Ghulam Mujtaba | Computer Vision | Computer Vision

Assist Prof Dr.Ghulam Mujtaba | Computer Vision |Best Researcher Award

Assistant Professor Regis University United States

Ghulam Mujtaba is a Postdoctoral Researcher at West Virginia University, specializing in deep learning and computer vision. With over seven years of industrial experience, he has developed state-of-the-art techniques for action recognition on resource-constrained edge devices. His work has led to the publication of over 10 refereed articles and one pending USA patent.

Profile

Scopus

Education πŸŽ“

  • Ph.D. in Engineering (2018 – 2021), Gachon University, South Korea. Dissertation: “Lightweight Client-driven Personalized Multimedia Framework for Next Generation Streaming Platforms.”
  • M.Sc. in Computer Science (2014 – 2016), Indus University, Pakistan.
  • B.Sc. in Computer Science (2009 – 2013), COMSATS Institute of Information Technology, Pakistan.

Experience πŸ’Ό

  • Postdoctoral Researcher, West Virginia University (2023 – Present)
  • Research Engineer, C-JeS Gulliver Studio, South Korea (2022 – 2023)
  • Senior Researcher, DeltaX, South Korea (2021 – 2022)
  • Visiting Researcher, MCSLab, Sungkyunkwan University, South Korea (2019 – 2021)
  • Graduate Research Assistant, Gachon University, South Korea (2018 – 2021)

Research Interests πŸ”

Ghulam’s research focuses on Computer Vision, Deep Learning for Visual Analysis, and Multimedia Retrieval. He is passionate about developing lightweight deep learning models for edge devices and enhancing realism in digital human characters for Metaverse applications.

Awards πŸ†

  • Korea Transportation Safety Authority Chairman Award for Self-Driving Data Contest 2021.
  • Amazon Research Award 2021 (proposal led to a patent application).

Publications πŸ“š

  1. FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices, IEEE Transactions on Big Data, 2023. Cited by 7
  2. LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN, IEEE Access, 2022. Cited by 15
  3. Client-driven Animated GIF Generation Framework Using an Acoustic Feature, Multimedia Tools and Applications, 2021. Cited by 10
  4. Client-Driven Personalized Trailer Framework Using Thumbnail Containers, IEEE Access, 2020. Cited by 12
  5. Energy-Efficient Data Encryption Techniques in Smartphones, Wireless Personal Communications, 2019. Cited by 20

 

Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

Mr.Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

Graduate Researcher Daffodil International University Bangladesh

Auvick Chandra Bhowmik is a passionate and dedicated graduate researcher specializing in computer science and engineering. Currently pursuing his Bachelor’s degree at Daffodil International University, he is focused on developing expertise in machine learning, deep learning, and data science.

Profile

Google Scholar

Education

πŸŽ“ Daffodil International University (DIU)

  • Bachelor of Science in Computer Science and Engineering (CSE)
  • 2021 – Present
  • CGPA: 3.96 (Current)

πŸŽ“ Dr. Mosharraf Foundation College

  • Higher Secondary Certificate (HSC)
  • 2018 – 2020
  • GPA: 4.75 (Out of 5)

Experience

πŸ”§ Graduate Researcher

  • Actively searching for research opportunities to gain experience in the field.
  • Focused on projects related to computer science, particularly machine learning and deep learning.

Research Interests

πŸ”¬ Research Interests

  • Machine Learning
  • Deep Learning
  • Data Science
  • Vision Transformers
  • Disease Detection using Machine Learning

Awards

πŸ† Awards

  • Actively working towards contributing to the field of computer science through various research projects and publications.

Publications

πŸ“š Publications