جستجوی استاد راهنمای دانشگاهی

Paola Paciمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Network Medicine
• +۳ مورد دیگر

Paola Paci is an Associate Professor at the Department of Computer, Control, and Management Engineering "Antonio Ruberti" of Sapienza University of Rome and an Affiliate Professor at the Department of Laboratory Medicine, Cardio-Metabolic Unit of Karolinska Institutet, Sweden. She has held visiting positions at Harvard Medical School and research roles at CNR's Institute for Systems Analysis and Computer Science. Her work bridges computational biology and network medicine. 2010: Second Level Master in Bioinformatics (Sapienza University of Rome) 2003: PhD in Physics (University of Pavia) 1999: MSc in Physics (Sapienza University of Rome) Paci develops algorithms for biomarker discovery and drug repurposing in network medicine. Her tools include SWIM for glioblastoma biomarkers, SPINNAKER for ceRNA interactions, SAveRUNNER for drug repurposing, and MIENTURNET for miRNA-target analysis. Recent work focuses on single-cell multi-omics, adverse drug effects, and pathogen spillover mechanisms. Her research spans 2025-2024 publications covering Alzheimer’s disease drug prioritization, COPD pathway analysis, obesity therapeutics avoiding hepatic steatosis, and neuroblastoma immunotherapy resistance. These works integrate network medicine with pharmacology, genomics, and systems biology. 2018: BITS Best Poster Award 2017: IEEE TCCLS Best Poster (700 USD) 2016: IEEE TCCLS Best Poster (500 USD) 2014: SYSBIO Award (10,000 EUR) 2010: Master Award (1,500 EUR) She teaches bioinformatics at Sapienza University and Campus Biomedico University, organized key IEEE workshops, directs training courses, and serves on editorial boards (Scientific Reports, Biotechnology Reports). Her affiliations include the Network Medicine Institute and GNB bioengineering society.

• Cognitive Psychology
• Educational Technologies
• Teaching and Learning
• +۷ مورد دیگر

Eleonora Bilotta is a Full Professor of General Psychology at the Department of Physics, University of Calabria, Italy. She is the coordinator of the Ph.D. Course in Psychology of Programming and Artificial Intelligence and vice-coordinator of the Ph.D. Course in Science, Engineering of Environment, Construction, and Energy. Her research spans interdisciplinary fields such as cognitive psychology, educational technologies, artificial life, and mathematical modeling of behavior. Prof. Bilotta has over 150 publications and has contributed to journals like Complexity and International Journal of Bifurcation and Chaos . She led initiatives like the COMSON project (EU-funded) for e-learning platforms and directed the Evolutionary Systems Group (ESG). She also organized conferences such as the International Conference on Simulation of Adaptive Behavior and the Workshop on Artificial Life. Her work bridges science and art, leveraging chaos theory for creative design and educational tools. She collaborates globally, including with institutions like Bergische Universität Wuppertal and Chapman University. Her labs focus on cognitive science, modeling, and simulation, emphasizing innovation in education and technology.

Giovanni Squilleroمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Evolutionary Algorithms
• +۷ مورد دیگر

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).

Claudia Andreiniمشاهده پروفایل

دانشیار

• Metalloproteins
• Bioinformatics
• Biological Databases
• +۳ مورد دیگر

Claudia Andreini is an Associate Professor at the University of Florence, affiliated with the Magnetic Resonance Center and the Department of Chemistry. Her research focuses on computational biology, particularly metalloproteins and bioinformatics. She pioneered the use of bioinformatics to study metalloproteins and developed the MetalPDB database. She collaborates internationally and has presented at major conferences. Education: PhD in Chemistry (2006), University of Florence; Laurea in Chemistry (2002, cum laude), University of Florence. Research interests include metalloprotein structure-function relationships, metal-coordination databases, and predictive computational tools. Her work integrates structural bioinformatics, machine learning, and database mining to analyze metal sites in proteins. Recent publications highlight advancements in zinc-binding site prediction, metal-induced structural variability, and applications of deep learning in metalloprotein analysis. She has contributed to drug design studies involving ruthenium complexes and antibacterial agents. No scientific awards or grants are explicitly listed in the provided texts. She leads the MetalPDB project and collaborates on structural biology initiatives.

