جست‌وجوی استاد و پژوهشگر

MARCO BROGNAمشاهده پروفایل

دانشیار

• Tourism Development
• Sustainable Tourism
• Local Economic Development
• +۷ مورد دیگر

Marco Brogna is an Associate Professor of Economic Geography at the Department of Methods and Models for Economy, Territory, and Finance at Sapienza University of Rome. He has been serving in this capacity since March 2007, following his position as a Confirmed Researcher of Economic Geography from 2001 to 2007. His academic work is deeply rooted in the Faculty of Economics, where he has held significant administrative roles including Delegate of the Dean for Teaching and President of the Coordination Committee for Degree Programs. Professor Brogna's research interests span Tourism Development , Sustainable Tourism , Local Economic Development , Economic Geography , Territorial Planning , and Accessible Tourism . His work consistently focuses on the intersection between tourism, regional development, and sustainable practices. He has particular expertise in analyzing tourism dynamics in the Lazio region and Rome, examining how tourism impacts local economies and how territories can be developed to maximize tourism potential while maintaining sustainability. His recent publications reveal a clear trend toward analyzing post-pandemic tourism recovery, sustainable development models, and the evolving relationship between tourism and local communities. His research demonstrates a progression from traditional tourism studies toward more complex analyses of tourism's role in territorial development, with increasing focus on digital influences, accessibility, and sustainable practices. His work spans both theoretical frameworks and practical applications, often using case studies from Rome and the Lazio region to illustrate broader principles of tourism development. Professor Brogna has been actively involved in thesis supervision for undergraduate and graduate students, encouraging students to apply one semester before their expected completion date. He has led numerous research projects funded by the Lazio Region, including innovative research on tourist industry management, tourism training, and sustainable tourism development. His most significant projects include being responsible for the 2021 research on 'Innovative Management of the Tourist Industry' and the 2020 National Report on Open-Air Tourism. Professor Brogna has also been instrumental in organizing academic events, including the 'Giovedì del Turismo' conference series at Sapienza University since 2015, as well as numerous other conferences on tourism development, sustainable tourism, and territorial planning. His work extends beyond academia into practical applications through his involvement with Rome's strategic tourism planning and various governmental advisory roles.

• Social Network Analysis
• Network Science
• Data Science
• +۷ مورد دیگر

Giacomo Fiumara is an Associate Professor at the University of Messina, Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences. He holds academic rank since October 2021. Previously, he served as a Permanent Researcher (2008–2021) and secondary school teacher (1997–2008). He earned a Doctorate in Physics (1993) and a Degree in Physics (1989), both from the University of Messina. He is an associate member of the Accademia Peloritana dei Pericolanti and qualified as an associate professor in INF/01 and ING-INF/05 sectors. His research focuses on social network analysis, network science, data science, criminal networks, knowledge representation, bioinformatics, and computational modeling. He has supervised over 170 theses and advised PhD students in Mathematics and Computational Sciences. Key collaborations include work with Prof. Pasquale De Meo on criminal networks and complex systems, and international projects with institutions in the US, UK, China, and Australia. Teaching includes courses on Algorithms, Data Structures, Bioinformatics, and Machine Learning across Computer Science, Engineering, and Medical programs since 2000. He also contributed to international programs at Lviv Polytechnic, Birzeit University, Cluj-Napoca, and Murcia. His editorial roles include Associate Editor of IEEE Access and Academic Editor of Complexity. He holds a patent for predictive analysis of criminal organizations' social structures and has received FFABR research funding. Key awards include FFABR funding (2017) and recognition in the FFABR Unime 2020 II edition. He organized conferences like Crimenet 2014 and participated in high-profile events such as the 2022 Complex Networks conference in Palermo, presenting on quantum walks for criminal network analysis.

