Publications
T. C. Akinci, O. Topsakal and M. I. Akbas. Machine Learning Methods from Shallow Learning to Deep Learning. In: Shallow Learning vs. Deep Learning. The Springer Series in Applied Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-031-69499-8_1, 2024.
Details BibTeX DownloadJ. A. Gonzalez Nunez, J. G. Gonzalez Nunez, M. I. Akbas, P. Currier and N. D. Macchiarella. "Real-Time Detection of Sea Turtles Using UAS and Neural Networks on Edge Devices," In the Journal of Aviation/Aerospace Education & Research (JAAER), 33(5). https://doi.org/10.58940/2329-258X.2060, 2024.
Details BibTeX DownloadA. K. Thompson, D. D. Patel and M. I. Akbas. "Formulating a Comprehensive Cybersecurity Framework for Uncrewed Aerial Vehicles." Accepted for publication in the Proceedings of the IEEE International Performance Computing and Communications Conference (IEEE IPCCC) Workshop on AI-driven Digital Twins & Emerging Technologies toward Autonomous Intelligence, November 2024.
Details BibTeX DownloadI. Kutlu, Q. Goss, T. C. Akinci and M. I. Akbas. "Formal Modeling of Road Network-Based Autonomous Vehicle Validation Scenarios With Intersections and Pedestrians." Accepted for publication in the Proceedings of the IEEE International Performance Computing and Communications Conference (IEEE IPCCC) Workshop on AI-driven Digital Twins & Emerging Technologies toward Autonomous Intelligence, November 2024.
Details BibTeX DownloadR. Razdan, S. O. Alsweiss, M. I. Akbas, E. Lynn, G. Lynn, D. Morgen, R. Sell, L. Spellman, D. Sturges, J. W. Taylor. "Micromobility and the Next Infrastructure Wave ." No. EPR2024022. SAE EDGE™ Research Report, October, doi: 10.4271/EPR2024022, 2024.
Details BibTeX DownloadMalayjerdi, Mohsen, Raivo Sell, Ehsan Malayjerdi, Mustafa İlhan Akbaş, and Rahul Razdan. "Real-Life Experiences in Using Open Source for Autonomy Applications" Engineering Proceedings 79, no. 1: 19. https://doi.org/10.3390/engproc2024079019, 2024.
Details BibTeX DownloadQ. Goss, W. C. Pate and M. I. Akbas. "An Integrated Scenario-Based Testing and Explanation Framework for Autonomous Vehicles." In the IEEE International Conference on Mobility: Operations, Services, and Technologies (IEEE MOST), pp. 60-71, doi: 10.1109/MOST60774.2024.00015, Dallas, TX, USA, May 2024.
Details BibTeX DownloadM. I. Akbas, M. Menase, S. Verma and R. Razdan. "PolyFlows: Modular Test Framework Design for Autonomous Vehicles." In the IEEE International Conference on Mobility: Operations, Services, and Technologies (IEEE MOST), pp. 50-59, doi: 10.1109/MOST60774.2024.00014, Dallas, TX, USA, May 2024.
Details BibTeX DownloadO. Topsakal, J. Glinton, M. I. Akbas, and M. Celikoyar, "Open Source 3D Morphing Software for Facial Plastic Surgery and Facial Landmark Detection Research and Open Access Face Dataset Based on Deep Learning (AI) Generated Synthetic 3D Models," In Facial Plastic Surgery & Aesthetic Medicine, doi: https://doi.org/10.1089/fpsam.2023.0030, vol. 26:2, April, 152-159, March 2024.
Details BibTeX DownloadM. Malayjerdi, Q.Goss, M. I. Akbas, R. Sell and M. Bellone. "A Two-Layered Approach for the Validation of an Operational Autonomous Shuttle," in IEEE Access, vol. 11, pp. 89124-89137, doi: 10.1109/ACCESS.2023.3306602, August 2023.
