Michele Zorzi is a Professor of Telecommunications at the School of Engineering, University of Padova, Italy, where he has held a faculty position since 2003. He leads the SIGNET (Signal processing and Networking) Research Group, focusing on cutting-edge wireless networking challenges including mmWave communications and underwater networks. His extensive publication record exceeds 600 papers in top-tier journals and conferences, reflecting significant contributions to the field through both theoretical and experimental work. He received his Laurea Degree (1990) and Ph.D. (1994) in Electrical Engineering from the University of Padova. Prior academic appointments include Politecnico di Milano (1993-1996), University of California San Diego (1995-1998), and University of Ferrara (1998-2003), where he progressed from Associate Professor to full Professor. His educational trajectory demonstrates deep roots in Italian academia with international exposure. Professor Zorzi's research spans wireless communications and networking, with current emphases on mmWave networking for vehicular systems, underwater acoustic/optical communications, non-terrestrial networks, and AI-driven networking solutions. His group conducts experimental validations including at-sea trials for underwater systems and testbeds for vehicular networks. Key projects include PRATA for predictive QoS in autonomous driving and IoT-based environmental monitoring of the Venice Lagoon, demonstrating practical applications of theoretical work. Analysis of his 2022-2025 publications reveals strong trends in applying artificial intelligence to networking challenges across diverse environments. There is significant emphasis on vehicular networks (predictive QoS, teleoperated driving), underwater systems (acoustic/optical communications, AUV swarms), and satellite networks (Starlink integration, NTN security). Experimental validation in real-world scenarios like the Venice Lagoon monitoring project and underwater sea trials characterizes his applied research approach. His scientific accolades include: IEEE Fellow (2007) IEEE Communications Society Best Tutorial Paper Award (2008, 2019) Stephen O. Rice Best Paper Award (2018) Multiple best paper awards at IEEE conferences (2005-2020) As principal investigator for numerous European and US research projects plus 20+ industry-funded initiatives, Professor Zorzi has mentored over 35 PhD students and post-docs. Graduates now hold prominent positions at institutions including Stanford, UCSD, CTTC, and Huawei. His SIGNET group maintains active international collaborations and contributes to open-source networking tools via GitHub, demonstrating commitment to community engagement. The SIGNET Research Group, housed within the Department of Information Engineering, operates specialized experimental facilities for mmWave and underwater communications. Current initiatives include AI-based predictive QoS frameworks for vehicular networks, underwater optical communication systems using ultraviolet light, and large-scale IoT deployments for environmental monitoring. The group's GitHub presence indicates strong open-science practices, while recent sea trials confirm hands-on experimental capabilities beyond theoretical work.
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نمایش ۱-۱۵ از ۱۵۴ استاد راهنما
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Mauro Conti is a Full Professor at the University of Padua, Italy, where he serves as Editor-in-chief of IEEE TIFS, UniPD Academic Advisor for Entrepreneurship Development, Study Program Coordinator of the MSc degree in Cybersecurity, Head of the SPRITZ Security and Privacy Research Group, and Director of the UniPD node of CINI Cybersecurity National Lab. He also maintains affiliations with TU Delft (NL) and the University of Washington (USA). Additionally, he is the CEO and co-founder of CHISITO and co-founder of DYALOGHI. His research focuses on security and privacy for wireless resource-constrained mobile devices (WSNs, RFIDs, and smartphones), computer system security, computer forensics, access control, and distributed and networked systems. Professor Conti has published extensively in top security venues including ACM CCS, IEEE S&P, NDSS, and USENIX Security, with recent work covering topics such as battery authentication, federated learning privacy, private set intersections, USB peripheral fingerprinting, and ATM PIN inference. He has received numerous prestigious awards including IEEE Fellow, Young Academy of Europe Fellow, EU Marie Curie Fellow, and DAAD Fellow. Professor Conti has advised over 100 students at various levels including PhD, MSc, and BSc, many of whom have gone on to successful careers in academia and industry. His research has been supported by multiple European Commission projects, university grants, and industry collaborations with companies like Cisco and Intel.
