Team

TEAM FRANCO

  Find out who makes it all happen. Prof. Franco's team is made up of talented postdocs, engineers, PhD and Master students. The team composes multiple nationalities and scientific backgrounds. If you are interested to join Prof. Franco's team, send him an e-mail with your CV, motivation letter and three referees' names.

The Team

Prof. Alejandro A. Franco

Principal Investigator

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

Dr. Diego Galvez

Postdoctoral researcher

Diego (Peru) develops advanced deep learning models of battery manufacturing processes.

Dr. Javier F. Troncoso

Postdoctoral researcher

Javier (Spain) develops innovative software to support battery manufacturing industry.

Dr. Franco Zanotto

Postdoctoral researcher

Franco (Argentina) develops advanced physics-based models of battery manufacturing processes.

Dr. Francisco Fernandez

Postdoctoral researcher (starting soon)

Francisco (Argentina) combines physics based simulations with machine learning models for accelerated optimization of battery manufacturing. 

Dr. Name

Postdoctoral researcher

Open postdoctoral position on experimental battery manufacturing. You can be this person. Apply !

Mohammed Al-Abdali

PhD student

Mohammed (Yemen) develops experimentally validated physical models of solid state battery manufacturing (MCSA fellow cofunded by Umicore).

Antonio Carnevali

PhD student

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-).

Amina El-Malki

PhD student

Amina (Morocco) works in the development of machine learning models for the lifetime prediction of industrial lithium ion battery cells (collaboration with Renault).

Dennis Weitze

PhD student

Dennis (Germany) develops new physics-based models of solid state battery electrode manufacturing.

Tan Le Dinh

PhD student

Tan (Vietnam) develops machine learning models of Solid Oxide Fuel Cell electrode manufacturing (co-supervised by Prof. Olivier Guillon -FZ Jülich-).

Utkarsh Vijay

PhD student

Utkarsh (India) combines AI with physics-based simulations to optimize lithium ion battery electrode manufacturing (MCSA fellow).

Siwar Ben Hadj Ali

PhD student

Siwar (Tunisia) works in the modeling of electrochemistry-mechanics in operating solid state battery electrodes (MCSA fellow, co-funded by Umicore).

Soorya Saravanan

PhD student

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 Lou Omongos

PhD student

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 Zhang

PhD student

Xingyu (China) develops physics-based simulators of the membrane aging in Polymer Electrolyte Membrane Fuel Cells (MCSA fellow; collaboration with the company AVL, Austria).

Sourab Barath

PhD student

Sourab (India) develops advanced physics-based models to simulate and optimize the manufacturing process of Polymer Electrolyte Membrane Fuel Cell electrodes (MCSA fellow; collaboration with the company Freundenberg, Germany).

Imelda Cardenas

PhD student

Imelda (Mexico) develops advanced electrochemical models of Sodium Ion and Solid State Battery electrodes and cells (collaboration with IFPEN).

Pei Sun

PhD student

Pei (China) develops physics-based models of dry manufacturing processes of  battery electrodes (co-supervised by Prof. Paul Vigneaux -LAMFA, UPJV-).

Emmanuel Yerumoh

MSc. student

Emmanuel (Nigeria) develops models able to simulate the electrolyte infiltration in lithium ion battery cells (MESC+ programme fellow).

Mengda Xing

PhD student

Mengda (China) develops advanced AI models for battery cell performance optimization. Co-supervised with Prof. Jean-Marie Laignez (CRIL, Université d'Artois). 

Jia Yu

PhD student

Jia (China) develops innovative mesoscale models describing electrochemical and transport processes in redox flow batteries.

Hassna El-Bousiydy

PhD student

Hassna (Morocco) develops text mining algorithms to automatically extract battery data from scientific publications (co-supervised by Prof. Patrik Johansson -Chalmers University of Technology-).

Name

Engineer

Open position for a pedagogical engineer with expertise on digital technologies (i-MESC Erasmus+ MSc. programme). It can be you ! Apply !

Name

PhD student

PhD student starting soon in collaboration with industry (fulfilled position).

Name

PhD student

PhD student starting soon in collaboration with industry (fulfilled position).

Past supervised Postdocs, PhD students, MSc. students and engineers

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