Find Academic Supervisors

• Computer Science
• Programming Languages
• Blockchain Technology
• +3 more

Alvise SPANO' is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He is also part of the Research Institute for Complexity. His academic focus includes Blockchain Programming Languages, Programming Languages, and Information Systems. Research projects include ALGOMOVE for Algorand and the RINmaker bioinformatics tool. He has taught courses like Object-Oriented Programming and Introduction to Programming at both undergraduate and doctoral levels. Research interests span smart contract analysis, type systems, and cybersecurity in distributed systems. He contributed to projects like secure RPL for mobile networks and Android-LEGO interoperability. Funding includes the CEVID 2016 project (Role: LD), collaboratively managed with researchers like Agostino Cortesi and Salvatore Orlando. His work bridges theoretical foundations (e.g., COBOL code typing) with practical applications in wearable systems and bioinformatics. Collaborations include the Blockchain Programming Languages research group with Lorenzo Benetollo and Sabina Rossi.

• Constraint Programming
• Algorithm Selection
• String Constraint Solving
• +4 more

Roberto Amadini is an Associate Professor in the Department of Computer Science and Engineering at the University of Bologna. His work focuses on constraint programming, algorithm selection, and string constraint solving, with applications in cloud-edge computing and IoT systems. He leads research in deploying microservices over hybrid infrastructures and optimizing solver portfolios for constraint satisfaction problems. Research interests include advanced constraint solving techniques, formal methods for software analysis, and energy-efficient resource allocation. Amadini’s contributions span the design of frameworks like FREEDA and SUNNY-as2, which enhance deployment resilience and algorithm selection efficiency. His work bridges theoretical foundations with practical implementations in programming languages and verification tools. Recent publications explore sustainable cloud-edge applications, failure-resilient systems, and dynamic symbolic execution. He actively contributes to open-source projects like JSetL and participates in international solver challenges. No awards are explicitly listed in the provided materials. Amadini’s research group addresses cutting-edge challenges in distributed computing and constraint-based methodologies. Ongoing projects focus on optimizing solver portfolios for real-world computational tasks and advancing string analysis techniques in programming paradigms.

Mario BaldiView profile

Associate Professor

• Programmable data planes
• Software-defined networking
• Network security
• +5 more

Mario Baldi is an Associate Professor (on leave) of Information Processing Systems at the Department of Control and Computer Engineering , Politecnico di Torino , and concurrently a Fellow in the Office of the CTO, Adaptive and Embedded Computing Group, at AMD, San Jose, CA. His career blends deep academic research with extensive industry R&D leadership. Education M.Sc. (Summa Cum Laude) in Electrical Engineering, Politecnico di Torino, 1993 Ph.D. in Computer and System Engineering, Politecnico di Torino, 1998 Research Focus Baldi’s research spans programmable data planes, software-defined networking, big-data analytics for network management, network security, high-performance switching architectures, optical networking, QoS mechanisms, and multimedia/voice-over-IP systems . He is especially known for pioneering work on P4 -based programmable networks and SmartNIC architectures. Publication & Patent Impact Across 150+ refereed papers and 35+ US patents (plus European filings), his recent output concentrates on machine-learning-driven network data-plane functions , disaggregated stateful network services , and cloud-grade DPUs . The 2021–2024 articles emphasize real-time inference directly in the network data plane and modular SDN programming. Awards & Honors Best Paper Award, IEEE ICC 2007 Best Paper Award, IEEE ISCC 2008 Best Paper Award, IEEE GreenComm 2009 Best Paper Award, ACM/IEEE WI/IAT 2014 Grants & Projects Baldi has served as Principal Investigator or Scientific Coordinator on numerous EU Framework and Italian national projects (PRIN, FAR), leading consortia on energy-efficient packet networks, trusted software execution, wireless mesh architectures, and streaming media delivery. Teaching & Mentoring He has taught graduate courses on Enterprise Network Technologies, Computer Network Technologies and Services, Networks/Cloud/Application Security at Politecnico di Torino since 2003. He has also supervised PhD collegi for the Computer and Systems Engineering doctoral program (cycles 19–23) and held visiting/adjunct positions across four continents. Labs & Teams Previously headed the NetGroup (Computer Networks Group) at Politecnico di Torino (2001–2007) and co-chairs the p4.org Architecture Workgroup , driving open standards for programmable networking.

Angelo SpognardiView profile

Associate Professor

• Information Security
• Social Media Fake Phenomena
• Network Security
• +5 more

Angelo Spognardi is an Associate Professor in the Department of Computer Science at Sapienza University of Rome, leading the Network Security Lab group since March 2020. He teaches courses including Practical Network Defense and Programming Unit 2 for Computer Science and Cybersecurity programs. His research spans information security , with emphasis on fake phenomena in social media , fake content analysis in review systems, adversarial machine learning , and network security for resource-constrained devices . His work integrates bio-inspired models for bot detection and focuses on resilient metrics against disinformation campaigns. Recent publications explore LLM-powered bot detection and IPv6 security. He leads the Prebunking research project predicting coordinated inauthentic behaviors in social media. His lab promotes initiatives like CyberX Mind4Future , offering cybersecurity training with virtualized labs and hackathons. Master's students in Cybersecurity under his guidance achieve 100% placement with top salaries in Italy. Spognardi maintains active collaborations with the Sysma group at IMT Lucca and previously worked with DTU IoT Center and CNR's Institute of Informatics and Telematics. His industry impact includes frameworks like SafeDroid for Android malware detection and analyses of IoT broker vulnerabilities.

