جست‌وجوی استاد و پژوهشگر

Eva Blomqvistمشاهده پروفایل

استادیار

• Decision Support Systems
• Security Domain
• Crisis Management
• +۳ مورد دیگر

Eva Blomqvist serves as an Assistant Professor in the Department of Computer and Information Science (IDA) at Linköping University, Sweden. She is actively affiliated with the MDA laboratory within the Human-Centered Systems (HCS) division, focusing on critical-domain decision support systems. Her research centers on Semantic Web technologies and ontology engineering, with specialized expertise in ontology design patterns for security and crisis management applications. She pioneered the eXtreme Design methodology for agile ontology development and contributed foundational work on ontology testing frameworks, bridging theoretical knowledge representation with real-world operational systems. Analysis of her 2009-2016 publications reveals a progressive research trajectory from foundational pattern formalization to practical engineering methodologies. Her work consistently emphasizes reusable design patterns, validation techniques, and human-centered implementation within semantic technologies, establishing her as a key contributor to ontology engineering standards. No scientific awards were documented in the source material. While student advising and grant details remain unspecified in available records, her collaborative projects indicate active research leadership in ontology development. As a core member of IDA's MDA lab (HCS division), she contributes to human-centered decision analytics research, particularly developing ontology-driven support systems for high-stakes security and crisis scenarios through projects like Networked Ontologies.

• Structural Health Monitoring (SHM)
• Smart / self-sensing cementitious composites
• Bridge engineering and life-cycle assessment
• +۶ مورد دیگر

Filippo Ubertini is Professor of Civil and Environmental Engineering at the University of Perugia, Italy, where he coordinates the International Doctoral Programme in Civil & Environmental Engineering and represents the University inside the FABRE national bridge-research consortium. He leads the Structural Health Monitoring Laboratory ( SHM-Lab ) and is the primary contact for assignments linked to smart-infrastructure research. Education: While explicit degrees are not listed in the supplied text, his role as programme coordinator and full professor implies completion of a PhD and habilitation in Civil Engineering. Research focus: Ubertini’s work sits at the intersection of smart materials and data-driven infrastructure management . He develops self-sensing cementitious composites doped with carbon micro-fibers or graphene nano-platelets that can measure strain, cracking and moisture in real time, turning whole bridges and buildings into distributed sensors. Complementary research threads include low-cost acquisition electronics, UAV & InSAR remote sensing, Bayesian & adversarial machine-learning algorithms for damage detection, digital twins and life-cycle cost analysis of bridge networks. Publication trends (2024-2025): Roughly 30 peer-reviewed items per year concentrate on (i) AI-enhanced operational modal analysis and transfer-learning damage classification across bridge populations, (ii) experimental characterisation of 3D-printed and cast self-sensing concrete, (iii) full-scale validation on curved box-girder, masonry and railway bridges, and (iv) integration of satellite radar data with numerical collapse simulations to predict residual service life of landslide-affected viaducts. Scientific awards & recognition: No specific prizes or fellowships are mentioned in the provided text. Doctoral supervision & grants: The text does not enumerate individual students or funded projects; however, his coordination of an international PhD programme and numerous experimental campaigns imply sizeable supervisory and funding responsibilities. Laboratory & team: Ubertini heads the SHM-Lab at UniPg, maintaining facilities for material mixing, 3D concrete printing, electrical impedance tomography, UAV photogrammetry, and large-scale structural testing, while collaborating with the European FABRE consortium and multiple EU projects.

Gian Pietro Piccoمشاهده پروفایل

استاد

• Building Automation
• Pervasive Computing
• Software Engineering
• +۱۲ مورد دیگر

