Assoc. Prof. Dr Lili Abdullah | Trafiic Analysis and Prediction | Best Researcher Award
Lecturer, Universiti Putra Malaysia, Malaysia
Prof. Dr. L.N. Abdullah is a distinguished academic and researcher at Universiti Putra Malaysia (UPM), specializing in Information Systems, Telematics, and Multimedia. He has extensive international experience, serving as a foreign professor and advisor at L.N. Gumilyov Eurasian National University, Kazakhstan. Dr. Abdullah is known for his contributions to academia, including leadership roles, notably as the Head of the Department of Multimedia at UPM. He also consults on various projects, including in the tech and media sectors, and collaborates with international institutions. His expertise extends to areas such as traffic safety, extended reality, and machine learning in multimedia.
Profile
Strengths for the Award
Dr. L.N. Abdullah is a highly accomplished academic and researcher with extensive experience in Information Systems, Telematics, and Multimedia. His strengths include a robust academic background, with a PhD in Information Systems from Universiti Kebangsaan Malaysia, and a Master’s degree from the University of Sheffield. His diverse international experience as a foreign professor and advisor at institutions like L.N. Gumilyov Eurasian National University, Kazakhstan, and teaching attachments at the University of Taibah, Saudi Arabia, reflects his strong global academic influence.
Dr. Abdullah’s research focuses on crucial areas such as traffic safety, machine learning, extended reality, and multimedia applications. His work on traffic accident risk prediction, deep learning for image recognition, and innovative systems for engineering education demonstrates his ability to apply cutting-edge technologies to solve real-world problems. His interdisciplinary approach, combining technology with education, health, and public safety, makes him a standout candidate.
Areas for Improvements
Although Dr. Abdullah’s research has had a notable impact, there are areas for improvement that could enhance his contributions even further. These include:
- Collaboration with Industry: While his research in academia is robust, increasing collaborations with industry leaders and companies can foster the real-world implementation of his work, particularly in areas like traffic safety technology and extended reality applications.
- Increased Focus on Sustainable Technologies: Integrating sustainability into his research, especially with the growing need for eco-friendly technological solutions, could open up new interdisciplinary research opportunities.
- Broader Dissemination: Expanding his research publications to a more diverse set of journals and presenting his work in more global conferences will increase his research’s visibility and impact.
Education
Dr. L.N. Abdullah holds a PhD in Information Systems from Universiti Kebangsaan Malaysia (2007), a Master of Engineering (Telematics) from the University of Sheffield (1996), and a Bachelor’s degree in Computer Science from Universiti Pertanian Malaysia (1992). His academic journey has provided a strong foundation for his career in both teaching and research, influencing developments in the field of information technology and multimedia systems. His education spans across diverse disciplines, which allow him to contribute to several interdisciplinary research areas.
Experience
Dr. Abdullah’s career spans over three decades, beginning as a tutor at Universiti Pertanian Malaysia (UPM) from 1993-1996, followed by a faculty position as a lecturer until 2009. He became an Associate Professor in 2009, and later served as Head of the Department of Multimedia from 2009 to 2012. His leadership roles have been complemented by international teaching attachments at the University of Taibah in Saudi Arabia and consultancy at Catapult Studios. Since 2022, he has been a foreign professor and advisor at L.N. Gumilyov Eurasian National University, contributing significantly to global academia.
Awards and Honors
Dr. Abdullah’s contributions to academia have been recognized through numerous accolades. He has made significant contributions to research and teaching, particularly in the areas of Information Systems, Telematics, and Multimedia. His career is highlighted by his international collaborations, leadership in academic departments, and recognition in various scholarly circles. Additionally, he has received multiple awards for his role in advancing technology education, including recognition in the fields of extended reality, machine learning, and traffic safety.
Research Focus
Dr. Abdullah’s research primarily focuses on Information Systems, Telematics, and Multimedia. His work involves traffic safety and accident prediction models, augmented reality, and machine learning for multimedia applications. He has also contributed to advancements in deep learning for image recognition and multimedia data analysis. His interdisciplinary approach connects technology with practical applications in education, health, and engineering. Dr. Abdullah’s recent projects focus on developing predictive models and innovative systems for enhancing public safety and improving education through immersive technologies.
Publication Top Notes
- Meta-Feature-Based Traffic Accident Risk Prediction: A Novel Approach to Forecasting Severity and Incidence 🚗
- Pioneering Driver Safety: Evaluating Weather Impacts with the Multi-Class-Weather Algorithm 🌧️
- Classification of Traffic Accidents’ Factors Using TrafficRiskClassifier 🚓
- Students’ Satisfaction Levels of an Immersive Extended Reality for Engine Assembly Tasks in Engineering Empirical Education 🔧
- Deep Learning Mango Fruit Recognition Based on TensorFlow Lite 🥭
- Playing the Malay Gamelan Bonang in the Air: A Pilot Study 🎶
- GoMap: Combining Step Counting Technique with Augmented Reality for a Mobile-Based Indoor Map Locator 🗺️
- Copy-Move Forgery Detection Using Canny Edge Detector and SIFT-Based Blob Analysis 🔍
- Effectiveness on Training Method Using Virtual Reality and Augmented Reality Applications in Automobile Engine Assembly 🚗
- Detection of Compressed DeepFake Video Drawbacks and Technical Developments 🎥
Conclusion
Dr. L.N. Abdullah is a worthy candidate for the Best Researcher Award due to his exemplary contributions to academia and research, particularly in the fields of Information Systems, Telematics, and Multimedia. His research not only addresses relevant technological issues but also improves societal safety and education. By fostering more industry ties and focusing on sustainable tech, Dr. Abdullah can further enhance his global impact and leadership in his field. His current standing in research, demonstrated by his numerous publications, citations, and international roles, solidifies his reputation as a prominent researcher deserving of this award.