Bio

Dr. Minhee Jun is currently an Assistant Professor in the department of Electrical Engineering and Computer Science at the Catholic University of America. Dr. Jun completed her Ph.D. in Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2016. Her research topic concerned the development of an efficient algorithm that finds an optimal configuration in time for a reconfigurable RF front-end, a multi-standards future wireless communication platform. In 2017, she joined the CMU CyLab Biometrics Center as a postdoctoral researcher working on experimental projects involving heart rate detection and face spoofing detection, using the Moiré effect caused by the display resolution of a spoofing electrical device. She designed a benchmarking system of a face detection algorithm for an artificial intelligence and security system at HawXeye Inc,. At Bossa Nova Robotics, she has developed algorithms that improve a stitching and blending tool to generate a panorama in a robot, has designed a detection and classification system of sensor issues in a dynamic robot based on a panorama, and has also designed a barcode associator that improves label detection. She has published research papers in leading wireless communication journals and conference publications, including the IEEE EURASIP Journal on Wireless Communications and Networking, and the IEEE Global Communications Conference, and some of the most well-known conferences in the field.

Selected Publications

• Minhee Jun, Rohit Negi, Shihui Yin, Mohamed Alawieh, Fa Wang, Megha Sunny, Tamal Mukherjee, and Xin Li, "Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in largescale RF-FPGA systems," EURASIP Journal on Wireless Communications and Networking 2018, no. 1 (2018): 68.
• Mohamed Alawieh, FaWang, Jun Tao, Shihui Yin, Minhee Jun, Xin Li, Tamal Mukherjee, and Rohit Negi, "Efficient programming of reconfigurable radio frequency (RF) systems." In Proceedings of the 36th International Conference on Computer-Aided Design, pp. 772-779. IEEE Press, 2017.
• Fa Wang, Shihui Yin, Minhee Jun, Xin Li, Tamal Mukherjee, Rohit Negi and Larry Pileggi, “Rethinking Polynomial Optimization: Efficient Programming of Reconfigurable Radio Frequency (RF)
  Systems by Convexification" In 2016 21st Asia and South Pacific Design Automation Conference (ASPDAC), pp. 545-550. IEEE, 2016.
• Minhee Jun, Rohit Negi, Shihui Yin, Fa Wang, Megha Sunny, Tamal Mukherjee, Xin Li, "Phase Noise Impairment and Environment-Adaptable Fast (EAF) Optimization for Programming of Reconfigurable Radio Frequency (RF) Receivers," In 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2015.
• Ying-Chih Wang, Shihui Yin, Minhee Jun, Xin Li, Lawrence Pileggi, Tamal Mukherjee and Rohit Negi, "Accurate passivity-enforced macromodeling for RF circuits via iterative zero/pole update
  based on measurement data," In The 20th Asia and South Pacific Design Automation Conference, pp. 441-446. IEEE, 2015.
• Minhee Jun, Rohit Negi, Ying-Chih Wang, Tamal Mukherjee, Xin Li, Jun Tao, and Larry Pileggi, "Joint invariant estimation of RF impairments for reconfigurable Radio Frequency (RF) front-end," In 2014 IEEE Globecom Workshops (GC Wkshps), pp. 954-959. IEEE, 2014.
• Minhee Jun, RohitNegi, Jun Tao, Ying-ChihWang, Shihui Yin, Tamal Mukherjee, Xin Li, and Larry Pileggi, "Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (rf) receivers," IEEE Military Communications Conference (MILCOM), pp. 1459-1465. IEEE, 2014.
• Jun Tao, Ying-Chih Wang, Minhee Jun, Xin Li, Rohit Negi, Tamal Mukherjee, and Lawrence T. Pileggi, "Toward efficient programming of reconfigurable radio frequency (RF) receivers," In 2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 256-261. IEEE, 2014.