Dr. Elad Denenberg
Department:
Mechanical Engineering
Role:
Lecturer, Head of Industry 4.0 Area
LinkedIn | Google Scholar | Twitter/X | ResearchGate
About:
Dr. Elad Denenberg is a lecturer at ORT Braude Academic College of Engineering and Director of the Industry 4.0 Program. He holds a Ph.D. from the Technion's Autonomous Systems and Robotics Program (first graduate, 2016) and degrees from Tel Aviv University. Before academia, he worked as a designer at Israel Aerospace Industries (2006–2012), earning the Gulfstream G280 Weight Reduction Prize. His research focuses on AI and optimization methods for robotics, space applications, and industrial digitalization.
Dr. Denenberg has held postdoctoral positions at King's College London (2017–2020), University of Haifa (2020–2021), and the Technion (2016–2017). He serves as a science communicator for Little, Big Science, Israel's most-followed popular science platform, and coordinates the Braude Satellite Multidisciplinary Project.
Research Interests:
- 1. Evolutionary Algorithms
- 2. Surrogate-based Optimization
- 3. Automated Planning
- 4. Robotics and Space Applications
Courses
- 1. Introduction to Algorithms and Programming
- 2. Introduction to Autonomous Robots
- 3. Computer Vision for Mechanical Engineers
- 4. Operations Research for Mechanical Engineers
- 5. Advanced Mechanical Design
My publications can be found on: Google Scholar , Researchgate
Referred Papers
Denenberg, E. and Salih, A. (2025). "Bi-level Evolutionary Algorithms for Multi-Active Debris Removal Mission Design." Astrodynamics. (Submitted)
Denenberg, E. (2020). "Satellite Closest Approach Calculation Through Chebyshev Proxy Polynomials." Acta Astronautica, 170, 55–65. https://doi.org/10.1016/j.actaastro.2020.01.020
Denenberg, E. and Gurfil, P. (2017). "Debris Avoidance Maneuvers for Spacecraft in a Cluster." Journal of Guidance, Control, and Dynamics, 40(6), 1428–1440. https://doi.org/10.2514/1.g002374
Denenberg, E. and Gurfil, P. (2016). "Improvements to Time of Closest Approach Calculation." Journal of Guidance, Control, and Dynamics, 39(9), 1967–1979. https://doi.org/10.2514/1.g000435
Conference Proceedings and Abstracts
Denenberg, E. and Coles, A. (2019). "Mixed Discrete Continuous Non-Linear Planning Through Piecewise Linear Approximation." 29th International Conference on Automated Planning and Scheduling (ICAPS), Berkeley, CA. (Ranked A*)
Hammer, Y., Ben Harosh, I., Goncharov, I., Wolfson, I., and Denenberg, E. (2025). "Technical Requirements for Optical Sensors in Autonomous Space Situational Awareness." 64th Israel Annual Conference on Aerospace Sciences (IACAS 2025), Haifa, Israel.
Weil, H., Shamir, O., Zeldner, I., and Denenberg, E. (2024). "Evaluation of the Time of Closest Approach Computation Methods." 2024 AAS/AIAA Astrodynamics Specialist Conference, Broomfield, Colorado.
Denenberg, E. (2023). "Examining Propagator's Integration Methods Towards the Development of Autonomous Situational Awareness." 63rd Israel Annual Conference on Aerospace Sciences.
Denenberg, E. and Coles, A. (2018). "Automated Planning in Non-linear Domains for Aerospace Applications." 58th Israel Annual Conference on Aerospace Sciences.
Denenberg, E. and Gurfil, P. (2017). "Debris Avoidance Maneuver for Cluster Spacecraft." 27th AAS/AIAA Space Flight Mechanics Meeting, San Antonio, Texas.
Denenberg, E. and Gurfil, P. (2015). "A New Method for Time of Critical Approach Calculation." 66th International Astronautical Congress, Jerusalem, Israel.
Denenberg, E. and Moshaiov, A. (2009). "Evolutionary Search of Optimal Concepts Using a Relaxed-pareto-optimality Approach." 2009 IEEE Congress on Evolutionary Computation, pp. 2524–2531. https://doi.org/10.1109/cec.2009.4983258
Denenberg, E., Coles, A., and Long, D. (2019). "Evaluating the Cost of Employing LPs and STPs in Planning: Lessons Learned From Large Real-Life Domains." Scheduling and Planning Applications Workshop (SPARK), ICAPS 2019.
Denenberg, E. and Coles, A. (2018). "Modelling Sequences of Processes in PDDL+ for Efficient Problem Solving." Workshop on Knowledge Engineering for Planning and Scheduling (KEPS), ICAPS 2018.
Other Publications:
Denenberg, E., Coles, A., and Long, D. (2021). "Improving Search by Utilizing State Information in OPTIC Planners Compilation to MIP." arXiv:2106.07924
Journal Papers
Elad Denenberg. “Satellite Closest Approach Calculation Through Chebyshev Proxy Polynomials”. In: Acta Astronautica 170 (Feb. 2020), pp. 55–65. doi: 10.1016/j.actaastro.2020.01.020.
Elad Denenberg and Pini Gurfil. “Debris Avoidance Maneuvers for Spacecraft in a Cluster”. In: Journal of Guidance, Control, and Dynamics 40.6 (July 2017), pp. 1428–1440. doi: 10.2514/1.g002374.
