Publications
Mohapatra, Payal, Lixu Wang, and Qi Zhu.
“Phase-driven Domain Generalizable Learning for Nonstationary Time Series.” Transactions on Machine Learning Research (TMLR), 2025. | Time Series for Health (TS4H) Workshop @ NeurIPS 2025.
[Paper]
Mohapatra, Payal, Yueyuan Sui, Akash Pandey, Stephen Xia, and Qi Zhu.
“MAESTRO: Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series.” NeurIPS 2025. (Spotlight, top 3.1%)
[Paper][Code]
Mohapatra, Payal*, Akash Pandey*, Xiaoyuan Zhang*, and Qi Zhu.
“Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs.” Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL): Main Conference, 2025. [Paper][Code]Talk
Wang, Lixu, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, and Qi Zhu.
“Split Adaptation for Pre-trained Vision Transformers.” CVPR 2025. [Paper]
Mohapatra, Payal*, Vasudev Aravind*, Marisa Bisram, Young-Joong Lee, Hyoyoung Jeong, Katherine Jinkins, Richard Gardner et al.
“Wearable Network for Multilevel Physical Fatigue Prediction in Manufacturing Workers.” PNAS Nexus 3, no. 10 (2024): pgae421.
[Paper] | [Code] | [Data] | [Video Demo]
Mohapatra, Payal*, Ali Aroudi, Anurag Kumar, and Morteza Khaleghimeybodi.
“Non-verbal Hands-free Control for Smart Glasses using Teeth Clicks.” arXiv preprint arXiv:2408.11346 (2024).
[White Paper]
Mohapatra, Payal*, Shamika Likhite*, Subrata Biswas, Bashima Islam, and Qi Zhu.
“Missingness-Resilient Video-Enhanced Multimodal Disfluency Detection.” Interspeech 2024, 5093–5097.
[Paper] | [Code] | [Data]
Mohapatra, Payal*, Akash Pandey*, Yueyuan Sui*, and Qi Zhu.
“Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks.”
Proceedings of the 31st ACM International Conference on Multimedia (MM ‘23).
[Paper] | [Code] | [Talk]
Mohapatra, Payal, Bashima Islam, Md Tamzeed Islam, Ruochen Jiao, and Qi Zhu.
“Efficient Stuttering Event Detection Using Siamese Networks.”
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.
[Paper] | [Code] | [Talk]
Mohapatra, Payal*, Akash Pandey*, Sinan Keten, Wei Chen, and Qi Zhu.
“Person Identification with Wearable Sensing Using Missing Feature Encoding and Multi-Stage Modality Fusion.”
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.
[Paper] | [Talk]
Mohapatra, Payal, Akash Pandey, Bashima Islam, and Qi Zhu.
“Speech Disfluency Detection with Contextual Representation and Data Distillation.”
Proceedings of the 1st ACM International Workshop on Intelligent Acoustic Systems and Applications (2022).
[Paper] | [Code] | [Talk]
Mohapatra, Payal, Preejith Sreeletha Premkumar, and Mohanasankar Sivaprakasam.
“A Yellow–Orange Wavelength-Based Short-Term Heart Rate Variability Measurement Scheme for Wrist-Based Wearables.”
IEEE Transactions on Instrumentation and Measurement, 2018.
[Paper]
Mohapatra, Payal, S. P. Preejith, and Mohanasankar Sivaprakasam.
“A Novel Sensor for Wrist Based Optical Heart Rate Monitor.”
IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2017.
[Paper]
Non-Archival Presentations
- “Empowering Real-World Sensing: Algorithms for Imperfect Time-Series”
- “Detecting Speech Disfluencies in a Data-Constrained Setting”
- Computing Research Association Widening Participation, Grad Cohort Workshop for Women, New Orleans, USA, April 2022
📊 Poster
- Computing Research Association Widening Participation, Grad Cohort Workshop for Women, New Orleans, USA, April 2022
- “PAST: Privacy Aware Speech Therapy”
- Design Automation Conference Young Fellowship, Virtual, December 2021
🎥 Project Video | 📊 Poster
- Design Automation Conference Young Fellowship, Virtual, December 2021
- “Short-Term HRV Using Acceleration PPG Under Severe Ambient Settings Using In-House Developed Wearable”
- IEEE Women’s Technical Conference (WINTECHCON), Bangalore, India, 2018
Won Best Paper Award in All Tracks
- IEEE Women’s Technical Conference (WINTECHCON), Bangalore, India, 2018
- “IoT-Based Virtual Physiotherapy with Biofeedback”
- Anveshan Design Fellowship, Analog Devices Inc., Bangalore, India, 2016
Winning Team of Anveshan 2016
- Anveshan Design Fellowship, Analog Devices Inc., Bangalore, India, 2016
📺 Media Coverage
Research Profile – 2025
I was selected as one of the six speakers at the Code and Data Exchange symposium at Northwestern and got featured here: Lightening Talk.
PNAS Nexus Paper – October 2024
Our paper, “Wearable Network for Multi-Level Physical Fatigue Prediction in Manufacturing Workers”, was featured in several tech news outlets: MSN, TechXplore, PopSci, News-Medical, Yahoo Tech, Northwestern Engineering, etc.
EECS Rising Stars Workshop – 2024
My research profile was features in the – Rising Stars Participant Profile and McCormick News Announcement.
Anveshan Design Fellowship – 2016
My team was awarded the Anveshan 2016 Design Fellowship by Analog Devices. Learn more about the winning teams through this link:Anveshan 2016 Winning Teams, India Today, etc.
WINTECHCON 2018 – Best Paper Award
Coverage of the Best Paper Award at the IEEE Women’s Technical Conference (WINTECHCON) held in Bangalore, India. Read about the award recognition here: Award Recognition by ADI.
Service
Conference & Workshop Organization
- Program Committee, 3rd ACM International Workshop on Intelligent Acoustic Systems and Applications (IASA 2025)
Peer Review Activities
Journals
- IEEE Internet of Things (2025)
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2025)
- IEEE Transactions on Automation Science and Engineering (2025)
Conferences
- ICLR (2025, 2026), ICASSP (2024, 2025), ASP-DAC (2026), IMWUT (2024), IROS (2024)
Workshops
- TS4H @ NeurIPS (2025), IEEE MLSP (2025), TSALM @ NeurIPS (2024)
External Reviewer
- ASP-DAC (2024), EMSOFT (2023), ICCPS (2023), NSys (2022)
Book Reviews
- Cambridge University Press (Early Reader Reviewer)
Academic Engagement
- Active Participant, ML Reading Group at Northwestern
Topics presented: XGBoost, Multimodal Learning, Non-Stationary Transformers
Mentorship
2025
- Xiaoyuan Zhang (MS, Computer Engineering, Northwestern)
- Haodong Yang (MS, Computer Engineering, Northwestern)
2024
- Talia Ben-Naim (MS, Computer Engineering, Northwestern → Embedded Software Engineer, Medtronic, Boston)
- Brooks Hu (Undergraduate, Computer Engineering, Northwestern)
- Mark Zhang (MS, Mechanical Engineering, Northwestern)
2023
- Yueyuan Sui (MS → PhD, Northwestern University)
- Shamika Likhite (MS, Northwestern University → Software Engineer, SpeechAce)
- Kiva Joseph (Undergraduate, Computer Engineering, Northwestern)
- Jonathan Li Chen, Ben Forbes, Justin Lau (Undergraduates, Mechanical Engineering, Northwestern)
2022
- Devashri Naik (MS, Northwestern University → PhD, University of Illinois at Chicago)
- Jinjin Cai (MS, Northwestern University → PhD, Purdue University)
Note:
All links to papers, code repositories, data, and demo videos are provided where available. If any links are missing or outdated, feel free to reach out for further access!