Mutiu Shola Bakare | Engineering | Best Researcher Award

Mutiu Shola Bakare | Engineering | Best Researcher Award

Mutiu Shola Bakare, Kampala International University, Uganda, Uganda

Mutiu Shola Bakare is a PhD candidate in Electrical and Electronics Engineering at Kampala International University, Uganda (2022-present) πŸ“š. He holds an M.Eng. from the University of Ilorin, Nigeria, and a B.Eng. from the Federal University of Technology Minna, Nigeria 🏫. As an Assistant Lecturer at Kampala International University, he specializes in electrical engineering subjects like Power Quality Management and Circuit Theory ⚑. His research focuses on renewable energy, smart grids, and energy management πŸ”‹. Bakare has contributed to numerous publications, seminars, and conferences 🌍. He is proficient in MATLAB/Simulink and Microsoft Office πŸ“Š.

Publication profile

google scholar

Academic background

John is currently pursuing a Doctor of Philosophy (PhD) in Electrical and Electronics at Kampala International University, starting in 2022. He previously completed his Master of Engineering (M. Eng.) in Electrical and Electronics from the University of Ilorin, Nigeria, between 2017 and 2021. Prior to that, John earned a Bachelor of Engineering (B. Eng.) in Electrical and Computer Engineering from the Federal University of Technology Minna, Nigeria, graduating with a Second Class Upper Division in 2014. His academic journey showcases a robust foundation and continuous dedication to excellence in the field of electrical engineering. βš‘πŸ”§

Experience

John Doe is an Assistant Lecturer at Kampala International University, Uganda, specializing in Electrical and Electronics Engineering since 2022. He teaches courses such as Electrical Installation and Maintenance, Power Generation, Transmission and Distribution, Circuit Theory, and Power Electronics. πŸ“š Previously, he was a Research Assistant at the University of Ilorin, Nigeria, focusing on Advanced Power and Green Energy Research from 2019 to 2022. 🌱 Prior to this, he tutored Physics and Further Mathematics at Government Day Secondary School (2018-2019). πŸ”§ His experience includes working as a Site Engineer at Thamar Engineering Company Limited (2015-2018), where he managed various electrical installations, including transformers and generators. ⚑

Research focus

Mutiu Shola Bakare is a prominent researcher focusing on smart grid technologies and energy management. His research primarily revolves around the development of intelligent systems for demand-side energy management, incorporating techniques such as fuzzy logic, ANFIS, and gene expression programming. He explores solutions for integrating hybrid energy sources, optimizing load forecasting, and enhancing the efficiency of grid-connected systems. Bakare’s work significantly contributes to the advancement of energy informatics and the performance evaluation of energy management systems, promoting sustainable and efficient energy usage in modern smart grids. πŸ”

Publication top notes

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Development of fuzzy logic-based demand-side energy management system for hybrid energy sources

Performance Evaluation of Different Membership Function in Fuzzy Logic Based Short-Term Load Forecasting.

Simulation based testing and performance investigation of induction motor drives using matlab simulink

A hybrid long-term industrial electrical load forecasting model using optimized ANFIS with gene expression programming

PREDICTIVE ENERGY CONTROL FOR GRID-CONNECTED INDUSTRIAL PV-BATTERY SYSTEMS USING GEP-ANFIS

e-Prime-Advances in Electrical Engineering, Electronics and Energy

PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

Energy Reports

 

 

 

Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan, East China Jiaotong University, China

Dr. Tongtong Wan is an accomplished scholar in civil engineering. She earned her Ph.D. from Chang’an University (2017-2023) and her Bachelor’s from Nanchang Hangkong University (2013-2017). She gained international experience as a visiting student at Nottingham University (2020-2021) 🌍 and is currently a lecturer at East China Jiaotong University (2023-present) πŸ‘©β€πŸ«. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” πŸ…. Dr. Wan has presented at major conferences and participated in several key research projects, earning accolades such as the best wall poster award and a national scholarship 🌟.

 

Publication Profile

Education πŸŽ“

Dr. Tongtong Wan earned her Ph.D. in civil engineering from Chang’an University (2017-2023) and her Bachelor’s degree from Nanchang Hangkong University (2013-2017).

Experience 🌍

She expanded her academic horizons as a visiting student at Nottingham University (2020-2021) and currently serves as a lecturer at East China Jiaotong University (2023-present).

Academic Achievements πŸ…

Dr. Wan’s research centers on inverted pavement, unbound aggregates, slushing processes, and pavement detection. She has published around 10 papers in international and Chinese journals, including an article in the prestigious “Computer-Aided Civil and Infrastructure Engineering.” She has presented at notable conferences like WTC and SATC, winning the best wall poster award. Additionally, she was awarded a national scholarship for her studies at Nottingham University. Her contributions extend to projects under the National Natural Science Foundation, the Ministry of Transport, and the Hebei Provincial Department of Transportation, garnering recognition from experts in her field.

Research Focus

Dr. Tongtong Wan’s research focuses on several key areas in civil engineering, particularly in pavement engineering. Her work includes studying inverted asphalt pavement structures, optimizing evaluation indicators for asphalt pavement surface segregation, and examining the thermal contraction behavior between unbound aggregate layers and asphalt mixtures 🌟. She employs advanced methods such as the finite difference and discrete element coupling method and response surface method in her research πŸ› οΈ. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions πŸ“±. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” πŸ“š.