Sabum Jung | Smart factory | Best Researcher Award

Mr. Sabum Jung | Smart factory | Best Researcher Award

Research engineer, Lg energy solution,South Korea

Sabum Jung is a seasoned Data Scientist and Machine Learning Engineer with over 23 years of expertise in predictive modeling, deep learning, and AI-driven optimization. His career spans LG Energy Solution, SK Holdings, and LG Production Engineering Research Institute, where he pioneered AI applications in high-tech manufacturing, including semiconductor, battery, and display industries. A former Military Intelligence Analyst for the U.S. Army, he has authored research papers and books on AI, machine learning, and Industry 4.0. Fluent in English, Korean, and Japanese, he continues to drive AI innovations in industrial applications.

Profile

🎓 Education

Sabum Jung holds a B.A. (3.9/4.5) and an M.S. (4.2/4.5) in Industrial Engineering from Sung Kyun Kwan University, South Korea. His academic journey focused on advanced analytics, AI-driven optimization, and industrial process improvements. His research contributions in artificial intelligence, reliability engineering, and digital transformation have shaped his expertise in machine learning, deep learning, and predictive modeling, positioning him as a leader in AI applications for manufacturing and industrial systems.

💼 Experience

Currently a Data Scientist at LG Energy Solution, Sabum Jung leads AI-driven innovations in virtual metrology, predictive maintenance, and defect analysis. Previously at SK Holdings, he optimized renewable energy predictions, semiconductor material discovery, and AI-powered industrial operations. His 20-year tenure at LG Production Engineering Research Institute saw groundbreaking work in machine learning for smart appliances, battery systems, and industrial automation. His early career as a Military Intelligence Analyst in the U.S. Army honed his analytical prowess, setting the foundation for his AI-driven problem-solving approach.

🏆 Awards & Honors

Sabum Jung has been recognized for his contributions to AI, machine learning, and industrial automation. His accolades include leadership in AI-driven manufacturing optimization, predictive maintenance, and reinforcement learning applications. He has received industry recognition for his research and innovation in deep learning, active learning, and process optimization in high-tech sectors, further cementing his influence in AI-driven industrial advancements.

🔬 Research Focus:

Sabum Jung specializes in AI applications for high-tech manufacturing, focusing on predictive maintenance, virtual metrology, and defect detection. His research spans deep learning, reinforcement learning, and AI-driven industrial process optimization. Notable contributions include renewable energy prediction, semiconductor material discovery, and advanced statistical modeling. His expertise in machine learning has been instrumental in developing AI solutions for smart manufacturing, Industry 4.0, and digital transformation.

Publications

Recent progress of LG PDP: High efficiency & productivity technologies Citations1

Conclusion

Sabum Jung is a strong candidate for the Best Researcher Award, given his vast industry experience, research excellence, and technological contributions to AI and machine learning in manufacturing. Enhancing academic collaborations and increasing research dissemination could further elevate his impact and recognition.

Anne Maynadier | Stockage de l’hydrogène | Best Researcher Award

Assist. Prof. Dr Anne Maynadier | Stockage de l’hydrogène | Best Researcher Award

Maître de conférences, Institut FEMTO ST, France

Anne Maynadier is an Associate Professor at IUT de Besançon Vesoul, University of Franche-Comté, specializing in applied mechanics and hydrogen storage 🔋. She obtained her PhD in Engineering from LMT Cachan, focusing on thermomechanical coupling in shape memory alloys 🏗️. She has held academic positions at INSA Lyon and UFC/FEMTO-ST Institute, contributing to mechanical field measurements and solid-state hydrogen storage research. She has supervised multiple PhD theses, led key research projects, and actively participated in hydrogen energy outreach programs 🌍.

