Education
- Ph.D., Georgia Institute of Technology, 2004
- B.A./M.A., Oxford University, 1998
- B.S., West Virginia University, 1996
Teaching Interests
Professor Seepersad’s teaching focuses on core mechanical engineering topics at undergraduate and graduate levels, including engineering design, design optimization, additive manufacturing, and prototyping. Her instruction emphasizes hands-on learning and integration of emerging technologies to prepare students for innovative problem-solving. Professor Seepersad actively involves students in research projects to enhance experiential understanding and support their professional development within mechanical engineering disciplines.
Research Interests
Professor Seepersad’s research centers on design for additive manufacturing, simulation-based design of materials and structures, and process innovation in additive manufacturing. Her work investigates additive manufacturing processes, exploring material behavior, process innovation, and the integration of multifunctional capabilities into the design process. Research efforts aim to advance sustainable and high-performance engineering applications while fostering collaboration between experimental and computational methods to deepen our capabilities for co-designing complex parts and their manufacturing processes.
Recent Publications
- T Pan, B Yu, C Seepersad, Z Ounaies, M Frecker, A Systematic Design Approach for Magneto-Active Elastomers with Bayesian Network Classifiers Considering Manufacturing Variability, Journal of Mechanical Design, 1-35, 2026.
- K Goucher-Lambert, A Layton, J Menold, M Moghaddam, Z Sha, ..., The Future of Design: Five Key Snapshots, Journal of Mechanical Design 148 (3), 030201, 2026.
- H Song, A Sohaib, J Allison, C Tuck, R Hague, J Pearce, J Beaman, ..., Enhancing heating uniformity of radio frequency additive manufacturing via functional grading, Journal of Manufacturing Processes 151, 142-159, 2025.
- T Pan, T Greenwood, C Seepersad, Z Ounaies, M Frecker, Design and optimization of magneto-active elastomer (MAE) unimorphs using genetic algorithms, Smart Materials and Structures 34 (10), 105026, 2025.
- MH Zamani, C Bergen, K Brownstead, H Song, C Seepersad, ..., Quantitative assessment framework of print quality in direct ink writing of magnetoactive elastomers using image processing: effects of rheology and processing parameters, Journal of Manufacturing Processes 156, 266-280, 2025.