Elad Denenberg and Pini Gurfil. “Improvements to Time of Closest Approach Calculation”. In: Journal of Guidance, Control, and Dynamics 39.9 (Sept. 2016), pp. 1967–1979. doi: 10.2514/1.g000435.
Conference Papers
Elad Denenberg. “Examining Propagator’s Integration Methods Towards the Development of Autonomous Situational Awareness.” In: 63rd Israel Annual Conference on Aerospace Sciences. 2023.
Elad Denenberg and Amanda Coles. “Mixed Discrete Continuous Non-Linear Planning Through Piecewise Linear Approximation”. In: 29th International Conference on Automated Planning and Scheduling (ICAPS). Berkeley, CA, USA, July 2019. Ranked A*.
Elad Denenberg and Amanda Coles. “Automated Planning in Non-linear Domains for Aerospace Applications”. In: 58th Israel Annual Conference on Aerospace Sciences. 2018. Elad Denenberg and Pini Gurfil. “Debris Avoidance Maneuver for Cluster Spacecraft”. In: 27th AAS/AIAA Space Flight Mechanics Meeting. San Antonio, Texas, US, Feb. 2017.
Elad Denenberg and Pini Gurfil. “A New Method for Time of Critical Approach Calculation”. In: 66th International Astronautical Congress. Jerusalem, Israel, Jan. 2015.
Elad Denenberg and Amiram Moshaiov. “Evolutionary Search of Optimal Concepts Using a Relaxedpareto-optimality Approach”. In: 2009 IEEE Congress on Evolutionary Computation. IEEE. Institute of Electrical & Electronics Engineers (IEEE), May 2009, pp. 2524–2531. doi: 10.1109/cec.2009. 4983258.
Peer Reviewed Workshops
Elad Denenberg, Amanda Coles, and Derek Long. “Evaluating the Cost of Employing LPs and STPs in Planning: Lessons Learned From Large Real-Life Domains”. In: Scheduling and Planning Applications Workshop (SPARK). The 29th International Conference on Automated Planning and Scheduling, July 2019.
Elad Denenberg and Amanda Coles. “Modelling Sequences of Processes in PDDL+ for Efficient Problem Solving”. In: Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). The 28th International Conference on Automated Planning and Scheduling, July 2018.
Other Papers
Elad Denenberg, Amanda Coles, and Derek Long. Improving Search by Utilizing State Information in OPTIC Planners Compilation to MIP. 2021. arXiv: 2106.07924 [cs.AI].
Elad Denenberg and Amiram Moshaiov. “Evolutionary Search of Conceptual Path Plans Using a Relaxed-Pareto-optimality Approach”. In: 2008 IROS Multi-Competence Optimization and Adaptation in Robotics and A-life (MOR) Workshop. IEEE/RSJ. IEEE/RSJ 2008 Int. Conf. on Intelligent Robots and Systems, Sept. 2008.
Science Communication
In the last couple of years, it has been evident that progressing science through research is insufficient. During these times of misinformation and fake news, a scientist is required not only to advance humanity through creating knowledge but also to communicate the known and discovered to the general public. Many popular science initiatives exist for scientists to create popular science for the general public.
Little, Big Science (LBS) is an Israeli NGO that communicates popular science. The writers in LBS are all researchers and scientists. The NGO's Facebook page is the most followed popular science page on the platform. LBS also runs Instagram, Twitter profiles, and a website, all dedicated to reaching the masses.
Elad has been writing for LBS since 2018. He has written many posts in his area of expertise: optimization and artificial intelligence.
Teaching
- Introduction to Algorithms and Programming
- Introduction to Autonomous Robots
- Computer Vision for Mechanical Engineers
- Operations Research 101
- Digital Twin
- Autonomous Satellite Space Situational Awareness
- Drug Discovery
Dr. Denenberg's research focuses on developing AI and optimization methods for autonomous systems, particularly in space and industrial applications. His work spans from theoretical algorithm development to practical implementations in satellite operations and manufacturing.
Current Projects: Digital Twin Development, Autonomous Satellite Space Situational Awareness, Multi-Active Debris Removal Mission Design, Explainable AR for Assembly Tasks
Research Philosophy: Bridging theoretical advances in AI with practical engineering solutions for complex real-world problems in robotics, space exploration, and Industry 4.0.
Academic Appointments
Lecturer and Director of Industry 4.0 Program (2021–Present)
ORT Braude Academic College of Engineering
Teaching Experience
Introduction to Algorithms and Programming, Introduction to Autonomous Robots, Computer Vision for Mechanical Engineers, Operations Research for Mechanical Engineers, Advanced Mechanical Design
Academic and Professional Awards and Grants
• University of Haifa Data Science Research Center (DSRC) Scholarship (2020)
• EPSRC Impact Acceleration Account (2019)
• Joan and Reginald Coleman-Cohen Exchange Program Scholarship (2017)
• IEEE Computational Intelligence Society Student Travel Scholarship (2009)
• Gulfstream G280 Weight Reduction Prize (2009)
Professional Appointments
• Director of Industry 4.0 Program (2022–present)
• Coordinator, Braude Satellite Multidisciplinary Project (2024–present)
• Member, Disciplinary Committee (2023–present)