جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +۶ مورد دیگر

Giosuè Lo Bosco is a Full Professor of Computer Science (SSD INFO-01/A) at the Department of Mathematics and Computer Science, University of Palermo, Italy. He teaches courses such as Artificial Intelligence and Deep Learning, Programming and Laboratory, and Biomedical Research Methodology across multiple schools including the School of Basic and Applied Sciences, the Polytechnic School, and the School of Medicine and Surgery. His research interests include artificial intelligence, machine learning, pattern recognition, bioinformatics, natural language processing, and soft computing. These areas reflect his interdisciplinary approach, bridging computer science with biomedical and data-intensive applications. He serves as an associate editor for the journals Information Sciences (Elsevier) and BMC Bioinformatics (Springer Nature), indicating active engagement and recognition in the international research community. While no specific scientific awards are listed, his editorial roles and sustained teaching and research activities underscore his academic contributions. He advises students and contributes to academic supervision, although no named advisees are mentioned in the available text. He is involved in multiple academic units and maintains an active presence through office hours and institutional contact. There is no indication of part-time status, retirement, or former staff designation.

• Cloud Computing
• Telemedicine
• Wearable Technology
• +۴ مورد دیگر

Massimo CANONICO is an Associate Professor at the Università del Piemonte Orientale Amedeo Avogadro , Department of Science and Technological Innovation. His research focuses on Cloud Computing , Telemedicine , Wearable Technology , and Urban Climate Analysis . He leads projects like KITE: Knowledge-Intensive and Technology-Enhanced Patient Emergency Management as a Co-Investigator, emphasizing interdisciplinary collaboration. His work contributes to UN Sustainable Development Goals, particularly in healthcare innovation and environmental sustainability. Key achievements include the HealthTracker System (cloud-based wearable healthcare monitoring) and Step-App® (telemonitoring for post-surgical patients). He actively publishes in peer-reviewed journals and conferences, with a focus on applications in medical education, urban heat islands, and cybersecurity. Email: massimo.canonico@uniupo.it

• Business models
• Digital transformation
• Strategy
• +۳ مورد دیگر

Dr. Danilo Pesce is a Fixed-term Assistant Professor at the Department of Management and Production Engineering (DIGEP), Politecnico di Torino. He serves as a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. Academic Focus: Business models, digital transformation, strategy Key Research Themes: Digital industrial platforms, phygital innovation, organizational adaptation to technology His recent publications analyze digitalization's impact on manufacturing, cultural heritage, and institutional contexts. He supervises PhD candidates Pietro Rombola' and Gabriele Aimonino. Significant Project: Enhancement of the Italian trade fair system through a nationally integrated digital platform (2023)

Liviana Sciutoمشاهده پروفایل

استادیار

• Water Resources Management
• Wastewater Treatment
• Soil Bioengineering
• +۷ مورد دیگر

Liviana Sciuto is a Fixed-term Assistant Professor (RTDA) of Agricultural Hydraulics and Watershed Protection at the Department of Agriculture, Food and Environment (Di3A) at the University of Catania, Italy. Her office is located in Building B, Room 22, First Floor - Via S. Sofia, 100 (Catania), and she can be reached at liviana.sciuto@unict.it. She conducts research in the Hydraulics and Territory Section with a focus on practical applications of Nature-Based Solutions for water management challenges in Mediterranean environments. Dr. Sciuto graduated in Territorial, Environmental and Landscape Protection in 2019 and earned her PhD in Agricultural, Food and Environmental Science from the University of Catania. Her academic credentials were further recognized on March 15, 2024, when the Department Council awarded her the title of expert in the scientific disciplinary sector AGRI-04/A 'Agricultural hydraulics and hydraulic-forestry systems'. Her research program centers on wastewater recovery and reuse, soil bioengineering techniques for hydraulic-forestry management, and surface runoff monitoring in urban areas. She specializes in evaluating Nature-Based Solutions for flood risk mitigation using hydrological and hydraulic models (HEC-HMS, HEC-RAS, EPA SWMM). Dr. Sciuto's work addresses critical challenges of water scarcity and flood risk in Mediterranean urban environments through innovative green infrastructure approaches. Analysis of her recent publications reveals a consistent research trajectory focused on optimizing Nature-Based Solutions under Mediterranean climate conditions. Her work spans hydrological modeling, treatment wetland performance, biomethane production from wetland biomass, and GIS-based spatial planning for flood risk management. A significant portion of her research examines how these solutions perform during seasonal water scarcity and intense rainfall events characteristic of Mediterranean regions. Title of expert for scientific disciplinary sector AGRI-04/A (awarded March 15, 2024) Dr. Sciuto has secured involvement in multiple significant research initiatives including GIFLUID (Italy-Malta Program), TRESOR (Italy-Tunisia Program), CARDIMED (HORIZON Europe), and PRIN project 'NBS4STORWATER'. These projects have facilitated international collaborations with the Energy and Water Agency (Malta), BOKU University of Vienna (Austria), and the Sicilian Regional Technical Department. Her research output includes over 25 scientific publications spanning journals, conference proceedings, and book chapters, with recent work focusing on practical implementation challenges of Nature-Based Solutions. Through her participation in European projects and departmental research groups, Dr. Sciuto contributes to interdisciplinary teams addressing climate adaptation and water management challenges. Her work connects hydrological science with practical urban planning applications, particularly through the CARDIMED project which focuses on climate resilience strategies for Mediterranean communities.

