Dr. Laurence Larry
D. Merkle, Research Assistant Professor
Dr. Laurence D. Merkle is a Research Assistant Professor of Computer Science in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT). In this role, which he has held since 2022, he plans and executes computer science research programs and works with Air Force and Department of Defense (DoD) organizations to meet their research needs. He also directs, coordinates, and evaluates research programs for master’s and doctoral students, providing authoritative consultation in computer science to Air Force and DoD organizations. Dr. Merkle has chaired 2 Ph.D. committees and 13 master's thesis committees, co-chaired 2 master's thesis committees, and been a member of 19 other graduate thesis committees.
Prior to his current position, Dr. Merkle served as an Assistant Professor of Computer Science at AFIT from 2015 to 2022. During this time, he taught graduate-level computer science courses for degree programs and professional continuing education, and developed curricula to meet the Air Force’s educational needs. His responsibilities also included research, collaboration with colleagues, publication of results, and mentoring graduate students. He has published numerous works, including 15 journal articles and over 30 refereed conference papers, as well as 34 invited presentations, technical reports, and workshop papers. His successful funding proposals as PI or Co-PI total over $1.1 million.
Before returning to AFIT, Dr. Merkle was the Founder of Computational Optimization Services, LLC, from 2011 to 2015, where he provided custom websites, computational optimization, and technical writing services. He also served as the Assistant to the Chair in the Department of Computer Science and Engineering at Wright State University from 2008 to 2011, where he coordinated curriculum conversion, advised students and faculty, and led accreditation activities. The department had a significant research component, with approximately $875K/year in external funding expenditures.
Dr. Merkle's extensive academic career includes roles as an Assistant Professor at Rose-Hulman Institute of Technology (2002-2008) and the United States Air Force Academy (1999-2002). He holds a Ph.D. in Computer Engineering (1996) and an M.S.C.E. (1992) from the Air Force Institute of Technology, and a B.S. in Computer and Systems Engineering (1987) from Rensselaer Polytechnic Institute.
Education
Ph.D. in Computer Engineering, Air Force Institute of Technology, 1996
M.S.C.E. (Master of Science in Computer Engineering), Air Force Institute of Technology, 1992
B.S. in Computer and Systems Engineering, Rensselaer Polytechnic Institute, 1987
Awards
Academic
(Student Award) Best Presentation, Space Situational Awareness Session, 20th Annual Advanced Maui Optical and Space Surveillance Technologies Conference 2019
Order of the Engineer 2019
Best Poster, 22nd Colloquium for Information Security Systems Education 2018
Who’s Who in Engineering Education 2005-2006
Best Paper, Mechanical Engineering Division, 2005 American Society for Engineering Education Annual Conference & Exposition 2005
USAFA Department of Computer Science Research Excellence Award 2001-2002
Upsilon Pi Epsilon 2001
Winning team of Service Academy Faculty Programming Contest 2000-2001
Technical Editor for United States Air Force Scientific Advisory Board 2000
Eta Kappa Nu 1992
Tau Beta Pi 1992
National Merit Semifinalist 1983
Presidential Scholar 1983
Leadership and Service
AFIT Team Award (QIP Team, 3rd Quarter) 2017
Newcomer Award – Troop Level 2016
Rose-Hulman Institute of Technology Faculty Member of the Week (five times) 2003-2005
Credentialed Space Professional 2004
Outstanding Associate Air Officer Commanding, 2nd Basic Cadet Training 2001
Air Force Achievement Medal 2000
Air Force Meritorious Service Medal 1999
Outstanding Briefing Letter, Squadron Officer School 1994
Air Force Commendation Medal 1991
Air Force Reserve Officer Training Corps Scholarship 1983-1987
Eagle Scout 1984
Publications
Invited Presentations
L. D. Merkle. Computational Complexity and Quantum Algorithms. Wright State University Department of Physics Seminar, 2023.
L. Merkle and M. Doyle. SIGCSE TS 2022 Report. ACM SIGCSE Bulletin, 54, 2 (April 2022), 3-5. https://doi.org/10.1145/3538522.3538525
M. Sherriff, L. Merkle, P. Cutter, A. Monge, J. Sheard. SIGCSE 2021 Technical Symposium Recap. SIGCSE Bulletin, 53, 3 (July 2021), 4–5.
https://doi.org/10.1145/3483403.3483406
C. Laxer, L. D. Merkle, and F. Young. SIGCSE – Who We Are: A Brief History of Conference Registration and Demographics. ACM Inroads, Vol. 9, Issue 4, 2018, pp. 53-54. https://doi.org/10.1145/3231746
L. D. Merkle. Selected Applications of Evolutionary Computation in Computational Science and Engineering. Indiana State University, Department of Life Sciences, 2006.
