Dr. Alejandro A. Franco is a Full Professor at the Université de Picardie Jules Verne in the city of Amiens, France, and an Honorary Member of the Institut Universitaire de France. He has 23 years of experience in the field of multiscale modeling of electrochemical energy devices. He leads the Theory Open Platform at the ALISTORE European Research Institute. Prof. Franco has been awarded an ERC consolidator grant for his pioneering ARTISTIC project, focusing on battery manufacturing digitalization through multiscale modeling and artificial intelligence. Additionally, he has received an ERC Proof of Concept grant for his innovative SMARTISTIC project, aimed at assisting battery manufacturers with mixed reality technology. He has actively participated in numerous European projects and bilateral collaborations with the battery and fuel cell industry. Prof. Franco serves as the Chairman of the Expert Group "Digitalization, Measurement Methods, and Quality" in the European LiPLANET battery pilot lines network. In 2019, he was honored with the French Prize for Pedagogy Innovation for his utilization of Virtual Reality in teaching battery sciences. He has an extensive publication record, including over 150 publications, 12 invited book chapters, 3 edited books, and 23 patents. Prof. Franco is frequently invited to deliver plenary, keynote, and invited oral presentations in international conferences, totaling more than 135 invited lectures, as well as over 60 invited seminars in prestigious universities, institutes, and companies. He also coordinates the Erasmus+ i-MESC International Master Programme (Interdisciplinarity in Materials for Energy Storage and Conversion). Moreover, he is the co-founder and Chief Technology Officer of a startup under creation that offers unique digital solutions, leveraging the pioneering research and expertise of his research group, to strongly support the battery manufacturing industry.
Present supervised Postdocs, PhD students, MSc. students and engineers
Diego (Peru) develops advanced deep learning models of battery manufacturing processes.
Javier (Spain) develops innovative software to support battery manufacturing industry.
Franco (Argentina) develops advanced physics-based models of battery manufacturing processes.
Open postdoctoral position on experimental battery manufacturing. You can be this person. Apply !
Mohammed (Yemen) develops experimentally validated physical models of solid state battery manufacturing (MCSA fellow cofunded by Umicore).
Antonio (Italy) combines chemistry informatics with materials synthesis to discover battery materials for IoT applications (co-supervised by Dr. Rosa Palacin -ICMAB- and Prof. Clare Grey -University of Cambridge-).
Dennis (Germany) develops new physics-based models of solid state battery electrode manufacturing.
Tan (Vietnam) develops machine learning models of Solid Oxide Fuel Cell electrode manufacturing (co-supervised by Prof. Olivier Guillon -FZ Jülich-).
Utkarsh (India) combines AI with physics-based simulations to optimize lithium ion battery electrode manufacturing (MCSA fellow).
Soorya (India) combines physics-based simulations with AI to optimize the manufacturing process of Sodium Ion and Solid State Battery electrodes (collaboration with IFPEN).
Rashen (Philippines) develops physical and machine learning models of the assembly process of Polymer Electrolyte Membrane Fuel Cells (MCSA fellow; collaboration with the company AC2T, Austria).
Xingyu (China) develops physics-based simulators of the membrane aging in Polymer Electrolyte Membrane Fuel Cells (MCSA fellow; collaboration with the company AVL, Austria).
Imelda (Mexico) develops advanced electrochemical models of Sodium Ion and Solid State Battery electrodes and cells (collaboration with IFPEN).
Pei (China) develops physics-based models of dry manufacturing processes of battery electrodes (co-supervised by Prof. Paul Vigneaux -LAMFA, UPJV-).
Emmanuel (Nigeria) develops models able to simulate the electrolyte infiltration in lithium ion battery cells (MESC+ programme fellow).
Jia (China) develops innovative mesoscale models describing electrochemical and transport processes in redox flow batteries.
Hassna (Morocco) develops text mining algorithms to automatically extract battery data from scientific publications (co-supervised by Prof. Patrik Johansson -Chalmers University of Technology-).
Open position for a pedagogical engineer with expertise on digital technologies (i-MESC Erasmus+ MSc. programme). It can be you ! Apply !
Some team photos
October 2023
September 2022
November 2021
July 2020
December 2019
April 2019
July 2018
February 2018
February 2017
July 2016
February 2016
January 2016
June 2014
March 2014
2011
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