Yonghong Wang | Access Control | Best Researcher Award

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Dr. Yonghong Wang | Access Control | Best Researcher Award

Lecturer at Xinzhou Normal University, China

Dr. Yonghong Wang is a Lecturer in Computer Science at Xinzhou Normal University, where he has taught since 2007. He holds a B.S. in Computer Science and Technology from Xinzhou Normal University, an M.S. in Civil and Commercial Law from Shanxi University of Finance and Economics, and an M.S. in Software Engineering from North University of China. Currently pursuing a Ph.D. in Information Systems at INTI International University, Dr. Wang specializes in computer vision, network security, and the Internet of Things. He has published extensively in SCI and Scopus-indexed journals and is actively engaged in both academic and industry research projects.

Profile:

Education:

Dr. Yonghong Wang holds a Bachelor of Science degree in Computer Science and Technology from Xinzhou Normal University, awarded in 2007. He pursued further studies and earned a Master of Science in Civil and Commercial Law from Shanxi University of Finance and Economics in 2015. Additionally, Dr. Wang completed a second Master’s degree in Software Engineering at North University of China in 2016. Currently, he is pursuing a Ph.D. in Information Systems at INTI International University, a program he began in 2020. His educational background is multidisciplinary, integrating expertise in computer science, law, and software engineering.

Professional Experience:

Dr. Yonghong Wang has extensive professional experience as a Lecturer in Computer Science at Xinzhou Normal University, a position he has held since 2007. In this role, he has been responsible for teaching various computer science courses, mentoring students, and contributing to curriculum development. Over the years, he has actively participated in research projects, leading four completed projects and currently overseeing two ongoing projects. Dr. Wang has also engaged in consultancy and industry projects, collaborating with various organizations to apply his expertise in computer vision, network security, and the Internet of Things. His involvement in both academia and industry showcases his commitment to bridging theoretical knowledge with practical applications.

Research Interests:

Dr. Yonghong Wang’s research interests encompass a diverse range of fields, primarily focusing on computer vision, network security, and the Internet of Things (IoT). His work in computer vision explores innovative methods for image processing and analysis, aiming to enhance machine perception capabilities. In the realm of network security, Dr. Wang investigates strategies to protect data integrity and confidentiality in increasingly complex digital environments. Additionally, his research on the Internet of Things emphasizes the integration of smart devices and systems, addressing challenges related to security and interoperability. Through his multifaceted research, Dr. Wang aims to contribute to advancements in technology and improve practical applications in these critical areas.

Skills:

Dr. Yonghong Wang possesses a robust skill set that reflects his expertise in multiple domains. He has strong technical proficiency in computer programming and software development, which underpins his work in computer science and software engineering. His skills in computer vision enable him to implement advanced algorithms for image analysis and processing, while his knowledge of network security equips him to devise effective strategies for safeguarding digital information. Dr. Wang is also adept at data analysis, which is essential for his research in the Internet of Things, where he addresses challenges related to data management and device integration. Additionally, his effective communication and collaboration skills enhance his ability to work on interdisciplinary projects and contribute to both academic and industry partnerships.

Conclusion:

Based on his academic and professional achievements, Dr. Wang Yonghong is a suitable candidate for the Best Researcher Award. His work reflects a blend of technical proficiency and practical impact, especially in the fields of computer vision, network security, and IoT. His academic publications, industry engagements, and commitment to ongoing research affirm his qualifications for this award.

