Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

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Prof. Dr. Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Prof. Dr. Alireza Kamali-Asl | Freelance organization | United Kingdom

Professor Alireza Kamaliasl is a distinguished expert in medical radiation engineering and serves as the Director of the Medical Imaging Instruments Laboratory and Head of Molecular Imaging Modality. With over two decades of experience in healthcare technology and molecular imaging, he has made pioneering contributions to the design, simulation, and manufacture of advanced medical imaging instruments across modalities such as SPECT, PET, CT, and radiography. His interdisciplinary research integrates mathematical modeling, computational analysis, and clinical collaboration to enhance diagnostic and theranostic imaging systems. Professor Kamaliasl has authored more than 150 publications in top-tier international journals and conferences, achieving an h-index of 28, with over 3,800 citations and 160 research documents indexed in global databases. He has successfully supervised more than 45 postgraduate research projects, fostering innovation and leadership in radiological sciences. His expertise spans radio-isotopic imaging, system performance optimization, radiation shielding, device calibration, and preventive maintenance management. Recognized for his role as a visionary mentor and strategic planner, Professor Kamaliasl continues to advance multimodality molecular imaging and medical instrumentation, bridging the gap between engineering innovation and clinical application to improve diagnostic precision and therapeutic outcomes.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Habibzadeh, M. A., Ay, M. R., Kamali-Asl, A. R., Ghadiri, H., & Zaidi, H. (2012). Impact of miscentering on patient dose and image noise in X-ray CT imaging: Phantom and clinical studies. Physica Medica, 28(3), 191–199.

  2. Aghakhan Olia, N., Kamali-Asl, A., Hariri Tabrizi, S., Geramifar, P., et al. (2022). Deep learning–based denoising of low-dose SPECT myocardial perfusion images: Quantitative assessment and clinical performance. European Journal of Nuclear Medicine and Molecular Imaging, 49(5), 1508–1522.

  3. Arefan, D., Talebpour, A., Ahmadinejhad, N., & Kamali-Asl, A. (2015). Automatic breast density classification using neural network. Journal of Instrumentation, 10(12), T12002.

  4. Poorbaygi, H., Aghamiri, S. M. R., Sheibani, S., Kamali-Asl, A., et al. (2011). Production of glass microspheres comprising 90Y and 177Lu for treating hepatic tumors with SPECT imaging capabilities. Applied Radiation and Isotopes, 69(10), 1407–1414.

  5. Khazaee Moghadam, M., Kamali-Asl, A., Geramifar, P., & Zaidi, H. (2016). Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study. Cancer Biotherapy and Radiopharmaceuticals, 31(10), 367–379.*

Meng Wang | Neuroanatomy | Best Researcher Award

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Mr. Meng Wang | Neuroanatomy | Best Researcher Award

Mr. Meng Wang | Chongqing Medical University | China

Meng Wang is an Associate Professor at Chongqing Medical University, where he leads an innovative research program focused on unraveling the neural encoding mechanisms underlying sensory memory traces. His work employs multiscale approaches that integrate neural networks, cellular ensembles, and synaptic plasticity to advance the systematic mapping of cortical memory processes through microscale functional connectivity maps. Dr. Wang has made landmark contributions to neuroscience, including the identification of Holistic Bursting (HB) cells as putative auditory memory engram neurons characterized by superlinear integration properties, providing novel insights into how sensory memories are encoded and maintained in the brain. His research program bridges cellular neurobiology with systems neuroscience, offering a comprehensive framework for understanding memory formation at multiple organizational levels. A committed scholar, Dr. Wang has authored 15 scientific documents that have collectively received 156 citations from 149 publications, reflecting the impact and visibility of his work within the global scientific community. His h-index of 7 demonstrates a growing influence in the field, underscoring both the relevance and originality of his research. Through his pioneering efforts, Dr. Wang continues to contribute significantly to advancing the understanding of cortical mechanisms that shape memory processing and sensory cognition.

Profiles: Scopus | Research Gate

Featured Publications

Author(s). (2025). 6-Gingerol, an active compound of ginger, attenuates NASH-HCC progression by reprogramming tumor-associated macrophage via the NOX2/Src/MAPK signaling pathway. BMC Complementary Medicine and Therapies.

Ramesh Chatragadda | Systems Neuroscience | Best Researcher Award

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Dr. Ramesh Chatragadda | Systems Neuroscience | Best Researcher Award

Dr. Ramesh Chatragadda, National Institute of Oceanography, India.

Dr. Ramesh Chatragadda is a leading Indian marine biologist whose academic and professional journey reflects a deep commitment to ocean science. With a strong educational foundation in Marine Biology, he has steadily progressed through research fellowships, national postdoctoral work, and various scientific roles, ultimately becoming a Senior Scientist at the CSIR-National Institute of Oceanography and an Assistant Professor at AcSIR. His research focuses on biological oceanography, marine microbial ecology, and environmental sustainability. Internationally recognized through numerous early-career awards and travel fellowships, Dr. Chatragadda’s work continues to influence marine science both in India and globally. His role as a researcher, mentor, and collaborator underscores his dedication to advancing the understanding of ocean ecosystems.

Profile

Google Scholar

🌟 Strengths for the Best Researcher Award

Dr. Ramesh Chatragadda stands out as a highly deserving candidate for the Best Researcher Award due to his impressive research trajectory and impactful scientific contributions. His specialization in biological oceanography and marine microbial ecology demonstrates a critical understanding of marine ecosystems and environmental sustainability. With a Ph.D. in Marine Biology and a robust professional history at premier institutions like CSIR-NIO, NIOT, and NCCR, he brings both field experience and academic depth to his research.

