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Nguyễn Kim ThắngView profile

Professor

• Design and Analysis of Algorithms
• Optimization in Machine Learning
• Discrete Optimization
• +2 more

Nguyễn Kim Thắng is a Full Professor affiliated with LIG , ENSIMAG , Grenoble INP , and University Grenoble-Alpes . He serves as Education Director of EFELIA-MIAI and member of the MIAI scientific board, while also participating in the scientific board of the GT Complexity and Algorithms and the pedagogical team at Ensimag's Fundamental Computer Science department. His research focuses on algorithm design and analysis, particularly in online algorithms, optimization in machine learning, discrete optimization, operations research, and algorithmic game theory. Nguyen works on problems related to resource allocation, scheduling, and decentralized optimization with applications to smart infrastructure. Nguyen co-chairs major conferences including the Conference on Frugal Machine Learning (2024) and STACS (2025), and has organized workshops on frugal learning, edge intelligence, and scheduling challenges. He serves on program committees for STACS, ACML, and selection committees for academic positions in artificial intelligence. His recent publications focus on primal-dual algorithms with predictions, decentralized optimization techniques, and applications to smart-building systems. Nguyen teaches courses ranging from foundational programming to advanced machine learning at Ensimag and has previously coordinated international academic programs.

• Numerical Analysis
• Multivariate Approximation Theory
• Polynomial Interpolation
• +5 more

Marco Vianello is a Full Professor of Numerical Analysis at the Department of Mathematics of the University of Padova, Italy. He has held this position since May 2017, following his tenure as Associate Professor (2001-2016) and Lecturer (1993-2000) at the same institution. Professor Vianello is Co-Editor-in-Chief of the Journal of Approximation Software (2024-) and was previously Managing Editor of Dolomites Research Notes on Approximation (2008-2022). He is the co-founder of the CAA: Padova-Verona Research Group on Constructive Approximation and Applications and an active member of the national research networks RITA (Rete ITaliana di Approssimazione) and SIMAI ANA&A Activity Group. Professor Vianello's research focuses on Multivariate Approximation Theory, with particular emphasis on Polynomial Interpolation, Numerical Quadrature and Cubature, Meshless Approximation, and Polynomial Optimization. His work includes the development of special point sets such as Padua Points, Approximate Fekete Points, Subperiodic Trigonometric Points, and CATCH (Caratheodory-Tchakaloff) Points. His research has significant applications in numerical methods for PDEs, computational mechanics, and scientific computing. His research has been recognized with the Optimization Letters Best Paper Award (2020), and his work has accumulated approximately 3,700 citations on Google Scholar. His algorithms have been implemented in several major software packages including ZEMAX OpticStudio, CP2K for molecular dynamics, and the Chebfun package. Optimization Letters Best Paper Award (2020) for 'Quadrature Based Polynomial Optimization' Approximately 3,700 citations on Google Scholar Approximately 1,200 citations by about 700 authors on MathSciNet Implementation of algorithms in ZEMAX OpticStudio, CP2K, Chebfun, and other scientific software Professor Vianello has advised 3 Ph.D. students to completion and approximately 60 B.Sc. and Master's dissertations. As a research coordinator from 2003-2025, he has secured approximately 150 kEuros in funding, supporting an average of 5 researchers per year. He has served on numerous hiring and evaluation committees, including the ASN (Italian National Scientific Habilitation) Committee in Numerical Analysis (2024-26) and hiring committees for professorships at Padova and Calabria Universities. His research group, the CAA: Padova-Verona Research Group on Constructive Approximation and Applications, maintains an active international collaboration network with researchers from institutions including Lawrence Livermore National Laboratory, Jagellonian University, University of Calgary/Verona, University of Toulouse, Colorado School of Mines, ANU Canberra, Indiana University, and several others across Europe, North America, and Asia.

