Frnaz Akbar | Neuroscience | Best Researcher Award

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Dr. Frnaz Akbar | Neuroscience | Best Researcher Award

Dr. Frnaz Akbar, National University Of Modern Languages, Pakistan

Dr. Frnaz Akbar is a dedicated computer science and software engineering educationist, researcher, and web developer with over a decade of experience in teaching and web development. She has consistently contributed to building student knowledge in computer science and is committed to high-quality education. Her expertise spans artificial intelligence, data mining, precision agriculture, IoT, and blockchain. Dr. Akbar is currently pursuing a PhD in Artificial Intelligence at Air University, Islamabad, and has a strong publication record, including studies on deep learning, pattern recognition, and EEG-based Alzheimer’s research. She has worked as a lecturer at NUML University and held teaching positions at prestigious institutions. Her technical proficiency includes MERN, Python, C++, and ASP.Net. Recognized for academic excellence, she has received multiple honors, including a Best Teacher Trophy and High Achiever Scholarships. Passionate about research and innovation, she continues to contribute significantly to computer science and AI.

Publication Profile

Scopus

Education 🎓

Dr. Frnaz Akbar is currently pursuing a PhD in Artificial Intelligence at Air University, Islamabad, focusing on machine learning and deep learning applications. She holds an MS in Software Engineering (2018-2020) from Bahria University, Islamabad, and a Master’s in Information Technology (2015-2017) from PMAS ARID University, Rawalpindi, both with first-division honors. Her Bachelor’s in Computer Science (2013-2015) was completed at Punjab University, Lahore, where she received a Role of Honor Certificate. Additionally, she earned a B.Ed. (2020-2022) from Sarhad University, Islamabad Campus, further strengthening her educational expertise. Her academic journey began with HSSC and SSC from Islamabad College F-6/2, where she maintained outstanding academic performance. Throughout her education, she has demonstrated excellence, securing High Achiever Scholarships and academic awards. With expertise in AI, IoT, and software development, her education reflects a strong foundation in research, programming, and innovative computing technologies.

Experience 👩‍🏫

Dr. Frnaz Akbar has extensive experience in academia and industry, specializing in computer science and software engineering. She is currently a Visiting Lecturer at NUML University, Islamabad, in the Department of Software Engineering. Previously, she served as a Senior Computer Science Teacher at IMCG F-10/2 (2017-2023) and ISS, G-13/1, Islamabad (2013-2017), where she mentored students and designed curricula. She has also been a Computer Tutor at Allama Iqbal Open University since 2020, providing part-time instruction. In addition to teaching, she worked as a Software Developer at K-Soft, Ministry of Defense, focusing on MIS applications. With expertise in AI, IoT, and software development, she has contributed significantly to research and education. Her teaching philosophy emphasizes innovation and hands-on learning, ensuring students acquire both theoretical and practical skills. She is passionate about integrating emerging technologies into education and has a proven track record of academic excellence.

Awards and Honors 🏆

Dr. Frnaz Akbar has been recognized for her outstanding contributions to education and research. She received the Best Teacher Trophy from IMCG F-10/2, Islamabad, for her exemplary performance in student development and academic excellence. During her MS at Bahria University, she was appointed as a Teacher Assistant, reflecting her strong command over software engineering concepts. She secured a High Achiever Scholarship in every semester of her MSc IT at PMAS ARID University, Rawalpindi, showcasing her dedication to academic excellence. Her bachelor’s degree at Punjab University earned her a Role of Honor Certificate, highlighting her exceptional academic performance. In her early education, she was awarded a certificate for high attendance at IMCG F-7/2 and secured the second position in SSC. These accolades demonstrate her commitment to education, mentorship, and research, reinforcing her position as a leader in computer science and software engineering.

