Nand Yadav

I am a Computer Vision and Deep Learning researcher with a Ph.D. in Intelligent Systems from IIIT Allahabad and current Postdoctoral experience at the University of South Dakota. My expertise lies in generative modeling, particularly GANs, diffusion models, and thermal-to-visual face transformation. I bring over 7 years of research experience, including publications in high-impact journals such as IEEE Transactions and Springer.

Throughout my career, I've worked on complex problems involving image synthesis, biomedical imaging, edge AI, and uncertainty quantification, with a strong emphasis on deploying efficient and explainable AI models. I've also actively contributed to international collaborations, including the DST INDO-TAIWAN project and research appointments at HSE University, Russia.

Beyond research, I’ve led hands-on GAN workshops and reviewed for top-tier journals like IEEE TAI and Springer’s Neural Computing and Applications. I’m passionate about applying my skills to real-world problems and am currently seeking opportunities in AI-driven innovation, particularly in vision and multimodal data domains.

Experienced Computer Vision Engineer and Postdoctoral Researcher with over 7 years of expertise in designing and deploying deep learning solutions for image understanding, generation, and transformation. Specialized in Generative Adversarial Networks (GANs), transformer-based models, and multimodal vision tasks, with a strong track record in thermal-to-visible face synthesis, biomedical imaging, and image retrieval.

Proven success in both academic and applied R&D environments, including roles at the University of South Dakota, HSE University, and IIIT Allahabad. Adept at building scalable AI models for real-world problems and contributing to scientific advancements through top-tier publications and hands-on development.

Now seeking opportunities to bring advanced vision systems into production as part of a cutting-edge AI team.

Ph.D. in Intelligent Systems, IIIT Allahabad, India
Thesis: Image-to-Image Translation Using Generative Adversarial Networks
Specialized in deep learning, computer vision, and generative models. (2023)

M.Tech in Intelligent Systems, IIIT Allahabad, India
Focused on machine learning, image processing, and AI system design. (2018)

Diploma in Advanced Computing, CDAC Hyderabad, India
Industry-oriented training in software development and applied computing. (2013)