Dr. Vijayata Singh | Genetics and Plant Breeding | Excellence in Research

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Dr. Vijayata Singh | Genetics and Plant Breeding | Excellence in Research

Senior Scientist, ICAR – Central Soil Salinity Research Institute, India

Dr. Vijayata Singh is a dedicated researcher in the field of genetics and plant breeding, with a strong focus on improving crop resilience to salt-affected areas. With a robust academic background and extensive research experience, Dr. Singh has made significant contributions to the development of salt-tolerant varieties of lentil, soybean, and mustard. His work has led to the release of two lentil varieties, PDL-1 and PSL-9, suitable for cultivation in moderate salinity-affected soils. Dr. Singh’s research aims to enhance crop productivity and food security in salt-affected regions.

Professional Profile

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🎓Education

Dr. Vijayata Singh’s educational background includes:
– (link unavailable) in Applied Biotechnology from Sikkim Manipal University of Health, Medical and Technological Sciences, Gangtok (2007)
– (link unavailable) (Ag.) in Genetics and Plant Breeding from Bundelkhand University, Jhansi (2009)
– Ph.D. in Genetics and Plant Breeding from CCS Haryana Agriculture University, Hisar (2014)

💼Experience 

– Scientist at ICAR-Central Soil Salinity Research Institute, Karnal (April 2016 – present)- Scientist at ICAR-National Academy of Agricultural Research Management, Hyderabad (January 2016 – March 2016)His research experience spans various projects focused on genetic improvement of pulse crops for salt tolerance using conventional and molecular breeding approaches.

🔍Research Focus 

Dr. Singh’s research focuses on the genetic improvement of pulses and oilseed crops for salt tolerance. His projects include:- Genetic improvement of lentil for salt tolerance- Development of salt-tolerant soybean genotypes- QTL mapping and marker identification for salinity tolerance in chickpea and lentil

🏅Awards and Honors 

– Recipient of the Best Young Scientist Award-2020- Best Poster Award in DAE-BRNS Life Sciences Symposium- Developed and released two lentil varieties (PDL-1 and PSL-9) for salt-affected areas

 Publications 📚

1. Genetic improvement of Lentil (Lens culinaris Medikus) for salt tolerance using conventional and molecular breeding approaches 📝
2. Development of high-density linkage map and tagging salinity tolerance in lentil using genotyping-by-sequencing approach 🔬
3. Molecular genetic analysis of resistance/tolerance in rice, wheat, chickpea, and mustard including sheath blight complex genomics 🌟
4. QTL mapping and identification of markers linked to salinity tolerance in chickpea (Cicer arietinum L.) 🌿
5. Development of Soybean [Glycine max (L.) Merrill] genotypes for higher yield under Salt Stress 💪
6. Development of Salt Tolerant and High Yielding Indian Mustard (Brassica juncea L. Czern & Coss) Genotypes Using Classical and Modern Breeding Approaches 🌼
7. Genetic improvement of chickpea for salt tolerance through conventional and molecular breeding approaches 🔝
8. Enhancement of genetic potential of Moongbean and Lentil in multi-season and different cropping system adaptation 🌱
9. Development and validation of Multi-trait allele specific SNP panel for high throughput genotyping of breeding populations in Soybean 💻

Conclusion

Dr. Vijayata Singh’s impressive academic background, prolific research output, and significant contributions to crop improvement for salt tolerance make him a strong and suitable candidate for the Young Researcher Award. His ability to tackle complex problems in crop genetics and breeding, coupled with his passion for research, positions him well for future contributions in agricultural science.

Assoc. Prof. Dr Kazem Malmir | Physiotherapy | Best Innovation Award

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Assoc. Prof. Dr Kazem Malmir | Physiotherapy | Best Innovation Award 

Faculty member, Tehrab University of Medical Sciences, Iran

Dr. Kazem Malmir is an Associate Professor in the Physical Therapy Department at Tehran University of Medical Sciences (TUMS). With a strong educational background and extensive research experience, Dr. Malmir has established himself as a leading expert in physical therapy. His research focuses on sports injuries, biomechanics, and rehabilitation. Dr. Malmir has published numerous papers in reputable journals and has presented at international conferences. He is a member of the Iranian Physical Therapy Association and has received awards for his contributions to the field. Dr. Malmir’s commitment to education and research has earned him recognition within the academic community. He continues to inspire and mentor students, sharing his knowledge and expertise to advance the field of physical therapy. 💪

Profile

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🎓 Education

Dr. Kazem Malmir’s educational background includes BSc in Occupational Therapy from Shahid Beheshti University (1999  MSc in Physical Therapy from Tehran University of Medical Sciences (2005) PhD in Physical Therapy from Tehran University of Medical Sciences (2014) His thesis titles demonstrate his research focus on biomechanics, sports injuries, and rehabilitation. Throughout his academic journey, Dr. Malmir has developed a strong foundation in physical therapy, preparing him for his current role as an Associate Professor. 📚

