My Students
I am so proud of them!
I am so proud of them!
National/Regional Conference for Undergraduate Research (NCUR):
· CCSCNE 2025, Retinal OCT Image Classification Leveraging AI with Pytorch, Caleb Mesiti
· CCSCNE 2025, EduAlly Integrated AI Education Assistant, Trinity Thiele, Jayden Asbie, Naya Brown, Ryan Fantigrossi, Tyler Jones, David Lonski, Caleb Mesiti
· NCUR 2023, Developing a Mice Detector Using Deep Learning Models, Alexander Stalica
· NCUR 2023, Developing Artificial Intelligence Models for Malicious Network Attack Detection, Emma Maynard
· NCUR 2023, Exploring the Approaches of Preventing Bias in Artificial Intelligence, Victor Brown
· NCUR 2022, Developing Anomaly-based Intrusion Detection Approaches Using Artificial Intelligence Models, Jeffrey Rudolph
· NCUR 2022, Exploring Bias Issues in Facial Recognition, Wynette Vickers
· NCUR 2022, A Machine Learning Approach to Classify Human Facial Features, Brian Warecki
· NCUR 2022, Exploring the Effectiveness of Adversarial Examples for Tweaking CAPTCHAs, Richard Sia
· NCUR 2021, Precipitation Prediction Using Multiple AI Approaches, Timothy Haskins
· NCUR 2021, An Inexpensive Search & Rescue UAV with Machine Learning Approaches, Dennis Pavlyuk
· NCUR 2021, Beating Google Captcha with Artificial intelligence, John Haag
· NCUR 2020, Facial Feature Classification Using Facial Detection and Clustering, Noah Headley
· NCUR 2019, Cracking Python’s Captcha Library: Using AI to Crack AI, Kyle Darling, https://apps.cur.org/ncur2019/search/Display_NCUR.aspx?id=111228
· NCUR 2018, Intrusion Detection Using Machine Learning, James Finn, https://apps.cur.org/ncur2018/search/display_ncur.aspx?id=104931
· NCUR 2018, Developing a Deep Learning Method For Redefining The CpG Islands, Samuel Cherwonik, https://apps.cur.org/ncur2018/search/display_ncur.aspx?id=105592
SUNY Undergraduate Research Conference (SURC):
· SURC 2018, Dynamic Authentication: Developing an Alternate to Passwords, Connor Peters, https://www.youtube.com/watch?v=maLxB0ax_ps
Brockport Scholars Day:
· Scholars Day 2025, A Low-Cost Approach for Fake Medical Image Synthesis, David Lonski
· Scholars Day 2025, EduAlly: Integrated AI Education Assistant, Trinity Thiele, Jayden Asbie, Naya Brown, Ryan Fantigrossi, Tyler Jones, David Lonski, Caleb Mesiti
· Scholars Day 2024, Facial Recognition Emotion Detection with AI, Kris Meehan
· Scholars Day 2024, Exploring the integration of AI technologies for enhanced text summarization, Ephrem Kassahun
· Scholars Day 2024, Image Narration using Machine Learning, Stacey Do
· Scholars Day 2024, Big Data Analytics with Large Language Models, Liam Davies
· Scholars Day 2023, Developing a Mice Detector Using Deep Learning Models, Alexander Stalica
· Scholars Day 2023, Developing Artificial Intelligence Models for Malicious Network Attack Detection, Emma Maynard
· Scholars Day 2022, A Machine Learning Approach to Classify Human Facial Features, Brian Warecki
· Scholars Day 2022, Deep Learning CAPTCHA Attack Defense, Richard Sia
· Scholars Day 2022, Developing Anomaly-based Intrusion Detection Approaches Using Artificial Intelligence Models, Jeffrey Rudolph
· Scholars Day 2021, Precipitation Prediction Using Multiple AI Approaches, Timothy Haskins
· Scholars Day 2021, An Inexpensive Search & Rescue UAV with Machine Learning Approaches, Dennis Pavlyuk
· Scholars Day 2020, AI-Powered GUI Attack and Its Defensive Methods, Zachary Tuttle
· Scholars Day 2020, A RC Scheme for Multi-Class Classification, Nolan Coble
· Scholars Day 2020, AMOSA-based Eye Clustering Algorithm, Noah Headley
· Scholars Day 2019, Drowsiness Detector Using Facial Recognition and Raspberry Pi Implementation, Zachary Tuttle
· Scholars Day 2019, Big Data Analytics Tools and Applications, Alex Knoepfler
· Scholars Day 2019, Hacking Python CAPTCHA Libraries Using Deep Learning, Kyle Darling
· Scholars Day 2019, AI-based 3D Game Simulators, Yuhang Liao
· Scholars Day 2018, Developing a Generic Tool for Big Data Analytics, Alex Knoepfler
· Scholars Day 2018, Dynamic Authentication: Developing an Alternate to Passwords, Connor Peters
· Scholars Day 2018, Active Intrusion Detection Using a Neural Network, James Finn
· Scholars Day 2018, Developing a Deep Learning Method For Redefining The CpG Islands, Samuel Cherwonik
Undergraduate Honor Thesis:
· Storytelling with Natural Language Processing, Stacey Do, Spring 2023
· Usage of Adversarial Examples as a Defensive Mechanism in Cybersecurity, Carl Jake Thurnau, Fall 2019
· AI-based 3D Game Simulator, Yuhang Liao, Spring 2019
Master Thesis:
· Detection of LncRNA Differential Expression in Adipose Tissue from RNA-Seq Data Using the Tuxedo Suite and Deep Learning, Peter Giangrasso, Spring 2021
Independent Studies:
· Yubraj Khatri, “AI Education Pilot”, Spring 2025
· AIi Beheshti Shirazi, “AI for Network Security”, Spring 2025
· Caleb Mesiti, “AI Recognition Mode”, Spring 2025, Fall 2024
· David Lonski, “Generative AI”, Spring 2025, Fall 2024
· Laura Fonseca-Llorca, “AI LLM Development”, Spring 2025, Fall 2024, Spring 2024, Fall 2023
· Ryan Fantigrossi, “AI for Data Development”, Spring 2025
· Liam Davies, “AI Cybersecurity Detection”, Fall 2024, Spring 2024, Fall 2023
· Nathan Shapiro, “AI for Bio-medical Research”, Fall 2024
· Emma Maynard, “Developing Artificial Intelligence Models for Malicious Network Attack Detection”, Spring 2023
· Victor Brown, “AI Bias Detection”, Spring 2022, Fall 2022, Spring 2023
· Jeffrey Rudolph, " Big Data Analysis for Network Security", Spring 2022
· Richard Sia, "Deep Learning based Security", Spring 2022
· Brian Warecki, "AI Methods”, Spring 2022
· Wynette Vickers, "AI Issues”, Fall 2022
· Timothy Haskins, “Methods for Big Data Analytics”, SUNY Brockport, Spring 2021
· Dennis Pavlyuk, “AI UAV Design”, SUNY Brockport, Spring 2021
· Alex Knoepfler, “Big data analytics”, SUNY Brockport, Spring 2018, Fall 2018
· Connor Peters, “Dynamic Authentication”, SUNY Brockport, Spring 2018
· Xavier Andrade, “The Relation between Air Pollution, Environmental Factors and Respiratory Diseases”, USC Upstate, Spring 2017
· Mingwen Zheng, “IBM Watson Tools for Big Data”, USC Upstate, Fall 2016, Spring 2017
Supervised Students
· Liam Davies, 2023-2025 (Research Award)
· Laura Fonseca-Llorca, 2023-2025 (Research Award)
· Nathan Shapiro, 2024-2025 (Research Award)
· Ryan Fantigrossi, 2024-2025 (Research Award)
· David Lonski, 2024-2025 (Research Award)
· Caleb Mesiti, 2024-2025 (Research Award)
· Alex Stalica, 2023-2024 (Research Award)
· Stacey Do, 2023-2024 (Research Award, Honor Student)
· Kris Meehan, 2023-2024 (Research Award)
· Ephrem Kassahun, 2023-2024 (Research Award)
· Michael Nguyen, 2023-2024 (Research Award)
· Emma Maynard, 2022-2023 (Research Certificate)
· Alexander Stalica, 2022-2023 (Research Award, Vishal Anand Scholarship Award)
· Jeffrey Rudolph, 2021-2022 (Research Award)
· Richard Sia, 2021-2022 (Research Award)
· Brian Warecki, 2021-2022 (Research Award)
· Victor Brown, 2021-2023 (Research Certificate)
· Wynette Vickers, 2021-2022 (Research Award)
· Timothy Haskins, 2020-2021 (Research Award, Journal Paper Co-author)
· Dennis Pavlyuk, 2020-2021(Research Award)
· John Haag, 2020-2021 (Research Award)
· Carl Jake Thurnau, 2019-2020 (Research Award, Honor Student)
· Nolan Coble, 2019-2020 (Chancellor’s Award for Student Excellence, Honors College Scholar Awards, Conference Paper Co-author)
· Noah Headley, 2019-2020 (Research Award)
· Emmanuel Mireku, 2019-2020 (Research Award)
· Zack Tuttle, 2018-2019 (Research Award, Vishal Anand Scholarship Award)
· Yuhang Liao, 2018-2019 (Research Award, Honor Student)
· Kyle Darling, 2018-2019 (Research Award)
· John Prothero, Spring 2018
· Samuel Cherwonik, Spring 2018 (Research Award)
· James Finn, Spring 2018 (Research Award, Vishal Anand Scholarship Award)
· Connor Peters, 2018-2019
· Alex Knoepfler, 2018-2019
· Xavier Andrade, 2017
· Mingwen Zheng, 2016-2017