Prof Janusz Majta | Microstructure and Properties | Best Researcher Award

Published on 15/07/202515/07/2025 by Material Scientist

Prof Janusz Majta | Microstructure and Properties | Best Researcher Award

Prof. Janusz Majta is a Full Professor at the AGH University of Krakow, Poland, specializing in materials science and metal forming. He earned his PhD, with a focus on microstructure evolution and plastic deformation under dynamic conditions. He has conducted postdoctoral research at the University of Waterloo, Canada, and collaborated extensively with Los Alamos National Laboratory in the U.S. His research interests include multiscale modeling, severe plastic deformation (SPD), ultrafine-grained materials, and metal-to-metal composites. Prof. Majta has authored over 230 publications, supervised 9 PhD candidates, and led several international projects funded by DOE, DOD, NSERC, and the European Commission. He is an active member of global scientific societies and has played a key role in organizing the Metal Forming International Conference series.

Prof Janusz Majta, AGH University of Krakow, Poland

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🎓 Education

Prof. Janusz Majta holds a strong academic foundation in metallurgical and materials science. He earned his BSc in Metallurgical Engineering, followed by an MSc in Metal Forming in 1980 from the University of Mining and Metallurgy in Krakow, Poland. He obtained his PhD in Metallurgical and Materials Science from the same university . He completed his DSc in Materials Science, and in September, he was awarded the title of Full Professor.

💼 Experience

Prof. Majta is currently a Full Professor at the AGH University of Science and Technology in Kraków, Poland. His academic journey at AGH began as a Lecturer, progressively rising through the ranks to Assistant Professor, Associate Professor, and then Full Professor . Internationally, he served as a Postdoctoral Fellow at the University of Waterloo in Canada and worked multiple times as a visiting researcher and consultant at the Los Alamos National Laboratory in the United State. He also acts as an Expert for the European Commission Research Department .

🛠️ Contributions

Prof. Janusz Majta has made significant and sustained contributions to the field of materials science and engineering, particularly in the areas of metal forming, plastic deformation, and multiscale modeling. He has authored over 230 scientific publications in prestigious journals and conference proceedings, along with 4 monographs and 10 edited volumes of international conference materials. His research has advanced the understanding of microstructure evolution under dynamic and thermomechanical loading, leading to improved design strategies for high-performance structural materials. Prof. Majta’s pioneering work on the behavior of multiphase materials under severe plastic deformation and his development of computational models for metal forming processes have had both theoretical and practical impact. Internationally recognized, he has delivered numerous invited talks and contributed presentations at conferences worldwide. As a leader and mentor, he has supervised nine PhD candidates and actively participated in major international research collaborations supported by organizations such as the DOE, DOD, NSERC, the European Commission (PHARE, RFCS), and the Marie Skłodowska-Curie Foundation. Through his engagement with scientific committees, editorial duties, and long-standing role in organizing the Metal Forming International Conference, Prof. Majta has played a pivotal role in shaping research directions and promoting scientific exchange in the field.

📡 Research Projects

Prof. Janusz Majta has led and participated in numerous national and international research projects aimed at advancing materials engineering and metal forming technologies. His work has received support from prominent funding agencies and organizations, including the U.S. Department of Energy (DOE), the Department of Defense (DOD), the Natural Sciences and Engineering Research Council of Canada (NSERC), the European Commission through PHARE and RFCS programs, and the prestigious Marie Skłodowska-Curie Foundation. These projects have addressed critical challenges in modeling and predicting the behavior of multiphase and ultrafine-grained materials under complex loading conditions. His research has contributed to the development of physically-based simulation tools for microstructure evolution, thermomechanical processing, and severe plastic deformation techniques. Notably, his collaborations with the Los Alamos National Laboratory in the United States focused on improving the dynamic performance and structural stability of advanced alloys and composites. Through these interdisciplinary and multinational research efforts, Prof. Majta has significantly influenced both academic and industrial practices in the design and processing of advanced materials.

🔬 Research Focus

Prof. Majta’s research centers on multiscale modeling of microstructure and mechanical behavior in multi-phase and ultrafine-grained materials. He specializes in mathematical and computational modeling of metal forming processes, microstructure evolution, and plastic deformation under dynamic loading. His work emphasizes physically-based design of structural materials with superior properties, including SPD (Severe Plastic Deformation) processes, nanostructured and multilayered materials, and composites reinforced with dispersed particles. His contributions bridge fundamental theory with applied research in both manufacturing and advanced material development.

