جست‌وجوی استاد و پژوهشگر

• Human Resource Management
• Organizational Behavior
• Digital Transformation in Workplaces
• +۶ مورد دیگر

Tommaso Fabbri is a Full Professor at the Department of Economics Marco Biagi, University of Modena and Reggio Emilia, Italy. He holds the position of Candidate Rettore (Rector candidate) and specializes in Human Resource Management (HRM), organizational behavior, and digital transformation in workplaces. His research focuses on the intersection of technology, work dynamics, and employee well-being, particularly in digitalized environments. He teaches courses like Data-Driven Human Resource Management, emphasizing modern HR practices in analytics-driven contexts. Key research interests include performance management systems, workplace autonomy, work-life balance, and the implications of digitalization on employee attitudes and stress. He collaborates with the Marco Biagi Foundation and has published extensively on topics such as remote work well-being, healthcare workforce resilience, and the role of HR analytics in organizational decision-making. Publications highlight empirical studies on digital workplaces, including analyses of employee attrition, stress factors, and work ability in healthcare settings. He advocates for data-driven HR strategies and explores the challenges and opportunities of hybrid work models. Projects often involve interdisciplinary collaborations, integrating organizational theory with quantitative methods to address contemporary workplace issues. His work has practical implications for organizations seeking to optimize HR practices through digital tools and promote sustainable work environments. Notable contributions include studies on the Green Transition’s impact on labor quality and the design of Total Worker Health® interventions in healthcare institutions.

Michela Bonatoمشاهده پروفایل

استاد مدعو

• Political Geography
• Urban Studies
• Chinese Urbanization
• +۵ مورد دیگر

Michela Bonato is an Adjunct Professor at Ca' Foscari University of Venice, affiliated with both the Department of Humanities and the Department of Asian and North African Studies. Her research focuses on political geography, urbanization in China (particularly Chongqing), environmental policy, and cultural heritage management. She explores themes such as spatial discourse analysis, eco-civilization narratives, and the intersection of gender and academic labor. Her teaching includes courses on Chinese culture, geopolitical economics, and tourism innovation. Recent publications analyze urban renewal in China, the political use of cultural heritage, and digital ethnography during the pandemic. She frequently critiques sustainability models and examines soft power strategies through case studies in Chongqing and other Asian regions. Bonato's work bridges theoretical geography with empirical studies, emphasizing the role of spatial narratives in shaping political and economic realities. Her research also engages with global-local dynamics, particularly in contexts of urbanization and environmental governance.

• Environmental Economics
• Econometrics
• Matrix Completion Methods
• +۳ مورد دیگر

Francesco Biancalani is a Researcher (RTD-A) at the IMT School for Advanced Studies in Lucca. He holds a Ph.D. in Management Science from IMT Lucca (2018) and was a visiting researcher at the MSI of KU Leuven in Belgium (2016). His work focuses on econometrics, matrix completion methods, and their applications to environmental policy, sports analytics, and economic systems analysis. Education: Ph.D. in Management Science, IMT Lucca (2018) Visiting Researcher, MSI, KU Leuven (2016) Research interests include: Environmental Economics: Modeling CO₂ emissions and policy impacts Data Science: Matrix completion for missing data reconstruction Sports Analytics: Player valuation using Shapley values Policy Evaluation: Startup acts and regional disparities His recent articles focus on matrix completion techniques applied to diverse fields such as climate policy, sports performance, and economic systems. Findings highlight the versatility of these methods in addressing complex data challenges. Advising/Grants: No advising roles or grants explicitly listed in the provided text. Labs/Teams: No specific labs or teams mentioned in the text.

• Complex Networks
• Neuroscience
• Functional Brain Connectivity
• +۳ مورد دیگر

Tommaso Gili is an Assistant Professor at the IMT School for Advanced Studies Lucca, specializing in interdisciplinary research at the intersection of network science, neuroscience, and biomedical engineering. His work focuses on analyzing complex systems through network theory and advanced imaging techniques, with emphasis on brain connectivity, functional networks, and their disruptions in neurological disorders. Key research areas include: Functional and structural brain network integration Multi-scale Laplacian analysis in heterogeneous systems Applications of network theory to medicine (e.g., schizophrenia, epilepsy, inflammatory bowel disease) Development of novel methods for network coarse-graining and renormalization His research leverages fMRI, MRI, and computational modeling to study: Cerebral blood flow dynamics Neurological connectivity alterations Biomedical signal processing Complex disease biomarker discovery Notable contributions include innovations in: Functional connectivity analysis of C. elegans Topological symmetry-breaking in brain networks Machine learning approaches for brain digital twins

