Assist. Prof. Dr. Ahmad Yahya Dawod, Chiang mai University, Thailand
Assist. Prof. Dr. Ahmad Yahya Dawod is a lecturer at the International College of Digital Innovation (ICDI) at Chiang Mai University (CMU), Thailand. He holds a bachelor’s degree in Computer Science from Al-Mustansiriya University, Iraq (2006), a master’s degree in Computing and Informatics from Multimedia University (MMU), Malaysia (2012), and a Ph.D. from the Faculty of Information Science and Technology at the National University of Malaysia (UKM) (2018). His research focuses on Artificial Intelligence, Machine Learning, Pattern Recognition, Computer Vision, Medical Image Analysis, Image Processing, Robotics, Sign Language Recognition, and Natural
Education
Assistant Professor Dr. Ahmad Yahya Dawod has a rich academic background with a strong focus on computer science and technology. He earned his Doctor of Philosophy (Ph.D.) degree from the National University of Malaysia (UKM), Faculty of Information Science and Technology, in May 2018. His doctoral research, titled “Hand Gesture Recognition Based on Isolated and Continuous Sign Language,” was supervised by Assoc. Prof. Dr. Md. Jan Nordin. Prior to this, he completed his Master’s degree (M.Sc.) at Multimedia University (MMU) in Malaysia in May 2013. His thesis, “Hand and Fingertip Detection Based on Free-Form Color Model,” was supervised by Dr. Junaidi Abdullah at the Faculty of Computing and Informatics. Dr. Dawod began his academic journey by obtaining a Bachelor’s degree (B.Sc.) in Computer Science from The University of Mustansirya in Iraq in July 2006, graduating with a commendable GPA of 3.18.
Professional Profiles
ORCID Profile
Google Scholar
Scopus Profile
Teaching Experience
Assistant Professor Dr. Ahmad Yahya Dawod is a distinguished academic and lecturer at Chiang Mai University International College of Digital Innovation in Thailand, where he has been teaching since February 15, 2019. With extensive experience in higher education, Dr. Dawod has taught a variety of courses to both undergraduate and master’s students. For master’s students, he delivers advanced courses such as Artificial Intelligence and Machine Learning for Digital Business and Research Methodology, teaching 6 hours weekly for each course to groups of 20–25 students. At the undergraduate level, he engages in teaching a wide range of subjects, including Communication, Digital Platforms, Networking in Online Society, Internet of Things (IoT), Internet Databases Systems, Internet Programming Language, Big Data, and Information Management Systems, often handling class sizes ranging from 50 to 150 students and dedicating 8–12 hours weekly per course.
Before joining Chiang Mai University, Dr. Dawod taught at Al-Maaref University College from 2013 to 2015, covering subjects such as Artificial Intelligence, Digital Images, Video Processing, Human-Computer Interaction, and Image Processing for classes of 30–40 students. His teaching career began at the University of Mosul, where, as a tutor in the College of Computer Science and Mathematics (2006–2009), he specialized in image processing, computer graphics, and artificial intelligence programs, providing hands-on training in lab environments.
Professional Experience
Dr. Dawod’s expertise spans a broad range of subjects in computer science and programming. His professional background includes:
Programming and Software Training:
MATLAB Trainer (2010–2016):
Conducted courses on MATLAB basics, mathematics, and working with variables in the MATLAB environment.
C++ Trainer (2010–2014):
Delivered training on fundamental programming concepts and variable management.
C# Trainer (2012–2016):
Provided training on C# fundamentals, applications, and Visual Studio.NET.
Dr. Dawod’s extensive experience in teaching and professional training reflects his strong proficiency in computer science, digital innovation, and programming.
Research Interests
His research focuses on Image processing, Machine Learning, Machine vision, Artificial Intelligence, Robotic Control, Video Processing, Computer Graphical programming, Augmented Reality, Virtual Reality, Computer Vision, Human-computer interaction, Sign Language Recognition, and Sign Language Interpretation.
Achievements
Medical Image Processing Projects
Segmenting and classifying brain hemorrhage injuries using CT scan images.
Detecting and classifying lesions related to diabetic retinopathy (NPDR).
Studying skin cancer (melanoma) using advanced techniques.
Utilized Spyder (IDE) Python and deep learning algorithms for the projects, with research and datasets from Chiang Mai Hospital.
Mangrove Forest Study
Conducting research on mangrove forests and their various ecological features.
Security and Cybersecurity Projects
Developing a face recognition security system (data collection phase).
Identifying car plate numbers, models, and vehicle brands through cybersecurity measures.
Markerless Tracking Augmented Reality Project
Contributing to a project focused on treating insect phobias using augmented reality.
Funded by Multimedia University from 2010 to 2012.
Real-Time 3D Virtual Object Overlay
Overlaying 3D virtual objects onto real environments using optical tracking for accurate registration.
Insect Movement Simulation in Virtual Reality
Created and organized insect simulations using VRML, OpenGL, and Maya.
Ensured insects accurately track and follow hand movements on screen.
Virtual Reality for Surgical Training
Developed a VRML program to create high-quality virtual hearts for training students in surgery, aiming to help overcome fear of surgery.
Sign Language Recognition for Deaf Communication
Devised a new technique using American Sign Language to improve communication for deaf individuals.
Developed four classification approaches with a focus on accuracy in recognition.
