Find Academic Supervisors

• Optical Communications
• Telecommunications
• Signal Processing
• +1 more

Yanchao Jiang is a Fixed-term Researcher (Law 240/10 art.24-A) at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy, specializing in Telecommunications (IINF-03/A). She teaches Software-defined communication systems for Communications Engineering Master's programs (2022/23-2023/24) and Signals and systems for Electronic and Communications Engineering Bachelor's programs (2025/26). Her research focuses on Optical Communications with emphasis on nonlinear interference estimation , power optimization in multi-band optical systems , and performance enhancement of long-haul transmission . She develops digital signal processing techniques using linear least squares and closed-form models (e.g., Enhanced Gaussian Noise model) to address challenges in C+L+S band optical networks, targeting high-capacity fiber transmission systems. Recent publications (2024-2025) reveal a concentrated research trajectory on nonlinear interference mitigation through longitudinal power monitoring and closed-form modeling. Her work bridges theoretical DSP frameworks with practical optical system optimization, evidenced by publications in premier venues like Journal of Lightwave Technology , IEEE Photonics Technology Letters , and OFC/IPC conferences, demonstrating consistent contributions to optical transmission engineering. No scientific awards or honors were documented in the source materials. Teaching responsibilities include course collaboration for advanced communication engineering curricula, though no student advising roles or research grants were specified. Her work appears deeply integrated with Politecnico di Torino's telecommunications research infrastructure, particularly in optical network optimization projects.

• Bayesian Inference
• Digital Signal Processing
• Global Navigation Satellite Systems (GNSS)
• +5 more

Alex Minetto is a Fixed-Term Tenure-Track Assistant Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino. He teaches courses such as Satellite Navigation Signal Exploitation and Numerical Estimation Methods across various Engineering programs. Research interests include Bayesian inference, GNSS signal processing, and deep-space navigation. Key research lines involve designing Bayesian filters, lunar orbiter GNSS applications, and RFI threat monitoring. His 2025-2024 publications focus on GNSS for cislunar navigation, solar storm impacts, and inter-orbiter synchronization. Supervised PhD students include Lorenzo Sciacca, Luca Morichi, and Anais Delepaut. He contributes to projects like INSPIRE and collaborates with NavSAS research group.

• Additive manufacturing
• Antennas
• Evolutionary algorithms
• +5 more

Paola Pirinoli is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin . Her research focuses on antennas, computational electromagnetics, and innovative optimization techniques , with a particular emphasis on reflectarray and transmitarray antennas . She has contributed to high-frequency communication technology and millimeter wave applications , aligning with the ERC PE7 sectors and UN SDG Goal 9 . Research Leadership : Leads the Applied Electromagnetics research group, specializing in planar reflectarrays and smart electromagnetic skins . Supervised Students : Mentors Owais Khan , Francesco Lattanzio , and Shahid Ayaz in the Electrical, Electronics and Communications Engineering PhD program. Key Awards : URSI Young Scientist Award (1998) Giorgio Barzilai Award (1998) Best AP2000 Oral Paper on Antennas Prize (2000) Patents : Holds international patents for Satellite antenna using a planar reflector and Electromagnetic wave propagation in sinusoidally modulated dielectrics .

• Fog Computing
• Edge Computing
• Distributed Systems
• +5 more

Claudia Canali is an Associate Professor at the Department of Engineering "Enzo Ferrari" within the University of Modena and Reggio Emilia. Her work focuses on distributed systems, edge and fog computing, and gender equality in academia. She has extensively researched optimization algorithms for micro-service placement, load balancing, and resource allocation in fog and edge computing environments. Her publications address challenges such as latency reduction, energy efficiency, and network congestion in smart city applications. Recent studies include the development of next-generation collaborative research platforms like NextPyter, containerized Jupyter environments, and simulation tools such as ConSUMO. She also contributes to initiatives like the "Digital Girls" summer camp to reduce gender gaps in computer science education. Her peer-reviewed articles span theoretical models validated through simulation, practical implementations, and interdisciplinary studies on organizational behavior. Her work integrates technical solutions with social impact, particularly in multidisciplinary contexts.

