Bio

I received my Ph.D in Computer Engineering from Virginia Tech. I completed my M.S. in Electrical Engineering from Wright State University and my B.E. in Electronics Engineering from University of Pune.

My research interests: Secure, Trusted, & Resilient Computing, Hardware Acceleration (FPGAs and GPUs), Deep Learning.

A word cloud generated from my papers:

Patents

  1. "Deep Convolutional Neural Networks for Crack Detection from Image Data", US20190147283A1
  2. Material detection systems, US20170227673A1
  3. Multi-modal Sensor Data Fusion for Perception Systems, US20170371329A1
  4. Sensor Data Fusion for Prognostics and Health Monitoring, WO2016100816A1
  5. Smoke Detection Methodology, WO2017218763A1
  6. Method and system for designing electrical machines using reinforcement learning, US20190332725A1
  7. Surface plasmon resonance gas detection system, WO2019217792A1
  8. Control systems using deep reinforcement learning, US20180129974A1

Journals

  1. V. Venugopalan and C. D. Patterson, "Surveying the Hardware Trojan Threat Landscape for the Internet-of-Things",Springer Journal of Hardware and Systems Security, 2(2):131–141, Jun 2018
  2. S. Sarkar, V. Venugopalan, K. Reddy, J. Ryde, N. Jaitly, and M. Giering, "Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames", Journal of Signal Processing Systems, 88(2):205–217, Aug 2016.

Conference proceedings

  1. M. French, M. Paolieri, V. Menon, A. Schmdit, "Emulating and Verifying Sensing, Computation, and Communication in Distributed Remote Sensing Systems", IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, 2020
  2. V. V. Menon, G. Kolhe, J. Fifty, A. Schmidt, J. Monson, M. French, Y. Hu, P. Beerel, and P. Nuzzo, "Logic Obfuscation: Modeling Attack Resiliency", GOMACTech Conference 2020
  3. V. V. Menon, G. Kolhe, A. Schmidt, J. Monson, M. French, Y. Hu, P. Beerel, and P. Nuzzo, "System-Level Framework for Logic Obfuscation with Quantified Metrics for Evaluation", IEEE Secure Development Conference 2019
  4. Andrew Schmidt, Vivek Venugopalan, Marco Paolieri, and Matthew French, "Constellations in the Cloud: Virtualizing Remote Sensing Systems", IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019
  5. V. Venugopalan, G. Kolhe, A. Schmidt, J. Monson, M. French, Y. Hu, P. Beerel, and P. Nuzzo, "Quantifying Security and Overheads for Obfuscation of Integrated Circuits", GOMACTech Conference 2019
  6. P. Kshirsagar and V. Venugopalan, "Thin Wing EMA – System on Chip with Synchronized TRust and Assurance (SaSTRA)", GOMACTech Conference 2019
  7. V. Venugopalan and C. D. Patterson, "Architectural Refinements for Enhancing Trust and Securing Cyber-Physical Systems", IEEE International Conference on Advanced and Trusted Computing (ATC), pp. 1509–1516, San Francisco, CA, August 2017.
  8. V. Venugopalan, C. D. Patterson, and D. M. Shila. "Detecting and Thwarting Hardware Trojan Attacks in Cyber-Physical Systems". In: 2016 IEEE Conference on Communications and Network Security (CNS): International Workshop on Cyber-Physical Systems Security (CPS-Sec). Oct. 2016.
  9. K. Reddy, S. Sarkar, V. Venugopalan, and M. Giering. "Anomaly Detection and Fault Disambiguation in Large Flight Data: A Multi-modal Deep Autoencoder Approach". In: Annual Conference of the Prognostics and Health Management Society. [Best Paper Nomination]. Oct. 2016, pp. 207–214.
  10. K. Reddy, V. Venugopalan, and M. Giering. "Applying Deep Learning for Prognostic Health Monitoring of Aerospace and Building Systems". In: 1st ACM SIGKDD Workshop on Machine Learning for Prognostics and Health Management (ML for PHM 2016). Aug. 2016.
  11. K. Reddy, S. Sarkar, V. Venugopalan, and M. Giering. "Anomaly Detection and Fault Classification in Large Flight Data using Multi-modal Deep Learning Approaches". In: 1st International Conference on InfoSymbiotics /Dynamic Data Driven Applications Systems (DDDAS). Aug. 2016.
  12. D. M. Shila, V. Venugopalan, and C. D. Patterson. "Unraveling the Security Puzzle: A Distributed Framework to Build Trust in FPGAs". In: International Conference on Network and System Security. Vol. 9408. Lecture Notes in Computer Science. [Best Paper Award]. Springer International Publishing, Nov. 2015, pp. 95–111. isbn: 978-3-319-25644-3.
  13. M. Giering, V. Venugopalan, and K. Reddy. "Multi-Modal Sensor Registration for Vehicle Perception via Deep Neural Networks". In: IEEE High Performance Extreme Computing Conference (HPEC), Sept. 2015, pp. 1–6.
  14. D.M. Shila, V. Venugopalan, and C.D. Patterson. "FIDES: Enhancing trust in reconfigurable based hardware systems". In: IEEE High Performance Extreme Computing Conference (HPEC), Sept. 2015, pp. 1–7.
  15. V. Venugopalan and C. Tokgoz. "GPU acceleration of iterative physical optics-based electromagnetic simulations". In: IEEE High Performance Extreme Computing Conference (HPEC), Sept. 2015, pp. 1–6.
  16. V. Venugopalan. "Evaluating latency and throughput bound acceleration of FPGAs and GPUs for adaptive optics algorithms". In: IEEE High Performance Extreme Computing Conference (HPEC), Sept 2014, pp. 1–6.
  17. S. Sarkar, V. Venugopalan, K. Reddy, M. Giering, J. Ryde, and N. Jaitly. "Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks". In: eprint: 1412.7007. url: http://arxiv.org/abs/ 1412.7007.Dec. 2014
  18. D. M. Shila and V. Venugopalan. "Design, implementation and security analysis of Hardware Trojan Threats in FPGA". In: IEEE International Conference on Communications (ICC), June 2014, pp. 719–724.
  19. V. Venugopalan and S. Kannan. "Accelerating real-time LiDAR data processing using GPUs". In: IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS)Aug. 2013, pp. 1168–1171.
  20. C. Tokgoz and V. Venugopalan. "GPU Accelerated Iterative Physical Optics to Predict RF Propagation in Urban Environments". In: IEEE Antennas and Propagation Society International Symposium (APSURSI), July 2013, pp. 1878–1879.
  21. V. Venugopalan and D. M. Shila. "High throughput implementations of cryptography algorithms on GPU and FPGA". In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2013, pp. 723–727.
  22. K. George and V. Venugopalan. "Design and performance measurement of a high-performance computing cluster". In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2012, pp. 2531– 2536.
  23. V. Venugopalan, K. Richards, S. Barden, T. Rimmele, S. Gregory, and L. Johnson. "Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures". In: International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA), July 2011, pp. 296–301.
  24. V. Venugopalan, C. D. Patterson, and K. A Shinpaugh. "Accelerating Particle Image Velocimetry Using Hybrid Architectures". In: Symposium on Application Accelerators in High-Performance Computing (SAAHPC), July 2009.
  25. J. H. Simonetti, S. W. Ellingson, C. D. Patterson, W. Taylor, V. Venugopalan, S. Cutchin, and Z. Boor. "The Eight-meter-wavelength Transient Array (ETA)". In: Bulletin of the American Astronomical Society 207th Meeting. Vol. 37. 4. Washington, DC, Jan. 2006, p. 1438.
  26. K. H. Abed, V. Venugopalan, and S. B. Nerurkar. "High speed digital filter design using minimal signed digit representation". In: IEEE SoutheastCon, 2005, pp. 105–110.
  27. V. Venugopalan, K. H. Abed, and S. B. Nerurkar. "Design and implementation of a decimation filter for hearing aid applications". In: IEEE SoutheastCon, 2005, pp. 111–115.
  28. V. Venugopalan, K. H. Abed, R. E. Siferd, and S. Nerurkar. "Hardware efficient narrow band FIR filter". In: The 2002 45th Midwest Symposium on Circuits and Systems, (MWSCAS-2002), Vol. 2. 2002, pp. 223–226.
  29. S. B. Nerurkar, K. H. Abed, R. E. Siferd, and V. Venugopalan. "Low power sigma delta decimation filter". In: The 2002 45th Midwest Symposium on Circuits and Systems, (MWSCAS-2002), Vol. 1. 2002, I–647-50 vol.1.