- Security
- Privacy
- Wireless Sensor Networks
- +۹ مورد دیگر
Sebastiano Battiato is a Full Professor of Computer Science at the University of Catania's Department of Mathematics and Computer Science. He serves as Scientific Coordinator of the PhD Program in Computer Science and Deputy Rector for Strategic Planning and Information Systems at the University of Catania. As Director and Co-Founder of the International Computer Vision Summer School (ICVSS), he has significantly contributed to computer vision education globally. Education: Bachelor's degree in Computer Science (summa cum laude), University of Catania, 1995 Ph.D. in Computer Science and Applied Mathematics, University of Naples, 1999 Professor Battiato's research primarily focuses on Computer Vision, Imaging Technology, and Multimedia Forensics . His work spans from developing ISP algorithms for embedded devices to creating advanced techniques for image enhancement, coding, and forensic analysis. He has pioneered research in social media forensics, developing methods to determine if images have been processed through specific social platforms. His research has practical applications in assistive technologies, retail, digital marketing, and medical fields. His scholarly output shows a consistent focus on digital forensics and image processing, with an increasing emphasis on social media forensics in recent years. The research trajectory demonstrates progression from foundational image processing techniques to sophisticated forensic applications capable of addressing modern challenges like deepfakes and social media manipulation. Scientific Awards: 2017 PAMI Mark Everingham Prize for the series of annual ICVSS schools 2011 Best Associate Editor Award of IEEE Transactions on Circuits and Systems for Video Technology Professor Battiato has coordinated IPLab's participation in numerous large-scale research projects funded by national and international bodies as well as private companies. He has served as principal investigator on many international and national research projects, demonstrating strong leadership in securing research funding. His editorial work includes serving as associate editor for the SPIE Journal of Electronic Imaging and IET Image Processing Journal, and membership on several other editorial boards. As Director of IPLab research lab (http://iplab.dmi.unict.it), Professor Battiato leads a team focused on computer vision and digital forensics. The lab collaborates extensively with law enforcement agencies through iCTLAB, a university spinoff he founded that provides digital forensic services. IPLab is recognized for its contributions to image/video forensics, with techniques implemented in commercial forensic software like AMPED Authenticate.
Giulia Boatoمشاهده پروفایل
دانشیار
Giulia Boato is an Associate Professor at the University of Trento’s Department of Information Engineering and Computer Science (DISI). She teaches courses in Probability and Multimedia Data Security. Her expertise spans Cyber Security, Digital Forensics, and Multimedia Analysis, focusing on image and signal processing for data protection, forensics, and anti-forensics. She collaborates internationally with institutions like Tampere University of Technology and Dartmouth College, co-advising PhD students and contributing to European projects like LIVINGKNOWLEDGE and GLOCAL. Education: PhD in Information and Communication Technology (2005), M.Sc. in Mathematics (2002), Scientific Lyceum (1998) with bilingual Italian-German certification. Past roles include Assistant Professor at DISI (2006–2018) and visiting researcher at the University of Vigo (2006) and University of Innsbruck (2018). Research interests include multimedia data protection, image forensics (tampering detection, computer vs. natural data discrimination), and intelligent data management. She leads projects on social media forensics, event-based retrieval, and synthetic media detection. Awards include Best Paper at IEEE WIFS 2012 and Top 10% Paper at MMSP 2012. Professional contributions include roles as co-chair of workshops, Technical Program Committee member for ICIP and ICC, and reviewer for journals like IEEE Transactions on Information Forensics and Security. She has advised PhD theses and contributed to datasets like TrueFace and WILD for synthetic media analysis.
