Summary
Praveen Chandaliya is an Assistant Professor in Artificial Intelligence at SVNIT Surat with eight years of experience bridging academic research and applied biometrics. He completed a PhD at MNIT Jaipur focused on generative adversarial models for child face aging and created benchmark longitudinal datasets (including a multi-racial wild child dataset) to improve cross-age recognition for missing children reunification. His postdoctoral work at NTNU contributed to EU-funded iMARS research on face image quality, presentation attacks and synthetic dataset generation, and he was a visiting scholar with Prof. Anil K. Jain at Michigan State working on cross-age face recognition. Praveen’s portfolio spans biometrics, generative AI, medical imaging and computer vision, with publications in top venues and active peer-review service for leading conferences and journals. He also combines hands-on engineering experience (earlier roles as a Java trainer and developer) with collaborative international projects, including an Indo-Norwegian effort to make wireless capsule endoscopy clinic-ready. Notably, his ChildGAN repository demonstrates a commitment to reproducible research and public dataset/tool release for social impact.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, 8.33, Doctor of Philosophy - PhD, Computer Science and Engineering, 8.33 at Malaviya National Institute of Technology Jaipur
Norwegian University of Science and Technology