2019 Dissertation Titles • Software Quality Understanding by ... | Study Guides, Projects, Research Computer Science

!Computer!Science:!Ph.D.!Dissertation!Topics!

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2019 Dissertation Titles

• Software Quality Understanding by Analysis of Abundant Data (SQUAAD): Towards

Better Understanding of Life Cycle Software Qualities, Principal Investigator (P.I): Barry

Boehm, Professor

• Efficient Graph Processing with Graph Semantics Aware Intelligent Storage, P.I: Murali

Annavaram, Professor

• Representation Problems in Brain Imaging, P.I: Greg Ver Steeg, Assistant Professor

• The Complexity of Functions, P.I: Leonard Adleman, Professor

• Defending Industrial Control Systems: An End-To-End Approach for Managing Cyber-

Physical Risk, P.I: Clifford Neuman, Associate Professor

• Enabling Spatial-Visual Search for Geospatial Image Databases, P.I:!Cyrus Shahabi,

Professor

• Graph Embedding Algorithms for Attributed and Temporal Graphs, P.I:!Emilio Ferrara,

Assistant Professor

• Computational Models for Multidimensional Annotations of Affect, P.I:!Shrikanth

Narayanan, Professor

• Speeding up Path Planning on State Lattices and Grid Graphs by Exploiting Freespace

Structure, P.I:!Sven Koenig, Professor

• Incrementality for visual reference resolution in spoken dialogue systems, P.I:!Kallirroi

Georgila, Assistant Professor

• Calibrating COCOMO(R) II for Functional Size Metrics, P.I:!Barry Boehm, Professor

• Understanding and Optimizing Internet Video Delivery, P.I:!Ramesh Govindan,

Professor

• Data Scarcity in Robotics: Leveraging Structural Priors and Representation Learning, P.I:!

Gaurav Sukhatme, Professor

• Leveraging Training Information for Efficient and Robust Deep Learning, P.I:!Fei Sha,

Associate Professor

• Learning from Planners to Enable New Robot Capabilities, P.I:!Gaurav Sukhatme,

Professor

• Deep Representations for Shapes, Structures and Motion, P.I:!Hao Li, Associate

Professor

• Leveraging Structure for Learning Robot Control and Reactive Planning, P.I:!Gaurav

Sukhatme, Professor

• Efficient Bounded-Suboptimal Multi-Agent Path Finding and Motion Planning via

Improvements to Focal Search, P.I:!Sven Koenig, Professor

• Improving Network Security through Collaborative Sharing, P.I:!John Heidemann,

Professor

• Detecting and Characterizing Network Devices Using Signatures of Traffic About End-

Points, P.I: John Heidemann, Professor

• Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers, P.I:!

Robert Lucas, Associate Professor

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2019 Dissertation Titles

Software Quality Understanding by Analysis of Abundant Data (SQUAAD): Towards Better Understanding of Life Cycle Software Qualities, Principal Investigator (P.I): Barry Boehm, Professor
Efficient Graph Processing with Graph Semantics Aware Intelligent Storage, P.I: Murali Annavaram, Professor
Representation Problems in Brain Imaging, P.I: Greg Ver Steeg, Assistant Professor
The Complexity of Functions, P.I: Leonard Adleman, Professor
Defending Industrial Control Systems: An End-To-End Approach for Managing Cyber- Physical Risk, P.I: Clifford Neuman, Associate Professor
Enabling Spatial-Visual Search for Geospatial Image Databases, P.I: Cyrus Shahabi, Professor
Graph Embedding Algorithms for Attributed and Temporal Graphs, P.I: Emilio Ferrara, Assistant Professor
Computational Models for Multidimensional Annotations of Affect, P.I: Shrikanth Narayanan, Professor
Speeding up Path Planning on State Lattices and Grid Graphs by Exploiting Freespace Structure, P.I: Sven Koenig, Professor
Incrementality for visual reference resolution in spoken dialogue systems, P.I: Kallirroi Georgila, Assistant Professor
Calibrating COCOMO(R) II for Functional Size Metrics, P.I: Barry Boehm, Professor
Understanding and Optimizing Internet Video Delivery, P.I: Ramesh Govindan, Professor
Data Scarcity in Robotics: Leveraging Structural Priors and Representation Learning, P.I: Gaurav Sukhatme, Professor
Leveraging Training Information for Efficient and Robust Deep Learning, P.I: Fei Sha, Associate Professor
Learning from Planners to Enable New Robot Capabilities, P.I: Gaurav Sukhatme, Professor
Deep Representations for Shapes, Structures and Motion, P.I: Hao Li, Associate Professor
Leveraging Structure for Learning Robot Control and Reactive Planning, P.I: Gaurav Sukhatme, Professor
Efficient Bounded-Suboptimal Multi-Agent Path Finding and Motion Planning via Improvements to Focal Search, P.I: Sven Koenig, Professor
Improving Network Security through Collaborative Sharing, P.I: John Heidemann, Professor
Detecting and Characterizing Network Devices Using Signatures of Traffic About End- Points, P.I: John Heidemann, Professor
Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers, P.I: Robert Lucas, Associate Professor

