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• Applied Mathematics
• Probability Theory
• Operational Research
• +5 more

Sergio Ortobelli Lozza is a full professor in Applied Mathematics at the Department of Management , University of Bergamo (Italy), where he coordinates the Master in Economics and Finance and PhD program in Management Accounting and Finance . With a Ph.D. in Computational Methods for Financial and Economic Forecasting and a Master's in Mathematics, his research focuses on applying probability theory and operational research to economics and finance. His scholarly work includes over 180 refereed publications in prestigious journals such as: European Journal of Operational Research Journal of Banking and Finance Insurance: Mathematics and Economics Mathematical Problems in Engineering His research emphasizes: Portfolio optimization with applications to crisis scenarios Stochastic dominance for sector-based investments De Novo programming in renewable energy location systems Network reputation analysis in financial contexts Scientific achievements include: Best paper award at EBES Athens (2010) Principal Investigator for GACR research projects Editorial board member of Mathematical Problems in Engineering Contributor to PRIN research teams He actively participates in academic conferences and has served on organization committees for events like Managing and Modelling of Financial Risks (2013-2019) and ICSP XIII (2013). Current contact: sergio.ortobelli@unibg.it | ORCID: 0000-0003-4983-8165

• Partial Differential Equations
• Liouville type equations
• Blow-up analysis
• +8 more

Daniele Bartolucci is a Full Professor in Mathematical Analysis at the Department of Mathematics, University of Rome Tor Vergata. He is actively engaged in research and teaching, with a focus on Partial Differential Equations and related mathematical fields. His academic activities span multiple institutions through the joint PhD program with Sapienza University of Rome and Roma Tre University. Professor Bartolucci's primary research interests include: Partial Differential Equations, particularly Liouville type equations Blow-up analysis and pointwise estimates for equations with singular data Self-dual vortices in Gauge theories Prescribing Gaussian curvature problem on surfaces with conical singularities Mean-field type equations and their connection to statistical mechanics Harnack-type inequalities for blow-up solutions His recent publications (2017-2019) demonstrate an active research program with numerous collaborations, particularly with A. Jevnikar, C.S. Lin, Y. Lee, W. Yang, and G. Tarantello. These works focus on advanced topics in nonlinear PDEs, including mean field equations, blow-up analysis, and geometric aspects of differential equations. The research has significant applications in mathematical physics, particularly in understanding phenomena related to cosmic strings and two-dimensional turbulence. Professor Bartolucci has received research support through the MIUR Excellence Department Project MATH@TOV and the 'Beyond Borders' project sponsored by the University of Rome Tor Vergata, which fund his collaborative research activities and specialized course offerings. As an educator, Professor Bartolucci follows a rigorous approach emphasizing understanding concepts from their causes rather than accepting them on faith. His teaching portfolio is extensive: Undergraduate courses in Mathematical Analysis for Engineering and Mathematics students since 2008 PhD courses on 'Introduction to PDE' for the joint PhD program of Rome's universities Specialized courses on 'Liouville Equations with Applications' Regular office hours in room 1107 at the Department of Mathematics His office is located in room 1107 at the Department of Mathematics, University of Rome Tor Vergata, where he maintains regular office hours for students.

