• Senior Fellow of the Higher Education Academy (SFHEA), Murdoch University (2025)
• PhD in Artificial Intelligence and Machine Learning, Delhi Technological University, India (2024)
• Fellow of the Higher Education Academy (FHEA), Middlesex University (2017)
• M.Tech and B.Tech - Computer Science and Engineering, Kurukshetra University, India (2012 and 2010)

https://scholar.google.com/citations?user=hLQH9BUAAAAJ&hl=en

JOURNALS

1. A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images.
   Neural Computing and Applications  ·  Springer · 2024  
2. Leveraging rANS for synchronised high-capacity reversible data hiding in encrypted images.  
   Expert Systems with Applications  ·  Elsevier · 2025
3. A residual pyramid-GAN approach for hyperspectral image classification.
   Annals of Data Science ·  2026
4. A dive into generative adversarial networks in the world of hyperspectral imaging: A survey of the state of the art.  
   Remote Sensing  ·  2026  
5. Deep Siamese network with handcrafted feature extraction for hyperspectral image classification.  
   Multimedia Tools and Applications  ·  Springer · 2024  
6. A comprehensive systematic review of deep learning methods for hyperspectral image classification.  
   International Journal of Remote Sensing  ·  2022 
7. Xcep-Dense: A novel lightweight extreme inception model for hyperspectral image classification.  
   International Journal of Remote Sensing  ·  2022
8. High-capacity reversible data hiding in encrypted images based on difference image transfiguration.  
   Signal, Image and Video Processing  ·  Springer · 2025
9. Revolutionizing hyperspectral image classification for limited labelled data: Unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning.  
   Earth Science Informatics  ·  Springer · 2025  
10. A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classification.
    Earth Science Informatics  ·  Springer · 2024  
11. A cross-domain semi-supervised zero-shot learning model for the classification of hyperspectral images.  
    Journal of the Indian Society of Remote Sensing  ·  Springer · 2023 .
12. An interpretable 1D-CNN framework for stock price forecasting: A comparative study with LSTM and ARIMA.  
    FinTech · 2025

PATENTS FILED

1. Wearable device for providing dynamic feedback to a user  
   Intellectual Property India  ·  Ref: 202511050518  ·  2025
2. System and method for updating group profile image based on topic and argument engagement analysis.  
   Intellectual Property India  ·  2025
3. Adaptive audio output system and method thereof  
   Indian Patent Office  ·  Ref: 202511004867  ·  2025
4. System and method for quantifying and predicting the resilience of agro-ecosystems.  
   Indian Patent Office  ·  Ref: 202511006121  ·  2025
5. Method and system for generating dynamic alert in a messaging platform  
   Intellectual Property India  ·  Ref: 202411062294  ·  2024
6. Method and system for automatic transmission of authentication codes  
   Intellectual Property India  ·  Ref: 202411054265  ·  2024
7. Method and system for enhancing handwritten content on a smart board  
   Intellectual Property India  ·  Ref: 202411080365  ·  2024
8. AI-driven configuration clustering and blockchain privacy system  
   Indian Patent Office  ·  Ref: 202411097543  ·  2024
9. System and method for underwater object detection using aerial hyperspectral imaging.  
   Intellectual Property India  ·  Ref: 202411077385  ·  Jun 2024
10. 3D bio-printing device and system for wound healing  
    Intellectual Property India  ·  Ref: 202111006553  ·  Feb 2021
11. Self-sanitising attendance recorder with thermal screening.  
    Australian Patent Office  ·  Ref: 2020104395  ·  Dec 2020

