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PhD Research Showcase

The Computer Science PhD Research Showcase is an annual departmental event to showcase the research of our PhD students, who have the opportunity to demonstrate their research, receive feedback, and exchange information. The departmental objectives are the following:

  1. to improve the student’sresearch communication skills,
  2. to provide to feedback related to the students’ research progress and presentation of their ideas and results,
  3. to encourage scientific exchange of ideas between students and faculty working in different areas, and
  4. to promote internal community developmentby getting to know faculty and peers.

PhD Research Showcase
Wednesday, October 28, 2026
10 AM - 1 PM
PGH 5th Floor

 

For Fall 2026, all CS PhD students who have passed the PhD RCE exam or have started their third year and beyond are expected to participate.

Expectations and Timeline:

  1. Register by Friday, September 25, 2026.
  2. Registered students will be manually added to PhD Showcase course in Canvas
  3. Submit draft poster via Canvas course by Saturdya, October 3, 2026.
  4. Attend Faculty Office Hours on Friday, October 9, 2026, time TBA, location TBA. This will be to receive in-person feedback on your poster.
  5. Submit final poster via Canvas for judging review by Friday, October 16, 2026.
  6. Submit a final poster via Canvas for printing by Wednesday, October 21, 2026.
  7. Present on Wednesday, October 28, 2026.

Dates and times subject to change. Updates will be announced in Canvas for those who register.

Fall 2025

  • Best Poster: Chad Weatherly - Continual Learning for Unsupervised Anomaly Detection in Dynamic Industrial Environments (Advisor: Sen Li)
  • Honorable Mention: Ruofan Wu - Compose RAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering (Advisor: Feng Yan)
  • Honorable Mention: Adeel Zafar - Automated Hairpin Vortex Extraction in Turbulent Boundary Layers (Advisor: Guoning Chen)
  • People's Choice Best Poster:  Hosein Neeli - OptiFlow: Deep Learning-Based Motion Estimation and Frame Interpolation for Brain MRI (Advisor: Nikolaos Tsekos)
  • People's Choice Runner Up: Dipayan Biswas - Role of Speech Transcripts and Video Frames in Summarizing Presentation-Style Educational Videos (Advisor: Jaspal Subhlok)
  • People's Choice Runnder Up: Ruofan Wu - Compose RAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering (Advisor: Feng Yan)

Fall 2024

  • Judge's Choice Best Poster: Thomas Carroll - Work-In-Progress: Using Interaction Between Vehicles to Reduce Deadline Tardiness from a Route Assignment Perspective
  • Judge's Choice Best Poster: Michael Yantosca - ARTIC/Phonotomizer: An Adaptive, Real-Time Pipeline for Unsupervised, Multilingual Phonetic Segmentation
  • People's Choice Best Poster: Meng-Chen (Martin) Lee - DialogueDiffu: Dyadic Conversational Co-Speech Gesture Synthesis

Spring 2024

  • Judge's Choice Best Poster: Robert Griffin - Designing Mobile MRI Scanners: Mass Efficiency of Halbach Ring Design Parameters
  • Judge's Choice Best Poster: Meng Chen (Martin) Lee - Online Multimodal End-of-Turn Prediction for Three-party Conversations
  • People's Choice Best Poster: Vuong (Dustin) Nguyen - Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification

Spring 2023

  • Judge's Choice Best Poster: Urmila Sampathkumar - Statistical Shape Models for Outcome Simulation in Breast Surgeries
  • People's Choice Best Poster: Urmila Sampathkumar - Statistical Shape Models for Outcome Simulation in Breast Surgeries

Organizing Committee

Dr. Guoning Chen, chair (gchen22@central.uh.edu)
Mr. Matthew Pariyothorn (mmpariyo@central.uh.edu)