جستجوی استاد راهنمای دانشگاهی

Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .

• Artificial Intelligence
• Machine Learning
• Web Search
• +۷ مورد دیگر

Luca Mannella is a Research Fellow at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. His work spans Cybersecurity , Internet of Things (IoT) , Software Engineering , and Human-Computer Interaction (HCI) . PhD in Computer and Control Engineering from Politecnico di Torino (2024) M.Sc. and B.Sc. in Computer Engineering from Politecnico di Torino (110/110 final score) His research focuses on IoT security , particularly in smart home gateways and automotive systems , with recent work on SOCMATI (Social Media Automotive Threat Intelligence) and COLTRANE-V projects. He has contributed to frameworks for CAN attack simulation , cryptomining detection , and privacy-preserving vulnerability scanning . Publications since 2018 reflect expertise in malware optimization , Cloud-IoT security , and edge computing for constrained devices. His teaching roles since 2020 include Web Applications and Algorithms and Programming courses. He is also a member of the SMILIES research group and co-founded the Mu Nu Chapter of IEEE-HKN .

• Cybersecurity
• Internet of Things (IoT)
• Software Engineering
• +۴ مورد دیگر

Stefano Di Carlo is a Full Professor at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is the Coordinator of the Doctoral School in Artificial Intelligence and a member of the PolitoBIOMed Lab and the Doctoral School Council. His research spans Artificial Intelligence , Computer Architecture , Bioinformatics , and Cybersecurity , with a focus on 3D bioprinting , hardware security , and reliability analysis . Research Interests : Approximate computing systems Cybersecurity for connected vehicles Spiking neural networks and neuromorphic hardware Multicellular synthetic biological systems Hardware-based malware detection Biomedical simulation tools Article Trends : His recent publications address approximate computing (7/15), cybersecurity (6/15), and bioinformatics (4/15). Key subtopics include RISC-V security , gradient inversion attacks , photonic computing , and real-time fault injection . Scientific Awards : Best Paper Awards at IEEE AQTR (2010, 2012), IEEE DDECS (2013), and BIOINFORMATICS/BIOSTEC (2014) IEEE Computer Society Golden Core Award (2006), Meritorious Service Award (2010) IEEE Fellow (2011-) and Senior Member Advising & Grants : He supervises 14 PhD students and leads projects like Vitamin-V (RISC-V cloud services), APROPOS (approximate computing), and SERICS (cybersecurity). His lab, SMILIES, focuses on resilient computer architectures and bioinformatics . Labs & Teams : Lab 6 - Research Laboratory (DAUIN) SMILIES - Resilient computer architectures and life sciences PolitoBIOMed Lab - Biomedical engineering

• 3D bioprinting
• Artificial intelligence
• Bioinformatics
• +۷ مورد دیگر

Roberto Basili is an Associate Professor in the Department of Computer Science at the University of Roma, Tor Vergata, where he has been a member of the Artificial Intelligence group (ART) since 1991. His academic appointments span both the Faculty of Engineering and the Department of Linguistics, reflecting his interdisciplinary approach to natural language processing and computational linguistics. Professor Basili's research focuses on Natural Language Processing, Machine Learning, Knowledge Representation, and their applications in Information Retrieval and the Semantic Web. His work particularly emphasizes semantic tagging, word sense disambiguation, ontology engineering, and music genre categorization. He leads the ART (Artificial Agent @ Roma Tor Vergata) research group, which develops frameworks for language-driven ontology learning and question answering systems. His publication record shows consistent contributions from the early 1990s through 2006, with recent work emphasizing kernel methods for semantic role labeling, ontology-driven information retrieval, and hierarchical semantic analysis. The research trends indicate a progression from foundational work in lexical acquisition and parsing toward more sophisticated semantic analysis and ontology integration, reflecting the evolution of the NLP field itself. Professor Basili has secured significant research funding through multiple EU Framework Program projects including PrestoSpace (FP6), FF-Poirot (FP5), and MOSES (FP5), as well as NSF grants and Italian national research initiatives (PRIN). These projects demonstrate his ability to lead large-scale collaborative research efforts addressing both theoretical challenges and practical applications in language technology. His teaching responsibilities include courses on Distributed Databases and Information Retrieval, Database Systems, Fundamentals of Programming in the Faculty of Engineering, and Trattamento Automatico delle Lingue (Natural Language Processing) in the Department of Linguistics. This dual appointment underscores his bridging of computer science and linguistic approaches to language processing.

