Assist. Prof. Dr. yan zhang | Heterogeneous material welding Award | Innovations in Welding Research Award

Assist. Prof. Dr. yan zhang| Heterogeneous material welding Award | Innovations in Welding Research Award

Assist. Prof. Dr. yan zhang, xinjiang University, China

Yan Zhang is an accomplished researcher specializing in weldability of materials and heterogeneous material connections. With a PhD from Jilin University, where he received numerous accolades including “Excellent Graduate Student” and recognition for his doctoral dissertation, Zhang currently serves as an associate professor and postgraduate tutor at Xinjiang University. He has published over 60 academic papers, secured patents, and led various research projects. Zhang’s expertise extends to serving as a technical consultant for industrial firms and editorial roles for esteemed scientific journals. He is a member of multiple professional societies and has presented his work internationally. Zhang’s innovative contributions include the development of an intelligent pipeline welding robot and co-founding Xinjiang Defender Technology Co., Ltd. to advance technology transfer and entrepreneurship.

Professional Profile:

Scopus

Orcid

📚 Education & Awards:

  • PhD from Jilin University, honored as “Excellent Graduate Student”
  • Extensive research in weldability of materials & heterogeneous material connections
  • Recognized with “Excellent Doctoral Dissertation” title

🏆 Achievements:

  • Published 60+ academic papers, 50+ in SCI, with an impact factor of 123.6
  • Authored several patents and led numerous research projects
  • Involved in prestigious talent programs and international conferences
  • Expertise in welding metallurgy and mechanical engineering

💼 Professional Roles & Memberships:

  • IIW-International Welding Engineer
  • Technical Consultant at Xinjiang Dechuang Industrial Control Technology Co., Ltd.
  • Editorial roles in esteemed scientific journals

Publication Top Notes:

  1. Effect of Ti3C2Tx/Ag MXene fillers on the electrical conductivity of Ag-coated Cu conductive adhesives (2023)
    • Journal: Ceramics International
  2. Research advances on weldability of Mg alloy and other metals worldwide in recent 20 years (2023)
    • Journal: Journal of Materials Research and Technology
  3. Double-pass laser welding of TC4 alloy and 304 stainless steel (2023)
    • Journal: Materials Science and Technology
  4. Laser welding of ZrO2 ceramic and 304 stainless steel with Ag–Cu–Ti filler (2023)
    • Journal: Materials Science and Technology
  5. Element diffusion and microstructure evolution at interface of stainless steel/Ti alloy joint by laser welding with AgCuTi filler metal (2023)
    • Journal: Journal of Materials Research and Technology

 

 

 

 

Assoc. Prof. Dr. Kevser Koklu | Mathematical Modeling award | Women Researcher Award

Assoc. Prof. Dr. Kevser Koklu | Mathematical Modeling award | Women Researcher Award

Assoc. Prof .Dr .Kevser Koklu, Yildiz Technical University, Turkey

Assoc. Prof. Dr. Kevser Köklü is a distinguished mathematician and academician currently serving as an Associate Professor at Yildiz Technical University in Turkey. She completed her Ph.D. in 1999 under the supervision of Prof. Dr. Mehmet Bayramoğlu, focusing on the “Existence and Properties of the Resolvent of a Fourth Order Normal Operator Coefficient Differential Operator.” Prior to that, she obtained her M.Sc. degree in 1995, also under Prof. Dr. Mehmet Bayramoğlu’s guidance, with a thesis titled “Spectral Analysis of Sturm-Liouville Type Differential Equations with Parameter at Boundary Conditions.”

Dr. Köklü’s expertise lies in Mathematical Engineering, with a particular emphasis on differential equations and spectral analysis. Throughout her career, she has been actively engaged in academic research and teaching, making significant contributions to these fields. Her dedication and passion for exploring mathematical structures and their applications in engineering and science have earned her recognition and respect within the academic community.