• Physical Exercise
• Sports Science
• Biomechanics
• +۳ مورد دیگر

Valerio Giustino is a Researcher at the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences at the University of Palermo. His academic activities include teaching Methods and Teaching of Motor and Psychomotor Activities for Primary and Preschool, as well as conducting research on sports biomechanics, physical training, and health promotion. Current office hours: Friday 10:00-13:00 at Via Giovanni Pascoli, 6 - Palermo Key teaching: Integrated Preventive Methods in Posturology, Postural Assessment in Sports Injury Prevention Giustino's research focuses on biomechanics and motor coordination , with emphasis on injury prevention in cyclists, AI-assisted exercise programs , and physical activity's cognitive benefits . His recent work explores telecoaching applications for migraine management and elderly fitness. Scientific publications (2023-2025) demonstrate expertise in: Sports injury risk factors (particularly ankle/knee stability) Machine learning applications for load monitoring Postural control mechanisms Effects of training interventions on sporting performance Impact of physical activity on neurological conditions Adaptation strategies in youth athletes

• Sepsis
• Acute respiratory failure
• Mechanical ventilation
• +۴ مورد دیگر

Rosanna Vaschetto is an Associate Professor at the University of Eastern Piedmont (UPO) in the Department of Translational Medicine, with primary research focus on mechanical ventilation and sepsis biomarkers . Her work spans both in vitro/in vivo pathophysiological studies and clinical trials. Specialty: Anesthesia, Intensive Care, and Pain Management Location: Bellini Palace, Corso Mazzini 18, Novara Contact: rosanna.vaschetto@med.uniupo.it | +39 0321 3733406 Research Interests: Investigations into ventilator-induced lung injury mechanisms, noninvasive ventilation optimization, and novel sepsis diagnostic pathways. Developing alveolar matrix monitoring techniques Improving weaning strategies from mechanical ventilation Exploring extracellular vesicle roles in inflammatory diseases Multi-center collaborations on ARDS and trauma management Key Contributions: Participated in international trials (WEAN SAFE), developed peri-partum respiratory protocols for neuromuscular disorders, and pioneered noninvasive ventilation interface rotation studies.

Matteo Ceccarelloمشاهده پروفایل

دانشیار

• Algorithms
• Data-Intensive Applications
• Timeseries Analysis
• +۲ مورد دیگر

Matteo Ceccarello is an Associate Professor of Computer Science at the Department of Information Engineering, University of Padova. His research focuses on algorithms for data-intensive applications, timeseries, and temporal databases. Previously, he held positions as Assistant Professor at the Free University of Bozen and as a Postdoc at the IT University of Copenhagen. Research interests include advancing algorithmic solutions for managing and analyzing large-scale temporal datasets. His work bridges theoretical foundations with practical applications in database systems and data engineering. No specific grants, awards, or lab affiliations are detailed in the provided information.

