Supervising the work related to compter vision in aerial images, mission planner (ardupilot), python programming, Jetson nano, ubuntu OS, interfacing with different sensors, arduino, LoRa - WAN and esp32, UAV..
Key Highlights: AI, Computer Vision, Image Processing, Mission planner, LoRa WAN, python GUI, Auto-pilot UAV, web-app and data visualization.
Analyzing lesions cropped from 3D total body photographs (TBP) using computer vision techniques.
Key Highlights: Computer Vision, Image Processing, Machine Learning
Developed a system for lung nodule analysis to detect lung cancer risk.
Investigated the application of vision transformers in lung CT image analysis for nodule detection.
Explored quantum computing approaches to enhance feature selection performance for lung cancer classification.
Focused on developing explainable AI models to assess lung cancer severity.
Key Highlights: Deep Learning, Vision Transformers, Quantum Computing, Explainable AI, Python, TensorFlow/PyTorch
Conducted studies on AI-driven techniques for lung cancer risk detection.
Authored research work on the concepts of AI and Brain-Computer Interfaces (BCI), and the role of AI in various industries.
Focused on implementing advanced deep learning techniques for medical image analysis.
Received "The Best Paper Presentation Award.
Key Highlights: AI, CT Image Analysis, Brain-Computer Interfaces, Deep Learning, Image Segmentation, Python, Scientific Writing
Presented research at the 10th International Conference on System Modelling & Advancement in Research Trends (SMART).
Utilized Python for implementing image enhancement filters and segmentation algorithms.
Key Highlights: CT Image Processing, Image Enhancement, Segmentation, Python, Research Presentation
Presented findings at an IEEE International Conference.
Developed an Android application in Java for health self-assessment through a questionnaire and audio analysis of coughing sounds.
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
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
Conducted simulations using Graphics Processing Units (GPUs) for enhanced imaging analysis.
Key Highlights: Monte Carlo Simulations, GPU Computing, Photoacoustic Tomography
Developed a MATLAB GUI named Tissue Oxygenation Monitoring System (TOMS) to visualize tissue oxygenation levels.
Key Highlights: MATLAB, GUI Development, fNIRS, Tissue Oxygenation Analysis
Title: "Wireless Sensor Network for Virtual Reality Exposure Therapy."
Key Highlights: Wireless Sensor Networks, Arduino, Bluetooth, MEMS, IMU, 3D Printing, Virtual Reality
Collaborated as a team member to design and develop a smart device using the ESP32 microcontroller to sense and book LPG cylinders.
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.
Achievements: Received the first prize at the National Science Exhibition, PGSC, Jalandhar, Punjab in 2015.
Key Highlights: ESP32 Microcontroller, XBee, Wireless Systems, IoT, Embedded Systems