About Me

As a computer science researcher specialising in image processing and computer vision, I am on a mission to transform how we approach complex problems within the realm of high level and lowlevel vision. I hold my Master's in Electrical Engineering, and I completed my Ph.D. in Information and Communication Engineering from Huazhong University of Science and Technology, Wuhan, PRC (Sep. 2021), with a focus on  image processing and computer vision using deep learning for the color and contrast enhancement of  the lowlight images using single view and multiview camera systems.

During my Ph.D, I worked at the Wuhan National Lab of Optoelectronics, where I remained engaged in the image acquisition, multiview camera systems and high speed imaging camera systems, LIDARs, Light-field cameras and gig-vision interface for controlling the multiview camera systems. I also worked on multiple lighting scenarios to capture the images for the image relighting and image enhancement, and multiview high dynamic range imaging problems. I captured large scale datasets and also proposed various algorithms and learning based techniques (using Tensorflow) for the low-level vision problems using learning-based frameworks. 

 I have gained a deep understanding of image processing, computer vision,  and deep learning through extensive research on  key problems in this domain. I developed expertise in conducting scientific research, mathematical modeling, and simulations, particularly in the context of image processing for  the single view and multiview camera images.  With a proven track record of developing innovative solutions for image-related challenges, I am committed to pushing the boundaries of what is possible in the field of image processing and computer vision, delivering results that truly make a difference.

Drawing on my extensive expertise in computer science and image-related technologies, coupled with my passion for detection and enhancement in lowlighting and ill-lighting conditions using  deep learning on the real world single view and multiview camera data, I am at the forefront of this rapidly-evolving field. My passion for developing innovative solutions to complex image processing problems has led me to specialize in these areas, where I have made significant contributions through my research publications. I am particularly proficient at analyzing the lowlighting, underwater images and medical image data and developing algorithms that leverage game theoretic optimization and deep learning for valuable results.

During my career, I have published several high-quality research articles in well-reputed journals such as the Pattern Recognition, Expert systems with applications, Optics express, Neurosciences, IEEE journals and many other prestigious journals in our domain. I constantly seek new challenges and opportunities to apply my skills and knowledge to continue making meaningful contributions to the field of image processing and computer vision.

I am efficient in programming languages such as python, urp to implement and optimize image processing algorithms using python. In addition to my programming skills, I have been engineering software-based solutions for image processing applications for over 5 years.

I am excited to collaborate with like-minded individuals and organizations in the field of image processing and computer vision to develop groundbreaking solutions that unlock new levels of performance and drive real-world impact in visual data applications.