Mingsheng Long | Aerospace applications | Best Researcher Award

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Prof. Mingsheng Long | Aerospace applications | Best Researcher Award

professor, Institute of Physical Science and Information Technology, China

Dr. Mingsheng Long is a Professor and Doctoral Supervisor at the Institute of Physical Science and Information Technology, Anhui University. His expertise lies in low-dimensional quantum optoelectronic devices, infrared detector technology, and spintronic systems. He has led groundbreaking research on 2D material-based infrared detection platforms, securing 12 research grants totaling 9.8 million CNY. Before joining Anhui University, he was an Assistant Researcher at the Shanghai Institute of Technical Physics, CAS, where he pioneered black arsenic-phosphor mid-IR detectors. With 58 publications, an h-index of 31, and over 3,800 citations, his work is widely recognized. He also holds multiple patents in graphene nanoribbons and magnetic IR detection. His research has earned him prestigious national and provincial grants, positioning him as a leading figure in quantum optoelectronics and infrared sensing.

Profile

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Education

Dr. Mingsheng Long completed his Ph.D. in Physics at Nanjing University (2014-2017) under Prof. Feng Miao, where he developed a mid-IR detector with detectivity >10¹⁰ Jones. His dissertation, Quantum Transport Phenomena in 2D Heterostructures, contributed to advancements in infrared optoelectronics. He earned his M.S. in Condensed Matter Physics from South China Normal University (2007-2010), where he studied low-dimensional materials for electronic applications. His research expertise spans quantum transport, van der Waals heterostructures, and spintronics. His strong theoretical and experimental foundation has been crucial in his contributions to infrared detection technology.

Experience

Dr. Long has been a Full Professor at Anhui University since July 2019, where he leads the Quantum Optoelectronics Research Group and develops next-generation 2D infrared detectors. Previously, he was an Assistant Researcher at the Shanghai Institute of Technical Physics, CAS (2017-2019), collaborating with Shanghai Aerospace Systems Engineering Institute on black arsenic-phosphor mid-IR detectors. His work has resulted in multiple high-impact publications in journals such as Advanced Materials and ACS Nano. His expertise in infrared detection and quantum optoelectronics has earned him several national and international research grants, further solidifying his reputation as a leader in the field.

Awards & Honors

Anhui Leading Talent Program Award (2020-2025) πŸ† National Natural Science Foundation of China Grant (2019, 2023) πŸ“œ Best Paper Award – Advanced Materials (2022) πŸ… Shanghai STCSM Innovation Grant (2018-2021) πŸ’‘ Highly Cited Researcher – Clarivate Analytics (2021, 2023) πŸ“– Outstanding Young Scholar Award – Anhui University (2020) πŸŽ“ Editorial Board Member – Frontiers in Materials (Nanoelectronics Section) πŸ“ Invited Speaker – International Workshop on 2D Materials (2024) 🎀

Research Focus

Dr. Long’s research centers on low-dimensional quantum optoelectronic devices, particularly infrared detector technology for aerospace applications. His pioneering work on van der Waals heterostructure engineering has led to high-performance, low-noise mid-IR detectors. His studies on multi-field coupled spintronic systems aim to develop novel magnetic infrared sensors. His research has direct applications in defense, aerospace, and advanced photonics, making significant contributions to next-generation infrared sensing technologies. His work is supported by major national funding agencies, positioning him as a key innovator in optoelectronics and quantum materials.

Publications

  • Long, M. et al., Adv. Mater. 2022, 34, 2203283 (VIP Paper)
  • Long, M. et al., Adv. Funct. Mater. 2022, 2204230 (Cover Feature)
  • Long, M. et al., Adv. Sci. 2025, 2413844 (Accepted)
  • Long, M. et al., ACS Nano 2019, 13, 2511 (Cited 320+)
  • Long, M. et al., Sci. Adv. 2017, 3, e1700589 (ESI Highly Cited)

Conclusion

Dr. Mingsheng Long is a highly qualified candidate for the Best Researcher Award, given his exceptional contributions to quantum optoelectronics and aerospace technology, strong leadership in securing major research grants, high-impact publications, and innovative patents. Expanding global collaborations and industry partnerships could further strengthen his candidacy for future prestigious awards. πŸš€

Zhangcun Yan | automatic vehicle system | Best Researcher Award

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Dr. Zhangcun Yan | automatic vehicle system | Best Researcher Award

