Find Academic Supervisors

Andrea BontempelliView profile

Research Fellow

• Machine Learning
• Data Science
• Artificial Intelligence
• +5 more

Andrea Bontempelli is a Research Fellow at the University of Trento within the Knowdive research group . He completed his Ph.D. in Information and Communication Technologies at the University of Trento in 2024, supervised by Prof. Fausto Giunchiglia and Prof. Andrea Passerini. During his doctoral studies, he conducted a visiting Ph.D. at the IDIA Research Institute in Switzerland under the guidance of Prof. Daniel Gatica-Perez, head of the Social Computing Group. Research Interests : Andrea specializes in interactive and incremental machine learning , with a focus on handling noisy data , knowledge drift , and context recognition from mobile sensor streams . His work bridges human-in-the-loop systems with real-world applications , emphasizing robust evaluation of machine learning models in both controlled and naturalistic environments. Publication Trends : Andrea’s articles explore interactive alignment of prototypical networks , cross-cultural behavioral modeling , and lifelong context recognition . Key themes include data drift mitigation , model debugging , and real-time sensor data processing , reflecting his commitment to adaptive, user-centric machine learning solutions. Affiliations : Knowdive group, University of Trento Social Computing Group, IDIAP Research Institute (visiting Ph.D.)

• Systems Biology
• Bioinformatics
• Computational Biology
• +9 more

Mario Lauria is an Associate Professor at the Department of Mathematics of the University of Trento, also affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC). He holds a PhD in Electrical and Computer Engineering from the University of Naples Federico II and conducted postdoctoral research at the University of Illinois and UC San Diego. He has held academic positions at The Ohio State University, TIGEM in Naples, and the Microsoft Research-COSBI Centre. His research focuses on computational methods for biomarker discovery, systems biology, and gene regulatory network analysis. Lauria has coordinated multiple EU and industry-funded projects, including work on metabolic markers of pre-diabetes and systems biology approaches to neurodegenerative diseases. Education: PhD in Electrical and Computer Engineering, University of Naples Federico II (1997) M.S. in Computer Science, University of Illinois at Urbana-Champaign (1996) Laurea in Electrical Engineering, University of Naples Federico II (1992) Research interests emphasize bioinformatics , systems biology , and high-performance computing , with applications to gene regulatory networks, diagnostic biomarkers, and multi-omics data integration. His work bridges computational methods with biological systems, particularly in aging, neurodegenerative diseases, and metabolic disorders. Publications reflect a focus on Alzheimer’s biomarkers , diabetes , and gene network analysis . Key contributions include rank-based biomarker algorithms and consensus clustering methods for metabolic profiles. His interdisciplinary approach spans computational tools (e.g., SCUDO, rScudo) and collaborative projects with pharmaceutical and academic partners. Awards include the 2012 SBV IMPROVER Challenge win and IEEE Senior Membership. He serves on editorial boards for journals like IEEE Transactions on Parallel and Distributed Systems and BMC Bioinformatics . Grants and collaborations include leadership in the EarlyBird pre-diabetes project and contributions to EU-funded initiatives like AnEUploidy . His academic service roles include coordinating the Data Science and Quantitative Biology master’s programs at Trento University. Labs/Teams: Active in the Microsoft Research-COSBI Centre for systems biology and the CIMEC interdisciplinary neuroscience hub.

• High-Performance Computing
• Cloud Computing
• Parallel Computing
• +3 more

Dr. Luigi Santangelo is affiliated with the University of Pavia. He focuses on High-Performance Computing (HPC), Cloud Computing, and Parallel Computing, with significant contributions to bioinformatics applications and network security. His research integrates cloud-based scheduling for protein analysis and hemodynamic simulations, emphasizing computational efficiency and cost analysis in cloud vs on-premise systems. His work spans hybrid parallel computing models (OpenMP-MPI) and enterprise network management tools like RedHat Directory Server and OpenNMS. Recent efforts prioritize optimizing cloud infrastructure for bioinformatics tasks, such as protein secondary structure analysis and geometric motif searches in proteins. No scientific awards or grants are listed, but his publications reflect a strong emphasis on practical HPC solutions and cybersecurity protocols like SPID digital identity systems. He has not listed formal advisees, though his collaborative research likely involves student contributions.