A major strength lies in his international recognition, having secured multiple prestigious awards and travel grants from global bodies such as COBRA, SCOR, PICES, and the Grantham Foundation. These accolades reflect not only the quality but also the global relevance of his research. Additionally, his dual role as a Senior Scientist and Assistant Professor underlines his capacity to balance innovation, publication, and mentorship. His contributions are actively shaping the future of Indian marine research and building strong international scientific networks.

🔍 Areas for Improvement

While Dr. Chatragadda’s achievements are significant, he may consider expanding his interdisciplinary collaborations further, especially with climate scientists, policy makers, and data modelers to translate research into direct marine conservation policies. Increasing open-access publications, science communication efforts, and involvement in community outreach or citizen science programs could enhance public engagement and increase the societal impact of his work. Additionally, assuming editorial roles in international journals or organizing global symposiums would further cement his position as a thought leader in ocean science.

🎓 Early Academic Pursuits

Dr. Ramesh Chatragadda’s journey into the depths of marine science began with a strong academic foundation. He completed his B.Sc. in 2009 from Acharya Nagarjuna University with a focus on Botany, Zoology, and Chemistry. His passion for the ocean and its living resources led him to pursue an M.Sc. in Marine Biology and Fisheries from Andhra University, graduating in 2011. Driven by an insatiable curiosity about marine ecosystems, he earned his Ph.D. in Marine Biology from Pondicherry University in 2016. These formative years not only refined his academic interests but laid a solid groundwork for his future explorations in biological oceanography.

🧪 Professional Endeavors

Dr. Chatragadda’s professional journey reflects a consistent rise in scientific responsibility and academic excellence. After gaining experience as a Junior and Senior Research Fellow at Pondicherry University, he became a National Postdoctoral Fellow at the Atal Centre for Ocean Science and Technology for Islands under the National Institute of Ocean Technology. His career further advanced with his appointment as Project Scientist-B at the National Centre for Coastal Research. He later joined the CSIR-National Institute of Oceanography (NIO) as a Scientist, and was promoted to Senior Scientist in September 2023. Alongside, he holds the designation of Assistant Professor at the Academy of Scientific and Innovative Research (AcSIR), mentoring the next generation of ocean scientists.

🌊 Contributions and Research Focus

At the heart of Dr. Chatragadda’s career lies his profound commitment to understanding marine life and the ecological complexities of ocean systems. His expertise in biological oceanography allows him to explore the intricate interactions between marine organisms and their environment. He is especially noted for his work in marine microbial ecology, bioluminescence, and the functional dynamics of oceanic biological processes. His research endeavors contribute to sustainable marine resource utilization, climate resilience, and biodiversity conservation in coastal and deep-sea ecosystems.

Publication

1. Multifaceted Applications of Microbial Pigments: Current knowledge, Challenges, and Future Directions for Public Health Implications
L Ramesh, CH., Vinithkumar, N.V., Kirubagaran, R., Venil, C.K. and Dufosse — 2019

2. Ecological and biotechnological aspects of pigmented microbes: a way forward in development of food and pharmaceutical grade pigments
CH Ramesh, L Dufosse — 2021

3. Marine pigmented bacteria: A prospective source of antibacterial compounds
R Ramesh, CH., Vinithkumar, N.V. and Kirubagaran — 2019

4. Applications of Prodigiosin Extracted from Marine Red Pigmented Bacteria Zooshikella sp. and Actinomycete Streptomyces sp.
C Ramesh, NV Vinithkumar, R Kirubagaran, CK Venil, L Dufosse — 2020

5. Marine natural products from tunicates and their associated microbes
CH Ramesh, T Bhushan Rao, R Mohanraju, N Thakur, L Dufossé — 2021

6. Natural substrates and culture conditions to produce pigments from potential microbes in submerged fermentation
CH Ramesh, VR Prasastha, M Venkatachalam, L Dufosse — 2022

7. Toxicity studies of Trichodesmium erythraeum (Ehrenberg, 1830) bloom extracts, from Phoenix Bay, Port Blair, Andamans
S Narayana, J Chitra, SR Tapase, V Thamke, P Karthick, C Ramesh, … — 2014

8. Seaweed potential of Little Andaman, India
CH Karthick, P., Mohanraju. R., Murthy, K.N., Ramesh — 2013

9. Antibacterial activity of certain cephalopods from Andamans, India
R Mohanraju, DB Marri, P Karthick, S Narayana, KN Murthy, C Ramesh — 2013

10. Distribution and diversity of seaweeds in North and South Andaman Island
P Karthick, R Mohanraju, CH Ramesh, KN Murthy, S Narayana — 2013

🏁 Conclusion

In conclusion, Dr. Ramesh Chatragadda demonstrates a rare combination of scholarly excellence, research productivity, and global outreach. His commitment to marine biology, recognized by multiple international honors, positions him as a strong contender for the Best Researcher Award. While a few strategic enhancements could broaden the impact of his work, his existing contributions already reflect a high level of research merit, leadership potential, and long-term vision. Based on his credentials and continued dedication to advancing marine science, he is highly suitable for this prestigious recognition.

Samira Jafari | Brain Mapping | Best Researcher Award

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Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise 📚

Dr. Jafari’s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape 🧑‍🔬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafari’s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice 🧠

Dr. Jafari’s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements 🏆

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research 🌍

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation 🔮

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafari’s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

📚 Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in …
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.