Qaiser Abbas

I am a Sr. Machine Learning Engineer at Oscar AI, where I currently work on machine learning, data science, and NLP application development to solve complex business problems. Before joining Oscar I worked at Octopus Digital, SDSol Technologies, and UET Lahore with ML, Generative AI, NLP, Time Series Forecasting and Speech Recognition in healthcare, education and oil & gas sector.

I am broadly interested in learning from limited data for visual recognition problems. My primary area of interests include transfer learning and self supervised learning with applications to Medical Image Computing, Agriculture, and Vision based Industrial Defects Detection. I believe that artifical vision and learning from limited data can help us in improved object recognition, detection and segmentation to solve real-world vision problems.

I am especially interested in developing robust, accurate, data & label efficient, real-time and interpretable medical diagnostics methods that can be used in real world clinical settings to help medical professionals in thier daily tasks. I believe that methods developed, can be equally effective in other domains sharing same data sources. I am also intrested in leveraging LLMs, LVMs and LMMs for medical and health informatics.

news

May 26, 2025	Paper “Adversarial Attacks on video anomaly detection” has been accepted for publication in Internet of Things. Access the Paper PDF at the following link
Sep 07, 2023	Network Intrusion Detection Paper’s PDF is now available online.
Aug 07, 2023	Our paper related to network security and ML, entitled “Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems” has been accepted for publication in “PeerJ Computer Science”.
May 29, 2023	Punjabi NER Paper’s PDF is now available online.
Apr 22, 2023	A paper entitled “Using Data Augmentation and Bidirectional Encoder Representations from Transformers for Improving Punjabi Named Entity Recognition” has been accepted for publication in The ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Nov 07, 2022	I have joined SDSol Technologies as a Machine Learning Engineer. I will work on deep learning and computer vision projects.
Oct 10, 2022	Part of my MS thesis published in SN Computer Science. Detection and Classification of Malignant Melanoma Using Deep Features of NASNet
Mar 22, 2022	Our research proposal for “Tea Plant Disease Prediction using Remote Sensing and Machine Learning” got funding of PKR 3.5M by NRPI.
Oct 07, 2021	First paper from my MS thesis work published. Acral melanoma detection using dermoscopic images and convolutional neural networks
Sep 01, 2021	I joined WortelAI as a part time Software Engineer (Deep Learning and Computer Vision)
Mar 01, 2021	I joined Department of Computer Science as a Teaching Fellow @ UET Lahore.

selected publications

Acral melanoma detection using dermoscopic images and convolutional neural networks

Qaiser Abbas, Farheen Ramzan, and Muhammad Usman Ghani

Visual Computing for Industry, Biomedicine, and Art, 2021

Bib PDF Code

@article{abbas2021acral,
  title = {Acral melanoma detection using dermoscopic images and convolutional neural networks},
  author = {Abbas, Qaiser and Ramzan, Farheen and Ghani, Muhammad Usman},
  journal = {Visual Computing for Industry, Biomedicine, and Art},
  volume = {4},
  pages = {1--12},
  year = {2021},
  publisher = {Springer},
}

Using data augmentation and bidirectional encoder representations from transformers for improving Punjabi named entity recognition

Hamza Khalid, Ghulam Murtaza, and Qaiser Abbas

ACM Transactions on Asian and Low-Resource Language Information Processing, 2023

Bib PDF Code

@article{khalid2023using,
  title = {Using data augmentation and bidirectional encoder representations from transformers for improving Punjabi named entity recognition},
  author = {Khalid, Hamza and Murtaza, Ghulam and Abbas, Qaiser},
  journal = {ACM Transactions on Asian and Low-Resource Language Information Processing},
  volume = {22},
  number = {6},
  pages = {1--13},
  year = {2023},
  publisher = {ACM New York, NY},
}

Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems

Qaiser Abbas, Sadaf Hina, Hamza Sajjad, and 2 more authors

PeerJ Computer Science, 2023

Bib PDF Code

@article{abbas2023optimization,
  title = {Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems},
  author = {Abbas, Qaiser and Hina, Sadaf and Sajjad, Hamza and Zaidi, Khurram Shabih and Akbar, Rehan},
  journal = {PeerJ Computer Science},
  volume = {9},
  pages = {e1552},
  year = {2023},
  publisher = {PeerJ Inc.},
}

Adversarial attacks on artificial Intelligence of Things-based operational technologies in theme parks

Sadaf Hina, Qaiser Abbas, and Kashan Ahmed

Internet of Things, 2025

Bib PDF Code

@article{hina2025adversarial,
  title = {Adversarial attacks on artificial Intelligence of Things-based operational technologies in theme parks},
  author = {Hina, Sadaf and Abbas, Qaiser and Ahmed, Kashan},
  journal = {Internet of Things},
  pages = {101654},
  year = {2025},
  publisher = {Elsevier},
}