Ph.D. Student Research

COMPUTER SCIENCE, PH.D.

Access to Industry Resources

CoECS has launched a holistic effort to provide professional skills training and certification to students, as well as alumni, faculty, and staff through partnerships with top technology organizations:

Red Hat Academy Training

Courses and Certification

Exams: students can gain practical experience and access to free training in Linux, cloud, container, and Kubernetes technologies.

Zscaler Professional Certifications: students and alumni can sign up, receive training materials, and achieve certification for Zscaler Cloud Professional Internet Access (ZIA) and Cloud Professional Private Access (ZPA), completely free of charge.

Fortinet: New York Tech students have access, free of charge, to Fortinet’s NSE Training Institute Certification Program.

IEEE eLearning Library: offers free access to hundreds of highquality, peer-reviewed online courses in core and emerging technologies, providing faculty and students direct access to learn.

Google Learning Program: students can take courses and obtain Google certificates in Project Management, IT Support, UX Design, Data Analytics, and IT Automation with Python.

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Graduate Computer Engineering and Comp Sci Programs in the U.S. (2022) – TFE Times

Coursera: allows students to access online courses and earn valuable certifications as well as up to six credits toward their undergraduate CSCI or IT degree.

OutSystems: this industryleading “low-code” app-building platform provides training, resources, and tools to students.

Wolfram: products like Mathematica, Wolfram Programming Lab, and more available to faculty and students for courses and research projects.

LinkedIn Learning: students, faculty, and staff have free, unlimited, single-sign-on (SSO) access to a library of 17,000+ online courses covering a wide range of supplemental education as well as professional and personal development skills.

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Best Schools to Earn Your Cybersecurity Degree Safeatlast

Nicholas Cariello, CPU Power SideChannel Attacks – This project focuses on establishing previously unknown side-channels for covert data exfiltration. Specifically, it considers CPU power states and the resulting CPU frequency and performance. The latter can be sampled remotely, and therefore represents a serious security threat.

Zheng Li, Acceleration Techs for Training Model – This project studies the acceleration techniques for training models. Models are expected to get 200%+ training speedups and improved performance by using acceleration techniques.

Ziqing Yang, Robust Speaker Verification with Emotion and Face Mask Compensation – This study investigates how different emotions and various types of face masks affect the performance of speaker verification and propose new compensation techniques to overcome the emotion variation and muffled speech in speaker verification.

ENGINEERING, PH.D.

Hailun (Helen) Wu, Modeling of Human Decision-Making on Sustainable Commute Mode Choice – This project investigates factors on how people make decisions on their commute mode choice and explores game theory to model this decision-making process and uses publicly available data to validate the model for a more sustainable outcome.

Yihan Xu, Wireless Sensing of Soil Quality – This project develops novel approaches to sense the nutrients and heavy metals in the soil wirelessly. To accomplish this task, softwaredefined radio systems are employed as radar systems and passive devices are embedded inside the soil as sensors.

Maharshi Shah, Quantitative Near-Field Microwave Holographic Imaging – Nearfield holographic imaging is used to identify the shape, and location of the object/defect, within the scanned region. This project makes use of this concept to extract quantitative information like relative permittivity, which is extremely useful in biomedical imaging.