جستجوی استاد راهنمای دانشگاهی

• Mechanical and Thermal Measurements
• Additive Manufacturing
• Thermography
• +۷ مورد دیگر

Laura Fabbiano is an Associate Professor in the Department of Mechanics, Mathematics & Management at Politecnico di Bari, Italy. Her research focuses on mechanical and thermal measurements, additive manufacturing, thermographic inspection, and hydrogen separation technologies. Department: Mechanics, Mathematics & Management Email: laura.fabbiano@poliba.it Her work spans interdisciplinary domains including: Mechanical Engineering: additive manufacturing, fluid dynamics, and vibration analysis Thermography: non-destructive testing, melanoma detection, and conservation of historical artifacts Hydrogen Production: membrane reactors, biomass-derived syngas, and clean energy systems Smart Technologies: Industry 4.0 applications, energy-efficient grids, and IoT-based diagnostics Recent publications emphasize process optimization in 3D printing, metrological improvements in thermographic imaging, and sustainable energy solutions using Pd-based membranes. Her research integrates experimental, statistical, and numerical methodologies to address industrial and environmental challenges.

• Active distribution networks
• Integration of distributed energy resources
• Microgrids
• +۳ مورد دیگر

Dr. Angela Russo serves as an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, Italy, where she teaches "Fundamentals of Electrical Installations" for Electrical Engineering and "Industrial Electrical Systems" for Management Engineering across multiple academic cycles (2019/20–2025/26). Her research centers on modern power system challenges including active distribution networks and energy community integration. Her work demonstrates strong alignment with Sustainable Development Goal 7 (Affordable and clean energy), focusing on practical implementations of distributed energy resources and microgrid technologies. Recent publications reveal a consistent trajectory toward optimizing energy dispatch, storage systems, and market configurations within evolving grid infrastructures, with increasing emphasis on European energy transition frameworks. Prof. Russo actively contributes to academic governance as Publications Chair for major conferences including UPEC 2020 and IEEE PES ISGT Europe 2017, while serving on the editorial board of ENERGIES since 2017. She currently supervises PhD candidate Gulshan Mustafayeva and leads two significant research initiatives: EU-DREAM (2024–2027), an EU-funded project empowering energy consumers, and SUERTE TO GREEN (2023–2025), a PNRR Mission 4 project developing sustainable energy solutions for road tunnels operating as microgrids. As a core member of the GUSEE research group within DENERG, she bridges theoretical advancements with real-world energy system applications, particularly in distribution network modernization and renewable integration scenarios requiring advanced optimization techniques under uncertainty.

Matteo Giulianiمشاهده پروفایل

دانشیار

• Water Resources Management
• Multi-Objective Optimization
• Reinforcement Learning
• +۷ مورد دیگر

Matteo Giuliani is an Associate Professor at Politecnico di Milano, leading research in the Environmental Intelligence for Global Change Lab. His work focuses on integrating artificial intelligence with water resource management under global change scenarios. PhD in Information Technology (2014, Politecnico di Milano) Alta Scuola Politecnica Diploma (2011) MSc in Environmental and Land Planning Engineering (2010, Politecnico di Milano & Torino) His research bridges machine learning and water systems engineering through applications in: Climate change adaptation design Multi-agent negotiation for resource allocation Extreme event detection and attribution Decision-making under deep uncertainty Recent publications show expertise in reinforcement learning for reservoir operations, autoencoder applications to heat wave analysis, and AI-driven climate data downscaling . He serves as Section Editor for the Journal of Water Resources Planning and Management and Associate Editor for Frontiers in Water .

• Aerospace Engineering
• Flight Mechanics and Control
• Airworthiness and Certification
• +۶ مورد دیگر

Manuela Battipede is Associate Professor of Flight Mechanics & Control at the Politecnico di Torino , Department of Mechanical and Aerospace Engineering (DIMEAS). Since 2002 she has led research and teaching in aerospace guidance, airworthiness, neural-network-based virtual sensors, and trajectory optimisation, coordinating EU H2020 and Clean Sky projects, industrial airworthiness certification contracts, and supervising PhD students in aerospace engineering. Education & Academic Career Joined Politecnico di Torino as a confirmed Associate Professor (Prof.ssa Associata Confermata). Visiting Researcher, West Virginia University, USA (April–September 2002). Research Interests Her work integrates control theory , flight mechanics , and artificial-intelligence-based sensing to enhance safety and efficiency of air and space vehicles. Key themes include: 4-D trajectory optimisation for climate-neutral aviation. Certifiable virtual air-data systems using neural networks. Flutter suppression and intelligent flight control for fixed-wing and rotary-wing aircraft. Low-thrust orbital mechanics, collision avoidance, and end-of-life disposal for satellites. Lighter-than-air platforms and VTOL hybrid drones for earth-observation and fire-monitoring missions. Scientific Awards & Recognition PoCN – Proof of Concept Network (2015), AREA Science Park, Italy. Regular evaluator for SESAR Joint Undertaking, EU H2020, and European Commission programmes. Doctoral Advising & Funding Since 2011 she has served on the PhD board of the Aerospace Engineering doctorate at Politecnico di Torino, currently supervising: Giorgio Antonio Orlando (39th cycle, 2023–) Gabriele Tarascio (39th cycle, 2023–) She has been Scientific Director of >20 competitively funded projects (EU Clean Sky MIDAS, ESA, MIUR-PRIN, EASA certification contracts, etc.) and commercial consultancy contracts exceeding €3 M. Laboratories & Teams Battipede leads the Modelling, Simulation and Control of Aircraft research group at DIMEAS, managing real-time hardware-in-the-loop test rigs, CubeSat development platforms, and an integrated multi-aircraft simulation laboratory for education and industrial validation.

