| Distance distributions in finite uniformly random networks: Theory and applications S Srinivasa, M Haenggi IEEE Transactions on Vehicular Technology 59 (2), 940-949, 2009 | 319 | 2009 |
| Superposition coding strategies: Design and experimental evaluation S Vanka, S Srinivasa, Z Gong, P Vizi, K Stamatiou, M Haenggi IEEE Transactions on Wireless Communications 11 (7), 2628-2639, 2012 | 239 | 2012 |
| The ai economist: Improving equality and productivity with ai-driven tax policies S Zheng, A Trott, S Srinivasa, N Naik, M Gruesbeck, DC Parkes, R Socher arXiv preprint arXiv:2004.13332, 2020 | 156 | 2020 |
| Path loss exponent estimation in large wireless networks S Srinivasa, M Haenggi 2009 Information Theory and Applications Workshop, 124-129, 2009 | 96 | 2009 |
| The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning S Zheng, A Trott, S Srinivasa, DC Parkes, R Socher Science advances 8 (18), eabk2607, 2022 | 83 | 2022 |
| Modeling interference in finite uniformly random networks S Srinivasa, M Haenggi International Workshop on Information Theory for Sensor Networks (WITS’07), 1-12, 2007 | 65 | 2007 |
| CREST: An opportunistic forwarding protocol based on conditional residual time S Srinivasa, S Krishnamurthy 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and …, 2009 | 47 | 2009 |
| A review on multivariate mutual information S Srinivasa Univ. of Notre Dame, Notre Dame, Indiana 2 (1), 2005 | 45 | 2005 |
| Implementation and experimental results of superposition coding on software radio RK Ganti, Z Gong, M Haenggi, C Lee, S Srinivasa, D Tisza, S Vanka, ... 2010 IEEE International Conference on Communications, 1-5, 2010 | 28 | 2010 |
| Building a foundation for data-driven, interpretable, and robust policy design using the ai economist A Trott, S Srinivasa, D van der Wal, S Haneuse, S Zheng arXiv preprint arXiv:2108.02904, 2021 | 22 | 2021 |
| The ai economist: Optimal economic policy design via two-level deep reinforcement learning S Zheng, A Trott, S Srinivasa, DC Parkes, R Socher arXiv preprint arXiv:2108.02755, 2021 | 21 | 2021 |
| A statistical mechanics-based framework to analyze ad hoc networks with random access S Srinivasa, M Haenggi IEEE Transactions on Mobile Computing 11 (4), 618-630, 2011 | 21 | 2011 |
| Throughput-delay-reliability tradeoffs in multihop networks with random access S Srinivasa, M Haenggi 2010 48th Annual Allerton Conference on Communication, Control, and …, 2010 | 20 | 2010 |
| Digital frequency band detector for clock and data recovery AV Malipatil, SP Kotagiri, S Venkatraman, S Srinivasa, PM Aziz US Patent App. 14/053,069, 2015 | 14 | 2015 |
| Scheduling using superposition coding: Design and software radio implementation P Vizi, S Vanka, S Srinivasa, M Haenggi, Z Gong 2011 IEEE Radio and Wireless Symposium, 154-157, 2011 | 13 | 2011 |
| Biased bang-bang phase detector for clock and data recovery AV Malipatil, S Srinivasa, AB Healey, PM Aziz US Patent 8,860,467, 2014 | 12 | 2014 |
| Modeling interference in uniformly random wireless networks: Theory and applications S Srinivasa | 12 | 2007 |
| Combining stochastic geometry and statistical mechanics for the analysis and design of mesh networks S Srinivasa, M Haenggi Ad Hoc Networks 13, 110-122, 2014 | 11 | 2014 |
| The TASEP: A statistical mechanics tool to study the performance of wireless line networks S Srinivasa, M Haenggi 2010 Proceedings of 19th International Conference on Computer Communications …, 2010 | 9 | 2010 |
| A practical approach to strengthen vulnerable downlinks using superposition coding S Vanka, S Srinivasa, M Haenggi 2012 IEEE International Conference on Communications (ICC), 3763-3768, 2012 | 8 | 2012 |
Martin HaenggiFreimann Professor of Electrical Engineering and Prof. of Applied Math., University of Notre DameVerified email at nd.edu
