GAMAL ABDELNASSER ALLAM ABOUZIED | Engineering | Best Researcher Award

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Mr. GAMAL ABDELNASSER ALLAM ABOUZIED | Engineering | Best Researcher Award

Assistant Researcher, National Water Research Center, Egypt

Gamal Abdelnasser Allam Abouzied is a promising candidate for the Research for Best Researcher Award. He holds a PhD in Earthquake and Environmental Hazards from Università Degli Studi G. D’Annunzio Di Chieti-Pescara and has accumulated over eight years of research experience. His educational background includes a master’s degree from CIHEAM Bari and a bachelor’s degree in civil engineering from Cairo University. His deep-rooted commitment to advancing geospatial knowledge in civil engineering, water resources, and climate change makes him an exemplary candidate.

 

Publication Profile

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Education Background 

Gamal Abdelnasser Allam Abouzied has a robust educational background in civil engineering and environmental hazards. He earned his Bachelor’s degree in Civil Engineering from Cairo University, followed by a Master’s in Land and Water Resources Management from the Mediterranean Agronomic Institute of Bari (CIHEAM). He further advanced his studies by completing a PhD in Earthquake and Environmental Hazards at Università Degli Studi G. D’Annunzio Di Chieti-Pescara. His education emphasizes sustainable practices in water resource management and climate resilience.

Professional Experiences

Currently, Gamal serves as a Technical Advisor at Planetek Italia Srl, where he plays a pivotal role in project planning and management. His responsibilities include ensuring project objectives are met and fostering collaboration between teams. Previously, as an Assistant Researcher at the National Water Research Center in Egypt, he planned and managed national research projects, focusing on irrigation and water resource management. His experience also extends to using simulation models and nontraditional water resources in agriculture, showcasing his expertise in practical applications of his research.

Research Contributions

Gamal’s research is characterized by significant contributions to the understanding of climate data and its implications for water resource management. His doctoral thesis focused on creating a comprehensive daily time series for Central Italy, addressing challenges in precipitation data that are crucial for effective climate change mitigation. His publications include studies on gap-filling methods for precipitation data, indicating his ability to develop innovative solutions to complex environmental issues.

Awards and Recognition

Gamal Abdelnasser Allam Abouzied has received recognition for his outstanding contributions to the fields of environmental hazards and water resource management. His work has been acknowledged at several international conferences, and his innovative research on climate data and water resources has earned him prestigious awards, including recognition from leading institutions such as CIHEAM Bari. Gamal’s expertise in remote sensing, simulation modeling, and geospatial data analysis has positioned him as a respected figure in his field, further enhancing his reputation among peers and collaborators worldwide.

Conclusion

Given his extensive academic qualifications, professional experience, and impactful research contributions, Gamal Abdelnasser Allam Abouzied stands out as a highly suitable candidate for the Research for Best Researcher Award. His dedication to advancing knowledge in environmental hazards and water resources, combined with his ability to collaborate effectively in multidisciplinary teams, makes him an ideal recipient of this prestigious award.

Publication Top Notes  

  1. Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019. Geoscience Data Journal (2024) 🌧️ DOI: 10.1002/gdj3.267
    Cited by: Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo
  2. Understanding future hydrologic challenges: Modelling the impact of climate change on river runoff in central Italy. Environmental Challenges (2024) 🌍 DOI: 10.1016/j.envc.2024.100899
    Cited by: Mohsin Tariq, A.N. Rohith, R. Cibin, Eleonora Aruffo, Piero Di Carlo
  3. Design of large-scale on-demand irrigation system in the agricultural area of Corato, Apulia, Italy. Agriculture and Forestry (2018) 🌱 DOI: 10.17707/agricultforest.64.4.11
    Cited by: Marija Markoc, Milica Colovic, Shawkat Basel, Qotada Al-Ali.

qinghua Gui | Engineering | Best Researcher Award

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qinghua Gui | Engineering | Best Researcher Award

Mr qinghua Gui, University of Science and Technology of China, China

Based on the provided details, it seems that Qinghua Gui is a suitable candidate for a “Best Researcher Award,” particularly within the field of engineering, specifically sodium-ion battery condition monitoring. However, the articles listed under Paola Imperatore do not align with Qinghua Gui’s research focus, as they are concentrated in sociopolitical and environmental mobilization topics.

Publication profile

Orcid

Education

A Doctor of Engineering (D.E.) is an advanced professional degree that focuses on applying engineering principles to real-world problems. This degree typically emphasizes research, innovation, and practical solutions in various fields such as civil, mechanical, electrical, and industrial engineering. D.E. graduates often lead in academia, industry, or government, contributing to technological advancements, infrastructure development, and cutting-edge engineering projects. The program combines rigorous coursework with applied research, equipping professionals with the skills to solve complex engineering challenges and drive progress in their respective fields. 🌍🔧💡

Towards an Ecological Transition from Below

This article explores worker mobilization within the automotive sector, analyzing how grassroots efforts contribute to ecological transitions. It provides insights into the intersection between labor and environmental activism, which is a timely and significant contribution to understanding social movements.

Le trasformazioni del movimento ambientalista in Italia

This study addresses the transformation of Italy’s environmental movement, particularly the balance between institutionalization and conflict. The focus is on the evolution of environmental activism, offering valuable historical and political context for the environmental discourse in Italy.

