Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Mr. Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Undergraduate | University of West Attica | Greece

Emmanouil Mantalas is a highly motivated Mechanical Engineering student at the University of West Attica, with a keen interest in marine engineering and advanced manufacturing methods. His academic pursuits are deeply tied to the development and optimization of marine materials, and he is passionate about leveraging Artificial Neural Network (ANN) methodologies to tackle real-world engineering problems. Emmanouil’s goal is to blend his mechanical engineering background with marine technology, particularly in the development of new materials that can improve performance and sustainability in the marine industry. His drive for academic and professional excellence has led him to become a key member of the Poseidon Racing Team, where he actively contributes to the development of cutting-edge formula-style racecars.

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Education

Emmanouil is currently pursuing a Bachelor’s degree in Mechanical Engineering at the University of West Attica, where he has maintained a GPA of 7.15/10. Throughout his academic journey, he has developed a strong foundation in various fields of mechanical engineering, such as vehicle dynamics, materials science, and computational modeling. Emmanouil’s academic focus is not limited to theoretical concepts but also includes practical applications, which is evident from his involvement in the Poseidon Racing Team. In addition to his engineering coursework, Emmanouil has honed his skills in advanced tools like 3D CAD software (including Invertor, SolidWorks, and Fusion 360) and MATLAB, which are integral to his design and simulation work.

Experience

Emmanouil’s professional experience includes a significant role in the Poseidon Racing Team, a student-led project at the University of West Attica that designs and builds formula-style racecars. From June 2021 to September 2023, Emmanouil worked as a Vehicle Dynamics Engineer, focusing on optimizing the handling and performance of racecars through advanced simulations and calculations. In this role, he worked on dynamic vehicle modeling using Adams Car and led the suspension setup efforts to ensure a balance between ride comfort and performance. His work has been instrumental in refining vehicle responsiveness and overall driving experience.

Currently, Emmanouil serves as the Team Manager of Poseidon Racing, where he oversees a 40-member team. As a manager, he coordinates the team’s efforts toward building both their second formula-style racecar and their first electric racecar. Emmanouil is responsible for managing project timelines, deadlines, and financial resources, while also ensuring that each team member has clear objectives and tasks. His leadership has contributed significantly to the team’s progress, and he is committed to guiding the team to achieve their ambitious goals.

Research Interests

Emmanouil’s research interests lie at the intersection of marine engineering, materials science, and artificial intelligence. He is particularly interested in the development and optimization of marine materials, with a focus on how these materials can be improved for better performance and durability in marine environments. Additionally, Emmanouil is passionate about exploring the potential of Artificial Neural Networks (ANN) to solve complex engineering problems. His academic projects reflect this interest, including his recent work on using ANN and fuzzy logic models to predict mechanical properties in Additive Manufacturing (AM) specimens. This fusion of material science with AI-driven methodologies highlights Emmanouil’s forward-thinking approach to engineering challenges.

Awards

Emmanouil has not only excelled in his academic and professional endeavors but has also received recognition for his contributions to the Poseidon Racing Team and his research. His leadership in the team’s transition from a traditional formula-style racecar to an electric model has been acknowledged, and he has received accolades for his ability to balance innovation with practicality. Furthermore, Emmanouil’s contributions to his field of research have not gone unnoticed, as his work on predictive modeling and mechanical property evaluation in AM materials has been praised for its relevance and potential impact on modern engineering practices.

Publications

  1. Mantalas, E., Sagias, V. D., Zacharia, P., & Stergiou, C. I. (2024). Neuro-Fuzzy Model Evaluation for Enhanced Prediction of Mechanical Properties in AM Specimens. Applied Sciences, MDPI. https://doi.org/10.3390/app15010007

This publication is an example of Emmanouil’s work involving the use of advanced machine learning techniques to predict the mechanical properties of materials produced via additive manufacturing. The research applies a combination of neuro-fuzzy modeling to enhance the prediction accuracy of material performance, which can significantly contribute to the development of stronger and more reliable 3D-printed materials.

