Sayan Chakraborty

Scopus Publications

Game-Theory Approach Using Blockchain to Enhance Trust in Decentralized Finance Systems
Krrish Dubey, Priyanka Mukherjee, Sayan Chakraborty, Sitanath Biswas, Shubhashree Sahoo, Nabanita Das
Lecture Notes in Networks and Systems, 2026
Integrating Rigid and Non-rigid Registration Techniques in Web 6.0 Interfaces
Milind Kundu, Debayudh Bhattacharya, Shubhashree Sahoo, Sitanath Biswas, Bitan Misra, Sayan Chakraborty
Lecture Notes in Networks and Systems, 2026
The role of generative AI in medical image synthesis: A review
Ajay Karmakar, Abhijeet Shaw, Saswati Rakshit, Sayan Chakraborty, Sitanath Biswas, Shubhashree Sahoo, Suparna Biswas
Discover Applied Sciences, 2025
Medical imaging is transformed with Generative artificial intelligence (AI) that offers robust tools for image synthesis, data augmentation and enhancement of image quality. Generative Adversarial Networks (GANs) have established themselves among the various generative models as particularly robust in synthesizing realistic medical images near real-world clinical data. This review discusses the growing importance of generative AI in synthesizing medical images, its use in applications like radiology, pathology and other medical disciplines. We present the overview of some of the significant generative models, e.g., Variational Autoencoders (VAEs) and Diffusion Models and their advantages, disadvantages and prospects. We also present the challenges that accompany such models like interpretability, transferability to other medical disciplines and the ethics of applying synthetic data to real-world clinical practice. Further, the review presents recent developments in hybrid AI approaches that combine AI and physics-based models along with multimodal learning in an attempt to enhance the trustworthiness and accuracy of generative methods. Finally, we look forward to future research directions like federated learning and explainable AI (XAI) that will enable the safe and successful application of generative AI in medicine. XAI methods—such as visual attribution (e.g., Grad-CAM, SHAP), latent space interpretability in VAEs, and external symbolic explanation frameworks—are particularly important in improving trust and understanding in clinical applications [Huff et al., 2021; Bhati et al., 2024]. The aim of this paper is to facilitate researchers and practitioners to showcase the full potential of generative AI for medical imaging by presenting a comprehensive review of existing techniques and emerging trends.
Integrating k-Means++ with ARCANE: A Scalable Framework for Exact Cluster Unlearning
Shrutika Gupta, Annesha Naskar, Bitan Misra, Hemanth K S, Sayan Chakraborty, Aparna Shrikant Kulkarni
Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks Icrcicn, 2025
To address the demand for exact data removal in unsupervised clustering, a novel framework for exact machine unlearning is proposed that integrates the K-Means++ algorithm with ARCANE. This framework combines high-quality cluster initialization with targeted partitioning, allowing a more efficient method for removing data without the need for a naive retraining of the model. The proposed model is compared to a SISA-based approach against synthetic and Iris datasets. The ARCANE K-Means++ model demonstrated superior clustering quality, achieving a Silhouette Score of 0.841 to the baseline’s performance of 0.263. ARCANE framework also demonstrated better speedup and predictable unlearning times for typical deletion requests than the SISA model. This is a strong, scalable, and provably-exact method for machine unlearning, providing a new and intuitive framework for developing privacy-preserving AI.
