جست‌وجوی استاد و پژوهشگر

Daniele Ielminiمشاهده پروفایل

استاد

• Non-volatile memory technologies
• Resistive switching memory (RRAM)
• Phase change memory (PCM)
• +۵ مورد دیگر

Daniele Ielmini is a Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy, where he leads research in non-volatile memory technologies and neuromorphic computing. He received his Laurea (with merit) and Ph.D. in Nuclear Engineering from Politecnico di Milano in 1995 and 2000, respectively, and has held visiting positions at Intel Corporation (2006), Stanford University (2006), and the University of Illinois at Urbana-Champaign (2010). His research focuses on the modeling and characterization of non-volatile memories, including nanocrystal memory, charge trap memory, phase change memory (PCM), resistive switching memory (RRAM), and spin-transfer torque magnetic memory (STT-MRAM). He has co-edited the book 'Resistive switching – from fundamental redox-processes to device applications' and published over 300 papers with more than 10,000 citations and an H-index of 69 (Scopus, September 2023). Prof. Ielmini's recent publications demonstrate a strong trend toward in-memory computing and neuromorphic applications, with particular emphasis on closed-loop analog computing architectures, reservoir computing with 2D materials, and hardware security implementations using emerging memory technologies. His work bridges fundamental device physics with practical computing applications, especially for energy-efficient AI acceleration. Intel Outstanding Researcher Award (2013) ERC Consolidator Grant (2014) IEEE-EDS Paul Rappaport Award (2015) Fellow of the IEEE Prof. Ielmini leads multiple ERC-funded projects including SHANNON (Secure Hardware with Advanced Nonvolatile memories), NEURO2D (neuromorphic systems based on reservoir computing in MoS2), and ANIMATE (closed-loop in-memory computing). His research group includes post-doctoral researchers, PhD students, and M.Sc. students working on various aspects of emerging memory technologies and their applications. He serves as Associate Editor for IEEE Trans. Nanotechnology and Semiconductor Science and Technology (IOP), and has served in several Technical Subcommittees of international conferences including IEEE-IEDM, IEEE-IRPS, and IEEE-ISCAS. His laboratory at Politecnico di Milano is equipped with advanced semiconductor device testing equipment including probe-stations, semiconductor parameter analyzers, high-speed waveform generators, and other specialized instruments for nano-electronic research. The lab collaborates with major semiconductor companies including Micron Technology Inc. and STMicroelectronics, as well as participating in national and international research projects.

• Advanced Manufacturing
• Sustainable Manufacturing
• Industry 5.0
• +۳ مورد دیگر

Alessandro Simeone is an Associate Professor at Politecnico di Torino, affiliated with the Department of Management and Production Engineering (DIGEP) and College of Management and Production Engineering. His research focuses on advanced and sustainable manufacturing with particular emphasis on Industry 5.0, human-centric approaches, and AI integration. Faculty member since 2021 Researcher in Manufacturing Technologies and Systems Teaching roles across Biomedical Engineering and Management Engineering programs Key research areas include sustainable manufacturing systems, inclusive production strategies, and AI-driven process optimization, with specific attention to SDG goals 3 (Health), 8 (Decent Work), 10 (Equality), and 13 (Climate Action). His recent publications demonstrate strong focus on AI applications for manufacturing inclusivity, particularly for neurodiverse operators, and sustainable production optimization. Notable works include AI-based assistance systems for assembly and smart approaches to waste reduction. Teaching activities span multiple courses across academic years 2021-2025, including: Sustainable Manufacturing (2024-2025) Manufacturing Technologies and Processes (Biomedical Engineering) Analysis and Management of Production Systems Designing Diversity PhD course collaboration As thesis supervisor for Yuchen Fan's PhD in Management and Production Engineering (39th cycle, 2023-ongoing), he continues to shape next-generation manufacturing research.

• Cloud Computing
• Fog Computing
• SDN Microservices
• +۷ مورد دیگر

Giuseppe Di Modica is an Associate Professor at the Department of Computer Science - Science and Engineering, University of Bologna. His research focuses on cloud computing, edge/fog systems, IoT, and digital twins for industrial applications. He has contributed to frameworks like IoTwins and H2F, addressing challenges in distributed computing, microservice orchestration, and latency optimization in SDN architectures. His work spans containerized application management, geo-distributed big data processing, and security in serverless environments. Key research themes include: Cloud-edge continuum orchestration IoT service placement in fog environments SDN microservice architecture design Lightweight virtualization for Industry 4.0 Validation of performance models for microservices His publications emphasize practical implementations, such as the Torch orchestrator for multi-cloud deployments, and frameworks for fault-aware cloud provisioning. Ongoing work explores digital twin platforms for manufacturing and smart facility management, leveraging edge-cloud synergy and real-time data analytics. He holds a permanent academic position with no part-time designation noted. Contact: giuseppe.dimodica@unibo.it, +39 051 20 9 3866.

