The research is a sequence of learning, accumulating, connecting, generalizing, disseminating, and respecting the achievements of others.
Profile for
Nikolay Sirakov, Ph.D.
Professor
- Faculty
Contact Nikolay
Office
Education North 104B
Related Department
Department of Mathematics
Educational Background
- Ph.D., Computer Science and Mechanics, Bulgarian Academy of Sciences
- M.S., Coding Theory, Sofia University
- B.S., Mathematics and Computer Science, Sofia University
Academic Positions
- Professor, Texas A&M University-Commerce (now East Texas A&M University)
- Associate Professor, Texas A&M University-Commerce (now East Texas A&M University)
- Assistant Professor, Texas A&M University-Commerce (now East Texas A&M University)
- Associate Professor, Institute of Mechanics and Biomechanics
- Invited Professor, Instituto Superior Tecnico
- Invited Associate Professor, Transport University
- Invited Assistant Professor, Technical University Sofia, Invited Assistant Professor
Featured Courses
- MATH/CSCI 317 Numerical Analysis
- Math 567 Image Processing with Elements of Learning
- Math 569 Image Analysis, Recognition and Learning
Professional Organizations
- Associate Editor – Journal, Pattern Analysis and Application – Springer Nature, IF 2.0 SCR 2024;
- AI Topical Advisor Panel – Electronics Journal, MDPI, IF 2.6 SCR Extended 2024.
Research Funding
- $10,000, 2024–2025, PI of a subcontract to the NIH project 1 R01 HD105205-01A1, Vital Signs in Opioid-Exposed Neonates (ViSION), PI: Dr. Namasivayam Ambalavanan, University of Alabama at Birmingham.
- 2024, Senior Personnel of the NSF-REU project TADM, PI: Dr. Padmapani Seniveratne, Department of Mathematics, East Texas A&M University.
- $14,533, Research Enhancement Program,
Research Projects
- Founder and Developer of the Image Database Repository, VFImageRepo, containing image databases with augmented image features: https://www.tamuc.edu/projects/augmented-image-repository/
Related News

Machine Learning and Image Processing
Machine learning and image processing are closely related fields that focus on enabling computers to interpret, analyze, and make decisions based on visual data.