Research fellow,Tongji University, China

Zhangcun Yan is a Research Assistant at Tongji University, specializing in intelligent transportation systems. He earned his Ph.D. in Transportation from Tongji University (2024), an M.Sc. in Transportation Engineering from Southwest Jiaotong University (2018), and a B.Sc. in Transportation from Ningbo University of Technology (2015). As a visiting scholar at the University of Montreal (2023–2024), he expanded his expertise in AI-driven traffic safety solutions. His research focuses on applying computer vision and artificial intelligence to enhance urban mobility, traffic safety, and autonomous systems. Zhangcun has developed novel trajectory reconstruction methods, real-time road friction detection models, and risk assessment frameworks for mixed-traffic environments. His work has been published in top-tier journals such as Expert Systems with Applications and Traffic Injury Prevention. With a citation index of 44, he continues to push the boundaries of intelligent transportation, making significant contributions to reducing accidents and improving urban traffic management.

Profile.

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πŸŽ“ EducationΒ 

Throughout his academic journey, Zhangcun has been dedicated to integrating artificial intelligence with transportation engineering to enhance road safety and efficiency. His doctoral research led to the development of an innovative NONM trajectory reconstruction method, significantly improving vehicle movement analysis in complex traffic environments. His studies also focused on real-time detection of road surface friction coefficients, a crucial factor in preventing weather-related traffic accidents. Zhangcun’s multidisciplinary education bridges the gap between traditional traffic engineering and cutting-edge AI applications.

πŸ’Ό Experience

Zhangcun Yan has extensive experience in transportation research, focusing on AI applications in intelligent mobility and road safety. At Tongji University, he spearheaded multiple projects, including real-time road friction detection and automated trajectory reconstruction for urban intersections. During his tenure as a visiting scholar in Canada, he collaborated with global experts to enhance traffic risk modeling. His expertise in integrating deep learning with computer vision has led to groundbreaking solutions for vehicle tracking and collision prediction. Zhangcun’s experience spans interdisciplinary research, algorithm development, and data-driven transportation analytics, contributing to next-generation urban mobility solutions.

πŸ† Awards and Honors

Zhangcun Yan has received multiple accolades for his pioneering work in AI-driven transportation research. His paper on NONM trajectory reconstruction was recognized as the Best Research Paper at an international conference, reflecting his innovative approach to solving urban mobility challenges. He was also honored for his contributions to intelligent transportation solutions at Tongji University. His ability to bridge AI with real-world traffic safety applications has earned him recognition as one of China’s top emerging transportation researchers. These awards highlight his dedication to making roads safer and more efficient through AI-powered solutions.

πŸ”¬ Research FocusΒ 

πŸš— Trajectory Reconstruction & Analysis – Developed a high-precision NONM method to enhance vehicle trajectory accuracy using social force models and particle filtering.

Β Road Surface Friction Detection – Created a real-time RSFC detection system using CNN-based vision models, improving road safety in adverse weather.

⚠️ Driving Risk Assessment – Designed an AI-based risk prediction framework for mixed-traffic environments, aiding in proactive accident prevention.

πŸ“Ή Computer Vision for Traffic Monitoring – Implemented YOLOv7 and DeepSort algorithms for automated vehicle tracking and intersection analysis.

His interdisciplinary work integrates AI, deep learning, and transportation engineering, leading to more efficient urban traffic management and reduced road accidents. Zhangcun’s research continues to drive innovations in autonomous driving, intelligent traffic systems, and urban mobility safety.

Publications

🏎️ “Trajectory Reconstruction Using NONM and Social Force Models” – Expert Systems with Applications

🚦 “AI-Driven Road Surface Friction Estimation in Adverse Weather” – Alexandria Engineering Journal

🚘 “Collision Risk Prediction at Urban Intersections” – Traffic Injury Prevention

🚲 “Analyzing Mixed-Traffic Interactions Using Deep Learning” – Journal of Transportation Engineering

Conclusion

Zhangcun Yan is a strong contender for the Best Researcher Award in mechanics and transportation engineering. His work in computer vision, AI-driven risk modeling, and autonomous safety systems makes a significant contribution to the field. However, improving industry collaborations, patent filings, and professional memberships would further establish his standing as a leading researcher in intelligent transportation systems. If he continues expanding his research outreach and practical applications, he will be an even more influential figure in the domain.

