Orquidia G Mendez-Flores | Cognition | Best Faculty Award

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Dr. Orquidia G Mendez-Flores | Cognition | Best Faculty Award

Universidad Juárez Autónoma de Tabasco | Mexico

Dr. Orquidia G. Méndez Flores is a genetics and molecular biology researcher and professor whose academic foundation includes a biology degree followed by advanced training in molecular neuroscience, emphasizing glial transport systems and glutamate regulation. Her professional experience spans teaching and research roles in universities and scientific institutions, contributing to postgraduate programs, thesis supervision, and academic coordination. She has developed expertise in neurochemistry, molecular nutrition, metabolic dysfunction, and neurodegeneration, while her early work explored the protective and nutritional potential of medicinal plants. Her research focuses on mechanisms linking neurotransmission, metabolic imbalance, brain energetics, and neurodevelopment, applying cellular, animal, and human models to understand how metabolic diseases contribute to neurological deterioration. She is skilled in molecular biology techniques, cell culture, biochemical assays, bioinformatics tools, scientific communication, and mentoring emerging scientists. With numerous scientific publications, active participation in national and international congresses, and membership in research systems, she contributes to advancing neuroscience and biomedical knowledge in Mexico. Her honors include recognition as a national researcher and participation in specialized international training programs that strengthen her academic leadership. Overall, Dr. Méndez Flores represents a dedicated scholar committed to integrating molecular research with health sciences education, fostering innovation in understanding and preventing neurodegenerative and metabolic conditions.

Profile: ORCID

Featured Publications

Méndez-Flores, O. G., Costa, A. C. R., de Aguiar, A. F. L., Paes-Colli, Y., Batista, C. M., Ribeiro-Resende, V. T., Ortega, A., & de Melo Reis, R. A. (2025). Extracellular matrix proteins differentiate postnatal mouse retina neurospheres into neurons or glia profiles. Neurochemical Research.

Cigarroa-Durán, J., López-Ramírez, G., Martínez-López, M. C., Castro-Quezada, I., Ortega Soto, A., & Méndez-Flores, O. G. (2025). In young adult males, bitterness perception is associated with excess body mass and metabolic dysregulation. Endocrinología, Diabetes y Nutrición.

Méndez-Flores, O. G., Hernández-Kelly, L. C., Olivares-Bañuelos, T. N., López-Ramírez, G., & Ortega, A. (2024). Brain energetics and glucose transport in metabolic diseases: role in neurodegeneration. Nutritional Neuroscience.

Alina Diana Zamfir | Brain Science | Best Researcher Award

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Prof. Dr. Alina Diana Zamfir | Brain Science | Best Researcher Award

National Institute for R&D in Electrochemistry and Condensed Matter | Romania

Dr. Alina Diana Zamfir is a distinguished Romanian physicist and professor known for her pioneering research in biophysics, mass spectrometry, and biomolecular analysis. She earned her academic degrees in physics from leading Romanian universities, including a Ph.D. in Physics and two habilitations in Biophysics and Physics from prestigious institutions in Romania and Germany. Currently serving as a Senior Scientific Researcher at the National Institute for Research and Development in Electrochemistry and Condensed Matter and as a Professor at Aurel Vlaicu University of Arad, she also mentors doctoral candidates at the West University of Timisoara. Her professional journey includes research and teaching appointments in Germany and collaborations with international universities and corporations. Dr. Zamfir’s research interests focus on mass spectrometry-based proteomics, glycomics, and microfluidics for the analysis of complex biological systems. She is highly skilled in advanced spectrometric analysis, microfluidic platform development, and molecular characterization of biomolecules. A recipient of numerous awards, including the Romanian Academy Prize, the Elsevier Top Cited Article Award, and the Wiley Award, she is also President of the Romanian Society for Mass Spectrometry. Her extensive contributions to molecular biophysics and analytical chemistry continue to advance biomedical innovation and interdisciplinary scientific excellence worldwide.

Profile: Google scholar

Featured Publications

said Pournaghash-tehrani | Neuroscience | Best Faculty Award

Published on by Cognitive Scientist Awards

Dr. said Pournaghash-tehrani | Neuroscience | Best Faculty Award

 

Profile

  • Googlescholar
  • Researchgate

Education

Said Pournaghash-Tehrani earned his Doctor of Philosophy in Psychology in 1993 from The American University in Washington, D.C., where he also completed his Master of Arts in Psychology in 1990. He holds a Bachelor of Science in Distributive Science from the same institution, which he obtained in 1986. Fluent in English and German, he also has familiarity with French. He can be reached via email at spournaghash@yahoo.com or by telephone at 011-98-09122074388.

Work experience
  • Said Pournaghash-Tehrani has extensive academic and research experience in psychology. He served as a Research Associate in 2001 at the Department of Pharmacology and Experimental Therapeutics, Loyola University’s Stritch School of Medicine in Chicago, Illinois. In 2002, he took a sabbatical as a researcher at the Department of Psychology, Carleton University in Ottawa, Canada, focusing on cross-cultural studies related to Iranian attitudes towards the West. Since 2002, he has been an Assistant Professor in the Department of Psychology at Tehran University, having previously held the same position at Azzahra University in Tehran from 1996 to 2001. Additionally, he was a member of the Scientific Council on Energy and Economic Studies at the Institute for International and Political Studies (IPIS) from 1998 to 2000, where he also worked as a political researcher. His early academic career included serving as a Teaching and Research Assistant at The American University’s Department of Psychology from 1987 to 1990, where he contributed to courses such as Introduction to Psychology, Neuroscience Seminar, Psychopharmacology, Neuropsychology, Biological Basis of Behavior, and Learning and Behavior.

Books

–Fundamentals of Clinical Psychopharmacology, (2007); Samt Publications
-Drugs and Behavior, (2004); Samt Publications.
-Physiological Psychology, Tehran University Publication.
-Intimacy; Alzahra University Publication.
-Theories of Addiction, Alzahra University Publication.

Conference Presentations

Said Pournaghash-Tehrani has contributed extensively to neuroscience and psychology research, presenting his findings at prestigious conferences such as the Society for Neuroscience and the Eastern Psychological Association. His work has focused on drug discrimination learning, conditioned taste aversion, and the effects of opioids and their antagonists. In 1987, he co-authored studies assessing the discriminative stimulus properties of naloxone and the failure of cholecystokinin to counteract morphine sulfate’s effects. His later research explored the antagonism of morphine stimuli, the role of buprenorphine in opiate-naive and dependent animals, and the impact of RO15-4513 on ethanol-induced taste aversion. He has collaborated with notable researchers, including A.L. Riley, contributing to investigations on diazepam exposure and behavioral toxicology. His presentations in New Orleans, Washington, D.C., Boston, and other major research venues highlight his significant role in advancing psychopharmacology and behavioral neuroscience.

Publication

Ling Mei | Cognitive Science | Best Researcher Award

Published on by Cognitive Scientist Awards

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. 🌟