About Tulane University

   Tulane University is a privately-owned research institution in New Orleans, Louisiana, formed in 1834. Tulane University is a part of the prestigious Association of American Universities and is distinguished among R1: Doctoral Universities, which indicates very high research activity by the Carnegie Foundation for the Advancement of Teaching.
  Tulane University comprises ten schools that deliver education in liberal arts, sciences, and many specialized areas. Tulane University furnishes preeminent programs of graduate and professional education and scholarly research. Tulane University focuses on providing high-quality learning and the generation of novel knowledge with excellent teaching and research.
  Tulane University combines the spectrum of learning and research to impart scientific, cultural and social understanding to students. In order to enrich the capacity of scholars, organizations, and communities, Tulane University proffers interdisciplinary academic facilities, translational research, and an inclusive environment.

Address & Website of Tulane University

Address:  6823 St Charles Ave, New Orleans, LA 70118, United States

Phone:  +1 504-865-5000

Email:  grad.admission@tulane.edu

Website:  https://tulane.edu/

University Type:  Private research university

Computer Science Courses Offered by Tulane University

  
Undergraduate-

Computer Science Research Areas - Tulane University

Computer science research at Tulane University discovers new solutions for technological improvement by focusing on various research areas including:

  •  Artificial Intelligence and Data Science
  •  Computational Biology and Bioinformatics
  •  Computational Geometry; Shape Matching; or Trajectory Analysis
  •  Machine Learning
  •  Mathematical and Logical Foundations
  •  Networking; Cloud Computing and Cybersecurity
  •  Scientific Visualization and Computer Graphics

Research Topics in Computer Science Research - Tulane University

Computational Biology and Bioinformatics - Research in computational biology and bioinformatics at Tulane University focuses on the following topics;

   •  Protein Structure Prediction
   •  Protein-Protein Interactions
   •  Compound Screening
   •  Computational Immunology

Machine Learning – Scholars and researchers under machine learning are working on the theory, algorithms, and applications of machine learning, and its recent research topics include;

   •  Deep Learning
   •  Adversarial Machine Learning
   •  Non-Convex Optimization
   •  Natural Language Processing
   •  Domain Adaptation
   •  Semi-Supervised Learning
   •  Causal Inference
   •  Deep Generative Learning
   •  Transfer Learning
   •  Multi-View Learning
   •  Few-Shot Learning
   •  Zero-Shot Learning
   •  Reinforcement Learning
   •  Multi-Agent Learning
   •  Federated Learning
   •  Trustworthy Learning
   •  Learning in Games
   •  Distributed Optimization

Networking, Cloud Computing, and Cybersecurity – Research under networking, cloud computing, and cybersecurity at Tulane University concentrates on

   •  Optimization and Mechanism Design for Networked Systems
   •  Active/Cognitive Defense Against Advanced Cyber Threats using Game Theory and Reinforcement Learning

Scientific Visualization and Computer Graphics – Recent research focus at Tulane University in the area of scientific visualization and computer graphics are

   •  Data Visualization
   •  Computer Graphics
   •  Image Processing

Computer Science Research Labs with Specialization - Tulane University

 Tulane University facilitates better advancement in computer science research by utilizing its computer science-oriented research groups and labs, namely;

   •  Center for Bioinformatics and Genomics
   •  Center for Computational Science (CCS)
   •  Center for Polymer Reaction Monitoring and Characterization (PolyRMC)
   •  Tulane Brain Institute
   •  Tulane Institute for Integrative Engineering for Health and Medicine (TI2EHM)
   •  Tulane University Biodiversity Research Institute (TUBRI)

Scholarship Programs and Funded Projects for Computer Science - Tulane University

  Tulane University offers various endowed and scholarship funds as financial aid to the students. Some of the programs are;

   •  Andy Alward Memorial Scholarship Fund
   •  Elsa Freiman Angrist Scholarship Endowed Fund
   •  Emmett Franklin Bankston Scholarship Fund
   •  Robert J. Drueding and Hermine G. Drueding Memorial Scholarship Fund
   •  Arthur M. Greshemer Scholarship Endowed Fund
   •  IBM Corporation Fellowship Fund
   •  Patricia Cain Kesser Scholarship Fund
   •  The John K. and Dixie T. Mayer Fellowship Fund
   •  Tulane Department of Social Work
   •  Nicholas M. Parker Endowed Scholarship Fund
   •  Hans B. Schubert Memorial Scholarship
   •  Leon E. and Herbert J. Schwartz Fund
   •  Jared Siegel Memorial Scholarship Fund
   •  The Mark and Diana Tipton Endowed Scholarship Fund
   •  David Andrew Tretter Memorial Scholarship in Science and Engineering
   •  Leo S. Weil Scholarship Fund
   •  Timothy C. White Memorial Scholarship Fund
   •  W.E.B. Scholarship Endowed Fund

PhD Admission Procedure for Computer Science -Tulane University

  To pursue the Ph.D. program in computer science at Tulane University, applicants must hold a B.S. or M.S. degree in computer science or a closely related area and then apply online.Other applications supplements need to submit are;

   •  Online Application Form
   •  Resume
   •  Three Statement of Purpose
   •  Two Letters of Recommendation from faculty members that describes the applicant-s research and teaching potential
   •  Transcripts of B.S or M.S degree from an authorized university or college
   •  GMAT Score or GRE Score Report
   •  TOEFL/IELTS/PTE Score Report as proof of English language proficiency evaluation

PhD Regulations:

List of PhD Supervisors:

PhD Admission Notification:

Research Announcements:

Research Notifications: