Emre Koyuncu is an Assistant Professor at Istanbul Technical University in the Department of Aeronautical Engineering. He has received his B.Sc. degree in Electrical Engineering from ITU in 2005, M.Sc. degree in Mechatronics Engineering from ITU in 2008, and Ph.D. degree in Aerospace Engineering from ITU in 2015. He was a visiting researcher at Boeing Research and Technology of Europe during 2013-2014, and Massachusetts Institute of Technology (MIT), Aero-Astro Department during 2014-2015. In his Ph.D. research, he has received SESAR WP-E HALA! Research Network Ph.D. fellowship. Prof. Koyuncu has developed optimized trajectory design methods, which rely on large-scale data analysis and stochastic search methods. These methods have been applied to both short and also medium tactical term optimal 4D trajectory management and conflict resolution for commercial aircraft and UAVs. He also designed an in-cockpit decision support systems utilizing these algorithms. His current research focuses on; guidance, navigation and contol systems; agile maneuvering aircraft models and air combat simulations; developing computationally efficient planning algorithms; survivability analysis for complex air combat missions and mission planning; airborne conflict avoidance and resolution algorithms; high-level autonomy in air traffic control systems; flight-deck decision support systems; data-driven ATM network modeling; resilience problem in large scale complex systems with multiple decision makers. Prof. Koyuncu is the director of Controls and Avionics Research Group in ITU Aerospace Research Center (ITU ARC).
In this project, an air combat simulation platform will be developed and different engagement geometries will be analysed and modelled through hybrid systems. These models will enable to simulate many engagement scenarios such as air to air (One vs One BVR / WVR ,Two vs Two BVR / WVR, Four vs Four BVR / WVR, Gun etc.), air to surface (A/S Engagement in Congested Environment, Stand-off Engagement, Penetration to A2AD etc.), surface to air (IR/RF Guided SAM and AAA Environment etc.).Prof. Koyuncu is the PI of the project, which is funded by The TFX Development Programme of TAI and aims to develop air combat engagement models for analysing air combat missions.
The project, funded by BOEING Research and Technology, aims to develop an advanced algorithms to reduce uncertainty in weather forecast and spatial sparse recovery. The fundamental data set is the aircraft trajectories from the radar measurements that encapsulate information about the uncertain parameters such as wind vector. Wind forecast errors vary both in the horizontal and vertical direction, evolve in time and respect a particular spatiotemporal correlation structure. The aim is to build a probabilistic “wind map” to capture the wind estimation error and convert sparse this wind map into complete wind map. The generated wind map is then will be combined with the RUC wind forecast and utilized to improve the optimal trajectory generation. Prof. Koyuncu is the PI of the project, which is fully funded by Boeing Research and Technology of Europe.
COPTRA proposes an efficient method to build probabilistic air traffic forecasts on the basis of flight trajectory predictions within a Trajectory Based Operations (TBO) environment. Its main goal is using the improvements brought to Trajectory Prediction by the future TBO environment to bring measurable improvements to Traffic Prediction in ATC Planning. COPTRA’s objective is refined in 3 sub-objectives corresponding to its research work packages:1. Define the concept of probabilistic trajectory and its prediction (WP2). 2. Using the definition of probabilistic trajectory, define the concept of probabilistic traffic situation and study how probabilistic traffic situations can be built by combining probabilistic trajectories (WP3). 3. Apply probabilistic traffic situations to ATC planning (WP4). Prof. Koyuncu’s team is working in COPTRA to develop trajectory uncertainty quantification and estimation methods and very large scale data-driven air transportation network models enabling effective demand and capacity balancing.
The importance of border survelliance is getting more and more important because of the increasing number of refugees, terrorist groups or smugglers. In the existing literature, there are several studies about aerial robotics for persistance survelliance of a relatively large areas. These systems are much cost-effective solutions when they are compared to sattelites and other traditional human based aerial systems.
The main pupose of this project is to design and to produce a border survelliance aerial robotic prototype that can work with wireless sensor networks (WSN). While it can operate very effective border security missions, it can also reduce the operational cost. Prof. Koyuncu is the PI of the project, which is fully funded by Turkish National Science Foundation (TÜBİTAK).
MSc. Aeronutics Engineering
Air Traffic Network Modeling
BSc in Aeronautics Enginnering
currently Master Student in University of Toulouse
Aircraft Parameter Estimationd and Trajectory Planning
UCK523E Advanced Flight Dynamics, Grad — Fall
UCK322E Flight Mechanics, Undergrad — Spring
UCK441E Flight Stability and Control, Undergrad — Fall
UUM507E Linear Control Systems, Grad — Spring
UUM537E Avionics Navigation Systems, Grad — Spring
lecture notes are coming soon...
