Boston University
Computer Science Research Excellence Award
Established in 2002, the BU Computer Science Research Excellence Award (REA) is presented annually to Ph.D. students who have produced outstanding research results over the course of their studies in the department. To be considered for this award, BU/CS PhD students must first be nominated by their advisor. The winners are then recommended by a faculty REA selection committee and approved by the entire BU/CS faculty.

The following are commendations by the REA selection committee for distinguished winners  from past academic years.

2010/11 Research Excellence Award Winner

2009/10 Research Excellence Award Winner

2008/09 Research Excellence Award Winner

2007/08 Research Excellence Award Winner

2006/07 Research Excellence Award Winner

2005/06 Research Excellence Award Winner

2003/04 Research Excellence Award Winners

2002/03 Research Excellence Award Winners

 


AY '10/11 Winners

Michalis Potamias
Michalis's research has been on analyzing and querying large and complex
graph structures with applications in biological and social networks. He
proposed new distance functions between nodes in probabilistic graphs and
he designed and implemented efficient algorithms to answer nearest
neighbor queries on very large probabilistic graphs. In addition, he
proposed and implemented a scalable and effective algorithm to cluster
massive probabilistic graphs using graph edit distance. Furthermore, he
proposed a model to quantify and explain information propagation in social
networks based on both endogenous and exogenous criteria. Finally, he has
worked on a number of other diverse areas including query optimization on
the cloud, indexing deterministic graphs, and indexing multimedia data.
His work has been published in top database venues including VLDB, ACM
SIGMOD, IEEE ICDE, and ACM CIKM. His work on shortest path distance estimation in large networks received the Best Student Paper Award in ACM CIKM 2009.

Georgios Zervas
Georgios's research agenda is broad, and spans a wide spectrum of
technologies in the online economy, from sponsored search advertising and
second-price auctions, to modeling incentives in the link economy and the
blogosphere, to quantifying tradeoffs between the value of private
information and the ability to audit an untrusted third party. In his
research he combines mathematical modeling with data analysis of large and
original sources of data. An indicative example of Georgios's work is his
recent paper published in the ACM Symposium on Electronic Commerce (EC'10). The paper presents a large-scale study of the leading pay-per-bid
auctioneer, Swoopo. This paper is the first to model information
asymmetries across players and capture the large margins made by Swoopo
and other sites. The mathematical models that capture such asymmetries are
combined with a large-scale data-analysis study on traces of tens of
thousands of auctions. The experiments validate findings from the models
and also study the effectiveness of behavioral strategies by participants,
such as the impact of aggressive bidding.

 

AY '09/10 Winner

Bhavana Kanukurthi
Bhavana's research has been on cryptographic key agreement protocols that do not rely on any computational assumptions but instead utilize minimal amounts of shared knowledge that the communicating parties possess. She has constructed the first such protocol to run in polynomial time (Eurocrypt 2009). She then further improved it, using techniques from error-correcting codes, to develop the first protocol in which the amount of initial shared knowledge required is only linear in the desired security (STOC 2010). With the help of undergraduates under her supervision, she developed an implementation of the protocol that demonstrated its applicability in practice. She has given several excellent talks on her work at top computer science departments around the world.
 

AY '08/09 Winners

Kyle Burke
Kyle Burke’s research has been on games built upon mathematical theorems that are fundamental to Economics. Specifically, he designed two games, Atropos and Dictator. Atropos is based on Sperner's lemma, one of the most important Fixed Point Theorems. The Dictator is based on Arrow's theorem. The design of both games show great creativity. These games can be valuable for computer science and mathematics education. Kyle also obtained solid complexity results for both games.

Jorge Londono
Jorge Londono's research focuses on optimization and game-theoretic approaches for embedding multiple overlay (virtual) networks into a single shared (physical) host network. This "network embedding" problem is central to emerging cloud computing and virtualization paradigms. From a system-centric perspective, Jorge devised solutions that aim to maximize the efficiency of the hosting network. From a user-centric perspective, Jorge devised solutions that recognize the selfish nature of the users and host. In both settings, Jorge's contributions, which appeared in a number of papers, include theoretical results and empirical evaluation.

 

AY '07/08 Winner

Gabe Parmer
Gabe Parmer's research has focused on both mechanisms and policies that are central to the design of dependable and predictable software systems. In 2006, he co-authored a best-paper at IEEE RTAS, on the design of kernel- and user-level solutions for sandboxing application-specific real-time services. This was followed by the development of the "Hijack" infrastructure for Linux, that supported interposition of user-defined services on system calls and interrupts. In effect, this allowed users to define application-specific services to over-ride those of the underlying kernel, where appropriate, while ensuring the integrity of the core OS was not compromised. More recently, the work on Hijack has been used to implement a component-based system, called "Composite", that features the notion of "mutable protection domains" (MPDs). MPDs essentially form adaptable isolation boundaries around software components, thereby influencing the communication cost between one component and another. This enables a system to adapt itself to the highest degree of isolation between components, thereby maximizing dependability, while ensuring timely execution. In 2007, Gabe had several notable first-author publications and presentations including at RTAS, RTSS, PDPTA and VMworld.
 

AY '06/07 Winner

Jingbin Wang
Jingbin has shown excellent taste in selecting or defining the tough problems that are central in his field. His algorithms are not only theoretically interesting, but also solve important practical tasks. For example, his results on tracking and recognizing non-rigid hand motions are so far among the best in the world. His work in the area of image segmentation and object recognition appears in the proceedings of some highly competitive conferences and a journal. Some problems he worked on: 1. Recognizing objects with varying shape in images. Parts of such objects can appear in many different ways in an image and can even be occluded altogether. With his co-authors, he developed a probabilistic tool, ``Hidden State Shape Models'', then (by himself) applied it to localize hands, fingers and other objects in heavily cluttered test images. 2. Combination of grouping image regions with shape-based object recognition; the resulting first-authored paper became very visible. 3. For the problem of locating the major lung fissures on CT (computer tomography), he discovered an elegant, probabilistic method to combine prior shape information with data. 4. He designed and independently wrote the code for an extensively-used human-computer interaction system for visualization and processing of chest CT images.
 

AY '05/06 Winner

Anukool Lakhina
Anukool has shown that analyzing traffic measurements from many points in the network simultaneously yields enormous leverage on a number of practical problems in networking. He has been the first to develop methods to do this. The work attracted attention at a series of top conferences, and results in an outstanding publication record that would be the envy of any junior faculty member (and a good start on a strong tenure case at a top-ranked school). While being theoretically grounded, it has immense practical value, since it is useful for identifying unusual operating conditions in networks, for predicting future traffic patterns, for estimating unavailable traffic measurements, and for diagnosing network intrusion and network abuse. The methods that Anukool has developed are quickly being adopted by other researchers; papers are already appearing that are applying his methods to other problems.
 

AY '03/04 Winners

Vassilis Athitsos
As a senior graduate student in the Image and Video Computing group at Boston University, Vassilis has been productive in a wide range of areas -- computer vision, machine learning, pattern recognition, databases, and human-computer interfaces. His most recent first-authored paper on a method for constructing embeddings for similarity indexing and nearest-neighbor classification was accepted as an oral presentation at the 2004 IEEE Conference on Computer Vision and Pattern Recognition. The conference committee only accepted 56 out of 810 submissions (7%) for oral presentation. Vassilis' innovative research in hand pose estimation has also drawn considerable attention in his research community. His rigorous, trend-setting methods have been published in the proceedings of several refereed national and international conferences. His earlier collaborations have led to papers on skin-color based segmentation and computational tools for analyzing American Sign Language in prestigious journals. Vassilis' record demonstrates that he is a very creative, productive, and versatile researcher.
 
Jeffrey Considine
Jeffrey's research at B.U. has covered an astonishingly broad set of areas, spanning theory, networking, databases, programming languages and security. His collaborations have led to publications in top conferences in many of these disciplines. Most recently, Jeffrey has focused on services and applications for peer-to-peer and overlay networks, with well-received recent papers at ACM SIGCOMM '02 and IPTPS '03. An extension of his SIGCOMM '02 paper was recently accepted in the prestigious IEEE/ACM Transactions on Networking. Jeffrey was the first author on an IEEE ICDE '04 paper which won the best paper award for contribution to the emerging area of sensor aggregation. Jeffrey has demonstrated an amazing versatility as a researcher with a remarkable ability to go deep in the diverse contexts of theorem-proving, experimental evaluation, and systems-building.
 

AY 02/03 Winners

Liang Guo
Liang's Ph.D. thesis, which he defended in May 2003, considers novel extensions to the existing Internet architecture to manage traffic using fast flow classification. His Ph.D. examining committee was uniformly impressed with the technical depth in his models and analysis and with his comprehensive experimental findings. Results from his thesis have been widely disseminated in top networking conferences and have spurred a great deal of interest in the community at large. In addition to his dissertation work, Liang published numerous papers on other networking topics ranging from congestion control to applied queuing theory to network routing.
 
Shudong Jin
Shudong's Ph.D. thesis, which he defended in May 2003, advances the state of the art in two distinct areas in computer networking: Internet characterization and in scalable content delivery. He is being recognized for the technical strength of his research work, for the independence with which he pursued his PhD research, and for his initiative in pursuing collaborative research with fellow graduate students. Shudong's publication record is exceptionally strong for a graduate student, with over ten refereed conference papers and five journal articles, including a recent article in IEEE/ACM Transactions on Networking.