Muhammad Farhan

Associate Professor

Ph.D., Tampere University of Technology

Campus Image

Education

  • D.Sc. (Doctor of Science in Technology), Department of Signal Processing, Tampere University of Technology, Finland (2010–2014) — Major: Image Processing, Pattern Recognition and Machine Learning; Minor: Signal Processing. Thesis: Image Analysis and Statistical Modeling for Applications in Cytometry and Bioprocess Control
  • M.Sc. in Information Technology, Department of Signal Processing, Tampere University of Technology, Finland (2008–2010) — Thesis: Automated Clump Splitting for Biological Cell Segmentation in Microscopy Using Image Analysis
  • B.E. in Electronic Engineering, NED University of Engineering and Technology (NEDUET), Karachi, Pakistan (2003–2006)

Research Interests

  • Digital Image Processing
  • Computer Vision
  • Pattern Recognition
  • Machine Learning
  • Mechatronics and Embedded Systems
  • Statistical Signal Processing
  • Digital Filtering
  • Systems Biology

Biography

Dr. Muhammad Farhan has been Program Director of Habib University’s Electrical and Computer Engineering program since August 2023, overseeing both the EE and CE majors. He also served as Assistant Dean of the Dhanani School of Science and Engineering (August 2024–July 2025), leading the school across its EE, CE, CS, and ISciM programs and organizing the DSSE Undergraduate Research Symposium 2025. He has been Associate Professor since September 2022, having joined Habib as Assistant Professor of Electrical and Computer Engineering in February 2017; in that time he developed new EE/CS electives in Image Processing and Computer Vision, redesigned the Engineering, Innovation and Design course as a springboard to Capstone projects, and led outcome-based-education (OBE) compliance efforts for PEC accreditation.

Before Habib, Dr. Farhan was Assistant Professor and, briefly, Acting Head of the Electrical Engineering Department at the Institute of Business Management (IoBM), Karachi (2015–2017). He completed his doctoral and master’s research at the Department of Signal Processing, Tampere University of Technology, Finland (2008–2014), working on automated image analysis for biomedical microscopy and bioprocess modeling, and began his career as Assistant Manager at the Digital Systems Laboratory of Pakistan’s Space and Upper Atmosphere Research Commission (SUPARCO) (2007–2008).

Dr. Farhan received Habib University’s inaugural Teaching Excellence Award for the School of Science and Engineering, and continues to publish actively in computer vision and applied machine learning, including recent work on object detection, agricultural pest management, and camouflaged-object detection.


Selected Publications

  • S.M.A.A. Jaffri, M. ul Haq, M. Farhan. “Enhancing Object Detection in Low Light Environments Using Image Enhancement Techniques and YOLO Architectures.” INMIC, Karachi, 2024.
  • S.M. Hussain, S.A. Zaidi, A. Hyder, S.M.A. Rizvi, M. Farhan. “Enhanced Camouflaged Object Detection for Agricultural Pest Management.” IBCAST, Islamabad, 2024.
  • M.Z. Yousuf, S.T. Wasim, S.N. Hasany, M. Farhan. “AR-VPT: Simple Auto-Regressive Prompts for Adapting Frozen ViTs to Videos.” VISIGRAPP (VISAPP), 2024.
  • H. Siddiqui, H. Irfan, A.S. Lakhani, et al., M. Farhan. “Manifest: A Virtual Reality based Public Speaking Trainer.” IEEE ISMAR, Sydney, 2023.
  • M. Farhan, P. Ruusuvuori, M. Emmenlauer, et al. “Multi-scale Gaussian Representation and Outline-Learning Based Cell Image Segmentation.” BMC Bioinformatics, 14(Suppl 10):S6, 2013.
  • M. Farhan, O. Yli-Harja, A. Niemistö. “A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search.” Pattern Recognition, 46(3), 2013.

Honors & Awards

  • Habib University Inaugural Teaching Excellence Award, School of Science and Engineering
  • TUT completion incentive for D.Sc. finished in 3.5 years
  • NOKIA Foundation research scholarship, 2012
  • TISE Graduate Student Travel Grant (full Ph.D. period)
  • 3rd position, poster competition, AMBIA Summer School, 2011
  • HEC-approved Ph.D. supervisor

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