Giuseppe Paceمشاهده پروفایل

پژوهشگر

• Local Development
• Cultural Heritage
• Transport Infrastructure Planning
• +۷ مورد دیگر

Giuseppe Pace is a Researcher at the Italian National Research Council (CNR) 's Institute for Research on Innovation and Services for Development since 1994 . He currently chairs the COST Action CA18110 on underground built heritage valorisation and collaborates with institutions in Italy, Belgium, Israel, and the UK . His work spans local development, cultural heritage, and transport infrastructure planning . Education : Honors degree in Civil Engineering, University of Naples 'Federico II' (1990) His research focuses on Mediterranean cities, sustainable transitions, and large transport infrastructures , emphasizing social networks, collective learning processes, and decision-making frameworks . He leads projects integrating heritage conservation with community development , including the COST Action Underground4value (2019-2023), which explores underground spaces as catalysts for sustainable tourism and regional growth . His publications analyze underground heritage valorisation, sustainable port development, and innovation systems . Key collaborations include roles at the University of Ghent (2008-2018) and the European Commission (2003-2007) as a Trans-European Transport Network evaluator. Awards and Grants : COST Action CA18110 (2019-2023) FEMISE Network Project (2003-2005) Italian Ministry for Scientific Research Funding (2003-2005) Mediterranean Metropolitan Systems research (1995-1997) He serves as a referee for journals like Papers in Regional Science and Research in Transportation Economics , and contributes to European Commission initiatives (TAIEX, ERASMUS+).

• Experimental Psychology
• Visual Attention
• Perception
• +۳ مورد دیگر

Matteo Valsecchi is an Associate Professor at the Department of Psychology 'Renzo Canestrari' of the University of Bologna since 2022. His research focuses on experimental psychology, particularly visual attention, perception, and motor control, with emphasis on eye movement dynamics. He holds a PhD in Cognitive Science and Education from the University of Trento and a Psychology degree from Università Vita-Salute San Raffaele. Education: PhD in Cognitive Science and Education, University of Trento (2004–2007) Psychology Degree, Università Vita-Salute San Raffaele, Milan (2000–2004) Research Experience: Senior Researcher at University of Bologna (2019–2022) Postdoc Fellowships at Justus-Liebig University of Giessen (2011–2019) His work explores mechanisms underlying visual perception, attentional control, and sensorimotor integration. Office hours: Wednesday 9:30–10:30 at Viale Berti Pichat 5, Bologna, or via Teams by arrangement.

• Neuropsychology
• Cognitive Neuroscience
• Motivation
• +۷ مورد دیگر

Francesca Starita is an Assistant Professor at the Department of Psychology "Renzo Canestrari" of the University of Bologna, Italy, and a core member of the Neuroscience of Motivation, Decision, and Learning Group. Her research focuses on the psychophysiological and neural bases of motivation, reinforcement learning, and affective processing, particularly fear and pain. She employs multimodal methods including behavioral assessments, EEG, TMS, and psychophysiological measures. Education: BSc Neuroscience, King’s College London (2008-2011) MSc Developmental Neuroscience and Psychopathology, University College London (2011-2013) PhD in Cognitive Neuroscience, University of Bologna (2014-2018) ReActor School of Entrepreneurship and Innovation, Fondazione Golinelli (2020) Research Interests: Francesca investigates how threat learning, fear, and pain modulate cognitive and motor processes. Her work integrates neuroimaging (EEG), neuromodulation (TMS), and behavioral paradigms. Current projects include studying the motor system’s role in decision-making under threat (MoDeM grant) and fear’s influence on motor responses (BIAL Foundation). Grants & Awards: BIAL Foundation Grant (2021-2024): €50k Human Brain Project MoDeM (2020-2023): €600k (Co-I) AIP Best PhD Thesis Award (2019): €500 Advising & Collaborations: Francesca collaborates with institutions like the Netherlands Institute for Neuroscience, Institut des Sciences Cognitives (France), and the University of Geneva. She co-organizes major conferences such as the European Meeting of Human Fear Conditioning and leads science communication initiatives like the European Researcher’s Night. Labs & Teams: She is part of the MoDeM research group and the Neuroscience of Motivation, Decision, and Learning team at the University of Bologna, focusing on motor-cognitive interactions in decision-making.

