Ms. ELPIDA ROUSSAKOU | Robotics | Best Researcher Award

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Ms. ELPIDA ROUSSAKOU | Robotics | Best Researcher Award

Phd Candidate, UNIVERSITY OF WEST ATTICA, ATHENS, Greece

Elpida Roussakou is a dedicated Greek public health professional, educator, and researcher with a strong background in hygiene, health and safety, and non-formal education. With a career rooted in improving workplace health standards and food hygiene, she combines academic excellence with hands-on consultancy. She is currently a PhD Candidate in Tourism Management at the University of West Attica and an accomplished lecturer affiliated with Mediterranean College and UK institutions like the University of Derby and University of Wolverhampton. Her diverse experience spans health safety training, HACCP system design, and higher education teaching.

Publication Profile

Scopus

Summary of Suitability for Best Researcher Award – Ms. Elpida Roussakou

Ms. Elpida Roussakou demonstrates a strong foundation in public hygiene, health and safety, and interdisciplinary research, particularly in the intersection of health, safety, tourism, and education. Her academic journey, highlighted by a summa cum laude Master’s degree and current PhD candidacy, is supported by a range of professional licenses, certifications, and teaching roles across prestigious academic institutions. Her contributions to scientific literature, especially regarding public health challenges during the economic crisis and the COVID-19 pandemic, show a clear alignment with applied, socially impactful research — a critical criterion for a best research award.

🎓 Education Background

Elpida earned her undergraduate diploma in Public Hygiene from the Τ.Ε.Ι. of Athens, graduating with distinction (8.10/10), and her thesis scored a perfect 10. She further pursued a Master’s degree in “Health and Safety in the Workplace” at the Democritus University of Thrace, graduating summa cum laude with a GPA of 9.15. Her postgraduate journey includes certification as an adult trainer (EOPPEP), a license to practice as a Hygienist and to conduct disinfestation procedures, and a Postgraduate Certificate in Learning and Teaching in Higher Education (ILTA) from Manchester Metropolitan University.

💼 Professional Experience

Since 2016, Elpida has been actively engaged in her company, Hygioacts, designing HACCP systems and workplace safety plans for over 190 food and beverage companies. She has taught extensively at Mediterranean College in both the Physiotherapy and Psychology departments, delivering modules on research methods, service improvement, and leadership. Additionally, she has conducted certified health and safety training for food service staff under EFET programs through collaborations with companies like Qualiment, GEP, APOPISI KEK, and Eurotraining. Her work bridges academia, professional training, and practical consultancy.

🏅 Awards and Honors

Elpida’s academic achievements are underscored by her summa cum laude graduation from her Master’s program and her high-standing GPA throughout her studies. She is a certified EOPPEP trainer and has earned professional licenses in the fields of public hygiene and pest disinfestation. Her teaching credentials are further validated by her UK postgraduate certificate in higher education instruction.

🔬 Research Focus

Her research primarily centers on public health safety, the impact of socio-economic crises on hygiene practices, food safety in catering, and ethical practices in healthcare, especially during critical periods such as the COVID-19 pandemic. Her ongoing doctoral work in tourism management also explores health and safety practices in hospitality settings.

📚 Top Publications 

  1. Economic crisis affects modern Greek house conditions: maintenance and heating deterioration
    To Vima tou Asklipiou, 2017, Vol. 16(3), pp. 160-175
    Cited by: 3 articles

  2. Halal Islamic certification in relation to European requirements and international standards in the field of meat. Special National Rules in Greece
    e-Journal of Science & Technology (e-JST), 2018, Vol. 13(3), pp. 13–35
    Cited by: 4 articles

  3. Ethical Issues in Intensive Care Units during the COVID-19 Pandemic
    Indian Journal of Critical Care Medicine, 2021, Vol. 24(9), pp. 855–856
    Cited by: 5 articles

  4. Precaution Measures for the Safety of the Personnel in the Surgical Wards during the COVID-19 Pandemic
    Journal of Hand Surgery Asian-Pacific, 2021, Vol. 26(1), pp. 127–129
    Cited by: 2 articles

  5. New Technologies in Health and Safety in Hotel Restaurants During Covid-19: A Systematic Review
    Springer Proceedings in Business and Economics, 2023, IACuDiT Conference Proceedings
    Cited by: 1 article

 

Prof. youm kwang ouck | Mechanical | Best Researcher Award

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Prof. youm kwang ouck | Mechanical | Best Researcher Award

Associate professor, Department of Mechanical & Automotive Engineering / Hanyang Cyber University, South Korea.

Dr. Kwang-Ouck Youm is an accomplished Associate Professor in the Department of Mechanical & Automotive Engineering at Hanyang Cyber University, Seoul, South Korea. With a Ph.D. in Mechanical Engineering, he is widely recognized for his significant contributions to automotive transmission systems and mechanical design. His academic and research excellence is marked by a strong record of publications, impactful research, and dedication to teaching and mentoring future engineers.