Profile

🎓 Education:

2009-2012 – PhD in Engineering, LMT Cachan, focusing on thermomechanical coupling in shape memory alloys 📊 2005-2009 – ENS Cachan, Mechanical Engineering, specializing in materials mechanics 🔧  Master’s in Mechanics of Materials (MAGIS) – Advanced training in mechanical behavior of materials 📚  2003-2005 – Preparatory Classes (PTSI-PT), Lycée Jean Dupuy ✏️  2003 – Scientific Baccalaureate, Engineering Sciences Option, Mention B 🎓

💼 Experience:

2015-Present – Associate Professor at IUT Besançon Vesoul, UFC/FEMTO-ST Institute, focusing on hydrogen storage research ⚙️ 2013-2015 – Associate Professor at INSA Lyon/LAMCOS, specializing in mechanical field measurements and fracture mechanics 🏗️ 2012-2013 – Postdoctoral Researcher at UFC/FEMTO-ST Institute, working on thermomechanical coupling in materials  2009-2012 – PhD Researcher at LMT Cachan, studying kinematic and thermal field measurement in shape memory alloys 📊

🏆 Awards & Honors:

1st Place (2008) – External Agrégation in Mechanical Engineering 🏆  Grant Recipient – Multiple research funding awards from CNRS, Bourgogne-Franche-Comté Region, and EIPHI 💰  Organizer & Committee Member – International Summer School (2022), JNC Conference (2023), Hydrogen Research Networks 🌍 STEM Outreach Advocate – Active in “Women in Science” and “La SI au féminin” initiatives 👩‍🔬

🔍 Research Focus:

🔬 Hydrogen Storage – Investigating solid-state hydrogen storage using intermetallic hydrides 🔋 Thermomechanical Field Measurement – Advanced DIC & IR techniques for material analysis 📸  Fracture Mechanics – Researching photovoltaic silicon wafer failure mechanisms 🏭 Hydride Bed Simulation – Studying self-fragmentation (decrepitation) in hydrogen reservoirs 📡 Sustainable Energy Solutions – Developing safe and efficient hydrogen storage systems for clean energy 🌱

Publications

Underlying Causes of the Improved Storage Properties of TiMn1,5 by Annealing Treatment

Multiscale Elastic Modulus Characterization of Ti0.5Fe0.45Mn0.05, an Iron–Titanium–Manganese Alloy Dedicated to Hydrogen Storage

Hydrogen Storage: Different Technologies, Challenges and Stakes. Focus on TiFe Hydrides

 

Conclusion

Anne Maynadier is a strong candidate for the Best Researcher Award, given her pioneering contributions to hydrogen storage research, extensive academic impact, and leadership in scientific outreach. While international collaborations, high-impact publications, and industry engagement could further strengthen her profile, her expertise and dedication make her a deserving nominee.

Dingke Zhang | Micro nano laser materials and devices | Best Researcher Award

Dr. Farzad Ghafoorian | Micro nano laser materials and devices | Best Researcher Award

professor, Chongqing Normal University , China

🎓 Dingke Zhang, Doctor of Science & Professor at Chongqing Normal University, specializes in high-performance organic laser devices. She earned her Ph.D. from Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, followed by six years of postdoctoral research at Northeast Normal University and RMIT University, Australia. Her expertise spans micro/nano optoelectronic materials and devices, amplified spontaneous emission, and ultrafast spectroscopic dynamics. She has published extensively in top-tier journals such as Advanced Materials, Advanced Functional Materials, and Small. Recognized for her contributions, she received Chongqing’s Third Prize for Natural Science and First Prize for Innovation in Industry-University-Research Cooperation.

Profile

scopus

Education 🎓

📍 Ph.D. in Applied Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences 🏅Postdoctoral Research in Micro/Nano Optoelectronics, Northeast Normal University, China 🏅Research in Optoelectronic Materials & Devices, RMIT University, Australia 🏅

Experience 🏆

🔹 Professor, Chongqing Normal University (Present) 📚 Postdoctoral Researcher, RMIT University, Australia (Optoelectronic Materials) 🔬 Postdoctoral Researcher, Northeast Normal University, China (Micro/Nano Devices) 🧪

Awards & Honors 🏅

🏆 Third Prize, Natural Science Award, Chongqing  First Prize, Innovation Achievement in Industry-University-Research, Chongqing 🌟

