Close

Shaibal Saha

PhD Candidate

About Me

Shaibal Saha

Shaibal is a PhD candidate in the Computer Science and Engineering Department at Oakland University. He is currently a graduate research assistant at the Edge Intelligent System Lab under the supervision of Dr. Lanyu Xu. Prior to beginning his PhD, Shaibal gained four years of experience as a software developer at Code Aristos, Bangladesh. He holds a Bachelor's in Computer Science and Engineering from North South University, Bangladesh.

Research Interest: Edge Computing, Deep learning, Model optimization, LLM systems, Hardware-Software co-design, Connected Health, Autonomous Vechicles

News

  • June 2025: I presented my work titled EfficientQuant at the T4V-CVPR Workshop 2025 at Nashville, TN.
  • June 2025: I contributed one book chapter (chapter 4) in the book Edge Computing: Systems and Applications and it is now available from Wiley-IEEE Press and Amazon.
  • May 2025: Our smart vehicle team—collaborated work between CSE and ECE— earned 3rd place in the Self-Drive Challenge at the 32nd Intelligent Ground Vehicle Competition (IGVC) in Self driving car category. Hurray for my team!!!
  • May 2025: Our survey paper on Vision Transformers on the Edge is accepted at Neurocomputing (Q1 journal).
  • April 2025: I successfully passed my PhD qualifying exam on April 18, 2025.
  • September 2024: I attended NSF workshop on Algorithm-Hardware Co-design for Medical Applications at Pittsburgh, PA.
  • May 2024: Our work on autonmmous driving is accepted at IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST) 2024.
  • January 2024: I got Provost Graduate Student Research Award grant, Oakland University for my research on vision transformer on the edge.
  • June 2023: I attended SEC 2023 conference at Delaware,DE and also recived NSF Student Travel Award. Additionally, I worked as a conference da
  • June 2023: I attended CHASE 2023 conference at Orlando, FL and also recived NSF Student Travel Award.

Publications

EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices

Shaibal Saha, and Lanyu Xu

Conference: 4th Workshop on Transformers for Vision (T4V) at CVPR, 2025. Paper | Poster

Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies

Shaibal Saha, and Lanyu Xu

Journal: Neurocomputing (Elsevier), 2025. Paper

The Architectural Implications of Multi-modal Detection Models for Autonomous Driving Systems

Yunge Li, Shaibal Saha, and Lanyu Xu

Conference: IEEE International Conference on Mobility: Operations, Services, and Technologies, 2024. Paper | Poster

Performance Analysis of Supervised Machine Learning Approaches for Bengali Text Categorization

Ronald Tudu, Shaibal Saha, Prasun Nandy Pritam, and Rajesh Palit

Conference: 5th IEEE Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 2018. Paper

Book

Edge Computing: Systems and Applications

Edge Computing: Systems and Applications

Published Date: June, 2025

Publisher: Wiley-IEEE Press

ISBN: 978-1-394-28584-6

Length: 288 pages

My Role: Responsible for writing and reviewing Chapter 4: Toward Edge Intelligence

Authors (Chapter 4): Shaibal Saha, Qiren Wang, Lichen Xia, and Yongtao Yao

About this book: Edge Computing offers a thorough but accessible overview of this cutting-edge technology. Beginning with the fundamentals of edge computing, including its history, key characteristics, and use cases, it describes the architecture and infrastructure of edge computing and the hardware that enables it. The book also explores edge intelligence, where artificial intelligence is integrated into edge computing to enable smaller, faster, and more autonomous decision-making. The result is an essential tool for any researcher looking to understand this increasingly ubiquitous method for processing data.

Link | Chapter 4 | Website

Experience

Oakland University

Graduate Teaching Assistant

  • CSI 3620: Data Structures and Algorithms (Summer '25)
  • CSI 3480: Security & Privacy in Computing (Summer '25)

Graduate Research Assistant

Code Aristos

Software Developer

Education

Oakland University

Sept 2022 - Current

PhD in Computer Science and Informatics

Oakland University

Sept 2022 - Dec 2024

Masters of Science in Computer Science

North South University

Jan 2014 - Sept 2018

Bachelor of Science in Computer Science And Engineering

Services And Award

Professional Services

  • Reviewer of IEEE Transactions on Emerging Topics in Computing (2025-).
  • Reviewer of the EMNLP workshop MRL (2024).
  • Reviewer of the Journal of Ambient Intelligence and Smart Environment (2023-).

Awards & Achievements

  • NSF Student Travel Award for attending IEEE MOST 2024.
  • Bangladesh-Sweden Trust Fund (BSTF) - Travel Grant 2024.
  • NSF Student Travel Award for attending IEEE/ACM SEC 2023.
  • NSF Student Travel Award for attending IEEE/ACM CHASE 2023.
  • Oakland University Provost Graduate Student Research Award - Spring 2023.
  • Selected for North South University Scholarship at the undergraduate for maintaining a good result (2016-2018).
  • Government Scholarship for junior, and secondary education.

Community Services

  • President of Association for Computing Machinery (ACM) Oakland university student chapter(2024-) .
  • Treasurer of Association for Computing Machinery (ACM) Oakland university student chapter(2023-2024) .
  • Worked For Badon blood bank for helping people, Bangladesh.

My Free Time

I love to travel. I want to meet new people, know their culture, and explore new places. Besides that, I love to read historical books specifically about Indo-Pacific region.