• Optimal Transport
• Calculus of Variations
• Mathematical Analysis
• +4 more

Hugo Lavenant is an Assistant Professor in the Department of Decision Sciences at Bocconi University in Milan, Italy. His academic journey includes a PhD in mathematics from Université Paris-Sud under Filippo Santambrogio (2016-2019) and a postdoctoral fellowship at the University of British Columbia (2019-2020) working with Young-Heon Kim, Brendan Pass, Geoffrey Schiebinger, and Dave Schneider. Professor Lavenant's research spans theoretical and applied aspects of mathematical analysis, with a focus on optimal transport theory , calculus of variations , and Bayesian statistics . His work explores the geometry of the Wasserstein space, numerical solutions to dynamical optimal transport problems, and applications to biological data analysis. He has made significant contributions to understanding harmonic mappings in the Wasserstein space, connections between optimal transport and nonlinear elasticity, and the application of optimal transport to trajectory inference in biological systems. Analysis of Professor Lavenant's recent publications reveals a strong trend toward interdisciplinary applications of optimal transport, particularly in statistics and biology. His work bridges pure mathematical theory with practical computational methods, with increasing focus on developing tractable statistical tools based on optimal transport distances. The research spans theoretical mathematics, computational methods, and applications to real-world data analysis problems. Professor Lavenant actively supervises graduate students, currently advising PhD candidates George Kanchaveli and Francesco Mascari (both co-advised with Marta Catalano), as well as Master's students Mathis Hardion and Niccolò Bargellini. His teaching portfolio includes Mathematical Analysis 2, Real Analysis I, and Advanced Analysis and Optimization 1 at Bocconi University. His scholarly contributions demonstrate a consistent focus on advancing both the theoretical foundations and practical applications of optimal transport, with growing emphasis on statistical methodology and biological applications in recent years.

• Analytical Chemistry
• Chemometrics
• Food Chemistry
• +3 more

Alessandro Ulrici is a Full Professor of Analytical Chemistry (SSD CHIM/01) in the Department of Life Sciences at the University of Modena and Reggio Emilia (UNIMORE), a position he has held since December 2023. He also serves as Vice-Director of the Department of Life Sciences. Previously, he was an Associate Professor at UNIMORE from November 2010 to December 2023 and a University Researcher from August 2001 to October 2010. Professor Ulrici's research focuses on three main areas: Development and application of rapid, non-destructive analytical techniques based on chemometric approaches for food control and characterization Development of new algorithms for signal and image analysis, for the selection of significant variables and for the study of complex systems Product and process optimization through multivariate experimental design techniques His recent publications (2023-2025) demonstrate a strong focus on applying advanced analytical techniques to food science problems, particularly in viticulture and oenology, food authentication, and quality control. His work frequently employs NIR hyperspectral imaging, electrochemical sensors, and smartphone-based analytical devices, combined with sophisticated chemometric analysis. Professor Ulrici has received numerous scientific awards including: Highly cited research paper 2016 from Chemometrics and Intelligent Laboratory Systems Multiple Best Poster and Best Oral Presentation Awards from NIRITALIA, IASIM, and the Scandinavian Symposium on Chemometrics As an educator, Professor Ulrici teaches courses in Analytical Chemistry and Chemometrics for undergraduate and graduate students in biotechnology, food safety, and agricultural sciences. He previously served as Coordinator of the PhD Course in Agri-Food Sciences, Technologies and Biotechnologies at UNIMORE from 2017 to 2023. Professor Ulrici directs research activities through the Chemistry and Spectroscopy Laboratory (ChimSLab) at UNIMORE, which maintains an online presence at http://www.chimslab.unimore.it/ .

Pasquale PalumboView profile

Associate Professor

• Control Systems Theory
• Systems Biology
• Biomedical Engineering
• +6 more

Pasquale Palumbo is an Associate Professor in the Department of Biotechnology and Biosciences at the University of Milano-Bicocca and a Research Associate at Italy's National Research Council (IASI-CNR). He holds an honorary professorship at Obuda University (Hungary) and previously served as a Contract Professor at the University of L’Aquila for 19 years. He received his Laurea (1995) and Ph.D. (2000) in Electronic Engineering from the University of L’Aquila. His research integrates mathematical control theory with biological applications, focusing on: Stochastic systems and nonlinear filtering for biomedical engineering Artificial pancreas development for diabetes management Tumor growth control via antiangiogenic therapy Metabolic and cell cycle modeling in systems biology He leads the Palumbo Lab and received editorial awards from Kybernetyka (2013) and IET Systems Biology (2018). He serves on editorial boards of PLoS ONE, Frontiers, and Mathematical Problems in Engineering. He has supervised 80+ theses and coordinates international collaborations across Europe and the US. His active 2023 project develops clinical validation methods for an artificial pancreas targeting type 2 diabetes.