CONFERENCES & BOOK CHAPTERS

1. Digital XBRL Automation: The Future of AI-Powered Financial Reporting and Analysis.  
   2025 International Conference on Business Intelligence for Technology Innovation (ICBITI)  ·  2025
2. Next-gen imaging: The power of hyperspectral data and autoencoders.  
   International Conference on AI and Speech Technology  ·  2025  ·  Springer
3. Redefining vision tasks: The power of transformers in classification, detection, and segmentation.  
   International Conference on AI and Speech Technology  ·  2025  ·  Springer
4. Unlocking the potential of unlabelled data: Semi-supervised learning for stratification of hyperspectral images.  
   OITS International Conference on Information Technology  ·  2024  ·  IEEE
5. Exploring the cutting edge of AI in hyperspectral image classification.  
   Society of Electronic Engineers of Korea  ·  2024
6. Enhanced phishing URL detection through stacked machine learning model.  
   International Conference on Intelligent Systems for Cybersecurity  ·  2024  ·  IEEE
7. A comparison of deep learning algorithms dealing with limited samples in hyperspectral image classification.  
   OPJU International Technology Conference  ·  2023  ·  IEEE · ^{Best Paper Award}  
8. Recent CNN advancements for stratification of hyperspectral images.  
   6^th International Conference on Information Systems and Computer Networks  ·  2023  ·  IEEE
9. Deep learning for detection of COVID-19 pneumonia: Multiclass classification.  
   Innovative Applications of Computational Intelligence  ·  2020  ·  IEEE
10. Digitalization using IIoT and cloud technology in oil and gas upstream — merits and challenges.  
    International Petroleum Technology Conference  ·  2019
11. A review paper on Big Data Analytics.  
    IOSR Journal of Computer Engineering  ·  2019
12. The best-of-n problem with dynamic site qualities: Achieving adaptability with stubborn individuals.  
    International Conference on Swarm Intelligence  ·  2018  ·  Springer · Book Chapter
13. Comparative analysis of software effort estimation techniques.  
    International Journal of Computer Applications  ·  2012
14. Estimating the probability of project completion by SIM_DEL estimator.  
    International Journal of Computer Science and Information Technologies  ·  2012  ·  Scopus Indexed

Dr Pallavi's research spans several key areas in Artificial Intelligence: 

1. Artificial Intelligence & Machine Learning: Design and application of machine learning, deep learning, and large language models (LLMs) for predictive analytics, classification, and pattern recognition. Includes research into explainable AI (XAI) to ensure transparent and interpretable model decisions across high-stakes domains including healthcare, finance, and remote sensing.
2. Computer Vision & Image Processing: Development of novel deep learning architectures including CNNs, Siamese networks, GANs, and transformer-based models for object detection, segmentation, hyperspectral image classification, and visual understanding tasks.
3. Generative AI & Few-Shot Learning: Investigation of generative adversarial networks, diffusion models, and autoencoder-enhanced architectures for data synthesis and augmentation. Research into few-shot and zero-shot learning frameworks that generalise effectively from minimal labelled data in resource-constrained environments.
4. Multimodal & NLP Systems: Exploration of multimodal AI systems that integrate visual, textual, and spectral data sources. Research into natural language processing and large language models for intelligent document analysis, semantic understanding, and AI-driven communication.
5. Hyperspectral, Multispectral & Satellite Imaging: Specialised deep learning models for processing and classifying hyperspectral and multispectral satellite data, with applications spanning environmental monitoring, land use mapping, urban development, and geospatial intelligence.
6. Remote Sensing, Earth Sciences & Disaster Management: Application of AI and satellite imaging to analyse geophysical and environmental data, support urban mapping and smart city development, and build intelligent early-warning and risk assessment systems for emergency preparedness and disaster response.
7. Data Science & Visualisation: Application of statistical modelling, data analytics, and visualisation techniques to extract actionable insights from large and complex datasets, with emphasis on real-world deployment in finance, education, and scientific research.

FUNDED PROJECTS

MASUL: A Data-Driven Game-Based Learning System for Ethical AI Use in Academia
University of Wollongong in Dubai · 2025 · Duration: 18 Months · Funding: AED 29,250

Supporting the Swiss MENA Project, with support from CurveUp and the European Network for Academic Integrity. Mas'ūl, derived from Arabic, reflects the concept of responsibility and accountability in the use of AI systems.

Investigators: Prof Farhad Oroumchian, Dr Zeenath Reza Khan, Dr Nkqubela Ruxwana, Dr Pallavi Ranjan, Dr Dare Pitan, Ing Veronika Krasnican, Mr Mohamed Fawaz

• Association for the Advancement of Artificial Intelligence (AAAI)
• WiSTEM, Women in AI – UAE Chapter
• ACM's Committee on Women in Computing
• CISCO Networking Academy
• AWS Educate
• IBM Skills Build
• Oracle Academy - Middle East

• Machine Learning
• Deep Learning
• Neural Networks 
• Computer Vision 
• Natural Language Processing 
• Large Language Models
• Artificial Intelligence & Intelligent Systems 
• Capstone Projects & Project-Based Learning
• Data Visualization and Simulation
• System Analysis and Design
• C, C++, C#, Java, Python.
• Business Information Systems in Practice
• Theory of Computation
• Design and Analysis of Algorithms
• Discrete Mathematics & Data Structures
• Statistical Models of Computer Science
• Real World Projects aligned with Industry