Meinolf Sellmann
Meinolf Sellmann, born in Holzminden, Germany, computer scientist, best known for algorithmic research, with a special focus on self-improving algorithms, automatic algorithm configuration and algorithm portfolios based on artificial intelligence, combinatorial optimization, and the hybridization thereof.
He received a doctorate degree in 2002 from Paderborn University and is now Technical Operations Leader for machine learning and knowledge discovery at the global research center of General Electric. Prior to the current engagement he held a position as senior manager for data curation in the cognitive computing department at IBM Research, Assistant Professor at Brown University, and Postdoctoral Scholar at Cornell University.
His honors include the Prize of the Faculty of the University of Paderborn for his doctoral thesis, an NSF Career Award in 2007, two Gold Medals at the SAT Competition 2011, a winning Solver at the 2012 SAT Challenge, two Gold Medals at the SAT Competition 2013, and seventeen winning solvers at the 2013-2016 MaxSAT Evaluations.
He also received IBM Outstanding Technical Innovation Awards in 2013 and 2014, and an A-level Business Accomplishment 2015. He was invited Keynote Speaker at Anziam 2017, Techkriti 2017, Optimization Days 2017, OR 2017, AAAI 2015 and served on the IEEE technical board for emerging technologies, the AAAI education board, as Program Chair of IAAI 2020, Cluster Chair on the Future of Computing at Informs 2017, Conference Chair of CP 2007, conference-wide Workshop Chair of AAAI 2008, and as Program Chair of CPAIOR 2013 and LION 2016.
