Dr. Mohammad Obeid | Virtual Reality | Best Researcher Award

Associate Professor, Shenandoah University, United StatesΒ πŸ†

Dr. Mohammad F. Obeid is an esteemed academic and researcher specializing in Modeling, Simulation, and Virtual Reality (VR) applications. He currently serves as an Associate Professor and Director of the VR Design Program at Shenandoah University, where he also co-directs the Shenandoah Center for Immersive Learning (SCiL). With a strong background in engineering, simulation, and immersive technology, Dr. Obeid has contributed significantly to advancing VR-based education and medical simulation. His extensive academic journey includes roles at Old Dominion University, where he was involved in research and teaching in modeling, visualization, and simulation engineering.

Profile

Google Scholar

Education πŸŽ“

Dr. Obeid earned his Ph.D. in Modeling and Simulation Engineering from Old Dominion University in 2017, where his dissertation focused on developing a hybrid virtual/physical Nuss Procedure surgical trainer. Prior to this, he obtained an M.Sc. in Modeling and Simulation Engineering (2013) and a B.Sc. in Industrial Engineering (2011) from the German-Jordanian University. His research during his graduate studies explored real-time haptic-interactive virtual environments and lean manufacturing principles in pharmaceuticals.

Experience πŸ‘¨β€πŸ«

Dr. Obeid has extensive experience in academia and research, having served as a lecturer, research assistant, and professor in modeling and simulation. At Shenandoah University, he played a crucial role in founding the Bachelor of Science in Virtual Reality Design and the Simulation Engineering Track. His previous roles include Co-Investigator at Old Dominion University Research Foundation, and he contributed to cutting-edge research in synthetic environments and medical simulations. He has also designed and taught courses in immersive technology, AR/VR development, and simulation engineering.

Research Interests πŸ”¬

Dr. Obeid’s research focuses on virtual reality, simulation-based training, immersive learning, and medical simulation technologies. His work aims to enhance nursing education, surgical training, and human-computer interaction through VR-based tools. He is also interested in multimodal simulation, synthetic environments, and AI-driven immersive learning platforms, contributing significantly to advancing educational and industrial simulation applications.

Awards and Honors πŸ…

Dr. Mohammad F. Obeid has been recognized for his outstanding contributions to teaching, research, and simulation technology with numerous prestigious awards. In 2021, he received the Faculty Innovative Teaching with Technology Award from Shenandoah University for his advancements in immersive learning. His exceptional research efforts earned him the Outstanding Contribution Recognition Award from Old Dominion University in 2018. Since 2017, he has been listed in Marquis Who’s Who in America, highlighting his influence in the field. Additionally, he was honored with the Best Paper Award at the Spring Simulation Multi-Conference (2017) and was a finalist at MODSIM World 2017 for the Modeling and Simulation Challenge. Earlier in his career, he was awarded the Graduate Student Travel Award (2014) from Old Dominion University, further acknowledging his dedication to academic excellence.

Publications πŸ“š

NursingXR: Advancing Nursing Education Through Virtual Reality-Based Training (2025) – Applied Sciences
πŸ”— DOI: 10.3390/app15062949

Analyzing and Designing the Utility of Virtual Reality for Nursing Fundamentals Lab (2024) – International Journal of Online and Biomedical Engineering (iJOE)
πŸ”— DOI: 10.3991/ijoe.v20i16.51721

Development and Validation of a Hybrid Nuss Procedure Surgical Simulator and Trainer (2021) – IEEE Transactions on Biomedical Engineering
πŸ”— [DOI: TBD]

Use of an Optical Scanning Device to Monitor the Progress of Noninvasive Treatments for Chest Wall Deformity (2018) – Korean Journal of Thoracic and Cardiovascular Surgery
πŸ”— [DOI: TBD]

SEOS: A Non-CT-Reliant Index for Evaluating Pectus Excavatum (2018) – Journal of Laparoendoscopic & Advanced Surgical Techniques
πŸ”— [DOI: TBD]

External Severity Indices for Quantifying Pectus Excavatum Validated Using Pre- and Postoperative CT Analysis (2016) – Journal of Pediatric Surgical Specialties
πŸ”— [DOI: TBD]

Simulation of the Critical Steps of the Nuss Procedure (2014) – Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
πŸ”— [DOI: TBD]

Conclusion βœ…

Dr. Mohammad F. Obeid is a highly qualified candidate for the Best Researcher Award, with an impressive research portfolio, academic leadership, and recognized achievements in Modeling, Simulation, and Virtual Reality applications. Strengthening global collaborations, industry engagement, and grant leadership could further solidify his standing as a top-tier researcher.

Mohammad Obeid | Virtual Reality | Best Researcher Award

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