Welcome to ROARS (Research on Automated Reasoning Systems) Lab at George Mason University.
We design and build software analysis tools with automated reasoning at their core. See Research for more information.
News
- 4/2025: Demystifying PhD Admissions in Computer Science is now published and available through Amazon Kindle (the book pdf will always be free through GitHub).
- 4/2025: Two ISSTA'25 TOOL papers on LSP support for the COOL language (π Linhan, first paper) and VS Code support for invariant generation and symbolic execution (π Stefania, first paper)
- 4/2025: Elevated to IEEE Senior Member
- 4/2025: CAV'25 paper on the NeuralSAT DNN verification tool (π Hai)
- 2/2025: TSE paper (50th Anniversary Special Issue) on Evolution of APR
- 2/2025: π
TSE 10-Year Retrospective Most Influential Paper Award for GenProg work on automatic program repair (with Claire, Wes, and Steph)
- 1/2025: NeuralSAT ranked 2nd overall in VNN-COMP'24 (our second participation, π Hai).
Note: Initially VNN-COMP's script was not able to correctly parsed the output results of NeuralSAT. After fixing the issue, NeuralSAT's results were correctly parsed and NeuralSAT is placed 2nd in VNN-COMP'24. The updated VNN-COMPβ24 report shows the updated rankings (e.g., Table B.1) and detailed results in Appendix B.
- 1/2025: ICSE'25 NIER paper on LLM-based autoformalization for LEAN (π Long, first paper)
Older News
- 8/2024: Appointed Director of the MS Software Engr program
- 8/2024: Promoted to Associate Professor with tenure
- 6/2024: π Received an NSF Collaborative Formal Methods in the Field (FMitF) Grant
- 5/2024: π
Outstanding Undergraduate Research Award from GMU (π Stefania)
- 4/2024: Nguyen and Long joined as PhD students
- 3/2024: Stefania joined as a undergraduate researcher
- 2/2024: FSE'24 research paper on new optimizations developed for the NeuralSAT DNN verification tool (π Hai, first research paper as first author)
- 1/2024: NeuralSAT ranked 4th overall and received the New Participant Award at VNN-COMP'23 (our first participation). It also won the
tllverifybench
category (π Hai and Linhan)
- 1/2024: Huong joined as a undergraduate researcher
- 11/2023: π Thanksgiving party!!!
- 8/2023: NeuralSAT ranked 4th overall in the annual Verifying Neural Network competition VNN-COMP'23 (our first participation, π Hai and Linhan)
- 8/2023: FSE SRC (Student Research Competition) paper on dynamic complexity analysis (π Didier)
- 8/2023: FSE'23 Industry paper on fault localization
- 7/2023: π Received an NSF Formal Methods in the Field (FMitF) Grant
- 7/2023: π A handbook for demystifying the Ph.D. admission process in Computer Science in the US
- 6/2023: SIGBED blog on NeuralSAT
- 5/2023: π
Outstanding Undergraduate Senior Award from UNL CSE (π KimHao)
- 3/2023: π Received an Amazon Research Award. Press: Amazon Science, GMU
- 1/2023: π Received the NSF CAREER Award to work on DNN verification. Press: GMU, BΓ‘o Thanh NiΓͺn (Vietnamese)
- 12/2022: ICSE SEIP paper on shift left static analysis (π KimHao)
- 11/2022: π Thanksgiving party!!!
- 11/2022: SIGMOD'23 research paper on using graph neural networks to analyze IoT interactive bugs
- 8/2022: π Start of the semester party!!!
- 8/2022: Hai joined as a Ph.D. student
- 7/2022: ASE'22 research paper on feed-back driven iterative Alloy repair (π Guolong)
- 4/2022: π Guolong defended his dissertation on Alloy analysis (first Ph.D. alumni of the group!)
- 4/2022: ISSTA'22 research paper on template-based Alloy repair (π Guolong)
- 1/2022: Two ICSE Tool papers on complex analysis (π Didier) and invariant generation (π KimHao and Hai)
- 1/2022: ICSE SEIP paper on analyzing CMake build scripts (π KimHao)
- 1/2022: Linhan joined as a Ph.D. student
- 12/2021: ICSE NIER paper on Graph Neural Networks analysis
- 9/2021: OOPSLA'21 research paper on capturing runtime complexity of recursive programs (π Didier and KimHao)
- 9/2021: TSE'21 journal paper on symbolic states and dynamic invariant inference (π KimHao)
- 8/2021: π Received a gift from Meta/Facebook to work on build systems and symbolic execution
- 8/2021: π Received an NSF Collaborative (Medium) Grant to dynamically analyze program liveness and safety properties
- 8/2021: π Farewell party!!!
- 7/2021: Three ASE Tool papers (π KimHao and Guolong)
- 6/2021: π Moving to George Mason University (Fall'21)
- 5/2021: π
Outstanding Undergraduate Research Assistant Award from UNL CSE (π KimHao)
- 5/2021: π Alexey defended his Master's thesis
- 4/2021: π
KimHao received the Top Presentation Award on analyzing configurable systems at the Nebraska Student Research Days
- 12/2020: Three research papers accepted at ICSE'21 on inferring interactions in
configurable software and debugging and repairing Alloy specifications (π KimHao and Guolong)
- 12/2020: π Received a Faculty Seed Grant Award from UNL
- 10/2020: OOPSLA'20 research paper on using dynamically inferred nonlinear invariants to prove program termination and non-termination
- 9/2020: π UCare Award from UNL and the Garmin Scholarship Award (π KimHao)
- 8/2020: FSE SEAD workshop paper on using recurrence relations to analyze program complexity (π Alexey and Didier)
- 7/2020: ICSME NIER paper on using symbolic execution to analyze the Linux build system (π KimHao)
- 7/2020: ICSME Doctoral Symposium paper on Alloy fault
localization and repair (π Guolong)
- 3/2020: π Received the NSF CISE Research Initiation Initiative (CRII) Award on analyzing the Linux build system.
Press: UNL
- 3/2020: KimHao (freshman) joined as an undergraduate researcher
- 1/2020: Alexey joined as an M.S. student
- 9/2019: OOPSLA'19 research paper on using algebraic specifications to aid program synthesis
- 9/2019: Didier joined as a Ph.D. student
- 6/2019: π
π
Received an ACM SIGSOFT 10-year Most Influential Paper Award at ICSE
(Software Engr) on program repair. Also an ACM SIGEVO 10-year Impact Award
at GECCO (Evolutionary Computing) on using genetic programming to fix
bugs
- 3/2019: PLDI'19 research paper on dynamic invariant inference in separation logic (π Guolong)
- 1/2019: π Received a 3-year grant from the Army Research Office to work on program errors prediction and avoidance
People
Lab activities/photos
Alumni
- KimHao Nguyen (B.S., graduated 2023, Jump Trading)
- Guolong Zheng (Ph.D., graduated 2022, A10 Networks)
- Alexey Malyshev (M.S., graduated 2021, Oracle)
Join us: Interested in our research in safe and robust AI and software analysis?
- Read "Should you contact a US professor? How to do so correctly?" from the CS PhD Admission Demystify Handbook. Also read why you would want to join CS@GMU.
- Email the following:
- Why are you interested in working with us? Be as specific as possible, e.g., you have read our papers or if you have worked on something related, discuss them.
We will not read or reply to your email if it is generic (i.e., could be sent to multiple professors)
- Do the following programming assignments PA1 and PA2. Email all solutions in a zip file. This gives you a sense on what background you would need and allows us to evaluate your skills.
- Put "Roars Lab Applicant" in the subject line of the email
- Send your email using plain text (no colors or fancy fonts). Do not send your transcript, GRE, or any other scores.
- Note that we might not be able to respond to all mails received, especially those that might not fit our lab. However, we still encourage you to apply to GMU (why?) and mention our lab in your SOP.
Awards
Press Release
Teaching
Previous
-
AI Safety and Assurance: CS 695
-
Compilers: CSCE 425/825
(student feedback)
-
Software Testing, Verification, and Analysis: CSCE 467/867
(student feedback)
- Automata, Computation, and Formal Languages
-
Software Engineering II (Specification and analysis of complex software systems)
-
Software Verification (or Ensuring Software Dependability) Seminar: CSCE 990
Research
Software Engineering; Formal Methods; Programming Languages; Automated Reasoning; Program Analysis; Program Verification; Dynamic and Static Analysis; SMT/SAT Solving
- Safe and Robust AI: we are exploring scalable and precise techniques
to formally analyze and verify deep neural networks (DNNs).
- Program Analysis and Invariants Discovery: we have developed dynamic, static, and
symbolic techniques to analyze program semantics and to discover and prove interesting properties.
- Fault Localization and Automated Program Repair: we have developed techniques and tools to automatically identify code region responsible program bugs and modify existing or creating new code to repair the bugs.
