Welcome to the Hands-On Training In Applied Artificial Intelligence and Machine Learning (HoT-AML) Program!

Our mission is to empower students, researchers, and faculty with the skills and knowledge required to excel in the fields of applied artificial intelligence (AI) and machine learning (ML). Funded by the National Science Foundation (NSF) Idaho Community-engaged Resilience for Energy-Water Systems (I-CREWS), this initiative aims to bridge the gap between academic knowledge and practical applications through a comprehensive hands-on training program.

Whether you are a student eager to learn, a researcher looking to expand your expertise, or faculty seeking to integrate AI/ML into your research, this program offers something for everyone.

Program Description

The Hands-On Training in Applied AI/ML (HoT-AML) program is tailored to provide students, researchers, and faculty in the state of Idaho with specialized skills in AI/ML and its applications. Integrated within the I-CREWS framework, this program is dedicated to translating theoretical understanding into practical expertise to promote innovation and excellence in applied AI/ML. Participants will engage in hands-on learning, which prepares them to address real-world challenges with cutting-edge AI/ML solutions.

Key Program Components

Build AI/ML Fundamentals: Develop a strong foundation in AI and ML concepts, with practical applications emphasized throughout the program.
Master ML Techniques: Master various ML algorithms and gain hands-on experience in applying them effectively.
Create Robust ML Models: Learn to apply sound methodologies for developing reliable and robust ML models.
Engage in Real-World Projects: Reinforce theoretical knowledge through practical examples, exercises, and projects that reflect real-world scenarios.
Apply Physics-Informed Neural Networks (PINN): Understand and implement physics-informed neural networks (PINNs) to integrate physical laws with ML.
Implement ML-Based Solutions: Develop skills to implement ML-based solutions for real-world problems.

Funding and Collaboration

This program, which is in collaboration with the Center for Advanced Energy Studies (CAES), is made possible through the generous support of the NSF I-CREWS.

Instructors

Instructor and Lead PI:
Tadesse Gemeda Wakjira, Ph.D., M.ASCE

Adjunct Faculty

Department of Civil and Environmental Engineering

Idaho State University

Website: www.tadessewakjira.com

Email: contact@tadessewakjira.com; tadessewakjira@isu.edu

Co-Instructor:
Mostafa Fouda, Ph.D., SM-IEEE

Associate Professor

Department of Electrical and Computer Engineering

Website: www.mostafafouda.com
Email: mfouda@isu.edu

Call to Action

Join us to master applied AI/ML! Whether you are a student eager to learn, a researcher looking to expand your expertise, or faculty seeking to integrate AI/ML into your research, our program offers something for everyone. Click the buttons below to register, learn more, and get in touch with us.

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