Vito Trianniمشاهده پروفایل

پژوهشگر

• Swarm Robotics
• Collective Intelligence
• Bio-inspired Robotics
• +۷ مورد دیگر

Dr. Vito Trianni is a researcher at the Institute of Cognitive Sciences and Technologies (ISTC-CNR) in Rome, Italy, with a focus on swarm robotics , collective intelligence , and bio-inspired algorithms . He collaborates with institutions like Sapienza University of Rome and Queen Mary University of London on projects involving decentralized decision-making, UAVs for precision agriculture, and self-organizing systems. His work bridges theoretical insights from natural systems (e.g., honeybee colonies) with practical robotic implementations. His research interests center on Designing collective decision-making systems for robot swarms Modeling psychophysical laws in superorganism behavior Autonomous construction using compliant materials Applications of swarm robotics to real-world challenges like agriculture Key trends in his publications include bio-inspired design, micro-macro dynamics, and decentralized cognition. Scientific awards include the Rosaria Conte Memorial Fellowship for interdisciplinary research. He has supervised PhD candidates like Luigi Feola and collaborated with researchers such as Andreagiovanni Reina and Marco Dorigo . Projects like DICE , SAGA , and BeesBook highlight his lab’s focus on experimental and theoretical robotics. Public outreach activities at events like Wired Next Fest 2015 and RomeCup demonstrate his commitment to science communication.

• Cancer Genomics
• Bioinformatics
• Oncology
• +۵ مورد دیگر

Prof. Giovanni Tonon is a Full Professor at Vita-Salute San Raffaele University and holds key leadership roles including Director of the Center for Omics Sciences and Head of the Functional Genomics of Cancer Unit at the San Raffaele Scientific Institute in Milan, Italy. His academic journey includes a Medical Degree from the University of Padua (110/110 cum laude) and a PhD in Clinical Methodology from the University of Milan. He has held prestigious positions at institutions like Harvard Medical School and the NIH in the US. His research focuses on genomic and bioinformatics approaches to identify cancer-related genes/pathways, with particular emphasis on multiple myeloma and CAR T-cell therapies. He has pioneered studies on DNA damage responses in cancer and developed novel diagnostic/therapeutic technologies. His work integrates molecular oncology, epigenetics, and precision medicine. Prof. Tonon has secured major awards including the Leukemia & Lymphoma Society Special Fellow Award (2006-2009) and holds 7 patents related to cancer diagnostics and therapies. He actively contributes to teaching, leading courses in Molecular Oncology, Gene Expression Analysis, and Scientific Writing at San Raffaele University. His research group collaborates internationally, driving initiatives like the DigiONE federated learning system for precision oncology. Education: PhD in Clinical Methodology, University of Milan (2002) Medical Degree, University of Padua (1992) Music Professor Certification in Piano, Conservatory of Venice (1989) Key Roles: Director, Center for Omics Sciences (2016-present) Unit Head, Functional Genomics of Cancer (2008-present) Professor of Molecular Oncology (2008-2016) His lab focuses on translating genomic discoveries into clinical applications, with recent work advancing CAR T-cell therapies for colorectal cancer and developing federated learning systems for oncology research. He maintains active participation in doctoral programs in Neurocognitive Sciences and serves on institutional research committees.

Raffaele Calabrettaمشاهده پروفایل

دانشیار

• Artificial Life
• Evolutionary modularity
• Cognitive modeling
• +۳ مورد دیگر

Raffaele Calabretta is an Associate Professor of Psychology of Communication at the International Telematic University UniNettuno and a Permanent Researcher at the Italian National Research Council's Institute of Cognitive Sciences and Technologies. He holds a Ph.D. in Computer Science from Stanford University (2012). His interdisciplinary research spans evolutionary modularity in artificial neural networks, intra-party democratic innovations, and cognitive modeling. Dr. Calabretta developed 'doparies'—a post-election participatory mechanism for political parties that combines deliberation and voting to enhance citizen engagement. In artificial life, he has modeled how modularity evolves in neural networks to solve complex tasks. He authored the science-in-fiction novel 'Il film delle emozioni' (2006) and 'Doparie, dopo le primarie' (2010) on democratic innovations.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

