GRADUATE RESEARCH TEAM
I am a Computer Science graduate student at the University of New Haven. I have been working as a research member in the lab since Fall 2019. I have worked and completed my first project "AI-News-By-AI: An automated podcast generation system". Currently, I am working on my research on Fake News Detection using deep neural networks with Dr. Vahid. My core interests are Machine Learning and Natural Language Processing.
GitHub
Cytisus Eurydice currently works as a lead cybersecurity incident response analyst in the healthcare field. In that role, they also work to both educate and test the workforce through use of social engineering tactics and techniques. In parallel, they are pursuing a second Masters of Science in Computer Science with a focus on Machine Learning and Artificial Intelligence; their first masters being in National Security with a concentration in Information Protection and Security. Cytisus is a certified incident responder and hunter, as well as a Social Engineering Pentest Professional (SEPP). At the end of 2020 Cytisus will graduate and have completed a thesis project focused on creating a smart darknet spider for Cyber Threat Intelligence. They're also pursing interesting research regarding social engineering, social structures in online communities, the darknet, cyber terrorism and cyber warfare, as well as applications of cyber threat intelligence.
Data Science Graduate student at the University of New Haven. Mostly drawn towards Natural Language Processing and Machine Learning. My research interest lies in the application of machine learning and artificial intelligence to cyber security. Previously, I worked at Wipro Technologies as a Security Analyst. My work included Vulnerability Management, Targeted Threat Intelligence and Automation in Python. I did my undergrad in Computer Science and Engineering.
GitHub
I am Graduate Computer Science Student at University of New Haven. I enjoy learning and solving puzzles. I pursue Computer Science for solving puzzles of Human Problems.
I believe Artificial Intelligence(AI) is able to address most daunting and challenging problems in 21st Century. I feel these problems should be addressed with safety keep in mind. I feel very happy to be part of SAIL where safety and security of intelligent machine is utmost concerned while pushing boundaries of human knowledge.
At SAIL, I am currently working in the field of Reinforcement Learning - AI domain of sequential decision making.
I am a Graduate Research Assistant/Student of Data science at University of New Haven. My research interests are on adversarial machine learning , Artificial intelligence , Reinforcement learning , Social engineering. I am currently working on Adversarial ML for LPR(License Plate Recognition) and gearing up for ML on detection of phone-based social engineering attempts . My future projects would be based on what if the AI considers reward of a certain action more than reward of important aspects like life , and other crucial decisions for mankind. I have worked as a software engineer and SME(Subject matter expert ) of Customer Communication Platform (CCP) for TCS and CGI with a DevOps role associated to it. I have a work experience of 3 yrs mainly on HP Exstream(Which is now OpenText Exstream) and Websphere Applications (WAS a product of IBM). I have done certifications on C9510-401 IBM WebSphere Application Server Network Deployment V8.5.5 and Liberty Profile System Administration , ITIL® Foundation Certificate in IT Service Management.
GitHub
I'm in the graduate program for Data Science at UNH. I have a BS in Mathematics from Sacred Heart University.
I like theories and data modeling from a pure mathematics perspective but also like to use statistical methods for the applicability of such theories in real, finite problem modeling. I enjoy tea during my breaks and checking in with good friends.
I am a student at the University of New Haven pursuing my MS in Computer Science. I have achieved a bachelor's degree in Electrical Engineering. I have worked on several different projects involving fuel cell technology, Drones, and IoT Automation. My core interest is in hardware and software, specifically drone technology. Looking forward to putting my efforts into leading-edge technology and innovative ideas that can be beneficial in solving the existing problems and pave a path for a better future of humankind.
UNDERGRADUATE RESEARCH TEAM
Samuel Zurowski is a Computer Science undergraduate student with a concentration in cybersecurity. Over the past years Sam has led the hacking team as the president and qualified nationally in various cybersecurity competitions. Sam's research interests lie within various areas in offensive security. Now, Sam is working on research that is using Machine Learning to improve automated penetration testing. His goal is to improve the current state of automation in penetration testing so corporations can have a better scope of their attack vectors to save time and money.
Andrew Mahr is a Cyber Security & Networks undergraduate student on track for the CyOPS path. Over the past year, Andrew has worked and is working as a Research Assistant on the Artifact Genome Project and was recently named Team Lead. Andrew’s research interests lie within various forms of offensive security and digital forensics of mobile devices and applications. Andrew recently submitted a paper for publishing with two classmates on the Zoom Video Communications Application and is currently working on research involving Android Auto and Apple CarPlay
Connor is an Undergraduate senior studying Cybersecurity and Networks with a strong focus in programming. As an intern, he worked using cutting edge tools to automate regression testing for a web application. After developing a love for automation, Connor is thrilled to be researching and working on an automated penetration testing tool. Outside of his work, Connor enjoys playing the guitar and watching sports
Jordan Zimmitti is an undergraduate student majoring in Computer Science. He is the president of the universities Computer Science NHS: Upsilon Pi Epsilon, and is an active member of the programming team. While his strengths are geared towards mobile and web-development he is participating in a research capstone project focused on AI and pen-testing with the goal of expanding his knowledge of computer security