Research Focus 🔬

🔬 High-performance organic laser devices 🌈 Amplified spontaneous emission & ultrafast spectroscopic dynamics ⚛️ Micro/Nano optoelectronic materials  Perovskite materials, organic polymers & dyes 🏅

Publications

1️⃣ High-density superhard carbon stabilized by strain-induced phase transitionDiamond and Related Materials, 2025 (0 Citations)
2️⃣ Enhanced NIR amplified spontaneous emission in black-phase FAPbI3 perovskite filmsAdvanced Functional Materials, 2025 (0 Citations)
3️⃣ V doping for optimized hydrogen evolution in NiO nanosheetsKexue Tongbao, 2024 (0 Citations)
4️⃣ In situ Ni@NiO Schottky heterojunctions for electrocatalysisJournal of Materials Chemistry C, 2024 (0 Citations)
5️⃣ Phase distribution in Ruddlesden–Popper perovskite films for enhanced ASEOptics Letters, 2024 (0 Citations)
6️⃣ Flexible MAPbBr3 perovskite films with mechanical reliabilityApplied Physics Letters, 2024 (1 Citation)
7️⃣ 2D Halide Perovskites for Resistive Switching Memory & SynapsesAdvanced Science, 2024 (6 Citations)
8️⃣ Phase distribution in quasi-2D perovskite films for nanosecond-pumped ASEScience China Materials, 2024 (2 Citations)
9️⃣ Color emission manipulation in perovskites via anion exchangeAdvanced Materials, 2024 (5 Citations)
🔟 Stable MAPbI3 film construction for high-performance ASEChemical Engineering Journal, 2024 (1 Citation)

Conclusion

Dr. Dingke Zhang is a strong candidate for the Best Researcher Award, particularly in the field of micro/nano laser materials and optoelectronics. Her groundbreaking research, high-impact publications, and prestigious awards make her highly competitive. Strengthening industry collaborations, technology commercialization, and leadership in large-scale research initiatives would further enhance her standing in global research excellence.

Farzad Ghafoorian | Fluid Mechanic | Best Researcher Award

Dr. Farzad Ghafoorian | Fluid Mechanic | Best Researcher Award

Research Assistant, University of Colorado Colorado Springs, United States

A highly skilled mechanical engineer specializing in computational fluid dynamics (CFD), wind energy, and heat transfer 🌬️🔥. Holds a Master’s in Mechanical Engineering (Thermal-Fluid Science) from Iran University of Science and Technology 🎓. Passionate about renewable energy systems, numerical modeling, and fluid mechanics. Active researcher, guest editor, and journal reviewer 📖. Expertise in CFD simulations, wind turbine optimization, and thermal management 🏗️. Dedicated educator and workshop presenter for university and high school students 📚.

Profile

Education 📚

Iran University of Science and Technology – Master’s in Mechanical Engineering (Thermal-Fluid Science) (2018–2021) 🎓 | Thesis: Simulation & validation of Gorlov wind turbine 🌀 | GPA: 3.3/4 📊 Islamic Azad University South Tehran Branch – Bachelor’s in Mechanical Engineering (2013–2018) 🏗️ | GPA: 3.3/4 📈

Experience 🛠️

Independent Researcher (2021–Present) 🔬 | Published ISI research papers on CFD & wind energy 🌍 Teaching Assistant – Iran University of Science & Technology (2020–2021) 🎓 | Assisted in Fluid Mechanics I & II 💧 Workshop Presenter (2021–Present) 🎤 | Taught fluid mechanics, heat transfer, and CFD to undergraduates ⚡ High School Educator (2014–Present) 📖 | Conducted lessons in math, geometry, and physics 📏

Awards & Honors 🏆

Guest Editor – Next Energy Journal (Elsevier) (2024–Present) 📚 | Leading special issue on renewable energy modeling 🌿 Journal Reviewer (2024–Present) 📝 | Reviewer for Physics of Fluids, Energy, and Ocean Engineering journals 🏗️