• Cognitive Psychology
• Neuroscience
• Body Representation
• +۵ مورد دیگر

Alessia Tessari is an Associate Professor at the Department of Psychology 'Renzo Canestrari', University of Bologna, specializing in Cognitive Psychology and Experimental Psychology. Her research focuses on body representation, action imitation, apraxia, and the effects of physical exercise on cognitive abilities in children and older adults. She coordinates the BRACCO research group (Body Representation and ACtion COgnition). Education : PhD in Cognitive Neuroscience (S.I.S.S.A., Trieste, 2004) MSc in Forensic Psychology (University of Padova, 2000) BSc in Experimental Psychology (University of Padova, 1998) Research Interests : Body perception and dysmorphia Neurological disorders (e.g., apraxia) Neurorehabilitation using virtual reality Cognitive effects of physical activity Motor control and visuomotor pathways Key Projects : Leading the I-MOVE study on active breaks in schools Developing VR tools for stroke rehabilitation Investigating decision-making in athletes and older adults Lab/Teams : Coordinates the BRACCO group, focusing on interdisciplinary approaches to body representation and action cognition.

• Psychology
• Communication Studies
• Medical Interaction
• +۳ مورد دیگر

Renata Galatolo is an Associate Professor in the Department of the Arts at the University of Bologna. Her research focuses on communication dynamics in healthcare, disability inclusion, and social interaction, with a particular emphasis on multimodal interaction, clinical communication, and collaborative learning. She explores how touch, language, and instructional frameworks facilitate navigation and decision-making for visually impaired individuals in medical and sports contexts. Her work bridges psychology, linguistics, and sociology, analyzing dialogues in settings like prosthetic clinics, guide-dog training, and family interactions. Recent studies examine the role of repetition, prosody, and gesture in guiding visually impaired athletes, as well as strategies for reducing asymmetry in doctor-patient communication. Galatolo’s publications span over two decades, with key contributions to understanding morality construction in family dinners, the modality-switch effect in language processing, and the role of apologies in legal discourse. She collaborates with medical teams, sports organizations, and educational institutions to advance inclusive communication practices. Her research has been supported by grants focused on disability studies and healthcare communication, though specific funding details are not provided here. She advises no listed students but actively engages in training programs for visually impaired athletes and clinicians. Galatolo’s office is located at Via Azzo Gardino 23, Bologna, where she holds weekly appointments for consultations. She is a member of interdisciplinary research networks addressing interactional sociolinguistics and embodied cognition.

• Regional Economics
• Spatial Statistics
• Econometrics
• +۴ مورد دیگر

Roberto Patuelli is an Associate Professor of Economic Policy at the Department of Economics, University of Bologna. He holds a Ph.D. in Economics from Vrije Universiteit Amsterdam and has extensive experience in academic roles across Europe, including post-doctoral research and teaching at institutions in Switzerland, Germany, and Italy. His research focuses on regional economics, spatial statistics, econometrics, and transportation policy, with a particular emphasis on complex networks and regional innovation processes. Education: Bachelor in Statistics and Economics (University of Bologna), M.A. in Transportation Policy (George Mason University), and Ph.D. in Economics (Vrije Universiteit Amsterdam). Past roles include visiting researcher positions at ETH Zurich and the ZEW Centre in Mannheim, as well as editorial roles for journals like REGION and Tourism Economics. He has coordinated major research projects, including the JPI-Urban Europe 'SmartHubs' initiative. Research interests span spatial econometrics, neural network forecasting, commuting networks, and the economic impact of tourism. He has authored over 50 peer-reviewed articles and edited volumes, including works on spatial filtering and gravity models. Awards include the Italian National Scientific Qualification for full professorial roles in economic policy and applied economics. Grants and collaborations include leadership in projects funded by the Swiss National Science Foundation, the European Commission, and the Italian Ministry of Research. He advises on tourism and regional policy, with a focus on spatial interaction models and policy evaluation. His teaching spans undergraduate and graduate courses in regional economics, tourism economics, and spatial statistics. Labs/Teams: Active member of the Rimini Centre for Economic Analysis and collaborator with institutions like the University of Oviedo and ETH Zurich. His work bridges theoretical econometrics with applied policy analysis in regional development.

Fabrizio Rossiمشاهده پروفایل

استاد

• Integer Programming
• Combinatorial Optimization
• Network Optimization
• +۸ مورد دیگر