• Natural Language Processing
• Machine Learning
• Knowledge Representation
• +۵ مورد دیگر

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +۳ مورد دیگر

Francesco Rea is a Senior Technician at Istituto Italiano di Tecnologia (IIT) and holds adjunct/teaching positions at University of Lethbridge and University of Genova. He leads the Cognitive Architecture for Interactive Technology (CONTACT) lab, focusing on humanoid perception, cognitive skills, and industrial applications. Education: B.Sc. Information Engineering, Università di Bergamo (2004) Specialization in Computer Engineering, Università di Bergamo (2007) M.Sc. Robotics and Automation, University of Salford (2008) Ph.D. Robotics, University of Genoa (2012) Research: His work bridges cognitive neuroscience and robotics, developing systems for auditory awareness, adaptive tutoring, and human-robot collaboration in manufacturing/healthcare. Key projects include VOJEXT, APRIL, and PROMEN-AID, funded by EU H2020 and Human Brain Project. Publications: Recent works (2025) explore LLM-based tutoring architectures, visuo-motor learning, and social robotics, demonstrating consistent focus on AI-driven human interaction and cognitive modeling. Awards: Canada-Italy Innovation Award (2017, 2021) Best Paper Award at ROMAN2020 Mitacs Globalink Research Award (2018) AI for Robotics Award (2020) Grants & Teams: Secured €multi-million funding for 5+ EU projects. Leads a 10+ member team at CONTACT lab developing cognitive architectures for industrial robots and healthcare applications.

• Cognitive Robotics
• Human-Robot Interaction
• Developmental Robotics
• +۳ مورد دیگر

Christian Circi is an Associate Professor of Flight Mechanics at the Department of Astronautical, Electrical, and Energy Engineering, Sapienza University of Rome. He has held this position while actively contributing to space research and education in Italy's premier academic institution. Dr. Circi earned his Bachelor of Science and Master of Science in Aeronautical Engineering, followed by a Master of Science in Aerospace Engineering, and ultimately his PhD in Aerospace Engineering, all from Sapienza University of Rome. His educational background provided the foundation for his specialization in space mission design and orbital mechanics. His primary research focuses on orbital mechanics , with particular expertise in third-body perturbations , interplanetary and lunar trajectories , solar sails , orbits for planetary observation , and launch vehicle ascent trajectories . Dr. Circi's work bridges theoretical celestial mechanics with practical space mission applications, making significant contributions to the understanding of complex orbital dynamics in multi-body systems. Analysis of Dr. Circi's recent publications reveals a strong emphasis on solar sail technology, particularly the Helianthus mission, as well as innovative approaches to orbit design for lunar and planetary exploration. His work increasingly incorporates quantum-inspired optimization techniques and machine learning applications to traditional astrodynamics problems, demonstrating adaptability to emerging computational methodologies. Dr. Circi serves as the scientific director of the Italian Space Agency's "Research and Development on Photonic Solar Propulsion" project, demonstrating leadership in cutting-edge propulsion research. He has also been actively involved in consulting for both public and private space sector organizations. At Sapienza University of Rome, Dr. Circi teaches "Interplanetary Trajectories" and "Launcher Flight Mechanics" in the Master's Degree program in Space and Astronautical Engineering, as well as the second-level Master's program in "Space Transportation Systems." His teaching directly reflects his research expertise, providing students with practical knowledge of space mission design. Dr. Circi has authored 153 scientific articles throughout his career and serves as Associate Editor for several prestigious journals including "Aerospace Science and Technology," "International Journal of Aerospace Engineering," "Astrodynamics," and "Space: Science & Technology," indicating his standing within the international space research community.

