جست‌وجوی استاد و پژوهشگر

• Wireless sensor networks
• Internet of Things (IoT)
• Air pollution monitoring
• +۱۱ مورد دیگر

Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .

Angelo Spognardiمشاهده پروفایل

دانشیار

• Information Security
• Social Media Fake Phenomena
• Network Security
• +۵ مورد دیگر

Angelo Spognardi is an Associate Professor in the Department of Computer Science at Sapienza University of Rome, leading the Network Security Lab group since March 2020. He teaches courses including Practical Network Defense and Programming Unit 2 for Computer Science and Cybersecurity programs. His research spans information security , with emphasis on fake phenomena in social media , fake content analysis in review systems, adversarial machine learning , and network security for resource-constrained devices . His work integrates bio-inspired models for bot detection and focuses on resilient metrics against disinformation campaigns. Recent publications explore LLM-powered bot detection and IPv6 security. He leads the Prebunking research project predicting coordinated inauthentic behaviors in social media. His lab promotes initiatives like CyberX Mind4Future , offering cybersecurity training with virtualized labs and hackathons. Master's students in Cybersecurity under his guidance achieve 100% placement with top salaries in Italy. Spognardi maintains active collaborations with the Sysma group at IMT Lucca and previously worked with DTU IoT Center and CNR's Institute of Informatics and Telematics. His industry impact includes frameworks like SafeDroid for Android malware detection and analyses of IoT broker vulnerabilities.

• Machine Learning
• Recommender Systems
• Social Media Analysis
• +۵ مورد دیگر

Prof. Fabio Gasparetti is a tenured Full Professor at the Department of Civil, Computer and Aeronautical Engineering of the University of Rome 3 , Italy. His academic profile spans Machine Learning , Recommender Systems , and Educational Technology , with a strong focus on Cultural Heritage digitization and Social Media analytics. He is affiliated with the university's AI Lab (a website currently under construction). Email: fabio.gasparetti@uniroma3.it Phone: 0657333212 Location: Via Vito Volterra 62, Rome Research Interests revolve around: Contextual Recommender Systems for cultural and educational domains Social Network Mining for community detection and user modeling Machine Learning Applications in aerospace engineering and e-learning Temporal Analysis of MOOC dynamics and behavioral patterns Prerequisite Modeling for educational content sequencing Cultural Ecosystems in digital pandemic contexts Recent Publications (2021-2025) demonstrate interdisciplinary synergy between Computer Science and Humanities domains, particularly in: Machine Learning for aerospace physics Multimodal LLMs in art interpretation Social data-driven cultural personalization Graph-based educational community monitoring Cross-platform museum positioning Migration discourse analysis

Carla Limongelliمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Learning Management Systems
• Concept Mapping
• +۶ مورد دیگر

Carla Limongelli is an Associate Professor at Roma Tre University's Department of Civil, Computer and Aeronautical Engineering within the School of Engineering. Her academic work bridges computer science with educational applications, focusing on intelligent systems for learning environments. Her research interests center on artificial intelligence applications in education, with particular expertise in concept mapping systems, learning management platforms, and technology-enhanced museum experiences. Dr. Limongelli has developed innovative approaches to adaptive learning, social robotics in educational contexts, and multimodal learning analytics that track both physiological responses and behavioral patterns. Her recent publication trends reveal a strong focus on leveraging large language models for educational purposes, with increasing attention to multimodal applications combining visual, textual, and physiological data streams. This work spans from automated question generation to social robot interactions in museum settings. Dr. Limongelli has contributed significantly to the development of systems that support teachers in course building, concept map creation, and personalized learning path configuration, with applications extending from traditional educational settings to cultural heritage environments.

