Yun Xing | Computer Vision | Best Researcher Award

Mr. Yun Xing | Computer Vision | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

πŸ‘¨β€πŸŽ“Professional Profile

πŸŽ“ Education and Academic Background

I am currently a second-year Ph.D. student at VI-Lab, Nanyang Technological University (NTU), under the supervision of Prof. Shijian Lu. I received my B.S. degree in Biomedical Engineering and Instrument Science from Zhejiang University in 2021, where I worked under the guidance of Prof. Hong Zhou. Prior to my Ph.D., I completed my Master’s in Artificial Intelligence at NTU (2021–2022). My research interests primarily focus on vision-language pre-training and foundation model adaptation.

πŸ”¬ Research Interests

My research revolves around cutting-edge topics in vision-language pre-training and the adaptation of foundation models. I am particularly interested in methods that enable models to transfer knowledge effectively across different domains, such as few-shot learning, cross-domain adaptation, and improving model robustness in complex vision-language tasks.

πŸ† Achievements and News

In recent years, I have been fortunate to have several papers accepted at top-tier conferences. These include NeurIPS 2024, ECCV 2024, CVPR 2024, and NeurIPS 2023, marking significant milestones in my academic journey. Notably, my work on object hallucination mitigation and segmentation adaptation has received considerable attention in the community.

πŸ… Awards and Honors

Throughout my academic journey, I have received various recognitions for my contributions to research. These include the Outstanding Graduate Award from Zhejiang University in 2021, as well as the Academic Excellence Award (2018, 2019) and Academic Progress Award (2019) from the same institution.

πŸ’» Service and Teaching

As an active member of the academic community, I contribute as a conference reviewer for prominent venues such as CVPR, ICML, ECCV, and NeurIPS 2024, where I was honored to be selected as one of the Top Reviewers at NeurIPS. Additionally, I am involved in teaching and mentoring at NTU. In Spring 2024, I will be assisting with the SC1015: Introduction to Data Science and Artificial Intelligence course.

Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque at ISLA – Polytechnic Institute of Management and Technology, Portugal

πŸ‘¨β€πŸŽ“ Profiles

πŸ“š Education

Prof. Duque is currently pursuing a post-doctorate at the University of TrΓ‘s-os-Montes and Alto Douro (UTAD). He earned his Ph.D. in Computer Science from UTAD (2013-2018), a Master’s in Information and Communication Technologies from ISLA (2008-2009), and a Bachelor’s in Information Systems and Multimedia Management from ISLA (2003-2007).

πŸ’» Areas of Expertise

His expertise spans Computer Science, specifically in Information Systems, Computer Engineering, and Data Science for Decision Support Analysis.

πŸ› οΈ Technical Skills

Prof. Duque possesses technical skills in Cisco Networking (CCNA1), programming with Visual Studio and SQL Server, and web technologies including Python, C#, .NET MVC, ASP.NET, and CSS. He is also proficient in Data Science techniques such as Machine Learning, Deep Learning, Big Data, and Data Mining.

🏒 Professional Experience

His career includes roles at AXA Insurance, CEA Consulting Services, LCA – IT, Inforporto Lda, and Geada & Babo, Lda. He served as an IT Trainer and Coordinator at the IEFP and was the Coordinator for Economic Affairs at the Municipality of BaiΓ£o before joining ISLA as a Professor and Researcher in 2018.

πŸ‘¨β€πŸ« Leadership Roles

Prof. Duque has held several leadership positions, including Coordinator of the Postgraduate Program in Analytics and Business Data Science, Coordinator of the Bachelor’s in Computer Science for E-commerce, and Chair of the Pedagogical Council at the School of Technology.

πŸ“… International Conference Participation

He has actively participated in international conferences such as iSCSI, where he served as Workshop Chair and Reviewer. He has also been involved with CENTERIS and ICITS, reviewing papers for various sessions.

πŸ“– Teaching Experience

Prof. Duque has been an Adjunct Professor at ISLA since 2018, teaching courses in Computer Science and Management, and has served as an Assistant Professor at LusΓ³fona University since 2021.

πŸ§‘β€πŸ« Professional Development

His ongoing professional development includes advanced training in Python for Data Science and courses on developing pedagogical competencies for distance education.

