Malykhina Galina | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Malykhina Galina | Engineering and Technology | Best Researcher Award

Prof. Dr Malykhina Galina, Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

🌐 Prof. Dr. Galina Malykhina is a distinguished Doctor of Engineering Sciences and Professor at the Higher School of Computer Technologies and Information Systems, Peter the Great St. Petersburg Polytechnic University. After earning her degree in Technical Cybernetics, she advanced to research, specializing in radioisotope measurement for oil, UAV automation, and medical devices πŸ€–πŸ’Ό. She has guided 8 PhD and 1 doctoral thesis, authored 182+ publications, and presented globally πŸŒπŸ“ˆ. Honored as a distinguished professor, her courses cover computing networks, cybersecurity, and programming, with recent work on neural networks for industry applications πŸ§ πŸ“‘.

Publication profile

Orcid

Academic and Professional BackgroundΒ 

Prof. Dr. Galina Fedorovna Malykhina is a distinguished Doctor of Engineering Sciences and Professor at Peter the Great St. Petersburg Polytechnic University (SPbPU). 🌟 With a career beginning as an engineer in Technical Cybernetics, she has advanced to leadership roles in academia and research. Her expertise is backed by a Ph.D. and doctoral degree in Information, Measuring, and Control Systems. πŸ“šπŸ”§ Throughout her career, Prof. Malykhina has contributed significantly to various high-impact areas in engineering, becoming a recognized leader in her field. Her dedication continues to shape the future of engineering education and research. πŸ«πŸ”¬

Mentorship and Academic Contributions

Prof. Dr. Malykhina has made significant contributions to academia, particularly in mentorship and research. She has supervised numerous research theses, guiding eight candidate dissertations and one doctoral dissertation. Her dedication to shaping future researchers has solidified her role as both an educator and a researcher. Through her mentorship, she fosters academic growth, ensuring that her students are equipped to succeed in their fields. Her influence extends beyond research, nurturing a new generation of scholars who will continue her work and contribute to the academic community. πŸ§‘β€πŸ«πŸ“šπŸŽ“πŸ‘©β€πŸ”¬πŸ“–

RecognitionΒ 

Prof. Dr. Malykhina has an impressive academic record with 182 publications in the Russian Science Citation Index (RSCI), including 73 core publications and 21 indexed in Scopus and Web of Science πŸ“šπŸŒ. Her contributions to research and academia have earned her the prestigious title of “Honored Professor of SPbPU” πŸ…, as well as a jubilee medal from SPbPU, recognizing her outstanding impact in her field πŸ†. Her work continues to inspire and shape the academic community, reflecting her dedication and excellence in research and education πŸ‘©β€πŸ«βœ¨.

Educational Impact and International ReachΒ 

Dr. Malykhina has made significant contributions to education by teaching a wide range of courses, from Information Security to Digital Image Processing, for both Russian and international students. Her expertise and dedication to advancing knowledge have earned her opportunities to present her research at numerous international and national conferences. These engagements have allowed her to expand the global reach of her work, bridging academic communities worldwide. Dr. Malykhina’s commitment to education and research has not only enriched her students’ learning experiences but has also made valuable contributions to the global scientific dialogue. πŸŽ“πŸŒπŸ’»πŸ“Š

Research focus

Prof. Dr. Galina Malykhina’s research focus lies at the intersection of signal processing, machine learning, and mathematical modeling. Her work includes developing advanced techniques like wavelet cross-correlation for two-phase flow control systems in oil well production, and applying physics-informed neural networks (PINNs) to solve complex problems in chemical reactor modeling. She has contributed to methods that solve parameterized singular perturbation problems, leveraging physics-based neural network approaches. Her research also explores the integration of analytical modifications with numerical methods for better process modeling in various industrial applications. πŸ“ŠπŸ”¬πŸ’»βš™οΈ

Publication top notes

Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

conclusionΒ 

Prof. Dr. Galina Malykhina’s extensive background in engineering, impactful research contributions, role in mentoring emerging researchers, recognized publication record, and global academic engagement establish her as a highly deserving candidate for the Research for Best Researcher Award. Her work demonstrates the qualities of a leading researcher committed to both innovation and education in her field.Β 

