Deepak Gangadharan
Assistant Professor
IIIT Hyderabad
Address:
A5-303, Computer Systems Group
International Institute of Information Technology
Gachibowli, Hyderabad 500032, INDIA
Email: deepak.g AT iiit DOT ac DOT in
🎓 Accepting research students and interns! Please contact me if you find my research interesting.
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 on real-time systems and edge computing.
I obtained my PhD degree in School of Computing at National University of Singapore and was advised by leading researchers in real-time systems.
Prior to my PhD, I conducted research on Hardware-efficient reconfigurable architectures for image processing algorithms. I also worked as a Senior Design Engineer at Conexant Systems Inc., where I was involved in design and verification of ASIC and FPGA IP cores for optical communication protocols.
I obtained a Bachelor of Technology in Electronics and Communication from College of Engineering, Trivandrum, India.
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
- MOOC on oneM2M ⭐
- Computer Systems Organization (Spring 2021-2026)
- Embedded Systems Workshop (Monsoon 2025)
- 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
Sudarshan Srinivasan (2024 - ?)
Ashish Sharma (07/2023 - ?)
Pranav Kannan (CSD), K Pavan Kumar (ECD), Tejah S S (ECD), Arihant Jain (ECD), Sahil (ECD), Vedant Tejas (ECD), Aman Srivastava (CSD), Jayakanth M V (ECD)
Sai Usha Nagasri Goparaju (MS) - Edge-based Algorithm Innovations for Intelligent Transportation Systems (08/2021 - 06/2024)
SVSLN Surya Suhas Vaddhiparthy (MS) - Connected Vehicles & Vehicular Edge Computing (08/2021 - 06/2024)
Rahul Biju (MS) - Traffic Flow Forecasting (08/2022 - 06/2025)
Sridhar M (CS Dual) - Data Age Analysis in Real-Time Systems (2021-2024)
Joseph John Cherukara (CS Dual) - Resource Allocation for Vehicular Edge Computing (2021-2024)
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
