Industry Standard FDSOI Compact Model BSIM-IMG for IC Design

Chenming Hu is TSMC Distinguished Chair Professor Emeritus at the University of California Berkeley, United States. He was the Chief Technology Officer of TSMC. He received the US Presidential Medal of Technology and Innovation from Pres. Barack Obama for developing the first 3D thin-body transistor FinFET, MOSFET reliability models and leading the development of BSIM industry standard transistor model that is used in designing most of the integrated circuits in the world. He is a member of the US Academy of Engineering, the Chinese Academy of Science, and Academia Sinica. He received the highest honor of IEEE, the IEEE Medal of Honor, and its Andrew Grove Award, Solid Circuits Award, and the Nishizawa Medal. He also received the Taiwan Presidential Science Prize and UC Berkeley's highest honor for teaching - the Berkeley Distinguished Teaching Award.

Sourabh Khandelwal is an Associate Professor at Macquarie University. He is the lead author of two industry standard compact models: ASM-HEMT for GaN RF and power technology, and ASM-ESD for silicon ESD applications. He has also co-authored BSIM-CMG, BSIM-IMG and BSIM6 compact models during his tenure at the BSIM group at the University of California Berkeley. Dr Khandelwal has published 3 books and over 150 research papers. He regularly serves as consultant to multi-national semiconductor companies.

Yogesh Singh Chauhan is a Chair Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, India. He is the developer of several industry standard models: ASM-HEMT, BSIM-BULK (formerly BSIM6), BSIM-CMG, BSIM-IMG, BSIM4 and BSIM-SOI models. His research group is involved in developing compact models for GaN transistors, FinFET, nanosheet/gate-all-around FETs, FDSOI transistors, negative capacitance FETs and 2D FETs. His research interests are RF characterization, modeling, and simulation of semiconductor devices.

Director of RF Innovation at Globalfoundries, USA Principal Member of Technical Staff at Globalfoundries USA Juan Pablo Duarte Sepulveda obtained his Ph.D. at the University of California, Berkeley in 2018. He received his B.Sc. in 2010 and his M.Sc. in 2012, both in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST). He held a position as a lecturer at the Universidad Tecnica Federico Santa Maria, Valparaiso, Chile, in 2012. He has authored many papers on nanoscale semiconductor device modeling and characterization. He received the Best Student Paper Award at the 2013 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) for the paper: Unified FinFET Compact Model: Modelling Trapezoidal Triple-Gate FinFETs.

Pragya Kushwaha is currently a Postdoctoral Researcher with Prof. Chenming Hu in the BSIM Device Modeling Group at University of California, Berkeley. She received her PhD degree from Indian Institute of Technology Kanpur, India in 2017. She has authored several national and international research papers in the area of semiconductor device modeling and characterization. During her PhD, she has developed a complete RF compact model for FDSOI transistors under the frame work of industry standard BSIM-IMG compact model. Her current research interests include modeling, simulation, and characterization of advanced semiconductor devices such as nanowires, NCFETs, PD/FDSOIs, FinFETs, tunnel FETs, high-voltage FETs, and bulk MOSFETs. Harshit Agarwal received the PhD degree from Indian Institute of Technology Kanpur, India in 2017. He is currently working as center manager and post-doc fellow at Berkeley Device Modeling Centre, BSIM group, University of California Berkeley, Berkeley, USA. He has been involved in the development of multi-gate and bulk MOSFET models. He is also involved in the modeling and characterization of advanced steep sub-threshold slope devices like negative capacitance FETs, tunnel FET etc. He has authored several papers in the field of semiconductor device modeling, simulation and characterization.