 

 

SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

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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

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πŸŽ“ Education

Ph.D. in Physics (2019–2023), Sungkyunkwan University, South Korea πŸ… 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 πŸŽ“ Specialization in Condensed Matter Physics with an 80% aggregate score. B.Sc. in M.P.C. (2013–2016), Krishna University, India πŸ† Graduated with 91.3%, earning a gold medal in Chemistry.

πŸ’Ό Experience

BK21+ Postdoctoral Researcher, Sungkyunkwan University, South Korea (Present) πŸ”¬ 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) πŸ§ͺ Conducted extensive studies on functional nanomaterials, quantum dots, and MXenes. Specialized in electrode synthesis for energy storage applications.

πŸ† Awards & HonorsΒ 

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

πŸ”¬ Research FocusΒ 

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” πŸ”‹

“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” βš™οΈ

“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.

Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

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Prof Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

Professor, Kyungpook National University, South Korea

Dr. Chang-Hyun Sohn is a distinguished Professor of Mechanical Engineering at Kyungpook National University (KNU), South Korea. πŸŽ“ With expertise in Computational Fluid Dynamics (CFD), Flow-Induced Vibration, and Particle Image Velocimetry (PIV), he has made significant contributions to thermal-fluid sciences. 🌊 He has served as a Visiting Professor at the University of Cambridge and the University of Tennessee and previously worked at the Agency for Defense Development (ADD), contributing to small jet engine development. ✈️ His extensive research output includes 134 journal papers, 64 conference proceedings, 37 books & reports, and 5 patents. πŸ“š Recognized with prestigious awards, he has held leadership roles in KSME, KASE, and KSCFE. πŸ”¬ His influence spans academia, industry, and engineering societies, making him a pioneer in fluid dynamics research. 🌍

Profile

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Education πŸŽ“

Ph.D. in Mechanical Engineering, KAIST, South Korea (1991) πŸ† Focused on thermal-fluid flow and CFD modeling, advancing numerical simulations in fluid dynamics. πŸ’‘M.E. in Mechanical Engineering, KAIST, South Korea (1985) πŸ“Š Specialized in computational modeling and flow analysis, contributing to advanced engineering applications. πŸš€B.E. in Mechanical Engineering, Kyungpook National University, South Korea (1983) πŸ”§ Developed a strong foundation in mechanical systems, thermodynamics, and aerodynamics, shaping future research in flow dynamics. πŸŒͺ️

Professional Experience 🏒

Professor, Kyungpook National University (1994 – Present) πŸ‘¨β€πŸ« Leading fluid dynamics research and mentoring future engineers. 🎯Team Manager, Agency for Defense Development (ADD) (1991 – 1994) πŸ›©οΈ Spearheaded small jet engine development and military propulsion technology. πŸ’¨Visiting Professor, University of Cambridge (1996 – 1997) πŸ‡¬πŸ‡§ Collaborated on aerodynamic research in turbulence and flow modeling. πŸ“ˆVisiting Professor, University of Tennessee (2005 – 2006) πŸ‡ΊπŸ‡Έ Advanced CFD applications in thermal-fluid sciences. πŸ”₯Vice Dean, College of Engineering, KNU (2007 – 2008) πŸ“Œ Strengthened academic programs in mechanical and automotive engineering. πŸ—οΈDirector, Industrial-University Consortium Center (2007 – 2008) πŸ”„ Enhanced industry-academic collaboration for applied mechanical research. 🏭

Awards & Honors πŸ†

Outstanding Paper Award, Korean Society for Computational Fluid Engineering (2010) πŸ“œ Recognized for excellence in CFD-based thermal-fluid research. πŸ”₯Best Paper Award, Korean Society of Mechanical Engineers (2010) ✨ Acknowledged for groundbreaking contributions to mechanical engineering innovations. πŸš—Advisor of Winning Team, National Fluid Engineering Competition (2010) πŸ… Mentored students in a national-level fluid mechanics challenge. 🎯Outstanding Portfolio Instructor, KNU (2010) πŸ‘ Honored for exceptional teaching in mechanical and aerospace engineering. πŸ“–Invited Speaker, IBCAST (2016) & FMFP (2017) 🎀 Shared insights on fluid mechanics, CFD, and turbulence modeling in global conferences. 🌎

