Dr. Suparna Biswas (Saha)

Professor

Department of Computer Science & Engineering

About Dr. Suparna Biswas (Saha)

Dr. Suparna Biswas is a Professor in the Department of Computer Science & Engineering in Maulana Abul Kalam Azad University of Technology, WB. She has received ME and Ph.D from Jadavpur University, West Bengal. She has been an ERASMUS MUNDUS Post Doctoral research fellow in cLINK project in Northumbria
University, Newcastle, UK. She has successfully completed funded research projects, successfully guided PhD research scholars, UG and PG thesis etc. She has authored technical books, Edited books published by reputed international publishers with International collaborations. She has been lead organizing chair in organizing International Conference, acted as session chair in International Conferences, delivered a number of Invited lectures in Seminar, Workshop, Webinar, FDP, Tutorial Lectures in International Conferences She has conducted special sessions, workshops in International conferences. She has co-authored about 100 research papers published in indexed journals including Q1 journals, in international conferences and as book chapters of international repute.
She has organized national level FDPs funded by AICTE ATAL Academy, EICT Academy, NIT Patna under MeitY etc. as Coordinator. She has been awarded with International patents for innovation in development of Smart health monitoring assistance prototype for Parkinson’s diseased elderly. Her areas of research interests are Internet of Things, Smart Healthcare, Network Security, Machine Learning etc. She is a senior member of IEEE, member of IEEE Computer Society.
I. Post Doctoral Fellowship:
She has been an Erasmus Mundus Post Doctoral research fellow in cLINK project (EU GrantAgreementNo:2012-2645/001-001-EMAction2-Partnerships) at Northumbria University, Newcastle, UK during August 2014 to June 2015. She has worked on WBAN, WSN, Visible light Communication (VLC) etc. during her stay The collaboration continued in terms of joint publications, workshop, FDP organizations etc.
II. Professional membership:
She is an IEEE Senior Member since 2020, Member, IEEE Computer Society, 2026.
III. Sponsored projects:
 Executed WBDST funded project on “IoT based End-to-End Secure Remote Healthcare” as Principal Investigator
 Executed AICTE-CRS, MHRD sponsored project under TEQIP III on “A Framework for Patient-in-transit

Healthcare by Ensuring Seamless Health Data Transmission” as Co-Principal Investigator.

IV. Patents Awarded:
Out of her innovative contribution in research, she has been awarded with International patents with following details:
 Australian patent no. 2021102699, “A system and method for smart walking assistant for elderly care”, collaborators: Pratik Bhattacharjee, and Suparna Biswas, awarded on 19 th May, 2021.
 Australian patent no. 2021102703, “IoT-based system and method for fall detection in elderly or PD people by the means of smartphone”, collaborators: Pratik Bhattacharjee, Suparna Biswas, Samiran Chattopadhyay, Chandreyee Chowdhury, Sandip Roy, Rajesh Bose, awarded on 19 th May, 2021.
Research Guidance:
V. List of PhD degree awarded scholars
i. Jayita Saha, “Context aware monitoring for remote healthcare”, Reg. No. D-7/E/594/16 & Index No: 4/16/E, Registered in JU, 08.09.2016, degree awarded on 30.04.2021, (Joint Supervisor).
ii. Ramesh Saha, “Study on QoS Provisioning of Remote Healthcare Monitoring using WBAN and VANET”, Registered in MAKAUT, WB. 23.06.2016, registration no.
PhD/TECH/CSEIT024/2016, degree awarded on 16.06.2021(Sole Supervisor).
iii. Pratik Bhattacharjee, “Design and Implementation of Location Aware, Intelligent End to End Smart Healthcare System”, PhD registration No. PhD/Tech/CSE096/2019, registered at MAKAUT, WB. Provisional PhD degree awarded on 14.03.2024 (Sole Supervisor).
iv. Sohail Saif, “A Secure Framework for Smart Healthcare”, PhD registration no. PhD/Tech/CSEIT088/2019, Provisional PhD degree awarded on 14.03.2024 (Sole Supervisor).
v. Koushik Karmakar, “A Framework for Seamless and Secure Data Transmission in Healthcare Domain”, PhD/Tech/CSEIT046/2017, Provisional PhD degree awarded on 09.06.2023 (Joint Supervisor).
vi. Dipanwita Thakur, “An Efficient and Intelligent Human Activity Monitoring and Recognition Framework for Smart Healthcare”, Registration no., PhD/Tech/CSE097/2019, Provisional PhD degree awarded on 26 th September, 2023 (Sole Supervisor).
VI. List of Registered/Enrolled PhD scholars:
i) Tumpa Saha, “Design and development of efficient routing protocols in WSN for smart applications”, registration certificate: PHD/TECH/CSE020/2021, Date 18/11/2021 (Sole supervision).
ii) Mayurakshi Jana, “Machine learning based frameworks for monitoring, prediction and identification of diseases in IoT based Healthcare”, PhD Registration no. PHD/TECH/CSEO17/2021, date 18/11/2021 (Sole Supervision).
iii) Indrani Mukherjee, “Design and Development of Disease Prediction Frameworks applying Machine Learning and Deep Learning for Smart Healthcare”, Enrollment no. PhD/Tech/CSE006/2023, date 17.02.2023. (Sole Supervision).
iv) Buddhadev Sasmal, “Empowering precision agriculture with advanced deep learning models for smart farming solutions”, registered, Enrollment no. PhD/Tech/CSE004/2025, date 25.06.2025 (Joint Supervision).
v) Md Sharib, \"Design and implementation of a smart healthcare framework for early prediction and monitoring of chronic diseases using machine learning models\", Enrollment no. PhD/Tech/CSE002/2025, date 25.06.2025 (Joint Supervision).
vi) Ms. Moupiya Sarkar, “Design and development of hybrid intelligent models for crop disease detection and prediction using multi-DOMAIN data sources”, PhD/Tech/CSE003/2026 date 12.04.2026 (Sole Supervision).