Professional Profiles:

🎓 Education Background:

  • Ph.D. (1999): Dissertation on “Existence and Properties of the Resolvent of a Fourth Order Normal Operator Coefficient Differential Operator” under the supervision of Prof. Dr. Mehmet Bayramoğlu at the Faculty of Engineering, Yıldız Teknik Üniversitesi.
  • M.Sc. (1995): Thesis titled “Spectral Analysis of Sturm-Liouville Type Differential Equations with Parameter at Boundary Conditions” also supervised by Prof. Dr. Mehmet Bayramoğlu at Yıldız Teknik Üniversitesi.

🌟 Career Highlights:

  • Currently holds the title of Associate Professor (Doç. Dr.).
  • Specializes in Mathematical Engineering and has contributed significantly to the field of differential equations and spectral analysis.
  • Active in academic research and teaching at Yıldız Teknik Üniversitesi.

📚 Research Interests:

  • Differential Equations
  • Spectral Analysis
  • Mathematical Engineering

Dr. Kevser Köklü is a dedicated academician with a passion for exploring the intricacies of mathematical structures and their applications in engineering and science. Her contributions have enriched the academic community and inspired aspiring mathematicians and engineers.

cited:32

Mr Ewunetu Tazebew | environment award | Best Researcher Award

Mr Ewunetu Tazebew | environment award | Best Researcher Award

Mr Ewunetu Tazebew ,Iran University of Science and Technology, Ethiopia

Ewunetu Tazebew is a highly accomplished individual dedicated to environmental research, teaching, and community service. With a background in Natural Resource Management from Bahrdar University and an MSc Degree in Agroforestry and Soil Management from Hawassa University, Tazebew has honed his expertise in various aspects of environmental science.

From 2017 to 2023, Tazebew served as a lecturer, researcher, and trainer at Injibara University’s College of Agriculture, Food, and Climate Science, specializing in areas such as Agroforestry, Climate Smart Agriculture, and Food Security. His work involved teaching undergraduate and postgraduate students, conducting research, and providing community service and training on topics related to agroforestry, forestry, and climate and environmental activities.

Professional Profiles:

👨‍🏫 Professional Experience:

From July 2017 to October 2023, Tazebew served as a lecturer, researcher, and trainer at Injibara University, focusing on subjects like Agroforestry Systems, Climate Smart Agriculture, and Food Security. He actively engaged in research, community service, and training, contributing significantly to the field.

📚 Education and Skills:

Tazebew’s educational background is robust, encompassing a range of subjects from soil science to renewable energy production. He possesses strong communication, organizational, and managerial skills, having led departments and university initiatives effectively.

🔬 Research and Community Service:

His research work spans various crucial topics, including sustainable charcoal production, tree species diversity, and soil health optimization. Tazebew has been actively involved in community service projects, promoting sustainable practices and environmental conservation.

🌱 Project Collaborations:

Tazebew has collaborated on significant projects with organizations like MEXT Japan, GIZ Ethiopia, and UNDP Ethiopia, focusing on sustainable energy production, soil health improvement, and climate-smart agriculture.

Publication Top Notes:

Assist Prof Dr Rouholah Ashiri | Welding Metallurgy award |Best Researcher Award

Assist Prof Dr Rouholah Ashiri | Welding Metallurgy |Best Researcher Award

Assist Prof Dr Rouholah Ashiri ,Iran University of Science and Technology, Iran

Dr. Rouholah Ashiri is an Assistant Professor of Welding Science and Technology, known for his expertise in welding metallurgy and joining processes. Holding a PhD in the field, Dr. Ashiri has dedicated his career to researching and advancing various aspects of welding, particularly focusing on phenomena in fusion welding and challenges facing advanced material joining. He has authored numerous papers published in prestigious journals, covering topics such as liquid metal embrittlement, weld-processing, and porosity formation mechanisms. Dr. Ashiri’s contributions have been instrumental in enhancing our understanding of welding metallurgy, leading to practical applications and advancements in the field.

