Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Published on by Mechanics Awards

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

orcid

🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

YASHWANTH H L | Composite samples | Best Researcher Award

Published on by Mechanics Awards

Mr. YASHWANTH H L | Composite samples | Best Researcher Award

Researcher, Freelance, India

Yashwanth H L is a fresh graduate in Aeronautical Engineering with a strong passion for aircraft design and innovation. He possesses a solid understanding of mechanical principles, aerodynamics, and aircraft structures. Yashwanth is proficient in industry-standard software for design and analysis, including Ansys, CATIA, and Matlab. He has worked on various projects, such as characterizing reduced graphene oxide-filled glass fabric thermosets and analyzing the acoustic and vibrational properties of Calamus Rotang natural fiber composites. With a keen interest in research and development, Yashwanth has published papers in reputable journals and presented at international conferences. He is eager to contribute to the industry and continue learning and growing in his career. 🚀

Profile

scholar

🎓 Education

Yashwanth H L holds a Bachelor’s degree in Aeronautical Engineering from Srinivas Institute of Technology, Valachil, Mangalore, with a CGPA of 7.3. He completed his pre-university education at St Mary’s P U College, H D Kote, with a percentage of 83.83%. Yashwanth’s academic background has provided a strong foundation for his research and industry work. Throughout his academic journey, he has demonstrated a commitment to excellence and innovation in the field of aeronautical engineering. 📚

👨‍🔬 Experience

Yashwanth H L has gained valuable experience through internships and projects. He worked as a Design and Analysis Intern at Brahmastra Aerospace, where he applied his skills in Ansys and other software. Yashwanth also completed internships in Matlab and Simulink simulations at Pegasus Aerospace and rocket design and analysis at Feynman Aerospace. These experiences have enabled him to develop practical skills and apply theoretical knowledge to real-world problems. 🚀

🔍 Research Interest

Yashwanth H L’s research focuses on materials science, structural analysis, and aerodynamics. He has worked on projects involving reduced graphene oxide-filled glass fabric thermosets and Calamus Rotang natural fiber composites. Yashwanth’s research aims to develop innovative materials and solutions for aerospace applications. His work has potential implications for improving aircraft performance, safety, and efficiency. 🔍

🏆 Awards

Yashwanth H L has received recognition for his research and academic achievements. He has published papers in reputable journals, including Nature’s Scientific Reports and Results in Engineering, Elsevier. Yashwanth has also presented at international conferences, such as the International Conference on Nanotechnology and the SME-2023 conference. These achievements demonstrate his potential as a researcher and innovator in the field of aeronautical engineering. 🎉

📚 Publications

1. Mechanical characterization & regression analysis of Calamus rotang based hybrid natural fibre composite with findings reported on retrieval bending strength 📊
2. Characterization and Mechanical Studies of Reduced Graphene Oxide Filled Glass Fabric Thermosets 🔬
3. Evaluation of Mechanical, Acoustic and Vibration characteristics of Calamus Rotang based Hybrid natural fiber composite

Conclusion

Yashwanth’s research experience, publication record, technical skills, and collaboration abilities make him a strong candidate for the Best Researcher Award. With further development and refinement, he has the potential to make significant contributions to the field of aeronautical engineering ¹

SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Published on by Mechanics Awards

Dr. SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Postdoctoral Researcher, Sungkyunkwan University, South Korea

Dr. Samanth Kokkiligadda is a research professor in Chemical Engineering at Sungkyunkwan University, South Korea, specializing in sustainable energy solutions. With a Ph.D. in Physics, his expertise spans nanomaterials, energy storage, and biomass conversion. His work integrates biopolymers and flexible films to advance eco-friendly supercapacitors and photocurrent applications. Dr. Kokkiligadda has received prestigious awards, including the SKKU Innovation Research Fellowship and a gold medal in Chemistry. Proficient in nanomaterials functionalization, quantum dots, and electrochemical techniques, he contributes significantly to material synthesis and energy conversion research.

Profile

orcid

🎓 Education

Ph.D. in Physics (2019–2023), Sungkyunkwan University, South Korea 🏅 Dissertation: “Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors.” Awarded the Best SKKU Innovative Research Award. M.Sc. in Physics (2016–2018), P.B. Siddhartha College of Arts & Sciences, India 🎓 Specialization in Condensed Matter Physics with an 80% aggregate score. B.Sc. in M.P.C. (2013–2016), Krishna University, India 🏆 Graduated with 91.3%, earning a gold medal in Chemistry.

💼 Experience

BK21+ Postdoctoral Researcher, Sungkyunkwan University, South Korea (Present) 🔬 Researching DNA-based nanostructures for photocurrent and supercapacitor applications. Developing high-performance biopolymer-based energy storage devices. Graduate Researcher, Sungkyunkwan University, South Korea (2019–2023) 🧪 Conducted extensive studies on functional nanomaterials, quantum dots, and MXenes. Specialized in electrode synthesis for energy storage applications.

