Lab Members

FACULTY
Dr. Marie desJardins Machine learning, distributed and mixed-initiative planning, communication and coordination in multiagent systems, interactive techniques for AI systems, computer science education, intelligent tutoring systems, user modeling.


DOCTORAL STUDENTS
Shawn Squire Hierarchical planning under uncertainty; CS education
John Winder (B.S. May 2013) Machine learning; adaptive user modeling

MASTERS STUDENTS
Jon Clancy Modeling uncertainty in machine learning; user modeling for intelligent tutoring systems
Michael Neary Intelligent tutoring systems

UNDERGRADUATES
(B.S. expected December 2016) Computer science education
Yisroel Allen (B.S. expected May 2019) AMDP heuristic search
Khalil Anderson (B.S. expected May 2018) Robot learning
Tadewos Bellete (B.S. expected May 2018) Robot subgoaling
Joseph Collins (B.S. expected May 2018) Robot learning
Caroline Kery (B.S. expected May 2018) User modeling for intelligent tutoring systems; visualizing learned models; CS education
Matthew Landen (B.S. expected May 2017) AMDP heuristic search, AMDP planning
Dan Lee (B.S. expected May 2019) Robot learning
Keith McNamara (B.S. expected May 2018) Robot learning, AMDP planning
Desiree Mercure (B.S. expected December 2017) Robot learning
Stephanie Milani (B.S. expected May 2017) Computer science education, intelligent tutoring systems
Connor Shaffer (B.S. expected May 2019)
Nicholay Topin (B.S. expected May 2018) Option discovery; user modeling for intelligent tutoring systems; visualizing learned models
Puja Trivedi (B.S. expected May 2019) Robot learning

ALUMNI
Justin Chavez (B.S. expected May 2018) Robot subgoaling
Phillip Hilliard (B.S. expected May 2019) Application of machine learning and visualization techniques to predict student success
Laura Holland (B.S. expected May 2020)
Russell Nesbitt (Reservoir High School Class of 2017) Robot learning
Shane Parr (Wilde Lake High School Class of 2016) Robot learning
Nathan Epstein (B.S. May 2016) Cellular automata, Go players, machine learning
Robert Holder (co-advised with Tim Finin) (Ph.D. May 2016) Efficient planning with plan libraries
Alexander Pole (M.S. May 2016) Reinforcement learning for asymmetric board games
Nick Haltmeyer (B.S. May 2016) Option discovery
Enis Golaszewski (B.S. December 2015) Computer science education
Abigail Williams (B.S. Chemistry expected May 2016) Computer science education
Bhuvana Bellala (B.S. May 2015) Robot subgoaling and learning by demonstration. Currently in the M.S. program at UC Berkeley.
Tenji Tembo (B.S. expected May 2015) Robot subgoaling and learning by demonstration
Rebecca Chhay(B.S. December 2014) Modeling student retention
Austin Duff Robot subgoaling and learning by demonstration
Alex Morrow (B.S. May 2014) Dimension reduction; visualization of uncertainty
Ranjit Doraiswamy (B.S. May 2014) User modeling for intelligent tutoring systems
Wallace Brown(B.S. August 2014) Visualization of learned models
Richard Adjogah (B.S. May 2013) Robot learning by demonstration; CS education and student retention.
James MacGlashan (Ph.D. May 2013) Hierarchical skill learning for high-level planning. Currently a postdoctoral researcher at Brown University.
Max Morawski(M.S. May 2013) Link prediction in temporal networks. Currently at Miner & Kasch.
Zachary Kurtz(M.S. May 2013) Cost-sensitive machine learning; learning from medical vital signs data; designing swarm systems
Yasaman Hagpanah (Ph.D. December 2012) Trust in networked multi-agent systems, with an application to supply chain management. Currently at NIST.
Patricia Ordoñez (co-advised with Tim Oates) (Ph.D. May 2012) Machine learning for medical applications. Currently an Assistant Professor at the University of Puerto Rico.
Rotem Ganel (B.S. May 2013) Analyzing uncertainty in learned models
Alex MacDonald (B.S. May 2013) Analyzing uncertainty in learned models
Chitra Gadwal(B.S. May 2014) Visualization of learned models
Douglas Stull (B.S. May 2012) Ensemble methods for handling missing data; analyzing uncertainty in learned models
Joe Tuzo(B.S. May 2011) Modeling lane changing in traffic dynamics
Amy Ciavolino(B.S. May 2012) Student modeling for intelligent tutoring systems
Robert Deloatch(B.S. May 2011) Student modeling for intelligent tutoring systems. Currently in the Ph.D. program at UIUC.
Eliana Feasley(B.S. August 2011) Student modeling for intelligent tutoring systems. Currently in the Ph.D. program at UT-Austin.
Peter Hamilton (M.S. May 2011) Collusion detection for multi-agent systems
David Walser (M.S. May 2011) Intelligent tutoring systems for introductory programming
Iris Kwok (B.A. Visual Arts May 2012) Intelligent tutoring systems for introductory programming
Steven Lee (B.S. May 2011) Efficient planning techniques
Tim Gruber (B.S. May 2013) Data collection for inferring online raters' preferences
Justin Ermer (B.S. May 2013) Active sampling for constructing solution maps for planning problems
Josh Jones (Postdoctoral researcher, 2009-2010) Meta-cognitive reasoning; preference modeling
Laura Zavala (Postdoctoral researcher, 2009-2010) Agent-based systems; policies and trust modeling
Jennifer Adamshick (B.S. August 2010) Analyzing confidence estimates for machine learning
Eisha Nathan (summer student, 2010) Imputation methods for machine learning
Lan Mei (summer student, 2010) Imputation methods for machine learning
Don Miner (Ph.D. May 2010) Designing agent-based models
Michael Lombardi (B.S. May 2010) Visualization techniques for medical data
Alex Bassett (B.S. May 2010) Machine learning applications
Taylor Evans (B.S. May 2010) Machine learning applications
Teresa Oswald (B.S. May 2010) Machine learning applications
Eric Wasser (B.S. May 2010) Machine learning applications
Fusun Yaman (Postdoctoral researcher, 2007-2009) Learning in planning systems
Paul Guseman (B.S. May 2009; M.S. (Tim Oates, advisor) May 2011) School redistricting; relational clustering
Gregory Handy (B.S. May 2010) Active Feature acquisition for supervised learning
Blazej Bulka (Ph.D. August 2009) Automated planning, analysis and learning of planning search spaces
Peter Hamilton (B.S. May 2009) Engineering swarm systems
Adam Anthony (Ph.D. May 2009; M.S. May 2007) Relational data clustering. Currently an Assistant Professor at Baldwin-Wallace College
Eric Eaton (Ph.D. May 2009; M.S. May 2006) Transfer learning; multiresolution learning. Currently a Senior Research Scientist at Lockheed-Martin's Advanced Technology Laboratory and adjunct faculty at Swarthmore College.
Mike Smith (Ph.D. May 2009) Trust in multiagent systems. Currently a Lead Artificial Intelligence Engineer at MITRE.
Wesley Griffin (M.S. May 2010; Marc Olano, advisor) School redistricting evaluation
Max Morawski (B.S. May 2010) School redistricting; multicriteria optimization
Peter Sterba (B.S. May 2010) Trust in multiagent systems
Steven Martin (B.S. May 2008) Relational clustering; teamwork simulation
Brandon Wilson (M.S. August 2008) Test-cost sensitive regression. Continued to the Ph.D. program at the University of Maryland, College Park.
Jake Tanenbaum (B.S. May 2008) Dimension reduction
John Stevenson (B.S. May 2008) Multiresolution learning
JC Montminy (M.S. May 2008) Preference learning for text documents
Shivali Gupta (M.S. December 2007) Evolutionary multiattribute optimization
Kavita Krishnaswamy (B.S. December 2007) Cost-sensitive learning.
Kateryna Rohonyan (B.S. May 2007) Visualizing relational data.
Ryan Carr (B.S. Honors May 2007) School redistricting, evolutionary search. Continued to graduate studies at the University of Maryland, College Park.
Jon Labin (M.S. May 2007) Multi-agent systems, emergence, distributed sensor networks.
Patrick Geissel (B.S. December 2006) Planning.
Qianjun Xu (Ph.D. May 2006; M.S. May 2003) Machine learning, feature selection, data visualization.
Natalie Podrazik (B.S. May 2006) Cost-sensitive classification
Matt Gaston (Ph.D. December 2005; M.S. May 2002) Complex networks, artificial societies, cognitive systems. Currently Director of the SEI Innovation Center.
Neeraj Kashyap (Math) (B.S. December 2003 / Applied Math M.S. August 2005) Graph-based constraint satisfaction.
Craig Cambias (B.S. May 2005) Annotated constrained clustering. Continued to graduate studies at Georgia Tech.
Maria Vachino (B.S. May 2005) Visualization of relational data; semantic interactive graph layout
Brandon Corfman (M.S. December 2004) Dynamic constraint satisfaction
Mithun Sheshagiri (M.S. August 2004). Thesis topic: Service composition for the semantic web.
Yan Hao (M.S. August 2004). Thesis topic: Multiattribute optimization of spatial partitioning problems.
Priyang Rathod (M.S. May 2004) Multiagent systems, team formation.
John Simmons (M.S. May 2004). Project topic: Team formation in multi-agent systems.
Sowmya Ponuguti (M.S. May 2004). Project topic: Value grouping for decision tree learning.
Mitch White (B.S. May 2004). Research topic: Network structures and multi-agent systems.
Laurie Botto (B.S. December 2003) Research topic: Genetic algorithms
Sohel Merchant (M.S. August 2003). Project topic: Bioinformatics data management. Currently working at Pragmatic Technology Solutions.
Csaba Rozgonyi (M.S. August 2003). Project topic: Genetic learning of control rules in reactive systems.
Joshua Barczak (B.S. May 2003). Continued to graduate studies at UMBC working with Prof. Marc Olano.
Mike Furr (B.S. May 2003). Continued to graduate studies at the University of Maryland, College Park.
Joshua Solomon (B.S. May 2003). Research topic: Temporal reasoning with non-controllable constraints.
Tom Walsh (B.S. May 2003). Undergraduate research topic: The effects of graph density on team formation in multi-agent systems.Continued to graduate studies at Rutgers University.
Xuanxuan Su (M.S. December 2002). Project title: Multi-resolution image processing for physical data. Current position (as of Spring 2003): Research specialist, Department of Neurology, University of Maryland School of Medicine.
Suryakant Sansare (M.S. August 2002). Thesis title: Incorporating constraint checking costs in constraint satisfaction problems.
Chad Sessions (former Ph.D. student). Moved to Florida, where he will hopefully resume his studies!

OTHER STUDENTS
(mentored students and those whose thesis or project committees Dr. desJardins has served or is serving on)
Jie Du (Ph.D. in progress; advisor Dr. Roy Rada (Information Systems)). Dissertation title: "Incorporating domain knowledge into memetic algorithms for financial investing".
JJ Seymour (B.S. May 2011). Ant colony optimization for dynamic problems
Niyati Chhaya (M.S. May 2010; advisor Dr. Tim Oates). Dissertation topic: Feature extraction from images of mass disaster victims.
David Trimm (Ph.D. in progress; advisor Dr. Penny Rheingans). Dissertation topic: Visualizing path data.
Alark Joshi (Ph.D. in progress; advisor Dr. Penny Rheingans). Dissertation topic: Visualizing time-varying data using illustration-inspired techniques.
Bill Krueger (M.S. in progress; advisor Dr. Tim Oates). Thesis topic: construction of theoretical entities.
Yi Lu (Ph.D. December 2007; advisor Dr. Steve Freeland, biology)
Ajay Joglekar (M.S. August 2007; advisor Dr. Tim Oates). Thesis title: Unsupervised object category recognition in images.
Soumi Ray (M.S. May 2007; advisor Dr. Tim Oates). Thesis title: Transfer in the context of reinforcement learning by mapping Q-tables.
Indrajit Bhattacharya (Ph.D. UMCP May 2007; advisor Dr. Lise Getoor). Thesis topic: Relational clustering for entity resolution.
Gang Wu (Ph.D. December 2006; advisor Dr. Steve Freeland (biology)). Thesis topic: Increasing heterologous gene expression by optimization of codon usage.
Joe Catalano (M.S. August 2006; advisor Dr. Tim Oates). Thesis topic: time series learning.
Balaji Viswanathan (M.S. May 2006; advisor Dr. Tim Finin). Thesis title: MISSION: Multiagent institutions for sensor networks.
Suraj Amonkar (M.S. December 2005; advisor Dr. Tim Oates). Thesis topic: clustering microarray data for bioinformatics.
Kamalika Das (M.S. December 2005; advisor Dr. Penny Rheingans). Thesis topic: visualization of bioinformatics data.
Eleanor Chlan (Ph.D. May 2005; advisor Dr. Penny Rheingans). Dissertation title: A botanically inspired information visualization of hierarchical data sets.
Harry Chen (Ph.D. May 2005; advisor Dr. Tim Finin). Dissertation title: A broker-centric agent architecture for building distributed context-aware systems.
Srinivas Bhagavatula (M.S. December 2004; advisor Dr. Penny Rheingans). Thesis title: Exploring the volume illustration parameter space.
Poonam Shanbhag (M.S. August 2004; advisor Dr. Penny Rheingans). Thesis topic: Visualization of time-varying data.
Mitesh Vasa (M.S. December 2004; advisor Dr. Tim Oates). Thesis title: Image classification with8in the multiple instance learning framework.
Youyong Zou (Ph.D. August 2004; advisor Dr. Tim Finin). Dissertation title: Reasoning agents for the Semantic Web.
Kunal Punwani (M.S. May 2004; advisor Dr. Tim Oates).
Shailesh Doshi (Ph.D. in progress; M.S. December 2003; advisor Dr. Tim Oates). Thesis topic: Probabilistic graph grammars.
Shari Holstege (M.S. in progress). Thesis topic: Interactive exploration of the space of possible visualizations.
Youyoung Zou (Ph.D. 2005; advisor Dr. Tim Finin). Thesis title: Reasoning agents for the Semantic Web.
Devina Desai (M.S. December 2002; advisor Dr. Tim Oates). Thesis title: Predicting patterns in multivariant time series using unsupervised learning.
Kiri Wagstaff (Ph.D. Cornell University August 2002; advisor Dr. Claire Cardie). Thesis title: Intelligent clustering with instance-level constraints. Current position (as of Fall 2003): Research scientist, Space Systems, Johns Hopkins' Applied Physics Laboratory.
Russell Osborn (Mt. Hebron High School, June 2002). Research topic: Communication in multi-agent systems. Currently (as of Fall 2002) an undergraduate at Harvey Mudd College.
Pratik Phadke (M.S. August 2001; advisor Dr. Penny Rheingans)