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Dr Pallavi Ranjan
Alumni

Dr Pallavi Ranjan

Assistant Professor (AI and Big Data)School of Computer Science, University of Wollongong in Dubai
Assistant Professor at the University of Wollongong in Dubai
7
Publications

About

Pallavi Ranjan is a NPerseus alumna and an Assistant Professor of AI and Big Data at the University of Wollongong in Dubai, where she teaches on the Master of Applied Artificial Intelligence programme. Her research covers computer vision, generative AI and hyperspectral imaging, with applications in remote sensing, environmental monitoring and disaster management. She earned her Ph.D. at DTU in 2024 and previously led the School of IT discipline at Murdoch University Dubai.

Research focus · Computer vision, hyperspectral imaging, generative AI, deep learning and remote sensing

Achievements

  • Inspirational Women Leader Award (2025), presented by Logitech, Qualcomm and Fortinet.
  • Commendable Research Award, Delhi Technological University (date not stated).
  • Best Paper Award, OPJU International Technology Conference (2023), for “A comparison of deep learning algorithms dealing with limited samples in hyperspectral image classification.”

Qualifications

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

Key Projects

  • MASUL

    A Data-Driven Game-Based Learning System for Ethical AI Use in Academia — UOW Dubai-funded project listed in 2025; AED 29,250 over 18 months. Pallavi Ranjan is a listed investigator alongside Farhad Oroumchian, Zeenath Reza Khan, Nkqubela Ruxwana, Dare Pitan, Veronika Krasnican and Mohamed Fawaz. Supports the Swiss MENA Project with CurveUp and the European Network for Academic Integrity. Current completion status is not stated.

    Project record →
University project listing ↗

Academic experience

  • University of Wollongong in Dubai: Assistant Professor of AI and Big Data; teaches on the Master of Applied Artificial Intelligence programme.
  • Murdoch University Dubai: previously Discipline Lead, School of IT, with work on the Artificial Intelligence and Autonomous Systems programme.
  • Middlesex University Dubai: earlier academic work included hosting and organising conferences with the British Computer Society, Cisco, Oracle MEA and The Assembly’s Robotics Club.

Research areas

  • AI and machine learning: predictive analytics, classification, pattern recognition and explainable AI, including healthcare, finance and remote sensing.
  • Computer vision: image processing, object detection, segmentation and hyperspectral classification using CNNs, Siamese networks, GANs and transformers.
  • Generative AI: diffusion models, autoencoders, data synthesis and augmentation; few-shot and zero-shot learning with limited labelled data.
  • Multimodal AI and NLP: combining visual, textual and spectral information for document analysis, semantic understanding and communication.
  • Hyperspectral, multispectral and satellite imaging: environmental monitoring, land-use mapping, urban development and geospatial analysis.
  • Remote sensing and earth sciences: disaster preparedness, early warning, risk assessment and smart-city applications.
  • Data science and visualisation: statistical modelling and analytics applied to finance, education and scientific research.

Professional service

  • Track leadership at COMSIA 2026 and ICPDN 2026, as listed by UOW Dubai.
  • Guest Editor, Journal of Electronic Imaging (dates not stated).
  • Senior Member, IEEE.
  • Previously Head of Oracle Academy MEA; advocacy for women in science and technology.

Affiliations listed by UOW Dubai

  • 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 SkillsBuild
  • Oracle Academy – Middle East
Subjects taught 17
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Computer Vision
  • Natural Language Processing
  • Large Language Models
  • Artificial Intelligence and Intelligent Systems
  • Capstone Projects and Project-Based Learning
  • Data Visualization and Simulation
  • System Analysis and Design
  • C, C++, C#, Java and Python
  • Business Information Systems in Practice
  • Theory of Computation
  • Design and Analysis of Algorithms
  • Discrete Mathematics and Data Structures
  • Statistical Models of Computer Science
  • Industry-aligned real-world projects