• Psychological Assessment
• Psychotherapy Research
• E-Health
• +3 more

Silvia Salcuni is an Associate Professor at the University of Padua, specializing in Psychological Assessment, Psychotherapy Research, and E-Health applications. Her work focuses on understanding therapeutic mechanisms, mental health interventions in adolescents, and the integration of technology in clinical settings. She leads projects like the JuNEX digital behavioral activation intervention for pregnant women and Motibot, a virtual coach for diabetes patients. Research interests include psychotherapy effectiveness, emotion regulation strategies, and the impact of digital tools in mental health care. She has pioneered initiatives such as the District Functional Unit for Adolescents and conducted studies on pandemic-related mental health challenges among healthcare workers and diabetes patients. Her publications emphasize network analysis in psychopathology, validation of assessment tools, and mixed-methods approaches to therapeutic communication. She has contributed to cross-cultural studies on adolescent mental health and attachment theory in high-risk populations. Key projects include the LOOK@ME network-based screening system for at-risk youth and the ERIC project evaluating eHealth interventions in diabetes management. Her work bridges clinical practice with technological innovation to address mental health disparities and improve patient outcomes.

MARIO BONATOView profile

Associate Professor

• Visuo-spatial attention
• Spatial cognition
• Clinical neuropsychology
• +3 more

Mario Bonato is an Associate Professor at the Department of General Psychology, University of Padua. His research focuses on visuo-spatial attention, spatial cognition, and clinical neuropsychology with emphasis on stroke rehabilitation and numerical cognition. He develops computer-based diagnostic tools like Auto-GEMS and investigates the effects of cognitive load on spatial processing asymmetries. His work spans neuropsychological assessment methods, including telemedicine approaches and virtual reality interventions. Key areas include the study of hemispatial neglect, temporal cognition, and the neural mechanisms underlying multitasking deficits. He has pioneered the use of transcranial electric stimulation to modulate attentional biases and explored how numerical concepts interact with spatial representations. Recent studies examine pandemic-related psychological phenomena such as collective narcissism and unfounded beliefs, linking these to behavioral responses during crises. His research integrates neuroimaging techniques (EEG) and behavioral experiments to understand cognitive impairments in neurological populations.

• Industrial Engineering
• Safety Management
• Supply Chain Optimization
• +7 more

Massimo Tronci is a Full Professor at the Department of Industrial and Information Engineering, Sapienza University of Rome. His research focuses on industrial safety systems, supply chain optimization, environmental sustainability, and resilience engineering. He holds the academic title of Full Professor (Professore di I fascia) in Industrial and Management Engineering (ING-IND/17). His work integrates advanced methodologies like Functional Resonance Analysis Method (FRAM), Quality Function Deployment (QFD), and Systems Theory to address complex industrial challenges. Key areas include ergonomic design for safety, stochastic reliability management, and digital twin applications in process safety. He has pioneered frameworks for Product-Service Systems (PSS) implementation, environmental compliance strategies, and inventory management models under uncertainty. Tronci has contributed extensively to the understanding of socio-technical systems in healthcare and manufacturing, applying resilience engineering principles to improve operational safety. His recent studies explore Industry 5.0 complexities, cyber-socio-technical systems modeling, and sustainable manufacturing practices. He maintains active collaborations in international research networks and has advised numerous institutions on quality assurance and safety management. Notable contributions include developing inventory control models for aviation spare parts, risk assessment methodologies for medical devices, and environmental audit improvements using FRAM. His research frequently intersects with policy-making, providing evidence-based recommendations for regulatory frameworks like the Seveso Directive.

• Operations Research
• Combinatorial Optimization
• Healthcare Logistics
• +3 more

Paola Cappanera is an Associate Professor of Operations Research at the Department of Information Engineering (Università di Firenze), affiliated with the School of Engineering. She is a member of the IBIS Lab. Her expertise spans combinatorial optimization, healthcare logistics, telecommunication networks, and scheduling problems. She teaches courses such as Fondamenti di Ricerca Operativa , Combinatorial Optimization , and Ottimizzazione su Reti di Flusso at both undergraduate and graduate levels. Her research focuses on optimizing healthcare delivery systems, including home care services, surgical scheduling, and resource allocation. She also addresses challenges in telecommunication networks, such as latency-aware scheduling and routing. Recent work emphasizes robustness in home care planning, equitable resource distribution, and mitigating risks in hazardous material transportation. Her articles highlight advancements in decomposition methods for scheduling, genetic algorithms for network functions, and integration of healthcare service models. Key contributions include models for emergency department physician rostering and optimizing tele-assistance systems.

