Jay Rajasekera

Vice President of TIU
Dean of Graduate School of Digital Business & Innovation

Professor of Digital Business & Strategy

Ph.D. – North Carolina State University

Ph.D – North Carolina State University
Teaching & Research Interests

Digital Business, Digital Entrepreneurship, Digital Solutions in Medical and Fintech, Algorithm Design; Entropy Applications in AI and Image and Video Diagnostics, IT for Development and Sustainability, Digital Thinking Based of Big Data and Analytics.

Academic Appointments
2018 – Professor of Digital Business and Strategy; Dean Grad. Sch. of Business and Commerce; Vice President, TIU; Instrumental in establishing Digital Business and Innovation program in TIU. Instrumental in establishing TIU-Tech Mahindra Innovation Lab at TIU.
1991-2017 Graduate School of International Management, International University of Japan (Served as Professor of Digital Business Strategy, Dean of IUJ Business School, Vice President of IUJ; During the tenure as Dean, IUJ B-School became Japan’s only B-School ranked in the “Top 100 B-Schools of the World” list published by prestigious Economist Ranking. )
1984-1995 AT&T Bell Laboratories, Princeton, NJ, USA (Patented the design algorithm for the construction of world’s first optical cable system TTT-8, between US and Europe. Reportedly, world’s first demonstrations of Internet too, was done using this cable. Good percent of world internet traffic carried over optical cables built using this algorithm).
Fellowships & Grants
Business Hub to Support Local Business Entrepreneurship (Japanese Govt + Minamiuonuma City, Niigata)
Hand-held Devices and Apps for Enhancing Nursing Care in Developing Countries (Kaken grant)
Distance Education System to Support Development and Education of Co-medical Professionals in Developing Countries (Kaken grant)
Internet Governance and Linguistic Diversity (Japan Science and Technology Agency – JST grant)
1990 Special Contribution Award by Bell Laboratories.
1988 Special Contribution Award by Bell Laboratories.
Selected Publications/Conference Papers


Rajasekera, J., Pemajavantha, V., Mellor, R., & Peiris, S. (2004). Current research in modeling, data mining & quantitative techniques. Sydney: University of Western Sydney.

Rajasekera, J., Hashiba, N., & Yamakawa, S. (2000). Application development with VisualAge for Java. Tokyo: Toppan Japan.

Rajasekera, J., Feng, S.C., & Tsao, H.S.J. (1997). Entropy optimization and mathematical programming. Dordrecht, the Netherlands: Kluwer Academic Publishers.

Rajasekera, J. & Yamada, M. (1993). Portfolio optimization with the Entropy Criterion. Tokyo, Japan: QUICK Research Institute.

Book Chapters:

Rajasekera, J., & Pemajavantha, V. (2004). Filtering corrupt data with a statistical catalyst agent. Current Research on Modeling, Data Mining and Quantitative Techniques (pp. 47-62), V. Pemajavantha, & R. Mellor (Eds.). Sydney, Australia: University of Western Sydney.

Journal and Magazine Articles:

Rajasekera, J. (2023). Enhancing Productivity through DXPO. Asia Productivity Organization (https://doi.org/10.61145/QVZD3060)

Sharkasi, N., Chau, N. V. H., & Rajasekera, J. (2023). Export Potential Analysis of Vietnamese Bottled Coconut Water by Incorporating Criteria Weights of MCDM into the Gravity of Trade Model. Sustainability, 15(15), 11780.

Kodithuwakku, J., Arachchi, D. D., & Rajasekera, J. (2022). An Emotion and Attention Recognition System to Classify the Level of Engagement to a Video Conversation by Participants in Real Time Using Machine Learning Models and Utilizing a Neural Accelerator Chip. Algorithms, 15(5), 150.

Zhang-Zhang, Y., Rohlfer, S., & Rajasekera, J. (2020). An eco-systematic view of cross-sector fintech: The case of Alibaba and Tencent. Sustainability, 12(21), 8907.

Htet, M., Yee, P. T., & Rajasekera, J. R. (2020, November). Blockchain based digital identity management system: A case study of Myanmar. In 2020 International Conference on Advanced Information Technologies (ICAIT) (pp. 42-47). IEEE.

Rajasekera, J., Mishal, A. V., & Mori, Y. (2020). Innovative mHealth solution for reliable patient data empowering rural healthcare in developing countries. Big Data Analytics in Healthcare, 83-104.

Sharkasi, N., Rajasekera, J., & Sumita, U. (2018). Optimizing Expected Profit Under Flexible Allocation of Campaign Days and Budget for Management of Shopping Centers: A Machine Learning Approach. International Journal of Business and Information, 13(2), 191-222.

Rajasekera, J., & Karunasena, H. (2015). Apparel design optimization for global market: Kansei engineering preference model. Journal of Affective Engineering, 14(2), 119-126.

