diochnos/research/students
Current Students
Current PhD Students (reverse chronological order; ties alphabetical)
- Pantia-Marina Alchirch (Aug 2022 – now): PhD student in Computer Science. Marina was also an undergraduate student of mine. Please read below under Past Undergraduate Students to learn more about her work in the past.
- William Keely (Aug 2021 – now): PhD student in Data Science and Analytics working in the GeoCarb project under Dr Sean Crowell. Also, research affiliate with the NASA Jet Propulsion Laboratory.
- Jay Rothenberger (Aug 2021 – now): PhD student in Computer Science working as a research assistant in the AI2ES project that I am working on.
Current Master's Students (reverse chronological order; ties alphabetical)
- Luis Vazquez (Aug 2024 – now): Graduate student in Computer Science. Luis is working on hierarchical shrinkage of decision trees for his Master's thesis.
Current Undergraduate Students (reverse chronological order; ties alphabetical)
- Teddy Diallo (Oct 2024 – now): Undergraduate research assistant in a seed-funded project that I am working on. Teddy is working on computer vision algorithms with an eye towards applications for treefall detection. Teddy is co-supervised by me and Dr. Kyprioti.
- Erencem Özbey (Sep 2024 – now): Undergraduate student working on clustering methods in an open-world setting. Erencem was a visiting student at OU during the fall of 2024.
- Luke Terry (Aug 2024 – now): Undergraduate research assistant in the AI2ES project that I am working on. Luke is working on semi-supervised learning methods with applications to winter-weather data.
Collaborating PhD Students
- Patrick Kage: PhD student at the University of Edinburgh. Advised by Dr. Pavlos Andreadis. With Patrick and Pavlos and Jay we are working together on problems related to pseudo-labeling with applications in computer vision.
- Steven Lin: PhD student in Mathematics at the University of Oklahoma. Advised by Dr. Roi Docampo. Steven is also interested in computational learning theory. We are currently working on a problem on label noise together with Ting-Hung Yu.
- Ting-Hung Yu: PhD student in Statistics at the University of Iowa. Ting-Hung is also interested in computational learning theory. We are currently working on a problem on label noise together with Steven Lin.
Past Students
Past PhD Students (reverse chronological order; ties alphabetical)
- Naeem Shahabi Sani (Aug 2021 – Aug 2024): PhD student in Computer Science. Currently working under a different advisor.
Past Undergraduate Students (reverse chronological order; ties alphabetical)
- Tiffany Le (Aug 2023 – May 2024): Undergraduate research assistant in the AI2ES project that I am working on. Tiffany worked on semi-supervised learning (co-training methods) with applications to winter-weather data. First job on the market as a software engineer in the Air Force.
- Erin Sullivan (Jan 2023 – May 2023): Honor's thesis in trustworthy issues of machine learning models. The title of the thesis was The Need for Ethical Algorithms: Exploring Algorithmic Fairness in Society. First job on the market at Bank of America.
- Tyson Harris (Aug 2022 – Dec 2023): Honor's thesis in trustworthy issues of machine learning models. The title of the thesis was Exploration of Bias in Machine Learning Models Using 1994 MEPS Data. First job on the market at Boeing.
- Alberto Liu (Aug 2022 – May 2023): Undergraduate research assistant in the AI2ES project that I am working on. Alberto worked on semi-supervised learning with applications to winter-weather data.
- Vincent Ferrera (May 2022 – Jul 2022): Undergraduate research assistant who participated in the REU of the AI2ES project that I am working on. He is currently (academic year 2022 – 2023) a senior at the University of Delaware majoring in Meteorology and Climate Sciences. Vincent presented his REU work on semi-supervised learning, in the 2nd annual NYS Mesonet Symposium that took place at the University of Albany in September of 2022.
- Jose E. Aguilar Escamilla (Jun 2021 – May 2022): Jose graduated from OU with an accelerated Bachelor's/Master's degree in 2023 from OU. Meanwhile, we wrote a short paper together that appeared in LOD 2023 based on work that Jose did when he was an undergraduate McNair scholar in Computer Science. He is currently pursuing a PhD at Oregon State University.
- Caleb Lagge (Oct 2021 – May 2022): Undergraduate student in Computer Engineering and Mathematics; research assistant and honors thesis as part of a DISC seed-fund on predictive modeling for blocking events using clustering methods. Currently (academic year 2022 – 2023) pursuing a Master's degree at Duke.
- Pantia-Marina Alchirch (Jan 2021 – Sep 2021): Undergraduate student in Computer Science (Athens University of Economics and Business, Hellas) advised by Dr. Katia Papakonstantinopoulou. I collaborated closely with her regarding her undergraduate thesis in evolvability and we had a paper at EuroGP 2022. Marina did her Master's degree in Computer Science at the Athens University of Economics and Business during 2021 – 2022. She is currently pursuing a PhD with me.
- Conner Flansburg (Apr 2020 – Aug 2021): Undergraduate research assistant in AI2ES. Also participated in the REU of 2021 within AI2ES and we had a paper together at AAAI 2022 (student abstract stream). First job on the market at the Pacific Northwest National Laboratory.
A Remark for Prospective Students
Due to a large volume of emails that I receive I am not able to respond to all the emails by prospective students. However, if you do want to come to the University of Oklahoma and work as a graduate student in the School of Computer Science, first and foremost you need to apply to become a student here!