Giacomo Comoمشاهده پروفایل

استاد

• Distributed Control
• Energy Market
• Financial Market
• +۷ مورد دیگر

Giacomo Como is a Professor of Automatic Control at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Polytechnic University of Turin, Italy. He is a member of the Energy Center Lab and actively contributes to interdisciplinary research spanning Distributed Control , Game Theory , Network Systems , and Resilient Infrastructure . Research Focus : His work addresses stability analysis of dynamical flow networks, evolutionary game theory in social and epidemic models, and robust optimization in transportation and energy markets. Scientific Recognition : Recipient of the IEEE CSS George S. Axelby Outstanding Paper Award (2015) for contributions to networked control systems. Publication Trends : Recent articles explore population game stability , opinion dynamics in biased networks , and controlled evolutionary diffusion , reflecting his expertise in merging control theory with network science and social resilience . Key subfields include traffic signal optimization , imitation learning , and systemic risk modeling .

• Operations Research
• Healthcare Optimization
• Predictive Maintenance
• +۴ مورد دیگر

Rosita Guido is an Associate Professor in the Department of Mechanical, Energy and Management Engineering at Università della Calabria, specializing in Operations Research (MATH-06/A). Her academic role focuses on mathematical optimization and artificial intelligence applications across healthcare, manufacturing, and sustainable systems. She teaches graduate courses including Tools and Methods for Innovation in Healthcare and Business Intelligence within the Management Engineering program. Her research interests span healthcare optimization, predictive maintenance, machine learning applications, and sustainable supply chain management. Guido develops advanced mathematical models and algorithms for complex decision problems under uncertainty, with particular emphasis on healthcare systems optimization, tool condition monitoring, and resource allocation. Her methodological expertise includes mathematical programming, combinatorial optimization, stochastic programming, and hybrid AI techniques. Analysis of her recent publications reveals a strong interdisciplinary focus bridging engineering and healthcare. Key trends include the application of machine learning (particularly SVMs and CNNs) to medical diagnostics, optimization of healthcare operations (patient admission scheduling, bed management), and integration of AI with IoT for industrial applications. Her work demonstrates consistent innovation in solving real-world problems through mathematical modeling and algorithm development. As an active member of the Operations Research (Ricerca Operativa) research group at DIMEG, she contributes to projects addressing logistics optimization, green transportation systems, energy infrastructure management, and clinical process optimization. The group maintains international collaborations with prestigious research centers and companies including Amazon. Guido's teaching portfolio includes graduate-level courses in Management Engineering, where she integrates her research expertise into curriculum development. Her academic service includes participation in departmental governance and research initiatives within the Department of Mechanical, Energy and Management Engineering.

• Manufacturing Technology and Systems
• Biomedical Engineering
• Materials Science
• +۳ مورد دیگر

Angela Cusanno is an Assistant Professor at the Department of Mechanics, Mathematics & Management of Politecnico di Bari, Italy. Her research focuses on manufacturing technology and systems, particularly advanced metal forming processes and biomedical prostheses development. Research Areas: Manufacturing Technology Biomedical Engineering Materials Science Metal Forming Processes Surface Coatings Sustainable Manufacturing Scientific Contributions: Recent work includes 2025 studies on laser-assisted forming, magnesium alloy biocompatibility, and superplastic titanium processing. Earlier research in 2023-2024 explored hydroforming with magnetorheological fluids, metamodeling for component recycling, and laser treatments for metal alloys.

