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Saturday, December 21, 2024

Graduate computer science students present innovative research at Katz School showcase

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Rabbi Dr. Ari Berman, President and Rosh Yeshiva | Yeshiva University

Rabbi Dr. Ari Berman, President and Rosh Yeshiva | Yeshiva University

Dr. Honggang Wang, chair of the Graduate Department of Computer Science and Engineering at the Katz School, presented a certificate for outstanding presentation on "Secure Web Application for Sensitive Data" to cybersecurity students Joy Awoleye and Elijah Laticbe during a recent research showcase. The event featured graduate student projects in areas such as Artificial Intelligence, Cybersecurity, and Data Analytics.

"The Katz School’s graduate research presentation featured the ingenuity and dedication of its students, demonstrating their ability to tackle complex challenges with innovative solutions," stated Dr. Wang. He highlighted projects that aim to revolutionize career services, advance AI techniques, enhance cybersecurity, and explore data visualization.

In one project focused on career services, Surya Suresh Sriraman, Shashidhar Vadla, and Prem Chand Jala developed a cloud-data backed dashboard for YU’s Shevet Glaubach Center for Career Strategy and Professional Development. This system centralizes data from various sources to improve trend tracking in student appointments.

Mohammad Zubair Khan presented his work on "Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification." His approach extends traditional logistic regression by creating subsets within datasets to improve classification accuracy.

Kartik Warrier introduced "Towards Contactless Human Concentration Monitoring Using mmWave Signals," which uses Commercial-Off-The-Shelf mmWave devices to detect concentration-related activities like blinking. The system achieved a 95.3% accuracy rate in diverse environments.

Cybersecurity students Yasmin Fathima, Salman Sheikh, Gokul Raju, and Ahasan Divyen discussed "DataViz Forensic Data Visualization Tool," which analyzes live network traffic anomalies through dynamic visualization tools.

Anagh Sharma and Surya Suresh Sriraman demonstrated a conversational AI solution for the Shevet Glaubach Center using OpenAI GPT technology. This tool aims to automate responses to career-related inquiries.

Other notable presentations included projects on Bayesian Optimization by Siddhant Anand Jadhav; GPS-based attendance systems by Xiaohang Liu and Shikshit Gupta; video quality assessment by Hang Yu and Ruiming Tian; ransomware threats tackled by Loveth Odozor's team; gesture recognition with Wi-Fi signals by Kalyan Roy's team; blockchain security by Altaf Ahmed's group; and secure web applications for sensitive data by Joy Awoleye's team.

These projects reflect the commitment of Katz School students to addressing current technological challenges through research and innovation.

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