Jafar Abdollahi | Engineering | Innovative Research Award

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Innovative Research Award

Jafar Abdollahi
Affiliation Islamic Azad University
Country Iran
Scopus ID 57222869366
Documents 25
Citations 444
h-index 11
Subject Area Engineering
Event International Academic Achievements & Awards

Jafar Abdollahi
Islamic Azad University, Iran

Jafar Abdollahi is an Artificial Intelligence researcher and Ph.D. student at the Department of Computer Engineering, Islamic Azad University, Central Tehran Branch, Iran. His research integrates machine learning, deep learning, computer vision, biomedical image analysis, medical informatics, IoT-enabled healthcare, and predictive analytics. His work has contributed to healthcare decision-support systems, intelligent diagnosis, and clinical outcome prediction using advanced computational models.[1]

Abstract

Jafar Abdollahi has established an active research profile in Artificial Intelligence with emphasis on medical image analysis, disease prediction, explainable AI, healthcare informatics, and intelligent clinical decision support. His publications span leading journals including Expert Systems with Applications, Biomedical Signal Processing and Control, SN Computer Science, and Archives of Breast Cancer. His research demonstrates practical implementation of deep learning, ensemble learning, transformer architectures, and optimization algorithms for healthcare applications.[2]

Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Biomedical Image Analysis, Medical Informatics, IoT Healthcare, Disease Prediction, Data Science, Neural Networks.

Introduction

His academic career focuses on developing intelligent computational models capable of improving healthcare delivery through automated diagnosis and predictive analytics. His interdisciplinary collaborations involve researchers from the United States, Italy, Japan, Nigeria, Turkey, and the United Arab Emirates, illustrating the international relevance of his research activities.[3]

Research Profile

  • Machine Learning and Deep Learning
  • Medical Image Processing
  • Computer Vision
  • Biomedical AI
  • Healthcare Data Science
  • Predictive Analytics

Research Contributions

His research has produced advanced AI models for breast cancer detection, wound classification, diabetes prediction, heart disease diagnosis, COVID-19 detection, lung cancer analysis, pharmacological outcome prediction, and smart healthcare systems integrating IoT technologies. His work combines transformer architectures, ensemble learning, genetic algorithms, and explainable AI methods for clinically relevant applications.[4]

Publications

The researcher has authored more than 120 scientific publications including ISI, Scopus-indexed journals, IEEE conference papers, international conference proceedings, arXiv publications, book chapters, and translated academic books. His citation metrics include approximately 1,095 citations, an h-index of 18, and an i10-index of 22.[5]

Research Impact

His scientific contributions have influenced healthcare AI, intelligent diagnostics, and biomedical engineering. Recognition by the AD Scientific Index among Iran’s highly cited researchers further reflects the visibility of his research within the international scientific community.

Award Suitability

Considering his publication record, international collaborations, interdisciplinary research, citation impact, invited keynote presentations, industrial AI projects, and continuous innovation in intelligent healthcare technologies, Jafar Abdollahi demonstrates strong qualifications for recognition under the Innovative Research Award category.

Conclusion

Jafar Abdollahi represents a new generation of Artificial Intelligence researchers combining methodological innovation with practical healthcare applications. His contributions to machine learning, medical imaging, and intelligent decision-support systems continue to advance computational healthcare research while supporting international scientific collaboration.

External Links

References

  1. Abdollahi, J., & Aref, S. (2024). Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms. SN Computer Science, 5(2). Springer. https://link.springer.com/article/10.1007/s42979-023-02545-y
  2. Mousa, R., Rezaei, B., Mahmoudi, L., & Abdollahi, J. (2025). Multi-modal wound classification using wound image and location by Swin Transformer and Transformer. Expert Systems with Applications.https://doi.org/10.1016/j.eswa.2025.127077
  3. Abdollahi, J., & Nouri-Moghaddam, B. (2022). Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction. Iran Journal of Computer Science. https://link.springer.com/article/10.1007/s42044-022-00100-1
  4. Abdollahi, J., Nouri-Moghaddam, B., & Ghazanfari, M. (2021). Deep Neural Network Based Ensemble Learning Algorithms for the Healthcare System (Diagnosis of Chronic Diseases). arXiv.https://arxiv.org/abs/2103.08182
  5. DBLP Computer Science Bibliography. Jafar Abdollahi – Publication Profile.
    https://dblp.org/pid/197/3784.html

Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

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Mr.Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

MS Scholar Capital University of Science and Technology Pakistan

Muhammad Noman Shahid is a dedicated Mechanical Engineer currently pursuing an MS in Mechanical Engineering at CUST, Islamabad. With a CGPA of 4.00/4.00 and a solid foundation in mechanical engineering principles, Muhammad’s expertise spans FEA, CFD, topological optimization, and CAD modeling. His academic and professional journey reflects his commitment to innovation and excellence in the engineering field.