Continuous Sign Language Gesture Recognition
Conducted research on detecting and recognizing hand gestures in continuous sign language.
Focused on static and dynamic gesture categories.
Kinect-Based Sign Language Recognition
Developed a novel approach to automatically recognize and interpret sign language using Kinect for Windows V2.
Algorithm capable of recognizing both continuous and isolated sign language.
Real-Time Recognition of Continuous Sign Language
Contributed to advancements in real-time recognition of continuous sign language using Kinect sensors.
Hand Gesture Recognition in Sign Language
Developed methods to recognize one-handed and two-handed signs in sign language.
Tested the method on standard and negative sentence datasets.
Top Notable Publications
“Hotspots and trends of environmental, social and governance (ESG) research: A bibliometric analysis”
Co-authors: G Wan, AY Dawod, S Chanaim, RS Shankar
Published in Data Science and Management, 6(2), 65-75
Citations: 68 (2023)
“An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury”
Co-authors: A Phaphuangwittayakul, Y Guo, F Ying, AY Dawod, S Angkurawaranon
Published in Applied Intelligence
Citations: 52 (2022)
“Adaptive skin color model for hand segmentation”
Co-authors: AY Dawod, J Abdullah, MJ Alam
Published in 2010 International Conference on Computer Applications and Industrial Engineering
Citations: 49 (2010)
“A new method for hand segmentation using free-form skin color model”
Co-authors: AY Dawod, J Abdullah, MJ Alam
Published in 2010 3rd International Conference on Advanced Computer Theory and Engineering
Citations: 29 (2010)
“ESG Rating and Northbound Capital Shareholding Preferences: Evidence from China”
Co-authors: G Wan, AY Dawod
Published in Sustainability Journal, 14(15), 19
Citations: 27 (2022)
“Twitter sentiment analysis and expert ratings of initial coin offering fundraising: evidence from Australia and Singapore markets”
Co-authors: A Chursook, AY Dawod, S Chanaim, N Naktnasukanjn, N Chakpitak
Published in TEM Journal, 11(1), 44
Citations: 26 (2022)
“Fingertips detection from color image with complex background”
Co-authors: AY Dawod, J Abdullah, MJ Alam
Published in The 3rd International Conference on Machine Vision (ICMV), 88-96
Citations: 12 (2010)
“Novel Technique for Isolated Sign Language Based on Fingerspelling Recognition”
Co-authors: AY Dawod, N Chakpitak
Published in 2019 13th International Conference on Software, Knowledge, Information, …
Citations: 11 (2019)
“A Bibliometric and Visual Analysis in the Field of Environment, Social and Governance (ESG) Between 2004 and 2021”
Co-authors: G Wan, AY Dawod, C Nopasit
Published in International Journal of Information Science and Management (IJISM), 21(2)
Citations: 10 (2023)
“Assessing mangrove deforestation using pixel-based image: a machine learning approach”
Co-authors: AY Dawod, MA Sharafuddin
Published in Bulletin of Electrical Engineering and Informatics, 10(6), 3178-3190
Citations: 8 (2021)
“Gesture Segmentation: Automatic Continuous Sign Language Technique Based on Adaptive Contrast Stretching Approach”
Co-authors: AY Dawod, M.J. Nordin, J. Abdullah
Published in Middle-East Journal of Scientific Research, 24, 347-352
Citations: 8 (2016)
“Legal Informatics of HS Code Automatic Compliance Translation Based on Cross-border Trade Digitization”
Co-authors: J Mao, AY Dawod
Published in International Electrical Engineering Congress (iEECON). IEEE, 1-4
Citations: 6 (2022)
“Static Hand Gestures: Fingertips Detection Based on Segmented Images”
Co-authors: AY Dawod, MJ Nordin, J Abdullah
Published in J. Comput. Sci., 11(12), 1090-1098
Citations: 6 (2015)
“Microseismic Monitoring Signal Waveform Recognition and Classification: Review of Contemporary Techniques”
Co-authors: H Shu, AY Dawod
Published in Applied Sciences, 13(23), 12739
Citations: 5 (2023)
“Post-covid teaching of physics experiments through flipped classroom & blended teaching practice at college”
Co-authors: X Wen, AY Dawod
Published in 2022 International Conference on Engineering and Emerging Technologies
Citations: 5 (2022)
“Adaptive Slices in Brain Haemorrhage Segmentation Based on the SLIC Algorithm”
Co-authors: AY Dawod, A Phaphuangwittayaku, F Ying, S Angkurawaranon
Published in Engineering Letters, 29(2)
Citations: 5 (2021)
“Correlation between capital markets and cryptocurrency: impact of the coronavirus”
Co-authors: K Ariya, S Chanaim, AY Dawod
Published in International Journal of Electrical & Computer Engineering, 13(6)
Citations: 4 (2023)
“Hand Feature Detection from Skin Color Model with Complex Background”
Co-authors: AY Dawod, J Abdullah, MJ Alam
Published in Annual International Conference on Advances in Distributed and Parallel Computing
Citations: 4 (2010)
“From traditional to digital: The impact of drones and virtual reality technologies on educational models in the post-epidemic era”
Co-authors: J Lu, AY Dawod, F Ying
Published in Sustainable Engineering and Innovation, 5(2), 261-280
Citations: 3 (2023)
Conclusion