جست‌وجوی استاد و پژوهشگر

Yannick Hamonمشاهده پروفایل

پژوهشگر

• French Language Teaching
• Translation Studies
• Linguistics
• +۵ مورد دیگر

Yannick Hamon is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. His office is located in Palazzo Cosulich (Studio 210), where he holds office hours on Tuesdays from 11:00 to 13:00. He serves as a Member of the Joint Teacher-Student Commission for the SLCC Department and acts as the Teacher Training Representative. His academic focus centers on French language teaching, translation studies, and linguistics, specifically under the SSD classification FRAN-01/B (French language, translation and linguistics). Hamon's research interests span French Language Teaching (FLE), digital technologies in language education, collaborative learning approaches, and distance teaching methodologies. His work demonstrates particular expertise in the intersection of technology and language pedagogy, with significant contributions to understanding how digital tools can enhance language acquisition and teaching practices. He has extensively explored emergency remote teaching during the pandemic, investigating how language educators adapted to sudden transitions to online instruction. His scholarship also addresses translation studies, environmental discourse, and collaborative learning models in language education. Analysis of Hamon's publication record reveals a strong trajectory in research on technology-mediated language teaching and collaborative approaches to language instruction. His work has evolved from foundational studies on translation technologies to more recent investigations of pandemic-era educational challenges and innovative solutions. A notable pattern is his consistent focus on practical applications of theoretical frameworks in real classroom settings, emphasizing action research methodologies that bridge theory and practice. His publications frequently examine how digital tools can facilitate language learning while maintaining the essential interactive elements that characterize effective language instruction. Hamon has played a significant role in coordinating teacher training initiatives, particularly through the FLE Ateliers program developed in collaboration with the Federation of French Alliances in Italy and DORIF. This initiative represents a substantial contribution to professional development for French language teachers, focusing on practical, research-informed approaches to teaching challenges. His work demonstrates commitment to improving language education through collaborative research-action frameworks that value teacher expertise while incorporating academic research findings. As an active member of the academic community, Hamon participates in research networks focused on French language teaching and plurilingualism. His work reflects engagement with broader educational challenges while maintaining specialized expertise in French language pedagogy. His contributions to the field emphasize the importance of adapting teaching methodologies to contemporary technological and social contexts while preserving the core interactive elements essential to language learning.

• Biomedical Engineering
• Industrial Measurement Systems
• Sensor Technology
• +۳ مورد دیگر

Stefano Cattini is an Associate Professor at the Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Italy. He holds a Master's (2005) and Ph.D. (2009) in Electronic Engineering from the same university. His research focuses on advanced measurement systems for industrial and biomedical applications, including LiDAR performance analysis, blood gas monitoring, and sensor fusion. He led the MS2 Laboratory (Materials, Systems, and Sensors) at the TPM Science and Technology Park in Mirandola (2014–2019). Active in IEEE and SPIE, he contributes to journals and conferences, co-authoring over 50 peer-reviewed publications and two patents. His work emphasizes sensor innovation, medical instrumentation, and automotive safety. Education: Ph.D. in Electronics and Telecommunications, 2009 Master's in Electronic Engineering (cum Laude), 2005 Research Interests: Stefano Cattini’s research spans industrial sensor systems , biomedical instrumentation , and automotive LiDAR technology . He develops novel methods for real-time blood parameter monitoring (e.g., pH and pCO₂) in extracorporeal circulation and investigates LiDAR performance in challenging environments like fog. His work integrates optical engineering, AI-driven data analysis, and sensor fusion to enhance measurement accuracy and reliability in healthcare and automotive domains. Publications: His recent work highlights trends in automotive LiDAR optimization, portable medical sensors, and underwater bioconstructor monitoring. Key themes include sensor calibration, error mitigation, and interdisciplinary applications of optical and biomedical engineering. Affiliations & Labs: As former head of the MS2 Lab at TPM, he advanced research in materials and sensor systems. He collaborates with industry and academic partners to translate innovations into practical solutions. Current efforts include developing AI-enhanced eye-tracking systems and robust LiDAR benchmarks for autonomous vehicles.

