Yongzhi Wang | Information Security | Best Scholar Award

Published on 06/05/202421/09/2024 by Shen Awards

Dr. Yongzhi Wang | Information Security | Best Scholar Award

Assistant Professor of Texas A&M University-Corpus Christi, United States .

Professional Profiles:

Education

Dr. Yongzhi Wang has pursued an extensive academic journey, culminating in advanced degrees in computer science from prestigious institutions. He earned his Doctor of Philosophy (Ph.D.) and Master of Science (M.S.) degrees in Computer Science from Florida International University in Miami, Florida, U.S.A., with a focus on secure outsourced computing frameworks in cloud environments. Dr. Wang also holds a Master of Engineering (M.Eng.) in Computer Science from Xidian University in China and a Bachelor of Engineering (B.Eng.) in Computer Science from the same institution. Throughout his academic career, Dr. Wang demonstrated exceptional academic prowess, reflected in his high academic achievements with a GPA of 3.91 for both his Ph.D. and M.S. degrees. His educational background underscores his expertise in computer science, particularly in areas related to cloud computing, cybersecurity, and advanced technologies. Dr. Wang’s academic foundation has positioned him as a leading researcher and educator in the field of computer science.

Professional Experience

Dr. Yongzhi Wang has amassed a wealth of professional experience across academia, research, and industry, reflecting his deep expertise in computer science and related disciplines. He currently serves as an Assistant Professor at Texas A&M University at Corpus Christi, where he conducts cutting-edge research, teaches computer science courses, and mentors students in academic and research endeavors. Prior to this role, Dr. Wang held positions as an Associate Professor and Assistant Professor at Park University, contributing significantly to research initiatives and academic programs. Before his academic appointments, Dr. Wang served as an Assistant Professor at Xidian University in China, where he conducted research, taught courses, and supervised graduate students. His professional journey also includes roles as a Research Assistant and Teaching Assistant at Florida International University and as a Staff Software Engineer at IBM, where he applied his technical expertise in software development and project management. Dr. Wang’s diverse professional background underscores his leadership, dedication, and impact in advancing computer science education, research, and innovation.

Research Interest

Dr. Yongzhi Wang’s research interests span several critical areas in computer science and related disciplines. His primary focus includes cloud computing and security, where he explores secure computing frameworks and protocols to address data privacy and integrity challenges in cloud environments. Dr. Wang is also engaged in research on blockchain technologies, investigating their applications in enhancing security and transparency across various industries. Another significant aspect of Dr. Wang’s research is cybersecurity, encompassing threat detection, risk management, and intrusion detection systems to safeguard critical infrastructures from cyber threats. He also delves into big data and data privacy, developing techniques for preserving data privacy and ensuring the integrity of sensitive information in large-scale data environments. Moreover, Dr. Wang’s interest extends to virtualized lab environments for computer education, aiming to enhance practical learning experiences and accessibility to computing resources. Through his research, Dr. Wang contributes to advancing secure and efficient computing technologies, addressing contemporary challenges in the digital age.

Award and Honors

Dr. Yongzhi Wang’s exemplary contributions to computer science have been recognized through prestigious awards and honors throughout his career. Notably, his research article was acknowledged as a Trending Article in IEEE Transactions on Computers, reflecting the relevance and impact of his work in the field. He was also honored with the Distinguished Faculty Scholar Award at Park University, recognizing his outstanding scholarship and academic contributions. In addition, Dr. Wang received the Best Paper Award at the 2017 International Conference on Networking and Network Applications for his significant research achievements. His excellence in teaching was acknowledged with a second-place finish in the Faculty Teaching Competition at Xidian University. Furthermore, he was awarded the Dissertation Year Fellowship at Florida International University in recognition of his exceptional doctoral research. These accolades highlight Dr. Wang’s dedication to advancing computer science through innovative research, teaching excellence, and scholarly pursuits, solidifying his reputation as a leader in the field.

Research Skills

Dr. Yongzhi Wang’s distinguished career in computer science has been marked by several prestigious awards and honors that underscore his outstanding contributions to the field. Notably, his research article was recognized as a Trending Article in IEEE Transactions on Computers, demonstrating the impact and relevance of his work within the academic community. Additionally, Dr. Wang received the esteemed Distinguished Faculty Scholar Award at Park University, acknowledging his exceptional scholarship and academic leadership. Further highlighting his research excellence, Dr. Wang was honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications for his significant contributions to the field. His dedication to teaching was also celebrated with a second-place finish in the Faculty Teaching Competition at Xidian University. Moreover, his exceptional doctoral research was recognized with the Dissertation Year Fellowship at Florida International University. These accolades reflect Dr. Wang’s commitment to advancing computer science through innovative research, teaching excellence, and scholarly achievements, positioning him as a distinguished leader in the field.

