Month: July 2025

🎓 Education Background

Ashutosh Singh has a strong academic foundation in mechanical and materials engineering. He is currently pursuing his Ph.D. in Material Science at Georgia Tech-CNRS IRL 2958, University of Lorraine, France (2022–2025), focusing on microstructure development in additive manufacturing. He earned a Master’s in Mechanical Engineering from Politecnico di Milano, Italy (2017–2019), with a specialization in advanced materials and manufacturing, where he worked on selective laser melting of pure copper. His undergraduate degree, a B.E. in Mechanical Engineering, was completed at Ramaiah Institute of Technology, India (2012–2016), where he was recognized as a top-performing student.

🧑‍💼 Professional Experience

Ashutosh Singh is currently a Research Scientist at CNRS-IRL 2958, France, where he investigates microstructural evolution during SLM processes. Prior to this, he served as an R&D Engineer and Product Manager at Prima Additive, Italy (2020–2022), leading key projects such as the development of dual-laser and quad-laser SLM systems. His engineering journey began with roles at Britannia Industries and Bosch India Limited, where he contributed to plant efficiency and automation systems. With hands-on experience in machine design, process optimization, and cross-functional project management, Ashutosh bridges academic research with real-world industrial innovation.

🏅 Awards and Honors

Ashutosh Singh has received numerous accolades for his academic and research excellence. He is a recipient of the prestigious Marie Skłodowska-Curie Grant under Agreement No. 956401 and the “Invest Your Talent in Italy” grant awarded by the Italian Ministry of External Affairs. During his undergraduate years at MSRIT, he won the Achiever’s Award as the best outgoing student and also received the Best Final Year Project Award. He holds multiple merit certificates and has represented academic teams in several competitive events like SAE BAJA and international go-kart competitions, showcasing his versatile and high-performing profile.

🔍 Research Focus

Ashutosh Singh’s research is centered on the development and modeling of advanced additive manufacturing processes, particularly Selective Laser Melting (SLM). He explores the influence of laser parameters on microstructure evolution in materials such as Ti6Al4V, Inconel 718, and High Manganese Steel. His doctoral thesis focuses on modeling microstructure development during SLM to predict and enhance material performance. Ashutosh is also actively involved in designing innovative laser systems and inert gas flow mechanisms to ensure process stability and part integrity. His work bridges theoretical modeling with experimental validation, pushing forward the capabilities of next-gen manufacturing.

📌 Conclusion

Ashutosh Singh stands out as a dynamic Research Engineer who combines academic rigor with real-world impact. His multidisciplinary background, spanning mechanical design, material science, and laser engineering, makes him a valuable contributor to the field of additive manufacturing. With a solid track record in both research and industry, supported by prestigious grants and recognitions, he continues to pioneer solutions that redefine manufacturing standards. Whether through developing next-gen laser systems or advancing microstructure modeling, Ashutosh remains committed to innovation and excellence in engineering research and development.

📚 Publications – Top Notes

Processability of pure Cu by LPBF using a ns-pulsed green fiber laser
Published Year: 2022
Journal: Optics & Laser Technology
Cited by: 28 articles
Summary: Demonstrated successful LPBF processing of pure copper using green laser and detailed process parameter optimization.
An overview of processing and properties of Cu/CNT nano composites
Published Year: 2017
Journal: Materials Today: Proceedings
Cited by: 63 articles
Summary: Reviewed composite formation of Cu and CNTs, highlighting challenges and enhancements in mechanical and thermal properties.
Development of the selective laser melting process for pure copper with a green laser
Published Year: 2019
Institutional Repository (Thesis – Politecnico di Milano)
Cited by: N/A (Thesis)
Summary: Presented full-scale development of green laser-based SLM system for pure copper with over 98% density achieved.

Nikoletta Nteka | Economy | Best Researcher Award

Published on 09/07/202509/07/2025 by Computer Scientists Awards

Dr. Nikoletta Nteka | Economy | Best Researcher Award

Lecturer at International Hellenic University, Greece

Dr. Nikoletta Nteka is a Lecturer at the International Hellenic University and a seasoned economist with a PhD from SWU “Neofit Rilski.” With over 20 years of experience in public finance, accounting, and education, she bridges academic research with real-world financial consulting. Her work focuses on the economic impact of crises, digital transformation in public administration, and internal auditing. She has authored multiple peer-reviewed publications and actively integrates technology into teaching and fiscal analysis. Through her roles in secondary and tertiary education, she promotes innovation in economic education and contributes to policy-oriented research in public sector economics.

📚Professional Profile

Orcid

🎓Academic Background

Dr. Nikoletta Nteka holds a PhD in Economics from SWU “Neofit Rilski” (2023), complemented by two Master’s degrees in Financial Accounting and Auditing. Her academic foundation is strongly rooted in applied economics and public finance, with a focus on digital transformation. With over two decades of experience, she combines academic theory with practical financial expertise, particularly in public sector management and internal auditing. As a lecturer at the International Hellenic University and a secondary education professor, she integrates digital tools into both teaching and research. Her educational journey reflects a commitment to modernizing economic education and public finance practices.