Research Focus 🔍

Expert in Computational Fluid Dynamics (CFD), wind energy, and heat transfer ⚙️ | Specializes in 2D & 3D simulations of wind turbines (Darrieus, Savonius, Gorlov) 🌪️ | Works on heat transfer enhancement using porous media, phase change materials (PCM), nanofluids, and VOF simulation 🔥 | Dedicated to improving efficiency in renewable energy systems through numerical modeling 📊

Publications

An investigation into the self-starting of Darrieus-Savonius hybrid wind turbine and performance enhancement through innovative deflectors: A CFD approach

CFD investigation and optimization on the aerodynamic performance of a Savonius vertical axis wind turbine and its installation in a hybrid power supply system: a case study in …

Effective parameters optimization of a small scale Gorlov wind turbine, using CFD method

A 3D study of the darrieus wind turbine with auxiliary blades and economic analysis based on an optimal design from a parametric investigation

Numerical study on aerodynamic performance improvement and efficiency enhancement of the savonius vertical axis wind turbine with semi-directional airfoil guide vane

Conclusion

The researcher has an impressive portfolio in CFD-based wind energy research, with numerous impactful publications, editorial contributions, and technical expertise. Their work on Darrieus-Savonius hybrid wind turbines and heat transfer modeling demonstrates innovation and scientific rigor. While the research contributions are strong, securing a Ph.D., increasing international collaborations, and engaging in global conferences would further solidify their candidacy for the Best Researcher Award.

Xiaoyan Huang | The physics of radiation therapy | Best Researcher Award

Prof. Xiaoyan Huang | The physics of radiation therapy | Best Researcher Award 

Deputy Director of Department of Radiotherapy, Sun Yat-sen University Cancer Center, China

A distinguished expert in Clinical Radiotherapy Physics, specializing in dosimetry, radiotherapy planning, AI-driven adaptive therapy, and ion beam therapy. With a mission to advance standardized precision radiotherapy, they have authored nearly 100 peer-reviewed papers (30+ as first/corresponding author), significantly contributing to radiation oncology research and technology development.

Profile

orcid

Education 🎓

Holds a Ph.D. in Medical Physics, with specialized training in clinical radiotherapy physics, AI-driven adaptive radiotherapy, and ion beam therapy. Completed postdoctoral research in advanced dosimetry and radiotherapy technologies, enhancing expertise in precision cancer treatment and radiation safety.

Experience 🏥

Brings extensive experience in clinical practice, research, and education, contributing to radiotherapy planning, quality assurance/control (QA/QC), and novel radiotherapy techniques. Has led multi-disciplinary teams in developing next-generation AI-based radiotherapy solutions and standardized QA systems.

Awards & Honors 🏆

Recipient of prestigious awards in radiation oncology, dosimetry, and AI-driven radiotherapy innovations, recognizing contributions to precision medicine and cancer treatment advancements. Honored by medical physics associations and oncology societies for groundbreaking research and clinical excellence.

Research Focus 🔬

Dedicated to Clinical Radiotherapy Physics, with expertise in dosimetry, radiotherapy QA/QC, AI-powered adaptive therapy, ion beam therapy, and novel radiotherapy technologies. Aims to revolutionize precision radiotherapy and enhance cancer treatment efficacy through advanced technology integration.

Publications

MRI guided online adaptive radiotherapy and the dosimetric impact of inter- and intrafractional motion in patients with cervical cancer

Risk assessment and quality management in AIO based on CT‐linac for nasopharyngeal carcinoma: An improved FMEA and FTA approach

 

Conclusion

Xiaoyan Huang is a highly suitable candidate for the Best Researcher Award based on a prolific publication record, groundbreaking work in clinical radiotherapy physics, and advancements in AI-driven adaptive radiotherapy. Expanding global collaborations and industry impact could further strengthen an already outstanding profile. 🚀

