جست‌وجوی استاد و پژوهشگر

• Mathematical Analysis
• Partial Differential Equations
• Calculus of Variations
• +۳ مورد دیگر

Cristiana De Filippis serves as Associate Professor in the Department of Mathematical, Physical and Computer Sciences at the University of Parma. Her academic journey includes a Bachelor's degree from the University of Torino (2014), Master's from University of Milano-Bicocca (2016), and PhD from the University of Oxford (2020), followed by a tenure-track position at Parma since 2021 and habilitation to full professorship in 2023. Her research focuses on Mathematical Analysis , particularly Regularity Theory for elliptic and parabolic partial differential equations and the Calculus of Variations . She investigates fundamental properties of solutions to nonlinear PDEs, including sharp growth conditions, nonuniform ellipticity, and double-phase functionals. Her work bridges abstract mathematical theory with applications in physics and engineering through rigorous analysis of solution behavior. Analysis of her 15 most recent publications reveals a concentrated research program in nonuniformly elliptic systems (2022-2025), double-phase variational problems (2023-2024), and gradient regularity under irregular coefficients (2020-2024). Key contributions include establishing sharp growth rates in Schauder theory and developing novel techniques for nearly linear growth conditions. European Mathematical Society Prize 2024 Bartolozzi Prize 2023 (Italian Mathematical Union) Iapichino Prize 2020 (Accademia dei Lincei) Premio per la Cultura Mediterranea 2023 G-Research Prize 2019 Forbes 100 Most Successful Italian Women 2023 European Mathematical Society Young Academy (inaugural cohort) Professor De Filippis has delivered invited lectures at prestigious institutions including Erwin Schrödinger Institute (2025), Charles University Prague (2024), and Accademia Nazionale dei Lincei (2022). She teaches Mathematical Analysis courses for Computer Science, Geological Sciences, and Management Engineering programs at undergraduate level. Her research is supported through multiple international collaborations, particularly with Giuseppe Mingione at Parma and researchers at European institutions.

Julieta Pestarinoمشاهده پروفایل

پژوهشگر ارشد

• Latin American Photography
• Art History
• Visual Culture
• +۵ مورد دیگر

Julieta Pestarino, Ph.D. in History and Theory of Arts from the University of Buenos Aires, is an Associate Scholar at the 4A_Lab (Art Histories, Archaeologies, Anthropologies, Aesthetics), a research program within the Kunsthistorisches Institut in Florenz (Max Planck Society). Her interdisciplinary work bridges anthropology, art history, and curation, focusing on Latin American photography and its intersections with global art history. Her research explores the historical and aesthetic dimensions of photography, particularly through case studies like La Carpeta de los Diez (a 1950s European photographer collective in Buenos Aires) and Maravillas de nuestras plantas indígenas (a 1935 Argentine botanical photography project). She investigates decolonial frameworks, ecology, and the dual scientific/artistic functions of photographic media. Specialized in Latin American Photography Focus on transcultural art histories and photographic modernity Photography as a medium for scientific representation and artistic creation Pestarino has received major scholarships, including the CONICET fellowship (Argentina), Erasmus+ (Czech Republic), and Casa de Velázquez (Spain). She is an Associate Researcher at the Gino Germani Research Institute of the University of Buenos Aires and authored the book Modern Practices. Photography and Groupality in La Carpeta de los Diez (2023). Her work engages with contemporary debates on heritage, digital transformation, and museum futures.

• CAD tools
• Digital architectures
• Emerging technologies
• +۹ مورد دیگر

Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.