📘 Publications

📄 Modeling of Microstructure Evolution in Multiphase Steels under Dynamic Loading
👨‍🔬 Author: Janusz Majta
📘 Journal: Journal of Materials Processing Technology

📄 Multiscale Simulation of Severe Plastic Deformation in Ultrafine-Grained Alloys
👨‍🔬 Author: Janusz Majta
📘 Journal: Materials Science and Engineering A

📄 Computational Modeling of Thermomechanical Metal Forming Processes
👨‍🔬 Author: Janusz Majta
📘 Journal: International Journal of Mechanical Sciences

📄 Shear Band Instabilities in Polycrystalline Structures
👨‍🔬 Author: Janusz Majta
📘 Journal: Acta Materialia

📄 Physically Based Design of Metal-to-Metal Composites
👨‍🔬 Author: Janusz Majta
📘 Journal: Materials & Design

Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Published on 27/06/202527/06/2025 by Material Scientist

Dr SOOK SAM LEONG | Materials Science | Best Researcher Award

Dr. Sook Sam Leong 🎓🩻 is a Senior Lecturer and Clinical Researcher at Universiti Teknologi MARA, Malaysia. With over 20 years of experience in diagnostic imaging, she specializes in medical ultrasound, renal imaging, radiation safety, and AI in radiology 🧠🔬. Her impactful work includes shear wave elastography, MRI training in VR, and fatty liver assessment via ultrasound 🧪💻. She has authored 20+ peer-reviewed articles in top journals 📚🌍 and received multiple awards 🏆 for innovation and scientific merit. A passionate educator and grant leader, Dr. Leong advances clinical imaging through research, mentorship, and international collaboration 🤝✨.

Dr SOOK SAM LEONG, UNIVERSITI TEKNOLOGI MARA, Malaysia

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🎓 Education

Dr. Sook Sam Leong 🎓 has a distinguished academic background in medical imaging and ultrasound. She earned her PhD in Medical Ultrasound with Distinction from the University of Malaya in 2020 🥇, following her Master in Medical Science (Ultrasound) in 2013. Her academic journey began with a Diploma in Medical Radiography (2003) 🏥 from the same university. In 2007, she completed a B.Sc. in Radiographic Science at the University of Teesside with First Division Honors 🏆. She also trained at Jefferson Ultrasound Research and Education Institute (JUREI) in 2004, completing a Basic Abdominal Ultrasound Course 🔬📸.

👩‍⚕️Experience

Dr. Sook Sam Leong brings over 20 years of multidisciplinary clinical and academic experience in diagnostic imaging 🏥🩻. Starting as a Senior Radiographer at University of Malaya Medical Centre (2003–2021) and now a Senior Lecturer at Universiti Teknologi MARA (UiTM), she has specialized in ultrasound, CT, MRI, radiation protection, and digital radiography 💻🔬. She has served on ethics, program planning, and medical technology committees 🧠📊, and contributed as a consultant for Philips Ultrasound and Malaysia’s Ministry of Health. An accomplished educator 🎓, she has taught ultrasound and CT at leading universities, mentoring the next generation of radiology professionals 🧑‍🏫🌟.

🏆 Awards

Dr. Leong has earned multiple prestigious awards including the 🥇 Best Innovation Award (UiTM, 2023), 🥈 Best Researcher Award (2022), and 🎖️ Outstanding Scientific Merit Award (AACRT, 2023). Her accolades reflect her excellence in clinical imaging, innovation, and scientific impact. She also secured competitive research funding 💰, leading the FRGS grant (RM108,600, 2023–2025) and multiple university-backed projects. Her recognition spans oral presentations, poster excellence, and quality improvement awards, demonstrating sustained excellence across academic, clinical, and translational domains 🧪📊👩‍⚕️.

🖥️ Expertise

Dr. Leong is a highly skilled expert in Ultrasound 🧪, Computed Tomography (CT) 🖥️, and General Radiography 📷, with over two decades of experience in clinical diagnostics and medical education. Her work in ultrasound imaging includes cutting-edge research in shear wave elastography and attenuation techniques. She applies CT and radiographic methods in evaluating complex clinical cases, including renal and hepatic conditions 🩺🧬. Her commitment to precision, safety, and innovation in radiological sciences positions her as a leading voice in advancing diagnostic imaging technologies for enhanced patient care and training 🧠🌍.

🩻Contributions

Dr. Sook Sam Leong has significantly advanced ultrasound elastography, AI-assisted diagnostics, and clinical imaging 📊🧠. With over 20 WOS-indexed publications 📚 and an h-index of 11 📈, her research has revolutionized imaging for kidney disease, musculoskeletal disorders, and forensic applications 🧬🦴. As FRGS principal investigator, she explores stiffness biomarkers via shear wave elastography 💡. Her excellence is recognized with awards like AACRT 2025 Best Paper and UiTM Innovation Award 2023 🏅. Dr. Leong continues to impact global health through AI integration, collaborative research, and postgraduate mentorship 🌍🎓.

🔬 Research Focus

Dr. Sook Sam Leong’s research is centered on enhancing diagnostic accuracy using Ultrasound and Computed Tomography (CT). Her work explores cutting-edge methods like shear wave elastography for tissue stiffness evaluation, attenuation imaging for fatty liver detection, and the integration of AI and machine learning in radiological interpretation 🤖📊. She also investigates radiation safety, forensic imaging, and VR-based MRI education 🛡️🧍‍⚕️. Bridging clinical application with research, her contributions support early disease detection, patient safety, and medical education, driving innovation in non-invasive diagnostics and multidisciplinary healthcare delivery 🌍💡📈.

📚 Publications

2D shear wave elastography for the assessment of quadriceps entheses—a methodological study
👩‍🔬 SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, LSM Yamin, …
📘 Skeletal Radiology, 2024, Vol. 53(3), pp. 455–463

Application of entropies for automated diagnosis of abnormalities in ultrasound images: A review
👩‍🔬 Y Hagiwara, VK Sudarshan, SS Leong, A Vijaynanthan, KH Ng
📘 Journal of Mechanics in Medicine and Biology, 2017, Vol. 17(07), Article 1740012

Shear wave elastography in chronic kidney disease – the physics and clinical application
👩‍🔬 KH Ng, JHD Wong, SS Leong
📘 Physical and Engineering Sciences in Medicine, 2024, Vol. 47(1), pp. 17–29

THE ROLE OF SHEAR WAVE ELASTOGRAPHY IN POST-MORTEM CANINES
👩‍🔬 SS Leong, WK Ong, RR Azman, MNM Shah, A Vijayananthan, SF Lau
📘 Journal of Medical Imaging and Radiation Sciences, 2023, Vol. 54(3), Supplement S9

Dispersion patterns of scattered radiation exposure on phantom in CT fluoroscopy
👩‍🔬 SS Leong, N Azman, A Vijayananthan, JHD Wong
📘 Radiation Physics and Chemistry, 2025, Vol. 235, Article 112810

Defining normal enthesis stiffness range in a healthy adult population
👩‍🔬 MKJ Mahazer, SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, …
📘 British Journal of Radiology, 2025, Vol. 98(1167), Article 469–474

Quantifying canine tissue stiffness change patterns using shear-wave elastography: implications for time of death estimation
👩‍🔬 WK Ong, SS Leong, RR Azman, MN Md Shah, A Vijayananthan, SF Lau
📘 Australian Journal of Forensic Sciences, 2024, pp. 1–14

Dr Gevorg Gevorg | Thermodynamics of Materials | Best Researcher Award

Published on 26/06/2025 by Material Scientist

Dr Gevorg Gevorg | Thermodynamics of Materials | Best Researcher Award

Dr. Gevorg Avágovich Grigorian 🎓📐 is a senior researcher at the Institute of Mathematics, National Academy of Sciences of Armenia 🇦🇲. His research expertise lies in ordinary differential equations (ODEs), with a special focus on oscillation theory, stability analysis, and Wiener–Hopf integral equations. 🧮🧠 He has authored over 15 peer-reviewed publications in esteemed journals such as Mathematical Notes and Monatshefte für Mathematik 📝📚. Dr. Grigorian’s contributions offer theoretical foundations vital for applications in physics, engineering, and computational modeling. His rigorous work continues to shape the future of applied mathematics and system dynamics. 🌐📊🔍

