جست‌وجوی استاد و پژوهشگر

• Data Mining
• Database Systems
• Explainable AI
• +۵ مورد دیگر

Elena Maria Baralis is a Full Professor at the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. She serves as Pro-Rector, member of the Board of Directors (without voting rights), member of the Academic Senate (without voting rights), and coordinator of the University's Permanent Observatory for Monitoring the Academic Sector. She chairs the Control and Computer Engineering Department and previously chaired the Computer Engineering School from October 2012 to October 2018. Her research interests focus on database systems and data mining, specifically explainable AI, bias detection in data analytics, and machine learning algorithms for big data. Her work spans various application domains including predictive maintenance, Industry 4.0, and healthcare. Recent publications demonstrate her expertise in speech processing, bias mitigation, and innovative neural network architectures like Kolmogorov-Arnold Networks. Her research output shows a clear trend toward addressing fairness and explainability in AI systems while exploring novel approaches to speech and language understanding. Professor Baralis has received significant recognition including becoming a Fellow of the Academy of Sciences of Turin in 2017. She has served as Editor-in-Chief for IEEE Internet of Things Journal (2016-2019) and Knowledge and Information Systems (2014-present). She actively mentors doctoral students including Claudio Savelli (researching Machine Unlearning), Eleonora Poeta, Giuseppe Gallipoli, Alkis Koudounas, and others. Her research is supported by numerous projects including AI4CTI (Artificial Intelligence for Cyber Threat Intelligence, 2025-2028), Smart manufacturing driven by Machine Learning in Industry 4.0 (2019-2020), and I-REACT (2016-2019).

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.

• Software Engineering
• Energy-Efficient Systems
• Software Architecture
• +۴ مورد دیگر

Ivano Malavolta is an Associate Professor in Software Engineering at the University of Urbino , focusing on energy-efficient software, software architecture, and model-driven engineering (MDE). His research bridges robotics, mobile systems, and sustainability, emphasizing empirical methods and industrial applicability. Key Research Areas: Energy-efficient software, microservices, robotics systems, collaborative modeling, mobile application performance. Affiliations: Department of Software Engineering, University of Urbino. His recent publications highlight empirical studies on energy consumption patterns in robotics, mobile apps, and AI systems. He has contributed to frameworks like the Green Software Measurement Model (GSMM) and tools for architectural technical debt analysis. Notably, he has co-authored 15+ peer-reviewed articles in venues such as Journal of Systems and Software , Information and Software Technology , and ACM/IEEE conferences . His work often involves cross-platform comparisons (e.g., Electron vs. Web, Pandas vs. Polars) and systematic mappings of software engineering practices.

Marchegiani Maria Letiziaمشاهده پروفایل

استادیار

• Signal Processing
• Machine Learning
• Robotics
• +۹ مورد دیگر

Maria Letizia Marchegiani is an Assistant Professor at the University of Parma , affiliated with the Department of Engineering and Architecture . Previously, she held academic positions at Aalborg University (2019) and Oxford Robotics Institute (2014-2018). Education: PhD in Computer Science and Engineering from Sapienza - University of Rome , MSc/BEng in Computer Engineering Her research interests span signal processing , machine learning , and their applications to robotics , autonomous systems , intelligent transportation , and intelligent healthcare . She explores intersections between auditory perception , cognitive modeling , and energy-efficient wearable systems . Recent publications demonstrate expertise in acoustic event localization , ML-SDWSN architectures , thermal camera integration for vehicles, and privacy-preserving wearable systems . Her work addresses challenges in network reliability , urban soundscapes , and human-robot collaboration .

• 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.

• Human-Computer Interaction
• User Experience (UX)
• Human-Centered Artificial Intelligence
• +۴ مورد دیگر

Grazia Ragone is a Postdoctoral Researcher at the IVU Laboratory , Department of Computer Science, University of Bari Aldo Moro. Holding a PhD in Human-Computer Interaction from the University of Sussex and a Master's in Psychological Research Methods, she specializes in Usability, User Experience (UX), and Human-Centered AI , focusing on systems that integrate human factors for enhanced technology interaction. Academic Background: PhD in Human-Computer Interaction (University of Sussex, UK), Master’s in Psychological Research Methods (University of Bari) Key Research Areas: Social Motor Synchrony, Child-Computer Interaction, Trustworthy AI, Embodied Interaction, Autism Research, Usability Engineering Her recent work on the Future Artificial Intelligence Research (FAIR) project develops new metrics for human-AI symbiosis. She has presented at major conferences like Interaction Design and Children (IDC) and Advanced Visual Interfaces (AVI) , with publications in ACM Transactions and Springer LNCS. Scientific awards include the Microsoft Research Best Student Research Competition (2021) and IDC Conference Best Work in Progress (2020). Grazia actively contributes to academic governance as a member of ACM SIGCHI and SIGCHI Italy , and has organized international conferences like INTERACT 2021. She has delivered workshops on Child-Centered AI at institutions including the University of Delft and Sussex University.

• Big data
• Data science
• Data analytics
• +۱۲ مورد دیگر

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

• Arabic Language Teaching
• Applied Linguistics
• Second Language Acquisition
• +۵ مورد دیگر

Vicente Martí Tormo is a Contract Lecturer at the Department of Asian and North African Studies, Ca' Foscari University of Venice. He has held teaching roles at the University of Macerata and the University of Granada, focusing on Arabic language, translation, and computer science for Eurasian studies. His academic work spans pedagogy, applied linguistics, and Arab-Andalusian cultural studies. Education: PhD in Estudios Árabes e Islámicos, Universidad de Granada, 2017 Master in Culturas Árabe y Hebrea: Pasado y Presente, Universidad de Granada, 2008 Laurea in Filologia Araba, Universidad de Granada, 2008 Laurea in Storia, Università di Alicante, 2004 His research interests include Arabic as a second language, applied linguistics, dialectology, and the cultural dimensions of Arab language use. He has contributed to educational innovation projects involving audiovisual resources and online learning platforms. His publications focus on teaching methodology and pragmatic competence in Arabic. The articles reflect a consistent focus on Arabic language pedagogy, corpus-based instruction, and cultural-literary analysis. He has also delivered seminars on sociolinguistic contexts, proxemics, and Arab influence on Spanish gastronomy. Scientific Awards: No awards listed. He has participated in conferences such as WOCMES 2010 and delivered guest lectures on Andalusian music and poetic genres. He has been involved in curriculum development and multimedia integration in language teaching. There is no mention of advised students or research grants. His role is primarily instructional, with a strong emphasis on methodological innovation and cultural integration in Arabic language education.

• Nuclear Physics
• Accelerator Physics
• Medical Physics
• +۷ مورد دیگر

Giacomo Cuttone is a Research Director at the INFN - Southern National Laboratories of Catania (INFN-LNS), a leading Italian research institution in nuclear and accelerator physics with significant applications in medicine. He has held key national and international roles, including MIUR delegate for H2020-Euratom and Italian coordinator of the KM3NeT ESFRI project. Though not a university faculty member in the traditional sense, his academic-level research, teaching at the University of Catania, and leadership in large scientific collaborations affirm his status as a senior academic researcher. PhD in Physics, majoring in Nuclear Physics with specialization in Accelerator Physics, University of Catania (1983) His research interests center on accelerator physics , medical physics , and hadrontherapy , with a strong focus on translating fundamental physics into clinical applications such as proton and ion therapy for cancer treatment. He has pioneered the development of the CATANA protontherapy facility, the first and only operational Italian center for ocular melanoma, treating over 500 patients. His work extends to neutrino astronomy (KM3NeT), Monte Carlo simulations (GEANT4), and nuclear fragmentation studies for therapy planning. The 15 most recent articles reflect a consistent trajectory in medical applications of accelerators , beam physics , and interdisciplinary research . They span topics from protontherapy clinical outcomes and quality assurance to advanced ion source development and neutrino telescope instrumentation. Keywords such as Medical Physics, Accelerator Physics, and Nuclear Physics recur, with sub-fields including proton therapy, dosimetry, Geant4 simulation, and hadrontherapy technology transfer, highlighting his dual focus on fundamental science and real-world healthcare impact. Scientific awards and recognitions include: Researcher of Excellence, awarded by VINCA Institute and Italian Embassy in Belgrade Selected for the Chair of Medical Physics at the University of Groningen (2017) Selected by INFN for Director of Legnaro National Laboratories (2009) He has supervised numerous PhD and research students indirectly through INFN-LNS projects and collaborations, though specific names are not listed. He has led major grants including PON Km3NeT-Italia (€21M), EMSO-Medit (€4M), IDMAR (€40M), and ELIMED (€2.4M), demonstrating exceptional grant leadership. His work in technology transfer has resulted in commercial prototypes with companies like IBA, CAEN, and Detector, particularly in dosimetry and quality assurance systems. Giacomo Cuttone leads or has led several major research teams and laboratories, including the CATANA protontherapy facility, the GEANT4-INFN collaboration, and the interdisciplinary marine lab IDMAR. He coordinated the MAESTRO European network and currently chairs the Sicilian regional table on protontherapy. As former Director of INFN-LNS (2011–2018), he significantly expanded the lab’s scientific, economic, and social impact, positioning it as a strategic research infrastructure in Italy.

