Anjli Varghese

Anjli Varghese

Assistant Professor
anjli.varghese@mahindrauniversity.edu.in

Dr. Anjli Varghese is an Assistant Professor in the Department of Electrical and Computer Engineering at Ecole Centrale School of Engineering, Mahindra University. She received a PhD in 2024 from BITS Pilani, K. K. Birla Goa Campus, India, in the domain of Image Processing and Machine Learning for Automatic Identification of Animal Species from Leather Samples. She created and published the novel open-source leather image dataset (LeaData), a digital library for leather species prediction. Her research interests include digital signal processing, digital image processing, machine learning, and computer vision.

Education

  • Doctoral Degree (Ph.D.) in the Discipline of Electrical and Electronics Engineering from BITS-Pilani K. K. Birla Goa Campus, Goa, India (Jan 2019 – July 2024).
    Thesis Title: “Automatic Leather Species Identification using Digital Microscopic Image Analysis”.
  • Master’s Degree (M.Tech.) in the Discipline of Signal Processing from Siddaganga Institute of Technology, Tumakuru, Karnataka, India (Aug 2016 – June).
    Thesis Title: “Improving License Plate Recognition Rate using Hybrid Algorithms for Real-Time Applications”.
  • Bachelor’s Degree (B.E.) in the Discipline of Electronics and Communication Engineering from Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India (Aug 2012 – May 2016).

Experience

  • Jan 2026 – Present: Assistant Professor in the Department of Electrical and Computer Engineering at Mahindra University, Hyderabad, Telangana, India.
  • July 2018 – Dec 2018:  Junior Research Fellow in the Department of Electronics and Communication Engineering at Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Worked on a SERB-DST-funded project on the analysis of dysarthric speech signals using the vowel formant transformation technique.

Journals

  • Varghese A., Jawahar M. & Prince A.A., “LeaData a novel reference data of leather images for automatic species identification,” Scientific Reports, Nature, 15, 4493, 2025.
  • Varghese A., Jawahar M., Prince A.A. & Gandomi A. H., “LBPMobileNet-based novel and simple leather image classification method,” Neural Computation & Application, 2025.
  • Varghese A., Jain S., Jawahar M. & Prince A.A., "Auto-pore segmentation of digital microscopic leather images for species identification," Engineering Applications of Artificial Intelligence, vol. 126, no. Part C, p. 107049, 2023.
  • Varghese A., Jawahar M. & Prince A.A., “Learning species-definite features from digital microscopic leather images,” Expert Systems with Applications, vol. 224, no. March, p. 119971, 2023.
  • Varghese A., Jain S., Jawahar M. & Prince A.A., “Digital Microscopic Image Sensing and Processing for Leather Species Identification,” IEEE Sensors Journal, vol. 20, no. 17, pp. 10045-10056, 2020.
  • Varghese A., & Srikantaswamy R., “Improving License Plate Recognition Rate using Hybrid Algorithms,” Journal of Emerging Technologies and Innovative Research, Vol. 5, pp. 276-281, 2018.

Conferences

  • Varghese A., Jawahar M. & Prince A.A., “Fine-tuning ConvNets with novel leather image data for species identification,” in 15th International Conference on Machine Vision (ICMV), Rome, Italy, SPIE, 2023, vol. 12701, p. 127010J.
  • Varghese A., Jawahar M. & Prince A.A., "A Study on Deep Learning Models for Automatic Species Identification from Novel Leather Images," in IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, IEEE, 2023, pp. 25-30.
  • Varghese A., Jawahar M. & Prince A.A., "A Heterogeneous Ensemble Learning Approach for Leather Species Prediction," in 5th International Conference on Computer Communication and the Internet (ICCCI), Fujisawa, Japan, IEEE, 2023, pp. 20-26.
  • Varghese A., Jawahar M. & Prince A.A., "Transfer Learning-based Rich Feature Analysis on Leather Images for Species Prediction," in 10th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, IEEE, 2023, pp. 301-305.
  • Varghese A., Jawahar M., Prince A.A. & Gandomi A. H., "Texture Analysis on Digital Microscopic Leather Images For Species Identification," in 9th International Conference on Soft Computing & Machine Intelligence (ISCMI), Toronto, Canada, IEEE, 2022, pp. 223-227.
  • Varghese A., Jawahar M., Gupta P. & Prince A.A., "Adaptive Learning for Leather Image Pre-processing Using GAN," in: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing (CVIP), Nagpur, India, 2022, Communications in Computer and Information Science, vol. 1776, Springer, Cham.
  • Varghese A., Sowmya M. C. & Karjigi V., "Vowel Formant Transformation Techniques for Dysarthric Speech," in 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India, 2019, pp. 174-178.
  • Varghese A., & Srikantaswamy R., “Comparative Analysis of Vehicle Tracking Approaches,” in National Conference on Recent Trends in Electrical Sciences, 2018, pp. 8-12.

Open Source Data

  • Varghese A., Jawahar M. & Prince A.A., (2024), LeaData: a novel reference data of digital microscopic leather images for automatic species identification [Dataset], Dryad.

Dr. Anjli Varghese received the 4-year Fellowship Award from the Tata Consultancy Services-Research Scholar Program (TCS-RSP), Cycle-15 (July 2019 – June 2023), for the project entitled “Automatic Leather Species Identification using Digital Microscopic Image Analysis.”

She is interested in extending research on AI applications for microscopic and biomedical image analysis and stock market data analysis.