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Faculty Directory Dr. Piyali Datta
Dr. Piyali Datta

Dr. Piyali Datta

Associate Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

Ph.D., University of Calcutta, 2022

Research Areas

Human Computer Interaction Machine Learning Applications Algorithms design Brain Computer Interfacing

Research Interests

My research interests span Human–Computer Interaction (HCI), Machine Learning applications, algorithm design, and Brain–Computer Interfacing (BCI). I focus on designing intelligent, human-centered systems that integrate data-driven models with robust algorithmic frameworks for real-world problem solving. My work emphasizes interdisciplinary research combining signal processing, AI/ML, and computational intelligence for healthcare, assistive technologies, cyber-physical systems, and smart environments. I am particularly interested in adaptive interfaces, neurotechnology-driven interaction paradigms, and scalable algorithms that bridge theory with impactful practical applications across biomedical, industrial, and societal domains.

Courses Taught

Design and Analysis of Algorithms, Generative AI, Human Computer Interaction, Computer Graphics, Programming for Problem Solving in C

Positions Held

1. Associate Professor in Department of CSE(AIML), CSBS,
2. Programme-in-Charge of CSBS,
3. Centre in Charge of IEM-IIT Mandi Centre for Joint Research on Human Computer Interaction,
4. CoPI of project CHETNA by DISHA 2.0 (DST supported project under National Mission on Interdisciplinary Cyber Physical Systems),
5. PI of Grant-in-Aid project by IEM-UEM Group
6. IQAC SPoC of CSE(AIML), CSBS Department,
7. Examination SPoC of CSBS Department

Publications

1. B Guha Roy, D Guha Roy, P Datta, SB Khan, A Albuali, Quality of Experience Aware Service Selection Model to Empower Edge Computing in IoT, International Journal of Distributed Sensor Networks, 2025 2. BG Roy, DG Roy, P Datta, SB Khan, A Alshuhail, Proactive Zero-Trust Intrusion Detection for Consumer IoT Applications using Lightweight Ensemble Learning with Anomaly Analysis, IEEE Transactions on Consumer Electronics, 2025 3. A Sarkar, D Guha Roy, P Datta, STAT-X: short-term atmospheric temperature forecasting using machine learning models with explainable-AI, Theoretical and Applied Climatology, 2025 4. Majumdar, R., Datta, P., Chowdhury, S., and Pal, R.K., 2024. Advancement with Digital Microfluidic Biochips towards Sustainability and Secured Outcome: a Comprehensive Survey on Specific Design Metrics, Discover Electronics, Springer Nature (accepted). 5. Datta, P., Chakraborty, A., and Pal, R.K., 2023. Attack-Detection and -Recovery: An Integrated Approach Towards Attack-Tolerant Cyber-Physical Digital Microfluidic Biochips, IETE Journal of Research, DOI: 10.1080/03772063.2022.2150700 6. Datta, P., Chakraborty, A. and Pal, R.K., 2021. An Integrated Codesign of Flow based Biochips Considering Flow Control Design Issues and Objectives. IETE Journal of Research, 69(6), pp. 3165-3182, DOI: 10.1080/03772063.2021.1919220 7. Datta, P., Chakraborty, A. and Pal, R.K., 2020. A Predictive Model for Fluid-Control Codesign of Paper-Based Digital Biochips Following a Machine Learning Approach. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 28(12), pp.2584- 2597. 8. Datta, P., Chakraborty, A. and Pal, R.K., 2020. Design Optimization for Programmable Microfluidic Devices Integrating Contamination Removal and Capacity-Wastage-Aware Washing. IETE Journal of Research, 66(6), pp.781-796. 9. Chowdhury, S., Datta, P., Pal, R.K., and Saha G., 2021. An Efficient Multiple Fault Detection Technique in Digital Microfluidic Biochips, IETE Journal of Research, 67:6, 899-912, DOI: 10.1080/03772063.2019.1571954 10. Chakraborty, A., Datta, P. and Pal, R.K., 2019. Fluid-level Synthesis Unifying Reliability, Contamination Avoidance, and Capacity-Wastage-Aware Washing for Droplet-based Microfluidic Biochips. IET Computers & Digital Techniques, 13(3), pp. 166-177. 11. Chakraborty, A., Datta, P. and Pal, R.K., 2018. A New Fluid-Chip Co-Design for Digital Microfluidic Biochips Considering Cost Drivers and Design Convergence. IEEE Transactions on Multi-Scale Computing Systems, 4(4), pp. 548-564. 12. Chakraborty, A., Datta, P. and Pal, R.K., 2018. A Low-Cost Fluid-level Synthesis for Droplet-based Microfluidic Biochips Integrating Design Convergence, Contamination Avoidance, and Washing. Design Automation for Embedded Systems, Springer, 22(4), pp. 315-346. 13. Dhal, D., Datta, P., Chakraborty, A., Saha, G. and Pal, R.K., 2016. Multiple Parallel Assay Operations with Cross Contamination Avoidance in a Given Biochip. IET Computers & Digital Techniques, 10(5), pp. 243-253.