πŸ“–Β  Top Noted Publications
Data Mining for Knowledge Management
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2024
Data Science with Data Mining and Machine Learning: A Design Science Research Approach
  • Author: Duque, J., Godinho, A., Moreira, J., Vasconcelos, J.
    Journal: Procedia Computer Science
    Year: 2024
Blockchain Technologies: A Scrutiny into Hyperledger Fabric for Higher Educational Institutions
  • Author: Dias, P., GonΓ§alves, H., Silva, F., Martins, J., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2024
Business Intelligence and the Importance of Data Processing
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
The Importance of Big Data and IoT in Smart Cities
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
Data Mining Applied to Knowledge Management
  • Author: Duque, J., Silva, F., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2023
The IoT to Smart Cities: A Design Science Research Approach
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2023

Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay GebremeskelΒ  at Β Bahir Dar University, Ethiopia

πŸ‘¨β€πŸŽ“ Profiles

🌟 Early Academic Pursuits

Dr. Gebeyehu Belay Gebremeskel’s academic journey began at Alemaya University in Dire Dawa, Ethiopia, where he earned his Bachelor of Science in Computer Science in July 1991. His quest for advanced knowledge led him to London South Bank University in England, where he completed a Master of Science in Advanced Information Technology in January 2001. Under the guidance of Professor Ddembe Williams, he delved into System Dynamics Modeling and Decision Science. Dr. Gebremeskel’s pursuit of deeper expertise continued with a Ph.D. from Chongqing University in China, culminating in June 2013. His dissertation, supervised by Professor Zhongshi He, focused on the integration of Data Mining Algorithms and Multi-Agent Systems with Business Intelligence.

πŸ’Ό Professional Endeavors

Dr. Gebeyehu’s professional career is distinguished by his impactful roles at Bahir Dar University’s Institute of Technology. As an Associate Professor, he has been instrumental in program accreditation, international conference organization, and curriculum development. His expertise has been further honed through a postdoctoral fellowship at Chongqing University’s College of Automation, focusing on machine learning, big data analytics, and intelligent systems. His commitment to excellence is reflected in his contributions to academic and research training, including programs in GIS, web design, and networking.

πŸ”¬ Contributions and Research Focus

Dr. Gebeyehu’s research spans several cutting-edge areas within computer science and engineering. His work in Big Data Analytics emphasizes optimization and precision in performance. In Artificial Intelligence and Machine Learning, he explores neural networks, genetic algorithms, and support vector machines, contributing to advancements in intelligent systems and fault diagnosis. His research in Data Mining includes pattern recognition, outlier detection, and intelligent data systems. Additionally, his focus on Intelligent Systems and Agent Technology involves developing algorithms for multi-agent systems and enhancing system intelligence.

πŸ† Accolades and Recognition

Dr. Gebeyehu has received significant recognition for his contributions to academia and research. His roles as conference co-chair and technical program chair for international events like ICAST 2018, 2019, and 2020 highlight his leadership and influence in the field. His research publications in renowned journals, such as the International Journal of Data Science and Analytics, further underscore his impact. His work on big data analytics and neural network models has been widely acknowledged and respected within the academic community.

🌍 Impact and Influence

Dr. Gebeyehu’s influence extends across both academic and practical domains. His research has advanced knowledge in intelligent transportation systems and smart environments. His curriculum development and program accreditation efforts at Bahir Dar University have elevated the quality of education and research opportunities. By mentoring postgraduate students and leading international workshops, Dr. Gebeyehu has significantly impacted the field of computer science and engineering, shaping the future of many students and researchers.

🌟 Legacy and Future Contributions

Dr. Gebeyehu Belay Gebremeskel’s legacy is marked by his pioneering research, extensive teaching experience, and leadership in academia. His contributions to machine learning, big data analytics, and intelligent systems have set a high standard in the field. As he continues to explore new research avenues and educational initiatives, Dr. Gebeyehu is poised to make further advancements and impact future generations of researchers and practitioners. His dedication ensures that his influence will be felt long into the future.

