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

👨‍🎓 Profiles

📚 Education

Prof. Duque is currently pursuing a post-doctorate at the University of Trás-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).

💻 Areas of Expertise

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

🛠️ 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 Baião before joining ISLA as a Professor and Researcher in 2018.

👨‍🏫 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.

📅 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.

📖 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 Lusófona University since 2021.

🧑‍🏫 Professional Development

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

📖  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., Gonçalves, 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 Gebremeskel  at  Bahir Dar University, Ethiopia

👨‍🎓 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.

💼 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.

🔬 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.

🏆 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.

📖 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

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Google Scholar Profile
Research Gate Profile

🧑‍🎓 Duc Cong Nguyen: PhD Student and Structural Health Monitoring Specialist

📚 Education

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

🔬 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 Dębica railway steel arch bridge in Poland.
  • Previous Experience: Over a decade of expertise in bridge structural testing and pile testing in Vietnam.

🔍 Research Interests

  • AI and Machine Learning 🤖
  • Structural Health Monitoring (SHM) 🏗️
  • Bridges and Railway Bridges 🚉
  • Vibration Measurement and Diagnostic Load Testing 📏

💡 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.

📖 Publications

Structural Health Monitoring for Dębica 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 Dębica Railway Steel Bridge with Optimized ANN and ANFIS
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Piotr Przystałka, 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

Mao Makara | Machine Learning Applications | Best Researcher Award

Mr. Mao Makara | Machine Learning Applications | Best Researcher Award

Mr. Mao Makara at  Soonchunhyang University, South Korea

👨‍🎓 Profiles

Orcid Profile
Research Gate Profile

📚 Academic Background

Makara MAO earned his Bachelor of Engineering degree in Computer Science from the Royal University of Phnom Penh in 2016. He is currently pursuing a combined Master’s and PhD degree in Software Convergence at Soonchunhyang University, South Korea, starting in 2021. His research interests encompass machine learning, deep learning, image classification, video classification, and object detection.

🎓 Education and Training

Makara MAO’s academic journey includes:

  • Sep 2021 – Present: Enrolled in a combined Master’s and PhD degree program at the Department of Software Convergence, Soonchunhyang University, South Korea.
  • Oct 2019 – Jul 2021: Completed a Master’s Degree in Information Technology Engineering at the Royal University of Phnom Penh, Cambodia.
  • Oct 2012 – Jul 2016: Obtained a Bachelor’s Degree in Computer Science from the Royal University of Phnom Penh, Cambodia.

💼 Work Experience

Makara’s professional experience includes:

  • Sep 2020 – Jan 2021: Served as the Application Team Leader at ORM Co., Ltd., Phnom Penh, Cambodia.
  • Jul 2016 – Jul 2020: Worked as an Application Engineer at Ezecom Company, Phnom Penh, Cambodia, where he was involved in web development and system management.

🛠 Skills and Interests

Makara MAO’s skills and interests include:

  • Programming Languages: Proficient in Python, PHP, Laravel; knowledgeable in C and C++.
  • Technical Skills: Expertise in GPU Parallel Algorithms, Data Structures, Algorithms, and Object-Oriented Programming.
  • Research Interests: Focused on Video Classification, Deep Learning, and Image Processing.

💬 Communication / Managerial Skills

Makara MAO excels in communication and management:

  • Effective Communicator: Actively participates in local and international conferences.
  • Adaptable: Open-minded and a good listener, comfortable working with new people, including international students.
  • Creative Problem-Solver: Adept at exploring new possibilities and solutions to challenges.
  • Leadership: Demonstrated strong leadership abilities by managing research teams and guiding junior researchers.

📖 Publications

Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations

    • Journal: Electronics
    • Year: 2024

Video Classification of Cloth Simulations: Deep Learning and Position-Based Dynamics for Stiffness Prediction

    • Journal: Sensors
    • Year: 2024

Coefficient Prediction for Physically-based Cloth Simulation Using Deep Learning

    • Journal: International Journal on Advanced Science, Engineering and Information Technology
    • Year: 2023

Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning

    • Journal: Applied Sciences
    • Year: 2023

Bi-directional Maximal Matching Algorithm to Segment Khmer Words in Sentence

    • Journal: Journal of Information Processing Systems
    • Year: 2022

Zdena Dobesova | Machine learning | Best Researcher Award

Assoc Prof Dr. Zdena Dobesova | Machine learning | Best Researcher Award

Assoc Prof Dr. Zdena Dobesova at Palacký University in Olomouc, Czech Republic

🔗Profiles

 Orcid Profile
 Scopus Profile

🏆 Associate Professor Ing. Zdena DOBEŠOVÁ, Ph.D.

