Sanjay Chakraborty

Dr. Sanjay Chakraborty is currently working as an Assistant Professor at JIS University. He completed his Ph.D. thesis at the University of Calcutta. He completed his MTech from the National Institute of Technology, Raipur. He completed his B-Tech from the West Bengal University of Technology. He has published 54 research papers in various international journals, conferences, and book chapters. He has published two international authored books. His areas of interest are Data Mining & machine learning, feature subset selection, and quantum computing. He has a total of 11 years of teaching and research experience. He worked as a reviewer in several international conferences and SCI, SCOPUS journals including BMC Medical Informatics and Decision Making Journal, Scientific Reports Springer Nature, IEEE Transactions on Computational Social Systems, International Journal of Machine Learning and Cybernetics, Concurrency and Computation: Practice and Experience Journal Wiley, Egyptian Informat

EDUCATION

B.Tech from W.B.U.T (MAKAUT) in IT, M.Tech from NIT Raipur and Ph.D. (Tech) from University of Calcutta

RESEARCH INTERESTS

Quantum Computing, Machine learning, Data Mining

Scopus Publications

Utilization of fleshing waste of leather processing for the growth of zygomycetes: A new substrate for economical production of bio-polymer chitosan
Sandipan Chatterjee, Ashmita Das, Debasmita Paul, Sayan Chakraborty, and Poushali Choudhury
Elsevier BV



Smart Car with Safety Features and Accident Detection Alert System
Subhadip Ghosh, Soumen Maity, Sourav Chowdhury, and Sanjay Chakraborty
Springer Nature Singapore



A COVID-19 Infection Rate Detection Technique Using Bayes Probability
Arnab Mondal, Ankush Mallick, Sayan Das, Arpan Mondal, and Sanjay Chakraborty
Springer Nature Singapore



A Python-Based Virtual AI Assistant
Tirthajyoti Nag, Jayasree Ghosh, Manona Mukherjee, Subhadip Basak, and Sanjay Chakraborty
Springer Nature Singapore



Up-Regulated Proteins Have More Protein–Protein Interactions than Down-Regulated Proteins
Lopamudra Dey, Sanjay Chakraborty, and Saroj Kumar Pandey
Springer Science and Business Media LLC



Quantum image edge extraction based on classical robinson operator
Sanjay Chakraborty, Soharab Hossain Shaikh, Amlan Chakrabarti, and Ranjan Ghosh
Springer Science and Business Media LLC



Interplay between eclipses and soft cosmic rays




Effect of optimization framework on rigid and non-rigid multimodal image registration
Sayan Chakraborty, Ratika Pradhan, Nilanjan Dey, Rubén González Crespo, and João Manuel R.S. Tavares
Science Society of Thailand



Quantum image processing: challenges and future research issues
Sanjay Chakraborty, Sudhindu Bikash Mandal, and Soharab Hossain Shaikh
Springer Science and Business Media LLC



An AI-Based Medical Chatbot Model for Infectious Disease Prediction
Sanjay Chakraborty, Hrithik Paul, Sayani Ghatak, Saroj Kumar Pandey, Ankit Kumar, Kamred Udham Singh, and Mohd Asif Shah
Institute of Electrical and Electronics Engineers (IEEE)
The purpose of this paper is to show concisely how we can promote chatbots in the medical sector and cure infectious diseases. We can create awareness through the users and the users can get proper medical solutions to prevent disease. We created a preliminary training model and a study report to improve human interaction in databases in 2021. Through natural language processing, we describe the human behaviors and characteristics of the chatbot. In this paper, we propose an AI Chatbot interaction and prediction model using a deep feedforward multilayer perceptron. Our analysis discovered a gap in knowledge about theoretical guidelines and practical recommendations for creating AI chatbots for lifestyle improvement programs. A brief comparison of our proposed model concerning the time complexity and accuracy of testing is also discussed in this paper. In our work, the loss is a minimum of 0.1232 and the highest accuracy is 94.32%. This study describes the functionalities and possible applications of medical chatbots and explores the accompanying challenges posed by the use of these emerging technologies during such health crises mainly posed by pandemics. We believe that our findings will help researchers get a better understanding of the layout and applications of these revolutionary technologies, which will be required for continuous improvement in medical chatbot functionality and will be useful in avoiding COVID-19.


