Dr. Alice Cervellieri, PolytecnicĀ of Turin, Italy
Dr. Alice Cervellieri is an accomplished researcher and academic currently collaborating with the Polytechnic of Turin on innovative applications of artificial intelligence in the medical field. Her professional expertise spans energy and comfort analysis, technical physics, and construction technology. She also serves as an Energy Certifier and Visiting Professor, with a notable role as a mentor in Harvard University’s mentorship program since 2021.
Professional Profile:
Suitability for the Best Researcher Award
Dr. Alice Cervellieri is an exceptional researcher and academic whose work spans multiple disciplines, including artificial intelligence, energy analysis, and construction technology. With extensive experience in structural reinforcement, agricultural mechanics, and energy-efficient building systems, Dr. Alice Cervellieri’s innovative contributions have led to significant advancements in both academia and industry. Her involvement in international projects, such as the EU H2020 “ENCORE” initiative, demonstrates her global impact on sustainable building practices. As a member of key IEEE IES Technical Committees and a mentor in Harvard Universityās mentorship program, she consistently fosters cutting-edge research and technological solutions. Dr. Alice Cervellieriās work, recognized at top conferences and in SCOPUS-indexed publications, makes her a highly suitable candidate for the Best Researcher Award.
Training and Academic Path:
- Degree in Civil EngineeringĀ – University of Engineering, Bologna (2005)
- Masterās Degree in Civil EngineeringĀ – University of Engineering, Bologna (2011)
- Degree in Science of Mediation LanguageĀ – University of Scienze della Mediazione Linguistica (2019)
Academic Work Experience:
Dr. Alice Cervellieri is a multidisciplinary researcher and educator with extensive experience in architectural design, energy efficiency, agricultural mechanics, and dynamic simulations. She has contributed to various high-impact projects, including structural restoration and seismic engineering at the University of Engineering in Florence and the EU H2020 project āENCOREā at the Polytechnic University of Marche, focusing on energy and comfort in residential buildings. Dr. Cervellieri has served as a visiting professor at the Catholic University of Manizales in Colombia and mentored for the Harvard Mentorship Project since 2021. Her academic engagements include teaching the “Energy Certifier” course for Emilia Romagna Region and participating in prestigious summer schools at institutions such as the University of Warwick, IMT Lucca, and the University of Bologna. Dr. Cervellieri is also a certified translator for the Consulate of the Embassy of the Republic of Cuba and has completed professional training in digital transformation technologies through MIT.
International Involvement:
Dr. Alice Cervellieri is also involved in numerous international research projects, notably in Intelligent Transportation Systems (ITS) and building efficiency monitoring. She has presented her work at prestigious international conferences, including IEEE International Conferences and the AABC Europe Advanced Automotive Battery Conference.
Awards and Recognition:
Her multidisciplinary contributions highlight her dedication to innovation, sustainability, and academia. She continues to influence fields ranging from construction technology to AI-driven solutions in healthcare.
Assignments in International Committees:
Dr. Alice Cervellieri serves on key technical committees, such as IEEE IES Technical Committees on Factory Automation and Industrial Agents, where she contributes to the development of cutting-edge technologies in these sectors.
Professional Committees:
- Member, IEEE IES Technical Committee on Factory Automation (2023āPresent)
- Member, IEEE IES Technical Committee on Industrial Agents (2023āPresent)
Publications and Conferences:
Dr. Alice Cervellieri has presented at prestigious conferences such as IEEE ETFA, IEEE INDIN, and LASMCER and is a co-author of SCOPUS-indexed publications, including works on UAVs for infrastructure inspection, cyber-physical systems for building efficiency, and holonic management trees.
Publication Top Notes:
1. The Double Propeller Ducted-Fan, An UAV for Safe Infrastructure Inspection and Human-Interaction
- Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020)
- Date: 08-11 September 2020
- Authors: Bonci Andrea, Cervellieri Alice, Longhi Sauro, Nabissi Giacomo, Scala Giuseppe Antonio
2. Innovative Approach in Cyber Physical System for Building Efficiency Monitoring
- Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
- Date: 07-10 September 2021
- Authors: Bonci Andrea, Cervellieri Alice, Pirani Massimiliano
3. On the Synthesis of Holonic Management Trees
- Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
- Date: 07-10 September 2021
- Authors: Pirani Massimiliano, Bonci Andrea, Cervellieri Alice, Longhi Sauro
4. BrotwegāA Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes
- Book Chapter: In Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production: International Mid-Term Conference 2019 of the Italian Association of Agricultural Engineering (AIIA)
- Publisher: Springer International Publishing
- Authors: Sabrina Mayr, Riccardo Brozzi, Alice Cervellieri, Thomas Desaler, Raimondo Gallo, Josef Gamper, Bernhard Geier, Laurin Holzner, Pasqualina Sacco, Fabrizio Mazzetto
5. The Development of A Small Stripper Header for Cereal Harvesting in Steep Mountain Environments
- Conference: In Biosystem Engineering for Sustainable Agriculture, Forestry and Food Production: International Mid-Term Conference 2019
- Date: September 12-13 2019
- Conference Proceedings: Unibas
- Authors: Laurin Holzner, Riccardo Brozzi, Alice Cervellieri, Thomas Desaler, Raimondo Gallo, Josef Gamper, … & Fabrizio Mazzetto
6. A Lithium-Ion Battery Remaining Useful Life Prediction Method with the Invariant Capacity Analysis Based on a New Algorithm
- Journal: Journal of Electrical System
- Year: 2024
- Authors: Cervellieri Alice
7. Advanced SOC Prediction for Lithium-Ion Batteries Using FNN Machine Learning Techniques: A Bayesian Regularization Training Approach
- Journal: Journal of Electrical System
- Year: 2024
- Authors: Cervellieri Alice
8. Advanced State of Health Prediction for Lithium-Ion Batteries Using Capacity Estimation and Feedforward Neural Networks: A Machine Learning Approach
- Journal: Journal of Electrical System
- Year: 2024
- Authors: Cervellieri Alice
9. A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
- Journal: Energies
- Year: 2024
- Authors: Cervellieri Alice