🏆 Awards & Honors 

SKKU Innovation Research Fellowship (BK21), 2022 🌟 All India 14th Rank, UGC Merit Scholarship, 2016-17 🏅Pratibha Award & Gold Medal in Chemistry, Krishna University, 2016 🏆 KU-SET 17th Rank, Andhra Pradesh University Entrance Test 🎖 2nd Prize in Photography, Cognition Nalanda University, 2018 📸 1st Prize in Quiz, Andhra Pradesh Librarian Association, Avanigadda 🏅

🔬 Research Focus 

Dr. Kokkiligadda’s research focuses on nanomaterials for energy storage and conversion. His work integrates DNA-based nanostructures, biopolymer synthesis, and flexible energy storage films. He explores quantum dots, MXenes, and hybrid biomaterials to develop high-performance, eco-friendly supercapacitors and photocurrent devices. His expertise spans scanning electron microscopy, spectroscopy techniques, thermal vapor deposition, and electrode fabrication for batteries and PEC applications.

Publications

“Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors” 🔋

“Synthesis of Biomass-based Hybrid Nanomaterials for Sustainable Energy Conversion” 🌱

“Functionalization of Quantum Dots for High-Performance Energy Devices” ⚡

“MXenes in Flexible Supercapacitors: A Novel Approach” 🏭

“Electrode Fabrication Techniques for Advanced Energy Storage” ⚙️

“Innovative DNA Nanostructures for Photovoltaic Applications”

Conclusion:

Samanth Kokkiligadda is a highly deserving candidate for the Best Researcher Award due to his exceptional contributions to nanomaterials, energy storage, and sustainable innovations. With his expertise and growing recognition, he has the potential to become a key figure in the future of green energy research. Strengthening collaborations and increasing high-impact publications will further solidify his standing as a top-tier researcher.

Dilek Sönmezer Açıkgöz | Tissue engineering | Best Researcher Award

Published on by Mechanics Awards

Dr. Dilek Sönmezer Açıkgöz | Tissue engineering | Best Researcher Award

Phd at Çukurova University, Turkey

Dr. Dilek Sönmezer Açıkgöz is a Lecturer at Çukurova University’s Department of Biomedical Engineering, specializing in biomaterials, tissue engineering, and regenerative medicine. She holds a PhD from Erciyes University and has contributed to cutting-edge research on pericardial fluid applications in tissue engineering. Dr. Sönmezer has published extensively in SCI-indexed journals and presents regularly at international conferences.

Publication Profile

orcid

🎓 Education

PhD: Biomedical Engineering, Erciyes University (2012-2022)MSc: Biomedical Engineering, Erciyes University (2008-2011)BSc: Biology, Erciyes University (2004-2008)Internship: Eindhoven University of Technology (2010-2011)

💼 Experience

Lecturer: Çukurova University (2014-present)Research: Tissue engineering, pericardial fluid characterization, biomaterial developmentPatent Holder: Ultrasonic system for coronary bypass surgery

🏆 Awards & Honors

Patent: Ultrasonic vascular measurement system (2015)Key Publications: Bio-Medical Materials and Engineering, Biotechnology Applied BiochemistryRecognitions: Frequent presenter at international biomedical conferences

🔬 Research Focus

Biomedical Engineering: Biomaterials, tissue engineering, pericardial fluid studiesBioprinting: Developing biocompatible bioinks for 3D printingRegenerative Medicine: Exploring extracellular matrix applications for tissue regeneration

Publications 📖

Applications of a Biocompatible Alginate/Pericardial Fluid-Based Hydrogel for the Production of a Bioink in Tissue Engineering
Biotechnology and Applied Biochemistry | 2024-12-02
DOI: 10.1002/bab.2697
Contributors: Dilek Sönmezer Açıkgöz, Fatma Latifoğlu, Güler Toprak, Münevver Baran

Production of Hydrogel with Alginate and Pericardial Fluid for Use in Tissue Engineering Applications
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi | 2023-12-28
DOI: 10.21605/cukurovaumfd.1410697
Contributors: Dilek Sönmezer, Fatma Latifoğlu

A Native Extracellular Matrix Material for Tissue Engineering Applications: Characterization of Pericardial Fluid
Journal of Biomedical Materials Research Part B: Applied Biomaterials | 2023-09
DOI: 10.1002/jbm.b.35260
Contributors: Dilek Sönmezer, Fatma Latifoğlu, Güler Toprak, Münevver Baran

 

Conclusion

Dr. Dilek Sönmezer Açıkgöz stands out as a highly qualified candidate for the Best Researcher Award, with substantial contributions to biomedical engineering, tissue engineering, and biomaterials. Her dedication to research, publications in top journals, and development of patented technology make her a strong contender. Strengthening international partnerships and focusing on high-impact translational research can further enhance her candidacy for future recognitions.

