Charon: An End-to-End Infrastructure for Connecting AI@Edge to HPC
Kim, Y., Park, S., Perarnau, S., & Raj, A. (2025). "Charon: An End-to-End Infrastructure for Connecting AI@Edge to HPC." IPDPS, to be submitted.
CV
Education
- Ph.D. in Electrical Engineering (Specialization: Control Systems), Vanderbilt University, 2025 (expected)
- M.Tech in Electrical Engineering, IIT Kanpur, 2016
- B.Tech in Electronics and Instrumentation, CET Trivandrum, 2013
Work Experience
Fall 2021 - Present: Graduate Research Assistant
- Vanderbilt University
- Duties include: Designing and implementing a cyber-physical testbed for OT network emulation, developing Modbus TCP communication between SCADA controllers and field devices, and integrating AI agents for anomaly detection.
- Supervisor: Dr. Aniruddha Gokhale
Fall 2023: W.J. Cody Associate
- Argonne National Lab
- Duties include: Optimizing edge computational devices in HPC, developing a data processing algorithm, and publishing work at the IPDPS PAISE-2025 workshop.
- Supervisor: Dr. Swann Perarnau
Summer 2023: Student Sub-Contractor
- Argonne National Lab
- Duties include: Extending internship work to multiple applications, focusing on application-agnostic research, and improving power efficiency using reinforcement learning.
- Supervisor: Dr. Swann Perarnau
Summer 2022: W.J. Cody Associate
- Argonne National Lab
- Duties include: Optimizing HPC node performance and power consumption, developing reinforcement learning-based solutions, and testing on Skylake processors using Intel RAPL technology.
- Supervisor: Dr. Swann Perarnau
Summer 2021: Project Associate
- Indian Institute of Science, Bangalore
- Duties include: Developing a reinforcement learning-based intersection management algorithm for traffic control and parallelizing Python simulations for multi-core processors.
- Supervisor: Dr. Pavan Kumar Thallapragada
Skills
Reinforcement Learning
- Control of HPC devices
- Anomaly detection in cyber-physical systems
HPC Optimization
- Energy-efficient computing strategies
- Resource allocation for green computing
Programming Languages
- Python
- MATLAB
- Shell Script
Publications
Autonomous Cybersecurity Testbed for Operational Technology Networks
Raj, A., Das, S., Vardhan, H., Neema, H., Chhokra, A., & Balasubramanian, D. (2025). "Autonomous Cybersecurity Testbed for Operational Technology Networks." CPS-IoT Week, to be submitted.
An Offline Reinforcement Learning Based Approach For Performance Aware Power Reduction
Raj, A., Swann, P., & Gokhale, A. (2025). "An Offline Reinforcement Learning Based Approach For Performance Aware Power Reduction." HPDC, under review.
Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations
Raj, A., Canady, R.E., Das, S., Gokhale, A., & Perarnau, S. (2024). "Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations." 2024 16th International Conference on Communication Systems & NETworkS (COMSNETS), 568-571.
Application-Architecture Agnostic Efficiency Optimization using Reinforcement Learning
Raj, A., Perarnau, S., & Gokhale, A. (2024). "Application-Architecture Agnostic Efficiency Optimization using Reinforcement Learning." Community Workshop on Practical Reproducibility in HPC.
Controlling The Energy Efficiency of HPC Nodes - A Reinforcement Learning Based Approach
Raj, A., Swann, P., & Gokhale, A. (2023). "Controlling The Energy Efficiency of HPC Nodes - A Reinforcement Learning Based Approach." IC2E.
Distributed Adaptive State Estimation and Tracking Scheme for Nonlinear Systems using Active Passive Sensor Networks
Raj, A., Jagannathan, S., & Yucelen, T. (2020). "Distributed Adaptive State Estimation and Tracking Scheme for Nonlinear Systems using Active Passive Sensor Networks." 2020 American Control Conference (ACC), 2587-2592.
Distributed adaptive state estimation and tracking by using active-passive sensor networks
Raj, A., Jagannathan, S., & Yucelen, T. (2020). "Distributed adaptive state estimation and tracking by using active-passive sensor networks." International Journal of Adaptive Control and Signal Processing, 34(3), 330-353.
Object detection and recognition using small labeled datasets
Raj, A., Gandhi, K., Nalla, B.T., & Verma, N.K. (2019). "Object detection and recognition using small labeled datasets." Computational Intelligence: Theories, Applications and Future Directions, 407-419.
Event-triggered Adaptive Distributed State Estimation by Using Active-Passive Sensor Networks
Raj, A., Jagannathan, S., & Yucelen, T. (2019). "Event-triggered Adaptive Distributed State Estimation by Using Active-Passive Sensor Networks." 2019 American Control Conference (ACC), 4695-4700.
Distributed State Estimation by Using Active-Passive Sensor Networks
Raj, A., Jagannathan, S., & Yucelen, T. (2019). "Distributed State Estimation by Using Active-Passive Sensor Networks." 2019 American Control Conference (ACC), 4689-4694.
Object tracking with movement prediction algorithms
Raj, A., Sivaraman, A., Bhowmick, C., & Verma, N.K. (2016). "Object tracking with movement prediction algorithms." 2016 11th International Conference on Industrial and Information Systems (ICIIS), 285-290.
Face detection and recognition based on skin segmentation and CNN
Raj, A., Gupta, S., & Verma, N.K. (2016). "Face detection and recognition based on skin segmentation and CNN." 2016 11th International Conference on Industrial and Information Systems (ICIIS), 54-59.
Vision based object follower automated guided vehicle using compressive tracking and stereo-vision
Verma, N.K., Nama, P., Kumar, G., Siddhant, A., Raj, A., Dhar, N.K., & Salour, A. (2015). "Vision based object follower automated guided vehicle using compressive tracking and stereo-vision." 2015 IEEE Bombay Section Symposium (IBSS), 1-6.
Vision based obstacle avoidance and recognition system
Verma, N.K., Kumar, G., Siddhant, A., Nama, P., Raj, A., Mustafa, A., Dhar, N.K., & Salour, A. (2015). "Vision based obstacle avoidance and recognition system." 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), 1-7.