Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

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Dr. Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

Dr. Muhammad Tahir Naseem | Electronic Engineering | Research Professor at Yeungnam University | South Korea

Dr. Muhammad Tahir Naseem is a leading academic and researcher in the field of computer science, with a specialization in artificial intelligence, computer vision, and image processing. His work is recognized internationally for contributing to cutting-edge solutions in medical diagnostics, intelligent systems, and secure image communication. As a faculty member at Yeungnam University, Dr. Muhammad Tahir Naseem continues to advance knowledge through interdisciplinary research, impactful publications, and academic mentorship. With a strong foundation in theoretical and applied domains, he has consistently demonstrated excellence across various research activities and collaborative networks. His reputation for precision, innovation, and scholarly engagement reflects his commitment to both scientific inquiry and societal benefit.

Academic Profile:

Google Scholar

Education:

Dr. Muhammad Tahir Naseem completed his doctoral studies in Electrical and Computer Engineering, focusing on intelligent diagnostic systems and secure signal processing methodologies. His academic journey has been rooted in analytical depth and interdisciplinary orientation, combining core principles of artificial intelligence with real-world applications in healthcare technologies and multimedia systems. Prior to his doctoral research, he obtained strong foundational training in computing and electronics, equipping him with the technical competencies needed to work across a wide range of academic and industrial projects. His educational background laid the groundwork for a successful research career, which has since evolved through both theoretical development and experimental validations.

Experience:

Dr. Muhammad Tahir Naseem possesses extensive teaching and research experience in both national and international institutions. He has held academic roles that involve supervising graduate-level research, delivering specialized courses, and coordinating collaborative initiatives across departments and research labs. He has worked closely with multidisciplinary teams to execute research projects involving medical imaging, wireless communication, and intelligent systems. Dr. Muhammad Tahir Naseem’s academic service also includes peer reviewing for indexed journals and contributing to scientific program committees for international conferences. His experience has enabled him to develop and guide solutions that integrate AI models with practical outcomes in healthcare, communication systems, and data security.

Research Interest:

Dr. Muhammad Tahir Naseem’s primary research interests span artificial intelligence, computer vision, signal and image processing, and intelligent diagnosis. His current focus is on applying deep learning models to medical imaging for disease detection and prognosis, particularly in the areas of histopathology and pathological gait analysis. He is also exploring advancements in resource allocation for wireless communication systems using neural networks and fuzzy logic. Another area of interest includes secure image watermarking and digital authentication techniques using chaos theory and residue number systems. His interdisciplinary research is aimed at improving real-time diagnostic capabilities, data integrity, and resource efficiency in complex systems.

Award:

Dr. Muhammad Tahir Naseem has been consistently recognized for his academic excellence and research contributions in the field of intelligent systems. His work in medical image analysis and adaptive communication networks has earned appreciation from peers and international collaborators. He has been nominated for awards that acknowledge high-impact research, publication quality, and innovation in computing technologies. His leadership in collaborative projects and dedication to solving real-world problems through AI-driven solutions positions him as a strong candidate for academic and research-based honors. His research outputs not only contribute to academic knowledge but also deliver tangible benefits to healthcare and digital communication systems.

Selected Publications:

  • “Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing” – Published in 2022, with 241 citations

  • “Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter” – Published in 2020, with 36 citations

  • “Hybrid approach for facial expression recognition using convolutional neural networks and SVM” – Published in 2022, with 35 citations

  • “Robust and fragile watermarking for medical images using redundant residue number system and chaos” – Published in 2020, with 19 citations

Conclusion:

Dr. Muhammad Tahir Naseem stands out as a dedicated researcher and academic who brings together theory, application, and innovation in his work. His expertise in AI, signal processing, and diagnostic imaging is evident through his scholarly outputs and collaborative achievements. Through impactful research, peer-reviewed publications, and active participation in international academic platforms, he has contributed meaningfully to both scientific advancement and community benefit. Dr. Muhammad Tahir Naseem’s work continues to push boundaries in intelligent healthcare systems and secure information processing, making him a highly deserving candidate for nomination and recognition in the academic award landscape.

 

 

Ahmed Ibrahim | Electrical Engineering | Best Researcher Award

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Mr . Ahmed Ibrahim | Electrical Engineering | Best Researcher Award 

Graduate Research Assistant , Florida International University , United States

Ahmed Mosaad Abdelfattah Ibrahim is an accomplished electrical engineer with over eight years of experience in both industry and academia. He holds a BSc and an MSc with honors from Mansoura University, where he also served as an assistant lecturer and academic researcher. Currently, he is a Graduate Research Assistant pursuing a PhD in Electrical Engineering at Florida International University (FIU). Ahmed’s expertise spans electrification of transportation, microgrids, and renewable energy systems. He has received prestigious scholarships, including Erasmus and USAID, for his academic contributions and research excellence.

Profile

Google Scholar

Education 🎓

  • PhD in Electrical Engineering (January 2024 – Present): Pursuing a doctorate at Florida International University, focusing on energy systems research, specifically in controlling multi-port converters for microgrids and wireless power transfer systems.
  • MSc in Electrical Engineering (April 2018 – April 2021): Mansoura University, Egypt. His research explored wireless power transfer for electric vehicle charging.
  • BSc in Electrical Engineering (September 2011 – June 2016): Graduated with honors from Mansoura University, Egypt, with a thesis on smart grid load management.
  • High School: Graduated with a GPA of 3.92/4, ranking first in both school and state.