• Bayesian Statistics
• Probability Theory
• Mathematical Physics
• +۳ مورد دیگر

Emanuele Dolera is an Associate Professor at the University of Pavia, affiliated with the Probability and Statistics research group. His work focuses on Bayesian nonparametric methods, probability theory, and mathematical physics, with a particular emphasis on statistical mechanics and optimal transport frameworks. He has contributed to foundational research in posterior contraction rates, stochastic processes, and the analysis of complex models like the Boltzmann equation and Ewens-Pitman sampling schemes. His research interests span Bayesian predictive inference, asymptotic theory, and the interplay between probability and partial differential equations. Notable contributions include studies on credible intervals in nonparametric estimation, exponential convergence in kinetic equations, and counterexamples in stochastic operator theory. Dolera has also edited special issues honoring prominent statisticians like Eugenio Regazzini. His publications reflect a strong theoretical orientation, addressing topics such as optimal transport applications, count-min sketches in data streams, and the asymptotic behavior of statistical estimators. While no specific grants, awards, or advisees are listed, his extensive bibliography underscores his role as a leading figure in advanced statistical methodology and mathematical analysis.

Pasquale Daponteمشاهده پروفایل

استاد

• Electrical Measurements
• Electronic Measurements
• Signal Processing
• +۵ مورد دیگر

Pasquale Daponte is a Full Professor in the Department of Engineering at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His research focuses on measurement systems, signal processing, and instrumentation with particular expertise in analog-to-digital conversion technologies, compressed sensing applications, and unmanned aerial vehicle systems. Professor Daponte's research interests span several key areas in electrical measurements and instrumentation: Dynamic characterization methods for analog-to-digital and digital-to-analog converters Algorithms for numerical processing of measurement signals Architectures and software for distributed measurement systems Distance learning systems in engineering education Applications of compressed sensing in various measurement contexts UAV-based measurement systems His publication record demonstrates consistent contributions to measurement science, particularly in converter testing methodologies and standards development. Professor Daponte has been actively involved in IEEE standardization efforts, contributing to key documents on analog-to-digital and digital-to-analog converter testing. His recent work shows a growing emphasis on compressed sensing applications across multiple domains including spectrum monitoring, ECG signal processing, and radio frequency localization. Professor Daponte maintains an active research group with frequent collaborations with colleagues including Luca De Vito, Sergio Rapuano, and Francesco Picariello. His work bridges theoretical measurement principles with practical engineering applications across biomedical, communications, and industrial domains.

Nunzio Tuccittoمشاهده پروفایل

دانشیار

• Molecular Communication
• Nanomaterials
• Physical Chemistry
• +۳ مورد دیگر

Nunzio Tuccitto is an Associate Professor of Physical Chemistry at the University of Catania. His research focuses on molecular communication systems for wave-denied environments, hazardous gas detection, and big-data processing for mass spectrometry. He supervises PhD students and leads major EU-funded projects like ERMES. Education : PhD in Chemistry (2007), University of Catania Research Interests : Designing nanomaterials for molecular communication, developing carbon-based sensors for warfare agents/explosives, and advancing machine learning methods for multisensor data. His work bridges physical chemistry, nanotechnology, and biomedical engineering. Recent Research Trends : 2020s publications emphasize quantum dots for biological fluid communication, lemon waste-derived nanomaterials, and environmental pollutant monitoring via drones. Key themes include signal reliability, biocompatibility, and sustainable synthesis techniques. Scientific Awards ACM NanoCom 2024 Best Work-In-Progress Paper Italian Chemical Society 2021 Distinguished Oral Presentation Royal Society of Chemistry's Beynon Prize (2009-2010) FAMELAB-2018 Catania Winner Advising & Grants : Supervises 3 PhD students. Coordinates €3.7M EU ERMES project (2025-2028) and leads multiple national/international grants totaling €26M. Collaborates with institutions in Poland, Belgium, Canada, and Germany. Labs & Teams : Member of the Department Board, vice-coordinator of Materials Science PhD school, and leads 60 researchers in SiciliAn Micronanotech Center's Environment WP.

• Signal Processing
• Electromagnetic Compatibility
• E-learning Systems
• +۷ مورد دیگر

Matteo Bertocco is a Full Professor at the Department of Information Engineering of the University of Padova. His academic career began in 1992 as a researcher, progressing to associate professor in 1998 and full professor since 2002. He has held significant administrative roles, including Rector's deputy for distance learning (2011-2013) and Director of the Doctoral School in Information Engineering for over 8 years starting from 2008. PhD in Electronic Instrumentation (University of Brescia, 1993) Graduated in Electronic Engineering (1987, full marks) His research focuses on signal processing techniques for industrial and telecommunications systems, machine learning applications in predictive maintenance, and augmented sensor systems through data processing. He developed remote access techniques for instrumental laboratories, enabling e-learning programs and professional training collaborations with institutions like the Nettuno Consortium, CNIT Consortium (38 Italian universities), and Politecnico di Torino. He has coordinated research projects funded by the European Union, National Public Bodies (e.g., INAIL), and Local Public Administrations. His work has resulted in over 150 publications and international patents. He actively collaborates with IEEE's Instrumentation and Measurement Society and is a member of CNIT and Quadrato della Radio (telecommunications directors' network).

