Prof. Mohammed Almulla | Machine Learning | Best Researcher Award

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Prof. Mohammed Almulla | Machine Learning | Best Researcher Award

VP Academic Affairs, Kuwait University, Kuwait

Professor Mohammed Ali Almulla is a distinguished Kuwaiti academic and researcher. With a career spanning over three decades, he has significantly contributed to the field of computer science, particularly in areas such as web services, emotion recognition, and fuzzy logic techniques. He is currently a Professor at Kuwait University and has held various leadership positions, including Chairman of the Department of Computer Science. His work has garnered recognition through several publications, research awards, and innovations in the realm of machine learning, artificial intelligence, and medical expert systems. Professor Almulla is known for his comprehensive research approach and deep engagement with emerging technologies, bridging academia and industry. His scholarly contributions are frequently cited, underlining his influence within the academic community.

Profile

Education

Professor Almulla completed his B.Sc. (1986), M.Sc. (1990), and Ph.D. (1995) in Computer Science from McGill University, Canada. His Ph.D. thesis, titled “Analysis of the Use of Semantic Trees in Automated Theorem Proving”, laid the foundation for his future research endeavors. With a deep understanding of theoretical and applied computer science, he has focused on machine learning, fuzzy systems, and semantic analysis. His education from McGill University, a globally recognized institution, has helped him build a solid academic foundation. Additionally, he possesses a comprehensive grasp of Arabic and English, enabling him to communicate and collaborate across cultures and academic circles.

Experience

Professor Almulla’s career at Kuwait University started in 1986 when he began as an Instructor. He progressed to Assistant Professor (1995–2006), then Associate Professor (2006–2021), and is currently serving as a Professor (2021–present). He has also been actively involved in departmental administration, having served as Chairman (2015–2020) and Graduate Program Director (2010–2013). Under his leadership, the Department of Computer Science achieved ABET accreditation, an outstanding accomplishment. His role as Acting Chairman in Mathematics and Computer Science in various periods further exemplifies his leadership skills. His dedication to advancing higher education and research has been integral to the development of the computer science field in Kuwait.

Awards and Honors

Professor Almulla’s academic excellence has been recognized through several Incentive Rewards for Unfunded Research in 2014, 2015, and 2017, with impactful papers published in journals such as Knowledge-Based Systems. His work on service trust behaviors, web services ranking, and fuzzy techniques has earned him significant recognition. He was also honored with Distinctive Teaching Awards in both the College of Computer Science and Engineering (2011/2012) and the Faculty of Science (2001/2002). These awards underscore his excellence in teaching, his commitment to innovative research, and his positive impact on student education.

Research Focus

Professor Almulla’s research focuses on a wide array of cutting-edge topics in computer science. Key areas of expertise include machine learning, fuzzy systems, service trust behaviors, and medical expert systems. His recent work explores emotion recognition systems, federated learning, and web services ranking. In addition, he has contributed to advancements in semantic similarity, automated theorem proving, and healthcare applications. With an eye toward the future, his research continues to bridge the gap between theoretical models and real-world applications, particularly in healthcare and artificial intelligence.

Publication top Notes

  • A Trust-based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning 🏥🤖
  • A Novel CLIPS-based Medical Expert System for Migraine Diagnosis and Treatment Recommendation 💡🧠
  • On the Effect of Prior Knowledge in Text-Based Emotion Recognition 🧠💬
  • A Multimodal Emotion Recognition System Using Deep Convolution Neural Networks 🖥️🔍
  • Location-based Expert System for Diabetes Diagnosis and Medication Recommendation 🏥💊
  • Measuring Semantic Similarity between Services Using Hypergraphs 🧠🌐
  • Specification and Recognition of Service Trust Behaviors 💻✅
  • Next-Generation Sequencing in Familial Breast Cancer Patients from Lebanon 🧬🎗️
  • A New Framework for the Verification of Service Trust Behaviors 🛡️💡
  • GeoCover: An Efficient Sparse Coverage Protocol for RSU Deployment over Urban VANETs 🚗🌍
  • A New Fuzzy Hybrid Technique for Ranking Real World Web Services 🌐🔍

 

 

 

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

Google Scholar

Orcid

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.

Sina Fard Moradinia | Machin Learning | Best Researcher Award

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Assist. Prof. Dr Sina Fard Moradinia | Machine Learning | Best Researcher Award

Reviewer&Editor, Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Dr. Sina Fard Moradinia is an Assistant Professor in the Department of Civil Engineering at Islamic Azad University, Tabriz Branch, Iran. He specializes in water resource management, hydrology, hydraulic engineering, computational fluid dynamics, and the application of machine learning in civil engineering. With a strong academic background and a focus on integrating advanced technologies, Dr. Fard Moradinia has contributed significantly to research in sustainable construction, water management, and infrastructure optimization. His work is recognized for its innovative approaches to environmental and structural challenges, particularly in dam construction, flood prediction, and water resource forecasting. He has authored several peer-reviewed papers and participated in numerous academic and professional conferences.