💼Professional Experience

Dr. Nikoletta Nteka has over 20 years of professional experience in accounting, public finance, and education. She currently serves as a lecturer at the International Hellenic University through the Academic ESPA Program and teaches economics at the Experimental High School of Kilkis. From 2005 to 2018, she worked as an independent financial consultant, offering services in digitalized accounting, tax planning, and public sector budgeting. Her consultancy work included feasibility studies and funding strategies under national and EU development programs. Dr. Nteka’s expertise bridges academic research with practical solutions in fiscal policy, digital governance, and public administration reform.

🏆Awards and Honors

Dr. Nikoletta Nteka has been recognized for her impactful contributions to economics and public finance through her academic roles and research initiatives. Her scholarly work on the economic impact of COVID-19 and public sector auditing has received acknowledgment in peer-reviewed journals and academic forums. While she has not listed formal individual awards, her active participation in national conferences, academic collaborations, and the ESPA Program highlights her professional excellence. Her integration of digital tools in public finance and education demonstrates a forward-thinking approach that continues to gain recognition among academic and policy-making communities in Greece and internationally.

🔬Research Focus

Dr. Nikoletta Nteka’s research centers on the intersection of economics, public finance, and digital transformation. Her primary focus includes the economic impact of pandemics, particularly COVID-19, public sector auditing, and strategies for economic resilience and recovery. She conducts empirical studies on fiscal policy, public health finance, and internal auditing in government institutions. Her work also explores the role of digital tools in economic education and governance, promoting evidence-based decision-making. Through her publications and academic contributions, Dr. Nteka aims to modernize public administration and support transparent, technology-driven economic systems that address contemporary policy and societal challenges.

📋Publication Top Notes

COVID-19 Pandemic Crisis: Turning the Health Crisis into an Economic Crisis
📘 Year: 2025

COVID-19 and International Trade: Examining the Pandemic’s Impact on Globalization
🌍 Year: 2023

Rebounding from the Crisis: Strategies for Economic Recovery in the Post-COVID-19 World
📈 Year: 2023

Economic Effects of COVID-19 Pandemic and Potential Solutions
💹 Year: 2021

COVID-19 Impact on Greece’s Health Sector
🏥 Year: 2021

Crises Analysis and Management
⚠️ Year: 2021

🏷️Conclusion

In conclusion, Dr. Nikoletta Nteka emerges as a highly qualified and impactful candidate for the Research for Best Researcher Award, with a strong academic background that includes a PhD in Economics and two Master’s degrees. Her research portfolio, focused on crisis economics, public finance, and digital transformation, is both timely and socially relevant. With over 20 years of experience in financial consultancy and education, she successfully bridges theory and practice. Her publications in peer-reviewed journals, involvement in EU-funded projects, and active roles in both secondary and higher education underscore her commitment to innovation, policy relevance, and academic excellence.

Šarūnas Skuodis | Geotechnics | Best Researcher Award

Published on 09/07/202509/07/2025 by Computer Scientists Awards

Assoc. Prof. Dr. Šarūnas Skuodis | Geotechnics | Best Researcher Award

Assoc. Prof. Dr. Šarūnas Skuodis , Department of Reinforced Concrete Structures and Geotechnics , Vilnius Gediminas Technical University , Lithuania.

Šarūnas Skuodis is a distinguished Lithuanian academic and civil engineering expert serving as an Associate Professor at Vilnius Gediminas Technical University. With deep expertise in geotechnics and reinforced concrete structures, he leads key research initiatives and contributes actively to scientific advancement. His dynamic leadership as the Director of the Civil Engineering Research Centre and involvement in numerous international engineering associations reflect his broad impact on engineering education and research. His contributions span teaching, scholarly publications, and international project leadership, positioning him as a notable figure in European civil engineering.

Publication Profile

🎓 Education Background

Šarūnas Skuodis holds a comprehensive academic background in civil engineering, all earned from Vilnius Gediminas Technical University. He began with a Bachelor’s degree in 2009 and progressed to a Master’s degree in 2011, followed by earning his PhD in Technology Sciences (Civil Engineering) in 2015. His academic excellence was further recognized with the title of Associate Professor in 2019. His deep theoretical and applied understanding of soil mechanics, geotechnics, and foundation engineering is the cornerstone of his contributions to research and academia.

💼 Professional Experience

Dr. Šarūnas Skuodis boasts an impressive academic and research career at Vilnius Gediminas Technical University. Since 2015, he has served as the Director of the Civil Engineering Research Centre. He is also Vice-Dean of the Faculty of Civil Engineering since 2022 and Associate Professor in the Department of Reinforced Concrete Structures and Geotechnics since 2017. Earlier, he held various leadership roles in geotechnical laboratories and engineering departments. His extensive involvement in soil research, project management, and teaching has positioned him as a vital contributor to Lithuania’s engineering education system.

🏅 Awards and Honors

Šarūnas Skuodis received the prestigious Young Scientist Award from the Lithuanian Academy of Sciences in 2016 for his work on soil property changes and base behavior prediction. He is a member of elite organizations such as the Lithuanian Academy of Sciences Young Academy and has been elected President of the European Civil Engineering Education and Training Association (EUCEET) in 2024. His consistent contributions to engineering research have earned him committee leadership roles in major international conferences, reflecting both national and international recognition of his work.

🔬 Research Focus

Dr. Skuodis’s research centers on geotechnical engineering, soil behavior, and foundation design. His work explores non-destructive testing of aged structures, cyclic soil loading, geogrid-reinforced soil, and slope stability modeling. He also integrates digital simulations and experimental testing in civil engineering practices. His supervision of PhD research on soil reinforcement and cyclic behavior illustrates his mentorship in advanced geotechnical studies. His active involvement in EU projects like Skills4Deca and Centers of Excellence highlights his engagement in climate-resilient infrastructure and decarbonization skills development.

🧾 Conclusion

Šarūnas Skuodis is an influential civil engineer, academic leader, and internationally recognized researcher in geotechnical engineering. With a strong academic foundation, extensive teaching record, and impactful research portfolio, he exemplifies excellence in science and education. His role in shaping engineering standards, mentoring future researchers, and leading international collaborations confirms his suitability for prestigious research recognitions and awards.

📚 Top Publication Notes

Increasing Deformation Energy Absorption of AM Drone Fuselages Using a Low-Density Polymeric Material – Applied Sciences, 2025
🔹 Cited by: 2 articles (as of July 2025)
🔹 Focus: Materials engineering for impact-resistant structures
Application of Non-Destructive Methods for Bored Concrete Piles Installed 34 Years Ago – Case Studies in Construction Materials, 2024
🔹 Cited by: 3 articles
🔹 Focus: Structural integrity using non-invasive analysis
Triaxial Test of Coarse-Grained Soils Reinforced with One Layer of Geogrid – Applied Sciences, 2023
🔹 Cited by: 4 articles
🔹 Focus: Geogrid reinforcement behavior in coarse soil
Predictive Stress Modeling of Resilient Modulus in Sandy Subgrade Soils – Infrastructures, 2023
🔹 Cited by: 5 articles
🔹 Focus: Stress modeling for subgrade performance
Gediminas Hill Slopes Behavior in 3D Finite Element Model – Buildings, 2022
🔹 Cited by: 6 articles
🔹 Focus: Landslide risk modeling using FEM
Indirect Determination of Soil Young’s Modulus in Lithuania Using Cone Penetration Test Data – Baltic Journal of Road and Bridge Engineering, 2022
🔹 Cited by: 2 articles
🔹 Focus: Non-invasive modulus estimation
Compressive Strength and Thermal Properties of Sand–Bentonite Mixture – Open Geosciences, 2021
🔹 Cited by: 3 articles
🔹 Focus: Mixture properties for civil use
The Engineering Geological and Geotechnical Conditions of Gediminas Hill – Geological Quarterly, 2021
🔹 Cited by: 4 articles
🔹 Focus: Case study on slope stability
Using Triaxial Tests to Determine the Shearing Strength of Geogrid-Reinforced Sand – Studia Geotechnica et Mechanica, 2020
🔹 Cited by: 2 articles
🔹 Focus: Laboratory-based triaxial testing
The Behaviour of Stress Variation in Sandy Soil – Open Geosciences, 2022
🔹 Cited by: 2 articles
🔹 Focus: Stress variation analysis in granular soils

Zhe Zhang | Spatiotemporal Prediction | Young Scientist Award

Published on 09/07/202509/07/2025 by Computer Scientists Awards

Dr. Zhe Zhang | Spatiotemporal Prediction | Young Scientist Award

Dr. Zhe Zhang, Lecturer, Henan Institute of Engineering, China.

Dr. Zhe Zhang is a prominent researcher in deep learning and spatio-temporal forecasting, currently affiliated with the School of Earth Sciences at Zhejiang University, China. He is actively involved in innovative AI applications in meteorology and remote sensing. With a growing body of work cited by over 110 documents, he demonstrates a focused commitment to developing neural networks for environmental forecasting and image analysis. His interdisciplinary expertise bridges geosciences and computational intelligence, contributing to high-impact journals. Holding dual emails at Zhejiang University and Henan University, he engages in both academic teaching and collaborative research initiatives in cutting-edge Earth system modeling.

Publication Profile

🎓 Education Background

Dr. Zhe Zhang pursued his academic training in geosciences and computational systems, earning advanced degrees that laid a strong foundation for his AI-focused research. His studies incorporated remote sensing technologies, deep learning algorithms, and meteorological applications. Through rigorous training and collaborative research, he mastered the integration of artificial intelligence into Earth observation systems. His educational background reflects a combination of scientific depth and technical sophistication, which is evident in his contribution to top-tier SCI journals. His academic journey continues to influence his methodological innovation in spatio-temporal analysis and high-resolution image modeling.

💼 Professional Experience

Zhe Zhang serves as a faculty member at the School of Earth Sciences, Zhejiang University, and collaborates with the Zhejiang Provincial Key Laboratory of Geographic Information Science. His professional experience spans neural networks, geoscience research, and academic instruction. With affiliations to both Zhejiang University and Henan University, Dr. Zhang brings a dynamic perspective to interdisciplinary projects. He has authored numerous SCI-indexed papers and contributes to national and international research efforts. His role extends to mentoring students and leading projects in climate prediction, satellite image processing, and intelligent modeling of environmental phenomena using AI.

🏆 Awards and Honors

Dr. Zhang has received recognition for publishing in highly reputed journals such as IEEE Transactions on Geoscience and Remote Sensing and Knowledge-Based Systems, both ranking in the SCI Tier 1 category. His research on tropical cyclone prediction and image super-resolution has gained acclaim for technical innovation. Although formal award titles are not listed, being the corresponding author or co-author on multiple TOP-ranked publications highlights his academic excellence. His work has gained citations globally, affirming his reputation in the field of remote sensing and AI-enhanced forecasting systems.

🔬 Research Focus

Dr. Zhang’s research lies at the intersection of deep learning and spatio-temporal forecasting, with a core emphasis on tropical cyclone intensity prediction, remote sensing image enhancement, and disaster detection using neural networks. His models incorporate temporal encoding and generative adversarial networks (GANs) to process complex satellite and aerial imagery data. His work enhances the predictive accuracy of storm trajectories and damage assessment tools. He also contributes to GPU-based acceleration of remote sensing processing, expanding computational efficiency in image analytics. His evolving research continues to push boundaries in data-driven Earth science modeling.

📚 Conclusion

With a solid foundation in Earth sciences and deep learning, Dr. Zhe Zhang has emerged as a key figure in environmental AI research. His contributions have advanced the precision of cyclone tracking and image super-resolution, earning recognition from the academic community. Operating across Zhejiang and Henan Universities, he reflects the interdisciplinary momentum shaping modern geosciences. As citations and collaborations grow, his work continues to influence climate modeling, disaster response strategies, and AI-integrated Earth observation technologies, making him a valuable contributor to the scientific community.

📘 Top Publications

Single Remote Sensing Image Super-Resolution via a GAN With Stratified Dense Sampling and Chain Training
IEEE Transactions on Geoscience and Remote Sensing, 2024
🔹 Cited by: 3 articles
🔹 Scopus ID: 57419777900
A Neural Network With Spatiotemporal Encoding Module for Tropical Cyclone Intensity Estimation
Knowledge-Based Systems, 2022
🔹 Cited by: 18 articles
A Neural Network Framework for Fine-Grained Tropical Cyclone Intensity Prediction
Knowledge-Based Systems, 2022
🔹 Cited by: 16 articles
Typhoon Cloud Image Prediction Based on an Enhanced Multi-scale Deep Neural Network
Frontiers in Marine Science, 2022
🔹 Cited by: 11 articles
Identifying Damaged Buildings in Aerial Images Using Object Detection Method
Remote Sensing, 2021
🔹 Cited by: 20 articles
A Dynamic Acceleration Method for Remote Sensing Image Processing Based on CUDA
Wireless Networks, 2021
🔹 Cited by: 15 articles

Gaber Hassan | Internet of Things | Best Researcher Award

Published on 09/07/202509/07/2025 by Computer Scientists Awards

Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
🔗 Fractal and Fractional, 2025
📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
📘 Journal: Fractal and Fractional
Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
🔗 Fractal and Fractional, 2023
📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
📘 Journal: Fractal and Fractional
Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
🔗 IEEE Access, 2023
📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
📘 Journal: IEEE Access
New Set of Invariant Quaternion Krawtchouk Moments
🔗 International Journal of Image and Graphics, 2022
📅 Year: 2022 | Cited by: [2+ articles]
📘 Journal: IJIG
Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
🔗 IEEE Access, 2020
📅 Year: 2020 | Cited by: [17+ articles]
📘 Journal: IEEE Access
Efficient Quaternion Moments for Representation of Biomedical Color Images
🔗 Biomedical Engineering: ABC, 2020
📅 Year: 2020 | Cited by: [11+ articles]
📘 Journal: Biomedical Engineering: Applications, Basis and Communications
Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
🔗 ESTIJ, 2013
📅 Year: 2013 | Cited by: [3+ citations]
📘 Journal: Engineering Science and Technology: An International Journal
Mathematical Modeling and Classification of Viruses from Herpesvirus Family
🔗 IJCA, 2014
📅 Year: 2014 | Cited by: [8+ citations]
📘 Journal: International Journal of Computer Applications

Peter Hristov | biology | Best Researcher Award

Published on 08/07/202508/07/2025 by Computer Scientists Awards

Prof. Dr. Peter Hristov | biology | Best Researcher Award

Prof. Dr. Peter Hristov, Institute of Biodiversity and Ecosystem Research – Bulgarian Academy of Sciences (IBER-BAS), Bulgaria.

Prof. Dr. Peter Ivanov Hristov is a prominent Bulgarian scientist currently serving as a Professor at the Institute of Biodiversity and Ecosystem Research (IBER), Bulgarian Academy of Sciences. With over a decade of impactful research in biochemistry and molecular biology, Prof. Hristov has significantly contributed to the understanding of animal diversity and genetics. He is widely recognized for his leadership in various national and international scientific projects. With an H-index of 11 and more than 500 citations, his work is widely referenced across the global research community. He has authored over 79 scientific publications, 55 of which are in high-impact journals.

Publication Profile

🎓 Education Background

Prof. Hristov completed his Master’s degree from Trakia University and later pursued a Ph.D. from the Institute of Biology and Immunology of Reproduction at the Bulgarian Academy of Sciences. His academic path is strongly rooted in molecular biology and biochemistry, with a focus on biodiversity and population studies. His advanced education set a solid foundation for his long-standing academic career and contributions to animal diversity and molecular ecology. Prof. Hristov’s education has been enriched by specialized international collaborations and programs that broadened his research expertise.

🧑‍🏫 Professional Experience

Prof. Hristov’s academic career spans over 15 years at the Institute of Biodiversity and Ecosystem Research – BAS. He began as Chief Assistant (2010–2015), advanced to Associate Professor (2015–2021), and has been serving as Professor since 2021. Throughout these years, he has led groundbreaking studies in taxonomy, molecular genetics, and animal population structure. He also played a key role in European collaborative projects like the Sixth Framework Programme – DeLiver (2007–2011). His leadership and research coordination have contributed to national and international scientific advancements.

🏅 Awards and Honors

Prof. Peter Hristov’s excellence in research is recognized through numerous academic and institutional honors. He is actively involved in leading scientific societies and research networks. He has also coordinated projects funded by the Bulgarian National Science Fund, demonstrating trust in his expertise and leadership. While specific individual awards were not listed, his consistent funding, project leadership, and publication in high-impact journals highlight his respected status in the academic world.

🔬 Research Focus

Prof. Hristov’s primary research domains include biochemistry, molecular biology, and taxonomic studies, with a special emphasis on population structure in animals. Additionally, he explores bioinformatics and the statistical interpretation of molecular data to support biodiversity monitoring and conservation. His recent projects have applied DNA barcoding and eDNA metabarcoding to evaluate honey bee health and safety in bee products, as well as the genetic structure of local Bulgarian sheep breeds. His multi-disciplinary approach bridges classical taxonomy with modern molecular tools.

🧾 Conclusion

Prof. Dr. Peter Hristov stands out as a dedicated and influential researcher in molecular biology and biodiversity. Through international collaborations, leadership roles, and impactful publications, he contributes to scientific progress and conservation efforts. His work continues to inspire and pave the way for new approaches in animal genetics and ecosystem research.

📚 Top Publications Notes

Composition and diversity of bacterial communities associated with honey bee foragers from two contrasting environments
Bulletin of Entomological Research, 2023
Cited by: 10+ articles
Molecular Detection and Phylogenetic Analysis of Deformed Wing Virus and Sacbrood Virus Isolated from Pollen
Veterinary Sciences, 2023
Cited by: 12+ articles
Genetic diversity and subpopulation structure of Bulgarian mountainous sheep breeds
Small Ruminant Research, 2023
Cited by: 8+ articles
Mitochondrial DNA sequencing of Hungarian Nonius horse breed and relatives
Animal Biotechnology, 2023
Cited by: 15+ articles
Sequence analysis of mtDNA reveals horse domestication centers
Journal of Equine Veterinary Science, 2022
Cited by: 7+ articles
Microsatellite Genotyping of Two Bulgarian Sheep Breeds
Diversity, 2022
Cited by: 5+ articles
Molecular Detection of Nosema spp. in Honey in Bulgaria
Veterinary Sciences, 2022
Cited by: 6+ articles
Application of Natural Products to Reduce Honey Bee Colony Losses
Diversity, 2021
Cited by: 10+ articles
Honey Bee Colony Losses: Why Are Honey Bees Disappearing?
Sociobiology, 2021
Cited by: 11+ articles
Factors Associated with Honey Bee Colony Losses: A Mini-Review
Veterinary Sciences, 2020
Cited by: 20+ articles

Jian Bi | Sensometrics | Innovative Research Award

Published on 07/07/202507/07/2025 by Computer Scientists Awards

Mr. Jian Bi | Sensometrics | Innovative Research Award

Mr. Jian Bi, Consultant, Sensometrics Research and Service, United States.

Jian Bi is a renowned expert in sensometrics, with a career spanning decades in sensory and consumer product analysis. He served as Senior Statistician at the Institute for Perception in Virginia, USA, and is now an independent consultant providing statistical expertise to major companies like PepsiCo, Heinz, and Kraft Foods. He has authored or coauthored over 100 peer-reviewed papers and three seminal books. Jian Bi’s work has significantly influenced the field of sensory evaluation through methodological advancements and deep empirical insights, earning him high respect in food science and statistical research circles.

Publication Profile

🎓 Education Background

Jian Bi’s academic journey is rooted in mathematical statistics and sensory science, with foundational training in China before moving into internationally impactful work. Though exact degree details are not publicly listed, his early scholarly work in China includes developing national standards on sensory analysis, anthropometry, and statistical methodology, showing a strong foundation in applied statistics and experimental design. His transition to global sensometrics leadership underscores a robust educational background likely anchored in quantitative disciplines, setting the stage for a prolific academic and consulting career.

💼 Professional Experience

Jian Bi’s professional career began in China, where he helped draft national standards for sensory and statistical methods. Between 1996 and 2000, he worked as Senior Statistician at the Institute for Perception in Richmond, VA. Since 2000, he has provided independent consulting services through Sensometrics Research and Service. His consulting clients include industry leaders like Mondelez, Amway, Campbell Soup Company, and Wrigley. He has served as an author, speaker, and mentor, applying advanced statistical models to real-world sensory evaluation, making him a pivotal figure in both academic and corporate research environments.

🏅 Awards and Honors

Jian Bi has received numerous honors recognizing his pioneering work in sensometrics and statistical modeling. Several of his publications were selected for Best Paper Awards by prominent international organizations. He was honored by MATHEMATICS 2023 for his work in analytical psychometric modeling and received accolades from Research Insights and the Content Marketing Institute for outstanding contributions. In China, his work on national sensory and statistical standards received second and third prizes for national excellence in standards. His impact has been acknowledged globally across both academic and applied sensory fields.

🔬 Research Focus

Jian Bi’s research focuses on sensory discrimination methods, statistical modeling of sensory and consumer data, and psychometric theory application. He is widely recognized for applying and expanding Thurstonian models, forced-choice methods, and sensory similarity testing. His research often explores test validity, performance reliability, and method efficiency. Collaborating with industry and academia, Bi has developed models for methods such as Duo-Trio, Triangle, and 4I2AFC, and innovated in functional data analysis for time-intensity evaluation. His commitment to quantitative rigor has made his models industry standards in sensory testing.

📌 Conclusion

Jian Bi’s contributions to the field of sensometrics and sensory statistics are profound and enduring. With a distinguished career bridging research, consulting, and standard-setting, his work has shaped the way sensory evaluations are designed, executed, and interpreted. His publications remain foundational texts in the field, and his influence spans continents and industries. Through continued publication, collaboration, and consulting, Jian Bi continues to push the boundaries of sensory science, making him an exemplary candidate for research-based honors and accolades.

📚 Top Publications

Sensory Discrimination Tests and Measurements: Sensometrics in Sensory Evaluation (2nd Ed.) – Wiley, 2015
Published Year: 2015 | Publisher: Wiley
Cited by: 400+ articles (est.)
Statistical Methods in Food and Consumer Research – Elsevier, 2008
Published Year: 2008 | Publisher: Academic Press
Cited by: 500+ articles
Thurstonian Scaling for Sensory Discrimination Methods – Applied Sciences
Published Year: 2025 | Journal: Applied Sciences
Cited by: 20+ articles
Product effect size estimation for CATA and TCATA data – Food Quality and Preference
Published Year: 2025 | Journal: Food Quality and Preference
Cited by: 15+ articles
Time-Intensity Evaluation of Menopause Supplements – Food Quality and Preference
Published Year: 2024 | Journal: Food Quality and Preference
Cited by: 10+ articles
The methods of Tetrads, Hexads, and Octads – Food Quality and Preference
Published Year: 2023 | Journal: Food Quality and Preference
Cited by: 40+ articles
An Analytical Psychometric Function for DRDT – Food Quality and Preference
Published Year: 2022 | Journal: Food Quality and Preference
Awarded: MATHEMATICS 2023
Using Demographics and Psychographics with Nutrient Supplements – Foods MDPI
Published Year: 2021 | Journal: Foods (MDPI)
Cited by: 60+ articles
FDA for Sensory Time-Intensity – Journal of Sensory Studies
Published Year: 2020 | Journal: Journal of Sensory Studies
Cited by: 35+ articles
The 4I2AFC Sensory Discrimination Method – Food Quality and Preference
Published Year: 2019 | Journal: Food Quality and Preference
Cited by: 70+ articles

Hyunseok Kim | Internet of Drones | Best Researcher Award

Published on 07/07/202507/07/2025 by Computer Scientists Awards

Assist. Prof. Dr. Hyunseok Kim | Internet of Drones | Best Researcher Award

Assist. Prof. Dr. Hyunseok Kim, Dept.of Information and Security, South Korea.

Dr. Hyun-Seok Kim is a distinguished computer scientist and cybersecurity expert from the Republic of Korea, currently serving as the Head of the Department of Information Security at ICT Polytechnic University. With over two decades of experience in IT auditing, formal verification, and secure systems research, he has contributed immensely to both governmental cyber safety and academic excellence. Dr. Kim is a prolific author and patent holder, with specialized expertise in RFID security, cryptographic protocol analysis, and biometric authentication systems. His career reflects a commitment to enhancing digital security infrastructures in critical systems like IoT, e-commerce, and national defense.

Publication Profile

🎓 Education Background

Dr. Kim earned his Ph.D. in Computer Science from Korea University, where he conducted pioneering research on cryptographic modeling and the formal design of distributed systems. He also holds a Master of Science in Computer Science from the same institution, focusing on protocol analysis via model checking. Earlier, he received a Bachelor of Business Management from the Korea Military Academy, which laid the foundation for his structured and strategic approach to IT and cybersecurity. His academic training integrates both technical and managerial disciplines, preparing him for leadership roles in both research and institutional governance.

💼 Professional Experience

Dr. Kim’s professional journey spans multiple leadership and technical roles. He currently leads the Information Security Department at ICT Polytechnic University since August 2023. From 2012 to 2023, he served as an IT Senior Auditor and Deputy Director at the Board of Audit and Inspection of Korea, conducting national audits on cyber safety. He also worked as an IT Manager in the Korean Army’s Special Warfare Training Group and was a full-time lecturer at the Korea Military Academy. His early roles included IT manager and teaching assistant positions, all contributing to his expertise in secure systems and education.

🏆 Awards and Honors

Dr. Kim has received multiple prestigious awards and scholarships throughout his career. These include full research scholarships in 2006 and 2007, and recognition for three consecutive years (2008–2010) in the Korea Security Technology Paper and Idea contest, earning second, third, and fourth place respectively. Additionally, he completed several elite training programs, including Canada’s Audit Foundation courses and a digital forensic inspector certification. His work has been widely recognized for its innovation, depth, and practical impact in the cybersecurity field, especially in areas like RFID and biometric security systems.

🔬 Research Focus

Dr. Kim’s research revolves around formal verification and analysis of cryptographic protocols in wireless networks, smart cards, IoT systems, and cloud environments. His interests include protocol modeling, RFID security systems, biometric authentication, and e-commerce security frameworks. Leveraging tools such as Casper, FDR, and SPIN, he ensures theoretical robustness and real-world applicability. He has led government-supported projects in smart card evaluation, military technology renovation, and pervasive system security analysis, advancing the frontiers of trustworthy computing and national cyber defense systems through both academic and applied research.

📝 Conclusion

Dr. Hyun-Seok Kim stands as a leading authority in secure system architecture and formal verification, blending academic rigor with real-world implementation. His commitment to strengthening digital infrastructures through research, patents, and government audits underscores his influence in both the public and academic sectors. A lifelong learner and innovator, he continues to shape the future of cybersecurity with his work on RFID, biometrics, and protocol security. His leadership at ICT Polytechnic University marks a new chapter in mentoring future professionals and advancing Korea’s position in global cybersecurity research.

📚 Top Publication Notes

Bio-2FA-IoD: A Biometric-Enhanced Two-Factor Authentication Protocol for Secure Internet of Drones Operations
Journal: Mathematics, 2025
Cited by: 12 articles
Summary: Introduces a biometric-enhanced protocol to secure drone operations via formal verification.
Efficient and Scalable Authentication Framework for IoD Networks
Journal: Electronics, 2025
Cited by: 9 articles
Summary: Develops scalable authentication for secure communications in Internet of Drones environments.
Security Enhancement of biometric-based authentication systems using smart card
Journal: IEEE Access, 2024
Cited by: 17 articles
Summary: Strengthens biometric systems by integrating smart cards in multi-factor authentication.
Enhanced Password-based Simple Three Party Key Exchange Protocol
Journal: Computers and Electrical Engineering, 2009
Cited by: 34 articles
Summary: Proposes a secure and efficient three-party key exchange protocol.
Security Analysis of RFID Systems Using Model Checking
Journal: Lecture Notes in Computer Science, 2006
Cited by: 42 articles
Summary: Demonstrates formal security validation of RFID protocols via model checking techniques.
The Design and Verification of RFID Authentication Protocol for Ubiquitous Computing
Conference: WICS in DEXA, 2007
Cited by: 25 articles
Summary: Delivers protocol verification for RFID use in smart environments.
Formal Verification of Cryptographic Protocol for Secure RFID System
Conference: NMC 2008
Cited by: 18 articles
Summary: Validates cryptographic resilience of RFID systems using model checking frameworks.
Security Analysis of Smart Card-based Authentication Schemes
Conference: ICIS 2010
Cited by: 14 articles
Summary: Examines vulnerabilities and mitigation strategies in smart card authentication.
EAFoc: Enterprise Architecture Framework Based on Commonality
Journal: Journal of Computer Science and Technology, 2006
Cited by: 58 articles
Summary: Introduces a novel enterprise architecture framework using commonality analysis.
RFID Privacy Protection Scheme for Secure Ubiquitous Computing
Conference: IEEE ICCCN Workshop, 2007
Cited by: 27 articles
Summary: Proposes privacy-preserving protocols for RFID in pervasive environments.

Palaystint Thorng | Microwave Circuit Design | Best Researcher Award

Published on 07/07/202507/07/2025 by Computer Scientists Awards

Mr. Palaystint Thorng | Microwave Circuit Design | Best Researcher Award

Mr. Palaystint Thorng, Integrated Master’s and PhD Student, Jeonbuk National University, South Korea.

Palaystint Thorng is an emerging researcher pursuing an Integrated Master’s and PhD degree at Jeonbuk National University, South Korea. His research lies at the intersection of microwave circuit design and artificial intelligence, with a focus on co-designing integrated amplifier-phase shifters for MIMO systems and developing AI-assisted digital predistortion techniques for high-power RF amplifiers. As Chair of the IEEE MTT-S Student Branch Chapter at JBNU, he has demonstrated leadership in both academic and technical forums. With publications in reputed IEEE and Applied Sciences journals, Thorng’s innovative contributions aim to advance the efficiency and miniaturization of next-generation wireless communication hardware.

Publication Profile

🎓 Education Background

Palaystint Thorng is currently enrolled in an Integrated Master’s and PhD program at Jeonbuk National University, South Korea. His academic journey is centered around electronics and microwave engineering, with a strong emphasis on RF circuit integration and AI applications. Through rigorous coursework and research under expert supervision, he has gained proficiency in microwave component co-design, electromagnetic simulation, and experimental prototyping. His formal education blends theoretical foundations with hands-on practical skills in RF measurement techniques, digital modeling, and front-end circuit implementation for modern wireless systems, making him a versatile and highly capable researcher in the field of microwave engineering.

💼 Professional Experience

As a full-time Integrated Master’s and PhD student at Jeonbuk National University, Palaystint Thorng is engaged in high-impact research projects within the Microwave Circuits Design Lab. He has contributed to the design, fabrication, and measurement of compact RF components for MIMO systems and is currently focusing on AI-based digital predistortion techniques for RF amplifiers. His professional exposure includes presenting at top-tier IEEE conferences such as APMC, EuMC, and IMBioC. While he has not yet undertaken industry consultancy, he actively collaborates with senior researchers and is open to future industrial partnerships that align with his expertise in microwave systems and AI.

🏆 Awards and Honors

Although early in his career, Palaystint Thorng has demonstrated outstanding research potential, leading to his nomination for the Best Researcher Award under the International Research Scientist Awards. As Chair of the IEEE MTT-S Student Branch Chapter at JBNU and a student member of KIEES, he has earned recognition for his leadership and technical excellence in the field of RF and microwave engineering. His peer-reviewed publications and consistent academic performance reflect his growing reputation in the scholarly community. Future awards and honors are anticipated as his contributions to AI-integrated microwave circuits continue to evolve and gain recognition.

🔬 Research Focus

Palaystint Thorng’s research is focused on co-designing compact, high-efficiency microwave amplifier and phase shifter systems for MIMO communication, along with developing AI-assisted digital predistortion (DPD) models to enhance RF power amplifier performance. His work integrates simulation, design, fabrication, and testing of innovative RF components such as filtering power dividers, bandpass filters, and tunable quasi-circulators. His ongoing research targets improving linearity and bandwidth in high-power systems while minimizing circuit size, aligning with 5G and future wireless standards. By blending microwave engineering with AI algorithms, he contributes significantly to next-generation RF front-end development.

🔚 Conclusion

Palaystint Thorng is a highly driven and technically skilled young researcher whose interdisciplinary work is paving the way for more efficient and compact microwave circuits in wireless communication. Through academic excellence, leadership roles, and research innovations, he exemplifies the qualities of a next-generation research scientist. His contributions to co-design and AI-assisted modeling offer practical solutions to current RF challenges. As he continues his doctoral journey, he remains committed to advancing integrated microwave design, fostering industry collaboration, and contributing impactful knowledge to both academia and the wireless engineering community.

📚 Top Publications with Notes

Co-Design of Integrated Microwave Amplifier and Phase Shifter Using Reflection-Type Input Matching Networks for Compact MIMO Systems
Applied Sciences, 2025 | Cited by: Indexing in progress
Multi-Functional Filtering Power Divider with Tunable Center Frequency and Isolator Functionality
2024 54th European Microwave Conference (EuMC) | Cited by: 1
Design of Quarter-Mode SIW BPF with Ultra-Wide Stopband and Impedance Matching Functionality
2025 IEEE MTT-S IMBioC
Quasi-Elliptic Tunable Bandpass Filter With Controllable Transmission Zero Locations
2025 IEEE MTT-S IMBioC
Frequency Tunable Filtering Power Divider With Arbitrary Power Division Ratio and Transmission Zeros
2025 IEEE MTT-S IMBioC
A Design of Filtering Quasi-Circulator Using Time-Modulated Resonators
2024 IEEE Asia-Pacific Microwave Conference (APMC)
Design of SIW BPF Matching Network with Ultra-Wide Stopband and High Out-of-Band Signal Suppression Characteristics
2024 IEEE Asia-Pacific Microwave Conference (APMC)

Nairei Hori | Social Sciences | Best Researcher Award

Published on 07/07/202507/07/2025 by Computer Scientists Awards

Assist. Prof. Dr. Nairei Hori | Social Sciences | Best Researcher Award

Assist. Prof. Dr. Nairei Hori , I-Shou University , Taiwan.

Dr. Nairei Hori is an Assistant Professor at I-Shou University, Taiwan, specializing in the intersection of hospitality and education. With a doctoral degree in Education and extensive experience in the hospitality sector, Dr. Hori’s academic contributions emphasize aligning educational frameworks with real-world industry standards. She has conducted impactful research on emotional labor, HRM, and consumer behavior, focusing particularly on experiential learning and workforce development in hospitality education. Her scholarly works are featured in reputable journals, earning recognition for their originality and practical significance. Dr. Hori continues to bridge the gap between academia and practice, influencing educational strategies and hospitality innovations.

Publication Profile