Chinwe Ekenna

According to our database, Chinwe Ekenna authored at least 34 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Spiking Convolutional Vision Transformer.

Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Minimal Path Violation Problem with Application to Fault Tolerant Motion Planning of Manipulators.

Aakriti Upadhyay, Mukulika Ghosh, Chinwe Ekenna

IROS, 2023

Transformer Based Approach for Sample Generation in Motion Planning.

Tuan Tran, Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Coordinated Multi-Robot Exploration With Next-Best-View Planning for Scene Reconstruction.

Sourav Dutta, Katy Cable, Chinwe Ekenna

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Attention Based Approach for Molecular Property Prediction.

Tuan Tran, Chinwe Ekenna

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths.

Aakriti Upadhyay, Boris Goldfarb, Weifu Wang, Chinwe Ekenna

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

Incremental Path Planning Algorithm via Topological Mapping with Metric Gluing.

Aakriti Upadhyay, Boris Goldfarb, Chinwe Ekenna

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Biologically Inspired Variational Auto-Encoders for Adversarial Robustness.

Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna

Proceedings of the International Conference on Deep Learning, 2022

A geometric and topological analysis of the binding behavior of Intrinsically Disordered Proteins.

Aakriti Upadhyay, Chinwe Ekenna

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Molecular Descriptors Property Prediction via a Natural Language Processing Approach.

Tuan Tran, Chinwe Ekenna

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Topological Approach to Finding Coarsely Diverse Paths.

Aakriti Upadhyay, Boris Goldfarb, Chinwe Ekenna

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Identifying Valid Robot Configurations via a Deep Learning Approach.

Tuan Tran, Chinwe Ekenna

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Adaptive Speed Collision Avoidance For Dynamic Environments.

Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

A topology approach towards modeling activities and properties on a biomolecular surface.

Aakriti Upadhyay, Tuan Tran, Chinwe Ekenna

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Clustering and Analysis of Vulnerabilities Present in Different Robot Types.

Chinwe Ekenna, Bharvee Acharya

CoRR, 2020

Predictive Probability Path Planning Model For Dynamic Environments.

Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna

CoRR, 2020

Predicting Sample Collision with Neural Networks.

Tuan Tran, Jory Denny, Chinwe Ekenna

CoRR, 2020

Attentional Adversarial Variational Video Generation via Decomposing Motion and Content.

Sameerah Talafha, Banafsheh Rekabdar, Chinwe Ekenna, Christos Mousas

Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Biologically Inspired Sleep Algorithm for Variational Auto-Encoders.

Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Uncertainty Measured Markov Decision Process in Dynamic Environments.

Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Protein Binding Pose Prediction via Conditional Variational Autoencoding for Plasmodium Falciparum.

Tuan Tran, Chinwe Ekenna

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Best Practices of Successful Academic Research Labs [Women in Engineering].

Chinwe Ekenna, Lydia Tapia

IEEE Robotics Autom. Mag., 2019

Approximating Cfree Space Topology by Constructing Vietoris-Rips Complex.

Aakriti Upadhyay, Weifu Wang, Chinwe Ekenna

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Air-to-Ground Surveillance Using Predictive Pursuit.

Sourav Dutta, Chinwe Ekenna

Proceedings of the International Conference on Robotics and Automation, 2019

Predicting the Expression Profile for Plasmodium Falciparum Genes during the Blood Stage Life Cycle.

Tuan Tran, Tania Rajpersaud, Chinwe Ekenna

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

The Integration of Diversity with Robotics Start-Ups [Women in Engineering].

Chinwe Ekenna, Lydia Tapia

IEEE Robotics Autom. Mag., 2018

Editorial.

Nancy M. Amato, Chinwe Ekenna, Shawna L. Thomas, Nicholas Roy

Int. J. Robotics Res., 2018

Investigating heterogeneous planning spaces.

Aakriti Upadhyay, Chinwe Ekenna

Proceedings of the 2018 IEEE International Conference on Simulation, 2018

2017

Metabolic pathway and graph identification of new potential drug targets for Plasmodium Falciparum.

Tuan Tran, Chinwe Ekenna

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016).

Nancy M. Amato, Charles Anderson, Gregory S. Chirikjian, Hamidreza Chitsaz, Vishnu R. Desaraju, Chinwe Ekenna, Kris K. Hauser, Geoffrey A. Hollinger, Reza Iraji, Minwoo Lee, Qianli Ma, Seth McCammon, Nathan Michael, Shawna L. Thomas, Diane Uwacu, Yan Yan

CoRR, 2016

Adaptive local learning in sampling based motion planning for protein folding.

Chinwe Ekenna, Shawna L. Thomas, Nancy M. Amato

BMC Syst. Biol., 2016

2015

Improved roadmap connection via local learning for sampling based planners.

Chinwe Ekenna, Diane Uwacu, Shawna L. Thomas, Nancy M. Amato

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2013

Adaptive neighbor connection for PRMs: A natural fit for heterogeneous environments and parallelism.

Chinwe Ekenna, Sam Ade Jacobs, Shawna L. Thomas, Nancy M. Amato

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

A multi-directional rapidly exploring random graph (mRRG) for protein folding.

Shuvra Kanti Nath, Shawna L. Thomas, Chinwe Ekenna, Nancy M. Amato

Proceedings of the ACM International Conference on Bioinformatics, 2012