Fiorenza Colloridi is a Researcher at the Department of Maternal, Infant and Urological Sciences, Sapienza University of Rome. Her work focuses on molecular mechanisms in pediatric populations, particularly oxidative stress and neuroinflammation in genetic disorders. Key research areas: Pediatrics, Medical Genetics, Obstetrics Recent publications highlight clinical flow-charts for at-risk pregnancies and molecular pathways in chromosomal anomalies Her studies bridge maternal health outcomes with pediatric neurodevelopmental conditions, emphasizing early diagnostics and multidisciplinary management approaches.
Giulia Bivona serves as an Associate Professor at the University of Palermo's School of Medicine and Surgery within the Department of Biopathology and Medical Biotechnology, where she leads the Clinical Biochemistry Section. Her extensive teaching portfolio spans Neuroscience, Medicine and Surgery, Dentistry, and Dietetics programs from 2009-2026, with core responsibilities in Clinical Biochemistry and related disciplines across undergraduate and professional health curricula. Her research centers on neurodegenerative disease biomarkers, particularly Alzheimer's disease subtyping through cerebrospinal fluid proteome profiling and machine learning approaches. She investigates vitamin D's immunomodulatory role in multiple sclerosis pathogenesis, CX3CL1 pathway interactions in neuroinflammation, and monocyte distribution width as a sepsis diagnostic tool. Current work integrates neuroimaging (1H-MRS, fMRI) with immune profiling to decode disease mechanisms in Alzheimer's, multiple sclerosis, and neonatal conditions. Analysis of her 2022-2025 publications reveals three dominant research trajectories: (1) Alzheimer's biomarker discovery using multi-omics and AI-driven classification of disease subtypes, (2) neuroimmunological intersections between vitamin D, Epstein-Barr virus, and autoimmune pathways in multiple sclerosis, and (3) hematological biomarkers (especially MDW) for rapid sepsis detection in emergency settings. Her methodological expertise bridges clinical biochemistry, neuroimaging, and machine learning applications in diagnostic development.
Manuela Berlingeri is a Full Professor at the University of Urbino Carlo Bo, affiliated with the Department of Humanities (DISTUM). She teaches courses in psychometrics, clinical neuropsychology, and research methodology, focusing on adult and child neuropsychological assessment tools in clinical and forensic contexts. Current courses (2025/2026): Research Methodology, Clinical Neuropsychology of Adults and Development, Psychometrics, Clinical and Forensic Neuropsychological Assessment Tools, Adult and Child Neuropsychological Assessment. Coordinates both undergraduate and graduate-level teaching in Psychology - Sciences and Techniques (M-PSI/03) and Clinical Psychology (M-PSI/08).
Alessandro Vitriolo is an Affiliate Scientist in the Testa Group and a Research Fellow at the Max Delbrück Center for Molecular Medicine. His research spans epigenetics, neurodevelopment, and human evolution, with expertise in bulk and single-cell omics data analysis. He previously worked in computational structural biology for five years, focusing on drug development and repurposing. Current Work: Developing methods to integrate Genome Architecture Mapping (GAM) with single-cell multiomics under Prof. Ana Pombo to study chromatin dynamics in excitatory neurons. Scientific Awards: EMBO Exchange Grant Fellowship recipient. His research bridges neurodevelopmental disorders (e.g., Williams-Beuren and 7q microduplication syndromes) with epigenetic mechanisms, particularly enhanceropathies and chromatin regulation. Recent work explores neuronal differentiation, protein synthesis, and REST-mediated excitability through multi-omics integration. Scientific Contributions: Investigated molecular underpinnings of 7q11.23 copy number variations (CNVs) in neurodevelopmental disorders. Linked self-domestication theories to genomic homology, analyzing cognitive-behavioral phenotypes. Elucidated roles of chromatin modulators in human cognition and neurodevelopmental pathologies.
