Serial Deep Tech Entrepreneur; MIT Connection Science Fellow

Praveen Mandal is a veteran of 7 successful start-ups and a seasoned technology executive whose teams have developed industry recognized, market leading technologies and, oftentimes, pioneering solutions in telecom equipment, electric vehicle charging, high performance compute systems and AI model development; resulting in 4 acquisitions and 3 public stock exchange listings. Furthermore, he has held senior executive positions at four publicly traded technology firms.

Companies founded were Pipal Systems (acquired), ChargePoint (IPO’d) and 2predict (acquired).

Mr. Mandal is currently appointed as an MIT Connection Science Fellow and is a co-inventor of over 15 awarded patents.

Electrical Energy Systems Expertise; Deep Tech Entrepreneur; EE Professor

Adel Nasiri is a recognized leader in electrical energy systems, microgrids, resiliency, and power electronics, with over 25 years of combined experience in academia and industry. He has held technical and leadership roles at power consulting firms, medical‐equipment automation companies, and major energy enterprises. Adel also founded Imagen Energy, a pioneering DC Fast Charger provider, which was later acquired by a global multinational. His work bridges cutting‐edge research and real‐world deployments, driving advances in resilient, sustainable power infrastructure.

He is presently the Thomas L. Gregory Endowed Professor of Electrical Engineering at the University of South Carolina. His research interests are smart and connected energy systems, energy storage, and microgrids.

Deep Learning Expertise; Neural Computation; Production Scale AI

David Klein is a scientist, technologist, and founder with over 20 years of experience applying AI to complex real-world systems. He served as Head of Multisensor Machine Learning at Audience, where he developed deep learning models for real-time sensor processing used in over a billion mobile devices. He has also led the development of global wildlife monitoring systems at Conservation Metrics, using AI to track hundreds of endangered species in remote environments. As Chief Data Scientist at Volta Charging, he led the development of PredictEV, an AI-powered EV charging network planning platform recognized by TIME as one of the Best Inventions for its impact on cost, equity, and carbon Infrastructure. Furthermore, as CTO of Dandelion Science, David has pioneered a new category of closed-loop AI therapies for neurodegenerative and cognitive disorders. His team developed generative AI systems that adaptively stimulate the brain using real-time biosignal feedback, creating precision interventions for cognition, vision, and mood.

David’s work has been featured at the Venice Architecture Biennale, Harvard GSD, UCL Bartlett, and various design symposia for its role in creative AI and human-machine systems. He is the inventor or co-inventor of 17 patents, and the author of over 40 peer-reviewed publications (with over 3400 citations and an h10-index of 28) spanning machine learning, computational neuroscience, speech processing, environmental monitoring, and intelligent systems.