Akeem Kareem | Mechanical Engineering | Best Researcher Award

Mr. Akeem Kareem, Kumoh National Institute of Technology, South Korea.

Akeem Kareem, MNSE, MIAENG, is a dynamic researcher and engineer specializing in R&D on Digital Twin, Metaverse (VR & AR), and Prognostics and Health Management (PHM). Currently pursuing a Doctor of Science in Mechanical Engineering at Kumoh National Institute of Technology, South Korea, he brings extensive expertise in data-driven AI processes and 3D animation. With professional stints in mechanical engineering, facilities management, and data science, Akeem combines technical precision with a passion for innovation. His multilingual fluency in Yoruba and English, certifications in Machine Learning, and published works highlight his commitment to leveraging technology for groundbreaking solutions.

Publication profile

Orcid

Education

Doctor of Science, Mechanical Engineering – Kumoh National Institute of Technology (2023–2026)
Masters, Mechanical Engineering – Kumoh National Institute of Technology (2021–2023)
BEng, Mechanical Engineering (Thermofluid Option) – University of Ilorin, Nigeria (2013–2017)
OND, Mechanical Engineering – Kwara State Polytechnic, Nigeria (2009–2011)

Experience

Research and Development Specialist – FD&P (2023–Present)
Graduate Research Assistant – Kumoh National Institute of Technology (2021–2023)
Lead Project Manager (Facilities) – James Cubitt Facilities Managers (2018–2021)
Graduate Mechanical Engineer – Dangote Group (2012–2013)
Automotive Technician – CFAO CICA Nig Limited (2011–2012)

Suitability For The Award

Mr. Akeem Kareem is a strong candidate for the Best Researcher Award, showcasing a multidisciplinary expertise in semiconductor engineering, data-driven processes, and mechanical systems. His innovative contributions span Digital Twins, Metaverse technologies, reinforcement learning, and predictive health monitoring (PHM). With an impressive academic and professional track record, including publications in advanced areas of fault diagnostics and computational analysis, Mr. Kareem demonstrates exceptional research acumen and industry impact.

Professional Development

Akeem Kareem is dedicated to professional growth, showcasing expertise in machine learning, electromechanical engineering, and data science. With certifications in Machine Learning with Python, Introduction to Data Science, and Electromechanical Engineering, he bridges engineering solutions with data-driven insights. Akeem actively contributes to publications in AI-based diagnostics, leveraging supervised learning and FEA assessments. His proficiency in developing robust AI frameworks and commitment to continuous learning position him as a catalyst for innovative solutions in engineering, digital twin technology, and AR/VR applications.

Research Focus

Akeem Kareem’s research emphasizes advanced engineering systems integrating Digital Twin, Metaverse technologies (VR & AR), and Prognostics and Health Management (PHM). His expertise lies in developing data-driven fault diagnostics, reliability enhancement for electronic components, and AI-powered frameworks for autonomous systems. With a focus on machine learning and reinforcement deep learning, he seeks to revolutionize industries through predictive analytics and system optimization. By combining academic rigor with real-world applications, Akeem is driving innovation at the intersection of engineering and digital transformation.

Awards and Honors

Certified Graduate Mechanical Engineer – Dangote Group
Recognized for contributions to facilities management – James Cubitt Facilities Managers
Multiple publications in AI and diagnostics frameworks
Certifications in Machine Learning, Electromechanical Engineering, and Data Science
Research contributions to enhancing AI reliability in harsh environments

Publications

“A Comparative Data Augmentation-Assisted Diagnostic Framework for Industrial Centrifugal Pumps”
“A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment”
“Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals”
“Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection”
“Hyperelastic and Stacked Ensemble-Driven Predictive Modeling of PEMFC Gaskets Under Thermal and Chemical Aging”
“Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps”
“ANN-based Reliability Enhancement of SMPS Aluminium Electrolytic Capacitors in Cold Environments” (2023)
“ANN-Based Reliability Enhancement of SMPS Aluminum Electrolytic Capacitors in Cold Environments” (2023)

Saad Al-Haidari | Mechanical Engineering | Best Researcher Award

Dr. Saad Raad Mujid , Al mustansiriyah university, Iraq.