Research Focus 🔬

Dr. Frnaz Akbar’s research interests revolve around cutting-edge technologies in artificial intelligence and data science. She specializes in AI-driven applications, including deep learning, data mining, and pattern recognition. Her work extends to precision agriculture, where she leverages AI for optimizing crop health analysis. She is also actively engaged in research on the Internet of Things (IoT) and edge computing, focusing on real-time data processing. Blockchain technology and its integration with AI for secure computing systems form another critical aspect of her research. One of her notable contributions is in healthcare AI, particularly Alzheimer’s disease detection using EEG signal analysis. She has published and submitted multiple research papers on AI applications in medical diagnostics and agricultural automation. Her research is highly interdisciplinary, combining machine learning, neural networks, and computational modeling to solve real-world problems, making significant contributions to AI and software engineering domains. 🚀

Publication Top Notes

📖 Optimized Approach in Requirements Change Management in Geographically Dispersed Environment (GDE), International Journal of Foundations of Computer Science, 2020

🌿 Identifying Lesions in Cotton Leaves Unconstrained Images using Deep Neural Network, Computers in Biology and Medicine, 2023 (Under Review)

🧠 Unlocking the Potential of EEG in Alzheimer’s Disease Research: Current Status and Pathways to Precision Detection, Foundations and Trends in Machine Learning, 2024 (Under Review)

📊 Assessing the Effects of Alzheimer Disease on EEG Signals using the Entropy Measure: A Meta-analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (Under Review)

Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Kiyohisa KAMIMURA, Kagoshima University Graduate School of Medical and Dental Sciences, Japan

Dr. Kiyohisa Kamimura is a renowned radiologist and Specially Appointed Associate Professor at the Department of Advanced Radiological Imaging, Kagoshima University, Japan. He holds an M.D. and Ph.D. from Kagoshima University, with over two decades of experience in radiology, including leadership roles such as Chief Radiologist at Kirishima Medical Center. Dr. Kamimura is a board-certified member of multiple prestigious radiology societies, specializing in advanced imaging techniques. His active research collaborations with Shin Nippon Biomedical Laboratories (SNBL) highlight his commitment to medical innovation. He is recognized for his expertise in neuroradiology and magnetic resonance imaging. 🌟📡

 

Publication Profile

Orcid

Education Journey

Dr. Kiyohisa Kamimura pursued his extensive medical education at Kagoshima University, Japan. He began with a premedical program (1992–1994) before advancing to an undergraduate degree in medicine (1994–1998). He further honed his expertise by completing an M.D. and Ph.D. at Kagoshima University Graduate School of Medical and Dental Science (2000–2008). His academic journey reflects a steadfast dedication to medical excellence and radiological research, laying the foundation for his impactful career in advanced imaging and radiology. 🩺📖

 

Professional Experience

Dr. Kiyohisa Kamimura has an illustrious career in radiology spanning over two decades. Starting at Kagoshima University Medical and Dental Hospital (1998–2000), he worked at several esteemed institutions, including Kagoshima Prefectural Oshima Hospital and Nanpuh Hospital. He served as Chief Radiologist at Kirishima Medical Center (2013–2014) and Assistant Professor at Kagoshima University (2014–2023). Currently, he is a Specially Appointed Associate Professor in the Department of Advanced Radiological Imaging at Kagoshima University. His roles demonstrate expertise in radiology and a commitment to advancing medical imaging technologies. 🌟📡

 

Research Focus

Dr. Kiyohisa Kamimura specializes in advanced radiological imaging, with a focus on brain and tumor imaging. His research includes time-dependent MRI diffusion for differentiating pituitary tumors, glioblastomas, brain metastases, and primary CNS lymphomas. He also explores MR amide proton transfer imaging and dynamic contrast-enhanced MRI for tumor evaluation. Dr. Kamimura’s work contributes significantly to neuroimaging, oncology diagnostics, and imaging biomarkers. His expertise extends to pancreatic ductal adenocarcinoma imaging and intravoxel incoherent motion studies in the pituitary gland, advancing precision diagnostics and treatment planning. 🌟🩺📈

 

Publication Top Notes 📚

 

  • Time‐dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors (2025) – DOI: 10.1111/jon.13254 🧠📅
  • Differentiating primary CNS lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient (2023) – DOI: 10.1186/s40644-023-00639-7 🧠📈
  • Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI (2023) – DOI: 10.1186/s40644-023-00595-2 🧠🔍
  • Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging (2022) – DOI: 10.1111/jon.13019 🩻🔬
  • Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-Enhanced MRI (2021) – DOI: 10.3390/cancers13153914 🧠⚡
  • Visual enhancement pattern during the delayed phase of enhanced CT as a prognostic factor in stage IV pancreatic ductal adenocarcinoma (2020) – DOI: 10.1016/j.pan.2020.07.009 🩺✨
  • Large Intraosseous Schwannoma in Petrous Apex Presenting with Intratumoral Hemorrhage (2019) – DOI: 10.1016/j.wneu.2019.07.179 🦴🩹
  • Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions (2019) – DOI: 10.1007/s11604-018-0787-3 🔍💡
  • Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging (2016) – DOI: 10.3174/ajnr.A4930 🧠🌀
  • Contrast-enhanced CT and diffusion-weighted MR imaging as prognostic factors in pancreatic ductal adenocarcinoma (2014) – DOI: 10.1016/j.ejrad.2013.12.016 🩻📊

 

Rodolfo Pinto Almazán | Neuropharmacology | Best Researcher Award

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Dr. Rodolfo Pinto Almazán | Neuropharmacology | Best Researcher Award

Dr. Rodolfo Pinto Almazán, Escuela Superior de Medicina, IPN, Mexico

Dr. Rodolfo Pinto Almazán is a prominent researcher and professor specializing in biomedical sciences and pharmacology. Currently a Level II member of the National System of Researchers (SNI) and a professor at the Instituto Politécnico Nacional (IPN), Mexico, he has made significant contributions to metabolic and neurodegenerative disease research. With a postdoctoral fellowship at USC and Children’s Hospital Los Angeles, Dr. Pinto has authored groundbreaking studies on oxidative stress and brain function. His honors include the Best Research Manuscript Award (2023) and multiple accolades for his impactful research. 📚🔬👨‍🔬🎓

Publication Profile

Scopus

Research Experience and Achievements

Dr. Rodolfo Pinto Almazán is a distinguished researcher with extensive experience in biomedical sciences. He has been a member of the National System of Researchers (SNI) since 2016, currently at Level II. Dr. Pinto is a professor at the Instituto Politécnico Nacional (IPN) and has worked in various prestigious roles, including postdoctoral research at the University of Southern California (USC) and Children’s Hospital Los Angeles. He has contributed significantly to the study of metabolic and neurodegenerative diseases. His career includes multiple research fellowships and awards. 📚🔬🎓👨‍🔬

Educational Background

Dr. Rodolfo Pinto Almazán holds a distinguished academic background in biomedical sciences. He completed his postdoctoral fellowship at the Keck School of Medicine, USC, and Children’s Hospital Los Angeles (2016–2017), studying sex differences in the central nervous system due to early-life stress. He earned his Ph.D. in Biomedical Sciences from the National Autonomous University of Mexico (UNAM) in 2014, focusing on oxidative stress in the hippocampus. Dr. Pinto also holds a Master’s degree in Pharmacology from the Instituto Politécnico Nacional (IPN), where he studied tau protein activation. His Bachelor’s degree in Pharmaceutical Chemistry was awarded by La Salle University, Mexico. 🎓🔬📚👨‍🔬

Technical Experience

Dr. Rodolfo Pinto Almazán possesses extensive technical expertise in histological and molecular techniques. He is skilled in cryosectioning, immunohistochemistry, and cellular staining. His molecular techniques include DNA/RNA extraction, PCR, ELISA, and Western Blot. Dr. Pinto is proficient with laboratory equipment such as HPLC, NanoDrop, cryostats, thermal cyclers, histoquinescence, and both confocal and optical microscopes. He has hands-on experience with animal handling, including injections, surgeries, ovariectomies, and behavioral tests like the Plus Maze and Morris Water Maze. He also excels in laboratory management, overseeing training, budgeting, and protocol optimization. 🧪🔬🧑‍🔬🐁💻

Teaching Experience

Dr. Rodolfo Pinto Almazán has extensive teaching experience across various levels. He served as an invited professor for the “Molecular Bases of Neurological Diseases” course in the Doctoral program in Biomedical Sciences at UNAM in 2017. He has also taught multiple courses in the Master’s program in Health Sciences at the Escuela Superior de Medicina (ESM, IPN) including Clinical Research, Bioethics, and Biostatistics. In addition, Dr. Pinto has taught Medical Residency courses in Pharmacology, Biochemistry, and Research Methodology at institutions like HRAEI, UAEH, and IMSS. His undergraduate teaching spans subjects like Biochemistry, Cellular Biology, and Pharmacology at UVM, demonstrating his wide-ranging expertise in medical and health sciences education. 📚🧑‍🏫💉

Research Focus

Dr. Rodolfo Pinto Almazán’s research focuses primarily on medical mycology, neuroprotection, and metabolic health. His work explores the neuroprotective effects of sex steroids in spinal cord injury, the virulence factors of fungi like Microsporum canis and Nakaseomyces glabratus, and their association with various skin diseases. Additionally, his research includes investigating metabolic disorders, inflammation, and the effects of omega-3 fatty acids in COVID-19 patients. His contributions span topics such as trauma, fungal infections, and neurodegenerative conditions, emphasizing the importance of therapeutic interventions. 🔬🧠🦠🧑‍🔬

Publication Top Notes 

  • Effect of Chronic Tibolone Administration on Memory and Choline Acetyltransferase and Tryptophan Hydroxylase Content in Aging Mice – Castillo-Mendieta, T., Bautista-Poblet, G., Coyoy-Salgado, A., Neri-Gómez, T., Guerra-Araiza, C. (2024) 🧠📚 – 0 citations
  • Mortality-Associated Factors in a Traumatic Brain Injury Population in Mexico – Martínez-Herrera, E., Galindo-Oseguera, E., Castillo-Cruz, J., Arellano-Ramírez, A., Pinto-Almazán, R. (2024) ⚠️💀 – 0 citations
  • Evaluating Sex Steroid Hormone Neuroprotection in Spinal Cord Injury in Animal Models: Is It Promising in the Clinic? – Coyoy-Salgado, A., Segura-Uribe, J., Salgado-Ceballos, H., Moralí de la Brena, G., Guerra-Araiza, C. (2024) 🧠💉 – 0 citations
  • Cutaneous Fusarium Disease and Leukaemias: A Systematic Review – Cortés-López, P.N., Guzmán-Montijo, E., Fuentes-Venado, C.E., Pinto-Almazán, R., Martínez-Herrera, E. (2024) 🦠🩺 – 0 citations
  • Fungal Melanonychia: A Systematic Review – Rodríguez-Cerdeira, C., Martínez-Herrera, E., Cortés-López, P.N., Vega-Sánchez, D.C., Pinto-Almazán, R. (2024) 🦠💅 – 2 citations
  • Remarkable Phenotypic Virulence Factors of Microsporum canis and Their Associated Genes: A Systematic Review – Vite-Garín, T., Estrada-Cruz, N.A., Hernández-Castro, R., Martínez-Herrera, E., Pinto-Almazán, R. (2024) 🦠💪 – 4 citations
  • Virulence and Resistance Factors of Nakaseomyces glabratus (formerly known as Candida glabrata) in Europe: A Systematic Review – Rodríguez-Cerdeira, C., Pinto-Almazán, R., Saunte, D.M.L., Prohic, A., Martínez-Herrera, E. (2024) 🦠🔬 – 1 citation
  • Effectiveness of Omega-3 Fatty Acid Supplementation in Improving the Metabolic and Inflammatory Profiles of Mexican Adults Hospitalized with COVID-19 – Rodríguez-Vera, D., Salazar, J.R., Soriano-Ursúa, M.A., Loza-Mejía, M.A., Pinto-Almazán, R. (2024) 🐟💪 – 1 citation
  • In Silico and In Vivo Evaluation of the Maqui Berry (Aristotelia chilensis (Mol.) Stuntz) on Biochemical Parameters and Oxidative Stress Markers in a Metabolic Syndrome Model – Castillo-García, E.L., Cossio-Ramírez, A.L., Córdoba-Méndez, Ó.A., Gallardo, J.M., Guerra-Araiza, C. (2023) 🍇⚖️ – 0 citations
  • Main Phenotypic Virulence Factors Identified in Trichophyton Rubrum – Martínez-Herrera, E., Moreno-Coutiño, G., Fuentes-Venado, C.E., Pinto-Almazán, R., Rodríguez-Cerdeira, C. (2023) 🦠🦶 – 3 citations

Linjing Mu | Brain PET Imaging Award | Best Researcher Award

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Dr. Linjing Mu | Brain PET Imaging Award | Best Researcher Award

Dr. Linjing Mu, ETH Zurich, Switzerland

🔬 Dr. Linjing Mu pursued doctoral research at Nankai University, followed by a post-doctoral fellowship at Basel University, Switzerland. With expertise in radiopharmaceutical sciences, Dr. Mu led research teams at University Hospital Zurich and ETH Zurich, focusing on lead structure discovery, ligand synthesis, and radiolabeling method development. A prolific author, Dr. Mu has 106 peer-reviewed publications, including 10 as last and corresponding author, and 19 as the first author. Co-investigator on 10 patents, Dr. Mu has presented internationally and collaborated with industry leaders like Bayer Schering, Novartis, and Roche, contributing significantly to drug discovery and clinical translations.

 

Publication Profile:

Scopus

Orcid

Education:

Doctoral Research in Chemistry Department, Nankai University (1993-1996)

Post-Doctoral Fellow, Basel University, Switzerland (1996-2001)

Experience:

Team Leader in the field of Radiopharmaceutical Sciences, Group of Prof. Schubiger (2001-2010)

Head of Research, Radiopharmacy, University Hospital Zurich (2010-2021)

Senior Scientist, Prof. Schibli’s Group, ETH Zurich (2021-Present)

Research Expertise:

Lead Structure Finding based on Literature and Patents

Design and Synthesis of Novel Ligands

Structure-Activity Relationship Studies

Radiolabeling Method Development

In Vitro and In Vivo Evaluation

Academic Achievements:

Co-authored 106 Peer-Reviewed Publications

Last and Corresponding Author on 10, First Author on 19 (H-Factor 29, Scopus)

Co-Investigator on 10 Patent Applications

Contributed to International Conferences as Invited Speaker, Oral and Poster Presenter

Research Focus:

🔬 Dr. Linjing Mu’s research focus lies at the intersection of neuroimaging and drug development, particularly in the field of molecular imaging for neurodegenerative diseases like Alzheimer’s. Their work encompasses the development and optimization of radioligands targeting specific molecular pathways implicated in neurodegeneration. Through PET/MRI studies and the exploration of novel PET tracers, such as (R)-[18F]YH134 and (R)-[18F]PSS232, Dr. Mu aims to deepen our understanding of disease mechanisms and identify potential therapeutic targets. This research not only sheds light on disease pathology but also paves the way for the development of new diagnostic tools and pharmacological interventions.

 

Publication Top Notes:

📄 Wang, J. et al. Metabotropic glutamate receptor 5 (mGluR5) is associated with neurodegeneration and amyloid deposition in Alzheimer’s disease: A [18F]PSS232 PET/MRI study. Published in Alzheimer’s Research and Therapy, 2024. Cited by: 0.

📄 He, Y. et al. Identification of (R)-[18F]YH134 for Monoacylglycerol Lipase Neuroimaging and Exploration of Its Use for Central Nervous System and Peripheral Drug Development. Published in Journal of Nuclear Medicine, 2024. Cited by: 0.

📄 Boccalini, C. et al. The impact of tau deposition and hypometabolism on cognitive impairment and longitudinal cognitive decline. Published in Alzheimer’s and Dementia, 2024. Cited by: 1.

📄 Trachsel, B. et al. Reducing kidney uptake of radiolabelled exendin-4 using variants of the renally cleavable linker MVK. Published in EJNMMI Radiopharmacy and Chemistry, 2023. Cited by: 0.

📄 Lu, Y. et al. Proof-of-concept optimization of a copper-mediated 18F-radiosynthesis of a novel MAGL PET tracer on a high-throughput microdroplet platform and its macroscale translation. Published in Lab on a Chip, 2023. Cited by: 1.

📄 Ni, R. et al. Imaging increased metabolism in the spinal cord in mice after middle cerebral artery occlusion. Published in Photoacoustics, 2023. Cited by: 0.

📄 Zechner, M. et al. In Vitro and In Vivo Evaluation of ABCG2 (BCRP) Inhibitors Derived from Ko143. Published in Journal of Medicinal Chemistry, 2023. Cited by: 1.

📄 Bengs, S. et al. Rest/stress myocardial perfusion imaging by positron emission tomography with 18F-Flurpiridaz: A feasibility study in mice. Published in Journal of Nuclear Cardiology, 2023. Cited by: 3.

📄 Peretti, D.E. et al. ATN profile classification across two independent prospective cohorts. Published in Frontiers in Medicine, 2023. Cited by: 0.

📄 He, Y. et al. Multi-parameter optimization: Development of a morpholin-3-one derivative with an improved kinetic profile for imaging monoacylglycerol lipase in the brain. Published in European Journal of Medicinal Chemistry, 2022. Cited by: 2.