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
  • Operating systems
  • Artificial Intelligence
  • Computer Organization and Architecture
  • Formal Language and Automata Theory
  • Software Engineering
  • Design and Analysis of Algorithms
  • Artificial Intelligence
  • Artificial Neural Networks
  • Case-based Reasoning
  • Fuzzy Logic and Data Mining Problems

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

  • Artificial Intelligence
  • Software Engineering
  • Machine Learning Algorithms
  • Operating Systems
  • Formal Languages  and Automata Theory
  • Data Mining
  • Fundamentals-II (M. Tech)
  • Design and analysis of Algorithms

Administrative Work: DUPC Secretary, 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, Associate Warden of hostel-6, Former nodal officer NKN network, Former Head of Central Computer Centre.


PhD Students Guiding

Role Name of the student Research Area Institute Year of Award
Sole Supervisor Rohen Heisnam Singh Neuro-Fuzzy Techniques NIT Silchar -
Co-Supervisor Debashree Devi Treatment of imbalanced data at data level and algorithm level NIT Silchar -
Principal Supervisor Manomita Chakraborty Symbolic rule extraction from neural network and deep neural network NIT Silchar -
Principal Supervisor Monali Bordoloi Application of Machine learning techniques: sentiment analysis NIT Silchar -

PUBLICATION

International Journal (Accepted/ Published)

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 Accepted (SCI journal)

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, Accepted (SCI journal)

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, Accepted (SCI journal)

15. Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha: REDUNDANCY-DRIVEN MODIFIED TOMEK LINK BASED UNDERSAMPLING: A SOLUTION TO CLASS IMBALANCE, Pattern Recognition Letters, Elsevier Accepted (SCI journal)

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, Accepted

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)

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, Accepted (SCI journal)

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, 2015, Vol. 21, Nos. 4/5/6, pp. 272-293. (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, 2015, vol. 3, issue 1, pp. 1-12.

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, 2015 vol.3 no. 2, pp. 111-121.

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, 2014, vol. 9, pp. 57– 70. (SCI journal)

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, 2014, vol. 6, no.3, pp. 235-254. (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, 2014, Vol. 2, Nos. 2/3, pp. 166-180.

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, 2014, Vol. 3, No. 1, pp. 1-19.

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)

7. Saroj Kr. Biswas, Heisnam Rohen Singh, Biswajit Purakayastha: A Neuro-fuzzy Classification Technique using Dynamic Clustering, Engineering Applications of artificial Intelligence,ElsevierMajor Revision (SCI journal)

6. Saroj Kr. Biswas, Shreya Jecob, Akhil Kr. Das: A Graph-Based Keyword Extraction Approach from Tweets using Weighted Graph, Journal of Web Semantics, Elsevierunder 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)

4. Heisnam Rohen Singh, Saroj Kr. Biswas, Biswajit Purkayastha: Transparent Neuro-fuzzy model for Linguistic feature selection and rule base classification, Fuzzy set and system, Elsevierunder review (SCI journal)

3. 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)

2. Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha: Eclectic Rule Extraction from Neural Network Recursively, Neural processing letters, Springer, under review (SCI journal)

1. Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Recursive Rule Extraction from Neural Network using Reverse Engineering Technique. Neural computing and application, Springer, under review (SCI journal)

R&D PROJECTS

Name Sponsoring Agency Title of the Project Project Period Status (Completed/Ongoing) PI/Co-PI Cost in lakh
Dr S K Biswas DeitY 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

 

 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

 

Workshop/STTP Details

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