L. D. Merkle Electronic Voting. Invited panel member, Illiana Information Technology Association, October Meeting, 2004.
L. D. Merkle and J. W. Luginsland. Design Optimization for a Novel Class of High Power Microwave Sources. Proceedings of the 2003 IEEE Congress on Evolutionary Computation, presented in the special session on Evolutionary Design Optimization.
L. D. Merkle. Design Optimization for a Novel Class of High Power Microwave Sources: Incorporating Constraints in a Real-Valued Evolutionary Algorithm. Colloquium presented at various academic institutions, 2001-2002.
G. B. Lamont and L. D. Merkle. Towards Effective Evolutionary Algorithms for Polypeptide Structure Prediction. In G. Fogel and D. W. Corne, editors, Evolutionary Computation in Bioinformatics, 2003.
L. D. Merkle. Fielding expert systems: Really getting them used. Invited panel member, First World Congress on Expert Systems, 1991.
Journal Articles
S. A. Mochoki, M. G. Reith, B. J. Borghetti, G. L. Peterson, J. D. Jasper, L. D. Merkle. Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches. IEEE Transactions on Artificial Intelligence, vol. 6, no. 3, pp. 574-588, March 2025. https://doi.org/10.1109/TAI.2024.3483190
R. Raettig, J. D. Anderson, S. Nykl, L. D. Merkle. Accelerated Point Set Registration Method. The Journal of Defense Modeling and Simulation, 2024. https://doi.org/10.1177/15485129221150454
K. Graham, B. Heitmeyer, C. Rife, P. R. Patel, J. Anderson, S. Nykl, A. C. Lin, L. D. Merkle. Cyber Space Odyssey: A Competitive, Team-Oriented Serious Game in Computer Networking. IEEE Transactions on Learning Technologies, Vol. 13, No. 3, pp. 502-515.
http://dx.doi.org/10.1109/TLT.2020.3008607
A. Chidanandan and L. D. Merkle. Use of Version Control Software in a Project-Based Introductory Computer Architecture Course. Computers in Education Journal, Vol. XVIIII [sic], 2009, No. 3, pp. 38-50. https://doi.org/10.1109/mse.2007.31
J. Holden, R. Layton, L. Merkle, and T. Hudson. Underwater Hacker Missile Wars: A Cryptography and Engineering Contest. Cryptologia, Vol. 30, 2006, pp. 69-77. https://doi.org/10.1080/01611190500401144
M. C. Carlisle and L. D. Merkle. Automated Load Balancing of a Missile Defense Simulation Using Domain Knowledge. Journal of Defense Modeling and Simulation, Vol. 1, Issue 1, April 2004, pp. 59-68. https://doi.org/10.1177/154851290400100105
B. S. Fagin and L. D. Merkle. Measuring the Effectiveness of Robots in Teaching Computer Science. ACM SIGCSE Bulletin, Vol. 35, No. 1, January 2003, pp. 307-311. https://doi.org/10.1145/792548.611994
B. S. Fagin and L. D. Merkle. Quantitative Analysis of the Effects of Robots on Computer Science Education. ACM Journal of Educational Resources in Computing, Vol. 2, No. 4, December 2002, pp. 1-18. https://doi.org/10.1145/949257.949259
A. T. Chamillard and L. D. Merkle. Evolution of an introductory computer science course: the long haul. J. Comput. Sci. Coll. 18, 1 (October 2002), 144-153, 2002.
A. T. Chamillard and L. D. Merkle. Management challenges in a large introductory computer science course. SIGCSE Bull. 34, 1 (February 2002), 252-256, 2002. https://doi.org/10.1145/563517.563440
B. S. Fagin, L. D. Merkle, and T. W. Eggers. Teaching computer science with robotics using Ada/Mindstorms 2.0. Ada Lett. XXI, 4 (December 2001), 73-78, 2001. http://dx.doi.org/10.1145/507546.507592
Conferences (Refereed)
K. E. Wallace, M. K. Roberts, L. A. Hsia, L. D. Merkle, Physically Unclonable Characteristics for Trapped Ion Quantum Processors, National Aerospace & Electronics Conference (NAECON), Dayton, OH, August 2024.
