Block Chain Research Centre

 

Name of Coordinator: Mr. C. Sudhakar Reddy                                        

Designation: Associate Professor

Email: [email protected]

The Research Centre for Block Chain is dedicated for empowering students to get well-versed in developing decentralized, transparent, and efficient secured data transactional solutions using blockchain technology for building a network of trust, innovation, and inclusivity, reshaping industries, and enhancing collaboration for a decentralized future to make them future-ready.

Objectives

  • Training students to build their skills to develop projects in blockchain technology.
  • Help students to establish networking and work collaborated with industry and fellow student community working in blockchain which helps in building their careers.

Faculty Members

S.No.NameDesignationQualificationSpecialization
1

Mrs. T.Aparna

Assistant ProfessorM.Tech (Ph.D)Cloud Computing
2

Mrs. P N Ramya

Assistant ProfessorM.Tech (Ph.D)Cloud Security and Blockchain

Infrastructure

S.No.Name of the EquipmentQuantityCost
1Lenovo Thinkcentre: Intel Core i3 – 4150 3.50GHz, 500GB HDD, 8 GB RAM, 18.5” TFT Monitor246,92,400
2Lenovo Thinkcentre E73: Intel core i3, 8GB RAM, 500GB HDD, 18.5” Monitor.72,17,700
3Dell Optiplex 3010: Intel Core i3, 4 GB RAM, 500 GB HDD, 18.5” Monitor.128,600
4HP 280 G8 i5 Processor 11500 Generation(6 core 11th Generation Processor)16GB DDR4 RAM 512 GB SSD,19.5 inch Monitor wired Key board & Mouse41,98,908
5LENOVO NEO50S GEN3 11SYS0SV00 DESKTOP Intel core i5 12400 Processor,16GB RAM,512GB SSD,19.5 inch Monitor wired Key board & Mouse298,000

Outcomes

  • To educate graduates with valuable insights by industry experts talks and hands of experience in Blockchain technology, by working on Algorand projects, smart contracts which opens up career paths in Blockchain industry.
  • To facilitate networking connections among individuals interested in blockchain and Algorand, fostering a supportive community which allows students to explore and contribute towards research in the Algorand ecosystem, potentially leading to innovations or improvements.