جستجوی استاد راهنمای دانشگاهی

Domenico Ciuonzoمشاهده پروفایل

استادیار

• Information Fusion
• Statistical Signal Processing
• Wireless Sensor Networks
• +۹ مورد دیگر

Dr. Domenico Ciuonzo is an Assistant Professor at the University of Naples Federico II , Department of Electrical Engineering and Information Technologies. His research focuses on Information Fusion , Statistical Signal Processing , Wireless Sensor Networks , Network Analytics , Artificial Intelligence , and Wireless Communications . He actively explores applications in deep learning , encrypted traffic classification , and IoT security . His recent work emphasizes explainable AI , quantum machine learning , and class incremental learning for network intrusion detection. Over 30+ publications span topics like decision fusion in MIMO systems , mobile app traffic analysis , and cybersecurity for IoT . He is also involved in dataset development (e.g., MIRAGE-APP× ACT-2024) and algorithmic frameworks for encrypted traffic classification . Key research trends include: Optimizing holographic communication systems and reconfigurable intelligent surfaces for wireless networks Developing attack-adaptive intrusion detection systems resilient to emerging threats Advancing quantum computing applications in network monitoring and prediction His research integrates statistical signal processing with modern AI techniques , addressing challenges in data privacy , network security , and resource-constrained environments .

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

• Quantum Optics
• Integrated Photonics
• Material Science
• +۳ مورد دیگر

Mirko Lobino is an Associate Professor at the University of Trento, affiliated with the Department of Industrial Engineering. His work bridges theoretical concepts and practical applications in quantum optics, photonics, and material science. Teaches Fisica 1 (PARI) and Fisica 2 Co-teaches Physics and Thermodynamics of Materials with Alberto Quaranta and Francesco Parrino Research interests focus on quantum information science, laser physics, and graphene-based materials for strain sensing. He develops programmable photonic circuits for quantum computing and investigates thermodynamic principles in material transformations. Recent publications highlight advancements in photon number detection, quantum system control, and squeezed light generation for quantum networks. His work involves collaborations with the Department of Mathematics and integrates ion traps, photonic waveguides, and machine learning for quantum technologies. He explores applications in wearable sensors, electrochemical biosensing, and high-temperature electronics.

Enrica Martiniمشاهده پروفایل

دانشیار

• Electromagnetics
• Antenna Design
• Metasurfaces
• +۲ مورد دیگر

Enrica Martini serves as Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, teaching Bioelectromagnetism and Device Electromagnetic Compatibility for the Master's in Electronics and Communications Engineering and Electromagnetic Fields for Telecommunications for the Bachelor's in Computer and Information Engineering. Her office hours are held Mondays 3:00-5:00 PM in Room 140. Her research centers on advanced electromagnetics with specialized focus areas: Metasurface antenna design for beam steering and reconfigurability Dual-polarized systems and circular polarization techniques Electromagnetic compatibility in bioelectromagnetic applications Surface wave manipulation for wireless communication optimization Recent publications (2024-2025) reveal concentrated innovation in metasurface technology, particularly non-locality compensation in dome antennas, continuous beam steering mechanisms, and multi-beam dual-polarized systems operating in Ka-band. These contributions target enhanced channel capacity and efficiency for next-generation 5G/6G networks through electromagnetic degrees of freedom exploitation. Contact: enrica.martini@unisi.it | +39 0577 232236 (int. 2236)

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +۹ مورد دیگر

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Telecommunications
• Wireless Communications
• 5G Networks
• +۳ مورد دیگر

Nancy Varshney is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. She contributes to the College of Electronic Engineering, Telecommunications, and Physics, as well as the College of Mechanical, Aerospace, and Automotive Engineering within the university. Her academic work focuses on telecommunications technologies, particularly in the context of 5G and beyond. Research Interests : Nancy Varshney's research spans key areas such as millimeter-wave (mmWave) communication systems, beamforming strategies, UAV (drone)-assisted networks, and backscatter sensor technologies. Her work addresses critical challenges in optimizing data collection, energy efficiency, and network performance for next-generation wireless systems. Recent Publications : Her recent publications highlight advancements in mmWave beamforming, UAV-aided communication, and resource allocation for 5G+. These studies explore low-complexity algorithms, wideband mmWave systems, and beam squint effects to enhance network performance. The research contributes to the evolution of telecommunications infrastructure and wireless signal processing. Teaching Contributions : She collaborates on courses including 'Software-defined communication systems,' '5G and next-generation mobile computing,' and 'Communication and network systems,' particularly focusing on computer network design and control. Her teaching roles span multiple academic years and programs at Politecnico di Torino.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

Adnan Rashidمشاهده پروفایل

استادیار

• Network Security
• IoT Protocols
• Low and Lossy Networks
• +۳ مورد دیگر

Adnan Rashid is an Assistant Professor in the Department of Electrical and Information Engineering at Polytechnic University of Bari. He holds a Ph.D. in Telecommunication and Telematics from the University of Florence and Master's/Bachelor's degrees in Computer Engineering and Computer Science from Pakistani institutions. His research focuses on: IoT network architectures and protocol design Security in low-power lossy networks (LLN) Cloud/fog computing integration Standardization of IPv6 performance metrics He actively contributes to IETF standardization efforts, particularly in the IPv6 Performance and Diagnostic Metrics (ippm) working group. His work on 6LoWPAN neighbor discovery protocols includes collaboration with ns-3 simulator developers. Recent publications address lawful interception architectures, intelligent reflecting surfaces for 5G/6G, and spectrum efficiency in cognitive networks.

