Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

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Ms. Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

Ms. Israa Dheyaa Khalaf Al-Rubaye, University of Pisa, Italy

🎓 Ms. Israa Dheyaa Khalaf Al-Rubaye is a PhD candidate in Smart Industry at the University of Pisa, Italy (2022–2024), specializing in Electrical Discharge Machining (EDM) and green energy technologies. She has expertise in innovative electrode design, cryogenic treatment, and biodiesel-based dielectric fluids to optimize machining processes for precision, energy efficiency, and sustainability. With a Master’s in Industrial-Mechanical Engineering from the University of Technology, Baghdad, she collaborates with leading institutions like CNR and NANESA. 🛠️ Her published research focuses on green EDM, advanced materials, and process optimization. Ms. Al-Rubaye is fluent in Arabic and English. 🌍

 

Publication Profile

Orcid

🎓 Education Qualifications

Ms. Israa Dheyaa Khalaf Al-Rubaye is currently a PhD candidate in the Smart Industry program at the University of Pisa, Italy, where she has been specializing in advanced manufacturing and sustainable technologies since 2022. Her doctoral research focuses on Electrical Discharge Machining (EDM) and green energy applications, demonstrating her commitment to innovation and environmental impact reduction. 🌍 Prior to this, she earned her Master’s degree in Industrial-Mechanical Engineering from the University of Technology, Baghdad, Iraq (2012–2016), gaining a strong foundation in mechanical systems and industrial process optimization. 🛠️

 

💼 Work Experience and Profession

Ms. Israa Dheyaa Khalaf Al-Rubaye has extensive experience in both academic and industrial settings. Since January 2022, she has been a Ph.D. candidate in the Smart Industry Department at the University of Pisa, Italy, where she conducts cutting-edge research in Electrical Discharge Machining (EDM) and green energy technologies. 🌱 She has collaborated with CNR and NANESA institutions, contributed to the development of green dielectric fluids, and designed innovative EDM electrodes. Prior to her Ph.D., she worked as a Planning and Follow-up Engineer at the Company for Land Transportation, Iraq, where she supported strategic planning and project coordination. 🚗

 

🔬 Research Focus

Ms. Israa Dheyaa Khalaf Al-Rubaye’s research primarily focuses on Electrical Discharge Machining (EDM), with an emphasis on optimizing die-sinking EDM processes and improving machining performance through innovative electrode designs, such as her work on U-shaped electrodes. Her research also explores green energy technologies, specifically the use of eco-friendly dielectric fluids to reduce environmental impact in industrial processes. 🌱 She investigates cutting-edge materials, including the integration of graphene coatings and biodiesel-based dielectric fluids, to enhance energy efficiency and machining precision. Her work contributes to advancing sustainable manufacturing practices and innovative machining technologies. ⚙️

 

📚 Publications

  • “Effect of manufacturing new U-shaped electrode on die sinking EDM process performance” – Machining Science and Technology, Nov 2024. DOI: 10.1080/10910344.2024.2414263 ⚙️
  • “Toward green electrical discharge machining (EDM): state of art and outlook” – Machining Science and Technology, Jan 2023. DOI: 10.1080/10910344.2023.2194961 🌱

 

 

BURAK AKIN | Engineering | Best Researcher Award

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BURAK AKIN | Engineering | Best Researcher Award

Assist. Prof. Dr BURAK AKIN, YTU, Turkey

Assist. Prof. Dr. Burak Akın is an academician at Yıldız Technical University, specializing in Electrical and Electronics Engineering. He holds a doctorate from Yıldız Technical University (2001-2008) and has extensive research in energy, renewable energy, and engineering technology. He has been an Assistant Professor since 2013, also holding roles such as Deputy Head of the Department and Commission Chair. Dr. Akın advises postgraduate and doctoral students, with research published in SCI journals. His academic contributions extend to organizing national and international scientific events and refereeing for journals. His expertise includes power systems, battery management, and optimization algorithms. ⚡📚🔋

Publication Profile

Scopus

Education & Career

Assist. Prof. Dr. Burak Akın is an accomplished expert in Electrical and Electronics Engineering with a Doctorate from Yıldız Technical University, Turkey. With over two decades of academic experience, he began his career as a research assistant and progressively advanced to his current role as an assistant professor. Dr. Akın is dedicated to research and education in his field, contributing significantly to advancements in Electrical and Electronics Engineering. Currently serving at Yıldız Technical University, he continues to inspire and mentor students while driving forward innovative research. 🔬📚💡🎓

Academic & Administrative Roles

Dr. Akın is a dedicated academic leader at Yıldız Technical University, actively engaged in shaping educational strategies and overseeing key academic initiatives. He holds leadership roles in various university committees, where he influences decision-making processes and contributes to the growth of the institution. Dr. Akın is also deeply involved in supervising multiple postgraduate theses, guiding students through their research journeys. His commitment to academic excellence and leadership is evident in his continuous efforts to enhance the university’s educational framework and support the next generation of scholars. 🎓📚💼👨‍🏫

Non-Academic Experience

Dr. Akın has significantly contributed to various legal proceedings by offering his expert knowledge in electrical engineering and technology. His insights have proven invaluable in legal contexts, showcasing his ability to bridge the gap between technical expertise and legal matters. With a strong background in engineering, Dr. Akın has applied his skills in areas like patent law, intellectual property, and technology-related disputes. His versatility in both technical and legal domains has enhanced his professional reputation, allowing him to be a trusted expert in his field. ⚖️🔌📚💡

Projects

B. Akın has contributed to various projects focused on power electronics and renewable energy systems. Key projects include the development of a safe onboard charging unit for electric vehicle batteries (TÜBİTAK, 2023) and a three-phase power factor correction circuit for charging stations (TÜBİTAK, 2022-2023). He also worked on a compact DC/DC converter (2020-2021), a smart turnstile system (TÜBİTAK, 2018-2019), and solutions for reducing the impact of energy-efficient lamps on the grid (2015-2017). Other notable projects include induction ovens (2011-2013) and power factor correction circuits (2005-2008), emphasizing renewable energy applications 🌍🔋⚡.

