Deepak Gangadharan

About Me

I am an Assistant Professor at IIIT Hyderabad since September 2019. Prior to this, I have been a Postdoctoral Researcher at University of Pennsylvania working with Prof. Insup Lee and Prof. Oleg Sokolsky.

I obtained my PhD degree in School of Computing at National University of Singapore and was advised by Prof. Roger Zimmermann and Prof. Samarjit Chakraborty.

I got my BTech degree in Electronics and Communication from College of Engineering, Trivandrum, India.

Prior to my PhD, I worked as a Senior Design Engineer at Conexant Systems Inc.

Research Interests

• Scalable Design and Performance Analysis of Edge-based IoT systems
• Analysis and Design of Real-Time Systems/Cyber-Physical Systems
• Design Methodologies for Embedded Systems
• Intelligent Transportation Systems

Teaching

• Computer Systems Organization (Spring 2021-2026)
• Operating Systems and Networks (Monsoon 2026)
• Embedded Systems Workshop (Monsoon 2025-2026)
• Intro to Processor Architecture (Spring 2021-2025)
• Software Programming for Performance (Spring 2021)
• Real-Time Systems (Monsoon 2020-2022)
• Introduction to IoT (Spring 2020, 2022, 2023, Monsoon 2021)

Students

For the complete list of students and recent alumni, please visit the students page.

Publications

Book Chapter

• Hierarchical Scheduling - JinHyun Kim, Deepak Gangadharan, Kyong Hoon Kim, Insik Shin and Insup Lee. Handbook of Real-Time Computing, 2019.

Recent Journal Articles

• Reinforcement Learning for Traffic Signal Control - Saidulu Thadikamalla, Piyush Joshi and Deepak Gangadharan. The Journal of Supercomputing, 2025.
• Energy-Aware Operational Decisions for Automated Guided Vehicles - KyuJin Kyung et al. ITU Journal on Future and Evolving Technologies, 2025.
• Edge-Server Workload Characterization in Vehicular Computation Offloading - BaekGyu Kim and Deepak Gangadharan. IEEE Access, 2024.

Recent Conference Papers

• Performance Evaluation of Interoperability and Control Implementation for IoT-Based Smart Spaces - Sasidhar Varada et al. FiCloud, 2026.
• LMS-AR: LMS Prediction-based Adaptive Regulator - Sudarshan Srinivasan, Deepak Gangadharan and Dip Goswami. IEEE RTCSA, 2026.
• From GPU to Microcontroller: Online Ridge Regression for Edge-Deployable Traffic Prediction - Suresh Purini et al. IEEE ITSC, 2026.

Professional Service

Session Chair: IEEE Cloud 2018, IEEE VTC-Fall 2023

Program Committee: MOMAC 2016, IEEE Cloud 2018, IEEE BigMM 2020, IEEE MASS 2020, IEEE HiPC 2022, IEEE ANTS 2022-2023, IEEE SmartGridComm 2024, NG-RES 2025-2026

Conference Reviewer: IEEE ITSC 2026, IEEE CLOUD, RTSS 2017, EMSOFT 2017-2018, DAC 2013-2016, DATE 2013-2017, RTAS 2014, ASAP 2014, CODES+ISSS 2014

Journal Reviewer: IEEE Transactions on Multimedia, Pattern Recognition, IEEE TCAS, VLSI Design, ACM TECS, IEEE TCAD, ACM Computing Surveys, IEEE Computer