Dr. Liang Yang | Bone biomaterials | Best Researcher Award

Published on by Mechanics Awards

Dr. Liang Yang | Bone biomaterials | Best Researcher Award

Dr at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, China

Liang Yang, MD, is a 33-year-old orthopedic surgeon at Shanghai Sixth People’s Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, China. Specializing in biomimetic materials for orthopedic reconstruction, he focuses on repairing bone defects under pathological conditions like osteoporosis. His innovative work on hydroxyapatite (HA) modification and chiral-engineered biomaterials has led to significant advancements in bone healing and regeneration.

Publication Profile

orcid

🎓 Education

Liang Yang earned his MD in Orthopedics from Shanghai Jiao Tong University School of Medicine. His academic pursuits have centered on advancing orthopedic materials, particularly through modifying HA to enhance bioactivity. Yang’s education combined intensive clinical training with cutting-edge research on bioactive ion doping (Sr2+/Fe3+) in HA for bone regeneration, culminating in impactful publications and novel biomaterial development. His studies positioned him at the forefront of orthopedic biomimetics.

💼 Experienc

Dr. Yang has dedicated his career to orthopedic surgery and biomaterial research at Shanghai Sixth People’s Hospital. His expertise spans developing bioactive hydroxyapatite materials, pioneering chiral-engineered biomaterials, and addressing osteoporosis-induced bone defects. Yang has led multiple research projects, resulting in publications in high-impact journals. His work reflects a seamless blend of surgical practice and translational research, bridging the gap between clinical needs and innovative material solutions.

🏆 Awards and Honors

Dr. Yang’s contributions to orthopedic biomaterials have earned him recognition in scientific and medical communities. His publications in journals like Advanced Science and Chem. Eng. J. have been widely cited. He received institutional awards for innovation in biomimetic material development and recognition from Shanghai Jiao Tong University for advancing orthopedic reconstruction techniques. His groundbreaking work on chiral hydroxyapatite further positioned him as a leader in biomaterial innovation.

🔬 Research Focus

Liang Yang’s research focuses on biomimetic materials for orthopedic reconstruction, particularly hydroxyapatite (HA) modification to enhance bioactivity and bone regeneration. His work explores doping HA with Sr2+/Fe3+ ions to modulate immunoregulation, angiogenesis, and osteogenesis. Recently, Yang synthesized chiral hydroxyapatite (CHA) with enantiomer-dependent osseointegration properties, unveiling L-CHA’s superior potential for osteoporosis treatment. His research paves the way for next-gen chiral-engineered biomaterials in orthopedics.

Publications 📖

Chirality‐Induced Hydroxyapatite for Osteoporotic Osseointegration – Advanced Science, 2024. DOI: 10.1002/advs.202411602.

Focus: Enantioselective bone-implant interactions to enhance osseointegration in osteoporosis.

Graphene Oxide Quantum Dot Scaffold – Advanced Functional Materials, 2023. DOI: 10.1002/ADFM.202211709.

Focus: Immuno-inductive angiogenesis and nerve regeneration via biocompatible nanoscaffolds.

Cryogenically 3D Printed Biomimetic Scaffolds – Chemical Engineering Journal, 2022. DOI: 10.1016/J.CEJ.2021.133459.

Focus: Bone tissue engineering using Sr2+/Fe3+ doped hydroxyapatite scaffolds.

Biomimetic Porous Scaffolds – Biomedical Materials, 2022. DOI: 10.1088/1748-605X/ac4b45.

Focus: Accelerated angiogenesis/osteogenesis with doped hydroxyapatite.

3D Printed Porous Scaffolds for Bone Tissue – Biofabrication, 2021. DOI: 10.1088/1758-5090/ABCF8D.

Focus: Bioactive scaffolds enhancing bone regeneration.

Anterior Acetabular Fracture Fixation – BMC Musculoskeletal Disorders, 2021. DOI: 10.1186/S12891-021-04034-W.

Focus: Surgical fixation methods for acetabular fractures.

Cartilage Changes with Glucocorticoids – Cartilage, 2021. DOI: 10.1177/1947603520978574.

Focus: Epiphyseal cartilage effects in glucocorticoid-treated mice.

🔹 Conclusion

Dr. Liang Yang’s pioneering work in chiral hydroxyapatite and bioactive bone materials makes him a strong contender for the Best Researcher Award. His contributions to orthopedic biomaterials, innovative solutions for bone defects, and significant publication record underscore his potential to drive transformative advancements in orthopedic surgery and bone regeneration.

