جست‌وجوی استاد و پژوهشگر

• Data Science
• Computer Vision
• Artificial Intelligence
• +۷ مورد دیگر

Alessandro Sebastian Russo is a PhD student in Computer and Systems Engineering at Politecnico di Torino , with a focus on scalable architectures for neurosymbolic AI in scene interpretation and generation. He is affiliated with the Department of Control and Computer Science (DAUIN) and part of the GRAINS group (Graphics and Intelligent Systems). His academic role includes Lecturer responsibilities as an external teaching assistant. His educational background includes a Master's degree in Data Science (2021) from Politecnico di Torino, with thesis work on Machine Learning and Transformer Neural Networks. Prior to his PhD, he completed a one-year research fellowship in medical machine learning. Russo's research bridges neural and symbolic AI through Logic Tensor Networks (LTNs) , aiming to enhance scene understanding for autonomous driving applications. Current work explores integration of Large Language Models (LLMs) and Commonsense Knowledge Bases to improve logical consistency. His teaching experience includes collaborations on courses in Mobile Application Development and Innovation Management . Key publications span medical imaging ( Medical Image Analysis ), neurosymbolic learning (NeSy workshops), and computer vision (IJCNN, ISVC). He is also an inventor on the national patent Deep Neural Networks for Multi-View Mammography Classification . No scientific awards are currently listed in the available information.

• Work and Organizational Psychology
• Human Factors
• AI and Robotics in Human Systems
• +۴ مورد دیگر

Luca Pietrantoni is a Full Professor of Work and Organizational Psychology at the Department of Psychology 'Renzo Canestrari', University of Bologna. He coordinates the 'Human Factors, Risk and Safety' research group and actively participates in EU Horizon projects like SESTOSENSO and TUPLES, focusing on AI and robotics in human systems. His research spans mental health promotion in workplaces, cognitive ergonomics, and sustainable commuting. Education: PhD in Health Psychology (University of Florence, 2000) Postdoctoral fellowship in Social Psychology (University of Parma) Psychology Degree (University of Padua, 1995 with top honors) Research Interests: Human factors in AI/robotics integration Workplace mental health interventions Climate change adaptation strategies Cognitive ergonomics in manufacturing Grants & Projects: Principal Investigator in Horizon Europe projects (SESTOSENSO, TUPLES) Coordinator of H-WORK (mental health in SMEs/public workplaces) EU-funded studies on exoskeletons, coastal safety, and cyclist safety Labs/Teams: Human Factors, Risk and Safety research group.

• Educational Psychology
• Lifespan Development
• Digital Revolution
• +۵ مورد دیگر

Elvis Mazzoni is an Associate Professor in Developmental and Educational Psychology at the University of Bologna's Department of Psychology 'Renzo Canestrari', where he also serves as Director of the Second Cycle Degree in School and Community Psychology. His research focuses on Educational Psychology, Lifespan Development, Digital Revolution, Problematic Internet Use, and Robotics in Human Development. He holds a PhD in Social, Developmental, and Organizational Psychology (2003) and has completed certifications such as the DSES-LEARN (2008) and training in informatics (1987). He has led grants including the EU H2020 Catch-EyoU project (2015-2018) and contributed to notable awards like the Best Creative Technology Award (2016) and Outstanding Paper Award (2015). His research spans digital wellness, virtual reality applications, and AI in education. He is affiliated with organizations like the Society for the Study of Emerging Adulthood (SSEA) and serves on editorial boards for journals such as Addictive Behaviors and the European Journal of Psychology of Education. Elvis advises students on topics ranging from social media addiction to robotics in autism therapy. His teaching includes courses like 'Counselling in Schools' and 'Psychology of Socio-Cognitive Development'. He collaborates internationally through Erasmus+ agreements with institutions in France, Portugal, and beyond.

