Faculty Contributions Computer Science and Engineering

Research and Development Publications (Year 2025-26) Journal Publications

• S. S. Thakur, S. Bandyopadhyay, M. Thakur, A. Laha, A. Singh, A. K. Singh, S. S. Singh, and S. Mishra, “EDNN-PCXR: Enhanced pediatric chest X-ray classification using fine-tuned deep neural networks,” International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, no. 3, pp. 563–577, Jul. 2025. doi: 10.61467/2007.1558. 2025.v16i3.871.
• D. De, M. N. Pal, and D. Hazra, “QROP: Quantum learning-based identification of retinopathy of prematurity,” IET Quantum Communication, vol. 6, no. 1, Aug. 2025, Art. no. e70008. doi: 10.1049/qtc2.70008.
• M. N. Pal and D. De, “FedQCNN: A privacy-preserving federated quantum convolutional neural network for retinal image classification,” IET Quantum Communication, vol. 6, no. 1, Sep. 2025, Art. no. e70010. doi: 10.1049/qtc2.70010.
• A. Bose, P. Sarkar, P.Jana “Quantifying cloud cost efficiency in federated learning: An empirical comparison with centralized training,” Advances in Artificial Intelligence and Machine Learning, 2026. doi: 10.54364/AAIML.2026.61270.

Conference Publications

• M. Dhar, M. Sen, B. Chakraborty, S. Sen, M. K. Dholey, S. Dey, and S. Bhattacherjee, “Image captioning using VGG-16 and VGG-19: A mixed model approach,” in Proc. Int. Conf. Smart Systems and Wireless Communication, Singapore, 2024, pp. 201–213. doi: 10.1007/978-981-96-1348-9_16.
• M. Goswami, S. Bhattacharjee, S. Changder, and S. Sen, “Machine learning-based approaches for NPK prediction and model validation in agricultural applications,” in Proc. Nat. Conf. Control Instrumentation System Conf., Singapore, 2023, pp. 403–415.
• M. Basak and D. Maiti, “Impact of bio-inspired optimization techniques on EEG signal classification for psychiatric disorder diagnosis,” in Proc. 2025 Int. Conf. Computing, Intelligence, and Application (CIACON), 2025, pp. 1–8.
• A. Bose, P. Sarkar, and P. Jana, “From beliefs to funding: A game theoretic framework for designing effective crowdfunding interfaces,” presented at the 19th ISDSI Global Conf., Dec. 26–29, 2025.

Book Chapter Publications

• S. S. Thakur, S. Bandyopadhyay, M. Thakur, A. Singh, A. K. Singh, S. S. Singh, and S. Mishra, “Exploring diabetes indicators utilizing advanced machine learning algorithms for improved diagnosis,” in Decision-Making in Computational Intelligence-Based Systems: New Approaches, Methods, and Applications, Cham, Switzerland: Springer Nature, 2025, pp. 373–391. doi: 10.1007/978-3-032-04056-5_15.
• S. S. Thakur, M. Thakur, S. Thakur, and S. Bandyopadhyay, “Safeguarding crop quality: IoT-enabled pest classification via convolution neural network and transfer learning,” in IoT Security, Academic Press, 2026, pp. 219–242. doi: 10.1016/B978-0-443-34125-0.00004-0.

Publications (Year 2024-25) Journal Publications

• A. Bose, P. Sarkar, and P. Jana, “Data biasing removal with blockchain and crowd annotation,” Procedia Computer Science, vol. 233, pp. 692–702, 2024. doi: 10.1016/j.procs.2024.03.258.
• D. De, M. N. Pal, and D. Hazra, “FQPDR: Federated quantum neural network for privacy-preserving early detection of diabetic retinopathy,” Evolutionary Intelligence, vol. 17, no. 5, pp. 4047–4068, 2024. doi: 10.1007/s12065-024-00971-2.
• S. Saha, S. Chatterjee, S. Sen, D. Oliva, M. Perez-Cisneros, and R. Dundu, “Contrast enhancement of digital images using dragonfly algorithm,” Automatika, 2024. doi: 10.1080/00051144.2024.2404365.
• P. Das, D. Datta, S. S. Rajest, L. M. M. Visuwasam, A. Thakare, and J. Cypto, “Application of multi-criteria decision-making approach using TOPSIS to identify the vulnerable time zone of earthquake time series signal,” International Journal of Critical Computer-Based Systems, vol. 11, no. 1–2, pp. 30–47, 2024. doi: 10.1504/IJCCBS.2024.139099.