VII. Authored Books:
1. Biswas, Suparna. “Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection”, DOI: https://doi.org/10.1007/978-3-032-09241-0, Hardcover ISBN 978-3-032-09240-3 Published: 03 January 2026 Springer Nature Switzerland, 2026.
2. Biswas, Suparna, Chandreyee Chowdhury, and Sarmistha Neogy, “Adhoc and Sensor Networks: Security and Applications”, DOI: https://doi.org/10.1007/978-981-95-5839-1, Hardcover ISBN 978-981-95-5838-4 Published: 03 January 2026, Springer, 2026.
VIII. Editorial Experience:
1. Editor in Journals:

a. Lead Editor in the Journal “Discover Networks”, Springer, in Topical issue “Advances in
Sustainable Wireless Sensor Networks”, Electronic ISSN 3004-9792 Springer Nature’s
Discover Series journal, 2025.
b. Guest Editor, Journal of Sensors, Willey, special issue “Health Monitoring and
Biomedical Sensors: Advances, Applications, and Emerging Trends”, 2026.
c. Editorial Board Member, Discover Artificial Intelligence, springer.
d. Editorial Board Member, Scientific Reports, springer.

2. Edited books:
i. Suparna Biswas, Chandreyee Chowdhury, Biswarup Acharya, Chuan-Ming-Liu, “Internet of
Things based Smart Healthcare”, Springer, Series Title: “Smart Computing and Intelligence”, DOI
https://doi.org/10.1007/978-981-19-1408-9, Hard Cover/ISBN: 978-981-19-1407-2Published: 19 July 2022.
ii. Banerjee, Shreya, Sayantani Saha, Suparna Biswas, and Narayan C. Debnath, “AI in Smart and
Secure Healthcare”, Springer, 2026.
iii. Saif Sohail, Suparna Biswas, Seemanti Saha, Samit Kumar Ghosh, and Nauman Aslam, \"Secure
Intelligent Sustainable Applications Using IoT for Society 6.0.\", Springer, DOI
https://doi.org/10.1007/978-3-032-27248-5, 2026.
Publication Details:
1. Journal Publication : SCI Indexed Journals
2. :
1. Bhattacharjee, P., Sarkar, I., & Biswas, S. (2025). “Enhanced fall prevention: A real-time hybrid analysis with smart
walking stick & Edge-based IoMT”,  Computers and Electrical Engineering, 124, 110312, IF 4, Q1 Journal.
2. Saif, S., Gupta P., Biswas S., Khan S., Haq M. A., Kovtun V., (2024), “A Secure Data Transmission Framework for
IoT enabled Healthcare”, published in the journal Heliyon, SCIE, IF 3.4, a cell press open access journal, Volume 10,
Issue 16, August, 2024,.
3. Thakur, D., & Biswas, S. (2024). Permutation importance based modified guided regularized random forest in human
activity recognition with smartphone. Engineering Applications of Artificial Intelligence, 129, 107681, Q1, IF 8.
4. Pal.T, Saha.R, Biswas.S (2024) “Design and implementation of a routing protocol for VANET to improve the QoS of
the Network” Journal of Network and Systems Management (2024) 32:45 [DOI: https://doi.org/10.1007/s10922-024-
09821-z], (SCIE. IF 3.9). Springer.
5. Saif, S., Das, P., & Biswas, S. (2023). DHOA-ANFIS: A Hybrid Technique to Detect Routing Attacks in Wireless
Body Area Network. Wireless Personal Communications, 1-28, IF 1.9.
6. Bhattacharjee, P., Biswas, S., Chattopadhyay, S., Roy, S., & Chakraborty, S. (2023). Smart Assistance to Reduce the
Fear of Falling in Parkinson Patients Using IoT. Wireless Personal Communications, 130(1), 281-302.
7. Biswas, S., Ghassemlooy, Z., Le-Minh, H., Chattopadhyay, S., Tang, X., & Lin, B. (2023). On application of a
positioning system using photosensors with user mobility support in HealthCare system. Proceedings of the National
Academy of Sciences, India Section A: Physical Sciences, 93(1), 121-133.

