Matthieu Garcin and Martino Grasselli, professors at ESILV engineering school, have had their research into financial modelling and rough volatility published as an article in a highly-regarded web of science applied mathematics journal. Matthieu Garcin and Martino Grasselli are professors in Financial Engineering at ESILV and members of the Finance Group at De Vinci Research […]
Energy efficiency improvement in essential industries such as the food sector is a major challenge for the climate agenda. At the center of the energy transition, the industry players must look for new energy-saving solutions and technologies. To help them improve their efficiency, Pascal Clain, professor and researcher at ESILV, brings new information on gas […]
The applications of big data and machine learning are near-endless when it comes to tourism intelligence. Theo, a data scientist who graduated from ESILV, is the co-author of a research paper on big data tourism prediction and analysis. The paper “Hidden Markov Model to Predict Tourists Visited Places” co-authored by Théo Demessance, ESILV alumni, Chongke […]
Unleash the subconscious power through AI to explore high-dimensional space and be connected to Mother Earth even more intensively as a human being. It’s the aim of The Wandering Mind, a dream research project that bridges art and science at De Vinci Innovation Center. The Pole Leonard de Vinci’s transdisciplinary research lab was home to MIT graduates […]
Martino Grasselli, a doctor in Quantitative Finance and professor-researcher at ESILV School of Engineering, is the co-author of an article titled “Fast Hybrid Schemes for Fractional Riccati Equations (Rough Is Not so Tough)”, published in the international journal “Mathematics of Operations Research”. Martino Grasselli is the head of the Finance Group at the De Vinci Research Center […]
DVRC’s Francesco Salvarani’s contribution to the project on aerosol transmission of Covid-19 is part of a scientific partnership with the Swiss Federal Institute of Technology in Zurich (“ETH Zürich”). Francesco Salvarani, a professor in Mechanics at ESILV Engineering School, member of the De Vinci Research Center (DVRC), recently submitted a proposal for a research project on […]
For many years now, ESILV research professors have focused on understanding and improving the tourism business through big data, primarily through the work being carried out by the De Vinci Research Center. In this context, the research paper “Indicators for Measuring Tourist Mobility”, co-authored by two professors and a student from ESILV, was presented at […]
Thanks to this new Research Chair in Bayesian Neural Networks, ReciTAL, the French AI startup specialised in Document Intelligence solutions, and ESILV are joining forces and expand their expertise in the field of Artificial Intelligence. One of the criticisms about AI is the incapacity of current ML models to represent the concept of uncertainty accurately. […]
Soumaya Sabry, a fifth-year student of ESILV and Ecole Polytechnique double-degree program, had her article on “People identity learning in HRI through an incremental multimodal approach” published as a part of IEEE International Conference on Robot & Human Interactive Communication. Soumaya’s contribution was featured at the Cognitive Robotics for Interaction (CIRCE) Workshop, hosted at the […]
An ESILV professor, Matthieu Garcin, is at the origin of two new studies focusing on the impact of COVID-19 on stock markets and the effects of the crisis on market efficiency. In these studies, Matthieu Garcin and his co-authors propose a new outlook on this financial crisis and an original method, outlining the chronology of […]
While still being a male-dominated industry, the Engineering Industry is counting more and more women. In fact, many female engineers are responsible for some of the greatest innovations in history throughout the years. Here is a non-exhaustive list of women engineers who did not hesitate to push the boundaries about what women could or could not […]
In a recent research paper entitled “ON PROFITABILITY OF NAKAMOTO DOUBLE SPEND“, using new mathematical proofs that he developed, Cyril Grunspan, Director of the Financial Engineering Programme at ESILV Graduate School of Engineering, demonstrates that the bitcoin’s network security is robust enough to require only 1 or 2 confirmations for average transactions. This hypothesis may […]