IIIT-Delhi Institutional Repository

Browsing BTech Projects by Author "Darak, Sumit Jagdish (Advisor)"

Browsing BTech Projects by Author "Darak, Sumit Jagdish (Advisor)"

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  • Cloud labs 
    Singh, Aditya; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud Labs enable hardware based courses in remote environments and developing self paced learning modules. The integrated hardware and software solutions developed allow for remote access to physical labs and offer a ...
  • Design and prototype of 802.11ad based joint radar communication architecture 
    Kumar, Daksh; Govil, Aryan; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-12-12)
    In the millimetre wave and sub-6 GHz band, next-generation wireless communication systems are anticipated to offer high-mobility Vehicle to Everything (V2X) communication services. This necessitates precise user tracking ...
  • Design and prototype of 802.11ad based joint radar communication transceiver on FPGA 
    Reddy, Krishna Neel; Joshi, Kshtiz; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-05)
    Next generation wireless communication systems are expected to support high-mobility Vehicle to everything (V2X) communication services in sub-6 GHz as well as millimeter wave spectrum. This demands accurate tracking of ...
  • Design of synchronization burst transmitter and detector for 5G physical layer 
    Lodhi, Khalid; Darak, Sumit Jagdish (Advisor) (IIIT- Delhi, 2020-05)
    The continuously increasing demand for wireless communication technology has enabled the advancement from 1G to 5G and even beyond 5G. Synchronization is a time-frequency domain communication network that enables the UE ( ...
  • Developing solutions for remote SoC labs 
    Goyal, Anmol; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-07)
    Embedded System labs involve working on Field Programmable Gate Arrays (FPGAs) and Zynq System-on-Chips (SoC). The key aspect is that these boards can be programmed and tested remotely. However, conducting remote labs for ...
  • DOA estimation via hardware-software co-design 
    Sharma, Somya; Gupta, Mansi; Darak, Sumit Jagdish (Advisor); Joshi, Himani (Advisor) (IIIT- Delhi, 2021-05)
    The deployment of cellular spectrum in licensed, shared and unlicensed spectrum demands wideband sensing over non-contiguous sub-6 GHz spectrum. To improve the spectrum and energy efficiency, beam forming and massive ...
  • MAB on hardware 
    Pareek, Animesh; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The Multi Armed Bandit (MAB) problem in the Reinforcement Learning field refers to the problem of allocating resources in certain choices for achieving an overall goal with the objective of maximizing expected gain. Our ...
  • Neural network-aided channel estimation for hybrid beamforming in mm wave massive mimo systems: an interim report 
    Gulati, Anurag; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    Millimeter wave (mmWave) massive multiple input multiple output (mMIMO) systems are at the core of fifth-generation (5G) and beyond-fifth-generation (B5G) technologies due to their ability to support error-free communication ...
  • Performing crypto algorithms at 100 gbps bandwidth 
    Kumar, Prateek; Shah, Rinku (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-12-05)
    Data centers increasingly offload compute-intensive tasks to SmartNICs to optimize server resources for diverse applications. These SmartNICs, equipped with FPGA boards, are programmed to process data, substituting server ...
  • Reconfigurable and intelligent architectures for deep learning algorithms 
    Rajesh, Rohith; Darak, Sumit Jagdish (Advisor); Jain, Akshay (Advisor) (IIIT-Delhi, 2021-12)
    Throughout the course of this BTP, we e ciently implement a Deep Learning Architecture(DLWSS) for Spectrum Sensing problem on the FPGA. This involved training the model from scratch on Pytorch/Keras, extracting the weights ...
  • Reconfigurable architectures for online machine learning 
    Santosh, Siripurapu Venkata Sai; Darak, Sumit Jagdish (Advisor) (IIIT- Delhi, 2020-12)
    Multi-armed bandit (MAB) algorithms are designed to identify the best arm among several arms in an unknown environment. They guarantee optimal balance between exploration (select all arms sufficient number of times) and ...
  • TA allocation system 
    Sony, Atyant; Palia, Arnav Kumar; Bansal, Mohit; Gupta, Nikhil; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses significant challenges in our academic institution's manual Teaching Assistant (TA) allocation process. The current system relies on time-consuming Excel sheets and email-based communication, leading ...

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