Research

Distinguished Scholars Visiting Program

Global Minds, Local Impact

Each summer, the LAU School of Engineering welcomes distinguished international scholars to campus through its flagship SOE Distinguished Scholars Visiting Program (DSVP). This initiative brings leading academics and professionals to engage with our students and faculty through teaching, research collaboration, mentorship, and public lectures. The program reflects LAU’s commitment to academic excellence, global engagement, and regional impact through knowledge exchange.

Program Overview

The DSVP positions the School of Engineering as a hub for global academic collaboration. Visiting scholars contribute to the intellectual life of the university while exploring opportunities for sustained partnership.

Program Tracks

Track 1: Short-Term Global Scholars (2 Weeks)

Ideal For: High-impact scholars with limited availability

Purpose:

Key Activities:

Timing: Flexible within the summer term (June to August)

Track 2: Summer Teaching Scholars (4–5 Weeks)

Ideal For: Scholars interested in deeper engagement and credit-course teaching

Purpose:

Key Activities:

Timing: Aligned with LAU’s Summer Term (typically June to July)

Objectives

 

Criteria and Expectations

SOE faculty are encouraged to identify renowned international scholars whose presence will bring added value to the School, complementing its ongoing academic and research initiatives and enhancing its global standing:

Mechanism

Benefits

For Scholars:

For LAU Community:

Featured Scholar – Summer 2025

We are honored to welcome Dr. Feras Batarseh, associate professor at Virginia Tech, as the inaugural Summer Teaching Scholar. Dr. Batarseh is an expert in AI and policy systems; his research spans the areas of AI and cyberbiosecurity for water systems and smart agriculture. Dr. Batarseh leads the Artificial Intelligence Assurance and Applications Lab (A3 Lab). Dr. Batarseh’s team develops AI applications and assurance algorithms to address persisting water security and agricultural public policy challenges, such as: protecting water supply systems, optimizing smart-farming and precision agriculture, and understanding the economic effects of outlier events on biological systems using data-driven methods. His expertise covers AI explainability, security, causality, trustworthiness, data bias, incompleteness, data democracy and dark data.

Dr. Batarseh will be teaching a new course on AI in Summer 2025. The new course, GNE336 Trustworthy and Secure AI, is designed to provide students with a comprehensive entry point into the exciting and rapidly evolving field of AI. This introductory-level course is open to students from all engineering majors. It is purposefully crafted to accommodate diverse academic backgrounds while offering foundational knowledge in key AI concepts, methods and applications.

As part of his visit, Dr. Batarseh will give a seminar in June 2025. The seminar is part of the School of Engineering Seminar Series, which features seminars and events designed to expose students and researchers from various disciplines to emerging topics in engineering. During his visit, Dr. Batarseh will be closely working with students on research topics related to AI.

Nominate a Scholar

We invite faculty and partners to recommend exceptional scholars who:

To nominate, please email SOE Dean with:

Program Highlights

Each visit is documented through: