Under Review and Working Papers

  1. M. Telukunta, V. S. S. Nadendla, Morgan Stuart, and Casey Canfield, "Public Perception of Fairness in Regression-based Predictive Models for Kidney Transplantation," Submitted to Machine Learning for Healthcare Conference (MLHC’25), 2025

In Press

  1. Q. Zhang, V. S. S. Nadendla, S. N. Balakrishnan, and J. Busemeyer, "Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models," Accepted to IEEE Transactions on Human-Machine Systems, 2025

Journals

  1. N. Lutes, V. S. S. Nadendla, and K. Krishnamurthy, “Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware,” in Journal of Neural Engineering, 2025
  2. N. Lutes, V. S. S. Nadendla, and K. Krishnamurthy, “Convolutional Spiking Neural Networks for Intent Detection based on Anticipatory Brain Potentials using Electroencephalogram,” in Scientific Reports (Nature Portfolio), 2024
  3. C. Rawlins, J. Sarangapani, and V. S. S. Nadendla, “A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks,” in IEEE Internet of Things Journal, 2023
  4. A. Alsafasfeh, L. Alagha, A. Alzidaneen, and V. S. S. Nadendla, "Optimization of Flotation Efficiency of Phosphate Minerals in Mine Tailings using Polymeric Depressants: Experiments and Machine Learning,"" Physicochemical Problems of Mineral Processing, vol. 58, no. 4, 2022
  5. R. Assaad, M. O. Ahmed, I. H. El-Adaway, A. Elsayegh, and V. S. S. Nadendla, "Comparing the Impact of Learning in Bidding Decision-Making Processes Using Algorithmic Game Theory," Journal of Management in Engineering, vol. 37, p. 04020099, Jan 2021
  6. A. Pratap, R. Gupta, V. S. S. Nadendla, and S. K. Das, "Bandwidth-Constrained Task Throughput Maximization in IoT-enabled 5G Networks," Pervasive and Mobile Computing, vol. 69, p. 101281, Nov 2020
  7. A. U. Rehman, T. Lyche, K. Awuah-Offei, and V. S. S. Nadendla, "Effect of Text Message Alerts on Miners’ Evacuation Decisions," Safety Science, vol. 130, October 2020
  8. V. S. S. Nadendla, C. Langbort, and T. Ba¸sar, "Effects of Subjective Biases on Strategic Information Transmission," IEEE Trans. on Comm., vol. 66, pp. 6040–6049, Dec 2018
  9. V. S. S. Nadendla, V. Sharma, and P. K. Varshney, "On Strategic Multi-Antenna Jamming in Centralized Detection Networks," IEEE Signal Processing Letters, vol. 24, pp. 186–190, Feb 2017
  10. V. S. S. Nadendla, S. K. Brahma, and P. K. Varshney, "Optimal Spectrum Auction Design With 2-D Truthful Revelations Under Uncertain Spectrum Availability," IEEE/ACM Trans. on Networking, vol. 25, pp. 420–433, Feb 2017
  11. V. S. S. Nadendla and P. K. Varshney, "Design of Binary Quantizers for Distributed Detection Under Secrecy Constraints," IEEE Trans. on Signal Proc., vol. 64, pp. 2636–2648, May 2016.
  12. B. Kailkhura, V. S. S. Nadendla, and P. K. Varshney, "Distributed Inference in the Presence of Eavesdroppers: A Survey," IEEE Comm. Magazine, vol. 53, pp. 40–46, June 2015
  13. V. S. S. Nadendla, Y. S. Han, and P. K. Varshney, "Distributed Inference With M-Ary 3 Quantized Data in the Presence of Byzantine Attacks," IEEE Trans. on Signal Processing, vol. 62, pp. 2681–2695, May 2014

Peer-Reviewed Conferences and Workshop Papers

  1. R. L. Neupane, B. Bhusal, K. Neupane, P. Regmi, T. Dinh, L. Marrero, S. M. Saghaian NE, V. S. S. Nadendla, and P. Calyam, "On Countering Ransomware Attacks using Strategic Deception," in International Conference on Game Theory and Security (GameSec 2024) (Best Paper Award), 2024
  2. D. E. M. Brown, V. S. S. Nadendla, and S. K. Das, "TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion," in IEEE International Conference on Smart Computing (SmartComp 2024) (Best Paper Award), 2024
  3. M. Telukunta, S. Rao, G. Stickney, V. S. S. Nadendla, and C. Canfield, "Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement," in Conference on Health, Inference, and Learning (CHIL 2024), 2024.
  4. C. Rawlins, J. Sarangapani, and V. S. S. Nadendla, "A Reputation System for Distributed Intelligent Blockchain Decision-Making," in The Fifth International Conference on Blockchain Computing and Applications (BCCA2023), 2023
  5. M. Telukunta and V. S. S. Nadendla, "Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders," in 3rd Workshop on Bias and Fairness in AI (BIAS’23) at ECML-PKDD Conference, 2023
  6. S. Sanga, V. S. S. Nadendla, M. Telukunta, and S. K. Das, "Maximizing Social Welfare in Selfish Multi-Modal Routing using Strategic Information Design for Quantal Response Travelers," in The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), 2023
  7. S. Roy, P. Roy, V. S. S. Nadendla, and S. K. Das, "Influence Spread Control in Complex Networks via Removal of Feed Forward Loops," in International Conference on Computer Communications and Networks (ICCCN'21), pp. 1–9, IEEE, 2021
  8. S. Sanga and V. S. S. Nadendla, "On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation," in AAMAS Workshop on Autonomous Agents for Social Good (AASG’21), 2021
  9. V. S. S. Nadendla and L. R. Varshney, "A Diffculty in Controlling Blockchain Mining Costs via Cryptopuzzle Diffculty," in 3rd International Conference on Blockchain and Cryptocurrency (ICBC'21), 2021.
  10. M. Telukunta and V. S. S. Nadendla, "On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion," in FAccTRec-2020, September 2020.
  11. M. Devaguptapu and V. S. S. Nadendla, "On Task Decision Processes based on Discounted Satisficing Heuristic Employed by Crowd Workers," in 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP'19), October 2019. Work-in-Progress Paper
  12. A. Pratap, F. Concone, V. S. S. Nadendla, and S. K. Das, “Three-Dimensional Matching Based Resource Provisioning for the Design of Low-Latency Heterogeneous IoT Networks,” in Proc. of the 22nd Intl. ACM Conf. on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM ’19), p. 79–86, 2019
  13. A. Pratap, R. Gupta, V. S. S. Nadendla, and S. K. Das, “On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints,” in IEEE Intl. Conf. on Smart Computing (SMARTCOMP ’19) , pp. 217–224, June 2019
  14. V. S. S. Nadendla and C. Langbort, “On Estimating Multi-Attribute Choice Preferences using Private Signals and Matrix Factorization,” in 52nd Annual Conf. on Information Sciences and Systems (CISS'18), pp. 1–6, March 2018
  15. V. S. S. Nadendla, E. Akyol, C. Langbort, and T. Ba¸sar, “Strategic Communication between Prospect Theoretic Agents over a Gaussian Test Channel,” in 2017 IEEE Military Communications Conference (MILCOM'17), pp. 109–114, Oct 2017
  16. V. S. S. Nadendla, S. Brahma, and P. K. Varshney, “Towards the Design of Prospect-Theory based Human Decision Rules for Hypothesis Testing,” in 54th Annual Allerton Conf. on Communication, Control, and Computing (Allerton'16), pp. 766–773, Sep. 2016
  17. V. S. S. Nadendla, S. Liu, and P. K. Varshney, “Design of Transmit-Diversity Schemes in Detection Networks under Secrecy Constraints,” in 53rd Annual Allerton Conf. on Communication, Control, and Computing (Allerton'15), pp. 794–801, Sep. 2015
  18. V. S. S. Nadendla, Y. S. Han, and P. K. Varshney, “Information-Dispersal Games for Security in Cognitive-Radio Networks,” in 2015 IEEE Intl. Symp. on Information Theory (ISIT'15), pp. 1600–1604, June 2015
  19. R. El-Bardan, V. S. S. S. Nadendla, S. Brahma, and P. K. Varshney, “On ARQ-based Wireless Communication Systems in the Presence of a Strategic Jammer,” in 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP'14), pp. 273–277, Dec 2014
  20. V. S. S. Nadendla, S. Brahma, and P. K. Varshney, “A Bilateral-Market based Mechanism for Spectrum Allocation in Cognitive Radio Networks,” in 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'13), pp. 444–447, Dec 2013
  21. A. Vempaty, V. S. S. Nadendla, and P. K. Varshney, “Further Results on Noise-Enhanced Distributed Inference in the Presence of Byzantines,” in 16th International Symposium on Wireless Personal Multimedia Communications (WPMC'13), pp. 1–5, June 2013
  22. V. S. S. Nadendla, S. Brahma, and P. K. Varshney, “An Auction-Based Mechanism for Dynamic Spectrum Allocation in Participatory Cognitive Radio Networks,” in 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton'12), pp. 2120– 2126, Oct 2012
  23. V. S. S. Nadendla, H. Chen, and P. K. Varshney, “Minimax Games for Cooperative Spectrum Sensing in a Centralized Cognitive Radio Network in the Presence of Interferers,” in 2011 IEEE Military Communications Conference (MILCOM'11), pp. 1256–1260, Nov 2011
  24. M. Gagrani, P. Sharma, S. Iyengar, V. S. S. Nadendla, A. Vempaty, H. Chen, and P. K. Varshney, “On Noise-Enhanced Distributed Inference in the Presence of Byzantines,” in 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton'11), pp. 1222–1229, Sep. 2011
  25. M. Naraghi-Pour and V. S. S. Nadendla, “Secure Detection in Wireless Sensor Networks using a Simple Encryption Method,” in 2011 IEEE Wireless Communications and Networking Conference (WCNC'11), pp. 114–119, March 2011
  26. V. S. S. Nadendla, H. Chen, and P. K. Varshney, “On Jamming Models against Collaborative Spectrum Sensing in a Simple Cognitive Radio Network,” in 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers (ASILOMAR'10), pp. 961–965, Nov 2010
  27. V. S. S. Nadendla, H. Chen, and P. K. Varshney, “Secure Distributed Detection in the Presence of Eavesdroppers,” in 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers (ASILOMAR'10), pp. 1437–1441, Nov 2010

