Research
Interests: Recent
research combines high-performance computation with AI and machine
learning applications of computer vision which focuses on real-time
multi-human tracking systems with applications in autonomous vehicles,
robotics, and surveillance; facial recognition and generation;
optimization of learning rates of deep learning convolutional neural
networks.
Visit the Parallel Distributed Systems (PDS) lab at http://PDS.ucdenver.edu |
|
|
|
- Parallel Processing
- Parallel Algorithms
- Parallel Languages
- Performance Measurement and Prediction
- Shared Memory Multiprocessors
- Distributed Systems
- Multi-Core Architectures
- Cluster Computing
- SIMD Computing
- Computer Architectures
- Operating Systems
- Simulation
|
ISBN 0-13-901158-7
Prentice
Hall (Pearson)
|
|
|
|
Teaching Interest: Graduate and undergraduate course in parallel and distributed, high-performance computing.
|
|
|
|
- Parallel and Distributed Computing
- Parallel and Distributed Systems
- Computer Architecture
|
Fall semester CSCI 4551
CSCI 5551/7551: Course Information
Spring Semester CSCI 5593
|
|
|
|
|
PhD Students:
Lan Vu:
- High Performance Methods For Frequent Pattern Mining (Graduated fall 2014, currently at VMWare)
David Gnabasik:
- Development
Of a Computational Model Using Cytokine Biomarkers For Identifying Lung
Disease Types(Graduated spring 2017, president Reliable Software
Designs, LLC)
- EVCE
- Enhancing Video Compression Efficiency: A Framework Combining Dual
Approach with Motion Estimation and Quad-tree Partitioning Block
Henok Ghrebrechristos:
- Patch-based
Optimization and Curriculum Learning: Improving Deep Learning
Efficiency and Model Security (Graduated 2024, Senior Data Scientist |
AI Solution Architect, Costco)
Manh Huynh:
- Online
Adaptive Learning For Pedestrian Future Trajectory Prediction In
Dynamic Scenes (Graduated 2023, Researcher at Nissan Motor Corporation,
CA)
Thoria Alghamdi:
- Facial
Expressions-Based Pain Assessment System Using Deep Learning Techniques
(Graduated 2023,Assistant Professor, King Abdul-Aziz University)
| 
Nao Takano: PhD student (Deep learning)
- DOD-MDA Project: Explainable AI, Deep Reinforcement Learning (DRL) Enabled Warfighter Assistant:
-
-
Austin Long, PhD student
-
Micheal McGrath, MS student
-
Henry-Phuoc Le, BA-CS student
-
Kyle Rohn, BS-CS student
|
|
|
|
Shawn McCarthy
|
|
|
|
- Fin-ALICE: Advancing Financial Forecasting through Causal Econometrics, Emotional Analysis, and Dynamic Co-Occurrence Networks
|
|
|
Trevor M Simonton
|
|
|
- Optimized Parallel Training Of Word Vectors On Multi-Core CPU And GPU (Graduated 2017, Software Developer, Google, Co)
|
|
|