• Digital Transition
• Human Factors
• Safety and Risk Management
• +۶ مورد دیگر

Marco De Angelis is a Senior Assistant Professor (fixed-term) at the Department of Psychology 'Renzo Canestrari', University of Bologna. His research focuses on digital transition, human factors, occupational safety, and mental health at work. He leads the H-WORK project, a EU-funded initiative promoting mental health in SMEs and public workplaces through multilevel interventions. He is also involved in projects like Digi-B-Well, addressing digital wellbeing and SME digitalization. Education: PhD in Psychology (2019, University of Bologna), Master's in Work and Organizational Psychology (2013), and Bachelor's in Psychology (2011, Sapienza University of Rome). Professional experience includes roles in the Modena Local Health Authority (2013–2014) and the CE.TRANS research group (2014–2015). Research interests emphasize digital interventions for mental health, AI integration in workplaces, safety systems design, and compassionate healthcare organizations. He coordinates the LAV.OR.I.O. Research Lab, exploring work-related stress, organizational innovation, and human factors. Teaching activities span international programs in Work-Organizational Psychology, Chemical Innovation, and International Development. He supervises student theses on digital mental health, AI at work, and Industry 5.0 cognitive workload. Membership includes editorial boards for the International Journal of Environmental Research and Public Health , Human Factors and Ergonomics Society - Europe, and associations like EAWOP, SIOP, and EAOHP. He contributes to over 100 peer-reviewed articles and conference proceedings, focusing on workplace safety, technology acceptance, and mental health policies.

• Performing Arts
• Asian Cultural Studies
• Theatre Studies
• +۴ مورد دیگر

Matteo Casari is an Associate Professor at the University of Bologna's Department of the Arts. He specializes in Asian performance practices, particularly Japanese theatre, and explores intersections between performance and technology, including robotics in the arts. He directs the Master's Programme in Performing Arts Entrepreneurship and co-founded the book series Arti della Performance: orizzonti e culture . His research includes organizing conferences such as Wabi Sabi Cyber and Performing robots . Education: PhD in Theatrical and Cinematographic Studies (University of Bologna, 2006). Research Interests: Asian performance traditions, technology in performance, cultural anthropology, and interdisciplinary art practices. His work bridges traditional forms like Nō, Kyōgen, and Bunraku with contemporary innovations, emphasizing Japan's influence and cross-cultural dialogues. Recent focus includes robotics' aesthetic and cultural implications in theatre. Advising/Grants: Coordinates the 'Performing robots' research group. Active in cultural promotion, including founding the National Festival of Japanese Culture, Nipponica . Labs/Teams: Leading the interdisciplinary research initiative Performing robots , exploring human-machine collaboration in performance.

• Cognitive Psychology
• Experimental Neuropsychology
• Affordances
• +۷ مورد دیگر

Claudia Scorolli is an Associate Professor at the University of Bologna's Department of Philosophy and Communication Studies, specializing in General Psychology. She leads the XR-GRACE research group focused on Extended Reality applications for creativity and sustainability. As coordinator of post-graduate professional internships in Cognitive Psychology and Experimental Neuropsychology, she bridges academic training with professional practice. Her interdisciplinary work spans cognitive science, embodied cognition, and human-AI interaction, with notable contributions to affordance theory, creative ontology development, and VR applications in social sensitivity. Education includes a Ph.D. in Cognitive Science (2009), PsyD in Psychotherapy (2014), and advanced training in psychodrama. She has held senior roles in EU projects like MEETINGDEM (dementia care support programs) and ROSSI (robotic communication). Her research explores how materials, language, and technology shape perception and creativity, with a focus on sustainability and cultural factors. She maintains active collaborations in AI ethics, XR aesthetics, and embodied language processing. Awarded Full Professor qualification (2021-2030), she advises on Erasmus+ mobility and teaches research methods in cognitive science. Her work appears in venues like Frontiers in Psychology and IEEE VR, with recent emphases on VR-induced empathy, AI creativity attribution, and sustainable material perception.