Matteo CianchettiView profile

Associate Professor

• Soft Robotics
• Biorobotics
• Soft Mechatronics
• +5 more

Matteo Cianchetti serves as Associate Professor at the BioRobotics Institute of Sant'Anna School of Advanced Studies, where he leads the Soft Mechatronics for Biorobotics Lab with a 13-member research team. His work centers on developing soft robotics technologies for biorobotic applications spanning healthcare, surgery, and industrial automation. His academic foundation includes: MSc in Biomedical Engineering (cum laude), University of Pisa, 2007 PhD in Biorobotics (cum laude), Scuola Superiore Sant'Anna Dr. Cianchetti's research pioneers Soft Mechatronics for Biorobotics , focusing on soft actuators, compliant sensors, and flexible mechanisms. His work drives innovation in: Assistive robotics (I-SUPPORT bathing assistance system) Surgical robotics (STIFF-FLOP variable-stiffness manipulators) Artificial organs (hybrid heart and larynx development) Wearable monitoring systems for neurorehabilitation His 2024-2025 publications reveal accelerating trends in machine learning integration for soft robot control, biomimetic medical simulators, and agricultural automation. Key advancements include textile-based proprioception, laser-induced graphene sensors, and variable-stiffness architectures enabling real-world deployment in low-resource settings. No scientific awards were documented in the source material. He coordinates major EU initiatives including: SoftGrip: Mushroom harvesting robotics (as coordinator) Hybrid Heart: Artificial heart combining soft robotics and tissue engineering MAESTRI: Next-generation medical robotics platforms His lab actively mentors researchers while securing industry partnerships with oil/gas and sportswear leaders for technology transfer. The Soft Mechatronics for Biorobotics Lab operates as an innovation hub translating fundamental research into commercial applications. Current projects span pipeline inspection robotics, performance-enhancing athletic wear, and educational soft robotics kits, demonstrating strong industry-academia collaboration.

Denise AmramView profile

Assistant Professor

• Fundamental Rights
• Digital Rights
• Privacy and Data Protection
• +5 more

Denise Amram serves as Senior Assistant Professor of Comparative Private Law at the Institute of Law, Politics and Development (DIRPOLIS) within Sant'Anna School of Advanced Studies, where she also holds an affiliate Researcher position at the L'EMbeDS Department of Excellence. She coordinates the Permanent Observatory on Personal Injury Damages and leads the ETHOS (EThics and law witH and fOr reSearch) and Family Law research lines at the LIDER Lab, while recently joining the Council of Europe's expert pool on Children's Rights and Artificial Intelligence in Education. Her educational foundation includes a PhD in Law from Scuola Superiore Sant'Anna (2012). PhD in Law, Scuola Superiore Sant'Anna, 2012 Amram's research centers on dignity and fundamental rights enhancement in digital contexts, with specialized focus on privacy, data protection, and family law across national, EU, and comparative frameworks. She pioneers work in children's digital rights empowerment and tort liability modernization , examining how technological innovation impacts personal injury compensation paradigms and digital vulnerability mitigation. Her 2024-2025 publications reveal concentrated exploration of AI policy in education, digital rights standardization, and regulatory oversight mechanisms. Key thematic threads include children's online safety frameworks, EU data strategy implementation in R&D, and cross-jurisdictional harmonization of damage compensation systems, reflecting her dual expertise in legal theory and practical technological governance. Actively engaged in research leadership, Amram directs the Permanent Observatory on Personal Injury Damages while participating in EU and nationally funded projects on data governance. Her consultancy for the Council of Europe and evaluation role for EU Commission proposals demonstrate significant policy influence. She previously served as Data Protection Officer for both Sant'Anna School and Scuola Normale Superiore (2018-2021). As core faculty at the LIDER Lab (Laboratory for Interdisciplinary Research on Regulation and Digital Law), she collaborates with international partners across France, Netherlands, Ireland, Belgium, Malta, and the USA. Her work bridges legal scholarship with real-world applications through steering committee roles for Opinio Juris in Comparatione and GenIUS journals, alongside membership in Diritto di Internet.

