Dr. Sven Koenig

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Sven Koenig. Improve your application with a focused, well-structured draft.

Biography

Sven Koenig is an Adjunct Research Professor in the Thomas Lord Department of Computer Science at the University of Southern California. He received his Doctorate in Computer Science from Carnegie Mellon University in 1997. His research interests focus on intelligent systems that operate in large, nondeterministic, and nonstationary partially known domains. This includes decision making, planning, and learning techniques that enable single agents and multi-agent teams to act intelligently in real-time environments with incomplete knowledge and imperfect abilities. Koenig has published over 280 papers in areas including artificial intelligence and robotics, and has served as editor and program co-chair for several major conferences. He is a Fellow of the Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, and the Institute of Electrical and Electronics Engineers. His applications of research cover logistics, video games, and various aspects of robotics.

Research Interests

Artificial Intelligence Robotics Agents Decision Making Games Markov Decision Processes Mobile Robotics Multi-Agent Systems Multi-Robot Coordination Planning Search

Experience

Adjunct Research Professor

2010-01-01 — Present

University of Southern California • Los Angeles, CA

Teaching and conducting research in artificial intelligence and robotics.

Awards

#

International Conference Automated Planning Scheduling (ICAPS) System Demonstration Honorable Mention

2024-01-01
#

AAAI Conference Artificial Intelligence: Classic Paper Award

2023-01-01
#

International Conference Automated Planning Scheduling (ICAPS): Student Paper Honorable Mention

2023-01-01
#

Dean's Professor Computer Science

2022-01-01
#

Symposium Combinatorial Search (SoCS): Student Paper Award

2022-01-01
#

Fellow

2021-01-01
#

International Conference Automated Planning Scheduling (ICAPS): System Demonstration Award (Gold)

2021-01-01
#

Fellow

2020-01-01
#

International Conference Automated Planning Scheduling (ICAPS): Outstanding Student Paper Award

2020-01-01
#

Symposium Combinatorial Search (SoCS): Paper Honorable Mention

2020-01-01
#

Winning Team (Advisor)

2020-01-01
#

AAAI Conference Artificial Intelligence: Classic Paper Honorable Mention

2019-01-01
#

Technology Commercialization Award

2019-01-01
#

Fellow

2017-01-01
#

Computer Science Engineering Undergraduate Teaching Award

2017-01-01
#

Outstanding Senior Program Committee Member

2017-01-01
#

Outstanding Paper Award (Robotics Track)

2016-01-01
#

Dean's Award Innovation Teaching and Education

2015-01-01
#

Fellow

2013-01-01
#

Director's Award Collaborative Integration

2012-01-01
#

Director's Award Collaborative Integration

2011-01-01
#

Mellon Mentoring Award: Faculty Mentoring Undergraduate Students

2009-01-01
#

Nomination Pragnesh Jay Modi Student Paper Award

2009-01-01
#

SAIC Student Advisement Award

2004-01-01
#

Outstanding Junior Faculty Research Award

2003-01-01
#

Faculty Partnership Award

2001-01-01
#

Career Award

2000-01-01
#

Raytheon Faculty Research Award

1999-01-01

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.