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A research paper by a Harrisburg University of Science and Technology ISEM Ph.D. student has been published.   The conference paper, titled ‘Tensor Flow Model with Hybrid Optimization Algorithm for Solving Vehicle Routing Problem’, is authored by Jai Keerthy Chowlur Revanna in collaboration with his Thesis Supervisor, Dr. Nushwan Yousuf B. Al-Nakash.

The paper appears as a chapter in the conference proceedings, Inventive Systems and Controls, which is published by Springer Link.

The research employed state-of-the-art artificial intelligence techniques to optimize vehicle routes in the fields of logistics and transport, an essential problem facing the industry. The study utilized TensorFlow, an open-source machine learning library, and presented a hybrid optimization algorithm that minimizes both cost and resource consumption while enhancing the efficiency of vehicle routing.

“I am honored to have our research published on such a prestigious platform. Our commitment to innovation and the pursuit of solutions describes the study,” says Revanna. 

The research will be valuable for academicians and industry professionals alike, working towards optimizing vehicle routes.   The published paper is found here:

More on the Information Systems Engineering and Management (ISEM) Ph.D. program is found online at


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