A Brief Concept on Machine Learning
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Supervised Learning-Based Data Classification and Incremental Clustering
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Preface
Mrityunjoy Chakraborty
IEEE



Real-Time Application with Data Mining and Machine Learning
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Data Classification and Incremental Clustering Using Unsupervised Learning
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Feature Subset Selection Techniques with Machine Learning
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Research Intention Towards Incremental Clustering
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Data Mining-Based Variant Subset Features
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Introduction to Data Mining and Knowledge Discovery
Sanjay Chakraborty, SK Hafizul Islam, and Debabrata Samanta
Springer International Publishing



Fundamentals, present and future perspectives of speech enhancement
Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, and Nilanjan Dey
Springer Science and Business Media LLC



The implementation of AI and AI-empowered imaging systems to fight against COVID-19-A review
Sanjay Chakraborty and Lopamudra Dey
Wiley



Development of an Extended Air Shower Array at Darjeeling: An Update
S. Roy, S. Chakraborty, S. Chatterjee, S. Biswas, S. Das, S. K. Ghosh, A. Maulik, and S. Raha
Springer Nature Singapore



An Empirical Analysis of Classifiers Using Ensemble Techniques
Reshu Parsuramka, Saptarsi Goswami, Sourav Malakar, and Sanjay Chakraborty
Springer Singapore



An Image Denoising Technique using Quantum Wavelet Transform
Sanjay Chakraborty, Soharab Hossain Shaikh, Amlan Chakrabarti, and Ranjan Ghosh
Springer Science and Business Media LLC



Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins
Lopamudra Dey, Sanjay Chakraborty, and Anirban Mukhopadhyay
Elsevier BV

RECENT SCHOLAR PUBLICATIONS

Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0
A Ghosh, S Bhattacharya, S Roy, S Ray, R Upadhyay, S Chakraborty
Health Informatics, Intelligent Systems and Networking Technologies (HINT 2024



Deep Learning Empowered IoT Toothbrush: A Paradigm Shift in Dental Health Monitoring
N Lodha, A Pal, S Das, S Roy, S Chakraborty, SK Pandey
1st International Conference on Artificial Intelligence for Innovations in 2024



Cricket Data Analytics: Forecasting T20 Match Winners through Machine Learning
S Chakraborty, A Mondal, A Bhattacharjee, A Mallick, R Santra, S Maity, ...
Journal of Knowledge-based and Intelligent Engineering Systems (IF-0.7) 28 2024



Type-n Fuzzy Logic – The next level of Type-1 and Type-2 Fuzzy Logic
S Maity, S Chakraborty, S Kumar Pandey, I De, S Nath
International Journal of Intelligent Engineering Informatics (IF-6.3) 11 (4 2024



A Study and Comparison of Deep Learning based Potato Leaf Disease Detection and Classification Techniques using Explainable AI
H Pal, S Ghatak, S Chakraborty, SK Pandey, S Maity, D Show, L Dey
Multimedia Tools and Applications 82 (26), 10.1007/s11042-023-17235-3 2023



Prediction of Winning Team in Soccer Game – A Supervised Machine Learning-Based Approach
S Chakraborty, L Dey, A Kairi, S Maity
Advances on Mathematical Modeling and Optimization with Its Applications 1 2023



A Comprehensive Examination of Phoneme Recognition in Automatic Speech Recognition Systems
S Bhatt, S Bansal, A Kumar, SK Pandey, KU Singh, S Chakraborty, ...
Traitement du Signal Journal (IF-1.9) 40 (5), 1997-2008 2023