Pierluigi Boveمشاهده پروفایل

دانشیار

• Surgical Oncology
• Minimally-Invasive Surgery
• Urologic Oncology
• +۲ مورد دیگر

Pierluigi Bove is an Associate Professor in Urology at the University of Rome Tor Vergata, specializing in minimally-invasive surgical oncology. He leads research on urologic cancers and novel surgical technologies, with over 4,500 major surgical procedures performed. His clinical expertise includes robotic surgery, laparoscopic techniques, and urologic oncology. His research program focuses on minimally-invasive surgical oncology for prostate, kidney, and bladder cancers. Current investigations include randomized clinical trials comparing surgical techniques and analyses of genetic/epigenetic biomarkers for urological cancers. Key research areas include surgical outcomes optimization, treatment efficacy studies, and diagnostic protocol development. Publications demonstrate a strong focus on urologic oncology innovations, with recent articles exploring surgical techniques, diagnostic imaging advances, and treatment efficacy studies. Trends show increasing specialization in robotic surgical applications and biomarker research for personalized urologic care. He maintains academic collaborations through multiple research groups including Torvergata Oncoscience Research (TOR) and serves on surgical advisory boards for medical device companies.

• Organizational Studies
• Cultural Management
• Digital Humanities
• +۳ مورد دیگر

Luca Pareschi is an Associate Professor at the University of Rome Tor Vergata, specializing in Organization Studies. He teaches courses on HR Analytics, Digital Transformation, and Cultural Management in both undergraduate and graduate programs. His research focuses on organizational dynamics in cultural industries, public policy analysis, and innovative applications of topic modeling in humanities research. Key research interests include accessibility regulations in public spaces, heritage craft preservation, EU regional policy communication, and the impact of robotics on workplace organization. He actively contributes to interdisciplinary projects like PERCEIVE (analyzing EU cohesion policies) and MITAO (software for humanities text analysis). Recent publications explore tensions between tradition and innovation in cultural festivals, resistance to accessibility reforms, and the role of discourse in shaping organizational identities. His work bridges sociological theory with practical policy implications, particularly in areas of disability rights and small business compliance. He has served as a researcher on multiple EU-funded initiatives and maintains an active teaching portfolio across multiple academic programs.

• Real-Time Systems
• Embedded Systems
• Artificial Intelligence
• +۴ مورد دیگر

Giorgio C. Buttazzo is a Full Professor specializing in real-time systems, embedded computing, and AI integration. His research focuses on scheduling algorithms, cyber-physical systems, and security mechanisms for time-critical applications. He has contributed significantly to the IEEE community, including the 2023 IEEE TCCPS Early-Career Award. Research Interests: Real-Time Scheduling and Resource Management Embedded Systems and Energy Efficiency AI Security and Adversarial Robustness Cyber-Physical Systems and Robotics Key Publications (2023-2024) explore topics like memory integrity for unsafe languages, adversarial attack defenses, and dataset generation for autonomous systems. His work bridges theoretical foundations with practical implementations in FPGA-based hardware and heterogeneous platforms. Awards: Recipient of the IEEE TCCPS Early-Career Award 2023 for contributions to cyber-physical systems research. Advising/Grants: Extensive collaboration on EU-funded projects and industry partnerships, though specific grants/students are not explicitly listed in the provided data.

