Dr. Parul Yadav
Also known as: P Yadav, Parul Agarwal
University of Memphis, Robert Morris University, Institute of Engineering and Technology Lucknow
0000-0001-6004-7589
About
I did B. Tech., M. E. and Ph. D. in Computer Science and Engineering and have more than 18 years of teaching and research experience.
I have taught courses like Introduction to Data Analytics, Data Integration for Analytics, Data Mining Applications, Discrete Mathematics for Computing, Python Programming, Data Security and Cryptography, Natural Language Processing, Theory of Computation, Compiler Design, Data Structures and Algorithm Design, Data Analytics, Data Visualization and many more to undergraduate/ graduate students. I have extensive understanding of Sign Language Generation, Synthetic Data Generation, Data Analysis, Data Visualization, Artificial Intelligence, Statistical Computing and Machine Learning among many other.
I have developed course curriculum for undergraduate/ graduate program and online course contents. I have worked as coordinator for accreditation (ABET, WASC, IET UK, NBA and NAAC) committee at department/ institute/ university level. I have worked as a mentor, faculty advisor and program leader. I have been actively supervising post-grads for their dissertations and under-grads for their projects.
I have experience of heading funded projects as Principal Investigator. Presently, I have been supervising 02 PhD scholars for their doctoral research. I have published more than 27 peer-reviewed research articles in International Journals and Conferences. I have been a recipient of a International Travel Grant and a Research Grant. I have filed a patent with the USPTO in January 2025.
RESEARCH INTERESTS
Sign Language Generation
Synthetic Data Generation (multi-modal tabular data, multi-variate time series data, biomedical images and signals)
Generative Models
Data Analytics, Machine Learning and Cyber Security
Verification of Machine Learning Models
SKILLS
Synthetic Data Generation (multi-modal tabular data, multi-variate time series data, biomedical images and signals)
AI/ ML Methodologies, Data Analysis and Mathematical modelling
Deep learning frameworks (Pytorch, TensorFlow)
Programmimg: Python (numpy, panda, scikit-learn, matplotlib), R, C, C++
Employment
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University of Memphis Associate Professor of Health Informatics2026 - Present
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Robert Morris University Assistant Professor2024 - 2026
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Robert Morris University Visiting Faculty/ Scholar2024 - 2024
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Institute of Engineering and Technology Lucknow Assistant Professor2017 - 2024
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Amity University Assistant Professor2010 - 2017
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Moradabad Institute of Technology Lecturer2007 - 2009
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- FedSDMU: A new Paradigm for Healthcare Data Privacy Compliance using Federated Synthesis, Differential Privacy, and Machine Unlearning Save
- Harnessing AI to Generate Indian Sign Language from Natural Speech and Text for Digital Inclusion and Accessibility Save
- Rigorous Experimental Analysis of Tabular Data Generated using TVAE and CTGAN Save
- Qualitative and Quantitative Evaluation of Multivariate Time-Series Synthetic Data Generated Using MTS-TGAN: A Novel Approach Save
- Predicting Influent and Effluent Quality Parameters for a UASB-Based Wastewater Treatment Plant in Asia Covering Data Variations during COVID-19: A Machine Learning Approach Save
- Modeling of Support Vector Machine for Intrusion Detection System in Ad-hoc Networks Using R Programming Save
- Data Visualization of Influent and Effluent Parameters of UASB-based Wastewater Treatment Plant in Uttar Pradesh Save
- A behavioural theory for intrusion detection system in mobile ad-hoc networks Save
- Process calculi for intrusion detection system in mobile ad-hoc networks Save
- Distance based angular multicast routing protocol for mobile ad hoc networks (DA-MRP) Save