Faculty Profile

Dr. Tahir Syed

Assistant Professor

Department: Computer Science

Specialization: Computer Vision, Machine Learning

Onboard Status: Available

Email: tqsyed@iba.edu.pk


Work Experience

  • Assistant Professor at Institute of Business Administration, Karachi (Jul-2020 to PRESENT)
  • Associate Professor at National University of Science & Technology (Aug-2017 to Jun-2020)
  • Assistant Professor at National University of Science & Technology (Jun-2012 to Jul-2017)
  • Assistant Professor at Académie de Versailles, Paris, France (Jun-2010 to May-2012)
  • Research Assistant at Académie de Versailles, Paris, France (Jan-2007 to Dec-2011)

Academic Qualification

  • PhD (Computer Vision, Machine Learning), Académie de Versailles, Paris, France - 2011
  • MS (Virtual Reality and Intelligent Systems), Académie de Versailles, Paris, France - 2007
  • MS (Theoretical Computer Science), Mohammad Ali Jinnah University - 2006
  • BCS (Computer Science), National University of Science & Technology - 2004

Research Interests

  • Computer Vision, Machine Learning

Courses Taught

  • FINAL YEAR PROJECT
  • FINAL YEAR PROJECT - CS
  • INTRODUCTION TO IMAGE PROCESSING
  • INTRODUCTION TO COMPUTER VISION
  • MACHINE LEARNING-I (SUPERVISED LEARNING)

Research Output


Journal Publication(s)

  • Behroz Mirza, Danish Haroon, Behraj Khan, Ali Padhani, Dr. Tahir Syed ,"Deep Generative Models to Counter Class Imbalance: A Model-Metric Mapping With Proportion Calibration Methodology",IEEE Access,Apr 17, 2021,,
  • Vincent Vigneron, Hichem Maaref, Dr. Tahir Syed ,"A new pooling Approach Based on Zeckendorf’s Theorem for Texture Transfer Information",Entropy,Feb 19, 2021,Switzerland,Basel
  • Syed M. H. Rizvi, Dr. Tahir Syed, Jalaluddin Qureshi ,"Real-time Forecasting of Petrol Retail using Dilated Causal CNNs",Journal of Ambient Intelligence and Humanized Computing,Feb 15, 2021,,
  • Behroz Mirza, Dr. Tahir Syed, Behraj Khan, Yameen Malik ,"Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges: A Practitioners’ Cookbook",ACM Computing Surveys,Jan 01, 2021,,

Case(s)


    Book(s)


      Conference(s)

      • Behraj Khan, Dr. Tahir Syed, Zeshan Khan, Muhammad Rafi ,"Textual analysis of End User License Agreement for red-flagging potentially malicious software",2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE),May 19, 2020,,

      Other(s)


        Projects

        List to come