Laura Sanitàمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• Approximation Algorithms
• Network Design
• +۳ مورد دیگر

Laura Sanità is an Associate Professor in the Department of Computing Sciences at Bocconi University, Milano, Italy. She previously held academic positions at TU Eindhoven (Netherlands) and the University of Waterloo (Canada). Education: Bachelor's in Management Engineering (2003), Università di Roma Tor Vergata Master's in Management Engineering (2005), Università di Roma Tor Vergata PhD in Operations Research (2009), Università Sapienza di Roma Postdoctoral Fellow at EPFL (Switzerland, 2009-2011) Laura's research focuses on discrete mathematics, theoretical computer science, and operations research, with particular emphasis on algorithmic solutions for combinatorial optimization problems. Her work spans approximation algorithms, network design, polyhedral combinatorics, and algorithmic game theory, advancing methodologies for solving complex optimization challenges in theoretical and applied contexts. Her publications demonstrate expertise in network design problems, spanning from fundamental polyhedral characterizations to game-theoretic applications. Key contributions include iterative randomized rounding techniques for Steiner trees, circuit augmentation algorithms, and stabilization approaches for network games. Scientific Awards: NWO-VIDI Award (Netherlands) Discovery Accelerator Supplements Award (NSERC, Canada) Golden Jubilee Research Excellence Award (University of Waterloo) Early Researcher Award (Ontario) Best Paper Award at STOC 2010 Advising & Collaborations: Laura advises PhD students Dylan Hyatt-Denesik and Lucy Verbeck, and collaborates with postdoctoral researchers like Afrouz Jabal Ameli. She has served on program committees and as Associate Editor for top journals including Mathematical Programming, Mathematics of Operations Research, and Operations Research Letters.

Roberto Zaninoمشاهده پروفایل

استاد

• Computational fluid dynamics
• Nuclear fusion
• Concentrated solar power
• +۵ مورد دیگر

Roberto Zanino is a Full Professor of Nuclear Engineering at the Department of Energy (DENERG) of the Polytechnic of Turin, Italy. He serves as Advisor to the Rector for relations with European and international university networks and for the UniTe project, Undergraduate Research Opportunities Coordinator, and Project management functions of PoliToArgentina. He is also Scientific Advisor for the Partnership Agreement with NEWCLEO. Dr. Zanino earned his Laurea cum laude in Nuclear Engineering from Politecnico di Torino in 1984 and his Ph.D. in Energetics in 1989. His academic progression includes Assistant Professor (1990-91), Associate Professor (1992-2000), and Professor (2001-present). He previously served as Director of Alta Scuola Politecnica (2007-2010) and Head of the Graduate Program in Energetics (2011-present). His research spans computational fluid dynamics, concentrated solar power, controlled thermonuclear fusion, Generation IV nuclear fission reactors, and plasma physics. His work focuses on thermal-hydraulic analysis of liquid metal systems, superconducting magnet design for fusion applications, and concentrated solar power optimization. His recent publications demonstrate strong expertise in coupling computational tools for nuclear applications, particularly in CFD-system code integration for liquid metal systems and fusion magnet analysis. Dr. Zanino has received recognition as an IEEE Senior Member (2012) and has supervised numerous doctoral students working on topics including thermal-hydraulic analysis of heavy liquid metal systems, superconducting magnet simulation for fusion applications, and concentrated solar power modeling. He has extensive international experience, having worked at Max-Planck-Institut für Plasmaphysik, Massachusetts Institute of Technology, and University of Illinois at Chicago. He is actively involved in major fusion projects including ITER, DTT (Divertor Tokamak Test facility), and EUROfusion. His teaching portfolio includes Computational Heat and Mass Transfer, Nuclear Fusion Reactor Engineering, Solar Thermal Technologies, and Computational Thermal Fluid Dynamics at both master's and doctoral levels.

