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Faculty Profile

Engr. Dr. Babar Khan

Assistant Professor
Electrical Engineering

Engr. Dr. Babar Khan is an accomplished academic and researcher specializing in Control Engineering with a strong focus on Machine Learning, Neuromorphic Computing, and Digital Image Processing. He earned his PhD in Control Engineering from Donghua University, Shanghai, China, under the prestigious Chinese Government Scholarship, following his ME in Industrial Controls and Automation and BE in Electronics from Usman Institute of Technology (UIT), Karachi.

With over a decade of academic and professional experience, Dr. Babar Khan is currently serving as an Assistant Professor at UIT University, Karachi, and has also contributed as Visiting Faculty at different public and private universities. His teaching and research interests span Artificial Intelligence, Industrial Automation, Computer Vision, and Data Analytics. He is committed to delivering high-quality education, fostering innovation, and mentoring students for academic and professional excellence.

His professional vision centers on interdisciplinary innovation, impactful research, and meaningful contributions to engineering education and society.

  1. PhD (Control Engineering – Machine Learning) — Donghua University, China (Chinese Government Scholarship)
  2. ME (Industrial Controls and Automation) — Usman Institute of Technology, Karachi
  3. BE (Electronics) — Usman Institute of Technology, Karachi
  4. Certified Artificial Intelligence Developer (PIAIC)
  1. Assistant Professor — UIT University (2018 – Present)
  2. Visiting Faculty — Iqra University (Bahria Town Campus) (2023 – 2025)
  3. Researcher / PhD Scholar — Donghua University, China (2013 – 2017)
  4. Lecturer — Usman Institute of Technology (2012 – 2013)
  5. Lab Engineer — Usman Institute of Technology (2010 – 2012)
  6. Visiting Instructor — Government Monotechnic Institute, Karachi (2010 – 2011)
  1. Bio-inspired approach to invariant recognition and classification of fabric weave pattern and yarn color
  2. Fabric Weave Pattern and Yarn Color Recognition and Classification using a Deep ELM Network
  3. DDC Control Techniques for Three-Phase BLDC Motor Position Control
  4. Woven Fabric Pattern Recognition and Classification Based on Deep Convolutional Neural Networks
  5. Automatic and Invariant Recognition of Traffic Sign with Color-HMAX and Deep ELM Based Classifier
  6. Automatic Quality Inspection of Bakery Products based on Shape and Color Information
  7. Automatic Recognition and Classification of Granite Tiles Using Convolutional Neural Networks (CNN)
  8. An Economical Design Of Automatic Rice Grading Using Image Processing
  9. Counterfeit Recognition of Pakistani Currency
  10. Navigating the Education Landscape: Challenges and Solutions for Implementing Distance Learning in Pakistan Post-2020
  11. A Review of Recent Advances in Intelligent Neuromorphic Computing-Assisted Machine Learning for Automatic Anomaly Detection
  1. Principal Investigator — Erasmus+ KA171 International Credit Mobility Program (2025–2028), facilitating academic collaboration between UIT University and Maynooth University, Ireland
  2. Involved in multiple international grant proposals under Erasmus+ and Horizon Europe programs
  3. Reviewer — International journals in Artificial Intelligence, Signal Processing, and Engineering