V. Mwaffo, D. Miller, and D.H. Costello III, “Advancing Autonomous Aerial Refueling with Deep-Neural-Network-Based Image Segmentation,” Journal of Aerospace Information Systems, vol. 22, no. 6, pp. 500–509, 2025.
D. Miller, S. McCormick, V. Mwaffo, and D. Costello, “Discriminating Similar Naval Vessels Using YOLOv8 Deep Neural Network,” IEEE Access, In press, 2024.
D. Miller, V. Mwaffo, and D. Costello, “A Deep Neural Network Approach for Drogue Detection Using Laboratory-Chroma Key Images,” IEEE Access, In press, 2024.
V. Mwaffo, “Formation Control and Collision Avoidance of Unmanned Water Surface Vehicles in Maritime Environments,” Journal of the Franklin Institute, vol. 361, no. 7, 106791, 2024.
V. Mwaffo, P. Frontera, M. Feemster, and S. Kragelund, “Maximum Likelihood Estimation of the Uncertain Dynamics of Small Catamaran Unmanned Surface Vehicles,” IEEE Transactions on Control Systems Technology, In press, 2024.
V. Mwaffo, D. Miller, and D. Costello, “Assessing the Predictive Performance of Two DNN Models: A Comparative Analysis to Support Reusing Training Weights for Autonomous Aerial Refueling Missions,” IEEE Access, vol. 11, pp. 92070–92079, 2023.
V. Mwaffo and F. Vernerey, “Analysis of Group of Fish Response to Startle Reaction,” Journal of Nonlinear Science, vol. 32, no. 6, 96, 2022.
V. Mwaffo, P. De Lellis, and S. Humbert, “Formation Control of Stochastic Multivehicle Systems,” IEEE Transactions on Control Systems Technology, vol. 29, no. 6, pp. 2505–2516, 2021.
V. Mwaffo, J. S. Curry, F. L. Iudice, and P. De Lellis, “Pause-and-Go Self-Balancing Formation Control of Autonomous Vehicles Using Vision and Ultrasound Sensors,” IEEE Transactions on Control Systems Technology, vol. 29, no. 6, pp. 2299–2311, 2020.
V. Mwaffo, J. Keshavan, T. Hedrick, and S. Humbert, “Detecting Intermittent Switching Leadership in Coupled Dynamical Systems,” Scientific Reports, vol. 8, 10338, 2018.
D. Neri, T. Ruberto, V. Mwaffo, T. Bartolini, and M. Porfiri, “Social Environment Modulates Anxiogenic Effects of Caffeine in Zebrafish,” Behavioural Pharmacology, In press, 2018.
V. Mwaffo, P. Zhang, S. R. Cruz, and M. Porfiri, “Zebrafish Swimming in the Flow: A Particle Image Velocimetry Study,” PeerJ, vol. 5, e4041, 2017.
V. Mwaffo, S. Butail, and M. Porfiri, “Analysis of Pairwise Interactions in a Maximum Likelihood Sense to Identify Leaders in a Group,” Frontiers in Robotics and AI, vol. 5, 35, 2017.
V. Mwaffo, V. Korneyeva, and M. Porfiri, “SimUfish: An Interactive Application to Teach K-12 Students About Zebrafish Behavior,” Zebrafish, vol. 14, no. 5, pp. 477–488, 2017.
S. Macrì, D. Neri, T. Ruberto, V. Mwaffo, S. Butail, and M. Porfiri, “Three-Dimensional Behavioral Scoring of Zebrafish Phenotype Unveils Biological Phenomena Hidden by Two-Dimensional Analyses,” Scientific Reports, vol. 7, 1962, 2017.
P. Phamduy, M. Vazquez, C. Kim, V. Mwaffo, A. Rizzo, and M. Porfiri, “Design and Characterization of a Miniature Free-Swimming Robotic Fish for Animal-Robot Interactions,” International Journal of Intelligent Robotics and Applications, vol. 1, pp. 1–15, 2017.
V. Mwaffo, S. Butail, and M. Porfiri, “In-Silico Experiments of Zebrafish Behavior: Modeling Swimming in Three Dimensions,” Scientific Reports, vol. 7, 39877, 2016.
T. Ruberto, V. Mwaffo, S. Singh, D. Neri, and M. Porfiri, “Zebrafish Response to a Robotic Replica in Three Dimensions,” Royal Society Open Science, vol. 3, no. 10, 160505, 2016.
T. Bartolini, V. Mwaffo, A. Showler, S. Macrì, S. Butail, and M. Porfiri, “Zebrafish Response to 3D Printed Shoals of Conspecifics: The Effect of Body Size,” Bioinspiration & Biomimetics, vol. 11, no. 2, 026003, 2016.
V. Mwaffo, R. P. Anderson, and M. Porfiri, “Collective Dynamics in the Vicsek and Vectorial Network Models Beyond Uniform Additive Noise,” Journal of Nonlinear Science, vol. 25, no. 5, pp. 1–24, 2015.
S. Butail, V. Mwaffo, and M. Porfiri, “A Model-Free Information-Theoretic Approach to Infer Leadership in Pairs of Zebrafish,” Physical Review E, vol. 93, no. 4, 042411, 2015.
V. Mwaffo and M. Porfiri, “Turning Rate Dynamics of Zebrafish Exposed to Ethanol,” International Journal of Bifurcation and Chaos, vol. 25, no. 7, 1540006, 2015.
T. Bartolini, V. Mwaffo, S. Butail, and M. Porfiri, “Effect of Acute Ethanol Administration on Zebrafish Tail Beat Motion,” Alcohol, vol. 49, no. 7, pp. 721–725, 2015.
V. Mwaffo and M. Porfiri, “Linear Analysis of the Vectorial Network Model in the Presence of Leaders,” Automatica, vol. 58, pp. 160–166, 2015.
V. Mwaffo, S. Butail, M. di Bernardo, and M. Porfiri, “Measuring Zebrafish Turning Rate,” Zebrafish, vol. 12, no. 3, pp. 250–254, 2015.
V. Mwaffo, R. P. Anderson, S. Butail, and M. Porfiri, “A Jump Persistent Turning Walker to Model Zebrafish Locomotion,” Journal of the Royal Society Interface, vol. 12, no. 102, 20140884, 2015.
F. Ladu, V. Mwaffo, J. Li, S. Macrì, and M. Porfiri, “Acute Caffeine Administration Affects Zebrafish Response to a Robotic Stimulus,” Behavioral Brain Research, vol. 289, pp. 48–54, 2015.
V. Mwaffo, P. De Lellis, and M. Porfiri, “Criteria for Stochastic Pinning Control of Networks of Chaotic Maps,” Chaos, vol. 24, no. 1, 013101, 2014.
S.D. Miller, V. Mwaffo, and D.H. Costello III, “Deep Learning-Based Relative Bearing Estimation Between Naval Surface Vessels and UAS in Challenging Maritime Environments,” ICUAS 2025, pp. 742–748.
L. Wagner, J. Andersen, D.H. Costello, V. Mwaffo, “Optimizing Parameters for Hybrid DNN-UKF State Estimation in Autonomous Air Refueling,” ICUAS 2025, pp. 757–762.
R. Lowe, A. Maheshwari, V. Mwaffo, M.D.M. Kutzer, L. DeVries, D. Costello, “Precise Ranging to an Aerial Refueling Coupler Using a DNN and a Monocular Camera System,” ICUAS 2025, pp. 579–586.
S. Miller, A. Schug, V. Mwaffo, D.H. Costello, “Determining Relative Position Between a UAV and a Naval Surface Vessel With a DNN,” AIAA SCITECH 2025, Paper 0193.
L. Wagner, D.H. Costello, V. Mwaffo, “Enhancing Autonomous Aerial Refueling with a Hybrid Deep Neural Network and Unscented Kalman Filter Predictive Model,” AIAA SCITECH 2025, Paper 1930.
A. Maheshwari, R. Lowe, V. Mwaffo, D.M. Clement, D.H. Costello, “Determining Relative Positioning for Aerial Refueling Through DNN Bounding Box Geometry,” AIAA SCITECH 2025, Paper 2162.
V. Mwaffo, “Cooperative Control of Teams of Catamaran Surface Vessels with Noisy Dynamics,” 15th IFAC CAMS, Blacksburg, VA, Sep. 3–6.
V. Mwaffo, D.H. Costello, D. Miller, “Image Segmentation Using Deep Neural Network for the Autonomous Aerial Refueling Mission,” AIAA SCITECH 2024, Orlando, FL, Jan. 8–12.
C. Civetta, D. Miller, V. Mwaffo, D.H. Costello, “Environmental Effects on DNN Performance During the Autonomous Refueling Task,” AIAA SCITECH 2024.
D. Miller, V. Mwaffo, D.H. Costello, “Evaluating a DNN Trained on a Laboratory-Generated Dataset Against Actual Flight Test Data,” AIAA SCITECH 2024.
S. McCormick, V. Mwaffo, D.H. Costello, “DNN-Based Visual Identification of Naval Surface Vessels,” AIAA SCITECH 2024.
E. Adams, V. Mwaffo, D.H. Costello, “Can a DNN Trained on a Fabricated Model Be Used to Identify an Actual Naval Vessel?,” AIAA SCITECH 2024.
V. Mwaffo, “Heterogeneous Group of Fish Response to Escape Reaction,” EAI BICT 2023, Okinawa, Japan, Apr. 11–12.
D.H. Costello, V. Mwaffo, D. Miller, “Transference of Training for a DNN to Complete the Aerial Refueling Task,” AIAA SCITECH 2023, National Harbor, MD, Jan. 23–27.
D. Miller, V. Mwaffo, D.H. Costello, “Comparing DNN Performance to Justify Using Transference of Training for the Autonomous Aerial Refueling Task,” ICUAS 2023, Warsaw, Poland, Jun. 6–9.
V. Mwaffo, J.S. Curry, F.L. Iudice, P. De Lellis, “Experiments on Pause-and-Go State Estimation and Control with Uncertain Sensor Feedback,” EAI BICT 2021, Osaka, Japan.
V. Mwaffo, P. De Lellis, S. Humbert, “Formation Control of Non-Holonomic Mobile Robots on Slippery Surfaces,” ASME DSCC 2020, Virtual.
V. Mwaffo, F. Vernerey, “Modeling and Analysis of Startle Reaction Effects on Group Coordination,” ASME DSCC 2020, Virtual.
V. Mwaffo, J. Keshavan, T. Hedrick, S. Humbert, “Dissecting Causal Influence in Complex Dynamical Systems,” IEEE COMPENG 2018.
V. Mwaffo, S. Butail, M. Porfiri, “Inferring Leadership in Zebrafish Pairs,” ACC 2017, Seattle, WA.
V. Mwaffo, “A 3D Model of Zebrafish Swimming,” ASME DSCC 2016, Washington, DC.
T. Bartolini, V. Mwaffo, S. Butail, M. Porfiri, “Zebrafish Behavior Altered by Robotic Fish and Nicotine,” Bioinspiration & Robotics Conference 2015.