Published in ACM, 2025
This paper presents “Charon”, an end-to-end infrastructure for connecting AI at the edge to HPC, presented at IPDPS 2025.
Recommended citation: 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.
Published in CPS-IoT Week, 2025
This paper discusses the development of an autonomous cybersecurity testbed for OT networks, to be presented at CPS-IoT Week 2025.
Recommended citation: 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.
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Published in ACM, 2025
This paper presents an offline reinforcement learning-based approach for performance-aware power reduction, under review at HPDC 2025.
Recommended citation: Raj, A., Swann, P., & Gokhale, A. (2025). "An Offline Reinforcement Learning Based Approach For Performance Aware Power Reduction." HPDC, under review.
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Published in IEEE, 2024
This paper focuses on reinforcement learning-based performance-aware energy management in 5G base stations, presented at COMSNETS 2024.
Recommended citation: 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.
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Published in Community Workshop on Practical Reproducibility in HPC, 2024
This paper introduces an application-architecture agnostic approach for efficiency optimization using reinforcement learning, presented at the Community Workshop on Practical Reproducibility in HPC 2024.
Recommended citation: Raj, A., Perarnau, S., & Gokhale, A. (2024). "Application-Architecture Agnostic Efficiency Optimization using Reinforcement Learning." Community Workshop on Practical Reproducibility in HPC.
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Published in IEEE, 2023
This paper discusses a reinforcement learning-based approach for controlling the energy efficiency of HPC nodes, presented at “IC2E 2023”.
Recommended citation: Raj, A., Swann, P., & Gokhale, A. (2023). "Controlling The Energy Efficiency of HPC Nodes - A Reinforcement Learning Based Approach." IC2E.
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Published in IEEE, 2020
This paper proposes a distributed adaptive state estimation and tracking scheme for nonlinear systems using active-passive sensor networks, published in “2020 American Control Conference (ACC)”.
Recommended citation: 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.
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Published in Wiley Online Library, 2020
This paper presents an approach for distributed adaptive state estimation and tracking using active-passive sensor networks, published in “International Journal of Adaptive Control and Signal Processing”.
Recommended citation: 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.
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Published in Springer, 2019
This paper discusses object detection and recognition using small labeled datasets, published in “Computational Intelligence: Theories, Applications and Future Directions”.
Recommended citation: 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.
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Published in IEEE, 2019
This paper discusses event-triggered adaptive distributed state estimation using active-passive sensor networks, presented at the “2019 American Control Conference (ACC)”.
Recommended citation: 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.
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Published in IEEE, 2019
This paper presents a distributed state estimation method using active-passive sensor networks, presented at the “2019 American Control Conference (ACC)”.
Recommended citation: Raj, A., Jagannathan, S., & Yucelen, T. (2019). "Distributed State Estimation by Using Active-Passive Sensor Networks." 2019 American Control Conference (ACC), 4689-4694.
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Published in IEEE, 2016
This paper discusses object tracking with movement prediction algorithms, published at the “2016 11th International Conference on Industrial and Information Systems (ICIIS)”.
Recommended citation: 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.
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Published in IEEE, 2016
This paper presents a face detection and recognition system based on skin segmentation and CNN, published in the “2016 11th International Conference on Industrial and Information Systems (ICIIS)”.
Recommended citation: 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.
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Published in IEEE, 2015
This paper presents a vision-based object follower automated guided vehicle using compressive tracking and stereo-vision, published at “2015 IEEE Bombay Section Symposium (IBSS)”.
Recommended citation: 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.
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Published in IEEE, 2015
This paper proposes a vision-based obstacle avoidance and recognition system, presented at the “2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI)”.
Recommended citation: 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.
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