Zhansheng Wu | Enzyme immobilization | Best Researcher Award

Published on by Mechanics Awards

Prof. Zhansheng Wu | Enzyme immobilization | Best Researcher Award

Professor at  Xi’an Polytechnic University, China

🌟 Dr. Zhansheng Wu is a Vice President of the School of Environmental and Chemical Engineering at Xi’an Polytechnic University. 📚 A third-level professor, doctoral supervisor, and renowned scientist, he has led prestigious projects under China’s National Natural Science Foundation and the National Key R&D Program. 🌏 Recognized globally, he is among the top 2% of scientists worldwide and serves as an editorial board member of Biochar and Carbon Research. His contributions center around clean ecological dyeing, biological and environmental chemical industries, and material sciences.

Professional Profiles:

orcid

Education🎓 

2017.4–2017.5: University of California, Los Angeles – Study. 2015.12–2016.5: University of Turin – Visiting Scholar. 2008.8–2011.6: Beijing Institute of Technology – Doctorate in Biochemistry  2003.8–2006.6: Shihezi University – Master’s in Food Science & Engineering  1999.8–2003.6: Shihezi University – Bachelor’s in Food Science & Engineering.

Experience🛠️ 

Vice President and Professor, Xi’an Polytechnic University.  Chief Scientist of Shaanxi Province’s “Qin Chuangyuan” team  Project Leader for National Key Research & Development Plan (2021–2024). Editorial Board Member for Biochar and Carbon Research. Visiting Scholar, University of Turin (2015–2016).

Awards and Honors🏅

Approved by National Natural Science Foundation of China – Young Talents Fund.  Listed in the Top 100,000 Scientists and Top 2% globally.  Leader of Shaanxi’s “Qin Chuangyuan” Scientist + Engineer Team. Published in top journals like Chemical Engineering Journal (IF > 16.7).

Research Focus🔍

Clean ecological dyeing and finishing technologies.  Development of biochar-based bactericide systems for soil improvement. Photocatalysis for environmental remediation and water treatment. Sustainable agricultural practices with biochar innovations. Exploring chemical-material industry advancements.

✍️Publications Top Note :

  • Biochar and Environmental Applications:
    • Prediction of biochar yield and specific surface area using advanced algorithms.
    • Multi-functional biochar composites for pollution control and fertilizer applications.
  • Metal-Organic Frameworks (MOFs):
    • Amino-functionalized MOFs for enzyme stability and organic pollutant degradation.
    • Hollow MOFs designed for enzyme immobilization and rare ginsenoside synthesis.
  • Photocatalysis and Functional Materials:
    • Development of heterojunction photocatalysts for efficient degradation of pollutants.
    • N-doped Ti3C2Tx-MXene-modified photocatalysts for enhanced photocatalytic ammonia synthesis.
  • Biocontrol and Environmental Microbiology:
    • Identification and genetic characterization of biocontrol strains with siderophilic properties.
    • Bioreduction of hexavalent chromium using Bacillus subtilis enhanced with humic acid.
  • Innovative Enzyme Immobilization:
    • Enhancements in enzyme loading and activity for industrial pollutant degradation.
  • Nanomaterials and Wastewater Treatment:
    • Strategies leveraging BaTiO3 piezocatalysis for vibration energy harvesting and water purification.
    • Functionalized ZnO/ZnSe composites for organic dye wastewater treatment.
  • Agricultural and Environmental Stress:
    • Applications of microcapsules for Capsicum growth under salt stress.

Conclusion

Zhansheng Wu stands as a stellar candidate for the Best Researcher Award due to his groundbreaking work in environmental chemical engineering and materials science. His extensive contributions to sustainable technologies, particularly in photocatalysis and biochar systems, have significantly advanced global environmental goals. While there is room to enhance the societal impact and commercialization aspects of his research, his academic excellence, leadership in high-value projects, and international recognition firmly establish him as a deserving contender for this prestigious award.

Xiaolin Yang | CImage analysis | Best Researcher Award

Published on by Mechanics Awards

Dr. Xiaolin Yang | Image analysis | Best Researcher Award

Dr at China university of mining and technology, China

Xiaolin Yang is a skilled Business Analyst and Postdoctoral Researcher at Henan Investment Group. With a solid background in mineral process engineering, his expertise spans industry research, project management, and production optimization. Xiaolin holds a Bachelor’s and a Ph.D. in Mineral Process Engineering from the China University of Mining and Technology, specializing in mineral processing, machine learning, and image analysis. His dedication to academic excellence and practical application makes him a valuable asset in the mineral industry.

Publication Profile

scopus

Education🎓 

.Bachelor of Mineral Process Engineering | China University of Mining and Technology, 2015–2019 | Focus: Mineral separation methods and equipment. Doctor of Mineral Process Engineering | China University of Mining and Technology, 2019–2024 | Research areas: Mineral processing, machine learning, image analysis. Xiaolin’s academic journey emphasized innovation in mineral separation, blending engineering with data science to improve mineral processing efficiency and accuracy.

Experience💼 

Postdoctoral Researcher | Henan Investment Group, 2024–Present | Xiaolin’s role involves comprehensive industry research, preparing assessment reports, and offering investment insights and recommendations. His project management tasks focus on feasibility assessments and evaluating the effectiveness of production processes, aiming to optimize industrial production and implement innovative solutions in mineral processing.

