Overview
Computational methods underpin key activities in fields such as computational biology, materials science, and quantum physics, enabling advanced simulation, optimization, and data analysis for complex research problems. Efficient frameworks and representation models are essential for knowledge management, with graph-based and semantic models, such as the Constructor Knowledge Model, providing structured knowledge organization and cross-domain inference. Integrating diverse computational approaches, including those from quantum computing, allows refinement of core algorithms and knowledge models, ensuring they address real scientific challenges. Optimizing the use of local and distributed computational resources is necessary for supporting the training and deployment of tailored AI models within scientific workflows.
Our Projects
Explore our innovative research work
Intelligent Transport Systems
Collaborative Robotics – Force Localization via Artificial Skin Sensors
Robotic Tool Kit (RTK) for milling based on industrial robotic arm
FastTrack SSB: AI Screening for Next-Gen Electrolytes
Accelerating Advanced Device Design with Generative Optimization
Next-Gen Material Discovery with Mirage Atom Diffusion
Publications
Discover a selection of our key publications that highlight our commitment to advancing education through research.
- Pérez-Nebra, A. R., Fischer, R., Torres, C. V., & Boehnke, K. (2024). Adaptation of a cultural measure in Brazil—Developing a short version of the Individualism–Collectivism Vertical–Horizontal Scale. Psychological Test Adaptation and Development, 5 (1), 12–25. (LINK)
- Schemmerling, M., Friehs, M.-T., Kotzur, P. F., Bastias, F., De Keersmaecker, J., Macedo, F. G., Neto, F., Neto, J., Pietraszkiewicz, A., Schmid, K., Sczesny, S., Torres, C., & Boehnke, K. (2023). Culturally emic protagonists using the Stereotype Content Model: A scale development and adaption process across four languages and eight countries. Psychological Test Adaptation and Development, 4(1), online first. (LINK)
- Neter, E., & Boehnke, K. (2023). War in Europe, again? Adversity, coping, and resilience. Applied Psychology. Health and Well-Being, 10.1111/aphw.12515. Advance online publication.(LINK) {Cite Score 9.3}
- Abu-Rayya, H. M., Henschel, N. T., Amin, A., & Boehnke, K. (2023). Examining the circumplex value structure and the person-environment value congruence hypothesis in Middle Eastern and North African (MENA) countries. Current Research in Ecological and Social Psychology, 100176, 7. (LINK) {Cite Score: 1.2}
- Ghasemi, A., Hall, S. S., Shahi, H., Meyers, L. S., Karami, J., Mehrabani, A. R., Rahandaz, Z. & Boehnke, K. (2023). The compassionate type? Personality, self-compassion, and postdivorce adjustment among Iranian women. Family Relations – Interdisciplinary Journal of Applied Family Science, 72 (5), 3084-3099. (LINK)
- Foroughi, A., Henschel, N.T., Shahi, H., Hall, S.S., Meyers, L.S., Sadeghi, K., Parvizifard, A., Boehnke, K., & Brand, S. (2023). Keeping things positive: Affect as a mediator between physical activity and psychological functioning. European Journal of Investigation in Health, Psychology, and Education, 13, 2428–2459. (LINK)
Research Team
Meet Our PIs
Discover our teams diverse expertise and how their qualifications drive innovative solutions in education and research.
Prof. David S. Rosenblum
Member, Constructor Group Strategic Advisory Board; Chair of the Department of Computer Science, George Mason University.
Prof. David S. Rosenblum
Member, Constructor Group Strategic Advisory Board; Chair of the Department of Computer Science, George Mason University.
Prof. David S. Rosenblum
Member, Constructor Group Strategic Advisory Board; Chair of the Department of Computer Science, George Mason University.
Prof. David S. Rosenblum
Member, Constructor Group Strategic Advisory Board; Chair of the Department of Computer Science, George Mason University.