Curriculum vitae

Positions

• Sep 2025–Postdoctoral ResearcherVision & Learning Lab, Ulsan National Institute of Science and Technology (UNIST)Medical Image Analysis, Dexterous grasp generation, and Hand–object understanding.Advisor: Prof. Dr. Seungryul Baek.
• 2021–2025Doctoral ResearcherPervasive Intelligence Lab, Sangmyung University)Led two Google Korea (Pixel Camera team) research projects on ghosting-artifact quality metrics and removal for mobile imaging, 2023–2025.Advisor: Prof. Dr. Heemin Park.
• 2019–2021LecturerInstitute of Southern Punjab, Multan, PakistanTaught undergraduate courses and supervised undergraduate projects.

Education

• 2025Ph.D. in Software (Deep Learning & Computer Vision), Sangmyung University, KoreaDissertation: Efficient and Interpretable Deep Learning Frameworks for Resource-Constrained and Time-Sensitive Vision Applications.Advisor: Prof. Dr. Heemin Park.
• 2019M.S. in Information Technology, National University of Sciences and Technology (NUST), Islamabad, PakistanThesis: Prediction-Based Target Tracking in Wireless Sensor Networks.Advisor: Prof. Dr. Muazzam A. Khan Khattak.
• 2014B.Sc. in Computer Engineering, COMSATS Institute of Information Technology, Lahore, Pakistan

Funding and honors

• 20262nd place, Dexterous Grasp Motion Challenge, HANDS Workshop at ECCV 2026 (team UVLL HandDex)
• 2024–2025Google Korea Research Grant, Pixel Camera team: post-processing methods for artifact removal
• 2023–2024Google Korea Research Grant, Pixel Camera team: objective quality metrics for ghosting artifacts
• 2023Best Paper Award, Korea Computer Congress (FireXplainer)
• 2021–2025Professor Scholarship for Ph.D. studies, Sangmyung University
• 2022–2023DURE Scholarship for international collaboration with Mongolia
• 2021–2022Teaching Assistant Scholarship, Department of Software, Sangmyung University

Publications

Competitions and Datasets

• 2026Dexterous Grasp Motion Challenge, HANDS Workshop at ECCV 20262nd place overall with team UVLL HandDex; highest easy-track score on the leaderboard. Single-shot trajectory warping with a reinforcement-learned warp for the LinkerHand O6.
• 2026RSNA 2026 Knee Abnormality Detection, KaggleOngoing. Ensembles of 2.5D attention-based multiple-instance models and 3D networks for multi-label knee-MRI abnormality detection.
• 2025M-GAID, Mobile Ghosting Artifact Imaging Dataset2,520 images across 87 real-world scenes captured with mobile devices, annotated at the patch level for high- and low-frequency ghosting artifacts. High-frequency set, low-frequency set.

Teaching and mentoring

• 2021–2022Teaching Assistant, Department of Software, Sangmyung University
• 2019–2021Lecturer, Institute of Southern Punjab; supervised and mentored undergraduate students

Skills

• FrameworksPyTorch (multi-GPU, DDP), TensorFlow and Keras, Hugging Face Transformers, PEFT (LoRA, QLoRA), MLflow
• Medical image analysisMRI and chest X-ray analysis, segmentation and multi-label classification, multimodal fusion, selective state-space models, uncertainty-aware prediction
• Embodied vision and roboticsDexterous grasp-motion generation, reinforcement learning (PPO) in Isaac Gym, hand–object interaction, 3D human meshes and Gaussian avatars
• Vision-language modelsFine-tuning, evaluation and benchmark design for fine-grained spatial reasoning
• Explainable AIGrad-CAM, LIME, Integrated Gradients, feature-attribution analysis
• Detection and trackingYOLO family, Faster R-CNN, DeepSORT and ByteTrack, real-time deployment
• DataDataset design and annotation pipelines, quality metrics, model-assisted labeling
• InfrastructureCUDA, Google Cloud Platform, Linux, Git, LaTeX