Awards and Honors🏆 

Published Author | Xiaolin has authored notable academic articles, such as in Journal of Materials Research and Technology (2021), Energy (2022), and Expert Systems with Applications (2024). His work, recognized for its significance in mineral processing and machine learning, highlights his expertise in utilizing advanced algorithms for practical industry challenges.

Research Focus🔍

Research Interests | Xiaolin’s research delves into mineral processing, machine learning applications, and image analysis. His studies, including deep learning for ash determination in coal flotation, explore novel algorithms to enhance mineral processing accuracy, bridging engineering and artificial intelligence for industrial optimization.

Publication  Top Notes

Multi-scale neural network for accurate determination of ash content in coal flotation concentrate

Authors: Yang, X., Zhang, K., Thé, J., Tan, Z., Yu, H.

Journal: Expert Systems with Applications, 2025, 262, 125614

Description: This paper presents a multi-scale neural network model that accurately determines ash content in coal flotation concentrate using froth images, leveraging deep learning to enhance mineral processing efficiency.

STATNet: One-stage coal-gangue detector for real industrial applications

Authors: Zhang, K., Wang, T., Yang, X., Tan, Z., Yu, H.

Journal: Energy and AI, 2024, 17, 100388

Description: The STATNet model is introduced as a coal-gangue detection system using a one-stage deep learning algorithm, tailored for industrial application with a focus on real-time processing.

COFNet: Predicting surface area of covalent-organic frameworks

Authors: Wang, T., Yang, X., Zhang, K., Tan, Z., Yu, H.

Journal: Chemical Physics Letters, 2024, 847, 141383

Description: COFNet utilizes deep learning to predict the specific surface area of covalent-organic frameworks, combining structural image analysis with statistical features for accurate predictions.

Enhancing coal-gangue detection with GAN-based data augmentation

Authors: Zhang, K., Yang, X., Xu, L., Tan, Z., Yu, H.

Journal: Energy, 2024, 287, 129654

Description: This study employs GAN-based data augmentation and a dual attention mechanism to improve coal-gangue object detection, aiming to refine accuracy in complex industrial environments.

Multi-step carbon price forecasting using hybrid deep learning models

Authors: Zhang, K., Yang, X., Wang, T., Tan, Z., Yu, H.

Journal: Journal of Cleaner Production, 2023, 405, 136959

Description: A hybrid deep learning model for multi-step forecasting of carbon prices is proposed, integrating multivariate decomposition to enhance predictive reliability.

PM2.5 and PM10 concentration forecasting with spatial–temporal attention networks

Authors: Zhang, K., Yang, X., Cao, H., Tan, Z., Yu, H.

Journal: Environment International, 2023, 171, 107691

Description: This article introduces a spatial–temporal attention mechanism for PM2.5 and PM10 forecasting, using convolutional neural networks with residual learning to tackle air quality predictions.

Ash determination of coal flotation concentrate using hybrid deep learning model

Authors: Yang, X., Zhang, K., Ni, C., Tan, Z., Yu, H.

Journal: Energy, 2022, 260, 125027

Description: This work features a hybrid model that utilizes deep learning and attention mechanisms to determine ash content in coal flotation, contributing to process optimization.

Influence of cation valency on flotation of chalcopyrite and pyrite

Authors: Yang, X., Bu, X., Xie, G., Chehreh Chelgani, S.

Journal: Journal of Materials Research and Technology, 2021, 11, pp. 1112–1122

Description: This comparative study explores how different cation valencies affect chalcopyrite and pyrite flotation, contributing to better separation techniques in mineral processing.

Conclusion

Xiaolin Yang is a compelling candidate for the Best Researcher Award. His strengths in applying AI and image analysis to mineral processing reflect a unique skill set that is highly relevant for advancing research and industry practices. With further interdisciplinary work and expanded research visibility, Xiaolin is well-positioned to make impactful contributions and earn recognition in his field.

Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Published on by Mechanics Awards

Prof. Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Professor at Zhejiang Ocean Univeristy, China

Wei-Zhi Wu, Ph.D., is a distinguished Professor of Mathematics at Zhejiang Ocean University in Zhoushan, China. With a prolific career in applied mathematics, Dr. Wu specializes in granular computing, data mining, and the mathematical foundations of artificial intelligence. He has contributed to over 200 articles in esteemed journals, as well as four key monographs. His expertise has earned him repeated recognition on Elsevier’s Most Cited Chinese Researchers list (2014-2023), as well as among the Top 100,000 Scientists globally, with a remarkable 2% percentile ranking in both career and annual categories. Dr. Wu also holds prominent editorial roles in various international academic journals.

