Abdul Bais

People

Graduate students, postdoctoral fellows and undergraduate researchers I supervise or have supervised.

Current team

PhD students

  • Muhammad Shabbir Hasan
    Smart Edge Devices for Applications in Agriculture
    Since 2024
  • Ayesha Anzer
    Multisource Data Fusion for Autism Spectrum Disorder Detection Using Foundation Models
    Since 2024

MASc students (thesis)

  • Christopher Joseph Ode
    Kochia Detection and Quantification in Aerial Images
    Since 2026
  • Jaweria Zaman
    Wild Oats Detection in Narrow Leaf Crops
    Since 2026
  • Marya Alamzeb
    High-throughput Imaging and ML Tools for Vascular Trait Phenotyping in Wheat Stems
    Since 2026
  • Mohammad Shamsher
    Quantification of Wheat Stomata in Microscopic Images
    Since 2026

MEng students (project)

  • Ali Naqvi
    Wheat Detection and Counting of Wheat Spikes Using a Lightweight Model
    Since 2026
  • Lukman Amidu
    Fusion of RGB and Thermal Imaging for Wheat Plot Classification
    Since 2026
  • Muhammad Ali
    Label-Efficient RGB–Event Semantic Segmentation
    Since 2026

Alumni

Postdoctoral fellows

6 completed

  • Muhib Ullah
    Developing Machine Learning Methods for RGB Images to Quantify Crops Across Agricultural Fields
    2026
    Algorithm Engineer, Super GeoAI Technology
  • Gaurav Walia
    Estimation of soil moisture and carbon content using radio frequency (RF) sensing and RGB images
    2025
    Postdoctoral Fellow/Sessional Instructor, University of Regina
  • Yingchao (Kelci) Huang
    Unsupervised Weed Segmentation
    2024
    Instructor, Saskatchewan Polytechnic
  • Muhammad Hamza Asad
    Developing Machine Learning Methods for RGB Images to Quantify Crops Across Agricultural Fields
    2023–2024
    Assistant Professor, University Canada West
  • Syed Aamir Ali Shah
    Noise Data Classification
    2021–2022
    Senior Machine Learning Engineer, Ground Truth Agriculture Inc.
  • Muhammad Asif Manzoor
    Data Centric Protein Extraction Process Optimization
    2018–2019
    Staff ML Compiler Engineer, Tenstorrent

PhD students

7 completed

  • Numair Nadeem
    Domain-Robust and Label-Efficient Semantic Segmentation Frameworks for Visual Scene Understanding
    2023–2026
    Artificial Intelligence Scientist, Precision AI
  • Nisar Ali
    High-Throughput UAV and AI-Based Phenotyping for Wheat Breeding Under Field Conditions
    2022–2026
    AI Algorithm Engineer, Super GeoAI Technology
  • Muhib Ullah
    Precision Canola: Consistency Analysis, Damage Quantification, and Insect Monitoring
    2021–2025
    Algorithm Engineer, Super GeoAI Technology
  • Olufemi Oluyemi
    Machine Learning Driven Parameter Extraction for Microwave Filter Design
    2020–2025Co-supervised
    Postdoctoral Fellow, University of Regina
  • Yingchao (Kelci) Huang
    Coping with the Distribution Change in Soil Classification with LIBS
    2021–2023
    Instructor, Saskatchewan Polytechnic
  • Muhammad Hamza Asad
    Application of Artificial Intelligence to Variable Rate Technology in Agriculture
    2019–2023
    Assistant Professor, University Canada West
  • Syed Aamir Ali Shah
    Parkinson’s Disease Classification, Monitoring and Optimization of Deep Brain Stimulation
    2017–2021
    Senior Machine Learning Engineer, Ground Truth Agriculture Inc.

MASc students (thesis)