Maurizio Poliمشاهده پروفایل

مدرس ارشد

• Business Analytics
• Risk Analysis
• Machine Learning
• +۶ مورد دیگر

Maurizio Poli is a Senior Lecturer in Decision Sciences & Business Analytics at SDA Bocconi School of Management and a Contract Professor at Bocconi University. He has held roles including Director of the Global Executive MBA (GEMBA) and leadership in Post Graduate Programs. His expertise spans business analytics, risk analysis, machine learning, and project management. He has authored works on decision science applications and predictive analytics, published in journals like Economia & Management and Politeia . Awards include Best Professor accolades from SDA Bocconi in 2011 and 2007. Poli has consulted for multinational firms in retail, energy, and banking sectors, and served as a Visiting Professor at institutions such as WU Vienna, CBS Chicago, and Fudan University. He holds a degree from Bocconi University and completed the Stern School of Business ITP in 2000. Research focuses on quantitative techniques in financial planning, corporate performance control, and innovative forecasting. He has pioneered training programs in data science and business analytics, including the Executive Program in Business Analytics (EPBA) in Mumbai. Current engagements include directing the program Competenze per vendere Analizzare i dati per migliorare le performance sui clienti and leading courses on AI-driven business strategies. Key contributions include integrating data-driven methodologies into executive education and corporate training. His work bridges academic research with practical business applications, emphasizing tools like Excel for business decision-making and the ethical use of predictive analytics.

Linda Paternoمشاهده پروفایل

استادیار

• Soft Robotics
• Bio-inspired Robotics
• Biomedical Engineering
• +۳ مورد دیگر

Linda Paterno is an Assistant Professor at the Department of Surgical Robotics and Allied Technologies within the BioRobotics Institute of the Sant’Anna School of Advanced Studies . Her work centers on soft and bio-inspired robotics for biomedical applications, emphasizing safe human-robot interaction. MSc in Biomedical Engineering, University of Pisa (2016) PhD in Biorobotics, BioRobotics Institute (2020) Her research focuses on variable stiffness robotics and smart materials , enabling compliant prosthetic devices that adapt to users' physiological changes. She leads work in the MOTU++ project (INAIL-funded robotic prosthesis socket) and the MAPWORMS project (Europe-funded worm-inspired soft robots). Recent publications highlight her contributions to soft prosthetic sockets , implantable actuators , and environmental stimulus-responsive robotics . Key themes include user-centered design , adaptive materials , and clinical translation . She collaborates closely with multidisciplinary teams, including researchers like Maria Grazia Polizzotto , Ahmed Zohaib Zaidi , and Arianna Menciassi , advancing technologies for transfemoral and trans-humeral prosthetics .

Lorenzo Vannozziمشاهده پروفایل

استادیار

• Biomaterials for tissue engineering
• Muscle cell-based actuators
• Piezoelectric materials in regenerative medicine
• +۳ مورد دیگر

Lorenzo Vannozzi is an Assistant Professor at The BioRobotics Institute of Scuola Superiore Sant’Anna, specializing in biomaterials for tissue engineering and piezoelectric materials for regenerative medicine. He earned his Ph.D. in Biorobotics in 2017 from the University of Pisa after completing his Master's thesis cum laude in Biomedical Engineering. Research Interests: Design of muscle cell-based actuators for biohybrid robotics Development of piezoelectric hydrogels for cartilage regeneration Smart responsive ultra-thin films for localized therapies 3D bioprinting of regenerative materials Recent Publication Trends: His work focuses on biodegradable piezoelectric materials (2025), ultrasound-stimulated cartilage repair (2024-2025), arthroscopic hydrogel delivery systems (2024), and biohybrid actuator integration (2023-2025). These publications demonstrate cross-disciplinary innovation in biomedical robotics, regenerative medicine, and smart material design. Collaborative Projects: He collaborates with Prof. Leonardo Ricotti's "Regenerative Technologies" group and has contributed to novel steerable catheters actuated by muscle cells (BioMeld project, 2023), ultrasound-responsive nanomaterials (2018), and self-assembling polymeric structures (2013-2015).

Silvia Rossiمشاهده پروفایل

دانشیار

• Multi-agent Systems
• Human-Robot Interaction
• Cognitive Architectures
• +۵ مورد دیگر