Saad Raad Mujid is a skilled mechanical engineer specializing in thermal power engineering. He holds a Bachelor’s degree from the University of Mustansiriyah and is currently pursuing advanced studies in thermal dynamics. With expertise in computational fluid dynamics (CFD) and practical experience in industrial projects, he excels in design and manufacturing applications. Saad has successfully completed multiple safety and engineering courses, enhancing his knowledge in forced and natural heat convection. Proficient in various engineering software, he is committed to continuous learning and professional development, making significant contributions to the field of mechanical engineering.

Publication Profile

Orcid

Scopus

Suitability For The Award

Saad Raad Mujid is a commendable candidate for the Best Researcher Award, given his robust educational background in mechanical engineering and thermal power engineering, complemented by extensive hands-on experience in the field. Graduating from the College of Engineering at the University of Mustansiriyah in Baghdad, Saad has developed a solid foundation in engineering principles, which he has effectively applied in various research and industrial settings. His commitment to advancing knowledge in thermal power and fluid dynamics positions him as a valuable contributor to the engineering community.

Education and Experience

Bachelor’s Degree in Mechanical Engineering
University of Mustansiriyah, Baghdad, Graduation Year: 2019/2020
Master’s Degree in Thermal Power Engineering
University of Mustansiriyah, Baghdad
Research Assistant
Focused on thermal power, thermofluids, heat transfer, CFD, and hydraulic engineering
Course: Study of Forced Heat Convection from Staggered Pin Fins Array
University of Mustansiriyah, Duration: 6 months
Course: Study of Natural Heat Convection from Staggered Pin Fins Array
University of Mustansiriyah, Duration: 6 months
Course: General Industry Safety and Health
Osha Foundation, Basra, Duration: 30 hours
Course: Well Logging and Safety
Osha Foundation, Basra
Work Experience
- 15 months with Hyundai Company on the Karbala refinery project
- 10 months with Samsung Company
- 5 months with JV Companies
- Course: HSC
  Maysan Oil Company, Duration: 3 weeks

Professional Development

Saad Raad Mujid actively seeks professional development opportunities to enhance his skills and knowledge in mechanical engineering. He has completed courses in industry safety, heat convection studies, and well logging, which have equipped him with practical insights and enhanced his engineering capabilities. With hands-on experience at Hyundai and Samsung, he is well-versed in real-world applications of engineering principles. Saad continually strives to stay updated with the latest technologies, making him a valuable asset in any engineering environment.

Research Focus

Saad’s research focus lies in thermal power engineering, particularly in the study of heat transfer and fluid dynamics. He explores the principles of forced and natural convection, utilizing computational fluid dynamics (CFD) for innovative solutions in thermal applications. His hands-on experience with various engineering projects enables him to bridge the gap between theoretical concepts and practical implementations. Saad aims to contribute to advancements in energy efficiency and thermal management, making a meaningful impact in the field of mechanical engineering.

Awards and Honors

Certificate of Completion: Study of Forced Heat Convection
Certificate of Completion: Study of Natural Heat Convection
Certificate: General Industry Safety and Health
Certificate: Well Logging and Safety
Recognized for Outstanding Performance at Hyundai Company
Recognized for Commitment to Safety at Osha Foundation

Publications

Analysis of thermohydraulic flow and enhancement heat performance in 3D dimple tube based on varying geometrical configurations – Cited by 1 document, 2024
Evaluation of hydraulic thermal flow and heat performance augmentation in a 3D tube fitted with varying concavity dimple turbulator configurations – Cited by 0 documents, 2024

Conclusion

In conclusion, Saad Raad Mujid’s strong academic qualifications, practical experience, and commitment to safety and collaborative research make him a highly suitable candidate for the Best Researcher Award. Recognizing his contributions would not only honor his dedication but also inspire continued excellence in the field of mechanical and thermal engineering.