yi sub kwak | Physiology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Dr. yi sub kwak | Physiology | Best Researcher Award  🏆

Professor at Dong-Eui university, South Korea.

Dr. Kwak Yi-Sub is a distinguished researcher in exercise physiology and immunology, with extensive academic, teaching, and administrative experience. He is currently the Chairman of Physical Education and Graduate School, Head of the Institute of Sports Science, and Vice-Dean of the College of Sports Science at Dong-Eui University, South Korea. His academic background includes a PhD from Yonsei University, and he has held visiting fellowships at prestigious institutions such as the University of Oxford.

Profile

Scopus

Education 🎓:

Dr. Kwak holds a PhD from a prestigious institution, underscoring his rigorous academic training. He completed his Master’s and Bachelor’s degrees with honors, showcasing his early commitment to excellence in education. His academic journey reflects a passion for research, learning, and contributing to societal progress.

Work Experience 💼:

With extensive experience spanning academia and industry, Dr. Kwak has excelled in diverse roles. From leading cutting-edge research projects to fostering student development, his career embodies a commitment to excellence and innovation.

Awards and Honors 🏆

Dr. Kwak’s contributions have been recognized through numerous awards and honors. These accolades, granted by esteemed institutions, reflect his leadership and impact in advancing research, education, and societal benefit.

Research Interests:

Dr. Kwak’s research centers on [specific fields or topics], aiming to address critical challenges and advance interdisciplinary solutions. His work contributes to impactful innovations, shaping future advancements in his field.

📚 Publications 

  • Impact of Alternating Exercise Intensity Interventions on the Physical and Mental Health of Middle-Aged and Young Men
    Authors: Yang, F., Kwak, Y.-S.
    Citations: 0
    Year: 2024
  • A Study of the Tennis Trust-Based System on the Psychology and Cognition of Amateur Tennis Enthusiasts
    Authors: Yang, F., Kwak, Y.-S.
    Citations: 0
    Year: 2024
  • Oxidative Stress and Vascular Dysfunction: Potential Therapeutic Targets and Therapies in Peripheral Artery Disease
    Authors: Allen, M.F., Park, S.-Y., Kwak, Y.-S.
    Citations: 1
    Year: 2024
  • The Practical Analysis of Exercise-Intervention on Suicidal Ideation
    Authors: Kim, K.B., Kwak, Y.-S.
    Citations: 0
    Year: 2024
  • The Impact of Exercise on Depression: How Moving Makes Your Brain and Body Feel Better
    Authors: Hossain, M.N., Lee, J., Choi, H., Kwak, Y.-S., Kim, J.
    Citations: 1
    Year: 2024
  • Factors Affecting Weight Management in Overweight or Obese Diabetic Patients: The 2018-2021 Korea National Health and Nutrition Examination Survey
    Authors: Yeun, Y.-R., Kwak, Y.-S., Kim, H.-Y.
    Citations: 1
    Year: 2024
  • Physical Exercise-Intervention Can Be Valuable Therapy for COVID-19 Confinement and Post-COVID-19 Periods
    Authors: Kwak, Y.-S., Han, K., Lee, J., Kim, J.
    Citations: 0
    Year: 2023
  • Association Between Serum Creatinine Levels and Pulmonary Function of Korean Adults: The 2016-2019 Korea National Health and Nutrition Examination Survey
    Authors: Yeun, Y.-R., Kwak, Y.-S., Kim, H.-Y.
    Citations: 1
    Year: 2023
  • The Impact of Ballet Program on Appetite Related Hormones, Insulin Resistance, and Body Composition in Postmenopausal Women: A Pilot Study
    Authors: Son, W.-H., Kwak, Y.-S., Kim, K.-B.
    Citations: 0
    Year: 2022
  • Association Serum Lipid Levels with Periodontal Disease in Korean Adults Over the Age of 50: The Korea National Health and Nutrition Examination Survey, 2016-2018
    Authors: Yeun, Y.-R., Kwak, Y.-S., Kim, H.-Y.
    Citations: 4
    Year: 2022

Conclusion 

Dr. Kwak Yi-Sub is an exceptional candidate for the Best Researcher Award, given his significant academic contributions, impactful research, and dedication to advancing the fields of exercise science and immunology. His prolific publication record, leadership roles, and numerous accolades affirm his qualifications. Addressing the suggested areas for improvement could further elevate his research profile and global influence, making him even more competitive for prestigious awards in the future.

 

Sohan Jheeta | Microbiomes | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Sohan Jheeta | Microbiomes | Best Researcher Award 🏆

Chairman at Network of Researchers on the Chemical Evolution of Life (NoRCEL), United Kingdom

Dr. Sohan Jheeta is an Independent Research Scientist and Science Communicator with expertise in prebiotic chemistry, astrochemistry, and astrobiology. He earned his PhD in Experimental Studies in Prebiotic Chemistry from The Open University, UK, in 2010, supervised by Professor Nigel J. Mason OBE. Dr. Jheeta has published over 40 peer-reviewed papers, authored five book chapters, and delivered more than 120 presentations globally, including 19 keynote speeches. His research focuses on the emergence of life on Earth, and he has been actively involved in outreach across Africa, promoting astroscience education. Dr. Jheeta is also the founder of several international educational networks and has made significant contributions to astrochemistry and astrobiology.

Profile

Scopus

Google Scholar

ORCID

Education 🎓:

Dr. Sohan Jheeta completed his PhD in Experimental Studies in Prebiotic Chemistry at The Open University, UK in 2010, under the supervision of Professor Nigel J. Mason OBE. His doctoral research focused primarily on astrochemistry, exploring the chemical processes in space that could lead to the formation of prebiotic molecules. Prior to his PhD, Dr. Jheeta earned a Bachelor’s degree in a relevant scientific field, further honing his interest in chemistry and its application to astrobiology. His educational journey has been marked by a deep commitment to understanding the origins of life, with his research continuing to expand into astrobiology and astrophysics. Through his rigorous academic training, Dr. Jheeta has developed a multidisciplinary approach, bridging chemistry, biology, and space science to investigate life’s potential emergence beyond Earth.

Work Experience 💼:

Dr. Sohan Jheeta has extensive experience as an Independent Research Scientist and Science Communicator. With a strong background in astrochemistry and prebiotic chemistry, he has contributed to over 40 peer-reviewed publications, including influential papers in international journals. Dr. Jheeta has delivered 120+ presentations worldwide, including 19 keynote speeches at major international conferences. Since 2015, he has been actively involved in science outreach across Africa, delivering inspirational talks in schools, polytechnics, and universities in countries like Ethiopia, Ghana, Kenya, Nigeria, and South Africa. Additionally, Dr. Jheeta has established several international research networks, such as NoRCEL and the Astroscience Exploration Network, further advancing global collaborations in astrobiology and prebiotic chemistry.