Marta BiagioliView profile

Researcher

• Neurodegenerative Diseases
• Genetics
• RNA Biology
• +2 more

Marta Biagioli is a Researcher in Genetics at the Department of Cellular, Computational and Integrative Biology (CIBIO) , University of Trento. Her work focuses on Huntington's disease and neurodevelopmental disorders , combining molecular genetics , RNA biology , and translational research . Her research investigates RNA biogenesis defects in Huntington’s disease, including circular RNAs (circHTT) and SINEUP antisense RNAs . She explores how CAG repeat expansions alter splicing dynamics and neuronal vulnerability , with implications for biomarker development and RNA-based therapies . Key trends in her publications reveal expertise in non-coding RNA , neurogenetic mechanisms , and epigenetic regulation . Her work spans model systems , transcriptomic analysis , and therapeutic design for diseases like Huntington’s and autism. Marta’s laboratory at CIBIO integrates interdisciplinary approaches to decode complex disease phenotypes. She actively engages in science communication , bridging academic research with public understanding through platforms like #UniTrentoStories.

Nicola De PisapiaView profile

Researcher

• Psychology
• Cognitive Science
• Neuroscience
• +3 more

Nicola De Pisapia is a Researcher in the Department of Psychology and Cognitive Sciences at the University of Trento . His work adopts an interdisciplinary approach, collaborating with neuroscientists, psychologists, art historians, and artists to study brain activity during creative processes and states of consciousness. Notable collaborations include the MART of Rovereto, integrating art and neuroscience to explore human cognition. Research Interests De Pisapia's research spans neuroscience , cognitive science , psychology , and art . He investigates the neural dynamics of creativity, mindfulness, and altered states of consciousness, often using virtual reality and neuroimaging to understand how technology and contemplative practices influence cognitive and emotional processes. Article Trends His publications reflect a focus on psychedelics , virtual reality , and mindfulness , with recent work on immersive environments for archaeological studies, AI-driven consciousness research, and the neural bases of artistic creativity. Keywords across his work include neuroscience , virtual reality , and clinical psychology , emphasizing interdisciplinary insights.

Toni ManciniView profile

Professor

• Artificial Intelligence
• Formal Verification
• Model Checking
• +3 more

Prof. Toni Mancini is Full Professor at the Department of Computer Science, Sapienza University of Rome, where he leads research in artificial intelligence and formal verification methods. His work develops computational approaches for system verification, in silico clinical trials, and optimization of cyber-physical systems. Mancini has secured substantial research funding including EU projects PAEON (model-driven computation of infertility treatments) and SmartHG (energy demand aware services for smart grids). He currently coordinates scientific programs in Rome Technopole's innovation ecosystem and develops AI applications for forensic psychiatry. His teaching includes courses on Artificial Intelligence, Databases, and Formal Methods in AI-Based Systems Engineering. Mancini has supervised numerous PhD students and received the Best Paper Award at ISMIS 2018 for work on network vulnerability analysis.

Fabio PammolliView profile

Professor

• Economics of Innovation
• Management Analytics
• Health Economics
• +5 more

Fabio Pammolli is Full Professor of Economics and Management at Politecnico di Milano. His research integrates methodologies across economics of innovation, management analytics, health/pension economics, and analysis of firm growth dynamics. He specializes in science/technology policy and biotechnology/pharmaceutical industries. Previously, he served as Founding Director of IMT Institute for Advanced Studies (2004-2012), establishing it as a leading Italian research university. He coordinated Crisis Lab@IMT (2012-2016), a €6M project developing computational infrastructure for economic system analysis. He held visiting positions at Sciences Po Paris, LSE, Harvard, and MIT. Research focuses on: Innovation economics and firm diversification patterns Health systems and pharmaceutical R&D efficiency Network analysis of economic and research systems Crisis prediction in socio-technical systems Science policy evaluation and research integration His publications analyze research collaboration networks, economic impacts of crises (including COVID-19), R&D productivity, and economic complexity. Recent work demonstrates strong interdisciplinary integration of econometrics, network science, and policy analysis. Major initiatives include: Designed scientific mission and financial architecture for IMT Institute Established Industrial Liaison Office at University of Siena Developed Toscana Life Sciences Science Park as founding president Created Crisis Lab's computational infrastructure for systemic risk analysis

