PhD Candidates

UMBC lecturer and PhD candidate Susan Mitchell at UMBC's dissertation house.

Graduate students in the Ph.D. program become Doctoral candidates once they have completed all of their course work, satisfied their portfolio requirements, and successfully passed their preliminary examination.  This examination involves presenting a detailed proposal for their dissertation research, describing preliminary work and results, and demonstrating the necessary knowledge and skills to complete the project.  Once a student is a candidate, all that remains is finishing and defending the dissertation.  here is a list of the current CSEE candidates for the degree of Doctor of Philosophy.

 

  1. Matthew Anderson
    Mentor: Tulay Adali
    Topic: Joint Blind Source Separation with Multivariate Gaussian Model: Algorithms

  2. Beenish Bhatia
    Mentor: Tim Oates
    Topic: Small Interfering RNA Design Using Kernels

  3. Mark Bolstad
    Mentor: Marc Olano
    Topic: Rendering Massive Models

  4. David Chapman
    Mentor: Milton Halem
    Topic: Multidimensional Map Reduce for Remote Sensing Applications

  5. Liwei Cheng
    Mentor: Fow-Sen Choa

  6. Niyati Chhaya
    Mentor: Tim Oates
    Topic: Feature Extraction from Images of Mass Disaster Victims

  7. Grace Crowder
    Mentor: Charles Nicholas
    Topic: Metadata for Distributed Information Retrieval

  8. Donald Dimitroff
    Mentor: Sergei Nirenburg

  9. Yasaman Haghpanah jahromi
    Mentor: Marie desJardins
    Topic: A Trust Model for Decision Making in Supply Chain Management

  10. Lushan Han
    Mentor: Tim Finin
    Topic: PowerRelations: A Framework for Sharing and Integrating Web Data with Semantics

  11. Robert Holder
    Mentors: Marie desJardins and Tim Finin
    Topic: Problem Space Analysis for Plan Library Generation and Algorithm Selection in Real-time Systems

  12. Karuna Joshi
    Mentors: Yelena Yesha and Tim Finin
    Topic: Framework for an Integrated Lifecycle of Virtualized Services

  13. Srikanth Kallurkar
    Mentor: Scott Cost
    Topic: Agent-based information retrieval

  14. Niels Kasch
    Mentor: Tim Oates
    Topic: Mining Event Chains from Web-Sized Corpora

  15. Kishalay Kundu
    Mentor: Marc Olano
    Topic: Simulating open surgical procedures in virtual environments

  16. Hou-cheng Lee
    Mentor: Deepinder Sidhu

  17. Edward Luzhansky
    Mentor: Fow-Sen Choa

  18. Sai Ma
    Mentor: Tulay Adali
    Topic: Analysis of Brain Network Connectivity in fMRI Data using Spatial

  19. James Macglashan
    Mentor: Marie desJardins
    Topic: Hierarchical Skill Learning for High-level Planning

  20. Christopher Morris
    Mentor: Penny Rheingans
    Topic: A Non-Photorealistic Rendering Framework for Integrating Separate Graphics Streams

  21. Rory Mulvaney
    Mentor: Dhananjay Phatak
    Topic: Generalization without ovrefitting, predictive recall

  22. Varish Mulwad
    Mentor: Tim Finin
    Topic: Generating Linked Data by inferring the semantics of tables

  23. Phuong Nguyen
    Mentor: Yelena Yesha

  24. Michael Oehler
    Mentor: Dhananjay Phatak
    Topic: Security: Chains of modular roots of higher orders and their applications

  25. Patricia Ordonez
    Mentors: Marie desJardins and Tim Oates
    Topic: Machine learning for medical applications

  26. Pedro Rodriguez
    Mentor: Tulay Adali
    Topic: Data-driven Group Analysis of Complex-valued fMRI Data

  27. Joel Sachs
    Mentor: Tim Finin
    Topic: Citizen Science on the Social and Semantic Web

  28. Ganesh Saiprasad
    Mentor: Chein-I Chang

  29. Randy Schauer
    Mentor: Anupam Joshi
    Topic: Intelligent Management of Distributed Rack-Based Blade Operations

  30. Fatih Senel
    Mentor: Mohamed Younis
    Topic: Relay Node Placement for Federating Segmented Wireless Sensor Networks

  31. Mohamad Shahine
    Mentor: Ray (YJ) Chen

  32. Elko Tchernev

  33. Michael Tope
    Mentor: Joel Morris
    Topic: Estimating the capacity of unknown and/or analytically intractable channels with high input dimensionality via channel probing and/or simulation

  34. David Trimm
    Mentor: Penny Rheingans
    Topic: Visualizing path data

  35. Dean Wright
    Mentor: Tim Oates
    Topic: Finding a Temporal Frame Comparison Function for the Metacognitive Loop

  36. Shiming Yang
    Mentor: Kostas Kalpakis
    Topic: Improving traffic flow forecasts for road networks with data assimilation

  37. Xianshu Zhu
    Mentor: Tim Oates
    Topic: Finding Story Chains in Newswire Articles