• Clinical Trials Methodology
• Bayesian Statistics
• Rare Diseases Research
• +3 more

Dr. Giulia Risca is a researcher in the Department of Medicine and Surgery at the University of Milano-Bicocca, School of Medicine and Surgery. She recently completed her doctoral thesis on Bayesian methods for basket trials in rare diseases under the supervision of Professor Stefania Galimberti. Her research spans multiple domains including clinical trial methodology, hematology/oncology, and proteomics. Dr. Risca's research interests focus on developing innovative clinical trial designs for rare diseases, with particular expertise in Bayesian statistics and basket trial methodology. Her work addresses critical challenges in rare disease research where limited patient populations make traditional trial designs impractical. She has made significant contributions to understanding how information can be borrowed across sub-trials while maintaining appropriate statistical properties. Additionally, she conducts important translational research in CAR-T cell therapy for leukemia and develops diagnostic algorithms for iron metabolism disorders. Analysis of Dr. Risca's publication record reveals a strong focus on methodological innovation in clinical trials combined with impactful clinical applications. Her work demonstrates expertise in bridging statistical theory with practical clinical research needs, particularly in areas with limited patient populations. The publications span multiple disciplines but maintain a cohesive thread of methodological rigor applied to challenging clinical problems. Dr. Risca actively collaborates with clinical researchers across multiple medical specialties, contributing her statistical expertise to studies in hematology, oncology, nephrology, and ophthalmology. Her work on CARCIK-CD19 cell therapy, rare disease trial design, and diagnostic algorithms for iron overload represents significant contributions to their respective fields. She participates in multicenter studies across European institutions, demonstrating her integration into the broader research community. Dr. Risca leads research activities in biostatistics and clinical trial methodology, supervising analytical components of multiple clinical studies. Her work often involves developing and implementing sophisticated statistical approaches to address complex research questions where traditional methods are inadequate, particularly in the context of rare diseases with small sample sizes.

• Orbital Mechanics
• Third-Body Perturbations
• Interplanetary and Lunar Trajectories
• +3 more

Christian Circi is an Associate Professor of Flight Mechanics at the Department of Astronautical, Electrical, and Energy Engineering, Sapienza University of Rome. He has held this position while actively contributing to space research and education in Italy's premier academic institution. Dr. Circi earned his Bachelor of Science and Master of Science in Aeronautical Engineering, followed by a Master of Science in Aerospace Engineering, and ultimately his PhD in Aerospace Engineering, all from Sapienza University of Rome. His educational background provided the foundation for his specialization in space mission design and orbital mechanics. His primary research focuses on orbital mechanics , with particular expertise in third-body perturbations , interplanetary and lunar trajectories , solar sails , orbits for planetary observation , and launch vehicle ascent trajectories . Dr. Circi's work bridges theoretical celestial mechanics with practical space mission applications, making significant contributions to the understanding of complex orbital dynamics in multi-body systems. Analysis of Dr. Circi's recent publications reveals a strong emphasis on solar sail technology, particularly the Helianthus mission, as well as innovative approaches to orbit design for lunar and planetary exploration. His work increasingly incorporates quantum-inspired optimization techniques and machine learning applications to traditional astrodynamics problems, demonstrating adaptability to emerging computational methodologies. Dr. Circi serves as the scientific director of the Italian Space Agency's "Research and Development on Photonic Solar Propulsion" project, demonstrating leadership in cutting-edge propulsion research. He has also been actively involved in consulting for both public and private space sector organizations. At Sapienza University of Rome, Dr. Circi teaches "Interplanetary Trajectories" and "Launcher Flight Mechanics" in the Master's Degree program in Space and Astronautical Engineering, as well as the second-level Master's program in "Space Transportation Systems." His teaching directly reflects his research expertise, providing students with practical knowledge of space mission design. Dr. Circi has authored 153 scientific articles throughout his career and serves as Associate Editor for several prestigious journals including "Aerospace Science and Technology," "International Journal of Aerospace Engineering," "Astrodynamics," and "Space: Science & Technology," indicating his standing within the international space research community.

