AI Researcher · Computer Vision · Multimodal AI

Saifullah Tumrani

Postdoctoral researcher working across computer vision, multimodal AI, GenAI, medical imaging, vehicle re-identification, and AI systems. I build research that aims to be both rigorous and useful.

Email Me LinkedIn ResearchGate
Ph.D. Computer Science and Application Technology
Current Role Postdoctoral Researcher at KFUPM
Focus AI systems, vision, GenAI, medical imaging

About

Academic profile, research direction, and a short overview of recent work.

Research Interests

My research spans computer vision, multimodal AI, VAEs and generative AI, vehicle re-identification, AI systems, deep learning, neural architecture design, and medical imaging.

Computer Vision Multimodal AI GenAI / VAEs Vehicle Re-ID Medical Imaging AI Systems

Education

2017 – 2021
Ph.D., Computer Science and Application Technology
University of Electronic Science and Technology of China
2014 – 2016
M.Engg., Computer System Engineering
NED University of Engineering and Technology, Karachi
2009 – 2013
B.S., Electrical Engineering (Electronics)
FAST, Karachi

Experience

Research, teaching, and academic roles across Saudi Arabia, Estonia, Germany, Pakistan, and China.

Sep 2025 – Present
Postdoctoral Researcher
King Fahd University of Petroleum and Minerals, Saudi Arabia
Jan 2025 – Aug 2025
AI Researcher (Remote)
Artificial Intelligence Group, Hessian Flux OU, Tartu, Estonia
Aug 2023 – Dec 2024
Postdoctoral Researcher, Bioinformatics
Heidelberg University, Heidelberg, Germany
Feb 2022 – Jul 2023
Assistant Professor
Bahria University, Karachi, Pakistan
Feb 2021 – Jun 2021
Lecturer
KASBIT, Karachi, Pakistan
Sep 2017 – Dec 2021
Research Scholar
Centre For Future Media, University of Electronic Science and Technology of China

Selected Publications

A compact list for a personal site. You can expand this later into a full publications page.

Journal Articles

  1. Robust swin transformer for vehicle re-identification with dynamic feature fusion. Computers, Materials & Continua, 2025.
  2. Enhancing Sindhi word segmentation using subword representation learning and position-aware self-attention. IEEE Access, 2024.
  3. View-aware attribute guided network for vehicle re-identification. Multimedia Systems, 2023.
  4. Partial attention and multi-attribute learning for vehicle re-identification. Pattern Recognition Letters, 2020.

Conference Work

  1. Creating and evaluating resources for sentiment analysis in Sindhi. WASSA, 2021.
  2. A neural joint model for POS tagging and entity extraction. ICMLC, 2021.
  3. Two stream pose guided network for vehicle re-identification. IPMV, 2021.
  4. PEVR: Pose estimation for vehicle re-identification. APWeb-WAIM, 2020.

Skills and Teaching

Core tools, languages, review work, and courses taught.

Technical Skills

Python C++ PyTorch LaTeX Deep Learning Computer Vision Multimodal AI

Languages

English, Sindhi, Urdu, beginner Mandarin Chinese, beginner German.

Courses Taught

  • Artificial Intelligence
  • Deep Learning
  • Computer Vision
  • Introduction to Data Science
  • Artificial Neural Network and Fuzzy Logic
  • Parallel and Distributed Computing

Academic Service

Reviewing and community contributions across AI, vision, and applied computing venues.

  • Reviewer for Artificial Intelligence Review, Scientific Reports, Information Fusion, IEEE Access, and related journals.
  • Reviewer for IEEE Transactions on Intelligent Vehicles and IEEE Transactions on Industrial Cyber-Physical Systems.
  • Committee member for CMBDA 2022.
  • Guest speaker on AI topics including predictive healthcare and AI learning webinars.

Contact

For research collaboration, speaking, reviewing, student supervision, or consulting.