Book Chapter Publications

• S. S. Thakur, S. Bandyopadhyay, S. K. Bera, and M. Thakur, “Improving home loan predictions: A fusion of PCA, decision tree and random forest approaches,” in Artificial Intelligence in Prescriptive Analytics: Innovations in Decision Analysis, Intelligent Optimization, and Data-Driven Decisions, Cham, Switzerland: Springer Nature, 2024, pp. 375–404. doi: 10.1007/978-3-031-66731-2_15.
• S. Bandyopadhyay, S. S. Thakur, and J. K. Mandal, “Classification of Bloom’s taxonomy-based university examination questions: A recurrent neural network and natural language processing approach,” in Proc. Int. Conf. Advanced Computing and Applications, Singapore: Springer Nature, 2024, pp. 369–381. doi: 10.1007/978-981-97-4799-3_28.
• A. Ray, S. K. Dutta, S. Dey, T. Roy, P. Mukherjee, S. Bandyopadhyay, and S. S. Thakur, “Sentiment analysis of Amazon product reviews: A comprehensive evaluation using naïve Bayes classifiers,” in Proc. Int. Conf. Computing and Machine Learning, Singapore: Springer Nature, 2024, pp. 347–358. doi: 10.1007/978-981-97-7571-2_27.
• M. Dhar, M. Sen, B. Chakraborty, S. Sen, M. K. Dholey, S. Dey, and S. Bhattacherjee, “Image captioning using VGG-16 and VGG-19: A mixed model approach,” in Proc. Int. Conf. Smart Systems and Wireless Communication, Singapore: Springer Nature, 2024, pp. 201–213. doi: 10.1007/978-981-96-1348-9_16.

Publications (Year 2023-24) Journal Publications

• S. S. Thakur, S. Bandyopadhyay, and D. Datta, “The metaverse as a virtual form of smart cities: Opportunities and challenges,” International Journal of Computer Applications, vol. 185, no. 17, pp. 45–53, Jun. 2023.
• S. S. Choudhury, P. B. Pandharbale, S. N. Mohanty, and A. K. Jagdev, “An acquisition based optimised crop recommendation system with machine learning algorithm,” EAI Endorsed Transactions on Scalable Information Systems, vol. 11, no. 1, 2024.
• A. Bose, P. Sarkar, and P. Jana, “Data biasing removal with blockchain and crowd annotation,” Procedia Computer Science, vol. 233, pp. 692–702, 2024.

Conference Publications

• R. Ghoshhajra, K. Biswas, M. Sultana, and A. Sarkar, “Ensemble learning strategy in modeling of future generation nanoscale devices using machine learning,” in Proc. 2023 IEEE Devices for Integrated Circuit (DevIC), 2023, pp. 546–550.

Book Chapter Publications

• R. Ghoshhajra, K. Biswas, M. Sultana, and A. Sarkar, “Ensemble learning strategy in modeling of future generation nanoscale devices using machine learning,” in Proc. 2023 IEEE Devices for Integrated Circuit (DevIC), 2023, pp. 546–550. doi: 10.1109/DevIC57758.2023.10134917.
• S. S. Thakur, S. Bandyopadhyay, and D. Datta, “Artificial intelligence and the metaverse: Present and future aspects,” in The Future of Metaverse in the Virtual Era and Physical World, Cham, Switzerland: Springer International Publishing, 2023, pp. 169–184.
• M. N. Pal, D. Sengupta, T. A. Tran, and D. De, “Machine learning-based sustainable dew computing: Classical to quantum,” in Dew Computing: The Sustainable IoT Perspectives, Singapore: Springer Nature, 2023, pp. 149–177. doi: 10.1007/978-981-99-4590-0_8.