16 completed

  • Shayan Jalilian
    Vision-Language Guided Parameter-Efficient Semantic Conditioning of the Segment Anything Model under Limited Supervision
    2024–2026
  • Ahmed Mohammed
    Spinel: A Framework for Counting Wheat Spikes and Kernels Using UAV and Ground-Based Imaging in Breeding Fields
    2022–2024
    Claims Analyst, Saskatchewan Government Insurance
  • Ekunayo (Ayo) Oluwabami Babalola
    Classification of Soil Surface Texture Using High-Resolution RGB Images Captured Under Uncontrolled Field Conditions
    2021–2023
    Data Scientist, Sasktel
  • Fatimah Islam
    Quantification of Crops’ Consistency on Corn Fields Using Robust Deep Learning Models
    2021–2023
    Engineer in Training, Transmission Engineering Stations, Saskpower
  • Niloufar Malekpour
    Part-Aware Vehicle Re-identification using Harder Negative Aware Triplet Loss and Attention Embedded Learnable Resizer
    2020–2022Co-supervised
    Data Scientist, Conexus Credit Union
  • Vincent Chan
    An Analysis of Shallow vs Deep Features for AI-Based Plant Disease Detection
    2018–2022
    Technology System Engineering Manager, Sasktel International
  • Danae Lemieux
    Design and Validation of a Data-Driven Infrastructure Decision and Planning Framework for Improving Climate Resiliency of Small Municipalities and Rural Communities
    2017–2022Co-supervised
    Senior Environmental Engineer/Operations Leader, NewFields Canada Inc.
  • Hafiz Sami Ullah
    A Deep Learning Based Approach for Canola and Weed Segmentation in Precision Agriculture
    2019–2021
    Machine Learning Engineer, RBC Borealis
  • Mohana Das
    DeepVeg: Deep Learning for Multiclass Segmentation of Weed, Canola and Canola Damage
    2018–2021
    Business Consulting Manager- Data Scientist, Sasktel
  • Muhammad Hamza Asad
    Application of AI for Variable Rate Technology in Agriculture
    2018–2019
    Assistant Professor, University Canada West
  • Ahmed Aleshinloye
    Data Reduction in Smart Grid
    2017–2018
    Senior Applied Scientist, Docusign
  • Umar Ahsan
    Distributed Architecture for Managing Big Data in Smart Grid
    2015–2017
    Data Scientist Consultant, Avanade
  • Syed Afaq Ali Shah
    Image Registration of Magnetic Resonance Scans of Human Organs for Diagnostic Purposes
    2008–2009NWFP University of Engineering and Technology Peshawar
    Senior Lecturer, Edith Cowan University, Australia
  • Muhammad Usman Karim Khan
    Real Time Line Feature Extraction: Design and Implementation
    2008–2009NWFP University of Engineering and Technology Peshawar
    Lead Solution and Performance Architect / Product Owner for Hybrid Cloud, IBM, Germany
  • Muzzammil Haroon Jan
    Capacity Planning in CDMA Systems
    2008–2009NWFP University of Engineering and Technology Peshawar
    Manager Voice Operation, Wateen Telecom Limited
  • Sajid Saleem
    Registration of Aerial and Satellite Farmland Imagery
    2007–2009NWFP University of Engineering and Technology Peshawar
    Associate Professor and HoD Computer Science, National University of Modern Languages, Islamabad, Pakistan

MEng students (project)

20 completed

  • Muhammad Emad Raza
    Wheat Plot Classification from Unaligned Hyperspectral Images: A Comparative Evaluation of Deep Learning Models Under Faulty Sensor Conditions
    2026
  • Muhammad Mubeen Tariq
    High-Throughput Stomata Detection Using a Handheld Edge Device
    2026
    Engineer in Training Reliability and Portfolio Management, SaskPower
  • Sahista Arif Kureshi
    Comparative Analysis of Semi-Supervised Learning (SSL) Techniques for Semantic Segmentation
    2025
    Cyber Security Analyst, SaskEnergy
  • Dev Joshi
    Evaluation of Plant Count Methods for Densely Populated Lentil Crops
    2025
    Research Coordinator, Suncrest College
  • Vasu Goswami
    Row Detection for Accurate Plant Counting: A Flax Case Study
    2024–2025
    Electrical Engineer-In-Training, Scovan
  • Muhammad Qamar Zaman
    Computer Vision-Driven Insect Monitoring: Detection and Counting of Flea Beetles
    2024–2025
    Electrical & Instrumentation Planner, Tacora Resources
  • Uzair Khan
    Canola Crop Damage Quantification Using Ensemble Semantic Segmentation Framework
    2024–2025
  • Shivam Sharma
    Quantification of Sunflower Crop Consistency Using Deep Learning
    2024
  • Akshat Rathod
    Machine Learning Based Quantification of Peas Crop
    2024
    IT Support Technician, The Nest Health Centre
  • Muhammad Ayoob Soomro
    Quantification of Dry Bean Crop Consistency Using Deep Learning Techniques
    2023–2024
    Electrical Engineer in Training, Stantec
  • Ahmad Sarfraz
    Wheat Kernel Count Estimation using Deep Learning Algorithm
    2023
    Warranty Analyst, Brandt Group of Companies
  • Ikenna Nwoko
    Wheat Midge Population Monitoring using Convolution Neural Network
    2022–2023
    Data Analyst, Brandt Group of Companies
  • Keyur Variya
    CNN Based Object Detection For Creating Crops Dataset
    2021
    Programmer / Systems Analyst, Information Services Corporation (ISC)
  • Raj Suthar
    Broadleaf Weed Classification System
    2020–2021
    Automation Engineer, Rockford Engineering Works Ltd.
  • Aravindh Reddy Chapala
    Machine Learning in Predicting Filter Design Parameters
    2020–2021Co-supervised
    Junior Machine Learning Engineer, Omdena
  • Tolulope Ogunleye
    Machine Learning in Predicting Filter Design Parameters
    2019–2020Co-supervised
    Junior RF Engineer, MDA.Space
  • Segun Ajileye
    An Embedded System for Image Based Forest Fire Detection
    2016
    Electrical Engineer - Reliability and Plant Engineering, K+S Potash Canada
  • Abhishek Rastogi
    Comparative Study of SDN Controllers – In Terms of Traffic Handling Capabilities
    2015–2016
    Team Lead - IT Technical Support, ISM Canada
  • Jaswinder Kaur
    Performance analysis of a wireless local area network system
    2014–2015
    IT Analyst, WBM Technologies
  • Zait Rahman
    Next Generation Network and IP Multimedia Subsystem (NGN/IMS)
    2014–2015
    Senior Security Engineer, Costco Wholesale, Seattle

