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

• 
  
• Artificial Intelligence
• Machine Learning Algorithms
• 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
7. Software Engineering
8. Artificial Intelligence
9. Pattern Recognition
10. Machine Learning

INVITED TALK:

[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

[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)

[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:

[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
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	Registration Done	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	Drug Design using Machine Language
8	Soumen Das	Course work	Principal Supervisor	Sign Language Recognition
9	Satish Mankala	Course work	Sole Supervisor
10	Ravi Lourembam	Course work	Sole Supervisor
11	Leelkanth Dewangan	Course work	Sole Supervisor
12	Riju Das	Ongoing(part time)	Sole Supervisor	Treatment of imbalanced data at data level: Oversampling Approach
13	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):

[39] Manomita Chakraborty, Amit Kumar Verma, Saroj Kr. Biswas, “Breast Cancer Management System using Decision Tree and Neural Network”, SN Computer Science Springer, Accepted

[38] Abhinaba Dattachaudhuri, Saroj Kr. Biswas, Manomita Chakraborty, A Transparent Rule Based Expert System Using Neural Network, Soft Computing, Springer, Accepted (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, Taylor & Francis, Accepted: (SCI journal, IF: 2.111)

[36] Monali Bordoloi, S. K. Biswas, Keyword Extraction using Supervised Cumulative TextRank, Multimedia Tools and Applications, Springer, Accepted (SCI journal, IF: 2.101)

[35] Monali Bordoloi, S. K. Biswas, Graph Based Sentiment Analysis using Keyword Rank based Polarity Assignment, Multimedia Tools and Applications, Springer, Accepted (SCI journal, IF: 2.101)

[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 Springer, Accepted (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: 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)

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)

 

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

 

 

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