Praveen Patil
A physics teacher, Python enthusiast, and advocate for open-source software and hardware. He actively volunteers to promote ExpEYES and SEELab, a Python-powered pocket science lab that brings real-time scientific experimentation to students and researchers.
Google Summer of Code alumnus for three years with FOSSASIA (2014, 2015, and 2016). Praveen has mentored young programmers through the Google Code-In program and volunteered with Fedora.
He is the founder of Makerspace Belgaum and the organizer of Science Hack Day India. Praveen was also part of the ICT curriculum design team and contributed to the National Repository of Open Educational Resources (NROER) at CIET, NCERT in New Delhi.
In his work, he focuses on creating resources that help students visually grasp complex scientific and mathematical principles using Python programming. He is continuously experimenting and exploring ways to use Python, ExpEYES, and SEELab to actively engage students and enhance their understanding of scientific and mathematical concepts. He is currently pursuing PhD in Physics.
Links:
Personal Website: https://www.gnovi.in/
ExpEYES: https://expeyes.in/
SEELab: https://csparkresearch.in/seelab3
Github: https://github.com/wavicles
Sessions
The advancement of open science hardware is transforming the landscapes of education and research, democratizing access to scientific inquiry and discovery. In this presentation, I will explore the significant role of ExpEYES, a Python-powered open-source pocket science lab, in this revolution. Utilizing ExpEYES within diverse educational settings has enabled students to engage directly with complex scientific concepts through hands-on experiments. Moreover, my work extends beyond the classroom into the realm of research, where I have employed ExpEYES to develop innovative open science hardware solutions such as cyclic voltammetry setups, PE loop tracers, and devices to analyze motion and oscillations. This talk will detail these applications, showcasing how ExpEYES serves as a bridge between learning and real-world scientific investigation, and illustrating the potential of open hardware to foster a more inclusive and collaborative scientific community.