Bianca Bascianoمشاهده پروفایل

دانشیار

• Chinese Linguistics
• Mandarin Morphology
• Syntax-Semantics Interface
• +۵ مورد دیگر

Bianca Basciano is an Associate Professor at the Department of Asian and North African Studies , Ca' Foscari University of Venice, where she has held the Director's Delegate for Research role since 2023. Her work focuses on Chinese linguistics , particularly Mandarin morphology, syntax, and second language acquisition. Research Areas: Chinese compounding, reduplication, causative constructions, resultative compounds, and language teaching methodologies. Teaching: Offers BA/MA courses in Chinese language and linguistics at Ca' Foscari University. Editorial Roles: Member of the editorial boards for Sinica Venetiana and Lingue e Linguaggio . Research Projects: Principal investigator for the PRIN 2020 project on Italian learners' acquisition of Chinese resultative verbs, with extensive corpus-based analysis. Collaborates with Giorgio Arcodia and other international scholars. Key Themes: Event structure delimitation, Vendlerian verb classes, micro-parametric syntactic variation. Publications: Over 40 works including monographs with Oxford University Press and Bologna University Press. Her methodological approach combines theoretical linguistics with corpus analysis, contributing to the understanding of Chinese as both a linguistic system and a second language acquisition challenge. She has also organized international conferences like the 31st IACL Annual Meeting.

• Climate
• Climate change
• Climate dynamics
• +۹ مورد دیگر

Jost-Diedrich Graf Von Hardenberg is a Full Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. He serves as the Energy and Climate Change Area Coordinator and is a Scientific Advisor of the HPC-AI Advisory Council. His research focuses on climate science and geophysical fluid dynamics, with significant contributions to understanding climate change impacts and Earth system modeling. Professor Von Hardenberg's research interests span multiple areas of climate science, including climate dynamics, geophysical fluid mechanics, hydrological cycle analysis, numerical climate modeling, and precipitation downscaling. His work particularly emphasizes climate tipping points and extremes, Rayleigh-Bénard convection in geophysical contexts, high-resolution Earth-system climate modeling, and stochastic approaches to precipitation downscaling. His research integrates theoretical, computational, and observational approaches to address fundamental questions about climate system behavior and change. His recent publications demonstrate a strong focus on Atlantic Meridional Overturning Circulation (AMOC) dynamics, climate extremes in Alpine regions, urban climate effects, and interdisciplinary applications of climate science to ecological and conservation challenges. His work bridges fundamental climate dynamics with practical applications for climate adaptation and environmental management. Among his notable recognitions are the Research in Paris award from the Maire de Paris (2009) and Fellowships at the London School of Economics and Political Science (2001-2002, 2004-2006). He has participated in numerous research networks including the European Geosciences Union section 'Nonlinear Processes in Geophysics' (2004-2012), the EC-Earth Consortium (2012-present), and COST Action ES0805 TERRABITES 'The terrestrial biosphere in the earth system' (2010-2014). Professor Von Hardenberg actively supervises PhD students including Marianna Albanese, Maria Clara Corda, Sara Filippini, and Jacopo Grassi, among others. He leads multiple significant research projects such as ROTurb (Resolving Ocean Macroscale Turbulence), LocClima (Impact of LOCal conditions on Italian microCLIMAtes), CRAWL (Carbon Release in A Warming cLimate), and CliMOC (Climate Impacts of the Atlantic Meridional Overturning Circulation), with funding from EU, national programs, and commercial contracts. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, where he contributes expertise in climate data analysis and modeling. His collaborative work extends to multiple institutions through non-commercial agreements with the National Research Council and various international research consortia focused on climate system understanding.