Edoardo Vinchesi is a Contract Lecturer at Ca' Foscari University of Venice, jointly affiliated with the Venice School of Management and the Department of Economics. He teaches courses in Data Protection Regulations and serves as a Teaching Assistant in law and economics. Additionally, he holds executive roles in public administration, including positions at Italy's National Social Security Institute (INPS). Education: PhD in Law, Market and Person (Ca' Foscari University) Master's degrees in Law (University of Padua), Economics (G. Marconi University), Political Science (Mercatorum University), and Public Economics (Sapienza University) Research Interests: His work spans civil law, digital identity, data protection, taxation (especially cryptocurrency impacts), property law, and public finance. He frequently examines intersections between technology and legal frameworks, such as digital identity management and blockchain regulation. Publication Trends: Vinchesi's articles focus on Italian civil law, with recurring themes in property rights, contractual obligations, and digital jurisprudence. Recent works analyze residential leases, co-ownership structures, and trust law, reflecting expertise in traditional civil law and emerging digital-legal challenges. Awards & Honors: Executive Scholarship for Public Managers (INPS-Sna, 2021) Young Excellences Degree Award (CentroMarca Banca, 2017) Gruppo Iccrea–Centro Marca Banca Study Award (2022) Professional Activities: He serves on academic examination boards, lectures at the Venice Bar Association's Forensic School, and participates in international conferences on law and technology. No formal PhD advising is documented, but he mentors students through teaching assistant roles.
- Law
- Economics
- Data Protection
- +۴ مورد دیگر
Simone Mazzonettoمشاهده پروفایل
استاد مدعو
Simone Mazzonetto is an Adjunct Professor at Ca' Foscari University of Venice in the Department of Economics , where he teaches courses on Anti Money Laundering (AML) and Counter Financial Terrorism (CFT) and Corporate Finance and Bank Regulations since 2017. He also holds academic roles at the University of Padua (Department of Mathematics, Statistical Sciences, and Economics and Management) as an Adjunct Professor of Financial Markets and Risk Management , and at Università Cattolica – Milano as a Visiting Lecturer. At CHERRY BANK SPA , he serves as AML Compliance Senior Officer since April 2023. His research focuses on Anti Money Laundering (AML) , Tax Fraud Detection , Risk Management , Compliance , and Bank Regulations . His publications and conferences emphasize interdisciplinary applications of Financial Crime Prevention , Tax Compliance , and Regulatory Technology (RegTech) . The 15 most recent publications and conference presentations highlight expertise in Money Laundering , Risk-Based Approaches , and Compliance , with trends spanning Financial Regulation , Banking Law , and Public Sector Accountability . Topics include AML/CFT in Cryptocurrency , Enterprise Risk Management , and PNRR Implementation in Italy. He is a member of the "Comitato di Indirizzo" for the Master's program in Administration, Finance, and Control at Ca' Foscari and serves on multiple "Consiglio didattico" committees for degrees in Computational Finance, Statistics, and Economics at the University of Padua and University of Verona .
Kathleen Curtiusمشاهده پروفایل
استادیار
Dr. Kathleen Curtius is an Assistant Professor in the Department of Medicine at the University of California San Diego (UCSD), affiliated with the Division of Biomedical Informatics and the UCSD Moores Cancer Center. She leads the Quantitative Cancer Control laboratory, focusing on early cancer detection and prevention through mathematical modeling and multi-scale data analysis. Previously, she held a Medical Research Council Rutherford Fellowship at Barts Cancer Institute (London) and completed postdoctoral training in Prof. Trevor Graham's lab. Her research integrates applied mathematics, computational biology, and clinical oncology to address cancer evolution and screening strategies. Education: PhD in Applied Mathematics, University of Washington (2015) MS in Applied Mathematics, University of Washington (2011) BS in Mathematics, UCLA (2010) Research Interests: Mathematical oncology Cancer evolution modeling Epigenetic drift analysis Screening optimization Multiscale tumor dynamics Her work bridges disciplines to develop predictive tools for early cancer detection and personalized surveillance strategies. Publications: Recent work includes studies on metagenomic data bias (Nature Communications 2025), AI-driven cancer biomarker discovery (JCI Insight 2022), and computational models of Barrett's esophagus progression (Gut 2020). Her research emphasizes translational applications in clinical oncology and public health. Awards: Recognized with the 2024 Leah Edelstein-Keshet Prize, 2022 AGA Research Scholar Award, and 2018 MRC Rutherford Fellowship. Her work has been cited over 1,000 times across key oncology journals. Funding: Principal Investigator on NIH grants (R01CA270235, I01BX005958) supporting projects on Barrett's esophagus modeling and colitis-associated colorectal cancer surveillance optimization. Collaborates with clinicians, geneticists, and computational biologists to advance cancer control efforts. Labs/Teams: Leads the Quantitative Cancer Control Lab at UCSD, part of the Bioinformatics and Systems Biology division. Active in interdisciplinary initiatives like the Moores Cancer Center's Cancer Control Program.