Profile

Google Scholar

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Scopus

Strengths for the Award

Dr. Sina Fard Moradinia is a highly accomplished researcher and educator in civil engineering, particularly in the areas of water resource management, hydrology, hydraulics, and computational fluid dynamics. His research contributions are diverse and impactful, addressing key challenges in dam construction, flood risk prediction, and sustainable water management. Dr. Fard Moradinia’s ability to integrate machine learning with traditional engineering models to solve complex problems stands out as a significant strength. His extensive body of work, evidenced by multiple publications in high-impact journals, reflects his proficiency in both theoretical and applied research, especially in projects that integrate Building Information Modeling (BIM), System Dynamics, and ANFIS models for project optimization.

Dr. Fard Moradinia has demonstrated leadership in his field through innovative research in human resource risk analysis in construction, water quality management, and the use of computational models to optimize construction project time and cost. His work on flood flow prediction and seepage analysis in earth dams is a testament to his ability to address real-world infrastructure challenges with advanced methodologies.

Areas for Improvements

While Dr. Fard Moradinia has a robust and impressive portfolio of research, there are a few areas where improvements or further development could enhance his profile for recognition.

  1. Broader Global Collaboration: Although his work is highly relevant within the local context of Iran, expanding his collaborative efforts with international researchers, especially in global water management issues or climate change adaptation strategies, could increase the global impact of his research.
  2. Interdisciplinary Approaches: There is an opportunity for Dr. Fard Moradinia to explore more interdisciplinary research areas, such as the integration of civil engineering with environmental science, data analytics, or sustainable urban planning. This could make his work even more relevant to the global discourse on climate change and urban sustainability.
  3. Public Engagement and Outreach: While his academic and research credentials are strong, increasing his presence in public and policy-making circles, particularly in the context of water crisis management and sustainable infrastructure, could make his work more impactful outside academia.

Education 

Dr. Sina Fard Moradinia holds a Ph.D. in Civil Engineering, focusing on hydrology and water resources management, from an esteemed institution in Iran. His academic journey includes both Bachelor’s and Master’s degrees in Civil Engineering, where he developed a solid foundation in fluid dynamics, hydrology, and structural engineering. Dr. Fard Moradinia has continually expanded his expertise through advanced research in the application of computational techniques, including machine learning algorithms for solving complex civil engineering problems. His educational background reflects a commitment to both theoretical and practical aspects of civil engineering, preparing him for an impactful academic career in the field.

Experience 

Dr. Sina Fard Moradinia has accumulated a wealth of experience in both academic and research settings. As an Assistant Professor at Islamic Azad University in Tabriz, he teaches and mentors students in civil engineering, with an emphasis on hydrology, water resource management, and advanced computational methods. In addition to his teaching role, he is actively involved in high-impact research projects, collaborating with professionals in the fields of water resources, infrastructure, and construction management. His research spans areas such as flood prediction, water quality management, construction project optimization, and the use of artificial intelligence for infrastructure analysis. Dr. Fard Moradinia has also applied his expertise in industry-focused projects, working with governmental and private organizations to enhance the design and management of civil infrastructure, particularly in dam construction, flood mitigation, and reservoir management.

Awards and Honors

Dr. Sina Fard Moradinia’s research has garnered recognition from various academic and professional institutions. His publications have received multiple citations, attesting to the impact of his work in civil engineering, hydrology, and water resource management. He has been honored with awards for his contributions to research and education, including recognition for excellence in the application of machine learning techniques to civil engineering problems. Dr. Fard Moradinia has been invited to speak at international conferences and serve on editorial boards for leading journals in his field. Additionally, his role as a reviewer for numerous scholarly publications further solidifies his standing as a respected figure in his domain. His collaborative efforts with industry partners have also resulted in several successful projects aimed at improving infrastructure sustainability and management in Iran.

Research Focus

Dr. Sina Fard Moradinia’s research focuses on applying advanced computational techniques to solve pressing issues in civil engineering, particularly in the areas of water resources management, hydrology, and hydraulic engineering. His work explores innovative solutions for flood prediction, aquifer management, and sustainable water usage, with a strong emphasis on integrating machine learning and artificial intelligence. Dr. Fard Moradinia also investigates the optimization of construction projects, particularly in the context of dam and reservoir management, where he applies Building Information Modeling (BIM) and system dynamics to improve project efficiency and reduce risks. Another key area of his research is the analysis of environmental factors influencing civil infrastructure, such as the impact of sludge discharge in wastewater systems. Through his work, he aims to advance both the scientific understanding of hydrological systems and the practical tools available for managing water resources and infrastructure projects.

