Lecturer at International Islamic University Islamabad Pakistan
Dr. Wajid Ali is an emerging scholar in Technology Management with an interdisciplinary background in engineering and management sciences. With a PhD in Management Sciences (Technology Management) from the International Islamic University, Islamabad (2025), Dr. Ali has made significant research contributions in the domain of Artificial Intelligence (AI) readiness, organizational performance, and innovation strategy. His scholarly work spans over seven peer-reviewed publications and systematic literature reviews, highlighting his deep commitment to bridging engineering principles with management innovation. Beyond academia, Dr. Ali’s professional journey includes hands-on industrial experience in mechanical maintenance and instructional roles in top Pakistani universities. His blend of academic prowess and technical expertise makes him a rising leader in AI-based transformation in public and private sectors. A strong advocate for interdisciplinary growth, he continues to contribute to research and teaching that advances technology-driven management solutions for emerging economies.
Publication Profile
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Education
Dr. Wajid Ali holds a Ph.D. in Management Sciences with a focus on Technology Management from the International Islamic University, Islamabad (2025), where he maintained a CGPA of 3.50/4.00. He earned his MS in Engineering Management from The University of Lahore in 2019 with a CGPA of 3.40/4.00 and a B.Sc. in Mechanical Engineering & Technology in 2016. Earlier, he completed a D.A.E in Mechanical Technology from the Punjab Board of Technical Education in 2012 with a commendable 75% and received a Diploma in Computer Science in 2011 with an 81% score. He also cleared the Class Three Boiler Engineer examination in 2018 and obtained his SSC (Science Group) in 2009. This solid academic foundation across engineering, management, and computing reflects Dr. Ali’s diverse capabilities and underpins his research in AI-driven technological innovation and efficiency in organizations.
Experience
Dr. Wajid Ali has over six years of professional experience blending academia and industry. He has served as a visiting lecturer at the International Islamic University Islamabad and Fatima Jinnah Women’s University Rawalpindi for two years, where he taught across Management Sciences, Engineering, and Social Sciences. His responsibilities extended to administrative duties, test supervision, seminar organization, and curriculum planning. Additionally, Dr. Ali boasts 3 years and 8 months of practical experience as a mechanical maintenance technician. His industrial tenure includes critical outage projects at renowned power plants like Kot Addu Power Company (KAPCO), Roush Power Plant, Fuji Kabir Wala Power Plant, and others. From 2016 to 2018, he was engaged in operational and maintenance roles at SKAIKHU Sugar Mills LTD. His internships at KAPCO and GENCO-3 further enriched his engineering experience. This multidisciplinary exposure shapes his innovative and grounded research in AI readiness and performance optimization.
Awards and Honors
While formal awards have not been explicitly listed in his profile, Dr. Wajid Ali’s rapid progression through academic ranks, strong publication record, and diverse professional experience are indicative of his emerging stature in the field of technology management research. He has gained recognition through publication in reputed journals such as Data Science and Management, Journal of Business and Management Research, and International Journal of Business and Management Sciences. His contribution as a co-author in collaborative research projects reflects his growing academic network and influence. His teaching roles at top institutions and involvement in cross-functional academic initiatives also highlight institutional trust in his expertise. Given his Ph.D. completion in 2025 and multiple publications during the doctoral phase, Dr. Ali is a compelling candidate for the Emerging Research Star Award, which aims to celebrate promising early-career researchers who demonstrate leadership and innovation potential.
Research Focus
Dr. Wajid Ali’s research centers on Artificial Intelligence (AI) Readiness, Technology Management, and Organizational Performance. His investigations aim to uncover how public sector and transformational organizations can strategically prepare for and leverage AI integration. Through expert surveys, literature reviews, and empirical models, he explores critical success factors influencing AI adoption, cost efficiency, and the mediating role of control systems. His work also delves into emotional intelligence, team dynamics, and their impact on project success—bridging human factors with technological transitions. Dr. Ali’s interdisciplinary approach combines engineering management tools with data-driven strategic planning. His growing body of work addresses both theoretical frameworks and practical challenges facing institutions undergoing digital transformation. As organizations worldwide increasingly adopt AI, Dr. Ali’s research offers timely, actionable insights into readiness metrics, cost control, and innovative strategies that optimize performance in both emerging and established economies.
Publication Top Notes
Laws Governed Role Of Artificial Intelligence And Machine Learning In Supply Chain Management
Factors influencing readiness for artificial intelligence: a systematic literature review
THE DETERMINANTS OF CONSUMERS’ONLINE SHOPPING BEHAVIOUR: AN EMPIRICAL ASSESSMENT
Empowering Small and Medium Enterprises Performance Through Dynamic Marketing Strategies and Innovations
The influence of emotional intelligence and team building on project success
Exploring Artificial Intelligence Readiness Framework for Public Sector Organizations: An Expert Opinion Methodology
Assessment of community perceptions on drinking water quality and its implications for human health in Islamabad, Pakistan: A comprehensive analysis
Critical Artificial Intelligence Readiness Factors in Context of Public Sector Organizations: An Expert Opinion Survey