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Dr Adeel Yusuf
Assistant Professor
Department of Electronics and Power Engineering

National University of Sciences and Technology (NUST)
Habib Rehmatullah Road, Karachi
Tel : +92 331 3555167

Machine Learning

PhD Computer Engineering

Dr Adeel has been working in academia and industry for 10+ years. He has completed his PhD as a Fulbright scholar from the School of Electrical and Computer Engineering, Georgia Institute of Technology, USA in 2013. 
His research interests include Machine learning and Bio-medical engineering.
  • Design and development of algorithmic trading models.
  • Analysis of an automated document processing system for the design of optical character recognition system.
  • Design of Key Performance Indicators for software developers and development of software for KPI administration.
  • Design and development of Data Science tool for effective management of marketing campaign for Telco industry.
  • Design and simulation of novel Intelligent Transportation algorithms employing variable speed limits and traffic prediction for congestion alleviation on freeways.
  • Analysis of performance of FPGAs and DSPs in novel Bioinformatics applications.
  • Medical Image Analysis, Classification and Segmentation.
  • Distributed Application Processing Framework design for computational intensive mobile applications.
  • Text to Speech and Speech to Text integration in the Automotive HMI.
  • Audio/Video synchronization on multiple screens based on pattern detection.
  • Travel-time prediction on freeways based on advanced machine learning methods.​ 


  • Avery, John, and  Adeel Yusuf. "System for assigning a smartphone as a temporary key for a vehicle." U.S. Patent No. 9,595,145. 14 Mar. 2017.
  • Yusuf, Adeel, and John Avery. "Process for synchronizing audio playback on a smartphone with content displayed on a digital sign." U.S. Patent Application No. 14/695,451. 

Journal/Conference Articles 

  • Farhi, Lubna, Adeel Yusuf, and Rana Hammad Raza. "Adaptive stochastic segmentation via energy-convergence for brain tumor in MR images." Journal of Visual Communication and Image Representation 46 (2017): 303-311.
  • Farhi, Lubna, and Adeel Yusuf. "Comparison of brain tumor MRI classification methods using probabilistic features." Biomedical Engineering (BioMed), 2017 13th IASTED International Conference on. IEEE, 2017.
  • Yusuf, A. and Avery, J., "On the Hybrid Framework of Personalization Data for the Automotive HMI," SAE Technical Paper 2014-01-0276, 2014, doi:10.4271/2014-01-0276.
  • Yusuf, Adeel. "Advanced machine learning models for online travel-time prediction on freeways." Diss. Georgia Institute of Technology, Atlanta, 2013. Dissertations and Theses. Web. 19 November 2013.
  • A. Yusuf and V. Madisetti, "Configuration for Predicting Travel-Time Using Wavelet Packets and Support Vector Regression," Journal of Transportation Technologies, Vol. 3 No. 3, 2013, pp. 220-231, doi:10.4236/jtts.2013.33023.
  • Yusuf, Adeel, Dawood Khan, and Shoab A. Khan. "Prediction of Protein Coding Regions on a Programmable VLIW Architecture," Biotechnology and Bioinformatics Symposium, 2006, pp. 54-59.
  • Yusuf, A; Khan, S.A, "Hardware Accelerator for Prediction of Exons," Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, vol., no., pp.2709, 2712, Aug. 30 2006-Sept. 3 2006, doi: 10.1109/IEMBS.2006.260074.
EE-891   Stochastic Systems

CSE-867  Advanced Algorithms Design & Analysis

CSE-804  Machine Learning

EE-831    Advanced Digital Signal Processing

2015 - 2016  Data Science/Business Analytics consultant with Binary Vibes, Karachi.

2012 - 2013   Co-Op at Panasonic Innovation Center; worked on the collaborative filtering models, client server framework for automotive applications and the personalized automotive HMI design and development.

Fall 2008       Co-Op at The MathWorks Inc.; worked with the bioinformatics toolbox development group on Matlab function development.