Viktor KuncakViktor Kunčak joined EPFL in 2007, after receiving a PhD degree from MIT. Since then has been leading the Laboratory for Automated Reasoning and Analysis and supervised at least 12 completed PhD theses. His works on languages, algorithms and systems for verification and automated reasoning. He served as an initiator and one of the coordinators of a European network (COST action) in the area of automated reasoning, verification, and synthesis. In 2012 he received a 5-year single-investigator European Research Council (ERC) grant of 1.5M EUR. His invited talks include those at Lambda Days, Scala Days, NFM, LOPSTR, SYNT, ICALP, CSL, RV, VMCAI, and SMT. A paper on test generation he co-authored received an ACM SIGSOFT distinguished paper award at ICSE. A PLDI paper he co-authored was published in the Communications of the ACM as a Research Highlight article. His Google Scholar profile reports an over-approximate H-index of 38. He was an associate editor of ACM Transactions on Programming Languages and Systems (TOPLAS) and served as a co-chair of conferences on Computer-Aided Verification (CAV), Formal Methods in Computer Aided Design (FMCAD), Workshop on Synthesis (SYNT), and Verification, Model Checking, and Abstract Interpretation (VMCAI). At EPFL he teaches courses on functional and parallel programming, compilers, and verification. He has co-taught the MOOC "Parallel Programming" that was visited by over 100'000 learners and completed by thousands of students from all over the world.
Klaus KernKlaus Kern is Professor of Physics at EPFL and Director and Scientific Member at the Max-Planck-Institute for Solid State Research in Stuttgart, Germany. He also is Honorary Professor at the University of Konstanz, Germany. His present research interests are in nanoscale science, quantum technology and in microscopy at the atomic limits of space and time. He holds a chemistry degree and PhD from the University of Bonn and a honorary doctors degree from the University of Aalborg. After his doctoral studies he was staff scientist at the Research Center Jülich and visiting scientist at Bell Laboratories, Murray Hill before joining the Faculty of EPFL in 1991 and the Max-Planck-Society in 1998. Professor Kern has authored and coauthored close to 700 scientific publications, which have received nearly 60‘000 citations. He has served frequently on advisory committees to universities, professional societies and institutions and has received numerous scientific awards and honors, including the 2008 Gottfried-Wilhelm-Leibniz Prize and the 2016 Van‘t Hoff Prize. Prof. Kern has also educated a large number of leading scientists in nanoscale physics and chemistry. During the past twenty-five years he has supervised one hundred PhD students and sixty postdoctoral fellows. Today, more than fifty of his former students and postdocs hold prominent faculty positions at Universities around the world.
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Ralf SeifertRalf W. Seifert is Professor of Technology & Operations Management (TOM) at the College of Management of Technology (CDM) at Ecole Polytechnique Fédérale de Lausanne (EPFL) since 2003. His primary research and teaching interests relate to operations management, supply chain strategy and technology network management. He is also active in industry analysis, international project work and new venture formation.
Based on his work with companies, Professor Seifert has co-authored more than 30 case studies covering different industries. These efforts have been recognized by multiple international case awards granted by EFMD in 2018, 2012, 2009 and 2003, ECCH in 2011 and 2006, as well as POMS in 2004. He continues to actively research issues of supply chain strategy, supply chain finance and technology management and has more than 70 articles and international conference presentations to his credit. In addition, he co-authored two books: one focused on strategic supply chain management and another one concerning start-up challenges of technology ventures.
In parallel to his appointment at EPFL, he continues to serve a position at IMD, were he has been appointed Professor of Operations Management in 2000. Prior to joining IMD, Professor Seifert studied and worked in Germany, Japan and the US. He earned PhD and MS degrees in Management Science at Stanford University, a Diplom Ingenieur degree in Mechanical Engineering at the Karlsruhe Institute of Technology (KIT) and a Master's degree in Integrated Manufacturing Systems Engineering from North Carolina State University. While in the US, he consulted for Hewlett-Packard and served as Teaching and Research Assistant at Stanford University. In Germany he worked for Booz & Company, McKinsey & Company and Freudenberg & Co. In addition, he spent one year as a Visiting Scholar in Operations Research at Waseda University in Tokyo.
