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[https:// | [https://users.cs.duke.edu/~pankaj/ Pankaj Agarwal]<br><br>'''Research Interests''': Computational & discrete geometry, Shape analysis, GIS and ecologic modeling, Spatial databases, Sensor networks, Trajectory data analysis | ||
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[https:// | [https://sites.duke.edu/btfain/ Brandon Fain]<br><br>'''Research Interests''': Fair resource allocation, Algorithmic game theory, Computational social choice. | ||
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[https:// | [https://users.cs.duke.edu/~rongge/ Rong Ge]<br><br>'''Research Interests''': Algorithms, machine learning, matrix/tensor decompositions, optimization. | ||
| style="width: 130px;" |[[File:kamesh.jpg | 120px]] | | style="width: 130px;" |[[File:kamesh.jpg | 120px]] | ||
| style="width: 500px;" |[https://www. | | style="width: 500px;" |[https://www.kameshmunagala.org/ Kamesh Munagala] <br><br>'''Research Interests''': Approximation and Online algorithms, Stochastic optimization, Decision theory, Scheduling theory, Computational Economics and Algorithmic mechanism design. | ||
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| style="width: 130px;" |[[File:debmalya.jpg | 120px]] | | style="width: 130px;" |[[File:debmalya.jpg | 120px]] | ||
| style="width: 500px;" |[https://www. | | style="width: 500px;" |[https://www.debmalyapanigrahi.org/ Debmalya Panigrahi] <br><br>'''Research Interests''': Graph algorithms, Online and approximation algorithms, Combinatorial optimization, Applied algorithms | ||
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[https:// | [https://users.cs.duke.edu/~reif/ John H. Reif] <br><br>'''Research Interests''': Biomolecular Computing and Self Assembly of DNA Nanostructures, Algorithms, Quantum computing, Optical computing | ||
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| style="width: 500px;" |[https:// | | style="width: 500px;" |[https://users.cs.duke.edu/~br148/ Benjamin Rossman] <br><br>'''Research Interests''': Complexity Theory, Circuit Complexity, Finite Model Theory, Combinatorics | ||
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|[https://users.cs.duke.edu/~asteiger/ Alex Steiger]<br><br>'''Research Interests''': Computational Geometry, Graph Algorithms | |[https://users.cs.duke.edu/~asteiger/ Alex Steiger]<br><br>'''Research Interests''': Computational Geometry, Graph Algorithms | ||
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[https:// | [https://users.cs.duke.edu/~brd/ Bruce Donald] <br><br>'''Primary Area''': Artificial Intelligence <br>'''Research Interests''': Computational biology, chemistry and biophysics, Protein modeling, Optimization, Game theory for pathogen resistance, Statistical mechanics, and Geometric computing | ||
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[https:// | [https://users.cs.duke.edu/~ashwin/ Ashwin Machanavajjhala] <br><br>'''Primary Area''': Systems <br>'''Research Interests''': Data privacy, Systems for massive data analytics, Statistical methods for information extraction and entity resolution | ||
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| style="width: 130px;" |[[File:bmm.jpg | 120px]] | | style="width: 130px;" |[[File:bmm.jpg | 120px]] | ||
| style="width: 500px;" |[https:// | | style="width: 500px;" |[https://users.cs.duke.edu/~bmm/ Bruce Maggs] <br><br>'''Primary Area''': Systems <br>'''Research Interests''': Distributed systems, including content delivery networks, computer networks, and computer and network security. | ||
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[https:// | [https://sayanmuk.github.io/ Sayan Mukherjee] <br><br>'''Primary Area''': Statistical Science <br>'''Reseach Interests''': Randomized algorithms in machine learning, Spectral theory for simplicial complexes, Computational topology | ||
|[[File:Schmidler.jpg | 120px]] | |[[File:Schmidler.jpg | 120px]] | ||
|[ | |[http://www2.stat.duke.edu/~scs/ Scott Schmidler] <br><br>'''Primary Area''': Statistical Science <br>'''Research Interests''': Monte Carlo algorithms, Markov chain mixing times, Stochastic modeling, Bioinformatics, Machine learning, and Statistical computing | ||
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| style="width: 130px;" |[[File:Fanwei.jpg | 120px]] | | style="width: 130px;" |[[File:Fanwei.jpg | 120px]] | ||
|[https:// | |[https://sites.google.com/view/fan-wei/home Fan Wei] <br><br>'''Primary Area''': Mathematics<br>'''Research Interests''': Extremal combinatorics, probabilistic combinatorics, applications of combinatorics to computer science. | ||
|[[File:calderbank.jpg | 120px]] | |[[File:calderbank.jpg | 120px]] | ||
|[https://www.cs.duke.edu/people/faculty/99 Robert Calderbank] <br><br>'''Primary Area''': Coding Theory<br>'''Research Interests''': Error correcting codes, Combinatorics, Electrical Engineering | |[https://www.cs.duke.edu/people/faculty/99 Robert Calderbank] <br><br>'''Primary Area''': Coding Theory<br>'''Research Interests''': Error correcting codes, Combinatorics, Electrical Engineering |
Revision as of 23:24, 21 October 2023
The theory group is engaged in cutting-edge research in a broad span of areas, including geometric computing, approximation and online algorithms, graph algorithms, game theory and mechanism design, stochastic optimization and decision theory, and combinatorial optimization. The group is also engaged in collaborative efforts with researchers in a broad array of application areas and makes leading contributions to nanotechnology systems, computational molecular biology, database management and data analysis, computational economics, internet systems and services, high-performance computing, geographic information systems (GIS), and ecological modeling.
