Teaching

Graduate and undergraduate courses in systems, control, optimization and probability at Penn, and leadership of Penn Engineering’s undergraduate degree in artificial intelligence

Cover of Linear Systems Theory: From Linear Algebra to the Kalman Filter

Featured course

ESE 5000 Linear Systems Theory

Penn’s graduate course on state-space theory in the time domain, taught since 2001 to students in control, robotics, signal processing and machine learning. Its lecture notes became the textbook Linear Systems Theory: From Linear Algebra to the Kalman Filter, forthcoming January 1, 2027.

About the book

Graduate Courses

ESE 5000 Linear Systems Theory Fall 2001, 2002, 2005, 2017–2026

ESE 6800 Learning for Control (with M. Morari) Spring 2018, 2019

ESE 6800 Optimal Control Theory Fall 2011

ESE 6800 Networked and Embedded Control Systems (with J. Le Ny) Spring 2011

CIS 8000 Green Buildings: Optimization and Adaptation (with B. Taskar) Spring 2011

ESE 6170 Nonlinear Control Theory Fall 2004, 2006, 2010

ESE 6010 Hybrid Systems (2000 jointly with R. Alur) Fall 2000, Fall 2003, Spring 2009

ESE 6800 Special Topics in Systems Biology Spring 2007

EECS 222 Nonlinear Systems: Analysis, Stability, Control (UC Berkeley) Spring 1999

Undergraduate Courses

ESE 1110 Introduction to Atoms, Bits, Circuits, and Systems (with S. Deliwala) Fall 2018–2023

ESE 3010 Introduction to Probability 2006–2012

ESE 3040 Introduction to Optimization Spring 2005

ESE 3250 Introduction to Signals and Systems Spring 2002, 2003, 2004

EE 325 Introduction to Analog and Digital Communications Spring 2000, 2001

George J. Pappas in academic regalia with five graduates of the B.S.E. in Artificial Intelligence, Class of 2026, at Penn Engineering — The first graduates of the B.S.E. in Artificial Intelligence, Class of 2026

Program Director

Raj and Neera Singh B.S.E. Program in Artificial Intelligence

Launched in 2024, the B.S.E. in Artificial Intelligence was the first undergraduate AI degree in the Ivy League. It is part of Penn Engineering’s Raj and Neera Singh Program in Artificial Intelligence, which also offers an M.S.E. in AI on campus and online.

The program blends technical rigor with ethical training, preparing students to drive innovation in AI and to shape its development responsibly. Its first class graduated in May 2026.

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Teaching Recognition

2026 IEEE Leon K. Kirchmayer Graduate Teaching Award

2017 University of Pennsylvania Provost’s Award for Distinguished Ph.D. Teaching and Mentoring