Seong-Hyok Sean Kim | Sensor | Best Researcher Award

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Mr. Seong-Hyok Sean Kim | Sensor | Best Researcher Award

 LG Electronics | South Korea

Mr. Seong-Hyok Sean Kim, Ph.D., is a globally recognized technical leader and researcher in consumer electronics, mobile technologies, and advanced AI-driven sensing, credited with pioneering over ten world-first AI sensing-based technologies that have transformed devices across consumer electronics, healthcare, and IoT. With more than two decades of expertise in sensors, MEMS, actuators, micro and nano devices, quantum sensors, and quantum AI, he has seamlessly integrated deep scientific insight with real-world innovation to bring groundbreaking technologies into commercialization. Currently serving as Research Fellow and Senior Research Fellow (Vice President) at LG Electronics AI Lab in Seoul, he leads a team of over 100 engineers to develop next-generation AI perception and sensing solutions for ambient computing, smart homes, and quantum AI, achieving breakthroughs such as the world’s first AI-powered dryer, radar-based air conditioner, AI environmental sensing air purifier, and the world’s smallest portable quantum magnetometer. Earlier, as Team Lead of LG’s Sensor Lab, he spearheaded cross-disciplinary innovations including the first automotive-grade PM sensor and advanced healthcare devices such as smart toothbrushes and sleepcare systems, while his leadership at LG’s Mobile Communications Company brought disruptive mobile experiences through TOF recognition, biometric innovations, and embedded healthcare sensors. His prior academic work at Georgia Institute of Technology advanced MEMS and nanotechnology research, producing impactful publications. Holding BSc, MSc, and Ph.D. degrees from Seoul National University, along with 64 papers, 37 patents, and multiple prestigious awards, Dr. Kim continues to define the global trajectory of AI sensing, MEMS, and quantum technologies.

Profile: Google Scholar

Featured Publications

Kim, S., Yonghahk, P., Kim, Y., Mihyun, P., Gukchan, L., & Kim, S. (2017). Mobile terminal and control method thereof (U.S. Patent No. 9,606,721). U.S. Patent and Trademark Office.

Jung, P. G., Lim, G., Kim, S., & Kong, K. (2015). A wearable gesture recognition device for detecting muscular activities based on air-pressure sensors. IEEE Transactions on Industrial Informatics, 11(2), 485–494.

Shim, H., Gukchan, L., Youngho, S., Kim, S., Chohee, K., & Kim, H. (2018). Reverse battery protection device and operating method thereof (U.S. Patent No. 9,891,590). U.S. Patent and Trademark Office.

Jang, H., Kim, B., Han, D., Lim, G., Lee, Y., Woo, S., Shim, H., & Kim, S. (2018). Mobile terminal having a screen with a circular form and method for controlling the same (U.S. Patent No. 10,042,551). U.S. Patent and Trademark Office.

Kim, S. H., Ji, C. H., Galle, P., Herrault, F., Wu, X., Lee, J. H., Choi, C. A., & Allen, M. G. (2009). An electromagnetic energy scavenger from direct airflow. Journal of Micromechanics and Microengineering, 19(9), 094010.

Wu, X., Kim, S. H., Zhu, H., Ji, C. H., & Allen, M. G. (2012). A refreshable braille cell based on pneumatic microbubble actuators. Journal of Microelectromechanical Systems, 21(4), 908–916.

Seungkyu, S., Lee, S., Park, S., Kim, S., Jin, D., Kim, H., Gukchan, L., & Lee, J. (2015). Terminal and control method thereof (U.S. Patent No. 9,089,270). U.S. Patent and Trademark Office.

Shim, H., Gukchan, L., Youngho, S., Kim, S., & Kim, H. (2017). Wearable mobile terminal (U.S. Patent No. 9,795,309). U.S. Patent and Trademark Office.

Wang, P. C., Wester, B. A., Rajaraman, S., Paik, S. J., Kim, S. H., & Allen, M. G. (2009). Hollow polymer microneedle array fabricated by photolithography process combined with micromolding technique. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 7026–7029). IEEE.

Ervin Zeka | Agricultural and Wine Economics | Young Researcher Award

Published on by Environmental Scientists

Mr. Ervin Zeka | Agricultural and Wine Economics | Young Researcher Award

Aldo Moro University of Bari | Italy

Mr. Ervin Zeka is an Albanian professional specializing in economics, innovation, and sustainable development, with experience across government institutions, financial services, research organizations, and NGOs. He currently serves as an Innovation Expert at the Agency of Innovation and Excellence, providing strategic consulting on technological improvements, project sustainability, and innovation transfer to government partners. Previously, he worked as a Specialist in the Statistical Register of Enterprises Sector at the Institute of Statistics in Tiranë, contributing to data modeling and national reporting, and as a Junior Research Expert at Development Solutions Associates, where he supported agricultural research through surveys and interviews. His international exposure includes volunteering with Udruga Impress in Croatia to support children with disabilities and promote social inclusion. In the financial sector, he held roles at Union Bank SHA, FEDinvest sha, and AZHBR, where he evaluated applicants for national support schemes. Academically, Mr. Ervin Zeka is pursuing a PhD in Soil and Food Science at the University of Bari Aldo Moro, researching the economic valuation of the wine value chain, sustainable wine innovation, and consumer preferences using methods such as Discrete Choice Experiments, Hedonic Pricing, and Life Cycle Assessment. He also holds a Master of Science in Economics and Agrarian Policies and a Bachelor’s degree in Rural Development Economics and Policies from the Agriculture University of Tirana, enriched by specialized training at the Mediterranean Agronomic Institute of Bari and participation in international summer schools. Mr. Ervin Zeka has presented at conferences such as EuAWE, BRIDGE, and ICOALS IV, and earned recognition in research competitions, reflecting his dedication to linking innovation, sustainability, and practical applications in agriculture and governance.

Profile:  Orcid

Featured Publications

Zeka, E. (2025, June). Exploring price determinants of natural wines: A case study on the impact of territorial certification in the Italian online market. Paper presented at the European Association of Wine Economists (EuAWE), Zaragoza, Spain.

Jianwen Wang | Agricultural science | Best Researcher Award

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Dr. Jianwen Wang | Agricultural science | Best Researcher Award

Researcher, Tsinghua University, China.

Jianwen Wang is a dynamic researcher at Tsinghua University, known for his interdisciplinary prowess across Earth Sciences, Artificial Intelligence, Economic Philosophy, and Environmental Systems. His work blends high-level technical skill with philosophical insight, drawing from his expertise in programming, GIS platforms, data modeling, and multilingual communication. Beyond research, Jianwen is also a professional musician 🎶, a published writer 📚, and a tech startup founder 💼, embodying a rare fusion of creativity and scientific rigor.

Professional Profile

Scopus

🎓 Education

Jianwen Wang holds a diverse academic background, including advanced training in Material Science, Earth Systems, Big Data Analytics, and Cognitive Computing. He has achieved multiple certifications, such as a Certified Senior Psychological Counselor and Advanced Teaching Certification, reflecting his ability to bridge science with social understanding. His literary and technical accomplishments further illustrate a robust and well-rounded educational trajectory. 📖🧠

💼 Experience

With deep expertise in geospatial simulation, AI-driven ecological modeling, and transboundary ecosystem management, Jianwen Wang has contributed to national and international research initiatives. His role as researcher at Tsinghua University builds on collaborative work with leading institutions including Yanbian University, BNU, CAS, and Sun Yat-sen University, delivering real-world solutions for policy and sustainability challenges. 🔍🌏

🔬 Research Interests

Jianwen’s research spans landscape ecology, vegetation NPP modeling, ecosystem service valuation, AI in geosciences, and land-use change simulations. He has developed innovative frameworks integrating deep learning with ecosystem models like BIOME-BGC, advancing understanding of climate impacts on vegetation resilience and biodiversity 🌿📊.

🏆 Awards

Jianwen is a strong contender for the Best Researcher Award 🏅. His projects have shaped China’s “Dual Carbon” goals, optimized ecological restoration investments, and advanced SDG 15 implementation. His achievements represent a paradigm shift in spatial modeling, environmental science, and philosophical integration within scientific narratives.

📚 Top Noted Publications

🔗 “An in-depth multiscale analysis of farmland abandonment and recultivation dynamics in the Yangtze River Delta, China”, was published in Environmental and Sustainability Indicators (2024), cited by 20+ articles.

Conclusion

Jianwen Wang is highly deserving of the Best Researcher Award 🏆 for his interdisciplinary research, technological innovation, and contributions to national ecological policy. His work bridges computational intelligence with environmental resilience—a critical nexus in today’s scientific landscape. With increasing academic output and broader global engagement, he is poised to become a leading force in sustainability science and AI-integrated geosciences. His commitment to scholarly integrity, creative expression, and cross-sector leadership makes him an exemplary candidate for this prestigious recognition.