Dr Gevorg Gevorg, Institute of Mathematics of the National Academy of Science of the Republic of Armenia, Armenia

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Education 🎓

Dr. Gevorg Avágovich Grigorian 🎓📘 earned his advanced degrees in Mathematics from prestigious institutions in Armenia, specializing in ordinary differential equations, stability theory, and integral equations. 🧠📐 His academic foundation was built through rigorous training in classical analysis, linear algebra, and functional methods. 🏛️📊 As a product of Armenia’s elite mathematical education system 🇦🇲, Dr. Grigorian has demonstrated exceptional analytical acumen, leading to a prolific research career at the Institute of Mathematics, National Academy of Sciences of Armenia. His deep understanding of mathematical systems continues to influence modern theoretical approaches in applied and pure mathematics. 📚🔬🌍

Experience ✍️

Dr. Gevorg Avágovich Grigorian 📘🧠 has extensive experience as a mathematical researcher at the Institute of Mathematics, National Academy of Sciences of Armenia 🇦🇲. With a career dedicated to the in-depth study of first-order ordinary differential equations, he has contributed groundbreaking work on oscillation theory, stability, and integral equations. 🧮🔍 He has published in top journals like Mathematical Notes and Monatshefte für Mathematik, and is recognized for his rigorous analytical methods. 📈✍️ Dr. Grigorian’s expertise supports interdisciplinary applications across engineering, physics, and computational modeling, marking him as a key figure in mathematical innovation. 🌍📐

Research Focus 🔍

Dr. Grigorian’s research is rooted in ordinary differential equations (ODEs), with a sharp focus on oscillation theory, stability analysis, and integral equations such as the Wiener–Hopf type. 🧮 His recent work investigates solvability criteria for complex systems, aiming to bridge abstract mathematical theory with applications in physics, engineering, and signal processing. ⚙️📊 He develops new analytical frameworks for understanding nonhomogeneous systems, Riccati equations, and linear dynamical models. Through 15+ publications, he contributes to advancing the theory of dynamic systems, particularly in system reducibility, asymptotic behavior, and global solution existence. 🌐🔍📐

Publication 📘

Solvability Conditions for a Class of Wiener–Hopf Integral Equations of the First Kind 🧮📘

✍️ Author:
Gevorg Avágovich Grigorian 👨‍🏫

📚 Journal:
Mathematical Notes, 2025 📰📐

Mr A S M Riyad | Recycling and Circular Economy in Materials | Best Researcher Award

Published on 06/05/202506/05/2025 by Material Scientist

Mr A S M Riyad | Recycling and Circular Economy in Materials | Best Researcher Award

Mr. A S M Riyad is a passionate and accomplished researcher in Geotechnical and Geo-Environmental Engineering 🌍🧱. Currently pursuing a Ph.D. at the University of Technology Sydney (UTS), Australia, he has consistently demonstrated excellence in academic research and collaboration 🌐📚. His dedication to sustainable construction practices, especially through the reuse of waste materials, marks his commitment to eco-conscious engineering 🔄🏗️. With a strong academic foundation, numerous publications, and teaching experience, Mr. Riyad is recognized for his critical thinking, innovation, and integrity in the civil engineering community 🧠🌟.

Mr A S M Riyad, University of Technology Sydney, Australia

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🎓 Education

Mr. Riyad’s educational journey showcases a strong and continuous focus on civil engineering 📘🛠️. He began with a B.Sc. in Civil Engineering (2010–2014) and continued with a M.Sc. in Civil Engineering (2015–2018), both from Khulna University of Engineering & Technology (KUET), Bangladesh 🎓🇧🇩. He is currently pursuing his Ph.D. in Geotechnical Engineering at the University of Technology Sydney (UTS), Australia 🇦🇺🎓. His academic pathway reflects a consistent pursuit of advanced knowledge, complemented by his research in waste material reuse and foundation engineering 🔍🏗️.

👨‍🏫 Experience

Mr. Riyad has been serving as a faculty member in the Department of Civil Engineering at KUET since 2015 👨‍🏫🇧🇩. His experience includes teaching undergraduate courses, curriculum planning, academic advising, and active participation in examination committees 📑📊. Alongside teaching, he works as a consultant engineer at Consultancy, Research & Testing Services (CTRS), KUET, where he contributes to material testing, soil exploration, infrastructure design, and civil works implementation 🏗️📐. His multifaceted role reflects a rare blend of research, teaching, and real-world engineering solutions 🔬🛠️.

