Prof. Dr Gustavo Halmenschlager | Biomaterials | Best Researcher Award

Prof. Dr Gustavo Halmenschlager | Biomaterials | Best Researcher Award

Prof. Dr. Gustavo Halmenschlager is a leading researcher in biomechanics, neuromuscular physiology, and strength training 💪. He holds a Ph.D. in Physical Education from the Federal University of Rio de Janeiro (2024) 🎓, specializing in muscle shear modulus and knee extensor torque. His expertise includes neuromuscular adaptations, flexibility, and sports rehabilitation 🏃‍♂️. With multiple peer-reviewed publications, his research integrates isokinetic dynamometry, electromyography (EMG), and ultrasound 🔍. As a professor and sports scientist, he contributes to high-performance training, rehabilitation, and injury prevention, making him a pioneer in sports science and an ideal candidate for the Best Researcher Award 🏆✨.

Prof. Dr Gustavo Halmenschlager, INTO – Instituto Nacional de Traumatologia e Ortopedia Jamil Haddad, Brazil

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Education 🎓

Prof. Dr. Gustavo Halmenschlager holds a Ph.D. in Physical Education from the Federal University of Rio de Janeiro (UFRJ) (2024) 🏛️, where he researched muscle shear modulus and knee extensor torque. He earned a Master’s degree in Physical Education (2020), focusing on muscle architecture and neuromuscular function 🏋️‍♂️. Additionally, he specialized in Biomechanics (2024) and Strength Training (2019) 📊. His Bachelor’s degree in Physical Education (2017) from the University of Passo Fundo laid the foundation for his research in sports performance and rehabilitation. His expertise in neuromuscular adaptations and injury prevention makes him a leading figure in biomechanics and exercise science 🏆.

Experience 🏋️‍♂️

Prof. Dr. Gustavo Halmenschlager has extensive academic and professional experience in biomechanics, neuromuscular rehabilitation, and strength training 🏛️. He has worked as a researcher at the Federal University of Rio de Janeiro (UFRJ), focusing on muscle biomechanics and flexibility 📊. He served as a guest professor in isokinetic dynamometry and conducted research at the Institute of Orthopedics and Traumatology 🏥. His work includes neuromuscular assessments, rehabilitation strategies, and sports performance optimization 🏃‍♂️. With expertise in electromyography, muscle mechanics, and injury prevention, he plays a key role in sports science and clinical biomechanics 🏆✨.

Research Focus 🔬

Prof. Dr. Gustavo Halmenschlager specializes in biomechanics, neuromuscular adaptations, and strength training 💪. His research focuses on muscle mechanics, flexibility, and rehabilitation, investigating non-uniform muscle responses, isometric contractions, and neuromuscular activation 🏋️. He explores how exercise selection influences muscle thickness, strength imbalances in athletes, and the effects of different training protocols ⚽. His studies on static stretching, electromyography (EMG), and passive torque enhancement provide insights into injury prevention and performance optimization 📊. His cutting-edge methodologies using ultrasound, isokinetic dynamometry, and sports science analysis contribute significantly to sports performance and rehabilitation advancements 🏆✨.

Publications 📚

Exercise selection plays an important role in inducing nonuniform acute responses on elbow flexors muscle thickness
🖊️ Authors: Leitão, B.F.M.; Albarello, J.C.S.; Halmenschlager, G.H.; De Salles, B.F.; Matta, T.T.
📖 Journal: Journal of Bodywork and Movement Therapies (2024) 💪

Can professional football practice lead to muscle strength imbalances?
🖊️ Authors: Albarello, J.C.S.; Halmenschlanger, G.H.; Favretto, E.; Fin, W.; Ahlert, M.; Bona, C.C.
📖 Journal: Revista Brasileira de Futsal e Futebol (2022) ⚽

Non-uniform excitation of pectoralis major induced by changes in bench press inclination leads to uneven variations in the cross-sectional area measured by panoramic ultrasonography
🖊️ Authors: Albarello, J.C.S.; Cabral, H.V.; Leitão, B.F.M.; Halmenschlager, G.H.; Lulic-Kuryllo, T.; Matta, T.T.
📖 Journal: Journal of Electromyography and Kinesiology (2022) 🏋️

Cardiorespiratory fitness and muscular strength of deaf futsal players
🖊️ Authors: Favretto, E.; Fin, W.; Albarello, J.C.S.; Halmenschlager, G.H.; Bona, C.C.; Pimentel, G.L.; Calegari, L.
📖 Journal: Journal of Exercise Rehabilitation (2019) ⚡

Comparison of EPOC and recovery energy expenditure between HIIT and continuous aerobic exercise training
🖊️ Authors: Ahlert, M.; Matzenbacher, F.; Albarello, J.C.S.; Halmenschlager, G.H.
📖 Journal: Revista Brasileira de Medicina do Esporte (2019) 🏃‍♂️

These high-impact studies highlight Dr. Halmenschlager’s expertise in biomechanics, sports performance, and neuromuscular adaptations 🏆✨.

Assist. Prof. Dr Rofice Dickson | Process Systems Engineering | Best Researcher Award

Assist. Prof. Dr Rofice Dickson | Process Systems Engineering | Best Researcher Award

Assist. Prof. Dr. Rofice Dickson is a leading researcher in chemical engineering and sustainable energy systems, currently a tenure-track professor at Aalto University, Finland 🏛️. He holds a Ph.D. in Chemical Engineering from Pukyong National University, South Korea, specializing in process synthesis of seaweed-based biorefineries 🌱. His research focuses on carbon capture (CCUS), hydrogen production, and biofuel optimization ⚡. With 27 peer-reviewed publications, 631 citations, and €335,500 in research funding, he has made significant contributions to renewable energy and process simulation ♻️. His global collaborations and academic leadership make him a pioneer in sustainable engineering 🏆✨.