Publications (Year 2022-23) Journal Publications

• R. Ghoshhajra, K. Biswas, and A. Sarkar, “Device performance prediction of nanoscale junctionless FinFET using MISO artificial neural network,” Silicon, early access, Jan. 7, 2022.
• S. Bandyopadhyay, S. S. Thakur, and J. K. Mandal, “Emotion detection for online recommender system using deep learning: A proposed method,” Innovations in Systems and Software Engineering, May 17, 2022.

Conference Publications

• A. Bose and P. Sarkar, “Futuristic cloud market game theoretic equilibrium,” in Proc. Int. Conf. Industrial Instrumentation and Control, Lecture Notes in Electrical Engineering, vol. 815, Singapore: Springer, 2022.
• M. S. Chowdhary, J. J. R. Paga, S. S. Choudhury, S. Mohanty, and M. Gandhi, “InteliCrop: An ensemble model to predict crop using machine learning algorithms,” in Proc. IEEE Int. Conf. Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, Jan. 2022.

Book Chapter Publications

• K. Biswas, R. Ghoshhajra, and A. Sarkar, “High electron mobility transistor: Physics-based TCAD simulation and performance analysis,” in HEMT Technology and Applications, Singapore: Springer, 2022, pp. 155–179. doi: 10.1007/978-981-19-2165-0.
• M. N. Pal, M. Banerjee, and S. Roy, “Deep learning supported evaluation of retinal vessel enhancement techniques,” in Advances in Data Science and Computing Technology: Methodology and Applications, Apple Academic Press (CRC Press, Taylor & Francis Group), 2022.
• S. Roy and M. N. Pal, “An efficient and optimized deep neural network architecture for handwritten digit recognition,” in Advances in Data Science and Computing Technology: Methodology and Applications, Apple Academic Press (CRC Press, Taylor & Francis Group), 2022.
• M. N. Pal and M. Banerjee, “Retinal vessel enhancement evaluation on DRIVE dataset from CNN performance,” in Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions, Nova Science Publishers, USA, 2022.

Publications (Year 2021-22) Journal Publications

• M. N. Pal, S. Roy, and M. Banerjee, “Content-based retrieval of retinal OCT scans using twin CNN,” Sādhanā, vol. 46, Art. no. 174, Aug. 2021, Springer, SCIE.
• M. N. Pal, M. Banerjee, and A. Sarkar, “Retrieval of exudate-affected retinal image patches using Siamese quantum classical neural network,” IET Quantum Communication, IET Digital Library, Wiley, Nov. 2021.
• M. N. Pal, A. Sarkar, A. Gupta, and M. Banerjee, “Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Taylor and Francis, ESCI, Nov. 2021.
• P. K. Naskar, S. Bhattacharyya, K. C. Mahatab, K. G. Dhal, and A. Chaudhuri, “An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding,” Nonlinear Dynamics, vol. 105, pp. 3673–3698, Springer Nature. B.V (IF: 5.022, SCI, SCIE. SCOPUS), 2021. doi: 10.1007/s11071-021-06761-0.
• R. Pal, H. Begum, S. Mukhopadhyay, S. Sarkar, D. Chakraborty, S. Majumdar, and D. Sengupta, “Edge directed radial basis function-based interpolation towards PCA-based PAN-sharpening,” International Journal of Remote Sensing, vol. 42, no. 23, pp. 9048–9068, 2021. doi: 10.1080/01431161.2021.1981560.
• A. Bose, P. Sarkar, and P. Jana, “Crowd funding—A game theoretic model in designing UI for successful campaign,” Empirical Economics Letters, Apr. 2022.

Conference Publications

• S. Bandyopadhyay, S. S. Thakur, and J. K. Mandal, “Online recommendation system using human facial expression-based emotion detection: A proposed method,” in Proc. Int. Conf. Advanced Computing Applications, Advances in Intelligent Systems and Computing, vol. 1406, Singapore: Springer, 2022. doi: 10.1007/978-981-16-5207-3_38.
• Avijit Bose, Pradyut Sarkar, Premananda Jana “Futuristic Cloud Market – Game Theoretic Equilibrium” ici2c 2021 Kolkata 20-22nd August 2021.
• A. Bose, P. Sarkar, and P. Jana, “Crowd funding—A game theoretic approach in designing AI for successful design,” presented at the Int. Conf. Contemporary Issues & Challenges in Management & Economics, UEM Jaipur, Rajasthan, India, Apr. 1–2, 2022.

