Publications

2026

1. ArXiv’26 preprint

   ProcAgent: An Agentic Framework for Procedural Task Guidance on Edge with Human-in-the-Loop

   Azizul Zahid, Subrata Biswas, Bashima Islam, and 1 more author

   arXiv preprint arXiv:2607.24770, 2026

   Bib PDF

   @article{zahid2026procagent,
     title = {ProcAgent: An Agentic Framework for Procedural Task Guidance on Edge with Human-in-the-Loop},
     author = {Zahid, Azizul and Biswas, Subrata and Islam, Bashima and Swaminathan, Sai},
     journal = {arXiv preprint arXiv:2607.24770},
     year = {2026},
   }

2025

1. ICRA’25

   Toward Aligning Human and Robot Actions via Multi-Modal Demonstration Learning

   Azizul Zahid, Jie Fan, Farong Wang, and 3 more authors

   In ICRA 2025 Workshop: Human-Centered Robot Learning in the Era of Big Data and Large Models, 2025

   Bib PDF

   @inproceedings{zahid2025toward,
     title = {Toward Aligning Human and Robot Actions via Multi-Modal Demonstration Learning},
     author = {Zahid, Azizul and Fan, Jie and Wang, Farong and Dy, Ashton and Swaminathan, Sai and Liu, Fei},
     booktitle = {ICRA 2025 Workshop: Human-Centered Robot Learning in the Era of Big Data and Large Models},
     year = {2025},
     url = {https://openreview.net/forum?id=ZyRVRYAC97},
   }

2. CHASE’25

   Pulseride: A robotic wheelchair for personalized exertion control with human-in-the-loop reinforcement learning

   Azizul Zahid, Bibek Poudel, Danny Scott, and 4 more authors

   In Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2025

   Bib PDF

   @inproceedings{zahid2025pulseride,
     title = {Pulseride: A robotic wheelchair for personalized exertion control with human-in-the-loop reinforcement learning},
     author = {Zahid, Azizul and Poudel, Bibek and Scott, Danny and Scott, Jason and Crouter, Scott and Li, Weizi and Swaminathan, Sai},
     booktitle = {Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies},
     pages = {57--68},
     year = {2025},
   }

3. IMWUT’25

   RadioGami: Batteryless, Long-range Wireless Paper Sensors Using Tunnel Diodes

   Imran Fahad, Danny Scott, Azizul Zahid, and 5 more authors

   Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Jun 2025

   DOI Bib

   @article{Fahad_2025,
     title = {RadioGami: Batteryless, Long-range Wireless Paper Sensors Using Tunnel Diodes},
     volume = {9},
     issn = {2474-9567},
     url = {http://dx.doi.org/10.1145/3729487},
     doi = {10.1145/3729487},
     number = {2},
     journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
     publisher = {Association for Computing Machinery (ACM)},
     author = {Fahad, Imran and Scott, Danny and Zahid, Azizul and Bringle, Matthew and Patil, Srinayana and Bevins, Ella and Palileo, Carmen and Swaminathan, Sai},
     year = {2025},
     month = jun,
     pages = {1-32}
   }

2024

1. IMWUT’24

   NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic Cameras

   Danny Scott, Matthew Bringle, Imran Fahad, and 3 more authors

   Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Sep 2024

   Abs DOI Bib PDF

   In this research, we introduce NeuroCamTags, a battery-free platform designed to detect a range of rich human interactions and activities in entire rooms and floors without the need for batteries. The NeuroCamTag system comprises low-cost tags that harvest ambient light energy and utilize high-frequency modulation of light-emitting diodes (LEDs) for wireless communication. These visual signals are captured by an available neuromorphic camera, which boasts temporal resolution and frame rates an order of magnitude higher than those of conventional cameras. We present an event processing pipeline that allows simultaneous localization and identification of multiple unique tags. NeuroCamTags offer a wide range of functionalities, providing battery-free wireless sensing for various physical stimuli, including changes in temperature, contact, button presses, key presses, and even sound cues. Our empirical evaluations demonstrate impressive accuracy at long ranges up to 200 feet. In addition to these findings, we consider a range of applications such as battery-free input devices, tracking of human movement, and long-range detection of human activities in various environments such as kitchens, workshops, etc. By reducing reliance on batteries, NeuroCamTags promotes eco-friendliness and opens doors to exciting possibilities in smart environment technology.

   @article{IMWUT24_Scott,
     author = {Scott, Danny and Bringle, Matthew and Fahad, Imran and Morales, Gaddiel and Zahid, Azizul and Swaminathan, Sai},
     title = {NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic Cameras},
     year = {2024},
     issue_date = {September 2024},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {8},
     number = {3},
     url = {https://doi.org/10.1145/3678529},
     doi = {10.1145/3678529},
     journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
     month = sep,
     articleno = {122},
     numpages = {25},
     keywords = {Activity sensing, Battery-free, Context Aware Computing, Wireless sensing}
   }

2. ArXiv

   BanglaNum–A Public Dataset for Bengali Digit Recognition from Speech

   Mir Sayeed Mohammad, Azizul Zahid, and Md Asif Iqbal

   arXiv preprint arXiv:2403.13465, Mar 2024

   DOI Bib PDF

   @article{mohammad2024banglanum,
     title = {BanglaNum--A Public Dataset for Bengali Digit Recognition from Speech},
     author = {Mohammad, Mir Sayeed and Zahid, Azizul and Iqbal, Md Asif},
     journal = {arXiv preprint arXiv:2403.13465},
     year = {2024},
     month = mar,
     url = {https://doi.org/10.48550/arXiv.2403.13465},
     doi = {10.48550/arXiv.2403.13465},
   }