Shichang Chen | Tech Innovations | Best Researcher Award

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Shichang Chen | Tech Innovations | Best Researcher Award

Dr Shichang Chen, Zhejiang Sci-Tech University, China

Dr. Shichang Chen 🎓🔬 is a distinguished researcher in polymer materials and engineering. He earned his Ph.D. from Zhejiang Sci-Tech University (2017) and completed postdoctoral research at Zhejiang University (2019-2022). Currently, he is a faculty member at Zhejiang Sci-Tech University. His innovations have led to large-scale reactor applications, with 40 invention patents (22 authorized) and transactions exceeding 100 million yuan 💡💰. He has led multiple national and provincial projects and published 40+ papers in top journals 📄📚. Recognized with prestigious awards, including Zhejiang Province’s High-level Talent Support Program (2024), Dr. Chen advances polymer science and engineering globally 🌍.

Publication Profile

Scopus

Education and Experience

Dr. Shichang Chen 🎓 is a dedicated researcher in polymer materials. He earned his Bachelor’s degree in Polymer Materials and Engineering from Yangtze University (2007-2011) 🏛️. He then pursued his Ph.D. in Textile Science and Engineering at Zhejiang Sci-Tech University (2011-2017) 🧵🔬. Following this, he completed a postdoctoral fellowship in Materials Science and Engineering at Zhejiang University (2019-2022) 🏅. Since 2017, he has been contributing to the Department of Polymer Materials at Zhejiang Sci-Tech University 📚🧪. His expertise spans polymer materials, textiles, and advanced material sciences, driving innovation in the field 🚀.

Research Funding & Projects

Dr. Shichang Chen 🎓🔬 has successfully secured and led multiple prestigious research projects, showcasing his expertise in scientific innovation. His achievements include securing 2 National Funds 🇨🇳, 2 Zhejiang Provincial Funds 🏅, and 10 Enterprise Projects 💼. He has actively contributed to key national research initiatives, including the 973 Program 🔍, National Key R&D Programs 🧪, and three strategic consulting research projects at the Chinese Academy of Engineering 🏛️. Dr. Chen’s dedication to advancing research and technological development continues to make a significant impact in his field. 🚀📚

Research Achievements 

Dr. Shichang Chen has made remarkable contributions to reactor applications for 10,000-ton and 1,000-ton production lines ⚙️🏭. He has declared 40 invention patents, with 22 authorized, and patent transactions exceeding 100 million yuan 💡💰. As a lead researcher, he has hosted 2 national funds, 2 Zhejiang Provincial funds, and 10 enterprise projects, while also playing a key role in national 973 and strategic consulting research projects 📊🔬. With a strong academic presence, he has published a book and 40 papers in top-tier journals like Macromolecules, focusing on polymers and chemical engineering 📖🧪.

Honor Award 

Dr. Shichang Chen 🎓 is a distinguished researcher recognized for his contributions to textile science. In April 2024, he was selected for the Zhejiang Province High-level Talent Support Program as a young top talent 🌟. The previous month, he joined the Zhejiang Academician Pair Young Talents Program 🏅. His excellence was also acknowledged in October 2021 when he was awarded the China Association for Science and Technology Youth Lifting Talent Project 🚀. Additionally, he serves as a Young Editorial Member for the EI Journal of Textile Research (December 2021) and Modern Textile Technology (January 2023) 📖🔬.

Research Focus

Dr. Shichang Chen’s research focuses on polymer engineering, mooring rope mechanics, and chemical process simulations 🔬⚙️. His work includes dynamic stiffness analysis of damaged polyester mooring ropes 🛳️, the mechanical behavior of aramid and polyester fibers under loading history ⚡, and falling film polymerization processes 🏭. He also explores numerical simulation of variable viscosity fluids 💻🔄 and waste PET depolymerization for recycling ♻️🧪. His studies contribute to marine engineering, textile chemistry, and sustainable polymer recycling, advancing both industrial applications and environmental sustainability 🌍🔄. His expertise spans mechanics, materials science, and chemical engineering 🏗️⚗️.

