Md Al Maruf

🎓 Education

• Ph.D., Electrical and Computer Engineering [2019 - 2023]
  • Ontario Tech University, Canada
  • Supervisor: Dr. Akramul Azim
  • Dissertation: Design and Development of Reusable Feature-based Next-Generation Embedded Software
  • Research Area: Embedded Software, Fog/Edge Distributed Computing, Machine Learning
• MASc., Electrical and Computer Engineering [2017 - 2019]
  • Ontario Tech University, Canada
  • Thesis: Design automation & QoS requirements preservation for multiprocessor embedded systems 🔗
  • Research Area: Task Scheduling, Parallel Computing and Embedded Systems
• B.Sc., Computer Science and Engineering [2009 - 2013]
  • Islamic University of Technology (IUT), Bangladesh
  • Research Area: Cloud Computing

💼 Employment

• Algoma University, Assistant Professor (Tenure-Track) [May 2025]
  • Course: Algorithm and Data Structure, Deep Learning
• Durham College, Teaching Professor [2024 – 2025]
  • Teaching Course: Data Management(DAMA-DMBOK, SQL, Snowflake, PowerBI), Software Testing and Automation, System Development
• Ontario Tech University, Sessional Lecturer [2024 – 2024]
  • Teaching Course: Software Engineering Studio, Algorithms and Data Structures, Data Analytics
• IBM CAS, Research Associate [2023-2023]
  • Project: Software Lock Contention and Fault Localization Recommender System
  • Working to integrate the Large Language Models to detect Lock Contention
• Ontario Tech University, Teaching & Research Assistant [2017 – 2023]
  • Member of RTEMSOFT Research Lab
  • Engaged in different research areas including accelerating ML model training, Task Scheduling and Embedded Software Development
  • Contributed to the HIL Test Bench using CARLA simulator
  • Served as a Course TA for Embedded Systems, Software Quality, OOP, Software Design & Arch
  • Designed and Conducted Labs for Database Management Systems (MySQL, NBA API, Flask)
• Mobile Innovations Corporations, Software Development Intern [2021 – 2021]
  • EPNB Application Development (Microsoft Azure and ASP.NET (C#))
  • Developed Fillable Templates and Forms Design Application using JavaScript
• QA Consultants, Software Development Intern [2020 – 2020]
  • Analyzed Controlled Area Network (CAN) using OMNET++, Python QT5, Sqlite3
• Daffodil International University, Lecturer [2015 – 2017]
  • Taught Courses (Data Structure, Programming C/C++ & Java, Simulation and modeling)
• Nascenia IT, Junior Software Engineer [2014 – 2015]
  • Worked in developing a Travel Management Platform named WellTravel using Ruby on Rails
  • Technologies: Ruby on Rails 4.1, PostgreSQL, Sidekiq, Apache Server, Semaphore, SoapUI
  • Worked in project SimpleSignUp an Event Management SaaS (Ruby on Rails, MySQL)
  • Worked in creating APIs for Blood Donor Management System (PHP, Laravel)
  • Worked in developing viigii - A Virtual Gifting System for eCommerce Platform (Ruby on Rails)