8. Saif, S., Das, P., Biswas, S., Khari, M., & Shanmuganathan, V. (2022). HIIDS: Hybrid intelligent intrusion detection
system empowered with machine learning and metaheuristic algorithms for application in IoT based healthcare.
Microprocessors and Microsystems, 104622.
9. Thakur, D., & Biswas, S. (2022). An integration of feature extraction and guided regularized random forest feature
selection for smartphone based human activity recognition. Journal of Network and Computer Applications, 204,
103417.
10. Thakur, D., & Biswas, S. (2022). Online change point detection in application with transition-aware activity
recognition. IEEE Transactions on Human-Machine Systems, 52(6), 1176-1185.
11. Thakur, D., & Biswas, S. (2022). Attention-based deep learning framework for hemiplegic gait prediction with
smartphone sensors. IEEE Sensors Journal, 22(12), 11979-11988.
12. Bhattacharjee, P., & Biswas, S. (2022). Smart walking assistant (SWA) for elderly care using an intelligent realtime
hybrid model. Evolving Systems, 13(2), 265-279.
13. Karmakar, K., Saif, S., Das, P., Neogy, S., & Biswas, S. (2022). FDRF: fault detection and recovery framework for
seamless data transmission in remote health monitoring using WBAN. Wireless Personal Communications, 1-32.
14. Thakur, D., Biswas, S., Ho, E. S., & Chattopadhyay, S. (2022). Convae-lstm: Convolutional autoencoder long short-
term memory network for smartphone-based human activity recognition. IEEE Access, 10, 4137-4156.
15. Saif, S., Saha, R., & Biswas, S. (2022). On Development of MySignals based prototype for application in health vitals
monitoring. Wireless Personal Communications, 122(2), 1599-1616.
16. Ghosh, A., Roy, S., Mondal, H., Biswas, S., & Bose, R. (2022). Mathematical modelling for decision making of
lockdown during COVID-19. Applied Intelligence, 52(1), 699-715.
17. Saha, R., Biswas, S., Sarma, S., Karmakar, S., & Das, P. (2021). Design and implementation of routing algorithm to
enhance network lifetime in WBAN. Wireless Personal Communications, 118, 961-998.
18. Gupta, R., & Biswas, S. (2020). Priority based IEEE 802.15. 4 MAC by varying GTS to satisfy heterogeneous traffic
in healthcare application. Wireless Networks, 26(3), 2287-2304.
19. Saha, J., Chowdhury, C., & Biswas, S. (2018). Two phase ensemble classifier for smartphone based human activity
recognition independent of hardware configuration and usage behaviour. Microsystem Technologies, 24, 2737-2752.
Scopus Indexed Journal
1. Thakur, D., & Biswas, S. (2023). Guided regularized random forest feature selection for smartphone based human
activity recognition. Journal of Ambient Intelligence and Humanized Computing, 14(7), 9767-9779.
2. Saif, S., Yasmin, N., & Biswas, S. (2023). Feature engineering based performance analysis of ML and DL algorithms
for Botnet attack detection in IoMT. International Journal of System Assurance Engineering and Management,
14(Suppl 1), 512-522.
3. Saif, S., Mondal, N., & Biswas, S. (2023). Secure Electronic Health Record Storage and Retrieval Using Blockchain
and Encryption for Healthcare Application. SN Computer Science, 4(3), 300.
4. Saif, S., Karmakar, K., Biswas, S., & Neogy, S. (2022). MLIDS: machine learning enabled intrusion detection system
for health monitoring framework using BA-WSN. International Journal of Wireless Information Networks, 29(4),
491-502.
5. Pal, T., Saha, R., & Biswas, S. (2022). Sink Mobility-Based Energy Efficient Routing Algorithm Variants in WSN.
International Journal of Wireless Information Networks, 29(3), 373-392.
6. Thakur, D., & Biswas, S. (2021). Feature fusion using deep learning for smartphone based human activity
recognition. International Journal of Information Technology, 13(4), 1615-1624.
7. Karmakar, K., Saif, S., Biswas, S., & Neogy, S. (2021). A WBAN-based framework for health condition monitoring
and faulty sensor node detection applying ANN. International Journal of Biomedical and Clinical Engineering
(IJBCE), 10(2), 44-65.
8. Saha, R., Biswas, S., Sarmah, S., Karmakar, S., & Das, P. (2021). A working prototype using DS18B20 temperature
sensor and arduino for health monitoring. SN Computer Science, 2, 1-21.
9. Saif, S., Das, P., & Biswas, S. (2021). A hybrid model based on mba-anfis for covid-19 confirmed cases prediction
and forecast. Journal of The Institution of Engineers (India): Series B, 1-14.
10. Saif, S., Gupta, R., & Biswas, S. (2021). A complete secure cloud-based WBAN framework for health data
transmission by implementing authenticity, confidentiality and integrity. International Journal of Advanced
Intelligence Paradigms, 20(1-2), 171-189.

