Emre Koyuncu

Assoc. Prof. of Faculty of Aerospace Engineering

Deputy Manager of Aerospace Research Center, and
         Director of AI, Guidance, Navigation and Control Research Group

Vice Dean of Aerospace Institute, Istanbul Technical University
          Head of Air Transport Management Department

Faculty Building, Room: 008 (Office - not possible to find me!)
Faculty Building, Room: 312 (AIGNC Lab)
ARC Building, Room: 211 (Office) or Room: 101 (Cyber Airspace Lab)

E-mail: emre[dot]koyuncu@itu.edu.tr
Phone: +90 212 285 7554 (Secretary - ARC)

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Emre Koyuncu is an Associate Professor at Istanbul Technical University, Department of Aeronautical Engineering. 
Prof. Koyuncu is currently the Vice-Dean of Aerospace Institute and of Istanbul Technical University, and Co-PI of ITU Aerospace Research Center (ITU ARC) as the director of AI, Guidance, Navigation and Control Research Group (AIGNC-RG).  

Prof. Koyuncu has received his Ph.D. (SESAR JU) 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. 

His research interests lie in the broad areas of aeronautics, robotics, navigation and control theory. In particular, he focuses on:

Optimization-based control, reinforcement learning and probability theory for the design and analysis of high-performance cyber-physical systems

Highly agile unmanned aerial vehicles; Flight trajectory optimization and planning; Airborne conflict detection and resolution

Control authority sharing in AI; Collaborative/Competitive AI algorithms; Empathic AI agents

GPS-denied navigation; Visual Inertial Odometry; Terrain Referenced Navigation

Flight management and decision support systems; High-level autonomy in air traffic control systems

Resiliency and stability assurance in large-scale air traffic networks

Prof. Koyuncu has lead in numerous research grants and industrial projects from institutes and companies such as SESAR JU, BOEING, ASELSAN, HAVELSAN, TAI, TUBITAK, STM, Turkish Airlines, and IGA. He is the recipient of a Boeing Faculty Grant in 2015 and SESAR JU Ph.D. Fellowship during 2012-2015. He is Senior Member of IEEE, member of AIAA and, serves as: 

TC Member of AIAA Air Transportation Systems

TC Member of IEEE RAS Aerial Robotics and Unmanned Aerial Vehicles

TC Member of IEEE Control Systems Society - Hybrid Systems 

TC Member of EUROCONTROL Agency Research Team

Associate Member of General Assembly, Association for the Scientific Development of ATM in Europe (ASDA)

Associate Editor of IEEE Access Journal

Associate Editor on IEEE Control System Society Conference Editorial Board

Technical Expert in SESAR JU Project Evaluations

Advisor to Turkish Aerospace Industry (TAI) Co.

Research Group

AI-based Decision Making and Data-Driven Modeling


Güney Güner

PhD Student, Aero-Astro Eng.

AI-based data manuplation, Data visualisation


Muhammet Aksoy

MSc Student, Aero-Astro Eng.

RL-based decision making in Networks and Noncooperative Games


Fatma Kübra Akın

MSc Student, Aero-Astro Eng.

RL-based decision making in Strategic Games


Hasan İşçi

PhD Student, Aero-Astro Eng.

Combat Maneuver Generation for Fighter Aircraft

Highly Agile Aerial Vehicle Control


Akın Çatak

MSc Student, Aero-Astro Eng.

Robust and Adaptive Model Predictive Control


Mustafa Demir

PhD Student, Aero-Astro Eng.

Cooperative Multi- Aerial Vehicles


Omar Shadeed

MSc Student, Aero-Astro Eng.

Agile Flight Trajectory Tracker Design


Ahmet Talha Çetin

MSc Student, Aero-Astro Eng.

Data Driven Model Predictive Control

Visual Information-based Navigation


Hatice Didem Üzgün

PhD Candidate, Mechatron Eng.

GPS-denied and Visual Navigation


Erfan Roghani

PhD Candidate, Aero-Astro Eng.

Visual Depth Estimation and Visual Navigation


Uygar Yengin

PhD Candidate, Mechatron Eng.

Terrain Referecend Navigation


Arslan Artykov

MSc Student, Aero-Astro Eng.

