CV

Education

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• Ph.D. in Computer Science, Hamad Bin Khalifa University, Doha, Qatar, 2023
  • Focus: Novel augmentation algorithms on imbalanced data, optimization techniques for deep neural networks
  • GPA: 3.71/4
• M.Tech. in Information Technology, International Institute of Information Technology, Bangalore, India, 2017
  • Major: Data Science
  • GPA: 3/4
• B.Tech. in Computer Science and Engineering, BP Poddar Institute of Management and Technology, Kolkata, India, 2012
  • GPA: 8.57/10

Work Experience

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• May 2023 - Present: Post Doctoral Researcher
  • Hamad Bin Khalifa University, Qatar
  • Duties include deep learning at high frequency, image processing, and optimizing large language models
  • Supervisor: Not listed
• Jul 2017 - Aug 2019: Data Scientist
  • Development Bank Of Singapore, Hyderabad, India
  • Duties included application of machine learning in ATM demand forecasting, optimization of routes, and analytics in procurement
  • Supervisor: Not listed
• Jan 2017 - Jun 2017: Developer
  • National Instruments, Bangalore, India
  • Duties included working on ActiveX, C#, Python, and other technologies; created wrapper for Python modules using C/Python API
  • Supervisor: Not listed
• Sep 2012 - Feb 2014: Programmer Analyst
  • Cognizant Technology Solutions, Kolkata, India
  • Worked in Mainframe (COBOL, JCL, REXX, DB2) in the General Insurance domain
  • Supervisor: Not listed

Consultancy Experience

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• Sep 2023: LLM - RAG Specialist
  • Ace Resource Advisory Services, Kuala Lumpur, Malaysia
• Apr 2020: Computer Vision & Surveillance Management
  • Hipla.io, Singapore
• Sep 2019: Data Engineer
  • IBM Redhat, Bangalore, India

Skills

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• Machine Learning and Deep Learning
  • Frameworks: Pytorch, Tensorflow
  • Sub-skills: Model Optimization, Data Augmentation
• Programming Languages
  • Python, Java, C
• Cloud and Backend Technologies
  • AWS, Google Cloud, Docker, MongoDB, Postgres
• Web Development
  • Flask, Heroku

Publications

Introducing Novel Radon-Based Transform for Disease Detection From Chest X-Ray Images

Islam, A., Mohsen, F., Shah, Z., & Belhaouari, S. B. (2024). "Introducing Novel Radon-Based Transform for Disease Detection From Chest X-Ray Images." In 2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS) (pp. 1--5). IEEE. https://doi.org/10.1109/PAIS62114.2024.10541204

Oversampling Techniques for Imbalanced Data in Regression

Belhaouari, S. B., Islam, A., Kassoul, K., Al-Fuqaha, A., & Bouzerdoum, A. (2024). "Oversampling Techniques for Imbalanced Data in Regression." Expert Systems with Applications, 252, 124118. https://doi.org/10.1016/j.eswa.2024.124118

Pushing Boundaries: Exploring Zero-Shot Object Classification with Large Multimodal Models

Islam, A., Biswas, M. R., Zaghouani, W., Belhaouari, S. B., & Shah, Z. (2023). "Pushing Boundaries: Exploring Zero-Shot Object Classification with Large Multimodal Models." In 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp. 1--5). IEEE. https://doi.org/10.1109/SNAMS60348.2023.10375440

Neural Network Optimization with Weight Evolution

Belhaouari, S. B., & Islam, A. (2023). "Neural Network Optimization with Weight Evolution." In ICML 2023 Workshop Neural Compression: From Information Theory to Applications.

Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach

Islam, A., & Belhaouari, S. B. (2023). "Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach." IEEE Access, 11, 28416--28426. https://doi.org/10.1109/ACCESS.2023.3259236

Framework Design for Similar Video Detection: A Graph-Based Video Clustering Approach

Al-Thani, N. F., Islam, A., Belhaouari, S. B., & Faramarzinia, S. (2022). "Framework Design for Similar Video Detection: A Graph-Based Video Clustering Approach." In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 571--576). IEEE. https://doi.org/10.1109/ISMSIT56059.2022.9932834

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)

Stragapede, G., Vera-Rodriguez, R., Tolosana, R., Morales, A., Fierrez, J., Ortega-Garcia, J., Rasnayaka, S., Seneviratne, S., Dissanayake, V., Liebers, J., et al. (2022). "IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)." In 2022 IEEE International Joint Conference on Biometrics (IJCB) (pp. 1--7). IEEE. https://doi.org/10.1109/IJCB54206.2022.10007985

Analysing Keystroke Dynamics Using Wavelet Transforms

Islam, A., & Belhaouari, S. B. (2022). "Analysing Keystroke Dynamics Using Wavelet Transforms." In 2022 IEEE International Carnahan Conference on Security Technology (ICCST) (pp. 1--5). IEEE. https://doi.org/10.1109/ICCST52959.2022.9896483

Smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights

Islam, A., & Belhaouari, S. B. (2022). "Smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights." In International Conference on Machine Learning, Optimization, and Data Science (pp. 62--76). Springer.

K Nearest Neighbor OveRsampling Approach: An Open Source Python Package for Data Augmentation

Islam, A., Belhaouari, S. B., Rehman, A. U., & Bensmail, H. (2022). "K Nearest Neighbor OveRsampling Approach: An Open Source Python Package for Data Augmentation." Software Impacts, 12, 100272. https://doi.org/10.1016/j.simpa.2022.100272

KNNOR: An Oversampling Technique for Imbalanced Datasets

Islam, A., Belhaouari, S. B., Rehman, A. U., & Bensmail, H. (2022). "KNNOR: An Oversampling Technique for Imbalanced Datasets." Applied Soft Computing, 115, 108288. https://doi.org/10.1016/j.asoc.2021.108288

Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

Yaqot, M., Franzoi, R. E., Islam, A., & Menezes, B. C. (2022). "Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept." IEEE Access, 10, 127636--127653. https://doi.org/10.1109/ACCESS.2022.3226942

Class Aware Autoencoders for Better Feature Extraction

Islam, A., & Belhaouari, S. B. (2021). "Class Aware Autoencoders for Better Feature Extraction." In 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1--5). IEEE. https://doi.org/10.1109/ICECCE52056.2021.9514202

Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence

Rehman, A. U., Islam, A., & Belhaouari, S. B. (2020). "Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence." IEEE Access, 8, 189382--189394. https://doi.org/10.1109/ACCESS.2020.3031003

Talks

Pruning and Optimizing Large Language Models in an Era of GPU Scarcity

July 01, 2024

Conference proceedings talk at The 2024 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'24) - ICAI'24 - The 26th Int'l Conf on Artificial Intelligence, Las Vegas, Nevada

Teaching

Deep Fake Detection Using CNN

Teaching Assistant