• Ph. D from NIT Silchar (CSE: Machine Learning) 
• M. Tech From National Institute of Technical Teachers’ Training and Research, Kolkata (CSE)
• B. Tech From Jalpaiguri Govt. Engineering College (CSE)

• Artificial Intelligence
• Machine Learning Algorithms
• Machine Learning Analytics 
• Data Science
• Deep Learning 
• Sentiment Analysis
• Image Processing

Subject Taught at UG programme	Subject Taught at PG programme
1. Introduction to Computing	1. Artificial Intelligence
2. Introduction to Switching Theory	2. Fundamental of computer Science-II (OS and CO)
3. Formal Languages and automata theory	3. Fundamental of computer Science-I
4. Computer Organization	4. Pattern Recognition
5. Operating Systems	5. Data Mining
6. Design and analysis of Algorithms	6. Foundation of Machine Learning
7. Software Engineering	7. Machine Learning Lab
8. Artificial Intelligence	8. Neural Networl and Deep Learning
9. Pattern Recognition
10. Machine Learning

INVITED TALK/EXPERT TALK:

[63] Expert Talk on “Hands-on Session in designing Machine Learning Model using Python” in an Online Refresher Course on Artificial Intelligence (Online) for University/College Teachers Scheduled from 9^th December 2024 to 21^stDecember 2024 at CENTRAL UNIVERSITY OF HARYANA. It was 87^th session of my expert talk. (December, 2024)

[62] Expert Talk on “Foundation of Machine Learning Model Design for AI Task” in an Online Refresher Course on Artificial Intelligence (Online) for University/College Teachers Scheduled from 9^th December 2024 to 21^stDecember 2024 at CENTRAL UNIVERSITY OF HARYANA. It was 86^th session of my expert talk. (December, 2024)

[61] Keynote Talk on “Foundation of Machine Learning and Deep Learning Techniques to Design AI Systems” in AICTE- Training and Learning (ATAL) Academy Sponsored six days Online Faculty Development Programme (FDP) on “Deep Learning & its Applications” at Shah and Anchor Kutchhi Engineering College, Chembur , Mumbai, Maharashtra. It was 85^th session of my expert talk. (December, 2024)

[60] Expert Talk on Foundation of Artificial Intelligence Model for AI Tasks (Healthcare System) in the celebration of WORLD PHYSIOLOGY WEEK at Silchar Medical College and Hospital, Assam (November, 2024)

[59] Expert Talk on “Foundation of Machine Learning Model Design for AI Task” in a Five-Day International FDP on MATHEMATICAL AND PHYSICAL FOUNDATIONS OF AI: BRIDGING ACADEMIA & INDUSTRY (MPFAI 2024) at TECHNO INDIA UNIVERSITY, WEST BENGAL  (November, 2024)

[58] Expert Talk on Nuts and Bolts in designing a Machine Learning Model: A Practical Approach (Theory  & Practical using Python) at PSG College of Technology, Coimbatore- TN, India (October, 2024)

[57] Expert Talk on “Design of a Machine Learning Model: Network-based Intrusion Detection System” in the AICTE Sponsored 3-Day Seminar under AICTE -VAANI Scheme on Artificial Intelligence in Cyber Security: Challenges and Opportunities for Digital Bharat at Jalpaiguri Government Engineering College, West Bengal. (22/08/2024)

[56] Expert Talk on Designing a Machine Learning Model with Data Analytics in a seminar on Applications of Machine Learning at Sreenidhi Institute of Science and Technology(SNIST), Hyderabad (20/03/2024)

[55] Expert Talk on Naive Bayes Classifier for Discrete and Continuous Attributes in UGC Malaviya Mission Teacher Training Centre on Mathematics & Computer Science from 09.01.2024 to 24.01.2024 at University of North Bengal, West Bengal (16/01/2024)

[54] Expert Talk on Foundation of Machine Learning to Design a Machine Learning Model in UGC Malaviya Mission Teacher Training Centre on Mathematics & Computer Science from 09.01.2024 to 24.01.2024 at University of North Bengal, West Bengal (16/01/2024)

[53] Expert Talk on The Presence and Impact of Computer Technology on Society in 21st Century in Solo Art Exhibition at Lakhipur, Cachar, Assam (15/01/2024)

[52] Expert Talk on Generative Adversarial Network (GAN) in One Week Online Short-Term Training Program on Generative Artificial Intelligence and Natural Language Processing organized by the Department of Artificial Intelligence at G H Raisoni College of Engineering Nagpur (04/01/2024)

[51] Expert Talk on Foundation of CNN architectures for Image Processing in One Week Online Short-Term Training Program on Generative Artificial Intelligence and Natural Language Processing organized by the Department of Artificial Intelligence at G H Raisoni College of Engineering Nagpur (04/01/2024)

[50] Expert Talk on The Presence and Impact of Computer Technology on Society in 21st Century at KV AFS Kumbhirgram, Cachar, Assam (8/12/2023)

[49] Keynote Speech on Machine Learning Analytics: Impact of Data Normalization in the Design of ML Model in International Seminar on Computational Technologies, Department of Computer Sc. & Application, St. Joseph’s College, Darjeeling (25/11/2023)

[48] Expert Talk on Hands-on Session on ML/DL for Image Classification using Python in AICTE-ISTE approved one week STTP on “Generative AI” organized by the Department of Information Technology at Sipna College of Engineering & Technology, Amravati (1/11/2023)

[47] Expert Talk on Foundation of CNN architectures for Image Processing in AICTE-ISTE approved one week STTP on “Generative AI” organized by the Department of Information Technology at Sipna College of Engineering & Technology, Amravati (1/11/2023)

[46] Keynote Speech on Machine Learning Analytics: Impact of Data Normalization in the Design of ML Model in the International Conference on Computer Science, Industrial Electronics (ICCSIE), Bali, Indonesia (05/08/2023)

[45] Expert Talk on Hands-on Session on ML/DL for Image Classification using Python in SERB-Karyashala-High end workshop on “Hands-on Training on Computational Intelligence for Health Informatics and Wearable Device Data Analysis” at NIT Silchar (24/07/2023)

[44] Expert Talk on Deep Learning: CNN architectures for Image Processing in SERB-Karyashala-High end workshop on “Hands-on Training on Computational Intelligence for Health Informatics and Wearable Device Data Analysis” at NIT Silchar (24/07/2023)

[43] Expert Talk on An Explainable Machine Learning Technique: Decision Tree and its Application in SERB-Karyashala-High end workshop on “Explainable AI(XAI): Theoretical Insights and Engineering Applications at NIT Silchar (03/07/2023: 2 sessions)

[42] Expert Talk on Hands-on Session on Data Science using Python in a Five-Day Online Faculty Development Program (FDP) on Research Scopes in Data Science & It’s Applications at VIT-AP University, Andhra Pradesh.  (02/06/2023: 1 session)

[41] Expert Talk on Perspective of Data Modelling in Data Science using ML in a Five-Day Online Faculty Development Program (FDP) on Research Scopes in Data Science & It’s Applications at VIT-AP University, Andhra Pradesh.  (02/06/2023: 1 session)

[40] Expert Talk on Backpropagation Neural Network: A Feed Forward Network at Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad. (01/05/2023: 1 session)

[39] Expert Talk on Feed Forward Neural Network: Perceptron Learning at Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad. (28/04/2023: 1 session)

[38] Expert Talk on Nut and Bolts of Machine Learning Model at G H Raisoni Institute of Engineering & Technology, Nagpur. (11/03/2023: 1 session)

[37] Expert Talk on Foundation of Machine Learning Model in Workshop on “Concepts and Applications of Computational Intelligence-Techniques (CACIT-2023)” supported by SERB, at Indira Gandhi National Tribal University, Amarkantak (M.P.) (10/02/2023: 1 session)

[36] Expert Talk on Foundation of Machine Learning to Design a Machine Learning Model in A 7-days Training Programme on ‘Machine Learning using Python’ at Mizoraram University (A Central University) in Aizawl, Mizoram, (07/02/2023: 2 sessions)

[35] Expert Talk on Machine Learning Using Python (Pandas, NumPy, Matplotlib,  Sklearn….) in One Day Seminar on Machine Learning at Gour  Mahavidyalaya, Malda  (24/12/2022: 2 sessions)

[34] Expert Talk on Machine Learning Analytics: Impact of Data Normalization in the Design of ML Model in One Day Seminar on Machine Learning at Gour Banga University, Malda  (23/12/2022: 2 sessions)

[33] Expert Talk on Ensemble Learning Approach to Design ML Model in International FDP on ‘Emerging Research Advancements in Intelligent Computing Technologies’ at Sri Krishna College of Engineering and Technology, Coimbatore (22/12/2022: 1 session)

[32] Keynote Talk on Machine Learning Analytics: Impact of Data Normalization in the Design of ML Model, AICTE Training And Learning (ATAL) Sponsored Two weeks FDP on Machine Learning & Data Science Applications at Inderprastha Engineering College, Ghaziabad U. P, (08/11/2022: 1 session)

[31] Keynote Talk on Impact of Data Normalization in Design of Machine Learning Model in IEEE SILCON 2022 at NIT Silchar subsection. (06/11/2022)

[30] Expert Talk on Impact of Data Normalization in Design of Machine Learning Model: A ML Model at A Two Weeks ATAL FDP under PM GatiShakti scheme on ‘Digital Supply Chain’ CSE, NIT Silchar. (20/10/2022:  2 sessions)

[29] Expert Talk on Foundation of Machine Learning & Hands on using Python at SERB-Karyashala On Hands-on Training and Workshop on Computational Biology and Bio-Medical Informatics during 25-31 July 2022” CSE & ECE, NIT Silchar. (25/07/2022: 2 sessions)

[28] Expert Talk on Deep Learning for Image Processing at the FDP on “Artificial Intelligence & Machine Learning  for Biomedical Signal and Image Analysis”, during 27^th june -06^th July, 2022, Kakatiya Institute of Technology and Science in association with E & ICT Academy NITW. (06/07/2022)

[27] Expert Talk on Introduction and Current Trends in Machine Learning at SYMPOSIUM ON MACHINE LEARNING AND ITS APPLICATIONS during 25th- 28th April, 2022, Manipal Institute of Technology Bengaluru, MAHE, Manipal ( 25/04/2022) 

