Dr. Saroj Kr. Biswas

http://www.nits.ac.in/admin/uploads/saroj3-4877133108.jpg
Assistant Professor
Phone: +91-9508727987
Email: saroj@nits.ac.in

Date of Joining:
Academic/Industrial Experience: 9+ years teaching experience

 

ACADEMIC QUALIFICATIONS (FULL DETAILS )

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

AREA OF INTEREST AND SPECIALISATION (INCLUDING RESEARCH AREA)

  • Software Engineering
  • Artificial Intelligence
  • Machine Learning Algorithms
  • Artificial Neural Networks
  • Case-based Reasoning
  • Fuzzy Logic and Data Mining Problems

Subject Taught at UG programme:

  • Introduction to Computing
  • Introduction to Switching Theory
  • Formal Languages and automata theory
  • Computer Organization
  • Operating Systems
  • Design and analysis of Algorithms
  • Software Engineering
  • Artificial Intelligence
  • Pattern Recognition

Subject Taught at PG programme:

  • Artificial Intelligence
  • Fundamental of computer Science-II (OS and CO)
  • Pattern Recognition
  • Data Mining

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 ongoing Flood Management by Sentiment analysis using graph based model

 

Number of Ph. D Thesis Guided/Ongoing:

No. Name of the student Status Role Research Area
1 Rohen Heisnam Singh Ongoing Sole Supervisor Rule Extraction using Neuro-Fuzzy Techniques
2 Debashree Devi Ongoing Principal-Supervisor Treatment of imbalanced data at data level and algorithm level
3 Manomita Chakraborty Ongoing Principal Supervisor Symbolic rule extraction from neural network and deep neural network
4 Monali Bordoloi Ongoing Principal Supervisor Application of Machine learning techniques: sentiment analysis
5 Bhaskar Kamal Baishya Ongoing Sole Supervisor Treatment of imbalanced data

 

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 Ongoing Co-PI 25(around)
Dr S K Biswas. NIT Silchar under STIS Implementation of a Rainfall forecasting model for Silchar weather station. 18 Months ongoing 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 Ongoing Co-PI 3.79
Dr S K Biswas DST Treatment of class imbalance problem at data level 36months Ongoing PI 40 (around)

 

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

 

PUBLICATION

International journal (Accepted/Published):

   20. Manomita Chakraborty,   Saroj Kr. Biswas,  Biswajit Purkayastha,    Recursive Rule Extraction from Neural Network using Reverse  Engineering             Technique, New Generation Computing, Springer, Accepted (SCI journal, IF: 0.657)

    19. Saroj Kr. Biswas,  Monali Bordoloi,   Shreya Jecob,  A      Graph Based Keyword Extraction Model using Collective Node Weight, Expert Systems             withApplications, Elsevier, Accepted (SCI journal, IF: 3.928)

  1. 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 Accepted (SCI journal, IF: 0.759)
  1. Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purakayastha: Rule Extraction from Neural Network using Classified and Misclassified Data: International Journal on Artificial Intelligence Tools, World ScientificVol. 26, No. 3 pp.1-26, 2017 (SCI journal, IF: 0.504 )
  1. 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,Accepted, DOB: 10.1504/IJBIC.2016.10004336 (SCI journal, IF: 1.538)
  1. 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: 2.002  )
  1. 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.
  1. 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,Elseviervol. 309, pp. 683-694, 2016-2017 (SCI journal, IF: 1.328 )
  1. 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))
  1. 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.
  1. 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: 1.630)
  1. 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.
  1. 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))
  1. 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.
  1. 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.
  1. 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)
  1. 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)
  1. 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).
  1. 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. Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Rule Extraction from Neural Network using Input Data Ranges Recursively, Expert Systems with Applications, Elsevier, Revision (SCI journal, IF: 3.928)

2. 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)

3. 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)

4. Heisnam Rohen Singh, Saroj Kr. Biswas, Biswajit Purkayastha: Rule Extraction from Neuro-fuzzy System for Classification using Feature Weights, Soft computing, Springer, under review (SCI journal)

5. Saroj Kr. Biswas, Monali Bordoloi, Keyword Extraction from Microblogs using Collective Weight, Social Network Analysis and Mining, Springer under review (SCOPUS journal)

6. 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)

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

8. 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)

9. Sujit Kumar, Saroj Kr. Biswas, Debashree Devi, Biswajit Purkayastha: Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification, Soft Computing, Springer, under review (SCI journal)

10. Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha: A New Boosting Algorithm for Neural Networks, Neurocomputing, Elsevier under review (SCI journal)

11. Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha: Learning on medical decision making in presence of class imbalance and class overlapping: A study, Neurocomputing, Elsevier under review (SCI journal)

 

International Conference (Accepted/ Published)

  1. Monali Bordoloi, Dr. S. K. Biswas, Sentiment Analysis of Product using Machine Learning Technique: A Comparison among NB, SVM and MaxEnt, International Conference on Cognitive Informatics & Soft Computing (CISC-2017), Hyderabad, Advances in Intelligent Systems and Computing, AISC Series Springer (SCOPUS indexed) Accepted & Presented.
  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, IEEE xplore, Accepted & Presented.. 
  1. 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), Hyderabad, Advances in Intelligent Systems and Computing, AISC Series Springer (SCOPUS indexed) Accepted & Presented..
  1. 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), IEEE xplore, Accepted & Presented.. 
  1. Heisnam Rohen Singh, Dr. Saroj Kr Biswas, Dr. Biswajit Purkayastha, A Neuro-fuzzy Classification system using Dynamic Clustering, MISP-2017 International Conference On Machine Intelligence And Signal Processing IIT Indore, Springer series (SCOPUS indexed), Accepted & Presented.. 
  1. Heisnam Rohen Singh, Dr. Saroj Kr. Biswas, Transparent Neuro-fuzzy model for Linguistic variables selection and rule-based classification, International Conference on Cognitive Informatics & Soft Computing (CISC-2017), Hyderabad, Advances in Intelligent Systems and Computing, AISC Series Springer (SCOPUS indexed), Accepted & Presented.
  1. Saroj Kr. Biswas, Keyword Extraction from Tweets using Weighted Graph, International Conference on Cognitive Informatics & Soft Computing (CISC-2017), Hyderabad, Advances in Intelligent Systems and Computing, AISC Series Springer (SCOPUS indexed) Accepted & Presented.
  1. Saroj Kr. Biswas, Intrusion Detection Using Machine Learning: A Comparison Study” International Conference on Cognitive Informatics & Soft Computing (CISC-2017), Hyderabad, Advances in Intelligent Systems and Computing, AISC Series Springer (SCOPUS indexed) Accepted & Presented.
  1. Saroj Biswas, Subhasish Chowdhury, Manomita Chakraborty and Biswajit Purkayastha Biswajit Purkayastha: A Medical Expert System to Identify Major Factor of Diseases using P-Rules” submitted to ICoIAS’2018 (SCOPUS indexed) Accepted.
  2. Akanksha Goel, Manomita Chakraborty, Saroj Kr. Biswas, A Survey on Crisis Management using Social Media, IEMIS2018, Kolkata (SCOPUS indexed) Accepted.

Book Chapter (Under Review/Revision):

  1. Heisnam Rohen Singh, Dr. Saroj Kr. Biswas, Recent Neuro-fuzzy Approaches for Feature Selection and Classification, Exploring Critical Approaches of Evolutionary Computation, IGI Global (Under Review)

 

Lab Setup

No. Name of the Lab Course Sponsoring Agency
1 Brain Waves Research Lab LabPG and Research DEITY, Govt. of India

 

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

 

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