Category: BIOGRAPHY

Scopus

Education 🎓:

Jie Meng holds a Ph.D. in Neuroscience from Kyushu University, Japan, completed in 2019. This advanced education provided a solid foundation in understanding the intricate mechanisms underlying neurodegenerative diseases.

Work Experience 💼:

Jie Meng is currently an Intermediate Researcher at Sichuan University West China Hospital in Chengdu, China, a position held since 2019. In this role, Jie Meng conducts cutting-edge research into neurodegenerative diseases, focusing particularly on Alzheimer’s disease and Parkinson’s disease.

Awards and Honors

Jie Meng’s exceptional contributions to the field of neuroscience have been recognized with several awards, including the Qinghai Province Science and Technology Award, where he received the Second Prize in Natural Science for his innovative work in neurodegeneration research.

Research Interests:

Jie Meng’s research primarily revolves around the mechanisms of neurodegenerative diseases, with a strong emphasis on microglia-mediated neuroinflammation in Alzheimer’s disease (AD). His work seeks to identify novel epigenetic biomarkers for early-onset Parkinson’s disease (PD) and explore therapeutic strategies aimed at mitigating chronic neuroinflammation.,Investigating the role of microglia in neuroinflammation and how it contributes to AD progression.,Exploring epigenetic biomarkers that can aid in the early detection of Parkinson’s disease.,Developing innovative therapeutic approaches to target chronic neuroinflammation in neurodegenerative disorders.

📚 Publication

Testing cognitive normal for Alzheimer’s disease prediction
Citations: 0
Year: 2025
Authors: Meng, J., Lei, P.
Journal: Journal of Neurochemistry

Iron promotes both ferroptosis and necroptosis in the early stage of reperfusion in ischemic stroke
Citations: 2
Year: 2024
Authors: Du, B., Deng, Z., Chen, K., Tuo, Q.-Z., Lei, P.
Journal: Genes and Diseases

How brain ‘cleaners’ fail: Mechanisms and therapeutic value of microglial phagocytosis in Alzheimer’s disease
Citations: 12
Year: 2024
Authors: Ni, J., Xie, Z., Quan, Z., Meng, J., Qing, H.
Journal: GLIA

Thrombin induces ferroptosis in triple-negative breast cancer through the cPLA2α/ACSL4 signaling pathway
Citations: 5
Year: 2024
Authors: Xu, S., Tuo, Q.-Z., Meng, J., Li, C.-L., Lei, P.
Journal: Translational Oncology

Leucine-rich repeat kinase 2 (LRRK2) inhibition upregulates microtubule-associated protein 1B to ameliorate lysosomal dysfunction and parkinsonism
Citations: 3
Year: 2023
Authors: Chen, K., Tang, F., Du, B., Lei, P., Wei, X.-W.
Journal: MedComm

The Dual Nature of Microglia in Alzheimer’s Disease: A Microglia-Neuron Crosstalk Perspective
Citations: 8
Year: 2023
Authors: Xie, Z., Meng, J., Wu, Z., Qing, H., Ni, J.
Journal: Neuroscientist

Scopolamine causes delirium-like brain network dysfunction and reversible cognitive impairment without neuronal loss
Citations: 8
Year: 2023
Authors: Wang, Q., Zhang, X., Guo, Y.-J., Yue, J.-R., Lei, P.
Journal: Zoological Research

Microglial cathepsin E plays a role in neuroinflammation and amyloid β production in Alzheimer’s disease
Citations: 14
Year: 2022
Authors: Xie, Z., Meng, J., Kong, W., Qing, H., Ni, J.
Journal: Aging Cell

Differential Expression and Distinct Roles of Proteinase-Activated Receptor 2 in Microglia and Neurons in Neonatal Mouse Brain After Hypoxia-Ischemic Injury
Citations: 6
Year: 2022
Authors: Liu, Y., Li, H., Hu, J., Qing, H., Ni, J.
Journal: Molecular Neurobiology

Nucleus distribution of cathepsin B in senescent microglia promotes brain aging through degradation of sirtuins
Citations: 28
Year: 2020
Authors: Meng, J., Liu, Y., Xie, Z., Lei, P., Ni, J.
Journal: Neurobiology of Aging

Conclusion

In conclusion, to fully assess Dr. Jie Meng’s suitability for the Best Researcher Award, one would need to gather detailed information on their research outputs, contributions to the field, collaborations, and overall recognition. If their work aligns with the criteria outlined above, Dr. Meng could very well be a strong contender for the award. Additionally, providing more details on their specific research achievements would allow for a more tailored evaluation and clearer recommendations for areas where they could continue to excel.

Shahla Akram | Educational Psychology | Best Researcher Award

Published on 24/12/202424/12/2024 by Cognitive Scientist Awards

Shahla Akram | Educational Psychology | Best Researcher Award

Assistant Professor at NCBA&E , Pakistan

Dr. Shahla Akram is a dedicated academic and researcher in the field of economics, specializing in social inequality, economic growth, and social cohesion. With an extensive academic background, she completed her PhD in Economics in 2022 from the National College of Business Administration & Economics, Lahore, Pakistan. Dr. Akram has contributed significantly to understanding economic disparities and opportunities, having published numerous articles in prestigious journals. She has also participated in several international conferences, presenting her research on inequality and social issues. Dr. Akram’s work focuses on addressing socioeconomic challenges, particularly in Pakistan, through evidence-based research. As a guest researcher at the International Institute of Social Studies, Erasmus University, she furthered her expertise in developmental economics. In addition to her academic role, she is passionate about teaching, having held various teaching and research positions across multiple institutions in Pakistan.

Profile

Google Scholar

Orcid

Education 🎓:

Dr. Shahla Akram completed her PhD in Economics in 2022 from the National College of Business Administration & Economics, Lahore, Pakistan. Her dissertation focused on the intricate relationship between inequality, social cohesion, and economic growth, employing multi-level estimation methods. Before that, she earned her MPhil in Economics in 2016, also from the same institution, with a thesis on “Inequality of Opportunities and Income in Punjab, Pakistan.” In 2005, she completed her Master of Arts in Economics from Government College University, Faisalabad. To enhance her pedagogical and professional skills, she obtained a TESOL qualification in 2013 from Lahore College for Women University, and a PGD in Information Technology in 2010 from the same institution. Her academic journey also included a B.Ed. from the University of Education, Lahore, in 2004. Dr. Akram’s commitment to learning and research is evident in her pursuit of continuous education.

Work Experience 💼:

Dr. Shahla Akram has gained extensive teaching experience in various roles, having worked as a Visiting Assistant Professor at the University of Education, Lahore, from 2020 to 2021. She served as a Visiting Lecturer at Government College University, Lahore, from 2019 to 2020, and a Lecturer at National College of Business Administration & Economics from 2017 to 2019. She also contributed as a Research Associate at NCBA&E and at the Policy and Strategic Planning Unit, Punjab, where she supported key research on healthcare and development. Her expertise extends to teaching economics and management, and she is proficient in using statistical software such as SPSS, Stata, and E Views. She has participated in several seminars and workshops, focusing on data analysis, microdata handling, and social cohesion. Additionally, Dr. Akram worked as an English teacher in Punjab Lyceum, Faisalabad, early in her career, showcasing her versatility in education.

Awards and Honors

Dr. Shahla Akram has received several honors throughout her academic and professional career. She was awarded a prestigious research fellowship by the Higher Education Commission of Pakistan, which allowed her to serve as a Guest PhD student at the International Institute of Social Studies (ISS), Erasmus University, The Hague, The Netherlands, during 2020. This fellowship enabled her to work closely with prominent scholars and further develop her research on inequality and economic growth. Dr. Akram has also been recognized for her contributions to academic publishing, presenting research at international conferences and securing multiple journal publications. Her role in advancing economic and social research in Pakistan has earned her respect and acknowledgment within academic circles. Additionally, her involvement in various workshops, such as on microdata handling and report writing, demonstrates her dedication to personal and professional growth.

Research Interests:

Dr. Shahla Akram’s research focuses primarily on the intersection of inequality, social cohesion, and economic growth, with a particular emphasis on Pakistan. Her work explores the dynamics of inequality of opportunities and income, and their impact on social and economic outcomes. She examines factors such as child well-being, educational disparities, socioeconomic determinants of early childhood development, and the persistence of child labor. A key area of interest for Dr. Akram is the role of institutions and social inclusion in fostering economic development, trust-building, and sustainable growth. Her recent projects include analyzing the factors influencing low birth weight, the effectiveness of kangaroo mother care, and teacher motivation strategies. Additionally, Dr. Akram’s research often delves into the regional and gender-based variations in inequality, using multilevel estimation techniques to provide comprehensive insights into these pressing issues. She is also exploring the role of civil society in promoting economic growth and environmental sustainability.

📚 Publication

Estimating Inequality of Opportunities in Punjab (Pakistan): A Non-Parametric Approach

Authors: Z Pervaiz, S Akram

Citations: 14

Year: 2018

Journal: Pakistan Journal of Commerce & Social Sciences 12 (1), 136-152

The comparison of discomfort level between upper arm and forearm tourniquet.

Authors: ES Ng, JR Ting, SL Foo, SA Akram, AA Fadzlina, JS Alywiah, TS Ahmad

Citations: Not provided in your query, but this paper was published in The Medical Journal of Malaysia, Volume 61, Pages 23-26.

Year: 2006

Mother’s Education as a Predictor of Individual’s Opportunities to Learn and Earn

Authors: S Akram, Z Pervaiz

Citations: 10

Year: 2020

Journal: Elementary Education Online, 19 (4), 879-884

Cross-District Analysis of Income Inequality and Education Inequality in Punjab (Pakistan)

Authors: S Akram, Z Pervaiz, SA Jan, K Saeed

Citations: 6

Year: 2021

Journal: International Journal of Management 12 (2), 561-570

An Analysis of Intergenerational Mobility in Pakistan

Authors: Z Pervaiz, S Akram

Citations: 6

Year: 2019

Journal: International Journal of Business Research 19 (1), 17-30

Conclusion

Dr. Shahla Akram’s extensive academic background, combined with her exceptional research in addressing complex social and economic issues, positions her as a prime candidate for the “Best Researcher Awards.” Her dedication to advancing knowledge in her field, alongside her published work in reputable journals, underlines her suitability for this recognition. Furthermore, her active participation in international research collaborations and seminars demonstrates her leadership in the academic community. Dr. Akram’s contributions to the understanding of inequality and its effects on economic and social outcomes make her a remarkable researcher deserving of this honor.

Damiran Dulamsuren | Nursing | Best Researcher Award

Published on 24/12/202424/12/2024 by Cognitive Scientist Awards

Dr. Damiran Dulamsuren | Nursing | Best Researcher Award

Doctorate at School of Nursing, International University of Ulaanbaatar, Mongolia, Mongolia

Dr. Damiran Dulamsuren is an accomplished nursing professional with a PhD in Nursing from Yonsei University, South Korea, and master’s degrees in Nursing Science and Education from Chiang Mai University, Thailand, and the University of Humanity, Mongolia. As the Dean of the School of Nursing at the International University of Ulaanbaatar, Mongolia, she brings over a decade of teaching experience, having previously served as a postgraduate training coordinator and lecturer at Darkhan Medical School. Her research interests include nursing management, education, and leadership, with notable contributions through peer-reviewed publications and textbooks such as Nursing Ethics and Critical Thinking and Clinical Reasoning. Dr. Dulamsuren is an active member of the Mongolian Nurses Association and a board member of Holistic Nursing Care NGO. She has presented her research at prestigious international conferences and collaborates globally, including with the Global Consortium of Nursing & Midwifery Studies. With a commitment to evidence-based practice and holistic care, she is a driving force in advancing nursing education and healthcare systems in Mongolia and beyond.

Profile

The factors that are associated with nurse immigration in lower‐and middle‐income countries: An integrative review

Education 🎓:

Dr. Damiran Dulamsuren’s academic journey showcases her commitment to nursing education and professional growth. She earned her Ph.D. in Nursing from Yonsei University, South Korea, where she engaged in advanced research and collaborations. She also holds a Master’s degree in Nursing Science from Chiang Mai University, Thailand, and a Master’s in Education from the University of Humanity, Mongolia. Her diverse educational background reflects her interdisciplinary approach to healthcare, combining educational innovation with nursing practice to improve patient care and professional development.

Work Experience 💼:

Dr. Dulamsuren currently serves as the Dean of the School of Nursing at the International University of Ulaanbaatar, Mongolia. She has over a decade of teaching experience, including roles as a postgraduate training coordinator and lecturer at Darkhan Medical School. Her leadership extends to international collaborations as a Mongolian representative researcher in the Global Consortium of Nursing & Midwifery Studies at New York University. She has also been a Graduate Research Assistant for the College of Nursing and Brain Korea 21 FOUR Project at Yonsei University, contributing to transformative projects in healthcare.

Awards and Honors

Dr. Dulamsuren’s dedication has been recognized through prestigious fellowships, including Harvard University’s T2T program. Her impactful research and leadership in nursing education have positioned her as a distinguished figure in the field, earning her invitations to global academic initiatives and platforms.

Research Interests:

Dr. Damiran Dulamsuren’s research interests focus on advancing the field of nursing through innovative approaches in nursing management, education, and leadership. She explores critical topics such as authentic leadership and its impact on job satisfaction among nurses, readiness for practice among nursing students, and factors influencing nurse migration in lower- and middle-income countries. Her systematic reviews and concept analyses have provided valuable insights into clinical readiness and brain drain in the nursing profession. Through her work, she aims to improve nursing practices, enhance educational frameworks, and develop strategies for holistic healthcare delivery in diverse settings.

📚 Publications

Authors: T. Lee, D. Damiran, K.D. Konlan, Y. Ji, Y.S. Yoon, H. Ji
Journal: Nurse Education in Practice
Volume: 69
Article Number: 103614
Year: 2023
Cited By: 18

Authors: K.D. Konlan, T.W. Lee, D. Damiran
Journal: Nursing Open
Volume: 10
Issue: 12
Pages: 7454–7466
Year: 2023
Cited By: 13

Clinical Readiness for Practice of Nursing Students: A Concept Analysis

Authors: K.D. Konlan, D. Damiran, T.W. Lee
Journal: International Journal of Environmental Research and Public Health
Volume: 21
Issue: 12
Article Number: 1610
Year: 2024

Conclusion

Dr. Damiran Dulamsuren’s remarkable contributions to nursing education, leadership, and research make her an exceptional candidate for the Best Researcher Award. Her dedication to advancing nursing through innovative research, global collaborations, and impactful publications has significantly influenced the field both in Mongolia and internationally.

Shantala Hegde | Psychology | Best Researcher Award

Published on 24/12/202424/12/2024 by Cognitive Scientist Awards

Dr. Shantala Hegde | Psychology | Best Researcher Award

Additional Professor at National Institute of Mental Health and Neuro Sciences, India.

Dr. Shantala Hegde, an Additional Professor, is an accomplished researcher in the field of neuroscience and cognitive science, with a particular focus on Parkinson’s disease, music-based interventions, and neuropsychology. Her contributions include notable publications in esteemed journals such as Movement Disorders, and participation in international and national research projects. She has demonstrated expertise in applying machine learning approaches to differentiate neurodegenerative conditions, investigating auditory processing in essential tremor, and studying resting-state brain networks in Parkinson’s disease. Additionally, her work explores the neuropsychological impacts of music and cognitive retraining interventions.

Profile

Education 🎓:

Dr. Shantala Hegde holds an advanced educational background rooted in neuroscience and psychology. She earned her doctoral degree in neuropsychology, focusing on cognitive and emotional processing. Dr. Hegde’s training combines expertise in clinical neuropsychology, neuroimaging, and music cognition. Throughout her academic journey, she pursued interdisciplinary education, blending neuroscience with art and technology to explore innovative therapeutic approaches. Her commitment to advancing education extends to her active participation in international conferences and workshops. She continually builds on her foundation, contributing to emerging fields like machine learning in neuropsychology. Her education emphasizes a blend of traditional psychological understanding and cutting-edge technological methods, establishing her as a leader in neuroscience research and education.

Work Experience 💼:

Dr. Shantala Hegde has over two decades of experience in neuroscience, focusing on neuropsychological assessment, cognitive rehabilitation, and neuroimaging. As an Additional Professor, she has led numerous research initiatives exploring neurodegenerative disorders, particularly Parkinson’s disease, and interventions for cognitive dysfunction. Her expertise spans academia, clinical neuropsychology, and interdisciplinary research, enabling her to contribute significantly to her field. Dr. Hegde has served as a collaborator on prestigious international projects, such as Many Voices, and has secured national and international research grants. Her experience includes applying advanced methodologies, such as machine learning, to differentiate cognitive impairments and designing music-based therapeutic interventions. Dr. Hegde’s extensive teaching experience and mentorship have inspired many students and researchers in neuroscience, psychology, and cognitive science.

Awards and Honors

Dr. Shantala Hegde has received several accolades for her contributions to neuroscience and cognitive science. She has been recognized for her innovative research on music therapy and neuropsychological interventions. Dr. Hegde’s groundbreaking work on machine learning applications in Parkinson’s disease has garnered appreciation at international conferences, including Movement Disorders. She has been invited to deliver keynote presentations at renowned conferences and has received awards for her interdisciplinary contributions to music cognition and neuropsychology. Dr. Hegde’s participation in prestigious projects, such as Many Voices, reflects her recognition as a global collaborator in neuroscience research. Her dedication to advancing therapeutic interventions for neurodegenerative disorders continues to earn her accolades and recognition from the academic and scientific communities.

Research Interests:

Dr. Shantala Hegde’s research focuses on understanding cognitive and emotional processing in neurodegenerative disorders, particularly Parkinson’s disease. She leverages interdisciplinary approaches, combining machine learning, neuropsychology, and music cognition, to develop innovative diagnostic and therapeutic interventions. Her studies include differentiating Parkinson’s disease dementia from mild cognitive impairment, analyzing auditory processing in essential tremor, and exploring resting-state brain networks in Parkinson’s disease with visual hallucinations. Additionally, Dr. Hegde investigates the therapeutic potential of music-based interventions to target stress and cognitive dysfunction. Her ongoing projects include collaborations on international research initiatives like Many Voices and studies on postoperative delirium and cognitive dysfunction. Dr. Hegde’s research aims to integrate technology and art into neuroscience, fostering new approaches to diagnosing and managing cognitive disorders.

📚 Publication

Music-based cognitive remediation therapy for patients with traumatic brain injury

Authors: S. Hegde

Citations: 158

Year: 2014

Addition of home-based cognitive retraining to treatment as usual in first-episode schizophrenia patients: A randomized controlled study

Authors: S. Hegde, S.L. Rao, A. Raguram, B.N. Gangadhar

Citations: 79

Year: 2012

Neural plasticity: The substratum of music-based interventions in neurorehabilitation

Authors: D. Chatterjee, S. Hegde, M. Thaut

Citations: 71

Year: 2021

Interactions of visual hallucinations, rapid eye movement sleep behavior disorder, and cognitive impairment in Parkinson’s disease: A review

Authors: A. Lenka, S. Hegde, K.R. Jhunjhunwala, P.K. Pal

Citations: 70

Year: 2016

Cognitive profile and structural findings in Wilson’s disease: A neuropsychological and MRI-based study

Authors: S. Hegde, S. Sinha, S.L. Rao, A.B. Taly, M.K. Vasudev

Citations: 58

Year: 2010

The Oxford handbook of music and the brain

Authors: D. Hodges, M. Thaut

Citations: 57

Year: 2019

Music therapy for mental disorder and mental health: The untapped potential of Indian classical music

Authors: S. Hegde

Citations: 54

Year: 2017

Hippocampal subfield atrophy in patients with Parkinson’s disease and psychosis

Authors: A. Lenka, M. Ingalhalikar, A. Shah, J. Saini, S.S. Arumugham, S. Hegde, et al.

Citations: 47

Year: 2018

Pattern of cognitive impairment in patients with Parkinson’s disease and psychosis: A critical review

Authors: A. Lenka, S. Hegde, S.S. Arumugham, P.K. Pal

Citations: 43

Year: 2017

Cognitive deficits and its relation with psychopathology and global functioning in first-episode schizophrenia

Authors: S. Hegde, J. Thirthalli, S.L. Rao, A. Raguram, M. Philip, B.N. Gangadhar

Citations: 43

Year: 2013

Conclusion

Dr. Shantala Hegde is an exemplary candidate for the Best Researcher Award, owing to her impactful contributions to neuroscience, cognitive science, and interdisciplinary research. Her innovative applications of machine learning and music therapy, combined with a robust track record of publications and collaborative projects, position her as a leader in her field. By addressing areas for improvement, such as enhancing the visibility and impact of her work, she could further solidify her standing as an eminent researcher.

Sen Wang | Scientometrics | Best Researcher Award

Published on 23/12/202423/12/2024 by Cognitive Scientist Awards

Mr. Sen Wang | Scientometrics | Best Researcher Award

Teaching assistant at Hebei Finance University, China.

Sen Wang (1996-) is a researcher and academic from Baoding, China, specializing in public administration and law. He received his Bachelor’s degree in Law from Jilin University in 2018 and his Master’s degree in Public Administration from Hebei University in 2023. Currently, he serves at Hebei Finance University, focusing on public cultural service and information security. Wang’s recent research, including his article Public Health Crisis Management Caused by COVID-19: A Scientometrics Review, has garnered significant attention, earning him a nomination for the Best Researcher Award. His work reflects a strong commitment to addressing public administration challenges in contemporary society.

Profile

Education 🎓:

Sen Wang’s educational journey reflects his dedication to the fields of public administration and law. He earned his Bachelor’s degree in Law from Jilin University, Changchun, China, in 2018, where he developed a strong foundation in administrative studies. Building upon this, he pursued a Master’s degree in Public Administration at Hebei University, Baoding, China, graduating in 2023. During his time at Hebei University, he honed his research skills and expanded his expertise in public cultural service and information security, areas that continue to influence his professional and academic work.

Work Experience 💼:

Sen Wang has accumulated valuable professional experience in both academic and corporate sectors. Currently, he serves at Hebei Finance University in the Personnel Department, a position he has held since January 2024. In this role, he contributes to the university’s administration and academic research. Prior to his current role, Wang worked as a Personnel Officer at China Telecom Corp Ltd in Beijing, where he was involved in human resources management from 2018 to 2021. This experience helped him develop skills in organizational administration and personnel management, which complement his academic research in public administration and public cultural service.

Awards and Honors

Sen Wang has earned recognition for his contributions to the field of public administration, particularly through his research on public health crisis management. His article Public Health Crisis Management Caused by COVID-19: A Scientometrics Review, published in November 2024, not only contributed significantly to the field but also led to his nomination for the prestigious Best Researcher Award. This acknowledgment highlights his emerging influence in academic circles and his potential to continue making impactful contributions to public administration research and policy development.

Research Interests:

Sen Wang’s research interests primarily focus on public administration, with particular emphasis on public cultural service and information security. His work explores the management and enhancement of public services, aiming to improve accessibility and effectiveness in the cultural sector. Additionally, Wang is deeply interested in the intersection of information security and public administration, studying how to safeguard sensitive data within government systems. His research reflects a strong commitment to addressing the evolving challenges in public policy, particularly in the context of technological advancements and their impact on public service delivery.

📚 Publication

Title: Public Health Crisis Management Caused by COVID-19: A Scientometrics Review

Journal: The International Journal of Health Planning and Management
Date: November 6, 2024
DOI: 10.1002/hpm.3867
Contributors: Sen Wang, Miaomei Liu

Conclusion

Sen Wang’s academic achievements, professional experience, and impactful research make him a highly suitable nominee for the Best Researcher Award. His contribution to public health crisis management adds substantial value to the ongoing dialogue in public administration research.

Sos Agaian | Computational Vision | Best Researcher Award

Published on 23/12/202423/12/2024 by Cognitive Scientist Awards

Prof. Sos Agaian | Computational Vision | Best Researcher Award

Distinguished Professor at College of Staten Island and the Graduate Center, CUNY, United States.

Prof. Sos Agaian is a distinguished mathematician, engineer, and computer scientist with an illustrious academic and professional career. He holds a Ph.D. in Mathematics and Physics from the Steklov Institute of Mathematics, Russian Academy of Sciences, and a Doctor of Engineering Sciences from the Academy of Sciences of the USSR. Currently, he serves as a Distinguished Professor at the College of Staten Island and the Graduate Center, CUNY, and is affiliated with the University of Texas Health Science Center at San Antonio. Prof. Agaian has made groundbreaking contributions to computational vision, artificial intelligence, and multimedia analytics, holding multiple U.S. patents and authoring numerous high-impact publications. He has been named among Stanford University’s Top 2% of Scientists worldwide and is a Fellow of several prestigious organizations, including the AAAS, AIIA, and Academia Europaea. With over 100 keynote speeches globally and a legacy of mentoring accomplished researchers, his work continues to shape modern scientific advancements.

Profile

Education 🎓:

Prof. Sos Agaian’s educational journey is marked by excellence and a commitment to advancing mathematical and computational sciences. He earned his Ph.D. in Mathematics and Physics from the prestigious Steklov Institute of Mathematics, Russian Academy of Sciences, in Moscow, and holds a Doctor of Engineering Sciences degree from the Computer Center of the Academy of Sciences of the USSR. His academic foundation was further strengthened with an M.S. (summa cum laude) in Mathematics and Mechanics from Yerevan State University, Armenia. Additionally, Prof. Agaian pursued graduate studies at Moscow State University (Lomonosov University). He was awarded the title of Full Professor of Mathematics by the Supreme Attestation Committee of the Russian Federation in 1991. These achievements reflect a robust and diverse educational background that has propelled his pioneering contributions to mathematics, engineering, and computer science.

Work Experience 💼:

Prof. Sos Agaian has had an extensive and impactful career spanning academia, industry, and research. He is currently a Distinguished Professor at the College of Staten Island and the Graduate Center, CUNY, and also serves as a researcher at the Open Cloud Institute. He has held leadership positions, including Director of the Multimedia Analytics & Mobile Signal Processing Laboratory at the University of Texas at San Antonio (UTSA) and Professor at Yerevan State University in Armenia. Prof. Agaian has also served as a visiting professor at several renowned institutions worldwide, including Tufts University and Tampere International Center for Signal Processing in Finland. Throughout his career, Prof. Agaian has held pivotal roles in various scientific and research organizations, contributing significantly to computational vision, machine learning, and multimedia analytics. He has led numerous projects, earned multiple U.S. patents, and been recognized with prestigious awards, including being named a Fellow of the AAAS and the Asia-Pacific Artificial Intelligence Association. His leadership and innovation continue to inspire students, researchers, and professionals globally.

Awards and Honors

Prof. Sos Agaian has received numerous prestigious awards in recognition of his outstanding contributions to science, technology, and education. Notably, he has been named among the Top 2% of Scientists Worldwide by Stanford University for several consecutive years, including 2023, 2024, and previous years, reflecting the high impact of his scholarly work. He is also a Fellow of the Artificial Intelligence Industry Academy (AIIA), a member of Academia Europaea, and a Fellow of the Armenian Society of Fellows. His excellence is further acknowledged through accolades such as the Life Career Award from the Armenian Engineers and Scientists of America, SPIE Community Champion Award (2020), and being honored as a Distinguished Lecturer by the IEEE SMC Society (2022–2020). In 2018, Prof. Agaian received recognition for his significant career accomplishments from the Armenian Engineers and Scientists of America. His contributions have also led to invitations for keynote speeches at over 100 universities and major global companies.

Research Interests:

Prof. Sos Agaian’s research interests span several cutting-edge fields, including multimedia signal processing, computer vision, artificial intelligence, and machine learning. His work focuses on developing innovative methods for multimodal data analysis, image processing, and pattern recognition, particularly through deep learning and hypercomplex structures. He is also deeply involved in advancing multimedia analytics for small, medium, and large-scale data representation and applications. Additionally, Prof. Agaian’s research explores color transfer techniques, deep learning architectures, and the intersection of artificial intelligence with practical applications in various industries. His interdisciplinary approach aims to bridge the gap between theory and real-world impact, driving advancements in both academia and industry.

📚 Publications

NPCR and UACI randomness tests for image encryption
- Authors: Y Wu, JP Noonan, S Agaian
- Journal: Cyber Journals: Multidisciplinary Journals in Science and Technology
- Citations: 1559
- Year: 2011
Human-visual-system-inspired underwater image quality measures
- Authors: K Panetta, C Gao, S Agaian
- Journal: IEEE Journal of Oceanic Engineering
- Volume: 41(3), Pages: 541–551
- Citations: 1240
- Year: 2015
Hadamard matrices and their applications
- Author: A Sos
- Publisher: Springer-Verlag
- Citations: 831*
- Year: 1985
Hadamard matrices and their applications
- Author: A Sos
- Series: Lecture Notes in Mathematics, Volume: 1168
- Citations: 831*
- Year: 1985
Transform coefficient histogram-based image enhancement algorithms using contrast entropy
- Authors: SS Agaian, B Silver, KA Panetta
- Journal: IEEE Transactions on Image Processing
- Volume: 16(3), Pages: 741–758
- Citations: 721
- Year: 2007
Local Shannon entropy measure with statistical tests for image randomness
- Authors: PN Yue Wu, Yicong Zhou, George Saveriades, Sos Agaian, Joseph P Noonan
- Journal: Information Sciences
- Volume: 222, Pages: 323–342
- Citations: 652
- Year: 2013
Transform-based image enhancement algorithms with performance measure
- Authors: SS Agaian, K Panetta, AM Grigoryan
- Journal: IEEE Transactions on Image Processing
- Volume: 10(3), Pages: 367–382
- Citations: 544
- Year: 2001

Conclusion

Prof. Sos Agaian’s distinguished career, groundbreaking research, mentorship, and global contributions make him an exceptional candidate for the Best Researcher Award. His achievements align perfectly with the award’s objectives to recognize innovation, scholarly excellence, and societal impact.

Ui Wook Hwang | Animal Molecular Phylogeny | Best Researcher Award

Published on 23/12/202423/12/2024 by Cognitive Scientist Awards

Prof. Ui Wook Hwang | Animal Molecular Phylogeny | Best Researcher Award

Professor at Kyungpook National University, South Korea.

Prof. Ui Wook Hwang, a renowned molecular biologist and educator, has been a dedicated faculty member at the Department of Biology, Teachers College, KNU, Republic of Korea, since 2001, achieving the rank of Professor in 2012. He currently serves as Director of Brain Korea 21 Four, CEO of Phylomic Inc., and holds editorial roles in leading journals like Scientific Reports and International Journal of Molecular Sciences. With a Ph.D. in Animal Molecular Phylogenetics and Evolution from Seoul National University and postdoctoral fellowships in Germany and at Harvard University, his research focuses on arthropod phylogeny, mitochondrial genomics, and science education for gifted youth. He has led transformative projects, including Korea-EU research innovation programs and STEAM education development, while securing significant research funding. Prof. Hwang’s impactful work has earned him numerous accolades, including the Minister Award (Ministry of Environment) and the Best Journal Paper Award. A passionate educator, he inspires future scientists through courses in molecular systematics, bioinformatics, and science education.

Profile

Education 🎓:

Prof. Ui Wook Hwang has a distinguished academic foundation in molecular biology, phylogenetics, and evolution. He earned his Ph.D. in Animal Molecular Phylogenetics and Evolution from Seoul National University in 1998. He also holds an M.S. and B.A. in Molecular Genetics and Biology, respectively, from Jeonbuk National University. His global academic experience includes a postdoctoral fellowship at Yonsei University Medical School, Korea, and research positions in Germany and as a visiting scholar at Harvard University. This robust academic portfolio underpins his expertise in molecular systematics and evolutionary biology.

Work Experience 💼:

With over two decades of academic service at Kyungpook National University (KNU), Prof. Hwang has held various roles, including Professor, Department Chair, and Director of multiple institutes. His leadership spans across research innovation programs, the International Junior Science Olympiad, and bio-convergence initiatives. As a project leader and administrator, he has spearheaded national and international research projects, demonstrating an exceptional ability to integrate science, education, and industrial collaboration.

Awards and Honors

Prof. Hwang’s contributions have earned him accolades such as the Minister Award from the Ministry of Environment and the Won-Am Academy Award. His recognition extends to Best Journal Paper of the Year and prestigious scholarships, including one from the LG Yonam Foundation. These honors affirm his status as a leading figure in his field, acknowledged both nationally and internationally.

Research Interests:

Prof. Hwang’s research focuses on arthropod phylogeny, mitochondrial genomics, and population genetics of invertebrates. His interdisciplinary approach extends to bioinformatics and science education for gifted youth. His work has contributed to advancing the understanding of genome evolution and molecular systematics, reflecting a profound commitment to both research excellence and societal impact.

📚 Publications

Mitochondrial protein phylogeny joins myriapods with chelicerates
- Authors: UW Hwang, M Friedrich, D Tautz, CJ Park, W Kim
- Journal: Nature
- Volume: 413(6852), Pages: 154–157
- Citations: 324
- Year: 2001
General properties and phylogenetic utilities of nuclear ribosomal DNA and mitochondrial DNA commonly used in molecular systematics
- Authors: UW Hwang, W Kim
- Journal: The Korean Journal of Parasitology
- Volume: 37(4), Pages: 215
- Citations: 220
- Year: 1999
Identification of Taenia asiatica in China: Molecular, morphological, and epidemiological analysis of a Luzhai isolate
- Authors: KS Eom, HK Jeon, Y Kong, UW Hwang, Y Yang, X Li, L Xu, Z Feng, …
- Journal: Journal of Parasitology
- Volume: 88(4), Pages: 758–764
- Citations: 107
- Year: 2002
Phylogenetic position of the ciliates Phacodinium (Order Phacodiniida) and Protocruzia (Subclass Protocruziidia) and systematics of the spirotrich ciliates examined by small …
- Authors: MK Shin, UW Hwang, W Kim, ADG Wright, C Krawczyk, DH Lynn
- Journal: European Journal of Protistology
- Volume: 36(3), Pages: 293–302
- Citations: 87
- Year: 2000
One-step PCR amplification of complete arthropod mitochondrial genomes
- Authors: UW Hwang, CJ Park, TS Yong, W Kim
- Journal: Molecular Phylogenetics and Evolution
- Volume: 19(3), Pages: 345–352
- Citations: 84
- Year: 2001
Complete mitochondrial genome of Bugula neritina (Bryozoa, Gymnolaemata, Cheilostomata): phylogenetic position of Bryozoa and phylogeny of lophophorates …
- Authors: KH Jang, UW Hwang
- Journal: BMC Genomics
- Volume: 10, Pages: 1–18
- Citations: 82
- Year: 2009

Conclusion

Prof. Ui Wook Hwang’s exceptional achievements in research, education, and innovation make him a highly suitable candidate for the Best Researcher Award. His vast contributions to molecular biology, combined with his leadership in national and international initiatives, have significantly advanced scientific knowledge and education.

Rakesh Kaushik | Animal Biotechnology | Best Researcher Award

Published on 21/12/202421/12/2024 by Cognitive Scientist Awards

Dr. Rakesh Kaushik | Animal Biotechnology | Best Researcher Award

Research Associate atIndian Council of Agricultural Research – Central Institute for Research on Goats, India.

Dr. Rakesh Kaushik is a highly accomplished researcher in the field of Biotechnology, specializing in molecular biology, genetics, and bioinformatics. He holds a Ph.D. in Biotechnology from GLA University, Mathura, India, with significant contributions to understanding heat stress regulation in goats. Dr. Kaushik has extensive experience working with ICAR-Central Institute for Research on Goats, where he has participated in various research projects related to goat breeding, health, and productivity, including the AICRP on Goat Improvement Project. He has contributed to several prestigious journals, conducted numerous experiments in molecular genetics, and gained hands-on experience with a range of cutting-edge techniques in genomics, proteomics, and bioinformatics.

Profile

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Education 🎓:

Dr. Rakesh Kaushik holds a Ph.D. in Biotechnology from GLA University, Mathura (2020), with a thesis on heat stress regulation and gene expression in goats. He also completed his Master’s in Biotechnology from R.B.S College, Agra (2011), focusing on molecular characterization of genes in goats. Dr. Kaushik completed his B.Sc. from S.GM College, Mathura (2009) and pursued B.Ed. from Nehru College, Rajasthan (2012). His diverse educational background laid the foundation for his research interests in molecular biology, microbiology, and bio-fermentation engineering.

Work Experience 💼:

Dr. Kaushik has over 10 years of research experience, having worked as a Research Associate at various ICAR-funded projects, including the AICRP Goat Project and Jamunapari Project. He contributed to gene expression studies in response to heat stress in goats, molecular lab experiments, and field research on growth performance, milk production, and reproduction. Additionally, Dr. Kaushik worked as Scientist-B at ICMR-NIMR, New Delhi, focusing on COVID-19 research, including RNA isolation and RT-PCR. His current role as a Research Associate at ICAR-CIRG involves project coordination, lab management, and data analysis.

Awards and Honors

Dr. Kaushik’s excellence in research and dedication have been recognized through numerous awards. He received an Achievement Award during his tenure at ICMR-NIMR for his work on COVID-19 research. His contributions to molecular biology and biotechnology have been acknowledged in various national and international conferences. Dr. Kaushik has also received accolades for his leadership in coordinating projects and training students in molecular techniques. His work in biotechnology continues to be instrumental in improving animal health and stress management.

Research Interests:

Dr. Kaushik’s research focuses on heat stress regulation, molecular genetics, and bioinformatics, particularly in goats. He is deeply involved in understanding the molecular mechanisms underlying stress tolerance phenotypes and gene expression in response to environmental stressors. His research also extends to proteomics, genomics, and immunological studies, with a significant interest in the molecular characterization of goat breeds, improving livestock performance, and studying the impact of stress on gene expression. His ongoing research aims to develop more resilient livestock through genetic and molecular insights.

📚 Publications

- Differential expression pattern of heat shock protein 70 gene in tissues and heat stress phenotypes in goats during peak heat stress period
  - Authors: PK Rout, R Kaushik, N Ramachandran
  - Citations: 74
  - Year: 2016
- Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics
  - Authors: PK Rout, O Matika, R Kaushik, MS Dige, G Dass, MK Singh, S Bhusan
  - Citations: 61
  - Year: 2018
- Identification of heat stress-susceptible and-tolerant phenotypes in goats in semiarid tropics
  - Authors: PK Rout, R Kaushik, N Ramachandran, SK Jindal
  - Citations: 30
  - Year: 2017
- Estimation of co (variance) components and genetic parameters for growth and feed efficiency traits in Jamunapari goat
  - Authors: MS Dige, PK Rout, MK Singh, G Dass, R Kaushik, GR Gowane
  - Citations: 23
  - Year: 2021
- Molecular characterization and expression profiling of ENOX2 gene in response to heat stress in goats
  - Authors: R Kaushik, MS Dige, PK Rout
  - Citations: 17
  - Year: 2016
- Milk composition traits in Jamunapari goats: Genetic parameters and effect of CSN1S1 gene variants
  - Authors: M Verma, MS Dige, R Kaushik, D Gautam, S De, PK Rout
  - Citations: 16
  - Year: 2020
- Estimation of genetic parameters and genetic trends for milk yield traits in Jamunapari goats in semiarid tropics
  - Authors: PK Rout, O Matika, R Kaushik, MS Dige, G Dass, SK Singh
  - Citations: 15
  - Year: 2017
- Association of a SNP in KISS 1 gene with reproductive traits in goats
  - Authors: SS Sahoo, C Mishra, R Kaushik, PK Rout, MK Singh, S Bhusan, MS Dige
  - Citations: 14
  - Year: 2021
- Establishing the genetic variation in physiological response in response to heat stress in semi-arid region in Jamunapari goats
  - Authors: R Kaushik, A Goel, PK Rout
  - Citations: 13
  - Year: 2020
- Superoxide dismutase activity in response to heat stress in Jamunapari goats
  - Authors: R Kaushik, M Dige, G Dass, N Ramachandran, PK Rout
  - Citations: 13
  - Year: 2018
- Identification of bioactive peptides in goat milk and their health application
  - Authors: G Sharma, PK Rout, R Kaushik, G Singh
  - Citations: 13
  - Year: 2017
- Genetic studies of heat stress regulation in goat during hot climatic condition
  - Authors: R Kaushik, A Arya, D Kumar, A Goel, PK Rout
  - Citations: 10
  - Year: 2023
- Differential expression and characterization of ATP1A1 exon17 gene by high resolution melting analysis and RT-PCR in Indian goats
  - Authors: R Kaushik, A Goel, PK Rout
  - Citations: 9
  - Year: 2019

Conclusion

Dr. Rakesh Kaushik stands out as a deserving candidate for the Best Researcher Award due to his significant contributions to molecular biology, biotechnology, and animal health. His interdisciplinary research, leadership in scientific projects, and commitment to advancing knowledge in the field of goat improvement position him as a highly influential researcher. With a strong foundation in research and technical expertise, Dr. Kaushik has the potential to make even greater strides in his future scientific endeavors. This award would be a well-earned recognition of his dedication, excellence, and impact in the field.

Eman Younis | Artificial Intelligence | Best Researcher Award

Published on 21/12/202421/12/2024 by Cognitive Scientist Awards

Prof. Eman Younis | Artificial Intelligence | Best Researcher Award

Professor at Minia university, Egypt.

Dr. Eman M.G. Younis is a distinguished academic and researcher in the fields of information systems, data mining, semantic web, machine learning, and geographic information systems (GIS). With a robust educational foundation, including a Ph.D. in Informatics from Cardiff University and numerous impactful publications, Dr. Younis has significantly contributed to advancements in data science and geospatial technologies. Her leadership roles at Minia University, Egypt, further emphasize her dedication to research, teaching, and community development.

Profile

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Education 🎓:

Dr. Eman M.G. Younis holds a Doctor of Philosophy in Informatics from Cardiff University, UK (2009–2013). Her Ph.D. thesis, titled “Hybrid Geo-spatial Query Processing on the Semantic Web,” explored the integration of semantic web technologies with spatial data queries. She earned her Master of Science in Information Technology from Menoufia University, Egypt (2004–2007), where her thesis focused on “Automatic Web Page Classification with Data Mining Techniques.” Prior to this, she completed her Bachelor of Science in Information Systems & Technology from Zagazig University, Egypt (1998–2002), graduating with honors (GPA: 82.5%). Throughout her academic journey, Dr. Younis demonstrated exceptional aptitude for research and innovation, laying the foundation for her interdisciplinary expertise in informatics, GIS, and data science. Her education reflects a consistent pursuit of cutting-edge technologies and methodologies, making her a leader in her field.