Employing Explainable Artificial Intelligence (XAI) for Enhanced Water Quality Assessment
Rahul Maurya, Swapnajit Saha, Bitan Misra, Debraj Chatterjee, Sayan Chakraborty, Pratima Sarkar
International Conference on Computing Intelligence and Application Ciacon 2025, 2025
Maintaining the purity and quality of water is crucial for the well-being of numerous living organisms, as water consumption directly impacts physical health. Unfortunately, Earth is experiencing a concerning decline in water quality, resulting in a plethora of diseases and health deficiencies among individuals. One of the main challenges in water quality management is the presence of Total Dissolved Solids (TDS) & various other substances including potassium, sodium, chlorides, lead, nitrate, cadmium, arsenic, and other pollutants, further underscoring the need for comprehensive measurement, control, and monitoring of water quality. This disregard for the fundamental necessity of high-quality water has reached a critical juncture, necessitating global attention. Consequently, efforts are underway to raise awareness and conduct research aimed at making safe drinking water accessible to all. Explainable Artificial Intelligence (XAI) offers a solution by clarifying how machine learning models reach decisions, highlighting the necessity for transparent and comprehensible models to gain trust and support from stakeholders. Three popular machine learning models k-nearest neighbour (KNN), Random Forest and Extreme Gradient Boosting (XGBoost) are utilized for data classification, followed by the application of SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) techniques to identify key characteristics and variables impacting water quality predictions. These insights can enhance decision-making and facilitate the development of effective strategies for managing and reducing water pollution.
Machine Learning for Sustainable Agriculture: An Integrated Strategy for Identifying Crop Pests and Diseases Effectively
Rittika Sarkar, Dhritideep Saha, Saswati Rakshit, Sitanath Biswas, Sayan Chakraborty, Arun Kumar Sadhu
Learning and Analytics in Intelligent Systems, 2025
Understanding the Role of Working Style in Shaping Work-Life Balance: An XAI-Based Investigation of Private Sector Employees
Abhirup Bhattacharya, Bitan Misra, Soumi Majumder, Sayan Chakraborty, Nilanjan Dey
Frontiers in Artificial Intelligence and Applications, 2024
The ability to fulfil one’s responsibilities both at the workplace and at home while still finding time for interest and hobbies on a personal level is known as work-life balance. There is a need to implement intelligent technologies for shaping work-life balance, as physical, mental, and emotional well-being can all be enhanced by striking a better work-life balance. The need for more transparent and understandable models is growing along with our reliance on intelligent technologies. Furthermore, the current gold standard for establishing credibility and using AI in vital fields is the capacity to explain the model in general. This research seeks to employ XAI to comprehend, illustrate, and elucidate the findings derived from utilizing several machine learning models to determine the primary factors impacting the work-life balance of individuals in the private sector. The support vector machines (SVMs), random forests, and tree-based classifiers from XGBoost were trained and tested on a work-life balance dataset collected from private sector employees. Among all the models, the SVM provides the highest accuracy values for all the features of the feature set compared to the other two algorithms. The attribute importance for the best feature (working style) of the SVM model is explained using the feature importance plot, summary plot, and heatmap from the explainable artificial intelligence models SHAP and LIME. This comprehension makes it easier for decision makers and human resources (HR) practitioners to comprehend the model’s predictions and to implement initiatives that support each employee’s demand for a healthy balance between work and personal life.
Artificial bee colony-based nonrigid demons registration
Abhisek Roy, Pranab Kanti Roy, Anirban Mitra, Swarnali Daw, Sraddha Roy Choudhury, Sayan Chakraborty, Bitan Misra
International Journal of Electrical and Computer Engineering, 2024
The artificial bee colony (ABC) algorithm has gained popularity in recent years for its ability to solve optimization problems. The accuracy and resilience of ABC-based image processing techniques have demonstrated encouraging outcomes. The ABC method is an excellent solution for image processing issues since it has the ability to swiftly and effectively explore the search space. The current research intends to address image registration issues by refining the existing image registration strategy using ABC algorithm. The process of nonrigid demons registration is frequently employed in the processing of medical images. The combination of these two techniques is referred to as the ABC-based nonrigid demons registration method. The proposed method has shown superior performance in registration accuracy and efficiency compared to other existing methods. Applications in medical image analysis and computer-assisted diagnosis are highly promising for the ABC-based nonrigid demons registration. Particle swarm optimization (PSO) and frameworks based on genetic algorithms (GA) have been compared with the suggested framework. The observed results showed improved accuracy and faster convergence in ABC-based demons registration.