Publication Profile

Summary of Suitability for Best Research Award – Prof. youm kwang ouck

Dr. Youm Kwang-Ouck is a highly qualified candidate for the Best Research Award, with a Ph.D. in Mechanical Engineering and over a decade of academic and research experience in mechanical and automotive engineering. His expertise lies in the design, modeling, and optimization of automotive transmission systems, including both traditional and hybrid technologies. Currently serving as Associate Professor at Hanyang Cyber University, Dr. Youm has consistently contributed to innovation in powertrain systems and mechanical design, making him a strong contender for this award.

🎓 Education Background:

Dr. Youm completed his Master’s degree in Mechanical Engineering from Chung-Ang University in August 2010. He continued his doctoral studies at the same institution, earning his Ph.D. in Mechanical Engineering in August 2014. His education laid the groundwork for his future innovations in automotive powertrain systems and mechanical dynamics.

💼 Professional Experience:

Dr. Youm began his academic career as an Assistant Professor at Dongju University in Pusan, Korea, from 2014 to 2018. Since 2018, he has been serving as an Associate Professor at Hanyang Cyber University, where he teaches and leads research in mechanical and automotive engineering. He has led numerous research projects in mechanical system design and has extensive experience using CAD/CAE tools, multi-body dynamics, and finite element analysis.

🏆 Awards and Honors:

While specific awards are not listed, Dr. Youm’s professional stature and academic contributions are reflected through his consistent research output, leadership in innovative projects, and publications in top-tier peer-reviewed journals. His recognition is further underscored by collaboration with leading researchers and his role in impactful engineering developments.

🔬 Research Focus:

Dr. Youm’s primary research interests include the design, modeling, and optimization of automotive transmission systems—especially automatic and hybrid drivetrains. He is also focused on mechanical system dynamics, structural optimization, and innovative drive systems. His expertise extends to hybrid tooth profiles, electric mobility systems, and gear-driven robotics, combining theoretical rigor with practical application.

📚 Publication Top Notes

  1. Investigation of Hybrid Tooth Profiles for Robotic Drives Based on IH Tooth Profiles and Cycloidal Curves – Applied Sciences, 2025
    Published: 2025
    Journal: Applied Sciences

  2. Analysis of Fuel Characteristics by Refinery Based on Distillation Test of Gasoline-Diesel Fuels used in Automotive – Journal of the Korean Institute of Gas, 2025
    Published: 2025
    Journal: Journal of the Korean Institute of Gas

  3. Design of Wheelchair Drive Unit Capable of Driving on Roads and Obstacles with Shape Conversion – Applied Sciences, 2024
    Published: 2024
    Journal: Applied Sciences

  4. Development of Speed Reducer Integrated Driving system Apply to Vehicle Window Motor – Journal of the Korea Society for Power System Engineering, 2016
    Published: 2016
    Journal: Journal of the Korea Society for Power System Engineering

  5. A study on the safety electric grass cutter system using the planetary reduction gear device – International Journal of Precision Engineering and Manufacturing, 2013
    Published: 2013
    Journal: International Journal of Precision Engineering and Manufacturing

  6. A Study on the Shift Motor Driving System Optimization of 4-WD Power Transformation Device – Journal of the Korean Society for Precision Engineering, 2013
    Published: 2013
    Journal: Journal of the Korean Society for Precision Engineering

 

Mr. Oluwaleke Awonaike | Management | Best Researcher Award

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Mr. Oluwaleke Awonaike | Management | Best Researcher Award

Mr. Oluwaleke Awonaike, Research Assistant, Cyprus International University, Cyprus

Oluwaleke Micheal Awonaike is a dedicated academic and researcher in the field of Business Administration, currently pursuing his Ph.D. in Business Management at Cyprus International University in the Turkish Republic of Northern Cyprus. With a strong background in mathematics, computer science, and business education, Micheal is driven by a commitment to organizational growth, sustainability, and personal development, both morally and professionally. His academic and teaching journey spans Nigeria and Northern Cyprus, highlighting his diverse international experience and passion for impactful research in management studies.

Publication Profile

ORCID

🎓 Education Background

Micheal’s academic journey began with a National Certificate in Education (N.C.E.) in Computer/Mathematics from the Federal College of Education (T), Akoka, Lagos (2007–2010). He then obtained a B.Ed/B.Sc. in Mathematics Science Education from the University of Lagos, Nigeria (2013–2016). His thirst for knowledge led him to pursue a Master’s in Business Administration (MBA) at Cyprus International University from 2019 to 2022. Currently, he is a Ph.D. candidate in Business Management at the same institution, starting from September 2022.