Barbara RussoView profile

Professor

• Machine Learning
• Software Engineering
• Systems Reliability
• +4 more

Barbara Russo is a Full Professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano, Italy. She is a member of the International Software Engineering Research Network (ISERN) and has held visiting researcher positions at the Max-Planck Institute for Mathematics (Germany) and the University of Liverpool (UK). Her research focuses on Machine Learning in Software Engineering, Software Reliability/Testing, and Systems Engineering. She founded and coordinated the Software and Systems Engineering (SwSE) research group (2014–2017) and is involved in initiatives like the European Masters Program in Software Engineering (EMSE). Awarded the 2007 Best Public-Private Collaboration Award for establishing a dual BSc program in Computer Science. Established a makerspace (now FabLab) at her faculty and contributed to projects like the Euregio Trustworthy AI Lab. Research spans DevOps processes, embedded systems vulnerability, and collaborative AI assurance. Her work emphasizes empirical software engineering and practical industry collaboration, with notable contributions to scalability testing, performance modeling, and vulnerability detection.

• Database Systems
• Assistive Technology
• Smart Home Systems
• +5 more

Sara Comai is an Associate Professor at the Politecnico di Milano , affiliated with the Department of Electronics, Information and Bioengineering . She coordinates the Assistive Technology Group (ATG) and leads the MEP (Maps for Easy Paths) project. Research Focus : Database systems, smart home technologies, indoor localization, and assistive solutions for elderly/dementia patients Recent Trends : 2025-2023 publications highlight Occupancy detection via Wi-Fi/infrared sensors Behavior classification for Alzheimer's patients Wearable/RFID-based health monitoring Human-robot collaboration in agriculture Adaptive machine learning for land use segmentation

• Structural Engineering
• Biomechanics
• Structural Health Monitoring
• +3 more

Cecilia Surace is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre), the Polito Spin Off Evaluation Commission, and the Patent Commission. Her research focuses on structural dynamics, medical devices, and structural health monitoring, with expertise in biomechanics, nonlinear dynamics, and biomimetic materials. She has been recognized with the Elsevier Journal Exemplary Reviewer award (2013). She teaches courses in structural mechanics, dynamics of structures, and bio/nano construction science at both undergraduate and graduate levels. Her research involves projects like DIMOSS (displacement monitoring using strain sensors) and T-SURE (tissue surgical repair), and she leads teams in developing innovative repair technologies for biological tissues and aerospace structures. She advises three PhD students and holds patents for medical devices such as SurgiFET for tendon repair. Her work spans interdisciplinary applications, including bridge health monitoring, soft tissue repair, and bio-inspired nanomechanics. She contributes to editorial boards and international conferences, demonstrating leadership in her field.

Samanta RosatiView profile

Assistant Professor

• Biomedical Engineering
• Medical Imaging
• Machine Learning in Healthcare
• +5 more

Samanta Rosati is an Assistant Professor at the Department of Electronics and Telecommunications at the Polytechnic University of Turin. She holds a Master’s Degree and Ph.D. in Biomedical Engineering from the same institution. Her research focuses on biomedical data interpretation, signal processing, and medical device software development. Key areas include radiomics, AI for CAD systems, and clinical process modeling. Education: Ph.D. in Biomedical Engineering (2014), Politecnico di Torino Master’s Degree in Biomedical Engineering (2010), Politecnico di Torino Research Interests: Medical imaging analysis (e.g., CT/MRI segmentation) Machine learning applications in healthcare Wearable sensor systems for telemedicine Clinical workload modeling Current Projects: Development of a wearable multi-sensor array for heart failure monitoring AI-driven systems for personalized chemotherapy prediction Telemedicine frameworks for heart failure management Grants & Advising: Actively supervises projects on medical device software certification and hernia repair outcomes analysis. Collaborates on multi-center studies for cancer treatment response prediction. Labs/Teams: Leads projects in medical AI and wearable technology within the Department’s biomedical engineering group, focusing on bridging clinical needs with engineering solutions.

