2nd Industry Academia Engagement Workshop on 'Industry 4.0 AI, ML, and Deep Learning Applications in Energy and Environment Engineering’ : vTools Events

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2nd Industry Academia Engagement Workshop on 'Industry 4.0 AI, ML, and Deep Learning Applications in Energy and Environment Engineering’

#PESIAS #IndustryAcademia #Workshop #IRCR10 #AIMLDeepLearning #EnergyAndEnvironment

The second Industry Academia Engagement Workshop on 'Industry 4.0 AI, ML, and Deep Learning Applications in Energy and Environment Engineering’ was organised on 3^rd August 2024. This event was supported by Industry Relations Committee of R10.

Industry and professional experts working in the domain of Energy and Environment Engineering’ were invited to the workshop. Faculty from academic institutions willing to work in Energy and Environment were invited to the workshop. The role of PES Chapter was to bring together industries and academia for collaborative work in the domain area.

Industry experts were from DPTS Enterprises, SeeGreen Solutions LLP, G S Technocrats, Chheda Electricals Pvt. Ltd., TCS, SAS Powertech Pvt. Ltd., Cable industry. Academic institutions participated were PVG’s COET and GKPIM, JSPM’s JSCOE, D Y Patil Institute of Technology, JSPM’s RSCOE. There were representations from four academic institutions and eight industries.

Representatives from Academic institutions shared efforts taken by the institution to improve the energy literacy among students, facilities, infrastructure and ecosystem available and students interests for performing activities in the particular domain of Energy and Environment Engineering such as e waste management, water management, calculation of carbon footprint of campus, e vehicle etc.

Professionals and industries in various domain of energy and environment were enthusiastic in collaborating with academic institutions for providing data, training, internship and few projects.

Experts from Industry and academia discussed various aspects related to Industry and Academia engagement related to AI, ML and Deep learning applications to energy and environment engineering.

o The outcome expected from this workshop:

· Possible projects related to e waste management, EV etc.

· Internship and training for students and faculty

· Collaborative work towards start-ups and entrepreneurship