Guest of Honour

Dr. Nakul Parashar

Dr. Nakul Parashar

Director | Vigyan Prasar

Dr. Nakul Parashar,a doctorate in Applied Physics and masters in Computer Science & Physics, Dr Nakul Parashar has successfully set up three start-ups and taken them to plausible profitability. Dr Parashar has worked in Academia, Government & Corporate, Information Science, KPO, Legal Information sectors. He has run diverse-domain service set-ups with lowest-possible costs infrastructure to produce highly plausible EBITDA. He has been a University-level researcher & teacher, business development leader, operations risk manager and SME for content management for various domains like Legal, STM and General content. He has hands-on experience of working in various geographies like North America, EMEA and Asia-Pacific.
Currently designated as Director, Vigyan Prasar, Dr Parashar has been entrusted with the responsibility of propagating Science & Technology Communication, Popularization and Extension across the nation and beyond the national boundaries. In his past assignments, he has worked as an Assistant Editor to Vigyan Pragati, a popular science monthly published by CSIR, and later as an Associate Editor of Computers Today from India Today group of magazines. He has authored a number of award-winning books in the science-popularization domain and also more than a couple of hundred articles. He continues to follow his passion by bringing new thoughts, processes and workflows relevant to Science & Technology Communication Strategies.

Having travelled extensively across the globe, Dr Parashar brings to the fore best practices in science communication that could assist him in applying them at his current place of work. Leveraging the power of latest communication techniques, Dr Parashar intends to apply them to existing S&T communication channels thereby expanding the outreach and achieve a meaningful outcome.His current research interests includes machine learning and natural language processing with use cases like automated metadata extraction and content summarization.