Professional Profiles:

🎓 Educational Pursuits:

Iran University of Science and Technology 🎓, located in Tehran, is renowned for its excellence in education and research in various fields of science and technology 🚀. Established in 1929, it has evolved into a prestigious institution, offering a wide range of undergraduate and graduate programs 📚. With state-of-the-art facilities and a dedicated faculty, the university fosters innovation and creativity among its students, preparing them to tackle the challenges of the modern world 🌍. Its commitment to advancing knowledge and contributing to societal development has earned it recognition both nationally and internationally 🏆. As a hub of intellectual curiosity and academic rigor, Iran University of Science and Technology continues to inspire generations of scholars and researchers to push the boundaries of scientific discovery and technological advancement 🔬.

Publication Top Notes:

Mr. Amirhosein Emami | Mathematical modeling|Best Researcher Award

Mr. Amirhosein Emami | Mathematical modeling|Best Researcher Award

Mr Amirhosein Emami, Kharazmi university, Iran

Amirhosein Emami is a dynamic Industrial Engineer, seasoned Project Manager, and proficient Scrum Master with a wealth of experience in steering engineering projects to success. His expertise spans across various domains, including project management, strategic planning, and process design. At Mapna Locomotive Company, he has showcased his prowess in managing projects, devising strategic plans, and implementing innovative solutions such as task management systems and BI dashboards. Prior to this, as a Planning Specialist at Rail Pardaz Noafarin (FADAK Train), he honed his skills in project management and strategic planning. Amirhosein holds a Master’s Degree in Industrial Engineering from Kharazmi University and a Bachelor’s Degree from Azad University Karaj Branch, underlining his dedication to academic excellence and professional growth. With a focus on efficiency, innovation, and continuous improvement, Amirhosein is committed to driving organizational success through his strategic vision and hands-on approach.

 

Professional Profiles:

Professional Journey:

Amirhosein’s journey began at Rail Pardaz Noafarin (FADAK Train), where he served as a Planning Specialist from August 2018 to October 2020. During this time, he mastered the art of project management and strategic planning, laying the groundwork for his future endeavors.

He currently holds a pivotal role at Mapna Locomotive Company since October 2020, where he serves as an Industrial Engineer. Here, he has been instrumental in managing and controlling projects, devising strategic plans, and designing innovative solutions such as task management systems and BI dashboards. His adeptness in implementing Scrum methodologies has further streamlined operations, ensuring efficiency and agility in project execution.

🎓 Educational Pursuits:

Amirhosein’s academic journey reflects his commitment to excellence. His Master’s degree from Kharazmi University and Bachelor’s degree from Azad University Karaj Branch provided him with a solid foundation in Industrial Engineering, equipping him with the knowledge and skills necessary to thrive in his profession.

📜 Certifications:

Amirhosein’s dedication to professional growth is underscored by his certifications. As a Professional Scrum Master I certified by Scrum.org, he brings a wealth of expertise in agile methodologies to the table. Additionally, his commendable performance in exams such as IELTS (Academic) and GRE demonstrates his proficiency in communication and aptitude for advanced learning.

With a passion for driving projects forward, Amirhosein Emami continues to make significant contributions to the field of Industrial Engineering, exemplifying excellence in every endeavor.

 

Publication Top Notes:

 

Assist Prof Dr. Artrim Kjamilji | Applied Cryptography| Best Researcher Award

Assist Prof Dr. Artrim Kjamilji | Applied Cryptography| Best Researcher Award

Assist Prof Dr. Artrim Kjamilji , Istanbul Commerce University , Turkey

Dr. Artrim Kjamilji, currently affiliated with Istanbul Commerce University in Turkey, stands as a distinguished figure in the realm of computer science and engineering, particularly renowned for his expertise in applied cryptography. With a profound commitment to advancing the field, Dr. Kjamilji has garnered accolades, including the prestigious Best Researcher Award, recognizing his significant contributions to the domain.

 

Professional Profiles:

Education 🎓

Kjamilji’s academic journey began with a Bachelor of Science in Information Technologies and Computer Engineering from “Ss. Cyril and Methodius” University in Skopje, North Macedonia. He continued his pursuit of knowledge by obtaining a Master of Science in Information-Communication Technologies from the American University of Europe – FON, Skopje, where he achieved a remarkable GPA of 10.00 out of 10. He furthered his studies with a Master of Science in Computer Engineering from Yildiz Technical University, Istanbul, Turkey, and ultimately earned his Doctor of Philosophy (PhD) in Computer Science and Engineering from Sabanci University in Istanbul, graduating with a perfect GPA of 4.00 out of 4.