[26] Expert Talk on Neural Network as a ML classifier in Guest Lecture on Neural Networks in VIT-AP University (11/04/2022) 

[25] Expert Talk on Machine Learning Using Python (Pandas, NumPy, Matplotlib,  Sklearn….) in a One-week FDP on Glimpse on Modern day Computing: IoT, AI, ML & Its Applications in VIT University (29/01/2022: 1 session of 2 hours)

[24] Expert Talk on Foundation of Machine Learning Model in a One-week FDP on Glimpse on Modern day Computing: IoT, AI, ML & Its Applications in VIT University (27/01/2022: 1 session of 2 hours)

[23] Expert Talk on Nuts and Bolts of Machine Learning Analytics at Sipna College of Engineering & Technology, Amravati in AICTE-ISTE INDUCTION/REFRESHER PROGRAMMES 2020 – 21 on Artificial Intelligence And Machine Learning (17^th and 18^th January, 2022; 6 sessions, total 9 hours)

[22]  Expert lecture on Data Science using Machine Learning in a one day webinar on Data Science Applications using ML & DL techniques, Krishna University, Machilipatnam (02/07/2021)

[21] Expert lecture on Design and Analysis of Algorithms  in a one-day Symposium at Bharat Institute of Engineering and Technology, Hyderabad (30/06/2021)

[20] Expert lecture on Artificial Neural Networks (ANNs) as ML Classifier in a One Day Workshop,Lendi Institute of Engineering & Technology, Vizianagaram  (10/06/2021)

[19] Expert lecture on Nut and Bolts of Machine Learning Model: Theory and Practical using Python in a A 7-DAYS WORKSHOP, Institute of Aeronautical Engineering, Hydrabad (from 20/05/2021 to 26/05/2021) (conducted the whole workshop only by Dr Saroj Kr. Bisaws as resource person; Total 14 hours)

[18] Expert lecture on Modelling and Evaluation of Data Science Model: Decision Tree a Supervised Learning Algorithm in webinar, Dr. B. C. Roy Engineering College, Durgapur (08/05/2021)

[17] Expert lecture on Big Data Analytics Using Machine Learning in a FDP on Skill sets requirements and research opportunities in Industrial Revolution 4.O organized by Baselios Mathews II College of Engineering, Kollam, Kerala (26/04/2021)

[16] Keynote Talk on Nuts and Bolts of Data Science and Modelling in the International Conference on Sustainable Advanced Computing ICSAC 2021, (06/03/2021)

[15] Expert lecture on Modelling and Evaluation of Data Science Model: Regression a Supervised Learning Approach in a FDP on Data Science organized by INSTITUTE OF AERONAUTICAL ENGINEERING, HYDERABAD (17/02/2021)

[14] Expert lecture on Impact of Feature Engineering in Modelling and Evaluation of Data Science Model in a FDP on Data Science organized by INSTITUTE OF AERONAUTICAL ENGINEERING, HYDERABAD (16/02/2021)

[13] Expert lecture on Nuts and Bolts of Data Science and Modelling in a one day workshop organized by Sabita Devi Education Trust & Brainware University, Kokkata (12/02/2021)

[12] Expert lecture on Efficacy of Feature Engineering in Machine Learning in Refresher Program on Feature Analysis using AI / ML organized by  Sri Krishna College of Engineering and Technology, Coimbatore (20/11/2020)

[11] Expert lecture on Modelling of Business/Social Intelligence: An Approach of Text Classification FDP on Machine Intelligence for Information Retrieval organized by NIT Kurukshetra (08/11/2020)

[10] Expert lecture on Modelling and Evaluation of Machine Learning System: Decision Tree FDP on Machine Intelligence for Information Retrieval organized by NIT Kurukshetra (07/11/2020)

[9] Expert lecture on Efficacy of Feature Engineering in Machine Learning in Refresher Program on Feature Analysis using AI / ML organized by  Sri Krishna College of Engineering and Technology, Coimbatore (23/10/2020)

[8]Expert lecture on CLUSTERING: AN UNSUPERVISED MACHINE LEARNING PARADIGM (NON SPHERICAL) in FDP on MACHINE LEARNING organized by University College of Engineering, JNTU, Kakinada (23/09/2020) 

[7] Expert lecture on CLUSTERING: AN UNSUPERVISED MACHINE LEARNING PARADIGM in FDP on MACHINE LEARNING organized by University College of Engineering, JNTU, Kakinada (22/09/2020) 

[6] Expert lecture on Foundation of Machine Learning for Data Science in FDP on Machine Learning  and Computer Vision: Applications, Research Challenges, organized by Department of Computer Science & Engineering NIT SILCHAR (24/08/2020)

[5] Expert lecture on Foundation of Machine Learning for Bio-Medical Engineering in FDP on Recent Research and Advances in Biomedical Engineering (RABE-2020) organized by Department of Electrical & Engineering NIT SILCHAR (23/08/2020)

[4] Expert lecture in webinar on “Foundation of Machine Learning for Data Science and Image Processing” organized by DEPARTMENT OF COMPUTER SCIENCE & APPLICATION GOUR MAHAVIDYALAYA, West Bengal (17/08/2020)

[3] Lecture on “Introduction of Machine Learning on Data Science” STTP on “Data Science and Learning Systems for Engineering Research & Design” jointly organized by NIT Kurukshetra & GEC Bikaner under TEQIP-III, 2020

[2] Lecture on “Machine Learning on Biomedical Applications” IE-Silchar Centre, 2020

[1] Special lecture on Artificial Intelligence and Data Structure, Guwahati University, 2019

EXTERNAL EXPERT & MEMBER:

[17] External examiner for Ph.D. defense viva-voce examination at  PSG College of Technology, Coimbatore under Anna University (October 2024)

[16] External examiner for Ph.D. defense viva-voce examination at  PSG College of Technology, Coimbatore under Anna University (August 2024)

[15] External examiner for Ph.D. defense viva-voce examination at MAKAUT, West Bengal on 1st July, 2024

[14] External examiner for Ph.D. defense viva-voce examination at KIIT, Odisha on 2nd May, 2024

[13] External examiner for Ph.D. defense viva-voce examination at VIT, Chennai on 5th March, 2024

[12] Subject Expert for Pre-PhD. Presentation at Bhilai Institute of Technologr, Durg, July 2024

[11] Subject Expert for guest faculty recruitment at Assam University, November  2023

[10] External Member of Board of Studies for the M.Tech-CSE program, VFSTR Deemed to be University from 23/04/2023

[9] External Examiner for final year project VIVA, Assam University, July 2022

[8] Subject Expert for guest faculty recruitment at Assam University, July 2022

[7] Subject Expert for guest faculty recruitment at Assam University, March 2022

[6] External Examiner for conducting ME Thesis VIVA VOCE (Software Engineering) Jadavpur University (18/08/2021)

[5] External Examiner for conducting ME Thesis VIVA VOCE (Software Engineering) Jadavpur University (05/08/2021)

[4] External Examiner for conducting ME Thesis VIVA VOCE (Software Engineering) Jadavpur University (15/08/2020)

[3] External Examiner for conducting ME Thesis VIVA VOCE (Information & Technology) Jadavpur University (05/08/2020)

[2] Subject Expert for guest faculty recruitment at Assam University, 2020

[1] External examiner of Artificial Intelligence and Data Mining subjects at Assam University, 2016

SESSION CHAIR

ROLE	EVENT
11. Session Chair	27th May, 2023, ICICCT-2023 JIMS New Delhi
10. Session Chair	3rd February, 2023, ISACC 2023 – Assam (Central) University
9. Session Chair	12th March 2022, MISP-2022 NIT Raipur
8. Session Chair	29th August 2021, (ASIANCON), IEEE Bombay Section
7. Session Chair	25h June, CONIT 2021, IEEE Bangalore Section
6. Session Co-ordinator	31st July, 2020 MIND-2020 NIT Silchar
5. Co-Session Chair	3rd July, 2020 IEEE International Conference on Computational Performance Evaluation (ComPE-2020), NEHU
4.  Session Chair	2019 ICRTECS-2019, NIT Silchar
3. Session Chair	April, 2018, IEEE Sponsored 5th International Conference for Convergence in Technology (I2CT) 2018”. Pune
2. Session Chair	ICACNI, 2018 NIT Silchar
1. Session Chair	22nd December, 2017 International Conference on Cognitive Informatics & Soft Computing (CISC-2017)
12. session chair	16th December, Emerging Electronics & Automation (E2A) – 2023, NIT Silchar

 

ADMINISTRATIVE WORK:

Former Departmental undergraduate Programme Committee (DUPC) Secretary, Departmental Post Graduate Programme Committee DPPC Secretary, DPPC Member,  M. Tech syllabus moderation committee member, Library sub-committee Member, Departmental Coordinator of Peer Review committee-2016, Departmental NBA Coordinator-2016,  Departmental Coordinator of Industry Interface, Former Associate Warden of hostel-6, Former nodal officer NKN network, Former Head of CCC, Nodal officer for programme “Digital India”, Member of B. Tech Time-Table committee, Library disposable committee member:  DPMC Member, Library Sub-committee Member, Institute GeM Committee Member, T&P Purchase Committee Member, Departmental GATE Committee Member,  Departmental NBA Coordinator since 2016, Library disposable committee member,

PRESENTLY: FIC of Central Computer Centre (Computers), Chairman of Institute ERP Committee, Member of Institute Ranking Committee

Number of M. Tech Project Guided/Ongoing:

No.	Scholar No.	Year	Project Title
1	12-25-113	2014	Performance Improvement of Case Based Reasoning in Medical Domain
2	12-25-101	2014	Weather Forecasting by Case Based Reasoning and Artificial Neural Networks
3	13-25-108	2015	Simultaneous Feature Selection and Fuzzy Rule Generation for Classification and Prediction by Neuro-Fuzzy Model
4	14-25-109	2016	Sentiment Analysis of Electoral Prediction using Twitter Data
5	15-25-106	2017	Keyword Extraction from Twitter Data using Graph Based Model
6	15-25-107	2017	Short boundary detection in moving video
7.	16-25-106	2018	Flood Management by Sentiment analysis using graph based model
8.	17-2-5-101	2019	Design of Transparent Medical Expert System Using Machine Learning Technique
9	18-2-5-104	2020	Transparent Rule Extraction From Neural Networks And Its Application In Banking Sector
10	19-22-117	2021	An Expert System for early diagnosis of Diabetic Retinopathy using Deep Learning
11	20-22-121	2022	Rainfall forecasting using recurrent neural network
12	21-22-104	2023	Design of Expert Systems for Early Detection of Parkinson’s Disease using Ensemble Learning
13	21-22-217	2023	Credit Risk Prediction using Stacking Ensemble
14	22-22-106	2024	Polycystic Ovary Syndrome using Deep Neural Network
15	23-22-107	2025	Early Breast Cancer Prediction using mammogram and Deep Learning Techniques
16