Gian Pietro Picco is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research focuses on wireless networks, particularly ultra-wideband (UWB) technology, wireless sensor networks, and cyber-physical systems. He teaches courses including Distributed Systems, Low-power wireless networking for the Internet of Things, and Programming 2. Professor Picco's research interests span several interconnected domains in pervasive computing and networking: Ultra-wideband (UWB) technology for precise localization and communication Wireless sensor networks and Internet of Things (IoT) systems Cyber-physical systems and networked control Energy-efficient networking protocols Distributed systems and middleware Software engineering approaches for networked embedded systems His recent publications demonstrate a strong focus on ultra-wideband technology applications, particularly in localization, ranging, and concurrent transmissions. His work bridges theoretical foundations with practical implementations, often addressing real-world challenges in human-robot interaction, contact tracing, and infrastructure monitoring. A notable trend is the increasing application of UWB technology for precise positioning in complex environments, with significant contributions to understanding and mitigating human occlusion effects on ranging accuracy. Professor Picco has received numerous prestigious awards for his research contributions: Best Paper Award at IPSN'23 for "Network On or Off? Instant Global Binary Decisions over UWB with Flick" Best Paper Award at IPIN 2019 for "TALLA: Large-scale TDoA Localization with Ultra-wideband Radios" Best Paper Award at EWSN 2018 for "Concurrent Ranging in Ultra-wideband Radios" Best Paper Award at IPSN 2015 for "Geo-referenced Proximity Detection of Wildlife" Best Paper Award at IPSN 2011 for "Wireless Sensor Networks for Adaptive Lighting in Road Tunnels" Best Paper Award at IPSN 2009 for "Monitoring Heritage Buildings with Wireless Sensor Networks" Mark Weiser Best Paper Award at PerCom 2012 Professor Picco actively advises numerous PhD and Master's students, with several of his advisees becoming prominent researchers in wireless networking. His laboratory has secured significant funding for research projects in wireless sensor networks, IoT systems, and cyber-physical systems. His work has practical applications in heritage building monitoring, wildlife tracking, road tunnel lighting systems, and pandemic contact tracing. His research group maintains the Cloves large-scale ultra-wideband testbed and has developed several middleware systems for wireless sensor networks, including Lime and TeenyLIME. The group collaborates extensively with international research institutions and has made significant contributions to standardization efforts in IoT networking protocols.

Agostino Cortesiمشاهده پروفایل

استاد

• Software Engineering
• Static Analysis
• Cybersecurity
• +۵ مورد دیگر

Agostino Cortesi is a Full Professor at Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Informatics and Statistics. He serves as Rector's Delegate for Research Quality Assessment and Deputy Coordinator of the Scientific Committee for the Innovation Ecosystem Project. His academic career includes a PhD in Applied Mathematics and Informatics from the University of Padova (1992), a postdoctoral fellowship at Brown University, and visiting professor roles at institutions such as the University of Illinois and École Normale Supérieure Paris. Research interests focus on software engineering , static analysis , security applications , and abstract interpretation . He has pioneered techniques for formal verification of software systems and explored cybersecurity in e-Government and robotics. His work spans over 200 publications in top journals and conferences (e.g., ACM TOPLAS, IEEE TSE, POPL, PLDI). Key contributions include advancements in abstract domains for behavioral property verification and security-oriented analysis frameworks. He has held leadership roles including Vice-Rector at Ca' Foscari, Dean of Computer Science programs, and Chair of the Department of Computer Science. Cortesi coordinates EU Horizon 2020 projects (e.g., Families_Share €1.6M) and regional initiatives like CEVID (€360K). He founded Factors , a university spin-off focused on robotic systems verification, which won the 2020 Veneto SmartCup ICT Prize. Education: PhD in Applied Mathematics and Informatics (1992, University of Padova) Editorial Roles: Co-Editor-in-Chief of Springer’s 'Services and Business Process Reengineering', and member of editorial boards for 'Computer Languages' and others Grants: Over €3M in EU and regional funding for projects in cybersecurity, Industry 4.0, and digital innovation Teaching includes courses on Software Correctness , Data Programming , and Computer Networks across Computer Science and Management programs. His research lab actively engages in industrial partnerships with Cisco, Leonardo, and AGID (Italy’s Digital Agency).