Publication Top Notes

Dynamic stiffness of full-scale damaged polyester mooring ropes

Effects of bedding-in loading history on mechanical behaviors of aramid HMPE and polyester mooring ropes

Process Simulation of falling film liquid-state polymerization of polyester

Numerical Simulation Strategy and Applications for Falling Film Flow with Variable Viscosity Fluids

Depolymerization of waste poly(ethylene terephthalate) into bis(2-hydroxyethyl) terephthalate: Catalytic glycolysis mechanism and kinetics

Ayat-Allah Bouramdane | Engineering and Technology | Best Researcher Award

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Ayat-Allah Bouramdane | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Ayat-Allah, Bouramdane International University of Rabat, Morocco

Assist. Prof. Dr. Ayat-Allah Bouramdane is a passionate academic in renewable energy, currently an Assistant Professor at the International University of Rabat (IUR). He previously led the Modeling Group at GEP-IRESEN-UM6P, establishing impactful research on climate change and energy systems. With a Ph.D. from the Institut Polytechnique de Paris, his work focuses on large-scale solar and wind integration, energy storage, and climate change. Dr. Bouramdane has contributed significantly to publications and international reports on smart cities and energy systems. He’s recognized for his research excellence, earning multiple awards, including Best Researcher in 2023 and 2024. 🌍⚡📚🏆

Publication Profile

Google Scholar

Academic Background

Assist. Prof. Dr. Ayat-Allah Bouramdane holds a Ph.D. from the Institut Polytechnique de Paris (IP Paris), where he researched large-scale solar and wind integration in Morocco, focusing on storage, cost, complementarity, and climate change impacts. He completed his thesis at the Laboratoire de Météorologie Dynamique (LMD) and contributed to the Energy4Climate Interdisciplinary Center (E4C). He earned a Master’s in Energy Environment from École Polytechnique with a GPA of 3.68/4 and a Bachelor’s in Energy Engineering from Université Internationale de Rabat. Dr. Bouramdane also studied at the University of Lorraine and completed his high school with honors. 🌞⚡🌍🎓

Experiences

Assist. Prof. Dr. Ayat-Allah has been serving as an Assistant Professor (Grade A) at the International University of Rabat (IUR) since April 2023, working in the Laboratory of Renewable Energies and Advanced Materials (LERMA) in the College of Engineering and Architecture. Previously, he was a Postdoctoral Researcher and Head of the Modeling Group at the Green Energy Park (GEP), Mohammed VI Polytechnic University, from January to October 2022, where he established the “Climate Change – Energy” group. He also supervised student projects and coordinated research in collaboration with OCP, UM6P, and IRESEN. Earlier, he completed his doctoral studies at l’X – IP Paris. 🌍💡📚

Awards and Recognitions

Assist. Prof. Dr. Ayat-Allah Bouramdane is an accomplished researcher recognized for his contributions to energy systems and sustainability. He contributed to REN21’s Renewables 2024 Global Status Report in both the “Energy Supply” and “Energy Systems & Infrastructure” modules 🌍. He has received multiple accolades, including the Best Researcher Award in 2023 and 2024 🏆. He’s a trusted reviewer with IOP Publishing, and an active member of various organizations such as the Canadian-French Association for the Advancement of Science 🇨🇦 and Women in Green Hydrogen 🌱. Additionally, he serves on multiple editorial boards and scientific committees 📚🔬.

Teaching and Mentorship

Assist. Prof. Dr. Ayat-Allah Bouramdane is a respected academic with a strong track record in teaching and supervising students at prestigious institutions. His dedication to mentoring future engineers and researchers is evident through his active involvement in academic development. Dr. Bouramdane regularly leads technical conferences and workshops, where he plays a crucial role in keeping students updated on the latest challenges and advancements in energy and climate science. His contributions have helped shape the next generation of professionals in these critical fields. 🌱🔋📚🌍💡

Scientific Magazine

Assist. Prof. Dr. Ayat-Allah Bouramdane is a recognized expert in sustainable energy solutions. His works explore various aspects of energy transition, such as the role of critical materials in electric vehicle batteries 🚗🔋, the impact of green hydrogen on Africa’s energy future 🌍💧, and the optimization of hydrogen value chains using digital twins for smart grids ⚡🤖. He has also delved into AI’s role in mitigating climate change effects on agriculture 🌾🌱 and urban water use for sustainable cities 🌆💦. Dr. Bouramdane’s contributions span hydrogen technologies, AI applications, and energy resilience, with a focus on global sustainability and innovation 🌿🌍.