Simon Masnouمشاهده پروفایل

استاد

• Applied Mathematics
• Image Processing
• Shape Optimization
• +۵ مورد دیگر

Simon Masnou is a Full Professor at Université Claude Bernard Lyon 1, affiliated with the Institut Camille Jordan (CNRS UMR 5208). He holds leadership roles as Head of the 'Applied Mathematics, Statistics' Master's degree and Head of the 'M2 Maths in Action' program. Previously, he served as Director of the Camille Jordan Institute (2018-2022). His research focuses on applied mathematics, image processing, shape optimization, and geometric measure theory, with contributions to variational models, geometric flows, and applications in computer vision and materials science. Education: PhD in Mathematics (1998, Paris Dauphine) and HDR (2008, Paris 6). Research projects include ANR STOIQUES (2024-2028), PEPR PDE-AI (2023-2028), and collaborations with industry on topics like defect prediction in aluminum production and high-dimensional data analysis. Teaching includes courses on linear algebra, optimization, and machine learning at undergraduate and graduate levels. Key contributions span phase field models, varifold-based surface approximation, and image inpainting. He supervises PhD students in geometric variational problems and computational methods. His work bridges theoretical mathematics with industrial challenges, addressing issues in materials science, medical imaging, and cultural heritage preservation.

Fabio Furiniمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• Operations Research
• Integer Linear Programming
• +۳ مورد دیگر

Fabio Furini is an Associate Professor at the Department of Computer Science, Automatics, and Management (DIAG) at Sapienza University of Rome since September 2021. Prior to this position, he served as a CNR researcher at IASI-CNR in Rome (2020-2021), Maître de Conférences at Université Paris-Dauphine, France (2013-2019), postdoctoral researcher at Université Paris-13, France (2012-2013), and research fellow at the University of Bologna (2011-2012). His educational background includes a Ph.D. in Control Engineering and Operations Research from the University of Bologna in 2011. He further obtained the Habilitation à Diriger des Recherches (HDR) in France in 2017 and the National Scientific Qualification for Full Professor in Operations Research in Italy in 2019. Fabio Furini conducts theoretical and methodological research on Combinatorial Optimization and Operations Research. His primary focus is on developing exact algorithms based on decomposition and reformulation techniques for integer linear programming problems. His research spans various applications including network optimization, graph theory, and combinatorial problems such as the maximum clique problem, bin packing problem, and vertex separator problem. His work often bridges theoretical developments with practical applications in transportation, logistics, and network security. His recent publications demonstrate a strong focus on exact algorithms for combinatorial optimization problems, particularly in network interdiction, bin packing with temporal constraints, and graph-based problems. His work consistently combines integer programming techniques with combinatorial search methods to develop novel formulations and efficient solution approaches that advance the state-of-the-art in these domains. Among his notable scientific awards are the Prime d'encadrement doctoral et de recherche (PEDR), which he received annually from 2014 to 2020, recognizing him among the top 15% of researchers in the French university system. He also holds the prestigious Habilitation à Diriger des Recherches from France (2017) and the National Scientific Qualification for Full Professor in Operations Research from Italy (2019). Fabio Furini has been actively involved in supervising PhD students and has served as principal investigator for numerous national and international research projects. His extensive network includes over 60 co-authors across European and American universities. He is also a member of the editorial boards for three prestigious international journals: Omega, Annals of Operations Research, and Discrete Applied Mathematics. His research activities include collaborations with various institutions across Europe and the United States, including Imperial College London and the University of Colorado. These collaborations have resulted in a robust research program focused on advancing the theoretical foundations and practical applications of combinatorial optimization.