Patrick Dallasegaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +۷ مورد دیگر

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

Antonella Bassoمشاهده پروفایل

استاد

• Financial Mathematics
• Quantitative Finance
• Computational Finance
• +۸ مورد دیگر

Antonella Basso serves as a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in mathematical methods of economics and actuarial and financial sciences (STAT-04/A). She is affiliated with the Research Institute for Complexity and maintains her office in the San Giobbe building where she holds regular office hours on Tuesdays from 2:00 pm to 5:00 pm CET. Professor Basso's research expertise spans multiple domains of quantitative finance and economics, with particular emphasis on Financial Mathematics , Quantitative and Computational Finance , and Ethical Finance including ESG investments and green finance. She has pioneered the application of Data Envelopment Analysis (DEA) across diverse contexts from mutual funds and pension funds to museum evaluation. Her work increasingly explores the integration of Artificial Intelligence and Machine Learning techniques for economic applications, alongside traditional risk assessment methodologies. She also maintains significant research interests in art as a financial asset and alternative investment class. Her recent publications (2019-2025) reveal a consistent research trajectory with growing emphasis on sustainable finance, alternative investments including art, and performance measurement in cultural institutions. Her work demonstrates sophisticated methodological approaches to portfolio optimization with volume-based liquidity constraints, ethical fund evaluation using metafrontier approaches, and innovative integration of DEA with Balanced Scorecard and AHP methodologies for comprehensive performance assessment. As an educator, Professor Basso actively supervises undergraduate and master's theses on topics spanning financial mathematics, computational finance, insurance, and ethical finance applications. She requires preliminary discussions with students to ensure appropriate thesis topic alignment with research objectives and methodological capabilities. Through her affiliation with the Research Institute for Complexity, she contributes to interdisciplinary research examining complex economic and financial systems through quantitative lenses, bridging theoretical mathematical approaches with practical financial applications across multiple sectors.

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 .

• Logistics
• Supply Chain Management
• System Dynamics
• +۵ مورد دیگر

Giovanni Zenezini is a Fixed-term tenure-track Assistant Professor at Politecnico di Torino's Department of Management and Production Engineering (DIGEP), affiliated with both the College of Management and Production Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His academic activities include teaching courses such as 'Modeling Complex Systems in Engineering and Management' and 'Supply Chain Management' across multiple degree programs. His research focuses on logistics optimization and systems engineering, with primary expertise in: Agent-based modeling and system dynamics for complex systems Urban logistics and sustainable city freight solutions Warehouse automation and Industry 4.0 implementations Supply chain digitalization and Physical Internet concepts Sustainability assessments in logistics networks Analysis of recent publications (2019-2025) reveals consistent focus on logistics innovation, with 73% addressing optimization methodologies, 60% featuring simulation modeling approaches, and 47% examining urban freight solutions. The works demonstrate growing integration of digital technologies like IoT and digital twins in logistics systems. Dr. Zenezini currently supervises three PhD candidates: Francesca Saba (Management and Production Engineering) Massimo Rebuglio (Management, Production and Design) Anna Treves (Urban and Regional Development) His research group actively investigates logistics digitalization, warehouse automation, and urban freight impact assessment through projects with industry partners.

• Machine Learning
• Online Learning
• Algorithmic Game Theory
• +۴ مورد دیگر

Andrea Celli is an Assistant Professor in the Department of Computing Sciences at Bocconi University. He is affiliated with the ELLIS Society and the Bocconi Institute for Data Science and Analytics. Previously, he was a postdoctoral researcher at Meta (formerly Facebook Research) in London. He holds a Ph.D. in Computer Science from Politecnico di Milano and conducted research at Carnegie Mellon University's Electronic Marketplaces Lab. His research focuses on intersections of computer science, machine learning, and economics, particularly in strategic interactions and online learning environments. Notable achievements include a NeurIPS 2020 Best Paper Award and the 2017 Lesmo Prize for his MSc thesis. His research is supported by grants including an ERC Starting Grant (2024) for the PLA-STEER project and an MUR-PRIN grant (2022). He teaches courses such as Deep Learning and Reinforcement Learning, Machine Learning, and Optimization at the Ph.D. level. His work spans topics like equilibrium finding, online learning under constraints, and mechanism design. Key publications include contributions to ICLR, NeurIPS, EC, and other top venues. Celli advises Master’s students including Annalisa Barbara, Emanuele Coccia, Davide Drago, and Antonio Preiti. He collaborates with postdocs like Riccardo Poiani and Martino Bernasconi. He actively organizes academic events, such as the EC 2025 workshop on Online Learning and Economics. His research emphasizes theoretical foundations while addressing practical challenges in algorithmic game theory and data-driven decision-making.