Research interns and visiting students

5 completed

  • Kanwardeep Singh Pannu
    Using Machine Learning to Improve Underground Mine Roof Safety Evaluation
    2025Co-supervisedUniversity of Saskatchewan
    Machine Learning Researcher, University of Saskatchewan
  • Bao Yunqing
    Obstacle Detection and Avoidance in Remote Controlled Car Using Artificial Intelligence
    2019Beijing Institute of Technology
  • Sameer Kumar Pandey
    Chronic Disease Prediction using Artificial Intelligence
    2019Indian Institute of Technology (IIT ISM), Dhanbad, India
    Member of Technical Staff II, Adobe
  • Everton Augusto de Lima Andrade
    Location estimation of sensor nodes in ad-hoc wireless sensor networks
    2014
    Cloud Solution Architect and Co-founder, O3S, Brazil
  • Rodrigo da Silva Maia
    Characterization of an Inertial Measurement Unit
    2013

Undergraduate capstone projects

35 students advised across 16 design teams

  • Insect Counting System
    Josh Perez, Jakob Clinton, Angelo Walsh
    2023–2024
  • Robot for Fire Detection
    Selam Temnewo, Yash Gotherwal
    2023–2024
  • Quality of Life Monitoring System
    Curtis Ficor, Jadon Donais, Sharmarke Hassan
    2022–2023
  • Portable COVID-19 Screening Device
    Neel Rajesh Khatri, Ammar Alvi, Shannon D’souza
    2020–2021
  • Residential Wireless Air Flow Monitor
    Pengyue Wang, Jiachen Li, Zeyu Li
    2019–2020
  • Environmental Noise Monitoring
    Abdulaziz Alotaibi, Jose Lagrosa, Robin Pandher
    2018–2019
  • RC Car
    Mohammed Benhammou, Muhammad Ali Baloch
    2017–2018
  • Capstone design project
    Matthew Selin
    2017–2018
  • Programmable Live Audio Controller (PLAC)
    Vanessa Lee, Cameron David Gaveronski
    2016–2017
  • VoltRider eBike
    Zachary Ediger, Roger Boutin
    2015–2016
  • TreeFall - Active Noise Cancellation
    Jared Schroeder, Robert Tillie
    2015–2016
  • Gymtron: The Automatic Weight Training Tracker
    Mark Rumpel, Kyle Shaw
    2014–2015
  • Green Garage: Solar Design, Installation, and Evaluation
    Altejaney Kair, Jason Whitelaw
    2014–2015
  • Adala: A software tool for facilitating law enforcement agencies
    Hamad Al Marri
    2014–2015
  • Smart jacket
    Keabetswe Kootshotse, Patrick Ryan Stancu
    2013–2014
  • Power-line audio interface (PLAI) system
    Lindsey Dustin Lloyd Petersen, Dillon Charles Ruchotzke
    2013–2014