SEAS Seniors Showcase Their Expertise

A pair of computer science students who proposed a new way to protect personal devices from cyber threats won first place in the DeMatteis School of Engineering and Applied Science’s Annual Senior Project Showcase.
George Roussis and Kendra Campbell’s project “Honeypot Based Group Monitoring and Protection” would enable networks of any size to protect themselves from threats by deploying a number of passive honeypots, a malware detecting software, as probes inside the network. Once an attack is discovered, a honeypot reports the network identity and malicious attack signatures to a central server so that all other network users can access the blacklist of attackers and protect their personal devices.
“Many people don’t run antivirus or security software on their personal devices. These connected devices have the potential to adversely affect entire networks,” Roussis explained.   “By adding another layer of security, system networks would have the ability to better defend themselves requiring no additional antivirus software downloads.”
The Senior Project Showcase is an opportunity for computer science and engineering students to present their senior projects to a panel of local industry related professionals.   Thirty two students presented at this year’s competition.  Projects were scored on a scale of 1 to 5 based on their technological or scientific significance, the methodology for solving the specified problem, the ingenuity and originality of the proposed solution, whether their poster displayed the work accomplished clearly and the student’s ability to explain their ideas.
Sina Rabbany, dean of the Fred DeMatteis School of Engineering and Applied Science, congratulated the students on their work.  “The wide array of projects showcase the breadth of technical creativity on display by our students.”
Second place was awarded to computer science major, Marvin Dizon for “EyeDetect”, an interactive tool designed to support video surveillance technology by analyzing video footage and identifying human shapes.  Practical applications for EyeDetect include preventing fire hazards by monitoring the number of people in a particular area or helping retailers to accurately predict the foot traffic of shoppers at different times of day.
Dizon said that working on his senior project helped him develop soft skills that he hopes will benefit him in his career.  “I definitely gained a lot of experience in terms of working collaboratively with someone.  I’m also excited for what the future holds for Computer Vision and Virtual Reality.”
Other engineering and computer science projects showcased at this year’s event ranged from an alternate design for ebb and flow hydroponic plant systems to a cost-effective approach for lowering the number of Metropolitan Transportation Authority (MTA) train and subway fatalities.

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