- LSP-based IDEs: we create extension to bring automated reasoning capabilities to IDEs such as VSCode.
- NeuralSAT: A high-performance deep neural network (DNN) verification tool.
- DIG: A numerical invariant generation tool, focusing on nonlinear polynomials
More
- NLA-Digbench: this
SV-COMP benchmark contains various program with nonlinear invariants and properties.
- Solving NP-Complete problems
- AntColor: an ant-based heuristics for the graph coloring problem and its generalizations
- AMC: a fast, parallel ant-based algorithm for the maximum clique problem
- NP Benchmarks: a comprehensive collection of benchmarks (in DIMACS format) for various NP-Complete problems including graph coloring, maximum clique, vertex cover, and spanning tree
Publications
Miscs Writing
Unpublished/Under Submission
- Hai Duong, ThanhVu Nguyen, Matthew Dwyer, A DPLL(T) Framework for Verifying Deep Neural Networks, Arxiv
- Yuandong Cyrus Liu, Ton-Chanh Le, Timos Antonopoulos, Eric Koskinen, ThanhVu Nguyen, DrNLA: Extending Verification to Non-linear Programs through Dual Re-writing, Arxiv
Published/To-appear Papers
- Emphasized author names: Roars' students
- Bold conference or journal names: full technical papers at top conferences or journals
- Stefania Piciorea and Thanhvu Nguyen.
Bringing Invariant Analysis to modern IDEs: The DIG+ Extension for VS Code.
ISSTA-Tool Demo, 2025
- Linhan Li and ThanhVu Nguyen.
COOLer: A Language Support Extension for COOL in VS Code.
ISSTA-Tool Demo, 2025
- Hai Duong, ThanhVu Nguyen, Matthew Dwyer.
NeuralSAT: A High-Performance Verification Tool for Deep Neural Networks.
Computer Aided Verification (CAV), 2025
- Claire Le Goues, ThanhVu Nguyen, Stephanie Forrest, and Westley Weimer. The Evolution of Automated Software Repair.
Transactions on Software Engineering (TSE), 2025
- Long Doan and ThanhVu Nguyen.
AI-Assisted Autoformalization of Combinatorics Problems in Proof Assistants.
International Conference on Software Engineering- New Idea and Emergining Results (ICSE-NIER), 2025
- Hai Duong, Dong Xu, ThanhVu Nguyen, Matthew Dwyer.
Harnessing Neuron Stability to Improve DNN Verification,
Foundations of Software Engineering (FSE). 859--881, 2024
- Didier Ishimwe. Inferring Complexity Bounds from Recurrence Relations.
Foundations of Software Engineering (Student Research Competition). 2023
- Tung Dao, Na Meng, and ThanhVu Nguyen.
Triggering Modes in Spectrum-Based Multi-Location Fault Localization,
Foundations of Software Engineering (FSE) Industry Track. 1774--1785, 2023
- ThanhVu Nguyen and Hai Duong.
NeuralSAT: A CDCL-based constraint solving approach to DNN Verification.
SIGBED Blog, 2023
- Quoc-Sang Phan, KimHao Nguyen, ThanhVu Nguyen.
Challenges in Shift Left Static Analysis,
International Conference on Software Engineering-Software Engineering in Practice (ICSE-SEIP), 340--342, 2023
- Guangjing Wang, Nikolay Ivanov, Bocheng Chen, Qi Wang, ThanhVu Nguyen, Qiben Yan,
Graph Learning for Interaction Analysis in Smart Home Rule Data,
ACM SIGMOD,1--27, 2023
- SimΓ³n GutiΓ©rrez Brida, GermΓ‘n Regis, Guolong Zheng,
Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, and Marcelo F. Frias.
ICEBAR: Feedback-Driven Iterative Repair of Alloy Specifications,
Automated Software Engineering (ASE), pages 1--13, 2022
- Guolong Zheng, ThanhVu Nguyen, SimΓ³n GutiΓ©rrez Brida,
GermΓ‘n Regis, Marcelo F. Frias, Nazareno Aguirre, and Hamid Bagheri.
ATR: Template-based Repair for Alloy Specifications,
International Symposium on Software Testing and Analysis (ISSTA), pages 666--677, 2022
- KimHao Nguyen, ThanhVu Nguyen, and Quoc-Sang Phan.
Analyzing the CMake Build System.
International Conference on Software Engineering-Software Engineering in Practice (ICSE-SEIP), pages 27--28, 2022
- Thanh-Dat Nguyen, Thanh Le Cong, ThanhVu Nguyen, Bach Le, and Huynh Quyet Thang.