• Many-body systems
• Nuclear astrophysics
• Nuclear physics
• +2 more

Alessandro Roggero is an Associate Professor at the Department of Physics, University of Trento. His teaching responsibilities include Advanced Quantum Mechanics, Computational Physics, and Scientific Programming courses. His research spans nuclear physics, quantum computing, and many-body systems, with a focus on quantum algorithms for simulating nuclear dynamics and neutrino oscillations. University: University of Trento Department: Department of Physics Email: a.roggero@unitn.it His work integrates quantum computing with nuclear physics, emphasizing quantum Monte Carlo methods, error mitigation, and optimization algorithms. Recent publications highlight advancements in simulating neutrino oscillations, lattice gauge theories, and many-body systems using quantum processors. Teaching activities include courses on quantum mechanics and computational physics, aiming to equip students with analytical tools for scattering processes, symmetry applications, and numerical simulation techniques.

Silvio C. E. TosattoView profile

Professor

• Bioinformatics
• Machine Learning
• Protein Structure
• +5 more

Silvio C. E. Tosatto is a Full Professor of Bioinformatics at the Department of Biomedical Sciences, University of Padua (Italy), where he heads the BioComputing UP laboratory. He holds significant leadership roles within ELIXIR, the European infrastructure for life science data, serving as deputy Head of Node for ELIXIR Italy, member of the Data Platform Executive Committee, co-lead of the Cellular & Molecular Research priority area, and co-lead of the Machine Learning focus group. His research spans multiple areas of computational biology and bioinformatics with particular focus on protein structure analysis, machine learning applications in biology, cancer research, and personalized medicine. His work encompasses protein aggregation, repeat proteins, residue interaction networks, and infrastructure development for bioinformatics research. Analysis of his recent publications shows a strong emphasis on database development for protein science (Pfam, InterPro, RepeatsDB), integration of AI/ML approaches in biological data analysis, and applications in genetic variant interpretation for medical conditions like intellectual disability. His work demonstrates the convergence of traditional bioinformatics with modern machine learning techniques. Professor Tosatto maintains active research collaborations across Europe as evidenced by his extensive co-authorship networks. His leadership in ELIXIR highlights his significant contribution to European bioinformatics infrastructure development. He earned his PhD (Dr. rer. nat. with Magna cum laude distinction) in bioinformatics from Universität Mannheim in 2002, following a 1998 graduate degree in Computer Science & Business Administration from the same institution. He has been a Full Professor since October 2016. Fluent in English, Spanish, German, and Italian (native), Professor Tosatto operates effectively in international research environments and leads a productive research group focused on advancing computational approaches to biological problems.

• Deep Learning
• Uncertainty Quantification for Physically-Based Simulations
• Numerical Optimization
• +1 more

Francesco Della Santa is a Fixed-term Assistant Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino, where he contributes to teaching and research in deep learning, numerical analysis, and optimization. Master Degree in Mathematics, University of Florence (2017) Ph.D. in Pure and Applied Mathematics, Politecnico di Torino (2021) His research focuses on Deep Learning and its applications to Numerical Optimization and Physically-Based Simulations , with a particular emphasis on uncertainty quantification and graph-informed neural networks. Recent publications explore discontinuous neural networks for kernel learning, edge-wise graph modeling, and multi-start optimization techniques. Francesco collaborates on courses like Numerical Optimization for Large Scale Problems and Mathematics for Artificial Intelligence across Mathematical Engineering and Data Science programs. He supervises Ph.D. student Filippo Aglietti in the Energetics program (38th cycle, ongoing since 2022). Research groups: Numerical Analysis and Scientific Computing (DISMA)

Sabrina BrigadoiView profile

Assistant Professor

• functional near-infrared spectroscopy
• visual short-term memory
• cognitive neuroscience
• +3 more

Sabrina Brigadoi is an Assistant Professor at the University of Padua, Italy, specializing in cognitive neuroscience and neuroimaging methodologies. Her research centers on functional near-infrared spectroscopy (fNIRS) and visual short-term memory , investigating neural mechanisms of attention, working memory, and visual search. She pioneers methodological advancements including motion correction algorithms, optimal source-detector configurations, and neonatal cap design for fNIRS applications. Her work bridges technical innovation with cognitive theory to enhance non-invasive brain imaging capabilities. Recent publications (2021-2025) reveal expanding applications in smartphone-based sensor registration , PTSD biomarker discovery , and infant neurodevelopment . Her research trajectory demonstrates progression from foundational fNIRS methodology to translational studies in clinical and developmental contexts, maintaining strong emphasis on visual cognition while diversifying into psychiatric and pediatric neuroscience.

