Nathalie Ehrlé | Social Cognition | Best Researcher Award

Dr. Nathalie Ehrlé | Social Cognition | Best Researcher Award 🏆

PhD at Reims hospital; Paris Cité university, France.

Dr. Nathalie Ehrlé is an accomplished neuropsychologist with a prolific academic and clinical career. Her expertise spans cognitive neuropsychology, clinical neuropsychology, and judicial neuropsychology. Dr. Ehrlé’s academic qualifications include a Ph.D. in Cognitive Neuropsychology, a DESS in Clinical Neuropsychology, a habilitation to supervise research, and a diploma in judicial expertise. Professionally, she specializes in multiple sclerosis (MS), epilepsy surgery, and brain tumor cases. She has significantly contributed to the development of neuropsychological units and is an active researcher affiliated with MC2Lab at Université de Paris Cité.

Profile

Scopus

Orcid

Education 🎓:

Dr. Ehrlé completed her Ph.D. in Cognitive Neuropsychology in 1998, followed by a DESS in Clinical Neuropsychology from Chambéry in 1999. She earned her Habilitation to Direct Research (HDR) in 2014, demonstrating her capacity to lead scientific research. In 2017, she obtained a University Diploma in Judicial Expertise, enhancing her qualifications as a court-appointed expert neuropsychologist for the Reims Court of Appeal and insurance companies.

Work Experience 💼:

With a specialization in multiple sclerosis, epilepsy surgery, and brain tumors, Dr. Ehrlé has been instrumental in establishing and developing the neuropsychology unit within the neurology department at Reims Hospital. She supervises students across various academic levels, from undergraduate to doctoral studies, and actively participates in pharmaceutical protocols, scientific project management, and article reviews.

Awards and Honors

While specific awards and honors are not detailed in the provided information, Dr. Ehrlé’s extensive publication record and her roles in clinical and academic settings underscore her recognition and respect within the neuropsychology community.

Research Interests:

Dr. Ehrlé’s research centers on cognitive functions in neurological disorders, with a particular emphasis on social cognition and humor processing in multiple sclerosis patients. Her work includes longitudinal neuropsychological studies and the development of virtual environments to assess moral cognition and related social-cognitive processes.

📚 Publications 

Happy Facial Emotional Congruence in Patients with Relapsing-Remitting Multiple Sclerosis

Authors: P. Gury, M. Moulin, R. Laroye, … P. Narme, N. Ehrlé

Journal: Journal of Clinical and Experimental Neuropsychology, 2024, 46(7), pp. 644–654

Citations: 0

Year: 2024

Multidimensional Assessment of Social Cognition Using Non-Immersive Virtual Reality in Dementia with Lewy Bodies and Alzheimer’s Disease: An Exploratory Study

Authors: E.-F. Msika, M. Verny, B. Dieudonné, … P. Piolino, P. Narme

Journal: Journal of Clinical and Experimental Neuropsychology, 2024, 46(5), pp. 488–503

Citations: 0

Year: 2024

Explicit and Implicit Abilities in Humor Processing in Patients with Relapsing-Remitting Multiple Sclerosis

Authors: P. Gury, M. Moulin, R. Laroye, … P. Narme, N. Ehrlé

Journal: Social Neuroscience, 2024, 19(1), pp. 1–13

Citations: 1

Year: 2024

Facial Emotional Congruence in Healthy Adults and Patients Suffering From a Psychiatric or Neurological Disorder

Authors: P. Gury, P. Narme, A. Tommasi, N. Ehrlé

Journal: Canadian Journal of Experimental Psychology, 2023, 78(1), pp. 17–35

Citations: 2

Year: 2023

Using a Virtual Environment to Assess Moral Cognition and Underlying Social-Cognitive Processes: Two Case Studies

Authors: E.-F. Msika, N. Ehrlé, A. Gaston-Bellegarde, … P. Piolino, P. Narme

Journal: Revue Europeenne de Psychologie Appliquee, 2023, 73(4), 100849

Citations: 1

Year: 2023

“I Have to Translate the Colors”: Description and Implications of a Genuine Case of Phoneme Color Synaesthesia

Authors: L. Bouvet, C. Magnen, C. Bled, J. Tardieu, N. Ehrlé

Journal: Consciousness and Cognition, 2023, 111, 103509

Citations: 2

Year: 2023

Updating the Cognitive Model of Humour Perception: A Potential Implicit Processing Pathway?

Authors: P. Gury, J. Petit, V. Roussel, P. Narme, N. Ehrlé

Journal: Cognition and Emotion, 2023, 37(5), pp. 1014–1022

Citations: 2

Year: 2023

Using a Computer-Based Virtual Environment to Assess Social Cognition in Aging: An Exploratory Study of the REALSoCog Task

Authors: E.-F. Msika, N. Ehrlé, A. Gaston-Bellegarde, … P. Piolino, P. Narme

Journal: Frontiers in Psychology, 2022, 13, 882165

Citations: 7

Year: 2022

Assessment of the Processes Involved in Cognitive Autonomy in Patients Suffering from Brain Lesions with Degenerative Pathologies or Non-Progressive Acquired Lesions

Authors: P. Gury, M.-M. Billot, C. Galy, … S. Bakchine, N. Ehrlé

Journal: Canadian Journal of Behavioural Science, 2022, 54(4), pp. 315–332

Citations: 0

Year: 2022

Validation of the French Version of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS)

Authors: N. Maubeuge, M.S.A. Deloire, B. Brochet, … A. Saubusse, A. Ruet

Journal: Multiple Sclerosis and Related Disorders, 2021, 48, 102692

Citations: 7

Year: 2021

Conclusion 

Dr. Nathalie Ehrlé stands as a strong candidate for the Best Researcher Award. Her significant contributions to understanding and managing cognitive and social impairments in neurological disorders, coupled with her commitment to clinical practice and mentorship, underline her suitability for this recognition. While opportunities for greater interdisciplinary work and public engagement exist, her achievements in neuropsychology are both impactful and inspiring. Awarding her would celebrate her extensive contributions and encourage further groundbreaking work in the field.

 

 

Harender Kumar | Neuroscience | Best Researcher Award

Dr. Harender Kumar | Neuroscience | Best Researcher Award 🏆

Research Scholar at Panjab University Chandigarh, India.

Harender Kumar, a Research Scholar at Panjab University, Chandigarh, specializes in behavioral neuroscience. His work primarily focuses on investigating the relationship between diet, gut health, and stress resilience using zebrafish as a model organism. Kumar has published three notable journal articles in SCI/Scopus-indexed journals, with impactful contributions to neuroscience and chemistry. His research demonstrates a promising ability to bridge fundamental science with potential real-world applications.

Profile

Scopus

Education 🎓:

Harender Kumar is pursuing his Ph.D. at Panjab University, Chandigarh, focusing on behavioral neuroscience. His academic journey reflects his dedication to understanding the complex interplay between biological systems and mental health. Harender’s educational background has provided a strong foundation in neuroscience, biology, and chemistry, enabling him to engage in cutting-edge research. At Panjab University, he has honed his expertise in experimental design, data analysis, and interdisciplinary collaboration, contributing significantly to his academic and professional growth. Through his education, Harender has developed a keen interest in the gut-brain axis, stress mechanisms, and the therapeutic potential of dietary interventions, preparing him for a promising career in research and innovation.

Work Experience 💼:

Harender Kumar has significant experience in behavioral neuroscience research, with a focus on gut-brain interactions and stress resilience. As a Research Scholar at Panjab University, he has conducted innovative studies using zebrafish models, exploring how dietary components influence mental health. Harender has collaborated with experts in chemistry to address diverse scientific challenges, such as detecting chemical agents and understanding synaptic remodeling. His hands-on expertise includes experimental planning, animal model studies, and data interpretation, which have resulted in publications in SCI/Scopus-indexed journals. Harender’s multidisciplinary experience reflects his ability to navigate complex scientific questions and contribute meaningfully to neuroscience and beyond.

Awards and Honors

Though specific awards and honors are not mentioned in the profile, Harender Kumar’s accomplishments in publishing high-quality research in reputable journals demonstrate academic recognition. His work has contributed to advancing behavioral neuroscience and interdisciplinary science. Securing awards such as research grants, best paper accolades, or conference presentations would further highlight his achievements and scholarly impact.

Research Interests:

Harender Kumar’s research centers on behavioral neuroscience, with an emphasis on understanding the gut-brain axis and its role in stress resilience. Using zebrafish as a model organism, he investigates the link between dietary factors and mental well-being, providing insights into potential therapeutic strategies. His multidisciplinary work integrates neuroscience, physiology, and chemistry, addressing critical issues such as synaptic remodeling and the stress-resilient effects of dietary interventions. Harender’s innovative approach has contributed to a deeper understanding of mental health challenges and opened avenues for novel dietary strategies to enhance emotional resilience.

📚 Publications 

Stress-resilient Effect of Spirulina platensis on Zebrafish Chronic Unpredictable Stress Model

Authors: Kumar, H., Kaur, K., Kaur, R.

Journal: Physiology & Behavior

Year: 2024

Citations: 0

Role of Spirulina in Structural Remodeling of Synapse in Telencephalon of Chronic Unpredictable Stress Model of Zebrafish

Authors: Kumar, H., Garg, V., Kaur, K., Kaur, R.

Journal: Annals of Neurosciences

Year: 2023

Citations: 0

Synthesis of a Trinuclear Zinc(II) Cluster Composed of [4.4.3.01,5]Tridecane Cages: A Rapid Detection and Degradation Probe for the Chemical Warfare Agent Simulant Diethyl Cyanophosphonate in Protein-rich Food Products

Authors: Thakur, S., Rohilla, J., Kumar, K., Kumar, H., Singh, R., Kaur, V., Kamboj, R.

Journal: Analyst

Year: 2023

Citations: 4

Conclusion 

Harender Kumar exhibits strong potential as a researcher in behavioral neuroscience, with impactful publications and an innovative focus on the gut-brain axis. While his current portfolio demonstrates high-quality research and interdisciplinary collaboration, there is room to enhance his profile by securing funded projects, expanding his professional engagement, and increasing the impact of his work through broader dissemination and applications. Overall, Harender is a commendable candidate for the Best Researcher Award, particularly for early-career recognition.

 

 

Jing Liu | Connectomics | Best Researcher Award

Dr. Jing Liu | Connectomics | Best Researcher Award 🏆

Assistant Professor at Institute of Automation, Chinese Academy of Sciences, China

Dr. Jing Liu is an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences, specializing in connectomics and volume electron microscopy. He earned his Ph.D. in Pattern Recognition and Intelligence Systems from the University of Chinese Academy of Sciences (2016-2022) and a Bachelor’s degree in Computer Science and Technology from Northwestern Polytechnical University (2012-2016). Dr. Liu’s research focuses on the automatic reconstruction of synapses using deep learning algorithms. He has published over 20 peer-reviewed papers in high-impact journals and collaborated with leading researchers on brain connectome studies. His work integrates artificial intelligence with neuroscience to enhance understanding of brain connectivity at the nanoscale.

Profile

Scopus

Education 🎓:

Dr. Jing Liu completed his academic journey with a Ph.D. in Pattern Recognition and Intelligence Systems from the University of Chinese Academy of Sciences, where he studied from September 2016 to January 2022. Prior to his doctoral studies, he earned his Bachelor’s degree in Computer Science and Technology from Northwestern Polytechnical University, graduating in July 2016. Dr. Liu’s educational background reflects a strong foundation in both computer science and neuroscience, positioning him as an expert in applying artificial intelligence to brain research and connectomics.

Work Experience 💼:

Dr. Jing Liu currently serves as an Assistant Professor at the Institute of Automation, Chinese Academy of Sciences, a position he has held since February 2022. In this role, he works at the Laboratory of Brain Atlas and Brain-inspired Intelligence, focusing on advanced research in connectomics and volume electron microscopy. Prior to this, he completed his doctoral studies at the University of Chinese Academy of Sciences, where he developed deep learning-based algorithms for synapse reconstruction and analysis at the nanoscale. Dr. Liu has collaborated with renowned researchers, including Professor Peace Cheng at Peking University, on major connectomic projects. His expertise lies at the intersection of artificial intelligence and neuroscience, making significant contributions to understanding brain connectivity.

Research Interests:

Dr. Jing Liu’s research interests lie at the intersection of artificial intelligence and neuroscience, with a focus on connectomics and volume electron microscopy. He is particularly interested in developing deep learning-based algorithms for the automatic reconstruction of synapses at the nanoscale, aiming to enhance the understanding of brain connectivity. His work includes synapse organization analysis in the mouse auditory cortex and cochlea, as well as exploring the computational techniques for analyzing large-scale neural networks. Dr. Liu is dedicated to advancing the field of brain-inspired intelligence through innovative methods in image segmentation, 3D reconstruction, and neural network modeling.

📚 Publications 

  1. A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images
    • Authors: Liu, J., Hong, B., Xiao, C., … Xie, Q., Han, H.
    • Journal: Expert Systems with Applications, 2024, 255, 124562
  2. Spatial patterns of noise-induced inner hair cell ribbon loss in the mouse mid-cochlea
    • Authors: Lu, Y., Liu, J., Li, B., … Hua, Y.
    • Journal: iScience, 2024, 27(2), 108825
    • Citations: 3
  3. SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model
    • Authors: Zhang, Y., Guo, J., Zhai, H., Liu, J., Han, H.
    • Conference: Lecture Notes in Computer Science, 2024, 15008 LNCS, pp. 589–600
  4. An intelligent workflow for sub-nanoscale 3D reconstruction of intact synapses from serial section electron tomography
    • Authors: Chang, S., Li, L., Hong, B., … Chen, X.
    • Journal: BMC Biology, 2023, 21(1), 198
    • Citations: 2
  5. Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes
    • Authors: Hong, B., Liu, J., Shen, L., … Emrouznejad, A.
    • Journal: Expert Systems with Applications, 2023, 222, 119776
    • Citations: 5
  6. Intra-and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics
    • Authors: Zhai, H., Liu, J., Hong, B., … Han, H.
    • Conference: Proceedings of Machine Learning Research, 2023, 227, pp. 1691–1712
  7. Planar to Spatial: a Synapse Reconstruction Method to Rebuild Voxel Connections for Anisotropic Serial EM Images
    • Authors: Guo, J., Liu, J., Hong, B., … Xu, Y., Han, H.
    • Conference: Proceedings – International Symposium on Biomedical Imaging, 2023, 2023-April
  8. Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes
    • Authors: Hong, B., Liu, J., Zhai, H., … Xie, Q., Han, H.
    • Journal: BMC Bioinformatics, 2022, 23(1), 453
    • Citations: 2
  9. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data
    • Authors: Liu, J., Qi, J., Chen, X., … Yang, Y.
    • Journal: Cell Reports, 2022, 40(5), 111151
    • Citations: 8
  10. Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics
  • Authors: Xiao, C., Hong, B., Liu, J., … Xie, Q., Han, H.
  • Journal: Computer Methods and Programs in Biomedicine, 2022, 219, 106759
  • Citations: 5

Conclusion 

Dr. Liu’s extensive research experience, coupled with his cutting-edge contributions to neuroscience and artificial intelligence, makes him a highly deserving candidate for the Best Researcher Award. His work not only enriches scientific understanding but also pushes the boundaries of what is possible in brain imaging and connectomics.

 

 

Xiaoyu Niu | Neurodevelopmental | Best Researcher Award

Ms. Xiaoyu Niu | Neurodevelopmental | Best Researcher Award   🏆

Ph.D. Candidate and Radiologist at First Affiliated Hospital of Zhengzhou University, China

Ms. Xiaoyu Niu is a Ph.D. candidate in Radiological Imaging at West China School of Medicine, Sichuan University, and a radiologist affiliated with prestigious medical institutions in China. She earned her Master’s degree in Radiology from the Magnetic Resonance Department at the First Affiliated Hospital of Zhengzhou University. A licensed medical professional, Ms. Niu specializes in neuroimaging and MRI diagnostics, focusing on unraveling the neurobiological underpinnings of neuropsychiatric disorders. With 21 SCI-indexed publications, 2 national patents, 6 key research projects, and multiple scholarships, she is a dedicated researcher committed to advancing patient care and clinical outcomes through innovative imaging solutions.

Profile

Scopus

ORCID

Education 🎓:

Ms. Xiaoyu Niu holds a Master’s degree in Radiology from the Magnetic Resonance Department at the First Affiliated Hospital of Zhengzhou University, located in Henan Province, China. She is currently pursuing her Ph.D. in Radiological Imaging at West China School of Medicine, Sichuan University, in Chengdu, Sichuan Province. Her academic journey reflects a strong foundation in medical imaging and diagnostics, with a focus on neuroimaging and MRI technology. Her educational background has equipped her with the expertise to conduct advanced research in neuropsychiatric disorders, contributing significantly to the understanding of their underlying neuropathology.

Work Experience 💼:

Ms. Xiaoyu Niu has extensive experience in radiological imaging and medical diagnostics. She has worked in prominent institutions, including the Department of Radiology at West China Second University Hospital and the Department of Magnetic Resonance at the First Affiliated Hospital of Zhengzhou University. Her professional expertise lies in advanced MRI diagnostics and multimodal neuroimaging techniques. Over the course of her career, she has actively participated in six key research projects, showcasing her ability to collaborate on groundbreaking studies. Her contributions to the field extend to publishing 21 SCI-indexed papers and presenting her research at international conferences such as ISMRM 2023.

Awards and Honors 🏆

Ms. Xiaoyu Niu has received several prestigious awards and honors in recognition of her academic excellence and research contributions. She has been awarded three national scholarships for her outstanding performance in radiological imaging and research. Additionally, her innovative work has earned her two national copyright patents, highlighting her ability to translate research into impactful applications. These accolades underscore her dedication to advancing the field of neuroimaging and her commitment to achieving excellence in both academic and professional domains.

Research Interests:

Ms. Xiaoyu Niu’s research interests focus on the application of multimodal neuroimaging techniques to study neuropsychiatric disorders. Her work aims to uncover the complex neurobiological mechanisms underlying these conditions, with a particular emphasis on identifying potential therapeutic targets. By leveraging advanced MRI technology and neuroimaging diagnostics, she seeks to contribute to a deeper understanding of neuropathology, improve patient care, and optimize clinical outcomes. Her dedication to exploring innovative approaches in brain imaging reflects her commitment to advancing both scientific knowledge and healthcare solutions in the field of radiology.

📚 Publications 

Alternations voxel-wise interhemispheric and intrahemipheric functional connectivity dynamics in internet gaming disorder

  • Authors: Ma, L., Zhang, M., Niu, X., Cheng, J., Zhang, Y.
  • Journal: Journal of Affective Disorders
  • Volume: 369, pp. 662–670
  • Year: 2025
  • Citations: 0

Functional connectivity changes in males with nicotine addiction: A triple network model study

  • Authors: Sun, J., Huang, H., Dang, J., Cheng, J., Zhang, Y.
  • Journal: Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • Volume: 136, 111187
  • Year: 2025
  • Citations: 0

Abnormal Granger causal connectivity based on altered gray matter volume and associated neurotransmitters of adolescents with internet gaming disorder revealed by a multimodal neuroimaging study

  • Authors: Niu, X., Zhang, M., Gao, X., Cheng, J., Zhang, Y.
  • Journal: Developmental Cognitive Neuroscience
  • Volume: 70, 101472
  • Year: 2024
  • Citations: 0

Mapping brain activity and neurotransmitters pre-cigarette smoking evolution: A study of male subjects

  • Authors: Sun, J., Zhang, M., Dang, J., Cheng, J., Zhang, Y.
  • Journal: Journal of Psychiatric Research
  • Volume: 180, pp. 39–46
  • Year: 2024
  • Citations: 0

Altered functional connectivity within the primary visual networks and neurotransmitter activity in male smokers: A group ICA study

  • Authors: Sun, J., Dang, J., Zhang, M., Cheng, J., Zhang, Y.
  • Journal: Brain Research Bulletin
  • Volume: 218, 111098
  • Year: 2024
  • Citations: 0

Abnormalities in static and dynamic intrinsic neural activity and neurotransmitters in first-episode OCD

  • Authors: Tao, Q., Dang, J., Guo, H., Han, S., Zhang, Y.
  • Journal: Journal of Affective Disorders
  • Volume: 363, pp. 609–618
  • Year: 2024
  • Citations: 0

Altered local intrinsic neural activity and molecular architecture in internet use disorders

Authors: Ma, L., Tao, Q., Dang, J., Han, S., Zhang, Y.

  • Journal: Brain Research Bulletin
  • Volume: 216, 111052
  • Year: 2024
  • Citations: 0

Meta-analysis of structural and functional abnormalities in behavioral addictions

  • Authors: Mei, B., Tao, Q., Dang, J., Zhang, Y., Cheng, J.
  • Journal: Addictive Behaviors
  • Volume: 157, 108088
  • Year: 2024
  • Citations: 0

Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach

  • Authors: Tao, Q., Wang, K., Wen, B., Zhang, Y., Cheng, J.
  • Journal: European Spine Journal
  • Volume: 33(8), pp. 2982–2996
  • Year: 2024
  • Citations: 1

Analysis of the interactive effects between smoking addiction and overweight on brain gray matter volume

  • Authors: Zhang, M., Niu, X., Dang, J., Cheng, J., Zhang, Y.
  • Journal: Chinese Journal of Psychiatry
  • Volume: 57(7), pp. 433–439
  • Year: 2024
  • Citations: 0

Conclusion 

Given her exemplary academic credentials, research excellence, and meaningful contributions to the field of radiological imaging, Ms. Xiaoyu Niu is highly deserving of the Research for Best Researcher Award. Her work not only demonstrates scientific rigor but also has practical implications for improving healthcare outcomes.

 

 

SAGAR K G | Residual Stresses | Best Researcher Award

Assist. Prof. Dr. SAGAR K G | Residual Stresses | Best Researcher Award   🏆

Assistant Professor at Jain Deemed to be University, India

Assist. Prof. Dr. Sagar K.G. is an accomplished academic and researcher in the field of Mechanical Engineering. He is currently serving as an Assistant Professor at the Cambridge Institute of Technology, Bangalore, since 2015, and previously held a similar position at Sambhram Institute of Technology, Bengaluru. Dr. Sagar holds a Ph.D. in Mechanical Engineering from VTU Belagavi, with a focus on particulate reinforced aluminum alloy and severe plastic deformation. He also completed his M-Tech in Machine Design and B.E. in Mechanical Engineering from Bangalore Institute of Technology and SJMIT College of Engineering, respectively. His research interests span areas such as Metal Matrix Composites, Finite Element Methods, Powder Metallurgy, Robotics, Data Analytics, and 3D Printing Materials. In addition to his academic work, Dr. Sagar has contributed to several national conferences, guided numerous student projects, and published research on advanced material characterization. He has also completed various professional development courses, including Lean Six Sigma Black Belt and NDT Level II, showcasing his commitment to both academic and industry advancements.

Profile

Scopus

Google Scholar

ORCID

Education 🎓:

Assist. Prof. Dr. Sagar K.G. holds a Ph.D. in Mechanical Engineering from VTU Belagavi, awarded in 2022. His doctoral research focused on the “Study on Mechanical and Wear Characterization of Particulate Reinforced Aluminum Alloy Subjected to Severe Plastic Deformation.” Prior to his Ph.D., he completed his M-Tech in Machine Design from Bangalore Institute of Technology (BIT), Bengaluru, in 2011, achieving First Class. His M-Tech thesis was titled “Numerical Simulation of Powder Compaction Processes Considering Material and Geometrical Nonlinearity.” Dr. Sagar earned his B.E. in Mechanical Engineering from SJMIT College of Engineering, Chitradurga, affiliated to Visvesvaraya Technological University (VTU), Belagavi, in 2007. His undergraduate project was on Engine Management Systems. Additionally, Dr. Sagar has pursued several professional courses, including Lean Six Sigma Black Belt, NDT Level II in Penetrant Testing and Magnetic Particle Testing, and is currently learning Data Science and Data Analytics from Excel R, further enhancing his knowledge and skills in emerging technologies.

Work Experience 💼:

Assist. Prof. Dr. Sagar K.G. has over a decade of experience in academia, specializing in Mechanical Engineering. He has been working as an Assistant Professor in the Department of Mechanical Engineering at the Cambridge Institute of Technology, Bangalore, since July 2015. Prior to this, he served as an Assistant Professor at the Sambhram Institute of Technology (SaIT), Bengaluru, from August 2013 to July 2015. Throughout his career, Dr. Sagar has been actively involved in teaching a wide range of undergraduate courses, including Mechanics of Materials, Manufacturing Processes, Finite Element Methods, Design of Machine Elements, and Mechanical Vibrations. His expertise extends to guiding undergraduate and M-Tech students, with 24 batches of B.E. students and 4 batches of M-Tech students under his mentorship. Dr. Sagar has also contributed to the development of several student projects, including innovative designs such as the Go-Kart, Hovercraft, and 3D-Printing Chocolate Printing Machine, showcasing his hands-on approach to teaching and research. He has been instrumental in enhancing the learning experience for students through his active involvement in conferences, workshops, and faculty development programs.

Awards and Honors 🏆

Assist. Prof. Dr. Sagar K.G. has received several accolades for his outstanding contributions to academia and research. He was honored with the Lean Six Sigma Black Belt Certification, having successfully completed two major projects, including one focused on attrition rates in MNCs. Dr. Sagar also holds an NDT Level II certification in Penetrant Testing and Magnetic Particle Testing from Trinity NDT, further demonstrating his expertise in material testing and non-destructive evaluation. In addition, he completed a Design Thinking Course from NIQC in 2021, reflecting his commitment to innovative problem-solving approaches. His dedication to academic excellence is also evident through his active participation in faculty development programs and various national conferences, where he has been recognized for his contributions to Mechanical Engineering education and research. These awards and honors are a testament to his ongoing commitment to advancing both his field and his students’ academic and professional growth.

Research Interests:

Assist. Prof. Dr. Sagar K.G.’s research interests lie at the intersection of advanced materials and mechanical engineering, with a particular focus on Metal Matrix Composites, Finite Element Methods, and Powder Metallurgy. His work delves into the study of Severe Plastic Deformation processes, exploring how these techniques can enhance the mechanical properties of materials. Dr. Sagar is also passionate about Graphene-Based Projects, which investigate the potential of graphene as a reinforcement material for various applications. Additionally, his research extends into Robotics, Data Analytics, and Data Science, where he seeks to integrate cutting-edge computational methods to optimize engineering processes. Dr. Sagar’s involvement in 3D Printing Materials underscores his commitment to exploring innovative fabrication techniques that have wide-ranging implications for manufacturing and design. Through his interdisciplinary approach, he continues to contribute to the advancement of materials science and engineering technologies.

📚 Publications 

  • Improving sustainability of EDM sector by implementing unconventional competitive manufacturing approach
    • Authors: KG Sagar, PK Anjani, MS Raman, NL Devi, K Mehta, JLA Gonzales, …
    • Journal: Advances in Materials Science and Engineering
    • Volume: 2022(1), 6164599
    • Citations: 13
    • Year: 2022
  • Effect of Beryl Reinforcement in Aluminum 2024 on Mechanical Properties
    • Authors: KG Sagar, PM Suresh, JR Nataraj
    • Journal: Journal of The Institution of Engineers (India): Series C
    • Pages: 1-10
    • Citations: 11
    • Year: 2020
  • Wear behavior of aluminum alloy reinforced with beryl metal matrix composites using Taguchi method
    • Authors: PM Suresh, R Suresh
    • Journal: Materials Today: Proceedings
    • Volume: 5(11), 24497-24504
    • Citations: 9
    • Year: 2018
  • Analysis of wear behavior and shear properties of nano–ZnO2/jute fiber/epoxy composites by Hand layup technique
    • Authors: KG Sagar, K Ramachandran, K Kosanam, BMR Bharathi, M Rama, …
    • Journal: Materials Today: Proceedings
    • Volume: 69, 1274-1279
    • Citations: 8
    • Year: 2022
  • Addition of beryl content to aluminum 2024 alloy influencing the slide wear and friction characteristics
    • Authors: KG Sagar, PM Suresh, P Sampathkumaran
    • Journal: Journal of The Institution of Engineers (India): Series C
    • Volume: 102(1), 27-39
    • Citations: 7
    • Year: 2021
  • Tribological studies on aluminum beryl composites subjected to ECAP process
    • Authors: KG Sagar, PM Suresh, P Sampathkumaran
    • Journal: Wear
    • Volume: 523, 204775
    • Citations: 4
    • Year: 2023

Conclusion 

With a strong academic background, a diverse range of research interests, and significant contributions to both teaching and practical applications, Assist. Prof. Dr. Sagar K.G. is a highly deserving candidate for the Best Researcher Award. His expertise in materials science, mechanical engineering, and data analytics, combined with his commitment to academic excellence and innovation, make him a standout figure in his field.

 

 

Jean-Pol R.A.G. Beauthier | Forensic Anthropology | Best Researcher Award

Prof. Dr. Jean-Pol R.A.G. Beauthier | Forensic Anthropology | Best Researcher Award  🏆

Academic Research at Université Libre de Bruxelles, Belgium.

Prof. Dr. Jean-Pol R.A.G. Beauthier is a distinguished forensic expert with an MD from UCLouvain and a PhD in Medical Sciences from Université libre de Bruxelles (ULB). He holds licenses in forensic medicine and injury assessment and is a C-FASE honoree (Forensic Anthropology Society of Europe). A former Honorary Lecturer in physiology and anatomy, he also served as Honorary Professor of Forensic Medicine at ULB. Dr. Beauthier has authored influential works, including the Treatise of Legal Medicine and Criminalistics (3rd Edition, 2022) and textbooks on palpatory anatomy. His research focuses on anatomy, forensic pathology, forensic anthropology, legal medicine, and victim identification in mass disasters. He is a reviewer for prestigious journals and serves on editorial boards, contributing extensively to advancing forensic science.

Profile

Scopus

Google Scholar

ORCID

Education 🎓:

Prof. Dr. Jean-Pol R.A.G. Beauthier holds prestigious degrees in medicine and forensic sciences. He earned his MD degree from UCLouvain and a PhD in Medical Sciences from Université libre de Bruxelles (ULB). He further obtained a License in Forensic Medicine from ULB and a License in Injury Assessment (Expertise) from ULiège. His credentials are further distinguished by the C-FASE honoris causa recognition from the Forensic Anthropology Society of Europe, underscoring his expertise in forensic anthropology at the highest level.

Work Experience 💼:

Dr. Beauthier has a remarkable career spanning academia and forensic practice. He has served as an Honorary Lecturer in Physiology, Physiopathology, and Human Anatomy and as an Honorary Professor of Forensic Medicine at ULB, Belgium. His association with the Forensic Medicine and Forensic Anthropology Unit at the Laboratory of Anatomy, Biomechanics, and Organogenesis (LABO) on the Erasmus Campus, ULB, demonstrates his active engagement in pioneering research and education. Additionally, he has extensive expertise in bodily injury assessment, forensic anthropology, and individual identification, contributing to global forensic advancements.

Awards and Honors 🏆

Prof. Dr. Jean-Pol R.A.G. Beauthier has been recognized for his outstanding contributions to forensic science and medicine. He was honored with the prestigious C-FASE certification honoris causa by the Forensic Anthropology Society of Europe, acknowledging his expertise at the highest independent expert level. In addition, his illustrious career includes appointments as an Honorary Lecturer in physiology, physiopathology, and human anatomy, as well as an Honorary Professor of Forensic Medicine at Université libre de Bruxelles (ULB). These accolades underscore his remarkable dedication to advancing forensic medicine and his influential role in the global scientific community.

Research Interests:

Dr. Beauthier’s research focuses on critical areas of forensic science, including anatomy, forensic pathology, forensic anthropology, and legal medicine. He is particularly passionate about the identification of victims in mass disasters, reflecting a unique combination of technical expertise and humanitarian impact. His work contributes to advancements in forensic methods and their practical applications in global scenarios.

📚 Publications 

Traité de médecine légale

  • Author: JP Beauthier
  • Publisher: De Boeck et Larcier
  • Citations: 123
  • Year: 2008

Mass disaster victim identification: The tsunami experience

  • Authors: JP Beauthier, E Valck, P Lefevre, JD Winne
  • Journal: The Open Forensic Science Journal
  • Volume: 2(1)
  • Citations: 61
  • Year: 2009

Traité d’anthropologie médico-légale

  • Authors: G Quatrehomme, JP Beauthier, P Lefevre, P Lefevre
  • Publisher: De Boeck
  • Citations: 53
  • Year: 2015

Palatine sutures as age indicator: A controlled study in the elderly

  • Authors: JP Beauthier, P Lefevre, M Meunier, R Orban, C Polet, JP Werquin, …
  • Journal: Journal of Forensic Sciences
  • Volume: 55(1)
  • Pages: 153–158
  • Citations: 51
  • Year: 2010

Traité d’anatomie: De la théorie à la pratique palpatoire

  • Authors: JP Beauthier, P Lefèvre
  • Publisher: De Boeck Supérieur
  • Citations: 46
  • Year: 1993

Physiologie du sport et de l’exercice: Adaptations physiologiques à l’exercice physique

  • Authors: JH Wilmore, DL Costill, A Delamarche, P Delamarche, JP Beauthier
  • Publisher: De Boeck
  • Citations: 22
  • Year: 2002

Belgium experience in disaster victim identification applied in handling terrorist attack at Brussels Airport 2016

  • Authors: F Beauthier, W Van de Voorde, P Lefevre, JP Beauthier
  • Journal: Forensic Sciences Research
  • Volume: 5(3)
  • Pages: 223–231
  • Citations: 19
  • Year: 2020

Conclusion 

Prof. Dr. Jean-Pol R.A.G. Beauthier’s distinguished qualifications, extensive research output, and contributions to the forensic sciences make him an outstanding candidate for the Best Researcher Award. His work has significantly advanced the fields of forensic pathology, anthropology, and legal medicine, demonstrating both academic excellence and practical impact in real-world scenarios. His global recognition and commitment to education further reinforce his suitability for this prestigious award.

 

 

Weiping Qin | Neuroscience | Best Researcher Award

Prof. Weiping Qin | Neuroscience | Best Researcher Award 🏆

Department of Medicine at The Icahn School of Medicine at Mount Sinai/James J. Peters VAMC, United States.

Dr. Weiping Qin, MD, Ph.D., is a seasoned researcher with extensive experience in molecular biology and spinal cord injury research. Currently serving as a Research Health Science Specialist at the James J. Peters VA Medical Center and a Professor of Medicine at the Icahn School of Medicine at Mount Sinai, Dr. Qin has contributed significantly to the fields of neurology, osteoporosis, and molecular endocrinology. With over 15 years of experience in the VA system, his work is recognized through patents, impactful publications, and professional affiliations.

Profile

Scopus

Google Scholar

Education 🎓:

Dr. Qin earned his MD from Fujian Medical University, China, and his PhD in Molecular Biology from Kanazawa University School of Medicine, Japan, under the mentorship of Dr. Seishi Murakami. His postdoctoral training in Psychiatry at Icahn School of Medicine, guided by Dr. Giulio M. Pasinetti, sharpened his focus on neurological mechanisms in chronic illnesses. This solid foundation paved the way for a career dedicated to bridging the gap between molecular research and clinical application. 🎓🔬🧬

Work Experience 💼:

Dr. Qin has held pivotal roles in academia and research. At James J. Peters VA Medical Center, he progressed from Research Health Science Specialist (Grade 13) to Grade 14, contributing to spinal cord injury and neuromuscular health advancements. Concurrently, he served as a faculty member at Mount Sinai, ascending from Assistant to full Professor. Dr. Qin’s global experience includes tenures in China, Japan, and the U.S., where he has driven interdisciplinary collaborations and secured federal research funding. His service also includes membership in VA and NIH review panels, shaping policies and evaluations. 🌍🛠️💡

Awards and Honors 🏆

Dr. Qin’s work has garnered recognition from prominent organizations, including the Military Health System Research Symposium Poster Award and the Sasagawa Medical Research Award. Media outlets like Reuters and The Wall Street Journal have covered his breakthroughs in bone disease treatment. Additionally, his research has been highlighted by the Department of Defense and NIH. These accolades underscore his innovative contributions to molecular and translational medicine. 🏅📰🎖️

Research Interests:

Dr. Qin’s research focuses on the cellular and molecular mechanisms underlying spinal cord injuries and associated neuromuscular disorders. His innovative work aims to develop pharmacological interventions targeting osteoporosis, bone regeneration, and neuroinflammation. Leveraging advanced molecular biology tools, he bridges experimental findings with clinical applications, significantly impacting rehabilitation medicine and patient care. 🔬🦴🧠

📚 Publications 

Diet‐induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer’s disease

Authors: L Ho, W Qin, PN Pompl, Z Xiang, J Wang, Z Zhao, Y Peng, G Cambareri, …

Citations: 775

Year: 2004

Neuronal SIRT1 activation as a novel mechanism underlying the prevention of Alzheimer disease amyloid neuropathology by calorie restriction

Authors: W Qin, T Yang, L Ho, Z Zhao, J Wang, L Chen, W Zhao, M Thiyagarajan, …

Citations: 759

Year: 2006

PGC-1α expression decreases in the Alzheimer disease brain as a function of dementia

Authors: W Qin, V Haroutunian, P Katsel, CP Cardozo, L Ho, JD Buxbaum, …

Citations: 439

Year: 2009

Caloric restriction attenuates β‐amyloid neuropathology in a mouse model of Alzheimer’s disease

Authors: J Wang, L Ho, W Qin, AB Rocher, I Seror, N Humala, K Maniar, G Dolios, …

Citations: 368

Year: 2005

RNA-dependent RNA polymerase activity of the soluble recombinant hepatitis C virus NS5B protein truncated at the C-terminal region

Authors: T Yamashita, S Kaneko, Y Shirota, W Qin, T Nomura, K Kobayashi, …

Citations: 334

Year: 1998

Hepatitis C virus (HCV) NS5A binds RNA-dependent RNA polymerase (RdRP) NS5B and modulates RNA-dependent RNA polymerase activity

Authors: Y Shirota, H Luo, W Qin, S Kaneko, T Yamashita, K Kobayashi, …

Citations: 325

Year: 2002

Myostatin inhibits osteoblastic differentiation by suppressing osteocyte-derived exosomal microRNA-218: A novel mechanism in muscle-bone communication

Authors: Y Qin, Y Peng, W Zhao, J Pan, H Ksiezak-Reding, C Cardozo, Y Wu, …

Citations: 276

Year: 2017

Bone and muscle loss after spinal cord injury: organ interactions

Authors: W Qin, WA Bauman, C Cardozo

Citations: 224

Year: 2010

Calorie restriction attenuates Alzheimer’s disease type brain amyloidosis in Squirrel monkeys (Saimiri sciureus)

Authors: W Qin, M Chachich, M Lane, G Roth, M Bryant, R De Cabo, MA Ottinger, …

Citations: 222

Year: 2006

A therapeutic role for cyclooxygenase‐2 inhibitors in a transgenic mouse model of amyotrophic lateral sclerosis

Authors: PN Pompl, L Ho, M Bianchi, T McManus, W Qin, GM Pasinetti

Citations: 178

Year: 2003

Conclusion 

Dr. Weiping Qin exemplifies excellence in research, innovation, and service, making him a strong candidate for the Best Researcher Award. His groundbreaking work in spinal cord injury and molecular biology, coupled with his dedication to the VA system, positions him as a leader in his field. Addressing areas for improvement, such as collaboration and grant acquisition, could further enhance his impact. Nevertheless, his contributions already stand out as transformative and worthy of recognition.

 

 

Amir Hossein Zarifkar | Neuroscience | Best Researcher Award

Assist. Prof. Dr. Amir Hossein Zarifkar | Neuroscience | Best Researcher Award 🏆

Faculty member at Larestan University of Medical Sciences, Iran.

Dr. Amir Hossein Zarifkar is a dedicated researcher in the field of neurophysiology, specializing in Alzheimer’s disease models, memory impairment, and the effects of transcranial electrical stimulation. He holds a Ph.D. in Physiology, and his expertise includes stereotaxic surgery, cognitive testing, and advanced biochemical and histological techniques. His research contributions are evidenced by peer-reviewed publications, prestigious awards, and active participation in scientific conferences. As a teacher, he has guided students across multiple disciplines in physiology, further demonstrating his commitment to academia.

Profile

Scopus

Google Scholar

Education 🎓:

Dr. Zarifkar’s academic journey began with a B.Sc. in Biology from Shiraz University, Iran (2010), where he laid the foundation for his passion in life sciences. He pursued his M.Sc. in Physiology at Ahvaz University of Medical Sciences (2014), conducting a thesis on the protective effects of agmatine in memory impairment models. Building upon this expertise, Dr. Zarifkar earned a Ph.D. in Physiology from Shiraz University of Medical Sciences (2019). His doctoral research, titled “Investigating the effect of transcranial electrical stimulation (tES) paradigms on beta-amyloid-induced memory impairment and hippocampal CA1 structural changes in male rats,” received critical acclaim for its innovative approach to addressing Alzheimer’s disease. Throughout his education, Dr. Zarifkar consistently ranked among the top of his cohort, achieving first rank in the national Ph.D. entrance exam and being honored as a top student at Shiraz University of Medical Sciences.

Work Experience 💼:

Dr. Zarifkar has over a decade of experience in teaching, research, and experimental neurophysiology. As an educator, he delivers comprehensive courses in nervous system, kidney, gastrointestinal, and endocrine physiology to students in medicine, dentistry, pharmacy, and nursing. His hands-on laboratory sessions emphasize practical applications of physiology, fostering a deeper understanding among students. On the research front, Dr. Zarifkar specializes in Alzheimer’s disease, memory impairment, and innovative therapeutic approaches, utilizing advanced methodologies such as transcranial electrical stimulation, immunohistochemistry, and stereotaxic surgery. His expertise extends to conducting behavioral and cognitive experiments in animal models. Dr. Zarifkar’s findings have been presented at national and international conferences, enhancing the global understanding of neurodegenerative diseases. As a member of Iran’s National Elites Foundation, he actively contributes to academic and research communities, solidifying his role as a leader in the field of neurophysiology.

Awards and Honors 🏆

Dr. Zarifkar has received multiple awards and recognitions for his academic excellence and contributions to neuroscience. Notably, he ranked first in the national Ph.D. entrance exam in Physiology, demonstrating his exceptional knowledge in the field. During his M.Sc. and Ph.D. studies, he was honored as a top student at Shiraz University of Medical Sciences. His groundbreaking research on Alzheimer’s disease earned him accolades at national and international scientific conferences. Dr. Zarifkar is also a proud member of Iran’s National Elites Foundation, a prestigious acknowledgment of his academic and research achievements. His dedication to teaching and mentoring has further earned him the respect and admiration of his peers and students alike. These honors reflect Dr. Zarifkar’s unwavering commitment to advancing the field of physiology and contributing to the understanding and treatment of neurodegenerative disorders.

Research Interests:

Dr. Zarifkar’s research centers on understanding the mechanisms underlying neurodegenerative diseases, particularly Alzheimer’s disease, and developing innovative therapeutic strategies. His Ph.D. work investigated the effects of transcranial electrical stimulation (tES) on memory impairment and structural changes in the hippocampus, providing insights into non-invasive treatments for Alzheimer’s. Dr. Zarifkar’s expertise extends to studying the impact of neuroprotective agents like agmatine on cognitive functions and neural plasticity. He employs advanced methodologies, including behavioral and cognitive assessments in animal models, immunohistochemistry, Western blot analysis, and stereotaxic surgery, to unravel the complexities of memory impairment. His findings contribute to a better understanding of the pathophysiology of neurodegenerative disorders and pave the way for potential clinical applications. By bridging experimental neuroscience with translational research, Dr. Zarifkar aims to develop effective interventions for enhancing cognitive health and mitigating the effects of aging-related neurological conditions.

📚 Publications 

Agmatine protects against intracerebroventricular streptozotocin-induced water maze memory deficit, hippocampal apoptosis, and Akt/GSK3β signaling disruption

Authors: M. Moosavi, A.H. Zarifkar, Y. Farbood, M. Dianat, A. Sarkaki, R. Ghasemi

Citations: 46

Year: 2014

Treatment with edaravone improves the structure and functional changes in the hippocampus after chronic cerebral hypoperfusion in rats

Authors: G.H. Meftahi, M. Bayat, A.H. Zarifkar, S. Akbari, A.B. Haghighi, M. Naseh

Citations: 18

Year: 2021

Ameliorative effects of different transcranial electrical stimulation paradigms on the novel object recognition task in a rat model of Alzheimer disease

Authors: A.H. Zarifkar, A. Zarifkar, M. Nami, A. Rafati, H. Aligholi, F. Vafaee

Citations: 12

Year: 2019

Effect of recombinant insulin-like growth factor-2 injected into the hippocampus on memory impairment following hippocampal intracerebral hemorrhage in rats

Authors: F. Vafaee, A. Zarifkar, M. Emamghoreishi, M.R. Namavar, M. Shahpari

Citations: 10

Year: 2018

Interactive Effects of Swimming High-Intensity Interval Training and Resveratrol Supplementation Improve Mitochondrial Protein Levels in the Hippocampus of Aged Rats

Authors: M. Amirazodi, F. Daryanoosh, A. Mehrabi, A. Gaeini, M. Koushkie Jahromi

Citations: 6

Year: 2022

The Comparison of the Effects of Different Transcranial Electrical Stimulation (tES) Paradigms on Beta-Amyloid (Aβ 25–35)-Induced Memory Impairment upon Morris Water Maze Task

Authors: A.H. Zarifkar, A. Zarifkar, M. Nami, A. Rafati, H. Aligholi

Citations: 5

Year: 2018

Different paradigms of transcranial electrical stimulation improve motor function impairment and striatum tissue injuries in the collagenase-induced intracerebral hemorrhage model

Authors: A.R. Heidarzadegan, A. Zarifkar, N. Sotoudeh, M.R. Namavar, A.H. Zarifkar

Citations: 4

Year: 2022

The protective effect of agmatine against intracerebroventricular streptozotocin-induced memory impairment in male rats

Authors: Y. Farbood, A.H. Zarifkar, M. Dianat, A. Sarkaki, M. Moosavi

Citations: 1

Year: 2014

Resistance Training and Resveratrol Supplementation Improve Cancer Cachexia and Tumor Volume in Muscle Tissue of Male Mice Bearing Colon Cancer CT26 Cell Tumors

Authors: M. Samadi, F. Daryanoosh, Z. Mojtahedi, A. Samsamy Pour, H. Nobari

Citations: Not yet cited

Year: 2024

Alterations in FoxO3a, NF-κB, and MuRF1 Expression in the Soleus Muscle of Male Rats Following High-Intensity Interval Training and Detraining

Authors: S. Sheibani, F. Daryanoosh, A.H. Zarifkar

Citations: Not yet cited

Year: 2024

Different paradigms of transcranial electrical stimulation induce structural changes in the CA1 region of the hippocampus in a rat model of Alzheimer’s disease

Authors: A.H. Zarifkar, A. Zarifkar, S. Safaei

Citations: Not yet cited

Year: 2024

P62: Agmatine Protects Against Intracerebroventricular Streptozotocin-Induced Water Maze Memory Deficit, Hippocampal Apoptosis and Akt/GSK3β Signaling Disruption

Authors: M. Moosavi, A.H. Zarifkar, Y. Farbood, M. Dianat, A. Sarkaki, R. Ghasemi

Citations: Not listed

Year: 2018

Conclusion 

Dr. Amir Hossein Zarifkar demonstrates an exceptional commitment to advancing neurophysiology research and teaching. His strengths, including rigorous experimental skills, teaching proficiency, and recognized achievements, position him as a strong candidate for a Best Researcher Award. Addressing areas like international visibility, grant acquisition, and translational focus could further strengthen his profile. Overall, his impactful contributions to Alzheimer’s research and academic excellence make him a deserving nominee.

 

 

Ka-Huen Yip | Intellectual Disabilities | Best Researcher Award

Dr. Ka-Huen Yip | Intellectual Disabilities | Best Researcher Award  🏆

Associate Professor at Saint Francis University, Hong Kong

Dr. Ka-Huen Yip is a distinguished healthcare professional and academic leader with over three decades of experience in nursing, teaching, and research. She holds a Doctor of Health Science from The Hong Kong Polytechnic University (2018), a Master’s Degree in Primary Health Care from the University of Western Sydney (2001), and a Bachelor of Science in Health Studies from the University of the West Scotland (1998). Currently serving as an Associate Professor at Saint Francis University, Dr. Yip has held key roles at institutions such as Tung Wah College, St. Teresa’s Hospital, and the University of Hong Kong. Her expertise spans operating theatre nursing, staff development, and mentoring nursing students. Dr. Yip has contributed significantly to healthcare research, with impactful publications focusing on long-term care planning, rheumatoid arthritis management, and compassionate healthcare during COVID-19. Her dedication to nursing education and research excellence has earned her recognition, including keynote speaker invitations and roles on editorial boards. Dr. Yip’s work continues to shape the future of nursing practice and healthcare education globally.

Profile

Scopus

Orcid

Education 🎓:

Dr. Ka-Huen Yip has an impressive academic background that reflects her dedication to advancing healthcare education and research. She earned her Doctor of Health Science from The Hong Kong Polytechnic University in March 2018, showcasing her commitment to higher-level research and expertise in healthcare sciences. She holds a Master’s Degree in Primary Health Care from the University of Western Sydney, awarded in June 2001, which deepened her knowledge in community-based healthcare and patient management. Additionally, Dr. Yip completed her Bachelor of Science in Health Studies at the University of the West Scotland (formerly the University of Paisley) in August 1998, marking the foundation of her academic journey. Her extensive education has equipped her with the theoretical knowledge and research skills to excel as both a healthcare professional and an academic leader.

Work Experience 💼:

Dr. Ka-Huen Yip brings over 30 years of diverse experience in nursing, education, and healthcare leadership. Currently serving as an Associate Professor at Saint Francis University (since 2022), she previously held positions as an Assistant Professor in the School of Health Sciences (2018–2021) and Senior Lecturer at Tung Wah College (2014–2018). Dr. Yip has also contributed to nursing education as a Lecturer at St. Teresa’s Hospital (2011–2014) and The Chinese University of Hong Kong-Tung Wah Group of Hospitals Community College (2008–2010). Earlier in her career, she served as a Nursing Officer (Head of Staff Development) at St. Paul’s Hospital and Instructor and Practicum Coordinator at The University of Hong Kong (1999–2008), specializing in operating theatre education. Her extensive clinical experience includes roles as a Registered Nurse-in-Charge at Union Hospital (1998–1999), Second-in-Charge at Prince of Wales Hospital’s Operating Theatre (1995–1998), and as a Registered Nurse in the A&E, Orthopaedic, and Medical Wards at Fanling Hospital (1993–1995). She began her journey in healthcare at the Prince of Wales Hospital’s Gynaecology Ward (1990–1993), mentoring nursing students along the way. Dr. Yip’s leadership, teaching acumen, and clinical expertise reflect her unwavering commitment to advancing nursing education, staff development, and patient care excellence.

Awards and Honors 🏆

Dr. Ka-Huen Yip has been recognized for her outstanding contributions to healthcare, nursing education, and research through numerous awards and honors. She holds the prestigious Remote Pilot Certificate from the Civil Aviation Department of the Hong Kong Special Administrative Region, showcasing her versatility and forward-thinking approach to integrating technology into healthcare practices. As an Associate Member of the Hong Kong Society of Rheumatology, Dr. Yip continues to contribute to advancements in rheumatology care. In acknowledgment of her expertise, Dr. Yip was invited as a Keynote Speaker at the 14th Annual Scientific Meeting of the Hong Kong College of Urological Nursing, where she delivered a notable talk titled “From Bedside to Byline: Nursing Your Abstract to Publication Perfection”. Her leadership and dedication to research have earned her a place on the Journal of Advanced Nursing Early Career Researcher Board, where she supports emerging scholars in advancing the nursing field. These accolades underscore Dr. Yip’s commitment to professional excellence, education, and innovation in global healthcare.

Research Interests:

Dr. Ka-Huen Yip has a rich research background focused on advancing nursing care, healthcare practices, and long-term patient outcomes. Her recent research contributions include exploring long-term care planning for children with intellectual disabilities post-COVID-19, published in Healthcare (2024), a journal with a notable impact factor of 2.8. Additionally, Dr. Yip has examined comprehensive nursing care approaches for rheumatoid arthritis patients experiencing shoulder pain, highlighting her dedication to improving chronic care management. Her work on healthcare assistants’ reflections during the pandemic, balancing routine care and COVID-19 challenges, demonstrates her ability to address critical issues in healthcare delivery under adversity. Dr. Yip actively engages in knowledge dissemination as a keynote speaker at prestigious conferences, such as the 14th Annual Scientific Meeting of the Hong Kong College of Urological Nursing. She also serves as a member of the Journal of Advanced Nursing Early Career Researcher Board, contributing to the development of emerging scholars. Her research interests emphasize compassionate care, nursing education, and clinical innovation, underscoring her commitment to evidence-based practice and improving global healthcare standards.

📚 Publications 

Navigating changes: A qualitative study exploring the health-related quality of life of breast cancer survivors during the coronavirus disease 2019 pandemic

  • Journal: Journal of Advanced Nursing
  • Year: 2024 | Volume: 80(4) | Pages: 1531–1544
  • Authors: Yip, K.-H., Yip, Y.-C., Tsui, W.-K., Mo, Y.-H., Smith, G.D.
  • Citations: 0

Young Adults’ Perspectives on the Implications of an Augmented Reality Mobile Game for Communities’ Public Health: A Qualitative Study

  • Journal: International Journal of Public Health
  • Year: 2023 | Volume: 68 | Article ID: 1605630
  • Authors: Yip, Y.-C., Yip, K.-H., Tsui, W.-K.
  • Citations: 1

Heartbreak and Loneliness Due to Family Separations and Limited Visiting during COVID-19: A Qualitative Study

  • Journal: International Journal of Environmental Research and Public Health
  • Year: 2023 | Volume: 20(2) | Article ID: 1633
  • Authors: Tsui, W.-K., Yip, K.-H., Yip, Y.-C.
  • Citations: 6

When rationing becomes inevitable in a pandemic: A discussion on the ethical considerations from a public health perspective

  • Journal: Public Health in Practice
  • Year: 2022 | Volume: 4 | Article ID: 100294
  • Authors: Yip, Y.-C., Yip, K.-H., Tsui, W.-K.
  • Citations: 1

The Lived Experiences of Women without COVID-19 in Breastfeeding Their Infants during the Pandemic: A Descriptive Phenomenological Study

  • Journal: International Journal of Environmental Research and Public Health
  • Year: 2022 | Volume: 19(15) | Article ID: 9511
  • Authors: Yip, K.-H., Yip, Y.-C., Tsui, W.-K.
  • Citations: 4

Use of thin silicone dressings for prolonged use of filtering facepiece respirators: Lessons from the universal community testing programme during the COVID-19

  • Journal: International Wound Journal
  • Year: 2022 | Volume: 19(5) | Pages: 1188–1196
  • Authors: Yip, K.-H., Yip, Y.-C.
  • Citations: 3

Psychological Experiences of Patients with Coronavirus Disease 2019 (COVID-19) during and after Hospitalization: A Descriptive Phenomenological Study

  • Journal: International Journal of Environmental Research and Public Health
  • Year: 2022 | Volume: 19(14) | Article ID: 8742
  • Authors: Yip, Y.-C., Yip, K.-H., Tsui, W.-K.
  • Citations: 7

Exploring the gender-related perceptions of male nursing students in clinical placement in the Asian context: A qualitative study

  • Journal: Nursing Reports
  • Year: 2021 | Volume: 11(4) | Pages: 881–890
  • Authors: Yip, Y.-C., Yip, K.-H., Tsui, W.-K.
  • Citations: 17

The transformational experience of junior nurses resulting from providing care to COVID-19 patients: From facing hurdles to achieving psychological growth

  • Journal: International Journal of Environmental Research and Public Health
  • Year: 2021 | Volume: 18(14) | Article ID: 7383
  • Authors: Yip, Y.-C., Yip, K.-H., Tsui, W.-K.
  • Citations: 16

Hong Kong’s growing need for palliative care services and the role of the nursing profession

  • Journal: Asia Pacific Journal of Health Management
  • Year: 2021 | Volume: 16(1) | Article ID: i597
  • Authors: Yip, Y.-C., Tsui, W.-K., Yip, K.-H.
  • Citations: 3

Conclusion 

Dr. Ka-Huen Yip outstanding academic qualifications, leadership roles, impactful research, and deep-rooted contributions to nursing education position her as an ideal candidate for the Research for Best Researcher Award. Her ability to bridge clinical expertise with academic innovation makes her a distinguished leader in healthcare research.

 

 

Ibrahim | Deep Learning | Best Researcher Award

Assist. Prof. Dr. Ibrahim | Deep Learning | Best Researcher Award 🏆

Big Data Science at Imam Mohamed Ibn Saud Islamic University, Saudi Arabia

Assist. Prof. Dr. Ibrahim Ibrahim is a distinguished researcher specializing in Big Data Visualizations, Data Science, and Blockchain Technologies. He earned his Ph.D. from the University of Queensland, Australia, focusing on “Constraint-based Recommendations of Query Visualization in Big Data.” With an M.Sc. in Information Systems from Ain Shams University and a B.Sc. in Computer Science from Mansoura University, he has a strong academic foundation. Currently serving as an Assistant Professor at Minia University, Egypt, he also leads the Public Service Centre for Software and Information. His professional experience spans roles as a Senior Data Scientist and Research Technical Assistant, contributing to projects like medical blockchain for human genomes. Dr. Ibrahim has authored numerous publications in CORE A conferences and prestigious journals, showcasing expertise in data mining, machine learning, and visualization. He is proficient in various programming languages, database systems, and big data tools, making impactful contributions to research and innovation.

Profile

Google Scholar

Education 🎓:

Assist. Prof. Dr. Ibrahim Ibrahim holds a Ph.D. in Big Data Visualizations and Data Science from the University of Queensland, Australia (2014–2018). His doctoral research, supervised by Prof. Xue Li and Dr. Xin Zhao, focused on “Constraint-based Recommendations of Query Visualization in Big Data,” providing significant advancements in data science. He completed an M.Sc. in Information Systems at Ain Shams University, Egypt (2005–2008), under the guidance of Prof. Mohamed A. Sharkawy and Prof. Hesham A. Ali, with a thesis titled “Knowledge Extraction from Transformed Warehousing Web Data Using XML.” Dr. Ibrahim began his academic journey with a B.Sc. in Computer Science from Mansoura University, Egypt (2001), where he specialized in Information Systems and built a solid foundation in database systems, machine learning, and software engineering.

Work Experience 💼:

Assist. Prof. Dr. Ibrahim Ibrahim has a robust professional background, currently serving as an Assistant Professor and Director of the Public Service Centre for Software and Information at Minia University, Egypt. He has held roles such as Research Technical Assistant at the University of Queensland, Australia, and Team Leader for the Medical Blockchain in the Human Genome Project. Additionally, he worked as a Senior Data Scientist at Dimension Data, Australia, and contributed to academia as an Assistant Lecturer and Demonstrator at Minia University, showcasing his expertise in data science, blockchain, and visualization technologies.

Awards and Honors 🏆

Assist. Prof. Dr. Ibrahim Ibrahim has received numerous awards and honors in recognition of his research excellence and professional contributions. He was awarded the Postgraduate Research Scholarship by the Culture Affairs and Mission Sector of Egypt, a testament to his academic prowess and commitment to advancing knowledge. Dr. Ibrahim’s collaborative work in medical blockchain technologies and big data visualizations has garnered significant recognition, establishing him as a thought leader in these cutting-edge fields. His contributions to prestigious CORE A-ranked conferences and journals further underscore his influence and impact within the global research community. These accolades reflect his dedication to innovation and his role in driving advancements in data science and information systems.

Research Interests:

Assist. Prof. Dr. Ibrahim Ibrahim’s research interests span a wide range of cutting-edge topics in the fields of data science and technology. His focus includes big data visualizations, constraint-based query recommendations, and knowledge discovery from transformed web data. He is passionate about exploring medical data analytics, blockchain technologies, and structured sentiment analysis. His work also delves into hierarchical model evaluation, feature extraction for smart sensing, and the development of efficient mining techniques for subsequence patterns. Through his research, Dr. Ibrahim aims to bridge the gap between complex data systems and practical applications, driving innovation in data-driven decision-making and advanced visualization tools.

📚 Publications 

  • Title: COVID-19 outbreak: A hierarchical framework for user sentiment analysis
    Authors: AF. Ibrahim, M. Hassaballah, AA. Ali, Y. Nam, IA. Ibrahim
    Journal: Computational Materials Continua
    Volume: 70, Issue: 2, Pages: 2507-2524
    Cited by: 22
    Year: 2022
  • Title: An efficient multilevel image thresholding method based on improved heap-based optimizer
    Authors: EH. Houssein, GM. Mohamed, IA. Ibrahim, YM. Wazery
    Journal: Scientific Reports
    Volume: 13, Issue: 1, Article ID: 9094
    Cited by: 19
    Year: 2023
  • Title: Structured sentiment analysis
    Authors: A. Almars, X. Li, X. Zhao, IA. Ibrahim, W. Yuan, B. Li
    Book: Advanced Data Mining and Applications: 13th International Conference, ADMA
    Cited by: 17
    Year: 2017
  • Title: Constrained recommendations for query visualizations
    Authors: IA. Ibrahim, AM. Albarrak, X. Li
    Journal: Knowledge and Information Systems
    Volume: 51, Pages: 499-529
    Cited by: 16
    Year: 2017
  • Title: A survey on blockchain for intelligent governmental applications
    Authors: IR. Abdelhamid, ITA. Halim, A. Ali, IA. Ibrahim
    Journal: Indonesian Journal of Electrical Engineering and Computer Science
    Volume: 31, Issue: 1
    Cited by: 7
    Year: 2023
  • Title: Evaluation methods of hierarchical models
    Authors: AM. Almars, IA. Ibrahim, X. Zhao, S. Al-Maskari
    Book: Advanced Data Mining and Applications: 14th International Conference, ADMA
    Cited by: 6
    Year: 2018
  • Title: An Improved Search and Rescue Algorithm for Global Optimization and Blood Cell Image Segmentation
    Authors: YW. Essam H. Houssein, Gaber M. Mohamed, Reem Alkanhel, Ibrahim A. Ibrahim
    Journal: Diagnostics
    Volume: 13, Issue: 8
    Pages: 1-33
    Cited by: 5*
    Year: 2023

Conclusion 

Dr. Ibrahim outstanding contributions in research, technical expertise, and innovative applications of big data and blockchain technologies position him as a highly suitable candidate for the Best Researcher Award. His impactful work aligns with the award’s emphasis on research excellence and societal impact.