 

Number of Ph. D. Thesis Guided/Ongoing:

No.	Name of the student	Status	Role	Research Area
1	Rohen Heisnam Singh	Completed	Sole Supervisor	Design of Some Transparent Rule- Based Neuro-Fuzzy Systems for Decision Making
2	Debashree Devi	Completed	Principal-Supervisor	Some Studies on Treatment of Class Imbalance Problem Based on Data level and Ensemble Learning Solutions
3	Manomita Chakraborty	Completed	Principal Supervisor	Design of Rule Extraction Algorithms to Generate Interpretable Classification Rules using Neural Networks
4	Monali Bordoloi	Completed	Sole Supervisor	Sentiment Analysis using Effective Keyword Extraction Algorithm and Classification
5	Arpita Nath Boruah	Completed	Principal Supervisor	Design of transparent expert systems using Decision tree and Random forest
6	Dolly Das	Completed	Principal Supervisor	Design and Implementation of Deep Learning Based Intelligent System for Early Detection of COVID-19 using Chest X-Ray Images’
7	Sounak Majumder	Comprehensive Done	Principal Supervisor	Data Science (Rainfall Prediction)
8	Soumen Das	Completed	Principal Supervisor	Design of Sign Language Recognition System for Indian Sign Language Using Deep Learning Techniques
9	Satish Mankala	Comprehensive Done	Principal Supervisor	Data Science
10	Leelkanth Dewangan	Comprehensive Done	Sole Supervisor	Data Science
11	Deeksha Tripathi	Comprehensive Done	Sole Supervisor	CYP using Ensemble Learning Analytics
12	Barsha Abhisheka	Completed	Principal Supervisor	Designing and Developing Expert Systems for Early Detection of Breast Cancer using Advanced Machine Learning Techniques on Ultrasound Images
13	Anil Kumar Desari	Comprehensive Done	Principal Supervisor	Intrusion Detection using Ensemble Learning Analytics
14	Atiya khan	Synopsis Submitted	Principal Supervisor	Sleep disorder Analysis using Data Science
15	KANCHARAGUNTA KISHAN BABU	Comprehensive Done (PT)	Principal Supervisor	Medical Image Analysis Using Deep Learning
16	Somavarapu Jahnavi	Comprehensive Done (PT)	Sole Supervisor	Medical Image Analysis Using Deep Learning
17	Madhusudan Rao	Course work (PT)	Principal Supervisor	Data Science
18	A Yaganteeswarudu	Synopsis Submitted	Principal Supervisor	Data Science
19	Akhil Kumar Das (Registered under University of North Bengal )	Synopsis Submitted	Co- Supervisor	An Approach towards Design and Implementation of Expert Systems for Breast Cancer Detection and Management using Machine Learning Analytics
20	Arijit Bhattacharya (Registered under University of North Bengal	Synopsis Submitted	Co- Supervisor	Design and Implementation of Expert System for Credit Risk classification using Machine Learning Analytics

 

R & D Project:

Name	Sponsoring Agency	Title of the Project	Project Period	Status (Completed/Ongoing)	PI/Co-PI	Cost in lakh
Dr S K Biswas	DEITY, Govt. of India	Analysis of Brain Waves and development of intelligent model for Silent Speech Recognition.	24 Months	completed	Co-PI	25(around)
Dr S K Biswas.	NIT Silchar under STIS	Implementation of a Rainfall forecasting model for Silchar weather station.	18 Months	Incomplete due to partial funding	PI	3.95
Dr S K Biswas	NIT Silchar under STIS	Development of an android child e-health care system for N-E Region.	18 Months	Incomplete due to partial funding	Co-PI	3.79
Dr S K Biswas	NPIU  (World Bank)	Treatment of Class Imbalance Problem at Data Level	12 months	completed	Co-PI	6.10

 

PUBLICATION

International journal (Accepted/Published):

[78] Yaganteeswarudu Akkem, Saroj Kr. Biswas: ‘Analysis of An Intellectual Mechanism of a Novel Crop Recommendation System using Improved Heuristic Algorithm-based Attention and Cascaded Deep Learning Network’. IEEE Transactions on Artificial Intelligence, Accepted (SCOPUS journal)  (November, 2024)

[77] Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, Barnana Baruah: ‘Intelligent Sleep Apnea Detection by Advanced ML using Single-Lead EEG Signal data’, IEEE Sensors Journal, Accepted, (SCI journal, IF: 4.3)  (November, 2024)

[76] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘OHABM-Net: An Enhanced Attention-Driven Hybrid Network for Improved Breast Mass Detection’, Neural Computing and Applications, Springer, Accepted, (SCI journal, IF: 4.70)  (October, 2024)

[75] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi: ‘Role of explainable AI in crop recommendation technique of smart farming’,  International Journal of Intelligent Systems and Applications, Accepted (SCOPUS journal)  (September 2024)

[74] Deeksha Tripathi, Saroj Kumar Biswas, Barnana Baruah: ‘Data Analytics in Ensemble Learning for Effective Crop Yield Prediction’, Engineering Research Express, IOPscence, Accepted (SCOPUS journal)  (September 2024)

[73] Deeksha Tripathi, Saroj Kumar Biswas: ‘Design of a Precise Ensemble Expert System for Crop Yield Prediction using Machine Learning Analytics’, Journal of Forecasting, Wiley, Accepted, (SSCI journal)  (July, 2024)

[72] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi: ‘Streamlit based enhancing Crop Recommendation Systems with advanced explainable artificial intelligence for smart farming’, Neural Computing and Applications, Springer, Accepted, (SCI journal, IF: 4.70)  (July, 2024)

[71] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection’, International Journal of Imaging Systems and Technology, Wiley, Accepted, (SCI journal, IF: 3.00)  (June, 2024)

[70] Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka: ‘An Ensemble Learning-Assisted Obstructive Sleep Apnea Detection Model Using EEG Physiological Signals and Improved Extra Tree Classifier’, IEEE Sensors Letters, vol. 8, no. 7,  DOI: 10.1109/LSENS.2024.3406446, (SCI journal, IF: 2.8)  (May, 2024)

[69] Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, Akhil Kumar Das: ‘A Machine Learning Model for Obstructive Sleep Apnea Detection Using Ensemble Learning and Single-Lead EEG Signal Data’, IEEE Sensors Journal, DOI: 10.1109/JSEN.2024.3397395, Accepted, (SCI journal, IF: 4.3)  (April, 2024)

[68] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha: ‘Occlusion Robust Sign Language Recognition System for Indian Sign Language Using CNN and Pose Features’,  Multimedia Tools and Applications, Springer, doi.org/10.1007/s11042-024-19068-0, Accepted, (SCI journal, IF: 3.6)  (March, 2024)

[67] Rahul Karmakar, Saranagata Kundu, Saroj Kr. Biswas, Deeksha Tripathi: ‘Efficacy of Ensemble Learning Method over Individual Classifier for Rainfall Forecasting in Eastern India’, Journal of The Institution of Engineers (India): Series B,  Springer, doi.org/10.1007/s40031-024-01011-4, Accepted (SCOPUS indexed) (March, 2024)

[66] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘HBMD-Net: Feature Fusion based Breast Cancer Classification with Class Imbalance Resolution’, Journal of Imaging Informatics in Medicine, Springer, DOI:10.1007/s10278-024-01046-5, Accepted, (SCI journal, IF: 5.4)  (February, 2024)

[65] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha: ‘An Expert System for Indian Sign Language Recognition using Spatial Attention based Feature and Temporal Feature’, Transactions on Asian and Low-Resource Language Information Processing, ACM Transaction,  vol. 23, no. 3, pp. 37:1-37:23  (SCI journal, IF: 1.471)  (January, 2024)

[64] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘HBNet: An integrated approach for Resolving Class Imbalance and Global Local Feature Fusion for Accurate Breast Cancer Classification’, Neural Computing and Applications, vol. 36 no. 15, pp. 1-18, Springer, (SCI journal, IF: 6.0)  (January, 2024)

[63] Saroj Kr. Biswas, Arijit Bhattacharya, Abhinaba Dattachaudhuri, Manomita Chakraborty: ‘Comprehensible and Transparent Rule Extraction using Neural Network’, Multimedia Tools and Applications, Springer, DOI: 10.1007/s11042-024-18254-4, Accepted, (SCI journal, IF: 3.6)  (January, 2024)

[62] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi: ‘A Comprehensive Review of Synthetic Data Generation in Smart Farming by Using Variational Autoencoder and Generative Adversarial Network’, Engineering Applications of Artificial Intelligence, vol. 131, 2024, 107881, pp. 1-18, Elsevier, Accepted, (SCI journal, IF: 8.0)  (January, 2024)

[61] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi: ‘Streamlit Application for Advanced Ensemble Learning Methods in Crop Recommendation Systems – A Review and implementation’, Indian Journal of science & technology, Accepted (January, 2024) 

[60] Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, Arijit Bhattacharya: ‘Machine Learning Based Intelligent System for Breast Cancer Prediction (MLISBCP),’ Expert Systems With Applications, vol. 242,  2024, 122673, pp. 1-13,  Elsevier, (SCI journal, IF: 8.5 )  (November, 2023)

[59] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘Recent Trend in Medical Imaging Modalities and their Applications in Disease Diagnosis: A Review’, Multimedia Tools and Applications, Springer, vol. 83, no. 2, pp. 43035–43070, (2024) (SCI journal, IF: 3.6) (September, 2023)

[58] Barsha Abhisheka , Saroj Kumar Biswas, Biswajit Purkayastha: ‘A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning’ Archives of Computational Methods in Engineering, vol.30, no. 17, pp. 5023-5052, Springer (SCI journal, IF: 8.967)  (June, 2023) 