🔬 Research & Development Projects

• A Feature and Requirement Extraction Tool for Improving Embedded Software Reuse 🔗
  • Extracted features and requirements of embedded systems from GitHub repositories.
  • Utilized NLP techniques: BERT (CodeBERT), TF-IDF, Topic Modeling.
• A Framework for Over-the-Air (OTA) Software Update 🔗
  • Integrated Uptane framework within Fog Computing for faster and secure updates.
  • Leveraged Transfer Learning for communication latency analysis.
• Real-Time Aircraft Landing Detection Application 🔗
  • Real-time anomaly detection for safer aircraft landings.
  • Preprocessed ping station (YOW Airport Runway) raw data of aircraft landing events.
  • Developed online ML model training web application using PHP-ML.
  • Implemented using Laravel, PHP, JavaScript, Python and backed by MySQL.
• A Machine Learning Model Parallelism Tool
  • Boost machine learning computation through model parallelism.
  • Employed algorithms: CNN, AlexNet, SVM, RF.
  • Utilized TensorFlow, CUDA and OpenMP for parallel computation. 🔗
  • Tasks Scheduling using EDF and RM.
• Anomaly Detection Tool
  • Analyzed Automotive Communication Bus (LIN, CAN, FlexRay).
  • Developed an Anomaly Detection framework for Automotive CAN bus networks.
• A Mushroom Supply and Demand Prediction Application 🔗
  • Developed a dashboard for Greenwood farm Management using Laravel and MySQL.
  • The application handles different sales orders and real-time data monitoring.
  • Predicted future demand based on historical sales data using Neural Networks.
• WellTravel: A Flight Schedule Provider and Online Booking System 🔗
  • Contributed developing a flight Schedule Provider which consumes APIs from different GDS flight provider.
  • Integrated GDS flight APIs for flight schedules, rental car bookings, and hotel reservations.
  • Language: Ruby on Rails, HTML CSS, Bootstrap; Database: PostgreSQL; API: SOAP, REST.
• MITACS Research Project
  • A Machine Learning-based Test Case Prioritization for Embedded Applications.
  • Continuous Integration/Continuous Delivery (CI/CD) using Jenkins.
• Finding Medical Experts on Twitter 🔗
  • Utilized Twitter’s API for data extraction, processing over 10,000 tweets daily.
  • Employed NLP techniques to filter and categorize tweets, achieving a classification accuracy of 92%.
  • Tools and technologies used: Python, Scikit-Learn, Pandas, Tweepy, and Flask.
• Plant Leaf Classification using Convolutional Neural Network 🔗
  • Classify Plant Leaf Images across 99 species using CNN.
  • Used a Kaggle Dataset comprising 1,584 images for training and validation.
  • Initiated with a Keras Sequential CNN model, achieving 97% training accuracy.

⚙️ Development Skills

📚 Publications

See my work on Google Scholar

📖 Academic Courses

• Completed Courses:
  • Advance Topic in High Performance Computing (Machine Learning)
  • Real-Time Data Analytics IoT
  • Embedded Real-Time Control Systems
  • Advance Optimization
  • Intelligent Control Systems

🏅Awards & Scholarships

• Received the Best Paper Award at the IEEE 25th International Conference on Information Reuse and Integration for Data Science (IRI), San Jose, CA, USA, 2024
• Received SIGBED Student Travel Grants for CPS-IoT Week, San Antonio, TX, USA, 2023
• Awarded Ontario Graduate Scholarship (OGS), Ontario Tech University, 2022
• Received MITACS Research Training (RTA) Award, Ontario Tech University, 2020
• Awarded Graduate International Tuition Scholarship (GITS), Ontario Tech University, 2019
• Awarded FEAS Graduate Scholarship for Excellence Performance in Academic Year 2018-2019
• Awarded the Queen Elizabeth II Diamond Jubilee Scholarship (QES) 2017
• Received Dean Graduate Scholarship at Ontario Tech University 2017
• Received OIC Scholarship for Undergraduate Study at IUT in 2009
• Recipient of the Rajshahi Education Board HSC Scholarship (General 1st) in 2009
• Recipient of the Rajshahi Education Board SSC Scholarship in 2007
• Recipient of Government Scholarship (Talent Pool) at class Eight in 2005

🎨 Extra-Curricular Activities

• Attended FEAS Research Day at Ontario Tech University and Presented RTEMSOFT Lab Research, 2023
• Contributed as a Volunteer at ICCPS Conference, Texas, USA, 2023
• Presented Conference Paper at International Conference on Cyber-Physical Systems (ICCPS), Texas, 2023
• Volunteer at CPS IoT Week Conference (ICCPS), San Antonio, Texas, USA, 2023
• Presented poster titled ”A monitoring framework for a secure OTA software update in automobiles”, ACE Building, Ontario Tech University, 2019
• Contributed as a Volunteer at SGIoT 2018 Conference, Niagara Falls, Canada
• Presented Conference Paper at 44th IEEE Industrial Electronics Society – (IECON), Washington DC, 2018
• Organizing Committee Member of “AB Bank IUT ICT Fest 2013” in IUT

📞 Contact

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