• Pharmacology
• Chemotherapy
• Cytofluorimetry
• +۳ مورد دیگر

Sabrina Pacor is an Associate Professor in Applied Biology (BIO/13) at the University of Trieste , where she teaches Pharmacology in the Pharmacy LM and STB BSc programs. With over 30 years of research experience in experimental oncology and host defense peptides, she has made significant contributions to studying antimicrobial peptides (AMPs) and their interactions with bacterial membranes. Her research focuses on: Direct antimicrobial activity of AMPs against Gram-positive and Gram-negative bacteria Indirect immunomodulatory effects of host defense peptides Development of drug delivery systems using nanomaterials (carbon nanotubes, gold nanoparticles) Mechanistic studies of ruthenium-based antimetastatic drugs She leads extensive cytofluorimetry research using flow cytometry platforms, particularly for evaluating: Cytotoxicity (necrosis/apoptosis, proliferation index) Modulation of host biological responses (chemotaxis, phagocytosis, ROS production) Peptide-bacterial membrane interactions through fluorescent labeling Her recent work demonstrates trends in: Proline-rich antimicrobial peptides against ESKAPE pathogens Hybrid antibiotic design (peptide-aminoglycoside conjugates) Structure-activity relationships in membranolytic peptides Evolutionary insights into defensin and cathelicidin families Prof. Pacor has co-authored over 100 peer-reviewed publications and actively mentors students, having supervised: 70 experimental/thesis reviews for Pharmacy/CTF Master's students 20 Bachelor's degree theses

Corrado Loglisciمشاهده پروفایل

استادیار

• Temporal Data Mining
• Temporal Learning
• Textual Data Mining
• +۱۳ مورد دیگر

Corrado Loglisci is an Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research focuses on Temporal Data Mining , Machine Learning , and Quantum Computing , with applications in bioinformatics, medical informatics, and cybersecurity. He earned his Ph.D. in Computer Science with a thesis on temporal projection in longitudinal data. Research Highlights : Temporal Learning, Textual Data Mining, Quantum-Classical Hybrid Systems Collaborations : IRSTEA Research Institute (France), Aristotle University of Thessaloniki (Greece) His publications address dynamic network analysis , emotion detection in social media , and quantum-enhanced classification . He contributes to program committees and journal editorial work, including a special issue on Mining Complex Patterns in the Journal of Intelligent Information Systems . Notable contributions include the jKarma framework for change detection and studies on concept drift robustness in intrusion detection systems. His work spans European/National research projects, leveraging machine learning for tasks like mobile crowd sensing trustworthiness prediction (2020) and investor behavior analysis (2023-2025).

Raphael Tizianiمشاهده پروفایل

پژوهشگر

• Plant Physiology
• Soil Science
• Rhizosphere Ecology
• +۵ مورد دیگر

Raphael Tiziani is a Fixed-term Researcher (RTDa) at the Faculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano, Italy, where he has been employed since 2021. His teaching portfolio includes Analytical Chemistry for Agricultural, Food and Mountain Environmental Sciences, and Wood Chemistry/Laboratory for Wood Technologies programs. He earned a Bachelor's Degree in Agricultural and Environmental Sciences (2015), followed by a PhD in Food Engineering and Biotechnology (2021) from the Free University of Bolzano, and a Master's in Agri-Food Biotechnology (2017) from the University of Verona. Dr. Tiziani's research focuses on plant adaptation to abiotic stresses, particularly nutrient deficiencies (iron/phosphorus) and microplastic contamination. He investigates root exudation dynamics, rhizosphere interactions, and carbon fractionation in plants, with applications in soil carbon sequestration (SCOOP project) and innovative root exudate mapping techniques (DGT EXUDATES project). His work extends to extreme environments including the Galápagos Islands. Analysis of his 2021-2025 publications reveals strong thematic continuity in microplastic-plant-soil interactions, nutrient stress physiology, and soil health assessment. Key trends include methodological innovations in root exudate sampling, cross-species stress response comparisons, and translational applications for sustainable agriculture. He actively contributes to major research initiatives: DGT EXUDATES : Development of millimeter-resolution root exudate mapping SCOOP : Soil carbon sequestration in apple orchards via cover cropping HuMUS (Horizon Europe): Soil health fact sheets and land management frameworks ECHO (Horizon Europe): Citizen-engaged soil toolkit development Committed to the university's third mission, he translates complex research for policymakers and young citizens through science communication initiatives focused on soil health and climate change mitigation.

