Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen at VTT Technical Research Centre of Finland, Finland

👨‍🎓 Profile

📜 Summary

Milla Vehviläinen is a dedicated research scientist specializing in electromobility. She has extensive experience in computational modeling and simulation of electromechanical powertrains, contributing to both academic research and practical applications in electrical engineering.

🎓 Education

Milla is pursuing a D.Sc. (Tech) at Aalto University in Espoo, Finland, expected to complete in Q4/2025, focusing on computational modeling with a GPA of 4.6/5.0. She earned her M.Sc. (Tech) in Mechatronic System Design from LUT University, Lappeenranta, in 2020, with a GPA of 4.2/5.0. Her academic journey began with a B.Sc. (Tech) in Mechanical Engineering from LUT University, where she graduated in 2018 with a GPA of 3.1/5.0.

💼 Professional Experience

Currently, Milla works as a Research Scientist at VTT in Espoo (since 09/2020), focusing on computational modeling and simulation of electromechanical systems. Previously, she was a Research Trainee at VTT (07/2020 – 09/2020), where she developed a simulation toolbox for smart electric vehicle systems. Milla also has experience as an R&D Engineer Trainee at ABB Oy in Helsinki, working on product development for wind generators (05/2018 – 04/2020), and as a Sales Engineer Trainee in spare parts sales (05/2017 – 04/2018). She started her career as a trainee at Way Structural Technology Oy, contributing to 3D design projects for power plants (05/2016 – 06/2016).

📚 Academic Citations

Milla has authored several peer-reviewed publications, including: “Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics” in Mechanism and Machines Theory (2024) and “Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck” in Energies (2022).

⚙️ Technical Skills

Milla is skilled in MBS dynamics, 3D CAD, and condition monitoring. She is proficient in programming languages such as Python and VBA, and she has experience with software tools like Siemens NX, Teamcenter, SAP, and Tekla.

🔬 Research Interests

Milla’s research interests include electromechanical systems, electromobility, and fault detection and monitoring in electrical systems.

📖 Top Noted Publications 

Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
  • Journal: Mechanism and Machine Theory
  • Year: 2024
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jenni Pippuri-Mäkeläinen, Marko Paakkinen, Jukka Pellinen, Kari Tammi, Anouar Belahcen
  • Journal: Energies
  • Year: 2022

Ouya Fang | Ecological risk| Best Researcher Award

Dr. Ouya Fang | Ecological risk | Best Researcher Award

Dr. Ouya Fang at Institute of Botany, Chinese Academy of Sciences, China

  Profiles👨‍🎓

Early Academic Pursuits 🎓

Dr. Ouya Fang completed her Ph.D. in Physical Geography at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, in 2016. Her academic journey continued with postdoctoral research in Ecology at the same institute from 2016 to 2018, laying a strong foundation in environmental sciences.

Professional Endeavors 💼

Since 2023, Dr. Fang has served as an Associate Professor at the Institute of Botany, Chinese Academy of Sciences, after holding the position of Assistant Researcher from 2018 to 2023. She has also gained international experience as a Visiting Scholar at the Swiss Federal Institute for Forest, Snow, and Landscape Research (2019-2020) and contributes to the scientific community as an Associate Editor for Dendrochronologia and board member for several ecological journals.

Contributions and Research Focus 🔍

Dr. Fang has led significant research projects, including studies on tree ecological resilience and the Tamarix arbor phenomenon in Qinghai. Her work emphasizes forest ecology, dendrochronology, and climate change, advancing knowledge on tree resilience and ecological memory, particularly under climate stress.

Impact and Influence 🌍

With an H-index of 10 and 24 published research papers—19 as first or corresponding author—Dr. Fang’s work has influenced forest resilience assessments and the understanding of historical forest decline due to climate change. Her research findings are recognized for enhancing resilience indicators and developing strategies for tree survival in extreme conditions.

Academic Cites 📚

Dr. Fang’s research has appeared in prestigious journals, including Science, Nature Geoscience, and Global Change Biology, showcasing her impactful contributions to the field. Her editorial roles in notable journals reflect her standing in the academic community.

Technical Skills 🛠️

Dr. Fang possesses advanced technical skills in forest ecology research, dendrochronology, and climate change analysis. Her expertise enables her to conduct in-depth assessments of ecological resilience and historical growth patterns of forest trees.

Teaching Experience 👩‍🏫

As an Associate Professor, Dr. Fang engages in teaching and mentoring students in ecology and environmental sciences, fostering the next generation of researchers. Her academic background enhances her ability to convey complex concepts effectively.

Legacy and Future Contributions 🔮

Dr. Fang’s ongoing research, including a forthcoming book on forest tree health, underscores her commitment to understanding ecological systems and contributing to sustainability. Her work aims to shape future research directions in forest ecology and climate adaptation strategies.

In summary, Dr. Ouya Fang’s academic and professional journey is marked by significant contributions to forest ecology, demonstrating her dedication to advancing knowledge and fostering resilience in natural systems.

 

Top Noted Publications 📖

Tree-growth synchrony index, an effective indicator of historical climatic extremes
    • Authors: Hengfeng Jia, Jiacheng Zheng, Jing Yang, Lixin Lyu, Yuntao Dong, Ouya Fang
    • Journal: Ecological Processes
    • Year: 2024
Reducing continuous synchrony is an inherent property of tree growth in forests
    • Authors: Zhang, Q.-B.; Jia, H.; Zheng, J.; Fang, O.; Yang, J.; Langzhen, J.-Y.; Hebda, R.J.
    • Journal: Research Square
    • Year: 2023
Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium
    • Authors: Chen, F.; Man, W.; Wang, S.; Esper, J.; Meko, D.; Büntgen, U.; Yuan, Y.; Hadad, M.; Hu, M.; Zhao, X. et al.
    • Journal: Nature Geoscience
    • Year: 2023
Linkage between spruce forest decline and cloud cover increase in the Qilian Mountains of the northeastern Tibetan Plateau
    • Authors: Jing Yang, Baowei Zhao, Jiacheng Zheng, Qi Zhang, Yan Li, Fuhai Ma, Ouya Fang
    • Journal: Trees
    • Year: 2023
Tree-ring evidence of ecological stress memory
    • Authors: Yumei Mu, Lixin Lyu, Yan Li, Ouya Fang
    • Journal: Proceedings of the Royal Society B: Biological Sciences
    • Year: 2022
Non-linear modelling reveals a predominant moisture limit on juniper growth across the southern Tibetan Plateau
    • Authors: Hengfeng Jia, Ouya Fang, Lixin Lyu
    • Journal: Annals of Botany
    • Year: 2022