Robotic Device for Farm Monitoring
S Maity, S Pal, S Chakraborty, I De
GB Patent 6,294,095 2023



Market-Based Stock Allocation Using a Hybrid Regression Model
S Chakraborty, A Kairi, N Dutta Roy, S Maity, S Kumar Pandey, I De
SN Computer Science 4 (4), 423 2023



Automatic Arrhythmias Recognition Using Support Vector Machines based on Characteristics of QRS Complex of ECG Signal
A Kumar, MK Ojha, SK Pandey, KU Singh, S Chakraborty, T Singh, ...
Traitement du Signal Journal (IF-1.9), Accepted 2023



A Study on Facemask Detection and Maintaining Safe Distance using AI and ML to Prevent COVID-19
A Mishra, P Paul, K Mondal, S Chakraborty
International Conference on Robotics, Control and Computer Vision (ICRCCV 2023



Computing for Data Analysis: Theory and Practices
S Chakraborty, L Dey
Springer Data Intensive Research 1, XVIII, 222 (ISBN: 978-981-19-8003-9) 2023



IoT Based Automated Rail Track Inspection Trolley (Granted)
S Maity, S Pal, S Chakraborty, L Dey, I De
IN Patent 201,567 2023



An AI-Based Medical Chatbot Model for Infectious Disease Prediction
S Chakraborty, H Pal, S Ghatak, SK Pandey, A Kumar, KU Singh, ...
IEEE Access 10 (10.1109/ACCESS.2022.3227208) 2022



Up-Regulated Proteins Have More Protein–Protein Interactions than Down-Regulated Proteins
L Dey, S Chakraborty, SK Pandey
The Protein Journal 41, 591–595 2022



Smart Car with Safety Features and Accident Detection Alert System
S Ghosh, S Maity, S Chowdhury, S Chakraborty
3rd International Conference on Emerging Technologies in data mining and 2022



Unique Design of a Smart Headphone (Granted)
S Maity, S Chakraborty, D Indrajit, D Bhattacharyya
IN Patent 206,411 2022



DEEP LEARNING TECHNIQUES FOR CLASSIFYING ARCHITECTURAL HERITAGE IMAGES
S Maity, S Chakraborty, I De, D Bhattacharyya
IN Patent App. 202,231,047,304 2022



Multi-Mode Volleyball Gaming Device
S Chakraborty, AS Mahapatra, S Dey
IN Patent App. 202,231,036,564 2022



Data Classification and Incremental Clustering in Data Mining and Machine Learning
S Chakraborty, S Hafizul Islam, D Samanta
Springer Cham (ISBN:978-3-030-93087-5) Authored Book 3, XXI, 196 2022

MOST CITED SCHOLAR PUBLICATIONS

Sentiment Analysis of Review Datasets Using Nave Bayes’ and K-NN Classifier
L Dey, S Chakraborty, A Biswas, B Bose, S Tiwari
International Journal of Information Engineering and Electronic Business 2016
Citations: 338



A Review on Application of Data Mining Techniques to Combat Natural Disasters
S Goswami, S Chakraborty, S Ghosh, A Chakrabarti, B Chakraborty
Ain Shams Engineering Journal (ASEJ) (IF-6.0) 9 (3), 365-378 2018
Citations: 201



Analysis and study of incremental k-means clustering algorithm
S Chakraborty, NK Nagwani
High Performance Architecture and Grid Computing, CCIS, Springer, 338-341 2011
Citations: 116



Machine Learning Techniques for Sequence-based Prediction of Viral-Host Interactions between SARS-CoV-2 and Human Proteins
L Dey, S Chakraborty, A Mukhopadhyay
Biomedical Journal 43 (5), 438-450 2020
Citations: 102



