Engr. Khurram Khan

Lab Engineer


Engr. Khurram Khan is an experienced Electrical Engineer with two master’s degrees in electrical engineering from COMSATS and UET Taxila, Pakistan. With over Thirteen years of teaching and research experience, he has held various positions in renowned universities, such as NUST, FUUAST, and NUML in Pakistan. During his tenure as a lecturer, he successfully taught a wide range of courses, specializing in Electrical Engineering, computer programming, and applied mathematics. With a focus on hands-on education, he has supervised undergraduate final-year projects related to ASIC design, embedded systems, and IoT. During his academic pursuits, Engr. Khan conducted research on developing new AI algorithms, including a novel nonparametric split-merge clustering algorithm during his Master’s. He also worked on FPGA-based designing and implementing control techniques for MPPT Charge Controllers during his Bachelor’s. Engr. Khan has collaborated in research, and co-authored research articles in the field of machine learning, Numerical and device modeling. To further enhance his skills, Engr. Khan has pursued professional certificates in machine learning and AI Engineering from IBM. He has also completed his professional certificate in Mathematics for Machine Learning from Imperial College London. Currently, Engr. Khan’s research interests revolve around machine learning, pattern recognition, ASIC and SoC, and the Internet of Things.

Professional Appointments

  • Trainee Engineer, National Power control centre (NPCC, NTDC) Islamabad, 2010 - 2011
  • Junior Lecturer / Lab Engineer, Federal Urdu University of Arts Science & Technology (FUUAST), Islamabad, 2011 to 2018
  • Visiting Faculty, National University of Science and Technology (NUST), Islamabad, 2016 to 2017
  • Lecturer BPS-18 (Contract), Federal Urdu University of Arts Science & Technology (FUUAST), Islamabad, 2018 to 2019


  • M.Sc. Electrical Engineering, COMSATS University Islamabad, Wah Campus, Pakistan, 2023
  • M.Sc. Electrical Engineering, University of Engineering & Technology (UET), Taxila, Pakistan, 2016
  • B.Sc. Electrical Engineering, Federal Urdu University of Arts, Sciences & Technology, FUUAST, Islamabad, Pakistan, 2009

Research Interests

  • Machine learning, Pattern recognition, ASIC and SoC, IoT, Digital Systems Design, Electronics, and Control.


  1. “Effect of Cu2O hole transport layer and improved minority carrier lifetime on the efficiency enhancement of Cu2NiSnS4 based experimental solar cell”, J. Renew. Sustain. Energy. 10(4) (5 July 2018) 043502. doi:1063/1.5037471. Impact Factor: 1.511
  2. Efficiency enhancement of CH3NH3SnI3 solar cells by device modelling”, J. Electron. Mater. 47(9) (Sep 2018) 5275–5282. doi:1007/s11664-018-6406-3. Impact Factor: 1.676
  3. Effect of MAPbBr3 HTL and CBD deposited Cd1–x Znx S ETL band offset on lead halide perovskite solar cell”, Mater. Focus. 7(5) (Oct 2018) 610–616. doi:1166/mat.2018.1555.
  4. “Modelling of Existing and Candidate Hydro Power Plants Generation Expansion Planning using Wien Automatic System Planning-IV Model” Journal of Basic and Applied Scientific Research, ISSN 2090-4304, J. Basic. Appl. Sci. Res., 3(12)119-133, 2013.
  5. “Smart Grid Technology Management System with Emphasis on Increasing the Inverters Efficiency”, NUML Journal of Management and Technology, December 2012. ISSN 1997-4507
  6. “Overall Control System and Energy Management of an Inverter Based Smart Grid”, NUML Journal of Management and Technology, December 2012. ISSN 1997-4507

Research work / Projects

  • Novel nonparametric split-merge clustering algorithm for high dimensional datasets.
  • Design and Implementation of MPPT Charge Controllers for Commercially Available Photovoltaic Cell Technologies.
  • Diabetic Retinopathy Detection from Fundus Image using Deep CNN.

Awards & Prizes

  • 100% Graduate Merit Scholarship by COMSATS University Islamabad (1st Semester, Fall 2020).
  • 75% Graduate Merit Scholarship by COMSATS University Islamabad (2nd, 3rd, and 4th Semester, 2021-2022).
  • NPRP from Qatar National Research Fund (a member of Qatar Foundation) under Grant NPRP13S-0212-200345.
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