Praveen Kumar Chandaliya

Product Manager

Surat, Gujarat, India17 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Biometrics and Computer Vision.
  • Contributed to EU-funded biometric research projects.
  • Developed innovative models for child face recognition.
Stackforce AI infers this person is a Biometric Researcher with expertise in AI and Medical Imaging.

Contact

Skills

Core Skills

Computer VisionBiometrics

Other Skills

Data AnalysisData ScienceDeep LearningFacial RecognitionGenerative AIJavaMachine LearningNeural NetworksPyTorchPython (Programming Language)TensorFlow

About

Praveen Kumar Chandaliya is an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat—an Institute of National Importance under the Government of India. Before joining SVNIT, he served as a Post-doctoral Research Associate with the Norwegian Biometric Laboratory (NBL) at NTNU, Norway, where he contributed to the EU-funded iMARS project. He earned his Ph.D. and M.Tech. degrees in Computer Science and Engineering from the Malaviya National Institute of Technology (MNIT) Jaipur, India, in 2022 and 2014, respectively. As a visiting scholar at the PRIP Lab, Michigan State University, USA, he conducted research under the mentorship of Distinguished Professor Anil K. Jain, focusing on cross-age face recognition, face aging, and the development of benchmark longitudinal datasets of Indian children (ICD). During his Ph.D., he served as a Senior Research Fellow on a Government of India-funded project by the Ministry of Electronics and Information Technology (MeitY), focusing on child face aging and rejuvenation for tracing missing children. He is currently involved in the Indo-Norwegian collaborative research project INCP2-2024/10365 CapsTrain – Making Wireless Capsule Endoscopy Clinic Ready: Training and Educating Next Generation Researchers, which aims to advance clinical readiness and training in wireless capsule endoscopy technologies. His core research interests include Biometrics, Generative AI, Medical Imaging, and Computer vision. He has published research papers in reputed journals and premier conferences such as Pattern Recognition, Expert Systems with Applications, Neural Computing and Applications, IJCB, FG, ICB, CVIP, and BIOSIG. He is also an active reviewer for renowned conferences and journals including IJCB, WIFS, BMVC, and Neural Computing and Applications.

Experience

Sardar vallabhbhai national institute of technology (svnit), surat

Assistant Professor, Department of Artificial Intelligence

Mar 2024Present · 2 yrs · Surat, Gujarat, India · On-site

Norwegian university of science and technology (ntnu)

Postdoctoral Researcher Associate

Jan 2023Feb 2024 · 1 yr 1 mo · Norway · On-site

  • Praveen Kumar Chandaliya is a Post-doctoral research associate at the iMARS EU-funded project and Norwegian Biometrics Laboratory (NBL) Group, NTNU, Norway, under Prof. Kiran Raja, Prof. Raghavendra Ramachandra, and Prof. Christoph Bush. I worked on ISO/IEC face image quality components, presentation attacks, face aging, and synthetic dataset generation.
Computer VisionBiometricsGenerative AI

The lnm institute of information technology

Assistant Professor

Aug 2022Jan 2023 · 5 mos · Jaipur, Rajasthan, India

Ministry of electronics and information technology

Associate Researcher

Feb 2020Sep 2022 · 2 yrs 7 mos · Jaipur

  • I worked as a Senior Research Fellow on the child face age progression and regression to trace missing children project sponsored by Meity, Government of India.

Michigan state university

2 roles

Visiting Scholar

Promoted

Aug 2019Nov 2019 · 3 mos · Michigan, United States

  • Research scholar under the guidance of Prof Anil Kumar Jain in the Biometrics, cross-age face recognition, generative model, and computer vision.

Visiting Scholar

Aug 2019Nov 2019 · 3 mos · Michigan, United States

  • Research scholar under the guidance of Prof Anil Kumar Jain in the Biometrics, cross-age face recognition, generative model, and computer vision.

Malaviya national institute of technology jaipur

Doctor of philosophy

Jan 2017Jul 2022 · 5 yrs 6 mos · India

  • My Ph.D. research focuses on developing benchmark Longitudinal Indian Child Dataset and Generative Adversarial Network-based face aging and rejuvenation models. Further, my thesis focused on developing generative models to improve cross-age face recognition performance on child datasets to help reunite missing children. As part of the generalization study, I also created the Multi-racial wild child dataset. The model and the MRCD web crawled images are available on Github (https://github.com/praveenkumarchandaliya/ChildGAN_Tamp1)
Python (Programming Language)Computer VisionBiometricsPyTorch

Sdj infosoft pvt ltd

Java Trainer

Mar 2011Jul 2019 · 8 yrs 4 mos · Jaipur, Rajasthan, India

  • J2SE, J2EE, Struts, Hibernate, Spring, Hadoop2.0, Deep Learning

Poornima institute of engineering & technology

Assistant Professor

Jan 2011Dec 2017 · 6 yrs 11 mos · Jaipur, Rajasthan, India

Suresh gyan vihar university

Lecturer

Nov 2008Dec 2011 · 3 yrs 1 mo · Jaipur, Rajasthan, India

Education

Norwegian University of Science and Technology (NTNU)

Postdoc Researcher — Biometric

Feb 2023Feb 2024

Malaviya National Institute of Technology Jaipur

Doctor of Philosophy - PhD — Computer Science and Engineering

Jan 2017Jul 2022

Malaviya National Institute of Technology Jaipur

Senior Research Fellow — Biometry/Biometrics

Jan 2020Feb 2022

Malaviya National Institute of Technology Jaipur

M.Tech — Computer Science and Engineering

Jun 2011Jun 2014

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