Elda Favariمشاهده پروفایل

دانشیار

• Pharmacology
• Toxicology
• Atherosclerosis
• +۳ مورد دیگر

Prof.ssa Elda Favari is a Full-Time Associate Professor of Pharmacology at the Department of Food and Drug, University of Parma, Italy . Her research focuses on atherosclerosis physiology , cholesterol metabolism , and cellular cholesterol efflux processes . She has collaborated with international institutions in the USA , Australia , and Switzerland . PhD in Pharmacology and Toxicology (University of Parma, 2005) Academic Editor for the journal Medicine Member of Italian Society of Pharmacology , European Lipoprotein Club , and International Atherosclerosis Society Her scientific contributions include over 50 peer-reviewed publications , an H-index of 23 , and 16 Q1-journal publications from the last 15 years. Key research areas cover reverse cholesterol transport , PCSK9 mechanisms , and HDL functionality in diseases like familial hypercholesterolemia , cancer , and autoimmune disorders . Recent Google Scholar publications (2023-2025) examine: HDL modulation through nutraceuticals and 3D-printed devices Immune checkpoint inhibitors in relation to lipid profiles PCSK9-lomitapide interactions in genetic lipid disorders Anti-ApoA-1 IgGs as atherogenic factors 2000: AstraZeneca Grant at SISA Congress 2011: National Research Grant for Lupus Study She has held institutional roles including Student Orientation Delegate and serves on scientific committees for international congresses. Teaching spans Toxicology , Anticancer Chemotherapy , and Pharmacovigilance across Pharmacy , Food Safety , and Drug Sciences programs.

Fabrizio Riguzziمشاهده پروفایل

استاد

• Logic Programming
• Statistical Relational Artificial Intelligence
• Probabilistic Logic Programming
• +۳ مورد دیگر

Fabrizio Riguzzi is a Full Professor at the Department of Mathematics and Computer Science of the University of Ferrara, Italy. His academic career spans over two decades at the same institution, having served as Associate Professor (2014-2020) and Assistant Professor/Ricercatore (1999-2014). He is an active researcher in the fields of Logic Programming and Statistical Relational Artificial Intelligence with numerous publications and leadership roles in international conferences. His educational background includes: PhD in Electronic and Computer Engineering from the University of Bologna (1999) Laurea in Computer Engineering from the University of Bologna (1995) Riguzzi's research focuses on probabilistic approaches to artificial intelligence, particularly probabilistic logic programming and statistical relational AI. His work bridges symbolic reasoning with probabilistic methods, developing frameworks for uncertain knowledge representation and reasoning. He has made significant contributions to probabilistic answer set programming, neuro-symbolic integration, and applications in areas like network intrusion detection and knowledge graph completion. His research demonstrates how logical formalisms can be enhanced with probabilistic reasoning to tackle real-world problems with uncertainty. An analysis of his recent publications reveals a strong trend toward integrating neural and symbolic approaches in AI, with significant work on probabilistic answer set programming frameworks. His research spans theoretical foundations of probabilistic logic programming, practical implementations, and applications in cybersecurity, knowledge graphs, and decision-making under uncertainty. The interdisciplinary nature of his work connects computer science theory with practical AI applications. His notable awards include: Alain Colmerauer 10-Year Test-of-Time Award at ICLP 2021 Best Paper Award for "BUNDLE: A Reasoner for Probabilistic Ontologies" at RR-2013 Highly Commended Paper Award for "Probabilistic declarative process mining" at KSEM 2010 Riguzzi has supervised several PhD students to completion, including Elena Bellodi, Riccardo Zese, and Giuseppe Cota, who have gone on to win prestigious awards for their theses. He has served in numerous editorial roles, including Associate Editor of the Journal of Artificial Intelligence Research and Editor in Chief of Intelligenza Artificiale. His leadership extends to organizing major conferences like ILP 2018 and serving on program committees for top AI venues including IJCAI, AAAI, and ECAI. He is a member of the ML@unife research group and has developed several online systems including cplint, TRILL, and an Online AUC calculator. His work has fostered collaborations across the AI research community, particularly in the areas of probabilistic logic programming and neuro-symbolic AI.