Robert René Maria Birkeمشاهده پروفایل

استادیار

• Virtual Resource Management
• Network Design
• Workload Characterization
• +۶ مورد دیگر

Robert René Maria Birke is a tenured assistant professor in the Department of Computer Science at the University of Turin, leading research in the Parallel Computing group. His expertise spans virtual resource management, network design, workload characterization, and optimization of AI/big-data applications. Previously, he served as a visiting researcher at IBM Research Zurich and Principal Scientist at ABB Corporate Research, combining industry experience with academic rigor since earning his Ph.D. from Politecnico di Torino in 2009. His educational background includes: Ph.D. in Electronics and Communications Engineering, Politecnico di Torino (2009) Dr. Birke's research centers on systems-level challenges in distributed AI, with current projects investigating federated learning architectures, confidential computing via Trusted Execution Environments, and RISC-V processor optimizations for decentralized machine learning. His work bridges theoretical foundations with practical deployments, particularly in edge computing scenarios and high-performance data synthesis applications. Recent publications reveal growing emphasis on securing generative models against forgery attacks and optimizing tabular data synthesis techniques. Analysis of his 15 most recent publications (2024-2026) shows dominant themes in confidential federated learning (33% of works), RISC-V system optimizations (27%), and generative model security/synthesis (40%). This output spans premier venues including IEEE Transactions, ACM Computing Surveys, and SIGCOMM-affiliated conferences, demonstrating consistent contributions to systems-AI intersection research. Professional recognition includes: IEEE Senior Member While the text confirms extensive collaboration through co-authorships (notably with Marco Aldinucci, Lydia Chen, and Giulio Malenza), no specific student advisees or grant details are provided. His work appears embedded within European initiatives like ICS and EUPilot projects, focusing on compute continuum challenges. Dr. Birke actively contributes to the Parallel Computing group's mission through projects including HPC4AI@UNITO (datacenter digital twins) and Cross-Facility Federated Learning frameworks. His research ecosystem involves multi-institutional teams across Italy, Switzerland, and the EU, with recent talks addressing FLaaS implementations and generative model impacts on system design.

• Road Safety
• Driver Behaviour
• Driving Simulation
• +۶ مورد دیگر

Marco Bassani is a Full Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin. He is a member of the SISCON Interdepartmental Center for Infrastructure Safety and actively participates in internationalization initiatives. His research focuses on road safety, driver behavior, driving simulation, road geometry, and sustainable materials including recycled aggregates stabilized with geopolymers. Scientific Branch: CEAR-03/A (Roads, Railways, and Airports) ERC Sector: PE8_3 (Civil Engineering, Waste Treatment) SDG Contributions: Climate Action, Sustainable Cities, Good Health His recent research projects include: GENIUS : Next-generation driver-vehicle interaction for automated systems (2024-2027) ARCADE : Accident risk reduction for vulnerable road users (2023-2025) DIRECTIONS : Driver-road interaction on future infrastructures (2022-2024) Scientific Recognitions: Award at 3rd European Symposium on Bituminous Materials (1999) Advisory Board Member, Transportation Research Board (2020-2022) Editorial Board Member, Transportation Research Part F (2023-) He has supervised numerous PhD students and taught courses on predictive road safety methods, experimental design, and transportation infrastructure at both undergraduate and graduate levels since 2010.

• Biomechanics
• Robotics
• Motor Control
• +۶ مورد دیگر

Carlotta Mummolo is an Associate Professor at the Department of Mechanics, Mathematics & Management at Politecnico di Bari. Her research focuses on biomechanics, robotics, and motor control with applications in dynamic walking, balance stability, and aging-related locomotive decline. Current affiliation: Politecnico di Bari (Department of Mechanics, Mathematics & Management) Academic rank: Associate Professor Research areas: Biomechanics, Robotics, Human-Robot Interaction Mummolo's work addresses the characterization of human balance through computational models, soft contact effects in legged systems, and transdisciplinary studies of aging-related locomotion changes. She explores stability criteria for biped robots and develops metrics for motor task difficulty. Her recent research trends include integrating reinforcement learning with muscle control, analyzing gait stability in aging populations, and optimizing contact-dependent balance in robotic systems. Key methodologies involve analytical-stochastic modeling and state-space characterization of dynamic systems. Carlotta Mummolo's publications demonstrate interdisciplinary collaboration between robotics and human biomechanics, with implications for rehabilitation technologies and humanoid robot design.

Pietro Aricoمشاهده پروفایل

استادیار

• Brain-Computer Interfaces (BCI)
• Bioengineering
• Signal Processing
• +۱۲ مورد دیگر

Pietro Arico is an Assistant Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome, and Chief Technology Officer at BrainSigns. He holds a PhD in Bioengineering from University of Bologna (2014) and an M.Sc. in Biomedical Engineering from Sapienza University of Rome (2010). Biomedical Engineering Education Expertise in Brain-Computer Interfaces (BCI) Specializes in biosignal processing and machine learning His research focuses on: Passive BCI Systems: Real-time assessment of mental states (workload, attention, stress) using EEG, ECG, and other biosignals in operational environments like driving and aviation. Signal Processing Innovation: Development of algorithms for artifact removal and feature extraction in non-laboratory settings. Hybrid BCI Applications: Integration of EEG and EMG for rehabilitation systems targeting post-stroke patients. Recent work trends emphasize: Real-time mental workload monitoring in clinical and automotive contexts. Artifact correction techniques for EEG data in naturalistic environments. Neurophysiological characterization of mixed reality embodiment. Scientific awards include: 2024 - MINDTOOTH paper selected for AIIC National Conference 2014 - Award 'Massimo Grattarola' for BCI research 2014 - Scientific Prize 'I Guidoniani' for mental load studies 2013 - Finalist for Scientific Award 'I Guidoniani' He teaches Biosignal Processing , Biological System Models , and Biosignal Processing and Electromagnetic Fields in Sapienza's MSc programs in Biomedical Engineering and Medicine and Surgery HT.