π Lab
People

Members and affiliates

The lab is interdisciplinary by construction: mechanics, imaging, machine learning and quantum. Around it, the π Lab network gathers researchers from across the Faculty (engineering, computing, soils, pharmaceutical and biological science) and beyond.

Members

The lab

Researchers based in the group at the University of Greenwich.

Gianluca Tozzi

Professor of Industrial Engineering, Lab lead

Neetu Sigger

Research Fellow, Hyperspectral AI

Valentina Perricone

Visiting Research Fellow, Biomimetics

Jon Valijonov

PhD Researcher, Tissue mechanics

Moeen Mohammady

PhD Researcher, Biomaterials

Isabella Florez

PhD Researcher, Quantum imaging

Temor Al‑Kaisi

PhD Researcher, Hyperspectral AI

Pinelopi Almpantaki

KTP Research Associate, Bio‑composites

Affiliates

π Lab network

The network reaches across five schools and institutes of the University of Greenwich: engineering, computing, soils, pharmaceutical and biological science.

Peter Soar

Senior Lecturer in Computer Science

Computing & Mathematical Sciences

James Le Houx

Senior Lecturer in Materials Science and Engineering

School of Engineering

Tuan Nguyen

Senior Lecturer in Computer Science

Computing & Mathematical Sciences

Sebastian Blair

Lecturer in Electrical, Electronic and Computer Engineering

School of Engineering

Ahmed Farhat

Lecturer in Computer Science

Computing & Mathematical Sciences

Sadaf Ashraf

Lecturer in Biological Sciences

Medway School of Pharmacy

Ana‑Maria Totea

Lecturer in Pharmaceutical Science

School of Science

Marcos Paradelo Pérez

Fellow in Soils

Natural Resources Institute

Mohammad Majid al‑Rifaie

Associate Professor in Artificial Intelligence

Computing & Mathematical Sciences

Barbara Tiddi

Lecturer in Applied Ecology and Environmental Sciences

Natural Resources Institute

The affiliate list grows as the network does. If you collaborate with us and would like to be listed, get in touch.

Room for one more.

We take on PhD researchers, postdocs and industrial partners working at the intersection of imaging, mechanics and machine learning.