Smart medical imaging for diagnosis and treatment planning
Nilanjan Dey, Bitan Misra, Sayan Chakraborty
Smart Medical Imaging for Diagnosis and Treatment Planning, 2024
Enhancing intelligent medical imaging to revolutionize healthcare
Sayan Chakraborty, Bitan Misra, Muhammad Firoz Mridha
Smart Medical Imaging for Diagnosis and Treatment Planning, 2024
Artificial intelligence (AI) in medical imaging and the recent developments in smart healthcare have shown remarkable progress in the field of medicine by automatically identifying different objects from picture data. There are many different types of medical imaging, and new techniques are being developed as technology advances. The four primary categories of medical imaging modalities that are frequently employed in healthcare settings are radiation emission, X-ray transmission, acoustic or light reflection, and magnetic resonance. Medical imaging is essential for proper diagnosis, which is the first step in determining the best course of treatment for a patient. Because different procedures measure different physical properties that depend on the composition of different tissues, multiple physical approaches and imaging tools are needed. The current chapter explores different kinds of medical imaging and the ways in which they can be used to transform healthcare. The emerging trends in smart medical imaging and their possible effects on healthcare are also covered in this chapter.
Explainable Artificial Intelligence (XAI) for Air Quality Assessment
Sayan Chakraborty, Bitan Misra, Nilanjan Dey
Frontiers in Artificial Intelligence and Applications, 2024
Effect of Euler’s Number on Signature Verification System
Maumita Mukhopadhyay, Sayan Chakraborty
Lecture Notes in Networks and Systems, 2024
AI-Empowered Knowledge Management in Education
Sayan Chakraborty, Bitan Misra, Nilanjan Dey
Springerbriefs in Applied Sciences and Technology, 2024
IoMT Applications in Healthcare 5.0
Iomt Applications in Healthcare 5 0, 2024
Responsible AI Adoption in Healthcare: Opportunities and Challenges
Sayan Chakraborty, Triptanjana Sarangi, Sayak Ghosh, Bitan Misra, Nilanjan Dey
10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Whale optimization algorithm based rigid and non-rigid registration
Abhisek Roy, Pranab Kanti Roy, Anirban Mitra, Sraddha Roy Choudhury, Sayan Chakraborty
Edelweiss Applied Science and Technology, 2024
Performance Optimization of Image Registration Frameworks
Abhisek Roy, Pranab Kanti Roy, Anirban Mitra, Sayan Chakraborty, Pronaya Bhattacharya
2024 MIT Art Design and Technology School of Computing International Conference Mitadtsocicon 2024, 2024
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, Poushali Choudhury
Journal of Environmental Management, 2023
AI Sovereignty in Autonomous Driving: Exploring Needs and Possibilities for Overcoming Challenges
Koesha Sinha, Bitan Misra, Sayan Chakraborty, Nilanjan Dey
Conference Proceedings 2023 IEEE Silchar Subsection Conference Silcon 2023, 2023
Explainable AI for Predictive Analytics on Employee Promotion
Abhirup Bhattacharya, Pradyumn Choudhary, Sandipan Mukhopadhyay, Bitan Misra, Sayan Chakraborty, Nilanjan Dey
Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications Icacta 2023, 2023
Explainable AI for Predictive Analytics on Employee Attrition
Sandip Das, Sayan Chakraborty, Gairik Sajjan, Soumi Majumder, Nilanjan Dey, João Manuel R. S. Tavares
Communications in Computer and Information Science, 2023
Interplay between eclipses and soft cosmic rays
Proceedings of Science, 2022
Effect of optimization framework on rigid and non-rigid multimodal image registration
