The George Washington University School of Engineering and Applied Sciences Online Degree Programs

Background

Shahram Sarkani, Ph.D., P.E., is a Professor of Engineering Management and Systems Engineering, and Faculty Adviser and Academic Director of Online Engineering Programs (since 2001), at the George Washington University. Professor Sarkani joined the GW faculty in 1986. His previous administrative appointments include chair of the Civil, Mechanical, and Environmental Engineering Department (1994-1997) and Interim Associate Dean for Research, School of Engineering and Applied Science (1997-2001).

In over 500 technical publications and presentations, his research in systems engineering, systems analysis, and applied enterprise systems engineering has application to risk analysis, structural safety, and reliability. He has conducted sponsored research with such organizations as NASA, NIST, NSF, U.S. AID, and the U.S. Departments of Interior, Navy, and Transportation.

Recent Awards

• Engineering Management Journal's Ted Eschenbach Best EMJ Journal Paper Award, 2010 (with Merritt & Mazzuchi)
• Inducted into the Civil and Environmental Engineering Hall of Distinction, Louisiana State University, 2010
• Walter L. Huber Civil Engineering Research Prize, American Society of Civil Engineers, 1999

Professor Sarkani holds the Ph.D. in Civil Engineering from Rice University, and B.S. and M.S. degrees in Civil Engineering from Louisiana State University. He is a Registered Professional Engineer in Virginia.

Background

Dr. Thomas A. Mazzuchi holds a B.A. (1978) in Mathematics from Gettysburg College, Gettysburg, Pennsylvania; and the M.S. (1979) and D.Sc. (1982), both in Operations Research, from The George Washington University, Washington, D.C. Currently he is Professor of Engineering Management and Systems Engineering, and Chair of the Department of Engineering Management and Systems Engineering, in the School of Engineering and Applied Science at GW. Formerly, he served as Chair of the Department of Operations Research, and as Interim Dean of the School of Engineering and Applied Science. Dr. Mazzuchi has been engaged in consulting and research in the areas of reliability and risk analysis, and systems engineering techniques, for over thirty years. He served for two and a half years as Research Mathematician at the international operations and process research laboratory of the Royal Dutch Shell Company. While at Shell, Dr. Mazzuchi engaged in reliability and risk analysis of large processing systems, maintenance optimization of off-shore platforms, and quality control procedures at large-scale chemical plants. In his academic career, he has held research contracts in development of testing procedures for both the U.S. Air Force and the U.S. Army; in spares provisioning modeling with the U. S. Postal Service; in mission assurance with NASA; and in maritime safety and risk assessment with the Port Authority of New Orleans, the Washington Office of Marine Safety, the Washington State Department of Transportation, and the San Francisco Bay Area Transit Authority. He is an elected member of the International Statistics Institute.

Sample Publications

• Eggstaff, J. W., T. A. Mazzuchi, and S. Sarkani. 2014. “The Effect of the Number of Seed Variables on the Performance of Cooke’s Classical Model.” Reliability Engineering and Systems Safety 121 (1): 72-82.
• Eggstaff, J. W., T. A. Mazzuchi, and S. Sarkani. 2014. “The Development of Progress Plans Using a Performance-Based Expert Judgment Model to Assess Technical Performance and Risk.” Systems Engineering , ISSN 1098-1241, 2014, Volume 17, Issue 4, pp. 375 - 391
• Grenn, Michael W; Sarkani, Shahram; Mazzuchi, Thomas. "The Requirements Entropy Framework in Systems Engineering” Systems Engineering, ISSN 1098-1241, 2014, Volume 17, Issue 4, pp. 462 – 478.
• Katz, Daniel R; Sarkani, Shahram; Mazzuchi, Thomas; Conrow, Edmund H. 2014. The relationship of technology and design maturity to DoD weapon system cost change and schedule change during engineering and manufacturing development. Systems Engineering, ISSN 1098-1241, 2014
• LaBarge, R., T. A. Mazzuchi, and S. Sarkani. 2014. “An Automated System for Rapid and Secure Device Sanitization.” Computers & Security 42C (2014): 77-91. Published online 19 February 2014, doi: 10.1016/j.cose.2014.01.008.
• Moreland, J. D., S. Sarkani, and T. A. Mazzuchi. 2014. “Service-Oriented Architecture (SOA): Instantiation within a Hard Real-Time, Deterministic Combat System Environment.” Systems Engineering. ISSN 1098-1241, 2014, Volume 17, Issue 3, pp. 264 – 277
• Ryan, J., S. Sarkani, and T. A. Mazzuchi. 2014. “Leveraging Variability Modeling Techniques for Architecture Trade Studies and Analysis.” Systems Engineering 17 (1): 10-25. Published online 20 August 2013, doi: 10.1002/sys.21274.
• Byrne, J. C., S. Sarkani, and T. A. Mazzuchi. 2014. “System Architecture for Functional Characterization of Devices to Mitigate Hearing Impairment.” Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, ISSN 1548-5129, 07/2014, Volume 11, Issue 3, pp. 233 – 243
• Dever, J., T. A. Mazzuchi, S. Sarkani, M. J. Mihalcin, and A. Loewenthal. 2014. “The Applicability of Statistical Process Control to Systems Involving People Processes and Business Rhythms.” Systems Engineering 17 (2) (Summer 2014): 193-203. Published online 20 November 2013, doi: 10.1002/sys.21262.
• Mihalcin, M. J., T. A. Mazzuchi, S. Sarkani, and J. R. Dever. 2014. “Quality Control -- An Approach Applying Multivariate Control Charts during the Operation of Systems Involving Human Processes.” Systems Engineering 17 (2) (Summer 2014): 204-212. Published online 21 November 2013, doi: 10.1002/sys.21263.
• Pobiak, T. G., T. A. Mazzuchi, and S. Sarkani. 2014. “Creating a Proactive Obsolescence Management System Framework through the Systems Engineering Continuum.” Systems Engineering 17 (2) (Summer 2014): `125-139. Published online 23 May 2013, doi:10.1002/sys.21258.
• Grzeda, S., T. A. Mazzuchi, and S. Sarkani. 2014. “Temporary Disaster Debris Management Site Identification Using Binomial Cluster Analysis and GIS.” Disasters Journal 38 (2) (April 2014): 398-419.
• Townsend, L. A., T. A. Mazzuchi, and S. Sarkani. 2014. “A Schedule-Performance Approach for Level-of-Effort Tasks.” Engineering management journal 26 (1) (March 2014): 52-61.
• Doskey, S., S. Sarkani, and T. A. Mazzuchi. 2013. “Exploring Systems Engineering Patterns in Government Acquisition of Complex Information Systems.” Information, Knowledge, Systems Management Journal 12 (2) (2013): 97-114. doi: 10.3233/IKS-130218.
• Hamid, S., T. A. Mazzuchi, and S. Sarkani. 2013. “Disruption Management in the Defense Ammunition Industrial Base.” Security Journal advance online publication 26 August 2013; doi: 10.1057/sj.2013.32.
• Franz, A., S. Sarkani, and T. A. Mazzuchi. 2013. “Whole System Design and Evolutionary 21st Century American Buildings + Infrastructure.” International Journal of Architectonic, Spatial, and Environmental Design 7 (1): 19-48. Published online 7 October 2013.
• Leung, R., S. Sarkani, and T. A. Mazzuchi. 2013. “Mission Success Regulations, their Effect on ELV Launch Success and the Applicability to Regulating Commercial Human Spaceflight.” Space Policy 29 (4): 258-265. Published online 25 October 2013, doi: 10.1016/j.spacepol.2013.09.001.
• Patel, J., S. Sarkani, and T. A. Mazzuchi. 2013. “Knowledge Based Data Center Capacity Reduction Using Sensitivity Analysis on Causal Bayesian Belief Networks.” Information, Knowledge, Systems Management Journal 12 (2) (2013): 135-148. Published online 28 February 2014, doi: 10.3233/IKS-130221.
• Sanders, G. A., S. Sarkani, and T. A. Mazzuchi. 2013. “High Consequence Systems Phenomenological Characterization: A Tutorial.” Systems Engineering 16 (4): 464-472. Published online 18 April 2013, doi:10.1002/sys.21243.
• Segura, M., S. Sarkani, and T. A. Mazzuchi. 2013. “Effects of Geographic and Demographic Dispersion on the Performance of Systems Engineering Teams.” Information, Knowledge, Systems Management Journal 12 (2) (2013): 149-166. Published online 28 February 2014, doi: 10.3233/IKS-130222.
• Shelby, Jr., K. R., T. A. Mazzuchi, and S. Sarkani. 2013. “Tacit Knowledge Mobilization Effect Due to Information Structure.” Information, Knowledge, Systems Management 12 (2) (2013): 115-133. Published online 28 February 2014, doi: 10.3233/IKS-130220.
• McConkie, E., T. A. Mazzuchi, S. Sarkani, and D. Marchette. 2013. “Mathematical Properties of System Readiness Levels.” Systems Engineering 16 (4) (Winter 2013): 391-400. Published online 11 December 2012, doi: 10.1002/sys.21237.
• Jarvandi, A., S. Sarkani, and T. A. Mazzuchi. 2013. “Modeling Team Compatibility Factors Using a Semi-Markov Decision Process: A Data-Driven Approach to Player Selection in Soccer.” Journal of Quantitative Analysis in Sports 9 (4) (December 2013): 347-366. Published online 14 October 2013, 10.1515/jqas-2012-0054.
• Mohammadi, H., T. A. Mazzuchi, and S. Sarkani. 2013. “A Systems Engineering Framework for Implementing a Security and Critical Patch Management Process in Diverse Environments (Academic Department’s Workstations).” Journal of Information Technology Management 24 (4) (December 2013): 51-61.
• Bjorkman, E. A., S. Sarkani, and T. A. Mazzuchi. 2013. “Using Model-Based Systems Engineering as a Framework for Improving Test and Evaluation Activities.” Systems Engineering 16 (3) (Fall 2013): 346-362. Published online : 12 November 2012, doi: 10.1002/sys.21241.
• Georgiadis, D. R., T. A. Mazzuchi, and S. Sarkani. 2013. “Using Multi-criteria Decision Making in Analysis of Alternatives for Selection of Enabling Technology.” Systems Engineering 16 (3) (Fall 2013): 287-303. Published online 12 November 2012, doi:10.1002/sys.21233
• Wood, J. N., S. Sarkani, T. A. Mazzuchi, and T. J. Eveleigh. 2013. “A Framework for Capturing the Stakeholder System.” Systems Engineering 16 (3) (Autumn (Fall 2013)): 251-266. Published online 23 October 2012, doi: 10.1002/sys.21224.
• Battle, L. P., S. Sarkani, and T. A. Mazzuchi. 2013, “The Next Challenge to Interoperability? A First Look at Robotic System Wireless Interoperability in Emergency Response.” Journal of Emergency Management 11 (5), (September/October 2013): 333-357.
• Sahlin, J. P., S. Sarkani, and T. A. Mazzuchi. 2013. “Enterprise Consolidation for DoD Using Advanced TCA.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (5), (September 2013): 1116-1129. Published online 1 February 2013, doi:10.1109/TSMCA.2012.2226576.
• Bjorkman, E. A., S. Sarkani, and T. A. Mazzuchi. 2013. “Test and Evaluation Resource Allocation Using Uncertainty Reduction.” IEEE Transactions on Engineering Management 60 (3) (August 2013): 541-551. doi:10.1109/TEM.2012.2227972.
• Hendrickson, P. D., S. Sarkani, and T. A. Mazzuchi. 2013. “Benchmark Requirement Decision Making Tool to Optimize Effectiveness of Weapon System Modifications.” International Journal of Defense Acquisition Management 5 (July 2013): 1-19.
• Islam, M. F., S. Sarkani, and T. A. Mazzuchi. 2013. “A Quantitative Risk Analysis Framework for Evaluating and Monitoring Cloud Computing Security.” Journal of Information Systems Technology and Planning (Intellectbase) 6 (16), (July 2013): 45-63.
• Yang, E. J.-H., S. Sarkani, and T. A. Mazzuchi. 2013. “The Effects of Sustainable Development on Technological Innovation Performance -- An Empirical Approach.” Journal of International Business Management & Research 3 (10) (July 2013): 64-67.
• Bjorkman, E. A., S. Sarkani, and T. A. Mazzuchi. 2013. “Systems-Test Optimization Using Monte Carlo Simulation.” ITEA Journal 34 (2) (June 2013): 178-188.
• Cantwell, P. R., S. Sarkani, and T. A. Mazzuchi. 2013. “Dynamic Consequences of Cost, Schedule, and Performance within DoD Project Management.” Defense Acquisition Research Journal 20 (1), (April 2013): 99-116.