Stefano Querمشاهده پروفایل

دانشیار

• Computer Science
• Electrical Engineering
• Formal Methods
• +۷ مورد دیگر

Stefano Quer is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He holds a PhD in Electronic Engineering from the same institution and has been affiliated with DAUIN since 1996. Researcher (1996-2000) Associate Professor (2000-present) Visiting Faculty at UC Berkeley (1994-1995) Research Interests His work spans Formal Verification BDD/SAT Techniques Embedded Systems Hardware/Software Co-Verification Parallel Computing with applications in VLSI CAD, industrial IoT, and energy-efficient systems. Recent articles focus on GPU-accelerated graph algorithms, wireless sensor calibration, and AI-driven test optimization. Scientific Awards Best Paper Award, IEEE EURO-DAC'94 Academic Contributions Supervised PhD students Lorenzo Cardone and Andrea Calabrese Member of DATE, ICSOFT Technical Program Committees Topical Advisor for Sensors MDPI 60+ publications in IEEE/ACM venues

Nicola Gattiمشاهده پروفایل

دانشیار

• Algorithmic Game Theory
• Mechanism Design
• Artificial Intelligence
• +۳ مورد دیگر

Nicola Gatti is an Associate Professor in Computer Science and Artificial Intelligence at the Department of Electronics, Information and Bioengineering, Politecnico di Milano. He serves as Co-director of the Observatory Artificial Intelligence of Politecnico di Milano and holds board positions at the Italian National Laboratory of Artificial Intelligence and Intelligent Systems (CINI AIIS) and the Italian Association for Artificial Intelligence (AIxIA). His research spans the intersection of Computer Science, Microeconomics, Optimization, and Machine Learning, with specific focus on Algorithmic Game Theory, Mechanism Design, and Online Learning. He has made significant contributions to areas including negotiation, security games, equilibrium computation, sponsored search auctions, online advertising, election manipulation, and regret minimization in economic problems. Gatti's recent publications demonstrate strong trends in applying game-theoretic and learning approaches to practical problems in advertising, contract design, and constrained decision making. His work frequently appears in top AI venues including AAAI, AAMAS, NeurIPS, and ICML, reflecting his standing as one of the most prolific AI researchers in Italy. He has received notable recognition including being awarded as the best Italian young researcher on Artificial Intelligence in 2011 by AIxIA. His research is supported through competitive projects like PRIN2017 Algadimar and industrial collaborations with companies including lastminute.com, DoveVivo, MMM group, AdsHotel, Analisi e Valore, and the Italian Navy. In addition to his research, Gatti is actively involved in education, teaching courses on Systems Informatics, Economic and Computation, Data Intelligence Application, and specialized industry courses on Online Machine Learning and Algorithmic Game Theory for companies including lastminute.com, Niuma, and Ferrari GES Scuderia F1. Since 2018, he has chaired the Honours Programme in Scientific Research in Information Technology at Politecnico di Milano.

• Numerical Analysis
• Machine Learning
• Computational Mathematics
• +۴ مورد دیگر

Elena Toscano is a researcher in the Department of Mathematics and Computer Science at the University of Palermo. She specializes in numerical analysis, machine learning, and computational mathematics, with a focus on mesh-free methods like Smoothed Particle Hydrodynamics (SPH) and applications to physics, engineering, and interdisciplinary fields. Teaching: Numerical Analysis (Master's in Informatics and Mathematics, 2025/2026) Research Areas: Signal/image processing, SPH consistency restoration, genetic algorithms for tomography, and mathematical-literary collaborations (e.g., Oulipo). Her publications span computational physics, machine learning, and mathematical modeling, emphasizing numerical stability and interdisciplinary innovation.

• Antenna Design
• Microwave Engineering
• Radar Systems
• +۳ مورد دیگر

Pietro Rosatti is a Research Fellow at the Department of Industrial Engineering, University of Trento, specializing in electromagnetic systems and artificial intelligence applications. His research focuses on: Antenna Design for automotive radar and communication systems Microwave Engineering and mm-wave technologies Artificial Intelligence integration in electromagnetic problem-solving Inverse Problems and electromagnetic imaging System-by-Design optimization frameworks Real-world applications in medical imaging and radar systems Analysis of his 17 publications (2018-2025) reveals a dominant trend toward AI-driven solutions for electromagnetic challenges, particularly in automotive radar antenna design (77 GHz systems), microwave medical imaging, and ground-penetrating radar. His work consistently employs multi-objective evolutionary optimization and system-by-design methodologies to overcome the curse of dimensionality in inverse scattering problems, with increasing emphasis on real-time deep learning frameworks since 2021.