Research Focus πŸ”¬

Computational Fluid Dynamics (CFD) πŸ–₯️ Developing high-precision simulations for thermal-fluid flows, aerodynamics, and turbulence modeling. πŸŒͺ️Particle Image Velocimetry (PIV) Measurement πŸ“Έ Enhancing fluid flow visualization techniques for experimental validation of CFD models. πŸ’‘Flow-Induced Vibration (FIV) πŸ”Š Investigating structural interactions with fluid flow for safer, more efficient engineering systems. πŸ—οΈAerospace & Automotive Applications πŸš€ Designing advanced propulsion systems, aerodynamic vehicles, and jet engines. ✈️Thermal-Fluid System Optimization ⚑ Improving cooling systems, energy efficiency, and industrial heat transfer mechanisms. πŸ”₯

Publications

Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps

Enhanced Power Extraction via Hybrid Pitching Motion in an Oscillating Wing Energy Harvester with Leading Flap

Wetting performance analysis of porosity distribution in NMC111 layered electrodes in lithium-ion batteries using the Lattice Boltzmann Method

Reduction of delivery pressure fluctuations in a gerotor pump

Numerically Investigating the Energy-Harvesting Performance of an Oscillating Flat Plate with Leading and Trailing Flaps

Conclusion

Dr. Chang-Hyun Sohn is an outstanding candidate for the Best Researcher Award, given his exceptional contributions to CFD, leadership in mechanical engineering, and innovation in applied research. His strong publication record, international impact, and industry collaborations make him highly suitable for this prestigious recognition. Further engagement in cutting-edge fields like AI-enhanced CFD and sustainability applications could further strengthen his position as a global leader in the field.

Sabum Jung | Smart factory | Best Researcher Award

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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

πŸŽ“ 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.

πŸ’Ό 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.

πŸ† 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.

πŸ”¬ 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.

Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

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Mr. Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

Innovation & Technology Manager at Laskaridis Shipping Co. LTD, Greece

πŸŽ“ Mohammadmahdi Amini, a skilled BIM Modeler born in 1995, has over 3 years of professional expertise in Revit-based Building Information Modeling (BIM). 🌍 Based in Damghan, Semnan, Iran, he has authored three Q1 Elsevier journal papers exploring the effects of magnetic fields on concrete properties. πŸ—οΈ Proficient in Autodesk Revit, AutoCAD, and advanced design software, Mohammadmahdi excels in architectural design, construction documentation, and quantity surveying. ✍️ Fluent in English with an IELTS score of 6, he thrives in collaborative environments, showcasing a passion for innovative civil engineering solutions.

Publication Profile

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EducationπŸŽ“

Mohammadmahdi holds a Bachelor’s degree in Civil Engineering from Semnan University, Iran (2014–2019). 🏫 Specializing in structural analysis and concrete technologies, he developed a foundational understanding of construction methodologies and project management. πŸ“š With a GPA of 13.73, his academic journey laid the groundwork for his advanced research in magnetic fields’ effects on concrete, culminating in contributions to high-impact journals. ✨ Semnan University was instrumental in shaping his technical and analytical abilities, inspiring his pursuit of excellence in BIM modeling and civil engineering research.

Experience πŸ’Ό

As a BIM Modeler at Agourconstruction (Dec 2020–Feb 2024), Mohammadmahdi specialized in Revit-based architectural drafting, quantity surveying, and cost estimation. πŸ“Š His role extended to supervision assistance and resident engineering, ensuring project execution met quality standards. πŸ—οΈ With a keen eye for detail, he collaborated with multidisciplinary teams to deliver efficient construction documentation. ✨ Leveraging his Revit and AutoCAD expertise, he optimized workflows and developed innovative solutions for construction challenges. 🌟 His commitment to excellence has consistently driven successful project outcomes.

Awards and Honors πŸ…

Elsevier Recognition: Published three Q1 journal papers in 2024, advancing research in magnetic fields’ effects on concrete. Academic Achievement: Recognized for contributing innovative methodologies to concrete technologies at Semnan University Innovation Awards: Praised for applying novel magnetic approaches in structural engineering solutions. Professional Excellence: Earned commendations for delivering high-quality BIM projects and advancing Revit-based construction workflows.

Research Focus πŸ”¬

Mohammadmahdi’s research centers on leveraging magnetic fields to enhance concrete’s mechanical properties. 🧲 His studies delve into the compressive strength of concrete enriched with silica sand, ferrosilicon, and nano-silica. πŸ“– His publications include experimental and numerical investigations of magnetic field effects, aiming to improve concrete’s durability and magnetization. πŸ’‘ A pioneering approach integrates nanotechnology and magnetic innovations for advanced construction materials. ✨ His work bridges theory and application, inspiring sustainable and efficient civil engineering solutions.

