I am an Associate Professor and Associate Chair for Graduate Studies and Research in the Department of Computer and Information Sciences with a joint appointment in the Department of Physics and Astronomy at the University of Delaware. I received my Ph.D. from the Weizmann Institute of Science (Israel) under supervision of Achi Brandt and Dorit Ron. In Fall 2012, I joined the School of Computing at Clemson University. I was also a Faculty Scholar of the Clemson University School of Health Research. Before that I was at the Division of Mathematics and Computer Science at Argonne National Laboratory. My undegraduate school is Ben-Gurion University of the Negev (Israel).
For applicants: I am always actively looking for highly motivated students to work with (both undergraduate and graduate). You are always welcome to stop by my office to chat. Click here to check if I have an immediate M.Sc./Ph.D./Undergraduate/Internship opening. All applications must be submitted at Academentory.com where my positions are listed with relevant questions. Please, do not apply via email! Undergraduate students click here.
Apply to our new M.Sc. and Ph.D. programs in Quantum Science and Engineering. The programs have a special track in quantum computing and algorithms
https://qse.udel.edu/
Research Interests
- Quantum computing
- Graph Algorithms, Network Science
- Machine Learning, AI
- Hypothesis Generation, Text Mining, NLP
- Combinatorial Scientific Computing
- Multiscale and Multilevel Algorithms
Funding
Total over $6.5M- NIH
- DARPA
- NSF
- BMW
- Greenville Hospital System
- Department of Education
My Erdös number is 3 (Safro-Brandt-Gillis-Erdös, Safro-Sanders-Wormald-Erdös), and this is my Ph.D. genealogy tree (courtesy Mathematics Genealogy Project)
Recent Professional Activities
- Editorial Board:
• SIAM Journal on Scientific Computing
• Springer Nature Computer Science, associate editor in the section "Quantum Computing and Emerging Technologies"
• Algorithms
• PLOS ONE (Machine Learning, Data Mining and Network Science Areas)
• Journal of Data Intelligence
- (co)Organizer:
• Leibniz Center for Informatics, Dagstuhl Seminar "Scalable Graph Mining and Learning", 2023 (1 week)
• IEEE/ACM International Worshop on Quantum Computing 2022
• Quantum Computing mini-cluster at INFORMS 2021 (several sessions on quantum optimization and machine learning and tutorial on quantum combinatorial optimization)
• Tutorial "Tutorial on Combinatorial Optimization on Quantum Computers" at IEEE International Conference on Quantum Computing and Engineering (QCE20)
• Mini-symposium "Recent Advances and Trends in Hybrid Quantum-Classical Algorithms" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
• Tutorial "Combinatorial Optimization on Quantum Computers" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
• Leibniz Center for Informatics, Dagstuhl Seminar "High-performance Graph Algorithms", 2018 (1 week)
• Session on "Scalable Algorithms for Networks" at International Symposium on Mathematical Programming 2015
• Leibniz Center for Informatics, Dagstuhl Seminar "High-performance Graph Algorithms and Applications in Computational Science", 2014 (1 week)
• ICiS Workshop "Graph and Hypergraph Problems in Computational Science", 2012 (1 week) - Program Committee Member
• IEEE/ACM International Worshop on Quantum Computing 2022 • IEEE Quantum Computing and Engineering 2021, 2022, 2023 • ACM KDD 2021, 2022, 2023 • SIAM International Conference on Data Mining 2022 • CIKM 2021, 2022, 2023 • Online Conference on Algorithms (ALG2021) • IEEE Quantum Computing and Engineering Week 2021, Quantum Algorithms and Applications track • International Workshop on Quantum Computing: Circuits Systems Automation and Applications 2020, 2021, 2022 (QC-CSAA, co-located with IEEE Computer Society Annual Symposium on VLSI) • International Workshop on Literature-Based Discovery (LBD 2020) • INFORMS Optimization Society 2020 (IOS2020) • International Workshop on Quantum Computing for Sustainable Computing 2019 • International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018, 2019, 2021, 2022) • IEEE Cloud Summit 2019 • SIAM Workshop in Combinatorial Scientific Computing 2016 (SIAM CSC16) • Learning and Intelligent Optimization 2011, 2012, 2013 (LION11-13) • IEEE 2nd International Workshop on Network Science 2013 (NSW13) - Advisory Board Member
• The Swiss Innovation Lab
• Quantum Startup Foundry at Maryland
• The International Artificial intelligence and Quantum Technology Foundation - Grant Panels: NIH, NSF, NASA, internal panels in schools and national labs
- Consulting: McKinsey and Company, Coleman Research Group
Our Research Group in News
- UDaily/For the record: Best student paper award at IEEE HPEC 2022 for the optimal tensor network contraction paper
- Concentrating on Connections, our work on automated scientific hypothesis generation is featured in UDaily
- Artificial intelligence could aid in fight against COVID-19
- Combing the best of quantum computing and classical computing
- The best of both worlds: how to solve real problems on modern quantum computers
- Future of Medicine - Man or Machine?
Big Data: Future of Medicine - Man or Machine? from Clemson University on Vimeo.
- Summer internship of Ruslan Shaydulin
- Our promo video featured at ACM KDD 2017