Mahbubul Syeed | Food Systems | Best Researcher Award

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Assoc Prof DrĀ MahbubulĀ Syeed |Ā Ā Food Systems |Ā Best Researcher Award

Associate Professor atĀ Ā Independent University, Bangladesh

Dr. M.M. Mahbubul Syeed is an accomplished Associate Professor in the Department of Computer Science and Engineering at Independent University, Bangladesh (IUB). With a rich academic career spanning 17 years, he holds a Ph.D. in Software Engineering from Tampere University of Technology, Finland.

 

Publication Profile:šŸŒŸšŸ‘Øā€šŸŽ“

šŸ“š Education

  • Ph.D. in Software Engineering, Tampere University of Technology, Finland (2011-2015)
  • M.Sc. in Software Engineering, Tampere University of Technology, Finland (2008-2010)
  • B.Sc. in Computer Science and Information Technology, Islamic University of Technology, Bangladesh (1999-2002)

šŸ’¼ Professional Experience

  • Current: Associate Professor, Dept. of CSE, Independent University, Bangladesh (IUB)
  • Deputy Director, RIoT Research Center, IUB
  • Project Coordinator, Coding for All Initiative, IUB
  • Faculty Advisor, ACM Student Chapter, IUB
  • Former: Head of the Department (Undergraduate), American International University-Bangladesh (AIUB)

šŸ† Awards and Scholarships

  • IUB Sponsored Research Grant (2022)
  • A2i Undergraduate Research Grant (2018)
  • Nokia Foundation Grant (2013, 2012)
  • Merit Scholarships from the Government of Bangladesh (1998, 1996, 1994)

šŸ‘Øā€šŸ’» Technical Skills

  • Languages: JAVA, C/C++, Python, Java Script, HTML, NodeJS
  • Platform: Android, MAC, Windows, Ubuntu
  • Frameworks: Android, Eclipse RCP, NodeJS, Expresso, Strongloop, BootStrap, and more
  • Tools: GitHub, Jira, SVN, Trello, Eclipse, Android Studio

šŸ‘©ā€šŸ”¬ Research Focus:

Dr. Syeed’s research primarily revolves around Software Engineering, with a special emphasis on projects, processes, practices, and communication. His expertise extends to the sustainable evolution of software projects, ecosystem characterization, and the design of analytical methods and tools. Currently, his research is centered on the empirical evaluation of IoT-driven system architecture and the adoption of IoT for automation.

Citations:
  • Citations: Dr. M.M. Mahbubul Syeed’s research has received 132 citations from 111 documents, highlighting the impact and recognition of his contributions in the academic community.
  • Documents: He has authored a total of 34 documents, reflecting a substantial body of work across various research topics.
  • h-index: Dr. Syeed’s h-index is 6, indicating that six of his publications have each been cited at least six times.
Publications Top Notes:
  • Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
  • Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images
  • Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review
  • Federated Learning Integration in O- RAN: A Concise Review
  • Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks