Guo Ren Mong | Engineering | Best Researcher Award

Guo Ren Mong | Engineering | Best Researcher Award

Assist Prof Dr Guo Ren Mong, xiamen university malaysia, Malaysia

Assist. Prof. Dr. Guo Ren Mong appears to be a strong candidate for the “Best Researcher Award”.

Publication profile

google scholar

Educational Background

He has a solid academic foundation with a Ph.D. in Mechanical Engineering, during which he worked on innovative research in biofuel production from horse manure. His work was recognized with the Chancellor Award, highlighting his academic excellence.

Research Contributions

His research interests are deeply rooted in renewable energy, particularly in waste-to-energy transformation and pyrolysis technology. He has led several significant research projects, including studies on microwave pyrolysis of plastic waste and industrial sludge, which demonstrate his innovative approach to solving environmental challenges.

Publications

Dr. Mong has contributed to high-impact journals, with publications that focus on advancements in combustion technologies, pyrolysis, and renewable energy. His work has been widely cited, showcasing his influence in the field.

Awards and Recognitio

He has received multiple awards, including gold medals and best presenter awards at international conferences, reflecting his impact and recognition in the academic community.

Teaching and Mentorship

His role as an educator and mentor further solidifies his qualifications. He has successfully guided both undergraduate and postgraduate students, contributing to the academic and professional development of future engineers and researchers.

Given his academic achievements, innovative research contributions, and recognition within the academic community, Dr. Guo Ren Mong is indeed a suitable candidate for the “Best Researcher Award.”

Publication top notes

Advancements of combustion technologies in the ammonia-fuelled engines

Pyrolysis characteristics and kinetic studies of horse manure using thermogravimetric analysis

Microwave pyrolysis for valorisation of horse manure biowaste

Progress and challenges in sustainable pyrolysis technology: Reactors, feedstocks and products

Multivariate optimisation study and life cycle assessment of microwave-induced pyrolysis of horse manure for waste valorisation and management

Bibliometric analysis of the research landscape on rice husks gasification (1995–2019)

Pyrolysis of waste activated sludge from food manufacturing industry: Thermal degradation, kinetics and thermodynamics analysis

Effects of swirler vane angle on palm biodiesel/natural gas combustion in swirl-stabilised gas turbine combustor

Controlling infectious airborne particle dispersion during surgical procedures: Why mobile air supply units matter?

Correlating black soldier fly larvae growths with soluble nutrients derived from thermally pre-treated waste activated sludge

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) 📚. 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 🔋. Bakare has contributed to numerous publications, seminars, and conferences 🌍. He is proficient in MATLAB/Simulink and Microsoft Office 📊.

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. ⚡🔧

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. 📚 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). 🔧 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. 🔍

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

 

 

 

Ibrahim Sadek | Engineering | Best Researcher Award

Ibrahim Sadek | Engineering | Best Researcher Award

Dr Ibrahim Sadek, Helwan University, Egypt

Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore 🌍. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus 🇪🇬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity 🚀. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB 💡.

Publication profile

google scholar

Education

He completed his Ph.D. in Computer Science from the University of Montpellier, France 🇫🇷, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore 🇸🇬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK 🇬🇧, University of Burgundy in France, and University of Girona in Spain 🇪🇸. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt 🇪🇬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria 🇧🇬 through the Erasmus Mundus program. 🎓🌟

Experience

During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. 📊❤️ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. 🎓🧠 As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. 🌍🖥️ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. 🏫📚 Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. 🔍💻 My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. 🏆🔬

Awards

During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant 🌟, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore 🏥, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea 😴. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 📜 for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) 🤖, coordinated by three European universities. Earlier, I won the Young Innovator’s Award in 2010 🏆 for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window 🎓, coordinated by the University of Chemical Technology’s biotechnology engineering department.

Research focus

Ibrahim Sadek‘s research primarily focuses on nonintrusive health monitoring, emphasizing the use of advanced signal processing techniques for various medical applications. His work spans ballistocardiogram (BCG) signal processing for heart rate and vital signs monitoring 🩺💓, nonintrusive methods for sleep apnea detection 🛌💤, and the application of machine learning and IoT technologies in healthcare 🧠📡. Sadek also explores image processing for retinal health analysis 👁️🖼️, privacy and security concerns in IoT-based healthcare systems 🔐📱, and comparative studies of wearable and non-wearable devices for health tracking 🚶‍♂️📲. His research integrates interdisciplinary approaches to enhance non-invasive medical diagnostics and patient monitoring systems.