Giuseppe Alessandro Veltri is a Full Professor at the University of Trento's Department of Sociology and Social Research. His expertise spans Behavioral Economics, Big Data, Computational Social Science, and Social Psychology. He currently teaches courses such as 'Big Data' and 'Social Dynamics Lab' within the Data Science and Previsione Sociale programs. His research focuses on understanding human behavior through digital methodologies, including studies on vaccine hesitancy, darknet markets, and the psychological aspects of pandemics. Veltri is also actively involved in designing computational tools like TextualLLMap to analyze societal biases in AI systems. His work bridges theoretical frameworks with empirical data, emphasizing interdisciplinary approaches to social science challenges. Research interests include the application of computational methods to study risk perception, online behavior, and policy design. Recent studies explore how behavioral insights can improve public health strategies during crises and how transparency in digital platforms influences consumer decisions. Veltri's contributions also extend to methodological innovations, such as optimizing online experiments and addressing gaps in cognitive sociology.
Silvia BOZZAمشاهده پروفایل
دانشیار
Silvia BOZZA is an Associate Professor in the Department of Economics at Ca' Foscari University of Venice, where she also serves as Department Delegate for Teacher Training for High Schools. Her academic profile is centered around Statistics (SSD STAT-01/A), with a strong focus on forensic applications of statistical methods. She maintains dual institutional affiliations, working within both the Department of Economics (based in San Giobbe) and the Interdepartmental School of Economics, Languages and Entrepreneurship for International Exchanges (located in Treviso - Palazzo San Paolo). Professor BOZZA's research primarily explores the application of Bayesian statistics to forensic science and legal evidence evaluation. Her work demonstrates a consistent trajectory from early publications on spatio-temporal models to her current specialized focus on forensic statistics. She has developed expertise in probabilistic graphical models, Bayes factors, and statistical decision theory as applied to evidence interpretation. Her research addresses critical questions in forensic science regarding how to properly evaluate and communicate statistical evidence in legal contexts, with particular attention to handwriting analysis, DNA evidence, and authorship attribution. Her publication record shows remarkable consistency and productivity, with over 90 publications spanning from 2001 to 2025. Recent work (2022-2025) demonstrates her ability to address contemporary challenges, including AI authorship discrimination using Bayesian methods for distinguishing human from ChatGPT-generated text. Her articles frequently appear in high-impact forensic and statistical journals including Law, Probability & Risk, Forensic Science International, and Annual Review of Statistics and its Application. Professor BOZZA actively supervises undergraduate and graduate theses involving data analysis, requiring knowledge of statistical software including the R programming language used in the Statistics for Economics Laboratory course. She encourages students to propose topics while offering guidance to refine research questions. Her office hours show she maintains regular availability for student consultations, indicating active engagement in academic mentoring.
Daniele Fusi is a Lecturer at the Department of Humanities, Ca' Foscari University of Venice, with a focus on Digital Humanities and Computational Philology. He teaches courses on XML databases and digital/public humanities, bridging classical studies with modern technology. University: Ca' Foscari University of Venice Department: Department of Humanities His research spans digital edition frameworks, metrical analysis, and XML markup for classical texts. Recent works explore AI applications in textual dynamics and forensic linguistic tools for legal corpora, demonstrating interdisciplinary approaches between humanities and computer science. Notable projects include: EpiSearch for ancient inscriptions Chiron framework for metrical analysis AttiChiari digital corpus He actively publishes in journals like Journal of Data Mining and Digital Humanities and Rivista di Cultura Classica e Medioevale , with over 20 years of contributions to digital philology, epigraphic databases, and computational linguistics.
