Gita Alaghband, Professor & Chair
CSIS PhD Director
Department of Computer Science and Engineering
Campus Box 109,
1380 Lawrence Street,
P.O. Box 173364
University of Colorado Denver
Denver, Colorado 80217-3364
Phone: 303-315-1409   Fax: 303-315-1410
Email: Gita.Alaghband AT ucdenver.edu

CSIS PhD Program Information

PhD Preliminary Exam Information

Comprehensive Exam

Proposal Defense Information


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:
  • Parallel Computation & Algorithms, Dissertation on Parallel Data Mining (Graduated fall 2014, currently at VMWare)
  • Computational Biology, Dissertation on Discrete Time Evolution of Proteomic Biomarkers (Graduated spring 2017)
  • Parallel and Distributed Computing, Combinatorial Optimization Algorithms
  • Deep Learning: Insight from the Box: Understanding and Characterizing Feature Maps to Improve Performance by Controlled Convolution
  • Computer Vision: Real-time High-performance Human Tracking
  • Neural Network
  • Deep Learning

Sample Research Projects

Long Vitae (PDF)