Grit Hein | Social Neuroscience | Best Paper Award

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prof. Grit Hein | Social Neuroscience | Best Paper Award

 

Universität Würzburg, Germany

Profile

Education

She studied Psychology at Humboldt-University in Berlin, Germany, and City College in New York, USA, completing her diploma in 1999 with a grade of “very good.” She earned her doctorate in 2002 at the Max-Planck-Institute for Human Cognitive and Brain Sciences in Leipzig and Humboldt-University in Berlin. Her academic and professional career progressed through various prestigious positions. In 2002, she began as a research associate at MRC Cambridge, UK, and the University Hospital Frankfurt/M. She then received a DFG-Research Stipend in 2006, conducting research at the Helen Wills Neuroscience Institute, University of Berkeley, USA. In 2008, she was awarded the Society-in-Science Stipend and became a Principal Investigator in an independent research project at the University of Zürich, Switzerland. She completed her habilitation and obtained her Venia Legendi in Psychology at Goethe-University Frankfurt/M. in 2014. She later served as a Senior Lecturer at the University of Bern, Switzerland, in 2015. In 2017, she was appointed as a Heisenberg Professor at JMU Würzburg, where she continued to advance her research. In 2021, she became a Professor of Translational Social Neuroscience at JMU Würzburg and a Steering Committee Member of the Research Training Group RTG 2660, working alongside Professor Dr. Matthias Gamer in Psychology.

Work experience

Since 2024, she has served as the President of the European Social and Affective Neuroscience Association (ESCAN) – Special Interest Group Social Neuroscience and as the spokesperson for the Neuroscience section at the Graduate School of Life Sciences (GSLS), JMU. Previously, from 2021 to 2024, she held the position of Vice President of ESCAN. Since 2022, she has been a board member of the China-Competence Center at JMU, and since 2021, she has been an Executive Board and Steering Committee Member of the Research Training Group RTG 2660. Her engagement in the research system extends further, as she has been a board member of ESCAN since 2019 and a member of the mentoring program for young female scientists at UKW, JMU. Additionally, she holds a double affiliation with both the Medical Faculty and the Faculty of Human Science at JMU. Since 2018, she has contributed as a panel member of the Hillary Green Research Fund at the University of Birmingham, a standing member of the dissertation committee at UKW, JMU, and a member of the Degree Subject Committee of the Elite Graduate Program in Translational Neuroscience at JMU. She has also supervised numerous early-career researchers, including Anne Saulin, who completed her PhD in 2023 with magna cum laude and is now a DFG postdoctoral fellow at the University of Birmingham, UK; Marthe Gründahl, who also earned her PhD in 2023 with magna cum laude and is now a consultant at Bain & Company; and Dorothee Bruch, who obtained her MD in 2022 with magna cum laude and is currently practicing as a gynecologist.

She has received several prestigious academic distinctions throughout her career. In 2023, she was honored with an award for her extraordinary contribution to teaching by the Medical Faculty and the President of JMU. In 2015, she was awarded the Heisenberg Fellowship by the German Research Foundation, recognizing her outstanding research achievements. Earlier in her career, she received the Branco-Weiss Fellowship from ETH Zürich in 2008 and the Emmy-Noether Fellowship from the German Research Foundation in 2005, both of which supported her innovative research endeavors.

Publication

Ling Mei | Cognitive Science | Best Researcher Award

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Dr. Ling Mei | Cognitive Science | Best Researcher Award

Doctorate at Wuhan University of Science and Technology, China

Dr. Ling Mei is an accomplished researcher in artificial intelligence and cognitive science, with a robust academic and professional background. He holds a Ph.D. in Engineering from Sun Yat-sen University, one of China’s top universities, and completed a prestigious visiting scholar program at the University of British Columbia (UBC). Currently serving as a tenured faculty and master’s supervisor, Dr. Mei has published 16 papers, including 7 in SCI-indexed journals, contributed to nine books, and has three national invention patents granted. Recognized as a Provincial Research Talent of China in 2024, he work integrates advanced computational models with societal needs, such as urban planning and public safety. Dr. Mei has collaborated internationally with top-tier institutions like UBC and Carnegie Mellon University, cementing he reputation as a leader in he field.

Profile

Google Scholar

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Education 🎓

Dr. Mei earned he Ph.D. in Engineering from Sun Yat-sen University in 2021, a prestigious institution ranked among China’s top 10 universities. He academic journey also includes a year-long visiting scholar program at the Department of Computer Science, UBC, as part of the National Outstanding Young Researchers Program. This international exposure provided he with cutting-edge knowledge and interdisciplinary skills, enabling he to excel in artificial intelligence and cognitive science.

Work Experience 💼

Currently, Dr. Mei is a tenured faculty member and master’s supervisor at a leading Chinese university. He experience includes overseeing multiple research projects, consulting on seven industry-sponsored projects, and serving as a reviewer for the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. He has also been instrumental in fostering international collaborations with institutions like UBC and CMU, contributing to impactful research publications and patents.

Awards and Honors

In 2024, Dr. Mei was recognized as a Provincial Research Talent of China, highlighting he exceptional contributions to science and technology. He has also earned accolades through he impactful patents and high-quality publications.

Research Interests

Dr. Mei’s research focuses on artificial intelligence, pedestrian trajectory prediction, and public safety strategies. He innovations include the LSN-GTDA framework, which integrates behavioral and stochastic factors for better uncertainty management. He interdisciplinary approach bridges cognitive science, computational models, and societal applications, ensuring he work’s relevance and impact.

Research Skills

Dr. Mei possesses advanced skills in AI modeling, thermal diffusion processes, and signal and system theory. He expertise includes patent development, SCI journal publications, and interdisciplinary collaborations. He is adept at integrating computational techniques with practical applications, as seen in he trajectory prediction research.

📚 Publications

Crowd Density Estimation via Global Crowd Collectiveness Metric

  • Journal: Drones
  • Date: 2024-10-28
  • DOI: 10.3390/drones8110616
  • Contributors: Ling Mei, Mingyu Yu, Lvxiang Jia, Mingyu Fu

More Quickly-RRT: Improved Quick Rapidly-Exploring Random Tree Star Algorithm Based on Optimized Sampling Point with Better Initial Solution and Convergence Rate*

  • Journal: Engineering Applications of Artificial Intelligence
  • Date: 2024-07
  • DOI: 10.1016/j.engappai.2024.108246
  • Contributors: Xining Cui, Caiqi Wang, Yi Xiong, Ling Mei, Shiqian Wu

Learning Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama

  • Journal: Remote Sensing
  • Date: 2023-02-09
  • DOI: 10.3390/rs15040953
  • Contributors: Ling Mei, Yizhuo He, Farnoosh Fishani, Yaowen Yu, Lijun Zhang, Helge Rhodin

Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform

  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Date: 2020-02
  • DOI: 10.1109/TCSVT.2019.2890861
  • Contributors: Ling Mei, Jianhuang Lai, Xiaohua Xie, Junyong Zhu, Jun Chen

Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image

  • Type: Book Chapter
  • Year: 2018
  • DOI: 10.1007/978-3-030-03335-4_8
  • Contributors: Xiao Liu, Ling Mei, Dakun Yang, Jianhuang Lai, Xiaohua Xie

Conclusion 

Dr. Ling Mei is a strong contender for the Best Researcher Award due to he robust academic background, impactful research, and significant contributions to AI and cognitive science. To further enhance he candidacy, increasing citation influence and emphasizing community impact would solidify he position as an exemplary researcher deserving of recognition. 🌟