Lecture
Lecture at Saint Louis University | Coursicle SLU [ 2023 - 2024]
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Teaching Interest and Experience
Human-Computer Interaction: Introduce tools, techniques, and a systematic approach to design through the observation of existing technology, utilizing analytic and empirical evaluation methods.
Enterprise Architecture and Systems Infrastructure: Explore tools, methodologies, and systematic approaches in designing and managing enterprise-level architecture and systems infrastructure. Emphasize observation and analysis of existing technologies, coupled with empirical evaluation methods, to ensure effective organizational infrastructure development.
Applied Data Sciences: Acquire a thorough comprehension of business concepts, coupled with the proficiency to effectively utilize data science tools for addressing real-world problems using authentic datasets.
Artificial Intelligence/Machine Learning: Explore advanced topics such as Deep Learning, Reinforcement Learning, Computer Vision, Natural Language Processing (NLP), and other cutting-edge techniques.
Advanced Computer Architecture: Delve into advanced principles and concepts in computer architecture, focusing on the design and organization of complex computing systems. Explore topics such as pipelining, parallel processing, memory hierarchy, and advanced processor architectures.
Embedded Machine Learning: Understand the fundamentals of machine learning, neural network training, and the deployment of these networks on microcontrollers—TinyML.
Internet of Things (IoT): Explore tools, techniques, and systematic approaches in designing and managing IoT systems. Emphasize the observation of existing technologies and employ analytic and empirical evaluation methods to ensure seamless integration, communication, and functionality within the interconnected world of IoT devices.
Advanced Industrial and Engineering Mathematics: Dive into advanced topics in industrial and engineering mathematics, including Ordinary Differential Equations (ODE), linear equations, matrix operations, vector analysis, Fourier transform, Complex Analysis, and other relevant mathematical concepts. Emphasize the application of these mathematical principles in solving complex problems within industrial and engineering domains.
Data Structures and Algorithms: Explore fundamental concepts in data structures and algorithms, covering the design, implementation, and analysis of efficient data structures and algorithms.
Advanced Software Development: Explore advanced concepts and methodologies in software development, emphasizing the design, implementation, and optimization of complex software systems. Covering advanced programming languages, software architecture, and development frameworks, the course equips students with practical skills in coding, debugging, and optimizing software applications.
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Online IEEE Learning Series
Course: Smart City Technologies: Transformation of Cities, IEEE Learning Network, Sept. 2022
Smart City Technologies: History, Social Impact, and Examples
Smart City Technologies: Transportation Transformation in the Smart City
Smart City Technologies: Data Privacy and Security (Coming soon)
Course: Automotive Cyber Security: Protecting the Vehicular Network, IEEE Learning Network, Sept. 2020
Course: Automotive Vehicles and Data Analysis for Driver Safety and Security Services, IEEE Transportation Electrification Community, June 2018
Online ACM Distinguished Speaker: 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