Posters

  1. V. Venugopalan and C. Tokgoz. "GPU Acceleration of Computational Electromagnetics Methods", In: NVIDIA GPU Technology Conference, April 2016.
  2. V. Venugopalan, K. Reddy, and M. Giering. "Applying Deep Learning to Aerospace and Building System Applications at UTC", In: NVIDIA GPU Technology Conference, April 2016.
  3. D. M. Shila and V. Venugopalan. "Design, Implementation and Security Analysis of Hardware Trojan Threats in FPGA", In: Proceedings of the 2014 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. FPGA '14, Feb. 2014
  4. J. Lamberti, D. M. Shila, and V. Venugopalan. "xDEFENSE: An Extended DEFENSE for Mitigating Next Generation Intrusions", In: Proceedings of the 2014 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. FPGA '14, Feb. 2014
  5. V. Venugopalan and D. M. Shila. "Hardware acceleration of TEA and XTEA algorithms on FPGA, GPU and multi-core processors". In: Proceedings of the ACM/SIGDA International Symposium on Field Programmable Gate Arrays. FPGA '13, Feb. 2013.
  6. V. Venugopalan. "Accelerating Real-Time Processing of the ATST Adaptive Optics System", In: NVIDIA GPU Technology Conference, March 2012. Also submitted by NVIDIA as showcased research at the Accelerating Computational Science Symposium (ACSS) from March 29-30 2012 in Washington DC.
  7. V. Venugopalan. "Accelerating Particle Image Velocimetry Algorithms for Biomedical Applications", In: 24th GSA Research Symposium at Virginia Tech, 2008. [Runner-up prize for poster presentation (Engineering)]
  8. V. Venugopalan. "Reconfigurable FPGA-based Clusters: Next Step in Supercomputing", In: 23rd GSA Research Symposium at Virginia Tech, 2007. [First prize for poster presentation (Engineering)]

Invited Talks

  1. S. Sarkar, V. Venugopalan, K. Reddy, M. Giering, J. Ryde, and N. Jaitly. "RGBD Occlusion Detection via Deep Convolutional Neural Networks". In: NVIDIA GPU Technology Conference, April 2015.
  2. D. M. Shila, V. Venugopalan, and B. Murray. "A Multi-parameter Detection Scheme to Seek Stealthy Hardware Trojan Threats in FPGAs". In: Society of Automotive Engineers (SAE) International conference - CyberSecurity for Cyber-Physical Vehicle Systems workshop, April 2014. [Best Presentation Award]
  3. Vivek Venugopalan. "Real-time Control for the Advanced Technology Solar Telescope", In: Adaptive Optics Real-time Control system workshop (AO RTC Workshop 2011). Durham, UK, April 2011.