Stefano Ferilli is a Professor of Computer Science at the University of Bari, Italy, where he leads the ARA (Apprendimento e Ragionamento Automatico) research lab within the Department of Computer Science. His academic roles include former Director of the Interdepartmental Center for Logic and Applications (CILA) and current head of the Artificial Intelligence & Intelligent Systems node in the CINI national laboratory. He holds a PhD in Computer Science and has been a key figure in advancing machine learning, logic programming, and digital library technologies. Education: Laurea (MSc equivalent) in Information Sciences (1996), Specialist Laurea in Computer Science (2003), and PhD in Computer Science (2001). His research focuses on foundational aspects of machine learning, multi-strategy reasoning, process mining, and applications in cultural heritage, bioinformatics, and smart environments. Research Contributions: Developed frameworks like INTHELEX (incremental theory learner), WoMan (process mining), and DoMInUS (document management). Over 370 publications, including a Springer monograph and multiple award-winning papers. Active in organizing conferences like ECML-PKDD, ICDM, and IRCDL, and serves on editorial boards of journals like Information Sciences . Projects: Led or participated in over 30 national and European projects, including EU-funded initiatives on digital libraries (COLLATE, DELOS) and AI applications. Collaborates with industries like Samsung and institutions like the Italian Police for traffic analysis and cultural heritage preservation. Awards: Recognized for outstanding peer review (MDPI, ECMLPKDD), best paper awards, and contributions to AI education and cultural heritage. Member of prestigious associations like AI*IA (Italian AI Society) and AICA (Italian Computing Society).
Laura Emilia Maria Ricci is a Full Professor at the University of Pisa's Department of Computer Science, leading the Pisa Distributed Ledger Laboratory (Pisa DLT Lab). Her research focuses on blockchain technology, layer-2 solutions, cryptographic techniques, and self-sovereign identity frameworks. She coordinates the National PhD program in Blockchain and Distributed Ledger Technologies and leads the PRIN research project 'AWESOME' (2023-2025). Ricci serves as an associate editor for the ACM Distributed Ledger Technologies: Research and Practice journal and the Springer Nature SN Computer Science section on blockchain innovations. Her research emphasizes blockchain scalability, transaction analysis, and social network dynamics. Recent work includes studies on NFT architectures, post-quantum cryptography in Ethereum, and query authentication protocols. She co-organized the 7th IEEE International Conference on Blockchain and Cryptocurrencies (2025) and actively participates in global blockchain initiatives. Ricci has been awarded Best Paper Awards for her contributions to decentralized cloud scheduling, hybrid architectures for online games, and distributed virtual environments. She advises numerous PhD students and oversees grants like the H2020 'HELIOS' project. Ricci's academic roles include teaching blockchain, peer-to-peer systems, and web scraping at the University of Pisa. Her lab collaborates on projects such as the AQuSDIT grant (2024-2025) and the Ethereum Foundation's 'Cross Chain Authenticated Queries.' She also chairs conferences like IEEE Blockchain and co-edits special issues on blockchain-based pervasive systems and social media analysis.
Alberto Del Bimbo is a Full Professor of Computer Engineering at the Department of Systems and Computer Science, University of Florence, Italy. He serves as Director of the Media Integration and Communication (MICC) Center, a National Center of Excellence focused on Artificial Vision, Artificial Intelligence, and Multimedia Technologies. His career spans academia and leadership roles, including Deputy Rector for Research and Innovation Transfer (2000-2006) and Director of the Department of Systems and Computer Science (1997-2000). Education : Master Degree in Electronic Engineering (1977), University of Florence. Research Interests : Artificial Vision, Multimedia, Multimodal Interaction, Image/Video Analysis, Surveillance, and Industry Automation. Academic Leadership : Editorial roles including Editor-in-Chief of ACM TOMM , and leadership in IEEE, IAPR, and ACM conferences. Projects : MICC Center’s work on neuromorphic computing, deepfake detection, and AI-driven surveillance systems, with industrial partnerships (Leonardo SpA, Thales Italia, IARPA). Article Trends : Recent work focuses on neuromorphic event-based vision, multimodal emotion prediction, compatible AI representations, and deepfake detection using local surface frames. Applications span smart environments, cultural heritage, and real-time surveillance. Scientific Awards : ACM Distinguished Scientist (2016) ACM Award for Outstanding Technical Contributions to Multimedia (2016) IEEE Senior Member IAPR Fellow Labs & Teams : Leads the MICC research team at the University of Florence, collaborating with international institutions and companies on vision and AI innovation.