C. Z. Chwa, L. A. Hsia, L. D. Merkle, Quantum Crosstalk as a Physically Unclonable Characteristic for Quantum Hardware Verification, National Aerospace & Electronics Conference (NAECON), Dayton, OH, August 2023.
B. Martin, D. Hodson, L. D. Merkle. Understanding Unity’s ECS Architecture. The 2021 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'21), Las Vegas, NV, July 2021.
L. A. Hsia, L. D. Merkle, D. E. Weeks, G. Vernizzi, M. Y. Lanzerotti, and D. Langley. Physically Unclonable Characteristics for Verification of Transmon-Based Quantum Computers. Government Microcircuit Applications & Critical Technology Conference, 2020.
T. B. Dontigney, L. D. Merkle, R. G. Cobb, J. M. Columbi, and G. B. Lamont. Comparison of Multi-Objective Optimization Algorithms for GEO Space Surveillance Network Architecture Design. 20th Annual Advanced Maui Optical and Space Surveillance Technologies Conference, 2019. https://amostech.com/TechnicalPapers/2019/Space-Situational-Awareness/Dontigney.pdf
L. A. Hsia, L. D. Merkle, G. Vernizzi, M. Y. Lanzerotti, and D. Langley. Hardware Verification and Security for Quantum Computing Systems. Government Microcircuit Applications & Critical Technology Conference, 2019.
A. Grimes, S. Bommer, and L. D. Merkle. The New Faculty Orientation: Using Input for Better Outcomes. 38th Annual Original Lilly Conference on College Teaching, 2018.
I. W. McQuaid, J. Fletcher, L. D. Merkle, R. Cobb, and B. Borghetti. Space Object Identification Using Deep Neural Networks. 19th Annual Advanced Maui Optical and Space Surveillance Technologies Conference, 2018.
M. H. Dunn and L. D. Merkle. Software Security in Direct-Recording Electronic Voting Machines. 13th International Conference on Cyber Warfare and Security, 2018.
M. H. Dunn, L. D. Merkle, et al. Proposed Cybersecurity Merit Badge for the Boy Scouts of America. Poster presented at 49th ACM Technical Symposium on Computer Science Education, 2018. https://doi.org/10.1145/3159450.3162280
M. H. Dunn and L. D. Merkle. Assessing the Impact of a National Cybersecurity Competition on Students’ Career Interests. 49th ACM Technical Symposium on Computer Science Education, 2018. https://doi.org/10.1145/3159450.3159462
B. P. Froberg and L. D. Merkle. Ensuring Android Execution Containers with Formal Methods. 64th Annual Reliability and Maintainability Symposium, 2018.
C. Johnson, M. McGill, D. Bouchard, M. K. Bradshaw, V. A. Bucheli, L. D. Merkle, M. J. Scott, Z. Sweedyk, J. Ángel, Z. Xiao, and M. Zhang. Game Development for Computer Science Education. In Proceedings of the 2016 ITiCSE Working Group Reports (ITiCSE '16). ACM, New York, NY, USA, 23-44, 2016. https://doi.org/10.1145/3024906.3024908
M. Kijowski, L. Merkle and J. Gallagher. Improved Learning in an Evolvable Hardware Hover Controller for an Insect Scale Flapping-Wing Micro Air Vehicle. 2011 IEEE Congress on Evolutionary Computation, 2011.
L. D. Merkle. Automated network forensics. In Proceedings of the 10th annual conference companion on Genetic and evolutionary computation (GECCO '08), Maarten Keijzer (Ed.). ACM, New York, NY, USA, 1929-1932, 2008. http://dx.doi.org/10.1145/1388969.1389001
L. D. Merkle. Metaoptimization of the in-lining priority function for a compiler targeting a polymorphous computing architecture. In Proceedings of the 10th annual conference companion on Genetic and evolutionary computation (GECCO '08), Maarten Keijzer (Ed.). ACM, New York, NY, USA, 1921-1928, 2008. http://dx.doi.org/10.1145/1388969.1389000
A. Chidanandan, R. DeVasher, P. Ferro, D. Fisher, S. Mitra-Kirtley, L. Merkle, D. Mutchler, S. Sexton, M. Simoni, and J. Williams. Work in Progress – Assessing the Impact of Pen-Based Computing and Collaboration-Facilitating Software in the Classroom. Proceedings of Frontiers in Education 2007.