Performance comparison of incremental k-means and incremental dbscan algorithms
S Chakraborty, NK Nagwani, L Dey
arXiv preprint arXiv:1406.4751(International Journal of Computer Application 2011
Citations: 92



EEG based emotion classification using “Correlation Based Subset Selection”
D Das Chakladar, S Chakraborty
Cognitive Systems Research (Biologically Inspired Cognitive Architectures) 24 2018
Citations: 62



Analysis and study of Incremental DBSCAN clustering algorithm
S Chakraborty, NK Nagwani
arXiv preprint arXiv:1406.4754(International Journal of Enterprise Computing 2011
Citations: 44



Weather Forecasting using Incremental K-means Clustering
S Chakraborty, NK Nagwani, L Dey
arXiv preprint arXiv:1406.4756 2012
Citations: 39



Quantum image processing: challenges and future research issues
S Chakraborty, SB Mandal, SH Shaikh
International Journal of Information Technology 14 (1), 475–489 2018
Citations: 34



An Image Denoising Technique using Quantum Wavelet Transform
S Chakraborty, S Hossian Shaikh, A Chakrabarti, R Ghosh
Journal of Theoretical Physics 59 (11), 3348-3371 2020
Citations: 33



A Hybrid Quantum Feature Selection Algorithm using a Quantum Inspired Graph Theoretic Approach
S Chakraborty, S Hossian Shaikh, A Chakrabarti, R Ghosh
Applied Intelligence 50 (6), 1775–1793 2020
Citations: 32



Feature Extraction and Classification in Brain-Computer Interfacing: Future Research Issues and Challenges
D Das Chakladar, S Chakraborty
Natural Computing for Unsupervised Learning, 101-131 2019
Citations: 22



Convex-hull & DBSCAN clustering to predict future weather
R Dey, S Chakraborty
6th International IEEE Conference and Workshop on Computing and 2015
Citations: 20



Performance Evaluation of Incremental K-means Clustering Algorithm
S Chakraborty, NK Nagwani
IFRSA International Journal of Data Warehousing & Mining 1 (1), 54-59 2011
Citations: 20



Multi-target way of cursor movement in brain computer interface using unsupervised learning
D Das Chakladar, S Chakraborty
Cognitive Systems Research(Biologically Inspired Cognitive Architectures) 25 2018
Citations: 19



An approach of feature selection using graph-theoretic heuristic and hill climbing
S Goswami, AK Das, P Guha, A Tarafdar, S Chakraborty, A Chakrabarti, ...
Pattern Analysis and Applications 22 (2), 615–631 2019
Citations: 18



Filter Based Feature Selection Methods using Hill Climbing Approach
S Goswami, S Chakraborty, P Guha, A Tarafdar, A Kedia
Natural Computing for Unsupervised Learning, 213-234 2019
Citations: 16



Canonical PSO Based K-Means Clustering Approach for Real Datasets
L Dey, S Chakraborty
International Scholarly Research Notices, Hindawi 2014 2014
Citations: 14



Data Classification and Incremental Clustering in Data Mining and Machine Learning
S Chakraborty, S Hafizul Islam, D Samanta
Springer Cham (ISBN:978-3-030-93087-5) Authored Book 3, XXI, 196 2022
Citations: 12



An AI-Based Medical Chatbot Model for Infectious Disease Prediction
S Chakraborty, H Pal, S Ghatak, SK Pandey, A Kumar, KU Singh, ...
IEEE Access 10 (10.1109/ACCESS.2022.3227208) 2022
Citations: 11

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

To be a part of the Research & Development wing in the field of Machine Learning and Quantum Computing. I would like to take up a challenging role in active institute-industrial research activities, which will fulfill my longing to relentless learning. My priority is to make significant contributions towards the innovation and research activity of the organization. I belong to through a continuous process of application of mind and acquired expertise. I am really interested and enthusiastic about quantum machine learning and quantum image processing and its applications in academics as well as industry.