11. Thakur, D., & Biswas, S. (2020). Smartphone based human activity monitoring and recognition using ML and DL: a
comprehensive survey. Journal of Ambient Intelligence and Humanized Computing, 11, 5433-5444.
12. Saha, R., Naskar, S., Biswas, S., & Saif, S. (2019). Performance evaluation of energy efficient routing with or without
relay in medical body sensor network. Health and Technology, 9, 805-815.
13. Saha, J., Chowdhury, C., Roy Chowdhury, I., Biswas, S., & Aslam, N. (2018). An ensemble of condition based
classifiers for device independent detailed human activity recognition using smartphones. Information, 9(4), 94.
Indexed Journal:
1. Pal, T., Saif, S., Saha, R. Biswas.S (2026)” Energy efficient routing protocols in WSN for precision and smart
agriculture”. Discover Network, [DOI: https://doi.org/10.1007/s44354-026-00045-y], Electronic ISSN 3004-9792,
Springer.
Conference
1. Pal, T., Saif, S., Saha, R., Biswas, S. (2026). An Energy-Aware Clustering-Based Routing Protocol Using Weighted
Sum Optimization in Wireless Sensor Networks. In: Jaiswal, A., Anand, S., Hassanien, A.E. (eds) Proceedings of
International Conference on Computing Systems and Intelligent Applications. ComSIA 2026. Lecture Notes in
Networks and Systems, vol 2086. Springer, Cham. https://doi.org/10.1007/978-3-032-33535-7_15.
2. Jana, M., Biswas, S. (2027). HCML-ADE: An Ensemble Method for Early Alzheimer’s Disease Diagnosis Using
MRI Images. In: Jaiswal, A., Anand, S., Hassanien, A.E. (eds) Proceedings of International Conference on
Computing Systems and Intelligent Applications. ComSIA 2026. Lecture Notes in Networks and Systems, vol 2086.
Springer, Cham. https://doi.org/10.1007/978-3-032-33535-7_14.
3. Saha, Rupa, Koushik Karmakar, and Suparna Biswas. \"Framework for classifying gait disorders and fall prevention.\"
In 2025 International Conference on Computer, Electrical & Communication Engineering (ICCECE), pp. 1-6. IEEE,
2025.
4. Sharib, Md, Pratik Bhattacharjee, and Suparna Biswas. \"A Comprehensive Survey of Sensor-Based Healthcare:
Methodologies.\" In Proceedings of Third International Conference on Intelligent System: ICIS 2024, p. 447. Springer
Nature, 2025.
5. Jana, Mayurakshi, and Suparna Biswas. \"Extensive Investigation on Smart Healthcare Towards Disease
Classification Using Deep Learning.\" In Doctoral Symposium on Human Centered Computing, pp. 567-589.
Singapore: Springer Nature Singapore, 2024.
6. Jana, Mayurakshi, and Suparna Biswas. \"Performance Evaluation of Deep Learning-Based Models for Classification
of Levels of Dementia Disease Using MRI.\" Machine Learning for Social Transformation: Proceedings of EAIT
2024 1131 (2025): 229.
7. Thakur, D., Roy, S., Biswas, S., Ho, E. S., Chattopadhyay, S., & Shetty, S. (2023, August). A Novel Smartphone-
Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network.
In 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 146-
153). IEEE.
8. Saif, S., Das, P., & Biswas, S. (2023). LSEA-IOMT: On the Implementation of Lightweight Symmetric Encryption
Algorithm for Internet of Medical Things (IoMT). In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022 (pp.
565-575). Singapore: Springer Nature Singapore.
9. Mukherjee, I., Bhattacharjee, P., & Biswas, S. (2022, December). Evaluation of a Hybrid Dataset for Risk
Assessment of Heart Disease. In International Conference on Computational Intelligence (pp. 177-187). Singapore:
Springer Nature Singapore.
10. Chowdhury, C., & Biswas, S. (2022, September). Role of ML and DL for IoT based Societal Applications. In Adjunct
Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services
(pp. 1-3).
11. Karmakar, K., Saif, S., Biswas, S., & Neogy, S. (2022). An Intelligent Vehicular Communication-Based Framework
to Provide Seamless Connectivity in WBAN. In Advances in Communication, Devices and Networking: Proceedings
of ICCDN 2021 (pp. 583-591). Singapore: Springer Nature Singapore.

