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 and Coordinator, Final Year Project-Computer Science at Institute of Business Administration, Karachi (Jul-2020 to PRESENT)
  • Associate Professor at National Uni. of Computer and Emerging Sciences (Aug-2017 to Jun-2020)
  • Assistant Professor at National Uni. of Computer and Emerging Sciences (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), Université dÉvry-Paris-Saclay - 2011
  • MS (Virtual Reality and Intelligent Systems), Université dÉvry-Paris-Saclay - 2007
  • MS (Theoretical Computer Science), Mohammad Ali Jinnah University - 2006
  • BSCS , National University of Computer and Emerging Sciences - 2004

Research Interests

  • Computer Vision, Machine Learning

Courses Taught

  • COMPUTER VISION
  • DEEP LEARNING
  • FINAL YEAR PROJECT
  • FINAL YEAR PROJECT - CS
  • INTRODUCTION TO ARTIFICIAL INTELLIGENCE
  • INTRODUCTION TO IMAGE PROCESSING
  • INTRODUCTION TO COMPUTER VISION
  • MS THESIS - 1
  • MSCS/DS - PROJECT
  • MACHINE LEARNING-I (SUPERVISED LEARNING)
  • NEURAL NETWORKS AND DEEP LEARNING
  • OPERATING SYSTEMS
  • RESEARCH SURVEY

Research Output

Journal Publication(s)

  • Dr. Tahir Syed ,"Self-supervision for tabular data by learning to predict additive homoskedastic Gaussian noise as pretext",Transactions on Knowledge Discovery from Data,Jun 14, 2023,United States,
  • Dr. Tahir Syed ,"Real-time forecasting of petrol retail using dilated causal CNNs",Journal of Ambient Intelligence and Humanized Computing,Feb 28, 2022,,
  • 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)

      • Dr. Tahir Syed ,"Salat Activity Recognition on Smartphones using Convolutional Network",International Conference on Emerging Trends in Smart Technologies (ICETST),Sep 14, 2022,,
      • 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