Sayan Chakraborty, Ratika Pradhan, Nilanjan Dey, Rubén González Crespo, João Manuel R.S. Tavares
Scienceasia, 2022
Fundamentals, present and future perspectives of speech enhancement
Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey
International Journal of Speech Technology, 2021
Grey-wolf-based Wang's demons for retinal image registration
Sayan Chakraborty, Ratika Pradhan, Amira S. Ashour, Luminita Moraru, Nilanjan Dey
Entropy, 2020
Optimized tang's algorithm for retinal image registration
Sayan Chakraborty, Ratika Pradhan, N. Dey, A. Ashour
Frontiers in Artificial Intelligence and Applications, 2020
Stability study of gain and energy resolution for GEM detector
S. Roy, S. Rudra, S. Shaw, S. Chatterjee, S. Chakraborty, R.P. Adak, S. Biswas, S. Das, S.K. Ghosh, S.K. Prasad, S. Raha
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2019
Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm
Sayan Chakraborty, Nilanjan Dey, Sourav Samanta, Amira S. Ashour, C. Barna, M. M. Balas
Cognitive Computation, 2017
Comparative approach between singular value decomposition and randomized singular value decomposition-based watermarking
Sayan Chakraborty, Souvik Chatterjee, Nilanjan Dey, Amira S. Ashour, Aboul Ella Hassanien
Studies in Computational Intelligence, 2017
Watermarking in biomedical signal processing
Nilanjan Dey, Amira S. Ashour, Sayan Chakraborty, Sukanya Banerjee, Evgeniya Gospodinova, Mitko Gospodinov, Aboul Ella Hassanien
Studies in Computational Intelligence, 2017
Content-based image retrieval techniques
Wahiba Ben Abdessalem Karaa, Nilanjan Dey
Mining Multimedia Documents, 2017
Dengue fever classification using gene expression data: A PSO based artificial neural network approach
Sankhadeep Chatterjee, Sirshendu Hore, Nilanjan Dey, Sayan Chakraborty, Amira S. Ashour
Advances in Intelligent Systems and Computing, 2017
Propagation analysis of MIMO ad hoc network in hybrid propagation model and implement less propagation loss algorithm to find the minimum loss route
Swati Chowdhuri, Sayan Chakraborty, Nilanjan Dey, Sheli Sinha Chaudhuri, Pranab Banerjee
International Journal of Information and Communication Technology, 2017
Effect of trigonometric functions-based watermarking on blood vessel extraction: An application in ophthalmology imaging
Nilanjan Dey, Sk. Saddam Ahmed, Sayan Chakraborty, Prasenjit Maji, Achintya Das, Sheli Sinha Chaudhuri
International Journal of Embedded Systems, 2017
Detection of exudates in diabetic retinopathy: A review
Syeda Erfana Zohora, Sayan Chakraborty, A.M. Khan, Nilanjan Dey
International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
Glaucomatous image classification: A review
Syeda Erfana Zohora, Sayan Chakraborty, A.M. Khan, Nilanjan Dey
International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
Image registration techniques and frameworks: A review
Sayan Chakraborty, Prasenjit Kumar Patra, Prasenjit Maji, Amira S. Ashour, Nilanjan Dey
Applied Video Processing in Surveillance and Monitoring Systems, 2016
Firefly algorithm for optimized nonrigid demons registration
S. Chakraborty, N. Dey, S. Samanta, A.S. Ashour, V.E. Balas
Bio Inspired Computation and Applications in Image Processing, 2016
Image segmentation using rough set theory: A review
Payel Roy, Srijan Goswami, Sayan Chakraborty, Ahmad Taher Azar, Nilanjan Dey
Medical Imaging Concepts Methodologies Tools and Applications, 2016
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm
Luca Saba, Nilanjan Dey, Amira S. Ashour, Sourav Samanta, Siddhartha Sankar Nath, Sayan Chakraborty, João Sanches, Dinesh Kumar, RuiTato Marinho, Jasjit S. Suri