Publication Profile

scholar

Education🎓

B.Sc. in Mathematics – Zhejiang Normal University, Jinhua, China, 1986 M.Sc. in Mathematics – East China Normal University, Shanghai, China, 1992 Ph.D. in Applied Mathematics – Xi’an Jiaotong University, Xi’an, China, 2002

Experience🖊️ 

Professor of Mathematics – School of Information Engineering, Zhejiang Ocean University, Zhoushan, Chin Extensive Publications – Authored 200+ articles and 4 monographs in mathematics, computing, and AI Editorial Board Membership – Serves on multiple prestigious international journals, contributing to mathematical and AI research dissemination Research Leader – Notable for pioneering efforts in granular computing, data mining, and AI foundations

Awards and Honors🏆

Most Cited Chinese Researchers – Featured in Elsevier’s list (2014-2023) mTop Global Scientist – Ranked in the Top 100,000 Scientists worldwide, with a career-long and single-year ranking in the top 2%  Prolific Author – Renowned for influential monographs and extensive publication record Editorial Distinction – Serves as an editorial board member for multiple top-tier international journals

Research Focus🌍

Granular Computing – Explores and applies granular structures in computational systems  Data Mining – Develops and advances data mining techniques for complex data analysis Mathematics of AI – Examines foundational mathematical principles underpinning artificial intelligence algorithms  Interdisciplinary Applications – Integrates applied mathematics into practical AI and computing solutions

Publication  Top Notes

  • 粗糙集理论与方法 (Rough Set Theory and Methods)
    Authors: 张文修, 吴伟志, 梁吉业, 李德玉
    Publisher: 科学出版社 (Science Press)
    Citations: 620*
    Year: 2001
  • Generalized Fuzzy Rough Sets
    Authors: W.Z. Wu, J.S. Mi, W.X. Zhang
    Journal: Information Sciences, Vol. 151, pp. 263-282
    Citations: 769
    Year: 2003
  • Constructive and Axiomatic Approaches of Fuzzy Approximation Operators
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3), pp. 233-254
    Citations: 554
    Year: 2004
  • Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model
    Authors: J.S. Mi, W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3-4), pp. 255-272
    Citations: 525
    Year: 2004
  • Granular Computing and Knowledge Reduction in Formal Contexts
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: IEEE Transactions on Knowledge and Data Engineering, Vol. 21(10), pp. 1461-1474
    Citations: 432
    Year: 2009
  • Knowledge Acquisition in Incomplete Information Systems: A Rough Set Approach
    Authors: Y. Leung, W.Z. Wu, W.X. Zhang
    Journal: European Journal of Operational Research, Vol. 168(1), pp. 164-180
    Citations: 414
    Year: 2006
  • Neighborhood Operator Systems and Approximations
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 144(1), pp. 201-217
    Citations: 284
    Year: 2002
  • On Characterizations of (I, T)-Fuzzy Rough Approximation Operators
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: Fuzzy Sets and Systems, Vol. 154(1), pp. 76-102
    Citations: 279
    Year: 2005
  • Knowledge Reduction in Random Information Systems via Dempster–Shafer Theory of Evidence
    Authors: W.Z. Wu, M. Zhang, H.Z. Li, J.S. Mi
    Journal: Information Sciences, Vol. 174(3-4), pp. 143-164
    Citations: 267
    Year: 2005
  • A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems
    Authors: Y. Leung, M.M. Fischer, W.Z. Wu, J.S. Mi
    Journal: International Journal of Approximate Reasoning, Vol. 47(2), pp. 233-246
    Citations: 258
    Year: 2008

Conclusion

Dr. Wei-Zhi Wu is a highly accomplished researcher whose work demonstrates both depth and breadth across mathematics, data mining, and AI. His robust research profile, substantial publications, international recognition, and leadership roles affirm his suitability for the Best Researcher Award. Given his impactful contributions to foundational AI research, awarding him could encourage further advances in mathematical applications within AI and inspire other scholars in related fields.

Jinxia Zhang | Defect detection | Best Researcher Award

Published on by Mechanics Awards

Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

 Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang  earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang  is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors  🏆

Assoc Prof Dr. Jinxia Zhang  has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus  🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication  Top Notes

  • Towards the Quantitative Evaluation of Visual Attention Models (2015)
    • Citation: 75
    • Journal: Vision Research
    • Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
    • Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
  • A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
    • Citation: 63
    • Journal: Pattern Recognition
    • Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
    • Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
  • Salient Object Detection by Fusing Local and Global Contexts (2020)
    • Citation: 60
    • Journal: IEEE Transactions on Multimedia
    • Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
    • Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
  • Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
    • Citation: 36
    • Journal: Journal of Modern Power Systems and Clean Energy
    • Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
    • Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
  • Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
    • Citation: 35
    • Journal: Journal of Vision
    • Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
    • Highlights: Examines human visual foraging behavior in dynamically changing environments.
  • Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
    • Citation: 25
    • Journal: Biomedical Signal Processing and Control
    • Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
    • Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
  • A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
    • Citation: 23
    • Journal: Applied Energy
    • Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
    • Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
  • Salient Object Detection via Deformed Smoothness Constraint (2018)
    • Citation: 21
    • Journal: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
    • Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
  • Character Recognition via a Compact Convolutional Neural Network (2017)
    • Citation: 20
    • Conference: International Conference on Digital Image Computing
    • Key Contributors: H. Zhao, Y. Hu, J. Zhang
    • Highlights: Develops a compact CNN for robust character recognition in natural scene images.
  • A Prior-Based Graph for Salient Object Detection (2014)
    • Citation: 23
    • Conference: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
    • Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Yu-Fon Chen | Bio materials | Best Researcher Award

