Research output per year
Research output per year
Personal profile
About
Dr. Venkata Sriram Siddhardh Nadendla is an Assistant Professor of Computer Science at Missouri S&T since August 2018. Prior to joining Missouri S&T, he was a Postdoctoral Research Associate in the Coordinated Science Laboratory of University of Illinois at Urbana-Champaign. He received his B.E. in Electronics and Communication Engineering from SCSVMV University in Kanchipuram, India; M.S. in Electrical Engineering from Louisiana State University and Ph.D. in Electrical and Computer Engineering from Syracuse University. His research interests broadly span the field of trustworthy cyber-physical-human systems, with special focus on topics such as human-system interaction, statistical inference and machine learning, cognitive neuroscience, security, multi-agent systems, and algorithmic fairness.
Contact Information
325 Computer Science
573-341-4491
(573) 341-4090
Related documents
Education/Academic qualification
Ph.D. in Electrical and Computer Engineering, Syracuse University
2009 → 2016
M.S. in Electrical Engineering, Louisiana State University at Baton Rouge
2007 → 2009
B.E. in Electronics and Communication Engineering, SCSVMV University
2003 → 2007
External positions
Postdoctoral Research Associate, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign
Research Interests
- Statistical Inference and Machine Learning
- Trustworthy Cyber-Physical-Human Systems
- Algorithmic Fairness
- Strategic Information Design
- Multi-Agent Reputation
- Security and Privacy
- Cognitive Neuroscience
Disciplines
- Computer Sciences
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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On Countering Ransomware Attacks Using Strategic Deception
Neupane, R. L., Bhusal, B., Neupane, K., Regmi, P., Dinh, T., Marrero, L., Sayed, S. M., Nadendla, V. S. S. & Calyam, P., 2025, Decision and Game Theory for Security - 15th International Conference, GameSec 2024, Proceedings. Sinha, A., Fu, J., Zhu, Q. & Zhang, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-176 28 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14908 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-expert Stakeholders
Telukunta, M. & Nadendla, V. S. S., 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Revised Selected Papers. Meo, R. & Silvestri, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 245-260 16 p. (Communications in Computer and Information Science; vol. 2133 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks
Rawlins, C. C., Jagannathan, S. & Nadendla, V. S. S., Apr 15 2024, In: IEEE Internet of Things Journal. 11, 8, p. 14088-14099 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram
Lutes, N., Nadendla, V. S. S. & Krishnamurthy, K., Apr 1 2024, In: Scientific Reports. 14, 1, p. 8850 8850.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
Telukunta, M., Rao, S., Stickney, G., Nadendla, V. S. S. & Canfield, C., 2024, In: Proceedings of Machine Learning Research. 248, p. 683-695 13 p.Research output: Contribution to journal › Conference article › peer-review
Press/Media
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Missouri University of Science and Technology Researchers Update Current Data on Networks (Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram)
Krishnamurthy, K. & Nadendla, V. S. S.
5/2/24
1 item of Media coverage
Press/Media: Research