Raffaello Camoriano is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin. He is also an Affiliated Researcher at the Istituto Italiano di Tecnologia. His academic work spans multiple roles including serving as an Editorial Board Member for MACHINE LEARNING journal (since 2024) and Associate Editor for IEEE ROBOTICS AND AUTOMATION LETTERS (since 2022). He is an active member of IEEE Robotics and Automation Society (since 2024) and ELLIS - European Laboratory for Learning and Intelligent Systems (since 2022). Dr. Camoriano's research focuses on the intersection of artificial intelligence, machine learning, and robotics. His work particularly emphasizes robot learning, incremental/lifelong learning, structured learning, and kernel methods. His research has significant applications in medical robotics, particularly in laser-based skincare procedures and prosthetic control systems. He has developed innovative approaches for federated learning, point cloud processing for robotics, and trajectory generation for humanoid robots. His work bridges theoretical machine learning with practical robotics applications, addressing challenges in resource efficiency, adaptation to changing environments, and human-robot interaction. His recent publications demonstrate a strong trajectory in advancing federated learning techniques, with particular emphasis on resource-efficient personalization and handling heterogeneous data. He has made significant contributions to robotics applications including upper-limb prosthetics using high-density sEMG, autonomous navigation using point clouds, and medical robotics for laser procedures. His work consistently combines theoretical machine learning advances with concrete robotics applications, showing expertise in both domains. Best PhD Thesis Award of the Computational Intelligence Society Italy Chapter 2017 Dr. Camoriano actively supervises PhD students in the Intelligenza Artificiale program, including Stephany Ortuno Chanelo, Andrea Protopapa, and Leonardo Iurada. He has led research projects including the ECML-PKDD 2023 International Workshop 'Adapting to Change: Reliable Learning Across Domains' and the International Workshop 'Learning Meets Model-based Methods for Manipulation and Grasping' (2023). His teaching portfolio includes Fundamentals of Artificial Intelligence, Machine and Deep Learning, and Algorithms and Programming across multiple engineering programs at Polytechnic University of Turin.
Roberta Grassi serves as an Associate Professor in the Department of Foreign Languages, Literatures and Cultures at the University of Bergamo, teaching courses across multiple departments including Modern Foreign Language Teaching, Fundamentals of Language Teaching, Institutions of Linguistics, and English Language Laboratory V for Primary Education Sciences. Her research centers on multilingual educational practices, with particular expertise in translanguaging phenomena in academic contexts. Professor Grassi employs qualitative case study methodologies to investigate how multilingual students leverage their full linguistic repertoires during collaborative writing tasks and classroom interactions. Her work documents significant patterns in language acquisition processes within both primary school and university settings. Translanguaging in academic writing contexts Corrective feedback mechanisms in bilingual classrooms Professional development needs of EMI lecturers Language acquisition in multilingual primary schools Integrated content and language teaching approaches Teacher cognition regarding language pedagogy Analysis of her publication trajectory reveals consistent focus on practical applications of language teaching theories, particularly examining how translanguaging practices support academic success for international students. Her longitudinal studies tracking EMI lecturers' perceived needs before and after specialized training have documented important shifts in instructors' confidence and competence when delivering content courses in English. Professor Grassi's teaching philosophy emphasizes integrated content and language instruction, with specific attention to developing students' metalinguistic awareness and professional language skills for teaching contexts. Her courses implement methodologies including PPP, task-based learning, and CLIL modules while minimizing unnecessary L1-L2 alternation to maximize language exposure.
Francisco Grimaldo Moreno is a Vice Dean and Associate Professor at the School of Engineering, University of Valencia. He also serves as an Associate Researcher at the Laboratory of Agent-Based Social Simulation (LABSS) within the Institute of Cognitive Sciences and Technologies (ISTC) at CNR. Education: BSc and MSc in Computer Science, PhD in Computer Science (Doctoral Dissertation Award), and BSc in Telecommunications from Universitat de València. His research focuses on agent-based modelling/simulation , machine learning , and data analysis/visualization . He directs the Capgemini-UV Chair in innovation in software development and co-leads the PEERE: New Frontiers of Peer Review COST Action. Additionally, he is affiliated with the Catalan Association for Artificial Intelligence and the Spanish Association for the study of Socio-Technical Complex Systems. Scientific Awards: Doctoral Dissertation Award
Gianpaolo Abatecola serves as Full Professor of Business Economics and Management at the University of Rome Tor Vergata within the Faculty of Economics and Department of Management and Law. He concurrently teaches the “Managerial Decision Making Lab” at the European University of Rome, focusing on developing business problem-solving competencies. His international teaching appointments include: Lee University Sheffield University Management School Metropolia Business School Orebro University School of Business Inholland University of Applied Sciences Instituto Superior de Comunicacao Empresarial (ISCEM) Research Focus: Professor Abatecola’s work centers on business adaptation/evolution dynamics, behavioral corporate decision-making, crisis management, and real estate systems. He pioneered co-evolutionary frameworks analyzing organizational survival patterns, executive decision biases, and startup “unicorn” trajectories. His methodology integrates historical case studies with contemporary behavioral theory. Publication Trends: Over the past decade, his 15+ publications reveal consistent emphasis on co-evolutionary perspectives across automotive (Fiat Chrysler), real estate, and startup sectors. Key threads include cognitive distortions in managerial decisions, reverse causality in executive performance, and virtuous public-private partnership development. His work bridges historical analysis with practical business strategy. Scientific Recognition: International Blended Learning Award (Local Winner, Social Sciences & Humanities, 2023) Teaching Innovation: Awarded for developing blended learning methodologies in the Managerial Decision Making Lab, which simulates real-world business problem-solving scenarios through international collaboration frameworks.