Published on by Mechanics Awards

Assoc Prof Dr. Yu-Fon Chen  | Bio materials | Best Researcher Award

Associate Professor at National Taitung University, Taiwan

Yu-Fon Chen, Ph.D., is a prominent researcher with a strong foundation in medical laboratory science, microbiology, immunology, and biotechnology. Her work focuses on using natural polymers to develop innovative biomedical solutions, particularly in drug delivery systems targeting cancer cells and bacterial surfaces. With numerous publications, patents, and awards, Dr. Chen is recognized for reducing drug side effects and overcoming drug resistance.

Publication Profile

scholar

Education

Ph.D. in Life Sciences: National Cheng Kung University, Taiwan (2007–2014) M.S. in Microbiology and Immunology: National Cheng Kung University, Taiwan (2002–2004) B.S. in Medical Laboratory Science and Biotechnology: Chung Shan Medical University, Taiwan (1998–2002)

Experience

👩‍🏫 Faculty, Biomedicine Master’s Program: National Taitung University, Taiwan (2021–Present) Postdoctoral Researcher, Chemical Engineering: National Cheng Kung University, Taiwan (2015–2020 Assistant Research Fellow: AsiaGen Corporation, Taiwan (2005–2006) Certified Clinical Medical Technologist: Taiwan (2002)

Awards and Honors

🏆 Numerous awards for contributions in biomedical research Patents in drug delivery systems and non-viral gene delivery Recognized for innovative cancer-targeting treatments and overcoming drug resistance challenges Acknowledged in leading scientific communities for impactful publications

Research Focus

🔬 Exploration of natural polymers in biomedical applications Development of environment-responsive drug carriers Non-viral gene delivery methods
🧪 Design of peptide drugs targeting cancer and bacterial surface  Reducing drug side effects and overcoming resistance in cancer therapies