Patents · 8

Publications · 7

  1. Journal article
    A Dive into Generative Adversarial Networks in the World of Hyperspectral Imaging: A Survey of the State of the Art
    Pallavi Ranjan, Ankur Nandal, Saurabh Agarwal, Rajeev Kumar
    Remote Sensing, vol. 18(2), article 196 · 2026
    Catalogue record →DOI: 10.3390/rs18020196
  2. Journal article
    A Residual Pyramid-GAN Approach for Hyperspectral Image Classification
    Pallavi Ranjan, Ankur, Rajeev Kumar
    Annals of Data Science · 2026
    Catalogue record →DOI: 10.1007/s40745-025-00671-3
  3. Journal article
    High-capacity reversible data hiding in encrypted images based on difference image transfiguration
    Ankur, Rajeev Kumar, Ajay K. Sharma, Pallavi Ranjan
    Signal, Image and Video Processing, vol. 19(5), article 365 · 2025
    Catalogue record →DOI: 10.1007/s11760-025-03911-4
  4. Journal article
    Leveraging rANS for synchronized high capacity reversible data hiding in encrypted image
    Ankur, Rajeev Kumar, Pallavi Ranjan, Ki-Hyun Jung
    Expert Systems with Applications, vol. 267, article 126181 · 2025
    Catalogue record →DOI: 10.1016/j.eswa.2024.126181
  5. Journal article
    Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning
    Pallavi Ranjan, Anukriti Kaushal, Ashish Girdhar, Rajeev Kumar
    Earth Science Informatics, vol. 18(2), article 216 · 2025
    Catalogue record →DOI: 10.1007/s12145-025-01739-7
  6. Journal article
    A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images
    Pallavi Ranjan, Rajeev Kumar, Ashish Girdhar
    Neural Computing and Applications, vol. 36(15), pp. 8335–8354 · 2024
    Catalogue record →DOI: 10.1007/s00521-024-09527-y
  7. Journal article
    A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classification
    Pallavi Ranjan, Ashish Girdhar, Ankur, Rajeev Kumar
    Earth Science Informatics, vol. 17(6), pp. 5251–5271 · 2024
    Catalogue record →DOI: 10.1007/s12145-024-01451-y

Further work listed by UOW Dubai

Additional entries from the university profile. The lab’s reviewed publication and patent records are linked above; these source listings do not add to the catalogue totals.

Publications 19
  1. Deep Siamese network with handcrafted feature extraction for hyperspectral image classification
    Multimedia Tools and Applications · 2024
  2. A comprehensive systematic review of deep learning methods for hyperspectral image classification
    International Journal of Remote Sensing · 2022
  3. Xcep-Dense: A novel lightweight extreme inception model for hyperspectral image classification
    International Journal of Remote Sensing · 2022
  4. A cross-domain semi-supervised zero-shot learning model for the classification of hyperspectral images
    Journal of the Indian Society of Remote Sensing · 2023
  5. An interpretable 1D-CNN framework for stock price forecasting: A comparative study with LSTM and ARIMA
    FinTech · 2025
  6. Digital XBRL Automation: The Future of AI-Powered Financial Reporting and Analysis
    International Conference on Business Intelligence for Technology Innovation (ICBITI) · 2025
  7. Next-gen imaging: The power of hyperspectral data and autoencoders
    International Conference on AI and Speech Technology · 2025
  8. Redefining vision tasks: The power of transformers in classification, detection, and segmentation
    International Conference on AI and Speech Technology · 2025
  9. Unlocking the potential of unlabelled data: Semi-supervised learning for stratification of hyperspectral images
    OITS International Conference on Information Technology · 2024
  10. Exploring the cutting edge of AI in hyperspectral image classification
    Society of Electronic Engineers of Korea · 2024
  11. Enhanced phishing URL detection through stacked machine learning model
    International Conference on Intelligent Systems for Cybersecurity · 2024
  12. A comparison of deep learning algorithms dealing with limited samples in hyperspectral image classification
    OPJU International Technology Conference · 2023
  13. Recent CNN advancements for stratification of hyperspectral images
    6th International Conference on Information Systems and Computer Networks · 2023
  14. Deep learning for detection of COVID-19 pneumonia: Multiclass classification
    Innovative Applications of Computational Intelligence · 2020
  15. Digitalization using IIoT and cloud technology in oil and gas upstream — merits and challenges
    International Petroleum Technology Conference · 2019
  16. A review paper on Big Data Analytics
    IOSR Journal of Computer Engineering · 2019
  17. The best-of-n problem with dynamic site qualities: Achieving adaptability with stubborn individuals
    International Conference on Swarm Intelligence · 2018
  18. Comparative analysis of software effort estimation techniques
    International Journal of Computer Applications · 2012
  19. Estimating the probability of project completion by SIM_DEL estimator
    International Journal of Computer Science and Information Technologies · 2012
Patent applications 3

Application references listed by the university; current grant status has not been established here.

  • Wearable device for providing dynamic feedback to a user
    India · Application 202511050518 · 2025
  • 3D bio-printing device and system for wound healing
    India · Application 202111006553 · 2021
  • Self-sanitising attendance recorder with thermal screening
    Australia · Application 2020104395 · 2020

University profile and full source listing ↗ · Reviewed 2026-09-05