👨‍🎓 Profiles

📚 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.

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

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

📚 Academic Background

🎓 Education and Training

💼 Work Experience

🛠 Skills and Interests

💬 Communication / Managerial Skills

📖 Publications

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

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

Coefficient Prediction for Physically-based Cloth Simulation Using Deep Learning

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

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

Zdena Dobesova | Machine learning | Best Researcher Award