

I am a professor of ECE, a professor of CS, and the founding director of the Center for Wireless Information Network Studies (CWINS). Established in 1985, CWINS was the first academic research program with focus on wireless local area networks, commercially known as Wi-Fi [1]. Later on, we continued research in opportunistic cyberspace applications benefiting from RF Cloud, the signal propagated from billions of wireless devices scattered around the world. These applications include Wi-Fi and Ultra-Wideband (UWB) positioning and localization in and around the human body [2], human gesture and motion detection [3,4], and intelligent spectrum management [5-7]. My passion is in innovation and entrepreneurship and my students and I have been involved in a number of leading-edge start-up companies. I like to work closely with my students and colleagues on research projects and I enjoy turning results of my research into textbooks to teach graduate and undergraduate students. My lifetime hobbies have been reading philosophy, ancient history, psychology, and poetry; playing volleyball and tennis; listening to music; and dancing. My favorite quote related to professorship is from Richard A Gallagher, WPI Provost 1984-1988: “Professorship is a pant with two legs: research and education”.
[1] Pahlavan, K. and Krishnamurthy, P., 2021. Evolution and impact of Wi-Fi technology and applications: A historical perspective. Springer Nature: International Journal of Wireless Information Networks, 28, pp.3-19.
[2] Pahlavan, K., 2019. Indoor Geolocation Science and Technology: At the Emergence of Smart World and IoT. River Publishers, the Netherlands.
[3] Pahlavan, K., Ying, J., Li, Z., Solovey, E., Loftus, J.P. and Dong, Z., 2020. RF cloud for cyberspace intelligence. IEEE Access, 8, pp.89976-89987.
[4] Su, Z., Pahlavan, K. and Agu, E., 2021. Performance evaluation of COVID-19 proximity detection using Bluetooth LE signal. IEEE access, 9, pp.38891-38906.
[5] Pahlavan, K., 2022. Understanding of RF Cloud Interference Measurement and Modeling. Springer Nature: International Journal of Wireless Information Networks, 29(3), pp.206-221.
[6] Su, Z, Pahlavan, K. and Islam, B. “An Empirical Study of Interference Features in Licensed and Unlicensed Bands for Intelligent Spectrum Management.” IEEE WoWMoM, Boston ,MA, June 12-15, 2023.
[7] Cheng, S., Pahlavan, K., Wei, H., Su, Z., Zekavat, S.R. and Abedi, A., 2022. A Study of Interference Analysis Between mmWave Radars and IEEE 802.11 AD at 60 GHz Bands. Springer Nature: International Journal of Wireless Information Networks, 29(3), pp.222-231.