My Students

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