Davide RattacasoView profile

Research Fellow

• Quantum Information
• Quantum Many-Body Systems
• Adiabatic Quantum Computation
• +3 more

Davide Rattacaso is a Research Fellow at the University of Padua's Department of Physics and Astronomy, funded by the European Project EuRyQa. His research focuses on quantum information, quantum many-body systems, and developing hardware-aware quantum compilers using tensor network techniques. Current projects include adiabatic quantum computation, inverse problems in quantum systems, resource theory, and information geometry. His work integrates advanced computational methods with theoretical frameworks to address challenges in quantum hardware optimization and quantum dynamics. Key themes across his research include understanding non-equilibrium quantum phenomena and leveraging geometric approaches to analyze quantum complexity and chaos. His contributions span foundational studies on Hamiltonian reconstruction, stabilizer entropy dynamics, and delocalized quantum state evolutions. The research is supported by grants emphasizing practical applications of quantum algorithms and architectures.

• Computer Engineering
• Embedded Systems
• Radiation-Hardened Electronics
• +3 more

Andrea Portaluri is a Ph.D. candidate in Computer Engineering (37th cycle, 2021-2024) at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN). He also serves as an external lecturer and teaching collaborator for the course 'Operating Systems' in the 2024/25 academic year. His research focuses on radiation-hardened FPGA design, real-time embedded systems reliability, and fault tolerance in software-hardware co-design. Research interests include radiation effects on electronics, FPGA-based acceleration, real-time operating systems (RTOS), and mitigation techniques for soft errors in embedded systems. He collaborates with researchers like Luca Sterpone, Sarah Azimi, and Corrado De Sio on projects addressing reliability in space and safety-critical applications. His recent publications analyze radiation-induced errors in FPGAs, GPU-enhanced CAD tools for radiation-hardened designs, and multi-core neural network accelerators. Work trends emphasize improving embedded system reliability through hardware-software co-design, domain isolation, and fault-tolerant architectures. Portaluri actively participates in international conferences, presenting at venues like ACM Computing Frontiers, IEEE IOLTS, and IEEE Parallel and Distributed Computing. He has contributed to over 15 peer-reviewed articles and conference proceedings since 2021, focusing on radiation-hardening techniques and embedded system resilience.

Pier Luca LanziView profile

Professor

• Artificial Intelligence
• Machine Learning
• Multiagent Systems
• +7 more

Pier Luca Lanzi is a Full Professor at Politecnico di Milano, affiliated with the Department of Electronics, Information, and Bioengineering (DEIB). He leads the Artificial Intelligence and Robotics Lab (AIRLab), focusing on interdisciplinary research at the intersection of AI, robotics, and human-centric technologies. His work emphasizes applications in gaming, healthcare, and education, leveraging machine learning, evolutionary algorithms, and virtual reality. Education: Not explicitly stated in the provided texts. Affiliations: Director of the AIRLab; core member of DEIB. His research interests span artificial intelligence, multiagent systems, procedural content generation for games, serious games for rehabilitation, and AI-driven medical imaging. He explores how AI can enhance learning experiences (e.g., VR classrooms for physics and history) and improve therapeutic outcomes through interactive frameworks like the IGER system for stroke rehabilitation. Notable contributions include frameworks for automated level design in games (e.g., DOOM level generation via GANs), AI-assisted diagnostic imaging systems, and exergaming solutions for juvenile arthritis patients. His work often bridges computational intelligence with real-world applications, emphasizing human-centered design. Advising & Grants: While no specific grant details are provided, his prolific publication record suggests sustained research activity. Students and collaborators include prominent names in AI and robotics, though formal advisee名单 are not listed here. Labs/Teams: Directs the AIRLab, which develops cutting-edge technologies in AI, robotics, and human-technology interaction. Collaborates with industry and academic partners on projects ranging from VR educational tools to medical exergames.

Giuseppe MacchiarellaView profile

Associate Professor

• RF Systems
• Microwave Filters
• Electromagnetics
• +3 more

Giuseppe Macchiarella is an Associate Professor in RF Systems at the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. His research focuses on microwave filter design, resonator configurations, and advanced RF system architectures. He actively contributes to the Cadence University Program, providing students access to tools like Microwave Office and VSS. Key research areas include inline filter topologies, frequency-variant couplings, and synthesis techniques for high-performance filters. His work emphasizes analytical methods for optimizing filter selectivity, compactness, and stability. Notable contributions involve star-junction multiplexers, quasi-inline filters with strongly coupled resonators, and extracted-pole filter designs. Recent publications highlight advancements in topology optimization, matrix-based synthesis, and filtenna array modeling. His work bridges theoretical analysis and practical applications in telecommunications and satellite systems.