RCACS : Research Proposal

  • Design a heterogeneous MPSoC (Multiprocessor System on a chip) system with a new replacement policy and low energy consumption for specialized embedded system applications.
    Funding Agency: DST
    Name of Principal Investigator: Dr. Shaily Jain
    Amount: 14.47 Lakhs
  • Design and Development of Parallel Algorithms for PKC based Security Algorithms for Battery operated mobile devices.
    Funding Agency: DST
    Name of Principal Investigator: Dr. Sapna Saxena
    Amount: 14.76 Lakhs
  • Design and Development of Biomedical by Using Different technologies (Embedded systems).
    Name of Principal Investigator: Dr. Tanu Sharma
    Funding Agency applied for: DST
    Amount: 15.00 Lakh
  • An energy efficient parallel security algorithms for mobile and hand held devices.
    Name of Principal Investigator: Dr. Disha Handa
    Funding Agency applied for: DST
    Amount: 15.70 Lakh
  • Smart Vehicle Driver Remote Monitoring & Skill Assessment Apparatus
    Name of Principal Investigator: Mr. Karan Bajaj
    Funding Agency applied for: DIETY
    Amount: 6.70 Lakh
  • Enhanced Rural Education Pedagogy using Touch Sense Based Smart Projector
    Name of Principal Investigator: Mr. Manik Gupta
    Funding Agency applied for: DIETY
    Amount: 4.60 Lakh
  • Memory customization in MPSoC. This project aims to solve various memory issues in multiprocessor systems on chip. Cache coherence problem is the major problem in the presence of multiple caches in a system with multiprocessors. The main objective of this research project is to solve such issues by proposing a cache coherence protocol in a MPSoC.

  • Development of new private key based parallel and energy efficient algorithm for mobile applications: Security has always been a biggest concern for the computing world in terms of transmitting information and data across the networks. Security algorithms are usually implemented serially which are bit slow as it takes time to perform calculations for encryption as well as decryption. It also requires large amount of memory which is sometimes not possible for a single processor. I am proposing a project “Development of New Private Key based Parallel and Energy Efficient Algorithm for Mobile Applications” because parallel computing is an emerging area which uses multicore processor for the faster and efficient execution of the instructions. Parallel implementation of security algorithms are very important in the area of mobile computing and high-end servers as a means to reach high performance targets while also maintaining acceptable power characteristics, as security algorithms are more computation intensive and the implementation of security algorithms in parallel will help to reduce power consumption which is one of the most critical aspects in above mentioned areas.

  • Study and analysis of various security parameters in Software Development: The objectives of this project are to identify and evaluate various security parameters from high profile waterfall SE- Process that are used in the current Agile Industry. Then, to suggest the most compatible and beneficial parameters to Agile model based on study results.

  • Development of Time and Energy-efficient Public Key Based Security Algorithms Applicable to Portable Mobile Devices: The aim of this project is to design secure and energy efficient parallel algorithms using public key cryptography for parallel computation and which can be further implemented in multi-core mobile devices.

  • Development of fast digital crime forensics technique using digital footprints: As the digital crime ratio is increasing rapidly, there is a need to have a Digital Crime Forensics Technique which can detect the roots of crime and solve the case. Digital Footprints are a good solution for that. The objective of the project proposal is to come with a fast Digital Crime Forensics Technique with the use of Digital Footprints.

  • Design & development of biomedical devices by using different technologies ( embedded /android etc.):Current Human-Machine Interfaces (HMI) lack “emotional intelligence”, i.e. they are not able to identify human emotional states and take this information into account to decide on the proper actions to execute. The goal of this project is to fill this lack by detecting emotional cues occurring during Human-Computer Interaction (HCI) and apply it to the interactions. In the last decades, most of the studies on emotion assessment have focused on the analysis of facial expressions and speech to determine the emotional state of a person. Physiological activity also includes emotional information that can be used for emotion assessment but has received less attention despite of its advantages

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