Book Chapters

Assist. Prof. Dr. Burak Akın contributed to several important topics in physics in 2015. He authored chapters in the book Fen ve Mühendisler için Fizik (Physics for Science and Engineers), edited by D. Esra Yıldız, Erol Kurt, and H. Hilal Kurt, published by Nobel Yayın Dağıtım. His chapters include Kinetic Theory of Gases (pp. 1-17), Temperature, Heat, and Heat Transfer (pp. 1-17), and The First and Second Laws of Thermodynamics (pp. 1-17). These works have provided valuable insights into fundamental principles of physics for engineering and science students. ⚛️📚🌡️

Research Focus

Assist. Prof. Dr. Burak Akın’s research primarily focuses on optimization techniques for energy systems, particularly in photovoltaic (solar power) applications. His work includes innovative algorithms such as the grey wolf optimization and hybrid particle swarm algorithms for efficient energy management, battery charging, and maximum power point tracking (MPPT). Additionally, he explores feedback control systems and converter designs, aiming to improve energy storage systems and power conversion efficiency. His contributions support sustainable energy solutions, particularly in optimizing the performance of solar and battery systems. 🌞⚡🔋🧑‍💻

Publication Top Notes

A modified multi-stepped constant current based on gray wolf algorithm for photovoltaics applications

An improved constant current step-based grey wolf optimization algorithm for photovoltaic systems

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink

A novel hybrid series salp particle Swarm optimization (SSPSO) for standalone battery charging applications

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems

DESIGN AND ANALYSIS OF A FLYBACK CONVERTER WITH IMPROVED SNUBBER CELLS

Guo Ren Mong | Engineering | Best Researcher Award

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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

Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

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Mr. Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi,Florida Atlantic University, United States

Dr. Adib Mahmoodi Nasrabadi is a Mechanical Engineering Ph.D. graduate from Florida Atlantic University (2023). He holds a Master’s degree in Mechanical Engineering from Iran University of Science and Technology (2019-2022), and a Bachelor’s degree from the University of Kurdistan (2009-2013). His research focuses on thermodynamics, renewable energy, and optimization, with expertise in CFD, micro and nanofluids, and thermal management. Adib has published several papers in prestigious journals, including the International Journal of Hydrogen Energy. He is proficient in various software tools like ANSYS-Fluent and Solidworks and programming languages like MATLAB and Python. 🛠️📊📚

 

Publication Profile

Google Scholar

🎓 Education

Adib Mahmoodi Nasrabadi holds a Ph.D. in Mechanical Engineering from Florida Atlantic University (2023), an MSc in Mechanical Engineering from Iran University of Science and Technology (2019-2022, GPA: 3.87/4), and a BSc in Mechanical Engineering from the University of Kurdistan (2009-2013, GPA: 3/4).

🏅 Honors and Awards

Adib has achieved significant academic honors, including top ranks in national exams and competitions.

 

Research Focus

Adib Mahmoodi Nasrabadi is a mechanical engineer specializing in thermodynamics, renewable energy, and thermal management. His research includes optimization using neural networks and genetic algorithms, focusing on micro and nano fluids and computational fluid dynamics (CFD). Adib’s work is characterized by a strong emphasis on energy systems, particularly microfluidic microbial fuel cells and renewable-based power generation. His expertise extends to software tools like ANSYS-Fluent and Solidworks, and programming languages such as MATLAB and Python. Adib’s contributions are reflected in numerous publications on energy analysis and optimization. 🌍🔋🧪💻📊.

Publication Top Notes

  • Design, modeling and optimization of a renewable-based system for power generation and hydrogen production – JR Mehrenjani, A Gharehghani, AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (31), 14225-14242. Cited by: 51 (2022) 🌍🔋
  • Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO – AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (7), 4854-4867. Cited by: 29 (2022) 🧪🤖
  • Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran – AM Nasrabadi, M Korpeh. International Journal of Hydrogen Energy 48 (36), 13343-13361. Cited by: 26 (2023) ☀️🌬️
  • Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran – AM Nasrabadi, O Malaie, M Moghimi, S Sadeghi, SM Hosseinalipour. Energy Conversion and Management 267, 115946. Cited by: 25 (2022) 🌱🏡
  • Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs – AM Nasrabadi, M Moghimi. Journal of Power Sources 564, 232871. Cited by: 10 (2023) 🧫🔋
  • 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective – AM Nasrabadi, M Moghimi. Sustainable Energy Technologies and Assessments 53, 102742. Cited by: 9 (2022) 🌊⚡
  • Full analysis and deep learning optimization of a sustainable and eco-friendly power plant to generate green hydrogen and electricity; a zero-carbon approach – P Asadbagi, AM Nasrabadi, CM Hall. Process Safety and Environmental Protection. 2024 🌿🔋

Mutiu Shola Bakare | Engineering | Best Researcher Award

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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

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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.

Publication top notes