AI-based Visual Inertial Odometry

Advanced Undergraduate Research Opportunity Program (UROP)

I am always providing research opportunities for talented undergraduate students to elevate their careers toward academia and professional life. Contact me if you feel eligible.
Current UROP Fellows:

H. Nur Toprak — RL-based Flight Control

Murat Özbek — AI-based Air Combat Games

Rabia Tüylek — Visual Target Tracking *SuperUROP

Samet Kaplan — Visual Inertial Navigation *SuperUROP

Arif Mertcan Koca — Model Predictive Control *SuperUROP

 Emre Oğuz —  Visual Inertial Navigation

 Hidayet Ersin Dursun —  Visual Inertial Navigation

 Buğrahan Bayraktar —  RL-based Trajectory Replanning

Industrial Partners and Sponsors

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Current Funded Projects


Smart Visual Guided Drone

In this collaborative work, we are building intelligent drones with fully visual navigation and guidance capabilities. We integrate AI-based visual target tracking and visual-inertial navigation into an autonomous agile drone to defend critical facilities such as airports where electronic warfare support, e.g. electroninc jamming, GPS-spoofing, etc., is not possible. The developed drones enable end-to-end autonomous operations with intelligent decisions without building any link with GPS and ground systems.

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SRUS: Agile and SWARM Drones

We are partnering with HAVELSAN to develop agile drone swarms and carrier unmanned VTOL platforms, enabling broad UAV operations. ITU ARC fully designs and builds small-size drones with agile flight envelopes. These drones can navigate in GPS-denied environments using visual odometry and target tracking in addition to leader following. The unmanned VTOL platforms carry small-sized drones and provide tactical level information by utilizing their surveillance and SIGINT capabilities. The carrier platforms can also provide laser designation for coordinated operations. In this collaborative development, for VTOL platforms, the ITU ARC team provides controller, flight management, and navigation modules with their algorithms and avionics.

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AI-based Aircraft Predictive Maintenance

We are investigating novel methodologies for predictive maintenance based on Big Data Analytics and Data Mining. With the collaboration of Turkish Airlines and Turkish Technic, we are building predictive maintenance is recognized by 66% of the airlines as one of the most prominent new technologies to have entered the market by 2020. Our aim of predictive maintenance is first to predict when a component failure might occur, and secondly, to prevent the occurrence of the failure by performing maintenance. Monitoring for future failure allows maintenance to be planned before the failure occurs, thus reduce unscheduled removals and avoid Aircraft-on-Ground (AOG).

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START: Resilient ATM Network Management

In this project, we run research on applying information spreading process to model the uncertainty propagation over air transportation network. To construct the parametric model of the network, we utilize the real flight data of the European air traffic flow. The physical parameters of the network extracted from the dataset are transformed into a parameter set of the epidemic model to simulate the propagation of delay. Then, we build a control mechanism the infection rates ensuring the stability of the meta-population network, which means to manage the traffic flow between the airports, where the problem is transformed into an optimization and reinforcement learning problem.


FACT: Urban Unmanned Aerial Vehicle Management

The project FACT will bring a much-needed update to CNS technology and build the bridge between future U-space services (expecting fully digital and highly automated) and conventional ATM systems considering both technological and users’ perspectives. The main overall objective(s) of the project FACT is to increase safety, security, efficiency, and robustness of future air traffic environment through the development of integrated CNS functional architecture supporting the use of a common performance-based approach for CNS functions addressing the needs of a large spectrum of airspace users across varied operational environments. It will address and bring benefits for both existing and new airspace users, such as drones or urban air mobility.


Past Projects


Flight Trajectory Wind Error Recovery with AI

The project proposed to develop advanced algorithms to reduce uncertainty in weather forecast in trajectory prediction. The fundamental data set is the aircraft trajectories from the radar measurements that encapsulate information about the uncertain parameters such as wind vector. The aim was to build a probabilistic “wind map” to capture the wind estimation error and convert this sparse information into a complete wind map.


COPTRA: Combining Probable Trajectories

COPTRA's objective is detailed with three sub-objectives developed through three research work packages: a) define the concept of probabilistic trajectory prediction; b) define the probabilistic traffic concept and study how it can be constructed by combining probabilistic trajectories, using the probabilistic trajectory definition; and c) apply probabilistic traffic to Air Traffic Control (ATC) planning.


HETS: Helicopter Terrain Avoidance Support System

In this project, we developed a safe flight navigation algorithm for helicopter TAWS avionics, which supports pilot with visual guidance for low visibility and close-to-terrain operations. Specifically, the algorithm use the performance models, monitors the potential terrain collisions and issues alerts with visual guidance to the pilot. Moreover, the algorithm tracks the divergence of flown trajectory from the predicted one due to lack of partial state measurement, and provides real-time parametric system identification and pilot intent prediction.


Trajectory Prediction System for Air Traffic Controller Working Position

In this project, we developed a safe flight navigation functions for air traffic controller working position. These functions provide real time  decision support  and enables training simulation scenerios for ATCos.