• Computer Music
• Optical Networks
• Optimization
• +۹ مورد دیگر

Cristina Emma Margherita Rottondi is an Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . She is a member of the Photonext Interdepartmental Center and contributes to research in telecommunications, computer music, and network optimization. Her work spans privacy-preserving protocols, smart grid communication, and low-latency audio streaming. Research Interests : Networked Music Performance, Optical Networks, Smart Grid Privacy, Machine Learning. Education : Not explicitly listed. Research Areas include: Smart Grid Privacy : Developing secure protocols for data aggregation and distributed energy optimization. Optical Network Design : Investigating machine learning-driven solutions and spatial division multiplexing. Networked Music Performance : Addressing latency and inclusivity in remote musical collaboration. Publication Trends highlight interdisciplinary work at the intersection of telecommunications , machine learning , and music technology . Recent articles focus on privacy-preserving smart grids , 5G-enabled musical IoT , and UDP packet trace datasets . Scientific Awards : 2020 Charles Kao Award Best Paper Awards at IEEE Online Greencomm (2014), DRCN (2017), and others N2Women Rising Star (2020) Advising includes PhD candidates working on networked music performance , accessible musical education , and medical wearable devices . She has contributed to national patents for inclusive audio hardware.

Claudia Rinaldiمشاهده پروفایل

پژوهشگر

• Telecommunications
• Signal Processing
• Wireless Sensor Networks
• +۴ مورد دیگر

Claudia Rinaldi is a Post Doctoral Researcher at the Faculty of Engineering , University of L'Aquila , with a focus on telecommunications and signal processing. She contributes to projects involving Wireless Sensor Networks (WSN) , Software Defined Radio , and Cognitive Radio applications in both engineering and artistic domains. Doctorate in Wireless Communications (2009, University of L'Aquila) Master's in Electronic Engineering (cum laude) with thesis work at KTH Stockholm Trumpet graduate from Conservatory of Music "A. Casella", L'Aquila (2006) Her research spans physical layer protocol design , WSN applications in electronic music , and MAC layer optimization for WiMax. Key projects include: RFSounding : Interactive installation converting radio frequencies to audible sound Homeland Security : Wireless perimeter monitoring systems SMILING : Home automation sensor technologies VISION : 3D video sensing with UWB radios She has taught Signal Analysis , Wireless Communications , and Electrical Communications , and contributed to book chapters in Technological Innovation and Springer Verlag publications.

Stefano DI TOREمشاهده پروفایل

استاد

• Educational Technology
• Artificial Intelligence in Education
• Virtual Reality (VR) and Augmented Reality (AR)
• +۶ مورد دیگر

Stefano DI TORE is a Full Professor at the Department of Political and Social Studies (DISPS) at the University of Salerno. His work focuses on leveraging emerging technologies like AI, VR/AR, and 3D printing to enhance educational practices, cultural heritage preservation, and inclusive learning environments. He actively contributes to projects such as ScanItaly, which digitizes archaeological artifacts for accessibility, and develops edugames like 'Virtual Class' and 'Trot' to improve perspective-taking and emotional intelligence. His research also explores robotics (e.g., ASD-Robot) for supporting children with autism spectrum disorder. He maintains active roles in teacher training, media education, and international collaborations through Erasmus+ programs. Education and Professional Background: While specific educational qualifications aren’t explicitly listed, his professorial role and extensive publication history in interdisciplinary fields indicate advanced academic credentials in educational technology and social sciences. Research Interests: Stefano’s work bridges technology and pedagogy, emphasizing: - AI-driven inclusion tools in schools and museums - VR/AR applications for cultural heritage and classroom innovation - Robotics and edugames for neurodiverse learners - Digital twin technologies for historical preservation - Teacher training in emerging technologies Labs/Teams: Leads projects in the DISPS department, including the Lab-H (focused on 3D printable educational resources) and collaborates on initiatives like ScanItaly. His work often involves interdisciplinary teams across education, computer science, and cultural studies. Grants/Advising: No specific grants listed, but his involvement in PNRR orientation paths and international agreements suggests funded projects. Advising records aren’t detailed in the provided texts.

