San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

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Ms. San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

National Taiwan University | Taiwan

Nan San Nyunt is an agricultural professional from a farming community with a strong focus on climate-smart agriculture, crop modeling, and sustainable farming practices. She earned her M.Sc. in Global Agriculture Technology and Genomic Science from National Taiwan University, where she conducted research on climate change risk assessment and adaptation strategies for potato production in Myanmar using the DSSAT model. Her bachelor’s degree in Agricultural Science from Yezin Agricultural University involved experimental work on controlling root-knot nematodes in tomato crops. Nan has extensive experience working with NGOs and international organizations, leading farmer-centered initiatives, capacity-building programs, and agricultural innovation projects. She co-founded Taungthutada (TTTD), managing projects aimed at food security, women’s empowerment in agribusiness, and improving access to innovative agricultural services. Her roles include research assistant and teaching assistant at National Taiwan University, where she focuses on crop modeling, crop rotation simulations, and research manuscript preparation. She has presented her work at international conferences and published research on the impacts of climate change on potato production. Nan’s interests include crop modeling, agronomic research, climate adaptation strategies, and sustainable agricultural value chains. She has been recognized with the NTU-SEARCA Joint Scholarship for her academic and research excellence. Nan continues to bridge research and practice to advance climate-resilient agriculture.

Profile : Orcid

Featured Publication

Joseph Ngatchou-Wandji | Mathematical Statistics | Research Excellence Award

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Prof. Dr. Joseph Ngatchou-Wandji | Mathematical Statistics | Research Excellence Award

Université de Lorraine | France

Joseph Ngatchou-Wandji is a Full Professor jointly appointed at Université de Rennes (EHESP) and at Université de Lorraine’s Institut Élie Cartan de Lorraine (IECL), where he leads work in the Probabilities & Statistics group. He earned his doctorate in applied mathematics/statistics from Université Paris 13 (1995) and obtained his Habilitation à Diriger des Recherches (HDR) in 2006. Prior to his current position, he was Associate Professor at Université de Caen (1997–2009). His extensive teaching portfolio spans undergraduate to postgraduate courses in probability, time series, and spatio-temporal models, at institutions in France (e.g., EHESP, Télécom Nancy, École Polytechnique) and abroad (Lebanon, Gabon, Tunisia, Benin). His research focuses on estimation and hypothesis testing in time series and spatio-temporal models, change-point detection, CHARN (Conditional Heteroscedastic Autoregressive Nonlinear) models, and nonparametric inference. He has supervised about forty master’s theses and over a dozen PhD dissertations, and has published ~ 50 research papers. He is also frequently invited abroad (e.g., South Africa, China, USA), serves on many PhD juries, and is active in national academic governance and statistical associations. In addition to his academic achievements, he authored a 204-page novel, Le vent du printemps, and holds a 4th dan in karate. According to his ResearchGate profile, he has 258 Citations and 30 Documentation an h-index ≈ 18.

Profile: Scopus

Featured Publications

Ngatchou-Wandji, J., & Co-authors. (2025). Testing for the zero-altered Poisson distribution with positive data. Statistica Neerlandica.

Ngatchou-Wandji, J., & Co-authors. (2025). Goodness-of-fit tests for discrete response models with covariates. Statistical Papers.

Ngatchou-Wandji, J., & Co-authors. (2025). Omnibus diagnostic procedures for vector multiplicative errors models. Statistical Papers.

Chanjoo Park | Medicinal Plants | Best Researcher Award

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Dr. Chanjoo Park | Medicinal Plants | Best Researcher Award

National Institute of Forest Science | South Korea

Dr. Chanjoo Park is a postdoctoral research associate in the Forest Industrial Materials Division of the National Institute of Forest Science (South Korea) since February 2024, where he leads the development of forest-resource-derived essential oils, their quality & safety evaluation, antimicrobial screening and an industrial-scale distillation facility. Previously, from October 2021 to December 2023 he served as Research Professor in the College of Forest & Environmental Sciences at Kangwon National University, coordinating international forestry training programmes and teaching scientific writing. He earned his PhD (Agriculture) from the University of Tasmania (Australia) in December 2021, studying commercial production of Kunzea ambigua essential oil; his M.Sc. (Food & Nutrition) was awarded at Pusan National University (Korea) in 2015, and his B.Sc. was completed at Sungshin Women’s University, Seoul. Dr. Park’s research emphasizes sustainable extraction and valorisation of aromatic forestry biomass, optimisation of essential-oil yield and bioactive constituent profiling, antimicrobial and functional-food applications, and standardisation according to international fragrance and oil-quality standards. He has published on topics of essential oils from forest waste and native forestry species in South Korea including Kunzea ambigua, Pinaceae and Cupressaceae oils. His work contributes to industrial bio-valorisation of forest by-products and sustainable green chemistry of aromatic compounds.

Profiles: Google Scholar | Orcid

Featured Publications

Park, C., Woo, H., & Park, M.-J. (2023). Development of Pinaceae and Cupressaceae essential oils from forest waste in South Korea. Plants.

Park, C., Garland, S. M., & Close, D. C. (2022). The effect of the height of coppicing and harvest season on the yield and quality of the essential oil of Kunzea ambigua. Plants.

Park, C., & Woo, H. (2022). Development of native essential oils from forestry resources in South Korea. Life.

Park, C., Garland, S. M., & Close, D. C. (2022). Yield and profile of essential oil of Kunzea ambigua: Prediction using solvent extraction and effects of distillation time. Journal of Essential Oil Bearing Plants.