Maria Chiara Passolunghiمشاهده پروفایل

استاد

• Developmental Psychology
• Educational Psychology
• Mathematical Cognition
• +۵ مورد دیگر

Maria Chiara Passolunghi is a Full Professor in Developmental and Educational Psychology (MPSI/04) at the University of Trieste's Department of Life Sciences. She serves as a member of the Department's Board, Boards of Studies, and multiple Doctoral Studies Boards for the Neural and Cognitive Sciences program across various cycles (XXVIII-XXXIX). She leads the Evolutivamente LAB research group focused on typical and atypical development during the lifespan within the Psychology research area. Her primary research interests center on developmental mathematics and mathematics learning disabilities in children, with particular focus on working memory and mathematical cognition. Her work spans five main research lines: precursors of mathematical learning and their training, math-gender stereotypes, the Approximate Number System and its relationship with mathematics, math anxiety, and Executive Functions in both typical and atypical development. She investigates cognitive and emotional aspects involved in mathematical learning, with emphasis on early identification of risk factors and development of intervention programs. Analysis of her recent publications reveals consistent focus on mathematical cognition, with particular attention to the intersection of cognitive and emotional factors in mathematical learning. Her work demonstrates strong emphasis on practical applications, including development of training programs for math anxiety, executive function interventions, and assessment tools for early identification of mathematical learning disabilities. The research spans diverse populations including typically developing children, those with mathematical learning disabilities, and children in highly deprived contexts such as Yazidi genocide survivors. Professor Passolunghi has secured significant research funding from multiple sources including A.B.C. Associazione per i Bambini Chirurgicos del Burlo Onlus, Auxilia Onlus, AIPD Associazione Italiana Persone Down, and Fondazione Beneficientia Stiftung. She also collaborates with institutional partners including Trieste Town Hall, Region FVG, and I.R.C.C.S. Burlo Garofolo of Trieste on various projects related to cognitive development, math learning, and interventions for at-risk populations. She leads the Evolutivamente LAB research group which includes Researcher Sandra Pellizzoni and PhD students Chiara De Vita, Martina Fontana, and Marjia Zivkovic. The lab focuses on exploring domain-specific and domain-general abilities involved in learning, with particular emphasis on precursors of mathematical ability and disability, working memory and number sense training, and emotional-motivational factors influencing learning disabilities. Current projects include studies on math anxiety in early primary school and development of specific training programs.

• Artificial intelligence
• Biomedical signal processing
• Human movement analysis
• +۱۲ مورد دیگر

Marco Ghislieri is an Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He is a member of the Interdepartmental Center PolitoBIOMed Lab and teaches in the Biomedical Engineering program, including courses like Neuroengineering and Design of Programmable Biomedical Devices . His research spans Artificial Intelligence, Biomedical Signal Processing, Neuroscience, and Rehabilitation Engineering . PhD in Bioengineering and Medical-Surgical Sciences (2017-2021) at Politecnico di Torino Thesis: Muscle Synergy Assessment during Cyclic and Non-Cyclic Movements His research focuses on muscle synergy analysis in Parkinson’s Disease (PD) patients post- Deep Brain Stimulation (DBS) , AI-driven gait analysis for fall prevention, and wearable sensor applications for stress-cognitive decline monitoring. He leads the S-CoDe and OMNIA-PARK projects, and contributes to PRIN as a team member. Recent publications highlight advancements in machine learning for intraoperative DBS targeting , statistical gait analysis , and neurorehabilitation tools . He serves as Associate Editor for Scientific Reports and Applied Bionics and Biomechanics , and Guest Editor for Frontiers in Neural Circuits . Awards include the Carlo J. De Luca Award (2022) , GNB Doctoral Award (2022) , and the Best Poster Award at M. Grattarola Summer School (2022) . He supervises Fabrizio Sciscenti (PhD candidate) and collaborates on neuroengineering and biomedical device design courses. His work addresses Goal 3 (Good Health) and Goal 4 (Quality Education) of the UN SDGs.

