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professor, author, top researcher, ≈200 publications, 7 books, 30 grads, awards, evolutionary algorithms • machine learning • deep learning
"A little perspective. That's it. I'd like some fresh, clear, well-seasoned perspective. Can you suggest a good wine to go with that?"
— Anton Ego, Ratatouille |
SPOTLIGHT
- Multinomial Classification through Symbolic Regression
- Deep, À La Carte
- Symbolic-Regression Boosting
- Conservation Machine Learning: A Case Study of Random Forests
- Conservation Machine Learning
- SAFE algorithm: EuroGP 2019, CEC 2019, GPTP 2019
- OMNIREP algorithm: Memetic Computing, GPTP 2019, EvoMUSART 2020
- Newsweek: The aliens have landed—but they're not smart enough to take over
- Evolutionary Computation Podcast
- Gamorithm
- Genetic programming theory and practice: A fifteen-year trajectory
- To know the objective is not (necessarily) to know the objective function
- Automated discovery of test statistics using genetic programming
- Investigating the parameter space of evolutionary algorithms
- EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery
- Grammatical Evolution Strategies for Bioinformatics and Systems Genomics
- Evolutionary computation: the next major transition of artificial intelligence?
- Artificial intelligence: more human with human
- A system for accessible artificial intelligence
- Fredric: A Collection of Flash Fiction
BIO
Moshe Sipper is a professor of computer science at Ben-Gurion University of the Negev, Israel. He received the BA degree from the Technion — Israel Institute of Technology, and the MSc and PhD degrees from Tel Aviv University, all in computer science. During 1995–2001 he was a senior researcher at the EPFL (Switzerland), and during 2016-2020 he was a visiting professor at the University of Pennsylvania (USA).
His current research focuses on evolutionary computation, machine learning, artificial intelligence, and deep learning. At some point or other he also did research in: artificial life, artificial neural networks, artificial self-replication, bio-inspired computing, cellular automata, cellular computing, embryonic electronics, evolvable hardware, fuzzy logic, games, robotics, and software engineering.
Dr. Sipper has authored close to 200 scientific publications, including three books: Evolved to Win, Machine Nature: The Coming Age of Bio-Inspired Computing, and Evolution of Parallel Cellular Machines: The Cellular Programming Approach. He has supervised close to 30 graduate students, and taught numerous basic and advanced courses in computer science, both undergraduate and graduate.
He is an associate editor of the journal Genetic Programming and Evolvable Machines, and was an associate editor of the journals: IEEE Transactions on Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games, and Memetic Computing. He organized and chaired several conferences and has served on the program committees of over 130. He has also served as a reviewer for nearly 40 journals and funding agencies.
Dr. Sipper won the 2015 IEEE CIS Outstanding TCIAIG Paper Award, the 2008 BGU Toronto Prize for Academic Excellence in Research, the 1999 EPFL Latsis Prize, and 6 HUMIE Awards (Human-Competitive Results Produced by Genetic and Evolutionary Computation). He has been cited as a top researcher and as one of 5 Scientists At The Forefront Of Computing And AI.
He is the author of four fiction books: Fredric: A Collection of Flash Fiction, Daniel Max and the King in the Tower, Xor: The Shape of Darkness, and The Peaceful Affair. He is also a cartoonist and has been known to rap.
Moshe Sipper is a professor of computer science at Ben-Gurion University of the Negev, Israel. He received the BA degree from the Technion — Israel Institute of Technology, and the MSc and PhD degrees from Tel Aviv University, all in computer science. During 1995–2001 he was a senior researcher at the EPFL (Switzerland), and during 2016-2020 he was a visiting professor at the University of Pennsylvania (USA).
His current research focuses on evolutionary computation, machine learning, artificial intelligence, and deep learning. At some point or other he also did research in: artificial life, artificial neural networks, artificial self-replication, bio-inspired computing, cellular automata, cellular computing, embryonic electronics, evolvable hardware, fuzzy logic, games, robotics, and software engineering.
Dr. Sipper has authored close to 200 scientific publications, including three books: Evolved to Win, Machine Nature: The Coming Age of Bio-Inspired Computing, and Evolution of Parallel Cellular Machines: The Cellular Programming Approach. He has supervised close to 30 graduate students, and taught numerous basic and advanced courses in computer science, both undergraduate and graduate.
He is an associate editor of the journal Genetic Programming and Evolvable Machines, and was an associate editor of the journals: IEEE Transactions on Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games, and Memetic Computing. He organized and chaired several conferences and has served on the program committees of over 130. He has also served as a reviewer for nearly 40 journals and funding agencies.
Dr. Sipper won the 2015 IEEE CIS Outstanding TCIAIG Paper Award, the 2008 BGU Toronto Prize for Academic Excellence in Research, the 1999 EPFL Latsis Prize, and 6 HUMIE Awards (Human-Competitive Results Produced by Genetic and Evolutionary Computation). He has been cited as a top researcher and as one of 5 Scientists At The Forefront Of Computing And AI.
He is the author of four fiction books: Fredric: A Collection of Flash Fiction, Daniel Max and the King in the Tower, Xor: The Shape of Darkness, and The Peaceful Affair. He is also a cartoonist and has been known to rap.
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CONTACT
Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel Alon Building for Hi-Tech (37), Room 121, 08-64-77880 sipper@gmail.com, www.moshesipper.com
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