Jiancun Zhao | Metasurface | Young Scientist Award

Dr. Jiancun Zhao | Metasurface | Young Scientist Award

Associate researcher, Northwestern Polytechnical University, China

Jianchun Zhao is an Associate Researcher and Director of the Production Department at the Intelligent Sensor Chip Technology Research Center, Ningbo Research Institute, Northwestern Polytechnical University 🎓. He obtained his Ph.D. from Northwestern Polytechnical University 🎖️. His research expertise lies in micro-nano optical imaging devices, all-solid-state flexible electrochromic devices, and MEMS sensor fabrication technologies 🔬. He has published 11 papers in top journals, including Advanced Science, Advanced Optical Materials, and Optics Letters 📚. Additionally, he has applied for 30 patents (18 authorized), including 17 invention patents and 13 utility model patents 🏅. His pioneering work contributes to next-generation optical imaging, sensing, and nanotechnology applications 🚀.

Profile

orcid

Education 🎓

Ph.D. in Engineering – Northwestern Polytechnical University (Year Not Specified) 🏅Specialized in Micro-Nano Optical Imaging, Electrochromic Devices, and MEMS Sensors 🔬Conducted advanced research in spectral filter chips and visible wide-band absorbers 📡Trained in integrated circuit design and semiconductor material processing ⚙️Developed expertise in flexible electronic materials and photonic devices 💡

Experience 👨‍🔬

Associate Researcher & Director, Intelligent Sensor Chip Technology Research Center, Ningbo Research Institute, Northwestern Polytechnical University (Present) 🏛️Leads R&D in micro-nano optical imaging, electrochromic devices, and MEMS sensors 🔬Collaborates with academic institutions and industries on semiconductor technologies 🤝Has published 11 papers in high-impact journals 📚Applied for 30 patents, with 18 already authorized 📜

Awards and Honors 🏆

Recognized expert in micro-nano optical imaging and MEMS sensors 🏅Holds 17 invention patents and 13 utility model patents 🔬Published in Advanced Science, Optics Letters, and Applied Physics Letters 📖Invited speaker at leading optical and materials science conferences 🎤Contributor to next-gen sensor chip and photonic material innovations 💡

Research Focus 🔍

Micro-Nano Optical Imaging Devices – Spectral filter chips, wide-band absorbers 🎥All-Solid-State Flexible Electrochromic Devices – Smart glass, energy-efficient displays 🔋MEMS Sensor Fabrication Technologies – Miniaturized high-precision sensors ⚙️Semiconductor Photonic Integration – Next-gen optical and electronic circuits 💡Patents & Commercialization – Bridging academia and industry for innovative applications 🚀

Publications

Flexible dynamic structural color based on an ultrathin asymmetric Fabry-Perot cavity with phase-change material for temperature perception

Lithography-free flexible perfect broadband absorber in visible light based on an all-dielectric multilayer structure

 

Conclusion:

Jianchun Zhao is a highly suitable candidate for the Research for Young Scientist Award, given his outstanding contributions to micro-nano optics, MEMS sensor fabrication, and electrochromic devices. His impressive publication record, patent portfolio, and leadership role make him a strong contender. Strengthening international collaboration, securing large-scale funding, and expanding public engagement would further solidify his profile as a leading young scientist in the field.

Julian Plewa | mechanische Metamaterialien | Research Visionary in Materials Mechanics Award

Prof. Dr. Julian Plewa | mechanische Metamaterialien | Research Visionary in Materials Mechanics Award

professor, University of Silesia, Katowice, China

Prof. Dr. Julian Plewa is a distinguished materials scientist with expertise in metallurgy, nanotechnology, and optical materials. With a career spanning over five decades, he has held academic and research positions at leading institutions in Poland and Germany. His contributions to high-temperature superconductors, thermoelectrics, and mechanical metamaterials have advanced the field of materials science. Currently a professor at the University of Silesia, he continues to pioneer innovations in functional materials and optical materials.

