Nuray Alaca | Motor İmagery | Best Researcher Award

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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
    DOI: 10.1097/pxr.0000000000000403
    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
    DOI: 10.47391/jpma.10558
    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
    DOI: 10.3233/bmr-230314
    PMID: 38517772
    CONTRIBUTORS: Çalışkan Z; Alaca N; Kablan N

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

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. 🌟