A. Chidanandan, J.P. Mellor, and L. D. Merkle. Design and Implementation of a Minuscule General Purpose Processor in an Undergraduate Computer Architecture Course. 2007 International Conference on Microelectronic Systems Education, 2007.
A. Chidanandan, R. DeVasher, P. Ferro, D. Fisher, S. Kirtley, L. Merkle, D. Mutchler, M. Simoni, S. Sexton, A. Watt, and J. Williams. Evaluating the Symbiosis of DyKnow Software and Pen-Based Computing in the Rose-Hulman Classroom. The Second Workshop on the Impact of Pen-based Technology on Education, 2007.
Z. Chambers, A. Chidanandan, R. DeVasher, L. Merkle, M. Minster, S. Mitra-Kirtley, D. Mutchler, S. Sexton, A. Watt, J. Williams, and M. Zoetewey. What is Beyond the Laptop Initiative? Perhaps: Tablet PCs and DyKnow Vision Software. Proceedings of Frontiers in Education 2006.
L. D. Merkle, M. C. McClurg, M. G. Ellis, and T. G. Hicks-Wright. EA-Based Generation of Compiler Heuristics for Polymorphous Computing Architectures. Presented in the Military and Security Applications of Evolutionary Computation Workshop of the 2006 Genetic and Evolutionary Computation Conference.
E. Borzello and L. Merkle. Multi-Robot Cooperation Using the Ant Algorithm with Variable Pheromone Placement. Proceedings of the 2005 IEEE Congress on Evolutionary Computation.
R. Layton, J. Holden, T. Hudson, and L. Merkle. Underwater Model Rockets: An Innovative Design Problem and Competition for Undergraduate Students in Engineering, Math and Science. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition. Best paper in Mechanical Engineering Division.
L. D. Merkle and D. J. Burns. Hybrid Architectures for Evolutionary Computing Methods: Automated Transfer of Evolutionary Computation Successes to the Evolvable Hardware Domain. Presented in the Military and Security Applications of Evolutionary Computation Workshop of the 2004 Genetic and Evolutionary Computation Conference.
B. S. Fagin and L. D. Merkle. Measuring the Effectiveness of Robots in Teaching Computer Science. Proceedings of the Thirty-Fourth SIGCSE Technical Symposium on Computer Science Education, 2003 (32% acceptance rate).
L. D. Merkle and J. W. Luginsland. Optimization of the signal growth rate in a class of multicavity RKOs with axially varying geometry using a parallel real-valued evolutionary algorithm. Presented at 2000 IEEE International Conference on Plasma Science.
G. E. Sasser, L. D. Merkle, R. E. Peterkin, et al. Virtual prototyping of RF weapons Challenge Project. Proceedings of the 1999 DoD HPC Users Group Meeting.
L. D. Merkle and J. W. Luginsland. Constrained evolutionary optimization of the signal growth rate in an RKO with an axially varying waveguide diameter. Presented at 1999 IEEE International Conference on Plasma Science.
G. E. Sasser, L. D. Merkle, R. E. Peterkin, et al. Virtual prototyping of microwave devices using MHD, PIC, and CEM codes. Proceedings of the 1998 AIAA Conference.
L. D. Merkle, R. E. Peterkin, et al. Virtual prototyping of RF weapons: A DoD Challenge Project. Proceedings of the 1998 DoD HPC Users Group Meeting.
L. D. Merkle, G. H. Gates, Jr., and G. B. Lamont. Scalability of an MPI-based fast messy genetic algorithm. In Caroll et al., ed., Applied Computing 1998: Proceedings of the 1998 Symposium on Applied Computing, New York: The Association for Computing Machinery, 1998.
L. D. Merkle and G. B. Lamont. A random function based framework for evolutionary algorithms. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kauffman, 1997 (49% acceptance rate).
C. E. Kaiser, G. B. Lamont, L. D. Merkle, G. H. Gates, Jr., and R. Pachter. Exogenous parameter selection in a real-valued genetic algorithm. In Proceedings of the Fourth IEEE Conference on Evolutionary Computation, Piscataway New Jersey: IEEE Service Center, 1997.
C. E. Kaiser, L. D. Merkle, G. B. Lamont, G. H. Gates, Jr., and R. Pachter. Case studies in protein structure prediction with real-valued genetic algorithms. In M. Heath et al., ed., Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, Philadelphia, PA: SIAM, 1997.
