Duaa Mehiar | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr Duaa Mehiar | Artificial Intelligence | Best Researcher Award

Assistant Professor, Middle East University, Jordan

Duaa Mehiar is an expert in Artificial Intelligence and Robotics, currently part of the Department of IT at Middle East University. She has a strong background in developing intelligent robotic systems, optimizing robotic swarm behaviors, and exploring AI applications in education and healthcare. Duaa is passionate about the intersection of technology and practical solutions, particularly in enhancing robot autonomy and improving human-robot interactions. She has contributed significantly to research in robotic optimization and AI systems, with numerous publications in international journals.

Professional Profile

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Scopus

Strengths for the Award

Duaa Mehiar is an accomplished researcher in the fields of Artificial Intelligence (AI) and Robotics. With a PhD in AI from the University of Malaya, her extensive academic background, demonstrated by her impactful research on optimization methods in robot swarm behaviors, makes her a prime candidate for the Best Researcher Award. Her published works in high-impact journals and international conferences, including contributions to cloud-based frameworks for social robotics and AI-based systems for education, have received recognition in academia. Duaa’s research on dynamic task distribution in drone swarms and deep fake image detection also highlights her broad expertise in both practical applications and cutting-edge AI research.

Areas for Improvement

Although Duaa has made significant strides in her research, further collaboration with interdisciplinary teams in the fields of neuroscience and psychology could enhance the human-robot interaction aspects of her work, especially with virtual agents. Expanding the scope of her research to explore more industry-based applications of her findings, particularly in education and healthcare, would also make her work more impactful. Additionally, more emphasis on real-world robotic deployments could demonstrate her research’s practical outcomes.

Education

  • Ph.D. in Artificial Intelligence – University of Malaya, 2016–2021
    Thesis: Improving Robot Darwinian Particle Swarm Optimization Using Quantum-Behaved Swarm Theory for Robot Exploration and Communication
  • MSc in Computer Science – Al Balqa Applied University, Jordan, 2007–2009
    Thesis: The Multi-Robot Cooperative System for Objects Detection
  • B.Sc. in Computer Science – Al Zaytoona University, Jordan, 1998–2002
    Graduation Project: Production System for Oriental Arabs using Oracle Language

Experience

Duaa Mehiar has a wealth of experience in the field of robotics and AI. She has trained teachers and school supervisors on integrating AI into education, including using metaverse and robots. Duaa was involved in numerous training programs with institutions like EduTech and Ishraq Institute. She has contributed to robotic research and development, from swarm optimization algorithms to practical applications like controlling robots using various protocols. Her expertise includes IoT projects and robot building using Arduino technology.

Awards and Honors

Duaa has received multiple honors for her work in robotics and AI. She was nominated as a trainer for the Ministry of Education in Dubai and Ras Al Khaima for teaching robotic theory and practice. She has also been part of the Arab Robotics Association and has served as a judge for the Arab Robotics Competition. Her research in AI and robotics has been recognized by international platforms, earning her citations and respect within the scientific community.

Research Focus

Duaa’s research primarily focuses on AI and robotics, particularly in optimization algorithms for swarm robots, human-robot interaction, and AI applications in education and healthcare. She has developed quantum-behaved swarm optimization methods for robot exploration and communication. Her interests include improving robotic autonomy, integrating robots in educational environments, and exploring AI systems in healthcare, such as asthma management and rehabilitation. She is dedicated to advancing AI technologies to benefit society.

Publication Top Notes

  • Revolutionizing Social Robotics: A Cloud-Based Framework for Enhancing the Intelligence and Autonomy of Social Robots 🤖
  • Towards Renewable Urban Landscapes: Exploring Photovoltaic Panel Integration – A Case Study 🌍
  • Chatbots in Classrooms: Tailoring Education and Boosting Engagement 🎓
  • QRDPSO: A New Optimization Method for Swarm Robot Searching and Obstacle Avoidance in Dynamic Environments 🤖
  • Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections 🎥
  • Report on Optimization for Efficient Dynamic Task Distribution in Drone Swarms Using QRDPSO Algorithm 🚁
  • Linguistic and Gender Factors in User Engagement with Arabic LLM-Based Virtual Agents for Rehabilitation 🧑‍💻
  • Real-Time Student Attention Evaluation and Engagement Recommendation System Using AI-Based Behavior Analysis 📚
  • Personalized Alarming System for Asthma Management Based on Lung Functionality 🫁
  • Reducing Interrupts Among Robots in Quantum-Behaved Swarm Exploration with MR-LEACH 🤖
  • Improving Robot Darwinian Particle Swarm Optimization Using Quantum-Behaved Swarm Theory for Robot Exploration and Communication 🔍
  • Multi-Robot Cooperative System for Object Detection 🤖
  • QRDPSO Equation: A New Optimization Method for Swarm Robot 🏎
  • Multi-Agent Cooperative System for Object Detection 🛠
  • Multi-Robot System for Search and Rescue Operations 🚑

Conclusion

Duaa Mehiar stands out for her contributions to the fields of AI and Robotics, with a focus on innovative solutions to enhance autonomous robotic systems and optimize AI-driven tasks. She demonstrates strong academic potential, with a portfolio of research that is not only technically sound but also socially relevant, particularly in education and healthcare. For the Best Researcher Award, her continued growth in interdisciplinary collaboration and real-world applications would solidify her place as a leading researcher in her field.

