Praveensankar Manimaran

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Praveen is a PhD Research Fellow at the University of Oslo, Norway working on Self-Sovereign Identity and Verifiable Credentials. As part of PhD, Praveen designed research projects, identified important problems, developed novel solutions, and implemented prototypes to showcase the feasibility. In particular, Praveen solved privacy issues in revocation and verification of Verifiable Credentials using the latest technologies such as Smart Contracts, Zero-Knowledge Proofs, BBS Signatures, Bloom Filters, and Merkle Tree Accumulators. Praveen’s PhD paved a path to gain 4 years of invaluable experience in these next-generation Web3 identity technologies.

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email : praveema@ifi.uio.no

Education Details

PhD - Verifiable Credentials and Blockchain

University of Oslo, Norway. (October 2020 - Present)


Supervisor: Roman Vitenberg (Homepage)

Co-supervisor: Leander Jehl (Homepage)

Advisers: Thiago Garrett (Homepage), Mayank Raikwar (Homepage), Arlindo F. Conceição (Homepage)

M.Tech. - Computer Science and Engineering

National Institute of Technology Puducherry, karaikal, India. (July 2018 - June 2020)

CGPA - 9.82 / 10 (gold medal)

B.E. - Computer Science and Engineering

PSG College of Technology, Coimbatore, India. (July 2012 - May 2016)

CGPA- 7.69 / 10

Work Experience

PhD Research Fellow

University of Oslo, Norway (October 2020 - Present)

  • Designed, Developed and Implemented privacy-preserving revocation techniques for Verifiable Credentials. The revocation techniques utilize Bloom Filters, Merkle Tree Accumulators, BBS Signatures, Zero-Knowledge Proofs and Blockchain
  • Project: SmartMed (Homepage)
  • Research Group: Networks and Distributed Systems(homepage)
Summer Research Intern

National Institute of Technology Calicut, Kozhikode, India. (May 2019 - July 2019)

  • Studied about Software Defined Networking, mininet simulator, Named Data Networking and usage of NDN in VANET
  • Designed and developed Intrusion Detection System for NDN Based VANET
Software Engineer

Accolite Software India Pvt. Ltd., Bangalore, India. (July 2016 - March 2017)

  • Worked on the web development
  • Language - C#, Javascript, Web framework - ASP.NET MVC, backend technology - ASP.NET, frontend technology - Jquery and AngularJS, database - Microsoft SQL Server
  • Worked on web development for British Telecommunications through Accolite
Software Engineer Intern

Accolite Software India Pvt. Ltd., Bangalore, India. (January 2016 - April 2016)

  • Worked on the web development
  • Language - C#, Javascript, Web framework - ASP.NET MVC, backend technology - ASP.NET, frontend technology - Jquery and AngularJS, database - Microsoft SQL Server
  • Learned about web development in general and studied ASP.NET and Basic javascript for developing websites
  • Studied about 3 Layer architecture in ASP.NET

Publications

Conference
NDNIDS

P. Manimaran and A. R. K. P, "NDNIDS: An Intrusion Detection System for NDN Based VANET," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5, doi: 10.1109/VTC2020-Spring48590.2020.9129365.

Bidder

P. Manimaran and R. Dhanalakshmi, "Blockchain-Based Smart Contract for E-Bidding System," 2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India, 2019, pp. 55-59. doi: 10.1109/ICCT46177.2019.8969042

Book Chapter
Blockchain and IOT

Ravi, Chandrasekar and Praveensankar Manimaran. "Introduction of Blockchain and Usage of Blockchain in Internet of Things." ​ Transforming Businesses With Bitcoin Mining and Blockchain Applications. ​ IGI Global, 2020. 1-15. Web. 18 Oct. 2019. doi:10.4018/978-1-7998-0186-3.ch001

Projects

Android Application for alarm system

PSG College of Technology, Coimbatore, India. (June 2015 - October 2015)

  • In this application to stop the alarm, the user has to solve either a mathematical puzzle or a logical puzzle or count the number of objects in the image or click the given color in the grid of colors. These functionalities are provided along with traditional alarm functionalities
Face Recognition system using Principal Component Analysis

PSG College of Technology, Coimbatore, India. (June 2014 - October 2014)

  • To detect and recognize an image from a predefined collection of images using the eigenface-based facial recognition

Other Activities

Skills
  • Programming Languages: ​ Golang, Solidity, C
  • Expertise: ​Verifiable Credentials, Blockchain, Self-Sovereign Identity, Web3
Achievements
  • Scored 96.03 Percentile in Computer Science, GATE 2018
  • Scored 98.02% in HSC exam, 2012
  • Scored Centum in Computer Science, HSC exam, 2012
  • Scored 97.80% in SSLC exam, 2010
  • Scored Centum in Maths and Science, SSLC exam, 2010
Teaching work
Teaching Assistant - IN5420/IN9420: Distributed Blockchain Technologies

University of Oslo, Norway. (Spring 2022, Spring 2023)

Teaching Assistant - IN5020/IN9020: Distributed Systems

University of Oslo, Norway. (Autumn 2022, Aumtum 2023)

Science Activities
Event manager - Pint Of Science (2021)

Helped the PoS-Oslo (link) team organize the PoS festival.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.