Find Academic Supervisors

• deep learning
• convolutional neural network
• deep features
• +5 more

Fabrizio Falchi is a researcher at the Artificial Intelligence for Media and Humanities (AIMH) Lab of the Institute of Information Science and Technologies (ISTI) within Italy's National Research Council (CNR). He also maintains an associate position at the Biorobotics Institute of Scuola Superiore Sant'Anna. His work focuses on developing advanced multimedia retrieval systems, with the VISIONE platform being his most notable contribution, which has won international competitions including the Video Browser Showdown in 2024 and placed second in 2023. Falchi's educational background includes: Ph.D. in Information Engineering from University of Pisa (Italy) Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic) M.B.A. from Scuola Superiore Sant'Anna in Pisa His research spans deep learning, convolutional neural networks, deep features extraction, similarity search algorithms, distributed indexing systems, multimedia information retrieval, computer vision applications, and peer-to-peer systems. Falchi has made significant contributions to fine-grained visual understanding, cross-modal retrieval (particularly image-text matching), and robustness of deep learning systems against adversarial attacks. His work demonstrates a strong focus on practical applications of these technologies, particularly in video retrieval systems and safety monitoring solutions. Analysis of Falchi's recent publications reveals a strong focus on video and image retrieval systems, with the VISIONE platform being central to his work. His research shows increasing emphasis on fine-grained understanding in computer vision, cross-modal retrieval, and addressing practical challenges like cross-resolution face recognition. Recent work demonstrates innovation in making these systems more efficient through techniques like knowledge distillation (ALADIN) and leveraging virtual worlds for training data. His publications consistently bridge theoretical advances with practical applications in surveillance, safety monitoring, and multimedia search. Falchi's work has received significant recognition: Best paper award at CBMI 2024 for 'Is ClLIP the main roadblock for fine-grained open-world perception?' VISIONE 2024 won the Video Browser Showdown competition in Amsterdam VISIONE obtained second place at Video Browser Showdown 2023 in Bergen Best Paper Award for 'Learning Safety Equipment Detection using Virtual Worlds' at CBMI 2019 Falchi collaborates extensively with researchers at ISTI-CNR, particularly within the AIMH Lab. His work on VISIONE involves collaboration with Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. As co-chair of Ital-IA 2023, the 3rd National Conference on Artificial Intelligence, he plays an active role in the academic community. He is a member of ACM (since 2012), the Computer Vision Foundation, the Italian Association for Computer Vision Pattern Recognition and Machine Learning (CVPL), and the CINI Lab on Artificial Intelligence and Intelligent Systems. Falchi is a key member of the Artificial Intelligence for Media and Humanities (AIMH) Lab at ISTI-CNR, where he leads research on video retrieval systems. The lab has developed the award-winning VISIONE platform, which combines multiple scientific results in content-based video retrieval. His team focuses on developing systems that enable users to search for target videos using textual prompts, drawing objects and colors, or images as query examples. The lab's work demonstrates strong interdisciplinary collaboration, bridging computer science with practical applications in media, safety monitoring, and urban environments.

Shervin ShirmohammadiView profile

Professor

• Computer Vision
• Image Processing
• Health Monitoring Systems
• +4 more

Dr. Shervin Shirmohammadi is a Professor at the University of Ottawa's Faculty of Engineering, specifically within the School of Electrical Engineering and Computer Science. With an impressive h-index of 41 and over 6,800 citations across 473 publications, his research has made significant contributions to the fields of computer vision, biomedical instrumentation, and health monitoring systems. His academic journey spans over two decades, beginning with work on communication architectures for virtual environments in 2001 and evolving toward practical healthcare applications. Dr. Shirmohammadi's research interests center on Computer Vision , Image Processing , and Embedded Systems with a strong focus on healthcare applications including nutrition monitoring, mental health assessment, and driver safety systems. His most influential work examines computer vision applications for health monitoring, particularly food calorie measurement systems that use smartphone cameras to analyze nutritional content. His research has evolved to include EEG-based systems for ADHD detection and serious games for autism therapy, demonstrating a consistent trajectory toward practical healthcare solutions using advanced instrumentation techniques. Dr. Shirmohammadi maintains active collaborations with researchers including A. Yassine (118 joint publications), D. Ahmed, Ali Asghar Nazari Shirehjini, and B. Hariri. His publications appear primarily in IEEE Transactions on Instrumentation and Measurement, reflecting his strong connection to the instrumentation and measurement community.

Daniele FusiView profile

Lecturer

• Digital Humanities
• Computational Philology
• Classical Studies
• +7 more

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.

Ivano BilenchiView profile

Researcher

• Artificial Intelligence
• Semantic Web
• Internet of Things (IoT)
• +4 more

Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.

Luca GuarneraView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Multimedia Forensics
• +6 more

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.

• Microwave Imaging
• Inverse Scattering
• Antenna Arrays
• +4 more

Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.