Research Focus

Assist. Prof. Dr. Ayat-Allah Bouramdane’s research focuses on optimizing energy systems, environmental sustainability, and cybersecurity in smart cities. He explores challenges in smart grid cybersecurity, including artificial intelligence for decision-making. His work on water management strategies aims to promote sustainability in urban settings. Additionally, Dr. Bouramdane investigates renewable energy integration, particularly solar and wind power, with a focus on Morocco. He also assesses climate change impacts, analyzing temperature and drought patterns using climate models. His multi-criteria decision-making frameworks are applied to areas like photovoltaic site suitability and offshore wind energy. 🌍💡🔋🌱🔐

Publication Top Notes

Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial intelligence, using …

Optimal water management strategies: paving the way for sustainability in smart cities

Assessment of CMIP6 multi-model projections worldwide: which regions are getting warmer and are going through a drought in Africa and Morocco? What changes from CMIP5 to CMIP6?

Scenarios of large-scale solar integration with wind in Morocco: impact of storage, cost, spatio-temporal complementarity and climate change

Adequacy of renewable energy mixes with concentrated solar power and photovoltaic in Morocco: Impact of thermal storage and cost

Identifying large-scale photovoltaic and concentrated solar power hot spots: Multi-criteria decision-making framework

Site suitability of offshore wind energy: A combination of geographic referenced information and analytic hierarchy process

Sandeep Jain | Engineering and Technology | Best Researcher Award

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Sandeep Jain | Engineering and Technology | Best Researcher Award

Dr Sandeep Jain, Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a metallurgical engineer and researcher with expertise in machine learning applications in alloy design, lightweight materials, and high-entropy alloys. He holds a Ph.D. (2023) and M.Tech. (2017) from IIT Indore and a B.E. in Mechanical Engineering (2013). Currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea, Dr. Jain focuses on designing multicomponent alloys and optimizing manufacturing processes. He has published extensively, including works on machine learning-driven phase prediction and flow stress modeling. Dr. Jain is a guest editor, reviewer for leading journals, and recipient of prestigious awards like the Global Best Achievement Award 2024. 🧪🤖🌍

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. 🎓 He earned his Ph.D. (2017-2023) and M.Tech (2015-2017) in Metallurgical Engineering and Materials Science from the prestigious Indian Institute of Technology Indore, achieving impressive CGPAs of 8.67 and 8.75, respectively. 📘✨ His journey in engineering began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured a commendable 68% score. 🔧📚 Dr. Jain’s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. 🚀🔬

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea 🇰🇷, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning 🤖. As a Research Associate at IIT Delhi 🇮🇳, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods 🌟. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies 🔬. Dr. Jain’s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development 🌍.

Teaching Experience

Dr. Sandeep Jain has an extensive teaching background in materials science and engineering. As a Teaching Assistant at the Indian Institute of Technology Indore (Dec 2017–Nov 2022 and July 2015–June 2017), he contributed to courses like Solidification and Phase Field Modelling, Computational Methods for Materials, and Physical Metallurgy. His expertise also spans practical modules, including Mechanical Workshop, Casting and Welding Lab. Earlier, he served as a Guest Faculty at Govt. Engineering College, Ajmer (Aug 2013–June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jain’s dedication to education blends technical knowledge with hands-on experience. 🎓🛠️📚