AUTOFLY-AID: A Smart Cockpit System

AUTOFLY-Aid aimed to develop and demonstrate novel automation support algorithms and tools to the flight crew for flight critical collision avoidance using “dynamic 4D trajectory management”. The automation support system is envisioned to improve the primary shortcomings of TCAS, and to aid the pilot through add-on avionics/head-up displays and reality augmentation devices in dynamically evolving collision avoidance scenarios.


AI-based Real-Time Airspace Threat Detection: AI-Radar

In this project, we built AI-based real-time airspace monitoring and anomaly/threat detection models in order to provide safe air flight traffic. The model involves two layers, enabling to detect flight trajectory anomalies through processing individual flights and historical trajectory patterns. The individual flight trajectories are tracked through online flight performance clustering, allowing us to classify the aircraft types in the airspace. Historical flight trajectory bundles are identified for each flight operation, and the individual conflicts with these distinguished patterns are detected through artificial intelligence methodologies.



For the full-text of the publications, please visit my ResearchGate or Google Scholar pages. If you are having trouble finding them, feel free to contact me.

Journal Articles and Book Chapters

Event-Based Air Transport Network Resiliency Management with Meta-Population Epidemic Model, 
Journal of Aerospace Information Systems, vol. 18, n.9, 2021
Baspinar, B., Altun, A. T., Koyuncu, E., 

A Dynamically Feasible Fast Replanning Strategy with Deep Reinforcement Learning, 
Journal of Intelligent and Robotic Systems, v. 101, issue 1, 2021
Hasanzade, M., Koyuncu, E., 

Optimization-Based Autonomous Air Traffic Control for Airspace Capacity Improvement, 
IEEE Transactions on Aerospace and Electronic Systems, 2020
Baspinar, B., Koyuncu, E., 

Assessment of Aerial Combat Game via Optimization-Based Receding Horizon Control, 
IEEE Access, vol. 8, pp. 35853-35863, 2020, doi: 10.1109/ACCESS.2020.2974792
Baspinar, B., Koyuncu, E., 

Mission Planning and Control of Multi-Aircraft Systems With Signal Temporal Logic Specifications, 
IEEE Access, vol. 7, pp. 155941-155950, 2019. doi: 10.1109/ACCESS.2019.2949426
Baspinar, B., Balakrishnan H., Koyuncu, E.,

Evaluation of Two-vs-One Air Combats Using Hybrid Maneuver-Based Framework and Security Strategy Approach, 
Journal of Aeronautics and Space Technologies, v. 12-1, pg. 95-107, January 2019
Baspinar, B., Koyuncu, E., 

Data-Driven Trajectory Uncertainty Quantification For Climbing Aircraft To Improve Ground-Based Trajectory Prediction, 
Journal of Science and Technology (AUJST-A), 2017
Uzun M., 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
Baspinar B., Koyuncu E., 

Large Scale Data-Driven Delay Distribution Models of European Air Traffic Flow Network, 
Transportation Research Procedia, Elseiver, 2017
Baspinar B., Koyuncu E., 

A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models, 
International Journal of Aerospace Engineering 2016:1-11
Baspinar B., Koyuncu E., 

Cross-Entropy based Cost Efficient 4D Trajectory Generation for Airborne Conflict Resolution, 
The Inst. ofMechanical Eng., Part G, Jour. of Aerospace Engineering, SAGE, 2016
Koyuncu E., Uzun M., Inalhan, G., 

Collaborative Intent Exchange Based Flight Management System with AirborneCollision Avoidance for UAS, 
Journal of Intelligent and Robotics Systems, Springer, 2016
Pasaoglu C., Akcam N., Koyuncu E., Tarhan A. F., Inalhan G., 

Towards a secure trading of aviation CO₂ allowance, 
Journal of Air Traffic Management (JATM), Elseiver, 2016
Massimiliano Z., Koyuncu E., et al., 

Innovative Collaborative Task Allocation for UAVs, 
Handbook of Unmanned Aerial Vehicles, Ed. Kimon P. Valavanis and George J. Vachtsevanos, 2015
Karaman, S., Koyuncu E., Inalhan, G., 

Exploiting Delayed and Imperfect Information for Generating Approximate UAV Target Interception Strategy,  
Journal ofIntelligent and Robotics Systems, DOI: 10.1007/s10846-012-9693-6, Springer, 2012
Koyuncu E., Inalhan, G., 

ITU Tailless UAV Design, 
Journal of Intelligent and Robotics Systems, DOI: 10.1007/s10846-012-9695-4, Springer, 2012
Karakas, H., Koyuncu E., Inalhan, G., 

Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs, 
Journal ofIntelligent and Robotics Systems, DOI: 10.1007/s10846-009-9367-1, Springer, January 2010
Koyuncu E., Ure, N. K., 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
Koyuncu, E., Inalhan, G., 

Conference Publications

Deep Reinforcement Learning based Aggressive Collision Avoidance with Limited FOV under Dynamic Constraints, 2021 IEEE Conf. on Control Technology and Applications (CCTA), 8-11 August, 2021 (Submitted)
Hasanzade, M., Shadeed, O., Koyuncu, E.,

Flight Trajectory Pattern Generalization and Abnormal Flight Detection with Generative Adversarial Network, AIAA SciTech Forum, 11-15 January 2021
Aksoy, M., Ozdemir, O., Guner, G., Baspinar, B., Koyuncu, E.,

Deep Reinforcement Learning based Aggressive Flight Trajectory Tracker, AIAA SciTech Forum, 11-15, January 2021
Shadeed, O., Hasanzade, M., Koyuncu, E.,

Monocular Depth Estimation with Artificial Neural Networks Trained on Synthetic RGB-D Data Sets, 7th Int Conf. on Control, Decision and Information Tech. (CoDIT), Prague, Czech Republic, June 29 - July 2, 2020
Roghani, E., Koyuncu, E.,

Trajectory-based Agile Multi UAV Coordination through Time Synchronisation, AIAA SciTech Forum,Orlando, Florida, 6-10 January 2020
Turkmen, H., Shadeed, O., Koyuncu, E.,

Deep Learning Techniques for Improving Estimations of Key Parameters for Efficient Flight Planning, IEEE/AIAA Digital Avionics Systems Conference, 2019
Uzun, M, Demirezen, M. U., Koyuncu, E., Inalhan, G., Lopez J., and Vilaplana, M.,

Design of a Hybrid Digital-twin Flight Performance Model through Machine Learning, IEEE Aerospace Conference, Big Sky, Montana, 2-9 March, 2019
Uzun M., Demirezen M., Koyuncu E., Inalhan G.,

Learning-based Aircraft Trajectory Planning Enhancement, AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019), San Diego, California, 7-11 January 2019
Alizadeh A., Koyuncu E.,

Trajectory Generation and Regeneration for Constrained Differentially Flat Control Systems, IEEE Aerospace Conference, Big Sky, Montana, Mar 2 - Mar 9, 2019
Roghani E., Koyuncu E., Uzun, M.,

A Framework for Analysis of Combat Maneuvers Input Strategy using Energy-Based Metrics, AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019), San Diego, California, 7-11 January 2019
Humaira N., Koyuncu E.,

A Simulation-Based Development and Verification Architecture for Micro UAV Teams and Swarms, AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019), San Diego, California, 7-11 January 2019
Demirezen U., Koyuncu E. and et. all.,

Differential Flatness-based Optimal Air Combat Maneuver Strategy Generation, AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019), San Diego, California, 7-11 January 2019
Baspinar B., Koyuncu E.,

Survivability based Optimal Air Combat Mission Planning with Reinforcement Learning, 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, August 21-24, 2018
Baspinar, B., Koyuncu, E.,

Optimal Trajectory Planning based on Wind-Optimal Cost Index, 2018 Aviation Technology, Integration and Operations Conference, AIAA AVIATION Forum, Atlanta, GA, June 25-29, 2018
Alizadeh, A., Uzun, M., and Koyuncu, E.,

Estimated Time of Arrival Sensitivity to Aircraft Intent Uncertainty, 15th IFAC Sympo-sium on Control in Transportation Systems CTS 2018, Genova, Italy, June 6-8, 2018
Casado, E., Civita, M. L., Uzun, M., Koyuncu, E., Inalhan, G.,

Optimal En-Route Trajectory Planning based on Wind Information, 15th IFAC Symposium onControl in Transportation Systems CTS 2018, Genova, Italy, June 6-8, 2018
Alizadeh, A., Uzun, M., Koyuncu, E., Inalhan, G.,

RF Source Localization using Unmanned Aerial Vehicle with Particle Filter, The 9-th Int. Conference on Mechanical and Aerospace Engineering (ICMAE 2018), Budapest, Hungary, July 10-13, 2018 (Best Session Paper)
Hasanzade, M., Herekoğlu, Ö., Yeniçeri, R., Koyuncu, E., İnalhan, G.,

Aerial Combat Simulation Environment for One-on-One Engagement, AIAA SciTech Forum and Exposition: Modelling and Simulation Technologies, Gaylord Palms, Kissimmee, FL, 8-12 January 2018
Baspinar, B., Koyuncu, E.,