Assist. Prof. Dr Rofice Dickson, Aalto University, Finland

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Education 🎓

Assist. Prof. Dr. Rofice Dickson holds a Ph.D. in Chemical Engineering from Pukyong National University, South Korea (2020) 🏛️, where he specialized in process synthesis of seaweed-based biorefineries 🌱. He earned his Master’s degree (M.Sc.) in Chemical Engineering from the University of the Punjab, Lahore (2016) ⚗️, focusing on biochemical conversion technologies. His academic journey began with a Bachelor’s degree (B.Sc.) in Chemical Engineering from the University of the Punjab (2013) 🏗️. His expertise in sustainable process design, renewable energy, and carbon capture technologies has positioned him as a leading researcher in green energy solutions ⚡♻️.

Experience 🏛️

Assist. Prof. Dr. Rofice Dickson is an Assistant Professor (Tenure-Track) at Aalto University, Finland (2024-2029) 🏗️, specializing in chemical and metallurgical engineering. Previously, he was a Postdoctoral Researcher at the Technical University of Denmark (2024) 🔬 and an Assistant Professor at Lahore University of Management Sciences (LUMS) (2021-2024) 📚. He also served as a Visiting Professor at Pukyong National University, South Korea (2021, 2023) 🌍. His industry experience includes working as an Assistant Manager at DG Khan Cement Company, Pakistan (2013-2017) 🏭. His expertise spans sustainable process design, renewable energy, and industrial optimization ⚡♻️.

Awards and Honors 🏆

Assist. Prof. Dr. Rofice Dickson has received 7 prestigious research grants totaling €335,500 💰 for his groundbreaking work in sustainable chemical engineering 🌱. He won the Best Presentation Award at the Conference on Sustainable Development, UET, Pakistan (2023) 🏅 and Pusan National University, Korea (2018) 🎖️. His research was recognized in Green Chemistry (2020) as one of the journal’s “hottest works” 🔥. Additionally, his article in ACS Sustainable Chemistry & Engineering was featured on the journal’s cover, highlighting his impact in renewable energy and process optimization ⚡.

Research Focus 🔬

Dr. Rofice Dickson’s research focuses on developing models, algorithms, and computer-aided tools to drive circular and sustainable solutions for renewable energy systems, carbon capture, and food production ⚡♻️. He specializes in hydrogen economy, biofuel optimization, and carbon utilization to enhance clean energy transitions 🌱. His work integrates process simulation, life cycle assessment (LCA), and techno-economic analysis 📊 to design efficient and scalable energy solutions 🔋. By leveraging computational frameworks and GIS-based modeling, he contributes to climate-friendly industrial processes, resource efficiency, and sustainable development in energy and chemical engineering 🌎✨.

Publications 📚

Availability, Versatility, and Viability of Feedstocks for Hydrogen Production: Product Space Perspective
🖊️ Authors: M.A. Qyyum, R. Dickson, S.F.A. Shah, H. Niaz, A. Khan, J.J. Liu, M. Lee
📖 Journal: Renewable and Sustainable Energy Reviews (2021) ⚡🌱

Sustainable Bio-Succinic Acid Production: Superstructure Optimization, Techno-Economic, and Lifecycle Assessment
🖊️ Authors: R. Dickson, E. Mancini, N. Garg, J.M. Woodley, K.V. Gernaey, M. Pinelo, J. Liu
📖 Journal: Energy & Environmental Science (2021) ♻️🏭

Life Cycle Assessment of Inland Green Hydrogen Supply Chain Networks with Current Challenges and Future Prospects
🖊️ Authors: M.S. Akhtar, R. Dickson, J.J. Liu
📖 Journal: ACS Sustainable Chemistry & Engineering (2021) 🔬🔋

Seaweeds as a Sustainable Source of Bioenergy: Techno-Economic and Life Cycle Analyses of Its Biochemical Conversion Pathways
🖊️ Authors: P. Fasahati, R. Dickson, C.M. Saffron, H.C. Woo, J.J. Liu
📖 Journal: Renewable and Sustainable Energy Reviews (2022) 🌊⚡

Optimal Plant Design for Integrated Biorefinery Producing Bioethanol and Protein from Saccharina japonica: A Superstructure-Based Approach
🖊️ Authors: R. Dickson, J.H. Ryu, J.J. Liu
📖 Journal: Energy (2018) 🏗️🍃

These high-impact publications reflect Dr. Dickson’s expertise in sustainable energy, hydrogen production, and bio-based industrial processes 🌍🏆.

Mr Arthur Owiny | Restoration of MINE WASTELAND | Best Researcher Award

Mr Arthur Owiny | Restoration of MINE WASTELAND | Best Researcher Award

Mr. Arthur Owiny is a renowned environmentalist, researcher, and lecturer specializing in forestry ecology, biodiversity conservation, and climate change adaptation 🌳. He holds a Master’s Degree in Environment and Natural Resources from Makerere University and a Postgraduate Diploma in Project Planning and Management 🎓. His research focuses on forest restoration, environmental impact assessment (EIA), and sustainable land management 🏞️. As a lecturer at Uganda Christian University, he mentors future conservation leaders 📚. His work with government agencies and NGOs has contributed to reforestation programs, wetland conservation, and renewable energy adoption, making him a key advocate for environmental sustainability 🏆✨.