AZIZI ABDULLAH | Computer Vision | Best Paper Award

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Assoc. Prof. Dr AZIZI ABDULLAH | Computer Vision | Best Paper Award

Researcher, Universiti Kebangsaan Malaysia, Malaysia

Azizi Abdullah is an esteemed academic and researcher, currently serving as an Associate Professor at Universiti Kebangsaan Malaysia. He holds a Ph.D. in Computer Vision from Utrecht University, The Netherlands. With over two decades of experience in the fields of machine learning, computer vision, and robotics, Dr. Abdullah is recognized for his contributions to medical applications, particularly breast cancer classification and object recognition. He has authored several influential research papers and is an expert in Simultaneous Localization and Mapping (SLAM). Dr. Abdullah is passionate about advancing AI and deep learning techniques, with a focus on applications in autonomous vehicles and medical image analysis.

PROFESSIONAL PROFILE

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STRENGTHS FOR THE AWARD

  1. Strong Academic Foundation: Azizi Abdullah holds a Ph.D. in Computer Vision from Utrecht University, The Netherlands, along with a Master’s in Software Engineering and a Bachelor’s in Computer Science. This strong academic background provides a solid foundation for his research endeavors.
  2. Proven Research Impact: Abdullah’s publications reflect significant contributions in computer vision, machine learning, and robotics, with a focus on real-world applications in areas such as medical diagnostics (e.g., breast cancer classification) and autonomous systems (e.g., autonomous vehicle systems and SLAM). The high citation count for his work highlights the widespread impact of his research in the academic community.
  3. Diverse Research Interests: His research spans several cutting-edge areas, including deep learning, AI, object recognition, and autonomous mobile robotics. This multidisciplinary approach is critical for advancing knowledge in these fields.
  4. Leadership and Experience: Having held academic positions from Lecturer to Associate Professor at Universiti Kebangsaan Malaysia, Abdullah has demonstrated leadership in both research and teaching, further underlining his ability to shape the future of the field.

AREAS FOR IMPROVEMENT

  1. Expansion of Collaborative Research: While Abdullah has published extensively, fostering collaborations with more international researchers could further broaden the scope and impact of his work.
  2. Interdisciplinary Applications: Although Abdullah’s research touches on multiple domains, additional focus on interdisciplinary applications, particularly in industries outside academia (e.g., healthcare, manufacturing), could maximize the practical application of his work.

EDUCATION

Dr. Azizi Abdullah earned his Ph.D. in Computer Vision from Utrecht University in 2010. He completed his Master of Software Engineering (MSE) at Universiti Malaya in 1999 and his Bachelor of Science in Computer Science from Universiti Kebangsaan Malaysia in 1996. His academic journey reflects his deep commitment to expanding his expertise in software engineering, artificial intelligence, and computer vision, which are central to his groundbreaking work in machine learning and robotics. His diverse academic background has laid the foundation for his successful career in both research and teaching.

EXPERIENCE

Dr. Abdullah’s academic career spans over two decades, beginning as a Research Assistant at Universiti Kebangsaan Malaysia in 1997. He served as a Tutor and Lecturer before being promoted to Senior Lecturer in 2010. His expertise and leadership earned him the title of Associate Professor in 2015. Throughout his career, Dr. Abdullah has made significant contributions to teaching and research, guiding numerous students in software engineering, computer vision, and AI. He has also played an active role in various academic and research initiatives, further enhancing the global impact of his work.

AWARDS AND HONORS

Dr. Abdullah’s exceptional research contributions have earned him recognition in the fields of computer vision, machine learning, and AI. His work on improving neural network performance and breast cancer classification using deep learning has received widespread acclaim. His research on object categorization and autonomous vehicles has been influential in both academic and industrial sectors. In addition to his numerous citations, Dr. Abdullah’s expertise continues to be acknowledged with awards for his outstanding contributions to technological advancements and the scientific community.

RESEARCH FOCUS

Dr. Abdullah’s research is primarily focused on the intersection of computer vision, machine learning, and robotics. His current work revolves around deep learning models, particularly their application in medical image analysis, such as breast cancer detection. He also explores object categorization and recognition using machine learning techniques. Another key area of his research is autonomous mobile robots, specifically Simultaneous Localization and Mapping (SLAM), which is integral to the development of autonomous systems. His interdisciplinary approach combines cutting-edge AI algorithms with practical applications in medical and robotics fields.