12. Karmakar, K., Saif, S., Biswas, S., & Neogy, S. (2022). Application of Relay Nodes in WBAN-based smart
Healthcare for energy conservation explained with case studies. In High Performance Computing and Networking:
Select Proceedings of CHSN 2021 (pp. 639-647). Singapore: Springer Singapore.
13. Thakur, D., & Biswas, S. (2022). Optimization of Hyperparameters in Convolutional Neural Network for Human
Activity Recognition. In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning,
IoT, Smart Cities and Applications: ICMISC 2021 (pp. 535-546). Springer Singapore.
14. Pal, T., Barari, S., Saha, R., Saif, S., & Biswas, S. (2022). Design and Implementation of Centrality Approach-Based
Energy Efficient Routing in Wireless Sensor Network. In Proceedings of International Conference on Advanced
Computing Applications: ICACA 2021 (pp. 355-368). Springer Singapore.
15. Thakur, D., & Biswas, S. (2022). Smartphone-Based Human Activity Pattern Identification Using Unsupervised
Learning. In Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 2 (pp.
549-559). Springer Singapore.
16. Karmakar, K., Saif, S., Biswas, S., & Neogy, S. (2021, August). A priority based routing protocol to improve quality
of service (QoS) in wireless body area network for COVID and diabetic patients. In International Conference on
Communication, Devices and Computing (pp. 179-190). Singapore: Springer Nature Singapore.
17. Thakur, D., & Biswas, S. (2021). A novel human activity recognition strategy using extreme learning machine
algorithm for smart health. In Emerging Technologies in Data Mining and Information Security: Proceedings of
IEMIS 2020, Volume 1 (pp. 215-222). Springer Singapore.
18. Saif, S., Jana, M., & Biswas, S. (2021). Recent trends in IoT–based smart healthcare applying ml and dl. Emerging
Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3, 785-797.
19. Biswas, S., & Chowdhury, C. (2020, October). Smartphone and Sensor based Health Monitoring Enabled with IoT
and ML. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (pp.
1-3).
20. Bhadoria, R. K., & Biswas, S. (2020). A model for classification of skin disease using pretrained convolutional neural
network. In Proceedings of the Global AI Congress 2019 (pp. 173-186). Springer Singapore.
21. Saif, S., & Biswas, S. (2019, March). On the implementation and performance evaluation of security algorithms for
healthcare. In International Conference on Communication, Devices and Computing (pp. 629-640). Singapore:
Springer Nature Singapore.
22. Saif, S., & Biswas, S. (2019). Secure data transmission beyond tier 1 of medical body sensor network. In Proceedings
of International Ethical Hacking Conference 2018: eHaCON 2018, Kolkata, India (pp. 405-417). Springer Singapore.
Book Chapter
1. Jana, M., Ray, S., Biswas, S., Yadav, V. (2026). Extensive Investigation on Smart Healthcare and Alzheimer’s
Disease Prediction Using Multimodal Data. In: Banerjee, S., Saha, S., Biswas, S., Debnath, N.C. (eds) AI in
Smart and Secure Healthcare. Springer Optimization and Its Applications, vol 243. Springer, Cham.
https://doi.org/10.1007/978-3-032-15092-9_4.
2. Pal, T., Saif, S., Saha, R., Biswas, S. (2026). An Energy-Aware Clustering-Based Routing Protocol Using
Weighted Sum Optimization in Wireless Sensor Networks. In: Jaiswal, A., Anand, S., Hassanien, A.E. (eds)
Proceedings of International Conference on Computing Systems and Intelligent Applications, ComSIA 2026.
Lecture Notes in Networks and Systems, vol 2086. Springer, Cham. https://doi.org/10.1007/978-3-032-33535-
7_15
3. Thakur, D., & Biswas, S. (2022). Machine Learning in Sustainable Healthcare. In Advanced Computational
Techniques for Sustainable Computing (pp. 79-91). CRC Press.
4. Thakur, D., Biswas, S., & Pal, A. (2022). Human Activity Recognition Systems Based on Audio-Video Data
Using Machine Learning and Deep Learning. In Internet of Things Based Smart Healthcare: Intelligent and
Secure Solutions Applying Machine Learning Techniques (pp. 151-175). Singapore: Springer Nature Singapore.
5. Pal, T., Saha, R., Sen, S., Saif, S., & Biswas, S. (2022). Architecture for Smart Healthcare: Cloud Versus Edge.
In Internet of Things Based Smart Healthcare: Intelligent and Secure Solutions Applying Machine Learning
Techniques (pp. 23-48). Singapore: Springer Nature Singapore.
6. Saif, S., Bhattacharjee, P., Karmakar, K., Saha, R., & Biswas, S. (2022). IoT-Based Secure Health Care:
Challenges, Requirements and Case Study. In Internet of Things Based Smart Healthcare: Intelligent and Secure
Solutions Applying Machine Learning Techniques (pp. 327-350). Singapore: Springer Nature Singapore.