πŸ“– Publications

Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen at Silesian University of Technology, Poland

πŸ‘¨β€πŸŽ“ Profiles

Orcid Profile
Scopus Profile
Google Scholar Profile
Research Gate Profile

πŸ§‘β€πŸŽ“ Duc Cong Nguyen: PhD Student and Structural Health Monitoring Specialist

πŸ“š Education

  • PhD Student (2020 – 2024)
    Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
    (Supported by NAWA Polish government and Vietnamese government)

πŸ”¬ Professional Experience

  • PhD Research: Developing and applying vibration-based structural health monitoring (SHM) techniques for railway steel arch bridges using advanced AI models and signal processing methods.
  • Consultancy: Contributing to SHM projects for the DΔ™bica railway steel arch bridge in Poland.
  • Previous Experience: Over a decade of expertise in bridge structural testing and pile testing in Vietnam.

πŸ” Research Interests

  • AI and Machine Learning πŸ€–
  • Structural Health Monitoring (SHM) πŸ—οΈ
  • Bridges and Railway Bridges πŸš‰
  • Vibration Measurement and Diagnostic Load Testing πŸ“

πŸ’‘ Key Contributions

  • Innovated advanced signal processing techniques for SHM, including wavelet transforms and FFT algorithms.
  • Developed GoogLeNet CNN models for classification and pattern recognition of bridge vibration signals.
  • Conducted analyses of historical dynamic responses using FFT techniques to estimate tension forces in bridge components.

πŸ“– Publications

Structural Health Monitoring for DΔ™bica Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Civil and Environmental Engineering Reports
    • Year: 2024
Vibration-based SHM of Railway Steel Arch Bridge with Orbit-Shaped Image and Wavelet-Integrated CNN Classification
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Michael Gerges
    • Journal: Engineering Structures
    • Year: 2024
Vibration-based SHM of DΔ™bica Railway Steel Bridge with Optimized ANN and ANFIS
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Piotr PrzystaΕ‚ka, Mateusz Hypki
    • Journal: Journal of Constructional Steel Research
    • Year: 2024
Finite Element Model Updating of Steel Bridge Structure Using Vibration-Based Structural Health Monitoring System: A Case Study of Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Experimental Vibration Analysis for Civil Engineering Structures: EVACES. Lecture Notes in Civil Engineering (433)
    • Year: 2023

Julia Coleene | Machine Learning and AI Applications | Best Researcher Award

Ms. Julia Coleene, Machine Learning and AI Applications, Best Researcher Award

Ms. Julia Coleene at Panggoy MapΓΊa Malayan Colleges Mindanao, Philippines

Professional Profile

Scopus Profile

🌟Summary

Julia Coleene B. Panggoy is a dedicated third-year Bachelor of Science in Computer Science student at MapΓΊa Malayan Colleges Mindanao. She possesses strong skills in Google Suite and Microsoft 365 Office Suite, with proficiency in programming languages such as Java, Python, C++, JavaScript, CSS, and HTML. Julia is known for her excellent verbal and written communication skills, attention to detail, and organizational prowess. She also has basic graphic design abilities using Canva.

πŸŽ“Education

Julia is currently pursuing her Bachelor’s degree in Computer Science at MapΓΊa Malayan Colleges Mindanao. Prior to this, she completed her Senior High School education in the STEM track at San Pedro College Basic-Education Department.

πŸ’Ό Professional Experience

Julia has gained valuable leadership experience as the External Vice-President of the College Department Student Organization at MapΓΊa Malayan Colleges Mindanao. She has also served as the Community Extension Head within the same organization, showcasing her commitment to community service and organizational development.

πŸ”¬ Research Interests

Julia’s academic achievements include consistent recognition on the President’s List at MapΓΊa Malayan Colleges Mindanao and earning High Honors during her tenure at San Pedro College Basic-Education Department. She actively contributes to campus life and student governance, reflecting her dedication to academic excellence and extracurricular engagement.

πŸ“– Publication Top Noted

  • LAKBAYAN: A Travel-Social Itinerary Application with Derived Enhanced Simulated Annealing, 2024

Hend ALnajjar | Artificial Intelligence | Best Researcher Award

Assoc Prof Dr. Hend ALnajjar, Artificial Intelligence, Best Researcher Award

Assoc Prof Dr. Hend ALnajjar at king Saud bin Abdulaziz for health science, Saudi Arabia

Professional Profile

Scopus Profile
Orcid Β Profile
Research Gate Profile
Google Scholar Profile

🌟Summary

Dr. Hend Abdu Alnajjar is an accomplished Associate Professor in Pediatric Nursing at the College of Nursing–Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a robust educational background including a Ph.D. in Nursing from Manchester University and extensive experience in nursing education, she specializes in maternal and child health, healthcare quality, and academic leadership.