Professional Experience 💼

Kjamilji’s professional journey is marked by a rich tapestry of experiences. He has served as a Lecturer, Instructor, Assistant Professor, and Visiting Scientific Researcher at esteemed institutions such as Istanbul Commerce University and Sabanci University. His roles have encompassed a wide range of responsibilities, including conducting research, preparing curriculum materials, delivering lectures, and mentoring students. Noteworthy is his expertise in areas such as cryptography, machine learning, data security, and network architecture.

Research Interests & Skills 🔍

Kjamilji’s research interests lie at the intersection of various cutting-edge fields, including applied cryptography, machine learning, blockchain, and industrial informatics. He possesses a strong foundation in theoretical and applied mathematics, coupled with proficiency in programming languages and technologies such as C/C++, Java, Python, and more. Additionally, his expertise extends to network design, hardware integration, and software development tools.

Languages 🌍

Kjamilji is a polyglot, fluent in Albanian, English, Macedonian, and Serbo-Croatian, with a proficient command of Turkish and intermediate proficiency in Spanish. His multilingual capabilities enable him to engage with diverse communities and access a wealth of literature and resources.

Artrim Kjamilji’s remarkable journey reflects his relentless pursuit of knowledge, his passion for teaching, and his commitment to advancing research in cutting-edge domains. With a firm foundation in academia and a wealth of practical experience, he continues to make significant contributions to the fields of computer science and engineering.

Publication Top Notes:

Efficient secure building blocks with application to privacy preserving machine learning algorithms

Citation : 11

Citation : 2

 

Dr. Abdulla Al Darayseh | Science Education | Best Researcher Award

Dr. Abdulla Al Darayseh | Science Education | Best Researcher Award

Dr. Abdulla Al Darayseh , Emirates college for advanced Education , United Arab Emirates 

Abdulla Al Darayseh, PhD, is a highly accomplished educator and academic with over 18 years of experience in the field of education. He currently holds the position of lecturer, Internal Quality Assurance, Assessor, and Senior Trainer at Emirates College for Advanced Education (ECAE) in Abu Dhabi, UAE.

Abdulla earned his PhD in Science Curriculum and Instruction from Al Yarmouk University in Jordan, showcasing his commitment to advancing educational practices. His expertise spans various areas, including curriculum design, teaching methods, effective communication, and creative thinking.

Throughout his career, Abdulla has demonstrated exceptional leadership skills, successfully leading and implementing professional development training programs both nationally in the UAE and internationally in countries such as Jordan, Qatar, Saudi Arabia, and Singapore.

His contributions to the field have been recognized through prestigious awards, including the “Rashid Bin Humaid Award for Culture and Science” for the best educational research and the Excellence Award for the best senior trainer in education. He was also honored as a Distinguished Scholar by the European Journal of Scientific Research.

Professional Profiles:

🔍 Professional Summary:

Dr. Al Darayseh holds a PhD in Science Curriculum and Instruction from Al Yarmouk University, Jordan. His expertise spans across Curriculum Design, Teaching Methods, Effective Communication, and Leadership among others. He has been recognized for his outstanding contributions, including prestigious awards such as the “Rashid Bin Humaid Award for Culture and Science” for educational research.

👨‍🏫 Professional Experience:

Currently serving as the Lead Internal Quality Assurance & Senior Trainer at Emirates College for Advanced Education (ECAE), Abu Dhabi, UAE, Dr. Al Darayseh chairs the Content Development Committee and teaches Pre-Service Postgraduate Diploma in Education. His responsibilities include teaching, training, content development, and ensuring quality assurance processes.

🔍 Key Achievements:

  • Awarded the “Rashid Bin Humaid Award for Culture and Science” for educational research.
  • Honored with the Excellence Award for the best senior trainer in education.
  • Recognized as a Distinguished Scholar by the European Journal of Scientific Research.

