Shreyas Ramakrishna is a graduate student in the Department of Electrical Engineering at Vanderbilt University, and works as a research assistant at the Institute for Software Integrated Systems. He received his M.S. degree in Electrical Engineering from Technical University Kaiserslautern (Germany) in June 2015 and completed his undergraduate studies in Electrical engineering from Visvesvaraya Technological University, India in 2012.

“Shreyas Ramakrishna Publications

  1. C. Hartsell, S. Ramakrishna, A. Dubey, D. Stojcsics, N. Mahadevan, and G. Karsai, ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems, in 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021, 2021.
  2. S. Ramakrishna, Z. RahimiNasab, G. Karsai, A. Easwaran, and A. Dubey, Efficient Out-of-Distribution Detection Using Latent Space of β-VAE for Cyber-Physical Systems, ACM Trans. Cyber-Phys. Syst., 2021.
  3. S. Ramakrishna, C. Harstell, M. P. Burruss, G. Karsai, and A. Dubey, Dynamic-weighted simplex strategy for learning enabled cyber physical systems, Journal of Systems Architecture, vol. 111, p. 101760, 2020.
  4. V. Sundar, S. Ramakrishna, Z. Rahiminasab, A. Easwaran, and A. Dubey, Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE, in 2020 IEEE Security and Privacy Workshops (SPW), Los Alamitos, CA, USA, 2020, pp. 250–255.
  5. S. Ramakrishna, C. Hartsell, A. Dubey, P. Pal, and G. Karsai, A Methodology for Automating Assurance Case Generation, in Thirteenth International Tools and Methods of Competitive Engineering Symposium (TMCE 2020), 2020.
  6. C. Hartsell, N. Mahadevan, S. Ramakrishna, A. Dubey, T. Bapty, T. T. Johnson, X. D. Koutsoukos, J. Sztipanovits, and G. Karsai, Model-based design for CPS with learning-enabled components, in Proceedings of the Workshop on Design Automation for CPS and IoT, DESTION@CPSIoTWeek 2019, Montreal, QC, Canada, 2019, pp. 1–9.
  7. M. P. Burruss, S. Ramakrishna, G. Karsai, and A. Dubey, DeepNNCar: A Testbed for Deploying and Testing Middleware Frameworks for Autonomous Robots, in IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019, Valencia, Spain, May 7-9, 2019, 2019, pp. 87–88.
  8. S. Ramakrishna, A. Dubey, M. P. Burruss, C. Hartsell, N. Mahadevan, S. Nannapaneni, A. Laszka, and G. Karsai, Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots, in IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019, Valencia, Spain, May 7-9, 2019, 2019, pp. 108–117.
  9. C. Hartsell, N. Mahadevan, S. Ramakrishna, A. Dubey, T. Bapty, T. T. Johnson, X. D. Koutsoukos, J. Sztipanovits, and G. Karsai, CPS Design with Learning-Enabled Components: A Case Study, in Proceedings of the 30th International Workshop on Rapid System Prototyping, RSP 2019, New York, NY, USA, October 17-18, 2019, 2019, pp. 57–63.
  10. C. Hartsell, N. Mahadevan, S. Ramakrishna, A. Dubey, T. Bapty, and G. Karsai, A CPS toolchain for learning-based systems: demo abstract, in Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2019, Montreal, QC, Canada, 2019, pp. 342–343.