• Neuroscience
• Cognitive Science
• Neuroimaging
• +7 more

Giacomo Handjaras is an Assistant Professor at the IMT School for Advanced Studies Lucca, affiliated with the MOMILAB research group. His work focuses on neuroimaging, sleep neurophysiology, affective neuroscience, and brain structure-function relationships. He explores topics such as neural correlates of emotions, sleep dynamics, and motor control mechanisms using advanced methodologies like EEG, fMRI, and computational linguistics. Research interests include: (1) Sleep architecture and slow-wave subtypes linked to thalamic activity, (2) Multisensory integration in perception and action, (3) Neuroplasticity in sensory restoration, (4) Computational analysis of dream semantics, and (5) Telemedicine applications in cardiac rehabilitation. His studies often integrate behavioral, neuroimaging, and computational approaches. Recent publications highlight trends in sleep-brain interactions, affective processing across modalities, and neural mechanisms underlying communication deficits. He has contributed to understanding the role of thalamic regulation in sleep stages and the impact of sensory deprivation on brain organization in congenitally blind individuals. His work bridges basic neuroscience with clinical applications in rehabilitation and cardiovascular health.

Michael NeriView profile

Researcher

• Computer Vision
• Deep Learning
• Audio Processing
• +3 more

Michael Neri is a Researcher in Audio Signal Processing at Tampere University and a Ph.D. student in Applied Electronics at Roma Tre University. His primary affiliation is with the Department of Signal Processing at Tampere University. He holds a B.Sc. in Information Engineering from the University of Padua (2019) and an M.Sc. in ICT for Internet & Multimedia from the University of Padova (2021). He was a visiting PhD student at Tampere University of Technology in 2023. His research focuses on Audio Processing, Computer Vision, and Deep Learning, with applications in safety and security. Key projects include RAILGAP (EU Horizon 2020), which uses GNSS for rail positioning, INSECTT (ECSEL EU Project) for secure IoT-AI systems, and ISEEYOO (University of Padova Grant) for anomaly detection in Cyber-Physical Systems. He has also contributed to the ESA-funded VOLIERA project on multi-sensor railway positioning. Neri's work spans environmental sound classification, speaker localization, and AI-driven multimedia quality assessments. His research is supported by grants from the European Union and ESA programs. He actively collaborates on projects addressing occupational safety through VR integration and anomaly detection in audio signals. Contact him via michael.neri@tuni.fi or his professional profiles on ResearchGate and GitLab .

Graziano SERRAGIOTTOView profile

Professor

• CLIL Methodology
• Language Education
• Second Language Acquisition
• +3 more

Graziano SERRAGIOTTO is a Full Professor at Ca' Foscari University of Venice, holding roles as President of the University Language Center (CLA) and referent for Teaching Qualification processes. He is affiliated with the Department of Linguistics and Comparative Cultural Studies and the Research Institute for Digital and Cultural Heritage. His work focuses on CLIL (Content and Language Integrated Learning), language assessment, and intercultural communication in Italian language education. He has contributed extensively to research on teaching methodologies, digital tools in language learning, and cross-cultural educational models. His research interests span CLIL methodology, language assessment frameworks, and the integration of digital storytelling and multimedia resources in language education. He has published widely on Italian as a foreign language, teacher training, and multicultural education strategies. He leads projects on language policy in academic institutions and collaborates with international institutions like the Italian Cultural Institutes in Japan and China. Key areas of focus include: Development of CLIL curricula and teacher training programs Evaluation of language learning outcomes and competence assessment Use of technology in language education and professional development Cross-cultural teaching approaches for immigrant communities His publications highlight contributions to language education theory and practice, with a recent emphasis on digital tools and online professional development for teachers. He also leads initiatives to enhance intercultural communication in language learning contexts.

• English for Specific Purposes
• English for Academic Purposes
• Multimodal Analysis
• +7 more

Larissa D'Angelo is an Associate Professor of English Language and Translation at the University of Bergamo , affiliated with the Department of Foreign Languages, Literatures and Cultures . She leads the Eye Tracking Lab within the Research Group on Digital Humanities (ReDH) and is a member of the Research Center on Languages for Specific Purposes (CERLIS) . Her academic background includes an MA in English Language from Youngstown State University (USA), a TESOL Certificate , a Certificate in Children's and Young Adult Literature , and a PhD in Applied Linguistics from the University of Reading (UK). Her research focuses on English for Specific Purposes , multimodal analysis , and eye-tracking studies , particularly in audiovisual translation , game localization , and academic communication . She has supervised theses on topics like AVT and cultural prosumer dynamics , multimodal text design , and AI in translation , though she emphasizes that AI usage is strictly prohibited in thesis work. Her publications explore the intersection of digital communication , metadiscourse , and translation theory , with a focus on visual and textual academic genres and pedagogical applications . She actively collaborates on projects like Erasmus+ initiatives for climate-resilient education.