Toward the Analysis of Graph Neural Network.
International Conference on Software Engineering- New Idea and Emergining Results (ICSE-NIER), pages 116β-120, 2022
- Didier Ishimwe, KimHao Nguyen, and ThanhVu Nguyen.
Dynaplex: Inferring Asymptotic Runtime Complexity of Recursive Programs.
International Conference on Software Engineering- Tool Demo, pages 61--64, 2022
- ThanhVu Nguyen, KimHao Nguyen, and Hai Duong.
SymInfer: Inferring Numerical Invariants using Symbolic States.
International Conference on Software Engineering-Tool Demo, pages 197--201, 2022
- Didier Ishimwe, KimHao Nguyen, and ThanhVu Nguyen.
Dynaplex: Analyzing Program Complexity using Dynamically Inferred Recurrence Relations,
Proc. ACM Program. Lang. (OOPSLA), pages 1--23, 2021
- ThanhVu Nguyen, KimHao Nguyen, Matthew Dwyer.
Using Symbolic States to Infer Numerical Invariants,
Transactions on Software Engineering (TSE), 2021
- KimHao Nguyen and ThanhVu Nguyen.
GenTree: Using Decision Trees to Learn Interactions for Configurable Software.
International Conference on Software Engineering (ICSE), pages 1598β-1609,
2021. Artifact Evaluation
- Guolong Zheng, ThanhVu Nguyen, SimΓ³n GutiΓ©rrez Brida,
GermΓ‘n Regis, Marcelo F. Frias, Nazareno Aguirre, and Hamid Bagheri,
FLACK: Counterexample-Guided Fault Localization for Alloy Models,
International Conference on Software Engineering (ICSE), pages 637-β648, 2021.
Artifact Evaluation
- SimΓ³n GutiΓ©rrez Brida, GermΓ‘n Regis, Guolong Zheng,
Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, and Marcelo F. Frias.
Bounded Exhaustive Search of
Alloy Specification Repairs,
International Conference on Software Engineering (ICSE), pages 1135β-1147, 2021.
Artifact Evaluation
- KimHao Nguyen and ThanhVu Nguyen. GenTree: Inferring
Configuration
Interactions using Decision Trees. Automated Software Engineering
(ASE Tool paper), 2021.
- Guolong Zheng, ThanhVu Nguyen, SimΓ³n GutiΓ©rrez Brida,
GermΓ‘n Regis, Marcelo F. Frias, Nazareno Aguirre, and Hamid Bagheri,
FLACK: Localizing Faults in Alloy Models,
Automated Software Engineering (ASE Tool paper), 2021.
- SimΓ³n GutiΓ©rrez Brida, GermΓ‘n Regis, Guolong Zheng,
Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, and Marcelo F. Frias.
BeAFix: An Automated Repair Tool for
Faulty Alloy Models,
Automated Software Engineering (ASE Tool paper), 2021.
- Ton Chanh Le, Timos Antonopoulos, Parisa Fathololumi, Eric
Koskinen, and ThanhVu Nguyen. DynamiTe: Dynamic Termination and
Non-termination Proofs. Proc. ACM Program. Lang.
(OOPSLA), vol 4, pages 1β30, 2020.
- ThanhVu Nguyen, Didier Ishimwe, Alexey
Malyshev, Timos Antonopoulos, and Quoc-Sang Phan. Using
Dynamically
Inferred Invariants
to Analyze Program Runtime Complexity. Foundations of Software
Engineering, Workshop on Software Security from Design to Deployment
(FSE SEAD), pages 11β14, 2020.
- Guolong Zheng, Hamid Bagheri and Thanhvu Nguyen. Debugging
Declarative Models in
Alloy. International Conference on Software Maintenance and
Evolution, Doctoral Symposium (ICSME), pages 844β848, 2020.
- ThanhVu Nguyen and KimHao Nguyen. Using Symbolic
Execution to
Analyze
Linux KBuild Makefiles. International Conference on Software
Maintenance and Evolution, New Ideas and Emerging Results (ICSME NIER),
pages 712β-716, 2020.
- Benjamin Mariano, Josh Reese, Siyuan Xu, ThanhVu Nguyen, Xiaokang
Qiu, Jeffrey S. Foster, and Armando Solar-Lezama. Program
Synthesis with
Algebraic
Library Specifications. Proc. ACM Program. Lang.