Experience 💼

  • Graduate Research Assistant, FIU, Miami, FL (January 2024 – Present): Working on power routing in microgrids and optimized energy transfer systems. Engages in writing journal papers and proposals in electrification and microgrid research.
  • Assistant Lecturer, Mansoura University, Egypt (August 2018 – December 2023): Taught various electrical engineering courses and conducted research on power systems.
  • Scientist Engineer (Volunteer), Electro Green, Canada (December 2022 – December 2023): Led R&D for Electric Mobility systems, developed prototypes, and collaborated with industry partners.
  • Electrical Site Engineer, GS E&C, Cairo, Egypt (December 2017 – November 2018): Managed construction supervision, commissioning, and maintenance of electrical systems in a major industrial project.

Research Interests 🔬

Ahmed’s research focuses on:

  1. Transportation Electrification
  2. Wireless Power Transfer Systems
  3. Hybrid Microgrid Control and Stability
  4. Magnetic Energy Routers
  5. Renewable Energy Systems
  6. Battery Management Systems

Awards 🏆

  • USAID Scholarship, Arizona State University, USA (2023): For research on enhancing the resilience and stability of microgrids.
  • Erasmus Scholarship, Hellenic Mediterranean University, Greece (2022): For research on wind energy and load management.
  • Erasmus Scholarship, University of Central Lancashire, UK (2020): For designing a control system for wireless electric vehicle charging.

Publications 📚

  • “Analysis of Inductive Characteristics for various Helical and Spiral Coil Configurations”, Mansoura Engineering Journal, Mar. 2021, Link.
  • “Hardware Implementation of Hybrid Data Driven-PI Control Scheme for Resilient Operation of Standalone DC Microgrid”, Batteries, 2024, Link.

         “State-of-the-Art Electric Vehicle Modeling: Architectures, Control, and Regulations”, Electronics, 2024, Link.

Conclusion

Ahmed Mosaad Abdelfattah Ibrahim presents a strong case for the “Best Researcher Award” due to his comprehensive academic background, diverse research experience, and leadership in both industry and academia. His international exposure and contributions to key areas of electrical engineering research further strengthen his candidacy. Focusing on a specialized area of research, enhancing his funding portfolio, and expanding his research output could further improve his prospects for the award. Overall, Ahmed demonstrates substantial potential and achievements, making him a worthy candidate for consideration.

Aziz Hassan Shekh-Abed | Electrical Engineering and Computer Engineering | Best Researcher Award

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Dr. Aziz Hassan Shekh-Abed | Electrical Engineering and Computer Engineering | Best Researcher Award

Lecturer | Ruppin Academic Center | Israel

Short Bio 📚

Aziz Shekh-Abed is a dedicated academic professional with a robust background in technology education and engineering. Currently, a lecturer at Ruppin Academic Center’s Department of Electrical and Computer Engineering, Aziz has a track record of inspiring students through engaging lectures and innovative teaching methods. His career is marked by a strong commitment to enhancing student comprehension and fostering an environment conducive to learning.

Profile 

ORCID

Education 🎓

Aziz Shekh-Abed’s educational journey is both extensive and impressive. He earned his BScTE in Technology Education from Tel Aviv University in 2001, followed by an MA in Education from the same institution in 2006. In 2020, he completed his PhD at the Technion – Israel Institute of Technology, specializing in Education in Science and Technology. His doctoral research focused on systems thinking and abstract thinking among high-school students.

Experience 💼

Aziz’s teaching career spans over two decades. He has taught at various institutions, including Amal Science and Technology College and Nuns’ School in Nazareth. Since 2021, he has been a lecturer at Ruppin Academic Center, where he has also served as the Coordinator of the Retention Committee. His experience includes developing course materials, mentoring students, and participating in academic conferences worldwide.

Research Interest 🔬

Aziz’s research interests lie in the intersection of technology education, systems thinking, and abstract thinking. He is particularly interested in how these cognitive skills can be enhanced through project-based learning and the integration of dedicated tasks. His work often explores the impact of innovative teaching methods on student performance and learning outcomes.

Awards 🏆

Throughout his academic journey, Aziz has received several accolades. Notably, he was awarded a PhD scholarship from 2016 to 2020. Additionally, he has received letters of appreciation for mentoring high school students who won various project competitions, highlighting his impact on the educational community.

Publications 📄

Aziz Shekh-Abed has an impressive portfolio of publications. Here are some notable works:

  1. Interrelations between systems thinking and abstract thinking: the case of high-school electronics students – European Journal of Engineering Education, 2021.
  2. Promoting systems thinking and abstract thinking in high-school electronics students: Integration of Dedicated Tasks into Project-Based Learning – International Journal of Engineering Education, 2021.
  3. Challenges and opportunities for higher engineering education during the COVID-19 Pandemic – International Journal of Engineering Education, 2022.
  4. Challenges to Systems Thinking and Abstract Thinking Education During the COVID-19 Pandemic – International Journal of Engineering Education, 2023.
  5. Relationships between Reflection Ability and Learning Performance of junior electronics engineering students – International Journal of Engineering Education, 2023.