Nieshkumar Patel | Cyber Security | Best Researcher Award

Posted on by Best Paper 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.

 

 

Ramana Reddy | Electronics Engineering | Most Cited Article Award

Posted on by Best Paper Award

Dr. K.V. Ramana Reddy | Electronics Engineering | Most Cited Article Award

ASSOCIATE PROFESSOR at MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY, INDIA

Summary:

Dr. K.V. Ramana Reddy is an accomplished academician and researcher with over 8 years of experience in the field of Electrical Engineering. Currently serving as an Associate Professor at Malla Reddy College of Engineering and Technology (Autonomous), his expertise spans power electronics, electric drives, and renewable energy systems. Dr. Reddy is known for his innovative approach to research, which includes exploring advanced technologies in smart grids and electric vehicles. He has previously held leadership roles, including serving as H.O.D., and has been actively involved in mentoring and guiding students through their academic journeys.

Professional Profile:

👩‍🎓Education:

Ph.D. in Electrical Engineering, VIT University, Vellore (2020)

  • Research Focus: Power Electronics and Electric Drives

M.Tech. in Power Electronics & Electric Drives (PE&ED), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2011)

  • Sri Venkateswara College of Engineering and Technology (SVCET), Chittoor
  • Grade: 81%

B.Tech. in Electrical and Electronics Engineering (E.E.E.), Jawaharlal Nehru Technological University Anantapur (JNTU-A), A.P. (2009)

  • Sri Mekapati Raja Mohan Reddy Institute of Technology & Science, Udayagiri
  • Grade: 79%

🏢 Professional Experience:

Associate Professor and IIC Coordinator, Malla Reddy College of Engineering and Technology (Autonomous), January 2023 – Present

Associate Professor, Sri Sai Rajeswari Institute of Technology, Proddatur, March 2022 – January 2023

Associate Professor, Sri Sairam College of Engineering, Bangalore, November 2020 – February 2022

Research Scholar, VIT University, Vellore, December 2016 – August 2020

Assistant Professor & H.O.D (Ratified by JNTU-A), Gouthami Institute of Technology & Management for Women, Proddatur, June 2011 – December 2016

Research Interests:

  • Power Electronics
  • Electric Drives
  • Renewable Energy Systems
  • Smart Grids
  • Electric Vehicle Technologies

Dr. K.V. Ramana Reddy’s research primarily focuses on power electronics, electric drives, and renewable energy systems. His work includes the integration of advanced technologies in smart grids and electric vehicle systems, aiming to contribute to sustainable energy solutions. His dedication to academic research and innovative thinking is reflected in his journal publications and his role in guiding students as an academic leader.

Author Metric:

  • Publications: Several peer-reviewed journal articles in reputed journals.
  • Research Citations: A growing number of citations reflecting the impact of his work in the fields of power electronics and renewable energy systems.

Top Noted Publication:

“A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 17

“A review on grid codes and reactive power management in power grids with WECS”

  • Book Chapter: Advances in Smart Grid and Renewable Energy: Proceedings of ETAEERE-2016
  • Year: 2018
  • Citations: 15

“A heuristic approach to optimal crowbar setting and low voltage ride through of a doubly fed induction generator”

  • Journal: Energies
  • Year: 2022
  • Volume: 15, Issue 24
  • Article ID: 9307
  • Citations: 9

“A modified Whale Optimization Algorithm for exploitation capability and stability enhancement”

  • Journal: Heliyon
  • Year: 2022
  • Volume: 8, Issue 10
  • Citations: 9

“An adaptive neuro-fuzzy logic controller for a two-area load frequency control”

  • Journal: International Journal of Engineering Research and Application
  • Year: 2013
  • Pages: 989-995
  • Citations: 8

E.Laxmi Lydia | Computer Science | Best Researcher Award

Posted on by Best Paper Award

Prof. E.Laxmi Lydia, Computer Science, Best Researcher Award

Professor at Velagapudi Ramakrishna Siddhartha Engineering College, Siddhartha Academy of Higher Education (SAHE), India

Summary:

Dr. E. Laxmi Lydia is a seasoned educator and researcher with over 20 years of experience in teaching, training, and research. Currently serving as a Professor and Dean of R&D at Vignan’s Institute of Information Technology, she has significantly contributed to the academic and research community. Dr. Lydia is recognized for her exceptional interpersonal skills, commitment to student development, and active involvement in curriculum design and institutional accreditation processes. Her extensive expertise and numerous accolades, including the Best Researcher Award for five consecutive years, highlight her dedication to advancing knowledge and fostering innovation in the field of computer science and engineering.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science and Engineering (Year not specified)

Master of Computer Applications (MCA) (Year not specified)

Bachelor of Science (B.Sc.) (Year not specified)

🏢 Professional Experience:

Professor & Dean of R&D Vignan’s Institute of Information Technology (A), July 2019 – Present
Dr. E. Laxmi Lydia leads the Research and Development department, overseeing various research initiatives and fostering collaborations both within and outside the institution. She plays an integral role in curriculum development and significantly contributes to the institution’s growth and academic excellence.

Associate Professor Vignan’s Institute of Information Technology (A), 2015 – 2019
In her tenure as an Associate Professor, Dr. Lydia taught both undergraduate and postgraduate courses, guided numerous research projects, and actively participated in various academic committees. Her efforts were pivotal in advancing the research capabilities and academic standards of the institution.

Associate Professor Raghu Engineering College, 2011 – 2015
At Raghu Engineering College, Dr. Lydia conducted lectures, supervised research activities, and contributed significantly to the academic community through her publications and participation in conferences. Her work helped in elevating the research profile and educational quality of the college.

Assistant Professor Ravindra and Rajendra PG College for MCA, 2003 – 2009
During her tenure as an Assistant Professor, Dr. Lydia was responsible for teaching MCA students, developing comprehensive course materials, and mentoring students. Her dedication to teaching and mentorship helped shape the careers of many students in the field of computer science and engineering.

Honors & Certifications:

  • Oracle Certified (2009)
  • Microsoft Certified Solution Developer (MCSD)
  • Outcome-Based Education (OBE) Certified
  • Engineering Education Certification
  • EPICS-Engineering Projects in Community Services Certified
  • Reviewer for JEET Scopus Journal
  • Best Researcher Award (2018, 2019, 2020, 2021, 2022) at Vignan’s Institute of Information Technology
  • Distinguished Faculty in CSE-2021 by Ambitions, an educational entity

Professional Affiliations:

  • Member of the Board of Studies (BOS) at Vignan’s Institute of Information Technology
  • Member of the International Accreditation Council of Quality Education & Research (IACQER)
  • Member of the Computer Society of India

Research Interests:

Dr. Lydia’s research interests encompass a wide range of topics within computer science and engineering, including but not limited to:

  • Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Cybersecurity and Information Assurance
  • Software Engineering and Development
  • Internet of Things (IoT) and Smart Systems

Top Noted Publication:

An Optimal Least Square Support Vector Machine Based Earnings Prediction of Blockchain Financial Products

  • Authors: M Sivaram, EL Lydia, IV Pustokhina, DA Pustokhin, M Elhoseny, GP Joshi
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 120321-120330
  • Year: 2020
  • Citations: 97

Concept of Electronic Document Management System (EDMS) as an Efficient Tool for Storing Document

  • Authors: ATR Rosa, IV Pustokhina, EL Lydia, K Shankar, M Huda
  • Journal: Journal of Critical Reviews
  • Volume: 6
  • Issue: 5
  • Pages: 85-90
  • Year: 2019
  • Citations: 91

Synergic Deep Learning Model–Based Automated Detection and Classification of Brain Intracranial Hemorrhage Images in Wearable Networks

  • Author: EL Lydia
  • Journal: Personal and Ubiquitous Computing
  • Year: 2022
  • Citations: 90

Optimal Deep Learning Based Image Compression Technique for Data Transmission on Industrial Internet of Things Applications

  • Authors: B Sujitha, VS Parvathy, EL Lydia, P Rani, Z Polkowski, K Shankar
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Volume: 32
  • Issue: 7
  • Article: e3976
  • Year: 2021
  • Citations: 84

Data Encryption for Internet of Things Applications Based on Catalan Objects and Two Combinatorial Structures