Emmanuela OrsiniView profile

Assistant Professor

• Cryptography
• Secure Computation
• Multiparty Computation
• +7 more

Emmanuela Orsini serves as an Assistant Professor in the Department of Computing Sciences at Bocconi University in Milan, Italy. She previously held a permanent position as a Research Expert in the Computer Security and Industrial Cryptography (COSIC) group at KU Leuven, Belgium, and worked as a Senior Research Associate at the University of Bristol, UK. Her educational background includes a PhD in Mathematics and Statistics for the Computational Sciences from the University of Milano and a Master's degree in Mathematics from the University of Pisa. These qualifications form the foundation of her expertise in both theoretical and applied aspects of cryptography. Orsini's research spans the theoretical and practical dimensions of secure computation, with particular emphasis on multiparty computation and homomorphic encryption. Her work on efficient zero-knowledge schemes has contributed to practical implementations of cryptographic protocols that maintain security while optimizing computational resources. She has made significant contributions to post-quantum cryptography, notably through her involvement in the NIST post-quantum standardization process with the LIMA and NewHope submissions, as well as developing the FAEST signature algorithm which leverages AES for quantum-resistant signatures. Analysis of her recent publications reveals a strong focus on optimizing cryptographic protocols for practical deployment. Her work demonstrates consistent advancement in making multi-party computation more efficient while maintaining security guarantees, with particular attention to zero-knowledge proofs and post-quantum cryptographic constructions. The progression from theoretical foundations to practical implementations is evident across her publication history. Orsini has served on program committees for numerous prestigious cryptography conferences including CRYPTO, EUROCRYPT, and ACM CCS, reflecting her standing in the cryptographic research community. Her editorial work includes serving on the boards of Mathematical Cryptology and Communications in Cryptology. Her teaching activities span multiple institutions, with recent courses including Information Theory and Introduction to Computer Science at Bocconi University. Previously, she has taught post-quantum cryptography at the University of Pisa, public key cryptography at ESA/ESTEC, and coding theory at KU Leuven and University of Bristol. Orsini actively contributes to collaborative research projects, particularly in the post-quantum cryptography space through her involvement with the NIST standardization process. Her recent work on FAEST demonstrates her leadership in developing practical quantum-resistant signature schemes that balance security, efficiency, and implementation considerations.

Andrea TangherloniView profile

Assistant Professor

• Computational Biology
• Bioinformatics
• Artificial Intelligence
• +3 more

Andrea Tangherloni is currently an Assistant Professor in the Department of Computing Sciences at Bocconi University , Milan, Italy. His academic journey includes a Bachelor’s (2013), Master’s (2015), and PhD (2019) in Computer Science from the University of Milano-Bicocca. Prior to his current role, he held positions as a Research Associate at the University of Cambridge and Wellcome Trust – MRC Cambridge Stem Cell Institute (2018–2020), and Postdoctoral Research Fellowships at the University of Bergamo (2020–2022) and Bocconi University (2022–2023). Education: Bachelor’s, Master’s, and PhD in Computer Science from University of Milano-Bicocca (2013–2019). Research Interests focus on bridging Computational Biology , Bioinformatics , and Artificial Intelligence to address computationally intensive challenges in biology and medicine. His work emphasizes developing AI-based tools for understanding cell development, disease progression, and advancing personalized and regenerative medicine through techniques like Machine Learning , Computational Intelligence , and High-Performance Computing . Publication Trends highlight his contributions to single-cell RNA-seq analysis, autoencoder-based methods, and GPU-accelerated simulations. Key areas include cell type identification , multi-objective optimization , haplotype assembly , and medical imaging enhancement , reflecting interdisciplinary applications of AI in biomedical research.