Publication Top Noted:

Federated deep learning for anomaly detection in the internet of things

  • Authors: X. Wang, Y. Wang, Z. Javaheri, L. Almutairi, N. Moghadamnejad, O.S. Younes
  • Journal: Computers and Electrical Engineering
  • Volume: 108
  • Article ID: 108651
  • Year: 2023
  • Citations: 51

Attack detection analysis in software-defined networks using various machine learning methods

  • Authors: Y. Wang, X. Wang, M.M. Ariffin, M. Abolfathi, A. Alqhatani, L. Almutairi
  • Journal: Computers and Electrical Engineering
  • Volume: 108
  • Article ID: 108655
  • Year: 2023
  • Citations: 11

WSLC: Weighted semi-local centrality to identify influential nodes in complex networks

  • Authors: X. Wang, M. Othman, D.A. Dewi, Y. Wang
  • Journal: Journal of King Saud University – Computer and Information Sciences
  • Volume: 36
  • Issue: 1
  • Article ID: 101906
  • Year: 2024
  • Citations: 4

Enhancing Enterprise Value Creation Through Intelligent Digital Transformation of the Value Chain: A Deep Learning and Edge Computing Approach

  • Authors: R. Liu, Y. Wang
  • Journal: Journal of the Knowledge Economy
  • Pages: 1-19
  • Year: 2024
  • Citations: 1

Face Recognition Technology Based on Deep Learning Algorithm for Smart Classroom Usage

  • Authors: Y.H. Wang, W.O. Choo, X.F. Wang
  • Journal: Journal of Engineering Science and Technology
  • Volume: 18
  • Pages: 39-47
  • Year: 2023
  • Citations: 1

DFRDRL: A dynamic fuzzy routing algorithm based on deep reinforcement learning with guaranteed latency and bandwidth for software-defined networks

  • Authors: Y. Wang, M. Othman, W.O. Choo, R. Liu, X. Wang
  • Journal: Journal of Big Data
  • Volume: 11
  • Issue: 1
  • Article ID: 150
  • Year: 2024

Ahamed Ali S | Information Security | Best Researcher Award

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Dr. Ahamed Ali S, Information Security, Best Researcher Award

Doctorate at Easwari Engineering College, India

Dr. Ahamed Ali S is an accomplished academician and researcher in the field of Computer Science and Engineering (CSE). He holds a Ph.D. in CSE from Anna University, which he completed in 2019. Prior to his doctoral studies, he obtained his Master’s degree (M.E.) in CSE from Anna University, graduating with First Class with Distinction in 2005. Dr. Ahamed Ali S began his academic journey with a Bachelor’s degree (B.E.) in CSE from Bharathidasan University, where he achieved First Class honors in 1999.

With over 18 years of experience in academia, Dr. Ahamed Ali S has served in various capacities, including Assistant Professor roles at prestigious institutions such as SRM Easwari Engineering College and Velammal Engineering College in Chennai. He has also contributed as a Lecturer at Jerusalem Engineering College and Srinivasa Institute of Engineering and Technology. Throughout his career, he has taken on several responsibilities, including membership in professional bodies, participation in boards and advisory committees, and coordination of national conferences and events.

profile

Education

  • Ph.D. (CSE), Anna University, 2019 (Grade: NA)
  • M.E (CSE), Anna University, 2005 (First Class with Distinction)
  • B.E (CSE), Bharathidasan University, 1999 (First Class)
Professional Experience
Dr. Ahamed Ali S is a highly experienced academician and researcher with over 18 years of dedicated service in the field of Computer Science and Engineering (CSE). His professional journey includes significant roles at esteemed educational institutions in Chennai, India.

From March 2021 to the present, Dr. Ahamed Ali S has been serving as an Assistant Professor at SRM Easwari Engineering College, where he contributes to the academic and research activities in CSE. Prior to his current position, he held the position of Assistant Professor (Grade III) at Velammal Engineering College, Chennai, from July 2006 to February 2021, where he made notable contributions to the department.

