مرتضی منعمی زاده
Morteza Monemizadeh
Affiliations:
TU Eindhoven, Department of Mathematics and Computer Science, The Netherlands (2020 - )
Assistant Professor
Amazon, Palo Alto, CA, USA and WalmartLabs, Sunnyvale, CA, USA (2017-2020)
Senior Research Scientist
Rutgers University, Department of Computer Science, Piscataway, NJ, USA (2016)
Visiting Assistant Professor
Charles University, Computer Science Institute, Prague, Czech Republic (2015-2016)
Assistant Professor
University of Maryland, Department of Computer Science, College Park, USA (2014)
Postdoc
Goethe University Frankfurt am Main, Institute for Computer Science, Germany (2011-2013)
Postdoc
Dortmund University of Technology, Department of Computer Science, Germany (2006-2010)
PhD
Research Interests:
Massive data models and algorithms (Streaming, Sublinear, Dynamic, and Massively Parallel Computation)
Machine learning (Video Summarization, Clustering, Submodular Maximization, Anomaly Detection and NLP)
Graph Theory and Combinatorics
Publication:
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Dynamic Algorithms for Matroid Submodular Maximization. SODA 2024 (to appear)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Dynamic Non-monotone Submodular Maximization. NeurIPS 2023 (to appear)
Leyla Biabani, Annika Hennes, Morteza Monemizadeh, Melanie Schmidt, Faster Query Times for Fully Dynamic Center Clustering with Outliers. NeurIPS 2023 (to appear)
Mark de Berg, Sándor Kisfaludi-Bak, Morteza Monemizadeh, Leonidas Theocharous: Clique-Based Separators for Geometric Intersection Graphs. Algorithmica 85(6): 1652-1678 (2023)
Morteza Monemizadeh: Facility Location in the Sublinear Geometric Model. APPROX/RANDOM 2023: 6:1-6:24
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh: Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. ICML 2023: 1660-1691
Mark de Berg, Leyla Biabani, Morteza Monemizadeh: k-Center Clustering with Outliers in the MPC and Streaming Model. IPDPS 2023: 853-863
Mark de Berg, Leyla Biabani, Morteza Monemizadeh, Leonidas Theocharous: Clustering in Polygonal Domains. ISAAC 2023: 23:1-23:15 (This work has been invited to Journal of Computational Geometry: Theory and Applications (CGTA) special issue on ISAAC 23.)
Henk Alkema, Mark de Berg, Morteza Monemizadeh, Leonidas Theocharous: TSP in a Simple Polygon. ESA 2022: 5:1-5:14.
MohammadHossein Bateni, Morteza Monemizadeh, Kees Voorintholt: Efficient Distributed Algorithms for Minimum Spanning Tree in Dense Graphs. ICDM (Workshops) 2022: 777-786
Mark de Berg, Morteza Monemizadeh, Yu Zhong: k-Center Clustering with Outliers in the Sliding-Window Model. ESA 2021: 13:1-13:13
Mark de Berg, Sándor Kisfaludi-Bak, Morteza Monemizadeh, Leonidas Theocharous: Clique-Based Separators for Geometric Intersection Graphs. ISAAC 2021: 22:1-22:15
Leyla Biabani, Mark de Berg, Morteza Monemizadeh: Maximum-Weight Matching in Sliding Windows and Beyond. ISAAC 2021: 73:1-73:16
Morteza Monemizadeh: Dynamic Submodular Maximization. NeurIPS 2020
Marc Bury, Elena Grigorescu, Andrew McGregor, Morteza Monemizadeh, Chris Schwiegelshohn, Sofya Vorotnikova, Samson Zhou: Structural Results on Matching Estimation with Applications to Streaming. Algorithmica 81(1): 367-392 (2019)