Talks

Workshops (Abstracts Published)

  1. S. Sanga and V. S. S. Nadendla, "On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation," in AAMAS Workshop on Autonomous Agents for Social Good (AASG'21), 2021
  2. On the Effects of Subjective Biases on Strategic Information Transmission between Human Agents, Midwest Workshop on Control and Game Theory, Lansing, MI, April 28, 2018
  3. Strategic Communication between Prospect Theoretic Agents over a Gaussian Test Channel, Midwest Workshop on Control and Game Theory, Ann Arbor, MI, April 21, 2017.
  4. Optimal Spectrum Auction Design with Two-Dimensional Truthful Revelations under Uncertain Spectrum Availability, Nunan Day Workshop, Syracuse, April 5, 2016. (Best poster award in EECS dept.)
  5. Secure Distributed Inference in the Presence of Eavesdroppers, Nunan Day Workshop, Syracuse, April 6, 2015. (Best poster award in EECS dept.)
  6. Auction-based mechanism for joint spectrum sensing and allocation in cognitive radio networks, Nunan Day Workshop, Syracuse, April 6, 2013.
  7. Distributed Detection in the Presence of Eavesdroppers, DIMACS Workshop on Information Theoretic Network Security, Rutgers University, Piscataway, NJ, November 14, 2012.
  8. Effect of Jamming on Distributed Spectrum Sensing in a Cognitive Radio Network, Nunan Day Workshop, Syracuse, April 13, 2012.
  9. Cyber Superiority for Air-force Combatant Commanders: Integrated Air/Space/C2/Cyber Dynamic Spectrum Exploitation for Enhanced Cyber Domain Maneuverability and Security, Complex Networks Workshop, Arlington, VA, December 2, 2011.

Invited Talks

  1. Distributed Inference with M-ary Quantized Data in the Presence of Byzantine Attacks, Army Research Laboratory, Adelphi, MD, June 20, 2017.
  2. Distributed Inference with M-ary Quantized Data in the Presence of Byzantine Attacks, BLISS Laboratory, Arizona State University, June 3, 2015.