MiM MiM Logo

Detailed information for the next webinar

Next Talk: 2/May/2021, 4-5:30pm CET

Link: https://tuwien.zoom.us/j/95094634063
4pm Central European time is (usually) 7am Pacific time and 11pm Beijing time

MiM Anniversary Super Panel

Discussion with our First Year Speakers

What is a super panel?

We celebrate the first anniversary of MiM webinars in May. To celebrate this occasion, we have invited our renowned speakers of the last year to join in two super panels in May. Each speaker will present their position statement shortly, before we get into a panel discussion with all of these high-profile speakers. You also will have a chance to ask all questions you may have for these super panelists.

Super Panelists

Listed Alphabetically

Jeronimo Castrillon

TU Dresden

Jeronimo Castrillon Jeronimo Castrillon is a professor in the Department of Computer Science at the TU Dresden, where he is also affiliated with the Center for Advancing Electronics Dresden (CfAED). He is the head of the Chair for Compiler Construction, with research focus on methodologies, languages, tools and algorithms for programming complex computing systems. He received the Electronics Engineering degree from the Pontificia Bolivariana University in Colombia in 2004, his masters degree from the ALaRI Institute in Switzerland in 2006 and his Ph.D. degree (Dr.-Ing.) with honors from the RWTH Aachen University in Germany in 2013. In 2014, Prof. Castrillon co-founded Silexica GmbH/Inc, a company that provides programming tools for embedded multicore architectures, now with Xilinx Inc.
For more information, please see his webpages at https://cfaed.tu-dresden.de/ccc-staff-castrillon

Pedram Khalili

Northwestern University

Pedram Khalili Pedram Khalili Amiri is Associate Professor of Electrical and Computer Engineering at Northwestern University, and Director of the Physical Electronics Research Laboratory (PERL). He is also a faculty member of the Applied Physics Graduate Program at Northwestern University. Prior to joining Northwestern, he was an Adjunct Assistant Professor (2013-2017) and Research Associate (2009-2013) in the department of electrical and computer engineering at the University of California, Los Angeles (UCLA). He has led several large multi-university research programs over the past ~12 years, all with significant industry involvement, focusing on development of spin-transfer-torque MRAM, voltage-controlled MRAM, antiferromagnetic MRAM, and unconventional computing architectures based on magnetic devices. Pedram has published more than 110 papers in peer-reviewed academic journals, and is an inventor on 15 issued patents. Pedram received the B.Sc. degree from Sharif University of Technology in 2004, and the Ph.D. degree (cum laude) from Delft University of Technology (TU Delft), The Netherlands, in 2008, both in electrical engineering. He and his team placed top-6 out of 3,000 entries worldwide in the Cisco Innovation Grand Challenge in 2015. He was a finalist for the Intermag best student paper award in 2008. He received the Northwestern University ECE department's Best Teacher Award in 2020. He serves on the Editorial Board of Journal of Physics: Photonics (IOP), and on the Early Career Editorial Board of Multifunctional Materials (IOP). He has served on the technical program committees and organizing committees of numerous conferences, and is a member of the Flash Memory Summit conference advisory board. Pedram is Chair of the Chicago Chapter of the IEEE Magnetics Society, and represents the IEEE Magnetics Society on the IEEE Task Force for Rebooting Computing (TFRC) Executive Committee. He is a Senior Member of the IEEE.
For more information, please see his webpages at https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/khalili-pedram.html

Helen Li

Duke University

Helen Li Hai “Helen” Li is the Clare Boothe Luce Professor and Associate Chair of the Department of Electrical and Computer Engineering at Duke University. She received her B.S and M.S. from Tsinghua University and Ph.D. from Purdue University. Her research interests include neuromorphic computing systems, deep learning acceleration and security, conventional and emerging memory design and architecture, and software and hardware co-design. Dr. Li served/serves as the Associate Editor for multiple IEEE and ACM journals. She was the General Chair or Technical Program Chair of multiple IEEE/ACM conferences and the Technical Program Committee members of over 30 international conference series. Dr. Li is a Distinguished Lecturer of the IEEE CAS society (2018-2019) and a distinguished speaker of ACM (2017-2020). Dr. Li is a recipient of the NSF Career Award, DARPA Young Faculty Award, TUM-IAS Hans Fischer Fellowship from Germany, ELATE Fellowship, night best paper awards and another nine best paper nominations. Dr. Li is a fellow of ACM and IEEE.
For more information, please see his webpages at https://ece.duke.edu/faculty/hai-helen-li

Damien Querlioz

University Paris-Saclay

Damien Querlioz Damien Querlioz is a CNRS Researcher at the Centre de Nanosciences et de Nanotechnologies of Université Paris-Saclay. His research focuses on novel usages of emerging non-volatile memory and other nanodevices, in particular relying on inspirations from biology and machine learning. He received his predoctoral education at Ecole Normale Supérieure, Paris and his PhD from Université Paris-Sud in 2009. Before his appointment at CNRS, he was a Postdoctoral Scholar at Stanford University and at the Commissariat a l'Energie Atomique. Damien Querlioz is the coordinator of the interdisciplinary INTEGNANO research group, with colleagues working on all aspects of nanodevice physics and technology, from materials to systems. He is a member of the bureau of the French Biocomp research network. He has co-authored one book, nine book chapters, more than 100 journal articles, and conference proceedings, and given more than 50 invited talks at national and international workshops and conferences. In 2016, he was the recipient of an ERC Starting Grant to develop the concept of natively intelligent memory. In 2017, he received the CNRS Bronze medal. He has also been a co-recipient of the 2017 IEEE Guillemin-Cauer Best Paper Award and of the 2018 IEEE Biomedical Circuits and Systems Best Paper Award.
For more information, please see his webpages at http://sites.google.com/site/damienquerlioz/ or http://integnano.c2n.universite-paris-saclay.fr/