Luca Fanucciمشاهده پروفایل

استاد

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +۷ مورد دیگر

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

Alessandro Giuseppiمشاهده پروفایل

استادیار

• Intelligent Control Systems
• Network Control
• Smart Networks
• +۴ مورد دیگر

Alessandro Giuseppi is an Assistant Professor in Tenure Track at the University of Rome La Sapienza's Department of Computer, Control, and Management Engineering (DIAG). He leads research in intelligent control systems and smart networks at the Network Control Laboratory, while serving as CTO of the startup Automation Intelligence and Control (AICO). As Associate Editor for IEEE Transactions on Automation Science and Engineering and International Journal of Control, Automation, and Systems , he bridges academic research with practical applications. M.Sc. & Ph.D. in Automatic Control from La Sapienza National Scientific Qualification for Associate Professor (2023) Active in EU/National funded projects since 2016 His research spans intelligent systems, network control, and AI integration in automation. Publications emphasize federated learning, deep learning applications, and control theory advancements across domains like autonomous vehicles, healthcare, and industrial automation. Key awards include the Minerva Prize (twice) and Telespazio's T-TeC. Recent publications address: (1) Federated learning with adaptive topologies, (2) Healthcare AI for diabetes management and portal hypertension diagnosis, (3) Industrial AI for manufacturing quality control, and (4) Smart network control in 5G/6G telecommunications. 2023 Premio Minerva - Best Postdoctoral Researcher 2021 Premio Minerva - Best PhD Candidate 2021 Best ETRI Journal Paper 2020 Telespazio Technology Contest Winner As course instructor, he teaches Intelligent and Hybrid Control, Automazione, and Laboratorio di Automatica. His leadership extends to co-founding startup AICO and collaborating with CRAT research consortium on Horizon Europe projects.

• Artificial Intelligence
• Machine Learning
• Computer Science
• +۳ مورد دیگر

Domenico Amato is a Researcher (INFO-01/A) at the University of Palermo in the Department of Mathematics and Computer Science . He holds regular office hours on Mondays from 3:00 PM to 4:00 PM at Via Archirafi 34, Room 203, Second Floor. His research focuses on machine learning, biomedical image analysis, and data structure optimization. His recent work includes: Explainable AI for medical imaging (brain MRIs, histopathology) Graph Neural Networks in biomedical applications Development of Learned Indexes and efficient search algorithms Deep learning applications in data analysis and classification The trends in his publications show a strong emphasis on: Medical imaging analysis (gliomas, diabetic maculopathy, histopathology) Neural network interpretability and transparency Optimization of data structures through machine learning techniques Applications of AI in both healthcare and fundamental computer science

• Computer Science
• Image Processing
• Computer Vision
• +۳ مورد دیگر

Cesare Fabio Valenti is an Associate Professor at the University of Palermo, Department of Mathematics and Computer Science. He teaches courses in Informatics, including Digital Image Analysis , Artificial Vision , and Operating Systems , with office hours available by appointment via email. His research focuses on Computer Vision Digital Image Analysis Operating System Design Software Engineering Contact: cesare.valenti@unipa.it

Tomaso Poggioمشاهده پروفایل

استاد

• Computational Neuroscience
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Tomaso Poggio is the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT) and holds a position at the Artificial Intelligence Laboratory. He serves as Co-Director of the Center for Biological and Computational Learning (CBCL) and is an Investigator at the McGovern Institute for Brain Research, a role he assumed in 2000 after joining the MIT faculty in 1981 following a decade at the Max Planck Institute for Biology and Cybernetics in Tubingen, Germany. A foundational figure in computational neuroscience, Poggio pioneered models of the fly's visual system and human stereovision, introduced regularization theory to computational vision, and made seminal contributions to the biophysics of computation and learning theory. His research bridges neuroscience and artificial intelligence, with significant impact on deep learning, pattern recognition, and computational vision. He is recognized as one of the most cited researchers in his field due to his influential model of visual cortex recognition. Dr. Poggio's distinguished honors include: the Otto-Hahn-Medaille Award of the Max-Planck-Society the Max Planck Research Award (with M. Fahle) from the Alexander von Humboldt Foundation the MIT 50K Entrepreneurship Competition Award the 2003 Gabor Award the 2009 Okawa prize He holds memberships in the Italian Academy of Sciences as a Foreign Member and the American Academy of Arts and Sciences as a Fellow. His leadership at CBCL and the McGovern Institute drives interdisciplinary research integrating biological principles with computational models to advance artificial intelligence and neural understanding.