Fabrizio Rossi is a Full Professor of Operations Research at the University of L'Aquila, Department of Information Engineering, Computer Science and Mathematics. He has been a member of the Board of Administration at the university since 2019 and previously from 2010 to 2012. His academic career spans over two decades, including roles as Associate Professor (2005–2019) and Assistant Professor (1997–2002). Education: Ph.D. in Operations Research, University of Rome 'La Sapienza' (1996) Laurea Degree in Electrical Engineering, University of Rome 'La Sapienza' (1992) Visiting Student in IEOR at Columbia University, New York (1996) Operations Research School, Scuola di Matematica Interuniversitaria (1996) Research Interests: Fabrizio Rossi specializes in large-scale optimization methodologies, including Integer Programming and Combinatorial Optimization. His work addresses complex applications in telecommunications network design, manufacturing process optimization, logistics systems, and healthcare. Recent innovations include algorithms for DNA sequence optimization and tumor classification using machine learning. He focuses on practical solutions through advanced techniques like lift-and-project operators and robust optimization frameworks, with significant contributions to scheduling and resource allocation in call centers and satellite missions. Scientific Awards: Informs Computing Society Prize (2014) (collaborative with Jim Ostrowski, Jeff Linderoth, Stefano Smriglio) Finalist, Euro Excellence in Practice Award (2006) for research on terrestrial broadcasting migration Advising and Grants: As a project leader, he coordinated major initiatives such as: PRIN 2010–2012 : Integer Programming methods for radio transmission networks 2008–2009 : Analog-to-digital broadcasting migration optimization IST SAILOR Project (2002–2005) : Satellite UMTS emulation systems He also contributed to European Space Agency's MAS Project (2004–2006) and collaborated with Italian regulatory bodies on telecommunication projects. His research portfolio includes over 50 projects since 1993, emphasizing real-world applications in manufacturing, logistics, and healthcare systems. Labs/Teams: His research is conducted within the Department's optimization groups and industry partnerships. Collaborations include ESA satellite scheduling, RAIWay frequency assignment, and healthcare institutions for treatment planning systems.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

• Tax Economics
• Double Tax Treaties
• Foreign Direct Investment
• +۳ مورد دیگر

Martin Zagler is a Professor at the University of Eastern Piedmont's Department of Economics and Business Studies. His research focuses on international taxation, economic growth, and foreign direct investment in developing economies. Zagler investigates tax treaty formations, bilateral tax competition dynamics, and mechanisms like tax sparing that influence investment flows. His work combines economic theory with empirical analysis to understand fiscal policy impacts. Recent publications analyze tourism taxes along Italian coasts, wage premiums in China, and predictive models for treaty formation using machine learning. His research consistently examines how tax structures influence economic behaviors between nations.

Myriam Marianiمشاهده پروفایل

استاد

• Applied Economics
• Innovation Economics
• Gender Studies in Innovation
• +۲ مورد دیگر

Myriam Mariani is a Full Professor of Applied Economics at Bocconi University, where she also serves as the Dean for Strategy. She holds a PhD from Marche Polytechnic University and completed a postdoctoral Marie Curie fellowship at MERIT. Her research explores inventors' motivations, gender disparities in innovation, career impacts of temporal flexibility, and knowledge transmission processes. Research interests include labor economics in innovation, gender dynamics in STEM fields, organizational behavior in R&D, and strategic management of intellectual property. Her work combines empirical analysis with policy implications for workforce diversity and innovation efficiency. Her recent publications focus on parental impacts on inventor careers, cross-cultural acquisition effects on gender equity, and leadership development in industrial research. She teaches courses on Industry Analysis and Innovation Economics.

Giacomo Zanellaمشاهده پروفایل

دانشیار

• Computational Statistics
• Applied Probability
• Machine Learning
• +۳ مورد دیگر

Giacomo Zanella is an Associate Professor in Statistics at Bocconi University and a research affiliate of the Bocconi Institute for Data Science and Analytics (BIDSA). His academic work focuses on the intersection of Computational Statistics, Applied Probability, and Machine Learning, with a particular emphasis on Bayesian computation. He earned his PhD from the University of Warwick in 2015 and was honored with the EPSRC Doctoral Prize Fellowship (2015–2016). Education: PhD in [Discipline Not Specified] from the University of Warwick, 2015 Research Interests: Zanella’s research spans Computational Statistics , Applied Probability , and Machine Learning . His work integrates theoretical advancements and practical applications, including Monte Carlo methods, Markov Chain Monte Carlo (MCMC) algorithms, computational complexity of Bayesian methods, Bayesian Nonparametrics, hierarchical models, random partition models, stochastic processes, and spatial statistics. He also explores applied areas like clustering, record linkage, and variable selection, leveraging interdisciplinary approaches to statistical analysis. Scientific Awards: EPSRC Doctoral Prize Fellowship (2015–2016) Various international research awards (names unspecified) Advising and Grants: Zanella’s role as an Associate Professor involves advising students, though specific advisees are not listed here. While no explicit grant details are provided, his research has been supported by fellowships such as the EPSRC Doctoral Prize Fellowship. He has also contributed to course development in advanced computational methods and Bayesian theory. Labs and Teams: He is affiliated with the Bocconi Institute for Data Science and Analytics (BIDSA) , collaborating with interdisciplinary teams to advance data-driven statistical methodologies and machine learning applications.