Background

Amir Etemadi is associate professor of online engineering at The George Washington University. Dr. Etemadi joined the Electrical Engineering department at GW in 2013 and the Online Engineering program in 2017. He has conducted research in control and operation of renewable energy systems, design and development of microgrids, and optimization and reliability of power systems. He is currently conducting research into the study and analysis of geomagnetic disturbances and their impacts on power system operation, sponsored by the National Science Foundation. His research publications appear in a variety of journals such as IEEE Transaction on Power System, Power Delivery, Industrial Electronics, Smart Grids, Journal of Energies, and Electric Power System Research. He has taught courses on electrical engineering fundamentals, advanced power system and power electronic topics, reliability, and probability and statistics. Dr. Etemadi has received his BSc from University of Tehran (2005), MSc from Sharif University of Technology (2007), and Ph.D. from University of Toronto (2012), in Electrical Engineering. He is a member of Institute of Electrical and Electronics Engineers (IEEE).

Publications

• A. Rezaei-Zare, A. H. Etemadi, and R. Iravani, “Challenges of power converter operation and control under ferroresonance conditions,” IEEE Transactions on Power Delivery, Oct. 2016, accepted for publication.
• Z. Yi and A. Etemadi, “Fault detection for photovoltaic systems based on multi-resolution signal decomposition and fuzzy inference systems,” IEEE Transactions on Smart Grid, Jul. 2016, accepted for publication.
• A. Alqurashi, A. H. Etemadi, and A. Khodaei, “Treatment of uncertainty for next generation power systems: State-of-the-art in stochastic optimization,” Electric Power Systems Research, vol. 141, pp. 233 – 245, Dec. 2016.
• A. H. Etemadi and R. Iravani, “Supplementary mechanisms for smooth transition between control modes in a microgrid,” Electric Power Systems Research, vol. 142, pp. 249–257, Jan. 2017.
• C. C. Thompson, P. E. K. Oikonomou, A. H. Etemadi, and V. J. Sorger, “Optimization of data center battery storage investments for microgrid cost savings, emissions reduction, and reliability enhancement,” IEEE Transactions on Industry Applications, vol. 52, no. 3, pp. 2053–2060, May 2016.
• A. H. Etemadi and A. Rezaei-Zare, “Optimal placement of GIC blocking devices for geomagnetic disturbance mitigation,” IEEE Transactions on Power Systems, vol. 29, no. 6, pp. 2753–2762, Nov. 2014.
• D. E. Olivares, A. Mehrizi-Sani, and A. H. Etemadi et. al., “Trends in microgrid control,” IEEE Transactions on Smart Grid, vol. 5, no. 4, Jul. 2014.
• A. H. Etemadi and R. Iravani, “Overcurrent and overload protection of directly voltage-controlled distributed resources in a microgrid,” IEEE Transactions on Industrial Electronics, vol. 60, no. 12, pp. 5629–5638, Dec. 2013.
• A. H. Etemadi, E. J. Davison, and R. Iravani, “A decentralized robust control strategy for multi-DER microgrids — Part I: Fundamental concepts,” IEEE Transactions on Power Delivery, vol. 27, no. 4, pp. 1843–1853, Oct. 2012.
• A. H. Etemadi, E. J. Davison, and R. Iravani, “A decentralized robust control strategy for a multi- DER microgrid — Part II: Performance evaluation,” IEEE Transactions on Power Delivery, vol. 27, no. 4, pp. 1854–1861, Oct. 2012.
• A. H. Etemadi and M. Fotuhi-Firuzabad, “Design and routine test optimization of modern protection systems with reliability and economic constraints,” IEEE Transactions on Power Delivery, vol. 27, no. 1, pp. 271–278, Jan. 2012.
• A. H. Etemadi and M. Fotuhi-Firuzabad, “New considerations in modern protection system quanti- tative reliability assessment,” IEEE Transactions on Power Delivery, vol. 25, no. 4, pp. 2213 –2222, Oct. 2010.
• A. H. Etemadi and M. Sanaye-Pasand, “High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system,” IET Generation, Transmission & Distribution, vol. 2, no. 1, pp. 110–118, Jan. 2008.
• A. H. Etemadi and M. Fotuhi-Firuzabad, “Distribution system reliability enhancement using optimal capacitor placement,” IET Generation, Transmission & Distribution, vol. 2, no. 5, pp. 621–631, Sep. 2008.
• A. H. Etemadi and M. Fotuhi-Firuzabad, “Quantitative assessment of protection system reliability incorporating human errors,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 222, no. 2, pp. 255–263, Jun. 2008.
• S. H. Hosseini and A. H. Etemadi, “Adaptive neuro-fuzzy inference system based automatic genera- tion control,” Electric Power Systems Research, vol. 78, no. 7, pp. 1230 – 1239, Jul. 2008.

