Theja Tulabandhula
Assistant Professor
Department of Information and Decision Sciences
Contact
Building & Room:
UH 2404
Address:
601 S. Morgan St., Chicago, IL 60607
Office Phone:
Email:
CV Link:
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About
Theja is an Assistant Professor at the University of Illinois Chicago. He obtained his PhD in computer science/machine learning from MIT CSAIL. He has 12+ years of experience in solving novel machine learning problems, and has built and deployed multiple ML solutions at scale. He has also co-authored 50+ research papers at top AI/ML related venues (e.g., JMLR, MLJ, UAI, AAMAS, WWW, Sensors, EJOR, MICCAI, ICASSP etc) and has been awarded 10+ patents.
His professional experiences include working with Apple, Citadel, State Street, Texas Instruments, AI Affinity, Headspace and others. His current research areas of interest include user behavior modeling, reinforcement learning and the use of machine learning techniques in impactful applications. He is motivated towards meaningfully helping improve AI driven service systems and positively contributing to the society.
Selected Publications
Marketing/Business
- Theja Tulabandhula, Deeksha Sinha, Saketh Karra Reddy, and Prasoon Patidar. MultiPurchase Behavior: Modeling, Estimation and Optimization. Manufacturing and Service Operations Management, 2023b.
- Theja Tulabandhula, Aris M. Ouksel, and Son The Nguyen. Impact of Customer Loyalty and Differing Firm Costs on Price Discrimination in an Infinite Horizon Setting. Quarterly Review of Economics and Finance, 2023a. doi: https://doi.org/10.1016/j.qref.2023.02.008.
- Priyank Agrawal, Theja Tulabandhula, and Vashist Avadhanula. A Tractable Online Learning Algorithm for the Multinomial Logit Contextual Bandit. European Journal of Operational Research, 2023. doi: https://doi.org/10.1016/j.ejor.2023.02.036.
- Theja Tulabandhula, Deeksha Sinha, and Saketh Karra. Optimizing revenue while showing relevant assortments at scale. European Journal of Operations Research., 300:561–570, 2021a.
- Theja Tulabandhula, Shailesh Vaya, and Aritra Dhar. Privacy preserving targeted advertising and recommendations. Journal of Business Analytics, 2020c. doi: 10.1080/2573234X.2020. 1763862.
Healthcare
- Mindy K. Ross, Theja Tulabandhula, Casey C. Bennett, EuGene Baek, Dohyeon Kim, Faraz Hussain, Alexander P. Demos, Emma Ning, Scott A. Langenecker, Olusola Ajilore, and Alex D. Leow. A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. Sensors, 23(3), 2023. ISSN 1424-8220. doi: 10.3390/s23031585.
Transportation
- Nahid Parvez Farazi, Bo Zou, and Theja Tulabandhula. On-demand crowdshipping using constrained and heuristics-embedded double dueling deep q-network. Transportation Research Part E: Logistics and Transportation Review, 166, 2022c
- Tanvir Ahamed, Bo Zou, Nahid Parvez, and Theja Tulabandhula. Deep reinforcement learning for crowdsourced urban delivery: System states characterization, heuristics-guided action choice, and rule-interposing integration. Transportation Research: Part B, 152:227–257, 2021b.
- Shahian Babak Jahromi, Theja Tulabandhula, and Sabri Cetin. Real-time hybrid multisensor fusion framework for perception in autonomous vehicles. Sensors, 19(4357), 2019a.
Core AI/ML/Robotics
- Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, and Amit Ranjan Trivedi. Ultralow-power localization of insect-scale drones: Interplay of probabilistic filtering and compute-in-memory. IEEE Transactions on Very Large Scale Integration Systems, 30:68–80, 2022.
- Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, and Amit Ranjan Trivedi. ENOS: Energy-Aware Network Operator Search for deep neural networks. IEEE Access, 2022a.
- Theja Tulabandhula. Interactions between learning and decision making. AI Matters, 3(1): 25–26, 2017. https://dl.acm.org/doi/abs/10.1145/3054837.3054847
- Theja Tulabandhula and Cynthia Rudin. Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge. Machine Learning Journal, 100:183–216, 2015b.
- Theja Tulabandhula and Cynthia Rudin. On combining machine learning with decision making. Machine Learning Journal, 97(1-2):33–64, 2014b.
- Theja Tulabandhula and Cynthia Rudin. Machine learning with operational costs. Journal of Machine Learning Research, 14:1989–2028, 2013.
Others
- Shamma Nasrin, Justine Drobitch, Priyesh Shukla, Theja Tulabandhula, Supriyo Bandyopadhyay, and Amit Ranjan Trivedi. Bayesian reasoning machine on a magneto-tunneling junction network. Nanotechnology, 2020a
- Theja Tulabandhula and Cynthia Rudin. Tire changes, fresh air, and yellow flags: Challenges in predictive analytics for professional racing. Big Data, 2(2), 2014d.
Publication Aggregators
Education
Ph.D. in Electrical Engineering and Computer Science (Minor in Mathematics), Massachusetts Institute of Technology, USA. Thesis area: Machine Learning. Advisor: Cynthia Rudin [GPA: 5/5] (2009–2014)
M. Tech. and B. Tech. in Electrical Engineering (Prime Minister’s Gold Medal for ranking 1 among 700+ students in terms of GPA and Institute Silver Medal), Indian Institute of Technology at Kharagpur, India [GPA: 4.6/5] (2004–2009)
Intellectual Property
Note: The date column indicates the grant date. For more information, please visit the Google Patents page.
- 2013-01-24 – System and method for optimal automated booking of on-demand transportation in multi-modal journeys (Number: US-11562300-B2)
- 2022-05-17 – Method and system for managing allocation of transportation services (Number: US-11334959-B2)
- 2021-09-28 – Method and system for controlling key performance indicator parameters of a transportation system (Number: US-11132633-B2)
- 2021-03-23 – Method and system for real time management of transportation services (Number: US-10957001-B2)
- 2020-06-30 – Method and system for displaying targeted multimedia items to a ridesharing group (Number: US-10701429-B2)
- 2019-01-08 – Method and system for dispatching of vehicles in a public transportation network (Number: US-10176443-B2)
- 2018-12-11 – Methods and systems for automatically creating and suggesting compatible ride-sharing groups (Number: US-10152735-B2)
- 2018-11-27 – Modeling a class posterior probability of context dependent phonemes in a speech recognition system (Number: US-10140979-B2)
- 2018-06-26 – Method and system for managing a dispatch of vehicles (Number: US10008121-B2)