Profile

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Education 🎓

Master of Science in Metallurgy – AGH University of Science and Technology, Cracow, 1973 Doctor of Philosophy in Technical Sciences – AGH University of Science and Technology, 1979 Habilitated Doctor in Materials Science – Silesia University of Technology, Gliwice, 2005

Experience 🏫

Lecturer – Silesia University of Technology (1981–1988) Teaching Assistant – University of Applied Sciences Muenster (2010–2017)  Visiting Professor – Cracow University of Technology (1995–2017) Professor – University of Silesia (2019–present)

Awards & Honors 🏆

Recognized for contributions to non-ferrous metallurgy Honored for advancements in high-temperature superconductors Awarded for innovative research in thermoelectrics mAcknowledged for breakthroughs in optical materials and mechanical metamaterials

Research Focus 🔬

Non-ferrous metallurgy – Lead refining, zinc spraying Sustainable materials – Battery recycling, aluminum foil reuse Advanced materials – High-temperature superconductors, thermoelectrics Optical materials – Phosphors, specialty glass Mechanical metamaterials – Structural innovations and applications

Publications 📚

📄 Auxetic Structures & Mechanical Metamaterials
🔹 J. Plewa, M. Plonska, P. Lis, Investigation of Modified Auxetic Structures from Rigid Rotating Squares, Materials 15(2022) 2848

📄 Lanthanide & Glass Crystallization
🔹 J. Plewa et al., Crystallization of Lanthanide—Ho³⁺ and Tm³⁺ Ions Doped Tellurite Glasses, Materials 15(2022) 2662
🔹 M. Płońska, J. Plewa, Crystallization of GeO₂-Al₂O₃-Bi₂O₃ Glasses, Crystals 10(2020) 522

📄 Optical & Luminescent Materials
🔹 J. Plewa et al., Partial Crystallization of Er³⁺/Yb³⁺ Co-Doped Oxyfluoride Glass, Materials Engineering 39(2018) 204
🔹 T. Dierkes, J. Plewa et al., From Metals to Nitrides – Rare Earth Binary Systems, J. Alloys & Compounds 693(2017) 291
🔹 A. Katelnikovas, J. Plewa et al., Yellow Emitting Garnet Phosphors for pcLEDs, J. Luminescence 136(2013) 17
🔹 J. Plewa, T. Jüstel, Pr³⁺ Doped UV Emitting Luminescent Ceramics, Materials Science Forum 636-637(2010) 344

📄 Superconductors & Thermoelectric Materials
🔹 J. Plewa et al., Preparation & Characterization of Calcium Cobaltite for Thermoelectric Applications, Eur. Ceramic Society 25(2005) 1997
🔹 J. Plewa et al., Superconducting Materials for Electronic Applications, Physica C 372-376(2002) 1046
🔹 K. Itoh, J. Plewa et al., RF Magnetic Shielding Effect of a Sealed Bottom Cylinder, Applied Superconductivity Conf. Proc. (2000)

Conclusion 🎯

This researcher is highly suitable for the Research Visionary in Materials Mechanics Award, given their long-standing impact on materials science, mechanical metamaterials, and sustainable material innovation. By expanding industry collaboration, integrating computational mechanics, and increasing patent applications, their contributions could reach even greater heights in the field of materials mechanics. 🚀

 

Bing Yu | Thermoplastic Elastomers | Best Researcher Award

Assoc. Prof. Dr. Bing Yu | Thermoplastic Elastomers | Best Researcher Award

Associate Professor, Beijing University of Chemical Technology, China

Bing Yu is an associate professor at Beijing University of Chemical Technology, specializing in the design and development of functional elastomer materials. He earned his Ph.D. in Macromolecular Chemistry and Physics from Shanghai Jiao Tong University in 2015, under the guidance of Prof. Xuesong Jiang and Prof. Jie Yin. Following his Ph.D., he worked as a postdoctoral fellow in Prof. Yue Zhao’s group at the University of Sherbrooke. With over 50 publications in prestigious journals, his research has contributed significantly to the fields of elastomer materials and nanocomposites. His innovative work explores thermoplastic elastomers, 3D printing technologies, and the development of smart wearable devices.

