Behroz Mirza, Ph.D.

Assistant Professor, Computer Science
Dhanani School of Science & Engineering


Dr. Behroz Mirza is a computer scientist, celebrated for his exceptional contributions and expertise in theoretical machine learning and generative modeling. He earned his Ph.D. in Computer Science from FAST-NUCES. His doctoral research focused on the intricate domain of theoretical machine learning, delving into advanced models of computation that have the potential to reshape the landscape of technology.

Building upon his doctoral foundation, Dr. Mirza holds a Master of Science degree in Computer Science from SZABIST. He did his MBA in Marketing and Finance from Mohammad Ali Jinnah University, reflecting his keen interest in bridging the gap between technology and business.

Dr. Mirza has been honored with a multitude of awards and distinctions throughout his academic journey. His notable achievements include being the recipient of 10 gold medals from SZABIST. His remarkable achievements were also acknowledged through publications in top-tier computer science journals, a recognition that speaks volumes about the depth and impact of his research.

He currently serves as the Head of Technical Program Management at Jubilee Life Insurance Ltd, where he navigates the intersection of technology and strategy with finesse. Dr. Mirza has held various roles that have further enriched his professional journey. He has been a Manager of SharePoint Management & Development at Jubilee Life Insurance Ltd. His passion for education has led him to impart his knowledge as a Visiting Faculty at prestigious institutions, including SZABIST and FAST-NUCES.

Dr. Mirza’s research prowess is underscored by an array of journal articles and conference publications that bear his name. His work encompasses cutting-edge topics such as deep generative models, task memorization for incremental learning, and the integration of self-supervision in tabular data analysis.

In addition to his academic and professional contributions, Dr. Behroz Mirza is a certified Project Management Professional (PMP) and a Sun Certified Java Programmer (SCJP).


  • Ph.D. in Computer Science, FAST-NUCES, 2015-2023
  • MS in Computer Science, SZABIST, 2010-2014
  • MBA in Marketing and Finance, Mohammad Ali Jinnah University, 2005-2009
  • BCS in Computer Science, SALU, 1997-2000


  • Certified Project Management (PMP), since 2009
  • Sun Certified Java Programmer (SJCP), since 2000

Teaching Experience

  • Visiting Faculty, SZABIST, FAST-NUCES, 2015-2018

Courses Taught

  • Theory of Computation
  • Advance Operating System
  • Object Oriented Programming
  • Deep Learning
  • Self-Supervised Learning
  • Incremental Learning
  • Theoretical Machine Learning


Journal Articles:

  • “Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges – A Practitioner’s Cookbook.” ACM Computing Surveys, Jan 2021.
  • “Deep Generative Models to Counter Class Imbalance: A Guided Model Selection Strategy.” IEEE Access, Jul 2020.
  • “Ladder Networks: Learning Under Massive Label Deficit.” International Journal of Advanced Computer Science and Applications, Jul 2017.
  • “Self-Supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext.” ACM Transactions on Knowledge Discovery from Data, June 2023.
  • “Task Memorization for Incremental Learning with a Common Neural Network Architecture.” Preprint available at Research Gate, Publication under review.

  • In Conference Proceedings:

  • “Hyper Controller! A Managed Manifestation of Semi Computability on Turing Machines.” In SZABIST’s 3rd International Research Conference on Computing, Dec 2013.
  • “Reflector – A Dynamic Manifestation of Turing Machines with Time/Space Complexity Analysis.” In SZABIST’s 3rd International Research Conference on Computing, Dec 2013.
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