Assistant Professor of Mechanical Engineering, Assistant Professor of Electrical Engineering (Affiliated), NYU Abu Dhabi; Associated Faculty with the Mechanical Engineering Department, Associated Faculty with the Electrical and Computer Engineering Department, NYU TandonAffiliation:NYU Abu Dhabi Education: PhD, Polytechnic University of Valencia
Fares J. Abu-Dakka is a roboticist and educator specializing in robot learning, manipulation, and control. His research focuses on enabling robots to acquire skills through learning from demonstration, reinforcement learning, and adaptive control, with applications in geometric control and physical human–robot interaction to enhance manipulation performance and safety. He has developed algorithms that enable robots to learn by observing human actions and interacting with their environment, advancing learning from demonstration and variable impedance control for safer and more adaptive robotic behavior. His work has been widely recognized, with extensive publications in leading robotics journals and conferences.
Abu-Dakka earned his B.Sc. in Mechanical Engineering from Birzeit University, Palestine in 2003, followed by a Ph.D. in Robotics and Motion Planning from Polytechnic University of Valencia (UPV), Spain, in 2011. He also holds an M.Sc. in Biomedical Engineering from UPV (2015). His doctoral research focused on trajectory planning for industrial robots using genetic algorithms.
Over the years, he has held research and teaching positions across Europe and the Middle East. He has been a Visiting Professor at Carlos III University of Madrid (2013–2016), a Postdoctoral Researcher at the Istituto Italiano di Tecnologia (IIT) (2016–2019), and a Research Fellow at Aalto University, Finland (2019–2022). Before joining NYUAD in 2024, he served as a Senior Scientist at the Technical University of Munich (TUM) (2022-2023) and a Lecturer at Mondragon University (2023–2024).
In addition to his research and teaching, Fares J. Abu-Dakka is active in professional service and editorial roles within the robotics community. He serves as an Associate Editor for the IEEE Robotics and Automation Letters (RA-L) and the IEEE Transactions on Robotics (T-RO), two of the field’s top peer-reviewed journals.
Courses Taught
2 credits
Introductory course in probability and statistics with an emphasis on how these topics are relevant in engineering disciplines. Topics in probability theory include sample spaces, and counting, random variables (discrete and continuous), probability distributions, cumulative density functions, rules and theorems of probability, expectation, and variance. Topics in statistics include sampling, central limit theorem, and linear regression. The course emphasizes correct application of probability and statistics and highlights the limitations of each method presented. NOTE: This course may be replaced with MATH-UH 1003Q or MATH-UH 2011Q
Prerequisite: MATH-UH 1012 or MATH-UA 121 or MATH-UA 122 or MATH-UA 123 or MATH-UA 221 or MATH-UA 211 or MATH-SHU 131 or MATH-SHU 201 or MATH-SHU 151 or MA-UY 1024 or MA-UY 1124 or MA-UY 1324 or MA-UY 1424 or equivalent
Previously taught: Fall 2 2016, Spring 1 2017, Fall 1 2017, Spring 1 2018, Fall 1 2018, Fall 2 2019, Fall 1 2019, Spring 2 2020, Fall 1 2020, Fall 2 2020, Spring 2 2021, Fall 1 2021, Spring 1 2022, Fall 1 2022, Spring 2 2023, Fall 1 2023, Spring 2 2024, Spring 1 2024, Fall 1 2024, Fall 2 2024
Spring 1 2025;
7 Weeks Fares Abu-Dakka
-
TR 09:55 - 11:10
Taught in Abu Dhabi
Spring 1 2025;
7 Weeks Fares Abu-Dakka
-
T 14:10 - 16:50
Taught in Abu Dhabi
Spring 2 2025;
7 Weeks Qurrat-Ul-Ain Nadeem
-
TR 09:55 - 11:10
Taught in Abu Dhabi
Spring 2 2025;
7 Weeks Qurrat-Ul-Ain Nadeem
-
T 14:10 - 16:50
Taught in Abu Dhabi
Fall 1 2025;
7 Weeks M 14:10 - 16:50
Taught in Abu Dhabi
Fall 2 2025;
7 Weeks T 14:10 - 16:50
Taught in Abu Dhabi
Fall 1 2025;
7 Weeks Saif Jabari
-
MW 09:55 - 11:10
Taught in Abu Dhabi
Fall 2 2025;
7 Weeks Andras Gyorgy
-
TR 09:55 - 11:10
Taught in Abu Dhabi
This course appears in...
Core Curriculum > Quantitative Reasoning
Majors > Civil Engineering
Majors > Electrical Engineering
Majors > General Engineering
Majors > Mechanical Engineering
3 credits
This course applies a Problem-Based Learning (PBL) approach to introduce students to Mechatronics, the integration of mechanical systems, electronics, control systems, and computer systems. Through solving real-world problems, students will design, model, and control systems that incorporate sensors, actuators, and microcontrollers. This course emphasizes practical applications in robotics, automation, and dynamic control systems, focusing on team-based learning and culminating in a comprehensive term project.
Prerequisite: ENGR-UH 2019
Previously taught: No
Fall 2025;
14 Weeks Fares Abu-Dakka
-
MW 12:45 - 14:00
Taught in Abu Dhabi
This course appears in...
Majors > Bioengineering
Majors > Electrical Engineering
Majors > Mechanical Engineering
1 credits
The Mechatronics Lab is designed to complement the theoretical aspects of the course by providing students with individual, hands-on experience in designing and testing mechatronic systems. Unlike the course’s team-based, Problem-Based Learning (PBL) approach, the lab emphasizes independent work, where students will individually develop practical skills in integrating mechanical components, electronics, sensors, actuators, and microcontrollers. Each lab session will focus on a distinct technical challenge related to core topics in mechatronics, such as sensor interfacing, actuator control, microcontroller programming, and system simulation. Through a series of structured experiments, students will build and optimize mechatronic systems, applying concepts in real-time control, automation, and system integration. The lab provides opportunities for iterative testing and refinement, fostering problem-solving abilities in a controlled, experimental environment. By the end of the lab, students will have gained the essential hands-on skills needed to design, implement, and evaluate functional mechatronic systems, preparing them for more complex projects and applications in robotics, automation, and dynamic control.
Previously taught: No
Fall 2025;
14 Weeks Fares Abu-Dakka
-
R 14:10 - 16:50
Taught in Abu Dhabi