🎓 Qualifications:

  • PhD in Science Curriculum and Instruction.
  • Master of Physics.
  • Bachelor of Physics.
  • NCFE Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Process and Practice.
  • NCFE Level 3 Certificate in Assessing Vocational Achievement.
  • Completed the “Leader of Change – Training of the Trainers (ToT)” Program by InHolland University.

Publication Top Notes:

Acceptance of artificial intelligence in teaching science: Science teachers’ perspective

Citation : 49

The impact of COVID-19 pandemic on modes of teaching science in UAE schools

Citation : 41

A Framework for Incorporating the “Learning How to Learn” Approach in Teaching STEM Education

Citation : 11

The Status of In-Service Training Programs Held by Jordan Ministry of Education from the Viewpoint of Science Teachers

Citation : 2

The Scattered and the Numerous Digital Learning Technologies: Analysis of Effective Usage of During and After COVID19

Citation : 1

 

Dr. Subhajit Mondal| Fusion welding | Best Researcher Award

Dr. Subhajit Mondal| Fusion welding | Best Researcher Award

Dr. Subhajit Mondal , National Institute of Technology Rourkela , India.

👨‍🏫 Dr. Subhajit Mondal, born on March 15th, 1984, is a dedicated Assistant Professor in the Department of Civil Engineering at the National Institute of Technology Rourkela, Odisha, India. With a rich academic background including a Doctorate in Philosophy from the Indian Institute of Technology Kharagpur, he specializes in structural engineering and dynamics. Dr. Mondal’s research focuses on structural health monitoring using vibration data and ultrasonic guided waves, as well as the dynamics of laminated and sandwich composite structures. His expertise extends to finite element model updating techniques and experimental modal testing. With numerous publications and funded projects to his credit, Dr. Mondal is committed to advancing the field of civil engineering, particularly in composite structures and concrete technology. As an educator, he aspires to cultivate a deep understanding of structural dynamics and finite element methods among his students. Outside academia, Dr. Mondal actively engages in outreach activities, sharing his expertise and insights with fellow researchers and engineering enthusiasts. His career vision is centered around fostering innovation in composite structures and contributing to the development of resilient infrastructure. 🌟

 

Professional Profiles:

🎓 Education:

  • Ph.D. in Civil Engineering, IIT Kharagpur, West Bengal, India (2011-2017)
  • M.Tech. in Structural Engineering, IIT Kharagpur, West Bengal, India (2008-2010)
  • B.Tech. in Civil Engineering, Jalpaiguri Govt. Engineering College, West Bengal, India (2004-2008)

👨‍💼 Experience:

  • Assistant Professor at NIT Rourkela, Odisha (March 2018 – Present)
  • Post-Doctoral Fellow at IIT Bombay (Oct 2017 – Feb 2018)
  • Worked on various projects at Indian Institute of Technology Kharagpur

🏅 Academic Achievements:

  • Funded Research Projects and Consultancy Projects
  • Organized Workshops and Conferences
  • Held Administrative Positions

👨‍🏫 Student Guided/Guiding:

  • Guided numerous Ph.D. and M.Tech. students

🌐 Outreach Activities:

  • Conducted Guest Lectures and Invited Talks

💡 Career Vision:

Dr. Subhajit Mondal aims to contribute to the advancement of civil engineering, particularly in the realm of composite structures and concrete technology. With a focus on experimental modal analysis, finite element model updating, and health monitoring of structures, he aspires to be a leading figure in his field.

Prof. Mohammed Al-Sarem | Smart reference evapotranspiration | Best Researcher Award

Prof. Mohammed Al-Sarem | Smart reference evapotranspiration | Best Researcher Award

Prof. Mohammed Al-Sarem , Information System Department,Taibah Univesity , Saudi Arabia 

Dr. Mohammed Al-Sarem is a distinguished full professor and Fellow of the Higher Education Academy (FHEA) in the UK, currently based in the Al-Mustrah Sector of Medina, Saudi Arabia. With over a decade of experience in teaching at both undergraduate and postgraduate levels, Dr. Al-Sarem’s expertise lies in Artificial Intelligence, Big Data Analytics, Natural Language Processing (NLP), Social Network Analysis, Educational Data Mining, and Machine Learning/Deep Learning.

