• PROGRAM

  • Update planned in June
    Eric Guichard
    Eric Guichard, Ph.D., has over 30 years of experience in the semiconductor industry. Dr. Guichard serves as Senior Vice President and General Manager of Silvaco’s TCAD division since November 2012 and served as Vice President of Applications from July 2008 to November 2012. From September 1995 to July 2008, Dr. Guichard served in various roles with Silvaco SA, formerly known as Silvaco Data Systems, one of the wholly owned subsidiaries of Silvaco Inc., including as a General Manager and Applications Engineer. Eric Guichard received a M.S. in materials science and a Ph.D. in semiconductor physics from Institute National Polytechnique de Grenoble, France.

    Zlatan Stanojevic
    Zlatan Stanojević is the Chief Technology Officer (CTO) of Global TCAD Solutions (GTS), an independent European TCAD software vendor, where he supervises the
    company’s R&D activities. His research interests include process and device TCAD, semi-classical and quantum modeling of carrier transport effects in low-dimensional structures, Design-Technology Co-Optimization, as well as simulator design and numerical algorithms. He is the lead designer of the commercially successful GTS Nano Device Simulator (NDS), a Subband-Boltzmann-Transport-based device simulator. He has also co-supervised the development of the parasitics extraction engine PEX, part of GTS Cell Designer, and the GTS ProSim process simulation software.
    Zlatan studied Microelectronics at the Vienna University of Technology where he received his MSc and PhD degrees in 2009 and 2016, respectively. He was member of the IEDM Modeling and Simulation subcommittee in 2021 and 2022 and its chair in 2023, and has been part of the ESSERC Track 3 TPC since 2019, which he is chairing in 2025.
     
    Srinivas Raghvendra
    Srinivas Raghvendra is Vice President of Engineering and leads the TCAD, Mask Solutions and Smart Manufacturing group at Synopsys. His group works on software solutions that help optimize the technology development and manufacturing process. Previously he has held senior R&D positions in the design implementation groups at Synopsys. His worked has spanned logic synthesis, physical design, low power synthesis, OPC/Lithography, TCAD, and Smart Manufacturing technologies. Srini has been involved with the IC design and EDA industry for over 30 years. He is the co-author of 2 patents in logic synthesis. He has delivered several invited talks at conferences, and participated in many industry panels.
    Srini is a graduate of the Stanford Executive Program of the Graduate School of Business at Stanford University and has a BSEE, and a MS in Computer Science.
     
     
    Helene WEHBE-ALAUSE
    Helene Wehbe-Alause has a PhD in Physics of semiconductors, on III-V quantum wells heterostructures for optical filtering, in collaboration with Schlumberger. After a few years in Thales avionics developing MEMS accelerometric and gyrometric sensors for space and aeronautics, she joined ST Microelectronics in 2000. Since 2011, she has been managing ST Process integration team for CIS : developing the BSI, 3D stacking brick, 90nm and 40nm SPAD technologies, and bringing in production CDTI based rolling and global shutters. In 2017 she also integrated the TCAD simulation team in her service in order that Simulation activities sustain the developments of new pixels from their conception until their full qualification. Since 2021, she has been appointed Director of the Technology for Optical Sensors Department which mission is supporting STM Imaging Division roadmap with developing differentiated technologies adapted to customer needs : provide innovating pixel architectures, from design to full validation of pixel performance, put in place and insure the quality and readiness for industrialisaton of the process flow for the technology.
     
    Mathieu Luisier
    Since 2022, Mathieu Luisier has been Full Professor of Computational Nanoelectronics at ETH Zurich, Switzerland. He graduated in electrical engineering in 2003 and received his PhD in 2007, both from ETH Zurich. During that time, he started the development of a state-of-the-art quantum transport simulator called OMEN. After a one-year post-doc at ETH, he joined in 2008 the Network for Computational Nanotechnology at Purdue University, USA, as a research assistant professor. In 2011 he returned to ETH Zurich to become Assistant and then Associate Professor. His current research interests focus on the modeling of nanoscale devices, such as advanced transistors based on classical semiconductors and 2-D materials, photo-detectors/emitters, and non-volatile resistive memory cells.
     
    Lado Filipovic
    Dr. Lado Filipovic is an Associate Professor and Director of the Christian Doppler Laboratory for Multi-Scale Process Modeling at TU Wien's Institute for Microelectronics. He earned his PhD in Microelectronics from TU Wien and specializes in semiconductor sensor technology and process simulations. His research focuses on integrated sensors, multi-scale process modeling, and novel semiconductor materials. He leads various projects on process simulations, equipment-informed inverse design, and novel material studies, working to advance semiconductor fabrication and device performance. His team has developed open-source TCAD tools like ViennaPS and ViennaEMC, widely used for process and device modeling. A Senior Member of IEEE, he collaborates with leading industry partners and academic institutions worldwide.
     