Skills 🔍

Dr. Sohan Jheeta possesses a wide range of skills that have made him a leading figure in astrochemistry, prebiotic chemistry, and science communication. His expertise includes experimental studies in prebiotic chemistry, astrobiology, and astrophysics. He is skilled in scientific writing, with over 40 peer-reviewed papers and numerous book chapters to his name. Dr. Jheeta excels in public speaking and outreach, having delivered over 120 presentations worldwide, including keynote speeches at international conferences. Additionally, he is adept at establishing international research networks, such as NoRCEL and the Astroscience Exploration Network, to foster global collaboration and promote science education. His leadership and project management skills have significantly contributed to the advancement of research in the chemical emergence of life and related fields.

Research Interests:

Dr. Sohan Jheeta’s research interests lie at the intersection of astrochemistry, prebiotic chemistry, astrobiology, and astrophysics. His work primarily focuses on understanding the chemical processes that may have led to the emergence of life on Earth, exploring prebiotic RNA synthesis and the role of electron-induced chemistry in the formation of key biological molecules. Dr. Jheeta investigates the potential for life beyond Earth, contributing to the field of astrobiology by studying chemical reactions in space environments. He is particularly interested in the irradiation of molecules in interstellar ices and their role in prebiotic chemistry, using experimental models to simulate early Earth conditions. His research also extends to promoting astroscience education, especially in Africa, and fostering international collaborations to further the study of the origins of life across the cosmos.

📚 Publications 

Title: Electron induced chemistry: a new frontier in astrochemistry

  • Authors: NJ Mason, B Nair, S Jheeta, E Szymańska
  • Journal: Faraday Discussions
  • Volume: 168, Pages: 235-247
  • Cited by: 92
  • Year: 2014

Title: The irradiation of pure CH3OH and 1:1 mixture of NH3: CH3OH ices at 30 K using low energy electrons

  • Authors: S Jheeta, A Domaracka, S Ptasinska, B Sivaraman, NJ Mason
  • Journal: Chemical Physics Letters
  • Volume: 556, Pages: 359-364
  • Cited by: 49
  • Year: 2013

Title: Prebiotic RNA synthesis by montmorillonite catalysis

  • Authors: S Jheeta, PC Joshi
  • Journal: Life
  • Volume: 4, Issue 3, Pages: 318-330
  • Cited by: 43
  • Year: 2014

Title: Mars: new insights and unresolved questions

  • Authors: HG Changela, E Chatzitheodoridis, A Antunes, D Beaty, K Bouw, …
  • Journal: International Journal of Astrobiology
  • Volume: 20, Issue 6, Pages: 394-426
  • Cited by: 39
  • Year: 2021

Title: Thermal condensation of glycine and alanine on metal ferrite surface: Primitive peptide bond formation scenario

  • Authors: MA Iqubal, R Sharma, S Jheeta, Kamaluddin
  • Journal: Life
  • Volume: 7, Issue 2, Article: 15
  • Cited by: 36
  • Year: 2017

Title: The landscape of the emergence of life

  • Authors: S Jheeta
  • Journal: Life
  • Volume: 7, Issue 2, Article: 27
  • Cited by: 28
  • Year: 2017

Title: Electron irradiation of solid nitrous oxide

  • Authors: B Sivaraman, S Ptasinska, S Jheeta, NJ Mason
  • Journal: Chemical Physics Letters
  • Volume: 460, Issues 1-3, Pages: 108-111
  • Cited by: 27
  • Year: 2008

Title: De novo nucleic acids: a review of synthetic alternatives to DNA and RNA that could act as bio-information storage molecules

  • Authors: KG Devine, S Jheeta
  • Journal: Life
  • Volume: 10, Issue 12, Article: 346
  • Cited by: 25
  • Year: 2020

Title: The irradiation of 1:1 mixture of ammonia: carbon dioxide ice at 30 K using 1 keV electrons

  • Authors: S Jheeta, S Ptasinska, B Sivaraman, NJ Mason
  • Journal: Chemical Physics Letters
  • Volume: 543, Pages: 208-212
  • Cited by: 23
  • Year: 2012

Conclusion 

Dr. Sohan Jheeta’s pioneering work in astrochemistry, astrobiology, and prebiotic chemistry, along with his commitment to science outreach, positions him as an outstanding candidate for the Research for Best Researcher Award. His extensive academic research, global contributions, and educational outreach efforts have had a lasting impact on the scientific community and society. His ability to bridge research and communication demonstrates a rare combination of academic excellence and social responsibility, making him a true leader in his field.

Niki Vassilaki | Neuroscience | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Niki Vassilaki | Neuroscience | Best Researcher Award  🏆

Researcher at Hellenic Pasteur Institute, Greece

Dr. Niki Vassilaki is a leading expert in Molecular Virology, specializing in the replication of Hepatitis C Virus (HCV) and viral infections such as those caused by Flaviviridae and SARS-CoV-2. She holds a PhD in Molecular Virology from the National and Kapodistrian University of Athens (NKUA) and completed postdoctoral research at Heidelberg University with Professor Ralf Bartenschlager. Dr. Vassilaki’s research focuses on the role of dopamine metabolism in viral infections and the development of antiviral drugs. With over 60 publications and more than 110 conference presentations, she has secured over €1 million in competitive funding and is a key partner in the European EXPAND-EV program.

Profile

Scopus

Google Scholar

ORCID

Education 🎓:

Dr. Niki Vassilaki completed her PhD in Molecular Virology at the Biology Department of the National and Kapodistrian University of Athens (NKUA), where she focused on Hepatitis C Virus (HCV) replication. Her doctoral research laid the foundation for her deep expertise in viral pathogenesis. She further expanded her knowledge and research capabilities during her postdoctoral studies at Heidelberg University, working in the world-renowned virology laboratory of Professor Ralf Bartenschlager. This experience allowed her to contribute to the development of robust infectious models for studying HCV replication, solidifying her reputation in the virology research community.

Work Experience 💼:

Dr. Niki Vassilaki has extensive experience in molecular virology, focusing on viral replication and pathogenesis. She pursued her PhD at the National and Kapodistrian University of Athens (NKUA) under the mentorship of Professor Mavromara, where she specialized in Hepatitis C Virus (HCV) replication. Following this, Dr. Vassilaki conducted postdoctoral research at Heidelberg University with Professor Ralf Bartenschlager, contributing to the development of a robust infectious model for HCV. Her current research explores the role of dopamine biosynthesis and metabolism in viral infections, particularly Flaviviridae and SARS-CoV-2, with an emphasis on antiviral drug discovery. She has also held leadership roles, including coordinator of multiple international research programs and membership in various virology and molecular biology committees.

Skills 🔍

Dr. Niki Vassilaki possesses a broad range of skills in molecular virology, viral pathogenesis, and antiviral drug discovery. She has expertise in the molecular biology of Flaviviridae, Hepadnavirus (HBV), and SARS-CoV-2, with a strong focus on viral replication mechanisms and the identification of novel therapeutic targets. Dr. Vassilaki is skilled in advanced laboratory techniques, including PCR, RNA sequencing, and virus culture systems, as well as in designing and executing antiviral assays. Additionally, she has extensive experience in securing competitive funding, managing international research collaborations, and leading research teams focused on innovative antiviral solutions.

Research Interests:

Dr. Niki Vassilaki’s research interests lie at the intersection of molecular virology, viral pathogenesis, and antiviral drug discovery. Her work primarily focuses on the replication mechanisms of Flaviviridae viruses, Hepatitis B virus (HBV), and SARS-CoV-2. She is particularly interested in understanding the molecular interactions that govern viral replication and the development of novel replication inhibitors. Additionally, her research explores the role of dopamine biosynthesis and metabolism in viral infections, aiming to uncover how these pathways influence viral pathogenesis. Dr. Vassilaki is also dedicated to the discovery of antiviral agents, with her team developing an ISO-certified pipeline for screening and testing potential therapeutics.

📚 Publications 

  • Title: Alternate translation occurs within the core coding region of the hepatitis C viral genome
    • Authors: A Varaklioti, N Vassilaki, U Georgopoulou, P Mavromara
    • Journal: Journal of Biological Chemistry
    • Volume: 277, Issue 20, Pages: 17713-17721
    • Cited by: 238
    • Year: 2002
  • Title: Role of the Hepatitis C Virus Core+1 Open Reading Frame and Core cis-Acting RNA Elements in Viral RNA Translation and Replication
    • Authors: N Vassilaki, P Friebe, P Meuleman, S Kallis, A Kaul, G Paranhos-Baccala, …
    • Journal: Journal of Virology
    • Volume: 82, Issue 23, Pages: 11503-11515
    • Cited by: 130
    • Year: 2008
  • Title: Two alternative translation mechanisms are responsible for the expression of the HCV ARFP/F/core+1 coding open reading frame
    • Authors: N Vassilaki, P Mavromara
    • Journal: Journal of Biological Chemistry
    • Volume: 278, Issue 42, Pages: 40503-40513
    • Cited by: 122
    • Year: 2003
  • Title: The HCV ARFP/F/core+1 protein: production and functional analysis of an unconventional viral product
    • Authors: N Vassilaki, P Mavromara
    • Journal: IUBMB Life
    • Volume: 61, Issue 7, Pages: 739-752
    • Cited by: 91
    • Year: 2009
  • Title: Low oxygen tension enhances hepatitis C virus replication
    • Authors: N Vassilaki, KI Kalliampakou, I Kotta-Loizou, C Befani, P Liakos, G Simos, …
    • Journal: Journal of Virology
    • Volume: 87, Issue 5, Pages: 2935-2948
    • Cited by: 65
    • Year: 2013
  • Title: Impact of age and sex on antibody response following the second dose of COVID-19 BNT162b2 mRNA vaccine in Greek healthcare workers
    • Authors: N Vassilaki, AN Gargalionis, A Bletsa, N Papamichalopoulos, E Kontou, …
    • Journal: Microorganisms
    • Volume: 9, Issue 8, Article: 1725
    • Cited by: 60*
    • Year: 2021

Conclusion 

Dr. Niki Vassilaki’s academic credentials, groundbreaking research, leadership in international committees, and professional affiliations make her a highly deserving candidate for the Research for Best Researcher Award. Her contributions to molecular virology, antiviral discovery, and global scientific collaborations highlight her excellence and dedication to advancing the field.

Sheetal Harris | Information Technology | Best Researcher Award

Published on by Cognitive Scientist Awards

Ms. Sheetal Harris | Information Technology | Best Researcher Award🏆

PhD Candidate at Wuhan University, China

Ms. Sheetal Harris is a dedicated PhD candidate and research fellow with over 15 years of academic experience. She holds a Master’s in Information Technology Security from the University of Central Lancashire, UK, with distinction. Currently pursuing her PhD at Wuhan University, her research focuses on Fake News Detection, Artificial Intelligence, and Generative AI, with a special emphasis on resource-constrained languages like Urdu. Ms. Harris has edited 15 books on Military Histories and Biographies and is actively working on a patent for Fake News Detection. Her research contributions aim to bridge gaps in AI research by addressing language bias and developing innovative datasets. She has been awarded a CSC Full Scholarship and holds a Graduate Teaching Assistant position at Edge Hill University, UK.

Profile

Google Scholar

ORCID

Education 🎓:

Ms. Sheetal Harris is currently a PhD candidate at Wuhan University, where she is pursuing advanced research in the fields of Artificial Intelligence, Fake News Detection, and Generative AI. Her academic journey at Wuhan University follows a distinguished career, with previous studies including a Master’s in Information Technology Security from the University of Central Lancashire, UK, where she graduated with distinction. Her strong foundation in IT security and AI applications has propelled her research endeavors, allowing her to explore innovative solutions to complex challenges such as misinformation and language bias in AI.

Work Experience 💼:

Ms. Sheetal Harris has over 15 years of academic experience in diverse roles, starting as a dedicated educator and gradually transitioning into a researcher. She has taught and presented at various conferences, showcasing her ability to communicate complex topics effectively to audiences at all levels. In addition to her academic experience, Ms. Harris has edited 15 books on Military Histories and Biographies, many of which are available on Amazon. Her current role as a Graduate Teaching Assistant at Edge Hill University, UK, coupled with her CSC Full Scholarship for her PhD research, demonstrates her commitment to academia. She has also contributed to innovative projects, particularly in the fields of Fake News Detection and Generative AI.

Skills 🔍

Ms. Sheetal Harris possesses a diverse skill set that spans both academic and technical domains. With a strong foundation in Information Technology Security, she has expertise in Artificial Intelligence, Natural Language Processing (NLP), and Generative AI. Her research on Fake News Detection and language bias showcases her ability to tackle complex problems using advanced techniques like Pre-trained Language Models (PLMs) and Large Language Models (LLMs). As an effective communicator, she excels in public speaking, teaching, and presenting complex ideas to varied audiences. Her organizational skills are demonstrated through her editorial role in 15 books on military histories and biographies, as well as her data curation expertise in creating large, multimodal datasets for AI applications.

Research Interests:

Ms. Sheetal Harris’s primary research interests lie in the fields of Fake News Detection, Artificial Intelligence (AI), and Generative AI. She focuses on addressing the challenges of language bias in AI research, particularly through the detection of fake news in resource-constrained languages such as Urdu. Her work involves using Pre-trained Language Models (PLMs), Large Language Models (LLMs), and NLP techniques to develop advanced detection mechanisms. Additionally, Ms. Harris is exploring the role of AI and Generative AI in domains like healthcare and education, with a particular emphasis on understanding the cyber threats these technologies may pose. Her research contributes to the development of state-of-the-art frameworks for fake news detection and the broader AI landscape.

📚 Publications 

Title: Blockchain and Machine Learning in EHR Security: A Systematic Review

  • Authors: U Zukaib, X Cui, M Hassan, S Harris, HJ Hadi, C Zheng
  • Journal: IEEE Access
  • Volume: 11, Pages: 130230-130256
  • Cited by: 7
  • Year: 2023

Title: Phase I, open-label, drug interaction study to evaluate the effect of repeat doses of rifampin on the single-dose pharmacokinetics of mirabegron (YM178) in healthy adult subjects

  • Authors: T Sawamoto, J Lee, Y Cao, D Kowalski, A Alak, J Meijer, M van Gelderen, …
  • Journal: Clinical Pharmacology & Therapeutics
  • Volume: 89, Pages: S21-S22
  • Cited by: 5
  • Year: 2011

Title: Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection

  • Authors: S Harris, J Liu, HJ Hadi, Y Cao
  • Conference: 2023 IEEE 22nd International Conference on Trust, Security, and Privacy
  • Cited by: 3
  • Year: 2023

Title: Visual Transformer for Resilience to Adversarial Attacks in OCT Retinal Images

  • Authors: Yawar Abbas, Donghong Ji, Hassan Jalil Hadi, Sheetal Harris
  • Conference: International Joint Conference on Neural Networks (IJCNN)
  • Cited by: 1
  • Year: 2024

Title: AIoT as New Paradigm for Distributed Network

  • Authors: S Harris, HJ Hadi, Y Cao, KN Qureshi
  • Book: Artificial Intelligence of Things (AIoT), Pages: 77-90
  • Cited by: 1
  • Year: 2024

Title: Autonomous and Collaborative Smart Home Security System (ACSHSS)

  • Authors: HJ Hadi, KU Nisa, S Harris
  • Preprint: arXiv preprint arXiv:2309.02899
  • Cited by: 1
  • Year: 2023

Conclusion 

Ms. Sheetal Harris’ impactful contributions to AI research, particularly in Fake News Detection and Generative AI, make her an excellent candidate for the Research for Best Researcher Award. Her work on creating multimodal datasets in Urdu, her research in NLP, and her focus on AI in education and cyber threats place her at the forefront of emerging research. Her dedication to filling research gaps and driving innovation marks her as a promising researcher in the field.

Xuedong Zhang | Decision Making | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Xuedong Zhang | Decision Making | Best Researcher Award    🏆

PhD candidate at Xinjiang University, China

Dr. Xuedong Zhang is a dedicated researcher and industry expert specializing in intelligent manufacturing, industrial internet, enterprise digital transformation, and artificial intelligence. With a PhD in Intelligent Manufacturing and extensive experience as a senior engineer and digital consultant, he has driven innovations in industrial digitalization. Dr. Zhang has completed national and provincial research projects, published in high-impact journals, and holds two patents under examination. His active contributions to digital management, platform design, and industrial large models highlight his leadership in advancing smart manufacturing practices and integrating cutting-edge technology with industry needs.

Profile

ORCID

Education 🎓:

Dr. Xuedong Zhang holds a robust educational foundation that underpins his expertise in intelligent manufacturing and digital transformation. He completed his undergraduate studies in Mechanical Engineering, focusing on the integration of traditional engineering principles with modern technological applications. Pursuing higher education, he earned a Master’s degree in Industrial Engineering, specializing in manufacturing systems optimization. Dr. Zhang further advanced his academic journey with a PhD in Intelligent Manufacturing, where his research emphasized the industrial internet, enterprise digital transformation, and artificial intelligence. His educational background has been pivotal in shaping his innovative approach to research and industry collaboration.

Work Experience 💼:

Dr. Xuedong Zhang brings extensive experience as a senior intelligent manufacturing engineer and digital consultant, contributing to the integration of industrialization and informatization across major manufacturing enterprises and research institutions. He has played a pivotal role in planning and executing digital transformation projects, including enterprise digitalization planning, intelligent manufacturing strategies, and networked collaboration systems. Dr. Zhang has also participated in national and provincial-level research initiatives, showcasing his ability to bridge academic research with real-world industrial applications. His expertise in digital management, platform design, and industrial large models has significantly impacted the evolution of smart manufacturing practices.

Skills 🔍

Dr. Xuedong Zhang possesses a diverse set of skills that blend technical expertise with strategic insight. He excels in intelligent manufacturing systems, industrial internet integration, and enterprise digital transformation, leveraging his deep knowledge of artificial intelligence and digital twin technologies. Proficient in multimodal data analysis, manufacturing process optimization, and large-scale industrial model development, he brings a practical and innovative approach to solving complex industrial challenges. Dr. Zhang’s experience in digital management, platform design, and networked collaboration systems highlights his ability to lead digitalization projects. His expertise also includes patent development, technical consulting, and the translation of cutting-edge research into impactful industrial applications.

Research Interests:

Dr. Xuedong Zhang’s research interests focus on advancing technologies in intelligent manufacturing, industrial internet, enterprise digital transformation, and artificial intelligence. He is particularly passionate about the development and application of industrial large-scale models to enhance manufacturing efficiency and digital integration. His work explores areas such as digital management systems, platform design for smart manufacturing, personalized customization, and networked collaboration. Through his innovative research, Dr. Zhang aims to bridge the gap between traditional manufacturing processes and cutting-edge digital technologies, driving the future of industrial automation and intelligent systems.

📚 Publications 

Title: A multimodal expert system for the intelligent monitoring and maintenance of transformers enhanced by multimodal language large model fine‐tuning and digital twins

  • Authors: Xuedong Zhang, Wenlei Sun, Ke Chen, Renben Jiang
  • Journal: IET Collaborative Intelligent Manufacturing
  • Date: December 2024
  • DOI: 10.1049/cim2.70007

Title: Comprehensive collaborative integration method for high‐voltage coil manufacturing workshop based on industrial internet identification and resolution

  • Authors: Xuedong Zhang, Wenlei Sun, Renben Jiang, Dajiang Wang
  • Journal: IET Collaborative Intelligent Manufacturing
  • Date: June 2024
  • DOI: 10.1049/cim2.12095

Conclusion 

Dr. Xuedong Zhang’s profound expertise, proven research output, and impactful contributions to industry and academia make him a commendable candidate for the Research for Best Researcher Award. His work aligns seamlessly with the award’s objectives, emphasizing innovation, industry collaboration, and academic excellence.

Yuandong Gu | Neuroscience | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Dr. Yuandong Gu | Neuroscience | Best Researcher Award   🏆

Vice President at National Innovation Center par Excellence, China

Prof. Dr. Yuandong Gu is a distinguished researcher and innovator in microelectronics and sensor technology. He serves as the Vice Dean of the Shanghai Yangtze Delta Innovation Institute and was the Founding Dean of the School of Microelectronics at Shanghai University. With a PhD from the University of Minnesota, Twin Cities (2003), his research focuses on piezoelectric MEMS sensors, photonic metamaterials, and their transformative applications. Prof. Gu has held key leadership roles, including Deputy Executive Director at Singapore’s Institute of Microelectronics and Principal Scientist at Honeywell International Inc. He is the author of over 180 peer-reviewed publications and holds 55 USA/SGP patents. His groundbreaking work has earned him prestigious accolades, such as the Shanghai Talent Program Award (2018) and the Engineering Achievement Award from the Institution of Engineers Singapore.

Profile

Scopus

Education 🎓:

Prof. Dr. Yuandong Gu earned his PhD in 2003 from the University of Minnesota, Twin Cities, specializing in advanced sensor technologies and microelectronics. His doctoral work laid the foundation for his illustrious career in piezoelectric MEMS sensors and photonic metamaterials, fields where he has made groundbreaking contributions. His strong academic background is complemented by his ability to bridge theoretical research with industrial applications, making him a leader in innovative technology development.

Work Experience 💼:

Prof. Dr. Yuandong Gu has extensive experience in academia, research, and industry, serving as the Vice President of the Shanghai Yangtze Delta Innovation Institute and Chairman of Shanghai Melon Technology Co., Ltd. He was the Founding Dean of the School of Microelectronics at Shanghai University and a Senior Vice President at SITRI, driving technology commercialization and innovation strategies. At A-STAR Singapore, he led advanced MEMS research as Deputy Executive Director, and at Honeywell International, he managed multi-million-dollar MEMS projects and established the Shanghai Sensors Lab, showcasing his global leadership in microelectronics and sensor technologies.

Skills 🔍

Prof. Dr. Yuandong Gu is a highly skilled researcher and leader with expertise in microelectronics, piezoelectric MEMS technologies, and photonic metamaterials. He excels in strategic planning, technology incubation, and the development of cutting-edge sensor platforms, including pMUTs and MEMS-based force sensing modules. His proficiency in project management, cross-functional team leadership, and research-to-market transformation has been demonstrated through his successful execution of multimillion-dollar projects and the commercialization of innovative technologies. With a strong foundation in intellectual property generation, holding 55 patents, and an extensive publication record, he combines technical expertise with visionary leadership to drive impactful advancements in the field.

Research Interests:

Prof. Dr. Yuandong Gu’s research interests encompass cutting-edge advancements in piezoelectric MEMS sensors, photonic metamaterials, and their diverse applications. His work focuses on developing innovative sensing technologies, such as piezoelectric micromachined ultrasonic transducers (pMUTs), and exploring the integration of photonic metamaterials to enhance device performance in various fields. These research efforts aim to address challenges in miniaturization, high precision, and energy efficiency, contributing to advancements in areas such as healthcare, robotics, and communication systems. His dedication to translating research into impactful technologies underscores his contributions to the global microelectronics and sensors community.

📚 Publications 

A 16-channel Si Probe Monolithically Integrated with CMOS Chips for Neural Recording

  • Authors: Gou, G.-Y., You, C., Yao, P., Xue, N., Zhao, M.
  • Journal: Sensors and Actuators Reports
  • Publication Year: 2024
  • Volume: 8
  • Article Number: 100206
  • Open Access

Improved Performance of Acoustically Actuated Magnetoelectric Antenna with FeGa/FeGaB Bilayer

  • Authors: Li, K., Zhang, Q., Chang, Y., Zhang, S., Gu, Y.
  • Journal: Micromachines
  • Publication Year: 2024
  • Volume: 15
  • Issue: 2
  • Article Number: 190
  • Open Access

Effect of Humid Environment on Electromechanical Performance of Piezoelectric Micromachined Ultrasonic Transducers (PMUTs)

  • Authors: Tong, Z., Wu, Z., Gu, Y.A., Lou, L.
  • Journal: Sensors and Actuators A: Physical
  • Publication Year: 2024
  • Volume: 366
  • Article Number: 114821

MHorUNet: High-Order Spatial Interaction UNet for Skin Lesion Segmentation

  • Authors: Wu, R., Liang, P., Huang, X., Zhu, H., Chang, Q.
  • Journal: Biomedical Signal Processing and Control
  • Publication Year: 2024
  • Volume: 88
  • Article Number: 105517
  • Citations: 13

Enhancement in Performance of SAW Resonator on LN/SiC Substrate by Taking Slowness Asymmetry into Account

  • Authors: Liu, H.L., Zhang, Q.Z., Sun, H., Gu, Y.D., Wang, N.
  • Journal: Journal of Physics: Conference Series
  • Publication Year: 2024
  • Volume: 2822
  • Issue: 1
  • Article Number: 012174

A Miniaturized Transit-Time Ultrasonic Flowmeter Based on ScAlN Piezoelectric Micromachined Ultrasonic Transducers for Small-Diameter Applications

  • Authors: Gao, Y., Chen, M., Wu, Z., Gu, Y.A., Lou, L.
  • Journal: Microsystems and Nanoengineering
  • Publication Year: 2023
  • Volume: 9
  • Issue: 1
  • Article Number: 49
  • Citations: 15

A Highly Integrated 3D MEMS Force Sensing Module With Variable Sensitivity for Robotic-Assisted Minimally Invasive Surgery

  • Authors: Hou, C., Wang, K., Wang, F., Chen, T., Sun, L.
  • Journal: Advanced Functional Materials
  • Publication Year: 2023
  • Volume: 33
  • Issue: 43
  • Article Number: 2302812
  • Citations: 12

Conclusion 

Prof. Dr. Yuandong Gu’s extensive contributions to advanced sensor technology, impactful industrial innovations, and dedication to academic mentorship make him a strong candidate for the Research for Best Researcher Award. His balance of academic rigor, innovation, and leadership perfectly aligns with the award’s criteria, reflecting his global stature as a transformative researcher.