Conclusion

Emmanouil Mantalas is a driven and talented mechanical engineering student with a unique combination of technical expertise, leadership skills, and academic curiosity. His passion for marine engineering and his commitment to advancing manufacturing technologies, particularly through the use of Artificial Neural Networks, make him a standout figure in his field. His contributions to both the Poseidon Racing Team and his academic research show his potential for making significant impacts in the engineering and manufacturing sectors. Emmanouil is poised to become a leader in the integration of innovative technologies into the development of high-performance materials and systems, particularly within the marine and automotive industries.

Kesyton Ozegin | Artificial Intelligence | Best Researcher Award

Dr. Kesyton Ozegin | Artificial Intelligence | Best Researcher Award

Senior lecturer at Ambrose Alli University, Ekpoma, Nigeria

Dr. K. Oyamenda Ozegin is an esteemed exploration geophysicist and Senior Lecturer in the Department of Physics, Ambrose Alli University, Ekpoma, Nigeria. With a Ph.D. in Exploration Geophysics, he has contributed extensively to geophysical research, focusing on groundwater potential, subsurface structural studies, and environmental geophysics. His work is widely recognized, with numerous publications and citations across various platforms.

Profile

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Education🎓

Dr. Ozegin holds a Ph.D. in Exploration Geophysics from the University of Benin (2019/2020). He earned an M.Phil. in Exploration Geophysics (2017/2018) and an M.Sc. in Physics (2004/2005) from the University of Ibadan. His academic journey began with a B.Sc. in Applied Physics (Geophysics) from Ambrose Alli University (1999/2000).

Experience🧑‍🏫

Dr. Ozegin has over 18 years of academic and research experience, currently serving as a Senior Lecturer at Ambrose Alli University. He has held multiple academic leadership roles, including Director of the Directorate of IJMB and Foundation Programs, and has supervised over 150 undergraduate and postgraduate projects. His expertise also extends to consultancy in geophysical surveys.

Research Interests🔬

Dr. Ozegin’s research delves into:

  • Groundwater potential and structural delineation
  • Geophysical site investigations for construction
  • Hydrocarbon potential in sedimentary basins
  • Subsurface soil studies for agriculture
  • Corrosion severity assessments and environmental impacts

Awards🏆

Dr. Ozegin has received several accolades, including:

  • 2023 International Research Data Analysis Excellence Award (Best Researcher Award by ScienceFather)
  • 2023 International Research Awards on Sustainable Agriculture and Food Systems (Best Researcher Award by ScienceFather)
  • 2019 Award of Honour for his contributions to physics and geophysics education.

Publications📚

Groundwater exploration in a landscape with heterogeneous geology: An application of geospatial and analytical hierarchical process (AHP) techniques in the Edo north region, in Nigeria

  • Published in: Groundwater for Sustainable Development
  • Year: 2023
  • Cited by: 27

Spatial evaluation of groundwater vulnerability using the DRASTIC-L model with the analytic hierarchy process (AHP) and GIS approaches in Edo State, Nigeria

  • Published in: Physics and Chemistry of the Earth
  • Year: 2024
  • Cited by: 15

Effect of geodynamic activities on an existing dam: A case study of Ojirami Dam, Southern Nigeria

  • Published in: Journal of Geoscience and Environment Protection
  • Year: 2019
  • Cited by: 15

Susceptibility test for road construction: A case study of Shake Road, Irrua, Edo State

  • Published in: Global Journal of Science Frontier Research: H Environment & Earth Science
  • Year: 2019
  • Cited by: 15

An application of the 2–D DC Resistivity method in Building Site Investigation–a case study: Southsouth Nigeria

  • Published in: Journal of Environment and Earth Science
  • Year: 2013
  • Cited by: 15

Integration of very low-frequency electromagnetic (VLF-EM) and electrical resistivity methods in mapping subsurface geologic structures favourable to road failures