πŸŽ“Education

  • Doctor of Philosophy in Nursing, Manchester University, UK (November 2012)
  • MSc in Advanced Nursing Studies, Manchester University, UK (November 2008)
  • Master of Medical Education, College of Medicine, King Saud bin Abdulaziz University for Health Sciences (2017-2019)
  • Bachelor of Science in Nursing, King Abdulaziz University, Jeddah, KSA (September 2000)

πŸ’Ό Professional Experience

Dr. Hend Abdu Alnajjar brings a wealth of expertise as an Associate Professor in Pediatric Nursing at the College of Nursing–Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a distinguished career spanning leadership roles such as Dean of the College of Nursing – Jeddah and Associate Dean of Academic & Student Affairs, she has significantly contributed to advancing nursing education and healthcare quality in Saudi Arabia. Dr. Alnajjar’s leadership extends to extensive involvement in accreditation processes, curriculum development, and quality assurance initiatives, enhancing educational standards across multiple institutions. Her commitment to maternal and child health is underscored by her clinical background in neonatal intensive care units, further enriching her academic and practical contributions to the nursing profession.

πŸ”¬ Research Interests

Dr. Hend Abdu Alnajjar’s research interests are focused on pivotal areas within nursing and healthcare. Her primary scholarly pursuits revolve around maternal and child health, where she explores innovative approaches to improve healthcare outcomes for mothers and children. Additionally, her research encompasses nursing education, aiming to enhance teaching methodologies and curriculum frameworks to foster competent nursing professionals. Dr. Alnajjar is also passionate about healthcare quality, investigating strategies to optimize patient care delivery and safety within clinical settings. Her academic leadership in these domains reflects a commitment to advancing nursing practice and education both locally and globally.

πŸ“– Publication Top Noted

Article title: Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students

    • Authors: Ebtsam Aly Abou Hashish, Hend Alnajjar
    • Journal: BMC Medical Education
    • Volume: 24
    • Pages: 508
    • Year: 2024

Article title: Perception of the accreditation of the National Commission for Academic Accreditation and assessment at different health colleges in Jeddah, Saudi Arabia

    • Authors:Ali S Al-Shareef, Mansour A AlQurashi, Azza Al Jabarti, Hend Alnajjar, Ahmad A Alanazi, Mohamed Almoamary, Bader Shirah, Khalid Alqarni
    • Journal: Cureus
    • Volume: 15
    • Year: 2023

Article title: Managerial power bases and its relationship to influence tactics and conflict management styles: Bedside nurses’ perspective

    • Authors: Ebtsam Abou Hashish, Hend Alnajjar, Arwa Al Saddon
    • Journal: Worldviews on Evidence‐Based Nursing
    • Volume: 20
    • Issue: 5
    • Year: 2023

Article title: Exploring the relationship between leadership and conflict management styles among nursing students

    • Authors: Hend Alnajjar, Ebtsam Abou Hashish
    • Journal: Nursing management
    • Volume: 29
    • Issue: 3
    • Year: 2022

Article title: Academic ethical awareness and moral sensitivity of undergraduate nursing students: assessment and influencing factors

    • Authors: Hend Abdu Alnajjar, PhD, Ebtsam Aly Abou Hashish, PhD
    • Journal: SAGE open nursing
    • Volume: 7
    • Year: 2021

 

Amir Reza Rahimi | artificial intelligence | Best Researcher Award

Mr. Amir Reza Rahimi, artificial intelligence, Best Researcher Award

Mr. Amir Reza Rahimi at Universidad de Valencia, Spain

Professional Profile

Google Scholar Profile
Orcid Profile
Research Gate Profile

Summary

Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in Language, Literature, and Cultures and their applications. He has extensive teaching experience in English at universities, high schools, and language institutes in Iran. Rahimi has also conducted workshops on using technology in English language teaching. His research, focusing on psycholinguistics, computer-assisted language learning (CALL), and educational technology, has been published in leading journals and presented at international conferences.

