Dr. Thomas Klemas

Dr. Thomas Klemas is a Co-Director of the Decision Engineering Analysis Lab, an International Academy, Research and Industry Association (IARIA) Fellow, and the Principal Engineer at SimSpace. He spearheads advanced projects, leveraging fundamental principles from data science, data analytics, and machine learning to enhance cyber applications, and leads prototyping research for cyber security assessment of organizations, teams, and individuals, as well as characterization of virtual cyber ranges and events by defining novel constructs for defensive complexity, range model affinity and fidelity, and attack sophistication.  Additionally, he is a senior advisor to the Director of the Cyber Operations Group, including approximately 1000 personnel and critical innovation development capabilities.  He leads a collaboration with the Massachusetts Institute of Technology (MIT) that is designing policy proposals to accelerate cyber acquisition.

Dr. Thomas Klemas studied mathematics and electrical engineering at MIT, earning four degrees and an outstanding Computer Science thesis award. Thomas’ doctoral research at the Research Laboratory for Electronics (RLE) focused on accelerated solvers and model order reduction approaches for computational electromagnetic modeling of complex structures.  Subsequently, at MIT Lincoln Laboratory,  he pursued applied mathematics, numerical methods, computational modeling and simulation, physics, engineering, and sensor control and signal processing and led a multi-division team to develop a real-time open system architecture to enable easy upgrades of radars, rapid prototyping of new capabilities, and realization of scalable, distributable, flexible, pluggable, re-usable, net-centric sensor systems, including embedded, signal processing, and control subsystems.

Dr. Klemas led the Computational Modeling Collaboration at MIT RLE to invent new techniques for high fidelity computational modeling and simulation of Electromagnetics and other physics including scaling these approaches for high performance computing supercomputers. This effort won 2 MIT Lincoln Laboratory Campus Collaboration Awards. Additionally, he has served as a MIT UPOP mentor. Thomas served as technical advisor for a large Sensors research laboratory, served as the interim technical director of the Maui High Performance Computing Center,  conducted technology assessment for the Assistant Secretary of Defense for Research and Engineering (ASDR&E), researched numerical methods as part of the High Performance Computer Modernization Program Office CREATE RF development team, and was a senior advisor to the Director of the Office of Scientific Research.

Dr. Klemas initially attended the 2014 IARIA Data Analytics conference on behalf of ASDR&E and returned in 2015 as a Senior Fellow of the Sensemaking-PACOM Fellowship. Thomas has presented research on community detection algorithms, machine learning,  and  a technology roadmap for resilience and sustainability, winning multiple Best Paper recognitions.  Thomas has served on the technical committee, delivered a keynote, chaired sessions, served on or led multiple panels (data analytics for addressing global health challenges, Big Data to drive decision support engines for Smart Cities, Sustainment, and Resilience, and Big Data value to Corporate Performance).   In 2018, he returns as Co-Director, Decision Engineering Analysis Lab.