Daniele Jahier Pagliari

ERC sectors

SDG

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

PhD

• Optimized Execution of Neural Networks at the Edge and Neuromorphic Computing Systems. A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Hardware/Software codesign of flexible computing systems for edge AI (insegnamento su invito). A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Optimized execution of neural networks at the edge. A.A. 2023/24, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Optimized execution of neural networks at the edge. A.A. 2022/23, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Optimized execution of neural networks at the edge. A.A. 2021/22, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Computing Paradigms for Error-Tolerant Applications. A.A. 2020/21, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Computing Paradigms for Error-Tolerant Applications. A.A. 2019/20, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher

Master of Science

• Machine learning for IOT. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Titolare del corso
• Machine learning for IOT. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Programming techniques. A.A. 2023/24, AGRITECH ENGINEERING. Titolare del corso
• Machine learning for IOT. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Energy management for IoT. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Energy management for IoT. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for IOT. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Machine learning for IOT. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Energy management for IoT. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Energy management in mobile systems. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Energy management for IoT. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

• Computer sciences. A.A. 2025/26, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Titolare del corso
• Computer sciences. A.A. 2024/25, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Titolare del corso
• Tecnologie per IoT. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
• Tecnologie per IoT. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
• Laboratorio di tecnologie digitali per l'industria 4.0. A.A. 2021/22, TECNOLOGIE PER L'INDUSTRIA MANIFATTURIERA (CORSO PROFESSIONALIZZANTE). Collaboratore del corso
• Tecnologie per IoT. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
• Laboratorio di tecnologie digitali per l'industria 4.0. A.A. 2020/21, TECNOLOGIE PER L'INDUSTRIA MANIFATTURIERA (CORSO PROFESSIONALIZZANTE). Collaboratore del corso
• Tecnologie per IoT. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Tecnologie per IoT. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso

Projects funded by competitive calls

• HAL4SDV - Hardware Abstraction Layer for a European Software Defined Vehicle approach, (2024-2027) - Componente gruppo di Ricerca
  UE-funded research - JTI - KDT
• ISOLDE - High Performance, Safe, Secure, Open-Source Leveraged RISC-V Domain-Specific Ecosystems, (2023-2026) - Componente gruppo di Ricerca
  UE-funded research - JTI - KDT
• TRISTAN - Together for RISc-V Technology and ApplicatioNs, (2022-2025) - Componente gruppo di Ricerca
  UE-funded research - JTI - KDT
• AMBEATion - Analog/Mixed Signal Back End Design Automation based on Machine Learning and Artificial Intelligence Techniques, (2021-2025) - Responsabile Scientifico
  UE-funded research - H2020 - Excellent Science - Marie Curie
• 20529 - End-to-end digitalized production test beds, (2020-2021) - Responsabile Scientifico
  UE-funded research - EIT

Projects funded by commercial contracts

• MASAI - Map for damage Assessment with Satellite Artificial Intelligence, (2024-2024) - Responsabile Scientifico
  Commercial Research
• MASAI - Map for damage Assessment with Satellite Artificial Intelligence, (2024-2024) - Responsabile Scientifico
  Commercial Research
• Definizione e sviluppo di una piattaforma software per il supporto della produzione, (2020-2020) - Responsabile Scientifico
  Commercial Research

• Luca Benfenati. Programme in Ingegneria Informatica E Dei Sistemi (39^th cycle, 2023-in progress)
  Research subject: Latency-Optimized Inference for Large Language Models
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
• Mohamed Amine Hamdi. Programme in Ingegneria Informatica E Dei Sistemi (39^th cycle, 2023-in progress)
  Research subject: Optimizing Compilers for the Deployment of Complex Applications on Heterogeneous Edge Devices
  
  Computer architectures and Computer aided design
  Parallel and distributed systems, Quantum computing
  Computer architectures and Computer aided design
  Parallel and distributed systems, Quantum computing
• Beatrice Alessandra Motetti. Programme in Ingegneria Informatica E Dei Sistemi (39^th cycle, 2023-in progress)
  Research subject: Advanced Deep Learning Optimization for Extreme Edge Applications
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
• Giovanni Pollo. Programme in Ingegneria Informatica E Dei Sistemi (39^th cycle, 2023-in progress)
  Research subject: Design techniques for low-area digital circuits in industrial and medical applications
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
• Matteo Risso. Programme in Ingegneria Informatica E Dei Sistemi (37^th cycle, 2021-in progress)
  Research subject: Automatic hardware-aware design and optimization of deep learning models
  
  Computer architectures and Computer aided design
  Data science, Computer vision and AI
  Computer architectures and Computer aided design
  Data science, Computer vision and AI

• Hamdi, MOHAMED AMINE; Daghero, Francesco; Maria Sarda, Giuseppe; Van Delm, Josse; ... (In stampa)
  MATCH: Model-Aware TVM-Based Compilation for Heterogeneous Edge Devices. In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS. ISSN 0278-0070
  Contributo su Rivista
• Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste ... (2025)
  Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. In: International Conference on Image Processing, Applications and Systems (IPAS), Lyon (FRA), 09-11 January 2025. ISBN: 979-8-3315-0653-7
  Contributo in Atti di Convegno (Proceeding)
• Barri, Dalibor; Vacula, Patrik; Kote, Vlastimil; Nemazal, Jan; Vacula, Miloš; Pagliari, ... (2024)
  AMBEATion: New Algorithm for Generation IC Matched Structures with Respecting Linear and Non-linear Gradient Parameter Effects. In: 29th International Conference on Applied Electronics, AE 2024, Pilsen (CZ), 4-5 October 2024, pp. 1-4. ISSN 1803-7232. ISBN: 979-8-3503-5073-9
  Contributo in Atti di Convegno (Proceeding)
• Daghero, Francesco; Faraone, Gabriele; Grosso, Michelangelo; Pagliari, Daniele Jahier; ... (2024)
  Machine Learning-based feasibility estimation of digital blocks in BCD technology. In: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems, DTTIS 2024, Aix-En-Provence, France, 14-16 October 2024, pp. 1-6. ISBN: 979-8-3503-6312-8
  Contributo in Atti di Convegno (Proceeding)
• Ruggeri, Giuseppe; Andri, Renzo; Pagliari, Daniele Jahier; Cavigelli, Lukas (2024)
  Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. In: 2024 IEEE 42nd International Conference on Computer Design (ICCD), Milano (Italia), 18-20 November 2024, pp. 517-520. ISBN: 979-8-3503-8040-8
  Contributo in Atti di Convegno (Proceeding)