جستجوی استاد راهنمای دانشگاهی

Stefano Leonardi is a Full Professor in the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza Università di Roma. His research focuses on Algorithm Theory, Algorithms and Data Science, and Economics and Computation. He leads the ERC Advanced Grant project AMDROMA, exploring algorithmic mechanisms for online markets. He has held roles as Conference Chair for STOC 2021, WWW 2015, and FUN 2018, and coordinates the Sapienza School of Advanced Studies (2016-2018). His work spans approximation algorithms, online algorithms, and mechanism design. Awards include the ERC Advanced Grant and EATCS Fellowship. His research interests emphasize foundational algorithmic problems in web-based markets, leveraging rigorous design and large-scale data analysis. Recent projects include ALGADIMAR (PRIN 2019-2022) for digital market algorithms. He chairs the Highlights of Algorithms conference series and serves on program committees for top venues like EC, ICALP, and SODA. His lab focuses on web algorithmics and data mining, addressing challenges in online labor markets and fair division. Leonardi's academic contributions include over 100 publications, with recent work on fair algorithms, prophet inequalities, and mechanism design in auctions. He has pioneered methods for submodular optimization, online learning, and multi-agent systems. Grants and awards reflect his leadership in bridging theory with real-world applications, particularly in digital economies. Grants: ERC Advanced Grant (2018-2023), PRIN ALGADIMAR (2019-2022) Leadership: Chair of ACM STOC 2021, WWW 2015, and 9th FUN Conference Labs/Teams: Laboratory on Web Algorithmics and Data Mining Key Projects: AMDROMA (algorithmic mechanisms), ALGADIMAR (digital markets)

• Algorithm Theory
• Algorithms and Data Science
• Economics and Computation
• +۶ مورد دیگر

Michele Salvi is an Associate Professor in Mathematics at Università degli Studi di Tor Vergata in Rome. He previously held a Marie Skłodowska-Curie fellowship, conducting research in Berlin, Munich, and Paris. His work focuses on Probability Theory, with emphasis on random processes in random media, random graphs, and statistical mechanics, bridging applications in Physics, Computer Science, and Biology. Random processes in random media Random graphs Mathematics of Neural Networks Stochastic homogenization Mixing times for Markov chains Statistical mechanics Salvi’s recent publications highlight interdisciplinary trends, particularly in the spectral analysis of deep neural networks, scale-free percolation dynamics, and spanning tree geometry in random environments. His collaborations span Europe, with projects involving probabilistic models in epidemiology, reinforcement learning, and stochastic homogenization. He has received the Marie Skłodowska-Curie fellowship, reflecting his international research experience. His work is aligned with the Department of Mathematics at Tor Vergata, which holds the "Department of Excellence" MatMod@TOV 2023-2027 grant.

• Probability Theory
• Random Processes in Random Media
• Random Graphs
• +۴ 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.

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

Professor Caterina Ida Zeppieri is an Associate Professor at the Institute for Numerical and Applied Mathematics , University of Münster, Germany. Her research focuses on homogenization theory, calculus of variations, and applications in material science. She leads the Analysis and Modelling Research Group , which explores variational methods and their computational implications. Research Interests: Her work centers on stochastic and deterministic homogenization of free-discontinuity problems, Γ-convergence, and the analysis of heterogeneous materials. She investigates mathematical models for fracture mechanics, phase transitions, and plasticity, often employing advanced techniques from calculus of variations and partial differential equations. Recent Contributions: Recent articles address topics such as strong approximation of SBV functions (2025), stochastic homogenization in perforated domains (2024), and gradient damage models (2022). These studies emphasize rigorous mathematical analysis with applications to real-world material behavior. Grants & Collaborations: Zeppieri’s research is supported by grants from the German Research Foundation (DFG), including projects within the Cluster of Excellence 2044 (e.g., C1: Evolution and Asymptotics). She collaborates with institutions globally, advancing interdisciplinary approaches to material modeling. Teaching: She teaches advanced courses like Applied Functional Analysis and Calculus of Variations , and mentors students through seminars and thesis supervision. Her group hosts regular colloquia and workshops, fostering academic exchange in applied mathematics.