Joanna Cecilia da Silva Santosمشاهده پروفایل

استادیار

• Software Engineering
• Software Security
• Code Generation
• +۴ مورد دیگر

Joanna Cecilia da Silva Santos is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame , where she leads the Security and Software Engineering research lab (S 2 E) . She earned her Ph.D. and M.Sc. in Computing and Information Sciences from Rochester Institute of Technology (RIT) and a B.Sc. in Computer Engineering from Federal University of Sergipe (UFS) . Research Interests: Her work focuses on the intersection of Software Engineering and Software Security , with specific emphasis on Code Generation , Program Analysis , Software Architecture , and Quantum Software Engineering . Recent projects include evaluating large language models for code generation, detecting regular expression denial-of-service vulnerabilities, and creating taint-based analysis tools for Java security. 2025: Code generation benchmarks, LLM performance in programming assignments 2024: Frameworks for secure code generation, ReDoS analysis, static analysis of deserialization 2023: GitHub Copilot complexity prediction, vulnerability characterization 2022: Transformer-based code smell detection, security evaluation datasets Scientific Awards: 2017 Best Paper Award at ICSA 2020 JOBS Workshop Research Pitch Competition Winner 2023 Distinguished Reviewer at ESEC/FSE 2014 CAPES Scholarship for Masters at RIT 2013 3rd Place Paper at XIII ERBASE Her research group engages in empirical studies of code vulnerabilities, automated security tools, and educational applications of language models, with funding reflected in multiple peer-reviewed publications.

• Digital Circuits and Systems
• Energy-Efficient Circuits and Systems
• Embedded Systems
• +۷ مورد دیگر

Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)

• Advanced Building Envelopes
• Building Energy Performance
• Experimental Facilities
• +۷ مورد دیگر

Valentina Serra is a Full Professor at the Department of Energy (DENERG), Polytechnic University of Turin, and a member of the Future Urban Legacy Lab (FULL Center). She specializes in advanced building envelopes , energy performance , and indoor environmental quality , with a focus on experimental facilities and sustainable materials. Research Interests: Adaptive façades, PCM integration, thermochromic coatings, and acoustic absorption using natural waste materials. Projects: Scientific Director for EU-funded Wall-ACE (2016–2019), PRIN (2019–2021), and regional research initiatives like GRE_EN_S (2010–2012). Awards: Member of the Energy and Buildings editorial board since 2019, Program Chair for SEB-16, and organizer for IBPC 2015. Teaching: Course Lecturer for Eco-Friendly Architectural Design B at Politecnico di Torino since 2021. Students: Supervises PhD candidates like Ramona Russo and Giorgia Autretto, focusing on occupant-centric design and PCM-based systems. Patents: Co-inventor of the national patent NBT - Not Bed Technology .

• Cybersecurity
• Network Security
• Security Automation
• +۵ مورد دیگر

Daniele Bringhenti is a Fixed-term Researcher at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino , and also holds external teaching roles at the University of Eastern Piedmont . His work focuses on Cybersecurity , Network Security , and Security Automation , with expertise in Distributed Systems , Theoretical Computer Science , and Formal Methods . His research integrates ERC sectors PE6_2 (Distributed Systems), PE6_5 (Security, Privacy), and PE6_4 (Theoretical Computer Science). Recent publications address automated cybersecurity management , firewall policy optimization , and intent-based network isolation . Scientific Awards include the ICICS Best Demo Award (2022) . He serves as Guest Editor for the Journal of Network and Systems Management (2024-2025) . His teaching roles span Master's and Bachelor's programs , including courses on Distributed Systems Programming , Threat Intelligence , and Network Security .

• Ceramics
• Coatings
• Crystallographic Texture
• +۷ مورد دیگر

Luca Lutterotti is an Associate Professor at the University of Trento , Department of Industrial Engineering, specializing in material characterization techniques. His expertise spans X-ray diffraction (XRD) , X-ray fluorescence (XRF) , and electron diffraction , with a focus on nanomaterials , functional materials , and crystallographic texture . He developed the widely used MAUD software for Rietveld refinement and texture analysis, with over 30 daily downloads since 2000. Education : Laurea in Materials Engineering (1988, University of Trento, Italy), HDR in Fundamental Sciences (2010, Université de Caen-Basse Normandie) His research interests include micromechanics , residual stress analysis , quantitative phase analysis , and archeometry . He has led international projects like EIT Raw Materials Paired-X (2018-2021) and coordinated the SOLSA H2020 project (2016-2020), which introduced automated core analysis systems for mining. His work has secured €1.5 million in European funding. Recent publications emphasize combined XRD-XRF methodologies , neutron diffraction , and automated material analysis , particularly in mining and recycling. Key tools include MILK (Python interface for MAUD) and advanced detectors for portable systems. Scientific Awards : HDR (2010), Chaire of Excellence (2012-2014) He has held visiting positions at UC Berkeley , Université du Maine , and JAEA (Japan Atomic Energy Agency) , contributing to global collaborations in material science and mining technologies.