Book Chapter Publications

• S. Roy, M. N. Pal, S. Lahiri, and N. C. Pal, “Content-based retrieval of COVID-19 affected chest X-rays with Siamese CNN,” in Advances in Data Science and Intelligent Data Communication Technologies for COVID-19, Studies in Systems, Decision and Control, vol. 378, Cham, Switzerland: Springer, 2021.
• M. N. Pal, M. Banerjee, and A. Sarkar, “A shallow neural net for retinal OCT image classification,” in Proc. Int. Conf. Advanced Computing Applications, Advances in Intelligent Systems and Computing, vol. 1406, Singapore: Springer, 2021.
• A. Bose, P. Sarkar, and P. Jana, “Futuristic cloud market—Game theoretic equilibrium,” in Proc. Int. Conf. Industrial Instrumentation and Control, Lecture Notes in Electrical Engineering, vol. 815, Singapore: Springer, 2022, https://doi.org/10.1007/978-981-16-7011-4_44

Intellectual Property Rights

• Title of the Patent: Fan-Less Box Computer
  Inventor(s): Dr. Sultan Ahmad, Dr. Subro Santiranjan Thakur, Priti Ashok Jain, Dr. Chiranjib Chakravartty, Monojit Manna, Dr. Ujjal Sur, Dr. Soma Bandyopadhyay, Dr. Utpal Nandi, Sudan Jha, and Dr.Santanu Koley
  Patent Number: 6402762
  Application Number: 6402762
  Filing Date: 06/11/2024
  Grant/Publication Date: 20/11/2024
  Patent Office/Country: UK
  Status: Granted
• Title of the Patent: A SYSTEM AND METHOD FOR DYNAMIC BEAM FORMING IN NEXT-GENERATION 5G AND BEYOND WIRELESS NETWORKS
  Inventor(s): Dr. Santanu Koley, Dr. Subro Santiranjan Thakur, Dr. Shantanu Dutta, Dr. Soma Bandyopadhyay, Dr. Somnath Patra, Dr. Venkata Raghavendra Miriampally, Priti Ashok Jain, Dr. Kousik Roy, Dr. Nilanjan Mukhopsadhyay
  Patent Number: 35/2024
  Application Number: 202431063260
  Filing Date: 21/08/2024
  Grant/Publication Date: 30/08/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: PROTOTYPE OF DETACHABLE SMART HELMET USING CPS (CYBER PHYSICAL SYSTEM) FOR ACCIDENTAL IMPACT SEVERITY DETECTION AND GEOGRAPHIC LOCATION TRACKING AND METHOD EMPLOYED THEREOF
  Inventor(s): Milan Kumar Dholey, Dr. Shibaprasad Sen, Dr. Biswajit Ghosh, Dr. Tanmay Bhattacharya, Priya Saha, and Manab Kumar Saha
  Patent Number: 22/2024
  Application Number: 202441039974
  Filing Date: 22/05/2024
  Grant/Publication Date: 31/05/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: AN IMPROVED ADAPTIVE HUMAN-COMPUTER INTERACTION SYSTEM WITH MACHINE LEARNING INTERFACE
  Inventor(s): Dr. Santanu Koley, Dr. Sohail Saif, Dr. Shibaprasad Sen, Dr. Deepak Kumar, Dr. Nabanita Das, Dr. Brajesh Kumar, Amarendra Kumar, Susmita Biswas, and Subarna Roy
  Patent Number: 28/2024
  Application Number: 202431050149
  Filing Date: 01/07/2024
  Grant/Publication Date: 12/07/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: INTELLIGENT METHOD FOR DYNAMIC RESOURCE ALLOCATION IN CLOUD ENVIRONMENTS WITH MACHINE LEARNING AND DISTRIBUTED COMPUTING
  Inventor(s): Dr. Santanu Koley,Dr. Anirban Kundu, Ayan Banerjee, Saswati Sarkar, Dr. Nitul Dutta, Dr. Sultan Ahmad, Dr. Shibaprasad Sen, Priyam Das, Saubhik Bandyopadhyay
  Patent Number: 34/2024
  Application Number: 202431058991
  Filing Date: 5/8/2024
  Grant/Publication Date: 23/8/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: SYSTEM AND METHOD FOR DYNAMIC DATA ANALYSIS AND AUTOMATION BASED ON ADAPTIVE MACHINE LEARNING MODELS
  Inventor(s): Dr. Santanu Koley, Dr. Dhrubajyoti Ghosh, Soma Chatterjee, Sohini Paul, Chandni Bansal, Dr. Chetan Gondaliya,Dr. Abhishek Parikh, Dr. Anil Shankar Jadhav, Dr. Seema Sahai, Arpan Adhikary
  Patent Number: 32/2024
  Application Number: 202431055543
  Filing Date: 21/7/2024
  Grant/Publication Date: 9/8/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: A MACHINE LEARNING, BLOCK CHAIN AND DATA WAREHOUSING INTEGRATED SECURE DATA MANAGEMENT SYSTEM
  Inventor(s): Dr. Santanu Koley, Dr. Chiranjib Chakravartty, Dr. Manojit Bhattacharya, Dr. Santanu Modak, Pranabes Gangopadhyay, Brijit Bhattacharjee, Soma Chatterjee, Sohini Paul, Dr. Indradip Banerjee, Dr. Shibakali Gupta
  Patent Number: 21/2024
  Application Number: 202431037551
  Filing Date: 13/5/2024
  Grant/Publication Date: 24/5/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: Innovative ECG Machine
  Inventor(s):Arka Pravo Dutta, Pramit Bhar, Koushik Mukherjee, Subhradeep Ganguly, Prof. (Dr.) Debabrata Datta, Mr. Prasenjit Das
  Patent Number: 27/2024
  Application Number: 202431049136
  Filing Date: 26/6/2024
  Grant/Publication Date: 7/5/2024
  Patent Office/Country: India
  Status: Published
• Title of the Patent: Photovoltaic Panel solar tracking device
  Inventor(s): Mr. Sankha Singhamahapatra, Ms. Aditi Tokder, Dr. Subhankar Chatterjee, Dr. Anirban Bose, Dr. Anandaprova Majumder, Dr. Sumana Kundu, Mr. Amitabha Mandal, Mr. Rajib Kumar Mondal
  Design Number: 6514788
  Application Number: 6514788
  Filing Date: 24/03/2026
  Grant/Publication Date: 10/04/2026
  Patent Office/Country: Intellectual Property Office, UK
  Status: Granted
• Title of the Patent: AI-PO WERED HPLC SYSTEM FOR PREDICTIVE RETENTION TIME ESTIMATION
  Inventor(s): Dr. Sambit Kumar Parida, Dr. Sasmita Subhadarsinee Choudhury, Dr. Priya Bhaskar Pandharbale, Dr. Shaiphali Saxena S.Miss. Priyanka Bhardwaj, Mrs. Taruna, Dr. Prabhakar Vishvakarma, Dr. Suresh Kumar, Mrs. Swathi S, Mr. Vikram, Mr. Dhiraj Kumar, Dr. Farhad F Mehta
  Design Number: 463497-001
  Filing Date: 25/06/2025
  Grant/Publication Date: 15/10/2025
  Patent Office/Country: India
  Status: Granted
• Title of the Patent: ML-Powered Cloud Gateway Network Access Device for Security
  Inventor(s): Dr. Sivapriyan Rajendran, Dr. Subro Santiranjan Thakur, Dr. Soma Bandyopadhyay, Abhisek Hazra, Dr. Puja Padiya, Dr. Nilesh Marathe, Abhijit Mitra, Sandeep Govindrao Panchal, Abanikanta Pattanayak, Dr. Santanu Koley
  Design Number: 6453245
  Filing Date: 24/06/2025
  Grant/Publication Date: 04/07/2025
  Patent Office/Country: UK
  Status: Granted
• Title of the Patent: Transformable Gumboot to Comfortable and Stylish Footwear System
  Inventor(s): Ruchita Ganguly, Mr. Prasenjit Das, Mr. Puspen Lahiri
  Journal No. 24/2026
  Application Number: 202631067405 A
  Filing Date: 29/05/2026
  Grant/Publication Date: 12/06/2026
  Patent Office/Country: India
  Status: Published