• Calculus of Variations
• Partial Differential Equations
• Material Science
• +۳ مورد دیگر

Alice Sciortino is a Researcher at the Department of Physics and Chemistry - Emilio Segrè within the School of Science at the University of Palermo. Her position code PHYS-03/A indicates a research-focused academic track in the Italian university system. She maintains regular office hours on Tuesdays from 11:30 to 12:30 through the university's student portal system. Her research centers on advanced photonic nanomaterials with particular expertise in carbon nanodots , quantum dot superstructures , and metal-organic frameworks . Key research themes include: Nanoscale light emission and lasing phenomena Design of optical sensors for environmental and biomedical applications Photocatalytic systems for environmental remediation Hybrid nanomaterial interfaces for energy transfer Ultrafast photophysical characterization of nanomaterials Analysis of her recent publications (2023-2025) reveals a strong trajectory toward multifunctional nanoplatforms combining optical, magnetic, and catalytic properties. Her work increasingly bridges fundamental photophysics with practical applications in environmental monitoring and biomedicine, particularly in heavy metal detection (Hg²⁺, Ni²⁺) and tissue engineering. The publication record shows consistent high-output research with frequent collaborations across Italian institutions. While no formal scientific awards are documented in the provided materials, her extensive publication record in high-impact journals demonstrates significant scholarly contributions to nanophotonics and materials science. Dr. Sciortino's research program appears to focus on experimental nanomaterials development with strong emphasis on optical characterization techniques. Her work on carbon dot-MOF hybrids and quantum dot superparticles suggests leadership in designing next-generation photonic nanomaterials with tunable properties. The consistent funding evident from her publication output likely supports laboratory infrastructure for nanomaterials synthesis and advanced optical spectroscopy.

• Nanomaterials
• Photophysics
• Sensor Development
• +۶ مورد دیگر

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +۳ مورد دیگر

Marijn Keijzer is a Research Fellow at the Institute for Advanced Study in Toulouse (IAST) and the Toulouse School of Economics (TSE) in France. His work bridges computational social science, network science, mathematical sociology, and political science, with a focus on understanding social dynamics in digital environments. Keijzer earned his PhD in Sociology (cum laude) from the University of Groningen, where he was affiliated with the Norms and Networks Cluster and the ICS. Prior to his current position, he served as a Postdoctoral researcher at the Karlsruhe Institute of Technology's Chair of Sociology and Computational Social Science. His research centers on the emergence of polarization in online social media, micro-macro transitions in opinion dynamics, and social trust. Specifically, he investigates how pro-environmental attitudes form and how to overcome barriers like false polarization, identity-based disagreement, and belief consolidation that hinder collective climate action. Keijzer employs agent-based modeling, survey methods, and experiments to study these phenomena, combining computational approaches with traditional sociological methods. Keijzer's publication record reveals a sustained focus on polarization mechanisms, with recent work examining YouTube's recommendation algorithms, noise in opinion dynamics, and the relationship between filter bubbles and polarization. His research consistently bridges theoretical modeling with empirical validation, contributing significantly to our understanding of how digital environments shape social dynamics and collective decision-making. At the Toulouse School of Economics, Keijzer teaches tutorials on Graph Analysis in the masters Econometrics and Statistics program and Data Science for Social Sciences. He previously taught at the BIGSSS Summer School in Computational Social Science in 2022 and 2023, demonstrating his commitment to training the next generation of computational social scientists.

• Computational Social Science
• Mathematical Sociology
• Network Science
• +۷ مورد دیگر

Dr. Michael Shekelyan is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London (2023–present), part of the School of Electronic Engineering and Computer Science. He holds a PhD in Computer Science from the Free University of Bozen-Bolzano (2018) and a Diploma in Media Informatics from Ludwig Maximilian University of Munich (2014). Previously, he worked as a Research Associate at King's College London (2021–2023) and a Research Fellow at the University of Warwick (2018–2021). His academic journey includes roles as a Meta-Reviewer for NeurIPS and ICDT Proceedings Chair (2024), with extensive service as a reviewer for top conferences like ICML, NeurIPS, ICLR, and journals such as TKDE and IEEE T-IFS. Research Interests: Focuses on algorithms and data structures for managing large/sensitive datasets, including differential privacy, random sampling (e.g., Hidden Shuffle Method), and multidimensional data summarization (e.g., DigitHist). His work bridges theoretical guarantees with practical applications in data management and machine learning. Notable contributions include privacy-preserving top-k selection, efficient sampling over joins, and error-bounded data summaries. Publications: Over 15 peer-reviewed articles in top venues including SIGMOD, ICDE, EDBT, AISTATS, and PVLDB. Key works include 'Streaming Weighted Sampling over Join Queries' (EDBT'23), 'Sequential Random Sampling Revisited' (AISTATS'21), and 'Sparse Prefix Sums' (Information Systems'19, which won an ADBIS award). Grants/Awards: Received the ADBIS'17 Award for Sparse Prefix Sums. Active in organizing conferences and mentoring early-career researchers through reviewing roles. Current projects include a PhD studentship on privacy-preserving algorithms for medical data sharing. Labs/Teams: Leads the Privacy-Preserving Algorithms initiative at Queen Mary, collaborating with international research networks in database systems and data privacy.