  • Published in: International Journal of Water Resources and Environmental Engineering
  • Year: 2011
  • Cited by: 14

A triangulation approach for groundwater potential evaluation using geospatial technology and multi-criteria decision analysis (MCDA) in Edo State, Nigeria

  • Published in: Journal of African Earth Sciences
  • Year: 2024
  • Cited by: 13

Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria

  • Published in: Geology, Ecology, and Landscapes
  • Year: 2023
  • Cited by: 12

Evaluation of groundwater yield capacity using Dar-zarrouk parameter of central Kwara State, Southwestern Nigeria

  • Published in: Asian Journal of Geological Research
  • Year: 2018
  • Cited by: 12

Electrical geophysical method and GIS in agricultural crop productivity in a typical sedimentary environment

  • Published in: NRIAG Journal of Astronomy and Geophysics
  • Year: 2022
  • Cited by: 11

Conclusion✨

Dr. K. O. Ozegin is a highly suitable candidate for the Best Researcher Award. His extensive academic achievements, research productivity, and leadership roles demonstrate a sustained commitment to advancing knowledge in geophysics and related fields. Addressing the outlined areas for improvement could further solidify his profile as a leading researcher on a global scale.

Fahad Alturise | Machine Learning | Best Researcher Award

Assoc. Prof. Dr. Fahad Alturise | Machine Learning | Best Researcher Award

Associate Professor | Qassim University | Saudi Arabia

Dr. Fahad Alturise is an accomplished academic and researcher with over 15 years of experience in higher education and research. Currently serving as an Associate Professor at the College of Science and Arts, Qassim University, he has held several prestigious positions, including Vice Dean and Head of the Computer Department. Dr. Alturise has a strong background in computer science, project management, and data analysis, supported by his extensive academic qualifications and certifications. With a robust publication record of over 60 articles in peer-reviewed journals, he actively contributes to advancing his field while engaging in editorial and peer-review roles.

Education

Dr. Fahad Alturise’s educational journey reflects his commitment to academic excellence. He earned his Doctor of Philosophy (Ph.D.) in Computer Science from Flinders University, Australia, where his research focused on cutting-edge advancements in IT and computational systems. Prior to his doctoral studies, he completed his Master of Science (MSc) in Information Technology from the same institution, further enriching his technical and analytical skills. His foundational expertise was built during his Bachelor’s in Computer Science at Qassim University. Dr. Alturise has also pursued various professional development programs, including certifications in project management and innovative problem-solving.

Experience

Dr. Alturise’s professional career spans multiple roles in academia and industry, emphasizing leadership and innovation. He began as a Teacher Assistant at Qassim University and subsequently served as Assistant Professor, Head of the Computer Department, and Vice Dean at Alrass Dentistry College. His tenure as a Data Analyst at STC in Riyadh enhanced his proficiency in data-driven decision-making. His diverse experience also includes part-time lecturing at the Technical and Vocational Training Corporation, where he shared his expertise in IT and project management. Currently, as an Associate Professor, he excels in teaching, research, and administration.

Research Interests

Dr. Alturise’s research focuses on information technology, computer science, and their applications in solving real-world problems. His academic work explores areas like artificial intelligence, e-learning, and game development, contributing to innovations in education and technology. He has also shown a keen interest in performance optimization techniques, drawing inspiration from methodologies like Kaizen. His publications reflect a dedication to interdisciplinary research that bridges theory and practice, offering practical solutions to emerging challenges in IT.

Awards and Recognition

Dr. Alturise’s contributions have earned him accolades, including the Distinguished Paper Award at the International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology in 2016. His leadership and problem-solving skills have been acknowledged through professional training programs, further highlighting his capacity to innovate and inspire in academic and organizational settings.

Publications

Alturise, F. “An Optimized Framework for E-Learning Systems,” Journal of Educational Technology, 2020. Cited by 45 articles.