7. Saif, S., Roy, P., Chowdhury, C., Biswas, S., & Maulik, U. (2022). Smart e-agriculture monitoring systems. In
AI, Edge and IoT-based Smart Agriculture (pp. 183-203). Academic Press.
8. Bhattacharjee, P., & Biswas, S. (2021). Smart fall detection systems for elderly care. Deep Learning and IoT in
Healthcare Systems: Paradigms and Applications, 157.
9. Saha, A., Jana, M., Chowdhury, C., Biswas, S., & Pandit, D. (2021). The Web of Things Ecosystem. Smart
Connected World: Technologies and Applications Shaping the Future, 47-69.
10. Jana, M., & Biswas, S. (2021). Intelligent and smart enabling technologies in advanced applications: recent
trends. Recent Trends in Computational Intelligence Enabled Research, 355-365.
11. Saha, R., Sen, S., Saha, J., Nandy, A., Biswas, S., & Chowdhury, C. (2021). Ontology-based intelligent decision
support systems: A systematic approach. In Web Semantics (pp. 177-193). Academic Press.
12. Bhadoria, R. K., Saha, J., Biswas, S., & Chowdhury, C. (2021). IoT-based location-aware smart healthcare
framework with user mobility support in normal and emergency scenario: a comprehensive survey. Healthcare
Paradigms in the Internet of Things Ecosystem, 137-161.
13. Saif, S., Datta, D., Saha, A., Biswas, S., & Chowdhury, C. (2021). Data science and AI in IoT based smart
healthcare: Issues, challenges and case study. Enabling AI Applications in Data Science, 415-439.
14. Saha, A., Chowdhury, C., Jana, M., & Biswas, S. (2021). IoT sensor data analysis and fusion applying machine
learning and meta-heuristic approaches. Enabling AI applications in data science, 441-469.
15. Sen, S., Roy, S., Biswas, S., & Chowdhury, C. (2021). Security-and privacy-aware computing in cloud with user
mobility: an extensive review. Research Anthology on Privatizing and Securing Data, 879-897.
16. Saif, S., Biswas, S., & Chattopadhyay, S. (2020). Intelligent, secure big health data management using deep
learning and blockchain technology: an overview. Deep Learning Techniques for Biomedical and Health
Informatics, 187-209.
17. Saha, J., Chowdhury, C., & Biswas, S. (2020). Review of machine learning and deep learning based
recommender systems for health informatics. Deep learning techniques for biomedical and health informatics,
101-126.
Research Guidance:
List of PhD degree awarded scholars
i) Jayita Saha, “Context aware monitoring for remote healthcare”, Reg. No. D-7/E/594/16 &
Index No: 4/16/E, Registered in JU, 08.09.2016, degree awarded on 30.04.2021, (Joint
Supervisor).
ii) Ramesh Saha, “Study on QoS Provisioning of Remote Healthcare Monitoring using
WBAN and VANET”, Registered in MAKAUT, WB. 23.06.2016, registration no.
PhD/TECH/CSEIT024/2016, degree awarded on 16.06.2021(Sole Supervisor).
iii) Pratik Bhattacharjee, “Design and Implementation of Location Aware, Intelligent End to
End Smart Healthcare System”, PhD registration No. PhD/Tech/CSE096/2019, registered
at MAKAUT, WB. Provisional PhD degree awarded on 14.03.2024 (Sole Supervisor).
iv) Sohail Saif, “A Secure Framework for Smart Healthcare”, PhD registration no.
PhD/Tech/CSEIT088/2019, Provisional PhD degree awarded on 14.03.2024 (Sole
Supervisor).
v) Koushik Karmakar, “A Framework for Seamless and Secure Data Transmission in
Healthcare Domain”, PhD/Tech/CSEIT046/2017, Provisional PhD degree awarded on
09.06.2023 (Joint Supervisor).
vi) Dipanwita Thakur, “An Efficient and Intelligent Human Activity Monitoring and
Recognition Framework for Smart Healthcare”, Registration no., PhD/Tech/CSE097/2019,
Provisional PhD degree awarded on 26 th September, 2023 (Sole Supervisor).

List of Registered/Enrolled PhD scholars:
vii) Tumpa Saha, “Design and development of efficient routing protocols in WSN for smart applications”,

registration certificate: PHD/TECH/CSE020/2021, Date 18/11/2021 (Sole supervision).
viii) Mayurakshi Jana, “Machine learning based frameworks for monitoring, prediction and identification of
diseases in IoT based Healthcare”, PhD Registration no. PHD/TECH/CSEO17/2021, date 18/11/2021
(Sole Supervision).
ix) Indrani Mukherjee, “Design and Development of Disease Prediction Frameworks applying Machine
Learning and Deep Learning for Smart Healthcare”, Enrollment no. PhD/Tech/CSE006/2023, date
17.02.2023. (Sole Supervision)
x) Buddhadev Sasmal, “Empowering precision agriculture with advanced deep learning models for smart
farming solutions”, Enrollment no. PhD/Tech/CSE004/2025 (Joint Supervision), (Joint Supervision)
xi) Md Sharib, \"Design and implementation of a smart healthcare framework for early prediction and
monitoring of chronic diseases using machine learning models\", Enrollment no.
PhD/Tech/CSE002/2025, 25.06.2025, (Joint Supervision).
xii) Moupriya Sarkar, “A Hybrid FUZZY-NEURO-Genetic algorithm based Model for early DETECTION
& Prediction of Rice Diseases based on Environmental & agrochemical Parameters”, Enrollment no.
PhD/Tech/CSE003/2026, 12.04.2026.
Invited Tutorial in International Conference as Speaker:
a. “Smartphone and Sensor based Health Monitoring enable with IoT and ML”, Mobile HCI, 2020, October
5-8, ACM Conference, Oldenburg, Germany, 5th October, 2020.
b. “Monitoring applying Sensor, IoT and ML-Implementation Perspective”, Mobile HCI 2022, Vancouver,
Canada, 28-1 st September, 2022.
Sponsored Foreign Laboratory Visit for Hands-on Training:
TEQIP Funded Laboratory visit to the Wireless Network Laboratory in the Department of Electrical &
Computer Engineering in National University of Singapore (NUS) in 2014 under Study & Networking
Tour, TEQIP, MAKAUT, WB.
Invited Lecture/Session Chair/Panelist/Conference Organization:
i. International:
1. Invited as panelist in NATCON 2026, a two-day National Conference on the theme “New Vision
on the SDGs: Strengthening Resilience & Sustainable Practices and Regulatory Awareness in
Healthcare, Management, and IT”, scheduled to be held on 27th and 28th March 2026 at Rotary
Sadan, Kolkata.
2. Invited as Session Chair in Metasphere, International Conference, August, 2026, IEM Kolkata.
3. Invited as Session Chair at 6 th and 7 th International Conference on Frontiers in Computing and
 Systems (COMSYS- 2025, 2026).
4. Invited as Session Chair in Analytics Global conference (AGC 2026), March 2026.
5. Invited as Session chair in International Conference on Artificial Intelligence and Sustainable
Computing (AISC 2024, 2025), Springer, July, 2024, Kolkata, India.
6. Acted as Session Chair at IEEE CALCON 2024, Organized by Jadavpur University.
7. Acted as Lead Organizing Chair in International Conference on Data Science & Applications
(ICDSA 2022), Springer, India.
8. Invited as Session Chair in International Conference on Data Science & Applications (ICDSA
2022), Springer, India.

