Konstantinos Veropoulos

Post Doctoral Research Associate
Division of Atmospheric Sciences

Email: Konstantinos.Veropoulos@dri.edu

 

Full Resume

Kostos Veropoulos
EDUCATION:
Ph.D.
M.Sc.
B.Sc.
Machine Learning in Medical Decision Making
Parallel Computer Systems
Computer Science

University of Bristol, UK
University of the West of England, UK
Southeastern The American University of Athens, GR

PROFESSIONAL INTERESTS:

My current research and computing interests include Interactive Computer Graphics, Image Processing and Image Recognition with a special interest in Face Recognition and Biometrics. I have a long-standing interest in Pattern Recognition using Artificial Neural Networks and other classification methods, such as Support Vector Machines, Decision Trees, Query Learning and Fuzzy Logic used in the area of Medical Imaging and Applications, Computer Vision, Biometrics, Feature Selection, Feature Extraction, Time Series Prediction, Database Systems and Automated Systems.

RESEARCH AREAS:

  • Artificial Neural Networks, Parallel Computing, Medical Applications, Medical Imaging, Signal Analysis, Time Series Prediction, Kernel Methods, Support Vector Machines, Face Recognition, Biometrics.

SELECTED PUBLICATIONS:

Veropoulos, K., G. Bebis, and M. Webster, 2005:
Investigating the Impact of Face Categorization on Recognition Performance. Lecture Notes in Computer Science, 3804, 207-218.

Veropoulos, K., 2001:
Machine Learning Approaches to Medical Decision Making. Ph.D. Thesis, Faculty of Engineering, Dept. of Engineering Mathematics, University of Bristol, UK.

Veropoulos, K., G. Learmonth, C. Campbell, B. Knight, and J. Simpson, 1999:
The Automated Identification of Tubercle Bacilli in Sputum: A Preliminary Investigation. Analytical and Quantitative Cytology and Histology (AQCH), 21(4), 277-281.

Veropoulos, K., C. Campbell, and N. Cristianini, 1999:
Controlling the Sensitivity of Support Vector Machines. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Workshop ML3, 55-60.

Veropoulos, K., N. Cristianini, and C. Campbell, 1999:
The Application of Support Vector Machines to Medical Decision Support: A Case Study. Proceedings of the ECCAI Advanced Course in Artificial Intelligence (ACAI), Workshop W10, 17-21.

Veropoulos, K., C. Campbell, and G. Learmonth, 1998:
Image Processing and Neural Computing used in the Diagnosis of Tuberculosis. Intelligent Methods in Healthcare and Medical Applications , Digest No: 98/514 in Control Division, 8/1-8/4.

Veropoulos, K., C. Campbell, G. Learmonth, B. Knight, and J. Simpson, 1998:
The Automated Identification of Tubercle Bacilli Using Image Processing and Neural Computing Techniques. Perspectives in Neural Computing: Proceedings of the International Conference on Artificial Neural Networks (ICANN), 2, 797-802.

Veropoulos, K., G. Learmonth, C. Campbell, B.K. Knight, and J. Simpson, 1998:
Semi-automated diagnosis of tuberculosis infection in sputum. Acta Cytologica 42, 512.

Veropoulos, K., 1995:
The Probabilistic Neural Network. M.Sc. Thesis, Faculty of Computer Studies and Mathematics, Intelligent Computer Systems Centre, University of the West of England, Bristol, UK.


Division of Atmospheric Sciences
Desert Research Institute
2215 Raggio Parkway
Reno, NV 89512-1095
Tel: 775-674-7155
Email:  Konstantinos.Veropoulos@dri.edu