Earlier in his career, Dr. Ahamed Ali S served as a Lecturer at Jerusalem Engineering College for 1 year and 6 months (from December 2004 to June 2006) and at Srinivasa Institute of Engineering and Technology for 2 years and 7 months (from December 2000 to July 2003). Throughout his tenure in academia, he has been actively involved in various administrative and academic responsibilities, including:

  • Serving as a member of the Placement Committee
  • Coordinating the National Board of Accreditation (NBA) Department
  • Overseeing NAAC Criteria V as Incharge
  • Fulfilling duties as the NIRF Coordinator
  • Acting as a Proctor
  • Serving as the Autonomous Coordinator for the department
  • Membership in the Course File Committee
  • Overseeing feedback mechanisms
  • Coordination as the LFC coordinator for Tech Mahindra

In addition to his academic roles, Dr. Ahamed Ali S is affiliated with professional bodies such as the International Association of Engineers (ID: 216052) and the Internet Society (ID: 194027). He actively contributes to the academic community as a reviewer for reputable journals like KSII Transactions on Internet and Information Systems and as a Technical Committee Member in various national conferences.

Dr. Ahamed Ali S is committed to his professional development and has obtained several certifications in cutting-edge technologies and educational methodologies, including Cloud Computing, Python for Data Science, NBA Accreditation, Software Testing, and Java Programming. He is certified by NITTR, Chennai, and ZANDIG TQM Solutions Pvt Ltd, Bangalore, and has completed the Cisco Networking Academy’s CCNA Exploration: Network Fundamentals course.

Research Interest

Dr. Ahamed Ali S’s research interests span a broad spectrum within the field of Computer Science and Engineering (CSE). With over 18 years of experience, his scholarly pursuits encompass several key areas of inquiry. Primarily, he delves into Artificial Intelligence (AI) and Machine Learning (ML), exploring the development and application of algorithms in natural language processing, computer vision, pattern recognition, and predictive analytics. Additionally, he investigates Data Science and Big Data Analytics, focusing on methodologies for analyzing large datasets across various domains. Dr. Ahamed Ali S is also engaged in research related to Internet of Things (IoT) and Sensor Networks, examining design principles, communication protocols, and energy-efficient solutions. Furthermore, his interests extend to cybersecurity, privacy-preserving technologies, and cryptography, addressing emerging challenges in safeguarding digital assets and sensitive information. Moreover, he explores advanced topics in deep learning, neural networks, computer vision, and image processing, aiming to enhance performance and interpretability for diverse applications. Dr. Ahamed Ali S’s research endeavors also encompass edge computing, distributed systems, blockchain technology, cloud computing, software engineering, and development methodologies. Through his interdisciplinary approach, he seeks to advance knowledge and contribute to the development of innovative solutions with real-world impact.

Publications 

Developing multi-path routing protocol in MANET using hybrid SM-CSBO based on novel multi-objective function

  • Journal: International Journal of Communication Systems
  • Year: 2023
  • DOI: 10.1002/DAC.5404
  • WOSUID: WOS:000896772000001
  • Contributors: Deepa Jeyaraj, Justindhas Yesudhasan, Ahamed Ali Samsu Aliar

Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy

  • Journal: Wireless Networks
  • Year: 2023
  • DOI: 10.1007/s11276-022-03204-5
  • Contributors: Deepa Jeyaraj, Ahamed Ali Samsu Aliar, Hemamalini S.

An Automated Detection of DDoS Attack in Cloud Using Optimized Weighted Fused Features and Hybrid DBN-GRU Architecture

  • Journal: Cybernetics and Systems
  • Year: 2022
  • DOI: 10.1080/01969722.2022.2157603
  • WOSUID: WOS:000914201500001
  • Contributors: Ahamed Ali Samsu Aliar, Moorthy Agoramoorthy, Y. Justindhas

Effective intrusion detection system for IoT using optimized capsule autoencoder model

  • Journal: Concurrency and Computation: Practice and Experience
  • Year: 2022
  • DOI: 10.1002/cpe.6918
  • EID: 2-s2.0-85126000835
  • Contributors: C.U. Om Kumar, J. Durairaj, S.A. Ahamed Ali, Y. Justindhas, S. Marappan

Survey on Autonomous Vehicles using Artificial Intelligence

  • Conference: 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC)
  • Year: 2022
  • DOI: 10.1109/icesc54411.2022.9885422
  • Contributors: Ahamed Ali Samsu Aliar