His academic journey includes a Ph.D. in Artificial Intelligence from Hassan II Mohammedia-Casablanca, Morocco, where his dissertation focused on leveraging historical assessment records for designing intelligent and adaptive web-based educational systems. Dr. Al-Sarem’s commitment to excellence is reflected in his extensive publication record, with over 50 articles in ISI and Scopus journals, 35 conference papers, and contributions to three book chapters.

In addition to his academic achievements, Dr. Al-Sarem has received numerous awards, including the IBM Big Data Engineer – Mastery Award for Educators in 2019 and the Scientific Excellence Award from the Yemeni Embassy in Rabat, Morocco, in 2013. His commitment to the field is further demonstrated through his role as a certified Google data scientist and active involvement in managing and organizing international conferences.

Professional Profile:

Scopus

Google Scholar

Orcid

Education:

  • PhD: Hassan II Mohammedia – Casablanca, Morocco, Artificial Intelligence (March 2014)
    • Dissertation: “Leveraging Historical Assessment Records in Designing Intelligent and Adaptive Web-based Educational Systems.”
  • MS: Volgograd State Technical University, Russian Federation, Information Technology & Computer Engineering (June 2007)
    • Thesis: “Intellectual Support for Design of Algorithmic Problems Based on CBR Methodology”
  • BS: Volgograd State Technical University, Russian Federation, Information Technology & Computer Engineering (June 2005)

Honors, Awards, and Scholarships:

  • Awards:
    • Certificate of Appreciation for Outstanding Performance (2023)
    • Best Paper Award, 2nd International Conference of Advanced Computing and Informatics (2021)
    • IBM Big Data Engineer Mastery & Explorer Awards for Educators (2018-2019)
    • Scientific Excellence Award, Yemeni Embassy, Rabat, Morocco (2013)
    • Second Best Paper Award, IEEE conference (2013)
  • Scholarships:
    • Ministry of Higher Education Scholarship, Yemen (2011-2013, PhD)
    • Russian Federation Scholarship, Russian (2005-2007, MS)

Grants and Contracts:

  • Running Projects:
    • Artificial Intelligence-based Assistive Application for Disabilities (2023-2024)
    • Deep Learning-based Early Detection of Autism Spectrum Disorder (2023-2024)
    • Intelligent and Deep Learning-based Methods for Prediction of Bioactive Molecule in Drug Design (2022-2024)
    • Artificial Intelligence-based Virtual Planning of Single Implant (2022-2024)
  • Successfully Completed:
    • Deep Computer-Aided Diagnosis of Knee Osteoarthritis (2021-2023)
    • Adaptive Ensemble-Based Deep Fraud Detection Model (2021-2023)
    • Intelligent System for Detecting Health-related Rumors for COVID-19 (2019-2020)

Administrative Experience:

  • Promotion Committee Member: Ensuring eligibility and documentation for department staff promotions.
  • Curriculum Development Manager: Designing new programs, aligning with accreditation standards.
  • Vice Head of Scientific Research and Studies Unit: Organizing seminars, managing projects, and building a faculty dataset.
  • Head of Statistical and Information Unit: Collecting data, preparing reports, supporting quality committees.
  • Head of Timetable and Examination Committee: Scheduling courses and exams, balancing workloads.

Professional and Teaching Experience:

  • Full Professor, Taibah University, Saudi Arabia (Feb 2024 – Present):
    • Teaching Statistical Data Analytics and Big Data Analytics courses.
  • Research Fellow, INTI International University, Malaysia (Dec 2023 – Dec 2025).
  • External Reviewer, Universiti Pendidikan Sultan Idris, Malaysia (2022-Present).
  • Associate Professor, Taibah University, Saudi Arabia (Oct 2019 – Feb 2024).
    • Taught various courses in Data Analytics, Data Mining, and Information Retrieval.

Publication Top Notes :

Feature selection using an improved Chi-square for Arabic text classification

Citation -259

RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification