Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Published on by Global Scholar Awards

Mr. Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Assistant Professor VIT Bhopal University, Madhya Pradesh India

👨‍💻 Ashfaq Ahmad Najar is an accomplished IT professional and academic, currently serving as an IT Manager and Faculty at VIT Bhopal University, Madhya Pradesh. With a rich background in cyber security, machine learning, and deep learning, he has made significant contributions to the field through his research and publications. Ashfaq is dedicated to advancing knowledge in cybersecurity and has presented his work at various national and international platforms.

 

Profile

Google Scholar

Education

🎓 Ashfaq Ahmad Najar is nearing the completion of his Ph.D. in Computer Science from the Central University of Kerala, having submitted his thesis. He holds a Master’s degree in Information Technology from the Central University of Kashmir and a Bachelor’s degree in Information Technology from the University of Kashmir. His early education was completed at the J&K State Board of School Education.

Experience

💼 Ashfaq has a robust professional background, currently holding the position of IT Manager and Faculty at VIT Bhopal University. He has previously worked as an IT Manager Head and Tutor at KCCSBA Bijbehera, Anantnag, and as a Guest Faculty at Govt Boys Degree College Anantnag. His experience is complemented by his active participation in various workshops, seminars, and hackathons.

Research Interest

🔍 Ashfaq’s research interests are focused on Cyber Security, specifically Distributed Denial of Service (DDoS) attacks, as well as Machine Learning and Deep Learning. His work aims to develop robust systems to detect and mitigate cyber threats, leveraging advanced neural network architectures and machine learning algorithms.

Awards

🏆 Ashfaq has received several accolades, including the UGC-NET 2023 qualification, the GATE 2018 qualification, and the CUK University Fellowship for his Ph.D. research. He was also honored with the Young Researcher Award for his work on DDoS attack detection using MLP and random forest algorithms, and recognized as the best all-rounder in a cricket tournament organized by the Central University of Kerala.

Publications Top Notes

📝 Ashfaq Ahmad Najar has published numerous research articles in prestigious journals. Some of his notable works include:

A novel CNN-based approach for detection and classification of DDoS attacks. Concurrency Computat Pract Exper, 2024, Wiley. Cited by 4 articles

A robust DDoS intrusion detection system using convolutional neural network. Computers and Electrical Engineering, 2024, Elsevier. Cited by 8 articles

Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks. Computers & Security, 2024, Elsevier. Cited by 6 articles

DDoS attack detection and mitigation using deep neural network in SDN environment. Computers & Security, 2024, Elsevier. Cited by 3 articles

DDoS attack detection using MLP and random forest algorithms. International Journal of Information Technology, 2022, Springer. Cited by 5 articles

 

Jiali Zheng | Artificial Intelligence | Best Researcher Award

Published on by Global Scholar Awards

🌟Prof. Jiali Zheng, Artificial Intelligence, Best Researcher Award🏆

  •  Professor at Guangxi University, China 

Jiali Zheng is a distinguished figure in the field of computer science and technology, with a primary focus on areas such as Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain. With a strong educational background and extensive professional experience, Zheng has made significant contributions to research, particularly in the development of secure and efficient IoT systems and blockchain algorithms. As a professor and department director at Guangxi University, Zheng continues to lead groundbreaking projects and publish influential works in top-tier journals and conferences.

Author Metrics

Scopus Profile

While precise author metrics are not provided, Zheng’s contributions can be gauged by the quality and quantity of publications, citations, and project funding. Zheng’s research output, as evidenced by the list of publications and patents, indicates a prolific and influential academic career.

  • Citations: 53 citations by 50 documents.
  • Documents: Zheng has authored 23 documents.
  • h-index: The h-index is 5.

Education

Jiali Zheng pursued higher education at the prestigious Institute of Computing Technology, Chinese Academy of Sciences, obtaining both a Ph.D. and M.S.E. in Computer Science and Technology in 2008. Prior to this, Zheng completed a Bachelor of Science in Computer Science and Technology at Guangxi University in 2001, laying the foundation for a distinguished academic career.

Research Focus

Zheng’s research primarily revolves around the integration of cutting-edge technologies such as Federated Learning, Blockchain, and IoT to address critical challenges in data security, privacy, and system optimization. Zheng’s work often delves into areas such as secure IoT data sharing, multi-objective RFID indoor localization, and optimized blockchain algorithms for edge-based IoT systems.

Professional Journey

Since November 2009, Jiali Zheng has served as a Professor and Department Director at the School of Computer, Electrics, and Information at Guangxi University, Nanning, China. Throughout their tenure, Zheng has been instrumental in advancing research initiatives, mentoring students, and fostering collaborations within academia and industry.

Honors & Awards

While specific honors and awards are not listed in the provided information, it is evident that Zheng’s contributions have been recognized within the academic community through publications in reputable journals and successful project funding from organizations such as the National Natural Science Foundation of China.

Publications Noted & Contributions

Zheng has authored numerous impactful publications in esteemed journals and conferences, addressing various aspects of IoT, blockchain, and related technologies. Notable contributions include works on privacy-preserving federated learning for IoT, optimized blockchain algorithms, and RFID network planning optimization. These publications demonstrate Zheng’s expertise and influence in shaping the discourse within the field.

  1. Improved multi-objective brain storm optimization algorithm for RFID network planning
    • Published in Wireless Networks in 2024, Volume 30, Issue 2, Pages 1055–1068.
    • Citations: 0
  2. Communication-Efficient Federated Learning with Adaptive Consensus ADMM
    • Published in Applied Sciences (Switzerland) in 2023, Volume 13, Issue 9, Page 5270.
    • Citations: 1
  3. CRBFT: An Optimized Blockchain Algorithm for Edge-Based IoT System
    • Published in IEEE Sensors Journal in 2022, Volume 22, Issue 23, Pages 23200–23208.
    • Citations: 2
  4. Random mating mayfly algorithm for RFID network planning
    • Published in Journal of China Universities of Posts and Telecommunications in 2022, Volume 29, Issue 5, Pages 40–50.
    • Citations: 0
  5. Mayfly Sparrow Search Hybrid Algorithm for RFID Network Planning
    • Published in IEEE Sensors Journal in 2022, Volume 22, Issue 16, Pages 16673–16686.
    • Citations: 6
  6. Multi-Objective Mayfly Optimization Algorithm Based on Dimensional Swap Variation for RFID Network Planning
    • Published in IEEE Sensors Journal in 2022, Volume 22, Issue 7, Pages 7311–7323.
    • Citations: 3
  7. N-port non-blocking optical router for network-on-chip
    • Presented at Asia Communications and Photonics Conference (ACP) in 2017.
    • Citations: 0
  8. N-port strictly non-blocking optical router based on Mach-Zehnder optical switch for photonic networks-on-chip
    • Published in Optics Communications in 2017, Volume 383, Pages 472–477.
    • Citations: 13
  9. RFID indoor localization based on relational aggregation
    • Presented at the 8th International Conference on Advanced Computational Intelligence (ICACI) in 2016, Pages 41–44.
    • Citations: 2
  10. Disparity estimation of 3-D mesh for stereo video coding
    • Presented at Applied Mechanics and Materials in 2014, Volume 571-572, Pages 835–839.
    • Citations: 0

Research Timeline

Zheng’s research trajectory spans over a decade, beginning with early contributions to fields such as image and video processing, and gradually transitioning towards IoT, blockchain, and related areas. Notable milestones include securing research grants, publishing impactful papers, and filing patents, all of which reflect Zheng’s continuous dedication to advancing knowledge and innovation in the field.