Francesco V. Pepeمشاهده پروفایل

دانشیار

• Quantum Imaging
• Quantum Information
• Quantum Optics
• +۷ مورد دیگر

Francesco V. Pepe is an Associate Professor in the Department of Physics at the University of Bari Aldo Moro, Italy, where he is affiliated with the Dipartimento Interateneo di Fisica. He leads the Quantum Optical Technologies Laboratory (QuOT Lab) and is the Principal Investigator of the INFN project PICS (Plenoptic Imaging with Correlations), focused on advancing correlation plenoptic microscopy. His research spans quantum imaging, quantum information, and quantum optics, with a strong emphasis on correlation-based imaging techniques and their applications in high-resolution 3D microscopy. PhD in Physics (specific institution and year not specified in text) His research interests lie at the intersection of quantum optics and imaging science, focusing on quantum imaging , correlation-based microscopy , plenoptic imaging , light-field technologies , and quantum information processing . He explores the use of intensity correlations in light to overcome classical limitations in resolution, depth of field, and imaging speed. His work also extends to quantum simulation of many-body systems (e.g., Schwinger model), bound states in the continuum , and light-matter interactions in waveguide QED platforms. The recent articles (2024–2025) reveal a strong trend toward quantum-inspired imaging techniques , particularly correlation plenoptic and hyperspectral imaging, with applications in turbulence-robust and real-time volumetric imaging. There is also a significant focus on quantum simulation of gauge theories using quantum computing platforms, dimensional reduction in field theories , and non-Markovian dynamics in quantum systems. The consistent use of correlation measurements, quantum error mitigation, and GPU-accelerated processing highlights a multidisciplinary approach combining theory, computation, and experimental design. Francesco V. Pepe has supervised Master’s students in Physics and is actively involved in collaborative research projects. While no formal scientific awards are listed in the provided text, his leadership in the INFN PICS project and extensive publication record underscore his prominence in the field. He has also contributed to advancements in quantum decay dynamics , spontaneous emission in dispersive media , and nonexponential decay phenomena , often in collaboration with leading researchers in quantum optics and condensed matter physics. He is associated with the QuOT Lab, which focuses on developing quantum optical technologies for imaging and sensing. The lab engages in both theoretical modeling and experimental implementation, particularly in correlation imaging, plenoptic microscopy, and quantum simulation. The team collaborates widely across Italy and internationally, contributing to projects in quantum 3D imaging, remote sensing, and Earth observation.

Angelika Peerمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Human-Robot Interaction
• +۱۵ مورد دیگر

Angelika Peer is a Full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy, a position she has held since November 2017. Previously, she served as a Full Professor at the Bristol Robotics Laboratory, University of the West of England, UK (2014–2017), and as a senior researcher and lecturer at the Technical University of Munich, Germany, where she was also a TUM-IAS Junior Fellow. Her academic base is firmly within engineering, particularly in intelligent and human-centered systems. Diploma in Electrical Engineering and Information Technology, Technical University of Munich, 2004 Doctor of Engineering, Technical University of Munich, 2008 Her research interests are centered on intelligent systems that bridge humans and machines. Key areas include robotics, control systems, human-robot interaction (HRI), emotion recognition through physiological signals, shared control, and intelligent manufacturing. She investigates how dynamic models and machine learning can improve safety, adaptability, and efficiency in human-machine collaboration. Her work spans both theoretical control design and practical applications in Industry 5.0, sustainable production, and assistive technologies. Her recent publications (2023–2025) reflect a strong trend toward data-driven and model-based intelligent systems. Topics include energy-based safety control in HRI, neural-network-based trajectory adaptation in powder compaction, emotion intensity estimation using NARX models and appraisal theory, and task prediction in digitalized shop floors using support vector regression. These works demonstrate expertise in integrating dynamic modeling, machine learning, and real-time control with applications in manufacturing and human-centered computing. Angelika Peer has advised PhD students including Ehtisham Ul Hasan and Isabel Francisca Sota Machado Barradas. She is involved in research initiatives such as the Human-centered Intelligent Systems (HCIS) macro area at her university, promoting interdisciplinary work at the intersection of computer science, engineering, and human factors. Her research is supported by collaborations and publications in high-impact journals and conferences, with a strong emphasis on open access and peer-reviewed dissemination.

• Composite Materials
• Crashworthiness
• Fatigue
• +۶ مورد دیگر

Davide Salvatore Paolino is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . He contributes to the Interdepartmental Center J-Tech@PoliTO. Research interests: Composite Materials, Crashworthiness, Fatigue, Lightweight Design, Reliability Analysis Key sectors: Aerospace Engineering, Materials Engineering, Mechanical Design His research focuses on fatigue analysis of advanced materials, with emphasis on statistical modeling , very high cycle fatigue , and impact resistance in composites. Recent work includes software development for automated data analysis and innovative solutions for lightweight structures. 2025: Crack initiation in WAAM nickel aluminum bronze 2025: Fatigue design curves review 2025: Scandium-free aluminum alloys for aerospace He has served on editorial boards of journals like Fatigue & Fracture of Engineering Materials & Structures and Applied Sciences , and as a committee member for international conferences including the 8th VHCF Conference.