Franco Pellerey is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. He serves as Coordinator of the College of Mathematical Engineering and is actively involved in teaching and research coordination activities. Co-organizer of the International School on Stochastic Comparisons (2004) Program Chair for the 14th International Conference on Ordered Statistical Data (2022) Scientific Coordinator for multiple national research projects (BRIC-2024, PRIN) Research Interests : Stochastic orders and their applications in risk theory Dependence notions and positive dependence concepts Reliability theory and actuarial sciences Stochastic processes in engineering contexts Applied statistics for technical systems Scientific Leadership : BRIC-2024 Acoustics Research (2025-2027) Supermodularity in Economic Theory (2002-2004) Continuous Financial Market Models (2001-2003) International Engagements : Full Professor at Turin Polytechnic University in Tashkent (2018-2021) Full Professor at ESCP Europe (2016-2018)
Dr. Silvia De Marchis is an Associate Professor in the Department of Life Sciences and Systems Biology at the University of Turin, with a focus on developmental neurobiology and adult neurogenesis. She is affiliated with the Neuroscience Institute Cavalieri Ottolenghi (NICO) and serves on international relations committees. Research Areas : Neural stem cells, mitochondrial function in neurons, neurodevelopmental disorders (BBSOAS), and olfactory system plasticity. Key Projects : PRIN PNRR 2022 on miR-211 in neuronal aging and PRIN 2022 on NR2F1 regulation of mitochondrial function in neural development. Contact : silvia.demarchis@unito.it | ORCID: 0000-0002-8096-7670 Her research explores how neurogenic niches respond to environmental stimuli (e.g., social behavior, toxins) and genetic factors (e.g., NR2F1/COUP-TFI, Semaphorin7A), with implications for neurodevelopmental disorders and neuroinflammation. She teaches courses in cellular biology and developmental neurobiology to undergraduate students.
Reza Sameni is an Associate Professor at Emory University's Department of Biomedical Informatics and Adjunct Associate Professor at Georgia Institute of Technology's Wallace H. Coulter Department of Biomedical Engineering. He serves as Scientific Director of Emory's Medical Imaging, Informatics, and AI (MIIAI) Core. PhD in Biomedical Engineering (Sharif University of Technology) PhD in Signal Processing & Telecommunications (INPG) MSc in Biomedical Engineering (Sharif University) BSc in Electronics Engineering (Shiraz University) His research spans biomedical signal processing and model-based machine learning, with applications in cardiovascular diagnostics, maternal-fetal health, psychiatry, and global health equity. The Alphanumerics Lab develops explainable AI tools for multimodal physiological monitoring and open-access platforms like OSET. Current article trends focus on AI-driven diagnostics, cross-modal ECG/PCG analysis, edge computing for rural healthcare, and algorithmic reproducibility in biomedical applications. The lab actively recruits graduate students and postdocs. Georgia Institute of Technology (adjunct appointment) Emory University (tenured associate professor) Former Chair at Shiraz University Former Senior Researcher at GIPSA-lab Lab initiatives include: open-source toolboxes (OSET), crowdsourced AI frameworks for arrhythmia detection, and bias mitigation in clinical AI systems. Research integrates FPGA/ embedded systems for biomedical hardware development.
Yuri Borgianni is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano (unibz), Italy. He teaches courses including Technical Drawing, Reverse Engineering & Rapid Prototyping, and Design Creativity. His research focuses on engineering design, product development, and sustainable innovation. Borgianni has established himself as a prominent researcher in design methodology, with particular expertise in TRIZ (Theory of Inventive Problem Solving) and Additive Manufacturing applications. Dr. Borgianni earned his Master's Degree in Mechanical Engineering from the University of Florence in 2005, followed by a Ph.D. in Industrial Engineering from the same institution in 2014. His academic journey has led him to specialize in the intersection of design creativity, sustainable development, and advanced manufacturing technologies, positioning him at the forefront of innovative research in engineering design. Professor Borgianni's research interests span value innovation, ideation within engineering design, creative product development, industrial process re-engineering, and computer-aided innovation. He has made significant contributions to understanding how sustainability principles can be effectively integrated into product design processes. His work often combines theoretical frameworks with practical applications, particularly exploring the potential of Additive Manufacturing for sustainable production. Borgianni has also investigated user experience aspects in design evaluation through advanced methodologies like eye-tracking and virtual reality. His recent publications reveal a strong focus on sustainable design education, manufacturing process selection using machine learning, circular economy implementation in product development, and the application of TRIZ for environmental problem-solving. Borgianni's work demonstrates a consistent trend toward integrating digital technologies with sustainable design principles, with increasing attention to circular economy metrics and the human factors involved in sustainable product evaluation. While specific scientific awards are not prominently mentioned in the available information, Professor Borgianni's extensive publication record (over 160 publications) and his role as editor for special issues on design processes indicate significant recognition within his field. His work has been cited over 50,000 times according to ResearchGate metrics, reflecting substantial impact in engineering design research. Professor Borgianni actively supervises research projects and mentors students in the Faculty of Engineering at unibz. His research has been supported by various grants focused on sustainable product development, additive manufacturing applications, and design methodology innovation. He collaborates extensively with researchers across Europe, particularly in Italy, Germany, and the UK, contributing to international projects that bridge academic research with industrial applications in sustainable manufacturing. At the Free University of Bozen-Bolzano, Borgianni is involved in research initiatives related to sustainable engineering design, working with interdisciplinary teams that combine expertise in mechanical engineering, computer science, and environmental science. His work with the university's engineering faculty contributes to the institution's focus on innovative, sustainable technologies and their practical implementation in industry.
Dr. Ada Ghiggia is an Associate Professor in Clinical Psychology (M-PSI/08) at the Department of Life Sciences, University of Trieste. She serves as a member of the Department's Board, multiple Boards of Studies, and Doctoral Studies Boards for various psychology programs including Psychological Sciences and Techniques and Neural and Cognitive Sciences. Dr. Ghiggia's research focuses on interdisciplinary studies in clinical psychology, particularly in psychosomatics and clinical neuropsychology. Her work spans three main areas: clinical studies on patients with chronic pain, psycho-oncology research examining life quality and psychological stress, and investigations into psychological and cognitive aspects of autism spectrum disorder. As a member of the Clinical Psychology Research Group under Prof. Penolazzi, she contributes to research on typical and atypical development during the lifespan. Her work connects clinical practice with research in psychological assessment and intervention across various patient populations. Dr. Ghiggia actively participates in multiple academic governance structures at the university level, serving on committees for bachelor's, master's, and doctoral programs in psychology, demonstrating her commitment to academic leadership and educational development in her field.
Barbara Penolazzi is an Associate Professor in the Department of Life Sciences (DSV) at the University of Trieste . She serves as a member of the Department's Board, Boards of Studies coordinator/member for Psychological Sciences and Techniques and Clinical Psychology programs, and participates in Doctoral Studies Boards for Neural and Cognitive Sciences (Cycles XXXI–XXXIX). Her research focuses on typical and atypical development across the lifespan , aligning with clinical psychology disciplines. As a member of the Clinical Psychology research group, she contributes to studies on developmental trajectories. Past affiliations include coordination of academic governance bodies and participation in doctoral program committees. She actively engages in teaching staff activities and research group collaborations within DSV.
Emanuele Castano is a Professor at the University of Trento, affiliated with both the Department of Sociology and Social Research and the Department of Psychology and Cognitive Sciences. His research bridges social psychology with cognitive science, focusing on the interplay between fictional narratives and social cognition. Key research themes include theory of mind, emotion recognition, and affective computing Active in experimental psychology and psycholinguistics Develops datasets for facial expression analysis Recent publications demonstrate a strong focus on: How fictional language enhances emotional intelligence Intergroup dynamics during global crises (e.g., pandemic contexts) Ecological approaches to self-perception and agency Computational methods in emotion analysis He maintains active collaborations across disciplines, including computer science (ACM publications) and cognitive neuroscience (Perception journal), while preserving commitment to open-access research through IRIS institutional repository.