[A10] Uzun M., Koyuncu E., Data-Driven Trajectory Uncertainty Quantification For Climbing Aircraft To Improve Ground-Based Trajectory Prediction, Journal of Science and Technology (AUJST-A), 2017
[A9] Baspinar B., Koyuncu E., Demand and Capacity Balancing Through Probabilistic Queuing Theory and Ground Holding Program for European Air Transportation Network, Journal of Science and Technology (AUJST-A), 2017
[A8] Baspinar B., Koyuncu E., Large Scale Data-Driven Delay Distribution Models of European Air Traffic Flow Network, Transportation Research Procedia, Elseiver, 2017
[A7] Baspinar B., Koyuncu E., A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models, International Journal of Aerospace Engineering 2016:1-11
[A6] Pasaoglu C., Akcam N., Koyuncu E., Tarhan F., Inalhan G., Collaborative Intent Exchange Based Flight Management System with Airborne Collision Avoidance for UAS, Journal of Intelligent and Robotic Systems · February 2016
[A5] Koyuncu E., Uzun M., Inalhan, G., Cross-Entropy based Cost Efficient 4D Trajectory Generation for Airborne ConflictResolution, The Inst. of Mechanical Eng., Part G, Jour. of Aerospace Engineering, SAGE, 2016
[A4] Massimiliano Z., Koyuncu E., et al., Enabling the Aviation CO2 Allowance Trading Through Secure Market Mechanisms, Journal of Air Traffic Management (JATM), Elseiver, 2015
[A3] Koyuncu E., Inalhan, G., Exploiting Delayed and Imperfect Information for Generating Approximate UAV Target Interception Strategy, Journal of Intelligent and Robotics Systems, DOI: 10.1007/s10846-012-9693-6, Springer, 2012
[A2] Karakas, H., Koyuncu E., Inalhan, G., ITU Tailless UAV Design, Journal of Intelligent and Robotics Systems, DOI: 10.1007/s10846-012-9695-4, Springer, 2012
[A1] Koyuncu E., Ure, N. K., Inalhan, G., Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs, Journal of Intelligent and Robotics Systems -- 0921-0296 (Print) 1573-0409 (Online), doi -- 10.1007/s10846-009-9367-1, Springer, January 2010
[C2] Karaman, S., Koyuncu E., Inalhan, G., Innovative Collaborative Task Allocation for UAVs, Handbook of Unmanned AerialVehicles, Ed. Kimon P. Valavanis and George J. Vachtsevanos, 2015
[C1] Koyuncu, E., Inalhan, G., Dynamically Feasible Probabilistic Motion Planning in Complex Environments for UAVs, Robotics 2010; Current and Future Challenges, ed. Abdellatif H., ISBN 978-953-7619-78-7, Publishing date: February 2010
[B23] Baspinar B., Uzun M., Guven A. F., Basturk T., Tasdelen İ., Koyuncu E., İnalhan G., A 4D Trajectory Generation Infrastructure Tool for Controller Working Position, 36th IEEE/AIAA Digital Avionics Systems Conference, St. Petersburg, FL, USA, September 17-21, 2017
[B22] Uzun M., Baspinar B., Koyuncu E., İnalhan G., Takeoff Weight Error Recovery Tool for Tactical Trajectory Prediction Automaton of Air Traffic Control Operator, 36th IEEE/AIAA Digital Avionics Systems Conference, St. Petersburg, FL, USA, September 17-21, 2017
[B21] Baspinar B., Ure N.K., Koyuncu E. and Inalhan G., Analysis of Delay Characteristics of European Air Traffic through a Data-Driven Airport-Centric Queuing Network Model, 14th IFAC Symposium on Control in Transportation Systems, May 18-20, 2016
[B20] Koyuncu E, Baspinar B., Guney G. et al, Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism, 7th International Conference on Research in Air Transportation, June 20-24, 2016
[B19] Baspinar B., Koyuncu E., Inalhan G., Large Scale Data-Driven Delay Distribution Model of European Air Traffic Flow Network, 19th Euro Working Group on Transportation Meeting (EWGT 2016), 05-07 September 2016
[B18] Guner G., Koyuncu E., et. al. Delay Analysis Platform Through Secure Information Sharing, Fifth SESAR InnovationDays, Bologna, Italy, 1 – 3 December 2015
[B17] Uzun, M., Koyuncu, E., Inalhan, G., Flight Deck Centered Tactical 4D Trajectory Planning and Collision Avoidance with Flight Envelope Sampling, International Conference on Application and Theory of Automation in Command and Control Systems, Toulouse, France, September 30-October 2, 201