Background

Dr. J.P. Blackford, is an adjunct professor for the Online Engineering Programs at The George Washington University. He received his Doctor of Engineering in Engineering Management, a M.S. in Environmental Engineering, and a B.S. in Civil Engineering, summa cum laude, with a secondary field in Biological Anthropology from The George Washington University. During his doctoral studies, he was the entrepreneurial lead in for a GW team in the National Science Foundation (NSF) sponsored Innovation Corps (I-Corps) program.

In addition to teaching, Dr. Blackford serves as Doctoral Program Coordinator for Online Engineering Programs Office. Previously, he was director of the Science and Engineering Apprentice Program (SEAP), an Army and corporate sponsored program in the Washington, D.C. area, which nurtured high school and college students' interests in science, technology, engineering, and mathematics (STEM) careers. Prior to returning to his alma mater, he was the Senior Environmental Services Engineer at the American Public Power Association (APPA), where he provided technical, regulatory and compliance assistance to APPA members and staff on environmental and energy efficiency issues pertaining to utilities, including filing comments on environmental regulations with EPA, and updating APPA members about upcoming environmental regulations

He is a member of the Tau Beta Pi engineering honor society and has served on the Tau Beta Pi Executive Council as the Association President from 2014 – 2016 and as Secretary in 2018, and currently serves as a District Director.

Publications

• Blackford, J. P. (Joseph P.). Public Power: Generating Greener Communities. Washington, D.C: American Public Power Association, 2005. Print.
• R Riffat, and JP Blackford, Impact of plastic recycling on pollution prevention: PROCEEDINGS OF THE 13. INTERNATIONAL CONFERENCE ON SOLID WASTE TECHNOLOGY AND MANAGEMENT. VOLUME 1.
• Jason R. W. Merrick, J. Rene van Dorp, Joseph P. Blackford, Gregory L. Shaw, Thomas A. Mazzuchi and Jack Harrald (2003). “A Traffic Density Analysis of Proposed Ferry Service Expansion in San Francisco Bay Utilizing Maritime Simulation”, Reliability Engineering and System Safety, Vol. 81, No. 2, pp. 119-132.

Background

Dr. Tomi Adetunji has over fifteen years of experience and expertise in Business Development, Systems Engineering, Cybersecurity, Program Management, Test and Evaluation, Technology Management, and Marine Engineering. He serves as the Director of Information Assurance for Vista Technology Services, Inc., responsible for Business Development and providing Strategic Planning, Systems Engineering, Cybersecurity solutions to DoD and other public sector clients. He was a Program Manager and Cybersecurity Test and Evaluation Principal for ICI Services Corporation, where he managed over $17M contract and led the technical and research efforts of a cross-functional team. He earned a B.Eng. in Marine Engineering Mechanical and a USCG Merchant Marine Officer License from SUNY Maritime College. He holds an M.S. and Doctorate in Engineering Management, with a concentration in Systems Engineering, from the George Washington University (GWU). He is a certified PMI Project Management Professional. He has received honors for his leadership, technical skills, contribution, and creativity from the Program Executive Office Unmanned and Small Combatants, and the Office of the Secretary of Defense. Dr. Adetunji is passionate about teaching and brings the latest research concepts and practice into his classroom. He is a Professorial Lecturer at GWU and serves as a Research Advisor to Doctoral Students. He is frequently invited to referee technical journals. His current or previous affiliations include the American Society of Mechanical Engineer (ASME), Society of Naval Architects and Marine Engineers (SNAME), American Society of Naval Engineers (ASNE), and GWU Faculty Committees. His research interests are in Cybersecurity, Operations Research, Bayesian Belief Networks, Artificial Intelligence, and Obsolescence.

Publications

• Adetunji O. (2019). Modeling System Obsolescence via Simple Additive Bayesian Allocation Network Process. INFORMS Annual Conference Meeting, pp. 1-15. Seattle, Washington
• Adetunji O, Bischoff J, Willy C. (2018). Managing system obsolescence via multi‐criteria decision making. System Engineering. 2018; 21:307–321.
• Adetunji, O., et al. (2015). Optimizing Lifecycle Cost through Systems Obsolescence Forecasting. 19th Annual Conference, Components for Military & Space Electronics Conference & Exhibition (p.33). Los Angeles, CA

Background

Dr. Reginald U. Bailey has over 40 years of experience working with complex enterprise level systems. He has developed, deployed, sustained, and managed systems across varied technical domains including C4ISR, transformational network communications, site automation and collection, cloud infrastructure frameworks, intelligence, data fusion, cargo security, machine learning, and educational technology. He has taught systems engineering in the graduate degree program at George Washington University since 2016. His research interests include understanding the value and risk of technology readiness assessments (TRA) for major defense acquisition programs, and effective portfolio management.

Dr. Bailey holds a Ph.D. and M.S. in Systems Engineering from George Washington University. He also holds a B.A. in Computer Science from the University of California Berkeley.

Publications

• Bailey, R. U., Mazzuchi, T. A., Sarkani, S., & Rico, D. F. (2012). A Framework for Evaluating ROI of TRA of Major Defense Acquisition Programs using Real Options. SEDC 2012, 14-16 May, Washington DC, INCOSE WMA.
• Bailey, R. U., Mazzuchi, T. A., Sarkani, S., & Rico, D. F. (2014). A Comparative Analysis of the Value of Technology Readiness Assessments. Defense Acquisition Research Journal, October 2014, Washington D.C.
• Bailey, R. U. (2015). A Risk Analysis Tool for Evaluating ROI of TRA of Major Defense Acquisition Programs. Doctoral Dissertation. The George Washington University. UMI No. 3668434.

Background

Dr. Belkhayat is a principal scientist with Huntington Ingalls serving as a power and energy subject matter expert. He has been working in the field for over 25 years.

He earned the Ph.D. in energy systems from Purdue University in 1997. The stability methods he developed in his thesis became a standard approach in the IEEE literature. He has published numerous papers on the stability of integrated DC and AC power systems, and he holds several patents in the field. His research spans a wide range of energy sources and conversion machines, including nuclear, hydrocarbon, wind, solar, sea waves., medium voltage power electronics, and rotating machinery.

Dr. Belkhayat taught energy conversion, controls, and modeling and simulation at the Naval Postgraduate School in Monterey, California, and at Qatar University before joining the George Washington University faculty as an adjunct professor.

Background

Dr. Biemer is a systems engineer for the Johns Hopkins University/ Applied Physics Laboratory and an Adjunct professor for the Online Engineering Programs at George Washington University. He has over 35 years of experience with the U.S. Departments of Defense and Homeland Security defining and conducting engineering assessments of systems, platforms, and systems-of-systems architectures and networks. He has worked within multiple domain areas, including the intelligence community, cybersecurity, acquisition, and military healthcare. Additionally, he is an adjunct instructor for Johns Hopkins University and University of Maryland.