• Data Management
• Database Systems
• Differential Privacy
• +۵ مورد دیگر

Stefania Consonni is a Professor at the University of Bergamo, affiliated with the Department of Foreign Languages, Literatures, and Cultures. She holds a PhD in Text Theory and Analysis and is recognized for her extensive research in narratology, semiotics, and intermedial studies. Her scholarly focus encompasses the theory and history of the novel, aesthetics, visual culture, and the morphology of genres across literary, artistic, and media texts. Education: PhD in Text Theory and Analysis Research Interests: Consonni's research delves into the intersections of narrative theory, semiotics, and visual culture. She explores how stories are constructed and understood across different media, including literature, film, and digital platforms. Her work on narratology examines the structural and temporal aspects of storytelling, while her studies in semiotics investigate the interplay between verbal and visual languages. Her publications reflect a deep engagement with modern and contemporary culture, analyzing texts from an intersemiotic and intermedial perspective. Notable works include Geometries of Time. The Eighteenth-Century English Novel (2012) and the forthcoming The Line and the Letter. A Structural Analysis of Beauty (2025). Teaching and Advising: Consonni teaches a range of courses, including "English Language II (English in Intercultural Contexts)" and "Theory and Technique of Narrative." She actively advises students on final projects and theses, emphasizing rigorous academic standards and the use of APA formatting. Her office hours are held weekly, and she encourages continuous engagement with students throughout their research process. Contact: Email: stefania.consonni@unibg.it

• Narratology
• Theory and history of the novel
• Semiotics of verbal and visual language
• +۶ مورد دیگر

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

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

Gaetano Assanto is a Full Professor in the Department of Engineering at the University of Rome "Roma Tre", where he has been a faculty member since 1992. He teaches Optoelectronics, Integrated Optics, and Nonlinear Optics, and has also delivered courses at Sapienza University of Rome and Tor Vergata University. He holds a PhD from the University of Arizona and has held research positions in Italy and the U.S. PhD, Electrical and Computer Engineering, University of Arizona (1986) MSc, Electrical Engineering (with honors), University of Palermo (1981) His research lies at the intersection of nonlinear photonics and soft matter, with a focus on spatial solitons in nematic liquid crystals—commonly known as nematicons. His work explores nonlocal nonlinearities, beam self-confinement, soliton interactions, and all-optical signal processing using liquid crystals. He has made significant contributions to quasi-phase-matching, harmonic generation, and photonic applications of reorientational nonlinearities. His experimental and theoretical studies have advanced the understanding of light propagation in nonlocal media, including vortex solitons, dark solitons, and beam steering mechanisms. The trend in his recent publications shows a strong emphasis on the interplay between thermal and reorientational effects in nematicons, direction-dependent and nonreciprocal soliton propagation, and structured beam interactions in soft and plasmonic media. His work increasingly bridges fundamental nonlinear wave physics with practical photonic devices such as optical isolators, switches, and random lasers. His scientific recognition includes: Fellow of The Optical Society (OSA) Fellow of IEEE Photonics Society IEEE Distinguished Lecturer (2009–2011) He has served on the editorial boards of journals including Optics Letters , IEEE Photonics Journal , Journal of the Optical Society of America B , and Nature Scientific Reports . He actively contributes to international conferences such as CLEO, SPIE, and ICTON as a committee member and invited speaker. He has supervised numerous researchers and students, contributing to the training of the next generation of photonics scientists. His laboratory work involves the development of photonic devices based on liquid crystals and hybrid materials, including light-guided random lasers, optically induced waveguides, and soliton-based optical routing systems. His earlier work also includes pioneering contributions to Germanium-on-Silicon photodetectors for near-infrared applications.

