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Shaping Character, Inspiring Truth
Director, AI Strategy Program Head, BS Artificial Intelligence Decision Sciences
asim.khuwaja@ksbl.edu.pk
Dr. Asim Khwaja leads artificial intelligence strategy and education at KSBL, where he holds three concurrent roles: Director of AI Strategy, Program Head for the BSAI (Bachelor of Science in Artificial Intelligence) program, and Assistant Professor of Decision Sciences.
In his institution-wide AI Strategy mandate, Dr. Khwaja oversees KSBL’s transition into the AI era across two fronts: redesigning administrative operations through intelligent automation, and restructuring how every program is taught to reflect the realities of learning and working in an AI-driven world. As Program Head, he has designed the BSAI program from the ground up — its curriculum architecture, program learning outcomes, and the intellectual philosophy underpinning it — with the program set to launch in Fall 2026. He has also designed an AI Minor available to students across all non-technology undergraduate programs, including BS Management & Entrepreneurship, BS Accounting & Finance, and BSITM. Beyond the minor, he has developed an AI Literacy Program for all management and accounting students, ensuring that every graduate of KSBL enters the workforce with meaningful AI competence regardless of their primary discipline.
Dr. Khwaja brings over 25 years of experience across academia and industry on three continents. His research background is in computer vision, machine learning, and neural systems, with a PhD from the Australian National University (Canberra) and a Master’s degree with a perfect 4.0 GPA from Arizona State University. Prior to academia, he worked as a Software Engineer at Intel Corporation and as a Software Systems Architect at Verizon Data Services in the United States — experience that grounds his teaching in real-world application. Earlier in his career he contributed to NASA’s Mars Global Surveyor project at ASU, processing sensor data transmitted from the spacecraft.
His current intellectual interests sit at the intersection of AI and society: how artificial intelligence reshapes learning, institutional strategy, workforce development, and the nature of human competence. He is an active practitioner as well as a theorist, maintaining hands-on proficiency in machine learning, generative AI, LLMs, agentic AI, and data analytics.
Ph.D., Information Sciences & Engineering (Computer Vision)
2012 | The Australian National University, Canberra, Australia
Thesis: Exploring the Visual System and its Applications in Image Reconstruction, Contrast Enhancement, and Object Recognition
MS, Computer Science (Computer Graphics, CAGD & Software Engineering)
1999 | Arizona State University, Tempe, Arizona, USA
Graduated with a cumulative GPA of 4.0/4.0
Thesis: Inverse Kinematics of Arbitrary Robotic Manipulators using Genetic Algorithms
BE, Electrical Engineering
1994 | N.E.D. University of Engineering and Technology, Karachi, Pakistan
Final Project: Optical Character Recognition using Artificial Neural Networks
KSBL, Karachi | Jul 2021 – Present
DHA Suffa University, Karachi | Dec 2019 – Jun 2021
National University of Sciences & Technology (NUST), Karachi | Apr 2014 – Dec 2019
University of Canberra, Australia | Aug 2011 – Dec 2013
NICTA Canberra Research Labs | Jun 2011 – Sep 2011
The Australian National University | Mar 2007 – Dec 2012
NUST, Karachi | Apr 2004 – Feb 2007
Intel Corporation, Chandler, Arizona, USA | Oct 2000 – Nov 2003
Verizon Data Services, Dallas, Texas, USA | Feb 1999 – Sep 2000
Arizona State University, Tempe, Arizona, USA | Jan 1996 – Dec 1998
Dr. Khwaja employs active learning, case-based teaching, and gamification across both physical and digital classrooms, consistently earning strong student feedback across institutions in three countries. He has implemented Moodle LMS with gamification plugins and cheat-proof assessment configurations for programming courses, and integrates real-world industry datasets into graduate capstone projects.
Dr. Khwaja has supervised capstone projects at both undergraduate and graduate levels in collaboration with industry partners undertaken by undergrad students of the B.E. Electrical Engineering program at NUST and grad students of MS in Business Analytics program at KSBL.
Graduate Projects – Business & Data Analytics
Undergrad Projects – Health Sciences
Dr. Khwaja’s research spans two interconnected domains. The first is AI, education, and society — examining how artificial intelligence transforms learning, institutions, workforce development, and human agency, with particular focus on higher education in Pakistan. The second is his foundational area of machine learning and computational perception — computer vision, neural systems, biologically-inspired algorithms, and their applications in image processing and recognition.
He is currently developing frameworks for AI-integrated curriculum design and institutional AI strategy, and actively supervises applied research through student capstone projects bridging data analytics, machine learning, and industry problems in finance, healthcare, and e-commerce.