Dr. Biemer holds a D.Eng. in Engineering Management from George Washington University, and two M.S. degrees in Computer Science and Technical Management. He is a member of INCOSE and a co-author of Systems Engineering: Principles and Practice, 3rd edition (Wiley, 2020).

Background

Dr. Jay Borst is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. Dr. Jay has over 25 years industry experience working DoD and Intelligence Community IT acquisition challenges, focusing on space systems and supporting ground systems. Research interests include space acquisition, the use of machine learning and artificial intelligence in social media, and leadership. Dr. Jay has a Ph.D. in Systems Engineering from GWU, A Masters of Science in Systems Engineering from GWU, and a Bachelors of Arts in Political Science and Government from the State University of New York at Albany.

Publications

• “US Space Acquisition Policy: A Decline in Leadership,” 7th Annual Acquisition Research Symposium, Naval Postgraduate School, May 2010, Conference Proceedings
• “Challenges in the Final Frontier,” Defense Acquisition Review Journal, Jan 2012
• Dissertation: Evaluating Export Control License Timelines Using System Dynamics, April 2012

Background

Dr. Carl E. Busart is an adjunct professor for the Online Engineering Programs at George Washington University. Dr. Busart received the B.S. and M.S. degrees from Johns Hopkins University, an MBA from the University of Maryland, College Park, and the D.Eng. degree from George Washington University. He is a branch chief at the U.S. Army Research Laboratory and a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). His research interests include artificial intelligence / machine learning (AI/ML) and secure design.

Publications

• P. Ovi, A. Gangopadhyay, R. Erbacher, C. Busart., “Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of Attacks,” 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec. 12-14, 2022. DOI 10.1109/ICMLA55696.2022.00183
• K. Bhar, H. Bai, J. George, C. Busart., “Asynchronous Bayesian Learning over a Network,” 2022 IEEE 61st Conference on Decision and Control (CDC), Cancún, Mexico, Dec. 6-9, 2022. DOI: 10.1109/CDC51059.2022.9992353
• X. Wang, A. Khan, J. Wang, A. Gangopadhyay, C. Busart, J. Freeman., “An edge–cloud integrated framework for flexible and dynamic stream analytics,” Future Generation Computer Systems, Volume 137, 2022, Pages 323-335, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.07.023.
• B. Zhang, R. Kannan, V. Prasanna, C. Busart., “Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA,” The 32nd International Conference on. Field-Programmable Logic and Applications (FPL), Belfast, United Kingdom, Aug. 29 – Sep. 2, 2022.
• S. Shaneman, J. George, C. Busart, "Scaling distributed artificial intelligence/machine learning for decision dominance in all-domain operations," Proc. SPIE 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 1211306 (Presented at SPIE Defense + Commercial Sensing: April 04, 2022; Published: 6 June 2022); https://doi.org/10.1117/12.2621199.
• H. Zhou, B. Zhang, R. Kannan, V. Prasanna and C. Busart, "Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA," 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022, pp. 1108-1117, doi: 10.1109/IPDPS53621.2022.00111.
• E. Dey, J. Hossain, N. Roy and C. Busart, "SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System," in 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), Marina del Rey, Los Angeles, CA, USA, 2022 pp. 334-341. doi: 10.1109/DCOSS54816.2022.00061
• H. Bai, K. Bhar, J. George and C. Busart, "Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks," 2021 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 2911-2916, doi: 10.1109/CDC45484.2021.9683353.
• D. Ye, H. Mozaffari-Naeini, C. Busart and N. Thakor, “MEMSurgery: An Integrated Test-Bed for Vascular Surgery,” International Journal of Medical Robotics and Computer Assisted Surgery, 1(3), pp 21-30, 2005.

Background

Dr. Raymond Chow is a lecturer for the Online Engineering Programs at the George Washington University. He has over 20 years of industry experience designing, developing, and sustaining systems for various federal, DoD, and international programs. Dr. Chow serves as the General Manager of the San Diego site for Lockheed Martin Rotary and Mission Systems and is the Project Engineering Manager responsible for C6ISR Global Sustainment West Coast Operations. He has worked with numerous organizations including the Census Bureau, Internal Revenue Service, U.S. Customs and Border Protection, Air Force, Navy, and foreign militaries in Africa, Asia, Australia, Eastern Europe, and the Middle East.

Dr. Chow holds a D.Eng. in Engineering Management and a M.S. in Systems Engineering from the George Washington University. He also holds a B.S. in Computer Science and a B.S. in Microbiology with a minor in Chemistry from the University of Florida.

Background

John L. Dargan, Ph.D. is a member of the Senior Executive Service and serves as the Chief Systems Engineer for the Department of Homeland Security (DHS). In this capacity he provides technical oversight for DHS Component acquisition programs and facilitates their transformation of customer requirements into operational capabilities, identification and mitigation of technical risks, and efficient capability delivery through the systems development life cycle. Dr. Dargan has served multiple federal agencies over 30 years including his service as a United States Air Force officer where he was assigned to various research and development, engineering, test, and acquisition duties. Notably, he served as Chief Engineer for a revolutionary smart-weapons system upgrade following Operation Desert Storm, and he later served as an Acquisition Category-1 Program Manager for an interagency, joint-service radar and communications system development. His educational background includes a Bachelor of Science in Electrical Engineering from Clemson University, a Master of Science in Electrical Engineering from the Air Force Institute of Technology, and a Doctor of Philosophy in Systems Engineering from The George Washington University.

Dr. Dargan is DHS Level III-certified in the Systems Engineering and Program Management career fields; and he has been recognized through numerous awards for his science and engineering leadership across DHS including the Under Secretary’s Award for Science and Technology (2016) and, most recently, the Secretary’s Award for Excellence (2019). Dr. Dargan is also an adjunct professor at The George Washington University providing course instruction in cyber security policy and compliance.

Publications

• Dargan, J. L., Wasek, J. S., & Campos, E. (2015). Systems Performance Prediction Using Requirements Quality Attributes. Requirements Engineering, Volume 20, No. 2 (July 2015): 3

Background

Dr. Kim Davis is an adjunct for the School of Engineering and Applied Science at The George Washington University in Washington, DC. Dr. Davis has nearly 20 years’ experience in industry and professional services, encompassing systems engineering and information governance strategy, as well as policy, process, and program leadership. Dr. Davis has a PhD in Systems Engineering from GWU, an MBA from Carnegie Mellon University, and a Bachelor’s and Master’s Degree in Industrial Engineering from Texas A&M University.

Background

Dr. John L. Dettbarn, Jr. is a professorial lecturer for the Online Engineering Programs at The George Washington University in Washington, DC. He is a is a registered professional engineer in Virginia, a Certified Government Financial Manager, and a former Defense acquisition professional and warranted contracting officer. Dr. Dettbarn has more than 35 years of experience in government and industry supporting the Defense Department, national security agencies, and the Intelligence Community. He has led the development and execution of multimillion-dollar federal infrastructure and national security research technology programs with his expertise in civil infrastructure program and project management, cost engineering and financial management, technology research and development, and acquisition planning and management. He is a retired U.S. Navy Civil Engineer Corps officer and an active engineering consulting executive. Dr. Dettbarn holds a Doctor of Science in Engineering Management from GWU, a MS in Engineering (Geotechnical) from the University of California at Berkeley, a MA in National Security and Strategic Studies from the U.S. Naval War College, and BS in Civil Engineering from Virginia Tech.