Alberto De Santisمشاهده پروفایل

دانشیار

• Control Theory
• Signal Processing
• System Identification
• +۳ مورد دیگر

Alberto De Santis is an Associate Professor in the Department of Computer, Automatic and Management Engineering A. Ruberti at the University of Rome La Sapienza, Faculty of Information Engineering, Computer Science and Statistics. He has maintained this position since 1998 in the sector ING-INF04 - Automatica, following his progression from researcher positions at both the National Research Council and the university's Department of Computer and System Engineering. His educational background includes a degree in Electronic Engineering from University of Rome La Sapienza (1984, with honors) and a Specialization in Control Systems and Automatic Computing Engineering (1985-86). His academic journey included a visiting scholar position at UCLA's School of Engineering and Applied Mathematics (1990-91) and research fellowships at the Institute of Systems Analysis and Informatics. Professor De Santis teaches Fundamentals of Automatic Control for Management Engineering undergraduate programs and Modeling and Identification for Master's degree students. His research spans theoretical and applied domains with particular emphasis on filtering and control theory, signal processing, and system identification. He's also a member of Continuous Optimization research group and since 2011 has been associated with the university spin-off ACTOR SRL focused on Analytics, Control Technologies and Operations Research. His recent publications (2022-2024) demonstrate remarkable interdisciplinary reach, connecting traditional control engineering with aerospace systems, nutrition science, healthcare optimization, and sports medicine. This reflects a research trajectory that has evolved from core control theory to practical applications across diverse fields including aircraft formation, sustainable diet planning, emergency department operations, and dietary supplement usage patterns. He maintains active academic engagement through regular teaching (with documented 2024/25 course schedules), ongoing research collaborations, and participation in university spin-off initiatives. His office is located in room A204 at the university's Department of Computer, Automatic and Management Engineering.

Stefano Lucidiمشاهده پروفایل

استاد

• Nonlinear Optimization
• Derivative-Free Optimization
• Mixed Integer Programming
• +۳ مورد دیگر

Stefano Lucidi is a Full Professor of Operations Research at Sapienza University of Rome, where he is affiliated with the Department of Computer, Automatic and Management Engineering within the Faculty of Information Engineering, Computer Science and Statistics. He has held this position since November 1, 2000, after serving as Associate Professor from November 1, 1992 to October 31, 2000. He was coordinator of the PhD program in Operations Research from 2010 to 2012 and was a shareholder of the university spin-off ACTOR SRL until July 2024. His research interests span Nonlinear Optimization, Derivative-Free Optimization, Mixed Integer Programming, and Global Optimization. His methodological work focuses on unconstrained optimization methods, constrained optimization methods, non-differentiable optimization methods, derivative-free methods, and global optimization techniques. His applied research includes mathematical modeling of biological phenomena in cell kinetics, identification of astrophysical parameters, optimal management of bookable seats in rail transport, and optimal design of electromagnetic devices and industrial electric motors. His recent publications demonstrate a strong focus on derivative-free optimization methods, complexity analysis of algorithms, multi-objective optimization, and applications in diverse fields including healthcare, transportation, and neuroscience. His work bridges theoretical advances in optimization with practical applications across multiple domains. His significant contributions to the field include developing algorithms for simulation-driven design optimization, addressing nonsmooth optimization problems, and creating methods for multi-fidelity computations. His research has been published in top journals including Optimization Methods & Software, Journal of Optimization Theory and Applications, and Optimization Letters. Full Professor of Operations Research since 2000 PhD program coordinator (2010-2012) Shareholder of ACTOR SRL spin-off (2011-2024) Active contributor to optimization theory and applications Professor Lucidi has been instrumental in advancing optimization methodologies while maintaining strong connections to practical applications across various industries. His work continues to influence both theoretical developments and real-world implementations of optimization techniques.

Kalyanmoy Debمشاهده پروفایل

استاد

• Evolutionary Optimization
• Multi-criterion Optimization
• Machine Learning
• +۳ مورد دیگر

Kalyanmoy Deb serves as the Koenig Endowed Chair Professor in the Department of Electrical and Computer Engineering at Michigan State University, USA. A foundational figure in Evolutionary Multi-objective Optimization (EMO) since 1993, he has held visiting professorships at IITs in India, Aalto University (Finland), University of Skövde (Sweden), and Nanyang Technological University (Singapore), establishing global research collaborations. His research centers on evolutionary optimization algorithms and their applications in multi-criterion decision-making, predictive modeling, and machine learning systems. Prof. Deb's work bridges theoretical advances in computational intelligence with practical implementations across engineering domains, significantly advancing the field of artificial intelligence through scalable multi-objective solution frameworks. His exceptional contributions have been recognized with: IEEE Evolutionary Computation Pioneer Award Infosys Prize TWAS Prize in Engineering Sciences CajAstur Mamdani Prize Distinguished Alumni Award from IIT Kharagpur Edgeworth-Pareto award Bhatnagar Prize in Engineering Sciences Bessel Research award Humboldt Fellowship Fellow of IEEE and ASME Fellow of three Indian science and engineering academies With over 549 publications, 149,000+ Google Scholar citations, and an h-index of 123, Prof. Deb directs the Computational Optimization and Innovation Laboratory (COIN Lab), driving cutting-edge research in evolutionary computation. His editorial leadership spans 18 major journals, though specific details regarding student mentorship and grant funding remain undocumented in available sources.

Tiziana Cianoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Applied Mathematics
• Machine Learning
• +۷ مورد دیگر

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.