Publications

Microthings: A generic IoT architecture for flexible data aggregation and scalable service cooperation
Authors: Y. Shen, T. Zhang, Y. Wang, H. Wang, X. Jiang
Year: 2017
Citations: 76
Viaf: Verification-based integrity assurance framework for MapReduce
Authors: Y. Wang, J. Wei
Year: 2011
Citations: 76
Secure -NN Query on Encrypted Cloud Data with Multiple Keys
Authors: K. Cheng, L. Wang, Y. Shen, H. Wang, Y. Wang, X. Jiang, H. Zhong
Year: 2017
Citations: 71
Special issue on security and privacy in network computing
Authors: H. Wang, Y. Wang, T. Taleb, X. Jiang
Year: 2020
Citations: 69
MTMR: Ensuring MapReduce computation integrity with Merkle tree-based verifications
Authors: Y. Wang, Y. Shen, H. Wang, J. Cao, X. Jiang
Year: 2016
Citations: 46
Result integrity check for MapReduce computation on hybrid clouds
Authors: Y. Wang, J. Wei, M. Srivatsa
Year: 2013
Citations: 30
IntegrityMR: Integrity assurance framework for big data analytics and management applications
Authors: Y. Wang, J. Wei, M. Srivatsa, Y. Duan, W. Du
Year: 2013
Citations: 28
CryptSQLite: SQLite with high data security
Authors: Y. Wang, Y. Shen, C. Su, J. Ma, L. Liu, X. Dong
Year: 2019
Citations: 19
Strongly secure and efficient range queries in cloud databases under multiple keys
Authors: K. Cheng, Y. Shen, Y. Wang, L. Wang, J. Ma, X. Jiang, C. Su
Year: 2019
Citations: 18
Trustworthy service composition with secure data transmission in sensor networks
Authors: T. Zhang, L. Zheng, Y. Wang, Y. Shen, N. Xi, J. Ma, J. Yong
Year: 2018
Citations: 15

Jian Ren | Internet Security | Best Researcher Award

Published on 01/04/202401/04/2024 by Shen Awards

Prof Dr. Jian Ren | Internet Security | Best Researcher Award

Professor at Internet Security, Michigan State University, United States.

Jian Ren is a highly accomplished professional with a Ph.D. in Electrical Engineering and a strong background in cybersecurity. He currently serves as a Professor at Michigan State University, where he has held various academic positions since 2002. Jian Ren’s research interests include blockchain-based applications, cybersecurity/IoT security, distributed data sharing and storage, secure edge/cloud computing, and AI and machine learning security. Throughout his career, Jian Ren has secured numerous research grants, including a prestigious NSF CAREER Award, and has published extensively in reputable journals and conferences. He is also actively involved in editorial roles, serving as the Editor-in-Chief of IET Communications and holding positions in several other prominent publications.

Professional Profiles:

Education:

Jian Ren completed his Ph.D. in Electrical Engineering from Xidian University, People’s Republic of China, in 1994. Prior to that, he obtained a Master of Science degree in Mathematics from Shaanxi Normal University in 1991, following a Bachelor of Science degree in Mathematics from the same university in 1988. These academic achievements laid the foundation for his extensive career in academia and research, particularly in the fields of electrical engineering, cybersecurity, and information technology.

Research Experience:

Jian Ren has a prolific research background, spanning various aspects of cybersecurity, information security, and distributed computing. He has been involved in numerous research projects, including those funded by prestigious organizations like the National Science Foundation (NSF) and industrial partners. His work has contributed significantly to the fields of blockchain-based applications, cybersecurity, IoT security, distributed data sharing, and secure edge/cloud computing. One of his notable contributions includes the development of a mobile end-to-end (E2E) voting scheme, which is currently in the process of commercialization and has a pending patent application. This scheme demonstrates his innovative approach to utilizing blockchain technology for secure and efficient electronic voting systems.

Research Interest:

Jian Ren’s research interests encompass several key areas within electrical engineering and cybersecurity. His work focuses on blockchain-based applications, exploring their potential for secure and transparent data sharing and storage. Additionally, he is deeply involved in researching cybersecurity and IoT security, aiming to enhance the security and privacy of IoT devices and networks. Jian Ren also delves into distributed and decentralized data sharing and storage, seeking to improve efficiency, scalability, and security in these domains. His research extends to secure edge and cloud computing, where he aims to develop secure and efficient computing paradigms for these environments. Lastly, he investigates the security implications of AI and machine learning algorithms, working towards developing secure AI and ML models and systems. Jian Ren’s research is pivotal in addressing critical cybersecurity challenges and advancing secure computing and data management practices.

Award and Honors:

Jian Ren has been recognized with several prestigious awards and honors for his exceptional contributions to the field of electrical engineering and cybersecurity. Among his accolades is the NSF CAREER Award, a highly esteemed recognition of his early-career research and educational achievements, specifically for his project “Towards Cognitive Communications in Wireless Networks.” Jian Ren’s membership in the IEEE Communications Society Communications and Information Security Technical Committee (CISTC) further underscores his expertise and leadership in communications and information security. He also serves as the Editor-in-Chief of IET Communications, a role that showcases his editorial excellence and significant contributions to the field. Additionally, Jian Ren has played key leadership roles in conferences, including serving as the General Chair of IEEE ICNC 2018 and the TPC-Chair of IEEE ICNC 2017, highlighting his influence and impact in the academic community. His success in securing multiple research grants from prestigious organizations like the National Science Foundation (NSF) and TCL Research, totaling over $2 million, speaks to the significance and impact of his research contributions. Furthermore, his dedication to mentoring graduate students, who have gone on to achieve prominent positions in academia and industry, demonstrates his commitment to nurturing future leaders in the field. Overall, Jian Ren’s awards and honors underscore his excellence in research, education, and leadership, making him a distinguished figure in the field of electrical engineering and cybersecurity.

Skills:

Jian Ren possesses a diverse skill set that has contributed significantly to his success in the fields of electrical engineering and cybersecurity. His research skills are exemplary, allowing him to delve deep into areas such as blockchain-based applications, cybersecurity, IoT security, distributed data sharing, and secure edge/cloud computing. In addition, his technical proficiency spans secure communication systems, wireless networks, network coding, and sensor networks. Jian Ren’s leadership abilities are evident through his roles as an editor-in-chief, conference chair, and committee member, showcasing his capacity to lead and manage teams effectively. Furthermore, his excellent communication skills enable him to present research findings, write publications, and collaborate with colleagues effectively. Jian Ren’s strong analytical skills empower him to analyze complex problems and devise innovative solutions. As a teacher, he excels in conveying intricate concepts in digital logic design, electrical engineering analysis, computer and communications security, and cryptography to his students. Through mentoring, Jian Ren has guided numerous graduate students, aiding in their research and professional development. Collectively, his skills underscore his accomplishments in academia and research, establishing him as a highly respected figure in his field.

Teaching Experience:

Jian Ren’s teaching experience encompasses a range of courses in the fields of electrical engineering and cybersecurity. He has taught courses such as Digital Logic Design, Electrical Engineering Analysis, Computer and Communications Security, Cryptography and Network Security, and other related subjects. Through these courses, Jian Ren imparts his knowledge and expertise to students, helping them understand complex concepts and develop practical skills relevant to their field. As a teacher, Jian Ren is known for his ability to effectively communicate complex ideas, making them accessible to students of varying backgrounds and levels of expertise. He uses a variety of teaching methods and tools to engage students and facilitate their learning, including lectures, discussions, hands-on activities, and assignments.

Publications:

Source-location privacy through dynamic routing in wireless sensor networks
- Authors: Y Li, J Ren
- Year: 2010
- Citations: 140
Survey on anonymous communications in computer networks
- Authors: J Ren, J Wu
- Year: 2010
- Citations: 131
Quantitative measurement and design of source-location privacy schemes for wireless sensor networks
- Authors: Y Li, J Ren, J Wu
- Year: 2011
- Citations: 126
Defense against primary user emulation attacks in cognitive radio networks using advanced encryption standard
- Authors: A Alahmadi, M Abdelhakim, J Ren, T Li
- Year: 2014
- Citations: 119
Generalized digital certificate for user authentication and key establishment for secure communications
- Authors: L Harn, J Ren
- Year: 2011
- Citations: 116
Preserving source-location privacy in wireless sensor networks
- Authors: Y Li, J Ren
- Year: 2009
- Citations: 104
Cost-aware secure routing (CASER) protocol design for wireless sensor networks
- Authors: D Tang, T Li, J Ren, J Wu
- Year: 2014
- Citations: 102
Enhanced privacy of a remote data integrity-checking protocol for secure cloud storage
- Authors: Y Yu, MH Au, Y Mu, S Tang, J Ren, W Susilo, L Dong
- Year: 2015
- Citations: 95
PassBio: Privacy-preserving user-centric biometric authentication
- Authors: K Zhou, J Ren
- Year: 2018
- Citations: 94
Secure wireless monitoring and control systems for smart grid and smart home
- Authors: T Li, J Ren, X Tang
- Year: 2012
- Citations: 65