Details BibTeX DownloadO. Topsakal, M. I. Akbas, S. Storts, L. Feyzullayeva and M. Celikoyar, "Textured Three Dimensional Facial Scan Dataset: Amassing a Large Dataset Through a Mobile iOS Application," in Facial Plastic Surgery & Aesthetic Medicine, doi: 10.1089/fpsam.2023.0232, December 2023.
Details BibTeX DownloadR. Razdan, M. I. Akbas, R. Sell, M. Bellone, M. Menase and M. Malayjerdi. "PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration," in IEEE Access, vol. 11, pp. 28343-2835, doi: 10.1109/ACCESS.2023. 3258681, March 2023.
Details BibTeX DownloadE. Keck and M. I. Akbas. "Finding Critical Areas of Concern for sUAS Collision Avoidance," in the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Paper No. 22234, November, Orlando, Florida, 2023.
Details BibTeX DownloadJ. A. Gonzalez Nunez and M. I. Akbas. "Crowdsensing of Meteorological Data for Safety and Efficiency of Unmanned Aerial Traffic in Urban Environment ," in the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Paper No. 23382, November, Orlando, Florida, 2023.
Details BibTeX DownloadM. I. Akbas, M. Menase and R. Razdan. "Demo: Modular Test Frameworks for PolyVerif Autonomous Vehicle Validation Environment," In the IEEE Conference on Local Computer Networks (IEEE LCN), October, Daytona Beach, Florida, doi: 10.1109/LCN58197.2023.10223318, 2023.
Details BibTeX DownloadJ. A. Gonzalez Nunez and M. I. Akbas. "Demo: Agent-Based Crowdsensing Simulation for Urban Meteorological Data Collection and Hybrid Aerial-Terrestrial Route Determination," In the IEEE Conference on Local Computer Networks (IEEE LCN), October, Daytona Beach, Florida, doi: 10.1109/LCN58197.2023.10223330, 2023.
Details BibTeX DownloadH. S. Nogay, T. C. Akinci, M. I. Akbas and A. Tokic."Diagnosis of Chaotic Ferroresonance Phenomena Using Deep Learning," in IEEE Access, vol. 11, pp. 58937-58946, doi: 10.1109/ACCESS.2023.3285816, June 2023.
Details BibTeX DownloadJ. M. Thompson, Q. Goss and M. I. Akbas. "A Strategy for Boundary Adherence and Exploration in Black-Box Testing of Autonomous Vehicles ." In the IEEE International Conference on Mobility: Operations, Services, and Technologies (IEEE MOST), Detroit, MI, USA, May 2023, pp. 193-201, doi: 10.1109/MOST57249.2023.00028, May 2023.
Details BibTeX DownloadO. Topsakal, E. J. Dobratz, M. I. Akbas, W. Dougherty, T. C. Akinci and M. Celikoyar, "Utilization of Machine Learning for the Objective Assessment of Rhinoplasty Outcomes," in IEEE Access, vol. 11, pp. 42135-42145, doi: 10.1109/ACCESS.2023.3270438, April 2023.
Details BibTeX DownloadQ. Goss and M. I. Akbas. "Integration of Formal Specification and Traffic Simulation for Scenario-Based Validation ." In the IEEE International Conference on Mobility: Operations, Services, and Technologies (IEEE MOST), Detroit, MI, USA, pp. 213-222, doi: 10.1109/MOST57249.2023.00030, May 2023.
Details BibTeX DownloadG. Gokmen, T. C. Akinci, G. Kocyigit, I. Kiyak, M. I. Akbas, "Estimating Average Power of Welding Process with Emitted Noises based on Adaptive Neuro Fuzzy Inference System," in IEEE Access, vol. 11, pp. 39154-39164, doi: 10.1109/ACCESS.2023.3268525, April 2023.
Details BibTeX DownloadJ. M. Thompson, Q. Goss and M. I. Akbas. "Boundary Adherence and Exploration in High Dimensions for Validation of Black-Box Systems." In the IEEE World Forum on Internet of Things (IEEE WFIoT), Yokohama, Japan, 2022, pp. 1-6, doi: 10.1109/WF-IoT54382.2022.10152207, November, 2022.
Details BibTeX DownloadL. Oseguada and M. I. Akbas. "Using Agent-Based Modeling and Simulation to Evaluate Collision Avoidance in UAS Swarms." In the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), November, 2022.
Details BibTeX DownloadT. Neubauer and M. I. Akbas. "SOSUAS: Stability Optimized Swarming for Unmanned Aerial Systems." In the AIAA/IEEE Digital Avionics Systems Conference (DASC), September, 2022.
Details BibTeX Download SlidesR. Stansbury, M. I. Akbas, Philip Craiger, and Matthew A. Verleger. "Enhancing STEM ROTC Training in Aviation Cybersecurity." Final Technical Report, Office of Naval Research, N00014-20-1-2515, August, 2022.
Details BibTeX DownloadM. A. Verleger, R. Stansbury, M. I. Akbas and J. P. Craiger. "An Undergraduate Research Experience in Unmanned Aircraft Systems (UAS) Cybersecurity – Outcomes and Lessons Learned." In the American Society of Engineering Education (ASEE) Annual Conference and Exposition, July, 2022.
Details BibTeX DownloadQ. Goss and M. I. Akbas. "Eagle Strategy with Local Search for Scenario Based Validation of Autonomous Vehicles." In the IEEE International Conference on Connected Vehicles and Expo (ICCVE), March, 2022.
Details BibTeX Download SlidesQ. Goss, L. Crump and M. I. Akbas. "SUMO Traffic Simulator Interface for Scenic." In the ERAU Discovery Day, March, 2022.
Details BibTeX Download PosterQ. Goss and M. I. Akbas. "A Nature-Inspired Approach for Scenario-Based Validation of Autonomous Systems.'' In the Beyond: Undergraduate Research Journal 6, no. 1 (2022): 1, 2022.
Details BibTeX DownloadS. I. Muna, S. Mukherjee, K. Namuduri, M. Compere, M. I. Akbas, P. Molnar, R. Subramanian. “Air Corridors: Concept, Design, Simulation, and Rules of Engagement.” In MDPI Sensors, 21(22):7536 , November, 2021.
Details BibTeX DownloadM. Eleffendi, D. Posada, M. I. Akbas and T. Henderson. "NASA/GSFC’s Flight Software Core Flight System Implementation for a Lunar Surface Imaging Mission". In the AAS/AIAA Astrodynamics Specialist Conference, August, 2021.
Details BibTeX DownloadM. I. Akbas, K. Adkins and M. Compere. "Real-Time Urban Observations for Aviation." In the AIAA Aviation Forum, August, 2021.
Details BibTeX DownloadQ. Goss, Y. AlRashidi, and M. I. Akbas. "Generation of Modular and Measurable Validation Scenarios for Autonomous Vehicles Using Accident Data". In the IEEE Intelligent Vehicles Symposium (IEEE IV), pp. 251-257, July, 2021.
Details BibTeX Download SlidesO. Topsakal, M. I. Akbas, B. S. Smith, M. F. Perez, E. C. Guden and M.M. Celikoyar. "Evaluating the Agreement and Reliability of a Web-Based Facial Analysis Tool for Rhinoplasty." The International Journal of Computer Assisted Radiology and Surgery (Int J CARS), 16, 1381-1391, Springer, https://doi.org/10.1007/s11548-021-02423-z, 2021.
Details BibTeX DownloadA. J. Alnaser, A. Sargolzaei and M. I. Akbas. "Autonomous Vehicles Scenario Testing Framework and Model of Computation: On Generation and Coverage.'' In IEEE Access, April, pp. 1-12, doi: 10.1109/ACCESS.2021.3074062, 2021.
Details BibTeX DownloadM. Aydin and M. I. Akbas. "Identification of Test Scenarios for Autonomous Vehicles Using Fatal Accident Data." In the Society of Automotive Engineers (SAE) International Journal of Connected and Automated Vehicles (SAE J CAV), 4(1):119-132, 2021.
Details BibTeX DownloadM. I. Akbas. “Testing and Validation Framework for Autonomous Aerial Vehicles.” In the Journal of Aviation/Aerospace Education & Research (JAAER), 30(1), 2021.
Details BibTeX DownloadM. A. Verleger, R. Stansbury, M. I. Akbas and J. P. Craiger. "Work-In-Progress: Developing Undergraduate Research Experiences in Unmanned Aircraft Systems (UAS) Cybersecurity." In the American Society of Engineering Education (ASEE) Annual Conference, July, 2021.
Details BibTeX DownloadR. Razdan, J. Wall, B. Volkow, D. Cauchy, S. Kato, M. Menase, M. I. Akbas, A. Atzmon. "Unsettled Issues Regarding Autonomous Vehicles and Open-Source Software." No. EPR2021009. SAE EDGE™ Research Report, April, 2021.
Details BibTeX DownloadM. M. Celikoyar, M. Perez, M. I. Akbas, O. Topsakal. "Facial Surface Anthropometric Features and Measurements with an Emphasis on Rhinoplasty." In the Aesthetic Surgery Journal, Oxford University Press, sjab190, April, 2021.
Details BibTeX DownloadO. Topsakal, M. I. Akbas, B. S. Smith, M. Perez, E. C. Guden, M. M. Celikoyar. "Evaluating Intra and Inter Reliability of a Web-Based Facial Analysis Tool for Rhinoplasty" In the Computer Assisted Radiology and Surgery (CARS) Congress, June, 2021.
Details BibTeX DownloadY. AlRashidi, S. Toloza, H. Denys, J. Gattuso, E. Nunez and M. I. Akbas. "Aiding Rhinoplasty Surgeons with 3D Imaging and a Rule-Based Adjustment Algorithm". In the IEEE SoutheastCon, March, 2021.
Details BibTeX DownloadA. Chakeri, X. Wang, Q. Goss, M. I. Akbas and L. G. Jaimes. "A Platform-based Incentive Mechanism for Autonomous Vehicle Crowdsensing." In IEEE Open Journal of Intelligent Transportation Systems, Volume:2, pp. 13-23, February, 2021.
Details BibTeX DownloadK. Adkins, M. I. Akbas and M. Compere. "Real-Time Urban Weather Observations for Urban Air Mobility." In the International Journal of Aviation, Aeronautics, and Aerospace (IJAAA), 7(4), November, 2020.
Details BibTeX DownloadR. Razdan, M. I. Akbas, Jim Cherian, Niels de Boer, B. Schmidt, R. Sell, C. Tino. "Unsettled Topics Concerning Autonomous Public Transportation Systems." No. EPR2020020. SAE EDGE™ Research Report, October, 2020.
Details BibTeX DownloadC. Medrano-Berumen and M. I. Akbas. “Validation of Decision Making in Artificial Intelligence Based Autonomous Vehicles.” In the Journal of Information and Telecommunication (JIT), 1-21, Taylor & Francis, September, 2020.
Details BibTeX DownloadR. Razdan, W. Mahoney, E. Haritan, A. Kalia, J. Smith, T. Zarola, M. I. Akbas, Joachim Taiber, E. Straub, R. Sell. "Unsettled Topics Concerning Automated Driving Systems and the Development Ecosystem." No. EPR2020004. SAE EDGE™ Research Report, March, 2020.
Details BibTeX DownloadM. I. Akbas. "Research Experience for Undergraduates During COVID-19 ". In Florida Statewide Symposium on Undergraduate Research, 2020.
Details BibTeX Download SlidesO. Topsakal, M. I. Akbas, D. Demirel, R. Nunez, B. Smith, M. F. Perez, M.M. Celikoyar. "Digitizing Rhinoplasty: A Web Application for Pre-Operative Evaluation to Assist Rhinoplasty Surgeons with Surgical Planning." in the International Journal of Computer Assisted Radiology and Surgery (IJCARS), 15, pp. 1941-1950, Springer, https://doi.org/10.1007/s11548-020-02251-7, 2020.
Details BibTeX DownloadC. Stark, C. Medrano-Berumen and M. I. Akbas. "Generation of Autonomous Vehicle Validation Scenarios Using Crash Data." In the IEEE SoutheastCon, March, 2020.
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O. Topsakal, M. I. Akbas, D. Demirel, B. Smith, M. F. Perez, M.M. Celikoyar. "Digitizing Rhinoplasty: A Web Application for Three Dimensional Preoperative Planning." In the Computer Assisted Radiology and Surgery (CARS) Congress, June, 2020.
Details BibTeX Download SlidesC. Medrano-Berumen and M. I. Akbas. “Scenario Generation for Validating Artificial Intelligence Based Autonomous Vehicles.” In the Conference of Intelligent Information and Database Systems (ACIIDS), Special Session on Privacy, Security and Trust in Artificial Intelligence (PSTrustAI), pp. 481-492, Springer, March, 2020.
Details BibTeX Download SlidesC. Medrano-Berumen, M. Malayjerdi, M. I. Akbas, R. Sell and R. Razdan. "Development of a Validation Regime for an Autonomous Campus Shuttle." In the IEEE SoutheastCon, March, 2020.
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Q. Goss, M. I. Akbas, A. Chakeri and L. G. Jaimes. "An Association Rules Learning Approach to Unsupervised Classification of Street Networks." In the IEEE SoutheastCon, March, 2020.
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M. I. Akbas. "Validation Framework for Autonomous Aerial Vehicles." In the National Training Aircraft Symposium (NTAS), March, 2020.
Details BibTeX Download SlidesX. Wang, Q. Goss, M. I. Akbas, A. Chakeri, J. Calderon and L. G. Jaimes. "Incentive Mechanism for Vehicular Crowdsensing with Budget Constraints." In the IEEE SoutheastCon, March, 2020.
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A. J. Alnaser, M. I. Akbas, A. Sargolzaei and R. Razdan. "Autonomous Vehicles Scenario Testing Framework and Model of Computation''. SAE (Society of Automotive Engineers) International Journal of Connected and Automated Vehicles, 2(12-02-04-0015), 205-218., December, 2019.
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H. Chintakunta, M. I. Akbas. "Spectrum Analytic Approach for Cooperative Navigation of Connected and Autonomous Vehicles." In Proceedings of the ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet), pp. 97-104, November, 2019.
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R. Razdan, M. I. Akbas, A. Sargolzaei, A. J. Alnaser, S. Sahawneh, S. Alsweiss, J. Vargas. "Unsettled Technology Areas in Autonomous Vehicle Test and Validation". SAE (Society of Automotive Engineers) EDGE™ Research Report EPR2019001, June, 2019.
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J. Boxold, J. W. Taylor, R. Watts, G. Ralston, D. Neef, P. Mayor and R. Razdan, (M. I. Akbas as a contributor). “Unsettled Topics Concerning Automated Driving Systems and the Transportation Ecosystem”. Society of Automotive Engineers (SAE) Edge Research Report EPR2019005, 2019.
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H. Chintakunta, M. I. Akbas. "CANSAVE: Cooperative Autonomous Navigation To Support Autonomous Emergency Vehicles". In the Intelligent Transportation Society (ITS) of America Annual Meeting, Washington DC, June, 2019.
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M. I. Akbas, C. A. Long, S. K. Hanumanthu, E. Anderson and R. Razdan. "FPolyOS: A Simulation Platform to Explore Breakthrough Concepts in Intelligent Transportation". In Proceedings of the IEEE SoutheastCon, April, 2019.
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C. Medrano-Berumen and M. I. Akbas. "Abstract Simulation Scenario Generation for Autonomous Vehicle Verification". In Proceedings of the IEEE SoutheastCon, April, 2019.
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Q. Goss, M. I. Akbas, L. G. Jaimes and R. Sanchez-Arias. "Street Network Generation with Adjustable Complexity Using k-Means Clustering". In Proceedings of the IEEE SoutheastCon, April, 2019.
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S. Sahawneh, A. J. Alnaser, M. I. Akbas, A. Sargolzaei and R. Razdan. "Requirements for the Next-Generation Autonomous Vehicle Ecosystem." In Proceedings of the IEEE SoutheastCon, April, 2019.
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M. Medved, M. Horton and M. I. Akbas. "Neural network based prediction and simulation of local red tide occurrence in Florida". In the Florida Academy of Sciences Conference, March, 2019.
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S. Boyd, M. Horton and M. I. Akbas. "Dermatologic biomarker on preventing security breaches of electronic health records in advanced dermatology and cosmetic surgery: A Conceptual Framework". In the Florida Academy of Sciences Conference, March, 2019.
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L. G. Jaimes and M. I. Akbas. "Incentive Mechanisms for Mobile Crowdsourcing, Reaching Spatial and Temporal Coverage Under Budget Constraints". In the National Science Foundation (NSF) Cyber Physical Systems (CPS) PI Meeting, November, 2018.
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C. Medrano-Berumen and M. I. Akbas. “Verification of Autonomous Vehicles Through Simulation Using MATLAB ADAS Toolbox”. In the Florida Automated Vehicles Summit, November, 2018.
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M. I. Akbas and S. Taj. “Intelligent Mobility Concentration for Undergraduate Students in Data Science and Business Analytics". In the North American Conference on Industrial Engineering and Operations Management (IEOM), University of the District of Colombia (UDC), pp. 1233-1241, September , 2018.
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C. Medrano-Berumen and M. I. Akbas. “MHopCAV: Multi-Hop Clustering for Autonomous Vehicle Networks”. In the Florida Conference on Recent Advances in Robotics, May, 2018.
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J. Rentrope, M. Midence, M. I. Akbas and R. Razdan. “Verification of Autonomous Vehicles Using Simulations with String Based Scenarios”. In the Institute of Industrial & Systems Engineers (IISE) Annual Conference and Expo, May, 2018.
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J. Rentrope and M. I. Akbas. “Spatially Adaptive Positioning for Molecular Geometry Inspired Aerial Networks”. In Proceedings of the ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet), pp. 1-8, November, 2017.
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L. G. Jaimes, K. Gagneja, M. I. Akbas, and I. J. Vergara-Laurens. “Future Stress, Forecasting Physiological Signals”. In IEEE Computing and Communication Workshop and Conference (IEEE CCWC), Las Vegas, January, 2017.
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J. Rentrope and M. I. Akbas. “Optimizing Molecular Geometry Based Positioning Applications for UAV Networks”. (Outstanding Undergraduate Oral Presentation Award for J. Rentrope) in Florida Academy of Sciences Annual Conference, March, 2017.
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M. I. Akbas, G. Solmaz and D. Turgut. “Molecular Geometry Inspired Positioning for Aerial Networks”. Elsevier Computer Networks Journal, 98 (0), pp. 72-88, 2016.
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C. Gunaratne, I. Garibay, M. I. Akbas and O. Ozmen. "The Need for Product Space Complexity for Agent-Based Computational Economics”. In Duke Forest Conference, November, 2016.
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C. Gunaratne, M. I. Akbas, I. Garibay and O. Ozmen. "Evaluation of Zika Vector Control Strategies Using Agent-Based Modeling”. In the Social Simulation Conference (SSC), September, 2016.
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C. Gunaratne, I. Garibay, M. I. Akbas and O. Ozmen. "GIS Derived Spatial Constraints for Agent-Based Modeling of Aedes Aegypti Population Dynamics”. In SwarmFest: Meeting on Agent-Based Modeling & Simulation, August, 2016.
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M. R. Brust, M. I. Akbas, and D. Turgut. “VBCA: A Virtual Forces Clustering Algorithm for Autonomous Aerial Drone Systems” Proceedings of the IEEE Systems Conference (IEEE SysCon), Orlando, Florida, April, 2016.
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E. Soyler, C. Gunaratne and M. I. Akbas. “Towards a Comprehensive Simulator for Public Speaking Anxiety Treatment” Advances in Applied Digital Human Modeling and Simulation: Proceedings of the International Conference on Digital Human Modeling and Simulation (AHFE), Orlando, Florida, July, 2016.
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M. I. Akbas, M. Erol-Kantarci and D. Turgut, “Localization for Wireless Sensor and Actor Networks with Meandering Mobility”. IEEE Transaction on Computers (TC) Journal, 64 (4), pp. 1015-1028, 2015.
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M. I. Akbas, M. R. Brust, C. H. C. Ribeiro and D. Turgut. “A Preferential Attachment Model for Primate Social Networks”. Elsevier Computer Networks Journal, 76 (0), pp. 207-226, 2015.
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G. Solmaz, M. I. Akbas and D. Turgut, “A Mobility Model of Theme Park Visitors”. IEEE Transaction on Mobile Computing (TMC) Journal, 14 (12), pp. 4406-4418, 2015.
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M. I. Akbas, P. Basavaraj, O. Ozmen, I. Garibay and M. Georgiopoulos "Curriculum GPS: An Adaptive Curriculum Generation and Planning System”. In the Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), December, 2015.
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M. I. Akbas, C. Gunaratne, O. Ozmen, I. Garibay and T. O'Neal "Role of Entrepreneurial Support for Networking in Innovation Ecosystems: An Agent Based Approach”. In the Proceedings of the Winter Simulation Conference (WSC), pp. 3112-3113, IEEE, December, 2015.
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I. Garibay, M. I. Akbas, C. Gunaratne, O. Ozmen and T. O'Neal "An Agent Based Approach to Study Incubation in Innovation Ecosystems”. In the Conference of the Computational Social Science Society of the Americas (CSSSA), October, 2015.
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M. I. Akbas, O. Ozmen and I. Garibay "Professional Network Value in Business Incubator Models”. In the Conference of the European Social Simulation Association (ESSA), September, 2015.
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K. Li, M. I. Akbas, D. Turgut, S. S. Kanhere and S. Jha, “Reliable Positioning with Hybrid Antenna Model for Aerial Wireless Sensor and Actor Networks”. In the Proceedings of IEEE Wireless Communications and Networking Conference (IEEE WCNC), pp. 2889-2904, April, 2014.
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M. I. Akbas and I. Garibay. “An Initial Agent Based Model for Innovation Ecosystems” In SwarmFest: Meeting on Agent-Based Modeling & Simulation, Notre Dame, Indiana, June, 2014.
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M. I. Akbas, "Routing, Localization and Positioning Protocols for Wireless Sensor and Actor Networks". Doctoral Dissertation, Ph.D. in Computer Engineering, University of Central Florida, December 2013.
Details BibTeX DownloadM. I. Akbas, D. Turgut. “Lightweight Routing with Dynamic Interests in Wireless Sensor and Actor Networks”. Elsevier Ad Hoc Networks, 11 (8), pp. 2313-2328, November, 2013.
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M. I. Akbas, R. N. Avula, M. A. Bassiouni, D. Turgut. “Social Network Generation and Friend Ranking Based on Mobile Phone Data”. In the Proceedings of IEEE International Conference on Communications (ICC), pp. 1444-1448, June 2013.
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M. R. Brust, M. I. Akbas, and D. Turgut. “Multi-hop Localization System for Environmental Monitoring in Wireless Sensor and Actor Networks” Wiley Journal of Concurrency and Computation: Practice and Experience, 25 (5), pp. 701-717, April, 2013.
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A. Attiah, M. I. Akbas, D. Turgut and M. Chatterjee "EE-MAC: Energy Efficient Sensor MAC Layer Protocol”. In the Proceedings of IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNET), IEEE Conference on Local Computer Networks (LCN), pp. 116-119, October, 2013.
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M. I. Akbas, G. Solmaz, D. Turgut. “Actor Positioning Based on Molecular Geometry in Aerial Sensor Networks” In the Proceedings of IEEE International Conference on Communications (ICC), pp. 508-512, June 2012.
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M. I. Akbas, M. R. Brust, and D. Turgut. “Social Network Generation and Role Determination Based on Smartphone Data”. In IEEE International Conference on Computer Communications (INFOCOM) Student Workshop, March 2012.
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G. Solmaz, M. I. Akbas, D. Turgut. “Modeling Visitor Movement in Theme Parks” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 36–43, October 2012.
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S. Kopman, M. I. Akbas, D. Turgut. “EpidemicSim: Epidemic Simulation System with Realistic Mobility” In the Proceedings of 8th IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNET), IEEE Conference on Local Computer Networks (LCN), pp. 659–665, October 2012.
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M. I. Akbas, M. R. Brust, C. H. C. Ribeiro and D. Turgut. “Deployment and Mobility for Animal Social Life Monitoring Based on Preferential Attachment” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 488–495, October 2011.
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M. I. Akbas and D. Turgut. “APAWSAN: Actor Positioning for Aerial Wireless Sensor and Actor Networks” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 567–574, October 2011.
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M. I. Akbas, M. R. Brust, C. H. C. Ribeiro and D. Turgut. “fAPEbook – Animal Social Life Monitoring with Wireless Sensor and Actor Networks”. In the Proceedings of the IEEE Global Communications Conference (GLOBECOM), pp. 1–5, December 2011.
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M. I. Akbas, M. R. Brust, and D. Turgut. “SOFROP: Self-Organizing and Fair Routing Protocol for Wireless Networks with Mobile Sensors and Stationary Actors” Elsevier Journal of Computer Communications, 34 (18), pp. 2135-2146, December 2011.
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M. I. Akbas and D. Turgut. “Lightweight Routing with QoS Support in Wireless Sensor and Actor Networks”. In the Proceedings of the IEEE Global Communications Conference (GLOBECOM), pp. 1–5, December 2010.
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M. I. Akbas, M. R. Brust, and D. Turgut. “SOFROP: Self-Organizing and Fair Routing Protocol for Wireless Networks with Mobile Sensors and Stationary Actors” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 456–463, October 2010.
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M. I. Akbas, M. R. Brust, and D. Turgut. “Local Positioning for Environmental Monitoring in Wireless Sensor and Actor Networks” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 806–813, October 2010.
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M. R. Brust, A. Leonel, M. I. Akbas, and C. H. C. Ribeiro “Information Dissemination based on Weak Ties in Wireless Communication Network” In International Workshop on Complex Networks (CompleNet), October 2010.
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M. Z. Ahmad, M. I. Akbas, D. Turgut, R. Palaniappan, B. Goldiez, and T. Dere. "Design and development of a simulation environment in OPNET using High Performance Computing". Spring Simulation Interoperability Workshop (SIW), pp. 426–434, March 2009.
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M. I. Akbas, "Evaluation of Core Stateless Guaranteed Fair Network Architecture". Thesis, Master of Science, Middle East Technical University, Advisor: Cüneyt F. Bazlamaçcı, December 2006.
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