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2020 – today
- 2026
[i6]Nitish Nagesh, Elahe Khatibi, Thomas Hughes, Mahdi Bagheri, Pratik Gajane, Amir M. Rahmani:
Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare. CoRR abs/2603.15926 (2026)- 2025
- [i5]Nitish Nagesh, Ziyu Wang, Amir M. Rahmani:
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation. CoRR abs/2506.19082 (2025) - [i4]Nitish Nagesh, Salar Shakibhamedan, Mahdi Bagheri, Ziyu Wang, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani:
FairTabGen: Unifying Counterfactual and Causal Fairness in Synthetic Tabular Data Generation. CoRR abs/2508.11810 (2025) - [i3]Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor
, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor:
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR abs/2510.15217 (2025) - 2024
- [c5]Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. EMBC 2024: 1-4 - [i2]Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. CoRR abs/2402.10153 (2024) - [i1]Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. CoRR abs/2403.00781 (2024) - 2023
- [c4]Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain:
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) 2023: 589-600 - 2022
- [c3]Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh C. Jain:
World Food Atlas for Food Navigation. MADiMa @ ACM Multimedia 2022: 39-47 - 2020
- [c2]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
Simulating Reliability of IoT Networks with RelIoT. DSN (Supplements) 2020: 25-28 - [c1]Kazim Ergun, Xiaofan Yu, Nitish Nagesh, Ludmila Cherkasova, Pietro Mercati, Raid Ayoub, Tajana Rosing:
RelIoT: Reliability Simulator for IoT Networks. ICIOT 2020: 63-81
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