Luca Faes | Computational neuroscience | Best Researcher Award

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Prof. Luca Faes | Computational neuroscience | Best Researcher Award

Professor, University of Palermo, Italy

Prof. Luca Faes is a Full Professor at the Department of Engineering, University of Palermo, Italy. He earned his MSc in Electronic Engineering (1998) from the University of Padova and a PhD in Electronic Devices (2003) from the University of Trento. His research focuses on biomedical signal processing, information dynamics, and physiological networks. He has held positions at institutions such as the Bruno Kessler Foundation, University of Trento, and has been a visiting researcher in the USA, Belgium, and Brazil. A recipient of multiple awards, including the IEEE Senior Member recognition, Prof. Faes has been named among the World’s Top 2% Scientists by Stanford University. He actively contributes to academic programs, Erasmus+ initiatives, and editorial boards in biomedical engineering.

Publication Profile

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Education

Prof. Luca Faes earned his Master’s degree (Italian Laurea) in Electronic Engineering cum laude from the University of Padova, Italy, in 1998 βš™οΈ. He then pursued a PhD in Electronic Devices at the University of Trento, Italy, in 2003 πŸ…. His academic journey laid the foundation for his expertise in biomedical engineering, signal processing, and complex system analysis πŸ“‘. With a strong background in electronic systems and bioengineering applications, he has made significant contributions to research and academia, shaping the field of biomedical signal processing and physiological network dynamics πŸ”¬πŸ“Š.

Professional Experience

Prof. Luca Faes has had a distinguished career in biomedical engineering and bioinformatics. He began as a Research Fellow (1999-2000) at ITC-irst, Trento, followed by a PhD at the University of Trento (2000-2003) πŸŽ“. He held postdoctoral positions (2003-2013) at Trento’s Biophysics and BIOtech labs 🧬. Later, he became a Researcher (2014-2017) at FBK and Professor at the University of Palermo (2018-present) πŸ…. His global research collaborations span USA, Belgium, and Brazil 🌍. Recognized as an IEEE Senior Member (2019) and among the World’s Top 2% Scientists (2021-2022), he is an esteemed expert in bioengineering and complex systems βš™οΈπŸ“Š.

Academic Contributions

Prof. Luca Faes has played a pivotal role in academic development and international collaborations. He has been a Doctorate Committee Member at CiMeC, University of Trento (2016-2017) and later at Palermo’s ICT Department (2018-present) πŸ“š. He co-organized the Biomedical Engineering Master’s Program and serves as Vice Coordinator & Tutor for the Bachelor’s Program πŸŽ“. As an Erasmus+ Coordinator, he has fostered partnerships with universities across Europe 🌍. He also leads the Biomedical Information Technologies Curriculum (2021-present) and organizes seminars with global scholars, strengthening biomedical and cybernetics engineering education πŸ“‘πŸ“Š.

Teaching Contributions

Prof. Luca Faes has been actively involved in teaching since 1999, starting as a Teaching Assistant in General Physics II and Signal & Image Processing at the University of Trento πŸŽ“. He has delivered specialized courses internationally, including Brazil πŸ‡§πŸ‡· (2015), IEEE MOOC (2016), and Portugal πŸ‡΅πŸ‡Ή (2017). Since 2018, he has been a Tenured Professor at the University of Palermo, teaching Sensors, Biomedical Devices, and Statistical Analysis of Biomedical Signals πŸ“Š. His expertise in biomedical signal processing and sensor technology continues to shape future engineers in cybernetics and biomedical fields πŸ€–πŸ”¬.

🧠 Research Focus

Prof. Luca Faes specializes in computational neuroscience, biomedical engineering, and physiological signal processing. His research focuses on brain-heart interactions ❀️🧠, nonlinear dynamics πŸ”„, entropy measures πŸ“Š, and causal inference in physiological systems. He applies Granger causality and transfer entropy to analyze cardiovascular variability, cerebrovascular function, and neural synchronization. His work contributes to wearable health technology ⌚, autonomic regulation studies, and physiological stress assessment ⚑. He collaborates on machine learning πŸ€– and high-order statistical modeling for biomedical applications. His interdisciplinary approach bridges neuroscience, physics, and AI-driven healthcare solutions. 🌍✨

Publication Top Notes

πŸ“„ Measures and Models of Brain-Heart Interactions – IEEE Reviews in Biomedical Engineering, 2025  🧠❀️

πŸ“„ Chaotic Dynamics and Synchronization under Tripartite Couplings – Chaos, Solitons and Fractals, 2024 Β πŸ”„βš‘

πŸ“„ Comparison of Feature Selection Methods for Physiological Stress Classification – Physiological Measurement, 2024 Β πŸ“ŠπŸ“ˆ

πŸ“„ Disentangling High-Order Effects in Transfer Entropy – Physical Review Research, 2024 | 3 citations πŸ”—πŸ“‘

πŸ“„ Assessing Granger Causality in Cerebrovascular Variability – IEEE Transactions on Biomedical Engineering, 2024 | 2 citations πŸ₯🧠