👨‍🔬 Experience

Dr. Kazem Malmir has extensive experience in teaching, research, and clinical practice. As a faculty member at Tehran University of Medical Sciences, he has taught various courses, including kinesiology, biomechanics, and sports injuries. Dr. Malmir has supervised numerous theses and research projects, mentoring students in their academic pursuits. His clinical experience includes working with patients with various conditions, such as sports injuries and neurological disorders. Dr. Malmir’s expertise in physical therapy has led to collaborations with other healthcare professionals, further enhancing his research and clinical practice. 🏥

🔍 Research Interest

His research aims to improve patient outcomes and advance the field of physical therapy. Dr. Malmir’s work has implications for clinical practice, education, and research, contributing to a better understanding of human movement and function. 🔬

🏆 Awards

Dr. Kazem Malmir has received several awards and honors for his contributions to physical therapy Selected young researcher in the physiotherapy department (2022)  Faculty member at Tehran University of Medical Sciences (2014)  Membership in the Iranian Physical Therapy Association (2006) These awards recognize Dr. Malmir’s dedication to research, education, and clinical practice. His achievements demonstrate his commitment to advancing the field of physical therapy and improving patient care. 💪

📚 Publications

1. Comparing Effects of Caffeine and Total Motion Release Technique on Cognitive, Neuromuscular, and Anaerobic Function in Semi‐Professional Male Sprinters: A Randomized Controlled Trial 📊
2. The Effect of Core Stabilization Exercises Compared to Balance Training on Proprioception and Dynamic Balance in Healthy Female Amateur Soccer Players: A Randomized Controlled … ⚽️
3. Postural stability measures as diagnostic tools for chronic ankle instability: a comprehensive assessment 🏥
4. Effects of three sessions of diaphragmatic myofascial release on pain, balance and quality of life in patients with Chronic nonspecific low back pain (A regional … 🧘
5. Comparative Efficacy of Vestibular Rehabilitation, Noisy Galvanic Vestibular Stimulation, and Their Combination on Postural Control, Dizziness, Anxiety, and Depression in … 🎧
…
6. The effect of muscle fatigue on knee flexor to extensor torque ratios and knee dynamic stability 🏋️‍♂️

Conclusion

Dr. Kazem Malmir’s extensive research experience, published articles, and academic achievements make him a strong candidate for the Best Researcher Award. With continued development and refinement, he has the potential to make significant contributions to the field of physical therapy and rehabilitation.

YASHWANTH H L | Composite samples | Best Researcher Award

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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

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🎓 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

Wonder Dlamini | Environmental Science | Best Researcher Award

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Dr. Wonder Dlamini | Environmental Science | Best Researcher Award

Researcher, National Yang Ming Chiao Tung University, Taiwan

Dr. Wonder Nathi Dlamini is a researcher, educator, and innovator specializing in environmental science, nanotechnology, and microbial research. He holds a Ph.D. in Environmental Science and Technology from NYCU and an MSc in Soil and Environmental Sciences from NCHU. His work focuses on sustainable technologies for global challenges.

Profile

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Education 🎓

Dr. Dlamini holds a Ph.D. in Environmental Science and Technology from National Yang Ming Chiao Tung University (NYCU) and an MSc in Soil and Environmental Sciences from National Chung Hsing University (NCHU). He received multiple scholarships, grants, and awards during his studies.

Experience 💼

Dr. Dlamini has experience as a Research Assistant, Teaching Assistant, and Project Director at NYCU. He has also worked as an Educator at American Eagle Institute and as a Chief Teaching Assistant and Research Assistant at NCHU. Additionally, he has industry experience as a Supervisor of Operations and Educator at TECH TOOL 2000 (PTY) LTD.

Awards and Awards 🏆

Dr. Dlamini has received several awards and honors, including the Best Researcher Award, Outstanding Research Achievement Award, and Outstanding Reviewer Certificates. He has also received research grants, travel grants, and scholarships from various organizations.

Research Focus

Dr. Dlamini’s research focuses on environmental science, nanotechnology, and microbial research. He explores sustainable technologies for global challenges, including air and water pollution, climate change, and public health.

Publications 📚

1. Exploring the Interaction Dynamics of Growth-Promoting Bacterial Endophytes and Fertilizer on Oryza sativa L. Under Heat Stress
2. Unveiling the Thermotolerance and Growth-Promoting Attributes of Endophytic Bacteria Derived from Oryza sativa: Implications for Sustainable Agriculture
3. Enhanced Removal of Viral Aerosols Using Nanosilver/TiO2-Chitosan Filters Combined with a Negative Air Ionizer
4. Assessment of Air Pollution Emitted During Cooking in Shiselweni, Eswatini
5. Effectiveness of Oil-Free Cooking in Reducing Air Pollutants from Meat Cooking
6. The Journey to Gratification and Self-Discovery
7. A Step to Be Taken (2nd Ed.)
8. Rise Above: Transforming Toxicity into Triumph

Conclusion

Dr. Wonder Nathi Dlamini is an exceptional researcher with a strong track record of interdisciplinary research, international recognition, leadership, and collaboration. His commitment to policy recommendations, public engagement, and advancing sustainable technologies demonstrates his dedication to creating positive societal impact. While there are areas for improvement, Dr. Dlamini’s strengths make him an ideal candidate for the Best Researcher Award.

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.

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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) 🏆 National Natural Science Foundation of China Grant (2019, 2023) 📜 Best Paper Award – Advanced Materials (2022) 🏅 Shanghai STCSM Innovation Grant (2018-2021) 💡 Highly Cited Researcher – Clarivate Analytics (2021, 2023) 📖 Outstanding Young Scholar Award – Anhui University (2020) 🎓 Editorial Board Member – Frontiers in Materials (Nanoelectronics Section) 📝 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. 🚀

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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🎓 Education 

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.

💼 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.

🏆 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.

🔬 Research Focus 

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

 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.

📹 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.

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🎓 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.

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. 🎓 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. 📚 Recognized with prestigious awards, he has held leadership roles in KSME, KASE, and KSCFE. 🔬 His influence spans academia, industry, and engineering societies, making him a pioneer in fluid dynamics research. 🌍

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Education 🎓

Ph.D. in Mechanical Engineering, KAIST, South Korea (1991) 🏆 Focused on thermal-fluid flow and CFD modeling, advancing numerical simulations in fluid dynamics. 💡M.E. in Mechanical Engineering, KAIST, South Korea (1985) 📊 Specialized in computational modeling and flow analysis, contributing to advanced engineering applications. 🚀B.E. in Mechanical Engineering, Kyungpook National University, South Korea (1983) 🔧 Developed a strong foundation in mechanical systems, thermodynamics, and aerodynamics, shaping future research in flow dynamics. 🌪️

Professional Experience 🏢

Professor, Kyungpook National University (1994 – Present) 👨‍🏫 Leading fluid dynamics research and mentoring future engineers. 🎯Team Manager, Agency for Defense Development (ADD) (1991 – 1994) 🛩️ Spearheaded small jet engine development and military propulsion technology. 💨Visiting Professor, University of Cambridge (1996 – 1997) 🇬🇧 Collaborated on aerodynamic research in turbulence and flow modeling. 📈Visiting Professor, University of Tennessee (2005 – 2006) 🇺🇸 Advanced CFD applications in thermal-fluid sciences. 🔥Vice Dean, College of Engineering, KNU (2007 – 2008) 📌 Strengthened academic programs in mechanical and automotive engineering. 🏗️Director, Industrial-University Consortium Center (2007 – 2008) 🔄 Enhanced industry-academic collaboration for applied mechanical research. 🏭

Awards & Honors 🏆

Outstanding Paper Award, Korean Society for Computational Fluid Engineering (2010) 📜 Recognized for excellence in CFD-based thermal-fluid research. 🔥Best Paper Award, Korean Society of Mechanical Engineers (2010) ✨ Acknowledged for groundbreaking contributions to mechanical engineering innovations. 🚗Advisor of Winning Team, National Fluid Engineering Competition (2010) 🏅 Mentored students in a national-level fluid mechanics challenge. 🎯Outstanding Portfolio Instructor, KNU (2010) 👏 Honored for exceptional teaching in mechanical and aerospace engineering. 📖Invited Speaker, IBCAST (2016) & FMFP (2017) 🎤 Shared insights on fluid mechanics, CFD, and turbulence modeling in global conferences. 🌎

Research Focus 🔬

Computational Fluid Dynamics (CFD) 🖥️ Developing high-precision simulations for thermal-fluid flows, aerodynamics, and turbulence modeling. 🌪️Particle Image Velocimetry (PIV) Measurement 📸 Enhancing fluid flow visualization techniques for experimental validation of CFD models. 💡Flow-Induced Vibration (FIV) 🔊 Investigating structural interactions with fluid flow for safer, more efficient engineering systems. 🏗️Aerospace & Automotive Applications 🚀 Designing advanced propulsion systems, aerodynamic vehicles, and jet engines. ✈️Thermal-Fluid System Optimization ⚡ Improving cooling systems, energy efficiency, and industrial heat transfer mechanisms. 🔥

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

🎓 Education

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

💼 Experience

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

🏆 Awards & Honors

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

🔬 Research Focus:

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

Publications

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

Conclusion

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

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

🎓 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. 🏗️ 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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Education🎓

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. 📚 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 💼

As a BIM Modeler at Agourconstruction (Dec 2020–Feb 2024), Mohammadmahdi specialized in Revit-based architectural drafting, quantity surveying, and cost estimation. 📊 His role extended to supervision assistance and resident engineering, ensuring project execution met quality standards. 🏗️ 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 🏅

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 🔬

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. 📖 His publications include experimental and numerical investigations of magnetic field effects, aiming to improve concrete’s durability and magnetization. 💡 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 📖

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.