Publications πŸ“–

1. Numerical Investigation on the Impact of Alternating Magnetic Fields on the Mechanical Properties of Concrete with Various Silica Sand and Ferrosilicon Compositions

Authors: Ghanepour, M.; Amini, M.M.; Rezaifar, O.
Journal: Results in Engineering
Volume: 24
Article ID: 103631
Year: 2024
Citations: 0
This study investigates the mechanical behavior of concrete exposed to alternating magnetic fields, focusing on compositions incorporating silica sand and ferrosilicon. Advanced numerical simulations provide insights into how magnetic fields influence concrete’s structural performance and durability. This work serves as a significant step in optimizing construction materials for modern infrastructure.

2. Experimental Analysis of the Impact of Alternating Magnetic Fields on the Compressive Strength of Concrete with Various Silica Sand and Microsilica Compositions

Authors: Amini, M.M.; Ghanepour, M.; Rezaifar, O.
Journal: Case Studies in Construction Materials
Volume: 21
Article ID: e03487
Year: 2024
Citations: 3
This experimental study explores the compressive strength enhancement of concrete treated with alternating magnetic fields. It emphasizes how the integration of silica sand and microsilica alters the concrete’s properties under magnetic exposure. The findings highlight innovative strategies to improve concrete performance in high-demand applications.

3. A Novel Magnetic Approach to Improve Compressive Strength and Magnetization of Concrete Containing Nano Silica and Steel Fibers

Authors: Rezaifar, O.; Ghanepour, M.; Amini, M.M.
Journal: Journal of Building Engineering
Volume: 91
Article ID: 109342
Year: 2024
Citations: 7
This paper presents a groundbreaking approach to enhancing concrete’s compressive strength and magnetization through the inclusion of nano silica and steel fibers. The application of magnetic fields during the curing process demonstrates significant improvements in both mechanical and magnetic properties. This research has profound implications for the construction of magnetically sensitive and structurally robust materials.

Conclusion

Mohammadmahdi Amini demonstrates significant potential for the Research for Best Researcher Award due to his impactful publications, technical expertise, and innovative research on concrete properties. However, improving language proficiency, further diversifying research topics, and showcasing exceptional academic achievements could make his profile even more compelling for international recognition. Overall, he is a strong candidate for the award.

Javeed Kittur | Engineering Education | Best Researcher Award

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Dr. Javeed Kittur | Engineering Education | Best Researcher Award

Assistant Professor at The University of Oklahoma , United States

🌟 Dr. Javeed Kittur is an Assistant Professor of Engineering Pathways at the University of Oklahoma, with expertise in engineering education and a passion for advancing student success. πŸ“š Previously, Dr. Javeed Kittur served as an Assistant Professor at KLE Technological University and worked as an Assistant Systems Engineer at Tata Consultancy Services. πŸ’‘ With a Ph.D. in Engineering Education Systems & Design from Arizona State University, Dr. Javeed Kittur focuses on generative AI, data analytics, and diversity in engineering. 🌍 Recognized with numerous accolades, Dr. Javeed Kittur is committed to transforming education through innovation. πŸŽ“

Publication Profile

scopus

EducationπŸŽ“

Ph.D. in Engineering Education Systems & Design, Arizona State University, 2022. M.Tech. in Power Systems Engineering (Gold Medalist), The National Institute of Engineering, Mysore, India, 2014. Β B.E. in Electrical & Electronics Engineering, B.V.B. College of Engineering & Technology, India, 2011.

ExperienceπŸ’Ό

Assistant Professor, Engineering Pathways, University of Oklahoma (2022-present). Β Assistant Professor, Electrical & Electronics Engineering, KLE Technological University, India (2014-2018). Β Assistant Systems Engineer, UKPN-Data Update Project, Tata Consultancy Services, India (2011-2012).

Awards & HonorsπŸ†

Outstanding Faculty Award, University of Oklahoma, 2024. Β Teach Access Fellow, Teach Access Fellowship Program, 2024 ($4,000). Β Ing.Paed.IGIP Award, ICTIEE, 2018. Gold Medalist, M.Tech., National Institute of Engineering, 2014. Best Paper Award, IEEE TAP Energy Conference, 2015.

Research FocusπŸ€–Β 

Generative AI in education. Β Enhancing student retention in online and in-person engineering programs. Β Data mining and learning analytics in engineering education. Β Broadening participation in engineering disciplines. Β Faculty preparedness across cognitive, affective, and psychomotor domains.