Computer Methods and Programs in Biomedicine, 2016
Healthy and unhealthy rat hippocampus cells classification: A neural based automated system for Alzheimer disease classification
Nilanjan Dey, Amira S. Ashour, Sayan Chakraborty, Sourav Samanta, Dimitra Sifaki-Pistolla, Ahmed S. Ashour, Dac-Nhuong Le, Gia Nhu Nguyen
Journal of Advanced Microscopy Research, 2016
Wooden Surface Classification based on Haralick and the Neural Networks
Sourav Samanta, Debolina Kundu, Sayan Chakraborty, Nillanjan Dey, Tarek Gaber, Aboul Ella Hassanien, Tai-Hoon Kim
Proceedings 2015 4th International Conference on Information Science and Industrial Applications Isi 2015, 2016
Measurement of glomerulus diameter and Bowman's space width of renal albino rats
Taras Kotyk, Nilanjan Dey, Amira S. Ashour, Dana Balas-Timar, Sayan Chakraborty, Ahmed S. Ashour, João Manuel R.S. Tavares
Computer Methods and Programs in Biomedicine, 2016
Semi-automated system for cup to disc measurement for diagnosing glaucoma using classification paradigm
Taras Kotyk, Sayan Chakraborty, Nilanjan Dey, Tarek Gaber, Aboul Ella Hassanien, Vaclav Snasel
Advances in Intelligent Systems and Computing, 2016
Advent of information technology in the world of tourism
Vishak Ramesh Iyer, Nilanjan Dey, Sayan Chakraborty
Emerging Innovative Marketing Strategies in the Tourism Industry, 2015
Film induced tourism: Hunting of potential tourist spots by frame mosaicing
Nilanjan Dey, Suvojit Acharjee, Sayan Chakraborty
New Business Opportunities in the Growing E Tourism Industry, 2015
Analysis of performance of MIMO Ad hoc Network in terms of information efficiency
Swati Chowdhuri, Nilanjan Dey, Sayan Chakraborty, P. K. Baneerjee
Advances in Intelligent Systems and Computing, 2015
Study of wireless communication through coal using dielectric constant
Aindrila Bhattacherjee, Sourav Roy, Sayan Chakraborty, Amartya Mukherjee, Soumya Kanti Bhattacharya
Advances in Intelligent Systems and Computing, 2015
Video shot boundary detection: A review
Gautam Pal, Dwijen Rudrapaul, Suvojit Acharjee, Ruben Ray, Sayan Chakraborty, Nilanjan Dey
Advances in Intelligent Systems and Computing, 2015
Effect of euler number as a feature in gender recognition system from offline handwritten signature using neural networks
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound
Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
Computer Methods and Programs in Biomedicine, 2015
Watermarking in motion vector for security enhancement of medical videos
Suvojit Acharjee, Ruben Ray, Sayan Chakraborty, Siddhartha Nath, Nilanjan Dey
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
A survey of image classification methods and techniques
Siddhartha Sankar Nath, Girish Mishra, Jajnyaseni Kar, Sayan Chakraborty, Nilanjan Dey
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
Effects of rigid, affine, b-splines and demons registration on video content: A review
Sayan Chakraborty, Nilanjan Dey, Siddhartha Nath, Suman Roy, Suvojit Acharjee
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
1-D group cellular automata based image encryption technique
Subrata Nandi, Satyabrata Roy, Siddhartha Nath, Sayan Chakraborty, Wahiba Ben Abdessalem Karaa, Nilanjan Dey
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
Effect of demons registration on biomedical content watermarking
Shatadru Roy Chowdhury, Ruben Ray, Nilanjan Dey, Sayan Chakraborty, Wahiba Ben Abdessalem Karaa, Siddhartha Nath
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
Adaptive thresholding: A comparative study
Payel Roy, Saurab Dutta, Nilanjan Dey, Goutami Dey, Sayan Chakraborty, Ruben Ray