Target Assignment and Path Planning for Navigation Tasks with Teams of Agents, P.I: Sven Koenig, Professor
A Framework for Research in Human-Agent Negotiation, P.I: Jonathan Gratch, Professor
Invariant Representation Learning for Robust and Fair Predictions, P.I: Premkumar Natarajan, Professor
Generating Psycholinguistic Norms and Applications, P.I: Shrikanth Narayanan, Professor
Optimization of the Combinatoric Closely Spaced Objects Resolution Algorithm with Adiabatic Quantum Annealing, P.I: Robert Lucas, Associate Professor
Effective Data Representations for Deep Human Digitization, P.I: Hao Li, Associate Professor
Efficient Pipelines for Vision-Based Context Sensing, P.I: Ramesh Govindan, Professor
Enabling symbolic execution string comparison during code-analysis of malicious binaries, P.I: Clifford Neuman, Associate Professor 2018 Dissertation Titles
Decoding Information about Human-Agent Negotiations from Brain Patterns, P.I: Morteza Dehghani, Assistant Professor
Multi-Robot Strategies for Adaptive Sampling with Autonomous Underwater Vehicles, P.I: Gaurav Sukhatme, Professor
Empirical Study of Informational Regularizations in Learning Useful and Interpretable Representations, P.I: Raghu Raghavendra, Professor
Rapid Creation of Photorealistic Virtual Reality Content with Consumer Depth Cameras, P.I: Evan Suma Rosenberg, Assistant Professor
Do Humans Play Dice: Choice Making with Randomization, P.I: David Kempe, Associate Professor
Hierarchical Planning in Security Games; A Game Theoretic Approach to Strategic, Tactical and Operational Decision Making, P.I: Milind Tambe, Professor
Dynamic Pricing and Task Assignment in Real-Time Spatial Crowdsourcing Platforms, P.I: Cyrus Shahabi, Professor
Nonverbal Communication for Non-Humanoid Robots, PI: Maja Mataric, Professor
Deep Learning Models for Temporal Data in Health Care, P.I: Yan Liu, Associate Professor
Architectural Evolution and Decay in Software Systems, P.I: Nenad Medvidovic, Professor
Balancing Security and Performance of Network Request-Response Protocols, P.I: John Heidemann, Professor
From Active to Interactive 3D Object Recognition, P.I: Nora Ayanian, Assistant Professor
Speech and Language Understanding in the Sigma Cognitive Architecture, P.I: Paul Rosenbloom, Professor