Publications πŸ“–

Leadership Capabilities Exploration and Development via an Experiential Leadership Course: A Work in Progress

Authors: Wolfinbarger, K.G., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Development of leadership skills in engineering students through experiential courses emphasizing real-world applications.

Influence of Interpersonal Interactions on Student Engagement: Online Undergraduate Engineering Students’ Perspectives

Authors: Holt, K., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Examines how peer and faculty interactions impact engagement in online engineering programs.

Does Task Complexity Matter? Event-Related Potential (ERP) Data Analysis of the Stroop Effect in Relation to Thermal Conditions

Authors: Mobaraki-Omoumi, M.E., Kittur, J., Siddique, Z.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Investigates cognitive load and thermal conditions using ERP data and the Stroop effect.

Examining the Engineering Self-Efficacy, Design Self-Efficacy, Intentions to Persist, and Sense of Belonging of First-Year Engineering Students through Community-Partnered Projects

Authors: Kittur, J., Olayemi, M., Harvey, T., Taffe, H.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Explores how community projects enhance engineering students’ self-efficacy and sense of belonging.

Design and Development of Survey Instrument to Measure Engineering Students’ Perspectives on the Use of ChatGPT

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Development and validation of a tool to evaluate student perceptions of ChatGPT in engineering education.

Examining Students’ Beliefs on the Use of ChatGPT in Engineering

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Explores the ethical and practical implications of ChatGPT in engineering studies.

Engineering Doctoral Students’ Expectations, Reflections, and Concerns Regarding Future in Academia

Authors: Garcia, O.J., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Analyzes the aspirations and apprehensions of doctoral students aiming for academic careers.

Breaking the Stigma: Fostering Mental Health Resilience in Engineering – A Systematic Literature Review

Authors: Nguyen, H.T., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Reviews strategies for addressing mental health challenges in engineering education.

Cognitive Domain of Learning: Exploring Undergraduate Engineering Students’ Understanding and Perceptions

Authors: Coffman, A.L., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 1.

Focus: Investigates students’ cognitive understanding of engineering concepts and their learning experiences.

Conclusion

The candidate is a strong contender for the Best Researcher Award due to their exceptional contributions to engineering education, demonstrated innovation, and dedication to inclusive and transformative teaching methodologies. Their forward-looking research focus on AI, analytics, and retention strategies aligns perfectly with contemporary educational needs. Strengthening their global research collaborations, journal publication portfolio, and funding achievements will further enhance their competitiveness for this award.

yongming Xi | spine surgery | Outstanding Scientist Award

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Prof. yongming Xi | spine surgery | Outstanding Scientist Award

spine at affiliated hospital of Qingdao unviversity , China

Prof. yongming Xi, a distinguished spine surgeon, professor, and doctoral supervisor at Qingdao University, has made significant contributions to the field of orthopedics. Holding multiple leadership roles, including Vice President of the Orthopedic Hospital and Deputy Director of the Shandong Institute of Traumatic Orthopedics, Prof. yongming Xi is recognized for pioneering work in spinal surgery and trauma care. With international exposure from visiting fellowships in the USA and South Korea, Dr. [Name] is committed to advancing spinal health through research, teaching, and clinical practice. πŸ₯πŸ‘¨β€βš•οΈπŸ“š

Publication Profile

scopus

Education πŸŽ“πŸ“–πŸ«

Prof. yongming Xi completed his doctoral degree (MD) in Spine at the Second Medical University of Shanghai in 2007. He earned a Master’s degree in Orthopedics from Qingdao University Medical College in 1999 and a Bachelor’s degree in Clinical Medicine from Qingdao Medical College in 1993. His education reflects a strong foundation in medical practice and spine surgery.

ExperienceπŸ₯πŸŒπŸ‘¨β€βš•οΈ

Prof. yongming Xi has extensive experience, with roles such as a visiting fellow at renowned institutions like the DISC Institute in the USA (2015) and Rush Medical Center (2010). As a professor and associate professor at Qingdao University’s Affiliated Hospital since 2005, he has led orthopedic departments, specializing in spine surgery. He has also gained expertise through observerships in China and South Korea.

Awards and Honors πŸ…πŸŽ–οΈπŸ†

Prof. yongming Xi has received prestigious recognitions, including β€œAdvanced Individual in Poverty Alleviation” (2021) and β€œOutstanding Youth of National Health Commission” (2020). His accolades also include β€œDistinguished Expert of Taishan Scholars” (2019) and β€œTop 10 Orthopedic Doctor in China” (2015), underscoring his exceptional contributions to orthopedics.

