Ghulam Mujtaba

I bring a rich blend of academic and industrial experience to the computer vision and deep learning domain. Holding a Ph.D. in Computer Engineering from Gachon University, I focused on personalized multimedia generation for resource-constrained devices at the Multimedia Computing Systems Laboratory (MCSLab) under the guidance of Prof. Eun-Seok Ryu. My academic background includes a Master of Science in Computer Science from Indus University and a Bachelor of Science in Computer Science from COMSATS Institute of Information Technology in Pakistan. As a specialized computer vision researcher, I excel in utilizing deep learning techniques for visual analysis, multimedia retrieval, and image processing. I am dedicated to advancing computer vision and deep learning in both academic and industrial settings.

Education

2018.03 - 2021.08
Doctor of Philosophy,

Gachon University, Seongnam, South Korea

Computer Engineering
- Lightweight Client-driven Personalized Multimedia Framework for Next Generation Streaming Platforms
2014.07 - 2016.6
Master of Science in Computer Science,

Indus University, Karachi, Pakistan

Computer Science
2009.09 - 2013.07
Bachelor of Science in Computer Science,

COMSATS Institute of Information Technology, Lahore, Pakistan

Computer Science

Work

2023.04 - Present
Postdoctoral Researcher

West Virginia University, Morgantown, WV, USA

Conducting cutting-edge research and developing state-of-the-art deep learning models for medical image/video data analysis, specializing in multi-label classification of ChexNet X-ray images. Exploring the latest advancements in ChatGPT, Generative AI, and LLMs while contributing to increased research productivity.
2022.03 - 2023.03
Research Engineer

C-JeS Gulliver Studio, Seoul, South Korea

Achieved 20% higher realism in digital-human characters by applying advanced deep learning techniques for Metaverse applications. Reduced production time by 30% through innovative 2D to 3D conversion methods. Authored two research papers, elevating the studio's reputation in digital-human technology.
2021.10 - 2022.02
Senior Researcher

DeltaX.ai, Seoul, South Korea

Developed deep learning techniques for human activity recognition, with a focus on violence detection in videos and images. Collaborated on the Self-Driving Data Contest 2021 and identified growth opportunities in emerging markets.
2019.09 - 2021.09
Visiting Researcher

Sungkyunkwan University, Seoul, South Korea

Pioneered thumbnail-based video analysis for streaming platforms, achieving a 3.57% boost in computational efficiency. Developed disclosure documents for intellectual property protection and authored research manuscripts, raising the lab's academic profile.
2018.03 - 2021.06
Graduate Research Assistant

Gachon University, Seongnam, South Korea

Participated in developing AI-based healthcare solutions for seniors and collaborated on multiview video surveillance summarization algorithms.

Selected Publications

2024

Personalized semantic fast-forward videos for next generation streaming platforms

Reda Harb Ghulam Mujtaba

USA Patent, 2024

Bib HTML PDF

@article{mujtaba2024ff,
  title = {Personalized semantic fast-forward videos for next generation streaming platforms},
  author = {Ghulam Mujtaba, Eun-Seok Ryu, Reda Harb},
  journal = {USA Patent},
  volume = {},
  pages = {},
  year = {2024},
  publisher = {USA Patent},
}

2023

FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices

IEEE Transactions on Big Data, 2023

Bib HTML PDF Code

@article{mujtaba2023frc,
  title = {FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices},
  author = {},
  journal = {IEEE Transactions on Big Data},
  volume = {},
  pages = {1-14},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/TBDATA.2023.3338012},
}

2022

LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

Ghulam Mujtaba, Adeel Malik, and Eun-Seok Ryu

IEEE Access, 2022

Bib HTML PDF Code

@article{mujtaba2022ltc,
  title = {LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN},
  author = {Mujtaba, Ghulam and Malik, Adeel and Ryu, Eun-Seok},
  journal = {IEEE Access},
  volume = {10},
  pages = {103041--103055},
  year = {2022},
  publisher = {IEEE},
  doi = {10.1109/ACCESS.2022.3209275},
}

Client-driven lightweight method to generate artistic media for feature-length sports videos

