1. Machine Learning - Deep learning, transform learning, reinforcement Learning, etc. 

2. Visual Signal Processing - Image denoising, super-resolution, Inpainting, Low-light image and shadow removal, etc. 

3. Computer Vision - Robust image classification, segmentation, object detection, face recognition, etc. 

4. Computational Imaging - Magnetic resonance imaging (MRI), computed tomography (CT), X-Ray, synthetic-aperture radar (SAR), etc. 

4. AI security - Adversarial attack and defense, backdoor attack, model ownership verification, etc. 

6. NP-hard problems - Compressed sensing, Ill-posed inference, sparse coding, combinatorial problems, etc. 

We have multiple openings and are ALWAYS looking for GOOD and Highly Self-Motivated 

a) PhD students 

b) Post-doc Research Fellows 

c) Research Associates / Project Officer 

If you are interested of working with me, please send your resume / CV. Only qualified candidates will be contacted.

• Data-driven Models For Analyzing Smart Sensors And Meters In Water Distribution Networks
• Development of fundamental AI technologies for medical AI applications
• Machine Learning based Analysis of 3D X-Ray PCB Images for Hardware Assurance
• P1.3 Big Data for Robot Joints Self-Learning and Transfer Learning Analytics & Controlling Motorized Mobile Platform Using Deep Learning and EEG
• P1.3 Big Data for Robot Joints Self-learning and Transfer Learning Analytics & Controlling Motorized Platform Using Deep Learning and EEG
• Project AI-SSR
• Project AIR REUS 2
• Reliable Artificial Intelligence for Satellite On-board Imaging
• Satellite-based detection and characterization of Volcanic Ash Plumes
• Theoreticall-Grounded and Robust Artificial Intelligence for Real-World Challenges
• WiseSAR