IEEE PELS Day Celebration on 20th June 2023

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This is to invite you all for the celebration of IEEE PELS Day on 20th June 2023 at 2:30 PM IST. A technical lecture will  be delivered by  Dr. Seema, Associate senior lecture (assistant professor) in Karlstad University, Sweden under the aegis of IEEE PELS-IES Delhi Chapter and Co-hosted by IEEE Delhi Section, IEEE PES-IAS Delhi Chapter and Education Society Delhi Chapter, as per the following details.

The details of the lecture are stated as under:

Title:   “Transition from Microgris to Smart One”

Time: 02:30 PM (IST)

Date: 20th June 2023

Venue:  Online

https://teams.microsoft.com/l/meetup-join/19%3ameeting_NTEzNWRjNjktZWVmNS00MTEwLTlhMGUtYWNkMWJiMTU5YTg4%40thread.v2/0?context=%7b%22Tid%22%3a%22624d5c4b-45c5-4122-8cd0-44f0f84e945d%22%2c%22Oid%22%3a%22e24883d1-97e0-45ff-85f0-32eb743b1c94%22%7d

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 

  Date and Time

  Location

  Hosts

  Registration


  • Date: 20 Jun 2023
  • Time: 02:30 PM to 03:30 PM
  • All times are (UTC+05:30) Chennai
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  • Contact Event Hosts

  • Dr Anshul Varshney

    +91-9711489895

    anshulvarshney@ieee.org

    anshvarshney@gmail.com

  • Co-sponsored by UptoSkills

  Speakers

Dr Seema Dr Seema

Topic:

Transition from Microgrid to Smart One

Biography:

Seema (M’15) was born in Rampur, India, in 1989. She received B. Tech. degree in electrical engineering from Vivekanand Institute of Technology & Science, Ghaziabad, India, in 2010 and the M. Tech. degree in Electrical power management system from Jamia Millia Islamia, Delhi, India, in 2015 and the Ph.D. degree in power electronics from the Department of Electrical Engineering, Indian Institute of Technology, Delhi, India, in 2021. She was postdoctoral fellow in CAiRS, Hong Kong. Currently, she is associate senior lecture (assistant professor) in Karlstad University, Sweden. Her areas of research interests include power electronics, renewable energy, micro-grid, power quality, and application of adaptive and robust control techniques in microgrid, smart grid, energy management and application of AI in renewable energy generation and consumption prediction.