PUBLICATION TOP NOTES

  • Deep CNN model based on VGG16 for breast cancer classification 🏥
  • A linear model based on Kalman filter for improving neural network classification performance 🤖
  • Support vector machine approach to real-time inspection of biscuits on moving conveyor belt 🍪
  • Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading 🧬
  • Detection of leukemia in human blood sample based on microscopic images 🩸
  • Vision-based autonomous vehicle systems based on deep learning: A systematic literature review 🚗
  • Machine vision for crack inspection of biscuits featuring pyramid detection scheme 🍪
  • An ensemble of deep support vector machines for image categorization 🖼️
  • Spatial pyramids and two-layer stacking SVM classifiers for image categorization 🖼️
  • Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization 🖼️

CONCLUSION

Azizi Abdullah is a highly deserving candidate for the “Best Researcher Award.” His strong academic qualifications, broad research interests, and impactful contributions to computer vision, AI, and robotics make him a standout figure in his field. While there is room to enhance the interdisciplinary reach and foster more international collaborations, his record of achievement in both theory and application positions him as an influential researcher poised to continue making significant advancements in his areas of expertise.

Ali Haider Khan – AI – Best Researcher Award

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Ali Haider Khan - AI - Best Researcher Award

Ziauddin University - Pakistan

AUTHOR PROFILE

SCOPUS

EXPERIENCE

Ali Haider Khan is a seasoned biomedical engineer with extensive experience across various hospitals and enterprises in Pakistan. His tenure at Bahawal Victoria Hospital involved working with clinical laboratory equipment, ensuring their optimal functionality. At Al-Qadir Enterprises, his role in Radiology, Ultrasound, and Operating Theaters showcased his commitment to enhancing patient care. His earlier internships at Doctor’s Hospital and Ziauddin Hospital provided him with a solid foundation in biomedical engineering, covering aspects from service and safety to supply chain management.

UNIVERSITY PROJECTS

Ali's academic projects demonstrate his innovative spirit and technical expertise. His pioneering work on the real-time recognition of Pakistani Sign Language through a web application highlights his proficiency in using CNN and LSTM models. Additionally, his research on the trans-vascular transport efficiency of nanoparticles in tumor microenvironments via Computational Fluid Dynamics (CFD) shows his adeptness in using Ansys software. His project on anxiety detection and massage-based control through pulse oximetry exemplifies his ability to combine technology and healthcare for therapeutic solutions.

SKILLS & INTERESTS

Ali is well-versed in frontend development, Python, Microsoft Azure, and various other technical tools like Visual Studio and Jupyter Notebook. His creative skills extend to Photoshop and Canva, and he is an effective communicator. Outside of his professional interests, Ali enjoys playing cricket and table tennis and has a keen interest in researching economic issues.

ACHIEVEMENTS

Ali's accomplishments are a testament to his dedication and continuous learning. He completed a crash course on Python by Google and participated in the 7th All Pakistan DUHS-DICE Health Innovation Exhibition. His proficiency in the German language was honed at the Goethe Institute, Karachi. He also attended the IEEE Asia Pacific Comsoc Summer School on Autonomous Systems and completed courses on web development and artificial intelligence from prestigious institutions like the University of Michigan and Accenture.

MEMBERSHIPS

Ali is an active member of several esteemed organizations, including the Harvard Business School Club of Pakistan, the Institute of Electrical and Electronics Engineers (IEEE), and the Society for Peace and Harmony. These memberships reflect his commitment to professional development and community engagement.

PUBLICATIONS

Ali has contributed significantly to the field of biomedical engineering and computer science through his publications. His work on the recognition and classification of the Urdu sign language dataset was published in PeerJ Computer Science. He also co-authored papers on deep learning approaches to Pakistani Sign Language recognition and the simulation of transvascular transport of nanoparticles in tumor microenvironments, published in top journals like Scientific Reports and Engineering Applications of Artificial Intelligence.

FUTURE DIRECTIONS

Looking ahead, Ali aims to further his research in biomedical engineering, focusing on innovative solutions that bridge technology and healthcare. His future projects will continue to explore advanced applications of artificial intelligence and computational methods to improve patient care and medical outcomes.

NOTABLE PUBLICATION

Simulation of Transvascular Transport of Nanoparticles in Tumor Microenvironments for Drug Delivery Applications

Authors: Shabbir, F., Mujeeb, A.A., Jawed, S.F., Khan, A.H., Shakeel, C.S.
Year: 2024
Journal: Scientific Reports
Volume: 14

A Neural-Network Based Web Application on Real-Time Recognition of Pakistani Sign Language

Authors: Mujeeb, A.A., Khan, A.H., Khalid, S., Mirza, M.S., Khan, S.J.
Year: 2024
Journal: Engineering Applications of Artificial Intelligence

A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset

Authors: Zahid, H., Rashid, M., Syed, S.A., Mujeeb, A.A., Khan, A.H.
Year: 2022
Journal: PeerJ Computer Science