Amrita Mahale

According to our database, Amrita Mahale authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Rachel Adams, Fola Adeleke, Leah Junck, Ayantola Alayande, Aarushi Gupta, Urvashi Aneja, Samuel T. Segun, Rosalind Parkes-Ratanshi, Selam Abdella, Mark Gaffley, Scott Mahoney, Rirhandzu Makamu, Nana Eghele Adade, Liping Bian, Timothy Kintu, Atwine Mugume, Aline Germani, Michelle El Kawak, Bheeshma Patel, Olanrewaju Lawa, Sara Khalid, Olubayo Adekanmbi, Rasheedat Sikiru, Toyib Ogunremi, Farhan Yusuf, Hanna Minaye, Imo Etuk, Jimmy Nsenga, Uma Urs, Marzia Zaman, Khondaker Abdullah Al Mamun, Vivian Resende, Pedro Henrique Faria Silva Trocoli-Couto, Rositsa Zaimova, Mamadou Alpha Diallo, Nana Kofi Quakyi, Xiao Fan Liu, Daudi Jjingo, Imad Elhajj, Joyce Nakatumba-Nabende, Tamlyn Eslie Roman, Maryam Mustafa, Brenda Hendry, Yogesh Hooda, Chinazo Anebelundu, Bishesh Khanal, Faisal Sultan, Nirmal Ravi, Darlington Akogo, Zameer Brey, Dave Cohen, Joshua Proctor, Essa Mohamedali, Nneka Mobisson, Amelia V. Taylor, Joao Archegas, Amrita Mahale, Neal Lesh, Enrica Duncan, Theofrida J. Maginga, Hugo M. P. Morales, Henrique Dias Pereira dos Santos, Tue Vo, Trang TH Nguyen, Robert Korom, Michael Leventhal, Shashi Jain, Livia Maria de Oliveira Ciabati, Praveen Devarsetty, Jane Hirst, Ankita Sharma, Moinul Chowdhury, Henrique Araujo Lima, Caroline Govathson, Sarah Morris

Nat. Comput. Sci., May, 2026

2025

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health.

Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja, Milind Tambe

CoRR, July, 2025

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health.

Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Leveraging AI to improve health information access in the World's largest maternal mobile health program.

Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja

AI Mag., 2024

Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.

Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation.

Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

CoRR, 2023

2021

Impact of data-splits on generalization: Identifying COVID-19 from cough and context.

Makkunda Sharma, Nikhil Shenoy, Jigar Doshi, Piyush Bagad, Aman Dalmia, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agrawal, Rahul Panicker

CoRR, 2021

2020

Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds.

Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker

CoRR, 2020