Ahmad Nafees is a Lecturer in the Department of Chemical and Petroleum Engineering at Khalifa University, Abu Dhabi, with over 23 years of academic experience in engineering education, research, laboratory instruction, and student mentorship. His teaching philosophy emphasizes student-centered, experiential, and technology-enhanced learning, bridging fundamental engineering principles with real-world industrial applications.
He is passionate about transforming chemical engineering education through the integration of Artificial Intelligence (AI), Machine Learning (ML), Python programming, data analytics, and advanced process simulation technologies. His expertise includes the AspenTech engineering software suite, particularly Aspen HYSYS, Aspen Plus, and Aspen Custom Modeler, alongside MATLAB and Simulink for process modeling, optimization, and engineering problem-solving.
He holds Aspen HYSYS and Aspen Plus User Certifications, as well as Aspen HYSYS Expert Certification (Stage 2), demonstrating his commitment to industry-relevant technical excellence. His professional development also includes certifications in Python programming, machine learning, data science, and engineering simulation.
As an advocate of innovative pedagogy, he actively promotes AI-assisted teaching, simulation-based experimentation, project-based learning, and digital tools to strengthen students' critical thinking, computational skills, and industry readiness. He has contributed to initiatives integrating AI and digital learning technologies into core chemical engineering courses, supporting the advancement of modern engineering education.
He has pursued professional development in teaching and learning through Khalifa University's Center for Teaching and Learning (CTL) and serves as a CTL Faculty Champion, promoting innovative teaching practices, faculty engagement, and continuous improvement in student learning.
His academic contributions extend to curriculum enhancement, laboratory modernization, ABET accreditation, undergraduate research, senior design projects, and industry-linked student development. He has also served as a founding advisor of the AIChE Khalifa University Student Chapter, fostering student leadership, professional networking, and experiential learning.
Recognized for his dedication to academic excellence and institutional service, he received the Khalifa University Distinguished Service Award (2024) and has achieved student teaching evaluation scores of up to 4.9/5.0.
A project for AI-Enhanced Learning Integration across Core Chemical Engineering Courses involving CHEg312 - Numerical Methods, CHEG412 - Process Dynaics and Control and CHEG497 - Senior Process Design
Year 2026
A project for rigrous analysi and simulation of crude oil distiallation using Aspen Hysys
Year 2026
Awarded CTL faculty Champion 2026
AIChE Annual Meeting international conference at Minnesota, USA
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