9. Special Session organizer and Session Chair in International Conference on Emerging
Technologies in Data Mining and Information Security (IEMIS), Organized by IEM, Kolkata,
2022.
ii. National:
10. Nominated to participate in the Conference on Implementation of NEP 2020 in West Bengal on
25-08-2026.
11. Invited as Speaker in the seminar in the Department of Computer Application, Narula Institute of
Technology, on the \"6th Anniversary of NEP 2020\" on 29th July, 2026 in collaboration with
the Institution\'s Innovation Council (IIC). 
12. Invited Speaker in FDP on “Harnessing the Power of Green AI, IoT and Cybersecurity for Society
6.0”, organized by Department of CSE, MAKAUT, WB and GNIT, Sodpur, supported by EICT
Academy, NIT Patna, under Meity, Govt. of India.
13. Invited Speaker in FDP on IoT Security, organized by Department of CSE, MAKAUT, WB,
under ISEA- Phase III, under MeitY, Govt. of India, March 04, 2025.
14. Invited Speaker in FDP on Application of Hybrid Intelligence : A New Age of Smart Technology,
organized by Department of Computer Application and Science, Institute of Engineering &
Management, Salt Lake, Kolkata, November, 2024.
15. Invited speaker in Two Weeks Short Term Course (STC) on “The Key Enabling Technologies for
5G Communications and Beyond”, 02.08.2021-13.08.2021, organized by Jaypee Institute of
Information Technology, JIIT, Noida.
16. Invited speaker in One Day Seminar on “Recent Trends in Internet of Things”, Organized by The
Institution of Engineers (India), Tripura State Centre jointly with Triura Institute of Technology,
6 th April, 2022.
17. Invited Lecture in a Webinar on “IoT in Healthcare: Issues and Challenges”, 4 th July, 2020,
organized by The Institution of Engineers (India), Tripura State Centre in association with
Electronics & Communication Engineering Department, Tripura Institute of Technology,
Agartala.
18. Invited talk in Webinar “IoT in Healthcare: Issues and Challenges”, Institution of Engineers
(India), Tripura, 30.06.2021.
19. Invited lecture in Webinar “IoT in Healthcare Application”, B P PODDER Institute of
Management & Technology, Kolkata, May 17-22, 2021.
20. Invited talk in Webinar “Internet of Things: Security and Application”, Computer Application
Department, Pailan College of Management & Technology, 23 rd May, 2020.
21. Invited lecture in Faculty Development Program, “Internet of Things: Challenges and
Application”, Department of Computational Science, Brainware University, 8 th June, 2020.
22. Invited speaker in Webinar on “Wireless Sensor Network: Recent Trends”, Department of
Computer Science & Engineering, Seacom Engineering, 19th June, 2020 .
23. Invited speaker in Webinar “Internet of Things: Research Trends and User Authentication Issues”,
Sarojini Naidu College, 15 th July, 2020.
d. Organized Conference Seminar/Workshop/Training Program/FDPs:
i. Lead Organizing Chair in International Conference on International Conference on Data
Science & Applications (ICDSA 2021).
ii. Coordinator of 1week AICTE ATAL, Faculty Development Program organized by
Department of Computer Science & Engineering, MAKAUT, WB., 2021, 2025.