Awards / Fellowships

Dr. Sandeep Jain has earned prestigious accolades for his outstanding achievements in academia and research. In 2024, he was honored with the Global Best Achievement Awards 🎖️🌟, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship 🧑‍🎓📚 and the M.Tech. Fellowship 🎓🔬, both awarded by the Ministry of Human Resource Development (MHRD), Government of India. These honors highlight his dedication, innovation, and excellence in advancing knowledge and contributing to societal progress. Dr. Jain’s achievements continue to inspire and set benchmarks for aspiring scholars worldwide. 🚀📖

Research Focus

Dr. Sandeep Jain’s research focuses on the development and application of machine learning techniques to predict mechanical properties in lightweight alloys and high entropy alloys. His studies include hardness prediction, flow stress, phase prediction, and the influence of processing methods like friction stir processing. These investigations aim to enhance the performance of advanced materials such as Al-Mg-based alloys and CoCrFeNiV high entropy alloys. His work bridges the gap between experimental studies and computational simulations, contributing valuable insights into alloy design and optimization. 🌟🔍📊

Publication Top Notes

A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys

A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility

Machine learning-driven insights into phase prediction for high entropy alloys

Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

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Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm

Abderrezzaq Benalia | Engineering and Technology | Best Researcher Award

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Abderrezzaq Benalia | Engineering and Technology | Best Researcher Award

Assist Prof Dr Abderrezzaq Benalia, Higher normal school of Constantine, Algeria

Evaluation for Best Researcher Award: Assist. Prof. Dr. Abderrezzaq Benalia.

Publication profile

google scholar

Educational Background

Dr. Abderrezzaq Benalia holds a Ph.D. in Environmental Engineering from Salah Boubnider University, Constantine 3, Algeria. His doctoral research focused on the extraction and valorization of natural plant products as bio-coagulants for improving water quality, showcasing his commitment to sustainable environmental practices. Additionally, his M.Sc. thesis on the coagulation-flocculation process for drinking water treatment further solidifies his expertise in environmental engineering.

Positions Held and Teaching Experience

Dr. Benalia has held several notable positions, including being a representative of the environment in Yahia Beni Guecha, Mila, Algeria, from 2011 to 2016. His teaching experience spans various prestigious institutions, such as the Higher Normal School of Constantine and the National Polytechnic School of Constantine, where he has taught subjects like Chemical Kinetics, Analytical Chemistry, and Water Chemistry. His teaching excellence is reflected in his consistent contributions to environmental and process engineering education.

Research Interests and Supervision

His areas of interest include biomaterials, water and wastewater treatment, water pollution, and the extraction of natural substances. Dr. Benalia has also shown a strong commitment to mentoring students, having supervised several graduate projects, including Long Cycle and Engineer/Master students.

Additional Contributions

Dr. Benalia has been actively involved in organizing scientific events, such as the Inaugural National Congress in Physical and Chemistry Science (INCPCS 2024). He has also led significant research projects, including the improvement of bioenergy production from biodegradable waste, demonstrating his leadership and innovation in environmental research.

Prizes, Awards, and Honors

Dr. Benalia has received numerous accolades, including the Young Researcher Award from Salah Boubnider University in 2016, and the Best Researcher Award in Environmental Engineering from World Top Scientists in 2024. These awards recognize his impactful contributions to the field of environmental engineering.

Publications and Communications

Dr. Benalia has authored several high-impact publications in renowned journals. His research on the removal of dyes from water using aluminum-based water treatment sludge and the application of plant-based coagulants in water treatment highlights his innovative approach to environmental challenges. His work on the synthesis and application of bio-sorbents from artichoke and orange peels for wastewater treatment further emphasizes his focus on sustainable solutions.

Conclusion

Dr. Abderrezzaq Benalia’s extensive educational background, diverse teaching experience, and impactful research contributions make him a strong candidate for the Best Researcher Award. His dedication to environmental sustainability, innovative research, and student mentorship exemplifies the qualities of a top researcher in his field.