💼 Professional Experience

Micheal has rich experience in education and academic research. He began as a Student Teacher at Issa Williams Memorial High School, Lagos (2015–2016), followed by a role as a Youth Corps Member Teacher at Community High School Kumapayi, Ibadan (2017–2018). Since August 2021, he has been serving as a Research Assistant in the Business Administration Department at Cyprus International University. In February 2024, he further assumed the role of Instructor and continues to contribute meaningfully to academic development and research excellence.

🏆 Awards and Honors

While specific awards are not listed, Micheal’s selection and continued engagement as a Research Assistant and Instructor at Cyprus International University reflect a recognition of his academic diligence and growing expertise in business administration. His co-authorship in a reputable international journal further signifies his rising profile in academic research.

🔬 Research Focus

Micheal’s research is centered on the intersection of stakeholder pressure, environmental awareness, and ethics in enhancing environmental performance within the manufacturing sector. His scholarly interests lie in sustainable business practices, stakeholder engagement, ethical leadership, and organizational development, with a focus on how environmental factors influence strategic business outcomes.

🔚 Conclusion

With a strong educational foundation, diverse teaching experience, and a budding research portfolio, Oluwaleke Micheal Awonaike is a promising scholar in the business management domain. His commitment to contributing to institutional goals while nurturing his professional and moral development positions him as a valuable academic asset and future thought leader in sustainable management practices.

📚 Publication Top Notes

 Exploring the Interplay of Stakeholder Pressure, Environmental Awareness, and Environmental Ethics on Perceived Environmental Performance: Insights from the Manufacturing Sector
Published Year: 2025
Journal: Sustainability
Authors: Oluwaleke Micheal Awonaike; Tarik Atan

Assist. Prof. Dr. Joaquim Casaca | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Joaquim Casaca | Artificial Intelligence | Best Researcher Award

Prof, IADE, European University, Portugal

Joaquim António A. Casaca is an accomplished academic and professional in management, specializing in information security and marketing. He currently serves as an Assistant Professor at IADE, European University, Lisbon. Known for his expertise in management and economics, Joaquim has contributed extensively to research in areas such as entrepreneurial competence, marketing, and information security.

Publication Profile

Scopus

ORCID

🎓 Education Background

Joaquim Casaca holds a PhD in Management (2010) from Universidade Lusíada de Lisboa, with a thesis focusing on information security management in Portuguese SMEs. He earned a Master’s in Management (1999) and an MBA (1997) from ISEG – Lisbon School of Economics and Management, University of Lisbon. Additionally, he completed a Postgraduate degree in Information Sciences and Technologies for Organizations (1996) from ISEG, and holds a BSc in Economics (1982) from the same institution.

💼 Professional Experience

Since 2010, Joaquim has been an Assistant Professor at IADE, European University (Lisbon). Previously, he held academic roles at the University of Lisbon and Lusófona University, and financial positions in notable companies such as PT Multimédia, Portugal Telecom, and Companhia Portuguesa Rádio Marconi. His broad experience spans academia, finance, and management consultancy.

🏆 Awards and Honors

Joaquim received the Banco Espírito Santo Award in 1999 at ISEG for his outstanding Master’s thesis. This recognition highlights his early excellence and research capability in management.

🔍 Research Focus

His research interests center on management, information security, entrepreneurial competence, and marketing. Recent work includes studies on game-based learning’s effect on entrepreneurial skills and the role of neuroscience in economics and marketing. Joaquim’s interdisciplinary approach integrates management theory with emerging technologies and consumer behavior.

🔚 Conclusion

With a strong academic foundation and a versatile professional background, Joaquim A. Casaca is a respected figure in management and information security education. His ongoing contributions advance the understanding of how technology and management intersect in organizational contexts.

📚 Top Publications

  • The effect of game-based learning on the development of entrepreneurial competence among higher education students
    Daniel, A. D., Negre, Y., Casaca, J. A., Patricio, R., & Tsvetcoff, R. (2024). Education + Training.
    DOI: 10.1108/ET-10-2023-0448 — Cited by 3 articles

  • Neuroscience Applied to Economics and Marketing: A bibliometric Review of the Literature
    Casaca, J. A. (2024). International Journal of Business Innovation and Research.
    DOI: 10.1504/ijbir.2024.10066189

  • The determinants of non-consumption of disposable plastic: application of an extended theory of planned behaviour
    Casaca, J. A. (2024). International Journal of Business Environment.
    DOI: 10.1504/IJBE.2024.135693

  • Relational Marketing and Customer Satisfaction: A Systematic Literature Review
    Casaca, J. A. (2023). Estudios Gerenciales.
    DOI: 10.18046/j.estger.2023.169.6218

  • Relationship Marketing and Customer Retention – A Systematic Literature Review
    Casaca, J. A. (2023). Studies in Business and Economics.
    DOI: 10.2478/sbe-2023-0044

 

Dr. Shengfei Ji | Mechanical | Best Researcher Award

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Dr. Shengfei Ji | Mechanical | Best Researcher Award

Dr. Shengfei Ji , China University of Mining and Technology, China

Shengfei Ji is a dedicated Ph.D. candidate in Mechatronic Engineering at the School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, P.R. China. With a strong academic and technical background, he focuses on developing intelligent systems to enhance the operational reliability of hydraulic machinery. His passion for research and innovation in fault diagnosis and predictive modeling has led to several impactful publications in renowned journals.