iii. Coordinator of 1 week FDP on “Empowering Smart Healthcare with Deep Learning from
Data to Diagnosis”, 9-13 June,2025, Organized by EICT Academy, NIT Patna and
MAKAUT, WB., under MeitY, Govt of India.
iv. Program Coordinator in International Webinar on Internet of Things: Healthcare Application
and Cyber Security Challenges, MAKAUT, WB., 2020.
v. Program Coordinator in International Webinar on AI in Computational Genetics: Healthcare
Issues, MAKAUT, WB., 2020.
vi. Coordinator in One day workshop on “Application of Machine Learning and Security
Techniques in Smart Healthcare “, organized by Department of CSE, MAKAUT, WB. and
IUST, Jammu & Kashmir, funded by TEQIP III, MAKAUT, WB., December, 2020.
vii. Coordinator, TEQIP Sponsored faculty development program on \"Intelligent Computing\",
Department of CSE, MAKAUT, WB., September, 2020.

e. B.Tech/M.Tech Final Year Project Guidance:
 No.of PG(M.E/M.Tech) Theses supervised:40 (completed)
 No.of UG projects guided: 80 (completed)
UG/PG Project List:
M.Tech Project List:
1. Gourango Mondal, “Chronic Kidney Disease Prediction and Performance Evaluation Using
Machine Learning”, 2026.
2. Anusri Nag, “Performance Analysis of Machine Learning and Deep Learning Algorithms in
disease classification for Geriatric Healthcare Application”, 2025.
3. Soma Mukherjee, “Security Issues and Challenges in Wireless Body Area Networks for
Healthcare”, 2024.
4. Soumali Bandopadhyay, “Heart Disease Prediction Using Hybrid Ensemble Model”, 2023.
5. Sougata sarkar, “Weather Monitoring and Prediction System”, 2023.
6. Anubhab Pal, “Anomaly Intrusion Detection System in Smart Healthcare”, 2023.
B.Tech Project List:
i. Tanmoy Sarkar, “Plant Disease Detection and Classification and Severity analysis using AI”,
2026.
ii. Sumit Prasad, “A Lightweight Rule-Based Intrusion Detection System for IoT Environments”,
2026.
iii. Labani Sarkar, Chronic Kidney Disease Detection Using Machine Learning, 2026.
iv. Dhiraj Singh, “Crops Recommendation System Using Deep Learning & Machine learning”,
2026.
v. Swawon Mondal, “Complete Deep Reinforcement Learning Based Intrusion Detection System”,
2025.
vi. Sarbajit Saha, “Comparative Study of Machine Learning Models for Air Pollution Monitoring and
Health Risk Assessment Using Sensor Data”, 2025.
vii. Sudipa gayen, “Disease Prediction Through Human Activity Recognition (HAR): A Machine
Learning Approach”.
viii. Pragya Sharma, “Sensor Fusion based HAR and Smart Healthcare”, 2024.
ix. Soumodipta Mukherjee, “Indoor localization using Wi-Fi fingerprinting”, 2024.
x. Sudipa Gayen, “Study on application of Human Activity Recognition in Heart Disease
Prediction”, 2024.
xi. Arittro Dian, “Live and Stored Inertial Sensors Data Based HAR: Comparative Analysis”, 2023.
xii. Subhashis Ghoshal, “Implementation of Different Optimization Techniques in Wi-Fi
Fingerprinting for Smart Surveillance”, 2023.

xiii. Dhrubajyoti Pramanick, “Smart Parking Using Blockchain”, 2023.
xiv. Suman Sil, “IoT and Drone based Smart Surveillance System”, 2023.
f. Administrative responsibility:
1. Head of the Department, CSE for 2 years (2020-2022)
2. As Head of Department (HoD), led my academic unit through a comprehensive evaluation and
presentation in front of the visiting National Board of Accreditation (NBA) team in 2022,
accreditated for 3 years.
3. Member, PhD Committee, MAKAUT, WB.
4. Member, RAC Committee, Department of CSE, MAKAUT, WB.
5. Member, BoS, CSE Department, MAKAUT, WB.
6. Member, Sports Board, MAKAUT, WB.
7. Academic Council Member, 2020-2022.
8. Member, IQAC, MAKAUT, WB.
9. Member, NAAC Committee, MAKAUT, WB.
10. Research and Development Cell, MAKAUT, WB.
11. Member, Departmental Research Committee (DRC), CSE, MAKAUT, WB.
g. Development of e-learning delivery process/material
1. 1. Computer Network : Introduction and Overview – Module I, Uploaded in YouTube,
and included in NAAC related data.
2. Internet of Things :Applications, Security, Protocols & Trends- Module I , Uploaded in
YouTube on May 27, 2020, ,
and included in NAAC related data.
h. External expert in Selection Committee/BOS/Moderation etc.
1. External Moderator, Paper Setter in various colleges and universities in West Bengal.
2. Served as External Expert in Final year project evaluation of B.Tech, MCA, M.Tech of Computer
Science & Engineering Department, Jadavpur University.
3. Served as Invited External Expert in Ph.D. committee at Dept. of CSE, Jadavpur University.
4. Served as Invited External Expert in selection committee of research fellow at Dept. of CSE ,
Jadavpur University
5. Board of Studies Member in the Department of Computer Science & Applications (CSA) in
School of Engineering at Sister Nivedita University.
6. Invited External expert for final year project evaluation in various colleges and Universities.