2024 – 2025
Recent Research
Project: AI-on-Edge — AI-based Edge Analytics Framework for Real-Time Disaster Management
Supervising work related to computer vision in aerial images, mission planner (Ardupilot), Python programming, Jetson Nano, Ubuntu OS, interfacing with different sensors, Arduino, LoRa-WAN and ESP32, UAV.
Project: Skin Cancer Detection
Analyzing lesions cropped from 3D total body photographs (TBP) using computer vision techniques.
Key Highlights:
AI
Computer Vision
Image Processing
Mission Planner
LoRa WAN
Python GUI
Auto-pilot UAV
Web-app
Data Visualization
Machine Learning
2023 – 2024
Cutting-Edge Research
Project: Parameter Optimization of Deep Learning Models
Developed a system for lung nodule analysis to detect lung cancer risk.
Project: Vision Transformers for Feature Engineering
Investigated the application of vision transformers in lung CT image analysis for nodule detection.
Project: Quantum Computing Techniques
Explored quantum computing approaches to enhance feature selection performance for lung cancer classification.
Project: Explainable AI for Lung Cancer Severity Assessment
Focused on developing explainable AI models to assess lung cancer severity.
Key Highlights:
Deep Learning
Vision Transformers
Quantum Computing
Explainable AI
Python
TensorFlow / PyTorch
2022 – 2023
Advanced Research Initiatives
Project: AI Algorithms for CT Image Analysis
Conducted studies on AI-driven techniques for lung cancer risk detection.
Publications
Authored research work on the concepts of AI and Brain-Computer Interfaces (BCI), and the role of AI in various industries.
Project: Deep Learning for Image Segmentation and Classification
Focused on implementing advanced deep learning techniques for medical image analysis.
International Conference — SPA 2023, Poland
Received the Best Paper Presentation Award.
Key Highlights:
AI
CT Image Analysis
Brain-Computer Interfaces
Deep Learning
Image Segmentation
Python
Scientific Writing
2021 – 2022
Research Contributions
Project: CT Image Pre-Processing Techniques
Presented research at the 10th International Conference on System Modelling & Advancement in Research Trends (SMART).
Project: CT Image Enhancement and Segmentation for Lung Cancer Detection
Utilized Python for implementing image enhancement filters and segmentation algorithms.
Key Highlights:
CT Image Processing
Image Enhancement
Segmentation
Python
Research Presentation
2020 – 2021
Research and Development
Project: CNN-Based Automated Pulmonary Nodule Detection
Presented findings at an IEEE International Conference.
Project: COVID-19 Detection Application
Developed an Android application in Java for health self-assessment through a questionnaire and audio analysis of coughing sounds.
Project: Smart Watch for COVID-19 Monitoring
Collaborated on an initial prototype for monitoring COVID-19 symptoms, presenting the idea at a state-level competition.
Key Highlights:
CNN
Pulmonary Nodule Detection
Android Development
Java
Audio Analysis
Prototype Development
2019 – 2020
PhD Candidate at NIT Raipur
Research Focus: Lung Nodule Detection using CT Image Analysis
Worked in a Python environment, employing image processing techniques for effective lung nodule detection.
Key Highlights:
Python
CT Image Analysis
Lung Nodule Detection
Image Processing
2018 – 2019
Junior Research Fellow (JRF)
Project: Monte Carlo Simulations for Photoacoustic Tomography
Conducted simulations using Graphics Processing Units (GPUs) for enhanced imaging analysis.
Key Highlights:
Monte Carlo Simulations
GPU Computing
Photoacoustic Tomography
2017 – 2018
Junior Research Fellow (JRF) at NIT Raipur
Project: fNIRS-Based Sensor for Tissue Oxygenation Analysis
Developed a MATLAB GUI named Tissue Oxygenation Monitoring System (TOMS) to visualize tissue oxygenation levels.
Key Highlights:
MATLAB
GUI Development
fNIRS
Tissue Oxygenation Analysis
2015 – 2016
M.Tech Trainee at CSIO-CSIR, Chandigarh
Project: Wireless Sensor Network for Body-Worn Device
- Designed an end-to-end wireless sensor system to monitor physical activities and support virtual reality exposure therapy.
- Utilized MEMS-based motion sensors and Inertial Measuring Units (IMU) interfaced with Arduino Nano and HC-05 Bluetooth module.
- Used a customized 3D printed case for protection of the system on chip (SoC) and electronic components.
Master's Thesis
Title: "Wireless Sensor Network for Virtual Reality Exposure Therapy."
Key Highlights:
Wireless Sensor Networks
Arduino
Bluetooth
MEMS
IMU
3D Printing
Virtual Reality
2014 – 2015
M.Tech Student at CDAC, Mohali, Chandigarh
Project: Autonomous LPG Cylinder Trolley
Collaborated as a team member to design and develop a smart device using the ESP32 microcontroller to sense and book LPG cylinders.
Project: Intelligent Shopping Cart
Developed a wireless shopping cart system using ESP32 microcontroller and XBee devices to assist customers in efficient shopping, reduce billing time, and connect to a local area network for systematic transactions.
🏆 First Prize — National Science Exhibition, PGSC, Jalandhar, Punjab (2015)
Key Highlights:
ESP32 Microcontroller
XBee
Wireless Systems
IoT
Embedded Systems