Mr Arthur Owiny, Copperbelt University, Zambia

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Education🎓

Mr. Arthur Owiny holds a Master’s Degree in Environment and Natural Resources (MSc. ENR) from Makerere University (2008-2011) 🌱, where he specialized in climate change, environmental impact assessment (EIA), remote sensing, and biodiversity conservation 📊. He also earned a Postgraduate Diploma in Project Planning and Management from Uganda Management Institute (2017-2018), graduating with First Class honors 🏆. His academic journey began with a Bachelor of Honors’ Degree in Forestry from Makerere University (2003-2007) 🌳. His expertise in natural resource management, environmental sustainability, and GIS applications has laid a strong foundation for his conservation research and policy development 🔬✨.

Skills and Expertise 🎯

Mr. Arthur Owiny possesses strong communication, leadership, and organizational skills 🏛️. As President of the Graduate Council at Makerere University, he developed exceptional public speaking and interpersonal abilities 🎤. He has managerial experience as Project Manager at UNHCR-Nakivale, overseeing 30 staff across multiple sectors 📊. His expertise includes environmental impact assessment (EIA), biodiversity conservation, and research methodology 🔬. He is proficient in data analysis (SPSS, STATA, EPI-INFO) and Microsoft Office tools 💻. Additionally, he has teaching, project planning, and driving skills, demonstrating his versatility and dedication to environmental sustainability and education 🚀✨.

Research Focus 🌱

Mr. Arthur Owiny’s research focuses on forest ecology, biodiversity conservation, and environmental sustainability 🌳. His studies on Prunus africana regeneration and tree community reassembly after logging provide critical insights into forest restoration and conservation strategies 📖. He explores tropical forest recovery, ecological footprint analysis, and sustainable land management 🏞️. His research on the ecofootprint of charcoal production assesses its environmental and economic impact in Sub-Saharan Africa 🔥. His work contributes to climate change adaptation, habitat restoration, and natural resource management, supporting global conservation efforts and sustainable livelihoods 🏆✨.

Publications 📚

Population Structure and Regeneration Status of Prunus africana (Hook.f.) Kalkm. After Selective and Clear Felling in Kibale National Park, Uganda
🖊️ Authors: Owiny, A.A., Malinga, G.M.
📖 Journal: International Journal of Biodiversity and Conservation (2014) 🌱

Tree Community Reassembly After Selective and Clear-Cut Logging in an Afro-Tropical Rainforest
🖊️ Author: Owiny, A.A.
📖 Journal: Israeli Journal of Ecology and Evolution (2016) 🌳

Communities of Trees Along a Tropical Forest Restoration Gradient
🖊️ Author: Owiny, A.A.
📖 Journal: Russian Journal of Ecology (2016) 🌿

Ecofootprint of Charcoal Production and Its Economic Contribution Towards Rural Livelihoods in Sub-Saharan Africa
🖊️ Authors: Sumba C, Owiny A.A, Ouma K, Matakala N, Monde C, Chirwa P.W, Syampungani S
📖 Conference Paper (2020) 🔥🌍

These publications highlight Mr. Owiny’s expertise in biodiversity conservation, forest restoration, and the ecological impact of human activities 🏞️✨.

Dr Liangkun Lu | Mechanical Engineering | Best Researcher Award

Dr Liangkun Lu | Mechanical Engineering | Best Researcher Award

Dr Liangkun Lu, Zhengzhou University of Light Industry, China

Dr. Liangkun Lu, Ph.D. in Mechanical Engineering, joined Zhengzhou University of Light Industry in January 2024 as an A-Class Young Talent. His research focuses on micro/nanoprinting technology 🖨️, high-resolution functional material processing ⚙️, and flexible organic field-effect transistor (OFET) fabrication 📡. He has contributed to multiple national research projects and has published 10+ SCI-indexed papers 📖 in high-impact journals like Nature Communications and Microsystems & Nanoengineering. Additionally, he holds three software copyrights 💻, showcasing his technological expertise. His innovative contributions make him a strong contender for the Best Researcher Award 🏅. 🚀🔬

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📚 Education

  • 🎓 Ph.D. in Mechanical Engineering – Dalian University of Technology (2019-2023)
  • 🎓 M.Sc. in Mechanical & Electrical Engineering – Guilin University of Electronic Technology (2016-2019)
  • 🎓 B.Sc. in Mechanical Design & Automation – Henan Polytechnic University (2012-2016)

🛠 Research Focus

Dr. Lu’s interdisciplinary work integrates nanotechnology, microelectronics, and advanced printing techniques, focusing on:

  • High-Performance MEMS Devices ⚡ – Designing next-gen micro-electromechanical systems.
  • Nanoprinting Technology & Equipment 🖨️ – Pioneering advanced printing processes for nanomaterials.
  • Multi-Field Coupled Electrohydrodynamic Simulation 🌀 – Optimizing nano-scale fluid dynamics for precision fabrication.

💻 Software Copyrights

Dr. Lu has developed three patented software solutions for precision nanoprinting control:
1️⃣ Sheath Liquid-Focused Electrohydrodynamic Printing Control Software – 2022SR0919249.
2️⃣ Sheath Gas-Induced Electrohydrodynamic Printing Control Software – 2022SR0919212.