Publications

• U.S. Department of Homeland Security Market Research Report: Real Property Enterprise Asset Management System Software Applications, LMI Report DHS8IT1, Deena D. Daggett, John L. Dettbarn, Linda T. Gilday, T. Alan Nabors, September 2009.
• New York City, Department of Transportation, Division of Bridges: Independent Assessment of Procurement Practices, AASHTO/LMI Report, John L. Dettbarn, Peter “Jack” Basso, Kevin L. Bocock, Francis A. Dutch, D. Stan Hettich, Joung Lee, and Hugh E. Reams, March 2009.
• NSF EarthScope Independent Cost Review, LMI Report NSF50T1, John L. Dettbarn, Jonathan P. Adams, Robert L. Crosslin, John A. DiDuro, and Douglas A. Gray, June 2005.
• “Capital Project Portfolio Management for Federal Real Property,” ASCE Journal of Management in Engineering, John Dettbarn, C. William Ibbs, and E. Lile Murphree, January 2005, Vol. 21, No. 1, pp. 44–53.
• Review of the Overseas Basing Posture of the United States: Aligning Basing Structure with Strategy, Overseas Basing Commission Report OBC50S1, John L. Dettbarn, Jonathan P. Adams, David R. Gallay, and Hugh E. Reams, January 2005.
• Cost Analysis of Inadequate Interoperability in the U.S. Capital Facilities Industry, NIST Report GCR 04-867, Michael P. Gallaher, Alan C. O’Connor, John L. Dettbarn, and Linda T. Gilday, August 2004.
• Network for Earthquake Engineers Simulation (NEES) Independent Cost Review, LMI Report NSF40L1, , John L. Dettbarn, Jonathan P. Adams, Robert L. Crosslin, John A. DiDuro, Douglas A. Gray, Paul D. Jung, and David K. Shephard, February 2004.
• Program and Project Management Assessment: DOE Idaho National Engineering and Environmental Laboratory, LMI Report DE229R1, John L. Dettbarn, Steven Flannery, Chris Gruber, Hugh E. Reams, and Gerald Westerbeck, May 2003.

Background

Prof Duke is an adjunct Professor for the Online Engineering Programs at the George Washington University located in Washington DC. Prior to joining the College of Information and Cyberspace at the National Defense University as an Associate Professor of Cyber Security located at Ft. McNair, Washington DC. as a faculty, Prof Duke served over 28 years in the U.S. Army, within U.S. Signal Corps Communication and Electronics. Prof Duke was also a Joint Duty Officer with the National Security Agency as an Information Systems Security Engineer (ISSE) while supporting the Defense Information Systems Agency (DISA), National Security Agency (NSA), Defense Intelligence Agency (DIA), Central Intelligence Agency (CIA), DoD Joint Staff, and the many organizations within the Intelligence Community (IC), and numerous Non-DoD agencies.

Prof Duke’s areas of expertise include Information Assurance & Information Security, Network Engineering & Network Security, Cyber Security, Certification & Accreditation (C&A) and or Risk Management & Compliance, Emerging Technologies, and Fiber Optics & Wireless Systems and Telecommunications. Prof Duke also holds many Professional Certifications as a Cyber Professional. He is currently pursuing his Ph.D. in Engineering Management and Systems Engineering with George Washington University.

Background

Dr. Fossaceca currently serves as Associate Division Chief for the U.S. Army Research Laboratory’s Information Sciences Division, where he supports research programs in AI & Machine Learning for Autonomous Systems. As Executive VP of Engineering, Dr. Fossaceca managed the team responsible for the modernization of the U.S. Army’s satellite-based Blue Force tracking system while at Comtech Telecommunications and served as VP of Engineering and Principal Investigator on Small Business Innovation Research programs for the U.S. Navy at 3e Technologies where his team developed some of the first secure WiFi technology accredited by the U.S. Government. Dr. Fossaceca also was also an Engineering Director at AT&T/Lucent/Bell Labs for Next Generation Telecommunications Systems working on several products including early VoIP telephony technology.

Dr. Fossaceca has conducted research and development in adaptive signal processing, machine learning, communications and cybersecurity. His present research interests are in online continuous machine learning in data-constrained environments, network intrusion detection, and the internet of battlefield things. Dr. Fossaceca is co-inventor on six patents related to wireless communications and signal detection, and he serves as a reviewer for several refereed journals. He teaches graduate courses in quantitative models, software engineering, and cybersecurity, and serves as Ph.D. research advisor for several students.

Dr. Fossaceca holds bachelor’s and master’s degrees in electrical engineering from Manhattan College and Syracuse University, respectively; an M.B.A. from Virginia Tech; and a Ph.D. in systems engineering from the George Washington University.

Publications

• MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection JM Fossaceca, TA Mazzuchi, S Sarkani Expert Systems with Applications 42 (8), 4062-4080
• A semi-boosted nested model with sensitivity-based weighted binarization for multi-domain network intrusion detection JW Mikhail, JM Fossaceca, R Iammartino ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-27
• Artificial Intelligence and Machine Learning for Future Army Applications JM Fossaceca, SH Young Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX. Vol. 10635. International Society for Optics and Photonics, 2018
• Multiattribute Framework for Requirements Elicitation in Phased Array Radar Systems M Tompkins, R Iammartino, J Fossaceca IEEE Transactions on Engineering Management
• Evaluation of preconditions affecting symptomatic human error in general aviation and air carrier aviation accidents AJ Erjavac, R Iammartino, JM Fossaceca Reliability Engineering & System Safety 178, 156-163
• Software obsolescence risk assessment approach using multicriteria decision‐making TF Bowlds, JM Fossaceca, R Iammartino Systems Engineering 21 (5), 455-465
• Assessing the impact of requirements review on quality outcomes TE White, R Iammartino, JM Fossaceca Quality and Reliability Engineering International 34 (5), 882-893

Background

Dr. Michael W. Grenn began serving as an adjunct professor for The George Washington University Online Engineering Programs, in 2012 and also serves as a Doctoral Research Advisor for candidates pursuing their Ph.D. and D.Eng. degrees. During his career with the Department of Defense, Dr. Grenn has served as Deputy Director of Technology, Chief of the Sensors and Lasers Division, and Senior Engineer at the Defense Technology Security Administration (DTSA), and his current responsibilities include assessment and protection of critical and emerging technology, capability analysis, risk management, requirements engineering, continuous process measurement and improvement, and enterprise architecture. Prior to joining DTSA, he served as Chief, Imaging Technology Branch and Chief, Infrared Camera Technology Branch at the U.S. Army Night Vision and Electronic Sensors Directorate (NVESD) at Ft. Belvoir, VA where he was responsible for design and development of night vision sensors and advanced infrared imaging technology. He has worked for the DoD for more than 38 years.

Dr. Grenn received his B.Sc. degree from The College of William and Mary, and the M.S. and Ph.D. degrees in systems engineering from The George Washington University, Washington, D.C. Dr. Grenn received the PMP certification in 2014 and is a level III DAWIA Certified Acquisition Professional (SPRDE).

Publications

• Grenn MW, Sarkani S, and Mazzuchi T, A Theory of Information Quality and its Implementation in Systems Engineering, IEEE Systems Journal, Volume 9, Issue 4, Pages 1129-1138, 23 December 2013
• Grenn MW, Sarkani S, and Mazzuchi T, The Requirements Entropy Framework in Systems Engineering, Journal of Systems Engineering, Volume 17, Issue 4, Winter 2014, Pages 462-478, Article first published online: 24 Jul 2014
• Marshall C, Roberts B, Grenn M, Context-Driven Autonomy for Enhanced System Resilience in Emergent Operating Environments, IEEE Systems Journal, Vol 13, Issue 3, Pages 2130-2141, Sep 2019
• Li YL, Roberts B, Grenn M, Forecasting System Capability Using Scenario-Based Experimental Design Test Approach, IEEE Systems Journal, Vol 13, Issue 3, Pages 2142 – 2153, Sep 2019
• Avalos J, Grenn M, Roberts B, Assessment of Complex System Changeability Using a Learning Classifier System, IEEE Systems Journal, Vol 13, Issue 3, Pages 2177 – 2188, Sep 2019
• Yeasin FN, Grenn M, Roberts B, A Bayesian Networks Approach to Estimate Engineering Change Propagation Risk and Duration, IEEE Trans on Eng Mgmt, Early Access, Pages 1 – 16, 23 Jan 2019
• Esmaeilzadeh E, Grenn M, Roberts B, A System of Systems Framework for Improved Collaborative Decision Making, IEEE Systems Journal, Vol 13, Issue 4, Pages 4122-4133, 12 July 2019

Background

Thomas Holzer, D.Sc., has been Adjunct Professor for the Online Engineering Programs at George Washington University, Washington, D.C., since 1999. He is the former Director, Engineering Management Office, Enterprise Operations Directorate, National Geospatial-Intelligence Agency.