🎓 Educational Background

  • 2017: Habilitation in “System Engineering and Information Science” at University of Pardubice, Faculty of Economics and Administration. Habilitation Thesis: Graphical Notation of Visual Languages in GIS.
  • 2002–2007: Ph.D. in Geoinformatics from Technical University of Ostrava, Faculty of Mining and Geology. Ph.D. Thesis: Cartographical Visualization of Spatial Databases for Regional Information Systems.
  • 1982–1987: Master’s degree in Technical Cybernetics from Czech Technical University Prague, Faculty of Electrical Engineering. Master’s Thesis: Set of Programs for Theory of Automatic Control.
  • 2002–2003: Preparation of tutors for e-learning courses.

📜 Certificates

  • 2022: Script Creation for ArcGIS Pro in Python Language (ArcDATA Prague)
  • 2015: GRASS GIS (GISMentros)
  • 2014: Scripting in Python and Processing CAD Data in ArcGIS for Desktop (VARS Brno)
  • 2010: AutoCAD 2010 CZ (Computer Agency Brno)
  • 2006: Introduction to Scripting in Python Language (ArcDATA Prague)
  • 1988–1989: Logic Programming in PROLOG and Course dBASE III+ (ČSVTS)

🏢 Work Experience

  • 2017–Present: Associate Professor, Department of Geoinformatics, Palacký University Olomouc, Czechia
  • 2001–2016: Assistant Professor, Department of Geoinformatics, Palacký University Olomouc, Czechia
  • 1991–2001: Administrator of Faculty Computer Network, Palacký University Olomouc
  • 1991: Administrator of Computer Laboratory, Department of Mathematical Informatics, Palacký University
  • 1987–1991: Researcher, Department of Construction Research, Kovosvit, Sezimovo Ústí II, Czechia

📚 Lectures (Academic Year 2023/2024)

  • Bachelor Program:
    • Database Systems (KGI/DATAB)
    • Programming for Geoinformatics (KGI/PROPY)
    • Bachelor Theses Seminar 1 & 2 (KGI/BAK1 & KGI/BAK2)
    • Professional Training in Geoinformatics (KGI/PRAB)
  • Master Program:
    • Data Mining (KGI/DATAM)
    • Student Competition in GI (KGI/SOUGI)
    • Geoinformatics in Practice (KGI/GEXE)
  • Doctoral Program:
    • Programming for GIS (KGI/PGPGI)

🔬 Projects (Selection)

  • 2023: Analysis, Modelling, and Visualization of Spatial Phenomena by Geoinformation Technologies II
  • 2020–2023: UrbanDM, ERASMUS+ Jean Monnet Module Project
  • 2019–2020: RODOGEMA – Development of Doctoral Study Programs
  • 2015–2018: GeoS4S – GeoServices-4-Sustainability
  • 2011–2013: BotanGIS – Innovation in Botany Using Geoinformation Technologies

🌍 Stays Abroad

  • 2007: Salzburg, Austria
  • 2010: Zagreb, Croatia
  • 2011: Belgrade, Serbia
  • 2012: Delft, Netherlands
  • 2013: Székesfehérvár, Hungary
  • 2014: Salzburg, Austria
  • 2015: Valencia, Spain
  • 2017: Vienna, Austria
  • 2018: Eberswalde, Germany; Vienna, Austria
  • 2019: Bochum, Germany; Dresden, Germany
  • 2022: Bratislava, Slovakia
  • 2024: Szeged and Székesfehérvár, Hungary

🔍 Scientometrics

  • Web of Science: H-index 7, Publications 49, Sum of Times Cited 227
  • SCOPUS: H-index 10, Publications 50, Sum of Times Cited 358

📚 Membership in Editorial and Advisory Boards

  • ISPRS International Journal of Geo-Information
  • American Journal of Computation, Communication and Control
  • Frontiers in Computer Science, Human-Media Interaction

 

📖 Publication Top Noted

 

Processing of the Time Series of Passenger Railway Transport in EU Countries
Authors: Zdena Dobesova
Journal: Data Analytics in System Engineering
Year: 2024

Evaluation of Orange Data Mining Software and Examples for Lecturing Machine Learning Tasks in Geoinformatics
Authors: Zdena Dobesova
Journal: Computer Applications in Engineering Education
Year: 2024

Evaluation of Changes in Corridor Railway Traffic in the Czech Republic During the Pandemic Year 2020
Authors: Michal Kučera, Zdena Dobešová
Journal: Geographia Cassoviensis
Year: 2023

Map Guide for Botanical Gardens: Multidisciplinary and Educational Storytelling
Authors: Zdena Dobesova, Rostislav Netek, Jan Masopust
Journal: Journal of Geography in Higher Education
Year: 2022

Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE
Authors: Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2021

Analysis of the Degree of Threat to Railway Infrastructure by Falling Tree Vegetation
Authors: Michal Kučera, Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2021

Experiment in Finding Look-Alike European Cities Using Urban Atlas Data
Authors: Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2020