πŸ“„ Entropy Rate Measures for Time Series Complexity – Biocybernetics and Biomedical Engineering, 2024 | 4 citations πŸ”’πŸ“‰

πŸ“„ Wearable Ring-Shaped Biomedical Device for Physiological Monitoring – Biosensors, 2024 | 3 citations βŒšπŸ“‘

πŸ“„ Describing Cerebral Autoregulation via State Space Methods – Conference Paper, 2024 πŸ₯πŸ“ˆ

πŸ“„ Decomposing Transfer Entropy in Cardiovascular Interactions – Conference Paper, 2024 β€οΈπŸ“Š

πŸ“„ Gender Differences in Cardiovascular Variability Entropy – Conference Paper, 2024 Β πŸš»πŸ«€

 

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. πŸŒŸπŸ“‘

 

Publication Profile

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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. πŸ©ΊπŸ“–

 

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. πŸŒŸπŸ“‘

 

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. πŸŒŸπŸ©ΊπŸ“ˆ

 

Publication Top NotesΒ πŸ“š

 

  • Time‐dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors (2025) – DOI: 10.1111/jon.13254 πŸ§ πŸ“…
  • Differentiating primary CNS lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient (2023) – DOI: 10.1186/s40644-023-00639-7 πŸ§ πŸ“ˆ
  • Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI (2023) – DOI: 10.1186/s40644-023-00595-2 πŸ§ πŸ”
  • Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging (2022) – DOI: 10.1111/jon.13019 πŸ©»πŸ”¬
  • 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 πŸ”πŸ’‘
  • Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging (2016) – DOI: 10.3174/ajnr.A4930 πŸ§ πŸŒ€
  • Contrast-enhanced CT and diffusion-weighted MR imaging as prognostic factors in pancreatic ductal adenocarcinoma (2014) – DOI: 10.1016/j.ejrad.2013.12.016 πŸ©»πŸ“Š

 

Gaiqing Wang | Neurodegeneration Disease | Research and Development Excellence Award

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Prof. Gaiqing Wang | Neurodegeneration Disease | Research and Development Excellence Award

Prof. Gaiqing Wang, Sanya Central Hospital (The Third People’s Hospital of Hainan Province), China

Prof. Gaiqing Wang is a distinguished neurologist affiliated with Sanya Central Hospital, Hainan Province, specializing in cerebrovascular diseases. Holding a Ph.D. from Central South University, he focuses on cerebral small vessel disease and endogenous waste clearance in the brain. With over 70 publications, including 27 SCI-indexed papers, Prof. Wang investigates mechanisms of intracerebral hemorrhage and neurodegenerative disorders. He leads numerous research projects funded by national and provincial bodies, exploring innovative therapeutic approaches. His contributions extend to consultancy, industry projects, and authoring books and patents. A member of prestigious professional societies, his work bridges neuroscience research with clinical applications πŸ§ πŸ”¬.

Publication profile

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Academic and Professional Background πŸŽ“

Gaiqing Wang, currently serving as a Professor at Sanya Central Hospital, earned a Ph.D. in Neurology from Central South University in 2006. Specializing in cerebral small vessel disease and brain waste clearance mechanisms, Wang has authored over 70 papers and secured funding for 13 research projects. His impactful contributions include elucidating the role of microglia in hematoma clearance post-intracerebral hemorrhage and exploring circadian regulation of brain clearance systems. Wang’s academic prowess is underscored by leadership in consultancy projects and publication of several books and patents, consolidating his standing as a distinguished figure in neurological research.

Research Focus

Gaiqing Wang primarily focuses on neuroinflammation and neuroprotection in various neurological disorders, prominently in conditions like Alzheimer’s disease, intracerebral hemorrhage, and subarachnoid hemorrhage. His research explores mechanisms involving oxidative stress, microglial activation, and therapeutic interventions such as dexmedetomidine and PPAR-Ξ³ agonists. Wang’s work spans across multiple facets of brain injury and repair, emphasizing the roles of microglia, astrocytes, and clearance systems in these pathological processes. His contributions highlight the intricate signaling pathways and potential therapeutic targets πŸ§ πŸ”¬, advancing understanding and treatment strategies for severe neurological conditions.

Publication Top Notes

Dexmedetomidine mitigates neuroinflammation in an Alzheimer’s disease mouse model via the miR-204-3p/FBXL7 signaling axis

Published in Brain Research (2024)
Year of Publication: 2024 🧠
Neuroprotection by Nrf2 via modulating microglial phenotype and phagocytosis after intracerebral hemorrhage

Published in Heliyon (2023)
Year of Publication: 2023 🧠
Aquaporin-4 in glymphatic system, and its implication for central nervous system disorders

Published in Neurobiology of Disease (2023)
Year of Publication: 2023 🧠
Clearance Systems in the Brain, From Structure to Function

Published in Frontiers in Cellular Neuroscience (2022)
Year of Publication: 2022 🧠
Editorial: Brain injury and repair following cerebrovascular diseases: From bench to bedside

Published in Frontiers in Cellular Neuroscience (2022)
Year of Publication: 2022 πŸ§