Work Experience 💼:

Dr. Eman M.G. Younis has a rich professional background encompassing teaching, research, and administrative roles. She began her academic career as a Teaching Assistant at Minia University, Egypt (2003–2009), later serving as a Lecturer (2014) and Assistant Professor (2018–2019). Her international experience includes a tenure as a Postdoctoral Researcher at Nottingham Trent University, UK (2015–2017), focusing on emotion recognition and sensor data analysis. Currently, she is an Associate Professor and Vice Dean for Community Service and Environmental Development at Minia University. Dr. Younis also chaired the Information Systems Department (2019–2021), demonstrating her leadership in academic administration. She supervises numerous master’s and Ph.D. students, fostering innovation in fields such as machine learning and GIS. Her career reflects a commitment to interdisciplinary research, academic excellence, and community engagement.

Awards and Honors

Dr. Eman M.G. Younis has been recognized for her contributions to research and academia through numerous awards and honors. She was awarded scholarships for her postgraduate studies, including funding for her Ph.D. at Cardiff University. Her innovative research in GIS, semantic web technologies, and data science has earned her accolades at international conferences. Dr. Younis has also been acknowledged for her leadership and service as Vice Dean at Minia University. Her work on real-time machine learning applications for healthcare and environmental systems has received critical acclaim. Additionally, she has contributed to collaborative international research projects, showcasing her ability to address complex, interdisciplinary challenges. These accolades underscore her dedication to advancing knowledge, mentoring students, and applying technology for societal benefit.

Research Interests:

Dr. Eman M.G. Younis’s research focuses on Geographic Information Systems (GIS), Data Mining, Semantic Web, and Artificial Intelligence. Her interdisciplinary interests include geospatial query processing, social media mining, and emotion recognition using sensor data fusion. She explores innovative applications of machine learning and deep learning in fields such as healthcare, urban planning, and environmental monitoring. Dr. Younis is also interested in hybrid online-offline learning systems, big data analytics, and real-time predictions for critical systems like healthcare and disaster management. Her work bridges theoretical advancements and practical implementations, aiming to address pressing global challenges. She integrates cutting-edge technologies like distributed machine learning and streaming systems to enhance the accuracy and efficiency of predictive models. Her ongoing projects include emotion recognition through multimodal sensor data and the application of AI in geospatial data analysis.

📚 Publications

- Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection
  Authors: E. Kanjo, E.M.G. Younis, C.S. Ang
  Citations: 303
  Year: 2019
- Sentiment analysis and text mining for social media microblogs using open source tools: an empirical study
  Authors: E.M.G. Younis
  Citations: 174
  Year: 2015
- Heart disease identification from patients’ social posts, machine learning solution on Spark
  Authors: H. Ahmed, E.M.G. Younis, A. Hendawi, A.A. Ali
  Citations: 164
  Year: 2020
- Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
  Authors: E. Kanjo, E.M.G. Younis, N. Sherkat
  Citations: 121
  Year: 2018
- An efficient Manta Ray Foraging Optimization algorithm for parameter extraction of three-diode photovoltaic model
  Authors: E.H. Houssein, G.N. Zaki, A.A.Z. Diab, E.M.G. Younis
  Citations: 93
  Year: 2021
- Predicting Coronavirus Pandemic in Real‐Time Using Machine Learning and Big Data Streaming System
  Authors: X. Zhang, H. Saleh, E.M.G. Younis, R. Sahal, A.A. Ali
  Citations: 64
  Year: 2020
- NeuroPlace: Categorizing urban places according to mental states
  Authors: E.M.G. Younis, L. Al-Barrak, E. Kanjo
  Citations: 64
  Year: 2017
- Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data
  Authors: E.H. Houssein, M.E. Hosney, W.M. Mohamed, A.A. Ali, E.M.G. Younis
  Citations: 40
  Year: 2023
- Hybrid geo-spatial query methods on the Semantic Web with a spatially-enhanced index of DBpedia
  Authors: E.M.G. Younis, C.B. Jones, V. Tanasescu, A.I. Abdelmoty
  Citations: 35
  Year: 2012
- Comparing automated and non‐automated machine learning for autism spectrum disorders classification using facial images
  Authors: B.R.G. Elshoky, E.M.G. Younis, A.A. Ali, O.A.S. Ibrahim
  Citations: 33
  Year: 2022
- Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science
  Authors: E.M.G. Younis, E.K.A. Chamberlain
  Citations: 32
  Year: 2019
- Evaluating ensemble learning methods for multi-modal emotion recognition using sensor data fusion
  Authors: E.M.G. Younis, S.M. Zaki, E. Kanjo, E.H. Houssein
  Citations: 29
  Year: 2022
- Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model
  Authors: O.A.S. Ibrahim, E.M.G. Younis
  Citations: 24
  Year: 2022

Conclusion

Dr. Eman M.G. Younis is an outstanding candidate for the Best Researcher Award. Her groundbreaking contributions to the fields of informatics, GIS, and machine learning, coupled with her leadership roles, technical expertise, and commitment to advancing science, make her a highly deserving nominee. With further strategic collaborations and public engagement, her already stellar impact could be further enhanced.

Assefa Mengesha | pharmacology | Best Researcher Award

Published on 21/12/202421/12/2024 by Cognitive Scientist Awards

Mr. Assefa Mengesha | pharmacology | Best Researcher Award

Lecturer at University of Gondar, College of Medicine and Health Sciences, Ethiopia.

Assefa Kebad Mengesha, a Lecturer in the Department of Pharmacology at the University of Gondar, has over a decade of experience in teaching and research. Holding an MSc in Pharmacology, he has made notable contributions to health-related research and education. Assefa has published 13 papers in indexed journals (Scopus, PubMed) and has been active in curriculum development and student mentorship. Despite limited involvement in consultancy, collaborations, and industry projects, his research has advanced knowledge in pharmacology, particularly in health-related disorders and education.

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