Guangle Jia | Kalman filter Award | Best Researcher Award

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Dr. Guangle Jia, Kalman filter Award, Best Researcher Award

Research Associate at University of Calgary, Canada

Guangle Jia, a Chinese national born on June 24, 1990, is a dedicated scholar with a passion for academia and research. He holds a Ph.D. in Control Science and Engineering from Harbin Engineering University and has worked as a Research Associate at the University of Calgary, Canada. With expertise in state estimation and system identification, he explores innovative solutions in indoor localization. Guangle’s academic journey includes notable awards such as the Eyes High Postdoctoral Match-Funding and scholarships from the China Scholarship Council. His diverse interests range from singing to sports like basketball and swimming, reflecting a well-rounded personality committed to excellence in both professional and personal pursuits. Kalman filter.

Professional Profiles:

Scopus profile

Orcid profile

ResearchGate profile

Education Experience

Visiting Ph.D. Student, Department of Electrical and Software Engineering, University of Calgary (2021.05-2022.07) Ph.D. Student, College of Automation, Harbin Engineering University, China (2017.09-2022.06) Master of Engineering, College of Automation, Harbin Engineering University, China (2015.09-2017.06) Bachelor of Engineering, College of Safety Engineering, North China Institute of Science and Technology (2009.09-2013.06). Major: Control Science and Engineering (Ph.D. and Master’s), Geological Engineering (Bachelor’s)

Work Experience:

Research Associate, Department of Electrical and Software Engineering, University of Calgary, Canada (2023.03-2024.03) Instructor, School of Information Science and Engineering, Harbin Institute of Technology, China (2022.09-2024.01)

Research Interests

State Estimation, System Identification, Information Fusion, Indoor Localization

Awards

Eyes High Postdoctoral Match-Funding (2022.11) Scholarship under the State Scholarship Fund by China Scholarship Council (CSC) (2020.08) First-Class Scholarship of Harbin Engineering University (2019.09) Third-Class Scholarship of Harbin Engineering University (2018.09) Second-Class Scholarship of Harbin Engineering University (2017.09, 2016.09, 2015.09)

Research Focus:

Guangle Jia’s research primarily focuses on the development and enhancement of Kalman filter variants and related estimation techniques for robust and adaptive state estimation in dynamic systems. His work spans various domains, including signal processing, circuits, and systems. Jia’s contributions have led to advancements in handling non-stationary and heavy-tailed noises, as well as addressing challenges such as time-varying biases and randomly delayed measurements. His innovative approaches, such as incorporating Student’s t distribution and adaptive strategies, demonstrate a keen interest in tackling real-world complexities in estimation problems. Jia’s expertise significantly impacts fields like navigation, tracking, and sensor fusion, offering reliable solutions for dynamic system estimation challenges.

Publications (TOP NOTES)

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Suil In | Solar Fuel Award | Best Researcher Award

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Prof. Suil In, Solar Fuel Award, Best Researcher Award

PHD at Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea

Suil In, Ph.D., is a tenured Full Professor in the Department of Energy Science & Engineering at Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea. With a background in Chemistry, his research spans various innovative areas including nuclear battery, photo-electrochemical water splitting, and nano-bio medical applications. Holding degrees from prestigious institutions like the University of Cambridge and KAIST, In has also served in diverse roles internationally, including as CEO of NiceScience Corp. and as a visiting scholar at institutions such as California Institute of Technology. His work contributes significantly to the advancement of sustainable energy technologies and has earned him recognition as a leader in the field.

Professional Profiles:

Orcid profile

Googlescholar profile

Education:

Ph.D., Chemistry, University of Cambridge, UK (2008.07. 19) Supervisor: Prof. Richard M. Lambert Thesis title: Catalysts and light: Synthesis and application of new, visible light activated photocatalytic materials M.S., Chemistry, KAIST, Korea (2003. 2. 21) Supervisor: Prof. Yoon Sup Lee Thesis title: Quantum chemical studies of the adsorption of acetylene on the Ge (100) B.S., Chemistry, In-ha University, Korea (2000. 8. 24) Early graduation with honors

Professional Experiences

Mar. 2022 – Present April 2023 – 2024 Sept. 2023 – Feb. 2024 2021 – 2025 Sept. 2016 – Feb. 2022 Full Professor, Dept. of Energy Science & Engineering, DGIST, Korea CEO, NiceScience Corp., Korea PIFI Visiting Scientist of the Chinese Academy of Sciences (CAS) President’s International Fellowship Initiative (PIFI) Visiting Scholar at the Dept. of Chemistry, California Institute of Technology (CALTECH), CA, USA Foreign Expert at ECUST China (the 111 project: Building World Class R&D Universities) supported by the State Administration of Foreign Experts Affairs (SAFEA) of China Associate Professor, Dept. of Energy Science & Engineering, DGIST, Korea Visiting Scholar at the Dept. of Environmental Science & Engineering, California Institute of Technology (CALTECH), CA, USA Jan. 2016 – Dec. 2017 Dean of International and External Affairs, DGIST, Korea Aug. 2012 – Aug. 2016 Assistant Professor, Department of Energy Systems Engineering, DGIST, Korea Sept. 2014 – July 2015 Director of Secretarial Office, DGIST, Korea

Research Interests

Nuclear battery (Betavoltaic), Photo-electrochemical water splitting (Green H2), Electrochemical CO2 conversion, Microbial fuel cell (Green H2), Photocatalytic CO2 conversion, Nano-bio medical applications, UAM (urban air mobility) applications

Research Focus:

Suil In’s research primarily focuses on advancing sustainable energy technologies, particularly in the fields of photoelectrochemical hydrogen generation, photocatalytic CO2 conversion, and solar fuels. His work delves into defect engineering of ternary quantum dots to enhance photoelectrochemical hydrogen generation, surface modification of catalysts for selective CO2 conversion, and electronic interactions between transition metal single-atoms and photocatalysts for CO2 photoreduction. With a strong emphasis on practical applications, In’s research contributes significantly to the development of efficient and environmentally friendly methods for energy production and utilization.

Publications (TOP NOTES)

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Shankar Dutt | Material Modification Award | Research Innovation Award in Physics

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Dr. Shankar Dutt, Material Modification Award, Best Researcher Award

Postdoctoral Fellow (Level A) at AUSTRALIAN NATIONAL UNIVERSITY, Australia

Shankar Dutt, a Postdoctoral Fellow at the Australian National University, is renowned for his pioneering work in developing advanced composite nanopore membranes. With a Ph.D. from ANU, he excels in fabricating innovative coatings for space applications and solid-state nanopore sensing. Shankar’s expertise spans diverse materials and technologies, contributing significantly to medical sensors, ultrafiltration, and lab-on-chip devices. Recognized for his collaborative approach, he has commercialized silicon-based membrane technologies and earned prestigious awards, including the Elsevier NIMB Young Researcher Award. Shankar’s multidisciplinary skills and leadership in research epitomize his commitment to pushing the boundaries of scientific exploration.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

LinkedIn profile

Education:

Doctor of Philosophy Sept. 2018 – Present, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia M.Sc. Physics Honours July 2016 – June 2018, GURU NANAK DEV UNIVERSITY, Amritsar, India B.Sc. Physics Honours July 2013 – June 2016, GURU NANAK DEV UNIVERSITY, Amritsar, India

Employment:

Postdoctoral Fellow (Level A) Dec. 2023 – Present, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia Research Officer 5/6 (0.4 FTE) Nov. 2022 – Nov. 2023, AUSTRALIAN NATIONAL UNIVERSITY, Canberra, Australia

Experimental Expertise: 

Solid state nanopore sensing, synchrotron-based small-angle X-ray scattering, ion beam irradiation, thin-film depositions, microscopy techniques, spectroscopy techniques, microelectromechanical systems.

Research Projects

Postdoctoral Research Canberra, Australia, AUSTRALIAN NATIONAL UNIVERSITY, Dec. 2023 – Present PhD Research Canberra, Australia, AUSTRALIAN NATIONAL UNIVERSITY, Sept. 2018 – Present

Research Focus:

Shankar Dutt’s research primarily focuses on nanopore sensing technologies, including the fabrication and characterization of nanopores in various materials. His work spans from the analysis of ion tracks in polymers to the development of ultrathin silicon nitride membranes for nanopore sensing applications. Additionally, Dutt has contributed to the advancement of solid-state nanopore sensing through innovative approaches such as fusion with machine learning for high accuracy protein identification. His expertise extends to the analysis of nanometer-sized pores using small-angle X-ray scattering, showcasing a multidisciplinary approach to nanopore research with implications for biomarker identification and beyond.

Publications (TOP NOTES)

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Yang Chen | Machine Learning Award | Best Researcher Award

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Dr. Yang Chen, Machine Learning Award, Best Researcher Award

PHD at Harbin Engineering University, China

Yang CHEN, Ph.D., is a dedicated researcher specializing in ship and marine structures design and manufacture. Currently pursuing a Ph.D. at Harbin Engineering University, his focus lies in predicting motion responses of marine engineering through deep learning and digital twin technologies. With a Master’s from the same institution and a Bachelor’s from Zhejiang Ocean University, Yang has garnered numerous accolades, including scholarships and awards for his academic excellence. His research contributions span predictive mooring tension models for semi-submersible platforms, showcasing his expertise in offshore intelligent operation and maintenance. Yang’s innovative work holds promise for enhancing safety and efficiency in maritime industries.

Professional Profiles:

Scopus profile

Orcid profile

Education:

Ph.D. Student College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China 09/2021 – Present Major: Ship and Marine Structures Design and Manufacture Research Area: Motion response prediction of marine structures; Deep learning; Marine engineering digital twin; Offshore intelligent operation and maintenance Thesis Title: Research on the motion response and mooring tension prediction method for semi-submersible production platforms M.Sc. Harbin Engineering University, Harbin, China 09/2020 – 06/2021 B.S. Zhejiang Ocean University, Zhoushan, China 09/2016 – 06/2020

Honors and Awards:

The First Prize Scholarship for Harbin Engineering University [2023] The Three-good students for Harbin Engineering University [2023] The Second Prize Scholarship for Harbin Engineering University [2022] The Second Prize Scholarship for Harbin Engineering University [2021] Zhejiang Ocean University Youth May Fourth Medal [2020]

Research Area:

Motion response prediction of marine structures, Offshore intelligent operation and maintenance, Deep learning, Marine engineering digital twin.

Research Works:

Lihao Yuan, Yang Chen, Yingfei Zan, Shenghua Zhong, Meirong Jiang, Yaogang Sun. A novel hybrid approach to mooring tension prediction for semi-submersible offshore platforms. Ocean Engineering, 287, 115776, 2023. Lihao Yuan, Yang Chen, Zhi Li. Real-time prediction of mooring tension for semi-submersible platforms[J]. Applied Ocean Research, 2024, 146: 103967.

Research Focus:

Yang CHEN, Ph.D., specializes in predictive modeling and analysis within the realm of marine engineering. His research focus primarily lies in developing innovative methods for predicting mooring tension in semi-submersible offshore platforms. With a keen interest in utilizing hybrid approaches and real-time data processing, Yang aims to enhance the efficiency and safety of offshore operations. By integrating deep learning techniques and digital twin technologies, he seeks to provide accurate and timely predictions, crucial for optimizing the performance of marine structures. Yang’s contributions represent a significant advancement in the field, promising practical solutions for the challenges faced in offshore engineering and operation management.

Publications (TOP NOTES)

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Shiwei Liu | Electromagnetic Award | Best Researcher Award

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Assoc Prof Dr. Shiwei Liu, Electromagnetic Award, Best Researcher Award

Associate Professor at Huazhong Agricultural University, China

Shiwei Liu, an Associate Professor and Deputy Director at Huazhong Agricultural University, specializes in Nondestructive Testing (NDT) and advanced sensors. With a Ph.D. in Mechanical Engineering from HUST, he leads research projects funded by prestigious organizations like the National Natural Science Foundation of China. Liu’s expertise spans electromagnetic testing, structural health monitoring, and AI algorithms. He has authored over 40 publications in top scientific journals and holds multiple patents in China. Recognized with awards like the “Best Paper Award” at ICMSD2023, Liu is renowned for his contributions to the field of intelligent detection and digital equipment development.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

ResearchGate profile

Education and Professional Experience:

Huazhong Agricultural University, Associate Professor, Doctoral Supervisor (4/2022-Present) Huazhong University of Science and Technology (HUST), Postdoctor/Assistant Research Fellow (6/2019-3/2022) HUST, Ph.D. in Mechanical Engineering (9/2016-6/2019) HUST, M.E. in Measurement Technology and Instrumentation (9/2014-6/2016) Hubei University of Technology, B.E. in Mechanical Design Manufacturing and Automation (9/2010-6/2014)

Research Interests:

Electromagnetic nondestructive testing techniques and theory Structural health monitoring and signal processing High precision and advanced sensors Virtual instrument and application software development AI algorithms and pattern recognition

Projects:

National Natural Science Foundation of China (NNSFC), Natural Science Foundation of Hubei Province

Honors and Awards:

“Best Paper Award” at ICMSD2023 “Excellent Class Teacher” at Huazhong Agricultural University 2nd-class Science and Technology Progress Award in China Shipbuilding Industry Corporation (CSIC) National Scholarship for Doctoral Candidate, Ministry of Education of China

Research Focus:

Shiwei Liu’s research primarily focuses on nondestructive testing (NDT) methods, sensors, and signal processing techniques, particularly in the domain of wire rope inspection and defect detection. He has contributed significantly to advancing magnetic flux leakage (MFL) testing methodologies, including novel sensor designs and signal analysis approaches. Liu’s work encompasses areas such as electromagnetic NDT, structural health monitoring, and weak signal detection in steel wire ropes. His expertise lies in developing innovative techniques for identifying and evaluating defects in ferromagnetic materials, aiming to enhance the reliability and efficiency of NDT processes in various industrial applications.

Publications (TOP NOTES)

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Sukhendu Sadhukhan | Multiferroics Award | Young Scientist Award

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Dr. Sukhendu Sadhukhan, Multiferroics Award, Young Scientist Award

PHD at The University of Burdwan, West Bengal, India

Dr. Sukhendu Sadhukhan, a highly accomplished researcher and educator based in West Bengal, India, boasts a rich portfolio of achievements. With a patent and over ten publications in esteemed international journals, he excels in multiferroics research. His expertise extends to developing lab instruments, programming Android and web apps, and teaching in both academic and private settings. Dr. Sadhukhan holds a Ph.D. from The University of Burdwan and is proficient in various programming languages and research instruments. His passion for science and technology drives him to continually explore new frontiers in condensed matter physics, making him a notable figure in the field.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profile

ResearchGate profile

LinkedIn profile

Education:

Secondary: Qualified Madhyamik from Nawpara High School under W.B.B.S.E. in 2009, with Distinction (80.50%) Higher Secondary: Qualified H.S. in Science from Chandannagar Bangavidyalaya under W.B.C.H.S.E. in 2011, with First class (73.40%) Graduation: B.Sc. (Honours) in Physics from The University of Burdwan in 2015, with First class (60.38%) Post-Graduation: M.Sc. in Physics from The University of Burdwan in 2017, with First class (8.16 CGPA ≈ 76.60%) Ph.D.: Awarded on 04.09.2023 under the supervision of Prof. Pabitra Kumar Chakrabarti from The University of Burdwan – Burdwan, West Bengal.

Professional Experience

Research Fellow: 07/2018 – 07/2023, Burdwan, India Teaching: Guest Lecturer of Physics Honours at Department of Physics, Khalisani Mahavidyalaya Dr. Sudhir Chandra Sur Institute of Technology (01.06.2023-01.09.2023, 22.08.2023-Till Now)

Qualifications:

Qualified for the National Eligibility Test (NET) in Physical Science twice. GATE in Physics

Teaching Experience:

Experience in degree and engineering colleges, including as a private tutor for over ten years

Research Information

Research Interest: Multiferroics (Condensed Matter Physics) Thesis Title: To study the Magneto-Electric behavior of some nanocrystalline, nanocomposite and bulk Multiferroics prepared by Chemical and Solid-state reaction routes

Research Focus:

Dr. Sukhendu Sadhukhan’s research focus lies primarily in the field of multiferroics, particularly in exploring the magnetic and electric properties of various materials. His work encompasses a wide range of studies, including the investigation of magnetoelectric coupling in nanocrystalline structures, the enhancement of multiferroicity through co-doping in nanoparticle systems, and the development of novel nanocomposites for applications such as wideband tunable microwave absorption. Through his research, Dr. Sadhukhan contributes significantly to advancing our understanding of multiferroic materials and their potential applications in various fields, from electronics to energy.

Publications (TOP NOTES)

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Emel Koc | Machine Learning Award | Best Researcher Award

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Dr. Emel Koc, Machine Learning Award, Best Researcher Award

PHD at Istanbul Okan University, Turkey

Emel Koç is a Computer Engineering Ph.D. candidate at Istanbul Okan University, specializing in image analysis with machine learning and deep learning approaches. With a background in Information Systems and Technologies from Bilkent University, Emel has held various leadership roles at Istanbul Okan University, focusing on sustainability, innovation, and learning application. She has contributed significantly to projects in clinical decision support systems and mobile game-based learning. Emel’s research, particularly in neuroimaging and biomedical image analysis, showcases her expertise in applying advanced computational techniques to solve real-world problems. Passionate about education, she also teaches courses in Artificial Intelligence and Management Information Systems.

Professional Profiles:

Orcid profile

Education:

Ph.D. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2013 – 2024) Msc. Istanbul Okan University, Istanbul Institute of Science, Computer Engineering (2011 – 2013) B.S. Bilkent University, Ankara Faculty of Applied Sciences, Information Systems and Technologies (2006 – 2010)

Experience

Sustainability and Innovation Center Assistant Director, Istanbul Okan University, Istanbul (02.08.2023 – Present) Learning Application and Research Center Director, Istanbul Okan University, Istanbul (01.10.2012 – Present) IT Expert, Istanbul Okan University, Istanbul (25.10.2010 – 01.10.2012) Application Development Intern, Acıbadem Hospital, Istanbul (17.08.2009 – 17.02.2010)

Projects

INTOUCH-ICT Project: “ICT Professionals in Touch: New nonroutine skills via mobile game-based learning” (2013 – 2015) Master Thesis: Clinical decision support systems: Methods and applications (2012 – 2013) Multiplatform M-Learning System for More Qualified Courses in the ICT Era (2012)

Teaching

Instructor at Istanbul Okan University covering Artificial Intelligence, Neuroscience and Neuroimaging, and Management Information Systems

Honors & Awards

Received the Blackboard Catalyst Awards – Leading Change in 2021 for contributions to hybrid education transformation.

Research Focus:

Emel Koç’s research primarily focuses on the application of machine learning and data analysis techniques in healthcare and education domains. Her work spans diverse topics such as autism spectrum disorder detection using neural networks, comparative studies on feature selection methods for analyzing medical data, and the implementation of game-based education strategies. Additionally, Emel has contributed to research in clinical decision support systems and the evaluation of classification algorithms for medical diagnoses. Her interdisciplinary approach combines computer science and healthcare management, emphasizing innovation in leveraging technology to improve healthcare outcomes and educational practices.

Publications (TOP NOTES)

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Janice Xin Yee Ng | Materials Science Award | Best Researcher Award

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Ms. Janice Xin Yee Ng, Materials Science Award, Best Researcher Award

PHD at The Curtin University, Australia

Janice Xin Yee Ng, a Chemical Engineering doctoral candidate at Curtin University, explores epoxy amine coating properties under ageing conditions. Her research, supported by the QEERI – Curtin Corrosion Research Alliance Scholarship, has led to notable publications in protective coating technology. With a Bachelor’s degree in Chemical Engineering from Curtin University, Janice brings diverse experience from roles at Woodside Energy, Chevron Australia Pty Ltd, METS Engineering Group, and Jinko Solar. Fluent in English, Chinese, Cantonese, and Malay, she excels in materials engineering, corrosion inspection, and process optimization, showcasing a multidisciplinary skill set and a commitment to advancing engineering solutions.

Professional Profiles:

Orcid profile

LinkedIn profile

Education:

Doctorate by Research (Chemical Engineering), Curtin University December 2020–Present QEERI – Curtin Corrosion Research Alliance Scholarship recipient Investigating the influence of ageing conditions on epoxy amine coating properties Notable publications in Advanced Protective Coating Technology and Progress in Organic Coatings Bachelor of Engineering (Chemical), Curtin University February 2015–December 2018

Experience

Academic Staff, Curtin University July 2022–December 2023 Conducting workshops and coursework delivery for Engineering First Year Unit Materials, Inspection and Corrosion Engineer, Woodside Energy November 2022–February 2023 Revised protective coating standards and developed calculation tools Research Assistant, Curtin Corrosion Centre March 2021–March 2022 Contributed to the INPEX CUI project Graduate Maintenance Engineer, Crystalise (Contracted to Chevron Australia Pty Ltd) March 2020–July 2020 Coordinated major maintenance activities at Chevron Gorgon and Wheatstone Upstream Facilities Graduate Process Engineer, METS Engineering Group September 2019–March 2020 Conducted metallurgical tests and contributed to equipment design and procurement Process Engineer, Jinko Solar February 2019–May 2019 Led production optimization and executed reliability tests on solar modules

Research Focus:

Janice Xin Yee Ng’s research primarily focuses on corrosion protection and materials engineering, specifically within the realm of epoxy coatings on carbon steel and stainless steel substrates. Her comparative study investigates the residual stresses induced in these coatings after thermal aging, contributing to the understanding of coating performance under harsh environmental conditions. This research falls within the interdisciplinary field of chemical engineering and corrosion science, addressing practical challenges in industry while advancing knowledge in materials science. Janice’s work highlights her expertise in protective coatings and underscores her dedication to advancing corrosion mitigation strategies for various engineering applications.

Publications (TOP NOTES)

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Charikleia Stoura | Structural Health Monitoring Award | Best Researcher Award

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Dr. Charikleia Stoura, Structural Health Monitoring Award, Best Researcher Award

PHD at The Hong Kong University of Science and Technology, Hong Kong

Charikleia Stoura is a Greek researcher specializing in bridge engineering and structural dynamics. She holds a Ph.D. from The Hong Kong University of Science and Technology, focusing on vehicle-bridge interaction in railway bridges. Currently, she is a Marie Skłodowska-Curie Global Postdoctoral Fellow at ETH Zürich and Politecnico di Milano, investigating on-board monitoring of rail infrastructure. With a strong academic background and numerous awards, including the ETH Zürich Postdoctoral Fellowship and the HKIE Structural Division Excellence Award, Stoura is dedicated to advancing civil engineering through her research and teaching endeavors.

Professional Profiles:

Scopus profile

Orcid profile

Googlescholar profilr

ResearchGate profile

LinkedIn profile

Education:

Doctor of Philosophy (PhD) in Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong September 2016 – August 2021 Thesis: Analytical and Numerical Examination of the Vehicle-Bridge Interaction Phenomenon in Railway Bridges. Academic advisor: Dr. Elias Dimitrakopoulos. Diploma (M.Eng) in Civil Engineering, National Technical University of Athens (NTUA), Greece September 2010 – November 2015 Thesis: Seismic Behavior of Reinforced Concrete Masonry Tie Beams Strengthened by Steel Plates.

Professional and Research Experience

Postdoctoral Researcher, ETH Zürich, Switzerland, and Politecnico di Milano, Italy March 2022 – Present Focus on on-board monitoring of rail infrastructure through the collection of vibration data from in-service trains. Academic advisors: Dr. Eleni Chatzi and Dr. Alfredo Cigada. Ph.D. Candidate, The Hong Kong University of Science and Technology, Hong Kong September 2016 – August 2021 Investigated the physical mechanisms of the vehicle-bridge interaction phenomenon, developed numerical algorithms, and conducted experimental testing.

Teaching Experience

Teaching Assistant, Dynamics, Ashesi-ETH Master program in Mechatronics Engineering, Ashesi University, Ghana October 2023 – Present Supervision of Final Year Projects and M.Sc. Theses, The Hong Kong University of Science and Technology, Hong Kong February 2018 – August 2021 Teaching Assistant, Various Courses, The Hong Kong University of Science and Technology, Hong Kong February 2017 – May 2020

Research Interests:

Bridge Engineering, Railways, Structural Dynamics, Vehicle Dynamics, Vehicle-Bridge Interaction, Structural Health Monitoring.

Research Focus:

Charikleia Stoura’s research primarily focuses on the interaction between vehicles and bridges, particularly in the context of structural dynamics and health monitoring. Her work delves into understanding the additional damping effects on bridges caused by vehicle-bridge interaction and proposes innovative solutions to decouple and analyze this phenomenon. Through her studies, she has developed advanced numerical algorithms and methods, such as the Modified Bridge System and localized Lagrange multipliers approach, to address these complex dynamics. Stoura’s contributions advance the field of bridge engineering, offering insights into improving the safety and resilience of transportation infrastructure, especially in the realm of railway systems.

Publications (TOP NOTES)

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Raghad Rajabi | Nanomaterial Award | Best Researcher Award

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Ms. Raghad Rajabi, Nanomaterial Award, Best Researcher Award

Al-Furat Company for Bottled Water Production, Vietnam

Raghad Rajabi is a dedicated professional with expertise in nutrition, food process engineering, and sustainability. With a master’s degree in Profitable Agricultural Business – Food Engineering, Raghad has a proven track record in quality assurance and water treatment. Her career spans roles in microbiological and chemical analysis, alongside freelance consulting on nutrition and food processing. Committed to global water solutions, Raghad aims to leverage her skills to ensure clean water access while promoting environmental conservation. Fluent in English and Arabic, she possesses strong communication and leadership skills. Raghad’s passion for sustainability and community service drives her towards making a positive impact worldwide.

Professional Profiles:

Scopus profile

ResearchGate profile

Education:

Master of Science (MS) in Profitable Agricultural Business – Food Engineering, 2023. Diploma in RO Desalination Plants Operation, Maintenance, and Design Skills, 2022. Bachelor of Science in Nutrition and Food Process Engineering, Hebron University, 2011-2015. High School Diploma (Tawjihi), Abd-Alazeez Abu Suneineh Secondary School, Hebron, Palestine, 2011.

Experiences:

Al-Furat Company for Bottled Water Production (June 2016 – Present): As Total Quality Assurance, Raghad designed and operated water filtration units, established quality management systems, and set up a microbiology laboratory for water, juice, and raw material testing. Cesvi Italian Company (November 2022 – June 2023): Raghad worked as a Microbiological and Chemical Analyst, conducting analyses on spring water samples, evaluating filtration system effectiveness, and collaborating on process improvements. Shareef Company (October 2022): Raghad served as a Trainer for Quality Engineers and Laboratory Technicians, assisting in R&D and providing training on quality control systems.

Freelance Work:

Raghad has worked as a Freelance Nutrition Consultant since January 2020, providing water recipe design and consultation on food processing improvement.

Areas of Expertise:

Quality Assurance, Relationship Building, Team Collaboration, Diplomacy and Problem Solving, Research and Analysis

Research Focus:

Raghad Rajabi’s research focus lies at the intersection of nanotechnology, nutrition, and sustainable materials. Her work on the novel synthesis and application of surface-decorated vitamin D3 in starch-based nanoparticles showcases her expertise in developing innovative solutions for health and environmental challenges. By incorporating vitamin D3 into starch-based nanoparticles, Raghad explores avenues to enhance nutrient delivery systems while utilizing renewable and biodegradable materials. This research aligns with her broader commitment to advancing sustainable practices in food engineering and promoting health benefits through cutting-edge technology. Raghad’s interdisciplinary approach underscores her dedication to addressing complex issues through scientific innovation and responsible resource management.

Publications (TOP NOTES)

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