C. E. Kaiser, G. B. Lamont, L. D. Merkle, G. H. Gates, Jr., and R. Pachter. Polypeptide structure prediction: Polypeptide structure prediction: real-value versus binary hybrid genetic algorithms. In Proceedings of the 1997 ACM symposium on Applied computing (SAC '97), Barrett Bryant, Janice Carroll, Dave Oppenheim, Jim Hightower, and K. M. George (Eds.). ACM, New York, NY, USA, 279-286, 1997.http://dx.doi.org/10.1145/331697.331755
L. D. Merkle, G. H. Gates, Jr., G. B. Lamont, and R. Pachter. Hybrid genetic algorithms for minimization of a polypeptide specific energy model. In Thomas Bäck, Zbigniew Michalewicz, and Hiroaki Kitano, eds., Proceedings of the Third IEEE Conference on Evolutionary Computation, Piscataway New Jersey: IEEE Service Center, 1996.
L. D. Merkle, R. L. Gaulke, G. H. Gates, Jr., G. B. Lamont, and R. Pachter. Hybrid genetic algorithms for polypeptide energy minimization. In Proceedings of the 1996 ACM symposium on Applied Computing (SAC '96), K. M. George, Janice H. Carroll, Dave Oppenheim, and Jim Hightower (Eds.). ACM, New York, NY, USA, 305-311, 1996. http://dx.doi.org/10.1145/331119.331198
G. H. Gates, Jr., R. Pachter, L. D. Merkle, and G. B. Lamont. Simple genetic algorithm parameter selection for protein structure prediction. In David Fogel, editor, Proceedings of the Second IEEE Conference on Evolutionary Computation, Piscataway New Jersey: IEEE Service Center, 1996 (70% acceptance rate).
L. D. Merkle and G. B. Lamont. An initial analysis of data parallelism in the fast messy genetic algorithm. In E. Deaton et al., eds., Applied Computing 1994: Proceedings of the 1994 Symposium on Applied Computing, New York: The Association for Computing Machinery, 1994.
Laurence D. Merkle and Gary B. Lamont. 1994. An initial analysis of data parallelism in the fast messy genetic algorithm. In Proceedings of the 1994 ACM symposium on Applied computing (SAC '94). ACM, New York, NY, USA, 488-492, 1994. (34% acceptance rate) http://dx.doi.org/10.1145/326619.326820
Other
L. D. Merkle. Quantum Circuit Optimization Exploiting Certain Three-Layer Transpositions. Poster accepted for AFRL Discover conference. Not presented due to schedule conflict,2024.
Grauberger C, Hsia L, Merkle LD. Quantum Circuit Reduction Using 3-Layer Transposition. Purdue Military Research Institute Inaugural Military & Security Research Symposium. West Lafayette, IN, 26 June 2023. https://doi.org/10.5703/1288284317732
Wang, J, Hsia L, Merkle LD. Equivariant Decoders for Quantum LDPC Codes. Purdue Military Research Institute Inaugural Military & Security Research Symposium. West Lafayette, IN, 26 June 2023. https://doi.org/10.5703/1288284317732
L. Merkle. System-Level Quantum Error Mitigation. AFIT Engineer, June, 2023. https://www.afit.edu/docs/AFIT Engineer_Jun2023_web.pdf
L. D. Counting Possible Quantum Circuit Layers. Presented in the AFIT QIS Weekly Seminar, 2022.
L. D. Merkle, et al. Applications of Deep Neural Networks and Evolutionary Optimization in Space Situational Awareness. Presented to Distinguished Review Board of Center for Space Research and Assurance, 2019.
L. D. Merkle. Presented at AFRL/AFIT Summit, 2019.
L. D. Merkle. Introduction to Quantum Complexity. Presented in the AFIT QIS Weekly Seminar, 2019.
L. D. Merkle. Application of the Quantum Approximate Optimization Algorithm to a Two-Variable Constraint Satisfaction Problem. Presented in the AFIT QIS Weekly Seminar, 2019.
J. A. Switzler, B. K. Kamaka, L. A. Hsia, L. D. Merkle. Beginner’s Guide to Quantum Computing. Presented in the Cyber-ANiMaL Weekly Seminar, 2019.