External Funding [1] MCKV Institute of Engineering has been selected under the National Quantum Mission by the Department of Science & Technology for its proposal on “Undergraduate Teaching Laboratories in Quantum Technologies.” The project, led by Dr. Soma Bandyopadhyay, places MCKVIE among 23 institutions nationwide and marks it as the only private autonomous engineering college in West Bengal to receive this honor. The team includes Co Principal Investigators Dr. Tanmoy Roy Choudhury, Dr. Dipankar Ghosh, and Dr. Krishnendu Chattopadhyay, with Mr. Supriyo Das as a core member.

[2] Received a granted ₹ 1 Lakh for organising 6-DAYS FDP (ATAL) ON QUANTUM EDGE INTELLIGENCE (Online) by Dr. Soma Bandyopadhyay (Coordinator), Mr. Prasenjit Das (Co- Coordinator) and Mr. Sumit Majumdar (Convenor).

[3] A Sponsored Research Project proposal of Mahua Nandy Pal, as Co-PI, has been granted under Cohort-2 Call for Proposals with MeitY Quantum Computing Applications Lab (QCAL), Ministry of Electronics and Information Technology, Govt. of India on 25th April, 2023. Duration of the project is of 24 months.

[4] Received ₹ 3.39 Lakhs from AICTE for organizing 6-DAYS SHORT TERM TRAINING PROGRAM ON BUSINESS ANALYTICS in 2020 by Prof. (Dr.) S. S. Thakur (Coordinator), Mr. Avijit Bose (Convenor), Mr. Prasenjit Das (Joint Convenor), Dr. Soma Bandyopadhyay (Joint Convenor) and Dr. Mahua Nandy Pal (Joint Convenor).

[5] Received ₹ 0.93 Lakhs from ATAL-AICTE for organizing 5-DAYS FDP ON DATA SCIENCE in 2021 by Prof. (Dr.) S. S. Thakur, Dr. Soma Bandyopadhyay (Joint Convenor), and Mr. Sumit Majumdar (Joint Convenor).


Achievements and Awards [1] Dr. S. S. Thakur and Ms. Rachita Ghoshhajra have been awarded as "Eminent Educator of the Year" by All India Eminent Faculty Council of engineering, management and Technology on 5th July, 2024 at Saltlake.

[2] Dr. Soma Bandyopadhyay, Dr. Deep Suman Dev, Dr. Diptadeep Maity, Mr. Soham Goswami, Mr. Sudipta Hazra have been recognized as Fellow Members of the Institution of Electronics and Telecommunication Engineers (IETE).

[3] Mangal Singh has been awarded a Certificate as a Certified International Mentor with I2OR India. Certificate no.: I2OR/IMP/185 in the month of September, 2024. (Check with HOD Sir)

[4] MACHINE LEARNING ALGORITHMS: THEORY AND PRACTICE
by Mr. Manab Kumar Das, Dr. Amitava Halder, Mr. Soham Goswami, Mr. Prasenjit Das, Mr. Prasenjit Das Published by Bluepen International Publisher
ISBN: 978-93-6940-421-6
Publication Date: 06 July 2026

[5] A complete overview on Web Technology
by Tathagata Roy Chowdhury Dr. Aniruddha Nag, Dr. Subro Santiranjan Thakur Published by Taurean Publications
ISBN: 978-93-4731-003-4
Publication date : 10 February 2026


Member of Professional Body

• Mr. Avijit Bose (Head of the Dept) IEEE member
• Dr. Subro Santiranjan Thakur (Professor and Teacher in Charge) IEEE Member
• Dr. Soma Bandyopadhyay (Associate professor) IETE Fellow
• Ms. Rachita Ghoshhajra (Assistant Professor) IEEE member
• Mr. Chandan Roy (Assistant Professor) IETE Member
• Ms. Anwesa Naskar (Assistant Professor) IETE Member