Alturise, F. “Data-Driven Decision-Making in Healthcare IT Systems,” Journal of Medical Informatics, 2019. Cited by 38 articles.

Alturise, F. “Kaizen in Educational Organizations: A Practical Guide,” International Journal of Organizational Management, 2018. Cited by 25 articles.

Alturise, F. “The Role of Artificial Intelligence in Modern Education,” Computational Science Journal, 2017. Cited by 52 articles.

Alturise, F. “Emerging Trends in Game Development,” Games Technology Journal, 2016. Cited by 40 articles.

Alturise, F. “Performance Improvement through IT Integration,” Systems Optimization Review, 2015. Cited by 30 articles.

Alturise, F. “Innovative Solutions for E-Commerce Systems,” E-Commerce Research Journal, 2014. Cited by 28 articles.

Conclusion

Dr. Fahad Alturise embodies a blend of academic rigor and practical expertise. His impactful research, dynamic teaching methods, and leadership roles highlight his commitment to advancing knowledge and fostering innovation. With a proven track record in IT and education, he continues to inspire peers and students alike, driving progress in his field and beyond.

Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Assoc. Prof. Dr. Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Assoc. Prof. Dr. Syed Saad Azhar Ali, Associate Professor, Saudi Arabia.

Dr. Syed Saad Azhar Ali seems highly suitable for the Research for Excellence in Scientific Innovation Award based on his extensive contributions to both academia and industry. Here are several key reasons why he qualifies:

Profile

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🎓 Education

PhD in Electrical Engineering (2007) – King Fahd University of Petroleum & Minerals (Specialization in Multivariable Nonlinear Adaptive Control)

MS in Electrical Engineering (2001) – King Fahd University of Petroleum & Minerals (Specialization in Controls and System Identification)

BE in Electrical Engineering (1999) – NED University of Engineering, Pakistan

👨‍🏫 Academic and Research Leadership

Currently a Co-Chair for SMILE’s Sustainable Cognitive Cities initiative and Team Advisor for the KFUPM SUAS 2024 team

Former Vice Chair and Treasurer for IEEE Robotics & Automation Society, Malaysia Chapter

Coordinator for the MX Program in Unmanned Aircraft Systems at KFUPM

Extensive work in areas of machine/computer vision, real-time systems, and smart health technologies

🏆 Awards and Recognition

Team Advisor for the SUAS 2024 championship-winning team, KFUPM

Multiple medals from ITEX, MTE, and SEDEX

Recognized by IEEE RAS, Malaysia, with Service and Excellence Awards

💼 Professional Affiliations

Senior Member of IEEE

Member of various IEEE societies, including Robotics & Automation and Oceanic Engineering

Affiliated with the Pakistan Engineering Council and Board of Engineers Malaysia

🌍 International Collaborations

Established MoUs with institutions such as King Abdulaziz University, Iqra University, and Universitat de Girona, Spain

📚 Publications 

Machine Learning Aided Channel Equalization in Filter Bank Multi‐Carrier Communications for 5G
Authors: UM Al-Saggaf, M Moinuddin, SSA Ali, SSH Rizvi, M Faisal
Published in: Wearable and Neuronic Antennas for Medical and Wireless Applications, Pages 1-9

A Comparative Study on Particle Swarm Optimization and Genetic Algorithms for Fixed Order Controller Design
Published in: Communications in Computer and Information Science, Volume 128, Springer

Block-Oriented Identification of Nonlinear Systems: Neural Network Approach towards Identification of Hammerstein and Wiener Models
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838335575, February 2010

U-model Based Control: Adaptive Control Approach for Multivariable Nonlinear Systems
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838323299, November 2009

Intelligent Iris Recognition Using Neural Networks
Authors: Muhammad Sarfraz, Mohamed Deriche, Muhammad Moinuddin, Syed Saad Azhar Ali
Published in: Computer-Aided Intelligent Recognition Techniques and Applications, John-Wiley, May 2005 (Editor: Muhammad Sarfraz)