- Artificial Intelligence
- Computer Vision
- Multimedia
- +۴ مورد دیگر
Luca Guarneraمشاهده پروفایل
استادیار
Luca Guarnera is a Fixed-term Assistant Professor (RTDA) of Informatics at the Department of Mathematics and Computer Science, University of Catania. Born in Catania on October 26, 1992, he has been a research fellow in Computer Science at the University of Catania since January 1, 2022. His academic journey includes a PhD in Computer Science (XXXIII cycle, PON number E37H18000330006) from the University of Catania, with part of his research conducted at the University of Hertfordshire under Prof. Salvatore Livatino. PhD in Computer Science, University of Catania (2018-2021) Master's Degree in Computer Science (cum laude), University of Catania (2015-2017) Bachelor's Degree in Computer Science, University of Catania (2011-2015) Guarnera's research focuses on Computer Vision, Machine Learning, and Multimedia Forensics, with special emphasis on Deepfake Detection across images, video, audio, and multimodal data. His work explores intrinsic traces left during content creation processes, VR applications for forensic analysis, and deep learning approaches to forensic problems. He has contributed significantly to forensic firearms ballistics analysis through immersive VR observation and handwritten document analysis. His publication record shows a strong trajectory in deepfake detection technologies, evolving from early work on convolutional traces to current research distinguishing between GAN and Diffusion Model outputs. His research spans both theoretical foundations and practical applications in digital forensics, with increasing focus on multimodal approaches and real-world implementation challenges. Guest Editor for Special Issue 'Advancements in Deepfake Technology, Biometry System and Multimedia Forensic' in MDPI Journal of Imaging Guarnera actively participates in the academic community as a reviewer for international journals and has contributed to prestigious international events as a Technical Program Committee member. His research is supported through collaborations with industry partners like iCTLAB srl and academic institutions. He is involved in the HEALTHY-UNICT project studying dietary habits of college students through ecological momentary assessment approaches. As a member of IPLab (Image Processing Lab) since 2015, Guarnera has been involved in various research initiatives including participation in Mohamed Bin Zayed International Robotics Challenge (MBZIRC) competitions and international summer schools (ICVSS, MISS, S3P). His work bridges theoretical computer science with practical forensic applications, particularly in the rapidly evolving field of deepfake detection and multimedia authentication.
Mauro Barni serves as a Full Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, where he teaches Cybersecurity, Information Theory, and Mathematical Statistics. His office hours are held Fridays from 3:00 PM to 5:00 PM via online appointment, reflecting his active engagement with students. Professor Barni's research spans multimedia security and digital forensics, with emphasis on deep learning applications for digital watermarking, deepfake detection, and synthetic image attribution. His work addresses critical challenges in adversarial machine learning, steganography, and image manipulation detection, contributing significantly to cybersecurity and intellectual property protection frameworks. Analysis of his 2021-2025 publications reveals dominant trends in neural network watermarking robustness, synthetic media detection, and defenses against backdoor attacks. His research consistently bridges theoretical foundations with practical implementations, focusing on real-world applications like printer source attribution and physical-domain adversarial scenarios. He leads the VIPP (Vision, Image Processing, and Pattern Recognition) research group, which maintains dedicated virtual classrooms for collaborative projects in computer vision and multimedia security. The group actively develops methodologies for image forensics, synthetic media analysis, and security countermeasures against emerging threats.