Sara BaldoniView profile

Assistant Professor

• Communication Security
• Navigation and Localization Systems
• Multimedia Content Processing
• +6 more

Sara Baldoni is a non-tenured Assistant Professor at the Department of Information Engineering, University of Padova. She holds a Ph.D. in Applied Electronics from Roma Tre University (2018–2021) and was a Post-Doctoral researcher there until February 2023. Her research focuses on communication security, navigation systems, and multimedia processing, with a strong emphasis on GNSS, Cyber-Physical Systems (CPS), and sensor fusion. Education: Bachelor in Electronics Engineering (2016, Roma Tre University) Master in ICT Engineering (2018, Roma Tre University) Ph.D. in Applied Electronics (2021, Roma Tre University) Research interests include anomaly detection in CPS, GNSS integrity enhancement, and VR/AR applications. She leads projects such as ISEEYOO (CPS anomaly detection), RAILGAP (rail positioning via GNSS), and INSECTT (secure IoT-AI systems). Her work integrates machine learning, signal processing, and cybersecurity to improve system resilience and user experience in critical infrastructure and immersive technologies. Notable contributions include frameworks for GNSS imaging fusion, context-aware security, and VR saliency modeling. Ongoing projects emphasize rail safety (VOLIERA, RAILGAP) and AI-driven anomaly detection (ISEEYOO).

Patrizio CampisiView profile

Professor

• Digital Signal Processing
• Image Processing
• Biometrics
• +12 more

Patrizio Campisi is a Full Professor in the Section of Applied Electronics at the Department of Engineering, Roma TRE University, Rome, Italy. He leads cutting-edge research in digital signal and image processing with applications to secure multimedia communications and biometrics. He has held visiting positions at the University of Toronto, Beckman Institute (UIUC), and École Polytechnique de Nantes, and has been a Marie Curie Fellow (2010–2014). His educational background includes a Laurea (summa cum laude) in Electronic Engineering from Sapienza University of Rome and a Ph.D. in Electrical Engineering from Roma TRE University. His research focuses on secure biometric recognition (signature, keystroke, EEG, vein), digital watermarking, blind image deconvolution, HDR imaging, and privacy-preserving technologies. He has contributed significantly to template protection, multimodal biometrics, and forensic image analysis. His work bridges engineering, computer science, and security, with strong applications in mobile authentication, border control, and social media safety. The recent publications reflect a strong trend in biometrics, image forensics, and privacy-enhancing technologies, with a focus on real-world applications in mobile systems, healthcare, and law enforcement. Key themes include secure authentication, de-identification, and computational imaging. IEEE Second International Conference on Biometric Systems 2008 Best Student Paper Award IEEE Biometric Symposium 2007 Best Paper Award IEEE International Conference on Image Processing 2006 Best Student Paper Award Marie Curie Fellow (2010–2014) NATO-CNR Advanced Fellowship (2003) IEEE Senior Member Prof. Campisi has supervised numerous students and leads the BioMedia4n6 lab. He has secured major EU grants including H2020 projects AMBER, COSMOS, and ENCASE. His editorial leadership includes serving as Editor-in-Chief of IEEE Transactions on Information Forensics and Security (2018–2020) and Chair of the IEEE Information Forensics and Security Technical Committee (2017–2018). He is actively involved in research networks such as COST Actions on de-identification and biometrics-forensics integration, and has contributed to EU policy via the BEST Thematic Network on biometrics and fundamental rights. His lab, BioMedia4n6, focuses on biometrics, multimedia forensics, and privacy-aware systems.

Muhammad SajjadView profile

Associate Professor

• Computer Vision
• Image Understanding
• Pattern Recognition
• +12 more

Muhammad Sajjad is an Associate Professor at the Department of Computer Science, Islamia College University Peshawar, Pakistan, and an ERCIM Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway. His academic career spans teaching, research leadership, and editorial contributions to international journals. Education: Master’s in Computer Science (2012) from the College of Signals, National University of Sciences and Technology (NUST), Pakistan; Ph.D. in Digital Contents (2015) from Sejong University, South Korea. His research focuses on computer vision , image processing , and deep learning , with applications in medical imaging , fog computing , and autonomous navigation . He leads the Digital Image Processing Laboratory, mentoring students in areas like multi-modal data mining and video analytics . He has authored over 65 peer-reviewed publications and serves as an Associate Editor for IEEE Access and a Guest Editor for IEEE Transactions on Intelligent Transportation Systems .

• Database Systems
• Data Mining
• Natural Language Processing
• +2 more

Alessandro Fiori serves as an External Lecturer and Teaching Assistant at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN), affiliated with the College of Computer, Film, and Mechatronics Engineering. His instructional responsibilities span database systems, data science, and data visualization courses across undergraduate and graduate programs. His research focuses on: Database system design and optimization Natural language processing for structured data Data mining techniques for complex datasets Multimodal data representation Automated content generation pipelines As a member of the Database and Data Mining Group (DBDM), he contributes to projects involving data modeling tools and NLP-driven data transformation. Recent publications (2023-2025) demonstrate a strong focus on applying natural language processing to database systems, including LLMs for schema interpretation, automated documentation generation from structured data, and multimedia content synthesis. His earlier work includes clustering algorithms for transportation data analysis.

Francesco ZanichelliView profile

Associate Professor

• Distributed Systems
• Service-Oriented Peer-to-Peer Middleware
• Cloud Systems for IoT
• +10 more

Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).