He has over 35 years of experience in lifecycle systems engineering, leading large-scale information technology programs, and process improvement initiatives. Dr. Holzer was responsible for the strategic evolution of the National System for Geospatial-Intelligence technical and operational infrastructure architectures; assuring the integrity of the systems engineering performed; and development of a proficient systems engineering workforce.

Dr. Holzer has D.Sc. and M.S. degrees in Engineering Management from George Washington University and a B.S. degree in Mechanical Engineering from the University of Cincinnati.

Background

Dr. Muhammad F. Islam is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. He is an INCOSE Certified Systems Engineering Professional (CSEP), Project Management Professional (PMP) and Certified Information Systems Security Professional (CISSP). Dr. Islam has over 17 years of technical and leadership experience in systems architecture, development, cloud computing, security engineering, data analytics, systems lifecycle management and business process re-engineering. He led multiple task orders within the US Department of Defense (DoD), Department of Treasury and Department of Veterans Affairs, ranging from $6M to $14M annual funding from initiation to project execution and delivery for service-oriented IT products. Dr. Islam earned his Ph.D. in Systems Engineering from the George Washington University, Washington, DC. His dissertation research focused on applying probabilistic risk analysis models to analyze operational reliability of cloud/distributed computing architectures. He received a B.S. in Electrical Engineering from the West Virginia University and a M.S. in Electrical Engineering from the University of South Alabama. Dr. Islam is a member of ABET Engineering Accreditation Commission (EAC) for Systems Engineering.

Publications

• Islam, M. N., M. Islam, and K. Shahrabi. 2015. “Robust Information Security System Using Steganography, Orthogonal Code and Joint Transform Correlation.” International Journal for Light and Electron Optics (Optik) 23 (126), (December 2015): 4026-4031.
• Islam, M. F., S. Sarkani, and T. A. Mazzuchi. 2013. “A Quantitative Risk Analysis Framework for Evaluating and Monitoring Cloud Computing Security.” Journal of Information Systems Technology and Planning (Intellectbase) 6 (16), (July 2013): 45-63.
• Islam, M. N., M. Islam, and K. Shahrabi. 2013. “Enhanced information security employing orthogonal code, steganography, and joint transform correlation.” Optical Pattern Recognition XXIV, 8748 (April 2013): doi: 10.1117/12.2016394.
• Islam, M. F., and M. Islam. 2012. “A secure approach for encrypting and compressing biometric information employing orthogonal code and steganography.” Optical Pattern Recognition XXIII, 83980I (April 2012): doi: 10.1117/12.918648
• Islam, M. F., M. Alam, and M. Elbakary. 2007. “Pattern recognition in hyperspectral imagery using one dimensional maximum average correlation height filter and Mahalanobis distance.” Automatic Target Recognition XVII, 65660I (April 2007): doi: 10.1117/12.717855
• Islam, M. F., and M. Alam. 2006. “Improved clutter rejection in automatic target recognition and tracking using eigen-extended maximum average correlation height (EEMACH) filter and polynomial distance classifier correlation filter (PDCCF).” Optical Pattern Recognition XVII, 62450B (April 2006): doi: 10.1117/12.666256

Background

Frederick Judd, JD, CPA, is an Adjunct Professor of Engineering Law, teaching his first class at George Washington University in early 2021. Professor Judd has taught at the college level for nearly 10 years, first as an Adjunct Instructor at various Orange County colleges, and for the past 5 years, as a full-time Professor of Business Law at Orange Coast College in Costa Mesa, California. Prior to his appointment at OCC, Professor Judd served in various corporate legal and financial management roles, including CFO and General Counsel for various technology companies. He is an attorney licensed in California and Arizona, and is a CPA (inactive) in Arizona. He has a BS Accounting from Arizona State University and a JD degree from Brigham Young University.

Background

Dr. John Kamp is a member of the research staff and professor at the George Washington University. He is a retired naval officer, a Fellow in the Royal Institution of Naval Architects, and Department of Defense civil servant with over 30 years of direct experience in military operations, new program development and program management. His current research interests include engineering management, and machine learning and autonomy applications for maritime systems. Dr. Kamp has a Doctor of Engineering degree in Engineering Management from the George Washington University and a Master of Engineering degree in Nuclear Engineering from Iowa State University.

Background

Dr. Robert H. Laurine Jr. is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, D.C. He currently serves as the Vice Chancellor and Chief Information Officer (CIO) for the University System of Georgia (USG), overseeing higher education technology solutions for all 26 public colleges and universities.

Prior to his position with the USG, Dr. Laurine served as Chief Technology Officer, HP Enterprise Services, driving innovative solutions for the Department of Defense and Intelligence Community.

In 2014, Dr. Laurine retired as a Defense Intelligence Senior Executive for the National Geospatial-Intelligence Agency (NGA) within the Department of Defense. During his 30-plus years of federal service, Dr. Laurine served in key leadership positions at NGA to include: CIO, West Executive, Chief Operating Officer, and Director of Research and Development. In addition, Dr. Laurine established the NGA University Research Initiative, partnering with top national universities to administer federal grant opportunities and develop cohort programs for employees to further their education.

Dr. Laurine graduated from the University of Maryland with bachelor degrees in both Geology and Computer Science. He holds a Master of Science degree in Computer Science and a Doctorate of Science in Engineering Management from The George Washington University. In addition, he has received extensive leadership training from Harvard University, Korn Ferry Institute, and the Center for Creative Leadership. Dr. Laurine has been honored with the National Intelligence Award for Collaboration Leadership, National Intelligence Distinguished Service Medal, the National Intelligence Superior Service Medal, and the Federal Executive Board’s Leader of the Year Award. He was recognized by two U.S. Presidents with both the Presidential Distinguished and Meritorious Executive Awards for sustained extraordinary accomplishment and service to his country.

Background

Dr. Hadi Mohammadi is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. He is an IT professional experienced with planning, implementing and managing endpoint and network architecture and accomplished ITIL, AWS Solution Architecture (SAA), and SecurityPlus certified. Dr. Mohammadi has over 10 years experience as a hands-on manager with strong knowledge of IT processes and cybersecurity incidents. Dr. Mohammadi has been engaged in the consulting industry in the areas of cybersecurity, risk management, and systems engineering techniques, and has competently managed multiple projects while maintaining customer satisfaction. In addition to his ongoing duties currently he is involved in designing, implementing, penetration testing, troubleshooting network infrastructure, Continuous Diagnostics and Mitigation (CDM) architecture design, cloud computing, AWS solution architecture, compliance and cybersecurity principles. Dr. Mohammadi has a Doctor of Philosophy (Ph.D.) Degree in Systems Engineering and a Masters in Engineering Management from GWU.

Publications

• Hadi Mohammadi, Thomas Mazzuchi, and Shahram Sarkani, A Systems engineering framework for implementation of security and critical patch management process in diverse environments, Journal of Information Technology Management (JITM) 24 (4), 51-61, Dec 2013

Background

James Moreland, Ph.D., currently serves as Deputy Director for Naval Warfare, Tactical Warfare Systems, in the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics. He previously served as Chief Engineer for the Naval Surface Warfare Center Dahlgren Division.

Dr. Moreland earned the Ph.D. in Systems Engineering from George Washington University; M.S. in National Resource Strategy from the Industrial College of the Armed Forces; M.S. in Systems Engineering from Virginia Tech; and B.S. in Mechanical Engineering from the University of Maryland. He is Defense Acquisition Workforce Improvement Act Level III certified in the Systems Planning, Research, Development, and Engineering and Program Management career fields.