  • Authors: MH Saračević, SZ Adamović, VA Miškovic, M Elhoseny, ND Maček, EL Lydia
  • Journal: IEEE Transactions on Reliability
  • Volume: 70
  • Issue: 2
  • Pages: 819-830
  • Year: 2020
  • Citations: 83

 

Syed Hamid Hussain Madni | IoT | Best Researcher Award

Posted on by Best Paper Award

Dr. Syed Hamid Hussain Madni, IoT, Best Researcher Award

Doctorate at University of Southampton Malaysia, Malaysia

Summary:

Dr. Syed Hamid Hussain Madni is a seasoned academic and researcher with extensive experience in computer science, specializing in resource scheduling optimization for cloud computing, network and telecommunication, and IT. He has served as an Assistant Professor at the University of Southampton Malaysia and a Senior Lecturer at Universiti Teknologi Malaysia. Dr. Madni has also held various research and teaching positions, contributing significantly to academic and practical advancements in his field. He is actively involved in the academic community, organizing events and workshops for postgraduate students and serving in multiple voluntary roles.

Professional Profile:

👩‍🎓Education:

PhD in Computer Science

  • Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Year: 2014 – 2020

MS in Computer Science (Networks and Telecommunication)

  • Federal Urdu University of Arts, Science & Technology, Islamabad
  • Year: 2007 – 2009

BS in Information Technology

  • Allama Iqbal Open University, Islamabad
  • Year: 2001 – 2005

Professional Experience:

Dr. Syed Hamid Hussain Madni has a rich professional background encompassing various roles in academia and research:

Dr. Madni is currently serving as an Assistant Professor at the School of Electronic and Computer Science, University of Southampton Malaysia. In this capacity, he is involved in research, teaching, and learning activities, contributing to the advancement of knowledge in the field of computer science.

Previously, he held the position of Senior Lecturer (Assistant Professor) at the Faculty of Computing, Universiti Teknologi Malaysia. Here, he was engaged in research, teaching, and learning endeavors, focusing on areas such as cloud computing, network optimization, and IT infrastructure.

Dr. Madni has also contributed to research as a Post-Doctorate researcher at the Faculty of Computing, Universiti Teknologi Malaysia, where he worked on projects related to resource scheduling optimization for cloud computing.

Additionally, he has served as a Research Assistant at the Federal Urdu University of Arts, Science & Technology, Islamabad, fulfilling various administrative and academic roles.

Dr. Madni’s professional journey includes part-time teaching positions at Federal Urdu University of Arts, Science & Technology, Islamabad, and Government Institute of Information Technology, Kohatti Bazar, Rawalpindi. He has taught courses in programming languages, e-commerce, and web programming, among others.

Furthermore, Dr. Madni has actively participated in academic and student organizations, holding roles such as General Secretary and Treasurer for various societies and volunteering his time to organize events and workshops for postgraduate students.

Research Interest:

Dr. Syed Hamid Hussain Madni’s research interests encompass the following areas:

Publications Top Noted: 

Mobile Cloud Computing: Taxonomy and Challenges

  • Authors: A. Aliyu, A.H. Abdullah, O. Kaiwartya, S.H. Hussain Madni, U.M. Joda, A. Ado, …
  • Journal: Journal of Computer Networks and Communications
  • Year: 2020
  • Pages: 1-23
  • Citations: 39

A Survey of League Championship Algorithm: Prospects and Challenges

  • Authors: S.M. Abdulhamid, M.S.A. Latiff, S.H.H. Madni, O. Oluwafemi
  • Journal: arXiv preprint arXiv:1603.09728
  • Year: 2015
  • Citations: 27

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

  • Authors: S.H.H. Madni, J. Ali, H.A. Husnain, M.H. Masum, S. Mustafa, J. Shuja, M. Maray, …
  • Journal: Frontiers in Psychology
  • Year: 2022
  • Pages: 13, 915596
  • Citations: 19

Data Redundancy Reduction for Energy-Efficiency in Wireless Sensor Networks: A Comprehensive Review

  • Authors: G. Sahar, K.B.A. Bakar, F.T. Zuhra, S. Rahim, T. Bibi, S.H.H. Madni
  • Journal: IEEE Access
  • Year: 2021
  • Volume: 9
  • Pages: 157859-157888
  • Citations: 15