Publication Profile

Scopus

ORCID

🎓 Education Background

Shengfei Ji is currently pursuing his Ph.D. in Mechatronic Engineering at China University of Mining and Technology, where he is engaged in advanced studies on intelligent condition monitoring systems. His academic foundation includes rigorous training in machine learning, system dynamics, and hydraulic machinery.

💼 Professional Experience

As a Ph.D. researcher, Shengfei has collaborated with a multidisciplinary team on projects involving construction machinery and intelligent fault detection. His work involves both theoretical research and practical application, integrating AI technologies like graph convolutional networks and LSTM models with mechanical systems. He has co-authored research with industry and academic experts, further expanding his expertise in smart diagnostics.

🏆 Awards and Honors

While formal awards and grants are not currently listed, Shengfei Ji’s work has gained recognition in the academic community with citations in 19 documents and a Scopus h-index of 2, reflecting growing interest in his innovative contributions to intelligent machinery diagnostics.

🔬 Research Focus

Shengfei Ji’s core research interests lie in intelligent fault diagnosis 🛠️, anomaly detection 🚨, and condition monitoring 📡 of hydraulic systems used in construction machinery. His work primarily applies deep learning and graph-based methods to create predictive models that enhance machine efficiency and reliability.

📝 Conclusion

With a strong commitment to integrating AI with mechanical systems, Shengfei Ji is emerging as a promising researcher in the field of mechatronic engineering. His scientific contributions reflect a unique intersection of engineering insight and computational intelligence, positioning him for continued academic and industrial impact 🌐.

📚 Top Publications

  1. Multivariate Prediction Soft Sensor Model for Truck Cranes Based on Graph Convolutional Network and Random Forest
    Published in: Actuators, 2024

  2. A Soft Sensor Model for Predicting the Flow of a Hydraulic Pump Based on Graph Convolutional Network–Long Short-Term Memory
    Published in: Actuators, 2024

  3. Bucket Teeth Detection Based on Faster Region Convolutional Neural Network
    Published in: IEEE Access, 2021
    Cited by: 19 articles

 

Dr. Kristina P. Sinaga | Clustering | Best Researcher Award

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Dr. Kristina P. Sinaga | Clustering | Best Researcher Award

Dr. Kristina P. Sinaga, postdoc researcher, ISTI-CNR, Italy

👩‍🔬 Kristina P. Sinaga, Ph.D., is a passionate applied mathematician and postdoctoral researcher at ISTI-CNR, Italy, specializing in innovative clustering algorithms and federated learning for multi-view data analysis. She bridges theory and practice with elegant, robust AI solutions tailored for complex heterogeneous systems, with a keen interest in medical diagnostics and healthcare analytics. Kristina is also the creator of NeuralGlow.AI, a creative blog blending algorithmic thinking with personal insight.

Publication Profile

Summary of Suitability for Best Research Award – Dr. Kristina P. Sinaga

Dr. Kristina P. Sinaga is a distinguished applied mathematician whose pioneering research in multi-view clustering algorithms and federated learning addresses complex challenges in heterogeneous data analysis and privacy preservation. Her innovative contributions have advanced pattern recognition and dimensionality reduction techniques with promising applications in medical diagnostics and healthcare analytics. With a robust publication record and over 2,500 citations, Dr. Sinaga exemplifies research excellence through impactful, practical algorithms that bridge theory and real-world problems. Her leadership in international collaborations, dedication to mentorship, and commitment to STEM education further highlight her as an outstanding candidate for the Best Research Award.

Education Background

🎓 Kristina earned her Ph.D. in Applied Mathematics from Chung Yuan Christian University, Taiwan, graduating with honors in 2020. Her doctoral research focused on multi-view fuzzy clustering algorithms for heterogeneous data. She holds an M.Sc. in Mathematics from the University of Sumatera Utara, Indonesia, where she developed novel stochastic optimization models, and a B.Sc. in Mathematics from the same university, graduating with academic distinction.

Professional Experience

💼 Since October 2024, Kristina has been a Postdoctoral Researcher at ISTI-CNR, leading federated learning projects and developing clustering methods for complex datasets. Previously, she served as a Lecturer Specialist at Bina Nusantara University, Indonesia, teaching advanced mathematics and mentoring student research. Her academic journey also includes pioneering multi-view clustering research as a Ph.D. student in Taiwan and active community STEM outreach efforts.

Awards and Honors

🏆 Kristina’s academic career is marked by honors for her doctoral work and contributions to applied mathematics. While specific awards are not detailed, her multiple high-impact publications and strong citation record (over 2,500 citations) underscore her scholarly influence and research excellence.

Research Focus

🔬 Her research centers on advanced clustering algorithms (k-means, fuzzy c-means) tailored for multi-view data, dimensionality reduction techniques, pattern recognition, and privacy-preserving federated learning in multi-client environments. She excels in algorithmic optimization to enhance performance in unpredictable and heterogeneous data conditions.

Conclusion

✨ Kristina Sinaga embodies a rare blend of mathematical rigor and creative innovation. She thrives on challenging boundaries in AI and machine learning, producing research that is not only effective but intuitively elegant. Her dedication to teaching, research, and public engagement highlights a holistic approach to advancing science and education globally.

Publication Top Notes

  1. Multi-view fuzzy clustering algorithms for multi-view data. Applied Soft Computing.

    • Published Year: 2020

    • Journal: Applied Soft Computing

    • Citations: 800+

  2. Stochastic optimization model for ambulance location problems with correlation. European Journal of Operational Research.

    • Published Year: 2018

    • Journal: European Journal of Operational Research

    • Citations: 400+

  3.  Privacy-preserving federated multi-view clustering algorithms. IEEE Transactions on Neural Networks and Learning Systems.

    • Published Year: 2021

    • Journal: IEEE Transactions on Neural Networks and Learning Systems

    • Citations: 600+

  4. Dimensionality reduction techniques based on clustering for heterogeneous data systems. Information Sciences.

    • Published Year: 2023

    • Journal: Information Sciences

    • Citations: 300+

  5.  Federated learning with communication constraints for multi-view datasets. Pattern Recognition Letters.

    • Published Year: 2022

    • Journal: Pattern Recognition Letters

    • Citations: 200+

 

Dr . Yuhai Li | Interface treatment | Best Researcher Award

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Dr . Yuhai Li | Interface treatment | Best Researcher Award

Postdoctoral fellow, China Academy of Engineering Physics, China

Yuhai Li is a dedicated researcher specializing in optical engineering and mechanical engineering with a strong focus on laser-material interactions and plasma cleaning techniques. Currently, he is a postdoctoral researcher at the China Academy of Engineering Physics. With a robust academic foundation and multiple high-impact publications, Yuhai is contributing significantly to advancements in optical thin film cleaning and damage analysis. 🔬✨

Publication Profile

Summary of Suitability for Best Researcher Award – Dr. Yuhai Li

Dr. Yuhai Li has made significant contributions to high-intensity laser optics and plasma cleaning technologies, with a focus on material damage control and light-matter interactions. His prolific research, published in top-tier journals, demonstrates innovation, impact, and relevance, making him an outstanding candidate for the Best Researcher Award.

Education Background

Yuhai Li completed his doctoral and master’s degrees in Mechanical Engineering at Harbin Institute of Technology (2017-2023) and earned his bachelor’s degree in Mechanical Engineering from Northeast Agricultural University (2013-2017). Currently, he is pursuing postdoctoral research in Optical Engineering at the China Academy of Engineering Physics since September 2023. 🎓📚

Professional Experience

His professional experience revolves around experimental and simulation studies on surface cleaning of optical components, damage characteristics of laser optical films, and plasma treatment technologies. Yuhai has participated in projects related to large-aperture optics for inertial confinement fusion (ICF) and heritage conservation using plasma cleaning methods. 🛠️🔍

Awards and Honors

While specific awards are not listed, Yuhai’s work is recognized through publications in reputable journals and international conferences, indicating his active role and contribution in the scientific community. 🏅📈

Research Focus

Yuhai Li’s research centers on plasma cleaning of optical surfaces, interaction between laser and materials, contamination damage mechanisms, and molecular dynamics simulation of plasma effects. His work addresses practical challenges in high-power laser facilities and the preservation of cultural heritage through non-destructive cleaning techniques. ⚛️💡

Conclusion

With a blend of theoretical insight and experimental expertise, Yuhai Li is a promising scholar advancing the frontiers of optical materials science and laser engineering. His continuous contributions through research and publications underscore his commitment to innovation in optical engineering. 🚀📖

Publication Top Notes

  1. In situ plasma cleaning of large-aperture optical components in ICF, Nuclear Fusion, 2022, 62(7): 076023.
    Cited by many for advancements in plasma cleaning techniques for optical components in fusion technology.

  2. Long-lasting antifogging mechanism for large-aperture optical surface in low-pressure air plasma in-situ treated, Applied Surface Science, 2022, 581: 152358.
    Highly referenced work on antifogging plasma treatment of optical surfaces.

  3. The mechanism study of low-pressure air plasma cleaning on large-aperture optical surface unraveled by experiment and reactive molecular dynamics simulation, Plasma Science and Technology, 2022, 24(6): 064012.
    Provides molecular-level insights into plasma cleaning, cited for simulation and experimental synergy.

  4. Time-resolved imaging for investigating laser-material interactions during laser irradiation cleaning on murals, Optics & Laser Technology, 2023, 157: 108679.
    Noted for innovative application of laser cleaning in cultural heritage.

  5. In-situ measurement and self-calibration system for high-power laser energy in ICF facilities, Optics & Laser Technology, 2024, 170: 110108.
    Important contribution to precision measurement in laser fusion facilities.

 

Shang-Kuan Chen | Deep Reinforcement Learning | Excellence in Research Award

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Assist. Prof. Dr. Shang-Kuan Chen | Deep Reinforcement Learning | Excellence in Research Award

Assistant Professor, YZU university Taiwan

Shang-Kuan Chen is a dedicated researcher and academician specializing in computer science, with a robust focus on data hiding, visual cryptography, image sharing, and image retrieval. He received his MS in Applied Mathematics in 1998 and a PhD in Computer Science in 2006 from National Chiao Tung University, Taiwan. Currently serving as an Assistant Professor at the Department of Computer Science and Engineering, Yuan Ze University (since 2023), Dr. Chen is known for blending theoretical insights with practical applications in cybersecurity and intelligent systems. Over the years, he has contributed significantly to high-impact research, publishing extensively in SCI-indexed journals and international conferences. His innovative work on QR code systems, smart infrastructures, and optimization algorithms reflects his interdisciplinary expertise. In addition to his academic contributions, Dr. Chen actively mentors students and engages in collaborative research projects.

Publication Profile

Summary of Suitability for Excellence in Researcher Award – Assist. Prof. Dr. Shang-Kuan Chen

Assist. Prof. Dr. Shang-Kuan Chen is a prolific researcher with impactful contributions in data hiding, visual cryptography, and image sharing. His SCI-indexed publications reflect innovation, interdisciplinary application, and academic rigor. With a commitment to advancing secure image technologies, he exemplifies excellence and originality deserving of the Best Researcher Award.

🎓 Education

Shang-Kuan Chen began his academic journey with a Master of Science degree in Applied Mathematics from National Chiao Tung University, Taiwan, in 1998. Motivated by a passion for algorithms, mathematical models, and computer science, he further pursued and completed a PhD in Computer Science from the same university in 2006. His doctoral studies equipped him with in-depth knowledge in information security, image processing, and computational intelligence. The foundation of applied mathematics laid the groundwork for his advanced research in visual cryptography and optimization methods. His interdisciplinary education has allowed him to merge theoretical mathematical principles with practical computer science solutions. Throughout his educational path, Dr. Chen demonstrated academic excellence and a commitment to solving real-world problems through algorithmic thinking and cryptographic innovation, which continues to inform his research and teaching.

💼 Experience

Dr. Shang-Kuan Chen currently serves as an Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan, since 2023. With nearly two decades of academic and research experience, Dr. Chen has held various positions in both teaching and research capacities, contributing to topics such as data hiding, visual cryptography, and secure image sharing. His extensive publication record—spanning from 2005 to 2025—shows consistent involvement in SCI and EI-indexed journals and projects involving applied image processing and optimization techniques. Dr. Chen has also contributed to collaborative research efforts involving smart systems and cybersecurity frameworks. His work is often interdisciplinary, bridging areas like embedded systems, mobile information processing, and AI-powered visual technologies. At Yuan Ze University, he not only teaches but also supervises research students, pushing boundaries in secure digital communication and computational image processing.

🏆 Awards & Honors 

While specific awards are not explicitly listed, Shang-Kuan Chen’s prolific publication record in prestigious SCI-indexed journals such as Pattern Recognition, Optical Engineering, Symmetry, and Electronics stands as a testament to his scholarly excellence. His works have been recognized in high-impact areas like secure QR code systems, visual secret sharing, and differential evolution algorithms—topics critical to the future of information security and optimization. Publications with impact factors as high as 7.196 (Pattern Recognition) and multiple collaborative projects suggest his research is both influential and widely cited. His role as lead or co-author in numerous interdisciplinary papers and ongoing contributions in electronics and AI research highlight his continuous impact. Furthermore, his consistent scholarly output over nearly two decades, with multiple publications every year, reflects peer recognition and academic respect in the fields of computer vision, applied cryptography, and smart computing systems.

🔬 Research Focus 

Shang-Kuan Chen’s research centers around data hiding, visual cryptography, image sharing, QR code systems, and optimization algorithms. He explores advanced methods to securely encode and share visual data, particularly in healthcare, smart infrastructure, and mobile environments. His work on multi-layered QR-code systems enables secure medication administration, while visual secret sharing techniques aim to enhance data privacy and integrity. More recently, Dr. Chen has delved into deep learning and differential evolution algorithms, as reflected in his 2025 publications, to solve complex optimization problems and enable robust AI-driven fingerprint recognition systems. His work bridges the gap between theoretical cryptography and practical systems implementation, targeting real-world applications like smart refrigerators, nuclear scheduling, and autonomous decision-making. Dr. Chen continues to investigate how intelligent algorithms can reinforce secure communication and visual processing, positioning him as a leading contributor to secure AI-based systems and visual information technology.

 Conclusion

Dr. Shang-Kuan Chen is a strong candidate for the Excellence in Research Award, given his sustained scholarly output, innovative methodologies, and contributions to image processing, cryptography, and optimization. His ability to evolve with technological advances and publish in recognized journals underlines his merit for recognition. With strategic focus on broader collaboration and outreach, Dr. Chen is poised to make even greater strides in scientific excellence.

📚 Top Publications with Details

  • Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems • 2025 • Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu • https://doi.org/10.3390/math13101647

  • A Hybrid Deep Learning and Feature Descriptor Approach for Partial Fingerprint Recognition • 2025 • Zhi-Sheng Chen, Chrisantonius, Farchan Hakim Raswa, Shang-Kuan Chen, Chung-I Huang, Kuo-Chen Li, Shih-Lun Chen, Yung-Hui Li, Jia-Ching Wang • https://doi.org/10.3390/electronics14091807

  • Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems (working paper) • 2025 • Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu • https://doi.org/10.20944/preprints202504.0563.v1

 

Prof. Tao Ye | AI Accelerator | Best Researcher Award

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Prof. Tao Ye | AI Accelerator | Best Researcher Award

Prof, The Chinese University of Hong Kong, China

Dr. Terry Tao Ye is a renowned professor and researcher specializing in electrical and electronic engineering, nanotechnology, and smart sensing systems. Currently affiliated with the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), he has made significant contributions to the fields of RFID systems, embedded platforms, and wearable electronics. With a rich career spanning academia and industry, Dr. Ye has played pivotal roles in developing foundational technologies and fostering cutting-edge research in China and internationally. 🌏🔬

Publication Profile

Summary of Suitability for Best Researcher Award – Prof. Tao Ye

Dr. Terry Tao Ye is a prolific researcher and leader with groundbreaking contributions in nanoscience, wearable sensors, and SoC design. His extensive high-impact publications, prestigious grants, and interdisciplinary innovations demonstrate exceptional research excellence and influence, making him highly deserving of the Best Researcher Award.

🎓 Education Background

Dr. Ye holds a Ph.D. in Electrical Engineering from Stanford University, California, USA (1995–2004), where he researched Systems-on-Chip and Embedded Systems under the guidance of Dr. Giovanni De Micheli. He earned his B.Eng. from the Department of Electronic Engineering at Tsinghua University, Beijing, China (1988–1993), solidifying a strong foundation in electronics and communication engineering. 📘🎓

💼 Professional Experience

Dr. Ye has held multiple esteemed academic and industrial positions. He is currently a Professor at CUHK-Shenzhen (2025–present) and also at SUSTech (2018–present). He holds an adjunct professorship at Carnegie Mellon University since 2015 and has served in leadership and professorial roles at Sun Yat-Sen University and the Joint Institute of Engineering with CMU. His industry experience includes significant roles at Impinj Inc. in Seattle, where he led the development of RFID Gen2 standards, and Synopsys Inc., where he pioneered ASIC and EDA tools. His early career also includes roles at the Hong Kong LSCM R&D Center and Silicon Architects, contributing to foundational IC design technologies. 🧑‍🏫💻📡

🏅 Awards and Honors

Dr. Ye has secured over 30 competitive research grants as principal investigator or core member, spanning national, provincial, and institutional levels. Notably, his work has been funded by the National Science Foundation of China (NSFC), the Guangdong Provincial Key-Area R&D Program, and Shenzhen Science and Technology Program. His contributions to RFID, smart sensing, and embedded design have earned him widespread recognition in academia and industry. 🏆📑

🔬 Research Focus

Dr. Ye’s research interests include System-on-Chip design, embedded systems, energy-efficient interconnects, wearable electronics, flexible sensors, and e-textiles. He is currently leading projects on electronic skin, wireless medical devices, and high-frequency signal integrity in textile-based circuits. His interdisciplinary work bridges hardware design, signal processing, and biomedical applications. 🧠⚙️📲

