Academic & Professional
Experiences
Research Timeline · 2014 – Present
Faculty & Founder Now
Teaching core computer science courses and researching AI, computer vision, medical imaging and quantum computing.
Teaching and research in AI, computer vision and quantum computing in the Blockchain, IoT & Cybersecurity department.
Building accountable AI products: Lung26 (AI-assisted low-dose CT lung screening for hospitals), NAMAH (wellbeing) and DecryptQ (classical vs real quantum hardware benchmarks).
Recent Research
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.
Analyzing lesions cropped from 3D total body photographs (TBP) using computer vision techniques.
Cutting-Edge Research
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.
Advanced Research Initiatives
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.
Research Contributions
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.
Research and Development
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.
PhD Candidate at NIT Raipur
Worked in a Python environment, employing image processing techniques for effective lung nodule detection.
Junior Research Fellow (JRF)
Conducted simulations using Graphics Processing Units (GPUs) for enhanced imaging analysis.
Junior Research Fellow (JRF) at NIT Raipur
Developed a MATLAB GUI named Tissue Oxygenation Monitoring System (TOMS) to visualize tissue oxygenation levels.
M.Tech Trainee at CSIO-CSIR, Chandigarh
- 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.
Title: "Wireless Sensor Network for Virtual Reality Exposure Therapy."
M.Tech Student at CDAC, Mohali, Chandigarh
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.
First Prize — National Science Exhibition, PGSC, Jalandhar, Punjab (2015)