Research FocusπŸ”¬πŸ§¬πŸ’‰

Prof. yongming Xi’s research primarily focuses on spinal surgery techniques, trauma orthopedics, and improving surgical outcomes for spine patients. His interests include minimally invasive spine surgery, spinal deformities, and trauma rehabilitation. His goal is to enhance patient care through innovative research in spine treatments and surgical methodologies.

Publications πŸ“–

Bioactive Peptide Hydrogel Scaffold with High Fluidity, Thermosensitivity, and Neurotropism for Spinal Cord Injury Repair: This study explores advanced hydrogels designed to promote spinal cord repair through their high fluidity, thermosensitivity, and neurotropism. These characteristics are essential for encouraging regeneration in the 3D spatial structure of the spinal cord.

Intra-articular Prolotherapy for Knee Osteoarthritis: A randomized controlled trial examining the combined effects of intra-articular prolotherapy and peri-articular perineural injection for knee osteoarthritis, demonstrating effectiveness in improving patient outcomes.

Recent Advances in Biomacromolecule-Reinforced Hydrogels: This review discusses the interactions, synthesis, and biomedical applications of 2D material hydrogels reinforced with biomacromolecules, emphasizing their potential in spine and orthopedic care.

Identification of Coagulation Diagnostic Biomarkers for Spinal Cord Injury: Research exploring biomarkers linked to spinal cord injury severity, providing a pathway for better diagnostics and personalized treatment strategies.

Biomechanical Effects of Different Posterior Fixation Techniques on Stability: A finite element analysis of thoracolumbar burst fractures, focusing on how different posterior fixation techniques impact spinal stability and adjacent segment degeneration.

Corrosion Resistance of Magnesium Alloy Coatings Loaded with Ciprofloxacin: This study investigates coatings for magnesium alloys that enhance corrosion resistance and possess anti-bacterial properties, offering potential applications in orthopedic implants.

Angiogenesis-Osteogenesis Coupling for Bone Regeneration: The use of photocurable 3D printing scaffolds loaded with exosomes to accelerate bone regeneration, focusing on the synergy between angiogenesis and osteogenesis.

Brominated Flame Retardants and Bone Mineral Density: A cross-sectional study examining the effects of brominated flame retardant exposure on bone mineral density in US adults, contributing to the understanding of environmental factors affecting bone health.

Predicting Venous Thromboembolism After Spinal Surgery: A nomogram designed to predict the risk of venous thromboembolism following spinal surgery, aiding in better patient management.

Conclusion

This individual demonstrates a remarkable blend of academic excellence, clinical expertise, leadership, and societal impact, making them a strong candidate for the Research for Outstanding Scientist Award. Their global experience and contributions to spine surgery, coupled with prestigious awards, establish their credibility. Addressing areas such as publication impact and innovative contributions could make their profile even more compelling for this award.

Rakesh Afre | Nanotechnology | Excellence in Research

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Prof. Dr. Rakesh Afre | Nanotechnology | Excellence in Research

Professor at Zeal College of Engineering and Research, Pune

πŸŽ“ Dr. Rakesh A. Afre is a distinguished researcher in nanotechnology with a Ph.D. from Nagoya Institute of Technology, Japan. πŸ“‘ His groundbreaking thesis focused on synthesizing carbon nanotubes via spray pyrolysis and their application in solar cells. 🌞 With extensive global experience, he has contributed to leading-edge research on photovoltaic devices, flexible electrodes, and sustainable energy materials. πŸ… A prolific academic and innovator, Dr. Afre’s work is highly cited, boasting an h-index of 20.

Publication Profile

orcid

scholar

Education πŸŽ“

Ph.D. in Nanotechnology, Nagoya Institute of Technology, Japan (2007) Thesis: Synthesis of Carbon Nanotubes for Solar Cells Β M.Sc. in Physics (Energy Studies), North Maharashtra University, India (2001) Thesis: SnOβ‚‚ Thin Films for Anti-Reflection Coatings B.Sc. in Physics, North Maharashtra University, India (1999)

Professional Experience πŸ‘¨β€πŸ«

Professor, ZCOER Pune (2024-) Project Head, Mirai Japanese Language Center (2024-) Deputy Director, Research & Innovation, Assam down town University (2022-2024 Researcher, Flinders University, Australia (2012-2014 Senior Researcher, KRICT, South Korea (2010-2012) Postdoctoral Fellow, Nagoya Institute of Technology (2007-2010)

Awards & HonorπŸ†

Gold Medal for inventions in nanotechnology, IID 2007 Β Japan Government Scholarship, Nagoya Institute of Technology (2003-2007) Β Reviewer for prestigious journals like Thin Solid Films and Materials Design Member of Materials Research Society (MRS), ACS, and IAENG

Research FocusπŸ”¬

Carbon nanotubes for solar energy and nanotechnology Β Development of organic photovoltaic devices Β Transparent electrodes for flexible applications Nanodroplet pyrolysis for eco-friendly materials

Publications πŸ“–

Title: Transparent conducting oxide films for various applications: A review
Publication: Reviews on Advanced Materials Science, 2018
Citations: 358

Summary: A comprehensive review of transparent conducting oxides (TCOs) used in optoelectronics, photovoltaics, and display technologies. The paper highlights advancements in material properties, fabrication methods, and applications.

Major Contributions:

Eucalyptus Oil as a Precursor

Title: A simple method of producing single-walled carbon nanotubes from a natural precursor: Eucalyptus oil

Publication: Materials Letters, 2007

Citations: 139

Turpentine Oil as a Feedstock

Title: Growth of vertically aligned carbon nanotubes on silicon and quartz substrate by spray pyrolysis of a natural precursor: Turpentine oil

Publication: Chemical Physics Letters, 2005

Citations: 128

Title: Carbon nanotubes by spray pyrolysis of turpentine oil at different temperatures and their studies

Publication: Microporous and Mesoporous Materials, 2006

Citations: 126

Hybrid Solar Cells

Title: Silicon nanowire array/polymer hybrid solar cell incorporating carbon nanotubes

Publication: Journal of Physics D: Applied Physics, 2009

Citations: 89

Hydrogen Storage

Title: Hydrogen storage by carbon materials synthesized from oil seeds and fibrous plant materials

Publication: International Journal of Hydrogen Energy, 2007

Citations: 72

Functionalization of Carbon Nanotubes

Title: Functionalization of multi-walled carbon nanotubes (MWCNTs) with nitrogen plasma for photovoltaic device application

Publication: Current Applied Physics, 2009

Citations: 61

Transparent Electrodes

Title: Highly conductive interwoven carbon nanotube and silver nanowire transparent electrodes

Publication: Science and Technology of Advanced Materials, 2013

Citations: 56

Perovskite Solar Cells

Title: Perovskite Solar Cells: A Review of the Latest Advances in Materials, Fabrication Techniques, and Stability Enhancement Strategies

Publication: Micromachines, 2024

Citations: 44

Conclusion

The candidate is exceptionally qualified for the Research Excellence Award due to their significant contributions to nanotechnology, demonstrated by their academic rigor, impactful research, and leadership in innovation. With strategic efforts in broadening interdisciplinary collaborations, enhancing public engagement, and diversifying research applications, they can further strengthen their standing as a leading figure in the field. Their credentials and achievements make them a compelling nominee for this prestigious recognition.

Dilek Sânmezer Açıkgâz | Tissue engineering | Best Researcher Award

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Dr. Dilek Sânmezer Açıkgâz | Tissue engineering | Best Researcher Award

Phd at Γ‡ukurova University, Turkey

Dr. Dilek SΓΆnmezer AΓ§Δ±kgΓΆz is a Lecturer at Γ‡ukurova 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. SΓΆnmezer has published extensively in SCI-indexed journals and presents regularly at international conferences.

Publication Profile

orcid

πŸŽ“ 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)

πŸ’Ό Experience

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

πŸ† Awards & Honors

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

πŸ”¬ 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 πŸ“–

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 Sânmezer Açıkgâz, Fatma Latifoğlu, Güler Toprak, Münevver Baran

Production of Hydrogel with Alginate and Pericardial Fluid for Use in Tissue Engineering Applications
Γ‡ukurova Üniversitesi MΓΌhendislik FakΓΌltesi Dergisi | 2023-12-28
DOI: 10.21605/cukurovaumfd.1410697
Contributors: Dilek Sânmezer, 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 Sânmezer, Fatma Latifoğlu, Güler Toprak, Münevver Baran

 

Conclusion

Dr. Dilek Sânmezer Açıkgâz 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.