Nieshkumar Patel | Cyber Security | Best Researcher Award

Mr. Nimeshkumar Patel | Cyber Security | Best Researcher Award

Sr Network Engineer at Humana Inc, United States 

Summary:

Nimeshkumar Patel is a seasoned network architect and researcher with a rich background in designing secure network infrastructures and implementing cloud solutions. With a solid technical foundation and a commitment to enhancing cybersecurity practices, he has made significant contributions to the field, particularly in developing secure access service edge (SASE) architectures and exploring the potential of quantum computing in information security. Nimesh is also an active contributor to academic literature, having authored multiple papers addressing critical challenges in network security and smart technology integration.

Professional Profile:

👩‍🎓Education:

  • Bachelor of Engineering in Electronics and Communication
  • Quantum Computing Fundamentals & Quantum Computing Algorithms for Cybersecurity, Chemistry, and Optimization
    Massachusetts Institute of Technology xPro, Cambridge, MA (09-2020 to 12-2020)

🏢 Professional Experience:

Nimeshkumar Patel has over 20 years of extensive hands-on experience in network, security, and cloud administration. He currently serves as a Senior Network Architect at Humana Inc., where he is responsible for designing and implementing solutions in data centers, pharmacies, and clinics, including the deployment of a Data Center with EVPN VXLAN Fabric and the design of SASE architectures. Previously, he worked as a Network Engineer V at Synchronoss Technologies Inc., focusing on SD-WAN solutions and cloud migrations. Nimesh has held significant positions in various companies, including ATOS/McGraw-Hill Education, AXIS Telecom in Indonesia, and BT Global Services with NHS UK. His expertise encompasses Cisco, Juniper, Palo Alto, and cloud platforms (AWS, OCI, Azure), with a proven track record in troubleshooting, network design, and implementation across multi-platform environments.

Research Interests:

Nimesh’s research focuses on the intersection of quantum computing and cybersecurity, exploring the application of advanced technologies in enhancing network security, particularly in healthcare information systems. He is also interested in the development of sustainable smart cities through IoT and data analytics.

Top Noted Publication:

  • SECURE ACCESS SERVICE EDGE (SASE): Evaluating the Impact of Converged Network Security Architectures in Cloud Computing
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 11
    • Issue: 3
    • Pages: e703-e714
    • Citations: 41
    • Year: 2024
  • QUANTUM CRYPTOGRAPHY IN HEALTHCARE INFORMATION SYSTEMS: Enhancing Security in Medical Data Storage and Communication
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 9
    • Issue: 8
    • Pages: g193-g202
    • Citations: 33
    • Year: 2022
  • Transforming Incident Responses, Automating Security Measures, and Revolutionizing Defence Strategies through AI-Powered Cybersecurity
    • Authors: H. M. Kumar Shukla, N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 11
    • Issue: 3
    • Citations: 23
    • Year: 2024
  • SUSTAINABLE SMART CITIES: Leveraging IoT and Data Analytics for Energy Efficiency and Urban Development
    • Authors: N. Patel
    • Journal: Journal of Emerging Technologies and Innovative Research
    • Volume: 8
    • Issue: 3
    • Pages: 313-219
    • Citations: 18
    • Year: 2021
  • A COMPARATIVE STUDY OF INTERPRETABLE MACHINE LEARNING MODELS FOR ANALYZING HEALTHCARE DATA
    • Authors: K. Shukla, N. Patel, H. Mistry
    • Journal: International Journal of Emerging Technologies and Innovative Research
    • Citations: 6
    • Year: 2024

Conclusion:

Mr. Nimeshkumar Patel stands out as a strong candidate for the Best Researcher Award due to his extensive experience in network architecture, his pioneering research in cybersecurity, and his contributions to critical areas such as quantum computing and smart technology integration. His solid professional background, combined with significant research contributions, underscores his commitment to enhancing cybersecurity practices.

With a few improvements in publication outreach and diversification of research themes, Mr. Patel has the potential to further enhance his impact on the field. His proactive approach to solving real-world cybersecurity challenges positions him as a valuable contributor to both academia and industry, making him deserving of the Best Researcher Award.

 

 

Zakria Qadir | Computer Engineering

Dr. Zakria Qadir: Leading Researcher in Computer Engineering

🎉 Congratulations Dr. Zakria Qadir on Winning the Most Reader’s Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

🔬 Research Focus: Enthusiastic PostDoc Research Associate at UNSW Artificial Intelligence Institute, dedicated to pushing boundaries in DIGITECH. Research spans Artificial Intelligence, Machine Learning, Wireless Communication, IoT, and Cybersecurity. Highly cited Young STEM Researcher.