Publication top notes

Use of acorn leaves as a natural coagulant in a drinking water treatment plant

Use of Aloe vera as an Organic Coagulant for Improving Drinking Water Quality

Optimization of active coagulant agent extraction method from Moringa Oleifera seeds for municipal wastewater treatment

The use of as natural coagulant in algerian drinking water treatment plant

The use of central composite design (CCD) to optimize and model the coagulation-flocculation process using a natural coagulant: Application in jar test and semi-industrial scale

Use of Extracted Proteins from Oak Leaves as Bio-Coagulant for Water and Wastewater Treatment: Optimization by a Fractional Factorial Design

The adsorptive removal of Bengal rose by artichoke leaves: Optimization by full factorials design

Valorization of pine cones (pinus nigras) for industrial wastewater treatment and crystal violet removal: a sustainable approach based on bio-coagulants and a bio-adsorbent

Etude Expérimentale et Modélisation Du Processus de La Coagulation Floculation: Application Aux Eaux Destinée a La Consommation

Waqas Haroon | Engineering and Technology | Best Researcher Award

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Waqas Haroon | Engineering and Technology | Best Researcher Award

Dr Waqas Haroon, International Isalmic University, Islamabad, 44000, Pakistan, Pakistan

Based on Dr. Waqas Haroon’s qualifications and accomplishments, he appears to be a strong candidate for a Best Researcher Award.

publication profile

google scholar

Education and Academic Excellence

Dr. Haroon is currently pursuing a PhD in Transportation Engineering at the University of Engineering and Technology, Taxila, with a commendable GPA of 3.61/4. His earlier degrees in Transportation Engineering (M.Sc.) and Civil Engineering (B.Sc. Hons.) also reflect high academic performance, with GPAs of 3.54/4 and 3.36/4, respectively. This solid educational foundation underscores his commitment and expertise in his field. 🎓📚

Research Contributions

Dr. Haroon’s research output is impressive, with several high-quality publications either accepted or under review in reputable journals. His work includes studies on the performance of modified asphalt binders, nano silica effects, and the impact of carpooling on traffic sustainability. These contributions reflect a deep engagement with current issues in transportation engineering and materials science. 📄🔬

Professional Development

Dr. Haroon has participated in various professional courses, enhancing his knowledge in areas such as entrepreneurship, infrastructure development, and modern engineering techniques. His proactive approach to professional development showcases his dedication to staying updated with industry trends and practices. 🛠️🌟

Teaching and Administrative Roles

As a lecturer at International Islamic University, Islamabad, Dr. Haroon has taken on multiple responsibilities, including teaching and administrative roles. His involvement in committees and technical activities highlights his leadership and organizational skills, which complement his research expertise. 👨‍🏫📈

Achievements and Recognition

Dr. Haroon has received several accolades, including a merit-based laptop award and internal merit scholarships, indicating recognition of his academic and research excellence. These achievements reinforce his qualifications and potential as a top researcher. 🏅🎖️

Overall, Dr. Waqas Haroon’s strong academic background, significant research contributions, commitment to professional development, and recognized achievements make him a suitable candidate for the Best Researcher Award.

 

Publication top notes

Carbon nanotubes (CNTs) in asphalt binder: Homogeneous dispersion and performance enhancement

Performance Evaluation of Bone Glue‐Modified Asphalt

Consolidated effect of fiber-reinforcement and concrete strength class on mechanical performance, economy and footprint of concrete for pavement use

Impact on concrete properties using e-plastic waste fine aggregates and silica fume

Moisture susceptibility and fatigue performance of asphalt binder modified by bone glue and coal fly ash

Effect of Quartz Nano-Particles on the Performance Characteristics of Asphalt Mixture

Effect of air voids on permeability and durability of hot mix asphalt.

Effect of Addition of Crumb Rubber on Bitumen Performance Grade (PG) and Rutting Resistance

 

Yifei Zhang | Engineering and Technology | Best Researcher Award

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Yifei Zhang | Engineering and Technology | Best Researcher Award

Mr Yifei Zhang, University of Leeds, China

Yifei Zhang appears to be a strong candidate for the Research for Best Researcher Award based on the provided details.

Publication profile

Orcid

Education

University of Leeds: School of Electronic & Electrical Engineering (10/2023-Present), Harbin Institute of Technology: School of Electrical Engineering and Automation (09/2021-07/2023) – GPA: 89.968/100, Zhejiang Sci-Tech University: Qixin College (09/2017-06/2021) – GPA: 4.04/5 (Top 1/37).