Iveta Kubasakova | Tech Innovations | Women Researcher Award

Published on by Research Hypothesis

Iveta Kubasakova | Tech Innovations | Women Researcher Award

Assist. Prof. Dr Iveta Kubasakova, University of Zilina, Slovakia

Assist. Prof. Dr. Iveta KubasΓ‘kovΓ‘ is an Associate Professor at the University of Ε½ilina, Slovakia, specializing in transportation logistics, warehouse management, logistics systems, and technologies. She has a PhD in Transport and Communications Technology from the same university. Dr. KubasΓ‘kovΓ‘ has extensive experience in teaching and research, contributing to bachelor’s, master’s, and doctoral programs, and publishing widely on topics like logistics automation and risk management in transport. She has co-authored several open-access papers, including works on automated guided vehicles and warehouse optimization. Her expertise also includes customs disputes and logistics management. πŸ“šπŸššπŸ“¦πŸ”§

Publication profile

Scopus

EducationΒ 

Assist. Prof. Dr. Iveta Kubasakova is an expert in Communications Technology, with a strong academic foundation, including an Ing. (Engineer) degree in Road Transport Operation and Economics from the University of Ε½ilina. Her multidisciplinary background uniquely combines technical expertise in communications and the practical knowledge of transportation economics, making her a valuable asset in both fields. Dr. Kubasakova’s work bridges the gap between advanced communication technologies and the economic aspects of road transport, contributing significantly to both academic and applied research. πŸ“šπŸŽ“πŸ’»πŸš—

Experience

Assist. Prof. Dr. Iveta Kubasakova has been a dedicated educator at the University of Ε½ilina since 2006, progressing from professional assistant to associate professor. With over 18 years of teaching experience, she has made significant contributions in logistics, warehouse management, and transport systems. Her expertise in these fields is complemented by her involvement in research and development, where she focuses on improving operational efficiency and innovative solutions. Her work has made a lasting impact in academia and the industry. πŸ’ΌπŸ“ŠπŸššπŸ“š

Research focus

Iveta KubasakovΓ‘’s research primarily focuses on logistics, automation, and transportation systems, with a particular emphasis on improving efficiency and safety in supply chain management. Her work often explores the integration of advanced technologies like automated guided vehicles (AGVs), autonomous mobile robots (AMRs), and barcode systems to enhance warehouse operations, production halls, and transport processes. Additionally, she investigates the impact of the COVID-19 pandemic on logistics and criminal activity within transportation systems. KubasakovΓ‘’s research also delves into risk assessment, distribution optimization, and the application of technological solutions for reducing human error and improving operational performance. πŸ“¦πŸ€–πŸššπŸ“ˆ

Publication top notes

Utilization of the intersection of ABC and XYZ analysis in stock planning in the warehouse by Covid period

Application of Technological Procedure Automated Guided Vehicles in the Production Hall of a Company Due to Increasing the Automationβ€”Case Study

Implementation of Automated Guided Vehicles for the Automation of Selected Processes and Elimination of Collisions between Handling Equipment and Humans in the Warehouse

Implementation of Barcode Technology to Logistics Processes of a Company

The case study of international transport by the freight forwarder in france

Conclusion

Assist. Prof. Dr. Iveta KubasΓ‘kovΓ‘ stands out as an exceptional candidate for the Women Researcher Award due to her impressive blend of academic excellence, groundbreaking research, and practical contributions to logistics technology. With a strong academic foundation, Dr. KubasΓ‘kovΓ‘ has significantly advanced the field, tackling key challenges in logistics management and technology integration. Her work not only enriches academic knowledge but also drives real-world applications, benefiting industries and improving efficiency. Her dedication to innovation, combined with her expertise and leadership, makes her a role model in her field, deserving of this prestigious recognition. πŸ†πŸ“šπŸš€

 

Asparuh Atanasov | Engineering and Technology | Innovative Research Award

Published on by Research Hypothesis

Asparuh Atanasov | Engineering and Technology | Innovative Research Award

Dr Asparuh Atanasov, Technical university Varna, Bulgaria

Dr. Asparuh Atanasov’s qualifications and contributions, he appears to be a suitable candidate for the Research for Innovative Research Award. Here’s an overview of his background and achievements, formatted into distinct sections:

Publication profile

google scholar

Education and Scientific Degrees

  • 2024: ONS Doctor, Technical University of Varna
    • Faculty: Mechanical Technology
    • Dissertation Topic: Investigating the applicability and effectiveness of sensor systems in precision agriculture
  • 2005: Master of Industrial Design, Technical University of Varna

Professional Experience

  • 2019 – Present: Assistant in Applied Mechanics, Dobrudja Technological College, Dobrich
    • Engaged in teaching and research activities within the field of applied mechanics.

Scientific and Teaching Activity

  • Research Projects: Participated in 17 research projects
  • Supervision of Students:
    • Head of Masters: 2 students
    • Doctoral Student Advisor: 1 student

Teaching Subjects

  • Theoretical Mechanics
  • Theory of Mechanisms and Machines
  • Resistance of Materials
  • Machine Elements
  • Fluid Mechanics
  • Interchangeability and Technical Measurements
  • Hydro and Pneumatic Drive in Agriculture
  • Practical Training
  • Agricultural Machinery 1 and 2
  • Livestock Machinery

Publishing Activity

  • Monographs and Books: Author of one monograph and one book
  • Scientific Publications: Author and co-author of 34 publications

Professional Memberships

  • Union of Scientists in Bulgaria: Member of the Dobrich branch

Publication top notes

Observation of the vegetation processes of agricultural crops using small unmanned aerial vehicles in Dobrudja region.

Study of the specifics of the spectral reflections of different varieties of cereals harvest 2021, obtained from the visible and near infrared (NIR) frequency range

Tracking The Development Of Six Wheat Varieties Using Infrared Imaging And Image Processing Algorithms

Applicability and efficiency of remote sensing of agricultural areas.

Cultivator-based soil density measurement method

Investigating the possibility of monitoring the drying in the upper soil layer by means of a drone in the Dobruja region

Applicability and Efficiency of Remote Monitoring of Agricultural Crops

Vegetation data processes, registered by remote sensing with a small aerial vehicle

Conclusion

Dr. Asparuh Atanasov’s extensive academic background, research contributions, and innovative work in the fields of applied mechanics and agricultural technology position him as a strong candidate for the Research for Innovative Research Award. His dedication to advancing precision agriculture through technology aligns with the award’s focus on innovation and research excellence.

 

 

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Assist Prof Dr ABDULFATTAH AHMED QASEM ALWAH, Ibb University, Yemen

Based on Mr. Tailong Lv’s educational background, research experience, and publication, here’s an assessment of whether he is a suitable candidate for the Best Researcher Award.

Publication profile

google scholar

Education

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts & Telecommunications. His academic foundation is strong, particularly in technical fields relevant to his research focus.

Research Project

Mr. Lv’s main research project, “Deep Learning Based Human Activity Recognition,” showcases his proficiency in applying deep learning techniques to real-world problems. His work focuses on optimizing neural networks for better recognition of complex human activities. This is a cutting-edge area in artificial intelligence and has significant potential for applications in areas such as surveillance, healthcare, and human-computer interaction. His contribution to this field is commendable, given the complexity and real-world relevance of the project.

Awards & Recognition

Mr. Lv has received consecutive scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023, demonstrating academic excellence and a consistent track record of high achievement.

Research focus

The research focus of this person primarily revolves around urban planning, environmental sustainability, and public space management. Their work involves evaluating the disparity between supply and demand for green spaces 🌳, analyzing visual pollution in historical cities πŸ™οΈ, and predicting urban waterlogging risks 🌧️. Additionally, they contribute to developing tools to measure public space efficiency and studying the relationship between built environments and social sustainability 🏞️. Their research emphasizes creating better urban environments by addressing ecological concerns, enhancing public spaces, and promoting social well-being through thoughtful urban design.

Publication

His recent publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition” in the journal Electronics, reflects his engagement in research at an advanced level. Co-authoring this paper with established researchers like Hongbo Kang and Chunjie Yang, and contributing to a field as impactful as human activity recognition, highlights his research capabilities.

Conclusion

Mr. Tailong Lv’s solid educational background, innovative research in deep learning, continuous academic excellence, and publication record make him a strong candidate for the Best Researcher Award. His work contributes significantly to the field of AI and human activity recognition, aligning with the qualities expected of an award-winning researcher.

Publication top notes

Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Predicting urban waterlogging risks by regression models and internet open-data sources

Developing a quantitative tool to measure the extent to which public spaces meet user needs

Difficulty and complexity in dealing with visual pollution in historical cities: The historical city of Ibb, Yemen as a case study

Relationship between physical elements and density of use of public spaces in Sana’a City

Research of urban suitable ecological land based on the minimum cumulative resistance model: A Case Study from Hanoi, Vietnam

Analysis of visual pollution of the urban environment in the old city of Ibb

Characteristics of visiting urban open spaces in Sana’a city in Yemen

Relationship between the perceived characteristics of the built environment and social sustainability: Sana’a City, Yemen use case..

Predicting urban waterlogging risks by regression models and internet open-data sources. Water 12 (3): 879

 

 

 

Filip Ilie | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Filip Ilie | Engineering and Technology | Best Researcher Award

Prof Dr Filip Ilie, Polytechnic University of Bucharest, Romania

Based on the extensive professional experience, research contributions, and leadership roles of Prof. Dr. Filip Ilie, he is indeed a suitable candidate for the Best Researcher Award. Here’s an evaluation of his qualifications:

Publication profile

Orcid

Extensive Professional Experience

Prof. Dr. Filip Ilie has served in academia for over four decades, holding positions such as University Professor at the National University of Science and Technology POLITEHNICA Bucharest. His roles include being the Director of the Center of Scientific Excellence (CESIT), Vice-Dean of the Faculty of Biotechnical Systems Engineering, and various leadership positions within the Romanian Tribology Association.

Significant Research Contributions

He has been involved in numerous national and international research projects, serving as Director or Project Manager for 11 contracts and contributing to over 38 national scientific research contracts. His research output includes impactful publications in high-ranking journals and conferences. Some of his recent work includes studies on tribological analysis, brake systems, and agricultural machinery, reflecting his deep expertise in mechanical engineering and tribology.

Leadership in Research and Academia

Prof. Ilie’s leadership extends beyond research projects to significant roles within academic and professional organizations. As the Vice-Dean and CESIT Director, he has demonstrated strong organizational and management skills. He has also been an expert evaluator for several national research programs and doctoral theses, contributing to the academic community.

Recent Publications and Research Impact

Prof. Ilie’s recent publications include high-impact studies such as “Structural and Tribological Analysis of Brake Disc–Pad Pair Material for Cars,” and “Numerical and Experimental Analysis of the Vacuum Corn Seed Degassing System.” These works underscore his ongoing contributions to advancing research in tribology and mechanical systems, making him a strong contender for the Best Researcher Award.

In conclusion, Prof. Dr. Filip Ilie’s extensive academic experience, significant research contributions, leadership roles, and recent impactful publications make him a deserving candidate for the Best Researcher Award. His career reflects a profound commitment to advancing engineering and tribology research.

Publication top notes

Computerized Penetrometry Methodology Assisted by Advanced Algorithms Applied in the Multi-dimensional Analysis of the Rheology of Mold-Ripened Cheeses and Its Impact on Food Product Quality

Structural and Tribological Analysis of Brake Disc–Pad Pair Material for Cars

Study and Structural and Tribological Analysis of the Brake Disc-Pads Pair Material

Numerical and Experimental Analysis of the Vacuum Corn Seed Degassing System

Study of the Grinding Process by Friction of Cereal Grains in Stone Mills

Experimental Study of the Correlation between the Wear and the Braking System Efficiency of a Vehicle

Kyongchul Kim | Tech Innovations | Best Researcher Award

Published on by Research Hypothesis

Kyongchul Kim | Tech Innovations | Best Researcher Award

Dr Kyongchul Kim Korea, Peninsula Infrastructure Special Committee, South Korea

Based on the detailed information provided, Dr. Kyongchul Kim appears to be a strong candidate for the Best Researcher Award. His extensive academic background, combined with a significant research output and practical engineering experience, showcases his expertise and contributions to the field of Civil Engineering.

Publication profile

google scholar

Educational Background

Dr. Kim earned his Ph.D. in Civil Engineering from Kunsan National University, where his research focused on the structural behavior of steel fiber-reinforced ultra-high-performance concrete beams subjected to bending. His academic journey, starting with a Bachelor of Engineering and progressing through a Master of Science, highlights a consistent and rigorous pursuit of knowledge in Civil and Environmental Engineering.

Research Experience and Achievements

Dr. Kim has demonstrated his research prowess through various roles, including his current position as a Senior Researcher at the Korean Peninsula Infrastructure Special Committee at KICT. His work on developing modular bridge structures and validating their performance using ultra-high-performance concrete reflects his deep involvement in innovative and practical engineering solutions. His previous roles, including those at JANGMIN enc and DM ENGINEERING, further underscore his versatility and hands-on experience in the field.

Research Projects

Dr. Kim has participated in several notable research projects, such as the development of design technology in residential floating architecture and the practical use of eco-friendly green large block retaining wall systems. These projects not only demonstrate his ability to lead and collaborate on large-scale engineering challenges but also highlight his contribution to advancing sustainable construction practices.

Publications and Conference Presentations

Dr. Kim has an impressive portfolio of publications and conference presentations, with his research being widely recognized in the field. His work on the flexural behavior of ultra-high-performance concrete and hybrid steel fiber-reinforced concrete beams has been published in reputable journals and presented at key conferences, contributing valuable insights to the civil engineering community.

Conclusion

Dr. Kyongchul Kim’s academic achievements, research contributions, and practical engineering experiences make him a suitable candidate for the Best Researcher Award. His work has not only advanced the field of Civil Engineering but also demonstrated a commitment to addressing critical infrastructure challenges with innovative solutions. His leadership in research projects and active participation in knowledge dissemination through publications and presentations further solidify his credentials as a top researcher in his field.

Research focus

A Comparative Experimental Study on the Flexural Behavior of High‐Strength Fiber‐Reinforced Concrete and High‐Strength Concrete Beams

An experimental study on the ductility and flexural toughness of ultrahigh-performance concrete beams subjected to bending

Effects of Single and Hybrid Steel Fiber Lengths and Fiber Contents on the Mechanical Properties of High‐Strength Fiber‐Reinforced Concrete

Flexural strength of hybrid steel fiber-reinforced ultra-high strength concrete beams

Structural behavior of concrete beams containing recycled coarse aggregates under flexure

Mechanical properties and predictions of strength of concrete containing recycled coarse aggregates

Material properties and structural characteristics on flexure of steel fiber-reinforced ultra-high-performance concrete

Structural behavior of hybrid steel fiber-reinforced ultra high performance concrete beams subjected to bending

Electrical characteristics of ultra-high-performance concrete containing carbon-based materials

Effect of broad-spectrum biofilm inhibitor raffinose, a plant galactoside, on the inhibition of co-culture biofilm on the microfiltration membrane

 

Abderrezzaq Benalia | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

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 fromΒ Oak LeavesΒ 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 ExpΓ©rimentale et ModΓ©lisation Du Processus de La Coagulation Floculation: Application Aux Eaux DestinΓ©e a La Consommation

Xinxin Zhao | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Xinxin Zhao | Engineering and Technology | Best Researcher Award

Dr Xinxin Zhao, School of Metallurgy, Northeastern University, China

Dr. Xinxin Zhao appears to be a strong candidate for the Best Researcher Award based on the following considerations.

Publication profile

Scopus

Research Focus and Innovations

Dr. Zhao specializes in the comprehensive utilization of metallurgical mineral solid waste and non-traditional aluminum resources. Her innovative approach involves the chlorination-oxygen pressure conversion method to extract valuable elements from low-grade bauxite, which addresses the challenges faced by traditional Bayer process treatments. This novel method not only enhances the exploitation of aluminum resources but also contributes to waste reduction and resource efficiency.

Notable Contributions

Co-Extraction of Aluminum and Silicon: Dr. Zhao’s work on the carbochlorination process of low-grade bauxite, published in Materials (2024), focuses on the extraction kinetics and valuable element recovery. Synergistic Extraction from Fly Ash: In her recent publication in the Journal of Sustainable Metallurgy (2024), she explores the extraction of valuable elements from high-alumina fly ash using carbochlorination, showcasing her contributions to sustainable metallurgy. Review on Chitosan Composites: The review article in Polymer Bulletin (2022) by Zhao and colleagues highlights advances in chitosan and its composites, emphasizing her diverse research interests and impact in material science.

Support and Recognition

Dr. Zhao’s research is supported by major funding bodies, including:

  • National Key Research and Development Program of China
  • National Natural Science Foundation of China
  • Cross-Integration and Collaborative Development Project of Northeastern University
  • Natural Science Foundation Joint Fund of Liaoning Province

Research Output and Impact

Her publications span several high-impact journals and include both original research and reviews, reflecting her active engagement in the academic community. Notably, her work on chitosan membranes and aluminum dross treatment has received considerable citations, indicating its significance and influence.

Summary

Dr. Xinxin Zhao’s innovative methodologies, substantial contributions to resource utilization, and strong support from prestigious funding agencies make her a deserving candidate for the Best Researcher Award. Her research not only advances scientific knowledge but also offers practical solutions for sustainable resource management.

Publication top notes

Co-Extraction of Aluminum and Silicon and Kinetics Analysis in Carbochlorination Process of Low-Grade Bauxite

Synergistic Extraction of Valuable Elements from High-Alumina Fly Ash via Carbochlorination

Review on preparation and adsorption properties of chitosan and chitosan composites

Removal of Fluorine, Chlorine, and Nitrogen from Aluminum Dross by Wet Process

Study on Water Model Experimental of Waste Circuit Board Treatment by Top-Blowing Bath Smelting Method

Research Progress of Chitosan Membranes in Pervaporation SeparationΒ 

 

Yiming Xu | Tech Innovations | Best Researcher Award

Published on by Research Hypothesis

Yiming Xu | Tech Innovations | Best Researcher Award

Mr Yiming Xu, Cranfield University, United Kingdom

Yiming Xu is a Ph.D. candidate in Energy at Cranfield University (2020-2024) with a focus on AI for energy flexibility and decarbonisation. He holds an MSc in Advanced Mechanical Engineering from Cranfield University and a BEng in Mechanical Engineering from Nanjing University of Aeronautics and Astronautics. Yiming has contributed to Innovate UK projects, presented at conferences such as ICAE and ISGT, and published papers on energy trading. He has interned at DJI Technology Co., Ltd, and holds patents in finger flexibility devices and mountain-climbing aids. Proficient in Python, C++, and data visualization, he is also an amateur Muay Thai fighter. πŸ§ πŸ”‹πŸ€–πŸ“šπŸ₯Š

Publication profile

Orcid

Education

With a PhD in Energy from Cranfield University (2020-2024) πŸŽ“, He focused on AI for energy flexibility modelling and decarbonisation 🌱, vehicle-to-vehicle energy trading, and EV owner behaviour analysis πŸš—. He presented at ICAE, ISGT, ICPADS, and other seminars 🎀. My MSc in Advanced Mechanical Engineering (2019-2020) included a thesis on peer-to-peer energy trading for EVs ⚑ and courses like CFD and risk engineering πŸ“š. During an AI exchange at Imperial College London (2018), I designed computer vision algorithms for a robotic arm πŸ€–. My BEng from Nanjing University (2015-2019) involved a thesis on 3D printing and courses in mechanics and materials πŸ› οΈ.

Experience

During my internship at DJI Technology Co., Ltd in Shenzhen, China, from June to August 2018, I participated in the global young engineer competition ROBOMASTER, working with a team that included top universities from China and overseas. I served as venue maintenance personnel in the ROBOMASTER machinery group, responsible for debugging mechanical organs and sensors, and maintaining the visual recognition module of the referee system. I inspected and maintained over 50 units of equipment, resolving issues more than 10 times, ensuring the smooth operation of the event. πŸŒπŸ€–πŸ”§πŸ‘¨β€πŸ”§πŸ“·βœ…

Research Projects

As a Research Assistant on three Innovate UK projects, I optimized energy flow management in urban EV charging with Lesla Ltd (Aug 2023 – Jan 2024), designing AI models to schedule charging behavior and forecast energy demand πŸ“ˆπŸ”‹. I established a smart home EV charger system for Entrust Smart Home Ltd (Jan 2021 – Mar 2021), focusing on app design and peer-to-peer energy trading πŸ“±πŸ . Additionally, I worked with SNRG Ltd and Electric Corby CIC (Oct 2020 – Mar 2021) on advanced grid services, analyzing driving behavior data and designing trading algorithms πŸš—πŸ’‘. All projects met quality standards and were successfully delivered βœ….

Research focus

Yiming Xu’s research primarily focuses on vehicle-to-vehicle (V2V) energy trading, particularly through innovative auction models and flexible trading platforms. His work explores sustainable energy solutions, fraud prevention, and efficient market mechanisms in V2V energy exchanges. Xu’s studies integrate advanced technologies like the K-factor approach and double auction systems to enhance energy trading efficiency and security. His research contributions are significant in the fields of smart grids, green computing, and sustainable energy, aiming to develop robust frameworks for future energy systems. πŸŒπŸ”‹πŸš—πŸ’‘πŸ“‰πŸ”’

Publication top notes

Vehicle-to-Vehicle Energy Trading Framework: A Systematic Literature Review

An Anti-fraud Double Auction Model in Vehicle-to-Vehicle Energy Trading with the K-factor Approach

A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility

 

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

Published on by Research Hypothesis

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. πŸ“šπŸ€–πŸ’»πŸŒ

Publication profile

Orcid

Education

πŸ“š From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. πŸŽ“ 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. πŸ“œ From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. πŸ“– Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. πŸŽ“ 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

πŸ“˜ 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. πŸŽ“πŸ”¬

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. πŸŒπŸ“šπŸ’»πŸŽ“

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. πŸŒ±πŸŸπŸ’»πŸ“Š

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 ofΒ Sim2Real Methods forΒ 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