L. D. Merkle. Introduction to the Quantum Approximate Optimization Algorithm. Presented in the AFIT QIS Weekly Seminar, 2019.
A. E. Grimes and L. D. Merkle. The New Faculty Orientation as Professional Development. Presented at Air Force Learning Professionals Consortium, 2019.
K. M. Hopkinson and L. D. Merkle. Network Science, Critical Infrastructure Protection, Applied Machine Learning, and Quantum Computing. Presented at IN-US JTG C4I Workshop, 2018.
M. H. Dunn, R. J. Caruso, P. T. Craven, L. Frost, L. D. Merkle, J. M. Pittman, and R. Trygstad. Proposed Cybersecurity Merit Badge for the Boy Scouts of America. Poster presented at 22nd Colloquium for Information Systems Security Education, 2018. Best Poster Award.
M. H. Dunn and L. D. Merkle. The Role of Extracurricular Activities in Cybersecurity Education. Presented at the New Approaches to Cybersecurity Education Workshop. 2018.
L. D. Merkle. Examples of DyKnow Usage in Computer Architecture I. Presented in Assessing the Impact of Pen-based Computing and Collaboration-facilitating Software on Student Learning, Best Assessment Processes IX Pre-symposium Showcase organized by J. Williams, 2007.
L. D. Merkle. Evolutionary computation in polymorphous computing architectures: Metaoptimization of the Scale in-lining priority function for TRIPS. Final Performance Report, Grant FA8750-05-1-0019, Report Number 07-129-0153, Prepared for Air Force Research Laboratory, 26 Electronic Parkway, Rome, NY 13441-4514, 2007.
L. D. Merkle, M. C. McClurg, and M. G. Ellis. Evolutionary Computation in Polymorphous Computing Architectures. Presented at the DARPA Polymorphous Computing Architectures Principal Investigators’ Meeting, March 2006.
L. D. Merkle, M. G. Ellis, and M. C. McClurg. Evolutionary Computation in Polymorphous Computing Architectures. Presented at the DARPA Polymorphous Computing Architectures Principal Investigators’ Meeting, August 2005.
L. D. Merkle, M. G. Ellis, Tyler G. Hicks-Wright, and M. C. McClurg. Evolutionary Computation in Polymorphous Computing Architectures. Presented at the DARPA Polymorphous Computing Architectures Principal Investigators’ Meeting, March 2005.
L. D. Merkle. Evolutionary Computation in Polymorphous Computing Architectures. Presented to Advanced Computing Architectures Branch of Air Force Research Laboratory, 2005.
L. D. Merkle and K. May. Parallel and Embedded Hardware Implementations of an Evolutionary Computing Optimization Method. Presented to Advanced Computing Architectures Branch of Air Force Research Laboratory, 2004.
L. D. Merkle. Design Optimization for a Novel Class of High Power Microwave Sources Using a Farming Model Parallelization of a Real-Valued Evolutionary Algorithm. Presented at Rose-Hulman Institute of Technology, Parallel Computing Seminar Series, 2003.
A. T. Chamillard and L. D. Merkle. Evolution of an Introductory Computer Science Course: The Long Haul. Presented at the 2002 Rocky Mountain Conference of the Consortium for Computing in Small Colleges.
L. D. Merkle and J. W. Luginsland. Design Optimization for a Novel Class of High Power Microwave Sources: Incorporating Constraints in a Real-Valued Evolutionary Algorithm. Presented at the 2002 Annual Meeting of the American Physical Society Division of Computational Physics.
L. D. Merkle, M. C. Carlisle, J. W. Humphries, and D. W. Lopez. EA-based approach for detecting stealthy attacks. Presented at the 2002 IEEE Workshop on Information Assurance.
L. D. Merkle, J. W. Luginsland. Evolutionary optimization of the signal growth rate in an RKO. Presented at the 1999 High Power Microwave Conference.
L. D. Merkle, J. W. Luginsland. Feasibility of relativistic klystron oscillator design optimization using a real-valued evolutionary algorithm. Presented at the 40th Annual Meeting of the Division of Plasma Physics, 1998.
D. Keefer, M. H. Frese, L. D. Merkle, R. E. Peterkin, Jr., N. F. Roderick, and K. F. Stephens. Opening mechanisms in an explosively formed fuse opening switch. Presented at the VIIIth Megagauss Conference, 1998.
L. D. Merkle, R. E. Peterkin, Jr., et al. DoD HPC challenge project: Virtual prototyping of RF weapons. Presented at the 8th DoD High Performance Computing Users Group Conference, 1998.
D. Keefer, M. H. Frese, L. D. Merkle, R. E. Peterkin, Jr., N. F. Roderick, and K. F. Stephens. MACH2 simulation of an Explosively Formed Fuse Opening Switch. Presented at the 1998 IEEE International Conference on Plasma Science, 1998.
R. E. Peterkin, Jr., L. D. Merkle. Two-dimensional simulations of repetitive pulsed laser interactions with solid targets in air. Presented at the 1998 IEEE International Conference on Plasma Science, 1998.
J. J. Watrous, G. E. Sasser, J. W. Luginsland, L. D. Merkle. Three-dimensional particle-in- cell simulations of the relativistic klystron oscillator. Presented at the 1998 IEEE International Conference on Plasma Science, 1998.
L. D. Merkle, R. E. Peterkin, Jr. Three-temperature MHD calculation of the critical surface of laser absorption in laser induced plasmas. Presented at the 39th Annual Meeting of the Division of Plasma Physics, 1997.
L. D. Merkle, G. H. Gates, Jr., and G. B. Lamont. An MPI implementation of the fast messy genetic algorithm. In Proceedings of the Intel Supercomputer Users' Group 1997 Annual North America Users Conference, Beaverton, Oregon: Intel Supercomputer Systems Division, 1997.
C. E. Kaiser, L. D. Merkle, G. B. Lamont, G. H. Gates, Jr., and R. Pachter. Stochastic methods for prediction of modified polypetides. Presented at the First Annual International Conference on Computational Molecular Biology, 1997.
C. E. Kaiser, L. D. Merkle, and G. B. Lamont. Real-valued hybrid genetic algorithms for polypeptide structure prediction. Presented at the 28th Central Regional Meeting of the American Chemical Society, 1996.
G. H. Gates, Jr., R. Pachter, L. D. Merkle, C. E. Kaiser, and G. B. Lamont. Hybrid genetic algorithms and Monte-Carlo with minimization as applied to polypeptide structure determination. Presented at the 28th Central Regional Meeting of the American Chemical Society, 1996.
G. H. Gates, Jr., R. Pachter, L. D. Merkle, and G. B. Lamont. Parallel simple vs. fast messy GAs for protein structure prediction. In Proceedings of the Intel Supercomputer Users' Group 1995 Annual North America Users Conference, Beaverton, Oregon: Intel Supercomputer Systems Division, 1995.
G. H. Gates, Jr., L. D. Merkle, R. Pachter, G. B. Lamont, and W. W. Adams. Polypeptide energy minimization using the parallel fast messy genetic algorithms. Polym. Prepr. 36, 647-648, 1995.
L. D. Merkle, G. H. Gates, Jr., G. B. Lamont, and R. Pachter. Conformational search using a parallel fast messy GA with migration and parallel selection. Presented at the 209th National Meeting of the American Chemical Society, 1995.
L. D. Merkle, G. H. Gates, Jr., G. B. Lamont, and R. Pachter. Application of the parallel fast messy genetic algorithm to the protein folding problem. In Proceedings of the Intel Supercomputer Users' Group 1994 Annual North America Users Conference. Beaverton Oregon: Intel Supercomputer Systems Division, 1994.
G. H. Gunsch, D. E. Dyer, M. J. Gerken, L. D. Merkle, and M. A. Whelan. Autonomous agents as air combat simulation adversaries. In U. Fayyad and R. Uthurusamy, eds., In Proc. SPIE Vol. 1963, p. 50-60, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, 1993.
D. J. Brinkman, L. D. Merkle, G. B. Lamont, and R. Pachter. Parallel genetic algorithms and their application to the protein folding problem. In J. Wold, ed., Proceedings of the Intel Supercomputer Users' Group 1993 Annual North America Users' Conference, Beaverton Oregon: Intel Supercomputer Systems Division, 1993.
A. Dymek, L. D. Merkle, and G. B. Lamont. Parallelization of standard and messy genetic algorithms. In Proceedings of the Intel Supercomputer Users' Group 1992 Annual Users' Conference, Beaverton Oregon: Intel Supercomputer Systems Division, 1992.
D. H. Merkle, and L. D. Merkle. High Frequency Analysis of Circular Arches. Air Force Weapons Laboratory Technical Report AFWL-TR-86-22, 1986.