This page doesn't contain the information about my classes.

However, all lectures and assignments are given over the HUFS e-class system into the individual class pages (HUFS student only).

Spring Session: Here are my current lecture hours.

Monday: 01:30pm - 3.30PM

Tuesday: -

Wednesday: 11:30am - 12:30pm

Thursday: 01:30pm - 3:30pm

Friday: 11:30pm - 1:30pm

Teaching Interests

        • Applied Data Sciences: A comprehensive understanding of the concepts of business, and the ability to apply the tools of data science to real-problems and real data.

        • Data analytics: Introduction to Data Analytics; Principles of Data Science; Big Data Platforms; Advanced Big Data Tools; Introduction to Web Analytics; Advanced Web Analytics

        • Artificial Intelligence/Machine Learning: Deep Learning, Reinforcement Learning, Computer Vision; NLP, etc.

        • Embedded Machine Learning: How machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine learning or TinyML.

        • Industrial Mathematics: ODE, Linear equations, Matrix, Vector, Fourier transform, Complex Analysis etc.

        • Logical thinking and SW programming: Logical Thinking and Basic Mathematics; Mathematics for SW Engineering; Algorithms; OOPs

        • Human-Computer Interaction: Introduces tools, techniques, and sources of a systematic approach to design through observation of existing technology, and analytic and empirical evaluation methods.

Online IEEE lectures included in this program

Subject: Smart City Technologies: Transformation of Cities, IEEE Learning Network, Sept. 2022

Subject: Automotive Cyber Security: Protecting the Vehicular Network, IEEE Learning Network, Sept. 2020

Subject: Automotive Vehicles and Data Analysis for Driver Safety and Security Services, IEEE Transportation Electrification Community, June 2018

Online ACM Distinguished Speaker: ACM application form 02.2018 - 02.2021

      • Internet of Things for Smart Community Solutions

      • Connected Vehicles for Driver's Safety and Vehicle Security

      • Future Internet Model and Services: Perspective, Challenges and Future Trends


  • Spring: Computer Architecture, Computer Networks, Data Structure and Algorithms,

  • Fall: Advanced Industrial and Engineering Mathematics, Programming Language in C/C++


      • Spring: Data Communications and Networks, Internet of Things, Embedded Computing,

      • Fall: Cloud Computing and Big-Data Analysis, Advanced Computer Architecture