• Quantum Computing
• Optimization
• Microelectronics
• +۳ مورد دیگر

Deborah Volpe is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET), Politecnico di Torino. She actively contributes to teaching in the Master of Science in Microelectronic Systems and Quantum Hardware Design courses since 2022. Her research focuses on quantum computing, optimization algorithms, and FPGA development for quantum-classical hybrid systems. Teaching: Microelectronic Systems (2022–2024), Quantum Hardware Design (2024) Collaborations: Quantum Engineering and FPGA-based quantum emulation Recent publications (2024–2025) highlight applications of quantum optimization in satellite operations and FPGA-based quantum circuit emulation. She supervises doctoral student Christian Conti and participates in interdisciplinary research teams for quantum hardware projects.

• Electronics Engineering
• VLSI Design
• Digital Signal Processing
• +۵ مورد دیگر

Stefania Perri is an Associate Professor of Electronics at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). She holds a PhD in Electronics Engineering from the University of Reggio Calabria and has been actively involved in research and teaching since 1996. Research Interests include: Quantum-Dot Cellular Automata (QCA) - Invented an efficient QCA adder design methodology with three theorems. Image Processing - Developed memory architectures for aerospace applications and stereovision systems on FPGA. Low-Power Circuits - Designed novel SRAM cells and validated sub-threshold logic models. High-Speed Arithmetic - Holds US Patent 7,016,932 B2 for carry propagation optimization. Scientific Contributions: Over 120 publications including 58 journal papers, 48 conference proceedings, 3 patents International Collaborations with University of Rochester (USA) and Idaho State University Awards: Best Paper Awards at CENICS 2016 and CENICS 2010 Bronze Leaf Certificate at IEEE PRIME'06 Multiple Invited Paper recognitions

• Low-Power Integrated Circuits
• High-Speed CMOS Design
• Reconfigurable Circuits
• +۶ مورد دیگر

Marco Lanuzza is an Associate Professor in the scientific disciplinary sector ING-INF/01-Electronics at the Department of Computer Engineering, Modeling, Electronics, and Systems (DIMES) at the University of Calabria. He obtained his degree and Ph.D. in Electronic Engineering from the "Mediterranea" University of Reggio Calabria in 2000 and 2005, respectively, and has taught at the University of Calabria and other institutions since 2005-06. He holds the National Scientific Qualification for Full Professor in Electronics (2019) and is a Senior Member of IEEE (2016). Education: Electronic Engineering (110/110), Ph.D. in Electronic Engineering Research Focus: Low-power/high-speed CMOS circuits, reconfigurable circuits, nanotechnology optimization Editorial Roles: Associate Editor for Elsevier's 'Integration, the VLSI Journal' and Wiley's 'International Journal of Circuit Theory and Applications' His research spans circuit design, nanotechnology validation, and applications in signal processing and IoT. Recent publications highlight innovations in content-addressable memory, PUF architectures, and STT-MRAM for in-memory computing. Key subfields include energy-efficient memory systems, hardware security, and cryogenic electronics. Scientific Awards: Senior Member of IEEE (2016) National Scientific Qualification for Full Professor (09/E3 - Electronics, 2019) Associate Editor for two major journals Marco Lanuzza contributes extensively to international conferences as Program Chair and TPC Member. He is part of the Nanoelettronica e Microsistemi research group at DIMES, focusing on multidisciplinary electronic systems and sensor design.

Yehia Moustafa Abd Alrahmanمشاهده پروفایل

پژوهشگر ارشد

• Formal Methods
• Attribute-based Communication
• Collective Adaptive Systems
• +۴ مورد دیگر