Profile

ORCiD

Education

🎓 Muhammad Noman Shahid is completing his MS in Mechanical Engineering at Capital University of Science and Technology (CUST), Islamabad, with an expected graduation date of July 2025 and a perfect CGPA of 4.00/4.00. He also holds a BS in Mechanical Engineering from the same institution, achieved from 2019 to 2023, where he worked on the “Design and Development of Continuous Passive Motion (CPM) Machine for Post Knee Surgery Rehabilitation” as his final year design project.

Experience

💼 Muhammad’s professional experience includes an internship at SABRO Air Conditioning Pakistan in Islamabad, where he gained over 200 hours of hands-on experience in various HVAC manufacturing processes. His contributions included optimizing production time, ensuring product integrity, and enhancing overall HVAC system efficiency. Muhammad has also demonstrated leadership in numerous extracurricular roles, such as Focal Person at Pakistan Nuclear Society and President Media at Al-Muhandis Society, CUST.

Research Interests

🔬 Muhammad’s research interests lie in mechanical engineering, focusing on fluid dynamics, computational modeling, topological optimization, and biomechanics. He is particularly passionate about developing innovative solutions in tissue engineering and energy storage systems.

Awards and Funding

🏅 Muhammad has received several accolades for his academic excellence and innovative projects. In 2024, he achieved the Chancellor’s Honor Roll and secured the 3rd position in Mechanical Engineering (Entrepreneurship) at the 2nd Federal Engineering Capstone Expo. He also received IGNITE funding under the National Technology Fund’s Grossroot ICT Research Initiative for his final year design project.

Publications

📚 Muhammad has published significant research work, including:

  1. “Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering,” Designs, vol. 8, no. 4, 2024. Link
    • Cited by: Articles in tissue engineering and fluid dynamics journals.
  2. “A Biomechanical Approach for Computational Assessment of Heavy Payload Robots in Human-Robot Accident Scenarios for Industry 4.0,” Nanotechnology Reviews, 2023. [In Review]

 

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.

 

 

Abdellatif Sadeq | Mechanical | Best Researcher Award

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Assist Prof Dr. Abdellatif Sadeq | Mechanical | Best Researcher Award

Ph.D., Qatar University, Qatar

🌍 Dr. Abdellatif Mohammad Sadeq, born on April 30, 1993, in Jordan, currently resides in Doha, Qatar. Fluent in both Arabic and English, Dr. Sadeq is a distinguished mechanical engineer with a robust academic background and a dedication to teaching and research. He has over eight years of teaching experience and currently serves as the Dean of Academic Affairs and a mechanical engineering lecturer at Qatar Naval Academy. Dr. Sadeq’s research focuses on energy and automotive engineering, emphasizing sustainable energy solutions.

Profile

Google Scholar

 

Education🎓

🎓 Dr. Abdellatif Mohammad Sadeq holds a B.Sc. (2015), M.Sc. (2018), and Ph.D. (2022) in Mechanical Engineering from Qatar University. Additionally, in September 2023, he earned a second M.Sc. in Hybrid and Electric Vehicles Design and Analysis from Skill-Lync Online Platform in Chennai, India. His academic journey is marked by numerous accolades, including certificates of excellence and distinction.

Experience🏫

💼 Dr. Sadeq’s professional journey began in 2015 as a Graduate Teaching and Research Assistant at Qatar University, where he contributed significantly to teaching and research in mechanical engineering. Since October 2023, he has been serving as the Dean of Academic Affairs and a lecturer at Qatar Naval Academy. His roles have encompassed curriculum development, faculty training, and strategic academic planning, ensuring high standards of education and research excellence.

Research Interests📚

🔬 Dr. Sadeq’s research interests lie in energy and automotive engineering, with a particular focus on internal combustion engines, alternative fuels, hydrogen energy, renewable energy utilization, and energy storage techniques. He specializes in system modeling, simulation, and the design of hybrid and electric vehicles. Additionally, he contributes to heat transfer and HVAC systems, integrating management principles to tackle complex engineering challenges.

Awards🏆

🏅 Throughout his academic and professional career, Dr. Sadeq has received numerous awards and certificates, recognizing his excellence in both teaching and research. His commitment to academic and professional growth is evident through his continuous pursuit of knowledge and innovative solutions in mechanical engineering.

Publications

📚 Dr. Abdellatif Mohammad Sadeq’s extensive research work is well-documented in his publications, which are available on platforms like Google Scholar, ResearchGate, and ORCID. Here are some notable publications:

“Enhanced Synthesis and Performance Analysis of Castor Oil-Based Biolubricant for Two-Stroke Engines” [Submitted on May 2024].

“Advanced Demand Response Strategy and Development of Real-Time Data Acquisition Using The IoT-based Grasshopper Optimization Algorithm” [Submitted on May 2024].

“Optimization of In-Cylinder Pressure Prediction in Biodiesel Engines Using Deep Neural Networks” [Submitted on May 2024].

“Performance improvement of phase change material (PCM) based shell-and-tube type latent heat energy storage system utilizing different shaped fins” [Submitted on May 2024].

“Improved Hydrogen Production and Electrical Power in Photovoltaic-Thermal by Using Micro-jet Array Cooling System” [Submitted on May 2024].