Antonio Torralbaمشاهده پروفایل

استاد

• Ambient Assisted Living
• Computational Intelligence
• Deep Learning
• +۱ مورد دیگر

Antonio Torralba is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), affiliated with the College of Engineering. He received his telecommunications engineering degree from Telecom BCN, Spain, in 1994, and his Ph.D. in signal, image, and speech processing from the Institut National Polytechnique de Grenoble, France, in 2000. His research interests span Deep Learning , Machine Learning and Pattern Recognition , Computational Intelligence , and Ambient Assisted Living , focusing on advancing computer vision and artificial intelligence systems. Prof. Torralba has received prestigious honors, including the 2008 NSF Career award, a best student paper award at CVPR 2009, and the 2010 J. K. Aggarwal Prize from the International Association for Pattern Recognition. He has held leadership roles such as Program Chair for CVPR 2015 and Associate Editor of the International Journal in Computer Vision. 2008 National Science Foundation (NSF) Career award Best student paper award at CVPR, 2009 2010 J. K. Aggarwal Prize from IAPR

Josef Kittlerمشاهده پروفایل

استاد

• Pattern Recognition
• Machine Learning
• Biometrics
• +۶ مورد دیگر

Professor Josef Kittler is a distinguished academic at the University of Surrey, where he serves as Professor and heads the Department of Electronics within the Faculty of Engineering and Physical Sciences. He founded the Centre for Vision, Speech and Signal Processing (CVSSP), which has grown into a major research hub with over 100 researchers. Kittler joined the university in 1986 after five years at EPSRC Rutherford Appleton Laboratory and prior research fellowships at Cambridge, Oxford, Southampton, and ENST Paris. His research spans Pattern Recognition, Machine Learning, Biometrics, Signal Processing, and Cognitive Vision, with significant contributions to Deep Learning and Ambient Assisted Living. His prolific output includes over 700 scientific publications and the seminal textbook Pattern Recognition: A Statistical Approach (Prentice Hall). As Series Editor of Springer Lecture Notes in Computer Science, he shapes discourse across computer vision and signal processing disciplines. Professor Kittler's exceptional contributions are recognized through: KS Fu Prize (2006) for outstanding pattern recognition research Honorary Doctorates from University of Lappeenranta (1999) and Czech Technical University (2007) IET Faraday Medal (2008) EURASIP Fellow designation (2009) His leadership extends to serving as President of the International Association for Pattern Recognition (1994-1996) and co-founding OmniPerception Ltd., demonstrating sustained impact across academia and industry through the CVSSP research ecosystem.

Jiri Matasمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Visualization and Computer Graphics
• +۵ مورد دیگر

Jiri Matas is a Professor at the Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University in Prague. He holds a PhD from the University of Surrey (UK, 1995) and has published over 200 peer-reviewed papers, accumulating ~34,000 Google Scholar citations (h-index 65) and ~13,000 Web of Science citations (h-index 43). Education: PhD in Computer Science (University of Surrey, 1995) His research spans computer vision, image processing, and artificial intelligence, focusing on visual tracking, object recognition, image matching and retrieval, sequential pattern recognition, and RANSAC-type optimization methods. His work has been recognized with multiple best paper awards at premier conferences like BMVC, ACCV, and ICDAR. Academic Leadership: He has co-chaired major conferences (ECCV 2004/2016, CVPR 2007), served on the editorial board of the International Journal of Computer Vision (IJCV), and acted as Associate Editor-in-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Additionally, he contributed to the European Research Council (ERC) computer science panel. Scientific Awards: Best paper prize at British Machine Vision Conference 2002 Best paper prize at British Machine Vision Conference 2005 Best paper prize at Asian Conference on Computer Vision 2007 Best paper prize at International Conference on Document Analysis and Recognition 2015

Nicu Sebeمشاهده پروفایل

استاد

• Multimedia Information Retrieval
• Human-Computer Interaction
• Computer Vision
• +۵ مورد دیگر

