Intent upon giving as much as I have gotten, here are my contributions, given freely and cheerfully.

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Evolving Drafts / Submitted / Published / Technical Reports.
Premier Robotics and Automation Society, Algorithmic Foundations of Robotics, ASME, and Medical Physics publications (WAFR, IROS, JMR, NIPS, PhysMed, and ICRA) are highly selective venues for archival papers, similar to selective IEEE journals in visibility and strong scientific/engineering communications.

Published Works

A Real-Time Patient Head Motion Correction Mechanism for MRI-Linac Systems.
Olalekan Ogunmolu, and Rodney Wiersma.
J.R. Cameron and J.R. Cunningham Young Investigator Symposium, AAPM/COMP Meeting. July 2020.
A Motion-Planner for Robot Head Motion Correction in Stereotactic Radiosurgery.
Olalekan Ogunmolu, Xinmin Liu, and Rodney Wiersma.
2020 AAPM/COMP Meeting. July 2020.
Mechanism and Model of a Soft Robot for Head Stabilization in Cancer Radiation Therapy..
Olalekan Ogunmolu, Xinmin Liu, Nick Gans, and Rodney Wiersma.
IEEE International Conference on Robotics and Automation (ICRA), Paris, France. May 2020.
A Fast Deep Learning Approach for Beam Orientation Selection in Cancer Patients.
Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, and Dan Nguyen.
The International Journal of Medical Physics Research and Practice. December, 2019.
Deep BOO! Automating Beam Orientation Selection in Intensity Modulated Radiation Therapy.
Olalekan Ogunmolu, Michael Folkerts, Dan Nguyen, and Steve Jiang.
Algorithm Foundations of Robotics, XIII. Published in Springer's Proceedings in Advanced Robotics (SPAR) Book. 2019.
Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks.
Olalekan Ogunmolu, Nick Gans, and Tyler Summers.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid. 2018.
Soft-NeuroAdapt: A 3-DOF Neuro-Adaptive Pose Correction System For Frameless and Maskless Cancer Radiotherapy.
Olalekan Ogunmolu, Adwait Kulkarn, Yonas Tadesse, Xuejun Gu, Steve Jiang, and Nick Gans.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, BC. 2017.
Automating Beam Orientation Optimization for IMRT Treatment Planning: A Deep Reinforcement Learning Approach..
Olalekan Ogunmolu, Dan Nguyen, Chenyang Shen, Xun Jia, Weiguo Lu, and Nick Gans,
60th Annual Meeting of the American Association of Physicists in Medicine (AAPM), Nashville, TN. July 2018.
A Multi-DOF Soft Robot Mechanism for Patient Motion Correction and Beam Orientation Selection in Cancer Radiation Therapy.
Olalekan Ogunmolu
PhD Thesis. The University of Texas at Dallas; UT Southwestern Medical Center. May, 2019.
Deep Learning Neural Network for Beam Orientation Optimization.
Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, and Dan Nguyen.
International Conference on the use of Computers in Radiation Therapy (ICCR) XVI. Montreal, CA. June 2019.
Design and Development of A Soft Robot for Head and Neck Cancer Radiotherapy.
Yara Almubarak, Joshi Aniket, Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, Nicholas Gans, and Yonas Tadesse
SPIE: Smart Structures + Nondestructive Evaluation. Denver, CO, U.S.A. March 2018.
Vision-based Control of a Soft Robot for Maskless Cancer Radiotherapy.
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans.
IEEE Conference on Automation Science and Engineering (CASE). Fort-Worth, Texas, August 2016.
A Real-Time Soft-Robotic Patient Positioning System for Maskless Head-and-Neck Cancer Radiotherapy.
Olalekan P. Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans.
IEEE Conference on Automation Science and Engineering (CASE). Gothenburg, Sweden, August 2015.
An Image-Guided Soft Robotic Patient Positioning System for Maskless Head And Neck Cancer Radiotherapy: A Proof of Concept Study.
Olalekan P. Ogunmolu, Nick Gans, Steve Jiang, and Xuejun Gu
Medical Physics, The International Journal of Medical Physics Research and Practice.. Annaheim, CA, August 2015.

Technical Reports

Robust Zero-Sum Deep Reinforcement Learning.
Olalekan Ogunmolu, Nick Gans, and Tyler Summers. arXiv. 2017.
Nonlinear Systems Identification Using Deep Dynamic Neural Networks.
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang, and Nick Gans. arXiv. 2016.