Marco Aldinucciمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +۷ مورد دیگر

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

Giuseppe Desoldaمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Usable Security
• End-User Development
• +۴ مورد دیگر

Giuseppe Desolda is an Associate Professor at the Computer Science Department of the University of Bari Aldo Moro , where he has been since July 2, 2022. He leads research at the Interaction, Visualization, Usability & UX (IVU) Lab , focusing on Novel Interaction Techniques , Internet of Things development, and Usable Security . His work includes coordinating the PRIN PNRR DAMOCLES project (2022-2025) on human-centric cybersecurity and leading Work Package 1 of PNRR SERICS. PhD in Computer Science from University of Bari Co-author of over 110 publications Associate Editor for IEEE Access Journal Research interests span Human-Computer Interaction (HCI), End-User Development (EUD) for IoT, and Usable Security systems. His recent work explores AI-driven usability evaluation, voice-based 3D modeling, and GDPR-compliant software frameworks. Article trends show focus on phishing mitigation , smart environment customization , and privacy-by-design methodologies. Publications appear in TOCHI , FGCS , IJHCS , and BIT . Scientific achievements include: Selected for Heidelberg Laureate Forum (2019) LARE spin-off grant (EUR 50,000, 2013) He supervises PhD students Andrea Esposito and Francesco Greco, and has advised multiple funded research projects (PRIN DAMOCLES, DevProDev, PNRR SERICS). Teaching roles include courses on Human-Centered AI, IoT Security, and Web Programming across undergraduate and graduate programs.

• Manufacturing Engineering
• Product Lifecycle Management (PLM)
• Production Technology
• +۷ مورد دیگر

Franco Lombardi is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic of Turin , with affiliations to the J-Tech@PoliTO Interdepartmental Center . He has been a PhD college member for the Production Systems & Industrial Design program since the 19th cycle (2003/2004) and served as a course lecturer in Production Systems (Management Engineering) and Graphic Communication and Mechanical Manufacturing (Industrial Production Engineering) since 2019/2020. Research Focus: Manufacturing technologies, product lifecycle management (PLM), Industry 4.0, sustainable production systems, joining processes, and human-centric knowledge management frameworks. Article Trends: Recent work spans friction stir welding of industrial alloys (2025), sustainability evaluation of AI in product lifecycles (2024), integration of Industry 4.0 in agriculture (2024), and additive manufacturing eco-design (2024). Earlier projects include reconfigurable production systems (2009) and real-time production planning (2019). Grants and Projects: Scientific manager for PNRR-funded initiatives like AGRITECH Spoke 6 (2022-2025) and MANAGE5.0 (2022-2024), alongside regional projects such as TECNOPROTEO (2024-2027) and DynLab4JMat (2018-2021). Collaborated on national patents for gear machining processes. PhD Advisees: Temur Turgunboev (Ingegneria Gestionale), Nicolo Grasso (Gestione, Produzione E Design), Giovanni Marongiu (Gestione, Produzione E Design), Benedetta Fasciolo (Gestione, Produzione E Design), Luigi Panza (Gestione, Produzione E Design), Alberto Faveto (Gestione, Produzione E Design).

• Cybersecurity
• Network Security
• Automotive Cybersecurity
• +۵ مورد دیگر

Mirco Marchetti is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. He specializes in cybersecurity, network security, and automotive systems. His teaching responsibilities include courses on cybersecurity fundamentals, computer networks, operating systems, and automotive cyber defense. Research interests focus on intrusion detection systems (IDS), vehicular networks (VANETs), machine learning applications in cybersecurity, and automotive cybersecurity. He has contributed to projects like HackCar (automotive attack/defense testbed) and RealCAN (real-time CAN bus analysis tools). His work also explores adversarial attacks on ML-based systems and secure communication protocols for industrial and vehicular systems. Recent publications emphasize automotive cybersecurity (e.g., Mercedes-Benz infotainment system analysis, CAN bus anomaly detection), ML robustness against adversarial attacks, and zero-trust architectures. He collaborates with the SECloud research group (secloud.ing.unimore.it) and uses experimental platforms like Software-Defined Radios for security evaluations. Teaching responsibilities span multiple academic programs including Master's degrees in Computer Engineering and Artificial Intelligence Engineering. Courses emphasize practical skills in Linux/Unix administration, network configuration, and embedded system security.