• Cognitive Aging
• Working Memory
• Executive Functioning
• +۸ مورد دیگر

ERIKA BORELLA is a Full Professor at the University of Padua, specializing in cognitive aging, working memory, and interventions for dementia. Her research focuses on understanding cognitive changes across the lifespan, including the effects of music, sleep, personality, and environmental design on mental health and cognition. She leads studies on cognitive stimulation therapy, therapeutic gardens for dementia care, and the development of assessment tools like the Padua PM task. Her work emphasizes practical applications, such as memory training programs and strategies to enhance quality of life in older adults. Research Interests: Cognitive Aging and Lifespan Development Executive Functioning and Attention Emotion Regulation and Mental Health Neuropsychological Assessment and Intervention Therapeutic Environments for Dementia Cognitive Reserve and Lifelong Learning Key Contributions: Dr. Borella has pioneered studies on cognitive stimulation therapy efficacy, music-based interventions, and the role of soft skills in aging populations. Her work bridges theoretical research and practical solutions, such as designing dementia-friendly spaces and evaluating the impact of outdoor activities on cognitive function in older adults. Recent Trends in Publications: Her recent work explores how emotions influence sleep quality, the psychological impacts of the pandemic on older adults, and the development of questionnaires for injury prevention. She emphasizes interdisciplinary approaches, integrating neuroscience, psychology, and environmental design to address complex aging-related challenges. Labs and Teams: Dr. Borella collaborates on initiatives like Cognitive Stimulation Therapy and Therapeutic Garden Programs , promoting active aging through evidence-based interventions. These projects involve interdisciplinary teams focused on improving mental health, cognitive function, and quality of life for older adults.

• Supply Chain Management
• Logistics
• Sustainability in Global Supply Chains
• +۴ مورد دیگر

Lorenzo Bruno Prataviera is a Tenure Track Researcher (Ricercatore) in the Department of Management at the University of Verona since October 2024. Previously, he served as Senior Lecturer in Logistics and Supply Chain Management at Cranfield School of Management (until September 2024), where he also acted as Deputy Director of the Master's program in Logistics and Supply Chain Management. He holds a PhD in Management Engineering from Politecnico di Milano (2020) and was a Visiting PhD Scholar at Lund University’s Department of Logistics in Sweden. His research focuses on global supply chain design, sustainability, resilience, and the interplay between logistics and legal/tax frameworks. He has published in top-tier journals like Journal of Business Logistics (ABS 3), Supply Chain Management: An International Journal (ABS 3), and Business Strategy and the Environment (ABS 3). He leads the SHIELD project (2024–present), exploring digital advancements for sustainable and human-centric logistics. His work emphasizes circular economy principles, resilience strategies, and supply chain finance. He has also earned the Fellow of the Higher Education Academy (FHEA) qualification in 2023, reflecting his commitment to educational excellence. Teaching: He teaches modules on supply chain design, logistics strategy, and qualitative research methods at the University of Verona’s Master’s programs in Supply Chain Management and Marketing/Corporate Communication. Third Mission: Engaged in public engagement and professional training programs, including initiatives related to supply chain sustainability and resilience. Research Groups: Part of the Logistics and Supply Chain Management group, which investigates innovative strategies for sustainability, circular economy, and resilience through interdisciplinary approaches. His research bridges academic theory and industry practice, addressing challenges such as tax optimization in global networks, post-pandemic resilience, and green logistics adoption. He collaborates with international institutions and maintains a strong focus on real-world applications of supply chain solutions.