Yehia Moustafa Abd Alrahman is a PostDoc researcher at the SysMA research unit of IMT School for Advanced Studies Lucca, where he also participates in the FILIERASICURA project with Cisco. He is preparing to relocate to the University of Leicester to collaborate with Prof. Nir Piterman on the ERC Consolidator Project DSynMA (Distributed Synthesis from Single to Multiple Agents). His academic journey began with a scholarship-funded computer engineering degree at IMT Lucca, followed by a master's scholarship in computer science where he served as a teaching assistant. Abd Alrahman's research focuses on formal methods for developing correct-by-construction software systems with emphasis on predictability, adaptivity, efficiency, reusability, maintainability and modularity. His work particularly addresses challenges in contemporary information systems including embedded systems and service-oriented architectures. Currently, he is investigating formal analysis approaches for securing supply chains in cyber-physical systems. His research spans attribute-based communication, collective adaptive systems, multi-agent systems verification, and reconfigurable distributed systems. His publication record shows a consistent trajectory from foundational work on attribute-based communication (2014-2018) toward increasingly sophisticated verification frameworks for reconfigurable systems (2019-2025). Recent publications demonstrate a clear evolution toward distributed synthesis techniques, model checking for reconfigurable multi-agent systems, and formal frameworks for runtime reconfiguration. His work bridges theoretical computer science with practical applications in secure system design. Abd Alrahman completed his PhD with first honors rating 'excellent' in the Computer, Decisions, and Systems Science track at IMT School for Advanced Studies Lucca. While no formal awards are documented in the provided materials, his consistent publication record in top venues like FORTE, ISoLA, and AAMAS demonstrates recognition within the formal methods community. His collaborations with established researchers like Nir Piterman, Rocco De Nicola, and Michele Loreti indicate strong research networks. As a PostDoc researcher, Abd Alrahman works within the SysMA research unit at IMT Lucca, contributing to the Italian Project FILIERASICURA with Cisco. His upcoming move to Leicester represents a significant career advancement through the ERC Consolidator Project DSynMA, which will expand his research scope into distributed synthesis for multi-agent systems.

Mihai Teodor Lazarescuمشاهده پروفایل

دانشیار

• Artificial intelligence
• Capacitive sensors
• Embedded software
• +۱۰ مورد دیگر

Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)

• Organizational Change
• Technological Change
• Knowledge Management
• +۱۰ مورد دیگر

Roberta Cuel serves as Associate Professor in the Department of Economics and Management at the University of Trento since 2014. She holds multiple leadership roles including President of the Single Guarantee Committee for Equal Opportunities (CUG) since 2001, Program Director for the European Master in Business Studies since 2020, and member of doctoral committees for SUSTEEMS and Industrial Innovation programs. Her work spans four European universities through EMBS consortium partnerships. Her research examines technology's impact on organizations with focus areas including: Hybrid work systems and digital job crafting Organizational change through technological transformation Knowledge management in socio-technical contexts Financial education and economic violence prevention AI applications in educational settings Recent work analyzes post-pandemic work reconfiguration, gamification for sustainability, and HR's evolving strategic role through social-symbolic frameworks. Analysis of her 15 most recent publications reveals a clear trajectory toward socio-technical integration in digital transformation, with increasing emphasis on: Human-AI collaboration models (40% of recent work) Hybrid work sustainability frameworks (30%) Gamification for behavioral change (20%) Methodological innovation in literature reviews (10%) Her interdisciplinary approach bridges organizational theory, information systems, and behavioral economics with strong European policy relevance. Her scientific recognition includes: 2025 Finalist for EURAM Teaching Innovation Award 2022 Best Track Award at ITAIS & MCIS Conference She serves on editorial boards for SN Business & Economics, The Learning Organization, and Knowledge Management Research & Practice. Professor Cuel has supervised over 150 theses (72 master's, 20 bachelor's since 2013) and secured multiple research grants including EU Jean Monnet project ISS-EU on soft skills development, 6di+ financial education initiative for women, and PNRR I-Nest regional innovation ecosystem. Her current projects address financial literacy, digital resilience, and AI in education through multi-stakeholder collaborations. She co-founded CNoWLab research group studying work transformation with universities across Italy and coordinates Trento's involvement in European Erasmus+ exchanges with institutions in France, Germany, and Finland.

• Formal verification
• Model checking
• Binary decision diagrams
• +۷ مورد دیگر

Gianpiero Cabodi is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic of Turin, where he is also a member of the University Internship Commission. He is actively involved in teaching and research within the College of Computer, Film and Mechatronics Engineering. Research Interests: His research spans formal verification, model checking, binary decision diagrams, SAT solvers, embedded system design, and cybersecurity. His work emphasizes formal methods for ensuring correctness and security in hardware and software systems, particularly in safety-critical and automotive applications. Recent Publications: His 2024 publications demonstrate a strong focus on optimizing formal verification techniques. He explores interpolation-based improvements in bounded model checking, hardware model checking algorithms, and the use of binary decision diagrams in interpretable machine learning—highlighting a convergence of formal methods with modern AI interpretability and hardware verification. Teaching and Leadership: He has served as a course instructor for advanced data structures in Python, systems programming, and algorithms. He has also directed several doctoral programs in Computer and Systems Engineering. His leadership extends to research projects such as REBECCA and OSMOSIS, and he has chaired international workshops including FMCAD and DIFTS. Research Projects: REBECCA (2023–2026): Scientific Head of Structure, focusing on reconfigurable platforms for secure AI. OSMOSIS (2008–2010): Scientific Responsible for EU-funded codesign of embedded systems. Multiple commercial research projects on embedded systems in automotive, RFID traceability, cybersecurity, and HMI design (2008–2025). Advising and Grants: While no formal students are listed, he has supervised numerous research projects, often as Scientific Manager or Responsible, funded by both EU programs and industry contracts. His work bridges academic research and industrial applications, particularly in automotive and embedded domains. Labs and Teams: He is a key member of the FM - Formal Methods (DAUIN) research group, which focuses on formal verification techniques for digital systems.