🎓 Education:

  • Ph.D. in Electrical and Computer Engineering (Western Sydney University).
    • Research: Smart UAVs for disaster relief, AI, ML, IoT applications.
  • Master’s in Sustainable Environment and Energy System (METU).
    • Thesis: Neural Network-Based Prediction Algorithms for Hybrid PV-Wind System.
  • Bachelor of Science in Electronic Engineering (UET Taxila).
    • Gold Medal Award for securing First Position.

🏆 Achievements:

  • Google Scholar: Citations 1000+, H-Index 17, Total Papers 40, Cumulative Impact Factor >100+.
  • Keynote Speaker at Core A conferences.
  • Fully Funded ARC Research Discovery Scholarship for Ph.D.
  • Various scholarships and awards for academic excellence.

👨‍💻 Professional Experience:

  • Post-Doc Research Associate at UNSW, collaborating with the Department of Defence Australia.
  • Research: Drones-aided AI Algorithms for Battlefield Scenarios.
  • Research Assistant at UNSW, collaborating with Cisco, focusing on Intelligent Transportation Systems.
  • Sessional Lecturer at Victoria University, teaching Data Science, AI, Computer Science, Business Analysis, Networking.
  • Casual Lecturer at Western Sydney University (WSU) and Melbourne Institute of Technology (MIT).
  • Lecturer at National University of Technology, teaching IoT, AI, and Machine Learning.
  • Senior Research Scientist at Imam Abdulrahman Bin Faisal University.
  • Graduate Teaching Assistant at Middle East Technical University (METU).
  • Lab Engineer at National University of Science and Technology (NUST).

Publication Top Noted:

  • Towards 6G Internet of Things: Recent advances, use cases, and open challenges
  • A Hybrid Deep Learning Approach for Bottleneck Detection in IoT
  • A strong construction of S-box using Mandelbrot set an image encryption scheme
  • Resource optimization in UAV-assisted wireless networks—A comprehensive survey
  • Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment

📚 Skills:

  • Programming Languages: MATLAB, Python, C++.
  • Metaheuristic Algorithms: PSO, ACO, DGBCO, GWO.
  • Machine Learning (AI): Deep learning, Feature Extraction, CNN, FRNN, YOLO.
  • Understanding of Arduino, Raspberry Pi, Proteus, Lucid Chart, VOSViewer, LaTeX.

🎓 Teaching Experience:

  • Lectured and supervised students at various universities.
  • Lesson planning, preparation, and research in diverse areas.

🏅 Honors and Awards:

  • Graduate Teaching Assistant Scholarship at METU.
  • Gold Medal Award for securing First Position in Bachelors.
  • Best Engineering Project Award at UET Taxila.

🏆 Funding and Recognition:

  • Awarded ARC Research Discovery Scholarship, Research Candidate Support Funding, Teaching Assistant Scholarships, Travel Grants, and Research Grants.
  • Recognition from Core A conferences and Australia’s Natural Hazard Research.

 

The paper “A Prototype of an Energy-Efficient MAGLEV Train: A Step Towards Cleaner Train Transport” focuses on the development and evaluation of a prototype Magnetic Levitation (MAGLEV) train with an emphasis on energy efficiency. Below are some key points and important content from the paper:

Abstract:

  • Focus: Development and assessment of an energy-efficient MAGLEV train prototype.
  • Goal: Contributing to cleaner and more sustainable train transportation.

Introduction:

  • Motivation: Addressing the need for environmentally friendly and energy-efficient transportation solutions.
  • Importance of MAGLEV: Highlighting the advantages of MAGLEV technology, such as reduced friction and energy consumption.

Key Features of the MAGLEV Prototype:

  • Energy Efficiency Measures: Description of features and technologies incorporated to enhance energy efficiency.
  • Magnetic Levitation System: Explanation of the MAGLEV technology used in the prototype.
  • Propulsion System: Details about the propulsion mechanism and its role in energy savings.

Performance Evaluation:

  • Energy Consumption Analysis: Quantitative assessment of energy consumption compared to traditional train systems.
  • Environmental Impact: Discussion on the potential reduction in carbon footprint and environmental benefits.

Results and Findings:

  • Energy Savings Percentage: Presentation of the achieved energy savings compared to conventional trains.
  • Operational Stability: Evaluation of the MAGLEV prototype’s stability during operations.

Conclusion:

  • Significance: Emphasizes the significance of developing energy-efficient transportation solutions.
  • Future Implications: Discusses the potential widespread adoption of MAGLEV technology for cleaner and sustainable train transport.

Impact and Citations:

  • Citation Count: Indicates the paper’s impact and recognition within the research community.
  • Reader’s Count: Reflects the broader readership and interest in the paper’s findings.

Innovation and Contribution:

  • Novelty: Highlights any novel approaches, technologies, or methodologies introduced in the MAGLEV prototype.
  • Contribution to the Field: Describes how the research contributes to advancements in cleaner and energy-efficient transportation.

This summary provides a glimpse into the essential content of the paper, focusing on its goals, methodology, findings, and impact on the field of transportation and energy efficiency.