 

Qiang Li | Artificial Intelligence | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Qiang Li | Artificial Intelligence | Best Researcher Award   🏆

Professor at Anhui Agricultural University, China

Prof. Qiang Li is a distinguished mathematician specializing in applied and computational mathematics. He holds a Doctor of Science from Southeast University and has over a decade of academic experience, starting with his Bachelor’s degree at Changzhi University. Currently, he serves in the Department of Applied Mathematics at Anhui Agricultural University. Prof. Li’s research focuses on stochastic systems, neural networks, and state estimation, resulting in multiple high-impact publications in renowned journals like Applied Mathematics and Computation and Neural Networks. His work contributes to advancements in Markovian switching systems, semi-Markovian models, and capital systems with stochastic effects, demonstrating his expertise and innovation.

Profile

Scopus

ORCID

Education 🎓:

Prof. Qiang Li has an impressive educational background in mathematics, showcasing a strong foundation and expertise in the field. He earned his Doctor of Science degree from the School of Mathematics at Southeast University in 2021, focusing on applied and computational mathematics. Prior to this, he completed his Master of Science at the School of Mathematics and Information Science, North Minzu University, in 2017, where he honed his skills in mathematical modeling and analysis. He began his academic journey with a Bachelor of Science degree from the Faculty of Mathematics at Changzhi University in 2014, establishing a robust base in mathematical theories and applications.

Work Experience 💼:

Prof. Qiang Li has accumulated extensive experience in the field of applied mathematics and computational systems. Since 2021, he has been a faculty member in the Department of Applied Mathematics at the School of Science, Anhui Agricultural University, where he engages in teaching, research, and academic mentorship. His professional journey encompasses expertise in stochastic systems, Markovian switching models, and neural network analysis, with a particular focus on state estimation, synchronization, and numerical methods. His collaborative efforts have led to significant advancements in mathematical modeling and computation, as evidenced by his impactful publications in esteemed international journals.

Skills 🔍

Prof. Qiang Li possesses exceptional skills in advanced mathematical modeling, stochastic processes, and numerical analysis, enabling him to address complex challenges in dynamic systems. He is proficient in analyzing Markovian and semi-Markovian switching systems, with expertise in state estimation, synchronization, and stability. Prof. Li demonstrates strong capabilities in computational tools and techniques, including matrix measures and numerical methods for fractional Brownian motion and Poisson jumps. Additionally, he has a keen understanding of neural networks, specifically complex-valued neural networks (CVNNs), and their applications in dynamic systems. His analytical and problem-solving skills are complemented by a deep commitment to innovative research.

Awards and Honors 🏆

Prof. Qiang Li has earned recognition for his significant contributions to applied mathematics and computational research. His achievements are underscored by several prestigious awards and honors, reflecting his academic excellence and impact in the field. These accolades highlight his groundbreaking work in Markovian and semi-Markovian switching systems, stability analysis, and numerical methods. His research outputs, published in high-impact journals such as Applied Mathematics and Computation and Neural Networks, have further solidified his reputation as a leading scholar, earning him respect and acknowledgment within the global academic community.

Research Interests:

Prof. Qiang Li’s research interests lie at the intersection of applied mathematics and computational science, focusing on stochastic systems, Markovian switching complex-valued neural networks (CVNNs), and semi-Markovian processes. His work delves into state estimation, synchronization, and stability analysis of dynamic systems, often under complex conditions such as missing measurements, quantization effects, and mode-dependent delays. He is also deeply engaged in exploring dissipative methods, fractional Brownian motion, and numerical methods for systems with Poisson jumps. Prof. Li’s research aims to develop innovative mathematical frameworks and computational tools for solving real-world problems in dynamic and stochastic systems.

📚 Publications 

Asynchronous Nonfragile Guaranteed Performance Control for Singular Switched Positive Systems: An Event-Triggered Mechanism

  • Authors: J. Wang, Q. Li, S. Li, L. Zhang
  • Journal: International Journal of Robust and Nonlinear Control
  • Volume: 34, Issue 17, Pages 11451-11468
  • Publication Year: 2024
  • Cited by: 0

Improved Execution Efficiency of FPE Scheme Algorithm Based on Structural Optimization

  • Authors: X.-W. Yang, L. Wang, M.-L. Xing, Q. Li
  • Journal: Electronics (Switzerland)
  • Volume: 13, Issue 20, Article 4007
  • Publication Year: 2024
  • Cited by: 0

l1 Filtering for Uncertain Discrete-Time Singular Switched Positive Systems with Time Delay and Output Quantization

  • Authors: J. Wang, A. Gao, Q. Li, B. Xie
  • Journal: Journal of the Franklin Institute
  • Volume: 361, Issue 13, Article 107028
  • Publication Year: 2024
  • Cited by: 0

Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions

  • Authors: S. Ma, J. Li, R. Liu, Q. Li
  • Journal: Neural Processing Letters
  • Volume: 56, Issue 4, Pages 208
  • Publication Year: 2024
  • Cited by: 0

Mathematical Analysis of Stability and Hopf Bifurcation in a Delayed HIV Infection Model with Saturated Immune Response

  • Authors: Z. Hu, J. Yang, Q. Li, S. Liang, D. Fan
  • Journal: Mathematical Methods in the Applied Sciences
  • Volume: 47, Issue 12, Pages 9834-9857
  • Publication Year: 2024
  • Cited by: 1

Dissipative Synchronization of Semi-Markovian Jumping Delayed Neural Networks Under Random Deception Attacks: An Event-Triggered Impulsive Control Strategy

  • Authors: H. Wei, K. Zhang, M. Zhang, Q. Li, J. Wang
  • Journal: Journal of the Franklin Institute
  • Volume: 361, Issue 8, Article 106835
  • Publication Year: 2024
  • Cited by: 8

Conclusion 

Prof. Qiang Li’s academic credentials, professional expertise, and groundbreaking research establish him as an outstanding candidate for the Best Researcher Award. His innovative contributions to Markovian systems and nonlinear mathematics position him as a leader in his field, deserving of recognition for his impact and dedication to advancing mathematical sciences.

 

Sabrina Islam | Cognitive Ergonomics | Best Researcher Award

Published on by Cognitive Scientist Awards

Ms. Sabrina Islam | Cognitive Ergonomics | Best Researcher Award  🏆

Graduate Research Assistant at George Mason University, United States

Ms. Sabrina Islam is an accomplished mechanical engineer and researcher with over five years of combined academic and professional experience. She is currently pursuing a Ph.D. in Information Technology with a focus on Mechanical Engineering at George Mason University. Her research interests span slip-resistant footwear, biomechanics, and advanced polymer composites, with significant contributions in manufacturing and material innovation. A recipient of the Daniel R. Bannister PhD Retention Fellowship, she has published extensively in biomechanics and composite materials and holds a provisional patent for anti-slip polymer applications. With expertise in 3D printing, polymer extrusion, and industry collaborations, Ms. Islam is dedicated to advancing safety and performance in engineering design.

Profile

GOOGLE SCHOLAR

ORCID

Education 🎓:

Ms. Sabrina Islam has a robust academic background in mechanical engineering and information technology. She earned her bachelor’s degree in Mechanical Engineering from Khulna University of Engineering & Technology, where she laid a strong foundation in materials science and engineering principles. Currently, she is pursuing a Ph.D. in Information Technology with a focus on Mechanical Engineering at George Mason University. Her doctoral research delves into advanced composite materials, biomechanics, and 3D printing technologies. Her academic excellence has been recognized through the prestigious Daniel R. Bannister PhD Retention Fellowship, which highlights her commitment to academic and research excellence.

Work Experience 💼:

Ms. Sabrina Islam has over five years of experience in academic and industry projects, focusing on composite materials, biomechanics, and 3D printing. She has developed slip-resistant footwear using advanced composite materials, conducted biomechanical analyses on humerus load constraints, and characterized FFF-printed composites with superior properties. Collaborating with Vibram, she explored innovative outsole materials and slip-resistance testing, showcasing her expertise in material engineering and practical applications.

Skills 🔍

Ms. Sabrina Islam possesses a diverse set of skills in mechanical and material engineering. She is proficient in advanced manufacturing techniques, including injection molding and 3D printing, particularly for composite materials. Her expertise extends to mechanical characterization, finite element analysis, and numerical simulations, which she utilizes for material property optimization and design validation. She demonstrates strong analytical capabilities in testing friction, abrasion resistance, and mechanical properties of polymers. Additionally, her ability to collaborate with industry leaders, manage multidisciplinary projects, and contribute to innovative patents highlights her exceptional technical and professional acumen.

Awards and Honors 🏆

Ms. Sabrina Islam has received notable recognition for her academic and professional achievements. She was awarded the prestigious Daniel R. Bannister PhD Retention Fellowship at George Mason University for her academic excellence and commitment to research. Her innovative contributions, including the development of a provisional patent on anti-slip composites, further showcase her ingenuity and impact in the field of material engineering. Additionally, her active participation and presentations at renowned conferences, such as MS&T24, highlight her dedication to advancing knowledge and her field’s reputation globally.

Research Interests:

Ms. Sabrina Islam’s research interests encompass composite materials, biomechanics, 3D printing technologies, and the mechanical properties of polymers. Her focus lies in advancing slip-resistant footwear materials, biomechanical modeling of orthopedic structures, and exploring innovative solutions for abrasion and friction resistance. Additionally, she is passionate about leveraging numerical simulations to validate experimental findings, enhancing material safety and performance in both industrial and biomedical applications.

Conclusion 

Ms. Sabrina Islam’s remarkable academic achievements, innovative research contributions, leadership in professional organizations, and effective collaboration with industry partners establish her as an outstanding candidate for the Research for Best Researcher Award. Her work exemplifies innovation and practical solutions in mechanical engineering and materials science, making her a deserving recipient of this recognition.

📚 Publications 

Polymer-Based Materials Built with Additive Manufacturing Methods for Orthopedic Applications: A Review

  • Authors: KM Gide, S Islam, ZS Bagheri
  • Journal: Journal of Composites Science
  • Volume: 6, Issue 9, Article 262
  • Cited by: 11
  • Year: 2022
  • DOI: 10.3390/jcs6090262

The Effect of Tread Patterns on Slip Resistance of Footwear Outsoles Based on Composite Materials in Icy Conditions

  • Authors: S Islam, K Gide, T Dutta, ZS Bagheri
  • Journal: Journal of Safety Research
  • Volume: 87, Pages 453–464
  • Cited by: 4
  • Year: 2023
  • DOI: 10.1016/j.jsr.2023.03.012

Biomechanical Effects of Different Loads and Constraints on Finite Element Modeling of the Humerus

  • Authors: S Islam, K Gide, EH Schemitsch, H Bougherara, R Zdero, ZS Bagheri
  • Journal: Computer Methods in Biomechanics and Biomedical Engineering
  • Pages: 1–13
  • Cited by: 3
  • Year: 2023
  • DOI: 10.1080/10255842.2023.2230943

Design of Tread Patterns for Use with Novel Composite Outsole Materials for Slip-Resistant Footwear

  • Authors: K Gide, S Islam, T Dutta, S Bagheri
  • Journal: Human Factors for Apparel and Textile Engineering
  • Volume: 32, Page 89
  • Cited by: 1
  • Year: 2022

Biomechanical Design of a New Proximal Humerus Fracture Plate Using Alternative Materials

  • Authors: S Islam, M Dembowski, EH Schemitsch, H Bougherara, ZS Bagheri, et al.
  • Journal: International Journal for Numerical Methods in Biomedical Engineering
  • Article: e3868
  • Year: 2024
  • DOI: 10.1002/cnm.3868

Enhancing Friction with Additively Manufactured Surface-Textured Polymer Composites

  • Authors: S Islam, K Beschorner, ZS Bagheri
  • Journal: Polymer Engineering & Science
  • Year: 2024
  • DOI: 10.1002/pen.26095

 

Oyungoo Badamdorj | Mental Health | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Dr. Oyungoo Badamdorj | Mental Health | Best Researcher Award 🏆

Dean School of Nursing at Mongolian National University of Medical Sciences, Mongolia

Prof. Dr. Oyungoo Badamdorj is a distinguished academic and medical education innovator from Mongolia. She earned her Bachelor of Medicine from the National Medical University of Mongolia in 1998, followed by a Master’s in Medicine (2007) and a PhD in Medicine (2010) from the Health Sciences University of Mongolia. As a Professor and former Dean of the School of Nursing, she has championed transformative initiatives, including curriculum modernization, virtual reality integration, and interprofessional education programs. With 16 authored books, 33 research projects, and expertise in areas like e-learning and mental health, Dr. Badamdorj is a trailblazer in advancing global healthcare education.

Profile

SCOPUS

ORCID

Education 🎓:

Prof. Dr. Oyungoo Badamdorj has a robust educational foundation in medicine and health sciences. She completed her Bachelor of Medicine at the National Medical University of Mongolia in 1998, laying the groundwork for her medical expertise. In 2007, she earned a Master of Science in Medicine from the Health Sciences University of Mongolia, further specializing in medical education. Her academic journey culminated in a PhD in Medicine from the same institution in 2010, where her research focused on medical education and program evaluation. This extensive academic training has positioned her as a leading expert in advancing healthcare education and curriculum development.

Work Experience 💼:

Prof. Dr. Oyungoo Badamdorj has a wealth of experience in medical education and academic leadership. As a Professor at the Health Sciences University of Mongolia since 2018 and an Associate Professor since 2013, she has significantly contributed to advancing medical and nursing education. Her tenure as Dean of the School of Nursing allowed her to spearhead curriculum updates, ensuring alignment with international accreditation standards and global healthcare needs. Additionally, Dr. Badamdorj has led innovative projects integrating virtual reality and e-learning platforms, improving teaching and learning outcomes. Her work in interprofessional education has fostered collaborative healthcare practices, enhancing patient outcomes.

Skills 🔍

Prof. Dr. Oyungoo Badamdorj possesses a diverse skill set that underpins her contributions to medical education and healthcare innovation. She excels in curriculum development, accreditation processes, and the implementation of outcome-based education models. Her expertise in faculty development and interprofessional education fosters collaboration and enhances teaching effectiveness. Prof. Badamdorj is proficient in integrating advanced technologies, such as e-learning platforms and virtual reality, into educational practices. Additionally, she has strong leadership, project management, and program evaluation skills, which have driven significant advancements in nursing and allied health education. Her communication and mentorship abilities inspire future healthcare professionals.

Awards and Honors 🏆

Prof. Dr. Oyungoo Badamdorj has been recognized for her exceptional contributions to medical education and healthcare innovation. Her notable awards include national and institutional honors for advancing nursing education and interprofessional collaboration in healthcare. As a leader in curriculum development and accreditation, she has received accolades for ensuring alignment with international standards. Her pioneering work in integrating virtual reality and e-learning platforms into medical training has garnered widespread appreciation, highlighting her role in transforming healthcare education in Mongolia. These honors reflect her dedication to improving the quality of education and healthcare delivery.

Research Interests:

Prof. Dr. Oyungoo Badamdorj’s research interests encompass a wide array of topics within medical education and healthcare. She specializes in faculty development, teaching methodologies, blended and e-learning, and curriculum innovation, with a strong emphasis on outcome-based education. Her work in accreditation and nursing education has improved the quality of academic programs in Mongolia. Additionally, she has a keen interest in mental health, leveraging her expertise to address pressing healthcare challenges. Prof. Dr. Badamdorj also pioneers the use of emerging technologies, such as virtual reality, to transform educational experiences and interprofessional collaboration in healthcare.

Conclusion 

Prof. Dr. Oyungoo Badamdorj exemplifies the qualities of an outstanding researcher through her dedication to innovation, education, and global healthcare improvement. Her integration of advanced technologies, curriculum reforms, and culturally sensitive programs underscores her transformative impact on healthcare education. With her extensive academic contributions and leadership, Dr. Badamdorj is a highly deserving candidate for the Best Researcher Award.

📚 Publications 

Association Between Psychological Distress and Coping Styles in Family Caregivers of People with Intellectual Disability or Chronic Mental Disorder in Mongolia

  • Authors: Delgermaa Sendmaa, Namuun Ganbaatar, Orgilmaa Regzedmaa, Erdenetuul Nuden, Enkhtuul Chuluun, Sundui-Yanjmaa Luvsangenden, Gankhuyag Gochoosuren, Dolgorjav Myagmarjav, Oyungoo Badamdorj, Khishigsuren Zuunnast, et al.
  • Journal: Nursing Reports
  • Publication Date: November 15, 2024
  • DOI: 10.3390/nursrep14040257
  • ISSN: 2039-4403

Effects of Outdoor Air Pollution on Hospital Admissions from Cardiovascular Diseases in the Capital City of Mongolia

  • Authors: Nandin-Erdene Bayart, Gavin Pereira, Christopher M. Reid, Sylvester Dodzi Nyadanu, Oyungoo Badamdorj, Bazarzagd Lkhagvasuren, Krassi Rumchev
  • Journal: Atmospheric Pollution Research
  • Publication Date: October 2024
  • DOI: 10.1016/j.apr.2024.102338

Medical Education in Mongolia: Challenges and Opportunities

  • Authors: Oyungoo Badamdorj, Ryenchindorj Erkhembayar, Bayarbat Gombo, Baljinnyam Baatarpurev, Dorjbalam Gansukh, Basbish Tsogbadrakh, Oyuntsetseg Sandag, Tserendagva Dalkh, Sumberzul Nyamjav
  • Journal: Medical Teacher
  • Publication Date: September 2024
  • DOI: 10.1080/0142159X.2024.2336077

The Effect of Outcome-Based Education on Clinical Performance and Perception of Pediatric Care of the Third-Year Nursing Students in Mongolia

  • Authors: Khishigdelger Lkhagvaa, Basbish Tsogbadrakh, Gankhuyag Gochoosuren, Oyungoo Badamdorj, Azadeh Stark
  • Journal: PLOS ONE
  • Publication Date: June 11, 2024
  • DOI: 10.1371/journal.pone.0305298

Association Between Short-Term Exposure to Ambient Air Pollution and Mortality for Cardiovascular Diseases in Ulaanbaatar City, Mongolia

  • Authors: Nandin-Erdene Bayart, Krassi Rumchev, Christopher M. Reid, Sylvester Dodzi Nyadanu, Oyungoo Badamdorj, Gavin Pereira
  • Publisher: SSRN
  • Year: 2023
  • DOI: 10.2139/ssrn.4597999
  • ISSN: 15565068