A Working-Class Environmentalism: The GKN Case Study

This article examines class-based environmentalism, particularly within the GKN case. It highlights the intersection of labor and environmental struggles, emphasizing the role of the working class in advocating for environmental justice. This is an important perspective in sociological and labor studies.

Territories and Protest: Mobilization Opportunities

In this paper, Imperatore explores the relationship between political opportunities and protest mobilization, focusing on cases such as the No TAP and No Grandi Navi movements. This study provides a theoretical framework for understanding how political and discursive factors influence environmental protests.

The Case of the Excavation in the Apuan Alps

This article discusses the environmental and social impact of excavation in the Apuan Alps. It focuses on environmental degradation and the local protests that have emerged in response. This case study underscores the complex interaction between industry, environment, and local activism.

Research focus

Qinghua Gui’s research focuses on energy materials, specifically in the field of sodium-ion batteries and solar energy systems. His work explores the behavior of cathode materials like NaNi₁/₃Fe₁/₃Mn₁/₃O₂ and Na₄Fe₃(PO₄)₂(P₂O₇) under thermal runaway conditions, contributing to battery safety and performance. Additionally, he has worked on improving solar energy efficiency through the design of compound parabolic concentrators to minimize light loss in vacuum tubes. His expertise spans energy storage, photo-thermal conversion, and renewable energy technology development. 🔋☀️⚡

Conclusion

While Paola Imperatore’s research is diverse and covers vital topics in environmental activism, labor studies, and political sociology, it does not match Qinghua Gui’s field of expertise in sodium-ion battery condition monitoring. For the “Best Researcher Award” within an engineering or technological research context, Qinghua Gui would be a stronger candidate. Conversely, Paola Imperatore would be an excellent candidate for awards focused on environmental sociology or labor activism research.

Publication top notes

Comparison of NaNi<sub>1/3</sub>Fe<sub>1/3</sub>Mn<sub>1/3</sub>O<sub>2</sub> and Na<sub>4</sub>Fe<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub>(P<sub>2</sub>O<sub>7</sub>) cathode sodium-ion battery behavior under overcharging induced thermal runaway

Capacity degradation study of NaNi1/3Fe1/3Mn1/3O2 cathode sodium-ion batteries induced by overcharge

Preliminary study on photo-thermal conversion investigation of compound parabolic concentrator for eliminate light escape in vacuum tube interlayer

 

 

Marina Guindi | Electrical Engineering | Best Researcher Award

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Ms. Marina Guindi | Electrical Engineering | Best Researcher Award

Ms. Marina Guindi, American University of Kuwait, Kuwait

Based on the information provided, Ms. Marina Guindi appears to be a strong candidate for the Best Researcher Award due to her academic excellence, teaching experience, and involvement in research projects in electrical engineering. Below is an evaluation of her qualifications organized under relevant titles:

Publication profile

Academic Excellence 🎓

Marina Guindi has a solid educational background in electrical engineering, having completed her Bachelor of Engineering at the American University of Kuwait with high honors (Magna Cum Laude) and consistently placed on the Dean’s and President’s honor lists. Her academic journey continued with a Master of Science in Electrical Engineering from Kuwait University, graduating with distinction. These achievements demonstrate her commitment to academic excellence and intellectual growth.

Teaching Experience 🏫

Marina has accumulated significant teaching experience as a Teaching Assistant at Kuwait University and the American University of Kuwait. This experience, spanning multiple years and institutions, highlights her ability to convey complex concepts, engage students in the learning process, and contribute to academic environments. Her role as a teaching assistant also suggests strong communication and leadership skills, which are vital for a researcher.

Research Projects 🔍

Marina has demonstrated her research capabilities through her senior capstone project on “Motor Current Signature Analysis for Fault Detection in Induction Motors” and her master’s thesis focused on the “Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations.” Both projects are highly relevant to contemporary challenges in electrical engineering, showcasing her ability to address complex technical problems and contribute innovative solutions.

Technical Skills 💻

Marina is proficient in various technical tools and programming languages, including MATLAB, Simulink, LabVIEW, PSpice, and Java. Her skills in using specialized software like Multisim, Ultiboard, and Quartus indicate her readiness to engage in advanced research and development projects. These competencies enhance her ability to carry out sophisticated analyses and simulations, which are essential for cutting-edge research.

Publication Top Notes  

Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations

Signature Analysis as a Medium for Faults Detection in Induction Motors

Conclusion 🏆

Marina Guindi’s academic achievements, teaching experience, research projects, and technical skills make her a compelling candidate for the Best Researcher Award. Her background suggests a strong potential for future contributions to electrical engineering research, particularly in the areas of renewable energy integration and fault detection systems. Her commitment to education and research excellence aligns with the criteria typically sought for such prestigious recognition.

 

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

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

Tongtong Wan | Engineering Award | Best Researcher Award

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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) 👩‍🏫. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” 🏅. 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

Scopus

Education 🎓

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 🏅

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 🛠️. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions 📱. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” 📚.

 

Publication Top Notes

A method determining critical operating parameters for landing aircraft based on runway pavement skid resistance