"FPGA-based Sensing and Processing for IoT"

#IEEE #Sensors #Council #SBC #FPGA #Processors #IoT #Signal #Processing #ADC #Filtering #Spectral #Analysis #Pipelining #SoC #Design #Accelerators # #Cognitive #computing
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The focus is on the topic "FPGA-based Sensing and Processing for IoT". This session will introduce students to the fundamentals of FPGA system design and Verilog HDL, enabling them to develop a basic sensing system. As a prerequisite should be familiarized with Digital electronics, FPGA, Verilog and the Xilinx Vivado tool. The webinar will include an overview of the Vivado design flow, followed by a hands-on demonstration of an FPGA-based sensing system.

 



  Date and Time

  Location

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  Registration



  • Date: 14 Oct 2024
  • Time: 05:00 PM to 07:00 PM
  • All times are (UTC+05:30) Chennai
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  • Starts 01 October 2024 05:00 PM
  • Ends 14 October 2024 12:00 AM
  • All times are (UTC+05:30) Chennai
  • No Admission Charge


  Speakers

Dr. Amit Kumar Panda of Birla Institute of Technology and Science, Pilani

Topic:

FPGA-based Sensing and Processing for IoT

Biography:

Dr Amit Kumar Panda is a IEEE Senior Member who has received the M.Sc. degree in Electronics from Berhampur University, then M. Tech. degree in Electronic Design and Technology from Tezpur Central University and Ph.D. degree in Electrical Engineering from Indian Institute of Technology Patna. Currently, he is working as an Assistant Professor with the Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus. He has more than 10 years of teaching and research experience. His research interests include VLSI Architectural design, FPGA-based system design, Hardware Accelerator on FPGA SoC, VLSI Cryptography and Hardware Security for IoT systems. He is currently working in light weight Cryptographic ENGINE for IoT applications and Post-Quantum Cryptography for the next generation security.

Address:Hyderabad, Uttar Pradesh, India





  Media

Hands on "FPGA-based sensing and processing" 2.22 MiB
Hands on "FPGA-based sensing and processing" 2.22 MiB
Hands on "FPGA-based sensing and processing" 2.30 MiB