• Orbital Mechanics
• Third-Body Perturbations
• Interplanetary and Lunar Trajectories
• +۳ مورد دیگر

Giulio Stefanini serves as Associate Professor of Cardiology at Humanitas University and Clinical and Interventional Cardiologist at IRCCS Humanitas Research Hospital and Humanitas S.Pio X Hospital in Milan. He leads clinical research for the Cardio Center at Humanitas Research Hospital, directing studies on complex cardiovascular interventions and outcomes. His educational background includes: Medical degree from Sapienza University of Rome PhD in Experimental Medicine MSc in Health Economics, Outcomes and Management in Cardiovascular Sciences from London School of Economics Professor Stefanini's research spans interventional cardiology with emphasis on coronary artery disease, transcatheter valve procedures, and antiplatelet therapy optimization. He integrates advanced imaging techniques like cardiac MRI and intravascular ultrasound with health economics analysis to improve procedural outcomes and patient management. His work frequently addresses high-bleeding-risk scenarios and complex vascular access challenges. Recent publications demonstrate concentrated focus on TAVR innovations, drug-coated balloon applications, AI-driven risk prediction, and in-silico procedural simulation. Key trends include personalized antiplatelet duration, mitral valve interventions, and registry-based evidence for complex coronary lesions. His scientific recognition includes: Fellow of the European Society of Cardiology (FESC) William Harvey Award from Italian Society of Cardiology Health Young Physician Leaders (YPL) programme nomination Multiple research grants from ESC and EAPCI Professor Stefanini has secured competitive funding including the Swiss National Science Foundation's SPUM grant and EAPCI research support. His leadership in the Cardio Center coordinates multicenter registries like HOSTILE and ULTRA-BIFURCAT. Current projects emphasize procedural standardization, minimalistic interventional approaches, and cardiovascular safety of emerging therapies. He directs the Cardio Center's clinical research activities, overseeing trials in complex PCI, structural heart disease, and cardiovascular outcomes research.

• Cardiology
• Interventional Cardiology
• Cardiovascular Diseases
• +۳ مورد دیگر

Tomio Goto serves as Associate Professor at Nagoya Institute of Technology's Graduate School of Engineering, specializing in image processing and computer vision. His research bridges academic theory with consumer electronics applications through extensive IEEE conference involvement. His research focuses on medical imaging systems for rheumatoid arthritis diagnosis, super-resolution techniques for surveillance and medical applications, and masked face recognition systems developed during the pandemic. Key methodologies include learning-based deblurring, TV regularization, and ConvNeXt/StyleGAN architectures. Analysis of his recent publications reveals dominant themes: 68% focus on medical imaging applications (particularly rheumatoid arthritis diagnosis), 43% on super-resolution techniques, and 31% on pandemic-adapted biometric systems. His work consistently emphasizes real-world implementation for consumer electronics. 14 consecutive IEEE GCCE Outstanding Service Awards (2014-2024) IEEE Senior Member (2014) Best Oral Presentation Award at 2018 International Conference on Digital Medicine IEEE GCCE 2016 Excellent Demo Award Professor Goto actively mentors graduate students, with 15 documented advisees as first authors on publications. His research projects include ongoing initiatives in medical image processing (since 2013), drone object recognition (since 2014), and beauty correction systems. Current committee roles include Technical Program Committee Member for IEEE GCCE2026 and Vice Chair of IEEE Consumer Technology Society West Japan Chapter.

• Image Processing
• Computer Vision
• Medical Imaging
• +۴ مورد دیگر