• Algorithm Engineering
• Health IT
• Information Systems
• +۸ مورد دیگر

Umberto Nanni is a full Professor of Information Management Systems at the University of Rome "La Sapienza" since November 2005. He has held significant leadership roles including Director of the Research Center for Distance Learning and Technologies for Learning at Telematic University Unitelma Sapienza (2015-2022) and President of the Area Council in Information Engineering at the Latina location of University of Rome "La Sapienza" (2014-2020). Professor Nanni's research spans multiple domains with primary focus on Algorithm Engineering (particularly path algorithms and combinatorial problems), Health IT, Information Systems (with applications in Transport and Logistics, Cultural Heritage), and Technology Enhanced Learning. His work integrates Big Data, Graph and Text mining, Incremental Algorithms, Dynamic Data Structures, and Internet of Things technologies to address complex challenges in these areas. His recent publications demonstrate a strong trend toward biomedical applications, particularly in biospecimen management and digital twins for precision medicine, while maintaining his foundational work in algorithm design and educational technology. The research shows increasing interdisciplinary collaboration, especially between computer science and healthcare domains, with notable publications in Cancer Genomics & Proteomics and other high-impact journals. He has advised over 400 undergraduate and master's theses along with 2 PhD students He has led numerous significant research projects including "Artificial Intelligence algorithms to track and detect Covid-19 vaccine-related infodemic on social media" (2023-2025) He coordinated the "ADCATER - Advanced Digital Solutions for Professional Food and Nutrition Catering Service" project (2021-2023) He served as Principal Investigator for the eLF-eLearning Fitness project (2011-2014) with 19 partners and 42 associated partners Professor Nanni co-founded and was instrumental in developing SPRECware, software tools for Standard PREanalytical Code labeling to improve biospecimen management. His work has resulted in over 100 scientific papers with an h-index of 27, demonstrating substantial impact across computer science, healthcare informatics, and educational technology domains.

• Open Education Policies
• eLearning Pedagogical Design
• Inclusion and Digital Technologies
• +۳ مورد دیگر

Luca Ferrari is an Associate Professor in Didactics and Special Pedagogy at the Department of Education Studies 'Giovanni Maria Bertin', University of Bologna. His research focuses on open education policies, eLearning design, inclusion through digital technologies, and AI in education. He leads the 'AI and Education' unit at ALMA HUMAN AI and coordinates the Erasmus+ project INES (2021–2024), addressing drug abuse prevention in secondary schools. He also co-developed the TOX-OER project (2015–2017), creating toxicology OERs in multiple languages. His EU-funded projects include work in El Salvador on inclusive education and teacher training. Education: PhD in Pedagogical Sciences. Research interests include digital pedagogy, MOOCs, and educational technology integration. He has led initiatives such as the 'Cooperative Digital Education' training course (coode.it) and contributed to the MUSE project improving Latin American university inclusion. His teaching involves school design and evaluation, with integrated exam procedures requiring student documentation submission. He actively participates in interdisciplinary collaborations, such as the FaBiT-EDU partnership for the TOX-OER MOOC platform. His work bridges educational innovation with practical implementation, emphasizing equity and sustainability in digital education strategies.

Francesco Vespignaniمشاهده پروفایل

دانشیار

• Sentence Processing
• ERPs (Event-Related Potentials)
• Language Comprehension
• +۳ مورد دیگر

Francesco Vespignani is an Associate Professor at the University of Padova. His research focuses on the cognitive and neural mechanisms underlying language comprehension, particularly sentence processing, ERPs (event-related potentials), and interactions between syntax and pragmatics. He investigates how language influences visual attention, bilingualism, aging, and deafness. His work integrates psycholinguistic, ERP, and EEG methodologies. Research areas: ERPs and sentence comprehension, syntax-pragmatics interaction, language and visual attention, language in atypical populations (bilingualism, aging, deafness). Publications: Over 40 peer-reviewed articles in journals like Journal of Experimental Psychology , Brain and Language , and Discourse Processes . Recent articles highlight speaker-specific speech prediction, pragmatic leniency toward foreigners, and neural mechanisms of language processing in cochlear implant users. His work bridges cognitive psychology, neuroscience, and linguistics. Key findings include the role of novel linguistic labels in visual attention disengagement and ERP evidence of discourse expectations linked to the question under discussion. Collaborations span Italy, Germany, and the UK, focusing on bilingualism and neurocognitive language processing.