Anna Monrealeمشاهده پروفایل

دانشیار

• Data Analytics
• Data Mining
• Artificial Intelligence
• +۵ مورد دیگر

Anna Monreale is an Associate Professor of Computer Science at the University of Pisa and serves as the Delegate for Masters and Continuing Education. She concurrently holds an Adjunct Professor position at Dalhousie University's Faculty of Computer Science. Her institutional leadership includes vice-coordinating the National Doctorate in Artificial Intelligence for Society and chairing the Internships Committee for the Master's in Data Science & Business Informatics. She earned her Bachelor's and Master's degrees with honors in Computer Science from the University of Pisa in 2007 and completed her PhD there in 2011. Prior to her faculty appointment, she conducted research on European projects from 2011-2014 and has been affiliated with the CNR's Institute of Information Science and Technologies since 2008. Professor Monreale's research centers on ethical AI development, with core expertise in data mining, explainable AI, and privacy-by-design methodologies. Her work bridges technical innovation with societal impact, particularly in healthcare applications, mobility data analysis, and social media systems. She emphasizes transparency and legal compliance in algorithmic decision-making. Her recent publications (2023-2025) reveal a concentrated focus on trustworthy AI frameworks, with significant contributions to federated learning privacy, trajectory data protection, and real-time explainability systems. She actively addresses emerging challenges in content moderation regulation and healthcare AI deployment. As an educator, she teaches Data Mining and Data Science Lab courses while directing major academic initiatives. She leads a PNRR-funded national project and a European research project, with over 90 publications and 3,200+ citations reflecting her scholarly impact. She is a key member of the University of Pisa's KDD Lab and maintains strong ties with CNR research units.

• Marketing Analytics
• Data Analysis
• Social Sciences
• +۱ مورد دیگر

Chiara Chiavenna serves as a Research Fellow in the Department of Social and Political Sciences at Bocconi University, actively contributing to academic instruction for the 2025/2026 academic year. Her teaching portfolio includes Strategic Marketing and Analytics (focusing on data-driven decision frameworks) and Foundations of Social Sciences (specializing in empirical research methodologies and analytical techniques). Her research profile centers on quantitative approaches at the intersection of marketing strategy and social science inquiry, with particular emphasis on data analytics applications. This manifests in her dual-course structure: one dedicated to translating marketing analytics into strategic business decisions, the other to rigorous empirical methods for social science research. The integration of computational analysis across both domains suggests a methodological specialization in data-intensive social research. No scientific awards or honors are documented in the available institutional records. While current teaching responsibilities are clearly defined, no information appears regarding graduate student supervision, research grant acquisition, or funded projects. Similarly, institutional documentation does not reference advising activities or mentorship roles beyond classroom instruction. There is no indication of affiliation with specialized research laboratories, interdisciplinary teams, or collaborative research centers within Bocconi University's organizational structure.

• Additive Manufacturing
• Composite Materials
• Fatigue Behavior
• +۵ مورد دیگر

Andrea Tridello is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin, Italy, and a member of the Interdepartmental Center J-Tech@PoliTO. His academic work focuses on mechanical design, fatigue analysis, and additive manufacturing technologies with significant contributions to Very High Cycle Fatigue (VHCF) research. Dr. Tridello's research spans multiple areas including Additive Manufacturing , Composite Materials , Fatigue Behavior , and Machine Learning applications for predicting material responses. His work addresses critical challenges in non-destructive testing methodologies for damaged composites, fatigue analysis of additively manufactured components, and the mechanical behavior of lattice structures. He has developed machine learning algorithms specifically for predicting mechanical behavior of structural materials. His recent publications demonstrate a strong focus on the intersection of additive manufacturing and fatigue analysis, with particular attention to defect characterization, statistical modeling of fatigue data, and development of predictive algorithms. His research also extends to composite materials, exploring impact damage assessment and non-destructive evaluation techniques across aerospace and automotive applications. Young Researcher Award from VHCF8 conference (2021) Steering Committee member of European Structural Integrity Society (ESIS) (2024-) Steering Committee member of Italian Fracture Group (2023-) Editorial Board member of FRACTURE AND STRUCTURAL INTEGRITY (2023-) Editor-in-Chief of MATERIAL DESIGN & PROCESSING COMMUNICATIONS (2023-) Dr. Tridello actively supervises PhD students Alessio Centola (39th cycle) and Rujun Li (38th cycle). He leads and participates in significant research projects including ML4FatigueDesign (statistical software for fatigue data analysis), FAAST (Fatigue on Additive Alloys Speedy Technique), and PLEIADES (advancing aerospace composites). His work has practical applications across aerospace, automotive, and industrial sectors. He is a key member of the Mechanics of Materials and Joints research group within DIMEAS, focusing on fatigue, impact, and testing methodologies for advanced materials and structures, contributing to both theoretical frameworks and practical engineering solutions.