Education

Amir Reza Rahimi holds a Master’s degree in English Language Teaching from Shahid Rajaee Teacher Training University in Tehran, Iran, where his thesis focused on the impact of Massive Open Online Courses (MOOCs) on the structural relationship between online regulation and online motivational self-systems among Iranian EFL learners. He earned his Bachelor’s degree in English Language Teaching from the University of Mohaghegh Ardabili in Ardabil, Iran. Currently, he is pursuing a Ph.D. in Language, Literature, and Cultures and its Applications at the University of Valencia, Spain, with research interests spanning computer-assisted language learning (CALL), educational technology, and psycholinguistics.

Professional Experience

Amir Reza Rahimi has amassed significant experience in English language education, having taught at various universities, high schools, and language institutes throughout Iran. His career includes conducting workshops aimed at integrating technology into English language teaching methodologies. Rahimi’s expertise extends to research in psycholinguistics, computer-assisted language learning (CALL), and educational psychology, contributing extensively to scholarly publications and presenting his work at prestigious international conferences. Currently a Ph.D. candidate at the University of Valencia, Spain, Rahimi continues to explore innovative approaches in language education and teacher development.

Research Interests

Amir Reza Rahimi’s research interests encompass several facets of language education and technology integration. His work primarily focuses on computer-assisted language learning (CALL), exploring the impact of Massive Open Online Courses (MOOCs) on language learners’ motivational self-systems and educational outcomes. Rahimi is also deeply engaged in psycholinguistics, investigating the cognitive processes involved in language acquisition and proficiency development. His research extends to educational technology, where he explores innovative methods and tools to enhance language teaching and learning experiences. Rahimi’s scholarly pursuits aim to contribute to theoretical advancements in the fields of language education and educational psychology, addressing contemporary challenges and opportunities in digital learning environments.

Conferences and Workshops

  • WorldCALL conference, Chiang Mai, Thailand
  • 21st Asia TEFL International Conference
  • TELLSI19 Conference, University of Birjand, Iran
  • AELTE 2022, Ankara, Turkey

Academic Membership

  • 2017-Present: Teaching English Language and Literature Society of Iran (TELLSI)

Technical Skills

  • SPSS, LISREL, AMOS, PLS-SEM, MAXQDA
  • Computer literacy (2018-2020)

Amir Reza Rahimi’s extensive background in teaching, research, and professional development showcases his expertise and contributions to the field of English Language Teaching and Educational Technology.

πŸ“– Publication Top Noted

Shymon Islam | Natural Language Processing | Best Researcher Award

Mr. Md. Shymon Islam,Natural Language Processing,Β  Best Researcher Award

Β Shymon Islam at North Western University, Khulna Bangladesh

Professional Profile:

Google Scholar Profile
Research Gate

Summary:

Mr. Md. Shymon Islam is a dedicated professional with a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh. With a keen interest in education and research, he aspires to contribute significantly to the advancement of Computer Science and Engineering. His expertise lies in Machine Learning, Data Mining, Image Processing, and Artificial Intelligence.

πŸ‘©β€πŸŽ“Education:

Mr. Md. Shymon Islam holds a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh, achieved with a remarkable CGPA of 4.00, earning the distinction. He previously obtained his Bachelor of Science in Engineering in CSE from the same institution, graduating with a notable CGPA of 3.90, also with distinction. His academic journey reflects his dedication to excellence and his passion for advancing in the field of Computer Science and Engineering.

Professional Experience:

With three years of experience as both a research scholar and faculty member at Khulna University, Md. Shymon Islam has demonstrated his dedication to academia and research. His role has involved not only teaching but also actively contributing to the body of knowledge in Computer Science and Engineering. He has published multiple research papers in prestigious journals and conferences, focusing on areas such as sentiment analysis, optimization algorithms, and document classification. His tenure showcases his commitment to advancing the field through rigorous academic inquiry and practical application.

Research Interest :

Mr. Md. Shymon Islam’s research interests lie at the intersection of cutting-edge technologies in Computer Science and Engineering. He is particularly passionate about exploring areas such as Machine Learning, Data Mining, Image Processing, and Artificial Intelligence. With a keen interest in both theoretical advancements and practical applications, he seeks to contribute innovative solutions to real-world problems across these domains. His interdisciplinary approach and curiosity drive his quest for knowledge and discovery in the ever-evolving landscape of technology.

Publication Top Noted: