Akash Pandey

Akash Pandey

PhD Candidate, Northwestern University

Conference, Workshops

  1. Payal Mohapatra, Yueyuan Sui, Akash Pandey, Stephen Xia, Qi Zhu, [MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series], NeurIPS Main Conference (Spotlight), 2025.

  2. Akash Pandey, Wei Chen, Sinan Keten, COLOR: A compositional linear operation-based representation of protein sequences for identification of monomer contributions to properties, ICLR MLGenX Workshop, 2025.

  3. Payal Mohapatra *, Akash Pandey *, Xiaoyuan Zhang *, and Qi Zhu. Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs. ACL Main Conference, 2025.

  4. Payal Mohapatra *, Akash Pandey *, Yueyuan Sui *, and Qi Zhu. Effect of attention and self-supervised speech embeddings on non-semantic speech tasks. In ACM Multimedia **(accepted**), 2023.

  5. Payal Mohapatra *, Akash Pandey *, Sinan Keten, Wei Chen, 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).

  6. Payal Mohapatra, Akash Pandey, Bashima Islam, and Qi Zhu. “Speech Disfluency Detection with Contextual Representation and Data Distillation.” In Proceedings of the 1st ACM IASA Workshop, 2022.

  7. Akash Pandey, A Arokiarajan, “Methods for Measuring the Life of the MFC as Sensor and Actuator at High Temperature”, Smart Materials, Adaptive Structures and Intelligent Systems 50480, V001T02A002, 2016.

  8. Akash Pandey, A Arokiarajan, “Experimental studies on fatigue behavior of macro fiber composite (MFC) under mechanical loading”, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 2016.

Journals

  1. Akash Pandey, Wei Chen, Sinan Keten, COLOR: A compositional linear operation-based representation of protein sequences for identification of monomer contributions to properties, Journal of Chemical Information and Modeling, 2025

  2. Akash Pandey, Wei Chen, Sinan Keten,Sequence-based data-constraint deep learning framework to predict spider dragline mechanical properties, Nature Communications Materials, 2024

  3. Akash Pandey, Elaine Liu, Jacob Graham, Wei Chen, Sinan Keten, B-factor prediction in proteins using a sequence-based deep learning model, Cell Patterns, 2023.

  4. Akash Pandey, A Arokiarajan, “An experimental and theoretical fatigue study on macro fiber composite (MFC) under thermo-mechanical loadings”, European Journal of Mechanics-A/Solids 66, 26-44, 2017

  5. Akash Pandey, A Arokiarajan, “Performance studies on Macro fiber composite (MFC) under thermal condition using Kirchhoff and Mindlin plate theories”, International Journal of Mechanical Sciences 130, 416-425, 2017

  6. Akash Pandey, A Arokiarajan, “Fatigue study on the sensor performance of Macro Fiber Composite (MFC): Theoretical and experimental approach”, Composite Structures 174, 301-318, 2017

  7. Akash Pandey, A Arokiarajan, “Fatigue study on the actuation performance of macro fiber composite (MFC): theoretical and experimental approach”, Smart Materials and Structures 26 (3), 035018, 2017

  8. Akash Pandey, A Arokiarajan, “Actuation performance of macro-fiber composite (MFC): Modeling and experimental studies”, Sensors and Actuators A: Physical 248, 114-129, 2016

*signifies that the authors have contributed equally.