Silvia Rossi is an Associate Professor at the Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Italy. She co-manages the PRISCA Lab focused on Intelligent Robotics and Advanced Cognitive Systems and coordinates the national project UPA4SAR (User-centered Profiling and Adaptation for Socially Assistive Robotics). Her research emphasizes Multi-agent Systems, Human-Robot Interaction, and Cognitive Architectures. She holds an M.Sc. in Physics from the University of Naples Federico II (2001) and a Ph.D. in Information and Communication Technologies from the University of Trento (2006). Professional experience includes roles at the ITC-irst (Italy), Institute of Cybernetics E. Caianiello (CNR, Italy), and visiting research at Oregon Health and Science University (USA). Research interests span socially assistive robotics, user profiling, and emotion recognition. Key contributions include adaptive robot behaviors for healthcare and education, transparent HRI, and multi-agent systems for smart environments. She teaches courses such as Multi-agent Systems, Distributed Intelligence, and Programming I. Her work integrates AI, robotics, and human-centered design to address challenges in assistive technologies and human-robot collaboration. Publications focus on socially assistive robotics, emotion-aware systems, and transparent AI. Projects include field trials of social robots for elderly care and pediatric emotional support. Awards and recognitions are not explicitly listed but reflect her leadership in socially impactful robotics research.

Alessandro Farinelliمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Multi-Agent Systems
• +۴ مورد دیگر

Alessandro Farinelli is a Full Professor at the University of Verona's Department of Computer Science. His research focuses on Artificial Intelligence, Robotics, and Cyber-Physical Systems, with a strong emphasis on multi-agent coordination, decentralized optimization, and reinforcement learning. He has led numerous national and international projects in AI and robotics, contributing to high-impact journals and conferences like AAMAS, IJCAI, and IROS. His work bridges theoretical advancements with practical applications in logistics, environmental monitoring, and disaster response. Farinelli's teaching spans Foundations of Artificial Intelligence, Programming Lab II, and specialized courses in Robotics and Autonomous Systems. He has been a key contributor to benchmarking frameworks like RMASBench for urban search and rescue scenarios. His research integrates formal verification methods with reinforcement learning to ensure safety in autonomous systems, particularly in challenging environments like aquatic navigation and medical robotics. His projects include leading the EU-funded INTCATCH for catchment management and collaborating on energy-saving solutions for wastewater systems. Farinelli's contributions also extend to anomaly detection in industrial robots and safe policy synthesis using inductive logic programming.

Alejandro Luis Callaraمشاهده پروفایل

پژوهشگر

• Biomedical Signal Processing
• Neuroimaging
• Brain Connectivity
• +۶ مورد دیگر

Alejandro Luis Callara serves as a postdoctoral researcher at the University of Pisa's Research Center "E. Piaggio," specializing in biomedical signal and image processing methodologies for neuroscience applications. His work bridges engineering and cognitive science through advanced computational approaches to physiological data analysis. His academic foundation includes: Bachelor’s Degree in Biomedical Engineering (2012), University of Pisa Master’s Degree in Biomedical Engineering (2015), University of Pisa PhD in Information Engineering (2019), University of Pisa Callara's research centers on developing analytical pipelines for EEG and fMRI data to map brain connectivity networks, with particular expertise in autonomic nervous system interactions during emotional processing. He actively contributes to the Brain matters team's development of neuronal segmentation tools for confocal microscopy data, extending his methodological focus to multi-scale tissue imaging. His technical proficiency spans directed coherence analysis, dynamic causal modeling, and thermal response quantification. Analysis of his 15 most recent publications (2024-2025) reveals three dominant research trajectories: (1) autonomic physiology investigations examining parasympathetic-sympathetic coupling during emotional tasks using EDA and HRV metrics; (2) innovative neuroimaging techniques for brainstem fMRI analysis and sparse connectivity mapping; and (3) multimodal integration studies exploring olfactory-visual-auditory interactions in affective disorders through VR/AR paradigms. Methodologically, his work consistently employs advanced signal processing frameworks like PCA-based partial correlation and ThermICA for multivariate analysis. Within the Research Center "E. Piaggio," Callara collaborates across bioengineering and robotics initiatives, particularly through the Brain matters team where he applies computational neuroscience to neuronal morphology analysis. His current projects focus on refining contactless stress classification systems using thermal imaging and developing immersive VR scenarios for anxiety disorder research, demonstrating strong translational potential for clinical applications.