Tooska DargahiView profile

Research Fellow

• Security and Privacy
• Wireless Sensor Networks
• Ad-Hoc Networks
• +3 more

Tooska Dargahi serves as a Postdoctoral Researcher at Netgroup Laboratory, University of Rome Tor Vergata, with dual affiliation at CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni). Her work bridges theoretical cryptography with practical implementations for next-generation networked systems, focusing on security architectures for resource-constrained environments including IoT devices and mobile platforms. She maintains active collaborations with international researchers across multiple institutions on cutting-edge security challenges. Her research program centers on Security and Privacy, Wireless Sensor Networks, Ad-Hoc Networks, and Attribute-Based Cryptography. She pioneers lightweight cryptographic solutions for IoT and smartphone ecosystems, develops k-anonymous frameworks for location-based services, and advances forensic methodologies for cloud storage and mobile applications. Key contributions include optimizing attribute-based encryption for constrained devices and designing novel key pre-distribution schemes for wireless sensor networks. Analysis of her publication record reveals consistent focus on applying cryptographic primitives to real-world systems. Her work spans Software-Defined Networking security, IoT device hardening, cloud/mobile forensics, and privacy-preserving location services. A distinctive trend involves translating complex cryptographic concepts into deployable solutions for infrastructure-limited scenarios, evidenced by implementations tested on Android devices and IoT platforms. Scientific recognition includes: Best Paper Award at IEEE WiMob 2017 for WLAN access control research As a core member of Netgroup Lab, Dr. Dargahi contributes to collaborative projects in network security and privacy. While the provided materials indicate extensive co-authorship with senior researchers like Mauro Conti and Giuseppe Bianchi, they contain no explicit references to student advising or principal investigator roles in grant-funded projects.

• Hardware Design for Network Devices
• Fault Tolerance
• Error Correction Codes
• +3 more

Salvatore Pontarelli is a Researcher at CNIT (Italian National Inter-University Consortium for Telecommunications), affiliated with the University of Rome Tor Vergata. He holds a Master's in Electronic Engineering from the University of Bologna (2000) and a PhD in Microelectronics and Telecommunications from the University of Rome Tor Vergata (2003). His work focuses on hardware design for network devices, fault tolerance, error correction codes, and high-speed packet processing. He contributed to EU-funded projects and received a CISCO Research Award (2011) for work on Bloom filters and Ternary CAM. Research interests include hash-based structures (e.g., Bloom filters, hash tables), stateful programmable data planes, and FPGA-based network intrusion detection systems. He led the Defect and Fault Tolerance Group (DFTGroup) under Prof. Adelio Salsano and has extensive experience in collaborative projects with academic and industry partners. Publications highlight innovations in flow monitoring, data plane optimization, and efficient memory management. His work often bridges theoretical algorithms (e.g., cuckoo hashing) with practical hardware implementations, emphasizing real-world applications in networking and telecommunications.

Lorenzo BraccialeView profile

Assistant Professor

• Security & Privacy
• Distributed Systems
• eHealth
• +7 more

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.

STEFANO RICCIARDIView profile

Associate Professor

• Augmented Reality
• Biometrics
• Computer Vision
• +3 more

Prof. Stefano Ricciardi is an Associate Professor at the Department of Biosciences and Territory, University of Molise. His research focuses on augmented reality, biometrics, computer vision, and medical simulation technologies. He has contributed to projects involving industrial maintenance systems, healthcare rehabilitation, and cultural heritage applications. His work often integrates advanced algorithms with real-world applications such as facial recognition, context-aware security frameworks, and virtual reality environments. Prof. Ricciardi's recent research emphasizes innovations in augmented reality for maintenance tasks, implicit biometric authentication, and wearable health monitoring systems. He has explored the use of machine learning techniques in medical diagnostics and developed frameworks for home rehabilitation using Microsoft Azure Kinect. His work bridges technological advancements with practical solutions in healthcare, industrial automation, and cultural heritage preservation. Key projects include the EDISON authentication framework and the 2Vita-B Physical rehabilitation system. His publications highlight interdisciplinary collaborations, combining computer science, biomedical engineering, and human-computer interaction principles. He actively publishes in top-tier venues, addressing topics like head pose estimation, dynamic simulation for production facilities, and augmented reality applications in archaeological exploration.