[57] Tanmoy Kanti Halder, Kanishka Sarkar, Ardhendu Mandal, Saroj Kr Biswas, ‘ A robust head MRI/CT background removing approach using dynamic morphological operations’, Proceedings of the Indian National Science Academy, DOI: 10.1007/s43538-023-00175-9,  vol. 89, pp. 673–688, (2023) Springer, (SCOPUS indexed) (June, 2023)

[56] Dolly Das, Saroj Kr. Biswas, Sivaji Bandyopadhyay, ‘Mixed Attention and Regularized COVID-19 Network: An approach to detection of COVID-19 with Chest X-Ray images’, International Journal of Imaging Systems and Technology, vol. 33, no. 4, pp. 1194-1222, Wiley (SCI journal, IF: 2.177)  (7th April, 2023) 

[55] Monali Bordoloi, S. K. Biswas, ‘Sentiment Analysis: A Survey on Design Framework, Applications and Future Scope’, Artificial Intelligence Review,  vol. 56, no. 1, pp. 12505-12560, Springer, (SCI journal, IF: 9.588)  (February, 2023) 

[54]  Leelkanth Dewangan and Saroj Kumar Biswas, ‘Usage of Electroencephalography (EEG) signals for various neurological medical conditions using Machine Learning and Deep Learning: A comprehensive study’,  Journal of Interdisciplinary Mathematics, Taylor & Francis, Accepted, (SCOPUS indexed) (January, 2023)

[53] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi, ‘Smart farming using artificial intelligence: A Review’, Engineering Applications of Artificial Intelligence, vol. 120, April 2023, 105899, pp. 1-12, Elsevier, (SCI journal, IF: 8.o)  (21st January, 2023)

[52]  Manomita Chakraborty, Amit Kumar Verma, Arpita Nath Boruah, Saroj Kr. Biswas, A Transparent Machine Learning Algorithm to Manage Diabetes: TDMSML, Advances in Computational Intelligence, vol. 3, issue 5, pp. 1-14, Springer, Accepted (20th December, 2022) 

[51] Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, ‘An Expert System for Breast Cancer Prediction (ESBCP) using Decision Tree  ‘ Indian Journal of Science and Technology, vol. 15, no. 45, pp. 2441-2450, 2022 (Web of Science )

[50] Dolly Das, Saroj Kr. Biswas, Sivaji Bandyopadhyay, ‘Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC)’ Multimedia Tools and Applications, vol. 82, pp. 29943–30001, Springer, November 22 (SCI journal, IF: 3.6) (28th October, 2022)

[49] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha, ‘Automated Indian Sign Language Recognition System by Fusing Deep and Handcrafted Feature’, Multimedia Tools and Applications, vol. 82, pp. 16905–16927, Springer, October 2022 (SCI journal, IF: 3.6) (22nd October, 2022)

[48] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha, ‘A Deep Sign Language Recognition System for Indian Sign Language’, Neural Computing and Applications,  vol. 35, pp. 1469–1481, Springer, September 2022 (SCI journal, IF: 6.0) (12th September, 2022)

[47] Arijit Bhattacharya, Saroj Kr. Biswas, Ardhendu Mandal, ‘Credit Risk Evaluation: A Comprehensive Survey’, Multimedia Tools and Applications, vol. 82, pp. 18217–18267, Springer, October 2022 (SCI journal, IF: 3.6) (12th September, 2022)

[46] Manomita Chakraborty, Saroj Kr. Biswas, “Rule Extraction using Ensemble of Neural Network Ensembles”, Cognitive Systems Research, vol. 75, no. 10, pp. 36-52, Elsevier, July, 2022 (SCI journal, IF: 4.541)  (11th July, 2022)

[45] Saroj Kr Biswas, Arpita Nath Boruah, Rajib Saha, Ravi Shankar Raj, Manomita Chakraborty, Monali Bordoloi, “Early Detection of Parkinson Disease using Stacking Ensemble Method”, Computer Methods in Biomechanics and Biomedical Engineering, vol. 26, issue. 5, pp. 527-539, Taylor & Francis, DOI: 10.1080/10255842.2022.2072683, (SCI journal, IF: 2.030)  (28th April, 2022)

[44] Arpita Nath Boruah, Saroj Kr. Biswas, Sivaji Bandyopadhyay, “Transparent Rule Generator Random Forest (TRG-RF): An Interpretable Random Forest”, Evolving Systems, vol. 14, pp. 69–83, (2023), Springer, DOI: 10.1007/s12530-022-09434-4, (SCI journal, IF: 3.2) (15th March, 2022)

[43]  Arpita Nath Boruah, Saroj Kr. Biswas, Sivaji Bandyopadhyay   “Rule extraction from Decision Tree: Transparent Expert System of Rules (TESR)”, Concurrency and Computation: Practice and Experience, vol. 34, no. 6, pp. 1-20, Wiley, March, 2022 (SCI journal, IF: 1.536) (24th Feb, 2022)

[42] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purakayastha, “Computer Aided Heart Disease Diagnosis using Recursive Rule Extraction Algorithms from Neural Networks”, International Journal of Computational Intelligence and Applications,  vol. 21, no. 2, pp. 2250011-1-2250011-26, World Scientific, June, 2022 (ESCI, SCOPUS indexed) (15th Feb, 2022)

[41] Dolly Das, Saroj Kr. Biswas and Sivaji Bandyopadhyay, “A Critical Review on Diagnosis of Diabetic Retinopathy using Machine Learning and Deep Learning”,  Multimedia Tools and Applications, vol. 81, no. 18, pp. 25613–25655, Springer, July, 2022 (SCI journal, IF: 3.6) (9th Feb, 2022)

[40] Dolly Das, Saroj Kr. Biswas and Sivaji Bandyopadhyay, “Perspective of AI System for COVID-19 Detection using Chest Images: A Review” Multimedia Tools and Applications, vol. 81, no. 2, pp. 21471–21501, Springer, June, 2022  (SCI journal, IF: 2.757) (4th Jan, 2022)

[39] Manomita Chakraborty, Amit Kumar Verma, Saroj Kr. Biswas, “Breast Cancer Management System using Decision Tree and Neural Network”, SN Computer Science, vol. 2, no. 234 pp. 1-15, Springer, May 2021. (SCOPUS indexed)

[38] Abhinaba Dattachaudhuri, Saroj Kr. Biswas, Manomita Chakraborty, A Transparent Rule Based Expert System Using Neural Network, Soft Computing, vol. 34, no. 1, pp. 7731–7744, Springer, 2021 (SCI journal, IF: 3.050)

[37] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha, Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance, Journal of Experimental & Theoretical Artificial Intelligence, vol. 34, no. 1 pp. 143-174 Taylor & Francis, 2022 (SCI journal, IF: 2.111)

[36] Monali Bordoloi, S. K. Biswas, Keyword Extraction using Supervised Cumulative TextRank, Multimedia Tools and Applications, vol. 79, no. 1, pp. 31467–31496 November,  Springer, 2020 (SCI journal, IF: 2.577)

[35] Monali Bordoloi, S. K. Biswas, Graph Based Sentiment Analysis using Keyword Rank based Polarity Assignment, Multimedia Tools and Applications, vol. 79, no. 3, pp. 36033–36062, Springer, December, 2020 (SCI journal, IF: 2.577)

[34] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Rule Extraction from Neural Network trained using Deep Belief Network and Back Propagation, Knowledge and Information Systems  vol. 62, no. 17, pp. 3753–3781, Springer, September, 2020 (SCI journal, IF: 2.547)

[33] Rajdeep Ghosh, Nidul Sinha, Saroj Kumar Biswas & Souvik Phadikar, A modified grey wolf optimization based feature selection method from EEG for silent speech classification, Journal of Information and Optimization Sciences Taylor & Francis, Vol. 40 (2019), No. 8, pp. 1639–1652 (ESCI)

[32] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, A Novel Ensembling Method to Boost Performance of Neural Networks, Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, Accepted: doi.org/10.1080/0952813X.2019.1610799 (SCI journal, IF: 2.111)

[31] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha, Learning in presence of Class Imbalance and Class Overlapping by using One-class SVM and Undersampling Technique, Connection Science,  vol. 38, no. 3, pp. 1-38, DOI: 10.1080/09540091.2018.1560394, Taylor & Francis, (SCI journal, IF: 0.933)

[30] Manomita Chakraborty,   Saroj Kr. Biswas, Biswajit Purkayastha, Rule Extraction from Neural Network using Input Data Ranges Recursively, New Generation Computing,  vol. 37, no.1, pp.  67-96, Springer, (SCI journal, IF: 0.833)

[29] Heisnam Rohen Singh, Saroj Kr. Biswas, Rule Extraction from Neuro-fuzzy System for Classification using Feature Weights, International Journal of Fuzzy System Applications (IJFSA), vol. 9, no. 2, IGI Global, (SCOPUS indexed)

[28] Rajdeep Ghosh, Vikas Kumar, Nidul Sinha, Saroj Kumar Biswas, Motor imagery task classification using intelligent algorithm with prominent trial selection, Journal of Intelligent and Fuzzy Systems, vol. 35, no. 1, pp. 1-10, 2018 , IOP Press (SCI journal, IF 1.637)

[27] Monali Bordoloi, S. K. Biswas, Keyword Extraction from Microblogs using Collective Weight, Social Network Analysis and Mining, vol. 8, no. 1, 58, Springer, (SCOPUS, ESCI indexed)

[26] Rajdeep Ghosh, Nidul Sinha, Saroj Kumar Biswas, Automated Eye Blink Artifact Removal from EEG using Support Vector Machine and Autoencoder, IET Signal Processing, vol. 13, no. 2, pp. 141-148, DOI:  10.1049/iet-spr.2018.5111, (SCI journal, IF 1.754)

[25] Sujit Kumar, Saroj Kr. Biswas, Debashree Devi, TLUSBoost Algorithm: A Boosting Solution for Class Imbalance Problem, Soft Computing, https://doi.org/10.1007/s00500-018-3629-4, 2018, Springer. (SCI journal, IF 3.050)

[24] Nilesh Dilipkumar Gharde, Dalton Meitei Thounaojam, Badal Soni, Saroj K Biswas, Robust perceptual image hashing using fuzzy color histogram, Multimedia Tools and Applications, vol. 77, no. 23, pp. 30815-30840 Springer. (SCI journal, IF 2.101)

[23] Saroj Kr. Biswas, Intrusion Detection Using Machine Learning: A Comparison Study, International Journal of Pure and Applied Mathematics.  vol. 118, no. 19 2018, pp. 101-114. (SCOPUS indexed)

[22] Heisnam Rohen Singh, Dr. Saroj Kr. Biswas, Transparent Neuro-fuzzy model for Linguistic variables selection and rule-based classification, International Journal of Pure and Applied Mathematics. vol. 118, no. 19, 2018, pp. 85-100. (SCOPUS indexed)

[21] Monali Bordoloi, Dr. S. K. Biswas, Sentiment Analysis of Product using Machine Learning Technique: A Comparison among NB, SVM and MaxEnt, International Journal of Pure and Applied Mathematics. vol. 118, no. 19, 2018, pp. 71-83. (SCOPUS indexed)

[20] Manomita Chakraborty,   Saroj Kr. Biswas,  Biswajit Purkayastha,    Recursive Rule Extraction from Neural Network using Reverse  Engineering Technique, New Generation Computing,  vol. 36, no. 2, pp. 119-142, Springer (SCI journal, IF: 0.833)

[19] Saroj Kr. Biswas,  Monali Bordoloi,   Shreya Jecob,  A      Graph Based Keyword Extraction Model using Collective Node Weight, Expert Systems with Applications, Elsevier, vol. 97, pp. 51-59  (SCI journal, IF: 9.60)

[18] Saroj Kr. Biswas, Debashree Devi, Manomita Chakraborty: Hybrid Case Based Reasoning System by Under Sampling and Cost Sensitive Neural Network for Classification, Journal of Organizational and End User Computing, IGI Global, vol. 30, no. 4, pp. 104-122 · October 2018 (SCI journal, IF: 0.759)

[17] Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purakayastha: Rule Extraction from Neural Network using Classified and Misclassified Data: International Journal on Artificial Intelligence Tools, World Scientific vol. 26, no. 3 pp.1-26, 2017 (SCI journal, IF: 0.778)

[16] Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purakayastha: A Rule generation Algorithm from Neural Network using Classified and Misclassified Data: International Journal of Bio-Inspired Computation, Inderscience, vol. 11 no.1, pp. 60-70, 2018, (SCI journal, IF: 3.395)

[15] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha: REDUNDANCY-DRIVEN MODIFIED TOMEK LINK BASED UNDERSAMPLING: A SOLUTION TO CLASS IMBALANCE, Pattern Recognition Letters, Elsevier, vol. 93, pp. 3-12, 2017 (SCI journal, IF: 3.255  )

[14] Saroj Kr. Biswas, Monali Bordoloi, Biswajit Purakayastha: Review on Feature Selection and Classification using Neuro-Fuzzy Approaches, International Journal of Applied Evolutionary Computation, IGI Global, vol. 7 no. 4, pp. 28-44, 2016.

[13] Heisnam Rohen Singh, Saroj Kr. Biswas, Biswajit Purakayastha: A Neuro-fuzzy Classification Technique using Dynamic Clustering and GSS Rule Generation, Journal of Computational and Applied Mathematics, Elsevier vol. 309, pp. 683-694, 2016-2017 (SCI journal, 5-year IF: 2.014 )

[12] Saroj Kr Biswas, Monali Bordoloi, Heisnam Rohen Singh, Biswajit Purkayastha: A Neuro-fuzzy Rule-based Classifier Using Important Features and Top Linguistic Features, International Journal of Intelligent Information Technologies (IJIIT), vol. 12, issue 3  pp. 38-50, 2016, IGI Global (SCOPUS, SSCI(web of science))

[11] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang: Weather Prediction by Integrating Recurrent Neural Network Dynamics into Case Based Reasoning, International Journal of Knowledge Based Computer Systems, vol. 4, issue. 1 pp. 1-17, PublishingIndia.com, 2015.

[10] Saroj Kr. Biswas, Manomita Chakraborty, Heisnam Rohen Singh, Debashree Devi, Biswajit Purkayastha, Akhil Kr. Das, Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification, Soft computing, Springer, vol. 21, Issue 24, pp. 7579–7596, 2017, (SCI journal, IF 3.050)

[9] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Recent trends in CBR, challenges and future directions: a critical review” International Journal of Knowledge Based Computer Systems, PublishingIndia.com, Accepted, 2015, In press.

[8] Saroj Kr Biswas, Barnana Baruah, Nidul Sinha and Biswajit Purkayastha, A Hybrid CBR Classification Model by Integrating ANN into CBR, International Journal of Services Technology and Management,Inderscience,vol. 21, Nos. 4/5/6, pp. 272-293, 2015. (SCOPUS, ESCI(web of science))

[7] Saroj Kr. Biswas, Barnana Baruah, Biswajit Purkayastha, Manomita Chakraborty, An ANN Based Classification Algorithm for Swine Flu Diagnosis , International Journal of Knowledge Based Computer Systems, PublishingIndia.com, vol. 3, issue 1, pp. 1-12, 2015.

[6] Saroj Kr Biswas, Leniency Marbaniang , Biswajit Purkayastha, Manomita Chakraborty, Heisnam Rohen Singh, Monali Bordoloi, Rainfall Forecasting by Relevant Attributes Using Artificial Neural Networks – A Comparative Study, International Journal of Big Data Intelligence,Inderscience, vol.3 no. 2, pp. 111-121, 2015.

[5] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang, Hybrid expert system using case based reasoning and neural network for classification, Biologically Inspired Cognitive Architectures,Elsevier, vol. 9, pp. 57– 70, 2014 (SCI journal, IF: 1.074)

[4] Saroj K. Biswas, Nidul Sinha, Biswajit Purkayastha, A review on fundamentals of case-based reasoning and its recent application in different domains, International Journal of Advanced Intelligence Paradigms,Inderscience, vol. 6, no.3, pp. 235-254, 2014(SCOPUS journal)

[3] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang, Weather Prediction by Recurrent Neural Network Dynamics, International Journal of Intelligent Engineering Informatics,Inderscience, vol. 2, nos. 2/3, pp. 166-180, 2014 (ESCI journal).

[2] Saroj K. Biswas, Nidul Sinha, Barnana Baruah, Biswajit Purkayastha, Intelligent Decision Support System of Swine Flu Prediction using Novel Case Classification Algorithm, Int. J. Knowledge Engineering and Data Mining, Inderscience, vol. 3, No. 1, pp. 1-19, 2014.

[1] Saroj Kr. Biswas, Akhil Kr. Das, Dr. Biswajit Purkayastha, Dibyendu Barman, Techniques for Efficient Case Retrieval and Rainfall Prediction Using CBR and Fuzzy Logic, International Journal of Electronics Communication and Computer Engineering, vol. 4, issue 3, pp.692-698, 2013.

 

International journal (Under Review/Revision):

1. Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha: A Novel Feature Selection Based Classification Model for Handling Multiclass Imbalanced Data in Big Data Mining, Computers and Electrical Engineering, Elsevier, Major Revision (SCI journal, IF: 1.570)

2. Heisnam Rohen Singh, Saroj Kr. Biswas, Biswajit Purkayastha: A Transparent Neuro-fuzzy System for Classification using Important Features and Legitimate Rules, Elsevierunder review (SCI journal)

3. Saroj Kr. Biswas, Shreya Jecob, Akhil Kr. Das: A Graph-Based Keyword Extraction Approach from Tweets using Weighted Graph, International Journal on Semantic Web and Information Systems, IGI Global under review (SCI journal)

4.  Monali Bordoloi, Saroj Kr. Biswas: An Effective Sentiment Analysis Model using Graph Based Approach, International Journal on Semantic Web and Information Systems, IGI Global under review (SCI journal)

5. Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha: Rule Extraction from Neural Network trained using Deep Belief Network and Back Propagation, International Journal of Neural System, World Scientific under review (SCI journal)

6. Subhasish Chowdhury, Saroj Biswas, Manomita Chakraborty, Biswajit Purkayastha:  A Medical Expert System to Prevent Diseases Using P-Rules, Expert Systems with Applications, Elsevier, under review (SCI journal)

7. Heisnam Rohen Singh, Saroj Kr. Biswas: Transparent Neuro-Fuzzy System based on similar linguistic variables, Expert Systems with Applications, Elsevier, under review (SCI journal)

8.   Akanksha Goel, Saroj Kr. Biswas:  An Expert Flood Management Model by Situational Awareness using Twitter Data, Soft computing, Springer, under review (SCI journal)

9. Devi D., Biswas S. K., Purkayastha B., Correlation-based Oversampling aided Cost-sensitive ensemble learning technique for treatment of class imbalance, Neurocomputing, Elsevier (under review)

10. Preetam Chayan Chatterjee, Saroj Kumar Biswas, Biswajit Purkayastha, A Statistical Supervised Term Weighting Method for Keyword Extraction: RTF-IMI, Expert Systems With Applications, Elsevier (under review)

11. Monali Bordoloi, Preetam Chayan Chatterjee, Saroj Kumar Biswas and Biswajit Purkayastha, Ensemble Supervised TextRank for Keyword Extraction, IEEE Intelligent Systems, IEEE (under review)

 

International Conference (Accepted/ Published)

[91] Barsha Abhisheka, Saroj Kr. Biswas and Biswajit Purkayastha: ‘ A Weighted Average Ensemble Approach for Breast Cancer detection using Deep Learning with Genetic Optimization :GeneOptBM-Net’, 6th International Conference on  Computational Intelligence and Networks, IEEE, CINE-2024,kalinga institute of industrial technology, Bhubaneswar (Accepted).

[90] Yaganteeswarudu Akkem, Saroj Kr. Biswas and Aruna Varanasi: ‘Enhancing Transparency in Smart Farming: Local Explanations for Crop Recommendations Using LIME’, International Conference on Machine Learning and Data Engineering, ICMLDE 2024, UPES Dehradun  (Accepted).

[89] Kishan Babu,  Saroj Kr. Biswas, P K Nath, Atiya Khan and Akhil K Das: ‘Paired Face Sketch-to-Photo Synthesis using Generative Adversarial Networks’, 3rd IEEE CONFERENCE on Artificial Intelligence, Computational Electronics and Communication Systems (AICECS 2024), MIT Manipal (Accepted).