(OOPSLA), vol 3, pages 1β25, 2019.
- Ton Chanh Le, Guolong Zheng, and ThanhVu Nguyen. SLING:
Using Dynamic
Analysis to Infer
Program Invariants in Separation Logic.
Programming Language Design and Implementation (PLDI), pages 788β-801. ACM,
2019.
- Guolong Zheng, Quang Loc Le, ThanhVu Nguyen, and
Quoc-Sang Phan. Automatic data
structure repair using separation logic. Java PathFinder Workshop,
pages 66β-66, 2018.
- Paul Gazzillo, Ugur Koc, Thanhvu Nguyen, and Shiyi Wei. Localizing
Configurations in
Highly-Configurable Systems. International Systems and Software
Product Line Conference, Challenge Track (SPLC), pages 269β-273,
2018.
- ThanhVu Nguyen, Timos Antopoulos, Andrew Ruef, and Michael Hicks.
A Counterexample-guided
Approach to Finding Numerical Invariants. Foundations of
Software Engineering (FSE), pages 605β-615. ACM, 2017.
- ThanhVu Nguyen, Matthew Dwyer, and William Visser.
SymInfer: Inferring Program Invariants using Symbolic States.
Automated Software Engineering (ASE), pages 804β-814. IEEE, 2017.
- ThanhVu Nguyen, Deepak Kapur, Westley Weimer, and Stephanie
Forrest. Connecting Program
Synthesis and Reachability: Automatic Program Repair using Test-Input
Generation. International Conference on Tools and Algorithms
for the Construction and Analysis of Systems (TACAS), pages
301β-318. Springer, 2017.
- ThanhVu Nguyen, Ugur Koc, Javran Cheng, Jeffrey S. Foster, and
Adam A. Porter. iGen: Dynamic
Interaction Inference for Configurable Software. Foundations
of Software Engineering (FSE), pages 655β-665. ACM,
2016.
- ThanhVu Nguyen, Deepak Kapur, Westley Weimer, and Stephanie
Forrest. DIG: A Dynamic Invariant
Generator for Polynomial and Array Invariants. Transactions
on Software Engineering Methodology (TOSEM), 23(4):30:1β-30:30,
2014.
- ThanhVu Nguyen, Deepak Kapur, Westley Weimer, and Stephanie
Forrest. Using Dynamic Analysis to
Generate Disjunctive Invariants. International Conference on
Software Engineering (ICSE), pages 608-β619. IEEE,
2014.
- Deepak Kapur, Zhihai Zhang, Matthias Horbach, Hengjun Zhao, Qi
Lu, and ThanhVu Nguyen. Geometric
Quantifier Elimination Heuristics for Automatically Generating Octagonal
and Max-plus Invariants. Automated Reasoning and Mathematics (Essays
Memory of William W. McCune), volume 7788, pages 189β-228. Springer,
2013.
- Claire Le Goues, ThanhVu Nguyen, Stephanie Forrest, and Westley
Weimer. GenProg: A Generic Method
for Automated Software Repair. Transactions on Software
Engineering (TSE), 38(1):54β-72, 2012.
- π
IEEE TSE 50th Anniversary Retrospective Most Influential Paper Award
- ThanhVu Nguyen, Deepak Kapur, Westley Weimer, and Stephanie
Forrest. Using Dynamic Analysis to
Discover Polynomial and Array Invariants. International
Conference on Software Engineering (ICSE), pages 683β-693. IEEE,
2012.
- π
ACM SIGSOFT Distinguished Paper Award
- Westley Weimer, Stephanie Forrest, Claire Le Goues, and ThanhVu
Nguyen. Automatic Program
Repair with Evolutionary Computation. Communications of the
ACM (CACM), 53(5):109β-116, 2010.
- Thang Bui, ThanhVu Nguyen, and Joseph Rizzo. Parallel Shared
Memory
Strategies For
Ant-based Optimization Algorithms. Conference on Genetic and
Evolutionary Computation (GECCO), pages 1β8. ACM, 2009.
- Stephanie Forrest, Westley Weimer, ThanhVu Nguyen, and Claire Le
Goues. A Genetic Programming
Approach to Automated Software Repair. Conference on Genetic
and Evolutionary Computation (GECCO), pages 947-β954. ACM,
2009.
- π
Best Paper Award
- π
ACM SIGEVO 10-year Impact Award
- Westley Weimer, ThanhVu Nguyen, Claire Le Goues, and Stephanie
Forrest. Automatically
Finding Patches Using Genetic Programming. International
Conference on Software Engineering (ICSE), pages 364-β367. IEEE,
2009.
- π
ACM SIGSOFT Distinguished Paper Award
- π
Manfred Paul Award for ExcellenceSoftware: Theory and
Practice
- π
ACM SIGSOFT 10-year Most Influential Paper Award
- ThanhVu Nguyen, Westley Weimer, Claire Le Goues, and Stephanie
Forrest. Using Execution Paths to
Evolve Software Patches. International Conference on Software
Testing, Verification and Validation Workshops (ICST), pages 152-β153.
IEEE, 2009.
- π
Best Short Paper Award and Best Presentation Award
- Thang Bui, ThanhVu Nguyen, Chirag Patel, and Kim-Anh Phan.
An Ant-based Algorithm for Coloring Graphs.
Discrete Applied Mathematics, 156(2):190-β200, 2008.
- James Smith, III and ThanhVu Nguyen.
Fuzzy Decision Trees for
Planning and Autonomous Control of a Coordinated Team of UAVs.
International Society for Optical Engineering. SPIE, May 2007.
- James Smith, III and ThanhVu Nguyen. Autonomous and
Cooperative
Robotic Behavior Based on Fuzzy Logic and Genetic Programming.
Integrated Computer-Aided Engineering, 14(2):141-β159, 2007.
- James Smith, III and ThanhVu Nguyen.
Genetic Program based Data Mining
of Fuzzy Decision Trees and Methods of Improving Convergence and
Reducing Bloat.
International Society for Optical Engineering. SPIE,
2007.
- G Viamontes, M Amduka, J Russo, Craven M, and T Nguyen. Efficient
Memoization
Strategies for Object Recognition with a Multi-Core Architecture.
Annual High Performance Embedded Computing Workshop (HPEC). IEEE,
2007.
- π
Outstanding Submission
- Thang Bui and ThanhVu Nguyen. An Agent-based Algorithm for
Generalized
Graph Colorings. Conference on Genetic and Evolutionary
Computation (GECCO), pages 19β-26. ACM, 2006.
- Erdos number: 4 (through Thang N. Bui)
- James Smith, III and ThanhVu Nguyen. Genetic Program based Data
Mining to
Reverse Engineer Digital Logic. International Society for Optical
Engineering, pages 24-β35. SPIE, 2006.
- James Smith, III and ThanhVu Nguyen. Resource Manager for an
Autonomous
Coordinated Team of UAVs. International Society for Optical
Engineering, pages 118-β129. SPIE, 2006.
- James Smith, III and ThanhVu Nguyen. Creating Fuzzy Decision
Algorithms
Using Genetic Program Based Data Mining Program. Annual Meeting of
the North American Fuzzy Information Processing Society (NAFIPS), pages
471-β477. IEEE, 2006.
- James Smith, III and ThanhVu Nguyen. Fuzzy Logic Based Resource
Manager for
a Team of UAVs. Annual Meeting of the North American Fuzzy
Information Processing Society (NAFIPS), pages 463β-470. IEEE,
2006.
- James Smith, III and ThanhVu Nguyen. Fuzzy Logic Based UAV
Allocation and
Coordination. International Conference on Informatics in Control
Automation and Robotics (ICINCO), pages 81-β94. Springer, 2006.
- James Smith, III and ThanhVu Nguyen. Evolutionary Data
Mining
Approach to Creating Digital Logic. International Conference on
Informatics in Control Automation and Robotics (ICINCO), pages 107-β113.
Springer, 2006.
- James Smith, III and ThanhVu Nguyen. Guiding Genetic Program
Based Data
Mining Using Fuzzy Rules. Intelligent Data Engineering and Automated
Learning (IDEAL), pages 1337β-1345. Springer, 2006.
- James Smith, III and ThanhVu Nguyen. Data Mining based Automated
Reverse
Engineering and Defect Discovery. International Society for Optical
Engineering, pages 232β-242. SPIE, 2005.
- James Smith, III and ThanhVu Nguyen. Distributed Autonomous
Systems:
Resource Management, Planning, and Control Algorithms. International
Society for Optical Engineering, pages 65β-76. SPIE, 2005.
Dissertations
Acknowledgement
Our work has been generously supported by NSF, Army Research Office, Amazon, Facebook, UNL, and GMU. Thank you!
George Mason University
Nguyen Engineering Building #4430
4400 University Drive
Fairfax, VA 22030
π¬ Email: info at roars dot dev