Recent Awards:

• Four Meritorious Unit Awards
• Navy Superior and Distinguished Civilian Service Awards
• Numerous NAVSEA and NSWCDD awards
• Multiple best technical paper awards from the American Society of Naval Engineers and INCOSE

Background

Dr. Paul S. Moses is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. From 2007 to 2014, he was an Electrical Engineer for the Australian DoD. He performed naval engineering support and R&D in combat systems for the Australian Collins Class Submarines at the naval base in Garden Island, Western Australia. He participated in several experimental sea-trials for new sonar technologies. Upon finishing his PhD in Power Engineering in 2012 from Curtin University of Technology, Western Australia, he accepted a position to work for the Power and Energy Systems Group in Melbourne, Australia. He served as a power systems specialist supporting several naval projects including the SEA 1000 Future Submarine Project and has been called upon as a subject matter expert for leading technical investigations of electrical plant issues in naval vessels. In 2014, Dr. Moses moved into academia as an assistant professor with research interests in naval and terrestrial power systems, electromagnetic transients and renewable energy.

Publications

• W. Fei and P. Moses, “Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks,” Energies, vol. 12, no. 22, p. 4333, Nov. 2019.
• M. Mesbah, P. S. Moses, S. M. Islam, and M. A. S. Masoum, "Digital implementation of a fault emulator for transient study of power transformers used in grid connection of wind," IEEE Transactions on Sustainable Energy, vol. 5, pp. 646-654, 2014.
• P. S. Moses and M. A. S. Masoum, "Three-phase asymmetric transformer aging considering voltage-current harmonic interactions, unbalanced nonlinear loads, magnetic couplings and hysteresis," IEEE Transactions on Energy Conversion, vol. 27, pp. 318-327, 2012.
• S. Deilami, A. Masoum, P. S. Moses, and M. A. S. Masoum, "Real-time coordination of Plug-In Electric Vehicle charging in smart grids to minimize power losses and improve voltage profile," IEEE Transactions on Smart Grid, vol. 2, no. 3, pp. 456-467, 2011.
• P. S. Moses, M. A. S. Masoum, and H. A. Toliyat, "Impacts of hysteresis and magnetic couplings on the stability domain of ferroresonance in asymmetric three-phase three-leg transformers," IEEE Transactions on Energy Conversion, vol. 26, no. 2, pp. 581-592, 2011.
• P. S. Moses, M. A. S. Masoum, and H. A. Toliyat, "Dynamic modeling of three-phase asymmetric power transformers with magnetic hysteresis: no-load and inrush conditions," IEEE Transactions on Energy Conversion, vol. 25, no. 4, pp. 1040-1047, 2010.

Background

Dr. Sahlin has been engaged in the implementation of and research in complex systems engineering for over 25 years. His primary focus is on cybersecurity and system design of multi-tenant systems architecture, such as Managed Service Provider and Cloud Computing architecture for commercial and public-sector clients. In addition to his ongoing duties as Professorial Lecturer in Engineering at GW, Dr. Sahlin serves as Director of Technology for Engility’s Defense and Security Group, where he is responsible for strategic planning, network design, systems engineering, and cybersecurity programs for DoD, DOJ, DHS, and other clients.

At Engility, Dr. Sahlin leads research efforts in support of the Defense Technical Information Center, Deputy Assistant of Defense for Systems Engineering, and Defense Threat Reduction Agency on numerous topics, including the implementation of cloud computing architectures for academic environments.

After completing the B.S. in political science at the United States Naval Academy, Annapolis, MD, Dr. Sahlin earned the M.S. and Ph.D., both in systems engineering, from George Washington University, Washington, D.C.

Publications

• Sahlin, J. P. and K. Lobera (2016). “Cloud Computing as a Catalyst for Change in STEM Education,” in Chao, L. (Ed.) Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes [Hershey, PA: Information Science Reference]
• Sahlin, J. P. (Ed.). (2015). Social Media and the Transformation of Interaction in Society. Hershey, PA: IGI Global. ISBN13: 9781466685567
• Sahlin, J. (2014). “Federal Government Application of the Cloud Computing Application Integration Model,” in Khosrow-Pour, M. (Ed.). Encyclopedia of Information Science and Technology, 3rd Ed. [Hershey, PA: IGI Global]
• Sahlin, J. (2013). “Cloud Computing: Past, Present, and Future,” in X. Yang, & L. Liu (Eds.), Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing [Hershey, PA: IGI Global]

Background

Shahryar Sarkani, D.Sc., is Adjunct Professor for the Online Engineering Programs at George Washington University, Washington, D.C. He has over 20 years of experience in the field of software engineering focusing on architecture and design.

Dr. Sarkani earned the D.Sc. in Systems Engineering from George Washington University, an M.S. in Mathematics from the University of New Orleans, and a B.S. in Electrical Engineering from Louisiana State University.

Background

Dr. Niranjan Seevaratnam is a professorial lecturer for the Online Engineering Programs at The George Washington University in Washington, DC. He has over 28 years of experience in the development, implementation and management of Information Technology, and has held various senior leadership positions at multinational and mid-size organizations in a variety of sectors (IT consulting, software, nonprofit, higher education, gaming/lottery and retail). He has managed numerous multimillion-dollar strategic IT infrastructure and applications initiatives from concept to delivery in the Americas, Asia, Europe and Africa. Dr. Seevaratnam currently serves as the Senior Director - Global IT Operations for Project HOPE, and is responsible for providing technology vision, transformation and leadership for strategic planning, innovation, and development and delivery of the organization’s IT solutions and services.

Dr. Seevaratnam received a Doctor of Engineering in Engineering Management, and a Master of Engineering Management, with a concentration in Software and Information Systems Management from The George Washington University, and a Bachelor of Science in Computer Information Systems from Shenandoah University. His research interests include cybersecurity, artificial intelligence, machine learning techniques, modeling and optimization in the areas of cloud computing and high-performance computing systems. Dr. Seevaratnam's affiliations include Association for Computing Machinery (ACM), Institute of Electronics and Electrical Engineering (IEEE), American Society for Engineering Management (ASEM) and the Internet Society (ISOC).

Background

Haya Shajaiah is adjunct professor for the Online Engineering Programs at The George Washington University. Before joining GWU, she was a postdoctoral research fellow at Virginia Tech. She was awarded the Intelligence Community (IC) Postdoctoral Research Fellowship to conduct research at Virginia Tech. During her PhD, she was a research assistant at The Bradley Department of Electrical and Computer Engineering and Hume Center for National Security and Technology at Virginia Tech. Her research interests are in the areas of wireless communications and networks, radio resource allocation, cognitive systems, spectrum sharing, and spectrum auctions. Dr. Shajaiah has published more than 20 journal and conference research papers, and 2 books in these research topics. She is a member of IEEE. Her book Resource Allocation with Carrier Aggregation in Cellular Networks was featured in the 13th Annual Virginia Tech Authors Recognition Event. Dr. Shajaiah has received the B.S. degree in electronics engineering from Alquds University in Palestine in 2006, the M.S. degree in electrical engineering from George Washington University in 2009, and the Ph.D. degree in electrical engineering from Virginia Tech in 2016.

Publications

• H. Shajaiah, A. Abdelhadi, and T. Clancy, Performance and Security for the Internet of Things: Emerging Wireless Technologies, McGraw-Hill, 2020. (McGraw-Hill)
• H. Shajaiah, A. Abdelhadi, T. Clancy, Resource Allocation with Carrier Aggregation in Cellular Networks: Optimality and Spectrum Sharing using C++ and MATLAB, Springer, 2017. (Springer)
• H. Shajaiah, A. Abdelhadi and C. Clancy, "An Optimal Strategy for Determining True Bidding Values in Secure Spectrum Auctions," in IEEE Systems Journal, vol. 13, no. 2, pp. 1190-1201, June 2019
• H. Shajaiah, A. Abdelhadi and T. C. Clancy, "Robust Resource Allocation with Joint Carrier Aggregation in Multi-Carrier Cellular Networks," in IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 1, pp. 53-65, March 2018
• H. Shajaiah, A. Abdelhadi, T. Clancy, “An Efficient Multi-Carrier Resource Allocation with User Discrimination Framework for 5G Wireless Systems,” International Journal of Wireless Information Networks, Springer, Volume 22, Issue 4, pp 345-356, December 2015
• Abdelhadi, H. Shajaiah, T. Clancy, “A Multi-Tier Wireless Spectrum Sharing System Leveraging Secure Spectrum Auctions," in IEEE Transactions on Cognitive Communications and Networking, vol. no. 2, pp. 217-229, June 2015

Background

Dr. George Trawick is an information assurance and cybersecurity professional with over 20 years’ experience in the cyber field. His special interests are risk assessment, accreditations, cryptology, cyber policy and cybercrime, for which his hands-on, operational experience coupled with extensive teaching have prepared him. He currently serves as assistant professor of cybersecurity at the National Defense University, College of Information and Cyberspace.