Publications

“Hybrid ANPC Grid-Tied Inverter Design with Passivity-Based Sliding Mode Control Strategy“ (07/2024) Summary: This publication explores an advanced inverter design integrating a passivity-based sliding mode control strategy, enhancing grid-tied inverter performance and reliability.“Analysis and Error Separation of Capacitive Potential in the Inductosyn“ (09/2022) Summary: This work focuses on capacitive potential errors in inductosyn devices, providing a detailed analysis and separation methods to improve measurement accuracy.

Honors

Honorable Mention, American College Students Mathematical Contest in Modeling (04/2020). Provincial Third Prize, National Mathematical Contest in Modeling for College Students (12/2019). Third Prize, Zhejiang University Student Robot Creative Competition (12/2019). Provincial Third Prize, National Electronic Design Competition for College Students (09/2019).

Research Statement

Harmonic Cancellation Design of Circular Induction Synchronizer (03/2022-09/2022): Developed a system for measuring angles in circular induction synchronizers, focusing on error analysis and optimization for harmonic elimination. Optimal Design of Finite Angle Driven Flux Switching Arc Permanent Magnet Motor (01/2022-07/2022): Conducted finite element simulations to optimize motor parameters and reduce torque ripple. Brushless DC Motor Drive Controller Design (09/2020-06/2021): Designed and assembled a control board for brushless DC motors, implementing both sensorless and sensor-based control.

Publication top notes

Hybrid ANPC Grid-Tied Inverter Design with Passivity-Based Sliding Mode Control Strategy

 

 

 

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

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Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. 📚🤖💻🌐

Publication profile

Orcid

Education

📚 From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. 🎓 Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. 📜 From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. 📖 Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. 🎓 Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. 🧠 Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

📘 From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. 🎓🔬

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. 🌍📚💻🎓

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudis’s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. 🌱🐟💻📊

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference

A Brief Survey of Sim2Real Methods for Robot Learning

E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis

Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application

Tech Advancement Award

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Tech Advancement Award

Introduction:

Welcome to the Tech Advancement Award, celebrating innovation and excellence in technology. This award recognizes individuals or teams who have made significant contributions to advancing technology and pushing the boundaries of what's possible.

About the Award:

The Tech Advancement Award honors pioneers who have demonstrated exceptional creativity, ingenuity, and impact in the realm of technology. From groundbreaking inventions to transformative software solutions, this award celebrates those who drive progress and innovation in the tech industry.

Eligibility:

  • Open to individuals, teams, and organizations worldwide
  • No age limits
  • Candidates must have developed or contributed to innovative technological advancements
  • Qualifications may include relevant degrees, certifications, or professional experience
  • Publications, patents, or other documentation showcasing technological achievements are encouraged

Recurrence:

Annual

Evaluation Criteria:

  • Degree of innovation and originality
  • Impact on industry or society
  • Technological advancement and scalability
  • Demonstrated effectiveness or applicability of the technology

Submission Guidelines:

  • Submit a detailed description of the technological advancement or innovation
  • Provide evidence of impact, such as case studies, testimonials, or adoption rates
  • Include any relevant publications, patents, or technical documentation
  • Follow the specified format and submission deadlines

Recognition:

Recipients of the Tech Advancement Award receive a prestigious certificate, public recognition through various channels, and opportunities for further collaboration and support from industry partners.

Community Impact:

The Tech Advancement Award aims to inspire and empower individuals and organizations to push the boundaries of technology for the betterment of society. By recognizing and promoting technological innovation, this award fosters a culture of creativity, collaboration, and progress in the tech industry.

Biography:

Applicants are invited to provide a brief biography highlighting their contributions to technological advancements, relevant experience, and notable achievements in the field.

Abstract and Supporting Files:

Include a comprehensive abstract summarizing the technological advancement's objectives, methodology, and impact. Supporting files such as technical specifications, demonstrations, or user testimonials can enhance the submission and demonstrate the innovation's significance.