Zhang Shuangqing | cognition | Best Researcher Award

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Prof. Zhang Shuangqing | cognition | Best Researcher Award

Dr. Shuang-Qing Zhang is a distinguished professor at the Department of Nutrition and Metabolism, National Institute for Nutrition and Health, Chinese CDC, Beijing. With a robust academic background in pharmaceutics and over two decades of research experience, he has significantly contributed to the fields of pharmacokinetics, nutritional toxicology, and functional food safety. His global expertise is enriched through international collaborations, notably as a visiting senior fellow at the National University of Singapore and postdoctoral research in the USA. Dr. Zhang is a prolific author with numerous high-impact publications and is a respected editor across 20+ international journals. His research interests span selenium and cognitive function, nanoparticle drug delivery, and health food safety evaluation. He actively serves on multiple scientific committees and advisory boards in China. Through his innovative projects and policy-informing studies, Dr. Zhang continues to shape national nutrition, drug safety, and public health discourse.

Profile

🎓 Education

Dr. Shuang-Qing Zhang holds a Ph.D. in Pharmaceutics from Peking University (2002–2005), after earning both B.S. and M.S. degrees in Pharmaceutics from Shenyang Pharmaceutical University (1995–2002). His academic foundation was solidified through extensive training in drug formulation, pharmacokinetics, and pharmaceutical sciences. He further advanced his expertise as a postdoctoral researcher at the University of Mississippi and Texas Tech University (2005–2008), focusing on drug metabolism and toxicokinetics. In 2013–2014, he served as a Visiting Senior Research Fellow at the Yong Loo Lin School of Medicine, National University of Singapore, where he explored translational nutrition research. This diverse and international academic training underpins his authoritative voice in pharmaceutics, toxicology, and nutrition science, and continues to inform his interdisciplinary research on health food safety, pharmacodynamics, and nanomedicine.

🧪 Experience

Dr. Zhang began his professional journey as a postdoctoral researcher in the United States before returning to China as an Associate Professor at the National Institutes for Food and Drug Control (2010–2012), specializing in drug metabolism and safety. Since 2012, he has been a Professor at the Chinese CDC’s Department of Nutrition and Metabolism, leading pioneering work in nutritional toxicology, pharmacokinetics, and health food evaluation. He serves as an expert evaluator for China’s major scientific funding and regulatory agencies, including the National Natural Science Foundation and Ministry of Science and Technology. Dr. Zhang also plays advisory roles in national health committees related to environmental mutagens and food safety. His dedication extends to editorial duties for over 20 journals and authorship of influential monographs in toxicology and nutriomics. He actively mentors scholars, oversees major research grants, and contributes to national policy development in food and drug safety.

🏅 Awards and Honors

Dr. Zhang has earned national recognition through prestigious funding awards such as the National Natural Science Foundation of China, Scientific Research Foundation for Returned Overseas Chinese Scholars, and multiple provincial and national-level research programs. His leadership in interdisciplinary projects addressing osteoporosis, cancer drug development, and nanoparticle therapeutics has positioned him as a trusted advisor to government science bodies. In 2015 and 2019, he was a recipient of the National Publication Foundation Support for his authored books on nutriomics and medical foods. As an editorial board member and guest editor for numerous international scientific journals, Dr. Zhang has been honored for his editorial leadership and influence in the scientific publishing community. He is a Distinguished Professor at the Chinese Academy of Agricultural Sciences and a standing or core member of several scientific committees across nutrition, toxicology, pharmacology, and food science sectors.

🔬 Research Focus

Dr. Zhang’s research encompasses nutritional pharmacology, drug metabolism, toxicokinetics, and functional food safety. He is internationally recognized for his studies on selenium’s role in cognitive function, publishing extensively on selenium intake, pharmacokinetics, and its neuroprotective effects in aging populations. His lab investigates nanoparticle-based drug delivery systems, targeting conditions like postmenopausal osteoporosis and cancer, with a focus on osteoblast-specific biomimetic designs. Another focal point is the pharmacodynamics of poly(L-glutamic acid)-paclitaxel conjugates, offering solutions to multi-drug resistance. Dr. Zhang also leads efforts in evaluating the safety and bioavailability of functional foods, including selenium-, zinc-, and chromium-enriched yeasts, using advanced techniques like UPLC-MS/MS and ion chromatography. His interdisciplinary research integrates toxicology, nutrition, and pharmaceutical science to bridge clinical translation and public health applications, while also informing regulatory policy on dietary intake thresholds and novel drug safety assessments in China and beyond.

✅ Conclusion

Dr. Shuang-Qing Zhang is a globally respected professor and scientist whose impactful research on nutritional pharmacology, selenium neurobiology, and nanomedicine has significantly advanced food and drug safety, earning him national recognition, global collaborations, and editorial leadership.

Publications

1. Bai YZ, Gao YX, Zhang SQ*. Identification of factors on blood selenium levels
in the US adults: a cross-sectional study. Nutrients, 2024, 16(11): e1734.
2. Bai YZ, Zhang SQ*. Selenium intake is an effective strategy for the
improvement of cognitive decline in low cognition older Americans. Int J Food
Sci Nutr. 2024, 75(7): 687-694. (* corresponding author)
3. Bai YZ, Li JM, Zhang SQ*. A nonlinear association between total selenium
intake and blood selenium concentration: an analysis based on the National
Health and Nutrition Examination Survey 2011-2018. J Food Sci. 2024,
89(12): 9955-9967. (* corresponding author)
4. Li JM, Bai YZ, Liu QY, Zhang SQ*. Mediation effect of oxidative stress on the
association between selenium intake and cognition in American adults.
Nutrients, 2024, 16(23): e4163. (* corresponding author)

 

 

 

 

Lin Zhou | Cognitive Development | Best Researcher Award

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Assoc. Prof. Dr. Lin Zhou | Cognitive Development | Best Researcher Award

Dr. Zhou Lin is an accomplished Associate Professor at Shandong Sport University, serving as a master’s supervisor and Deputy Director of the Sports Rehabilitation Research Center. A recipient of the May 4th Outstanding Youth Medal from the Shanghai Health System and the Hebei Doctoral Innovation Program award, Dr. Zhou has made notable contributions to sports rehabilitation. With extensive clinical and academic experience, she focuses on musculoskeletal rehabilitation, cognitive function promotion through exercise, and digital health. She previously worked at Huadong Hospital, Fudan University, where she specialized in neurorehabilitation and orthopedic recovery. Dr. Zhou is actively engaged in scholarly activities, having published over 20 peer-reviewed articles in SCI/SSCI/CSCD journals, and serves as an editorial board member and reviewer for top international journals. Her current academic service includes membership in the Pediatric Rehabilitation Committee (DCD Group) of the Chinese Association of Rehabilitation Medicine.

Professional Profile

Education

Dr. Zhou Lin holds a strong academic foundation in medicine and rehabilitation sciences. She earned her Bachelor’s degree in Clinical Medicine, followed by a Master’s degree in Sports Rehabilitation, and subsequently completed her Doctorate in Sports Human Science. Her academic training spans clinical diagnostics, physical therapy, and the integration of kinesiology and cognitive health. The multi-disciplinary nature of her educational background equips her with a robust skill set for addressing complex health issues, particularly in musculoskeletal and neurological rehabilitation. Dr. Zhou’s academic journey reflects her deep commitment to both foundational medical science and applied rehabilitation practices. Her studies have enabled her to investigate the mechanisms of human movement and recovery while emphasizing evidence-based, life-cycle health interventions, making her an influential figure in China’s sports medicine and rehabilitation research landscape.

Experience

Dr. Zhou Lin began her clinical career in 2008 at Huadong Hospital affiliated with Fudan University, where she worked until 2016 in the Department of Rehabilitation. Her practice focused on orthopedic and neurorehabilitation, managing conditions like sports injuries, spinal pain syndromes, osteoarthritis, and post-surgical recovery. She is proficient in a range of physical therapy techniques, including Maitland and Mulligan joint mobilizations, PNF, Bobath, Brunnstrom, Rood therapies, McKenzie diagnostics, and kinesiology taping. After transitioning into academia, she became an Associate Professor at Shandong Sport University, where she also supervises graduate students and coordinates research at the Sports Rehabilitation Research Center. Additionally, she has served in national rehabilitation societies, including the DCD Group of the Pediatric Rehabilitation Committee and previously as a youth member of Shanghai Rehabilitation Medical Association committees. Her rich blend of clinical and academic roles uniquely positions her to train future practitioners while contributing to the development of rehabilitation science.

Research Interests

Dr. Zhou Lin’s research focuses on musculoskeletal rehabilitation, exercise-cognition interactions, and digital health promotion. Her work emphasizes improving physical function and cognitive well-being across the human lifespan through scientifically structured rehabilitation programs. She explores the interplay between physical activity and mental performance, especially in populations affected by neurological or orthopedic conditions. Additionally, her interest in digital health tools aligns with the growing need for tech-enabled, personalized rehabilitation strategies. Dr. Zhou has been involved in multiple high-impact research initiatives, including a project under the Hebei Doctoral Innovation Program, and has contributed to national and provincial research efforts like the National Social Science Foundation, Shandong Province Key R&D Plan, and Hebei Virtual Simulation Projects. Her role as an editor and reviewer for over ten international SCIE-indexed journals underlines her thought leadership and scientific influence in the global rehabilitation and public health communities.

Awards

Dr. Zhou Lin has been recognized for her excellence in healthcare and research with several prestigious awards. Notably, she received the May 4th Outstanding Youth Medal from the Shanghai Health System, an honor bestowed upon emerging leaders making impactful contributions in the medical field. She was also selected for the Hebei Province Doctoral Innovation Program, highlighting her innovative research contributions in sports rehabilitation. Her editorial roles in high-impact journals such as Journal of Medical Internet Research, BMC Public Health, Frontiers in Psychology, and Frontiers in Public Health demonstrate her recognition at the global level. Over the past three years, she has published 23 research articles in top-tier SCI, SSCI, and CSCD journals. These honors reflect her commitment to advancing rehabilitation science and promoting interdisciplinary innovations that improve patient care and health outcomes through evidence-based interventions and digital technologies.

Conclusion

Dr. Zhou Lin is a dynamic researcher, clinician, and educator whose interdisciplinary expertise in musculoskeletal rehabilitation, cognitive health, and digital innovation places her at the forefront of sports rehabilitation science in China and internationally.

 Publications

  • Understanding parental support for children’s 24‐hour movement behaviors based on an adapted HAPA framework: A three‐wave prospective study

    Applied Psychology: Health and Well-Being
    2025-06 | Journal article
    DOI: 10.1111/aphw.70034
    Part ofISSN: 1758-0846
    Part ofISSN: 1758-0854
    CONTRIBUTORS: Wei Liang; Guifang Liu; Ning Su; Ryan E. Rhodes; Yanping Duan; Chun-Qing Zhang; Lingfei Wang; Lin Zhou; Hanxiao Zhu

  • Associations of Reallocating Sedentary Time to Physical Activity and Sleep with Physical and Mental Health of Older Adults

    Medicine & Science in Sports & Exercise
    2024-10 | Journal article
    DOI: 10.1249/mss.0000000000003491
    Part ofISSN: 1530-0315
    Part ofISSN: 0195-9131
    CONTRIBUTORS: WEI LIANG; YANPING WANG; NING SU; HUIQI SONG; RYAN E. RHODES; XIANG WANG; BORUI SHANG; LIN ZHOU; QIAN HUANG; DANRAN BU et al.

