Natalia Schwien | Cognitive Anthropology | Best Researcher Award

Ms. Natalia Schwien | Cognitive Anthropology | Best Researcher Award

Harvard University | United States

Natalia Schwien Scott (she/they) is a multidisciplinary scholar, herbalist, and wildlife rehabilitation apprentice currently pursuing a Ph.D. in the Study of Religion at Harvard University. Her work bridges ecology, spirituality, and relational ontologies, exploring the interconnection between the human and more-than-human worlds. She holds a Master of Theological Studies from Harvard Divinity School with a concentration in ecology and spiritual practice, and an M.A. in English Literature from Middlebury College’s Bread Loaf School, focusing on science fiction and fantasy. Natalia integrates her academic research with over two decades of herbalist practice and hands-on wildlife care. She is the Associate Director of Harvard’s Program for the Evolution of Spirituality and leads “Interspecies Dialogues,” a transdisciplinary forum on animism and posthumanism. Natalia’s research, essays, and interviews have been published in peer-reviewed journals and featured in prominent media. She also releases music under the moniker Ellayo and curates multimedia content at selkieprojects.com

Profile

ORCID

Education

Natalia’s educational journey reflects her deep engagement with interdisciplinary study. She is currently pursuing a Ph.D. in the Study of Religion at Harvard University, focusing on comparative religion and science, with a secondary emphasis in Celtic Languages and Literatures. She also holds a Master of Theological Studies from Harvard Divinity School, where she concentrated on ecology and spiritual practice. Complementing this, she earned a Master of Arts from Middlebury College’s Bread Loaf School of English with a literary focus on science fiction and fantasy. Natalia has studied at Oxford University’s Lincoln College and completed a graduate summer program at the University of Amsterdam. Her undergraduate degree is a B.F.A. from New York University’s Tisch School of the Arts. She possesses translation competence in Old Irish, German, French, and Latin, alongside elementary proficiency in contemporary Irish—skills that enhance her exploration of myth, folklore, and scientific discourse in both historical and modern contexts.

Experience

Natalia’s professional experience spans academia, environmental sustainability, and interspecies advocacy. At Harvard University, she serves as Associate Director of the Program for the Evolution of Spirituality and Associate Editor of the Thinking with Plants & Fungi initiative. She facilitates interdisciplinary dialogues through “Interspecies Dialogues,” featuring scholars and practitioners on animism and posthumanism. She has held multiple Teaching Fellow roles across departments, including Anthropology, Celtic Studies, and Divinity. Formerly, Natalia worked as a Sustainability Specialist at Middlebury College’s Franklin Environmental Center. Her ecological advocacy includes wildlife rehabilitation apprenticeships in Vermont and Massachusetts, where she worked with Wild on Blissville, ParkHill Wildlife Rehab, and Newhouse Wildlife Rescue. She has over 20 years of herbalist practice, including a three-year apprenticeship with Vanessa Chakour. Natalia’s teaching, organizing, and publishing reflect her commitment to relational ethics, ecological justice, and knowledge pluralism that spans academic, artistic, and indigenous traditions.

Awards and Honors

Natalia has garnered recognition for her interdisciplinary excellence, spiritual-ecological scholarship, and public engagement. While specific named awards are not listed, her selection as Associate Director of Harvard’s Program for the Evolution of Spirituality reflects institutional recognition of her leadership and innovation. Her editorial role with Harvard University Press’s forthcoming Thinking with Plants & Fungi volume further underscores her scholarly merit. Her academic work has been published in peer-reviewed journals like Pomegranate and Museum Anthropology, and her thought leadership has been featured in public-facing platforms including The New Yorker, New York Magazine, Vice, and For The Wild. Her appointment as co-facilitator and organizer of multiple Harvard-based workshops and reading groups evidences peer and faculty trust. Additionally, her music project Ellayo and writing projects reflect an ability to bridge intellectual work with artistic and spiritual communities—an integrative approach increasingly recognized in cutting-edge religious and ecological studies

Research Focus

Natalia’s research explores relational ontologies, posthuman ethics, and plant consciousness through the lens of religious studies and Celtic literature. Her work interrogates scientific and theological conceptions of personhood, particularly regarding plants, animals, and other nonhuman entities. She examines how premodern and indigenous cosmologies intersect with contemporary ecological crises and philosophical discourse, often engaging animism, myth, and folklore to decenter anthropocentric narratives. Her doctoral research at Harvard weaves together religious thought, Old Irish mythology, and scientific language to address how societies conceptualize interspecies relationships. Her peer-reviewed articles explore themes like plant personhood and the role of nonhuman remains in natural history museums. She also co-edits the forthcoming volume Thinking with Plants & Fungi, engaging scholars across disciplines. Her academic contributions are complemented by field practices in herbalism and wildlife care, positioning her as a researcher deeply grounded in embodied ecological practice and interspecies relationality.

 

Publications

The Relics of Science: Nonhuman Bodies in Natural History and Zoological Museum
Year: 2025

The Plant Delighteth: Plant Personhood in the Study of Western Esotericism
Year: 2025

Conclusion

Natalia Schwien Scott is a dynamic scholar-practitioner whose interdisciplinary work at the intersection of ecology, religion, and posthuman studies advances both academic inquiry and real-world interspecies care through research, teaching, and community engagement.

Nuray Alaca | Motor İmagery | Best Researcher Award

Prof Dr. Nuray Alaca | Motor İmagery | Best Researcher Award

 

Profile

Education

She completed her Doctorate in Physiology at Marmara University, Institute of Health Sciences, Turkey, from 2011 to 2015. Prior to that, she earned her Postgraduate degree in Orthopedic Rehabilitation from the same institute between 1999 and 2002. Her academic journey began with an Undergraduate degree in Physiotherapy and Rehabilitation from Istanbul University, School of Physical Therapy and Rehabilitation, where she studied from 1995 to 1999.

Research 

Her research focuses on physiotherapy and rehabilitation, with a strong academic background in the field. She has been serving as an Associate Professor at Acibadem Mehmet Ali Aydinlar University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, since 2021. Prior to this, she worked as an Assistant Professor from 2016 to 2021 and as a Lecturer from 2011 to 2015 at the same institution.

She has been actively involved in various research projects in physiotherapy and rehabilitation, supervising both postgraduate and doctoral students. Her ongoing research includes a randomized controlled trial on graded motor imagery as an adjunct to physiotherapy in chronic rotator cuff-related pain and an investigation into the sensorimotor representation of body schema in adolescent idiopathic scoliosis compared to healthy individuals. In 2024, she supervised a postgraduate study on the effect of manual lymph drainage in treating breast edema in patients undergoing breast-conserving surgery and adjuvant radiotherapy. Additionally, she is leading a doctoral study examining the effects of tactile stimulation, swimming exercise, or their combination on oxidative stress, inflammation, amyloid beta, neurogenesis, neurotrophic factors, and molecular signaling in an Alzheimer’s model. Her recent research includes a 2023 retrospective study on the effects of tumor type and treatments on lymphedema levels in breast cancer patients undergoing complex decongestive lymphedema therapy. She also supervised a 2021 postgraduate study exploring the effects of swimming exercise, low-level laser, or their combination on degeneration, inflammation, oxidative stress, utrophin protein, and irisin peptide in Duchenne muscular dystrophy (MDX) mice.

Publication

  • Comparison of Pressure Feedback Biofeedback Training with Conventional Lumbar Dynamic Strength Exercises for Chronic Low Back Pain: A Prospective Randomized Trial.

    Alternative therapies in health and medicine
    2024-11-18 | Journal article
    PMID: 39565706
    CONTRIBUTORS: Öztürk Ü; Çörekçi AA; Alaca N; Subaşı F
  • Comparison of static balance and pressure distribution in individuals with unilateral lower limb amputation: The role of barefoot, heel support, and vision.

    Prosthetics and orthotics international
    2024-11-08 | Journal article | Author
    PMID: 39514704
    CONTRIBUTORS: Tatar Y; Nilüfer Kablan; Nejla Gercek; Nuray Alaca
  • Kinesiophobia, physical activity levels and barriers in breast cancer patients, survivors, and healthy controls: A case-control analysis.

    JPMA. The Journal of the Pakistan Medical Association
    2024-08-01 | Journal article
    PMID: 39160708
    CONTRIBUTORS: Alaca N; Karayazi KT; Arslan DC; Karakus MB; Uras C
  • The immediate effect of thoracolumbar fascia taping on biomechanical properties, low back pain and balance in individuals with transfemoral amputation.

    Journal of back and musculoskeletal rehabilitation
    2024-01 | Journal article
    PMID: 38517772
    CONTRIBUTORS: Çalışkan Z; Alaca N; Kablan N

Ling Mei | Cognitive Science | Best Researcher Award

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

Orcid

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. 🌟