Multiple Openings for Machine Learning in Diverse Domains (MADD Lab)
Prof. Mohanty's Machine Learning in Diverse Domains (MADD Lab) is seeking passionate students to work on cutting-edge projects related to increasing the safe deployment of robots and autonomous vehicles in land, aerial and space terrains. The lab has a wide variety of ongoing projects in the areas of sensor fusion, machine learning, embedded programming, swarm system, such as:
- Helping with the hardware development and testing of use of ultra-wide band sensors for cooperative navigation in lunar terrains.
- Exploring the use of computer vision algorithms, foundation models such as LLMs, VLMs and VLAs for a wide variety or ground-based and aerial perception tasks development on edge devices.
- Helping with the hardware development and testing of distributed navigation algorithms for a low-cost UAV wildfire swarm system.
By joining this lab, you will have the opportunity to:
- Develop a deep understanding of autonomous systems, sensor fusion, and machine learning.
Increase your expertise in commonly used hardware platforms, software frameworks, simulation platforms in robotics. - Gain an in-depth understanding of setting up and managing physical testing facilities.
- Structuring real-world and simulated experiments for autonomous systems.
- Exposure to various machine learning techniques
Collaborate on publications for leading conferences and journals.
As a mentor, I believe in creating a collaborative and supportive environment for my students. I meet with each student every week to help address concerns and set achievable milestones. Students are expected to maintain weekly meeting notes to track their progress. Beyond individual meetings, all students are expected to contribute to lab brainstorming sessions and be proactive problem solvers. My goal is to equip my students with a set of hard/soft skills that makes them best prepared for future careers and/or graduate school in broad areas of machine learning/robotics/aerospace systems.