International Students

EXPERTISE: Artificial intelligence and its applications to digital health, 5G/6G communications and cybersecurity

Dr. Honggang Wang is founding chair of the graduate Computer Science Department at the Katz School of Science and Health. An IEEE Fellow and IEEE Distinguished Lecturer, Dr. Honggang Wang has received research grants totaling over $5 million from the National Science Foundation, National Institutes of Health and U.S. Department of Transportation.

As a senior faculty member at the University of Massachusetts-Dartmouth, Dr. Wang focused his research on the field of Internet of Things (IoT). One of his discoveries was a portable, lightweight “intensive care unit,” which includes a wearable biosensor system incorporating a wireless body area network that monitors remotely the physiology of infants to anticipate life-threatening events, such as Sudden Infant Death Syndrome. He is also developing autonomous vehicle navigation algorithms for detecting hazardous road situations to make cars safer.

He received an Outstanding Researcher Award from the IEEE Communications Society and served as chair of both the IEEE Technical Committee on Multimedia Communications and IEEE e-Health Technical Committee. He also served as editor-in-chief of the IEEE’s peer-reviewed Internet of Things Journal. His book, Wireless Health, published by Springer, was one of the first in the field.

Dr. Wang holds a Ph.D. in computer engineering from the University of Nebraska-Lincoln, and an M.S. in computer science and engineering and a B.E. in electrical engineering from Southwest Jiaotong University in Chengdu, China.

EXPERTISE: Industrial Cybersecurity, Information Security Management, Cloud Security, Social Entrepreneurship

Sivan Tehila, program director and a cybersecurity expert with over 15 years of experience, teaches the course Cybersecurity Audit, Assessment, and Testing. She is CEO of Onyxia, a cybersecurity strategy and performance platform.

She served in the Israel Defense Forces, fulfilling multiple positions including intelligence officer, CISO of Research and Analysis Division and head of the Information Security Department of the Intelligence Corps. She was honorably discharged as a captain. In addition, she was an information security officer and a profiler for the Israeli defense technology company RAFAEL and served as a cybersecurity consultant for the Israel Railways.

She currently runs technical and educational workshops in cybersecurity, speaks at conferences around the world and contributes to information and cybersecurity magazines, including SecurityWitch. She also has dedicated herself to promoting women in cybersecurity. In addition to Cyber Ladies NYC, she developed a unique cybersecurity program for Manhattan High School for girls.

Tehila holds an M.S. in business development from Haifa University and a Certified CISO from the Technion-Israel Institute of Technology.

An IEEE Distinguished Lecturer and Senior Member, Dr. Fang specializes in machine learning, statistical learning, and visual analytics with applications in digital health, infectious diseases, and behavioral medicine. She holds patents including "System and Methods for Trajectory Pattern Recognition" and has sustained over $10M in continuous funding from NSF, NIH, PCORI, and VA, including two NIH R01 grants supporting research on digital clinical trials. She serves as Area Editor for the IEEE IoT Journal specializing in AI for IoT and contributes to editorial boards for IEEE Transactions on Big Data and major ACM/IEEE conference committees.

EXPERTISE: Information security; applied cryptography; wireless networking and sensing; distributed trust; and applied machine learning, with interests in practical security and privacy in IoT systems.

Shucheng Yu is the recipient of the Test of Time Paper Award of IEEE Infocom 2020 for his research on cloud data security. At the Stevens Institute of Technology, he directed the AISecLab research cluster of the ECE department. He is a Fellow of IEEE and a Fellow of AAIA.

His journal publications focus on advancing security, privacy and efficiency in emerging network and computing systems. His 2023 work in IEEE Transactions on Vehicular Technologyexplores cooperative non-orthogonal multiple access (NOMA)-based spectrum leasing involving multiple secondary users, improving spectral efficiency in wireless networks. Also in 2023, he co-authored a paper in IEEE Transactions on Information Forensics and Security introducing SAFELearning, a federated learning framework that integrates secure aggregation with backdoor attack detectability. 

His 2022 publication in Applied Sciences presents a privacy-preserving method for deep neural network inference offloading, enhancing edge computing capabilities. His 2021 article in IEEE Transactions on Services Computingdevelops an indirect revocable key-policy attribute-based encryption (KP-ABE) system that can resist unauthorized revocation undoing. Finally, his 2020 contribution to the IEEE Internet of Things Journal proposes a low-latency, privacy-preserving scheme for outsourcing deep neural network inference—critical for secure, real-time applications in IoT. Collectively, these works demonstrate Yu’s commitment to developing secure, scalable solutions for distributed AI and networked systems.

Yu holds a Ph.D. in electrical and computer engineering from Worcester Polytechnic Institute.

With over a decade leading communications, marketing, and digital strategy for professional sports organizations—including the New York Knicks and Madison Square Garden—Ajah brings deep expertise in strategic storytelling. Her research focuses on equity and access in higher education, the impact of strategic communication on student engagement, and diversity in sports communications.