Theja Tulabandhula

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Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Amit Ranjan TrivediUniversity of Illinois at ChicagoVerified email at uic.edu
Koyel MukherjeeAdobe ResearchVerified email at adobe.com
Saketh Reddy KarraUniversity of IllinoisVerified email at uic.edu
Shamma NasrinUniversity of Illinois at ChicagoVerified email at uic.edu
Deeksha SinhaMassachusetts Institute of TechnologyVerified email at mit.edu
Raga GopalakrishnanAssistant Professor of Operations Management, Smith School of Business, Queen's UniversityVerified email at queensu.ca
Asmita MetrewarIIIT HyderabadVerified email at alumni.iiit.ac.in
Ahish ShylendraMaxLinearVerified email at maxlinear.com
Bo ZouUniversity of Illinois ChicagoVerified email at uic.edu
Nahid Parvez FaraziPhD Candidate, University of Illinois at ChicagoVerified email at uic.edu
Babak Shahian Jahromi, PhDUniversity of Illinois, Sharif University of TechnologyVerified email at uic.edu
Priyank AgrawalColumbia UniversityVerified email at columbia.edu
Anuj MahajanAmazonVerified email at cs.ox.ac.uk
Prasoon PatidarGraduate Research Assistant, Carnegie Mellon UniversityVerified email at cmu.edu
Alex Christopher StuttsUniversity of Illinois ChicagoVerified email at uic.edu
Tejas BodasAssistant Professor, IIIT HyderabadVerified email at iiit.ac.in
Nick IlievResearch associate, neuromorphic computing, DNNs, VLSI HPCs and systems, PhD, Univ. of IllinoisVerified email at uic.edu
Tanvir Ahamed, PhDOperations Research Engineer at Wheels UpVerified email at uic.edu
Arpita BiswasResearch Associate at Harvard University, USA | Former Google PhD Fellow at IISc, BangaloreVerified email at g.harvard.edu

Theja Tulabandhula

University of Illinois Chicago

Verified email at alum.mit.edu - Homepage

Artificial Intelligence Machine Learning Operations Research


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Real-time hybrid multi-sensor fusion framework for perception in autonomous vehicles B Shahian Jahromi, T Tulabandhula, S Cetin Sensors 19 (20), 4357, 2019	146	2019
Machine learning with operational costs T Tulabandhula, C Rudin Association for Computing Machinery (ACM), 2013	60	2013
On combining machine learning with decision making T Tulabandhula, C Rudin Machine learning 97, 33-64, 2014	49*	2014
Robust optimization using machine learning for uncertainty sets T Tulabandhula, C Rudin Proceedings of the International Symposium on Artificial Intelligence and …, 2014	49	2014
Tire changes, fresh air, and yellow flags: challenges in predictive analytics for professional racing T Tulabandhula, C Rudin Big data 2 (2), 97-112, 2014	45	2014
Deep reinforcement learning for crowdsourced urban delivery T Ahamed, B Zou, NP Farazi, T Tulabandhula Transportation Research Part B: Methodological 152, 227-257, 2021	35*	2021
Symmetry learning for function approximation in reinforcement learning A Mahajan, T Tulabandhula International Conference on Autonomous Agents and Multiagent Systems, 2017	35	2017
System and method for optimal automated booking of on-demand transportation in multi-modal journeys T Tulabandhula, N Annamaneni US Patent 11,562,300, 2023	32	2023
Multi-purchase behavior: Modeling, estimation, and optimization T Tulabandhula, D Sinha, SR Karra, P Patidar Manufacturing & Service Operations Management 25 (6), 2298-2313, 2023	26*	2023
The costs and benefits of sharing: Sequential individual rationality and sequential fairness R Gopalakrishnan, K Mukherjee, T Tulabandhula arXiv preprint arXiv:1607.07306, 2016	23	2016
MC²RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference P Shukla, A Shylendra, T Tulabandhula, AR Trivedi 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020	22	2020
Methods and systems for automatically creating and suggesting compatible ride-sharing groups K Mukherjee, T Tulabandhula, A Metrewar US Patent 10,152,735, 2018	22	2018
Estimating the Personality of White-Box Language Models SR Karra, ST Nguyen, T Tulabandhula Workshop on Information Technologies and Systems 2022, 2022	20	2022
Bayesian reasoning machine on a magneto-tunneling junction network S Nasrin, J Drobitch, P Shukla, T Tulabandhula, S Bandyopadhyay, ... Nanotechnology 31 (48), 484001, 2020	20	2020
Profit optimization in commercial ridesharing A Biswas, R Gopalakrishnan, T Tulabandhula, K Mukherjee, A Metrewar, ... Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017	19	2017
Ultralow-power localization of insect-scale drones: Interplay of probabilistic filtering and compute-in-memory P Shukla, A Muralidhar, N Iliev, T Tulabandhula, SB Fuller, AR Trivedi IEEE transactions on very large scale integration (VLSI) systems 30 (1), 68-80, 2021	17	2021
Impact of detour-aware policies on maximizing profit in ridesharing A Biswas, R Gopalakrishnan, T Tulabandhula, A Metrewar, K Mukherjee, ... arXiv preprint arXiv:1706.02682, 2017	15	2017
Symmetry detection and exploitation for function approximation in deep rl A Mahajan, T Tulabandhula Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017	14	2017
A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6 µm CMOS T Tulabandhula, Y Mitikiri 2009 22nd International Conference on VLSI Design, 111-116, 2009	14	2009
Method and system for dispatching of vehicles in a public transportation network T Tulabandhula, PK Jayachandran, TP Bodas US Patent 10,176,443, 2019	13	2019

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