Dr. Muhammad Munsif

Postdoctoral Research Associate at Graduate School of Artificial Intelligence, UNIST.

Muhammad Munsif (Student Member, IEEE) received a Ph.D. degree in Software Convergence from Sejong University, Seoul, South Korea, in February 2026. Currently working as a Postdoctoral Research Associate at Ulsan National Institute of Science and Technology (UNIST), South Korea.His research interests include computer vision, vision language models (VLMs), video analytics, multimodal and multi-view action recognition, intelligent systems, and virtual and augmented reality. He has published several research articles in high-impact peer-reviewed journals and conferences, including IEEE Transactions on Industrial Informatics, Advanced Engineering Informatics, Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, Computers in Biology and Medicine, and CVPR Workshops. He actively contributes as a reviewer for leading international journals and conferences, including Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems, Expert Systems with Applications, Pattern Recognition, Neural Networks, and IEEE Access.

News & Updates

  • 🎓 Mar 2026 — Appointed as Postdoctoral Research Associate at Ulsan National Institute of Science and Technology (UNIST), South Korea
  • 🏆 Feb 2026 — Received the Outstanding Research Award presented by Sejong University, Seoul, South Korea
  • 🏆 Nov 2025 — Received the Best Paper Award at the 2025 Fall Conference, Standard Certification Safety Society, South Korea
  • 🏆 Mar 2025 — Received Award of KRW 500,000 for Best Presentation on MS-COCO Dataset Quality Evaluation (Challenge Track), Intelligent Media Laboratory, Sejong University
  • 📄 2025 — Paper accepted in Advanced Engineering Informatics (IF: 9.9, Q1): Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis
  • 📄 2025 — Paper accepted in Engineering Applications of Artificial Intelligence (IF: 8.0, Q1): Action understanding in low-light and pitch-dark conditions: A comprehensive survey
  • 🎤 Jun 2024 — Paper presented at IEEE CVPR Workshop 2024: Medium Scale Benchmark for Cricket Excited Actions Understanding
  • 📄 2024 — Paper published in IEEE Transactions on Industrial Informatics (IF: 9.9, Q1): Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications
  • 🏅 Sep 2023 — Awarded BK21 Four Scholarship by the National Research Foundation of Korea

Selected Publications

  1. Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications. Muhammad Munsif, Noman Khan, Altaf Hussain, Min Je Kim, Sung Wook Baik. IEEE Transactions on Industrial Informatics, 2024.
  2. Pseudo-labeling driven refinement of benchmark object detection datasets via analysis of learning patterns . Min Je Kim, Muhammad Munsif, Altaf Hussain, Hikmat Yar, Sung Wook Baik. Neurocomputing, 2026.
  3. Quality over quantity: a data-centric survey of annotation errors in object detection datasets . Adnan Hussain, Kaleem Ullah, Muhammad Afaq, Muhammad Munsif, Altaf Hussain, Sung Wook Baik. Artificial Intelligence Review, 2026
  4. Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis. Muhammad Munsif, Altaf Hussain, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik. Advanced Engineering Informatics, 2025.
  5. Action understanding in low-light and pitch-dark conditions: A comprehensive survey. Muhammad Munsif, Samee Ullah Khan, Noman Khan, Altaf Hussain, Min Je Kim, Sung Wook Baik. Engineering Applications of Artificial Intelligence, 2025.
  6. Contextual visual and motion salient fusion framework for action recognition in dark environments. Muhammad Munsif, Samee Ullah Khan, Noman Khan, Altaf Hussain, Min Je Kim, Sung Wook Baik. Knowledge-Based Systems, 2024.
  7. Optimized efficient attention-based network for facial expressions analysis in neurological health care. Muhammad Munsif, Muhammad Sajjad, Mohib Ullah, et al. Computers in Biology and Medicine, 2024.

View All Publications →

Education

Joint Master's and Ph.D. in Software Convergence — Sep 2021 – Feb 2026
Sejong University, Seoul, South Korea

Bachelor of Science in Computer Science — 2016 – 2020
Islamia College, Peshawar, Pakistan

Academic & Research Experience

Lead Researcher & Lab Coordinator (Lab Management, Students Co-supervision) — Apr 2023 – Feb 2026
Intelligent Media Lab, Daeyang AI Center, Sejong University, Seoul, South Korea

Teaching Assistant (Graduate Computer Vision & Intelligent Drone Courses) — Mar 2023 – Aug 2024
Department of Software, Sejong University, Seoul, South Korea

Research Assistant (NRF Projects) — Sep 2021 – Mar 2023
Intelligent Media Lab, Daeyang AI Center, Sejong University, Seoul, South Korea

Teaching Assistant (Undergraduate Digital Image Processing and ANN Courses) — Sep 2020 – Aug 2021
Dept of Computer Science, Islamia College Peshawar, Pakistan

Lab Coordinator & Research Assistant (Lab Management, DL & VR Projects) — Sep 2017 – Aug 2021
Digital Image Processing Lab, Islamia College Peshawar, Peshawar, Pakistan