Publication  Top Notes

  • Star-shaped polypeptides exhibit potent antibacterial activities
    Authors: YF Chen, YD Lai, CH Chang, YC Tsai, CC Tang, JS Jan
    Journal: Nanoscale 11 (24), 11696-11708
    Year: 2019
    Citations: 64
  • Reduction-and pH-sensitive lipoic acid-modified Poly (l-lysine) and polypeptide/silica hybrid hydrogels/nanogels
    Authors: YX Zhang, YF Chen, XY Shen, JJ Hu, JS Jan
    Journal: Polymer 86, 32-41
    Year: 2016
    Citations: 59
  • Cell-targeted, dual reduction-and pH-responsive saccharide/lipoic acid-modified poly (L-lysine) and poly (acrylic acid) polyionic complex nanogels for drug delivery
    Authors: SC How, YF Chen, PL Hsieh, SSS Wang, JS Jan
    Journal: Colloids and Surfaces B: Biointerfaces 153, 244-252
    Year: 2017
    Citations: 38
  • TRAIL encapsulated to polypeptide-crosslinked nanogel exhibits increased anti-inflammatory activities in Klebsiella pneumoniae-induced sepsis treatment
    Authors: YF Chen, GY Chen, CH Chang, YC Su, YC Chen, Y Jiang, JS Jan
    Journal: Materials Science and Engineering: C 102, 85-95
    Year: 2019
    Citations: 35
  • Zhankuic acid A isolated from Taiwanofungus camphoratus is a novel selective TLR4/MD-2 antagonist with anti-inflammatory properties
    Authors: Y Chen, AL Shiau, SH Wang, JS Yang, SJ Chang, CL Wu, TS Wu
    Journal: The Journal of Immunology 192 (6), 2778-2786
    Year: 2014
    Citations: 28
  • Green synthesis of gold nanoparticle/gelatin/protein nanogels with enhanced bioluminescence/biofluorescence
    Authors: IH Chen, YF Chen, JH Liou, JT Lai, CC Hsu, NY Wang, JS Jan
    Journal: Materials Science and Engineering: C 105, 110101
    Year: 2019
    Citations: 27
  • Disulfide-cross-linked PEG-block-polypeptide nanoparticles with high drug loading content as glutathione-triggered anticancer drug nanocarriers
    Authors: YF Chen, CH Chang, CY Lin, LF Lin, ML Yeh, JS Jan
    Journal: Colloids and Surfaces B: Biointerfaces 165, 172-181
    Year: 2018
    Citations: 25
  • One-dimensional poly (L-lysine)-block-poly (L-threonine) assemblies exhibit potent anticancer activity by enhancing membranolysis
    Authors: YF Chen, AL Shiau, SJ Chang, NS Fan, CT Wang, CL Wu, JS Jan
    Journal: Acta Biomaterialia 55, 283-295
    Year: 2017
    Citations: 25
  • Naturally derived DNA nanogels as pH-and glutathione-triggered anticancer drug carriers
    Authors: YF Chen, MW Hsu, YC Su, HM Chang, CH Chang, JS Jan
    Journal: Materials Science and Engineering: C 114, 111025
    Year: 2020
    Citations: 22
  • The JAK inhibitor antcin H exhibits direct anticancer activity while enhancing chemotherapy against LMP1-expressed lymphoma
    Authors: YF Chen, CH Chang, ZN Huang, YC Su, SJ Chang, JS Jan
    Journal: Leukemia & Lymphoma 60 (5), 1193-1203
    Year: 2019
    Citations: 19
  • Zhankuic acid A as a novel JAK2 inhibitor for the treatment of concanavalin A-induced hepatitis
    Authors: YF Chen, SH Wang, SJ Chang, AL Shiau, LS Her, GS Shieh, CF Chen, …
    Journal: Biochemical Pharmacology 91 (2), 217-230
    Year: 2014
    Citations: 19
  • The Constituents of Michelia compressa var. formosana and Their Bioactivities
    Authors: YY Chan, SH Juang, GJ Huang, YR Liao, YF Chen, CC Wu, HT Chang, …
    Journal: International Journal of Molecular Sciences 15 (6), 10926-10935
    Year: 2014
    Citations: 19
  • The Constituents of Roots and Stems of Illigera luzonensis and Their Anti-Platelet Aggregation Effects
    Authors: CH Huang, YY Chan, PC Kuo, YF Chen, RJ Chang, IS Chen, SJ Wu, …
    Journal: International Journal of Molecular Sciences 15 (8), 13424-13436
    Year: 2014
    Citations: 18
  • Enhancement of antitumor immune response by targeted interleukin-12 electrogene transfer through antiHER2 single-chain antibody in a murine bladder tumor model
    Authors: YS Tsai, AL Shiau, YF Chen, HT Tsai, HL Lee, TS Tzai, CL Wu
    Journal: Vaccine 27 (39), 5383-5392
    Year: 2009
    Citations: 16
  • Advances in the application of nanomaterials as treatments for bacterial infectious diseases
    Authors: YP Hung, YF Chen, PJ Tsai, IH Huang, WC Ko, JS Jan
    Journal: Pharmaceutics 13 (11), 1913
    Year: 2021
    Citations: 14
  • ZnO-loaded DNA nanogels as neutrophil extracellular trap-like structures in the treatment of mouse peritonitis
    Authors: YF Chen, YH Chiou, YC Chen, YS Jiang, TY Lee, JS Jan
    Journal: Materials Science and Engineering: C 131, 112484
    Year: 2021
    Citations: 12
  • Natural nanogels crosslinked with S-benzyl-L-cysteine exhibit potent antibacterial activity
    Authors: FY Chung, CR Huang, CS Chen, YF Chen
    Journal: Biomaterials Advances 153, 213551
    Year: 2023
    Citations: 7
  • Antioxidant activity of linear and star-shaped polypeptides modified with dopamine and glutathione
    Authors: CF Su, YF Chen, YJ Tsai, SM Weng, JS Jan
    Journal: European Polymer Journal 152, 110497
    Year: 2021
    Citations: 7
  • Effect of oil–water interface and payload-DNA interactions on payload-encapsulated DNA nanogels
    Authors: YF Chen, WC Lin, CJ Wu, CH Chang, JS Jan
    Journal: Journal of Polymer Research 29 (1), 8
    Year: 2022
    Citations: 6
  • Antibacterial activity of cysteine-derived cationic dipeptides
    Authors: YC Tsai, CC Tang, HH Wu, YS Wang, YF Chen
    Journal: International Journal of Peptide Research and Therapeutics 26, 1107-1114
    Year: 2020
    Citations: 6

Conclusion

Dr. Yu-Fon Chen exemplifies the qualities of a leading researcher through his extensive expertise, impactful research, and commitment to advancing biomedicine. His work in developing innovative drug delivery systems and peptide drugs holds great promise for addressing significant healthcare challenges. While there are opportunities for growth in collaboration and public engagement, his strengths far outweigh the areas for improvement. Dr. Chen’s dedication and achievements make him a strong candidate for the Best Researcher Award, as he continues to pave the way for advancements in biomedical applications and improve patient outcomes.