Formerly he was Chief of Information Assurance at the U.S. Army Human Resource Command, where he gained proficiency ranging from design, implementation and maintenance of classified networks to analysis of risk and operations. In his role at HRC, Dr. Trawick oversaw the IA elements for more than 350 personnel mission applications, as well as for IA training and compliance for the organization.

In addition to his background in cyber risk and security, Dr. Trawick is a skilled military leader with experience leading both infantry and artillery platoons, as well as directing battery deployments.

Background

Dr. Fredrick A. Turman is an adjunct professor for the Online Engineering Programs at The George Washington University in Washington, DC. He is an INCOSE Certified Systems Engineering Professional, licensed Professional Engineer, DAWIA certified Level III Program Manager, PMI Project Management Professional and holds several ITIL certifications

Dr. Turman has over 30 years government and industry experience spanning several acquisition-related areas, including Program Management, Systems Engineering and Enterprise IT Operations. As a member of the Defense Intelligence Senior Executive Service, he fulfilled key leadership roles in achieving NGA’s strategic objectives related to business and mission continuity, personnel, facilities, security, corporate relations, and planning. He served abroad three times, representing the Director of the National Geospatial-Intelligence Agency (NGA) in international engagement, military cooperation, and support to combat operations roles. Since joining industry in 2013, he has held Principal Systems Engineering and Program Management roles supporting Department of Defense and Intelligence Community programs. He also volunteers as co-chair of the US Geospatial-Intelligence Foundation (USGIF) NGA Advisory Working Group leading a small team of industry experts who offer support and advice to NGA senior officers on a range of acquisition topics.

Dr. Turman is a National Defense University CAPSTONE Fellow and holds Doctor of Management, MBA and BS Engineering Management degrees.

Background

Dr. Jim Whitehead is a Professor of Systems Engineering at the Defense Acquisition University, where he teaches Information Technology courses and provides consulting services to Department of Defense Program Offices. He previously worked at the National Geospatial-Intelligence Agency (NGA) and was the Deputy for Future Capabilities. Before that he was the Deputy Director for Enterprise Engineering in the Information Technology Directorate. He was also Deputy Director for Data Center Services, responsible for NGA’s Cloud Computing operations supporting the analysis of geospatial intelligence. Earlier, he was responsible for NGA's world-wide Information Technology infrastructure that supports the Agency’s external operations. A retired Brigadier General in the Army Reserve with service in Iraq, Dr. Whitehead has over 20 years’ experience in the private sector developing new IT businesses, including as Vice President of Advanced Services for Charter Communications, as well as Senior Manager for Data Services at BellSouth Communications, now AT&T, and Optus Communications in Australia, where he helped stand up a brand new national telephone company. He is also a member of the Defense Acquisition Corps and received his PhD in Systems Engineering at the George Washington University. Dr. Whitehead has a Bachelor of Science degree in Engineering from West Point, a Masters degree in Systems Engineering from the George Washington University, a Masters degree in Strategic Studies from the Army War College and an MBA from the Harvard Business School.

Publications

• “Maximizing Federal IT Dollars: A Connection Between IT Investments and Organizational Performance,” Defense Acquisition Research Journal, April 2011. My article won the Hirsch Award for excellence by the Defense Acquisition University.
• “IT Investment Allocation and Organizational Performance: A Study of Information Technology Investment Portfolios in Federal Government Agencies,” Dissertation to fulfill requirements for a PhD in Systems Engineering at The George Washington University, 2011.

Background

Dr. Stephen D. Young works in the Wealth & Investment Management (WIM) division of Wells Fargo and is the Head of Market Risk and Advanced Analytics for WIM’s Fiduciary, Investment, Market, and Model Risk organization. Prior to this current role, Stephen was the Head of Credit & Counterparty Risk Analytics Group, Director of Risk Oversight, and a member of the Equity Derivatives Group all at Wachovia. Stephen is an adjunct professor at The George Washington University, DC where he teaches Stochastic Processes. Stephen holds a Doctorate in Engineering (D.Eng.), MBA, and MS from GWU, and an MS from Northwestern. Stephen’s interests are at the intersection of finance, data science, and methods of operations research.

Publications

• Two State Option Pricing: Binomial Models Revisited, “The Journal of Futures Markets.” Volume 21, Number 11, 987-1001, November 2001.
• Option Pricing and Higher Order Moments, “Advances in Quantitative Finance and Accounting.” Volume 10, 2002.
• Multinomial Lattices and Derivatives Pricing, “Advances in Quantitative Finance and Accounting.” 2005.
• A Simple Induction Approach and an Efficient Trinomial Lattice for Multi-State Variable Interest Rate Derivatives Models, “Review of Quantitative Finance and Accounting.” Volume 24, 2005.
• Nth-to-Default Swaps: Overview and Analysis, “Managerial Finance.” Volume 35, Issue 1, 2009.
• Structural Default Modeling: A Lattice Based Approach, “Journal of Derivatives.” Volume 17, No. 4, Summer 2010.
• Structural Default Modeling: A Hybrid Based Approach, “Journal of Fixed Income.” Volume 23, No. 4, Spring 2014.

Background

Dr. Stuart H. Young holds a B.S. (1991) in Mechanical Engineering from the University of Washington, Seattle, WA; an M.S. (1996) in Mechanical Engineering from the Naval Postgraduate School, Monterey, CA; and a Ph.D. (2016) in Systems Engineering from The George Washington University, Washington, DC. Currently, he is the Chief of the Asset Control and Behavior Branch, the Collaborative Alliance Manager for the Robotics Collaborative Technology Alliance (CTA) and the lead for the Intelligent Systems Center, all with the U.S. Army Research Laboratory, Adelphi, MD. From 2006 to 2007, he was the Project Coordinator for Unmanned Systems and Countermine and Counter IED in the Program Manager–Future Combat Systems, Technology Office. He was with the U.S. Army Reserve as an Engineer Officer from 1991 to 2003. He holds four patents. His current research interests include the development of intelligent systems; autonomous behaviors for collaborating robotic teams operating in complex and urban environments; and in their experimental evaluation. He also serves as co-chair on the OSD Autonomy COI Test & Evaluation and Verification & Validation Working Group. Dr. Young is an Elected Member of the Tau Beta Pi National Engineering Honor Society and the Pi Tau Sigma International Mechanical Engineering Honor Society.

Publications

• Young, S.H., Mazzuchi, T.A. and Sarkani, S., 2016. A Framework for Predicting Future System Performance in Autonomous Unmanned Ground Vehicles. IEEE Transactions on Systems, Man, and Cybernetics: Systems.
• Option Pricing and Higher Order Moments, “Advances in Quantitative Finance and Accounting.” Volume 10, 2002.
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Background

Dr. Sean Yun is an Adjunct Professor for the Online Engineering Programs at The George Washington University in Washington, DC. He has over 15 years of industry experience in wireless and wired communications technologies. At the U.S. Federal Communications Commission (FCC) headquarters in Washington, DC, Dr. Yun serves as the Deputy Division Chief in the Office of Engineering and Technology and leads multiple teams of engineers and computer scientists focusing on next-generation telecommunication technology standards, recommendations, policies, and regulations. Dr. Yun holds a Ph.D. in Engineering Management and a M.S. in Electrical Engineering from The George Washington University, and a B.S. degree in Electrical Engineering with an emphasis on communication systems from the University of California, San Diego.