Work Experience

• Assistant Professor 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)

Education

• 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

Membership & Affiliations:

• MEMBER, Core Committee Grad. Prog.
• HEAD, FYPs Committee (IBA Karachi)
• MEMBER, Faculty Search Committee, IBA
• MEMBER, Board of Studies, IBA, Khi.

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

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

Projects

List to come