Participated Projects

  1. Anomaly Behavior Recognition for Accident Prevention in the Connected Vision Environment — Jan 2023 – Feb 2026
    Role: Researcher | Funded by NRF of Korea (PID: RS-2023-NR076686)
  2. Brain Korea 21 (BK21 FOUR) Education Research Group for Intelligent Drones — Mar 2022 – Feb 2026
    Role: BK21 Scholar | Funded by the National Research Foundation of Korea
  3. Data HUB for Solid Electrolyte Materials Based on SyncroLab Data Cloud — Jul 2024 – Dec 2025
    Role: Researcher | Funded by NRF of Korea (PID: RS-2024-00446825)
  4. Development of a Recycling Technology for Lithium Iron Phosphate Batteries that Maximizes Carbon Dioxide Utilization — Sep 2023 – Apr 2024
    Role: Researcher | Funded by Ministry of Education, Korea (PID: 2020-R1-A6A1A03038540)
  5. DL-based Anomaly Detection and Predictive Maintenance Management System for Industrial Machinery — Jan 2023 – Jun 2023
    Role: Researcher | Funded by the Seoul R&D Program (PID: 2023R1A2C1005788)
  6. Open Platform Technology for Autonomous Participation of Energy Network Components — Sep 2021 – Dec 2023
    Role: Research Assistant | Funded by NRF of Korea (PID: 2019M3F2A1073179)
  7. Bridging the Early Diagnosis and Treatment Gap of Brain Diseases — Sep 2020 – Aug 2021
    Role: Research Assistant | Funded by the EU Horizon 2020 Research Innovation Program
  8. Virtual Reality-based Learning and Training Strategy for Children — Jan 2018 – Aug 2020
    Role: Research Assistant | Funded by the HCR Endowment Fund (PMUI-22/VOL-IV/3410)

Patents

  1. Sung Wook Baik, Min Je Kim, Muhammad Munsif, Altaf Hussain — Deep Learning-Based Refinement of Benchmark Datasets for Object Detection, 2025. Application Number: 10-2023-0067500
  2. Sung Wook Baik, Min Je Kim, Muhammad Munsif, Hikmat Yar — Method and Device for Proposing Multi-Stage Candidate Regions Based on Neural Network Structure Search for Object Detection, 2025. Application Number: DP250272
  3. Sung Wook Baik, Muhammad Munsif, Noman Khan, Altaf Hussain, Min Je Kim — Method for Dark-Adaptive Infrared-Based Activity Recognition in Industrial Applications, 2024. Application Number: DP250031
  4. Sung Wook Baik, Mi Young Lee, Muhammad Munsif, Samee Ullah Khan, Noman Khan, Min Je Kim — Method for Predicting Energy Production and Consumption Data Using Convolutional Neural Network Conversion Model, 2023. Application Number: 1020230067500. DOI: https://doi.org/10.8080/1020230067500

Awards

  • Outstanding Research Award — Feb 2026
    Sejong University, Seoul, South Korea
  • Best Paper Award — Nov 2025
    2025 Fall Conference, Standard Certification Safety Society, South Korea
  • Award of KRW 500,000 for Best Presentation on MS-COCO Dataset Quality Evaluation (Challenge Track) — Mar 2025
    Intelligent Media Laboratory (IM Lab), Sejong University, Seoul, South Korea
  • Fully Funded Master's and Ph.D Scholarship — Sep 2021 – Feb 2026
    Sejong University, Seoul, South Korea
  • BK21 Four Scholarship from National Research Foundation of Korea — Sep 2023 – Feb 2026
    Sejong University, Seoul, South Korea
  • Fully Funded Bachelor's Degree Scholarship from Higher Education Commission of Pakistan — Jan 2018 – Sep 2020
    Islamia College Peshawar, Pakistan
  • Laptop Award under Prime Minister's Laptop Scheme for Outstanding Students — 2019
    Higher Education Commission of Pakistan

Professional Certifications

Professional Memberships & Scholarly Review Contributions

IEEE (Institute of Electrical and Electronics Engineers) — 2023 – Present
Student Member | Member ID: 99765745
Active engagement in peer review, conferences, and professional development

MSCA Postdoctoral Fellowship Evaluator — 2024 – Present
Marie Skłodowska-Curie Actions (MSCA), European Commission
NeuroInsight Programme, Royal College of Surgeons in Ireland
Evaluated 3+ fellowship proposals for competitive EU research funding

Active Reviewer for Leading International Journals and Conferences — 2023 – Present
Total Reviews Completed: 100+ across top-tier venues in AI, Computer Vision, and Engineering

Reviewing venues:

  • IEEE Transactions on Image Processing (2+)
  • IEEE Transactions on Industrial Informatics (2+)
  • IEEE Transactions on Intelligent Transportation Systems (4+)
  • IEEE Transactions on Circuits and Systems for Video Technology (2+)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2+)
  • Engineering Applications of Artificial Intelligence, Elsevier (9+)
  • Expert Systems with Applications, Elsevier (6+)
  • Knowledge-Based Systems, Elsevier (11+)
  • Neurocomputing, Elsevier (7+)
  • Pattern Recognition, Elsevier (2+)
  • Neural Networks, Elsevier (5+)
  • Information Sciences, Elsevier (1+)
  • Computer Vision and Image Understanding, Elsevier (1+)