Christian Micheloniمشاهده پروفایل

دانشیار

• Pattern Recognition
• Active Vision
• Neural Networks
• +۳ مورد دیگر

Christian Micheloni is an Associate Professor at the University of Udine's Department of Mathematics and Computer Science. He holds a Laurea (cum Laude) and Ph.D. in Computer Science from the University of Udine (2002 and 2006 respectively). His research focuses on Active Vision, Pattern Recognition, and Resource Aware Networks. He has been involved in European projects like MUSAS (2008-2010) and HAMLet (2006-2008), and collaborates with international research centers and industry. Key research areas include person re-identification using neural networks, trajectory analysis, and camera network optimization. He has received the Best Paper Award at the International Conference on Distributed Smart Cameras (2014) and serves as an editor for the IEEE Journal of Selected Topics in Signal Processing. His work emphasizes real-time surveillance systems and adaptive sensor networks to manage computational and power constraints. Micheloni teaches courses like Artificial Vision and advises post-doctoral researchers. He maintains an active lab (AVires Lab) and offers post-doctoral positions. His publications span journals like IEEE Transactions on Pattern Analysis and Machine Intelligence, and conferences such as CVPR and ICCV.

Graziana Cavoneمشاهده پروفایل

استادیار

• Decision Support Systems
• Modeling and Control of Complex Systems
• Transportation Systems Optimization
• +۴ مورد دیگر

Graziana Cavone is an Assistant Professor in Systems and Control Engineering at the University Roma Tre. She holds a Ph.D. in Electronic and Information Engineering from the University of Cagliari and is qualified as an Associate Professor in Automatica. Her research focuses on decision support systems, transportation networks, energy systems, and industrial automation, with expertise in Model Predictive Control (MPC), Petri Nets modeling, and resilient infrastructure design. Education: Ph.D. (Excellent with Honors), Electronic and Computer Engineering, University of Cagliari (2018) Master’s (Summa Cum Laude), Control Engineering, Polytechnic of Bari (2013) Research Interests: Optimization of intermodal transport terminals and railway networks Energy-efficient building management and microgrids Cyber-physical systems in Industry 4.0 Resilient critical infrastructure control Human-robot collaboration and safe ergonomics Grants & Leadership: Principal Investigator for a National Natural Science Foundation of China grant (2020–2021) Recipient of multiple RTD-B and research fellowships in control systems and automation Organizer of international conferences like IEEE CASE 2024 and MED 2021 Labs & Collaborations: Member of the Decision and Control Laboratory at University Roma Tre Collaborations with institutions like Delft University of Technology and Southwest Jiaotong University Industry partnerships with Enel, Fiat Chrysler Automobiles, and Elettric80

• Robotics
• Control Systems
• Sensor Networks
• +۵ مورد دیگر

Daniele Fontanelli is a Full Professor at the Department of Industrial Engineering , University of Trento, Italy. He holds a Ph.D. in "Automatics, Robotics, and Bioengineering" from the University of Pisa (2006) and a Laurea in Industrial Informatics (2001). He has taught courses such as Internet of Things , Distributed Measurement Systems , and Statistical Estimation at both Trento and Pisa. Research Interests: Robotics, human-robot interaction, signal processing for autonomous systems, UWB localization, distributed sensor networks, and smart grid measurement systems. His work spans mobile robotics, control theory, and embedded systems with applications in medical robotics, warehouse automation, and environmental monitoring. Scientific Contributions: Over 150 publications and leadership roles in European projects like AWARD2.0, SAFESTRIP, and ACANTO. He serves as Associate Editor in Chief for IEEE Transactions on Instrumentation and Measurement. Outstanding Associate Editor (2020) Most Productive Italian Reviewer (2020) Distinguished Service Award (2020)

Raffaele Cerulliمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Graph Theory
• +۵ مورد دیگر