Nicu Sebe is a Professor at the University of Trento, Italy, leading research in multimedia information retrieval and human-computer interaction for computer vision applications. He holds a PhD from Leiden University, The Netherlands, with prior affiliations at the University of Amsterdam and the University of Illinois at Urbana-Champaign. His research expertise encompasses Multimedia Information Retrieval, Human-Computer Interaction, Computer Vision, Pattern Recognition, Machine Learning, Deep Learning, Computational Intelligence, and Ambient Assisted Living, focusing on intelligent systems that bridge human-centered multimedia analysis with advanced visual computing. His professional recognitions include: Fellow of the International Association for Pattern Recognition (IAPR) Senior Member of the Association for Computing Machinery (ACM) Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) Sebe has held pivotal leadership roles in major conferences: General Co-Chair: IEEE FG 2008, ACM ICMR 2017, ACM Multimedia 2013 Program Chair: ACM Multimedia 2007/2011, ECCV 2016, ICCV 2017, ICPR 2020 General Chair: ACM Multimedia 2022 Program Chair: ECCV 2024 He currently serves as Vice Chair of ACM SIGMM (Special Interest Group on Multimedia), driving innovation in multimedia systems and applications.

Bradley Nelsonمشاهده پروفایل

استاد

• Microrobotics
• Nanorobotics
• Biomedical Robotics
• +۵ مورد دیگر

Bradley Nelson is Professor of Robotics and Intelligent Systems at ETH Zurich, serving as Full Professor since 2002 after prior appointments as Assistant Professor at the University of Illinois at Chicago (1995-1998) and Associate Professor at the University of Minnesota (1998-2002). He chaired the Department of Mechanical and Process Engineering from 2005-2007 and currently leads the ETH Electron Microscopy Center (EMEZ). His academic credentials include: B.S.M.E. from the University of Illinois at Urbana-Champaign M.S.M.E. from the University of Minnesota Ph.D. in Robotics from Carnegie Mellon University (1995) Nelson's research pioneers microrobotics and nanorobotics for biological and medical applications, integrating automation, computer vision, and control systems to develop microscale surgical tools and targeted drug delivery systems. His work bridges engineering precision with healthcare innovation, focusing on minimally invasive medical interventions through nanoscale robotic systems. His exceptional contributions are recognized by: McKnight Land-Grant Professorship and Presidential Fellows Award Office of Naval Research Young Investigator and NSF CAREER Awards Robotics and Automation Society Distinguished Lecturer designation Scientific American 50 recognition (2005) for nanotube manufacturing Consecutive Best Paper Awards and RoboCup Nanogram Competition victories (2007, 2009) Through editorial board service and laboratory leadership, Nelson drives advancements in medical robotics while directing the ETH Electron Microscopy Center to enable cutting-edge nanoscale research across disciplines.

Richard D. Braatzمشاهده پروفایل

استاد

• Control Systems
• Automation
• Robotics
• +۵ مورد دیگر

Richard D. Braatz is the Edwin R. Gilliland Professor at the Massachusetts Institute of Technology (MIT), focusing on control theory and its applications in biomedical, pharmaceutical, energy, and nanotechnology systems. He holds a PhD and MS from the California Institute of Technology and has held academic positions at the University of Illinois at Urbana-Champaign and Harvard University. He is a Keynote Speaker at ICINCO 2016. Research Interests: Spanning Automation , Control Systems , Robotics , and Computer Vision , with applications in Biomedical Engineering , Pharmaceutical Engineering , Energy Systems , and Nanotechnology . Collaborations with over 20 companies, including IBM, DuPont, Novartis, and United Technologies Corporation, highlight his commitment to translating research into practice. Scientific Awards and Honors: Donald P. Eckman Award (American Automatic Control Council) Curtis W. McGraw Research Award (Engineering Research Council) IEEE Control Systems Society Transition to Practice Award Technical Innovation Award (International Society of Automation) Fellow of IEEE Fellow of IFAC Fellow of the American Association for the Advancement of Science Advising and Industry Engagement: As a faculty member at MIT, he has advised and collaborated with numerous industry partners, though specific student names and grant details are not included in the provided text.