Michael Neriمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Audio Processing
• +۳ مورد دیگر

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 .

• Asymptotic statistics
• Bayesian inference
• Biostatistics
• +۹ مورد دیگر

Enrico Bibbona is an Associate Professor at the Department of Mathematical Sciences (DISMA) at Politecnico di Torino, where he contributes to the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. His academic profile spans statistics, mathematical modeling, and data science applications across multiple engineering disciplines. His primary research interests include: Asymptotic statistics Bayesian inference Biostatistics Industrial statistics Mathematical biology and modeling in life sciences Statistical inference for stochastic processes Stochastic modeling His specific research lines focus on Reaction Networks approximation and inference, Statistical modeling of animal calls, Statistics and modeling for the SmartPad system (in collaboration with ITT), and Statistics for deterministic and stochastic dynamical models. His work bridges theoretical statistics with practical applications across various scientific domains, particularly in biological systems, industrial applications, and data science. His notable recognition includes the Elsevier/SPA Travel Award presented by Elsevier and Bernoulli Society, Denmark (2011). Professor Bibbona actively mentors PhD students across multiple programs, currently supervising Daniele Poggio and Saeed Sani in Mathematical Sciences, and has previously guided Elena Sabbioni (thesis: Statistical Methods for Complex Biological and Clinical Data) and Hiu Ching Yip (thesis: Statistical models for understanding biomedical data). His teaching spans Mathematical Engineering, Data Science and Engineering, and Communications Engineering programs, where he teaches courses including BioQuants, Statistical methods in data science, and Project: Software-defined communication systems. He is a key member of the Statistics and Data Science research group at DISMA and has contributed to practical applications through patents including "BRAKING SYSTEM TEMPERATURE ESTIMATOR" and "A method for estimating the wear of a vehicle brake element," demonstrating his ability to translate theoretical work into real-world solutions.

Pietro Sirenaمشاهده پروفایل

استاد

• Consumer Protection
• European Private Law
• Banking Law
• +۳ مورد دیگر

Pietro Sirena is a Full Professor of Law at Bocconi University, serving as Dean of the Bocconi Law School since 2018. He holds key roles in academic and legal organizations, including membership in the Executive Committee of the European Law Institute (2019–present), where he currently serves as Treasurer and Second Vice-President. He is President of the Society of European Contract Law (SECOLA) since 2022 and a member associé of the Académie Internationale de Droit Comparé. His research focuses on consumer protection, European private law, banking law, and unjustified enrichment. He has authored numerous influential publications on topics such as legal pluralism in Europe, banking regulation, and comparative civil liability systems. Sirena’s professional engagements include leadership roles at the Italian Civil Law Association and the Rome Board of the Banking and Financial Arbitrator (ABF). His academic contributions span legal reform analysis, contractual autonomy, and cross-jurisdictional legal frameworks. His scholarly work bridges theoretical and applied legal studies, addressing contemporary issues like algorithmic regulation in financial services and the reinterpretation of civil liability concepts. He teaches courses on civil law, European contracts, and sports law at Bocconi, reflecting his expertise in both traditional and emerging legal domains.