Rajasekera, J., Tsujimura, H., Mori, Y., Miyakoshi, S., Pathiranage, D., & Rathnayake, U. W. S. (2014). Distance education for supporting nurse training in developing countries – Assessment of nursing techniques for postural change using Skype in Sri Lanka. The Kitakanto Medical Journal, 64(1), 44-57.

Rajasekera, J., Tsujimura, H., Mori, Y., Miyakoshi, S., Pathiranage, D., & Rathnayake, U. W. S. (2014). Distance education for supporting nurse training in developing countries. The Kitakanto Medical Journal, 64(1), 57-66.

Rajasekera, J. (2013). Challenges to Toyota caused by recall problems, social networks, and digitization. Asian Academy of Management Journal, 18(1), 1-17.

Rajasekera, J. (2011). Japan crisis: A test of the sensitivity of global supply chains. Effective Executive, 14(6), 12-16.

Rajasekera, J. (2010). Toyota type value co-creation in digital businesses using social networks. Effective Executive, 13(4), 22-28.

Rajasekera, J., & Dayal, S. (2010). Using Kansei engineering with new JIT to accomplish cost advantage. International Journal of Biometrics, 2(2), 163-172.

Rajasekera, J., Akter, Md. S., & Rahman, Md. M. (2010). Serving the poor by marketing information: Developing a sustainable village phone model in Bangladesh. International Journal of Economics and Business Research, 2(3/4), 288-309.

Rajasekera, J. (2010). What dilutes the innovation party? Case of Japan. Effective Executive, 13(1), 18-23.

Rajasekera, J. (2009). The Japan model: Applied elsewhere? Effective Executive, 12(12), 12-14.

Rajasekera, J. (2008). Business cooperation between India and Japan in relation to small and medium enterprises. Effective Executive, 11(2), 35-40.

Rajasekera, J., Takezawa, N., & So, K.C. (2007). Risk hedging through forward supply contract and equity ownership in a spin-off decision. International Journal of Production Economics, 106, 532-543.

Rajasekera, J. (2005). Modeling aspects of Japan’s corporate restructuring. Technical Report of Modeling and Simulation Research, 2(1), 15-22. ISSN 1449-5694

Rajasekera, J. (2003). Evolving strategic framework for IT services in Japan. Global Journal of Flexible Systems Management, 4(1/2), 9-14.

Rajasekera, J., & Yamada, M. (2001). Estimating firm value distribution function by entropy optimization and geometric programming. Annals of Operations Research, 105, 61-75.

Rajasekera, J. (1998). Strategic challenges for Internet banking in Japan and Singapore – Anything to learn from the US? Monash Mt. Eliza Business Review, 1(2), 50-55.

Rajasekera, J. (1995). Interactive scheduling and managing a factory with shopload charts. Japan OR Society Journal, 40(5), 250-254.

Rajasekera, J. (1995, July 11). Endaka + outsourcing = Higher profits. The Asian Wall Street Journal, p. 10. (Download PDF)

Rajasekera, J., & Fang, S.C. (1995). Entropy optimization models with convex constraints. Information and Computations Journal, 116(2), 304-311.

Rajasekera, J., & Fang, S.C. (1995). A new approach to tolerance allocation in design cost analysis. Engineering Optimization Journal, 24, 283-291.

Rajasekera, J., Sumita U., & Kuratani T. (1993). EDI networks from customer to factory floor. EDI Europe Journal, 3(1), 27-35.

Rajasekera, J., & Fang, S.C. (1992). Deriving an unconstrained convex program for linear programming. Journal of Optimization Theory and Applications, 75(3), 609-612.

Rajasekera, J., & Fang, S.C. (1992). Minimum cross-entropy analysis with entropy-type constraints. Journal of Computational and Applied Mathematics, 39, 165-178.

Rajasekera, J., & Fang, S.C. (1991). On convex programming approach to linear programming. Operations Research Letters, 10(6), 309-312.

Rajasekera, J., Murr, M.R., & So, K.C. (1991). A due date assignment model for a flow shop with application in a lightguide cable shop. Journal of Manufacturing Systems, 10(1), 1-7.

Rajasekera, J. (1990). Outline of a quality plan for industrial R&D projects. IEEE Engineering Management, 37(3), 191-197.

Rajasekera, J., & Fang, S.C. (1990). On the quadratically constrained information theoretic analysis. International Journal of Systems Sciences, 21(3), 587-591.

Rajasekera, J., & Fang, S.C. (1989). Quadratically constrained minimum cross-entropy analysis. Math Programming, 44, 85-96.

Rajasekera, J., & Fang, S.C. (1989). Quadratic program with a single quadratic constraint. Journal of Chinese IIE, 6, 37-42.

Rajasekera, J., & Fang, S.C. (1988). Controlled dual perturbations for Posynomial Programming. European Journal of Operational Research, 35, 111-117.

Rajasekera, J., & Fang, S.C. (1988). A perturbation approach to the main duality theorem of quadratic geometric programming. ZOR Theory, 31, 103-118.

Rajasekera, J., & Fang, S.C. (1986). Controlled dual perturbations for lp-programming. ZOR Theory, 30, 29-42.

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