Faculty
Pankaj Agarwal |
Brandon Fain
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Rong Ge |
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Kamesh Munagala Research Interests: Approximation and Online algorithms, Stochastic optimization, Decision theory, Scheduling theory, Computational Economics and Algorithmic mechanism design.
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Debmalya Panigrahi Research Interests: Graph algorithms, Online and approximation algorithms, Combinatorial optimization, Applied algorithms |
John H. Reif |
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Benjamin Rossman Research Interests: Complexity Theory, Circuit Complexity, Finite Model Theory, Combinatorics |
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Alex Steiger Research Interests: Computational Geometry, Graph Algorithms |
Affiliated Faculty
Bruce Donald |
John Harer |
Ashwin Machanavajjhala | |||
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Bruce Maggs Primary Area: Systems Research Interests: Distributed systems, including content delivery networks, computer networks, and computer and network security. |
Sayan Mukherjee |
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Scott Schmidler Primary Area: Statistical Science Research Interests: Monte Carlo algorithms, Markov chain mixing times, Stochastic modeling, Bioinformatics, Machine learning, and Statistical computing | |
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Fan Wei Primary Area: Mathematics Research Interests: Extremal combinatorics, probabilistic combinatorics, applications of combinatorics to computer science. |
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Robert Calderbank Primary Area: Coding Theory Research Interests: Error correcting codes, Combinatorics, Electrical Engineering
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Graduate Students
PhDs
- Ruoxu Cen
- Muthu Chidambaram
- Anish Hebbar
- Ben Holmgren
- Ruoming Huang
- Rajiv Nagipogu
- Rahul Raychaudhury
- Govind S. Sankar
- Yiheng Shen
- Lu Wang
- Keegan Yao
- Mo Zhou
Recent Alumni
Postdocs
- Xiao Hu, 2022 (Assistant Professor at University of Waterloo)
- Anilesh Krishnaswamy, 2021 (Google)
- Hsien-Chih Chang, 2020 (Assistant Professor at Dartmouth College)
- Yu Cheng, 2019 (Assistant Professor at UIC).
- Kyle Fox, 2017 (Associate Professor at UT Dallas)
- Sungjin Im, 2013 (Associate Professor at UC Merced)
- Thomas Moelhave, 2013 (Scalable Algorithmics)
- Swaminathan Sankaraman, 2013 (Akamai Technologies)
PhDs
- Chenwei Wu, 2023
- Erin Taylor, 2023 (Geometric Data Analytics)
- Alexander Steiger, 2023 (Assitant Research Professor at Duke University)
- Keerti Anand, 2022 (Goldman Sachs)
- Abraham Frandsen, 2022 (Enveda Biosciences)
- Kevin Sun, 2022 (Elon University -> Teaching Assistant Professor at UNC-Chapel Hill)
- Kangning Wang, 2022 (Postdoc at Stanford)
- Xiang Wang, 2022 (Research Scientist at Meta)
- Aaron Lowe, 2021 (Esri)
- Reza Alijani, 2020 (Google)
- Yuan Deng, 2020 (Google Research)
- Stavros Sintos, 2020 (Postdoc at UChicago -> Assistant Professor at UIC)
- Allen Xiao, 2020 (Robinhood)
- Brandon Fain, 2019 (Assistant Research Professor at Duke University)
- Samuel Haney, 2019 (Tumult Labs)
- Nathaniel Kell, 2018 (Assistant Professor at Denison University)
- Seyed Zahedi, 2018 (Assistant Professor at University of Waterloo)
- Abhinandan Nath, 2018 (Mentor Graphics)
- Tianqi Song, 2018 (Postdoc at Caltech)
- Hieu Bui, 2017 (U.S. Naval Research Laboratory)
- Sudhanshu Garg, 2016 (LinkedIn)
- Jiangwei Pan, 2016 (Facebook)
- Janardhan Kulkarni, 2015 (Postdoc at Microsoft Research, Redmond)
- Salman Parsa, 2015 (Postdoc at ENS Paris)
- You Wu, 2015 (Google)
- Xiaoming Xu, 2015 (Lifecode -> Google)
- Wuzhou Zhang, 2015 (Apple)
- Albert Yu, 2013 (Amazon)
- Sharath Raghvendra, 2012 (Postdoc at Stanford -> Assistant Professor at Virginia Tech)
- Sayan Bhattacharya, 2012 (Postdoc at MPI Saarbrucken -> Assistant Professor at IMSc, Chennai)
- Harish Chandran, 2012 (Google)
- Nikhil Gopalkrishnan, 2012 (Postdoc at Harvard)
- Shashidhara K. Ganjugunte, 2011 (Mentor Graphics)
Undergraduates
- William He, 2022 (PhD student at CMU)
- Ivan-Aleksandar Mavrov, 2023 (PhD student at Stanford)
- Zeyu Shen, 2023 (PhD student at Cornell)
- Haofeng (Fred) Zhang, 2018 (PhD student at Harvard)
- Arun Ganesh, 2017 (PhD student at UC Berkeley)
- Rex Ying, 2016 (PhD student at Stanford)
- William Victor, 2016 (Applied Predictive Technologies)
- Niel Lebeck, 2014 (PhD student at UW Seattle)
- Ben Berg, 2013 (PhD at CMU)
- Siyang Chen, 2012 (Google)
- Peng Shi, 2010 (PhD student at MIT -> Microsoft Research -> Assistant Professor at USC Marshall School of Business)