Artur Czumaj, Morteza Monemizadeh, Krzysztof Onak, Christian Sohler: Planar graphs: Random walks and bipartiteness testing. Random Struct. Algorithms 55(1): 104-124 (2019)
Hossein Esfandiari, MohammadTaghi Hajiaghayi, Vahid Liaghat, Morteza Monemizadeh, Krzysztof Onak: Streaming Algorithms for Estimating the Matching Size in Planar Graphs and Beyond. ACM Trans. Algorithms 14(4): 48:1-48:23 (2018)
Hossein Esfandiari, MohammadTaghi Hajiaghayi, Vahid Liaghat, Morteza Monemizadeh: Prophet Secretary. SIAM J. Discret. Math. 31(3): 1685-1701 (2017)
Graham Cormode, Hossein Jowhari, Morteza Monemizadeh, S. Muthukrishnan: The Sparse Awakens: Streaming Algorithms for Matching Size Estimation in Sparse Graphs. ESA 2017: 29:1-29:15
Morteza Monemizadeh, S. Muthukrishnan, Pan Peng, Christian Sohler: Testable Bounded Degree Graph Properties Are Random Order Streamable. ICALP 2017: 131:1-131:14
Priya Govindan, Morteza Monemizadeh, S. Muthukrishnan: Streaming Algorithms for Measuring H-Impact. PODS 2017: 337-346
Hossein Esfandiari, MohammadTaghi Hajiaghayi, Morteza Monemizadeh: Finding Large Matchings in Semi-Streaming. ICDM Workshops 2016: 608-614
Rajesh Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Andrew McGregor, Morteza Monemizadeh, Sofya Vorotnikova: Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams. SODA 2016: 1326-1344
Vladimir Braverman, Harry Lang, Keith Levin, Morteza Monemizadeh: Clustering Problems on Sliding Windows. SODA 2016: 1374-1390
Hossein Esfandiari, MohammadTaghi Hajiaghayi, Vahid Liaghat, Morteza Monemizadeh: Prophet Secretary. ESA 2015: 496-508
Vladimir Braverman, Harry Lang, Keith Levin, Morteza Monemizadeh: Clustering on Sliding Windows in Polylogarithmic Space. FSTTCS 2015: 350-364
Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Vahid Liaghat, Morteza Monemizadeh, Krzysztof Onak: Streaming Algorithms for Estimating the Matching Size in Planar Graphs and Beyond. SODA 2015: 1217-1233
Rajesh Hemant Chitnis, Graham Cormode, Mohammad Taghi Hajiaghayi, Morteza Monemizadeh: Parameterized Streaming: Maximal Matching and Vertex Cover. SODA 2015: 1234-1251
Rajesh Hemant Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Morteza Monemizadeh: Brief Announcement: New Streaming Algorithms for Parameterized Maximal Matching & Beyond. SPAA 2015: 56-58
Artur Czumaj, Christiane Lammersen, Morteza Monemizadeh, Christian Sohler: (1+ Є)-approximation for facility location in data streams. SODA 2013: 1710-1728
Morteza Monemizadeh: Non-uniform Sampling in Clustering and Streaming. Dortmund University of Technology, 2011
Artur Czumaj, Morteza Monemizadeh, Krzysztof Onak, Christian Sohler: Planar Graphs: Random Walks and Bipartiteness Testing. FOCS 2011: 423-432
Dan Feldman, Morteza Monemizadeh, Christian Sohler, David P. Woodruff: Coresets and Sketches for High Dimensional Subspace Approximation Problems. SODA 2010: 630-649
Morteza Monemizadeh, David P. Woodruff: 1-Pass Relative-Error Lp-Sampling with Applications. SODA 2010: 1143-1160
Dan Feldman, Morteza Monemizadeh, Christian Sohler: A PTAS for k-means clustering based on weak coresets. SCG 2007: 11-18
Mohammad Ghodsi, Oktie Hassanzadeh, Shahab Kamali, Morteza Monemizadeh: A Hybrid Approach for Refreshing Web Page Repositories. DASFAA 2005: 588-593