2011 - Fellow of the American Association for the Advancement of Science (AAAS)
2010 - ACM Fellow For algorithmic contributions in computational geometry, networks, and computational economics.
2007 - ACM Distinguished Member
Algorithm, Combinatorics, Mathematical optimization, Distributed computing and Computer network are his primary areas of study. His work deals with themes such as Piecewise linear function, Probabilistic analysis of algorithms, Floyd–Warshall algorithm, Path and Trajectory, which intersect with Algorithm. His Combinatorics research is multidisciplinary, incorporating elements of Discrete mathematics, Plane and Convex polytope.
His work carried out in the field of Mathematical optimization brings together such families of science as Bidding, Combinatorial auction, Spectrum auction and Auction algorithm. The study incorporates disciplines such as Mobile ad hoc network, Wireless ad hoc network, Wireless sensor network and Communications protocol in addition to Distributed computing. Computer network is closely attributed to Scalability in his study.
His primary scientific interests are in Combinatorics, Discrete mathematics, Algorithm, Theoretical computer science and Mathematical optimization. His Combinatorics study incorporates themes from Point, Plane and Polygon. His Polygon research is multidisciplinary, relying on both Visibility and Regular polygon.
His Discrete mathematics research includes themes of Upper and lower bounds and Data structure. His studies in Algorithm integrate themes in fields like Data stream and Wireless sensor network. The concepts of his Mathematical optimization study are interwoven with issues in Auction theory, Convex hull and Combinatorial auction.
His primary areas of study are Combinatorics, Discrete mathematics, Point, Plane and Approximation algorithm. His research in Combinatorics intersects with topics in Rectangle, Upper and lower bounds and Regular polygon. His work in Discrete mathematics addresses issues such as Hyperbolic space, which are connected to fields such as Book embedding.
His Point study combines topics in areas such as Probabilistic logic, Art gallery problem, Convex hull and k-nearest neighbors algorithm. His study focuses on the intersection of Plane and fields such as Path with connections in the field of Function. His Approximation algorithm study deals with the bigger picture of Mathematical optimization.
Subhash Suri mainly investigates Combinatorics, Point, Discrete mathematics, Convex hull and Approximation algorithm. His Combinatorics study combines topics from a wide range of disciplines, such as Upper and lower bounds, Pursuit-evasion and k-nearest neighbors algorithm. His research investigates the link between Point and topics such as Computational geometry that cross with problems in Closest pair of points problem, Data structure, Star-shaped polygon, Art gallery problem and Monotone polygon.
The Discrete mathematics study combines topics in areas such as Function, Linear function, Hyperbolic space and Shortest path problem. Approximation algorithm is a subfield of Mathematical optimization that Subhash Suri studies. Subhash Suri focuses mostly in the field of Mathematical optimization, narrowing it down to topics relating to Representation and, in certain cases, Algorithm, Regret, Very large database, Greedy algorithm and Minification.
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Fast and scalable layer four switching
V. Srinivasan;G. Varghese;S. Suri;M. Waldvogel.
acm special interest group on data communication (1998)
Towards realistic mobility models for mobile ad hoc networks
Amit Jardosh;Elizabeth M. Belding-Royer;Kevin C. Almeroth;Subhash Suri.
acm/ieee international conference on mobile computing and networking (2003)
Packet classification using tuple space search
V. Srinivasan;S. Suri;G. Varghese.
acm special interest group on data communication (1999)
Medians and beyond: new aggregation techniques for sensor networks
Nisheeth Shrivastava;Chiranjeeb Buragohain;Divyakant Agrawal;Subhash Suri.
international conference on embedded networked sensor systems (2004)
eBay in the Sky: strategy-proof wireless spectrum auctions
Xia Zhou;Sorabh Gandhi;Subhash Suri;Haitao Zheng.
acm/ieee international conference on mobile computing and networking (2008)
CABOB: A Fast Optimal Algorithm for Winner Determination in Combinatorial Auctions
Tuomas Sandholm;Subhash Suri;Andrew Gilpin;David Levine.
A game theoretic framework for incentives in P2P systems
C. Buragohain;D. Agrawal;S. Suri.
international conference on peer-to-peer computing (2003)
Detecting and resolving packet filter conflicts
A. Hari;S. Suri;G. Parulkar.
international conference on computer communications (2000)
An Optimal Algorithm for Euclidean Shortest Paths in the Plane
John Hershberger;Subhash Suri.
SIAM Journal on Computing (1999)
A General Framework for Wireless Spectrum Auctions
S. Gandhi;C. Buragohain;Lili Cao;Haitao Zheng.
2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (2007)
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