  • Adherence to 24-Hour Movement Guidelines Among Chinese Older Adults: Prevalence, Correlates, and Associations With Physical and Mental Health Outcomes

    JMIR Public Health and Surveillance
    2024-06-13 | Journal article | Author
    DOI: 10.2196/46072
    Part ofISSN: 2369-2960
    CONTRIBUTORS: Wei Liang; Yanping Wang; Qian Huang; Borui Shang; Ning Su; Lin Zhou; Ryan E. Rhodes; 0000-0002-9093-7897; Yanping Duan

  • Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study

    Journal of Medical Internet Research
    2024-06-03 | Journal article | Author
    DOI: 10.2196/52457
    Part ofISSN: 1438-8871
    CONTRIBUTORS: wenfei cai; Wei Liang; HUAXUAN LIU; Rundong Zhou; Given Names Deactivated Family Name Deactivated; Lin Zhou; Ning Su; Hanxiao Zhu; Yide Yang

  • Individual, family, and environmental correlates of fundamental motor skills among school-aged children: a cross-sectional study in China

    BMC Public Health
    2024-01-17 | Journal article
    DOI: 10.1186/s12889-024-17728-2
    Part of ISSN: 1471-2458
    CONTRIBUTORS: Yuxiu He; Lin Zhou; Wei Liang; Qi Liu; Wanxin Liu; Shijian Wang

Ang Guo | Problem Solving | Best Researcher Award

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Mr. Ang Guo | Problem Solving | Best Researcher Award

Guo Ang is a dedicated graduate student in Mechanical Engineering at Liaoning University of Technology, China, with a strong academic background and emerging research contributions in advanced manufacturing. He completed his Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Luoyang Institute of Science and Technology. Guo’s master’s research focuses on ultrasound-assisted in-situ preparation of chromium carbide-reinforced nickel-based cladding layers, a topic at the intersection of materials science and surface engineering. Under the supervision of Prof. Li Jinhua, he has developed innovative experimental methods to explore grain refinement in cladding processes. With one journal manuscript under review and strong lab collaboration, Guo is steadily building his academic profile. He is committed to pushing boundaries in multi-functional laser additive manufacturing. His work holds potential applications in enhancing material durability and performance, making significant contributions to industrial engineering practices. Guo is a promising candidate for the Best Research Scholar Award due to his innovation and diligence.

Profile

🎓 Education

Guo Ang is currently pursuing a Master’s degree in Mechanical Engineering at Liaoning University of Technology, where he is expected to graduate in June 2025. His postgraduate research emphasizes advanced laser additive manufacturing techniques, particularly ultrasonic-assisted in-situ preparation methods. Before this, he completed his undergraduate studies at Luoyang Institute of Science and Technology, earning a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. During his education, Guo has shown consistent academic excellence and technical curiosity, especially in the field of surface engineering and material coatings. He has gained in-depth knowledge of ultrasonic mechanisms, metallurgical processes, and composite layer formation. Guo’s academic trajectory is characterized by a hands-on approach to experimental mechanics, microstructure analysis, and the development of new coating technologies for industrial applications. His education reflects a blend of theoretical grounding and practical research capabilities that make him well-prepared for a future in advanced manufacturing research and technology innovation.

🧪 Experience

Guo Ang is a graduate researcher at Liaoning University of Technology with focused experience in experimental material science. While currently at an early stage in his professional career, he has played a pivotal role in ongoing laboratory research related to ultrasonic-assisted surface engineering. Working closely with Prof. Li Jinhua and a dedicated team of lab members, he has contributed to experimental setups, data analysis, and microstructural evaluation of laser-cladded coatings. His key experience lies in exploring how ultrasonic frequencies influence coating grain structures, leading to the development of innovative hypotheses about grain refinement mechanisms. Guo’s technical experience includes operating advanced manufacturing equipment, analyzing surface morphology, and characterizing metallurgical phases. Though he has not yet been involved in industry collaborations or consulting projects, his academic lab work demonstrates a high level of initiative, problem-solving, and collaborative research ability. This foundational experience has prepared him to contribute significantly to applied research and innovation in mechanical engineering.

🏅 Awards and Honors

Although Guo Ang is at an early stage of his academic career, he is actively building a foundation for future recognition. He has been nominated for the Best Research Scholar Award, which acknowledges his potential and progress in ultrasonic-assisted composite layer manufacturing. While he has not yet received formal awards, his ongoing contributions have earned recognition within his academic community, particularly from his supervisor, Prof. Li Jinhua. The submission of his research manuscript to the Journal of Alloys and Compounds reflects growing scholarly engagement. His novel approach to analyzing the effect of ultrasonic frequencies on grain size has been commended for its originality and applicability in advanced surface engineering. These accomplishments, though in progress, indicate a promising future in scientific innovation. As his research matures and gains peer-reviewed publication status, Guo is expected to garner further accolades in the field of laser additive manufacturing and composite material engineering.

🔬 Research Focus

Guo Ang’s research is centered on ultrasound-assisted in-situ preparation of chromium carbide-reinforced nickel-based cladding layers, a promising domain within surface engineering and additive manufacturing. His work explores how varying ultrasonic frequencies influence microstructural characteristics—specifically grain size—during the cladding process. The core hypothesis challenges conventional assumptions by proposing that increased ultrasonic frequency results in finer grains, a finding with implications for coating durability and wear resistance. Guo also investigates the thermodynamic and metallurgical phenomena underlying particle dispersion and solidification behavior during laser cladding. This research integrates simulation and hands-on experimental design to validate theoretical models, providing a dual approach to innovation. In collaboration with Prof. Li Jinhua and his lab team, Guo is advancing methodologies that could be pivotal for industrial applications requiring high-performance, wear-resistant coatings. His broader interests include multifunctional field composite manufacturing and smart surface engineering, aiming to enhance mechanical properties and performance in real-world engineering environments.

✅ Conclusion

Guo Ang is an emerging scholar in mechanical engineering whose innovative research on ultrasonic-assisted cladding methods reflects both academic rigor and practical relevance, making him a strong candidate for the Best Research Scholar Award and a promising contributor to the future of advanced materials and manufacturing science.

Publications

  • Effect of Ultrasonic Vibration on Microstructure and Properties of Ni‐Based Cladding Layers Reinforced by Chromium Carbide In Situ Generated

    Advanced Engineering Materials
    2025-06-03 | Journal article
    DOI: 10.1002/adem.202500105
    Part of ISSN: 1438-1656
    Part of ISSN: 1527-2648
    CONTRIBUTORS: Jinhua Li; Ang Guo; Yongming Dong; Jincheng Song; Fangping ya

Yi Zhang | Obesity and Inhibitory-control | Best Researcher Award

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Dr. Yi Zhang | Obesity and inhibitory-control | Best Researcher Award

Professor, Xidian University, China

Dr. Yi Zhang is a distinguished neuroscientist and professor at the School of Life Science and Technology, Xidian University, China, where he also directs the Center for Brain Imaging. Born in Xi’an, Shaanxi, China, in 1980, Dr. Zhang has dedicated his academic and research career to exploring the brain’s mechanisms using advanced neuroimaging tools. With a PhD in Pattern Recognition and Intelligent Systems, he combines engineering and neuroscience to investigate conditions like obesity, addiction, and acupuncture effects. He has published over 80 journal articles and served on editorial boards of several high-impact journals. His work emphasizes functional MRI, brain modulation, and neurofeedback to improve cognitive and behavioral health. Recognized with multiple national awards, Dr. Zhang has also served as a visiting scholar in the U.S. and holds memberships in prestigious global neuroscience and medical imaging societies. His research continues to drive innovation in non-invasive brain intervention and signal processing techniques.

Profile

🎓 Education

Dr. Yi Zhang’s academic journey is rooted in Xidian University, Xi’an, China, where he earned his Bachelor’s degree in Electronic Engineering in 2003. He continued his postgraduate studies in the same institution, receiving his Master’s degree in 2006 and PhD in 2009 in Pattern Recognition and Intelligent Systems, focusing on integrating engineering and intelligent control with neural research. His passion for bridging technology and life sciences led him to further his academic exposure abroad. From 2010 to 2011, he was a visiting scholar at the Department of Psychiatry and McKnight Brain Institute at the University of Florida College of Medicine in the United States. This international experience broadened his expertise in functional MRI and advanced medical imaging. His multidisciplinary educational background has laid a strong foundation for his research in brain imaging, signal processing, and behavioral neuroscience, allowing him to contribute significantly to understanding neural mechanisms in health and disease.

🧪 Experience

Dr. Yi Zhang has had a progressive academic career at Xidian University, starting as a Teaching Assistant in the School of Electronic Engineering (2006–2008), followed by roles as Lecturer (2008–2010), Associate Professor (2010–2015), and Professor since 2015 at the School of Life Science and Technology. His teaching has been complemented by his leadership as Director of the Center for Brain Imaging, where he spearheads interdisciplinary research projects. He has collaborated internationally as a visiting scholar at the University of Florida, enhancing his global perspective in brain imaging. His professional contributions encompass mentoring, publishing, and developing cutting-edge research on obesity, addiction, acupuncture, and real-time neurofeedback. Dr. Zhang has also held key editorial and organizational roles, showcasing his dedication to academic excellence. With over 15 years of continuous experience, he remains a prominent figure in neuroimaging, blending teaching and research to cultivate innovation in neuroscience and intelligent systems.

🏅 Awards and Honors

Dr. Yi Zhang has been the recipient of several prestigious national and institutional honors in recognition of his contributions to neuroscience and medical imaging. In 2022, he received the First Prize of the Shaanxi Higher Education Science and Technology Award for his research on brain modulation in obese patients. His work on acupuncture mechanisms using fMRI earned him First and Second Prizes from the China Society for Stereo Vision and Beijing Natural Science Award in 2015 and 2014, respectively. He was named an Early Career Investigator under the “Hua Mountain Scholar Program” in 2014 and by NIDA’s mini-convention in 2011. Additional accolades include First Prizes from the Shaanxi Higher Education and second prize from the Provincial Science and Technology Award in 2011. These recognitions affirm his innovative work in functional neuroimaging and its applications in cognitive enhancement, pain management, and behavioral intervention. His research continues to garner attention and impact across disciplines.

🔬 Research Focus

Dr. Yi Zhang’s research lies at the intersection of brain science, medical imaging, and behavioral neuroscience. His primary focus is the application of functional Magnetic Resonance Imaging (fMRI) to investigate brain activity in conditions like obesity, heroin addiction, and acupuncture. As Director of the Center for Brain Imaging, he leads studies on real-time neurofeedback to modulate brain functions, especially appetite and reward mechanisms. His work aims to decode neural patterns and develop interventions that influence behavior and cognition. With an engineering background, he also develops advanced signal processing algorithms to handle dynamic, multivariate neurobiological data. His interdisciplinary approach has helped bridge neuroscience and intelligent systems, enabling novel therapeutic strategies. Dr. Zhang’s research has influenced fields like psychopharmacology, neurofeedback therapy, and brain modulation, providing insights into the biological basis of behavior and supporting non-invasive treatment strategies. He has co-authored over 80 journal papers, affirming his position as a leader in neuroimaging innovation.

✅ Conclusion

Dr. Yi Zhang stands out as a visionary neuroscientist whose interdisciplinary expertise in engineering and life sciences advances brain imaging and cognitive neuroscience. Through pioneering research in fMRI, neurofeedback, and brain modulation, he addresses critical health issues like obesity, addiction, and pain. With a distinguished academic record, numerous awards, and a global scholarly presence, Dr. Zhang continues to shape the future of neuroscience research and education through his leadership, innovation, and dedication to improving human health.

Publications

  • A hybrid network integrating convolution and transformer for thymoma segmentation

    Intelligent Medicine
    2023-08 | Journal article
    DOI: 10.1016/j.imed.2022.06.003
    CONTRIBUTORS: Jingyuan Li; Wenfang Sun; Xiulong Feng; Karen M. von Deneen; Wen Wang; Guangbin Cui; Yi Zhang

  • MG-Net: Multi-level global-aware network for thymoma segmentation

    Computers in Biology and Medicine
    2023-03 | Journal article
    DOI: 10.1016/j.compbiomed.2023.106635
    CONTRIBUTORS: Jingyuan Li; Wenfang Sun; Karen M. von Deneen; Xiao Fan; Gang An; Guangbin Cui; Yi Zhang

  • Electroacupuncture enhances resting-state functional connectivity between dorsal caudate and precuneus and decreases associated leptin levels in overweight/obese subjects

    Brain Imaging and Behavior
    2022-02 | Journal article
    DOI: 10.1007/s11682-021-00519-3
    CONTRIBUTORS: Yang He; Karen M. von Deneen; Guanya Li; Borong Jing; Yanyan Zhou; Kaiya Zhang; Yi Zhang; Yuanyuan

  • A dense connection encoding–decoding convolutional neural network structure for semantic segmentation of thymoma

    Neurocomputing
    2021-09 | Journal article
    DOI: 10.1016/j.neucom.2021.04.023
    CONTRIBUTORS: Jingyuan Li; Wenfang Sun; Xiulong Feng; Gang Xing; Karen M. von Deneen; Wen Wang; Yi Zhang; Guangbin Cui

Mehmet Okur | Working Memory Intervention | Memory Mastery Award

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Dr. Mehmet Okur | Working Memory Intervention | Memory Mastery Award

Dr. Mehmet Okur is a researcher and educator specializing in special education, learning disabilities, and cognitive interventions. He holds bachelor’s degrees in Mathematics and Special Education and a Ph.D. in Special Education. As the founder of the Mega-Cognition Center, he develops innovative tools to support cognitive development, attention, and learning difficulties. His research includes early screening tools for learning disabilities, ADHD interventions, and processing speed assessments. Dr. Okur has contributed significantly to special education, collaborating with experts worldwide to advance cognitive and educational research. His work bridges theory and practice, enhancing learning outcomes for individuals with diverse needs.

Profile

Education 🎓

Dr. Mehmet Okur holds dual bachelor’s degrees in Mathematics and Special Education, providing a strong foundation in both analytical and educational sciences. He earned his Ph.D. in Special Education, focusing on cognitive development, learning disabilities, and ADHD. His doctoral research contributed to the development of innovative assessment tools for early detection of learning disabilities. His academic journey includes interdisciplinary studies, integrating cognitive neuroscience with educational psychology. He continuously enhances his expertise through professional training and collaborative research, ensuring his contributions to special education remain cutting-edge and impactful.

Experience 👨‍🏫

Dr. Mehmet Okur has extensive experience in special education, cognitive research, and intervention program development. As the founder of the Mega-Cognition Center, he designs educational tools for children with learning disabilities and ADHD. His work includes developing the ÖGEBTÖ screening tool, processing speed interventions, and attention assessment tests. He collaborates with institutions and researchers to enhance cognitive and learning strategies. Additionally, he has consulted on educational projects, conducted training workshops, and contributed to national and international research initiatives, making a significant impact on special education and cognitive science.

Research Interests 🔬

Dr. Mehmet Okur’s research revolves around learning disabilities, ADHD, cognitive interventions, and early screening tools. He has developed innovative assessment methods like ÖGEBTÖ for early detection of learning disabilities and interventions to improve processing speed. His work also focuses on executive function training, attention development, and working memory enhancement. He collaborates with cognitive scientists and educators to refine assessment tools and intervention strategies. His research bridges neuroscience and education, aiming to create effective solutions for children with learning challenges, ultimately enhancing their cognitive and academic performance.

Awards & Recognitions 🏅

Dr. Mehmet Okur has received recognition for his contributions to special education and cognitive research. His development of the ÖGEBTÖ screening tool earned industry and academic acclaim. He has been honored for his work in cognitive interventions, receiving nominations for prestigious awards like the Memory Mastery Award. His contributions to learning disability research, ADHD interventions, and cognitive assessment tools have been acknowledged by professional societies. His dedication to advancing educational methodologies and his commitment to improving cognitive development continue to earn him accolades in the field.

Publications 📚

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. 🌟