Dottorato in Ingegneria Informatica E Dei Sistemi , 37^o ciclo (2021-2024)

Dottorato concluso nel 2025

Profilo

Argomento di ricerca

Innovative AI-Enabled Digital Twins for Smart Battery Management: Enhancing Battery Life and Performance in Smart Vehicles¿

Interessi di ricerca

Controls and system engineering

Data science, Computer vision and AI

Life sciences

Software engineering and Mobile computing

Biografia

Khaled S. S. Alamin, a Ph.D. researcher at Politecnico di Torino, is advancing the future of battery technology by pioneering machine learning and digital twin frameworks. His core research enhances State of Charge (SOC), State of Energy (SOE), and State of Health (SOH) estimation for electric vehicle (EV) batteries. By building sophisticated data-driven models and feature engineering, and extending these with federated learning, his work safeguards data privacy and optimizes communication across distributed systems. This approach empowers EVs to autonomously predict SOC and SOE, adapting seamlessly to each battery’s unique health status through cloud-based retraining. The result is longer battery lifespans and a leap in EV efficiency, contributing to a more sustainable, advanced future in mobility.
Beyond battery technology, his expertise extends to predictive maintenance across industries. He has developed deep learning models for semiconductor manufacturing and collaborated with industrial partners on elevator data analysis using vibration sensors, incorporating anomaly detection techniques such as autoencoders.

Didattica

Insegnamenti

Corso di laurea magistrale

Challenge@PoliTo by Students - CTE NEXT Digital Twin. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

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Corso di laurea di 1° livello

Algorithms and Programming. A.A. 2023/24, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso

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Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Alamin, Khaled Sidahmed Sidahmed (2025)
Advancing Electric Vehicle Battery Management: A Data-Driven Digital Twin Approach for Real-Time Monitoring and Performance Enhancement. relatore: VINCO, SARA; , 37. XXXVII Ciclo, P.: 178
Doctoral Thesis
Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; ... (2024)
Model-Driven Feature Engineering for Data-Driven Battery SOH Model. In: Design, Automation and Test in Europe Conference 2024, Valencia (ESP), 25-27 March 2024. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding)
Alamin, KHALED SIDAHMED SIDAHMED; Appello, Davide; Beghi, Alessandro; Dall’Ora, Nicola; ... (2024)
An AI-Enabled Framework for Smart Semiconductor Manufacturing. In: Design, Automation and Test in Europe Conference (DATE 2024), Valencia (Spain), 25 - 27 March 2024. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding)
Alamin, Khaled Sidahmed Sidahmed; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, ... (2023)
Digital Twins for Electric Vehicle SoX Battery Modeling: Status and Proposed Advancements. In: AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Modena, Italy, 17-19 July 2023, pp. 1-6. ISBN: 978-88-87237-57-3
Contributo in Atti di Convegno (Proceeding)
Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele ... (2023)
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. In: IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Vienna (AUT), 07-08 August 2023, pp. 1-6. ISBN: 979-8-3503-1175-4
Contributo in Atti di Convegno (Proceeding)
Dall’Ora, Nicola; Alamin, KHALED SIDAHMED SIDAHMED; Fraccaroli, Enrico; Poncino, ... (2022)
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 10, pp. 46-59. ISSN 2168-6750
Contributo su Rivista
Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Gaiardelli, Sebastiano; Spellini, ... (2022)
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. In: IEEE Latin-American Test Symposium, Montevideo (Uruguay), 5th - 8th September 2022, pp. 1-6. ISBN: 978-1-6654-5707-1
Contributo in Atti di Convegno (Proceeding)
Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, ... (2022)
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. In: IEEE International Conference on Omin-Layer Intelligent Systems (COINS), Barcelona (Spagna), 1-3 August 2022, pp. 1-6. ISBN: 978-1-6654-8356-8
Contributo in Atti di Convegno (Proceeding)
Alamin, K.; Vinco, S.; Poncino, M.; Dall’Ora, N.; Fraccaroli, E.; Quaglia, D. (2021)
Digital Twin Extension with Extra-Functional Properties. In: Design Automation in Europe (DATE) Conference, Virtual, 01-05 February 2021, pp. 434-439
Contributo in Atti di Convegno (Proceeding)

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Khaled Sidahmed Sidahmed Alamin

Dottorato in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)

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