    Andreas Rosskopf
    Andreas Rosskopf studied Applied Mathematics with a focus on Numerical Simulation in Erlangen, Germany. Since 2012 he's with Fraunhofer IISB in Erlangen; in 2018 he founded the working group "AI-augmented Simulation “ combing AI and numerical approaches for the simulation and optimization of power electronic devices and systems. Since 2023 he's head of the "Modeling and Artificial Intelligence" department of the Fraunhofer IISB designing digital solutions in the field of power electronics, Technology Computer-Aided Design and lithography.
    Vihar Georgiev
    Vihar is a Professor of Nanoelectronics and the Leader of the DeepNano Group at the University of Glasgow. He has more than 15 years of experience in developing numerical solvers and machine learning methods that are used for modelling and simulations of various semiconductor devices, such as nanowire transistors, tunnelling FETs, biosensors, current transport in inorganic molecules, Josephson’s junctions, physical unclonable functions and molecular flash memories.
    Vihar has participated in 12 European and UK projects in total. From 2018 until 2022 he held an EPSRC Industrial Fellowship called Quantum Simulator for Entangled Electronics. Since his appointment as a Lecturer in 2015, he has secured funding of around £1.5M as a PI and around £5.0M as a co-PI.
    For more information, please see his University of Glasgow.
     
    Workshop 1
    Emerging AI and Neural Network
    8:30 AM 8:45 AM Welcome
    8:45 AM 9:30 AM Benoit Sklénard, CEA-Leti Grenoble, France
    9:30 AM 10:15 AM Stéphane Lanteri, INRIA Sophia Antipolis, France
    10:15 AM 10:30 AM Break
    10:30 AM 11:15 AM Alex Gabourie, DEEPSIM, Stanford, USA
    11:15 AM 12:00 PM Manuel Le Gallo, IBM Zürich, Switzerland
    Lunch 12:00 PM 1:30 PM Lunch
    Workshop 2
    Advanced topics in microelectronic simulation
    1:30 PM 2:15 PM Samuel Poncé, IMCN, Université Catholique de Louvain, Belgium
    2:15 PM 3:00 PM Mincheol Shin, School of Electrical Engineering, KAIST Daejeon, Korea
    3:00 PM 3:15 PM Break
    3:15 PM 4:00 PM Viktor Sverdlov, IMN, TÜ Wien, Austria
    4:00 PM 4:45 PM Yann-Michel Niquet, CEA-IRIG Grenoble, France
    4:45 PM 5:00 PM Conclusion
    Advancing Material Simulations with Neural Network-Based Interatomic Potentials
    Benoit Sklénard, CEA-Leti Grenoble, France
    Benoit Sklénard is a permanent researcher and leads the Advanced Simulation Group in the "Simulation and Modelling Laboratory" at CEA-Leti. He earned a Dipl.-Ing. degree in Electrical Engineering and a Master’s degree in Microelectronics from the National Institute of Applied Sciences (INSA) in Lyon in 2010. In 2014, he completed his PhD at the Grenoble Institute of Technology. His research interests include atomistic and mesoscale modeling and simulation of materials for nanoelectronics applications. Currently, his work focuses on combining atomistic simulation with artificial intelligence techniques to enhance the understanding and development of materials for advanced technologies.
    Physics-based AI modeling for time-domain and frequency-domain electromagnetics
    Stéphane Lanteri, INRIA Sophia Antipolis, France
    Stéphane Lanteri is a senior research scientist at the Inria Research Center of University Côte d’Azur. He holds a PhD in Engineering Sciences from University of Nice-Sophia Antipolis (Year of defense: 1991) and a HDR (habilitation to advise doctoral theses) from the University of Nice/Sophia Antipolis (Year of defense: 2003 - Title: High-performance numerical methods on unstructured meshes with applications to compressible fluid dynamics). From May 1992 to October 1993, he was a postdoctoral fellow at the Center for Aerospace Structure, University of Colorado at Boulder, under the supervision of Charbel Farhat. His current research interests are concerned with numerical modeling of physical problems related to computational electromagnetics and computational nanophotonics: high order discontinuous Galerkin type approximation methods, reduced-order modeling methods, physics-based neural networks methods and parallel numerical algorithms for solving differential systems modeling electromagnetic wave interaction with complex media with a focus of nanoscale light-matter interaction. Since February 2020, he is the scientific head of the Atlantis project-team at the Inria Research Center of Université Côte d’Azur. He is also the scientific coordinator of the development of the DIOGENeS software suite, which is dedicated to computational nanophotonics. Stéphane Lanteri has authored or co-authored more that 80 publications in international journals in applied mathematics, scientific computing, computational physics and more recently, optics and photonics.Web: https://slanteri.github.io/.
    AI-Driven Advances in Thermal Modeling for Integrated Circuits
    Alex Gabourie, DEEPSIM, Stanford, USA
    Alexander (Alex) Gabourie is a cofounder and the CTO of DeepSim, Inc., a Y Combinator-backed startup developing AI-accelerated physics simulation technology. At DeepSim, Alex focuses on multi-scale thermal-mechanical modeling to optimize the design and reliability of integrated circuits and packaging. He earned his Ph.D. and M.S. in EE at Stanford University, where he specialized in the thermal properties of semiconducting 2D materials. His research has been highlighted in Nature Electronics, selected as an Editor’s Pick in the Journal of Applied Sciences, and recognized with an IOP Publishing Top Cited Paper Award North America in the Nanosciences category.
    Simulating the Training and Inference of Analog In-Memory Computing Systems
    Manuel Le Gallo, IBM Zürich, Switzerland

