Students
The Cyber Security Education Club (CSEC) is a student-run organization at the University of Massachusetts Dartmouth. Members and leaders of the club are currently pursuing studies in computer engineering or electrical engineering.
Student Fellowships
Summer 2024
- Nicholas Costagliola, CIS MS, Gökhan Kul, Empirical Evaluation of GAN-based Oversampling to Improve Data Imbalance for OSR-Based IDS.
- Goktug Ekinci, EAS-CSIS PhD, Gökhan Kul, Mitigating Model Poisoning Attacks on OSR-Based NIDS.
- Ayush Tiwari, CIS MS, Long Jiao, In-Context Learning for Policy-Aware Language Models.
- Pranshu Acharya, CIS MS, Long Jiao, In-Context Learning for Policy-Aware Language Models.
Spring 2024
- Karen da Mata, CPE PhD, Lance Fiondella, A Multi-Objective Reinforcement Learning Model for Optimizing Nonstationary Policies within DevSecOps Practices.
- Noah Oikarinen, CPE MS, Lance Fiondella, Bayesian Reward Learning Terrain Preference Modeling under Adversarial Attacks.
- Neela Rahimi, CIS PhD, Ming Shao, Advancing Cybersecurity with Multimodal Continual Learning.
Summer 2023
- Neela Rahimi, CIS PhD, Ming Shao, Advancing Cybersecurity with Multimodal Continual Learning.
- Cedric Leonardo, CPE, MS, Hong Liu, Comparative Experiments on Security in Bridge Health Monitoring (BHM): Wireless Sensor Network (WSN) and Wireless Sensing with Drone (WSD).
- Christian Taylor, CPE BS, Lance Fiondella, An Agent-Based Model to assist nonviolent actions.
- Christopher Detremont, ECE, MS, Hong Liu, Comparative Experiments on Security in Bridge Health Monitoring (BHM): Wireless Sensor Network (WSN) and Wireless Sensing with Drone (WSD).
- Karen da Mata, CPE MS, Lance Fiondella, Predictive Resilience of a Machine Learning Algorithm under Cyber Attacks.
Spring 2023
- Chencheng Zhou, CPE PhD, Liudong Xing, Dependability and Resilience for Blockchain-Based Systems.
Fall 2022
- David Cedrone, CIS BS, Gökhan Kul, Label Generation for Intrusion Activity on Networks.
- Pahalavan Dheivanayahi, CIS MS, Gökhan Kul, Output and hidden-layer naming in supervised-learning based-on input data labels.
- Mengjie Jia, CIS MS, Jiawei Yuan, Enhancing Anomaly Detection and Recovery in UAV Systems.
- Chencheng Zhou, CPE PhD, Liudong Xing, Defense Strategies for Selfish Mining Attack on Bitcoin System.
Summer 2022
- Bryce Afonso, CPE BS, Hong Liu, Efficient and Secure Data Collection with Wireless Sensor Networks (WSN) for Structural Health Monitoring (SHM) of Transportation Infrastructure.
- Riley McMorrow, ELE BS, Lance Fiondella, Secure Robotics Engineering.
- Demi Muyuela, CPS BS, Shakhnoza Kayumova, Exploring Artificial Intelligence and Cybersecurity
in K-12 STEM Education.
Summer 2022
- Baye Gaspard, CIS PhD, Gökhan Kul, Building Outsourced Database Security.
Spring 2022
- Sushovan Bhadra, ECE MS, Lance Fiondella, Dependability Modeling of Modern Software Practices
- Chencheng Zhou, ECE PhD, Liudong Xing, Dependability and Resilience for Blockchain-Based Systems.
Fall 2021
- Rui Goncalves, CIS BS, Gökhan Kul, Implementing a Concept Drift based Anomaly Detector.
- Neela Rahimi, CIS PhD, Ming Shao, A Unified Framework towards Open Set Incremental Fewer Shot Learning.
- Julia Sorrentino, ECE MS, Lance Fiondella, Quantitative Resilience Modeling to Support the Test and Evaluation of Cyber Security.
- Valerii Zhurylo, CIS BS, Gökhan Kul, Maturity Model Evaluation Tool for Computer Security Event Logs.
Summer 2021
- Chidera Biringa, CIS PhD, Gökhan Kul, Source Code Analysis: A Comparative Study of Feature Creation Methods for Cybersecurity Applications.
- Charles Montes, ECE PhD, Ruolin Zhou, Implementation of Incremental Learning in Python-Keras as General Model Structure.
- Todd Morehouse, ECE PhD, Ruolin Zhou, An Adaptive Incremental Learning based Deep Learning Demodulator for Wireless Communications.
- Ashok Raja, CIS PhD, Jiawei Yuan, Securing UAV Autonomous Operations against Perception Attacks.
Spring 2020
- Tabitha Breault, MNE BS, Banafsheh Seyed-Aghazadeh and Gokhan Kul, Cyber Resilient Harbor Seal Vibrissae Model with Advanced Threat Detection Technology that responds to Hydrodynamic Stimuli.
- Brendan Thibault, ECE BS, Lance Fiondella, Quantitative Analysis of the Robustness of Machine Learning Models against Different Attack Types and Modalities.
- Marcel Viera, ECE BS, Lance Fiondella, A Framework for Machine Learning Resilience Engineering.
Fall 2020
- Jacob Aubertine, ECE MS, Lance Fiondella, Stable and Efficient Numerical Methods for Covariate Software Reliability Models.
- Chidera Biringa, CIS MS, Gökhan Kul, An Assessment of Cybersecurity Vulnerability on Service Agreements Using Machine Learning.
- Gandharva Dhanekula, CIS BS, Gökhan Kul, Measuring Phishing Email Effectiveness in Emergency Situations.
- Zakaria Faddi, ECE BS, Lance Fiondella, A Quantitative Model of Incremental Deployment to Support Performance, Availability, and Security Tradeoff Assessment within DevSecOps Practices.
- Ashok Raja, CIS PhD, Jiawei Yuan, Rethinking the Security and Privacy Threats from Drones.
- Julia Sorrentino, ECE BS, Lance Fiondella, Quantitative Modeling and Statistical Assessment of DevSecOps Tool Chains.