[88] Sajjad Hossain, Saroj Kr. Biswas, Dalton Meitei T, Atiya Khan and Kazy Noor e Alam Siddiquee: ‘Machine Learning Algorithms for Emotion Detection using EEG Signals’, IEEE CONFERENCE ON COMPUTING APPLICATIONS AND SYSTEMS (COMPAS 2024), Chattogram, Bangladesh.

[87] Rousanuzzaman, Saroj Kr. Biswas, Sajjad Hossain and  Biswajit Purkayastha: ‘EPD-ECNN: Enhanced PCOS Detection with Preprocessed Ultrasound Images and Ensemble CNN Model’,  IEEE International Conference on Communication, Computing and Signal Processing IICCCS-2024, Asansol engineering College, West Bengal (Accepted).

[86] Deeksha tripathi, Saroj Kumar Biswas, Biswajit Purkayastha, Akhil Kumar Das and Arijit Bhattacharya: ‘Strength of Ensemble Learning in Voting Classifier for Crop Yield Prediction’, 15th IEEE ICCCNT 2024, IIT Mandi, Himachal Pradesh (Accepted).

[85] Debasmita Saha, Ardhendu Mandal, Saroj Kr. Biswas, Shib Charan Choudhury, Arijit Bhattacharya and Akhil Kumar Das: ‘ Speckle Noise Removal form Three Dimensional Ultrasound Images of Ovaries’, International Conference on Computing and Machine Learning (CML 2024), Springer, Sikkim Manipal Institute of Technology, Sikkim Manipal University,  (Accepted).

[84] Anil Kumar Dasari, Saroj Kr. Biswas and Biswajit Purkayastha: ‘Intrusion Detection System using Stacked Ensemble Learning with Light Gradient Boosting Machine and Decision Tree’, ICNSBT 2024, Springer (Accepted).

[83] Atiya Khan, Saroj K. Biswas, Chukhu Chunka and Subhas Barman: ‘Ensembled Obstructive Sleep Apnea Detection Using Extra Tree Ensemble Technique’, 2nd International Conference on Advancement in Computation & Computer Technologies, -IEEE InCACCT-2024, Chandigarh University (Accepted).

[82] Saroj Kr. Biswas, Sajjad, Anil Kr Desari, Rousanuzzaman, Debasmita Saha, Arijit Bhattacharya and Akhil Kumar Das: ‘Performance of Ensemble Learning Techniques for Network-based Intrusion Detection System (NIDS): A Comparative Study’, International Conference on Computing and Machine Learning (CML 2024), Springer, Sikkim Manipal Institute of Technology, Sikkim Manipal University,  (Accepted).

[81] Arijit Bhattacharya, Saroj Kr. Biswas, Ardhendu Mandal and Akhil Kumar Das: ‘Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics’,  International Conference on Computing and Machine Learning (CML 2024), Springer, Sikkim Manipal Institute of Technology, Sikkim Manipal University,  (Accepted)

[80] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha:’Effectiveness of Class Imbalance Treatment for Diagnosis of PCOS using Machine Learning Models: A Comparative Study ‘, 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE,  Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India  (Accepted)

[79] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi: ‘The smart farming web application using Machine Learning approaches,’ Fifth IEEE International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2023, REVA University, Bengaluru (Accepted)

[78] Rousanuzzaman, Saroj Kr. Biswas, Debasmita Saha, Dalton Meitei Thounaojam, Barsha Abhisheka, Soumen Das, Biswajit Purkayastha: ESDPCOS: ‘Effectiveness of Combined CNN and Handcrafted Features for Ovarian Cyst Detection in PCOS Patients using Ultrasound Images’, 10th IEEE UP Section International Conference on Electrical, Electronics and Computer Engineering, (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[77] Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, Arijit Bhattacharya and Debasmita Saha: ‘Machine Learning Based Expert System for Breast Cancer Prediction (MLESBCP)’,  ICCTE-2023 at North Bengal University, West Bengal, publication in Springer-CCIS.  (Accepted)

[76] Debasmita Saha, Ardhendu Mandal, Saroj Kr. Biswas, Arijit Bhattacharya and Akhil Kumar Das: ‘ARU NET: Follicle Segmentation from Ultrasound Images of Ovaries Using Attention Residual U-NET Model’, ICCTE-2023 at North Bengal University, West Bengal, publication in Springer-CCIS.  (Accepted)

[75] Soumen Das, Saroj Kr. Biswas and Biswajit Purkayastha: ‘Hill-Climbing Optimization for An Efficient Indian Sign Language Recognition System using a k-means Clustering Approach for Keyframe Extraction’, 10th IEEE UP Section International Conference on “Electrical, Electronics and Computer Engineering” (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[74] Barsha Abhisheka, Saroj Kumar Biswas, Debasmita Saha, Soumen Das and Biswajit Purkayastha: ‘The efficacy of combining Deep and Handcrafted Features for Breast Cancer Classification using Ultrasound Images’, 10th IEEE UP Section International Conference on “Electrical, Electronics and Computer Engineering” (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[73] Jahnavi Somavarapu, Saroj Kumar Biswas, Biswajit Purkayastha, Barsha Abhisheka and Tejaswi Potluri: ‘Advancements and Challenges in Fully Automated  Online Proctoring Systems: A Comprehensive Survey of  AI-Driven Solutions’, SmartCom – 2024 and publication in Springer LNNS, Jaipur, India (Accepted)

[72] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha: ‘Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Models: A Comparative Analysis’, “4th IEEE International Conference on Innovations in Power and Advanced Computing Technologies”, i-PACT-2023, Vellore Institute of Technology (VIT) (Accepted)

[71] Barsha Abhisheka, Saroj Kumar Biswas, Soumen Das, Biswajit Purkayastha: ‘Combining Handcrafted and CNN Features for Robust Breast Cancer Detection using Ultrasound Images’, 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT-2023), IEEE, Graphic Era University, Dehradun  (Accepted)

[70] Atiya Khan, Saroj K. Biswas and Chukhu Chunka: ‘ESAD: Expert System for Apnea Detection Using Enhanced DWT Feature Extraction and Machine Learning Algorithms’, 14th ICCCNT 2023, IEEE, IIT Delhi, Delhi (Accepted)

[69] Trishita Saha, Saroj Kumar Biswas, Saptarsi Sanyal, Neeta Verma, Biswajit Purkayastha: ‘Credit Risk Prediction using Extra Tree Ensembling  Technique with Genetic Algorithm’, 14th ICCCNT 2023, IEEE, IIT Delhi, Delhi (Accepted)

[68] Trishita Saha,  Saroj Kumar Biswas, Saptarsi Sanyal, Binoti Patro, Biswajit Purkayastha: ‘Credit Risk Prediction using Machine Learning Analytics: An Ensemble Model’,  International Conference on Computer Science, Industrial Electronics (ICCSIE), Bali, Indonesia,  (Accepted)

[67] Shashank Barthe, Saroj Kumar Biswas, Saptarsi Sanyal and Biswajit Purkayastha: ‘Credit Risk Prediction using Stacking Ensemble’,2023 IEEE International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3), NIT Uttarakhand, (Accepted)

[66] Deeksha tripathi, Saroj Kumar Biswas, Biswajit Purkayastha, ‘A Comparative Analysis of Ensemble Learning Techniques for Crop Yield Prediction: CYPELA’,  4th IEEE sponsored International Conference on Computing and Communication System (I3CS) 2023, NEHU, Shillong, (Accepted)

[65] Yaganteeswarudu Akkem, Saroj Kr. Biswas, Aruna Varanasi, ‘Review on Smart farming monitoring using ML and MLOPOS’, International Conference on Innovative Computing and Communication (ICICC-2023), Scopus book series LNEE, Springer, (Accepted)

[64] Anil Kumar Dasari, Saroj Kr. Biswas, Saptarsi Sanyal and Biswajit Purkayastha, ‘Intrusion Detection System using Ensemble Learning Analytics’, IEEE  8th International Conference for Convergence in Technology (I2CT-2023), Pune, Maharashtra, (Accepted).

[63] Souvik Kumar Parui, Saroj Kr. Biswas, Soumen Das and Biswajit Purkayastha, ‘Multi-Featured Cluster based Keyframe Extraction for Efficient Video Processing and Management’, ‘IEEE Third International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET-2023)”, Vidya Vikas Insitute of Engineering & Technology, Mysuru, (Accepted)

[62] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha, ‘Rainfall Forecasting Using Artificial Neural Networks: A Review’, 8th International Conference on Nanoelectronics, Computational Intelligence & Communication Systems(NCCS-2022), Scopus book series LNEE, Springer, (Accepted)

[61] Soumen Das, Saroj Kr. Biswas and Biswajit Purkayastha, ‘Indian Sign Language Recognition System for Emergency Words by Using Shape and Deep Features’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted)

[60] Trishita Saha, Saroj Kumar Biswas, Saptarsi Sanyal, Souvik Kumar Parui and Biswajit Purkayastha, ‘Credit Risk Prediction using Extra Trees Ensemble Method’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted) (Won the best paper award)

[59]  Sounak Majumdar, Saroj Kr. Biswas, Biswajit Purkayastha and Saptarsi Sanya, ‘Rainfall Forecasting for Silchar City using Stacked-LSTM’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted) 

[58] Souvik Kumar Parui, Saroj Kr. Biswas, Soumen Das, Manomita Chakraborty and Biswajit Purkayastha, ‘An Efficient Violence Detection System from Video Clips using ConvLSTM and Keyframe Extraction’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted) 

[57] Deeksha tripathi, Saroj Kumar Biswas, ‘ An Expert System using Ensemble Learning for Crop Yield Prediction: EESCYP-I‘, IEEE, ICACCM2022, Tula’s Dehradun.  (Accepted)

[56] Arpita Nath Boruah, Saswati Debnath, Saroj Kumar Biswas, ‘A Transparent  Rule-Based System for Parkinson’s Disease Management‘, IEEE International Conference on Futuristic Technologies (INCOFT-2022) , Belgaum, India (Accepted)

[55] Ashmita Roy Medha, Saroj Kr. Biswas, Muskan Gupta, Arpita Nath Boruah, Rahul Kumar, Vivek Verma and Biswajit Purkayastha, ‘Current-best Particle Swarm Optimization’, IEEE IATMSI-2022, ABV-IIITM Gwalior, India.