📖 Publications

A Real-Time Monitoring and Measurement Method for Microbubble Morphology Based on Image Processing Technology

📖 Journal: Microchemical Journal (2024)
👨‍🔬 Authors: Jin, S.; Ye, G.; Guo, Y.; Zhao, Z.; Lu, L.; Liu, Z.; Ding, Z.

A Zinc Oxide Resonant Nano-Accelerometer with Ultra-High Sensitivity

📖 Journal: Nature Communications (2024)
👨‍🔬 Authors: Xu, P.; Wang, D.; He, J.; Cui, Y.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Suo, L.; Ren, T. et al.

A High-Frequency SiC Nanobeam Resonator with Ultra-Sensitivity

📖 Journal: Materials and Design (2023)
👨‍🔬 Authors: Xu, P.; Wang, D.; Cui, Y.; Zhang, Y.; He, J.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Li, P. et al.

A Zinc Oxide Nanobeam Resonator for Ultrasensitivity Mass Detection

📖 Journal: Advanced Electronic Materials (2023)
👨‍🔬 Authors: Wang, D.; Xu, P.; Cui, Y.; Zhang, Y.; He, J.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Li, P. et al.

Computational Study of Drop-on-Demand Coaxial Electrohydrodynamic Jet and Printing Microdroplets

📖 Journal: Micromachines (2023)
👨‍🔬 Authors: Abbas, Z.; Wang, D.; Lu, L.; Li, Y.; Pu, C.; Chen, X.; Xu, P.; Liang, S.; Kong, L.; Tang, B.

Electrohydrodynamic Jet Printed Bioinspired Piezoelectric Hair-Like Sensor for High-Sensitivity Air-Flow Detection

📖 Journal: Smart Materials and Structures (2023)
👨‍🔬 Authors: Wang, D.; Li, Y.; Hu, X.; Lu, L.; Xu, P.; Chen, X.; Liu, C.; Wang, L.; Liu, B.; Suo, L. et al.

High-Performance Flexible Organic Field Effect Transistors with Print-Based Nanowires

📖 Journal: Microsystems and Nanoengineering (2023)
👨‍🔬 Authors: Lu, L.; Wang, D.; Pu, C.; Cao, Y.; Li, Y.; Xu, P.; Chen, X.; Liu, C.; Liang, S.; Suo, L. et al.

 

Mr Yonggang Zuo | Metallurgical solid waste resources | Best Researcher Award

Mr Yonggang Zuo | Metallurgical solid waste resources | Best Researcher Award

Mr. Yonggang Zuo, an Associate Professor at Kunming University of Science and Technology, earned his Ph.D. (2017) from the University of Chinese Academy of Sciences 🎓. He specializes in low-dimensional materials 🧪, unconventional metallurgy ⚙️, and resource recycling 🔄. With 30+ papers in Science, Nature Nanotechnology, and Nature Communications 📖, and 9 patents 🏅, his groundbreaking research is widely recognized. In 2022, he was honored with the “Xingdian Talent Support Plan” award 🌟. His innovative contributions make him a strong candidate for the Best Researcher Award 🏅.

Mr Yonggang Zuo, Kunming University of Science and Technology, China

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🎓 Education

Yonggang Zuo obtained his Ph.D. from the University of Chinese Academy of Sciences in 2017, specializing in materials science and optoelectronic technology. After completing his doctorate, he pursued postdoctoral research (2017–2021) at the Institute of Physics, Chinese Academy of Sciences/Peking University, deepening his expertise in low-dimensional nanomaterials and unconventional metallurgy. His strong academic foundation has contributed significantly to his innovative research and technological advancements.

👨‍🏫 Experience

Mr. Zuo has held key academic positions:

  • Associate Professor, School of Metallurgy and Energy Engineering, Kunming University of Science and Technology (2023-Present).
  • Lecturer, Kunming University of Science and Technology (2021-2023).
  • Postdoctoral Researcher, Institute of Physics, Chinese Academy of Sciences/Peking University (2017-2021).

🏅 Awards

Mr. Zuo has received multiple prestigious awards, including:
“Xingdian Talent Support Plan” – Young Talent Award 🌟 (2022).
Outstanding Individual in Graduate Academic and Technology Festival 🏆.
“Liqin Teaching Award” – Student Work Award 🎖️.
Outstanding Communist Party Member – School of Metallurgy and Energy Engineering 🎓.
Outstanding Postdoctoral Researcher – Institute of Physics, Chinese Academy of Sciences 🏅.

Research Focus 🔬

Dr. Y. Zuo’s research focuses on advanced materials science, nanotechnology, and chemical processing. His expertise spans nano-crystalline diamond films, lithium extraction, metal dissolution, and water purification technologies. He has contributed significantly to microwave-enhanced sulfate roasting for lithium recovery, ultrasonic-assisted metal dissolution, and covalent organic frameworks for heavy metal removal. His work integrates ultrasound, plasma technology, and chemical vapor deposition for improved material synthesis and environmental applications. By optimizing extraction and purification techniques, his research contributes to clean energy production, sustainable materials, and industrial process efficiency. 🌱🔬⚡🏭

📜 Patents & Innovations

Mr. Zuo holds five key national invention patents, showcasing his technological advancements:
🔹 Novel Method for Localized Growth of Transition Metal Sulfides Using Chalcogenide Compounds.
🔹 Rapid Fabrication of Transition Metal Chalcogenide Composite Optical Fiber Materials.
🔹 Preparation Method for Transition Metal Chalcogenide Composite Optical Fibers.
🔹 Microwave Drying Equipment and Application for Titanium Concentrate.
🔹 Dual-Frequency Inductively Coupled RF Plasma Jet Deposition of Diamond.

Publications 📖

📌 Nano-crystalline Diamond Films Grown by Radio-Frequency Inductively Coupled Plasma Jet Enhanced Chemical Vapor Deposition
👨‍🔬 Authors: YC Shi, JJ Li, H Liu, YG Zuo, Y Bai, ZF Sun, DL Ma, GC Chen
📖 Journal: Chinese Physics Letters 🏅
📅 Year: 2015

📌 Microwave-Enhanced Sulfate Roasting for Lithium Extraction from Lepidolite: A Comprehensive Study
👨‍🔬 Authors: M Jiang, J Liu, L Fu, Y Zuo, G Zhang, S Wang, L Zhang
📖 Journal: Journal of Cleaner Production 🌱
📅 Year: 2024

📌 Enhancement of Copper Metal Dissolution in Sulfuric Acid Solution with Oxygen and Ultrasound
👨‍🔬 Authors: G Sun, M Jiang, S Wang, L Fu, Y Zuo, G Zhang, Z Hu, L Zhang
📖 Journal: Journal of Materials Research and Technology ⚙️
📅 Year: 2023

📌 Effect of Ultrasonic-Induced Selenium Crystallization Behavior During Selenium Reduction
👨‍🔬 Authors: Z Yang, Y Zuo, L Dai, L Zhang, Y Yu, L Zhou
📖 Journal: Ultrasonics Sonochemistry 🔊
📅 Year: 2023

📌 Efficient Capture of Lead Ions from Aqueous Solution by the Functional Covalent Organic Framework Materials
👨‍🔬 Authors: D Xiang, Y Chen, M Zhu, S Wang, R Zhu, J Luo, Y Wu, L Fu, Y Zuo
📖 Journal: Journal of Molecular Structure 💧
📅 Year: 2024

Mr Junyang Sui | Thermoelectric Materials | Best Researcher Award

Mr Junyang Sui | Thermoelectric Materials | Best Researcher Award

Mr. Junyang Sui is a prominent researcher in optoelectronics, nanophotonics, and electromagnetic sensing ⚡. He holds a B.Sc. in Optoelectronic Information Science and Engineering and is currently pursuing an M.Sc. in Electromagnetic Field and Microwave Technology at Nanjing University of Posts and Telecommunications 🏛️. His research focuses on photonic spin Hall effect (PSHE) sensors, terahertz (THz) metastructures, and deep learning-driven electromagnetic simulations 🤖. With 12 SCI papers, 201 citations, and multiple awards, including the Challenge Cup First Prize and Jiangsu Province Outstanding Graduate Award, he is a rising leader in optical sensing and electromagnetic wave manipulation 🏆✨.

Mr Junyang Sui, Nanjing University of Posts and Telecommunications, China

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Education🎓

Mr. Junyang Sui earned his Bachelor of Science in Optoelectronic Information Science and Engineering from Nanjing University of Posts and Telecommunications (2020-2024) 🏛️, graduating with a GPA of 3.78 and ranking 31st out of 309 students 📈. He is currently pursuing a Master of Science in Electromagnetic Field and Microwave Technology (2024-Present) ⚡, specializing in advanced electromagnetic fields, microwave circuits, RF integrated circuit design, and antenna wave propagation 📡. His strong academic background in optoelectronics, photonics, and electromagnetic technology provides a solid foundation for his cutting-edge research in nanophotonics and electromagnetic wave manipulation 🔬✨.

Achievements🚀

Mr. Junyang Sui has demonstrated outstanding innovation and research excellence through prestigious competitions 🌍. He won Third Prize in the 2024 China International College Students Innovation Competition 🎖️, recognizing his contributions to scientific and technological advancements. In 2023, he secured First Prize in the 18th “Challenge Cup” National Undergraduate Science and Technology Competition 🏅, showcasing his expertise in optoelectronics and nanophotonics. Additionally, he achieved Excellent Completion in the National Innovation and Entrepreneurship Training Program (2023) 📜, highlighting his dedication to cutting-edge research and entrepreneurial innovation in electromagnetic and photonic technologies 🔬✨.

Honors and Awards🏆

Mr. Junyang Sui has received prestigious honors for his academic excellence and research achievements 🌍. He was recognized as an Outstanding Graduate of Jiangsu Province (Top 0.2%) in 2024 🎖️. His dedication to scientific innovation earned him the President’s Commendation Letter (2023) 📜. He was also awarded the Seventh “Student of the Year” Award (Top 0.03%) 🌟 and the Puxin Elite Scholarship of Jiangsu Province (Top 0.04%) 🏅. Additionally, his contributions to innovation and technology were honored with the “Innovation Pioneer” Award (Top 0.04%) in 2023 🔬✨.

Research Focus📡

Mr. Junyang Sui’s research focuses on nanophotonics, electromagnetic metastructures, and advanced optical sensing ⚡. He specializes in Janus metastructures for multi-physical sensing, utilizing photonic spin Hall effect (PSHE) and Weyl semimetals for nonreciprocal thermal radiation, optical biosensing, and electromagnetic wave manipulation 🌍. His work extends to metamaterial-based thermal management, creating dual-mode photonic films for energy-efficient radiative cooling and thermal insulation 🏠. Additionally, he explores electromagnetic logic metastructures for optical computing and fractally inspired metamaterials for wide-range infrared absorption 🔥. His innovations contribute to next-generation sensors, energy-efficient devices, and AI-driven photonic applications 🚀✨.

