September 2017
Name: Matthew Holden
Department: Laboratory for Percutaneous Surgery
School: Queen’s University
Project: Competence Assessment and Automated Feedback for Ultrasound-Guided Intervention Training
Research Advisor: Dr. Gabor Fichtinger
Mr. Holden received a BS in Applied Mathematics and Physics from the University of Western Ontario (London, Canada) in 2012 and a MS in Computing from Queen's University (Kingston, Canada) in 2014. He is currently a PhD student in Computing in the Laboratory for Percutaneous Surgery at Queen's University (Kingston, Canada). His primary research interest is in computer-assisted training for medical interventions. In particular, he works on automated feedback and technical skills assessment methods for simulation-based medical training, with particular focus on ultrasound-guided needle interventions. He is one of the primary contributors to the Perk Tutor platform for image-guided interventions training.
Name: John Karasinski
Department: Mechanical and Aerospace Engineering
School: University of California, Davis
Project: Evaluating Augmented Reality for Space Telerobotics Training
Research Advisor: Dr. Stephen Robinson
Mr. Karasinski received a BS in Physics from the University of California, Santa Cruz in 2012, where he focused on astroparticle physics. From the summer of 2010 until his graduation, he worked with the Fermi Gamma-ray Space Telescope to study very high energy photons. He has worked as a software engineer at two startups in the Bay Area, developing systems to provide science curriculum to K-12 students. In 2016, he received a MS in the department of Mechanical and Aerospace Engineering at the University of California, Davis. He currently researches modelling and simulation for spacecraft attitude and controls and human-in-the-loop performance.
Name: Ahmad Q. Momani
Department: Mechanical Engineering
School: Binghamton University
Project: The Development of a Novel Motion Cueing Algorithm for Flight Training Simulators Employing Objective Metrics for Evaluation
Research Advisor: Professor Frank Cardulloa
Mr. Momani received a BS and MS in Mechanical Engineering from Jordan University of Science and Technology in 2006 and 2011, respectively. He is currently a PhD candidate at the Man-Machine Systems Lab within the Mechanical Engineering department at Binghamton University. His current research interests include man machine systems, motion cuing algorithms, human supervisory control, and human inspired robotics.
Name: Robert Nickl
Department: Biomedical Engineering
School: Johns Hopkins University
Project: A Hard-Real-Time Juggling Simulator to Shape Human Sensitivity to Cues and Coordination of Muscles
Research Advisor: Dr. Noah Cowan
Mr. Nickl is a PhD student in the Department of Biomedical Engineering at Johns Hopkins University. He received a BS in Electrical Engineering, a BA in German (both summa cum laude), and a minor in Bioengineering from the University of Pittsburgh.
His PhD research studies how sensory information (vision, touch, and sound) influences the human brain's control of movement, and how virtual reality sensory feedback can be used to influence muscular coordination. For his research, he developed a hard-real-time computer simulator capable of recording movements and perturbing sensory cues at extremely high precision. Prior to his current work, he was co-author of a study of brain electrophysiological recovery from cardiac arrest, and an education study of long-term outcomes from a high school summer science program.
Outside of the lab, he organized several seminars and university-wide events as Co-Director of Professional Development and Careers of BME EDGE, an innovative PhD-student-led professional development organization at Johns Hopkins. He also has extensive mentoring experience; undergraduates he has supervised include an Honorable Mention for a national graduate fellowship, and a presenting author at the world’s leading neuroscience conference. Robert is a past recipient of the National Science Foundation Graduate Research Fellowship.
If you would like to find out more about the Link Modeling, Simulation and Training Fellows and projects that have been funded in the field of Modeling, Simulation and Training by the Link Foundation, please visit the webpage at http://www.linksim.org/.