[54] Sudipta Mandal, Saroj Biswas and Biswajit Purkayastha, ‘Efficacy of Recurrent Neural Networks in rainfall  forecasting: A case study of Shillong weather data’, International Conference on Intelligence Computing Systems and Applications (ICICSA 2022),  Springer   (Accepted)

[53] Arijit Bhattacharya, Dipankar Roy , Joydip Roy, Saroj Kr. Biswas, Ardhendu Mandal, Akhil Kumar Das, Debasmita Saha, and Ekram Alam: “An Expert System for Student Career Prediction Using Machine Learning Classifiers”  International Conference on Intelligence Computing Systems and Applications (ICICSA 2022),  Springer   (Accepted)

[52]   Saranagata Kundu, Saroj Kr.Biswas, Deeksha Tripathi, Rahul Karmakar, Sounak Majumdar and Sudipta Mandal: “A Review on Rainfall Forecasting using ML Techniques: Ensemble Learning Techniques” 7th International Conference on Microelectronics, Computing & Communication Systems (MCCS 2022)  Springer   (Accepted)

[51]    Rajdeep Paul, Saroj Kr. Biswas, Arpita Nath Boruah, Akhil Kr. Das and Biswajit Purkayastha: “Machine Learning Expert System for Breast Cancer Detection” “IEEE 2nd Asian Conference on Innovation in Technology (ASAINCON 2022) , Hosted by PCCOER , Pune , India (Accepted)

[50] Rajdeep Paul, Saroj Kr. Biswas, Arpita Nath Boruah, Akhil Kr. Das, S. Reshmi and Biswajit Purkayastha: “Expert System for Breast Cancer Prediction using Ensemble Learning”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

[49] Deeksha tripathi, Saroj Kumar Biswas, S. Reshmi, Arpita Nath Boruah, Biswajit Purkayastha: “Diabetes Prediction Using Machine Learning Analytics: Ensemble Learning Techniques”, “IEEE 2nd Asian Conference on Innovation in Technology (ASAINCON 2022) , Hosted by PCCOER , Pune , India (Accepted)

[48] Leelkanth Dewangan, Saroj Kumar Biswas and Anisha Soni: ” A Survey for Diagnosis of Parkinson Disease using Machine Learning Technique”, Shaastrarth 2022 (Computational Optimization, Modelling and Simulation: Recent Trends and Challenges), Bhilai Raipur, India (Accepted)

[47] Sandeep Kumar Rana, Arpita Nath Boruah, Saroj Kr. Biswas, Manomita Chakraborty and Biswajit Purkayastha: “Dengue Fever Prediction using Machine  Learning Analytics”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

[46] Anil Kumar Dasari, Saroj Kr. Biswas, Dalton Meitei Thounaojam, Debashree Devi, Biswajit Purkayastha: “Ensemble Learning Techniques and theirApplications: An Overview“, ICCCE 2022, Hyderabad  (Accepted)

[45] S. Reshmi, Saroj Kr. Biswas, Arpita Nath Boruah, Dalton Meitei Thounaojam and Biswajit Purkayastha: “Diabetes Prediction Using Machine Learning Analytics”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

[44] Sudhir Panda, Saroj Kumar Biswas, Dolly Das, Manomita Chakraborty and Biswajit Purkayastha: “Health Insurance Cost Prediction Using Regression Models”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

[43] Saptarsi Sanyal, Saroj Kumar Biswas, Dolly Das, Manomita Chakraborty and Biswajit Purkayastha: ” Boston House Price Prediction Using Regression Models”, IEEE 2nd CONIT 2022, Karnataka, India (Accepted)

[42] Arijit Bhattacharya, Souvik Kumar Parui, Saroj Kr Biswas and Ardhendu Mandal: “An Empirical Study on Credit Risk Assessment using Ensemble Classifiers”  ADSC-2022, Kazi Nazrul University, Asansol, West Bengal, (Accepted)

[41]. Saptarsi Sanyal, Dolly Das, Saroj Kumar Biswas, Manomita Chakraborty and Biswajit Purkayastha: “Heart Disease Prediction Using ML Classification Models”, IEEE 2022 INTERNATIONAL CONFERENCE OF EMERGING TECHNOLOGIES (INCET),Belagavi, Karnataka, (Accepted)

[40] Sudipta Mondal, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “A Review on Rainfall prediction using Neural Networks”  4th International Conference on Machine Intelligence and signal Processing (MISP 2022), NIT Raipur (Accepted)  

[39] Arpita Nath Boruah, Saroj Kumar Biswas, Pranjal Baishya, Dilip Kumar: “Expert System for Dengue Fever Prediction (ESDFP)”, 2021 IEEE Second International Conference TEMSMET, Pune (Accepted)  

[38] Akhil Kumar Das, Saroj Kr. Biswas,  Arijit Bhattacharya, Ekram Alam: “Introduction to Breast Cancer and Awareness”, Conference: 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, DOI: 10.1109/ICACCS51430.2021.9441686

[37] Soumen Das, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “A Review on Sign Language Recognition (SLR) System: ML and DL for SLR” IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT – 2021), Visakhapatnam (Accepted)

[36] Soumen Das, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “Intelligent Indian Sign Language Recognition Systems: A critical Review” ICT4SD 2021 Sprnger, Goa (Accepted)

[35] Dolly Das, Subhadip Das, Saroj K. Biswas : “Deep Diabetic Retinopathy Feature eXtraction and Random Forest based ensemble Classification System (DDRFXRFCS)” IEEE Sponsored Asian Conference on Innovation in Technology (ASIANCON) 2021”. Pune, Maharashtra, (Accepted)

[34] Subhadip Das, Dolly Das, Saroj K. Biswas “Deep Diabetic Retinopathy Detection System (DDRDS) using Convolutional Neural Network: A Comparative Study” “The IEEE International Conference on Intelligent Technologies(CONIT 2021)” Hubballi, Karnataka, India. (Accepted)

[33] Akhil Kumar Das, Saroj Kr. Biswas and Ardhendu Mandal, “Transparent Decision Support System for Breast Cancer  to determine the risk factor”, Machine Vision & Augmented Intelligence 2021, IIITDM JABALPUR

[32] Dolly Das, Saroj K. Biswas and Sivaji Bandyopadhyay, “Deep Learning Techniques for Early Detection of Diabetic Retinopathy: Recent Developments and Techniques”, 5th IEEE International Conference on Computing, Communication and Security (ICCCS-2020), IIT Patna (Accepted)

[31] Rahul Barman, Saroj K. Biswas, Dolly Das, Biswajit Purkayastha and Malaya Dutta Borah, “Case-Based Expert System for Early Detection of Diabetic Retinopathy”, International Conference on Cutting Edge Technologies and Communication Engineering (IC4E-2020), NIT Kurukshetra (Accepted)

[30] Bubul Doley, Arpita Nath Boruah, Sazidur Rahman, Saroj Kr. Biswas, Manomita Chakraborty, Sunita Sarkar and Biswajit Purkayastha, “An Improvised Particle Swarm Optimization using Balanced Local Best”, International Conference on Cutting Edge Technologies and Communication Engineering (IC4E-2020), NIT Kurukshetra (Accepted) 

[29] Sri Venkateswara Reddy, Dolly Das, Saroj K. Biswas, B. Sai Prashanth, B.Praful Bhargav, T. Vinay Kumar, Monali Bordoloi and Biswajit Purkayastha, “Comparative analysis of Intelligent Systems using Support Vector Machine for the detection of Diabetic Retinopathy”, International Conference on Cutting Edge Technologies and Communication Engineering (IC4E-2020), NIT Kurukshetra (Accepted)

 [28] Riju Das, Saroj Kr. Biswas, Debashree Devi, Biswajit Sarma, An Oversampling Technique by Reverse-Nearest Neighbor in SMOTE: Reverse-SMOTE, IEEE International Conference on Smart Electronics and Communication (ICOSEC 2020), (Accepted)

[27] Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, Manomita Chakraborty, A Neural Expert System to Identify Major Risk Factors of Breast Cancer, IEEE International Conference for Innovation in Technology (INOCON 2020), IEEE Bangalore Section, NCET Bangalore, (Accepted)

[26] Arpita Nath Boruah, Saroj Kumar Biswas, Sivaji Bandyopadhyay, An Expert System for Identification of Major Risk Factors of Parkinson’s Disease : B-TDS-PD,  IEEE India Council International Sub-Sections Conference (INDISCON-2020) (Accepted)

[25] Debashree Devi, Saroj. K. Biswas, Biswajit Purkayastha, A Review on Solution to Class Imbalance problem: Undersampling Approaches,  IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (Accepted)

[24] Arpita Nath Boruah, Saroj Kumar Biswas, Sivaji Bandyopadhyay, An Expert System to Manage Parkinson Disease by Identifying Major Risk Factors: TD-Rules-PD, IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (Accepted)

[23] Abhinaba Dattachaudhuri, Saroj Kumar Biswas, Sunita Sarkar, Arpita Nath Boruah, Manomita Chakraborty and Biswajit Purkayastha, Transparent Neural based Expert System for Credit Risk (TNESCR): An Automated Credit Risk Evaluation System, IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (Accepted)

[22] Abhinaba Dattachaudhuri, Saroj Biswas, Transparent Decision Support System for Credit Risk Evaluation: An Automated Credit Approval System, 2020IEEEHYDCON (Accepted)

[21] Arpita Nath Boruah, Saroj Kumar Biswas, Sivaji Bandyopadhyay, Sunita Sarkar, A Balanced Expert System to Manage Parkinson Disease by Identifying Major Risk Factors: B-TESM-PD, INTERNATIONAL CONFERENCE ON ELECTRONIC SYSTEMS AND INTELLIGENT COMPUTING, ESIC2020, Springer  NIT Arunachal Pradesh (Accepted)

[20] Dolly Das, Saroj Biswas, Sivaji Bandyopadhyay, Sunita Sarkar, Early Detection of Diabetic Retinopathy using Machine Learning Techniques: A Survey on Recent Trends and Techniques,  INTERNATIONAL CONFERENCE ON ELECTRONIC SYSTEMS AND INTELLIGENT COMPUTING, ESIC2020, Springer  NIT Arunachal Pradesh (Accepted)

[19] Rahul Barman,  Saroj Kumar Biswas,  Sunita Sarkar, Biswajit Purkayastha, Badal Soni, Image processing using Case-Based Reasoning: A survey,  INTERNATIONAL CONFERENCE ON ELECTRONIC SYSTEMS AND INTELLIGENT COMPUTING, ESIC2020, Springer  NIT Arunachal Pradesh (Accepted)

[18] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Data Mining Using Neural Networks in the form of Classification Rules: A Review, 4th International Conference on Computational Intelligence and Networks (CINE 2020), IEEE (Accepted)

[17] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Performance Analysis of Recursive Rule Extraction Algorithms for Disease Prediction, 4th ICACIE 2019, Springer (Accepted)

[16] Saroj Biswas, Rohit Upadhya, Nipan Das, Dolly Das and Manomita Chakraborty, An Intelligent System for Diagnosis of Diabetic Retinopathy, SocProS 2019, Liverpool Hope University UK (Accepted).

[15] Monali Bordoloi, S. K. Biswas, Machine Learning based Sentiment Analysis using Graph Based Approach, 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2019.

[14] Debashree Devi, Saroj Kr. Biswas, Biswajit Purkayastha, A cost-sensitive weighted Random Forest Technique for credit card fraud detection, 2019 International Conference on Computing, Communication and Networking Technologies, ICCCNT’19, Kanpur, India.

[13] Preetam Chayan Chatterjee, Monali Bordoloi, Saroj Kumar Biswas, Keyword Extraction using Graph Based Supervised Term Weighting, IESC 2019 NIT Meghalaya (Accepted) (Won the best paper award)

[12] Monali Bordoloi, Deepak Agarwal, S. K. Biswas, Effectiveness of POS Tagging in Graph Based Sentiment Analysis Model,   IEEE Sponsored 5th International Conference for Convergence in Technology (I2CT) 2018”. Pune (Accepted)

[11] Prabhudatta Kar, Trisha Bhattacharyya, Disha Mohanty, Sai Sachin Vutukuri, Manomita Chakraborty , Saroj Kr. Biswas, A Medical Expert System to Manage Disease using Oversampling and Decision Tree, ICRTECS-2019, NIT Silchar (Accepted)

[10] D. Devi, S.K. Biswas, B. Purkayastha, “A Boosting based Adaptive Oversampling Technique for treatment of Class Imbalance”, 8th International Conference on Computer Communications and Informatics, ICCCI’19, Coimbatore, India. 2019.

[9] Rajdeep Ghosh, Nidul Sinha, Saroj Kumar Biswas, Removal of Eye-blink Artifact from EEG using LDA and Pre-trained RBF Neural Network, ICACNI 2018, NIT Silchar, (SCOPUS indexed) Accepted

[8] Heisnam Rohen Singh, Saroj Kr. Biswas,“Transparent Neuro-fuzzy Rule-based Classification System”. International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering – (ICRIEECE), 2018, (KIIT), Bhubaneswar, (SCOPUS indexed) Accepted.

[7] Akanksha Goel, Manomita Chakraborty, Saroj Kr. Biswas,A Survey on Crisis Management using Social Media, IEMIS2018, Kolkata (SCOPUS indexed) Accepted.

[6] Saroj Biswas, Subhasish Chowdhury, Manomita Chakraborty, Biswajit Purkayastha Biswajit Purkayastha: A Medical Expert System to Identify Major Factor of Diseases using P-Rules, ICoIAS’2018, pp. 82-87, IEEE 2018. (Won the best paper presentation award).

[5]  Saroj Kr. Biswas, Keyword Extraction from Tweets using Weighted Graph, International Conference on Cognitive Informatics & Soft Computing (CISC-2017), In Book: Cognitive Informatics and Soft Computing, pp. 475-483, Springer 2019.

[4] Heisnam Rohen Singh, Dr. Saroj Kr Biswas,Dr. Biswajit Purkayastha, A Neuro-fuzzy Classification System using Dynamic Clustering, MISP-2017, In Book: Machine Intelligence and Signal Analysis, pp. 157-170, Springer 2019.

[3] Akanksha Goel, Manomita Chakraborty, Saroj Kr. Biswas, The role of social media in Crisis situation management: A survey, International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC 2017), In Book: Emerging Technologies in Data Mining and Information Security, pp. 439-448, Springer 2019.

[2] Monali Bordoloi, Dr. S. K. Biswas, Graph Based Sentiment Analysis Model for E- Commerce websites’ data, International Conference on Cognitive Informatics & Soft Computing (CISC-2017), In Book: Cognitive Informatics and Soft Computing, pp. 453-462, Springer 2019. (Won the best paper presentation award).

[1] Monali Bordoloi, Dr. S. K. Biswas, E- Commerce Sentiment Analysis using Graph Based Approach, International Conference on Inventive Computing and Informatics (ICICI 2017), Coimbatore, pp. 570-575, IEEE 2017.

Book Chapter (Under Review/Revision):

[1] Heisnam Rohen Singh, Dr. Saroj Kr. Biswas, Recent Neuro-fuzzy Approaches for Feature Selection and Classification, , In book: Exploring Critical Approaches of Evolutionary Computation, pp. 1-19, IGI Global, 2019.

[2] D. Devi, S. K. Biswas, B. Purkayastha, Early Detection of Parkinson’s Disease: An Intelligent Diagnostic Approach: In the book “Early Detection of Neurological Disorders using Machine Learning Systems”, 2019,  IGI Global. (Accepted)

Book:

[1]  ‘Sustainable Advanced Computing’ Springer, Select Proceedings of ICSAC 2021, https://link.springer.com/book/10.1007/978-981-16-9012-9, Sagaya Aurelia, Somashekhar S. Hiremath, Karthikeyan Subramanian, Saroj Kr. Biswas. 

[2] ‘Intelligent Computing Systems and Applications’ Proceedings of the 2nd International Conference, ICICSA 2023, Springer, https://link.springer.com/book/9789819754113, Sivaji Bandyopadhyay, Valentina Emilia Balas, Saroj Kumar Biswas, Anish Kumar Saha, Dalton Meitei Thounaojam

 PATENT:

Inventors	Title	Patent Application Number and Status	Country
YAGANTEESWARUDU AKKEM; SAROJ KUMAR BISWAS and ARUNA VARANASI	AN ARTIFICIAL INTELLIGENCE BASED EXPLAINABLE CROP RECOMMENDATION SYSTEM	2024/01704 Granted on 26th June 2024	Republic of South Africa
National Institute Of Technology Silchar, Kedar Nath Das, Saroj Kumar Biswas	PROCESSING DEVICE FOR MATHEMATICAL MODELLING FOR OPTIMAL COURSE-TIMETABLING	424492-001 Filed on 24/07/2024	India

Lab Setup

No.	Name of the Lab	Course	Sponsoring Agency
1	Brain Waves Research Lab	LabPG and Research	DEITY, Govt. of India
2	Artificial Intelligence	PG and Research	NIT Silchar

 

No. of Conferences/Symposium/Seminar/Workshop/STTP Organized: 

No	Name of the Program	Duration	Sponsoring Agency	Role
8.	ICICSA-2022	22-23  September, 2022	ICICSA-2022 and NIT Silchar	General Chair
7.	Computational Biology: Tools And Techniques	1 week (five days)	ISI Kolkata-NIT Silchar	Member of organizing committee
6.	Business Process Simulation (business data analysis by intelligent techniques)	1 day	NIT Silchar	Coordinator
5.	Advanced Fuzzy Logic	9 days	NIT Silchar	Co-Coordinator
4.	Fuzzy Sets & Fuzzy Logic	1 week (5 days)	NIT Silchar	Member of organizing committee
3.	Machine Learning and its application	1 week (5 days)	NIT Silchar	Coordinator
2.	Advances in Image Processing and Soft Computing Techniques	1 week (5 days)	NIT Silchar	Coordinator
1.	A Blend of IoT, Cyber Security and Blockchain (BICSB-2021)	1 week (5 days)23rd to 27th August 2021	NIT Silchar	Coordinator
9.	ICICSA-2023	22-23  September, 2023	ICICSA-2023 and NIT Silchar	General Chair

 

Workshop/STTP details Attended:

Name of the Faculty	Name of the Workshop/STTP	Duration & Date	Organizing committee / Institution
Dr. S K Biswas	Workshop on Analog/Mixed Signal Design	1 week (5 day)	NIT Silchar
Dr. S K Biswas	Workshop on creativity & innovation techniques and patenting in India and abroad	3 day	NIT Silchar
Dr. S K Biswas	Workshop on Fuzzy Sets & Fuzzy Logic	1 week (5 day)	NIT Silchar
Dr. S K Biswas	Faculty development program on effective teaching	1 week (5 day)	NIT Silchar
Dr. S K Biswas	Winter school training progamme on improvement of teaching methodology	1 week (6 day)	NITTTR, KolkataMHRD/AICTE
Dr. S K Biswas	Workshop on advance in transportation engineering	3 day	NIT Silchar
Dr. S K Biswas	Spring school on computational biology: tools and techniques	1 week (5 day)	ISI Kolkata-NIT Silchar
Dr. S K Biswas	Workshop on solar energy and its application	3 day	NIT Silchar
Dr. S K Biswas	IBM Mainframe academic initiative Workshop	2 day	Symbiosis international university, IBM
Dr. S K Biswas	National FDP on pedagogy: A framework for effective teaching and learning strategies	1 week (5 day)	NIT Silchar
Dr. S K Biswas	Workshop on machine learning and its applications	3 day	Indian Institute of space science and technology, Thiruvananthapuram
Dr. S K Biswas	Workshop on high performance computing	1 week (6 day)	CDAC, NIT Silchar
Dr. S K Biswas	3rd world summit on accreditation	3 day	NBA, Delhi
Dr. S K Biswas	AICTE Sponsored 3-Day Seminar under AICTE -VAANI Scheme on Artificial Intelligence in Cyber Security: Challenges and Opportunities for Digital Bharat	3 day(21-08-2024 to 23-08-2024)	Jalpaiguri Government Engineering College, West Bengal.

 

 

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