Dr. Saroj Kr. Biswas

 [“Try not to become a man of success, but rather try to become a man of value.” — Albert Einstein]
http://www.nits.ac.in/admin/uploads/saroj3-4877133108.jpg
Associate Professor
Phone: +91-9508727987
Email: saroj@nits.ac.in

Date of Joining: 03/05/2010
Academic/Industrial Experience: 12+ years teaching experience
Lab: Artificial Intelligence
Head of the Department of Computer Science & Engineering (Since August 2021……)
 

ACADEMIC QUALIFICATIONS (FULL DETAILS )

  • 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)

 

AREA OF INTEREST AND SPECIALISATION (INCLUDING RESEARCH AREA)

  • 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:

[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. (25/07/200: 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 27th june -06th 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, MatplotlibSklearn….) in a One-week FDP oGlimpse 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 oGlimpse 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 (17th and 18th 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:

[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
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)

 

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: PRESENTLY- 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, FIC of Central Computer Centre (Computers)

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 ongoing Rainfall forecasting using recurrent neural network

 

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 Symbolic rule extraction from neural network and deep neural network
4 Monali Bordoloi Completed  Sole Supervisor Application of Machine learning techniques: sentiment analysis
5 Arpita Nath Boruah Thesis Submitted Principal Supervisor Transparent Rule Extraction from Decision Tree and Random Forest
6 Dolly Das Registration Done Principal Supervisor Intelligent Diabetic Ratinopathy Systems
7 Sounak Majumder Course work Principal Supervisor Data Science (Rainfall Prediction)
8 Soumen Das Course work Principal Supervisor Sign Language Recognition
9 Satish Mankala Course work Sole Supervisor Data Science
10 Leelkanth Dewangan Course work Sole Supervisor Data Science
11 Deeksha Tripathi Course work Principal Supervisor Data Science
12 Barsha Abhisheka Course work Principal Supervisor Medical Image Analysis Using Deep Learning
13 Atiya khan Course work Sole Supervisor Data Science
14 KANCHARAGUNTA KISHAN BABU Course work (PT) Sole Supervisor Medical Image Analysis Using Deep Learning
15 Somavarapu Jahnavi Course work (PT) Sole Supervisor Medical Image Analysis Using Deep Learning
16 BAIRAPOGU SUNDARA LEELA Course work (PT) Sole Supervisor Medical Image Analysis Using Deep Learning
17 A Yaganteeswarudu Course work (PT) Principal Supervisor Data Science
18 Riju Das Ongoing(part time) Sole Supervisor Treatment of imbalanced data at data level: Oversampling Approach
19 Bhaskar Kamal Baishya Ongoing(part time) Sole Supervisor software reliability

 

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 Ongoing Co-PI  6.10

 

PUBLICATION

International journal (Accepted/Published):

[50] Dolly Das, Saroj Kr. Biswas and Sivaji Bandyopadhyay, ‘Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC)’ Multimedia Tools and Applications, Springer,  Accepted (SCI journal, IF: 2.757) (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, Springer,  Accepted (SCI journal, IF: 2.757) (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, Springer,  Accepted (SCI journal, IF: 5.102) (12th September, 2022)

[47] Arijit Bhattacharya, Saroj Kr. Biswas, Ardhendu Mandal, ‘Credit Risk Evaluation: A Comprehensive Survey’, Multimedia Tools and Applications, Springer,  Accepted (SCI journal, IF: 2.757) (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, Taylor & Francis, DOI:10.1080/10255842.2022.2072683Accepted: (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, Springer, DOI: 10.1007/s12530-022-09434-4Accepted (SCI journal, IF: 2.16) (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: 2.757) (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. 

[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 Applicationsvol. 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: 10.1080/09540091.2018.1560394Taylor & 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: 5.452)

[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)

[62] Sounak Majumdar, Saroj Kr. Biswas, 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)

[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 2021IIITDM 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)

 

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
1. Computational Biology: Tools And Techniques 1 week (five days) ISI Kolkata-NIT Silchar Member of organizing committee
2. Business Process Simulation (business data analysis by intelligent techniques) 1 day NIT Silchar Coordinator
3. Advanced Fuzzy Logic 9 days NIT Silchar Co-Coordinator
4. Fuzzy Sets & Fuzzy Logic 1 week (5 days) NIT Silchar Member of organizing committee
5 Machine Learning and its application 1 week (5 days) NIT Silchar Coordinator
6. Advances in Image Processing and Soft Computing Techniques 1 week (5 days) NIT Silchar Coordinator
7. A Blend of IoT, Cyber Security and Blockchain (BICSB-2021) 1 week (5 days)23rd to 27th August 2021 NIT Silchar Coordinator

 

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