Alexander Katrompas

Post-Secondary Education

Kent State University
Master of Science
Computer Science

Texas State University
Doctor of Philosophy
Computer Science

Teaching Experience

Three years teaching in business colleges and technical/trade schools.
Two years teaching, Cuyahoga Community College, Cuyahoga, OH.
Two years teaching at Kent State University, Kent, OH.
One year teaching at Alabama University, Tuscaloosa, AL.
Seven years teaching at Austin Community College.

Professional Publications

Master’s Thesis: Sequential decision-making using a two stage hybrid connectionist model.
Principal Investigator U.S. Patent Application No.11/053,734 Method and Apparatus for Optimizing Operation of a Power Generating Plant Using AI Techniques.
Secondary Investigator U.S. Patent Application No. 10/689,276 Visual Programming System and Method.
Inventor, Path Prediction Software used in DOE Clean Coal Power Initiative, 2003.
Optimization and Process Control (multiple NSF grant proposals, 1999-2005).
A Preliminary Experimental Analysis on RateMyProfessors. Byron Gao and Alexander Katrompas. 2020 IEEE International Conference on Big Data (Big Data).
Rate My Professors: A Study Of Bias and Inaccuracies In Anonymous Self-Reporting. Alexander Katrompas and Vangelis Metsis. International Conference on Computing and Data Science 2021.
Enhancing LSTM Models with Self-Attention and Stateful Training. Alexander Katrompas, Vangelis Metsis, Intelligent Systems Conference (IntelliSys) 2021.
Recurrence and Self-Attention vs the Transformer for Time-Series Classification: A Comparative Study. Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis. 2022 International Conference on Artificial Intelligence in Medicine, published in by Springer Nature, 2022.
Temporal Attention for Improved Time Series Classification and Interpretability. Alexander Katrompas, Vangelis Metsis. International Conference on Artificial Neural Networks 2023, published in by Springer Nature, 2023.
Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series. Alexander Katrompas, Vangelis Metsis. PETRA 2024.
Recurrence And Temporal Attention Synergy For Optimal Time-Series Modelling And Interpretability. PhD Dissertation, Texas State University. Alexander Katrompas, Vangelis Metsis. October 2023.

Published: August 22, 2025

Alexander Katrompas

Post-Secondary Education

Teaching Experience

Three years teaching in business colleges and technical/trade schools.

Two years teaching, Cuyahoga Community College, Cuyahoga, OH.

Two years teaching at Kent State University, Kent, OH.

One year teaching at Alabama University, Tuscaloosa, AL.

Seven years teaching at Austin Community College.

Professional Publications

Master’s Thesis: Sequential decision-making using a two stage hybrid connectionist model.

Principal Investigator U.S. Patent Application No.11/053,734 Method and Apparatus for Optimizing Operation of a Power Generating Plant Using AI Techniques.

Secondary Investigator U.S. Patent Application No. 10/689,276 Visual Programming System and Method.

Inventor, Path Prediction Software used in DOE Clean Coal Power Initiative, 2003.

Optimization and Process Control (multiple NSF grant proposals, 1999-2005).

A Preliminary Experimental Analysis on RateMyProfessors. Byron Gao and Alexander Katrompas. 2020 IEEE International Conference on Big Data (Big Data).

Rate My Professors: A Study Of Bias and Inaccuracies In Anonymous Self-Reporting. Alexander Katrompas and Vangelis Metsis. International Conference on Computing and Data Science 2021.

Enhancing LSTM Models with Self-Attention and Stateful Training. Alexander Katrompas, Vangelis Metsis, Intelligent Systems Conference (IntelliSys) 2021.

Recurrence and Self-Attention vs the Transformer for Time-Series Classification: A Comparative Study. Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis. 2022 International Conference on Artificial Intelligence in Medicine, published in by Springer Nature, 2022.

Temporal Attention for Improved Time Series Classification and Interpretability. Alexander Katrompas, Vangelis Metsis. International Conference on Artificial Neural Networks 2023, published in by Springer Nature, 2023.

Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series. Alexander Katrompas, Vangelis Metsis. PETRA 2024.

Recurrence And Temporal Attention Synergy For Optimal Time-Series Modelling And Interpretability. PhD Dissertation, Texas State University. Alexander Katrompas, Vangelis Metsis. October 2023.