Publications📚

A Layered Janus Metastructure for Multi-Physical Quantity Detection Based on the Second Harmonic Wave
📜 Nanoscale (2025)
✍️ Yu-Xin Wei, Jun-Yang Sui, Chuan-Qi Wu, Chu-Ming Guo, Xiang Li, Hai-Feng Zhang

A Switchable Dual-Mode Integrated Photonic Multilayer Film with Highly Efficient Wide-Angle Radiative Cooling and Thermal Insulation for Year-Round Thermal Management
🔥❄️ International Journal of Heat and Mass Transfer (2025-05)
✍️ Junyang Sui, Tingshuo Yao, Jiahao Zou, Siyuan Liao, Hai-Feng Zhang

A Multiscale Nonreciprocal Thermal Radiation Multilayer Structure Based on Weyl Semimetal with Angle and Refractive Index Detection
🌡️📡 International Communications in Heat and Mass Transfer (2025-01)
✍️ Wen-Xiao Zhang, Jun-Yang Sui, Jia-Hao Zou, Hai-Feng Zhang

An Electromagnetic Logic Metastructure Realizing Half Addition and Half Subtraction Operations Based on a Virtual Polarizer
🔢📡 Physics of Fluids (2025-01-01)
✍️ Jia-Hao Zou, Jun-Yang Sui, Hai-Feng Zhang

A Multiple Cancer Cell Optical Biosensing Metastructure Realized by CPA
🧬🔬 Physical Chemistry Chemical Physics (2024)
✍️ Jia-Hao Zou, Jun-Yang Sui, You-Ran Wu, Hai-Feng Zhang

Dr Seung Bae Son | Porous material | Best Researcher Award

Dr Seung Bae Son | Porous material | Best Researcher Award

Dr. Seung Bae Son is a leading researcher in surface science, nanomaterials, and machine learning applications in materials engineering. He earned his Ph.D. in Surface Science from Jeonbuk National University, Republic of Korea (2014), specializing in scanning probe microscopy and nanostructure formation. Currently serving as a Research Professor at Jeonbuk National University, he has extensive experience in thin-film materials, semiconductor devices, and AI-driven material characterization. With over 50 peer-reviewed publications, Dr. Son’s work has significantly advanced energy materials, optoelectronic devices, and high-performance alloys, making him a strong candidate for the Best Researcher Award. 🏆📚

Dr Seung Bae Son, Jeonbuk National University, South Korea

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Education 🎓

Dr. Seung Bae Son has an extensive academic background in surface science and nanotechnology. He earned his Ph.D. in Surface Science (2014) from Jeonbuk National University, Republic of Korea, focusing on scanning probe microscopy for self-assembly and nanostructure formation of organic molecules on graphite. He also holds an M.Sc. in Physical Chemistry (2006), where he studied self-assembled monolayers using scanning tunneling microscopy, and a B.Sc. in Chemistry (2004), where he investigated single-molecule oxidation processes. His education has built a strong foundation in nanomaterials, molecular manipulation, and advanced microscopy techniques. 🏆📚

Experience 🏢

Dr. Seung Bae Son has a wealth of experience in surface science, nanomaterials, and advanced microscopy. Since 2020, he has been a Research Professor at Jeonbuk National University, where he leads projects on nanostructured materials and AI-driven material characterization. Previously, he worked as a Postdoctoral Researcher at the Korea Institute of Industrial Technology (2018–2019), focusing on advanced surface coatings and semiconductor devices. From 2015 to 2017, he conducted postdoctoral research at the Korea Basic Science Institute, specializing in scanning probe microscopy and optoelectronic materials. His expertise bridges fundamental research and industrial applications. 🚀🔍

Research Focus 🔬

Dr. Seung Bae Son specializes in nanostructured materials, alloy development, and advanced manufacturing techniques. His research focuses on metallic alloys, nanoprecipitation behavior, and material characterization for industrial applications. He explores the mechanical and thermal properties of aluminum alloys, using techniques like spark plasma sintering and compression molding to enhance material performance. His work contributes to lightweight, high-strength materials for aerospace, automotive, and structural applications. By integrating nanotechnology, metallurgy, and advanced processing methods, Dr. Son is driving innovations in next-generation materials with improved durability, strength, and sustainability. ⚙️🔍🚀

Publications📄

📌 2025

🔹 Effect of Space Holder Size on Microstructure and Mechanical Properties of Aluminum FoamMetals & Materials International
✍️ Authors: S. J. Kim, S. H. Choi, T. Y. Ahn, Y. S. Choi, S. J. Lee, S. B. Son*

📌 2024

🔹 Natural Aging-Induced Nanoprecipitation and Its Impact on Tensile Properties of Al-Si-Cu-Mg Cast AlloyMaterials Characterization
✍️ Authors: S. H. Lee, N. H. Seo, M. Kang, S. B. Son, S. J. Lee, J. G. Jung

🔹 Investigation on the Structural and Mechanical Properties of Al Foam Manufactured by Spark Plasma Sintering and Compression Molding MethodsKorean Journal of Metals & Materials
✍️ Authors: S. H. Choi, S. H. Lee, J. G. Jung, S. J. Lee, T. Y. Ahn, Y. S. Choi, S. B. Son*

📌 2023

🔹 Machine Learning Model and Prediction Mechanisms of Bainite Start Temperature of Low Alloy SteelsMaterials Transactions
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, S. B. Son, S. J. Lee