Georgia FARGETTAView profile

Research Fellow

• Optimization
• Machine Learning
• Game Theory
• +9 more

Georgia Fargetta is a Research Fellow (RTD-A) in Computer Science at the Department of Mathematics and Computer Science, University of Catania, Italy. She holds a PhD in Computer Science (2022) and both Bachelor's (2017) and Master's (2019) degrees in Mathematics from the University of Catania. Current academic affiliation: Department of Mathematics and Computer Science, University of Catania Academic rank: Research Fellow RTD-A (INF/01) Research themes: Optimization, Machine Learning, Game Theory, and applications to supply chain networks and crowd evacuation modeling Research Interests Georgia's research spans multiple domains including: Optimization Game Theory Metaheuristic Algorithms Crowd Simulation Medical Supply Chain Her publications demonstrate expertise in applying these methodologies to diverse problems such as social media content competition, emergency evacuation planning, and medical supply allocation. The scientific awards section highlights: Young Women in Operations Research Award (EURO WISDOM, 2021) Young Women for Operational Research (2022) She actively participates in international conferences including ODS, EUROPT, and MIC. As member of IPLAB (Image Processing Laboratory), she contributes to research in Computer Vision and Multimedia.

Simone FaroView profile

Associate Professor

• Algorithmic solutions for text-processing
• Natural language processing
• Algorithmics in quantum domain
• +12 more

Simone Faro is an Associate Professor at the University of Catania , affiliated with the Department of Mathematics and Computer Science . He has held this position since 2015, after serving as a University Researcher from 2006 to 2015. Teaches Algorithms and Laboratory (Bachelor's L31) and Quantum Computer Programming (Master's LM18) Also teaches Computer Science (Bachelor's L20) and previously held Computational Linguistics (Master's LM49) at the Department of Humanities Research Focus : Algorithmic solutions for text-processing and natural language processing Combinatorial algorithms on graphs and networks Privacy-preserving text processing Bit-parallel automata simulations Quantum domain algorithm design Research Projects : Co-Principal Investigator for STORAGE (2020), University of Catania Responsible for Scientific Degrees Plan (PLS 2019/21) Component in Godscapes project (2020) and COMPACT project (2015) Principal Investigator for multiple string matching and secure text processing projects Editorial Roles : Guest Editor for Algorithms journal (MDPI) special issues Editor for String Processing and Combinatorial Algorithms (Springer Nature) Member of Le Matematiche editorial team Contact: faro@dmi.unict.it | simone.faro@unict.it

Alessandro OrtisView profile

Assistant Professor

• Computer Vision
• Biometrics
• Machine Learning
• +6 more

Alessandro Ortis is a Fixed-term Assistant Professor (RTDb) in Computer Vision at the Department of Mathematics and Computer Science, University of Catania . He teaches Programmazione 2 (Computer Science BD) and Statistical Laboratory (Data Science MD). As director of the IPLAB Biometric Research Group (BioRG) , he leads work in Computer Vision , Deepfake Detection , and Biometric Security with applications in Forensic Analysis and Medical Imaging . He is an IEEE Senior Member and active participant in international scientific events as organizer and reviewer. Education: PhD in Mathematics and Computer Science (2019, University of Catania; Imperial College London collaboration), MSc in Computer Science (summa cum laude, 2015) His research focuses on adversarially robust models , multimodal analysis , and physiological signal processing . Current projects include SIAM (Multimodal AI) and SAFE-IA (AI Reliability & Robustness). He has authored/co-authored over 20 journal papers and 40 conference proceedings, including a Best Poster Award at IMPROVE 2021. Key Research Areas: Computer Vision Biometric Security Adversarial Machine Learning Medical Imaging Analysis Forensic Vision He holds editorial/reviewer roles at IEEE Access , Journal of Imaging , and Springer LNCS . The BioRG team under his leadership explores explainable AI , edge computing frameworks , and privacy-preserving learning for biometric applications.