Tiziana CianoView profile

Assistant Professor

• Artificial Intelligence
• Applied Mathematics
• Machine Learning
• +7 more

Tiziana Ciano (born April 21, 1991) serves as a tenured Researcher and Assistant Professor at the Department of Economic and Political Sciences, University of Aosta Valley. She holds a PhD in Law and Economics & Doctoral Europaeus from Mediterranean University of Reggio Calabria & University of Portsmouth, and a Master's Degree in Economics obtained with highest honors. Her academic appointments include Contract Professor at DICEAM Department, Mediterranean University of Reggio Calabria, and membership in Decisions_Lab scientific laboratory. Dr. Ciano's research spans mathematical economics with strong AI applications: Artificial Intelligence and Applied Mathematics Machine Learning and Deep Learning for socio-economic systems Stochastic Programming and Multi-objective Optimization Dynamic Systems and Epidemic Modeling Decision Support Systems for tourism and finance Her recent publications reveal a consistent focus on applying advanced mathematical methods to portfolio optimization, pandemic dynamics, climate change sustainability, and tourist flow forecasting. She has developed tri-objective optimization models for financial decision-making and fuzzy fractional-order models for pandemic dynamics, demonstrating methodological innovation across multiple domains. Dr. Ciano has received multiple prestigious recognitions including the Best Poster Award at DySES2022 conference for her work on fake news sentiment analysis during pandemics, a Research Award for her paper on duopoly game analysis published in Symmetry, and the Anassilaos Giovani Ricerca Award under the patronage of the President of the Republic of Italy. She serves on editorial boards of high-impact journals including Mathematics (MDPI) Financial Mathematics section (Q1, IF 2.592), Applied Mathematical Sciences, and International Journal of Contemporary Mathematical Sciences. As Guest Editor, she has curated special issues on mathematical economics, differential games, and symmetry in machine learning algorithms. She regularly referees for Mathematical Problems in Engineering, Information Processing & Management, and Scientific Reports (NATURE). Dr. Ciano actively participates in Decisions_Lab research laboratory and leads multiple collaborative projects including MONTUR (Real-time Monitoring of Tourist Flows in Aosta Valley), MEC – Marketplace Ecosostenibile Calabria, and IUSTIT-IA. She has organized numerous international conferences including AMASES 2023, NUMTA2023, and special sessions on predictive analytics and machine learning applications in socio-economic systems.

• Computer Networks
• Graph Drawing
• Information Visualization
• +8 more

Maurizio Patrignani is a Full Professor of Computer Science at the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University, where he has served since May 2017. Since November 2022, he has also held the position of Chair of the Computer Science and Engineering Faculty Board. His academic journey began with a "Laurea" degree in Electronic Engineering from the University of Rome "La Sapienza" in 1996, followed by a Ph.D. in Computer Science from the same institution in 2001. Patrignani's research spans multiple areas within computer science, with a strong focus on graph-related disciplines. His primary research interests include Computer Networks, Graph Drawing, Information Visualization, and Computational Geometry. He has developed expertise in Dynamic Graph Drawing, Orthogonal Drawings, Planarity and Planar Graphs, Upward Planarity, and Data Center Networking. His work often bridges theoretical computer science with practical applications, particularly in network visualization and analysis. The analysis of Patrignani's recent publications reveals a consistent focus on graph theory and its applications. His work demonstrates expertise in planar graph embeddings, orthogonal drawings, and upward planarity. Recent publications show increasing attention to practical applications of graph theory in network visualization, data center networking, and route planning. His research combines theoretical algorithm design with experimental validation and user studies, reflecting a comprehensive approach to solving complex problems in graph drawing and network analysis. Patrignani has been actively involved in numerous research projects throughout his career, including EU-funded initiatives like DELIS (Dynamically Evolving, Large Scale Information Systems) and GraDR (Graph Drawings and Representations), as well as national projects funded by MIUR. His collaborative work spans multiple institutions and researchers across Europe and beyond, demonstrating his significant role in the international computer science community. He has served on numerous program committees for major conferences in graph drawing and visualization, including the International Symposium on Graph Drawing (GD) where he was co-chair for GD 2008 and GD 2012. His organizational contributions extend to the Summer Workshop on Graph Drawing (SWGD) where he has been a member of the organizing committee since 2021. Patrignani's teaching portfolio at Roma Tre University includes courses on Algorithms and Data Structures, Computer Networks, Information Visualization, and Big Data Algorithms.