• Physics Education
• Science Education
• Educational Technology
• +3 more

Onofrio Rosario Battaglia serves as an Associate Professor in the Department of Physics and Chemistry at the University of Palermo, Italy, where he teaches Applied Physics for Biotechnology and Physics for Elementary and Kindergarten Schools. His academic profile centers on innovative physics pedagogy with emphasis on accessible experimental methods. His research expertise spans Physics Education , Science Education , and Educational Technology , specializing in inquiry-based learning frameworks and technology integration. Battaglia develops research-based teaching sequences using smartphone sensors and computer simulations to demystify complex phenomena including surface tension, thermally activated processes, and rotational dynamics. His work targets conceptual understanding across educational levels from primary schools to engineering programs, with notable focus on cluster analysis for evaluating student reasoning patterns and growth mindset development. Analysis of his publication trajectory reveals consistent innovation in making abstract physics tangible through low-cost experimentation, particularly in surface phenomena and thermodynamics education. Recent work integrates pandemic-era teaching adaptations and historical instrument studies, demonstrating responsiveness to evolving educational challenges while maintaining rigorous pedagogical validation. Within the Department of Physics and Chemistry, Battaglia contributes to curriculum development for teacher training programs and STEM laboratory initiatives, supporting the department's mission through evidence-based educational design and cross-disciplinary collaboration in science-mathematics integration projects.

• Adaptive behavior
• Cognitive robotics
• Computer simulation
• +12 more

Mauro Da Lio serves as a Full Professor in the Department of Industrial Engineering at the University of Trento, Italy. His office is located at Via Sommarive, 9 - 38123 Povo, with contact numbers 0461 282501 and 0461 282504. Professor Da Lio's research spans multiple cutting-edge domains in engineering and robotics. His expertise includes: Adaptive behavior and cognitive robotics systems Computer simulation techniques and cooperative systems Driver modeling and GPS applications Industrial engineering and intelligent vehicles development Mechatronics integration and layered control architectures Robotics, uncertainty analysis, and vehicle dynamics Virtual reality applications in engineering contexts He teaches several core courses in the Industrial Engineering Laurea program including Elements of Mechanics, Fundamentals of Mechanics, Artificial Intelligence for Industrial Systems, and Mechanical Systems and Models. His teaching methodology emphasizes practical application of theoretical concepts, particularly in kinematics, statics, and dynamics of rigid bodies using Newtonian methods. In his AI course, he focuses on implementing neural network-based solutions for modeling robotic systems and industrial processes. Professor Da Lio also incorporates computational tools like Wolfram Mathematica for modeling mechanical systems, demonstrating strong integration of traditional engineering principles with modern computational approaches.

• Sports Science
• Artificial Intelligence in Sports
• Performance Analysis
• +5 more

Daniele Conte serves as a Fixed-term Researcher at the University of Rome 'Foro Italico' within the Department of Human and Health Sports Sciences. His institutional roles include membership on the Review Group for the Master's Degree Course LM68 and external appointments as Visiting Professor at the Lithuanian Sports University and committee member for the Doctoral Program in 'Educational Models and Contexts: Sport, Inclusion and Technologies' at the University of Cassino and Southern Lazio. He also instructs physical trainer courses for the Italian Basketball Federation (FIP) and serves on the Scientific Board of the Italian Association of Basketball Physical Trainers (APFIP). His research spans Sports Science with emphasis on Artificial Intelligence applications in performance analysis, training load monitoring, and recovery strategies in team sports. Specialized expertise includes basketball performance metrics, validity testing of inertial movement units/GPS systems, prediction modeling for athletic load management, and health-focused recreational basketball programs. Methodological innovations feature in his work on agility testing, submaximal fitness assessments, and recovery protocol effectiveness. Recent publications (2023-2024) demonstrate consistent focus on basketball performance analysis, with emerging themes in digital coaching tools, cross-sport load monitoring (volleyball), and physiological response tracking using salivary biomarkers. International collaborations characterize his work, particularly with Lithuanian and Spanish institutions, employing ecological study designs that bridge laboratory research with real-world athletic contexts. No scientific awards or fellowships are documented in the provided materials. Conte actively leads research funding initiatives including the Nordplus Horizontal project 'Digitalization in the Coaching Process Across Nordic-Baltic Countries' (€92,940, 2022-2024) and contributed to the Erasmus+ 'ED MEDIA' partnership (€357,560, 2019-2020). His advisory capacity extends to doctoral supervision and professional training through FIP-certified courses, though specific student names aren't listed. His research operations involve the International Basketball Research Network and multi-institutional European projects like DE-PASS COST Action, focusing on translating sports science into public policy frameworks for physical activity promotion.