Prof. Camillo Porcaro : Leading Researcher in BCI
Prof. Camillo Porcaro, Department of Neuroscience (DNS), Italy
🎉 Congratulations, Prof. Camillo Porcaro!
🏆 On behalf of ScienceFather, we celebrate your remarkable achievement in winning the prestigious Best Researcher Award! Your dedication, innovative research, and scholarly contributions have left an indelible mark in your field. 🌟 Your commitment to advancing knowledge and pushing the boundaries of research is truly commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.
🧠 Dr. Camillo Porcaro is a passionate computational neuroscientist 🤖 with expertise in extracting insights from non-invasive brain activity measures. He earned his PhD with honors in ‘Functional Neuroimaging’ in 2008 at ITAB, University of Chieti, Italy 🎓. As a Postdoctoral Fellow at the University of Birmingham, he delved into simultaneous EEG/fMRI research 🧑🔬. In 2011, he secured an independent research position at the Institute of Neuroscience, Newcastle University 🏴.
Professional Profiles:
. ORCID
. Scopus
🎓 Education:
- Ph.D. (2004-2008):
- Title: “Functional Neuroimaging: from cells to systems”
- Institution: Institute for Advanced Biomedical Technologies (ITAB), Chieti University, Italy
- Honours: With honors
- Thesis Focus: “Development of Tools to Estimate Functional Connectivity among Cerebral Sensorimotor Sources”
- Master II Level (2001-2004):
- Degree: “Bank, Insurance and Finance Management”
- Institution: Faculty of Economics, University of Rome “La Sapienza”, Italy
- Thesis: “Applying Independent Component Analysis to Factor Model in Finance”
- Ms Computer Science (1995-2001):
- Degree: Computer Science
- Institution: Faculty of Science, Mathematics, Physics and Natural, University of Rome “La Sapienza”, Italy
- Collaboration: ISTC-National Research Council (CNR) at the Fatebenefratelli Hospital (Isola Tiberina, Rome, Italy)
- Dissertation: Coherence analysis of bio-electrical signals
🔬📚 Academic journey spanning neuroscience, finance, and computer science, showcasing a diverse skill set and expertise.
🏆 Awards & Honours:
2022:
- 🥇 Best PhD Contribution – IEEE MetroXRAINE:
- Title: “Human-in-the-Loop Approach for Enhanced Mobile Robot Navigation.”
- Authors: K. Omer, F. Ferracuti, A. Freddi, S. Iarlori, A. Monteriù, and C. Porcaro.
- Read more
2021:
- 🎖️ Editor’s Choice Awards – Brain Science Journal:
- Title: “Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review.”
- Authors: Alzahab NA, Apollonio L, Di Iorio A, Alshalak M, Iarlori S, Ferracuti F, Monteriù A, Porcaro C.
- Read more
2020:
- 🏆 Best Poster – NYC Neuromodulation Online Conference:
- Title: “Brain changes due to personalized neuromodulation against multiple sclerosis fatigue.”
- Authors: Camillo Porcaro, Carlo Cottone, Andrea Cancelli, Massimo Bertoli, Eugenia Gianni, Teresa L’Abbate, Giancarlo Zito, Franca Tecchio.
- View poster
2017-23:
- 🌐 Honorary Senior Research Fellow – Birmingham University, UK.
2016:
- 🎓 NeuroImage Editors’ Choice Award:
- Recognized for the paper: “Global signal modulation of single-trial fMRI response variability: Effect on positive vs. negative BOLD response relationship.”
🌟 An impressive collection of awards, showcasing Dr. Camillo Porcaro’s outstanding contributions to neuroscientific research and technology.
🧠 Research Interests 🔬🌐 :
- Source identification from electrophysiological recordings 📊
- Cerebral sensorimotor cortical function 🧑💻
- Machine Learning in neuroscience 🤖
- MEG-EEG/fMRI Integration for comprehensive brain mapping 🧠🔗
- Exploration of Resting State Networks (RSNs) 🌀
- Brain Machine Interface (BMI) development and applications 🤝
- Investigation of Functional & Effective Connectivity in the brain 🌐
- Fractal Dimension Analysis for understanding complex brain dynamics 🔄
- Study of Neurodegenerative Pathologies 🧬
A diverse and comprehensive range of research interests, covering various aspects of neuroscience, from basic brain function to applications in neurodegenerative diseases and language processing. 🌐🔬
📚 Publication Impact and Citations :
- 📝 Publications: 98 documents indexed in Scopus.
- 📊 Citations: A total of 2,357 citations for his publications, reflecting the widespread impact and recognition of Prof. Camillo Porcaro’s research within the academic community.
- All Time:
- Citations: 3233 📖
- h-index: 35 📊
- i10-index: 71 🔍
- Since 2018:
- Citations: 2103 📖
- h-index: 25 📊
- i10-index: 66 🔍
👨🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬
Publications ( Top Note ) :
1. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
. Published in Clinical Neurophysiology in 2004 with 322 citations.
2. Detecting large‐scale networks in the human brain using high‐density electroencephalography
. Published in Human brain mapping in 2017 with 155 citations.
3. Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual–auditory cortices and default-mode network
. Published in Neuroimage in 2013 with 134 citations.
4. Electroencephalographic fractal dimension in healthy ageing and Alzheimer’s disease
. Published in PloS one in 2016 with 116 citations.
5. An information theoretic approach to EEG–fMRI integration of visually evoked responses
. Published in Neuroimage in 2010 with 77 citations.
6. Removing speech artifacts from electroencephalographic recordings during overt picture naming
. Published in Neuroimage in 2015 with 75 citations.
7. Intrinsic variability in the human response to pain is assembled from multiple, dynamic brain processes
. Published in Neuroimage in 2013 with 72 citations.
8. High-gamma band activity of primary hand cortical areas: a sensorimotor feedback efficiency index
. Published in Neuroimage in 2008 with 68 citations.
9. Cortical short-term fatigue effects assessed via rhythmic brain–muscle coherence
. Published in Experimental brain research in 2006 with 67 citations.
10. Multimodal functional network connectivity: an EEG-fMRI fusion in network space
. Published in PloS one in 2011 with 61 citations.