Publication Top Notes

  • “Toward Nearly Zero Energy Building Designs: A Comparative Study of Various Techniques” 🌱🏢
  • “Time and Cost Management of Dam Construction Projects Based on BIM” 💼🏞️
  • “The Role of BIM in Reducing the Number of Project Dispute Resolution Sessions” ⚙️💬
  • “Wavelet-ANN Hybrid Model Evaluation in Seepage Prediction in Nonhomogeneous Earth Dams” 🌊🧠
  • “Optimization of Quantitative and Qualitative Indicators of Construction Projects” ⚙️📊
  • “An Approach for Flood Flow Prediction Using New Hybrids of ANFIS” 🌧️🔮
  • “Forecasting the Level of Aquifers in the Ajab Shir Plain with Different Management Scenarios” 💧🔍
  • “Development of an ANFIS Model for Human Resource Risk Analysis in Construction” 🏗️🧑‍💼
  • “Using Umbrella Arch Method in Design of Tunnel Lining” 🏞️⚒️
  • “Evaluation of Water Diversion Tunnel Lining Using Numerical Model” 🔢🌍
  • “Analysis and Investigation of Hydrological Drought Indicators in Mahenshan” 🌵💧
  • “A Novel Approach to Flood Risk Zonation: Integrating Deep Learning Models with APG” 💻🌊
  • “The Prediction of Precipitation Changes in the Aji-Chay Watershed Using CMIP6 Models” 🌧️📈
  • “Applying Project Knowledge Management to Enhance Time and Cost Efficiency in Water Reservoir Projects” 🕒💡
  • “Developing a System Dynamics Model to Study Human Resource Motivation and Time Productivity” 🕹️💼
  • “Investigating Strategies for Implementing Knowledge Management in Dam Construction Projects” 🏗️📚
  • “Simulation of Delay Factors in Dam Construction Projects with System Dynamics” ⏳🏞️
  • “Mathematical Equations for Grouting Pressure and Intensity in Joint Rocks” 🏔️🛠️
  • “Investigation of Excavation Behavior in Soil Nailing for Construction” 🏗️🌍
  • “Study of the Effects of Sludge Discharge from Water Treatment Plants” ♻️💧

Conclusion

Dr. Sina Fard Moradinia’s exceptional contributions to civil engineering, particularly in water resource management, hydrology, and construction project optimization, make him a strong candidate for the Best Researcher Award. His work, combining cutting-edge computational techniques and practical engineering solutions, addresses some of the most pressing challenges in sustainable development and infrastructure resilience. His innovative approaches in dam construction, flood prediction, and water quality management not only benefit academia but also have significant implications for real-world applications. With his continued focus on advancing research methodologies and expanding his influence both nationally and internationally, Dr. Fard Moradinia has the potential to be a leading figure in shaping the future of civil engineering and environmental management.

Raoudha Ben Djemaa | Computer Science | Best Researcher Award

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Prof Raoudha Ben Djemaa | Computer Science | Best Researcher Award

Associate Professor, ISITCOM, Tunisia

Raoudha Ben Djemaa is an esteemed Associate Professor at ISITCOM, University of Sousse, Tunisia. With over 20 years in academia, she has made significant contributions to computer science research and education. Her work primarily focuses on emerging technologies like AI, IoT, and blockchain, and she has authored several notable publications. She has a passion for teaching and mentoring, which is evident in her diverse career across multiple universities in Tunisia. Raoudha’s expertise spans various areas of computer science, with a commitment to advancing knowledge in cloud computing, IoT, and intelligent transportation systems.

Profile

Scopus

Orcid

Strengths for the Award

Raoudha Ben Djemaa is a highly accomplished academic with a strong background in computer science, particularly in emerging technologies like Artificial Intelligence (AI), Internet of Things (IoT), and blockchain. Her distinguished educational qualifications, including a PhD with the highest honor and a strong academic trajectory, underscore her academic rigor.

She has an impressive body of work, with 47 published documents and over 150 citations in prominent international journals and conferences. Her recent research articles focus on crucial areas such as AI-enhanced blockchain solutions for scalable IoT-based supply chains, personalized cloud services using hybrid recommendation systems, and innovative approaches to IoT resource discovery in Fog Computing. These contributions highlight her ability to address real-world challenges with cutting-edge technology, making her a thought leader in her field.