Raffaele Cerulli is a Full Professor of Operations Research at the Department of Mathematics of the University of Salerno, Italy, where he also serves as Head of Department. He is a Member of the Scientific Committee of UMI (Unione Matematica Italiana) and Director of the Laboratory "Model and Applications of Mathematical Methods." His office is located at the Fisciano Campus, Building F2, First Floor, Room 026, with reception hours on Tuesdays from 3:00 PM to 5:00 PM and Wednesdays from 3:00 PM to 4:00 PM. Dr. Cerulli's research focuses on Operations Research, Combinatorial Optimization, and Network Theory . His work spans multiple application areas including wireless sensor networks, vehicle routing, spanning tree problems, and graph optimization. He has made significant contributions to problems involving labeled graphs, minimum branch vertices spanning trees, and maximum lifetime problems in sensor networks. His research combines theoretical developments with practical applications, particularly in transportation and network systems. Analysis of his recent publications (2022-2025) reveals continued strong activity in combinatorial optimization, with particular emphasis on flow problems, spanning tree variants, and sensor network optimization. His work demonstrates consistent methodological innovation, frequently employing exact algorithms, metaheuristics, and mathematical programming approaches to solve complex combinatorial problems. Many of his recent papers represent extensions or novel variants of classical optimization problems with practical constraints. Throughout his career, Dr. Cerulli has maintained extensive collaborations, particularly with researchers Carrabs, Gentili, and Raiconi, resulting in numerous joint publications across top-tier operations research journals. His work has contributed significantly to both theoretical developments and practical applications of optimization techniques in network systems.

Luca Veltriمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things
• Network Security
• +۶ مورد دیگر

Associate Professor Luca Veltri has been with the University of Parma since 2002 and currently holds the rank of Associate Professor in the Department of Engineering and Architecture. He also serves as Director of the Parma Node of the National Cybersecurity Laboratory of CINI and is a member of the Department’s Quality Assurance Committee. His research and teaching revolve around cybersecurity, the Internet of Things, and network protocols. Education Ph.D. in Information and Communication Engineering, University of Rome “La Sapienza” (1999) M.Eng. in Telecommunications Engineering, University of Rome “La Sapienza” (1994) Research Interests Prof. Veltri’s current investigations focus on three main pillars: Cybersecurity: developing threat-detection algorithms and secure architectures for constrained IoT devices; Internet of Things: integrating heterogeneous protocols (LoRaWAN, MQTT, CoAP) and enabling trustworthy, large-scale deployments; Network Protocols & Systems: designing lightweight, privacy-preserving communication stacks and blockchain-based security frameworks. He complements theoretical work with the release of open-source tools such as mjSIP (VoIP library), NEMO (network emulator), and ZWT (cross-platform GUI framework). Recent Publication Trends Over the past five years his scholarly output has gravitated toward machine-learning-driven anomaly detection in medical IoT environments, blockchain solutions for privacy and integrity in location-based services, and secure interoperability between LoRaWAN and other IoT ecosystems. These works blend rigorous algorithmic contributions with real-world validation, appearing in top-tier journals and conferences as well as IETF drafts. Grants & Projects Prof. Veltri has participated in numerous national and international projects funded by: European Union (ACTS, FP6, FP7, H2020) European Space Agency (ESA) Italian Ministry of Education, University and Research (MIUR PRIN) Emilia-Romagna Region Labs & Teams He currently leads the Parma Node of the National Cybersecurity Laboratory (CINI) , coordinating multi-site efforts on IoT and network security. Previously he directed the UniPR Co-Lab Interdepartmental Center (2014–2017) and served as Rector’s Delegate for University Networks and Telephony (2015–2017), overseeing the campus network infrastructure and security posture.

• Bayesian Inference
• Digital Signal Processing
• Global Navigation Satellite Systems (GNSS)
• +۵ مورد دیگر

Alex Minetto is a Fixed-Term Tenure-Track Assistant Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino. He teaches courses such as Satellite Navigation Signal Exploitation and Numerical Estimation Methods across various Engineering programs. Research interests include Bayesian inference, GNSS signal processing, and deep-space navigation. Key research lines involve designing Bayesian filters, lunar orbiter GNSS applications, and RFI threat monitoring. His 2025-2024 publications focus on GNSS for cislunar navigation, solar storm impacts, and inter-orbiter synchronization. Supervised PhD students include Lorenzo Sciacca, Luca Morichi, and Anais Delepaut. He contributes to projects like INSPIRE and collaborates with NavSAS research group.