Ghulam Mujtaba, Jaehyuk Choi, and Eun-Seok Ryu

In SIGMAP: Processing of the 19th International Conference on Signal Processing and Multimedia Applications, 2022

Bib HTML PDF Code

@inproceedings{mujtaba2022client,
  title = {Client-driven lightweight method to generate artistic media for feature-length sports videos},
  author = {Mujtaba, Ghulam and Choi, Jaehyuk and Ryu, Eun-Seok},
  booktitle = {SIGMAP: Processing of the 19th International Conference on Signal Processing and Multimedia Applications},
  pages = {102--111},
  year = {2022},
  publisher = {SCITEPRESS},
  doi = {10.5220/0011335300003289},
}

2021

Human character-oriented animated gif generation framework

Ghulam Mujtaba, and Eun-Seok Ryu

In MAJICC: Mohammad Ali Jinnah University International Conference on Computing, 2021

Bib HTML PDF

@inproceedings{mujtaba2021human,
  title = {Human character-oriented animated gif generation framework},
  author = {Mujtaba, Ghulam and Ryu, Eun-Seok},
  booktitle = {MAJICC: Mohammad Ali Jinnah University International Conference on Computing},
  pages = {1--6},
  year = {2021},
  publisher = {IEEE},
  doi = {10.1109/MAJICC53071.2021.9526249},
}

Client-driven animated gif generation framework using an acoustic feature

Ghulam Mujtaba, Sangsoon Lee, Jaehyoun Kim, and 1 more author

Multimedia Tools and Applications, 2021

Bib HTML PDF Code

@article{mujtaba2021client,
  title = {Client-driven animated gif generation framework using an acoustic feature},
  author = {Mujtaba, Ghulam and Lee, Sangsoon and Kim, Jaehyoun and Ryu, Eun-Seok},
  journal = {Multimedia Tools and Applications},
  pages = {1--18},
  year = {2021},
  publisher = {Springer},
  doi = {10.1007/s11042-020-10236-6},
}

2020

Client-driven personalized trailer framework using thumbnail containers

Ghulam Mujtaba, and Eun-Seok Ryu

IEEE Access, 2020

Bib HTML PDF

@article{mujtaba2020client,
  title = {Client-driven personalized trailer framework using thumbnail containers},
  author = {Mujtaba, Ghulam and Ryu, Eun-Seok},
  journal = {IEEE Access},
  volume = {8},
  pages = {60417--60427},
  year = {2020},
  publisher = {IEEE},
  doi = {10.1109/ACCESS.2020.2982992},
}

2019

Energy efficient data encryption techniques in smartphones

Ghulam Mujtaba, Muhammad Tahir, and Muhammad Hanif Soomro

Wireless Personal Communications, 2019

Bib HTML PDF Code

@article{mujtaba2019energy,
  title = {Energy efficient data encryption techniques in smartphones},
  author = {Mujtaba, Ghulam and Tahir, Muhammad and Soomro, Muhammad Hanif},
  journal = {Wireless Personal Communications},
  volume = {106},
  number = {4},
  pages = {2023--2035},
  year = {2019},
  publisher = {Springer},
  doi = {10.1007/s11277-018-5920-1},
}

Education

Gachon University, Seongnam, South Korea

Computer Engineering

Indus University, Karachi, Pakistan

Computer Science

COMSATS Institute of Information Technology, Lahore, Pakistan

Computer Science

Work

West Virginia University, Morgantown, WV, USA

C-JeS Gulliver Studio, Seoul, South Korea

DeltaX.ai, Seoul, South Korea

Developed deep learning techniques for human activity recognition, with a focus on violence detection in videos and images. Collaborated on the Self-Driving Data Contest 2021 and identified growth opportunities in emerging markets.

Sungkyunkwan University, Seoul, South Korea

Pioneered thumbnail-based video analysis for streaming platforms, achieving a 3.57% boost in computational efficiency. Developed disclosure documents for intellectual property protection and authored research manuscripts, raising the lab's academic profile.

Gachon University, Seongnam, South Korea

Participated in developing AI-based healthcare solutions for seniors and collaborated on multiview video surveillance summarization algorithms.

2024

2023

2022

2021

2020

2019