Artistic Control Combined with Contact and Elasticity Modeling in Computer Animation Pipelines, P.I: Jernej Barbic, Associate Professor
Detection, Localization, and Repair of Internationalization Presentation Failures in Web Applications, P.I: William Guillermo Jos Halfond, Associate Professor
3D Deep Learning for Perception and Modeling, P.I: Ulrich Neumann, Professor
Smart Monitoring and Autonomous Situation Classification of Humans and Machines, P.I: Laurent Itti, Professor
Deep Generative Models for Image Translation, P.I: C.-C. Jay Kuo, Professor
Predicting and Planning against Real-world Adversaries: An End-to-end Pipeline to Combat Illegal Wildlife Poachers on a Global Scale, P.I: Milind Tambe, Professor
Learning to Adapt to Sensor Changes and Failures, P.I: Craig Knoblock, Professor 2017 Dissertation Titles
Learning Affordances through Interactive Perception and Manipulation, P.I: Gaurav Sukhatme, Professor
Landmark Detection for Faces in the Wild, P.I: Laurent Itti, Professor
Estimation-Based Control for Humanoid Robots, P.I: Stefan Schaal, Professor
Human Appearance Analysis and Synthesis Using Deep Learning, P.I: Hao Li, Assistant Professor
Neural Networks for Narrative Continuation, P.I: Andrew Gordon, Associate Professor
Rethinking Perception-Action Loops via Interactive Perception and Learned Representations, P.I: Gaurav Sukhatme, Professor
Dynamic Graph Analytics for Cyber Systems Security Applications, P.I: Viktor Prasanna, Professor
Learning Invariant Features in Modulatory Neural Networks Through Conflict and Ambiguity, P.I: Laurent Itti, Professor
Design and Evaluation of Adaptive Redirected Walking Systems, P.I: Evan Suma, Assistant Professor
Efficient Indexing and Querying of Geo-tagged Mobile Videos, P.I: Ying Lu, Professor
Understanding the Relationship Between Goals and Attention, P.I: Laurent Itti, Professor
Location Privacy in Spatial Crowdsourcing, P.I: Cyrus Shahabi, Professor
Improving machine learning algorithms via efficient data relevance discovery, P.I: Yan Liu, Associate Professor
From Matching to Querying: A Unified Framework For Ontology Integration, P.I: Viktor Prasanna, Professor
Face Recognition and 3D Face Modeling from images in the wild, P.I: Gerard Medioni, Professor
Distributed Resource Management For QOS-Aware Service Provision, P.I: Leana Golubchik, Professor

3D Inference and Registration with Application to Retinal and Facial Image Analysis, P.I: Gerard Medioni, Professor
Reducing Inter-Component Communication Vulnerabilities in Event-Based Systems, P.I: Nenad Medvidovic, Professor
A model for estimating cross-project multitasking overhead in software development projects, P.I: Barry Boehm, Professor
Real-World Evaluation and Deployment of Wildlife Crime Prediction Models, P.I: Milind Tambe, Professor
Spatiotemporal Traffic Forecasting in Road Networks, P.I: Cyrus Shahabi, Professor
Automated Negotiation with Humans, P.I: Jonathan Gratch, Professor
Simultaneous Center of Mass Estimation and Foot Placement Selection in Complex Planar Terrains for Legged Architectures, P.I: Wei-Min Shen, Professor
Computational Aspects of Optimal Information Revelation, P.I: Shang-Hua Teng, Professor
Resource Scheduling in Geo-distributed Computing, P.I: Leana Golubchik, Professor
Mutual Information Estimation and Its Applications to Machine Learnin, P.I: Aram Galstyan, Associate Professor
Multimodal Representation Learning of Affective Behavior, P.I: Stefan Scherer, Assistant Professor
Neural Creative Language Generation, P.I: Kevin Knight, Professor
Computing Cascades: How to Spread Rumors, Win Campaigns, Stop Violence, and Predict Epidemics, P.I: Viktor Prasanna, Professor
Neural Sequence Models: Interpretation and Augmentation, P.I: Kevin Knight, Professor
Conversation-Level Syntax Similarity Metric, P.I: Morteza Dehghani, Assistant Professor
Artificial Intelligence for Low Resource Communities: Influence Maximization in an Uncertain World, P.I: Milind Tambe, Professor
Automated Repair of Presentation Failures in Web Applications Using Search-based Techniques, P.I: William G. J. Halfond, Associate Professor
Scaling-out Traffic Management in the Cloud, P.I: Minlan Yu, Associate Professor
Optimization-Based Whole-Body Control and Reactive Planning for a Torque Controlled Humanoid Robot, P.I: Stefan Schaal, Professor
Scalable Machine Learning Algorithms for Item Recommendation, P.I: Prem Natarajan, Professor
Weighted Factor Automata: A Finite-State Framework for Spoken Content Retrieval, P.I: Shrikanth Narayanan, Professor
Techniques for Methodically Exploring Software Development Alternatives, P.I: Nenad Medvidovic, Professor
Identifying Social Roles in Online Contentious Discussions, P.I: Ron Artstein, Assistant Professor

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