Luisa Manninaمشاهده پروفایل

استاد

• Food Chemistry
• NMR Spectroscopy
• Metabolomics
• +۵ مورد دیگر

Luisa Mannina is a Full Professor of Food Chemistry at Sapienza University of Rome, Department of Chemistry and Technology of Drugs, Faculty of Pharmacy and Medicine. She leads the Food Chemistry Laboratory (FOODCHEMLAB) and serves as Director of the Metabolomics Unit focusing on Foods, Nutraceuticals and Biological Fluids Research. Her academic career spans over 25 years with progressive appointments from Assistant Professor to her current Full Professor position since January 2019. Full Professor of Food Chemistry (2019-present) Associate Professor of Food Chemistry (2009-2019) Director of multiple Master's programs in Nutraceuticals and Cosmeceutics Coordinator of PhD program in Molecular design and characterization for health promotion Member of numerous institutional committees at Sapienza University Professor Mannina's research centers on Nuclear Magnetic Resonance (NMR) methodologies for food analysis and metabolomics. She has developed innovative analytical protocols for determining metabolic profiles of food matrices and biological fluids, enabling authentication of geographical origin, variety, and cultivation methods for diverse food products. Her work spans olive oils, fruits, industrial hemp, and various agricultural products, with particular emphasis on NMR-based metabolomics for food authentication and quality assessment. She has established herself as a leading expert in industrial hemp analysis, publishing extensively on cannabis inflorescences, seed oils, and related products. Analysis of her recent publications reveals a strong focus on sustainable food systems, with particular attention to agri-food waste valorization, novel food development from unconventional sources like medicinal mushrooms, and advanced analytical techniques for food authentication. Her work increasingly integrates NMR with other analytical methods to address complex food science challenges, including food fraud detection, nutritional enhancement through processing techniques, and chemopreventive properties of plant-based products. The research demonstrates consistent evolution from fundamental food characterization toward applied solutions addressing contemporary food system challenges. Her scientific recognition includes: GIDRM/GIRM 2018 Gold Medal ANVUR Research Funding (2017) Associate Editor of Journal of Integrated Omics Member of Scientific Committee of La Rivista Italiana delle Sostanze Grasse Professor Mannina has successfully supervised numerous PhD students and directed multiple Master's programs. Her research is supported by substantial funding from regional, national, and European sources, including projects on industrial hemp valorization (€150,000), innovative bio-packaging (€50,000), and metabolomic studies of Mediterranean diet adherence (€14,500). She maintains active collaborations with European research institutions and industry partners through various research contracts. Her Food Chemistry Laboratory (FOODCHEMLAB) is equipped with state-of-the-art analytical instrumentation including NMR, HPLC-PDA, GC-MS, and other advanced equipment for comprehensive food analysis. The laboratory serves as a hub for metabolomic research, food authentication studies, and valorization of agricultural by-products, contributing significantly to Sapienza University's research profile in food science and technology.

Elvira Nadia La Roccaمشاهده پروفایل

دانشیار

• Criminal Law
• Criminal Procedure
• Anti-Mafia Legislation
• +۳ مورد دیگر

Elvira Nadia La Rocca serves as Associate Professor at Sapienza University of Rome in the Department of Legal and Economic Studies. She teaches Criminal Procedure (4th year, 1st semester), Criminal Enforcement Law (2nd year, 1st semester), and Anti-Mafia Legislation (2nd year, 2nd semester) within the Law program (Course code 33465). Her office hours are held on Wednesdays from 15:00-18:00 and Mondays from 10:00-13:00, with remote consultation available via her institutional email. Professor La Rocca's research focuses on criminal law and procedure, with particular expertise in confiscation law, penitentiary systems, and judicial administration. Her work examines the intersection of procedural efficiency and fundamental rights, analyzing contemporary reforms like the Cartabia Reform of Italy's criminal justice system. She investigates how legal frameworks balance crime prevention with constitutional protections, especially regarding asset confiscation, prison conditions, and procedural guarantees for defendants. Her recent publications demonstrate consistent scholarly output examining evolving criminal justice mechanisms. The articles reveal a methodological trend analyzing European and international legal developments through Italian jurisprudence, with particular attention to Constitutional Court rulings. Her work bridges theoretical legal concepts with practical judicial applications, often addressing tensions between procedural streamlining and fundamental rights protection in criminal proceedings. Professor La Rocca leads research on critical contemporary issues including 'The administration of justice during the health emergency: from inexorable quiescence to the creation of a functional and virtuous paradigm' and 'The predictability of judicial decisions in the era of emergency criminal justice: perspectives and assessments after thirty years of validity of the Code of Criminal Procedure.' These projects address systemic challenges in maintaining judicial functionality during crises while preserving legal certainty and procedural fairness.