🔹 Microstructure and Mechanical Behavior of AISI 4340 Steel Fabricated via Spark Plasma Sintering and Post-Heat TreatmentMaterials Science & Engineering A
✍️ Authors: J. B. Park, J. H. Jeon, N. H. Seo, S. G. Kang, S. B. Son, S. J. Lee, J. G. Jung

📌 2022

🔹 Prediction and Mechanism Explanation of Austenite-Grain Growth During Reheating of Alloy Steel Using XAIJournal of Materials Research and Technology
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, H. S. Kim, S. J. Lee, S. B. Son*

🔹 Machine Learning Prediction for Cementite Precipitation in Austenite of Low-Alloy SteelsMaterials Transactions
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, S. J. Lee, S. B. Son*

📌 2021

🔹 Application of Machine Learning Algorithms and SHAP for Prediction and Feature Analysis of Tempered Martensite Hardness in Low-Alloy SteelsMetals
✍️ Authors: J. H. Jeon, N. H. Seo, S. B. Son, S. J. Lee, M. S. Jung

🔹 Inverse Design of Fe-Based Bulk Metallic Glasses Using Machine LearningMetals
✍️ Authors: J. H. Jeon, N. H. Seo, H. J. Kim, M. H. Lee, H. K. Lim, S. B. Son, S. J. Lee

📚 Dr. Seung Bae Son’s research bridges nanotechnology, metallurgy, and machine learning, driving advancements in smart materials, optoelectronic properties, and alloy engineering. His high-impact publications reflect his leading contributions to materials science and nanotechnology. 🚀🔬

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

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

Profile

GOOGLESCHOLAR

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 🤖🚀.

Assoc. Prof. Dr Rui Wang | Material Simulation Techniques | Material Scientist Award

Assoc. Prof. Dr Rui Wang | Material Simulation Techniques | Material Scientist Award

Assoc. Prof. Dr. Rui Wang is a renowned researcher in computational mechanics and intelligent mesh processing, currently a Lecturer at Ningbo University and a Postdoctoral Researcher at Tianjin University 🏛️. He holds a Ph.D. in Engineering from Zhejiang University and specializes in hexahedral meshing, AI-driven mesh optimization, and intelligent manufacturing systems ⚙️. His research has led to breakthroughs in simulation accuracy and structural optimization, benefiting engineering, aerospace, and industrial sectors 🚀. With high-impact publications and national research grants, Dr. Wang is a leading innovator in CAD/CAE and computational modeling 🏆✨.

Assoc. Prof. Dr Rui Wang, Ningbo University, China

Profile

SCOPUS

Education🎓

Assoc. Prof. Dr. Rui Wang earned his Ph.D. in Engineering from Zhejiang University in December 2017, under the supervision of Prof. Shuming Gao 🏛️. His doctoral research focused on automatic generation of high-quality hexahedral meshes, developing innovative methods in block decomposition and topological optimization 🖥️. His work introduced advanced algorithms for mesh generation and enhancement, improving computational accuracy in engineering simulations ⚙️. Prior to that, he completed his Bachelor’s degree in Science at Shandong Normal University in June 2011, where he built a strong foundation in mathematical modeling and computational geometry 🔬✨.

Experience 🏛️

Assoc. Prof. Dr. Rui Wang has been a Lecturer at the Faculty of Mechanical Engineering & Mechanics, Ningbo University since 2018 📚. He teaches undergraduate courses in Systems Engineering and Human Factors Engineering, as well as a graduate course in Intelligent Control of Manufacturing Systems ⚙️. Since 2022, he has also served as a Postdoctoral Researcher at Tianjin University’s School of Mechanical Engineering, focusing on advanced computational mechanics and intelligent manufacturing 🖥️. His academic career is marked by innovative research, high-impact teaching, and mentoring students in cutting-edge engineering technologies 🎓✨.

Research Focus 🔬

Assoc. Prof. Dr. Rui Wang’s research focuses on computational mechanics, intelligent mesh processing, and AI-driven simulations 🖥️. He specializes in hexahedral meshing, topological optimization, and advanced rendering techniques for engineering simulations and visual computing ⚙️. His work includes adaptive sampling for gradient-domain rendering, neural rendering in dynamic scenes, and singularity structure optimization 🔍. Additionally, he explores machine learning applications in manufacturing, logistics optimization, and microscopy image analysis 🤖. His multidisciplinary approach integrates engineering, AI, and computational geometry, making significant contributions to CAD/CAE, visual computing, and intelligent manufacturing 🚀✨.

📑 Publications

Product surface quality inspection method based on VGG16-SVM-SSA

  • Authors: W. Zhong, H. Zhan, Y. Lin, J. Yu, R. Wang
  • Journal: Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems (CIMS) 📊🛠️

Synchronized optimization of the logistics system of a tobacco high-bay warehouse under production task fluctuations

  • Authors: J. Gao, W. Xie, D. Shi, J. Wu, R. Wang
  • Journal: Engineering Research Express ⚙️📦

No enhancement of vestibular stimulation on visual working memory for actions

  • Authors: L. Hu, Z. Gao, Q. Gao, R. Wang
  • Journal: Scientific Reports 🧠🔬

Adaptive sampling and reconstruction for gradient-domain rendering

  • Authors: Y. Liang, T. Liu, Y. Huo, R. Wang, H. Bao
  • Journal: Computational Visual Media 🎮🖥️

Real-Time Polygonal Lighting of Iridescence Effect using Precomputed Monomial-Gaussians

  • Authors: Z. Liu, Y. Huo, Y. Yang, J. Chen, R. Wang
  • Journal: Computer Graphics Forum 🎨💡

LightFormer: Light-Oriented Global Neural Rendering in Dynamic Scene

  • Authors: H. Ren, Y. Huo, Y. Peng, R. Wang, H. Bao
  • Journal: ACM Transactions on Graphics 🖼️💻

Refined tri-directional path tracing with generated light portal

  • Authors: X. Wei, G. Pu, Y. Huo, H. Bao, R. Wang
  • Journal: The Visual Computer 🌐📸

Dr Dilara ickecan | Machine Learning | Best Researcher Award

Dr Dilara ickecan | Machine Learning | Best Researcher Award

Dr. Dilara İckecan is a Ph.D. candidate at Marmara University, specializing in condensed matter physics and material science. Her research focuses on graphene synthesis, vibrational properties, and machine learning applications in material science. She has published impactful articles in SCI journals, such as Computational Materials Science and Applied Radiation and Isotopes. Dr. İckecan has also contributed to international conferences and projects like TUBITAK. Recognized for her academic excellence, she received the Seçkin Öğrenci Ödülü from the American Physical Society. 🌍📚🔬💡✨

Dr Dilara ickecan, Istanbul Ticaret university, Turkey

Profile

GOOGLESCHOLAR

ORCID

SCOPUS

Education🎓

Dr. Dilara İckecan is a Ph.D. candidate at Marmara University, Turkey, pursuing her doctorate in Physics at the Institute for Graduate Studies in Pure and Applied Sciences (2018-2025). She completed her postgraduate studies in Physics at Kirikkale University (2014-2017) and earned her undergraduate degree from Karadeniz Technical University (2009-2014). Her academic journey reflects a deep commitment to advancing research in condensed matter physics and material science. Dr. İckecan’s work combines cutting-edge techniques in graphene synthesis and machine learning applications in material studies. 🎓🔬📚🌟

Experience🖥️

Dr. Dilara İckecan currently serves as a Lecturer in Computer Programming at İstanbul Ticaret Üniversitesi in Istanbul, Turkey, since September 2024. In her role, she teaches and guides students in programming languages, software development, and computational problem-solving, drawing on her extensive background in artificial intelligence, machine learning, and material science. Dr. İckecan’s research contributions in areas like graphene synthesis and vibrational properties of materials complement her academic responsibilities, fostering a bridge between theoretical physics and practical computer programming education. Her expertise equips students with essential skills for the evolving tech landscape. 🖥️📚🔍

Research Areas🔍

Dr. Dilara İckecan specializes in multiple cutting-edge research areas, including Artificial Intelligence, Computer Learning, and Pattern Recognition, with a focus on their applications in material science. Her work delves into Condensed Matter Physics, specifically exploring the structural, mechanical, and thermal properties of materials like graphene. Additionally, she investigates the electronic structure, electric, magnetic, and optical properties of materials, which have profound implications for nanotechnology and electronics. Dr. İckecan’s interdisciplinary approach integrates AI and machine learning with material science to advance the understanding of complex material behaviors. 🤖🔍📊🧪

Awards🏆

Dr. Dilara İckecan has earned prestigious accolades for her academic excellence. She received the Seçkin Öğrenci Ödülü (Outstanding Student Award) from the American Physical Society in March 2024, recognizing her exceptional contributions to the field of physics. Additionally, she was honored as Bölüm Birincisi (Department Topper) at Karadeniz Technical University in June 2014, highlighting her dedication and outstanding performance during her undergraduate studies. These awards reflect Dr. İckecan’s commitment to advancing scientific knowledge and her exceptional academic achievements. 🏆🎓🌟

Publications📚

“Eco-friendly synthesis and characterization of reduced graphene oxide”
Authors: D. İckecan, R. Zan, S. Nezir
Journal: Journal of Physics: Conference Series 902 (1), 012027
Year: 2017 🌱🔬

“Investigation of shielding properties of impregnated activated carbon for gamma-rays”
Authors: D. İckecan, M.N. Turkan, H. Gulbi̇cim
Journal: Applied Radiation and Isotopes 172, 109687
Year: 2021 ☢️🛡️

“Grafen sentezi ve karakterizasyonu”
Author: D. İckecan
Journal: Yüksek Lisans Tezi, Kırıkkale University
Year: 2017 🧪📚

“Emergent atomic environments in twisted bilayer graphene and their use in the prediction of the vibrational properties”
Authors: D. İckecan, Y.E. Okyayli, E.A. Bleda, D. Erbahar
Journal: Computational Materials Science 250, 113669
Year: 2025 🌀🔍

“Effect of Local Environment on the Vibrational Properties of Twisted Bilayer Graphene: A Machine Learning Approach”
Authors: D. İckecan, E.A. Bleda, Y.E. Okyayli, D. Erbahar
Journal: Bulletin of the American Physical Society
Year: 2024 🤖📊

“Comparing the Shielding Features of Graphene and Impregnated Activated Carbon with Selected Traditional Shielding Materials For Gamma-Rays”
Authors: D. İckecan, M.N. Turkan, D. Erbahar, H. Gulbi̇cim
Journal: Sakarya University Journal of Science 27 (3), 580 – 589
Year: 2023 🔬🛡️

“Probing the Phonon Spectrum of Twisted Bilayer Graphene with Machine Learning Methods”
Authors: D. İckecan, E.A. Bleda, D. Erbahar
Journal: Bulletin of the American Physical Society
Year: 2023 🤖💡