Electrical Engineering and Computer Science


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Main Campus
2008 Nitschke Hall
Mail Stop 308
2801 W. Bancroft St.
Toledo, OH 43606-3390
Phone: (419) 530-8140
Fax: (419) 530-8146

Dr. Vijay Devabhaktuni, P.E.



Contact Information

EECS Department
The University of Toledo
Toledo,OH 43606 
Tel: (419) 530-8172 
Office: NI 2062 
E-mail: Vijay.Devabhaktuni@utoledo.edu 

Recent Courses

  • EECS 2300 - Electric Circuits
  • EECS 2340 - Electric Circuits for Nonmajors
  • EECS 6980 - Computer Aided Modeling and Design of Circuits
  • EECS 8980 - Neural Networks: Theory and RF/Microwave Applications

Research Interests

Applied Electromagnetics, Biomedical Engineering, Computer Aided Design, Design Automation, Device Modeling, Environmental Modeling, High-Frequency Modeling, Image/Signal Proccessing, Non-Destructive Testing, Neural Networks, Optimization Algorithms, RF/Microwave Design, Sensing Devices, Sound Localization, and Wireless Networks.

Current Students

  • PhD: Abhishek Sahu, Colin Elkin, Osama Hussein, Praveen Damacharla, Ruthwik Junuthula
  • MS: Ayush Tiwari, Hem Regmi, Tashnim Chowdhury, Jahnavi Yalamanchili, Man Bhujel, Parashar Dhakal, Sai Nittala, Shahrukh Ashraf


Vijay Devabhaktuni received the B.Eng. degree in EEE and the M.Sc. degree in Physics from BITS, Pilani, in 1996, and the Ph.D. in Electronics from Carleton University, Canada, in 2003. During 2005-2008, he held the prestigious Canada Research Chair in Computer-Aided High-Frequency Modeling & Design at Concordia University. In 2008, he joined the EECS Department at The University of Toledo, where he is a Full Professor. Additionally, he is the Director of the College of Engineering for Interdisciplinary Research Initiatives. His interests include applied electromagnetics, biomedical engineering, computer aided design (CAD), data-2-decision, human machine teaming, machine learning, modeling, optimization, and virtual reality. He secured $5M external funding (sponsors include AFOSR, CFI, ODOT, NASA, NSERC, NSF, and industry). He co-authored 200+ papers and is advising 14 MS and PhD students. He has won several teaching excellence awards. Dr. Devabhaktuni is the Associate Editor of the International Journal of RF and Microwave Computer-Aided Engineering. He is a Senior Member of the IEEE.

Recent Publications

  • A. Sahu, V. Devabhaktuni, P. Aaen, and R. K. Mishra, “Recent advances in theory and applications of substrate-integrated waveguides: A review,” Int. J. RF Microw. CAE, vol. 26, no. 2, pp. 129-145, Feb. 2016.
  • Y. Kumar, J. Ringenberg, S. Depuru, V. Devabhaktuni, J. Lee, E. Nikolaidis, B. Andersen, and A. Afjeh, “Wind Energy: trends and enabling technologies,” Renewable Sustainable Energy Reviews, vol. 53, pp. 209-224, Jan. 2016.
  • L. Zhang, P. Aaen, T. Dhaene, A. Sahu, and V. Devabhaktuni, “An Introduction to evolutionary optimization for microwave engineering,” Wiley Encyclopedia Elect. Electron. Engg., Dec. 2015.
  • S. Adusumilli, D. Bhatt, H. Wang, P. Bhattacharya, and V. Devabhaktuni, “A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages,” Neurocomputing, vol. 166, pp. 185-192, Oct. 2015.
  • K. Alshamaileh, V. Devabhaktuni, and N. Dib, “Impedance-varying broadband 90° branch-line coupler with arbitrary coupling levels and higher-order harmonic suppression,” IEEE Trans Comp. Packag. Manufac. Tech., vol. 5, no. 10, pp. 1507-1515, Oct. 2015.
  • B. Snyder, J. Ringenberg, R. Green, V. Devabhaktuni, and M. Alam, “Evaluation and design of highly reliable and highly utilized cloud computing systems,” J. of Cloud Computing: Advances, Systems Applications, vol. 4, no. 11, May 2015.
  • R. Kumarasiri, K. Al-Shamaileh, N.H. Tran, and V. Devabhaktuni, “An improved hybrid RSS/TDOA wireless sensors localization technique utilizing Wi-Fi networks,” Mobile Networks Applications, vol. 21, no. 2, pp. 286-295, Jan. 2015.
  • J. Ringenberg, M. Deo, D. F. Rama, G. Pizarro, B. Ibañez, R. Peinado, J. L. Merino, F. Vadakkumpadan, O. Berenfeld, and V. Devabhaktuni, "Effects of fibrosis morphology on reentrant ventricular tachycardia inducibility and simulation fidelity in patient-derived models," Clinical Medicine Insights: Cardiology, vol. 8, no. 1, pp. 1-13, Sep. 2014.
  • M. Lakshminarayanan, W. Acosta, R. Green, and V. Devabhaktuni, “Strategic and suave processing for performing similarity joins using MapReduce,” J. of Supercomputing, vol. 69, issue 2, pp. 930-954, Aug. 2014.
  • A. Madanayake, C. Wijenayake, R. Joshi, M. Almalkawi, L. Belostotski, L. Bruton, and V. Devabhaktuni, “Electronically scanned RF-to-bits beam aperture arrays using 2-D IIR spatially bandpass digital filters,” Multidimensional Systems Signal Processing, vol. 25, no. 2, pp. 313-335, Apr. 2014.
  • B. Fernandes, D. Nims, and V. Devabhaktuni, “Comprehensive MMF-MFL inspection for corrosion detection and estimation in embedded prestressed strands,” J. of Civil Structural Health Monitoring, vol. 4, no. 1, pp. 43-55, Feb. 2014.
  • L. Cross, M. Almalkawi, and V. Devabhaktuni, “Theory and demonstration of narrowband bent hairpin filters integrated with AC-coupled plasma limiter elements,” IEEE Trans. Electromag. Comp., vol. 55, no. 6, pp. 1100-1106, Dec. 2013.
Last Updated: 4/30/18