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Identification

Personal identification

Full name
Rishi Tripathi

Citation names

  • Tripathi, Rishi

Author identifiers

Ciência ID
4416-CBAF-312E
ORCID iD
0009-0005-5055-4401

Telephones

Mobile phone
  • (+91) 8882053656 (Personal)
  • (+39) 3488141100 (Personal)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Computer Hardware and Architecture
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Communication Engineering and Systems

Languages

Language Speaking Reading Writing Listening Peer-review
Hindi (Mother tongue)
English (Mother tongue)
Italian Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Japanese Beginner (A1) Beginner (A1)
Education
Degree Classification
2019/10/18 - 2023/10/27
Concluded
 Master of Science in Electronic Engineering (Master)
Major in Electronic Engineering
Politecnico di Torino, Italy
"OFFLOADING FOR EFFIECIENT EXECUTION OF AI APPLICATIONS IN EDGE COMPUTING" (THESIS/DISSERTATION)
2014/08/03 - 2018/06/27
Concluded
 Bachelor of Technology In Electronics and Communication(B.Tech) (Bachelor)
Major in Electronics and Communication Engineering
Inderprastha Engineering College, India

Dr A P J Abdul Kalam Technical University, India
Outputs

Publications

Journal article
  1. Dwivedi, Ajay Kumar; Tripathi, Rishi; Tripathi, Saumya; Jit, Satyabrata; Tripathi, Shweta. "SnS/PEDOT:PSS Heterostructure-Based High Performance UV-Visible Photodetectors". IEEE Electron Device Letters 43 11 (2022): 1913-1916. http://dx.doi.org/10.1109/led.2022.3207421.
    10.1109/led.2022.3207421
  2. Dwivedi, Ajay Kumar; Tripathi, Saumya; Tripathi, Rishi; Jit, Satyabrata; Tripathi, Shweta. "PEDOT:PSS/Yb-Doped ZnO Heterojunction Based Flexible UV Photodetector". IEEE Photonics Technology Letters 34 18 (2022): 949-952. http://dx.doi.org/10.1109/lpt.2022.3195784.
    10.1109/lpt.2022.3195784
Thesis / Dissertation
  1. "OFFLOADING FOR EFFIECIENT EXECUTION OF AI APPLICATIONS IN EDGE COMPUTING". Master, Politecnico di Torino, 2023. https://webthesis.biblio.polito.it/secure/29013/1/tesi.pdf.