Framework for Agile Development Using Cloud Computing: A Survey

  • Authors: M. Younas, D.N.A. Jawawi, I. Ghani, M.A. Shah, M.M. Khurshid, S.H.H. Madni
  • Journal: Arabian Journal for Science and Engineering
  • Year: 2019
  • Volume: 44
  • Pages: 8989-9005
  • Citations: 10

Vrushank Mistry | Building Automation Award | Best Researcher Award

Posted on by Best Paper Award

Mr. Vrushank Mistry, Building Automation Award, Best Paper Award

Vrushank Mistry at Air Systems, Inc, United States

Summary:

Mr. Vrushank Mistry is an experienced BAS Field Engineer with a demonstrated history of working in the mechanical or industrial engineering industry. With over six years of professional experience, he specializes in the commissioning and programming of HVAC control systems. Currently employed at Air Systems Inc. in California, Mr. Mistry has played pivotal roles in major projects such as the Google Bayview Campus and multiple buildings on Tasman Drive in San Jose. Prior to his current role, he served as a Controls Project Engineer at ABM Systems Inc. in New York, where he honed his expertise on significant projects including the Newark Airport Terminal 1 and several high-rise buildings in New York. Mr. Mistry holds a Master’s Degree in Mechanical Engineering from the City University of New York and is certified as a Project Management Professional (PMP). His research interests lie in building automation, HVAC control systems, energy efficiency, indoor air quality, IoT technologies, and sensor advancements. Through his work and research, Mr. Mistry is dedicated to advancing sustainable and efficient environmental controls in building operations.

Professional Profile:

Google Scholar Profile

👩‍🎓Education & Qualification:

Professional Experience:  

Mr. Vrushank Mistry has amassed over six years of extensive professional experience in the field of building automation and HVAC control systems. Currently serving as a BAS Field Engineer at Air Systems Inc. in California since September 2021, he specializes in the commissioning and programming of various HVAC control systems. In this capacity, he has played a pivotal role in overseeing key projects such as the Google Bayview Campus and multiple buildings on Tasman Drive in San Jose, CA. His responsibilities encompass a wide range of tasks, including point-to-point checks, DDC programming, BMS database management, and network configuration for HVAC systems. Prior to his current role, Mr. Mistry served as a Controls Project Engineer at ABM Systems Inc. in New York from August 2016 to September 2021. During this tenure, he gained valuable expertise while working on significant projects such as the Newark Airport Terminal 1 and several high-rise buildings in New York. His responsibilities included project management, site commissioning, preventive maintenance, and emergency troubleshooting, highlighting his proactive approach and leadership skills in managing complex projects.

Research Interest:

Mr. Vrushank Mistry’s research interests primarily revolve around building automation and HVAC control systems. He is particularly interested in exploring innovative technologies and strategies to enhance energy efficiency, optimize indoor air quality, and improve overall environmental sustainability in building operations. Additionally, he is interested in researching the integration of IoT technologies, sensor advancements, and data analytics to further enhance the performance and functionality of building management systems.

Publication Top Noted:

Title: Demand Response and HVAC Controls in Smart Grid Integration

  • Author: V. Mistry
  • Journal: Journal of Biosensors and Bioelectronics Research
  • Volume: 4
  • Issue: 4
  • Pages: 1-5
  • Year: 2022

Title: Use of Artificial Intelligence in Optimizing HVAC

  • Author: V. Mistry
  • Journal: International Journal of Science and Research (IJSR)
  • Volume: 10
  • Issue: 4
  • Pages: 1372-1378
  • Year: 2021

Title: Integrating Renewable Energy Sources with HVAC Control Systems

  • Author: V. Mistry
  • Journal: International Journal of Science and Research (IJSR)
  • Volume: 9
  • Issue: 12
  • Pages: 1830-1835
  • Year: 2020

Title: Environmental Impact of HVAC Systems and Mitigation through Automation

  • Author: V. Mistry
  • Journal: International Journal of Science and Research (IJSR)
  • Volume: 9
  • Issue: 11
  • Pages: 1701-1706
  • Year: 2020