Markus Borgمشاهده پروفایل

مدرس

• Artificial Intelligence
• Software Engineering
• Empirical Software Engineering
• +۱۱ مورد دیگر

Dr. Markus Borg is a Senior Researcher and Adjunct Lecturer at Lund University, Sweden, specializing in the intersection of software engineering and applied artificial intelligence. He is a Principal Researcher at CodeScene and contributes to editorial boards for Empirical Software Engineering and IEEE Software . His work bridges academic research with industrial practice through collaborations with Ericsson and contributions to open-source tools like SMIRK. Markus's research focuses on empirical software engineering , technical debt , safety engineering , and requirements engineering for AI-integrated systems. He explores two key directions: AI4SE (applying machine learning to software engineering challenges like defect management and technical debt remediation) and SE4AI (ensuring quality assurance for ML components in safety-critical domains such as automotive systems). His work aligns with regulatory frameworks like the EU AI Act and industry standards for automotive safety. 2025 Contributions : Gamify Track: Two papers on gamification in software maintainability ICSE Journal-First: Longitudinal study on automated bug assignment at Ericsson IDE Track: Trust calibration in AI-assisted refactoring TechDebt Technical Papers: ACE tool for LLM-based technical debt remediation 2024 Contributions : PROFES: AI Act compliance in requirements engineering MO2RE: Code quality specifications TechDebt: Maintainable code ROI analysis Programming with AI: CodeScene platform demonstration 2023 Contributions : CAIN: ML testing in automotive perception systems EASE: Code ownership and defect resolution Mutation Track: Safety-critical mutation testing validation His recent publications emphasize automated defect management , LLM-driven refactoring , and safety validation for ML components , particularly in automotive contexts. Tools like SMIRK and ACE demonstrate practical applications of his research. Markus actively participates in program committees for ICSE, TechDebt, and ICSME, with a focus on bridging academic research with industrial AI/SE challenges.

• Photogrammetry
• Remote Sensing
• Geomatics
• +۱۲ مورد دیگر

RONCELLA Riccardo is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy, where he has been employed full-time since 2008 and promoted to Associate Professor in 2014. He qualified as a Full Professor through Italy’s National Scientific Qualification in 2017. His academic work spans photogrammetry, remote sensing, geomatics, and civil engineering, with strong applications in environmental monitoring, cultural heritage, and geohazard assessment. Ph.D. in Civil Engineering, University of Parma, 2006 M.Sc. in Civil Engineering, University of Parma, 2002 (110/110 magna cum laude) Prof. Roncella’s research focuses on photogrammetry, UAV-based remote sensing, digital image correlation, and 3D modeling, with applications in rock slope stability, cultural heritage documentation, environmental monitoring, and precision agriculture. His work integrates advanced image matching algorithms and software development for geospatial analysis. He has led the development of several software tools including EyeDEA, RockScan, DICe, DenseMatcher, and SlopeMonitor. His publication record includes over 70 journal papers in top-tier journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Rock Mechanics and Rock Engineering, and Remote Sensing. His recent work emphasizes automated monitoring, HBIM, low-cost sensing, and digital twin creation, showing a consistent trend toward practical, scalable solutions in geomatics and civil engineering. Scientific Awards: Best Ph.D. Italian Thesis - Autec Price (2006) Prof. Roncella has secured significant research funding as Principal Investigator (PI) and Co-Investigator (CI), including an ARC Discovery Project (AUD 385K), ACARP funding (AUD 210K), and EU POR FESR grants exceeding €1 million. He has mentored over 30 MEng students and supervised multiple PhD candidates. He also serves on scientific committees and editorial boards, including Remote Sensing (MDPI), and acts as a reviewer for leading journals and grant agencies. He leads collaborative research with institutions such as Politecnico di Milano, University of Florida, UCL, TU Delft, University of Newcastle, and INAF. His laboratory engages in interdisciplinary projects involving UAVs, stereo photogrammetry, and change detection for civil and environmental applications.