Andrea D'Ambrogioمشاهده پروفایل

دانشیار

• Software and Systems Engineering
• Systems and Software Performance Engineering
• Model-Driven Systems Engineering
• +۳ مورد دیگر

Prof. Andrea D'Ambrogio is an Associate Professor of Software and Systems Engineering at the Department of Enterprise Engineering, University of Roma 'Tor Vergata' (Italy). He previously held roles such as Assistant Professor of Computer Science and Research Associate at the same university, and contributed to projects in Europe and internationally. His research focuses on software/systems performance, model-driven engineering, business process management, and distributed simulation. He has led over 20 international conferences and initiated workshops like CoMetS and Mod4Sim. He currently serves as President of the Society for Modeling & Simulation International (SCS), and is a member of IEEE, ACM, and INCOSE. Research Contributions: Prof. D'Ambrogio has authored over 150 publications in journals and conferences. His work emphasizes simulation engineering processes, MSaaS (Modeling & Simulation as a Service), and the integration of IoT with business processes. Recent studies address distributed simulation interoperability, pandemic impact analysis on healthcare systems, and low-code simulation frameworks. Leadership & Editorial Roles: He has served as General Chair for major events like SpringSim'19 and SummerSim'18. He is an Associate Editor of the SIMULATION journal and editorial board member of IAENG International Journal of Computer Science. His leadership in SCS advances global standards in modeling and simulation practices. Teaching: Teaches courses such as Service-Oriented Software Engineering, Software Systems, and Internet-Based Distributed Simulation. His academic contributions span both theoretical advancements and practical applications in enterprise systems engineering.

Antonio Servettiمشاهده پروفایل

استادیار

• Speech and Audio Processing
• Multimedia Communications
• Real-Time Multimedia Network Protocols
• +۷ مورد دیگر

Antonio Servetti is an Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy, where he has been a faculty member since 2007. He is affiliated with the Internet Media Group (IMG) and the Interdepartmental Center PIC4SeR for Service Robotics. His work bridges multimedia processing, network communications, and web technologies. MS in Computer Engineering, Politecnico di Torino, 1999 PhD in Computer Engineering, Politecnico di Torino, 2004 Visiting Scholar, University of California, Santa Barbara, 2003 His research focuses on speech and audio processing , multimedia communications over wired and wireless networks , and real-time web-based multimedia applications . Key interests include WebRTC, Web Audio, HTTP adaptive streaming, and perceptual quality assessment. He has contributed to the development of secure multimedia transmission techniques, including selective encryption of speech and audio. The recent publications highlight a strong trend toward AI-driven modeling of subjective quality in multimedia, especially through deep learning for image and video quality prediction, understanding observer behavior, and remote music performance systems. His work often involves collaboration with researchers in the VQEG JEG-Hybrid group and the NEXA Center. Best Paper Award, Web Audio Conference 2021 Dr. Servetti has led and contributed to several research projects, including BRIC-2024 (acoustics in educational settings), PNRR HiFiReM (remote music education), and INAR (artistic research). He teaches courses such as 'Web Applications', 'Machine Learning for Vision and Multimedia', and 'Digital Audio Processing' across various engineering programs. He is also involved in educational governance as a member of academic councils for multiple degree programs. He is a core member of the Internet Media Group (IMG) , which focuses on multimedia processing and transmission, and contributes to the VQEG JEG-Hybrid working group on video quality assessment, where he develops frameworks for reproducible research and modeling of human perception.

Laura Pollacciمشاهده پروفایل

پژوهشگر ارشد

• Social Network Analysis
• Visual Analytics
• Human Migration
• +۵ مورد دیگر

Laura Pollacci is a postdoctoral researcher at the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group of the Information Science and Technology Institute of the National Research Council (CNR) in Pisa and the University of Pisa, where she holds a position as Research Fellow in the Department of Computer Science. Her educational background includes: Bachelor's Degree in Digital Humanities (2014) from University of Pisa with 110/110 cum laude Master's Degree in Digital Humanities (2015) from University of Pisa with 110/110 cum laude PhD in Computer Science (2019) from University of Pisa with thesis on 'conjunct usage of Big Data and Sentiment Analysis for the study of Human Migration' Pollacci's research focuses on Social Network Analysis and Visual Analytics for Social Mining, Human Migration, and Sentiment Analysis. Her work bridges computational methods with social science questions, particularly examining how digital traces can reveal patterns in human behavior, migration, and emotional expression across social platforms. She has developed expertise in analyzing complex social networks, music diversity, and political polarization through data-driven approaches. Her publication record shows a clear trajectory from computational linguistics and sentiment analysis toward broader applications in social network analysis, migration studies, and musicology. Early work focused on emotive lexicon development and sentiment polarity classification for Italian language, while more recent publications examine political polarization on Reddit, human migration patterns through big data, and the fractal dimensions of music diversity. Pollacci is actively involved with the HumMingBird project, which focuses on 'Enhanced migration measures from a multidimensional perspective.' Her work at KDDLab places her at the intersection of data science and social research, contributing to the laboratory's mission of developing theory, techniques and systems for extracting knowledge from large data sets.