Current Postdoc

Dr. Eren Balevi received the B.S., M.S., and Ph.D. degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2008, 2010 and 2016 respectively. He is currently a postdoctoral scholar in the Electrical Engineering Department at University of South Florida. His current research interests are in the general areas of 5G wireless systems and the Internet of Things in addition to the general areas of molecular communications, multi-user wireless communications and signal processing.

Below is a list of Eren's publications:

[1]Eren Balevi and R. D. Gitlin, "An Inherent Fog Network Brain-Spinal Cord-Nerve Networks," IEEE Access,Dec 2018, DOI: 10.1109/ACCESS.2018.2800679.

[2]Eren Balevi and R. D. Gitlin, "Synergies between Cloud-Fog-Thing and Brain-Spinal Cord-Nerve Networks," Information Theory and Applications Workshop (ITA), 2018, San Diego, CA, February 2018, PDF.

[3]Eren Balevi and R. D. Gitlin, "Optimizing the Number of Fog Nodes for Cloud-Fog-Thing Networks," IEEE , February 2018, San Diego, CA.DOI: 10.1109/ACCESS.2018.2808598.

[4] Eren Balevi and R. D. Gitlin, "Unsupervised Machine Learning in 5G Networks for Low Latency Communications," IEEE International Performance Computing and Communications Conference-IPCCC-2017, December 2017, San Diego, CA. PDF..

[5] Eren Balevi and R. D. Gitlin, "Performance Analysis of Local Anchor Based 5G HetNets Using Stochastic Geometry," International Journal of Wireless & Mobile Networks (IJWMN) Vol. 9, No. 5, October 2017 PDF..

[6] E. Balevi and A. O. Yilmaz, "A Novel Practical CP Based Mismatched MMSE Equalization," IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, March 2017.

[7] E. Balevi and A. O. Yilmaz, "Quantifying The Improvement of MMSE Equalizers by Faster Sampling Rates," IEEE SIU, Antalya, Turkey, 2017.

[8] E. Balevi and A. O. Yilmaz, "Analysis of frequency domain oversampled MMSE SC-FDE," IEEE Commun. Lett., vol. 20, no. 2, pp. 232-235, Feb. 2016.

[9] E. Balevi, O. B. Akan, "A Physical Channel Model for Nanoscale Neurospike Communication", IEEE Trans. Commun., vol. 61, pp. 1178-87, 2013.

Previous Postdocs

Dr. Adam L. Anderson received the B.S. and M.S. degrees from Brigham Young University, in 2002 and 2004, respectively, and the Ph.D. degree from the University of California at San Diego, La Jolla, CA, USA, in 2008, all in electrical engineering. After graduating, he worked at the University of South Florida (USF), Tampa, FL as a postdoc and then as a Research Assistant Professor. He is currently a Senior Embedded RF Systems Engineer at Oak Ridge National Laboratory, Oak Ridge, TN with a Joint Faculty Appointment at Tennessee Tech University (TTU), Cookeville, TN. Dr. Anderson was the winner of the 2014 DARPA Spectrum Challenge, recipient of the 2014 Leighton E. Sissom Award for Creativity and Innovation, and is currently an open track team lead in the 2017 DARPA Spectrum Collaboration Challenge. His research interests focus on atypical uses of spectrum for digital communications and other fields with emphasis on security and adaptability.


Dr. Thomas Ketterl is a research associate with over 14 years of experience in RF circuits and systems design, RF MEMS circuits research, acoustic electronics, and complete sensor development and design. Before joining the iWINLAB team, he worked at USF's Center of Ocean Technology for 10 years developing novel RF MEMS switches and wireless telemetry systems, acoustic transceiver systems for low noise ocean communications using polymer piezoelectric materials, and modular, multisensor biologging devices for marine mammal tagging applications. Prior to his schooling and work at USF, he worked as an electronics test and fabrication engineer at BMV in Munich, Germany.

Dr. Ketterl is a member of the IEEE, Tau Beta Pi Engineering Honors Society, and Sigma Xi Research Society. He received a B.S. in Ocean Engineering from the Florida Atlantic University in 1994 and his M.S and Ph.D. in Electrical Engineering at USF in 2000 and 2006, respectively. For more information about Dr. Ketterl click here.


Dr. Kemal Davaslioglu received the B.S. degree from Bilkent University, Ankara, Turkey, in 2008 and the M.S. degree from Bogazici University, Istanbul, Turkey, in 2010, both in Electrical and Electronics Engineering. He received the Ph.D. degree in Electrical and Computer Engineering from University of California, Irvine, CA, USA, in 2015. He has held internships at Broadcom Corp., Irvine, CA, USA, working on 10-Gigabit Ethernet systems from 2011 to 2012, and on 60 GHz system design and channel characterization in 2015. In 2016, he was a postdoctoral scholar in the Electrical Engineering Department of the University of South Florida, Tampa, FL, where he was affiliated with innovations in Wireless Information Networking Lab (iWINLAB). Since 2017, he works at Intelligent Automation Inc., Rockville, MD. His research interests are on the machine learning and resource allocation in wireless networks, green communications, signal processing for wireless communications, and ultra-wideband communications. For more information about Dr. Davaslioglu click here.