Profile

Scopus

Education

Bing Yu completed his Ph.D. in Macromolecular Chemistry and Physics at Shanghai Jiao Tong University in 2015, under the mentorship of Professors Xuesong Jiang and Jie Yin. His doctoral research focused on the interaction of amphiphilic polymers with guest molecules, particularly selective adsorption. He later worked as a postdoctoral researcher in Prof. Yue Zhao’s lab at the University of Sherbrooke, where his work contributed to developing new materials with advanced properties. Bing Yu’s research blends material science with applied engineering, and his academic journey has equipped him with deep knowledge in polymer chemistry, elastomers, and nanocomposite systems.

Research Focus

Dr. Bing Yu’s research centers on the design, preparation, and application of functional elastomer materials with advanced properties. His primary interests include the development of thermoplastic elastomers based on reversible crosslinking for recycling and reprocessing, functional modifications for silicone elastomers in wearable devices, and the creation of elastomer composites with unique photo-responsive and shape-memory behaviors. Additionally, his work involves the preparation of block and graft polymers and nanocomposites, enhancing the compatibility of silicone elastomers for various industrial applications. His contributions to 3D printing technologies aim to revolutionize manufacturing for flexible, durable materials.

Publications

  • Polyurethane-polysiloxane copolymer for TPU/MVQ blends 🧪🧴 (2023)
  • Ultralight, flexible metal foil/polymer sandwich composites for EMI shielding 🔧🛡️ (2023)
  • Photochromic polyurethane coatings with self-healing behavior 🎨🔬 (2023)
  • Silicone elastomer for digital light processing 3D printing 🖨️✨ (2023)
  • Janus particle compatibilizer for immiscible polymer blends 🧬🔄 (2023)
  • Shape memory elastomer with amphiphilic hybrid Janus particles 🧠🔧 (2022)
  • Self-healable silicone elastomer with light-triggered actuator 🌞🛠️ (2022)
  • Self-healable silicone elastomer with coordination and ionic bonds 💧⚡ (2021)
  • UV reconfigurable shape memory polyurethane with high recovery ratio 🌞🌀 (2021)
  • Hybrid Janus particle for polyurethane/silicone elastomer blends 🔄🌍 (2021)

Miguel Angel Cisneros Mata | Marine Socio Ecological Systems | Lifetime achievement Award

Dr. Miguel Angel Cisneros Mata | Marine Socio Ecological Systems | Lifetime achievement Award

Senior Researcher, IMIPAS, Mexico

Miguel Ángel Cisneros Mata is a prominent researcher at the Mexican Institute for Sustainable Fisheries and Aquaculture (IMIPAS), specializing in marine resource management and conservation. With a distinguished career in marine ecology, he has worked on the sustainable use of fisheries and aquaculture resources, particularly in the Gulf of California. He has been recognized nationally for his contributions to marine science and policy, holding several leadership positions throughout his career. His expertise spans ecological modeling, population dynamics, and the impacts of climate change on marine ecosystems. He is known for his work on species like totoaba and sardine, with a focus on the integration of ecosystem-based management strategies.

Profile

Google Scholar

Education

Miguel Ángel Cisneros Mata earned a Bachelor’s in Fisheries Biology from the University of Sinaloa, a Master’s in Science from CICESE, and a Ph.D. in Ecology from the University of California, Davis. His doctoral research focused on the population viability analysis of the Totoaba macdonaldi. Additionally, he completed a diploma in Public Policy Evaluation from the Ministry of Finance in 2022. His academic background underpins his extensive career in scientific research and conservation efforts.

Experience

Miguel has over 35 years of experience in marine research and fisheries management. He is currently a Senior Researcher at IMIPAS, overseeing key projects related to marine species like the shrimp, jellyfish, and totoaba. His leadership roles include directing fisheries research at the Mexican Ministry of Fisheries, working with international organizations such as WWF Mexico, and coordinating multiple research programs. Throughout his career, he has actively participated in the development of fisheries management strategies and policies, with a focus on conservation, sustainable practices, and the effects of climate change.

