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"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 |
BITS
► professor ► author ► ≈200 publications ► 7 books ► 25 grads ► awards ► cartoonist ► rapper ► evolutionary computation + machine learning + artificial intelligence
► professor ► author ► ≈200 publications ► 7 books ► 25 grads ► awards ► cartoonist ► rapper ► evolutionary computation + machine learning + artificial intelligence
NIBBLES
- The aliens have landed—but they're not smart enough to take over (Newsweek)
- Episode 5: Evolutionary Computation (Biomedical Informatics Roundtable Podcast)
- Gamorithm (IEEE Transactions on Games)
- OMNIREP: Originating meaning by coevolving encodings and representations (Memetic Computing)
- Solution and fitness evolution (SAFE): Coevolving solutions and their objective functions (EuroGP 2019)
- New pathways in coevolutionary computation (GPTP 2019)
- Coevolving Artistic Images Using OMNIREP (EvoMUSART 2020)
- Evolutionary algorithms in biomedical data mining: Challenges, solutions, and frontiers (GECCO 2020 tutorial)
- Genetic programming theory and practice: A fifteen-year trajectory (Genetic Programming and Evolvable Machines)
- Discovering test statistics using genetic programming (GECCO '19)
- Solution and fitness evolution (SAFE): A study of multiobjective problems (2019 IEEE CEC)
- To know the objective is not (necessarily) to know the objective function (BioData Mining)
- Automated discovery of test statistics using genetic programming (Genetic Programming and Evolvable Machines)
- Grammatical evolution strategies for bioinformatics and systems genomics (Handbook of Grammatical Evolution)
- Evolutionary computation: an investigation of parameter space (GECCO '18)
- EBIC: a next-generation, evolutionary-based parallel biclustering method (GECCO '18)
- Investigating the parameter space of evolutionary algorithms (BioData Mining)
- Correction to: Investigating the parameter space of evolutionary algorithms (BioData Mining)
- EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery (Bioinformatics)
- Evolutionary computation: the next major transition of artificial intelligence? (BioData Mining)
- Artificial intelligence: more human with human (BioData Mining)
- A system for accessible artificial intelligence (GPTP 2017)
- Fredric: a collection of flash fiction (Amazon)
- Lucky (short story)
BYTES
Moshe Sipper is a professor of computer science at Ben-Gurion University of the Negev, Israel. He received the B.A. degree from the Technion — Israel Institute of Technology, and the M.Sc. and Ph.D. degrees from Tel Aviv University, all in computer science. During 1995–2001 he was a senior researcher at the EPFL, Switzerland. Since 2016 he has been a visiting professor at the University of Pennsylvania.
His current research focuses on evolutionary computation, machine learning, and artificial intelligence. 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 25 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 close to 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 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 B.A. degree from the Technion — Israel Institute of Technology, and the M.Sc. and Ph.D. degrees from Tel Aviv University, all in computer science. During 1995–2001 he was a senior researcher at the EPFL, Switzerland. Since 2016 he has been a visiting professor at the University of Pennsylvania.
His current research focuses on evolutionary computation, machine learning, and artificial intelligence. 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 25 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 close to 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 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
Computational Genetics Laboratory University of Pennsylvania 3700 Hamilton Walk D206 Richards Building (map) Philadelphia, PA 19104 215-898-1188 (voice) 215-573-3111 (fax) |
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Department of Computer Science Ben-Gurion University Beer-Sheva 8410501, Israel Alon Building for Hi-Tech Bldg. 37, Office 121 (map) 08-64-77880 (voice) 08-64-77650 (fax) |
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