Managing Air Transport Demand and Capacity via Stochastic Modelling Approach, 9th Ankara Int. Aerospace Conference, Ankara, September 2017
Baspinar, B., Koyuncu, E.,

A 4D Trajectory Generation Infrastructure Tool for ControllerWorking Position, IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, USA, 17-21 Sept. 2017
Baspinar, B., Uzun, M., Guven, A. F., Basturk, T., Tasdelen, I., Koyuncu, E., Inalhan, G.,

Enabling Centralized UTM services through cellular network for VLL UAVs, Integrated Comm., Navigation and Surveillance Conference (ICNS), April 2017
Yeniceri, R., Hasanzade, M., Koyuncu, E., İnalhan, G.,

Takeoff weight error recovery for tactical trajectory prediction automaton of air traffic control operator, IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, USA, 17-21 Sept. 2017
Uzun, M., Başpınar, B., Koyuncu, E., İnalhan, G.,

Localization and tracking of RF emitting targets with multiple un-manned aerial vehicles in large scale environments with uncertain transmitter power, Int. Conf. on Unmanned Aircraft Systems(ICUAS), Miami, FL, 13-16 June 2017
Hasanzade, M., Herekoglu, O., Ure, N. K., Koyuncu, E., Yeniceri, R., 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
Baspinar B., Ure N.K., Koyuncu E. and Inalhan G.,

Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism, 7th Int. Conference on Research in Air Transportation, June 20-24, 2016
Koyuncu E, Baspinar B., Guney G. et al,

Large Scale Data-Driven Delay Distribution Model of European Air Traffic Flow Network, 19th Euro WorkingGroup on Transportation Meeting (EWGT 2016), 05-07 September 2016
Baspinar B., Koyuncu E., Inalhan G.,

Delay Analysis Platform Through Secure Information Sharing, Fifth SESAR Innovation Days, Bologna, Italy, 1 – 3December 2015
Guner G., Koyuncu E., et. al.,

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, 2015
Uzun, M., Koyuncu, E., Inalhan, G.,

Enabling the Aviation CO2 Allowance Trading Through Secure Market Mechanisms, Fourth SESAR Innovation Days, Madrid, Spain, 25th – 27th November 2014
Massimiliano Z., KoyuncuE., et. al.,

Formal Intent Based Flight Management System Design for Unmanned AerialVehicles, International Conference on Unmanned Aircraft Systems (ICUAS’14),pp. 984-992 27-30, Orlando, FL, USA, 2014
Tarhan A. F., Koyuncu E., Hasanzade M., Ozdemir U., 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
Uzun M., Guner G., Koyuncu E., 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
Koyuncu, E., Garcia, E., and 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
Koyuncu, E., Tokadli, G., Bahcivan, Z., 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
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
Koyuncu, E., Garcia, E., and Inalhan, G.,

Design of a Flexible Nanosatellite Bus System for ITUpSAT II, InternationalConference on Small Satellites 2012, ISSN 0183-0570
Eren, U., Baskaya, E., Koyuncu, E., Cihan, M., Akay, C., Inalhan, G.,

A Precise ADCS Design for ITUpSAT II, International Conference on SmallSatellites, 2012, ISSN 0183-0570
Baskaya, E., Eren, U., Koyuncu, E., Cihan, M., Akay, C., Inalhan, G.,

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
Baskaya, E., Eren, U., Koyuncu E., Inalhan, G.,

Probabilistic 4D Conflict Detection and Avoidance Strategy in En-Route Air Traffic, Int. Conference on Application and Theory of Automation in Command and Control Systems, 26-27 May, Barcelona, Spain, 2011
Koyuncu, E., Karaman, S., Frazzoli, E., and Inalhan, G.,

ITU/AU Air Traffic Control Network Simulator for Design, Developmentand Testing of Automated ATM Systems, Int Conf on Application and Theory of Automation in Command and Control Systems,26-27 May, Barcelona, Spain, 2011
Bahcivan, Z., Koyuncu, E., Aydin, S. S., Cinar, E., Cavcar, A., and Inalhan, G.,

ITU-pSATII: High-precision Nanosatellite ADCS Development Project, 5th International Conference on Recent Advancesin Space Technologies, 9-11 June, Istanbul, Turkey, 2011
Koyuncu, E., and et. all,

Design and Development of ITU pSAT II: On orbit demonstration of a high¬precision ADCS for nanosatellites, 8th Int ESA Conf on Guidance and Navigation Control Systems, 5-10 June, Carlsbad, Czech Republic, 2011
Inalhan, G., Koyuncu, E., et. all,

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
Koyuncu, E., 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
Koyuncu, E., Ure, N.K., Inalhan, G.,