Research Focus

Miguel’s research focuses on the development of mathematical models for aquatic populations with age/size structure, applied to the management and conservation of marine resources. He studies ecosystem-based management, co-management, and governance of fisheries. His interests extend to the effects of climate change on marine species, particularly mariculture, and the development of financial mechanisms for resource management. His work also involves the creation of indicators to monitor ecological vulnerability, assessing the impact of human activities on marine ecosystems.

Publications

  • The future of food from the sea 🌊
  • Life History and Conservation of Totoaba macdonaldi 🐟
  • Surplus production, variability, and climate change in the great sardine and anchovy fisheries 🐠
  • Seabird ecology, El Niño anomalies, and prediction of sardine fisheries in the Gulf of California 🦅
  • Extent and implications of IUU catch in Mexico’s marine fisheries 🚫
  • Review of stock assessment and fishery biology of Dosidicus gigas in the Gulf of California, Mexico 🦑
  • The Rise and Fall of the Pacific Sardine 🐟
  • Biomass and distribution of the jumbo squid (Dosidicus gigas) in the Gulf of California, Mexico 🦑
  • Performance of a bycatch reduction device in the shrimp fishery of the Gulf of California, Mexico 🦐
  • Distribution and abundance of the Pacific sardine (Sardinops sagax) in the Gulf of California 🐟
  • Management strategy for the giant squid (Dosidicus gigas) fishery in the Gulf of California, Mexico 🦑

Tso-Fu Mark Chang | Multiferroic materials | Best Researcher Award

Assoc. Prof. Dr Tso-Fu Mark Chang | Multiferroic materials | Best Researcher Award

Assocaite Professor, Institute of Science Tokyo, Japan

A distinguished materials scientist, currently an Associate Professor at the Institute of Integrated Research, Institute of Science Tokyo,. Holds a Doctor of Engineering from Tokyo Institute of Technology (2012). His research focuses on supercritical fluid technology, thin films, and electrochemical materials, earning multiple prestigious awards.

Profile

scholar

Education 🎓📖

Doctor of Engineering (Materials Science & Engineering), Tokyo Institute of Technology, Japan (2012) 🏅 | Master of Engineering, Tokyo Institute of Technology, Japan (2011) 🎓 | Master of Chemical Engineering, National Tsing-Hua University, Taiwan (2007) 🏆 | Bachelor of Applied Science & Engineering, University of Toronto, Canada (2004) 🌍

Experience 🔬💼

Associate Professor, Institute of Integrated Research, Institute of Science Tokyo (2024present) 🏛️ | Associate Professor, Institute of Innovative Research, Tokyo Tech (20212024) 📚 | Assistant Professor, Tokyo Tech (20122021) 🏅 | QA Engineer, DuPont, Taiwan (20082009) 🏭 | Lab Assistant, ITRI, Taiwan (2005) 🔍

Awards & Honors 🏆🎖️

Best Oral Presentation, Supergreen (2022) 🥇 | Konica Minolta Imaging Science Award (2022) 🏅 | TACT Gold Award (2021) 🥇 | Multiple Best Paper & Poster Awards at TACT, MDPI, and MSAM 📜 | Young Researcher Award, Japan Institute of Metals (2014) 🏆 | Over 25 prestigious awards in materials science and engineering 🌟

Research Focus 🧪

Expert in supercritical fluid technology, thin films, electrochemical materials, and MEMS 🏭 | Develops advanced materials for sustainability and energy applications 🌱🔋 | Innovates in nano-fabrication, catalysis, and semiconductor processes 🧑‍🏭 | Active in international collaborations and academic societies 🌍📚 | Committee Member of Integrated MEMS Technology Research Group in JSAP (2017~present) 🔬

Publications 

Mechanistic insights into photodegradation of organic dyes using heterostructure photocatalysts

Preparation of monolithic silica aerogel of low thermal conductivity by ambient pressure drying

Bright nickel film deposited by supercritical carbon dioxide emulsion using additive-free Watts bath

 

Conclusion:

The candidate’s exceptional research achievements, global recognition, and leadership in materials science make them a strong contender for the Best Researcher Award. Addressing industry collaboration and commercialization aspects could further enhance their candidacy.