alandevkota Goto Github PK

2023aihc

Attention neural network-based method for fusing heterogeneous healthcare data, emphasizing cross-modality attention transformer blocks for optimal modality integration

alandevkota.github.io

Research experience in Transformer Neural Networks and AI, Design of Physical-layer Transmission Technologies for Next-generation Wireless Systems (Massive-MIMO, IRS and Relay Networks, Simultaneous Wireless Information and Power Transfer)

android-app-remote-controlled-vehicular-robotic-arm

Remote controlled system (robot) from self developed android app that constantly performs the task of picking an object and moving it to the desired location (both automatic and manual).

bluetooth-remote-controller-app-using-android-studio

cache-performance-using-simplescalar

Performance Impact of Basic Cache Configuration Parameters Using SimpleScalar

energyharvesting-irs-relay

Energy Harvesting in RIS-Assisted Relay Networks

irs-assisted-relay-systems

Performance analysis of IRS-assisted relay systems

multi-threaded-ray-tracing

Task: Ray-tracing program in C++ that performs direct illumination of spheres. Task: Parallelize the code using the C++ std::thread library.

multimodal_detr

multispectral-object-detection

Multimodal DETR transformer model with early fusion of IR and RGB features

n-body-simulation-implementation-with-both-cpu-and-cuda

The project comprises a Python-based serial implementation and a C++/Cuda-based parallel implementation. This program generates N particle locations over a specified number of timesteps. A program is generated that simulates gravitational force between n bodies in space, exploiting the massively parallel architecture provided by GPGPUs.

research_implementations

resume

My Resume

seminar-presentations

Research Seminar Presentations