The EPIC Lab’s research on smart resource management for edge, IoT, and mobile devices develops intelligent, context‑aware, and energy‑efficient frameworks that enable robust operation under tight resource constraints. This work spans reinforcement‑learning based task offloading and resource allocation for energy‑harvesting edge systems, mobile‑network‑aware cloud offloading, and middleware architectures that adapt to user behavior, device context, and application demands. The lab has advanced data‑driven techniques for optimizing energy consumption, improving QoS for multimedia and voice applications, and enhancing reliability in low‑power wireless networks. Complementary contributions explore analytics‑driven energy management, secure cross‑platform mobile agents, and context‑aware optimization strategies that leverage spatiotemporal and device‑level information. Collectively, this research establishes a comprehensive foundation for scalable, secure, and energy‑aware edge and mobile computing systems capable of delivering high performance and long‑term resilience in real‑world environments.
Selected Publications
A. Islam, M. Ghose, S. Pasricha, “ An RL-based Framework for Task Offloading and Resource Allocation in Energy Harvesting-based Multi-Access Edge Computing”, IEEE Transactions on Network and Service Management, 2025.
S. Pasricha, Raid Ayoub, M. Kishinevsky, S. K. Mandal, U. Y. Ogras, “A Survey on Energy Management for Mobile and IoT Devices”, IEEE Design and Test, vol. 37, no. 5, pp. 7-24, Oct 2020
Q. Han, Y. Bao, S. Pasricha, “Improving Safety in Cyber Enabled Underground Mines”, 8th International Conference on Networking, Systems and Security (NSysS), December 21–23, 2021.
M. Adkins, Q. Han, S. Pasricha, “Quality-Aware Voice Convergecast in Mobile Low Power Wireless Networks”, IEEE International Conference on Mobile Computing, Applications and Services (MobiCASE), Hangzhou, China, June 14-15, 2019.
A. Khune, S. Pasricha, “Mobile Network-Aware Middleware Framework for Energy Efficient Cloud Offloading of Smartphone Applications”, IEEE Consumer Electronics, Vol. 8, Iss. 1, Jan 2019.
S. Pasricha, “Overcoming Energy and Reliability Challenges for IoT and Mobile Devices with Data Analytics,” IEEE International Conference on VLSI Design (VLSID), Pune, India, Jan 2018.
S. Tiku, S. Pasricha, “Energy-Efficient and Robust Middleware Prototyping for Smart Mobile Computing,” IEEE International Symposium on Rapid System Prototyping (RSP), Oct 2017.
S. Pasricha, J. Doppa, K. Chakrabarty, S. Tiku, D. Dauwe, S. Jin, P. Pande, “Data Analytics Enables Energy-Efficiency and Robustness: From Mobile to Manycores, Datacenters, and Networks”, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Oct 2017.
B. Donohoo, C. Ohlsen, S. Pasricha, “A Middleware Framework for Application-aware and User-specific Energy Optimization in Smart Mobile Devices”, Journal of Pervasive and Mobile Computing, vol. 20, pp. 47-63, Jul 2015.
B. Donohoo, C. Ohlsen, S. Pasricha, C. Anderson, Y. Xiang, “Context-Aware Energy Enhancements for Smart Mobile Devices”, IEEE Transactions on Mobile Computing (TMC), Vol 13, No. 8, pp. 1720-1732, Aug 2014.
B. Donohoo, C. Ohlsen, S. Pasricha, C. Anderson, “Exploiting Spatiotemporal and Device Contexts for Energy-Efficient Mobile Embedded Systems”, IEEE/ACM Design Automation Conference (DAC), Jul. 2012.
B. Donohoo, C. Ohlsen, S. Pasricha, “AURA: An Application and User Interaction Aware Middleware Framework for Energy Optimization in Mobile Devices”, IEEE International Conference on Computer Design (ICCD), Oct. 2011.
D. Jaramillo, V. Ugave, R. Smart, S. Pasricha, “A Secure Cross-Platform Hybrid Mobile Enterprise Voice Agent,” IEEE SoutheastCon, Mar 2014.
S. Pasricha, S. Mohapatra, M. Luthra, N. Dutt, N. Subramanian, “Co-optimization of Streaming Multimedia QoS and Backlight Power Consumption for Mobile Handheld Devices“, Special Issue Journal of Korean Multimedia Society (KSSM), Dec 2003