Vijay Devabhaktuni, Ph.D.

Professor of Electrical Engineering and Department Chair

Introduction

Vijay is an advocate of experiential learning and industry engagement, and fosters research that addresses contemporary problems. As the ECE Chair, Vijay loves promoting faculty and student success.

Research Overview

Vijay’s R&D examples include (1) Applying cloud technologies in manufacturing; (2) Applying computers for energy efficient homes; (3) Applying machine learning to secure cyber data; (4) Applying neural network to optimize yield of electronic devices; (5) Applying virtual reality to medical education and UAVs and (6) Applying visualization for enhancing healthcare. His research is cited 4000 times.

I became an engineer because engineering entails applying math and physics theories to practice. Engineers can help enhance quality of life. By teaming with other diverse professionals (e.g. defense staff, medical doctors and social scientists), engineers can create wealth and save lives. Vijay likes chess, classical music, hiking, travel and yoga.

Publications

P. Damacharla, P. Dhakal, S. Stumbo, A. Javaid, S. Ganapathy, D. Malek, D. Hodge, and V. Devabhaktuni, “Effects of voice-based synthetic assistant on performance of emergency care providers in training,” International Journal of Artificial Intelligence in Education, vol. 29, no. 1, pp 122–143, March 2019.

B. Snyder, R. Green, V. Devabhaktuni, and M. Alam, “ReliaCloud-NS: A scalable, web-based simulation platform for evaluating the reliability of cloud computing systems,” Software: Practice and Experience, vol. 48, pp. 665-680, March 2018.

A. Sahu, P. Aaen, A. Lewandowski , M. Shkunov, G-P. Rigas, P. Blanchard, T. Wallis, and V. Devabhaktuni, “Robust microwave characterization of inkjet printed coplanar waveguides on flexible substrates,” IEEE Transactions on Instrumentation and Measurement, vol. 66, pp. 3271-3279, October 2017.

H. Regmi, J. Nesamony, and V. Devabhaktuni, “A new computational decision support system for material selection and real-time monitoring and evaluation of aseptic technique when compounding sterile preparations,” Springer Journal of Pharmaceutical Innovation, vol. 12, pp. 124-141, June 2017.

C. Elkin, R. Kumarasiri, D. Rawat, and V. Devabhaktuni, “Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach,” Ad Hoc Networks, vol. 54, pp. 30-41, January 2017.

T. Chowdhury, C. Elkin, V. Devabhaktuni, D. Rawat, and J. Oluoch, “Advances on localization techniques for wireless sensor networks: A survey,” Computer Networks, vol. 110, pp. 284-305, December 2016.

L. Zhang, P. Aaen, T. Dhaene, A. Sahu, and V. Devabhaktuni, “An introduction to evolutionary optimization for microwave engineering,” Wiley Encyclopedia of Electrical and Electronics Engineering, pp. 1-17, Dec. 2015.

Teaching Focus

At the graduate level, Vijay teaches Computer Aided Circuit Simulation. At the undergraduate level, he teaches linear circuits. Vijay won teaching excellence awards at Carleton University, University of Calgary, and University of Toledo.

Previous Roles

Prior to joining PNW, Vijay served in multiple roles at Univ. of Toledo: Director, Interdisciplinary Research Initiatives, College of Engineering; Senior Director, Research Development & Innovation, College of Medicine; Special Advisor to CIO & CTO on Experiential Learning.

Vijay Devabhaktuni

Contact

(219) 989-4190

vjdev@pnw.edu

Office Location:

Hammond Campus, POTT 323

Education

  • Ph.D. – Electrical Engineering, Carleton University (Ottawa, Canada)
  • M.Sc. – Physics, BITS (Pilani, India)
  • B.Eng. – Electrical and Electronics Engineering, BITS (Pilani, India)

Areas of Expertise

  • Applied electromagnetics
  • Design automation
  • Human machine teaming
  • Image processing
  • Machine learning
  • Structural health monitoring
  • Virtual reality

Credentials, Accreditations & Awards

  • T2 Canada Research Chair (2005)
  • NSERC Postdoctoral Fellow (2003)

Curriculum Vitae