2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
Reversible color image watermarking using trigonometric functions
Sayan Chakraborty, Prasenjit Maji, Arijit Kumar Pal, Debalina Biswas, Nilanjan Dey
Proceedings International Conference on Electronic Systems Signal Processing and Computing Technologies Icesc 2014, 2014
Electrocardiogram feature based inter-human biometric authentication system
Monalisa Dey, Nilanjan Dey, Sainik Kumar Mahata, Sayan Chakraborty, Suvojit Acharjee, Achintya Das
Proceedings International Conference on Electronic Systems Signal Processing and Computing Technologies Icesc 2014, 2014
Multi-thread video watermarking: A biomedical application
Soumyo Bose, Shatadru Roy Chowdhury, Chandreyee Sen, Sayan Chakraborty, Taiar Redha, Nilanjan Dey
Proceedings of International Conference on Circuits Communication Control and Computing I4c 2014, 2014
Unmanned aerial system for post disaster identification
Amartya Mukherjee, Sayan Chakraborty, Ahmad Taher Azar, Soumya Kanti Bhattacharyay, Basukinath Chatterjee, Nilanjan Dey
Proceedings of International Conference on Circuits Communication Control and Computing I4c 2014, 2014
Implementation of a new packet broadcasting algorithm for MIMO equipped Mobile ad-hoc network
Swati Chowdhuri, Sumit Kumar Das, Payel Roy, Sayan Chakraborty, Mrinmoy Maji, Nilanjan Dey
Proceedings of International Conference on Circuits Communication Control and Computing I4c 2014, 2014
Rigid image registration using parallel processing
Sayan Chakraborty, Supratim Ghosh, Souvik Chatterjee, Swati Chowdhuri, Ruben Ray, Nilanjan Dey
Proceedings of International Conference on Circuits Communication Control and Computing I4c 2014, 2014
Motion vector estimation using parallel processing
Suvojit Acharjee, Gautam Pal, Taiar Redha, Sayan Chakraborty, Sheli Sinha Chaudhuri, Nilanjan Dey
Proceedings of International Conference on Circuits Communication Control and Computing I4c 2014, 2014
A semi-automated system for optic nerve head segmentation in digital retinal images
Sayan Chakraborty, Aniruddha Mukherjee, Debmalya Chatterjee, Prasenjit Maji, Suvojit Acharjee, Nilanjan Dey
Proceedings 2014 13th International Conference on Information Technology Icit 2014, 2014
Firefly algorithm for optimization of scaling factors during embedding of manifold medical information: An application in ophthalmology imaging
Nilanjan Dey, Sourav Samanta, Sayan Chakraborty, Achintya Das, Sheli Sinha Chaudhuri, Jasjit S. Suri
Journal of Medical Imaging and Health Informatics, 2014
Highly secured multilayered motion vector watermarking
Suvojit Acharjee, Sayan Chakraborty, Sourav Samanta, Ahmad Taher Azar, Aboul Ella Hassanien, Nilanjan Dey
Communications in Computer and Information Science, 2014
Particle Swarm Optimization based parameter optimization technique in medical information hiding
Sayan Chakraborty, Sourav Samanta, Debalina Biswas, Nilanjan Dey, Sheli Sinha Chaudhuri
2013 IEEE International Conference on Computational Intelligence and Computing Research IEEE Iccic 2013, 2013
Solving 0/1 knapsack problem using ant weight lifting algorithm
Sourav Samanta, Sayan Chakraborty, Suvojit Acharjee, Aniruddha Mukherjee, Nilanjan Dey
2013 IEEE International Conference on Computational Intelligence and Computing Research IEEE Iccic 2013, 2013
Parallel image segmentation using multi-threading and k-means algorithm
Soumyo Bose, Aniruddha Mukherjee, Madhulika, Sayan Chakraborty, Sourav Samanta, Nilanjan Dey
2013 IEEE International Conference on Computational Intelligence and Computing Research IEEE Iccic 2013, 2013

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