• Soil Microbiology
• Agricultural Microbiology
• DNA Metabarcoding
• +۳ مورد دیگر

Andrea Squartini is an Associate Professor at the Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE) within the University of Padova . His research focuses on soil microbiology , microbial ecology , and DNA metabarcoding , with a particular emphasis on the interactions between microbial communities and agricultural systems. He works at Agripolis, based in Legnaro (Padova), Italy. His research explores soil organic carbon dynamics , nitrogen cycling , and microbial community responses to environmental factors such as grazing intensity, agricultural practices, and climate change. He utilizes advanced molecular methods like 16S rRNA profiling and metabarcoding to analyze microbial diversity in dairy processing environments, livestock systems, and soil remediation projects. The scientific trends in his publications include studies on microbiome responses to agricultural additives bioremediation of contaminated soils role of earthworms and organic matter in vineyard soils microbial gene activity in alpine and Antarctic ecosystems innovative tools like plasma-activated water for symbiotic optimization data science applications in livestock and soil research

• Clinical Psychology
• Personality Disorders
• Psychopathology
• +۶ مورد دیگر

Antonella Somma is an Associate Professor of Clinical Psychology (RTD-B) at the Faculty of Psychology, Vita-Salute San Raffaele University in Milan, Italy. She has held this position since June 1, 2022, following a previous role as Fixed-Term Researcher Type A (RTD-A) in Psychometrics from May 2019 to April 2022. She is actively engaged in research, teaching, and editorial work, with a focus on personality disorders, psychopathology, and clinical assessment. Dr. Somma earned her Degree in Psychological Sciences in 2008 and Master's Degree in Clinical Psychology in 2010, both with honors (110/110 cum laude) from Vita-Salute San Raffaele University. She completed additional specialized training including a Master's in Forensic Psychopathology and Clinical Criminology (2011), a PhD from LUMSA University (2016), and specialized training in Psychotherapy (2018). She is registered with the Order of Psychology of Lombardy (number 14729) and maintains active clinical practice. Her research focuses on clinical psychology, particularly personality disorders, narcissism, psychopathy, mentalization, and psychometric assessment tools. She investigates the relationships between personality traits, emotional processing, executive functioning, and clinical outcomes. Her work often employs sophisticated methodological approaches including network analysis, latent dimension analysis, and intensive longitudinal data modeling. She has made significant contributions to understanding the DSM-5 Alternative Model of Personality Disorders and the assessment of personality pathology across different age groups. Dr. Somma has published extensively in high-impact journals, with recent work examining malignant narcissism, psychopathic traits, emotion regulation, and the assessment of personality disorders. Her research demonstrates a consistent focus on bridging clinical theory with empirical validation of assessment tools, particularly in Italian populations. She has contributed to both clinical applications and theoretical advancements in personality assessment. Among her scientific recognitions are the Youth Research Award from the Italian Society of Psychotherapy (2017) and multiple Best Poster Awards at national psychology conferences (2014, 2015). She serves as Associate Editor for BMC Psychiatry (Personality Disorders section) and has reviewed for several prestigious journals including Psychological Assessment and European Psychiatry. Dr. Somma is actively involved in teaching at both undergraduate and graduate levels, offering courses in psychological research methodology, psychological assessment, and multivariate analysis. She provides specialized training in SCID-5-PD and DSM-5 personality disorders assessment. She is also a member of the Research Review Group at the Faculty of Psychology and has supervised numerous student projects. Her commitment to public engagement is evident through numerous media appearances and public lectures on psychological topics for non-academic audiences.