Her research is widely recognized for its impact, evidenced by her growing h-index, which reflects the quality and influence of her work. She has also mentored numerous students and researchers, further amplifying her influence in the academic community.

Areas for Improvement

While Raoudha has made significant strides in her research, there are opportunities for further impact. One potential area of improvement could be fostering stronger collaborations with industry leaders to apply her research in real-world settings. By developing partnerships with tech companies and start-ups, she could bridge the gap between academia and industry, enabling the commercial deployment of her innovative solutions, particularly in IoT, AI, and blockchain technologies.

Additionally, while her publications in journals are significant, expanding her research portfolio into interdisciplinary fields such as cybersecurity, smart cities, and autonomous systems could open new avenues for innovation. Collaborating with experts from related disciplines would allow for more holistic research that addresses broader societal challenges.

Education

Raoudha Ben Djemaa holds a University Habilitation in Computer Science from the University of Sfax, Tunisia (2019). She completed her PhD in Computer Science from the Faculty of Economics and Management Sciences (FSEGS), University of Sfax, in April 2009, receiving the highest honor of “Très Honorable.” She earned a Master’s Degree in Information Systems and New Technologies from FSEGS, Tunisia in 2004, graduating at the top of her class with “Très Bien.” Raoudha completed her Bachelor’s Degree in Computer Science in 1998 from the same institution, with the distinction of “Bien.”

Experience

Raoudha Ben Djemaa has been serving as an Associate Professor at ISITCOM, University of Sousse since September 2020, after transitioning from Assistant Professor (2010-2020) at the same institution. Earlier, she worked as an Assistant from 2008 to 2010 and a Seconded Instructor from 2001 to 2006 at various universities in Tunisia. She began her teaching career as a Secondary School Teacher in Gabes from 1999 to 2001. Raoudha’s dedication to research and academic development has been evident throughout her career, shaping her as a mentor to many students and researchers.

Awards and Honors

Raoudha Ben Djemaa has earned numerous academic honors for her exceptional work in computer science. She graduated with distinction in every stage of her education, including a top honor for her Master’s Degree and PhD. Her scholarly contributions continue to be recognized in the field, particularly through her research in cutting-edge technologies such as AI-enhanced blockchain and IoT. Raoudha’s research work has also been cited in prestigious journals and conferences, further solidifying her reputation as an expert in her field. She has been an influential academic mentor, and her work has earned her recognition in Tunisia and beyond.

Research Focus

Raoudha Ben Djemaa’s research focuses on emerging technologies, particularly in the fields of artificial intelligence (AI), Internet of Things (IoT), and blockchain. She explores the integration of AI with IoT for supply chain optimization, intelligent transportation systems, and cloud edge computing. Her work also delves into the scalability and security challenges of blockchain in distributed systems. Raoudha’s research aims to improve the efficiency and security of IoT applications through new methods in fog and edge computing. Her contributions to hybrid systems and recommendation algorithms further push the boundaries of technology in modern computing.

Publication Top Notes

  1. AI-Enhanced Blockchain for Scalable IoT-Based Supply Chain 📦💡 (Logistics 2024)
  2. Improved Clustering-Based Hybrid Recommendation System to Offer Personalized Cloud Services ☁️💻 (Cluster Computing, 2024)
  3. Monitoring and Analyzing as a Service (MAaaS) Through Cloud Edge Based on Intelligent Transportation Applications 🚗☁️ (Cluster Computing, 2024)
  4. Efficient IoT Resource Discovery Approach Based on P2P Networks and Fog Computing 🌐🌫️ (Internet of Things, 2023)
  5. Towards Smart Contract Distributed Directory Based on the Uniform Description Language 📜🔗 (Journal of Computer Languages, 2023)
  6. ABISchain: Towards a Secure and Scalable Blockchain Using Swarm-Based Pruning 🔒🔗 (ACM International Conference, 2023)
  7. An Hybridization of LSTM and Random Forest Model to Predict Road Situation 🚗🤖 (WETICE, 2023)
  8. Privacy-Preserving Collaborative Computation: Methods, Challenges, and Directions 🔐🤝 (ICCA 2023)

 

Conclusion

Raoudha Ben Djemaa stands out as a deserving candidate for the Best Researcher Award due to her exemplary academic background, groundbreaking research in AI, IoT, and blockchain, and her impactful contributions to technology and education. She continues to push the boundaries of computer science and its practical applications. With opportunities for increased interdisciplinary collaboration and further integration with industry, Raoudha’s future contributions promise to be transformative, making her a leading researcher to watch in the coming years.