Francesco Giacinto LavaccaView profile

Associate Professor

• All-optical networks
• Switching architectures
• 5G networks planning and design
• +4 more

Francesco Giacinto Lavacca is an Associate Professor at Link Campus University in Rome. Previously, he held a Researcher (RTDA) position at Sapienza University of Rome's DIET Department, where he conducted postdoctoral research. His work has involved national/international projects like AAA (Advanced Avionic Architecture), NMLV (Nano Micro Launch Vehicle), NGLVCS (Next Generation Launch Vehicle Communication System), HydRON, PANTSAT, and DINOS5G, funded by ASI and ESA. Research focuses on all-optical networks, 5G infrastructure design, Network Function Virtualization, and deterministic communication protocols. His expertise bridges telecommunications with aerospace applications through collaborations with space agencies. Education includes a Laurea (M.Sc.) in Electronic Engineering (cum laude, 2013) and a Ph.D. in Information Technology (2017), both from Sapienza University of Rome. Office hours: Available post-classes or by email appointment.

• Educational Psychology
• Lifespan Development
• Digital Revolution
• +5 more

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.

• Cognitive Psychology
• Neuroscience
• Body Representation
• +5 more

Alessia Tessari is an Associate Professor at the Department of Psychology 'Renzo Canestrari', University of Bologna, specializing in Cognitive Psychology and Experimental Psychology. Her research focuses on body representation, action imitation, apraxia, and the effects of physical exercise on cognitive abilities in children and older adults. She coordinates the BRACCO research group (Body Representation and ACtion COgnition). Education : PhD in Cognitive Neuroscience (S.I.S.S.A., Trieste, 2004) MSc in Forensic Psychology (University of Padova, 2000) BSc in Experimental Psychology (University of Padova, 1998) Research Interests : Body perception and dysmorphia Neurological disorders (e.g., apraxia) Neurorehabilitation using virtual reality Cognitive effects of physical activity Motor control and visuomotor pathways Key Projects : Leading the I-MOVE study on active breaks in schools Developing VR tools for stroke rehabilitation Investigating decision-making in athletes and older adults Lab/Teams : Coordinates the BRACCO group, focusing on interdisciplinary approaches to body representation and action cognition.

Alejandro Luis CallaraView profile

Researcher

• Biomedical Signal Processing
• Neuroimaging
• Brain Connectivity
• +6 more

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.

Laura PatrussiView profile

Associate Professor

• Immunology
• Molecular Biology
• Genetics
• +3 more

Laura Patrussi is an Associate Professor at the Department of Life Sciences, University of Siena, specializing in molecular immunology and cancer biology. She leads research on tumor-immune interactions, with a focus on chronic lymphocytic leukemia (CLL) and T cell suppression mechanisms. Current teaching: Molecular Biology of the Immune Response (2025/2026 academic year) Secondary teaching: Molecular Genetics (2023/2024), Nutriogenomics and Sport Activity (2025/2026) Her research centers on: Immune checkpoint regulation in tumors Signal transduction in leukemic cells HDAC inhibition as therapeutic strategy Cytotoxic T cell differentiation Tumor microenvironment rewiring Cytokine-mediated immune evasion Recent publications highlight her work on PD-L1 modulation, STAT4/p66Shc pathways, and novel HDAC inhibitors targeting CLL. Her studies often involve collaborations with the Baldari Lab, where she works on molecular immunology and translational cancer research. Contact: laura.patrussi@unisi.it | Virtual Office