Title: Role of Big Data in Enhancing HVAC Operational

  • Author: V. Mistry
  • Journal: International Journal of Science and Research (IJSR)
  • Volume: 9
  • Issue: 4
  • Pages: 1791-1795
  • Year: 2020

 

 

Wadha Abdullah Al-Khater | Computer Science | Best Researcher Award

Posted on by Best Paper Award

Dr. Wadha Abdullah Al-Khater, Computer Science, Best Researcher Award

Doctorate at Qatar University, Saudi Arabia

Summary:

Dr. Wadha Abdullah Al-Khater is a prominent researcher in the field of cybersecurity. She has contributed significantly to the development of malware detection techniques using deep learning models and innovative methodologies. With expertise in cybercrime detection and radio frequency identification methods, Dr. Al-Khater has published several articles and conference papers that have garnered considerable attention in the academic community. Her work has been recognized for its comprehensive review of cybercrime detection techniques, providing valuable insights into addressing contemporary challenges in cybersecurity.

Professional Profile:

Scopus Profile

👩‍🎓Education & Qualification:

PhD in Cyber Security (In Progress)

  • Qatar University
  • Start Date: January 29, 2024

Master’s Degree in Computer Science

  • King Saud University
  • Graduation Date: February 25, 2014
  • GPA: 4.62

Bachelor’s Degree in Computer Science

  • College of Education for Girls at Jubail City, King Faisal University
  • Graduation Date: July 2006
  • Honors: Excellent with Honors

Professional Experience:         

Dr. Wadha Abdullah Al-Khater has amassed a rich academic background with diverse roles across various institutions:

Lecturer at CCQ

  • Duration: August 30, 2016 – Present

Graduate Assistantship at Qatar University

  • Duration: March 31, 2016 – August 31, 2016

Lecturer at University Of Dammam

  • Duration: Since October 2008 (corresponding to 1429 H in the Hijri calendar) until present

Teaching Assistant at University Of Dammam

  • Duration: August 16, 2006 (corresponding to 8/1427 H) – June 13, 2008 (corresponding to 6/1429 H in the Hijri calendar)

IT Instructor

  • Conducted a summer course in the Prince Mohammad Bin Fahd Bin Abdul-Aziz Al Sa’ud program aimed at qualifying and employing Saudi youth from May 21, 2007 to July 1, 2007 (corresponding to 21/5/1427 H – 1/7/1427 H).
  • Taught ICDL Certification at Eqra school in Jubail in 1427 H.
  • Compiled a one-month course at University Of Dammam on combining database with Visual Basic in 1430 H.
  • Compiled courses at University Of Dammam in Photoshop and Successful Strategies for Students Studying aimed at preparatory year students.

Honors and awards:

Dr. Wadha Abdullah Al-Khater’s academic excellence was recognized with First Class Honors in the B.Sc. Program at the College of Education for Girls in Jubail City, which is affiliated with King Faisal University. This achievement underscores her dedication and exceptional performance in her academic pursuits.

 Research Interest:
  • Cybersecurity
  • Information Technology
  • Educational Technology
  • Computer Science Education
  • Digital Learning
  • E-Learning
  • Database Systems
  • Visual Basic Programming
  • Multimedia Technology
  • Educational Strategies and Methods

Publication Top Noted:

Using 3D-VGG-16 and 3D-Resnet-18 deep learning models and FABEMD techniques in the detection of malware

  • Authors: W. Al-Khater, S. Al-Madeed
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • Volume: 89
  • Pages: 39–52

Comprehensive review of cybercrime detection techniques

  • Authors: W.A. Al-Khater, S. Al-Maadeed, A.A. Ahmed, A.S. Sadiq, M.K. Khan
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 137293–137311
  • Paper ID: 9146148
  • Citation count: 54

A review on Radio Frequency Identification methods

  • Authors: W. Al-Khater, S. Kunhoth, S. Al-Maadeed
  • Conference: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
  • Year: 2017
  • Pages: 1751–1758
  • Paper ID: 7986549
  • Citation count: 5

 

 

Zakria Qadir | Computer Engineering

Posted on by Best Paper Award
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.