🔚 Conclusion

With an outstanding blend of academic excellence and industrial innovation, Dr. Terry Tao Ye stands as a thought leader in electrical engineering and emerging smart technologies. His contributions to research, education, and global collaboration continue to shape the future of intelligent systems and nanotechnology. 🌟📡🔋

📚 Top Publications with Details

RV-SCNN: A RISC-V Processor With Customized Instruction Set for SNN and CNN Inference Acceleration on Edge Platforms, IEEE TCAD, 2025

Cited by: 12

Optimizing CNN Computation Using RISC-V Custom Instruction Sets for Edge Platforms, IEEE Transactions on Computers, 2024

Cited by: 2

Smartphone administered pulsed radio frequency energy therapy for expedited cutaneous wound healing, npj Digital Medicine, 2025

Cited by: 51
Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing, Science Advances, 2025

Cited by: 4

Parasitic Capacitance Modeling and Measurements of Conductive Yarns for e-Textile Devices, Nature Communications, 2023

Cited by: 8

Exploring RFID Technology for Wireless Control of Smart Antennas”, IEEE Internet of Things Journal, 2024

Cited by: 24

e-Bandage: Exploiting Smartphone as a Therapeutic Device for Cutaneous Wound Treatment”, Advanced Intelligent Systems, 2024

Cited by: 39

Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

PhD student, Higher School of Science and Technology Hammem Sousse, Tunisia

Yasmine Gaaloul is a passionate and innovative Ph.D. student in Physical Engineering, specializing in Energy, based in Sahloul, Sousse, Tunisia. With a sharp focus on advanced energy systems and renewable energy technologies, she brings a solid academic foundation combined with hands-on experience in photovoltaic system diagnostics and energy efficiency. Her academic journey reflects a strong dedication to contributing meaningful solutions in the field of sustainable energy using cutting-edge artificial intelligence techniques. 🌱⚡

Publication Profile

Scopus

Summary of Suitability for Best Researcher Award – Ms. Yasmine Gaaloul

Yasmine Gaaloul is a dedicated and innovative PhD student with a strong specialization in renewable energy systems, particularly in fault diagnosis of photovoltaic (PV) systems in DC microgrids using artificial intelligence (AI). Her research is highly relevant to current global challenges in energy sustainability and smart grid technology.

🎓 Education Background

Yasmine pursued her Bachelor’s Degree in Physics (2017–2020) and then earned a Research Master’s Degree in Physics with an Energy Track from Hammem Sousse Higher School of Science and Technology (2020–2022). She is currently enrolled in a Ph.D. program in Physical Engineering at the same institution, where her research focuses on fault diagnosis in photovoltaic (PV) systems using AI tools. Her academic path shows consistent advancement in renewable energy domains. 🎓🔬📚

💼 Professional Experience

Yasmine has built practical experience through internships and projects focused on energy audits, policy compliance, project management, and the design and implementation of energy systems. Notably, she undertook an application internship in Nuclear Medicine at the Tunisian Hospital-University Center in Sousse. She also possesses strong technical skills in simulation and programming tools such as MATLAB, PVsyst, and BAO EVOLUTION, which enhance her applied research capabilities. 🏥💻🔧

🏆 Awards and Honors

While no formal awards are listed, her work speaks volumes through peer-reviewed publications and technical skills in diagnosing photovoltaic faults using AI — a field of growing significance. Her continued progress and engagement in advanced renewable technologies position her as a competitive researcher with promising prospects. 🥇📈

🔬 Research Focus

Yasmine’s core research revolves around the fault detection and diagnosis of PV systems in DC microgrids using artificial intelligence. She also works on simulation and modeling of energy systems, including photovoltaic modules and converters. Her use of machine learning algorithms like Random Forest and KNN for predictive maintenance of PV systems reflects a modern and sustainable approach to energy reliability and performance optimization. Her work aligns with critical global goals for clean and efficient energy. ⚙️🔋🌞

✅ Conclusion 

Given her specialized research in photovoltaic systems and renewable energy using artificial intelligence, Yasmine Gaaloul is a strong candidate for the Research for Best Researcher Award. Her interdisciplinary approach, combining physical engineering with AI, positions her at the forefront of sustainable energy innovation. Her academic trajectory, technical prowess, and publication record demonstrate exceptional promise and dedication. 🏅🌍💡

📚 Top Publications with Notes

Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models (2023)

This study explores hybrid AI techniques to enhance PV system monitoring. Cited by: X articles

Comparative Performance Analysis of Metaheuristic Optimization Algorithms for Parameter Identification of Photovoltaic Cell/Module (2023)

This comparative work evaluates algorithms for optimal PV module performance. Cited by: X articles

Modeling and Simulation of a Two-Phase Interleaved Boost Converter for Photovoltaic Applications (2022)

Focuses on the design of efficient converters for PV systems. Cited by: X articles