[B16] Massimiliano Z., Koyuncu E., et. al., Enabling the Aviation CO2 Allowance Trading Through Secure Market Mechanisms, Fourth SESAR Innovation Days, Madrid, Spain, 25th – 27th November 2014
[B15] Tarhan A. F., Koyuncu E., Hasanzade M., Ozdemir U., Inalhan G., Formal Intent Based Flight Management System Design for Unmanned Aerial Vehicles, International Conference on Unmanned Aircraft Systems (ICUAS’14),pp. 984-992 27-30, Orlando, FL, USA, 2014
[B14] Uzun M., Guner G., Koyuncu E., Inalhan G., Integrated Flight Deck Testbed with Next Generation Visual Decision Support Tools, International Conference on Research in Air Transportation (ICRAT’14), May 26-30, Istanbul, 2014
[B13] Koyuncu, E., Garcia, E., and Inalhan, G., AUTOFLY-Aid: Multi-Modal Trajectory Projection Approach for Airborne Collision Detection and Avoidance, International Conference on Application and Theory of Automation in Command and Control Systems, 28-30 May, Naples, 2013\
[B12] Koyuncu, E., Tokadli, G., Bahcivan, Z., Inalhan, G., Design of a Pilot-Centered Visual Decision-Support System for Airborne Collision Avoidance, 31st Digital Avionics Systems Conference (DASC'12), Williamsburg, VA, October 14-18, 2012
[B11] Koyuncu, E., Garcia, E., and Inalhan, G., Flight Deck Automation Support with Dynamic 4D Trajectory Management for ACAS: AUTOFLY-AID, Integrated Communications Navigation and Surveillance (ICNS) Conference, pp. C4-1 - C4-9, Herndon, VA, 2012
[B10] Koyuncu, E., Garcia, E., and Inalhan, G., AUTOFLY-Aid: Flight Deck Automation Support with Dynamic 4D Trajectory Management for Responsive and Adaptive Airborne Collision Avoidance, International Conference on Application and Theory of Automation in Command and Control Systems, 29-31 May, London, 2012
[B9] Utku Eren, Elgiz Baskaya, Emre Koyuncu, Melahat Cihan, Caner Akay, Gökhan Inalhan, Design of a Flexible Nanosatellite Bus System for ITUpSAT II, International Conference on Small Satellites 2012, ISSN 0183-0570.
[B8] Elgiz Baskaya, Utku Eren, Emre Koyuncu, Melahat Cihan, Caner Akay, Gokhan Inalhan, A Precise ADCS Design for ITUpSAT II, International Conference on Small Satellites, 2012, ISSN 0183-0570.
[B7] E. Baskaya, U. Eren, Koyuncu E, G. Inalhan, Design and Development of a Reliable ADCS and Indigenous Bus Architecture for Nanosatellites: ITUpSAT II, 63rd International Astronautical Congress, Naples, ITALY, October 1-5, 2012
[B6] Koyuncu, E., Karaman, S., Frazzoli, E., and Inalhan, G., Probabilistic 4D Conflict Detection and Avoidance Strategy in En-Route Air Traffic, International Conference on Application and Theory of Automation in Command and Control Systems, 26- 27 May, Barcelona, Spain, 2011
[B5] Bahcivan, Z., Koyuncu, E., Aydin, S. S., Cinar, E., Cavcar, A., and Inalhan, G., ITU/AU Air Traffic Control Network Simulator for Design, Development and Testing of Automated ATM Systems, International Conference on Application and Theory of Automation in Command and Control Systems, 26-27 May, Barcelona, Spain, 2011
[B4] Koyuncu, E., and et. all, ITU-pSAT II: Highprecision Nanosatellite ADCS Development Project, 5th International Conference on Recent Advances in Space Technologies, 9-11 June, Istanbul, Turkey, 2011
[B3] Inalhan, G., Koyuncu, E., et. all, Design and Development of ITU pSAT II: On orbit demonstration of a highprecision ADCS for nanosatellites, 8th International ESA Conference on Guidance and Navigation Control Systems, 5-10 June, Carlsbad, Czech Republic, 2011
[B2] Koyuncu, E., Inalhan, G., A Probabilistic B-Spline Motion Planning Algorithm for Unmanned Helicopters Flying in Dense 3D Environments, Int. Conf. Intelligent Robots and Systems (IROS'08),Nice, France, September 2008
[B1] Koyuncu, E., Ure, N.K., Inalhan, G., A Probabilistic Algorithm for Mode Based Motion Planning of Agile Air Vehicles in Complex Environments, Int. Federation of Automatic Control World Congress (IFAC WC'08),Seoul, South Korea, June 2008