I'm available for independent contracting and consulting. If you're interested, please contact me at firstname.lastname@example.org to discuss.
Dr. Mohamad Omar Nachawati
My current research interests include:
Provably and empirically efficient grey-box optimization, uncertainty quantification and training algorithms that combine techniques from mathematical programming, numerical analysis, machine learning and artificial intelligence
Languages, ontologies, knowledge graphs and middleware for large-scale semantic integration and decision guidance analytics in the domain of digital engineering and smart manufacturing
A complete record of publications is maintained at my Google Scholar profile.
Nachawati, M.O. and Brodsky, A., 2021. Mixed-Integer Constrained Grey-Box Optimization based on Dynamic Surrogate Models and Approximated Interval Analysis. In ICORES (pp. 99-112).
Nachawati, M.O., Bullegas, G., Vasilyev, A., Gregory, J., Pop, A., Elaasar, M. and Asghar, A., 2022. Towards an Open Platform for Democratized Model-Based Design and Engineering of Cyber-Physical Systems. In Modelica Conferences (pp. 102-114).
Brodsky, A., Nachawati, M.O., Krishnamoorthy, M., Bernstein, W.Z. and Menascé, D.A., 2019. Factory optima: a web-based system for composition and analysis of manufacturing service networks based on a reusable model repository. International journal of computer integrated manufacturing, 32(3), pp.206-224.
Nachawati, M.O., Brodsky, A. and Luo, J., 2017. Unity decision guidance management system: Analytics engine and reusable model repository. In International Conference on Enterprise Information Systems (Vol. 2, pp. 312-323). SCITEPRESS.