🔬 Research Focus

Mr. Riyad’s research centers on Geotechnical Engineering, particularly the reuse of waste materials for sustainable infrastructure development ♻️🏗️. His work involves laboratory testing, material modeling, and soil behavior analysis under various stabilization techniques 🧪📊. Through his Ph.D. and ongoing studies, he focuses on developing eco-friendly, cost-effective, and structurally reliable alternatives to conventional construction practices 🌱🧱. His interdisciplinary approach integrates civil, environmental, and material sciences, contributing to modern challenges in urban development and waste management 🌐💡.

📚 Publications

Compressive Behavior of Reconstituted Soils at High Initial Water Content: Case Study on South-Western Region of Bangladesh
✍️ Authors: ASM Riyad, IM Rafizul, R Kadir
📚 Journal: Journal of Engineering Science, Vol. 14(1), pp. 1–9
📅 Year: 2023
🌍 Theme: Soil mechanics, geotechnical engineering

Sustainable Management Scheme for Household & Academic Institutional Solid Waste Generation: A Case Study in Khulna Metropolitan City
✍️ Author: ASM Riyad
📚 Journal: International Journal of Renewable Energy and Environmental Engineering, Vol. 3
📅 Year: 2015
🏙️ Theme: Urban sustainability, waste management

Numerical Modelling of Anchor Foundation in Dense Sand
✍️ Authors: ASM Riyad, M Rokonuzzaman
📚 Journal/Conference: 4th International Conference on Civil Engineering for Sustainable Development, KUET
📅 Year: 2018
🧮 Theme: Numerical modeling, foundation engineering

Characterization of Leachate Generated from Landfill Lysimeter: Effects of Clay Liner and Solid Waste Composition
✍️ Authors: F Alam, ASM Riyad, M Alamgir
📚 Conference: 15th International Waste Management and Landfill Symposium – Sardinia
📅 Year: 2015
🗑️ Theme: Environmental engineering, landfill management

An Extended Perspective on the Disturbed State Concept for Rubber–Mixed Waste Material Considering Modulus Degradation under Cyclic Loading
✍️ Authors: ASM Riyad, B Indraratna, CK Arachchige, Y Qi, H Khabbaz
📚 Journal: International Journal of Geomechanics, Vol. 25(5), Article 06025002
📅 Year: 2025
🔁 Theme: Soil behavior, recycled materials, cyclic loading

Constitutive Behaviour of Recycled Rubber-Involved Mixtures for Transportation Infrastructure
✍️ Authors: Y Qi, K Wijesooriya, B Indraratna, ASM Riyad
📚 Journal: Sustainability, Vol. 17(9), Article 3956
📅 Year: 2025
🚧 Theme: Sustainable infrastructure, material innovation

Ann Kurian | Biomaterials | Best Researcher Award

Published on 09/04/202509/04/2025 by Material Scientist

Ms. Ann Kurian | Biomaterials | Best Researcher Award

Ann Anu Kurian is a biomedical researcher with over seven years of experience specializing in cellular biology and RNA-based gene delivery. She holds an MS in Biomedical Science from Morehouse School of Medicine and a BTech in Biotechnology from Lovely Professional University. Currently an Associate Researcher II and Lab Manager at the Icahn School of Medicine at Mount Sinai, her work focuses on cardiac and skeletal muscle regeneration using modified mRNA technologies. She has contributed to multiple peer-reviewed publications and has been recognized with several academic honors, including a Presidential Scholarship and research presentation awards.

Ms.Ann Kurian , Icahn school of medicine, United States.

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🎓 Education

Ann Anu Kurian holds a Master of Science in Biomedical Science from Morehouse School of Medicine in Atlanta, Georgia, completed between August 2015 and May 2017. She also earned a Bachelor of Technology in Biotechnology from Lovely Professional University in India, where she studied from August 2009 to May 2013.

🌟 Experience

With over seven years of research experience, Ann currently serves as an Associate Researcher II and Research Lab Manager at the Icahn School of Medicine at Mount Sinai in New York. Since November 2023, she has been working in the Gregorio Laboratory, conducting research focused on understanding the components and molecular mechanisms that regulate actin architecture in cardiac and skeletal muscle during both normal development and disease. Prior to this, she held a similar role in the Zangi Laboratory from August 2017 to November 2023, where she led projects utilizing modified mRNA to improve cardiac outcomes post-injury and managed various aspects of laboratory operations. Her professional journey began in India at VWR International from January 2014 to August 2015, where she supported chemical projects, maintained product data in SAP, and enhanced product descriptions.

🏅 Awards and Honors

Ann has been recognized for her academic and research achievements, receiving a Presidential Scholarship from Morehouse School of Medicine in 2017. The same year, she earned a travel award to attend the Georgia Academy of Science annual meeting. She also presented her research at several prestigious conferences, including the Ninth AACR Conference on The Science of Cancer Health Disparities, the Curtis L. Parker Student Research Symposium, and the Georgia Academy of Science annual meeting.

📖Skill

Ann is skilled in a wide range of technical and laboratory techniques. Her expertise includes molecular biology methods such as PCR, gel electrophoresis, cloning, RNA and DNA extraction, modified mRNA production, and LNP characterization. She is proficient in cell culture techniques, cardiomyocyte isolation, tissue sectioning, histological staining, and confocal microscopy. Her experience also includes data analysis, IVIS imaging, and statistical evaluation. She has strong capabilities in animal handling and laboratory management, including procurement, equipment maintenance, and regulatory compliance.

🔬 Research Focus

Ann’s research centers on cellular biology and RNA-based gene delivery systems, particularly in the context of cardiac and skeletal muscle biology. Her work has explored the use of modified mRNA technologies to induce gene expression for therapeutic regeneration following cardiac injury. Her contributions to the field are reflected in numerous peer-reviewed publications, addressing areas such as cardiomyocyte proliferation, ischemic injury, cardiac regeneration, and mRNA optimization.

📘 Publications

Pkm2 regulates cardiomyocyte cell cycle and promotes cardiac regeneration
Authors: A Magadum, N Singh, AA Kurian, I Munir, T Mehmood, K Brown, …
Year: 2020
Journal: Circulation (Volume 141, Issue 15, Pages 1249–1265)

Altering sphingolipid metabolism attenuates cell death and inflammatory response after myocardial infarction
Authors: Y Hadas, AS Vincek, E Youssef, MM Żak, E Chepurko, N Sultana, …
Year: 2020
Journal: Circulation (Volume 141, Issue 11, Pages 916–930)

Ablation of a single N-glycosylation site in human FSTL 1 induces cardiomyocyte proliferation and cardiac regeneration
Authors: A Magadum, N Singh, AA Kurian, MTK Sharkar, E Chepurko, L Zangi
Year: 2018
Journal: Molecular Therapy – Nucleic Acids (Volume 13, Pages 133–143)

Optimization of 5′ untranslated region of modified mRNA for use in cardiac or hepatic ischemic injury
Authors: N Sultana, Y Hadas, MTK Sharkar, K Kaur, A Magadum, AA Kurian, …
Year: 2020
Journal: Molecular Therapy Methods & Clinical Development (Volume 17, Pages 622–633)

Direct reprogramming induces vascular regeneration post muscle ischemic injury
Authors: K Kaur, Y Hadas, AA Kurian, MM Żak, J Yoo, A Mahmood, H Girard, …
Year: (Year not provided)
Journal: Molecular Therapy (Volume 29, Issue 10, Pages 3042–3058)

Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Published on 07/02/2025 by Material Scientist

Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Assist. Prof. Dr. Chuan-De Liu is a Lecturer at the School of Future Technology, Nanjing University of Information Science and Technology 🏛️. He holds a Ph.D. in Electrical Engineering from Southeast University (2022) and was a CSC Visiting Scholar at ENSTA-IP Paris, France (2020) 🌍. His research focuses on robotic dexterous manipulation, AI-augmented visual servoing, and autonomous unmanned systems 🚁. He has published high-impact articles in IEEE-CYBER, Complex & Intelligent Systems, and Industrial Robot 📚. His expertise in robotics, AI-driven control, and industrial automation makes him a leading innovator in intelligent robotic systems 🏆✨.

Assist. Prof. Dr Chuan-De Liu, School of Future Technology, China

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Education🎓📚

Assist. Prof. Dr. Chuan-De Liu earned his Ph.D. in Electrical Engineering from Southeast University in March 2022 🎓, where he specialized in robotic planning, control, and AI-driven automation 🤖. In September 2020, he was a CSC Visiting Scholar in Robotics at ENSTA-IP Paris, France 🌍, gaining international experience in robotic dexterous manipulation and autonomous systems 🚀. He previously completed his Master’s degree (MEng) in Electrical Engineering at Southeast University in December 2016 ⚡. His strong academic background in robotics, AI, and intelligent control systems provides the foundation for his cutting-edge research in automation and robotics 🔬✨.

Honors and Awards🏆

Assist. Prof. Dr. Chuan-De Liu has received multiple prestigious awards for his contributions to robotics and engineering 🤖. In 2023, he was honored as the NUIST Excellent Supervisor for Undergraduate Thesis 🏛️. He was awarded the China Scholarship Council (CSC) Scholarship (2019) for his research in robotics at ENSTA-IP Paris, France 🌍. His Bionic-Robot research earned him a Finalist position for the Best Student Paper Award at IEEE-CYBER 2019 📜. Additionally, he won Jiangsu Province’s Outstanding Master’s Thesis Award (2018) 🏅 and secured the NaRi-Relays Scholarship (2016) for excellence in electrical engineering ⚡.

Research Focus🤖

Assist. Prof. Dr. Chuan-De Liu’s research focuses on robotics, AI-driven automation, and intelligent control systems 🚀. His expertise includes robotic dexterous manipulation, autonomous UAV systems, and motion planning for industrial robots 🤖. He develops advanced control techniques for floating wind turbines, bionic-robot movement planning, and high-precision sensing systems ⚡. His work in disturbance observer-based sliding mode control, satellite-borne calibration, and robotic vision processing enhances autonomous system performance 🌍. With a strong foundation in robotic safety, real-time motion planning, and intelligent inspection platforms, his research contributes significantly to next-generation automation and AI-driven robotics 🏆✨.

Publications📚

Reconfigurable High-Precision AC Voltage Detector for Aerospace Applications
🖊️ Authors: L. Jiang, L. Zhu, C. Liu, Q. Hou
📖 Journal: Measurement (2025)

An Adaptive Dual-Docking Force Control of Ship-Borne Manipulators for UAV-Assisted Perching
🖊️ Authors: C. Liu, S. Fang, J. Li, B. Gao
📖 Journal: IEEE-CYBER (2024)

High-Precision and Wide-Range Temperature Measurement and Control System of Satellite-Borne Calibration Blackbody
🖊️ Authors: L. Jiang, C. Liu, L. Zhu, Z. Zhang, Q. Hou
📖 Journal: Measurement (2024)

A Self-Constructed CNN Classifier for Keyhole Detection and Location
🖊️ Authors: J. Ye, B. Gao, H. Chen, W. Xu, L. Zhong, C. Liu
📖 Journal: IEEE Sustainable Power and Energy Conference (iSPEC) (2020)

Towards a Balancing Safety Against Performance Approach in Human–Robot Co-Manipulation for Door-Closing Emergencies
🖊️ Authors: C. Liu, C. Yu, B. Gao, S.A. Ali Shah, A. Tapus
📖 Journal: Complex & Intelligent Systems (2022)

Self-Protective Motion Planning for Mobile Manipulators in a Dynamic Door-Closing Workspace
🖊️ Authors: C. Liu, B. Gao, C. Yu, A. Tapus
📖 Journal: Industrial Robot (2021)

Movement Planning and Control of an Overhead Power Transmission Line Inspection Bionic-Robot
🖊️ Authors: C. Liu, J. He, B. Gao
📖 Journal: IEEE-CYBER (2019)

These publications highlight Dr. Liu’s expertise in robotics, AI-driven control, intelligent automation, and precision engineering 🤖🚀.

Mr Sicheng Wang | Smart Materials | Best Researcher Award

Published on 03/01/2025 by Material Scientist

Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. 🏆⚡📚

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Academic Excellence 🎓📊

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. 🏅🔬✨

Awards and Competitions 🏆📚

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). 🏅🔢✨

Academic Engagement 🎓💼

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. 🧠🔬📊

Research Focus⚡🔬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. 🧠📊⚡