• Nonlinear Optics
• Photonics
• Spatial Optical Solitons
• +۱۲ مورد دیگر

Gioia Bottesi is an Associate Professor at the Department of General Psychology, University of Padova. Her research focuses on trans-diagnostic vulnerability factors underlying emotional disorders, particularly intolerance of uncertainty and emotional dysregulation, with cross-cultural analyses across clinical and non-clinical populations. She examines dimensional models of personality disorders including maladaptive traits (DSM-5 Section III) and psychopathy (Triarchic Model), and develops assessments/treatments for anxiety and obsessive-compulsive spectrum disorders. Her work emphasizes adolescent mental health, investigating sociocultural influences on body image, the role of digital media (e.g., Instagram) in appearance concerns, and psychopathy correlates in community samples. She explores interventions like mobile app-based therapies for OCD-related stigma and transdiagnostic group interventions targeting intolerance of uncertainty. Recent studies include longitudinal analyses of uncertainty processing in adolescents and cross-cultural comparisons of symptom comorbidity patterns. Key contributions involve advancing psychometric tools (e.g., Italian validation of assessment scales) and applying network analysis to understand psychological symptom interconnections. Her research bridges clinical and developmental psychology, addressing both individual-level mechanisms and broader societal impacts on mental health. No specific grants or student advisees are listed in available materials. Collaborative projects include multinational studies on physical activity behavior models and Italian consensus conferences on psychological therapies for anxiety/depression.

• Trans-diagnostic Vulnerability Factors
• Emotional Disorders
• Intolerance of Uncertainty
• +۸ مورد دیگر

Andrea Mentrelli is an Associate Professor of Mathematical Physics at the Department of Mathematics, University of Bologna, and Scientific Coordinator of the Alma Mater Research Center on Applied Mathematics (AM²). He holds a MS in Nuclear Engineering and a PhD in Mechanics of Materials from the University of Bologna. His research focuses on Extended Thermodynamics, High-Performance Computing (HPC), and computational modeling of plasma and fluid dynamics. Key roles include leadership in projects such as PRIN2022 (Mathematics of Nonlinear Wave Propagation) and Combustion-Wave Interactions. He is affiliated with INFN Bologna Section and AM². Notable contributions include shock wave analysis, hyperbolic models for incompressible fluids, and fractional calculus applications in viscoelasticity. His work combines theoretical rigor with numerical methods, addressing challenges in plasma physics, astrophysics, and materials science. **Education:** MS in Nuclear Engineering, PhD in Mechanics of Materials (University of Bologna). **Affiliations:** AM², INFN Section Bologna. **Research Projects:** Over 10+ grants including PRIN2022 and EU-funded initiatives. Extensive publications in journals like *Phys. Rev. D*, *Annals of Physics*, and *Journal of Computational Physics*.

• Extended Thermodynamics
• Mathematical Physics
• Hyperbolic Equations
• +۴ مورد دیگر

Marco Lenci is a Full Professor at the Department of Physics and Astronomy 'Augusto Righi' of the University of Bologna. His academic discipline is Mathematical Physics. Lenci's research focuses on dynamical systems, ergodic theory, and stochastic processes, with applications to physical systems, climate sciences, and biological systems. His work investigates infinite-measure dynamics, billiards (e.g., Lorentz gases), random walks in heterogeneous environments, and quantum large deviations. Key themes include anomalous diffusion, transport phenomena, and large deviations in quantum lattice systems. Recent studies explore limit theorems for human mobility models and applications of dynamics to epidemiology. His publications span topics like ergodic properties of quenched random systems, quantum computing, and post-quantum cryptography. No scientific awards are explicitly mentioned in the provided texts. Lenci's advising and grants activities are not detailed here, but his role as a professor suggests active mentorship. His interdisciplinary research bridges mathematics, physics, and applied sciences, contributing to both theoretical and applied domains.

• Dynamical Systems
• Ergodic Theory
• Stochastic Processes
• +۹ مورد دیگر

Annika Bach is an Assistant Professor at Eindhoven University of Technology . Her research focuses on mathematical analysis and materials science, with a strong emphasis on calculus of variations, stochastic homogenization, and discrete-to-continuum limits. She explores topics such as topological defects, phase-field models, and Γ-convergence in both theoretical and applied contexts. Her work bridges stochastic processes and solid mechanics, addressing challenges in heterogeneous materials, fracture mechanics, and surface physics. Recent studies include the antiferromagnetic XY model on triangular lattices and fluid-filled fracture propagation. She has collaborated with researchers like M. Cicalese, A. Braides, and C.I. Zeppieri, contributing to high-impact journals like Archive for Rational Mechanics and Analysis and Indiana University Mathematics Journal . Bach has organized workshops such as the 'Calculus of Variations: A New Generation' (2024) and 'Variational Models for Material Failure' (2023). Her research also involves numerical analysis techniques, including finite-difference discretizations and fluctuation estimates in stochastic homogenization.

• Calculus of Variations
• Materials Science
• Mathematical Analysis
• +۳ مورد دیگر