     
    Manuel Le Gallo joined IBM Research Europe in 2013, where he is currently employed as a Staff Research Scientist in the In-Memory Computing group of the Zurich laboratory. His main research interest is in using phase-change memory devices for non-von Neumann computing. He has co-authored more than 100 scientific papers in journal and conferences, holds 35 granted patents and has given 15 invited talks. He was appointed IBM Master Inventor in 2019 and 2024 for significant contributions to intellectual property and is a recipient of the MIT Technology Review's 2020 Innovators Under 35 award.
    First-principles calculations of charge carrier transport
    Samuel Poncé, IMCN, Université Catholique de Louvain, Belgium

     
    Samuel Poncé is an F.R.S.-FNRS Research Associate and Professor at the Université catholique de Louvain in Belgium. He is leading the Electron-Phonon group (www.samuelponce.com). He completed his PhD in Solid State Physics at the Université catholique de Louvain in 2015 under the supervision of Prof. Gonze. He earned a Bachelor’s and Master’s  degrees in Civil Engineering at the Université catholique de Louvain in 2008 and 2010, respectively. Samuel was a Postdoctoral Research Assistant in the group of Prof. Giustino in the Department of Materials at the University of Oxford and a Junior Research Fellow of the Wolfson College from 2015 to 2019. From 2019 to 2021, he was a Marie Skłodowska-Curie Fellow in the Institute of Materials from the École Polytechnique Fédérale de Lausanne in the group of Prof. Marzari.
    Advancing Atomistic Simulations of Realistically Sized Devices: AtomSuperMS, Full-Charge Treatment, and Disorder Modeling
    Mincheol Shin, School of Electrical Engineering, KAIST Daejeon, Korea

     
    Mincheol Shin received the Ph.D. degree in physics from Northwestern University, USA, in 1992. He was with Electronics and Telecommunications Research Institute, Korea, as a Senior Researcher from 1993 to 2002. In 2002, he joined the faculty of School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea, where he is currently a full professor. His research interest has focused on developing in-house simulation tools for nanoelectronic devices, specializing in advanced electronic transport calculations utilizing quantum mechanical methodologies.
    Modeling Advanced Magnetoresistive Memories
    Viktor Sverdlov, IMN, TÜ Wien, Austria

     
    Viktor Sverdlov obtained his Master of Science and PhD degrees in physics from the State University of St. Petersburg, Russia, in 1985 and 1989, respectively. From 1989 to 1999, he worked as a senior research scientist at the V.A. Fock Institute of Physics at the same university. Throughout his career, he has visited several notable institutions, including the ICTP in Italy (1993), the University of Geneva in Switzerland (1993-1994), the University of Oulu in Finland (1995), the Helsinki University of Technology in Finland (1996, 1998), the Free University of Berlin in Germany (1997), and NORDITA in Denmark (1998).
    In 1999, he became a staff research scientist at the State University of New York at Stony Brook. In 2004, he joined the Institute for Microelectronics at Technische Universität Wien, where he is currently an associate professor and the director of the Christian Doppler Laboratory for Nonvolatile Magnetoresistive Memory and Logic. His scientific interests include device simulations, computational physics, solid-state physics, and nanoelectronics.
     
    Advanced topics in microelectronic simulation
     
    The exciting life of a hole spin in a semiconductor: Insights from the modeling of spin qubits
    Yann-Michel Niquet, CEA-IRIG Grenoble, France

     
    Yann-Michel Niquet received his PhD degree from the University of Lille (France) in 2001. Since 2003, he is a permanent researcher with the CEA, at the Institute for Interdisciplinary Research of Grenoble (IRIG). He is leading research on the modeling of the electronic, optical, and transport properties of semiconductor nanostructures. In particular, he his working on the theory of semiconductor spin qubits since 2018.