Mihir Durve is a researcher at the Center for Life Nano & Neuro Science (CLN2S), IIT Rome, specialising in deep learning-based computer vision for microfluidic analysis. He is currently involved in the EIC Pathfinder-funded iNSIGHT project, automating in-air capsule production for precision nutrition.
Research center
CLN²S@Sapienza
About
Education
Title: Ph.D. (Physics)
Institute: University of Trieste and ICTP
Location: Trieste
Country: Italy
From: 2016 To: 2020
Skills
Machine learning - Reinforcement learning, computer vision, deep learning
HPC computing - Fortran90, Python, PyTorch, TensorFlow
Statistical physics - Active matter systems, far from equilibrium system modelling
All Publications
2026
Durve M., Tucny J., Montessori A., Lauricella M., Succi S.
Representation of Typical Droplet Shapes in 2D Latent Space
Proceedings of the 35th IUPAP Conference on Computational Physics, Publisher: Springer Cham
Book Chapter
Book
2026
Durve M., Armiento S., Kamare B., Succi S., Mazzolai B., Meder F.
When Droplets Slide on Superhydrophobic Leaves
The Italian Soft Days Conference
Poster
Conference
2025
Orsini S., Lauricella M., Montessori A., Tiribocchi A., Durve M., Succi S., Persano L., Camposeo A., Pisignano D.
3D printing and artificial intelligence tools for droplet microfluidics: Advances in the generation and analysis of emulsions
Applied Physics Reviews, vol. 12, (no. 1)
2025
Durve M., Tucny J.-M., Bhamre D., Tiribocchi A., Lauricella M., Montessori A., Succi S.
Droplet Shape Representation Using Fourier Series and Autoencoders
AIAA Journal, vol. 63, (no. 2), pp. 806-810
2025
Tucny J.-M., Durve M., Succi S.
Is the end of insight in sight?
Frontiers in Physics, vol. 13
Colleagues of Multiscale and Quantum Simulations
