2024 Publications

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Nguyen, A. D., Pham, L., Lindsay, N., Sun, L., Tran, S. C. (2024). Optimized eVTOL Aircraft Scheduling - An Answer Set Programming Based Approach.

 

Avraham, N., Roni, S., Meir, K., William, Y., Tran, S. C. (2024). Diagnosing Multi-Agent STRIPS Plans. 35th International Conference on Principles of Diagnosis and Resilient Systems. 125, 8:1-8:20.

 

Tobin, C., Bailey, D., Wade, C., Trieu, L. L., Nelson, K., Oltjen, C., Cao, H., Son, T. C., Flores, V., Castro, B., Gifford, J. H., Trotter, M., Kramar, D. (2024). Evaluation of experimental error in accelerometer monitoring: Variation among individual animals versus variation among devices. Smart Agricultural Technology, Volume 7.

 

Kaminski, R., Schaub, T., Tran, S. C., Švancara, J., & Wanko, P. (2024). Routing and scheduling in answer set programming applied to multi-agent path finding: Preliminary report.

 

Tran, S., Pham, L., Pontelli, E. (2024). On Dealing with False Beliefs and Maintaining KD45n Property. 

 

Vasileiou, S. L., Yeoh, W., Previti, A., Tran, S. C. (2024). On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios.

 

Handa, D., Dolin, P., Kumbhar, S., Tran, S. C., & Baral, C. (2024). ActionReasoningBench: Reasoning about actions with and without ramification constraints. 

 

Liu, J., Bailey, D. W., Cao, H., Son, T. C., & Tobin, C. T. (2024). Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques. Sensors, 24(13).

 

Nayem Uddin, M., Saeidi, A., Handa, D., Seth, A., Tran, S. C., Blanco, E., … Baral, C. (2024). UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization.

 

Izmirlioglu, Y., Pham, L., Tran, S. C., Pontelli, E. (2024). A survey of multi-agent systems for Smartgrids. 

 

Rago, A., Loukas Vasileiou, S., Toni, F., Tran, S. C., & Yeoh, W. (2024). A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs.

 

Tran, L., Tran, S. C., Flynn, D., Balduccini, M. (2024). A Simulation for Supply Chains Contract Execution. In: Dodaro, C., Gupta, G., Martinez, M.V. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2024. 15245. 

 

Buckingham, D., Scheutz, M., Tran, S. C., Fabiano, F. (2024). Action Language mA* with Higher-Order Action Observability. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, Hanoi, Vietnam. 21(1).

 

Rago, A., Vasileiou, S. L., Toni, F., Tran, S. C., & Yeoh, W. (2024). A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs. 

 

Fabiano, F., Platt, T., Tran, S., Pontelli, E. (2024). 𝐻-EFP: Bridging Efficiency in Multi-agent Epistemic Planning with Heuristics. In: Arisaka, R., Sanchez-Anguix, V., Stein, S., Aydoğan, R., van der Torre, L., Ito, T. (eds) PRIMA 2024: Principles and Practice of Multi-Agent Systems. 15395. 

 

Alviano, M., Trieu, L. L., Tran S. C., Balduccini, M. (2024). The XAI system for answer set programming xASP2. Journal of Logic and Computation, 34(8), 1500–1525.

 

Qixu Gong, Huiying Chen, Huiping Cao, and Jiefei Liu. (2024). Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks. ACM Trans. Spatial Algorithms Syst. 10(4), Article 37.

 

Continanza, F. G., Cibils, A. F., Petersen, M. K., Muscha, J. M., Roberts, A. J., Steele, C., Soto-Navarro, S., Steiner, R. L., Cao, H., Gong, Q. (2024). Effect of post-weaning development method on spring grazing patterns of rangeland beef heifers. Livestock Science, 286, 105-523.

 

Jamil, A., Rucker, D. F., Lu, D., Brooks, S. C., Tartakovsky, A. M., Cao, H., Carroll, K. C.(2024). Comparison of machine learning and electrical resistivity arrays to inverse modeling for locating and characterizing subsurface targets. Journal of Applied Geophysics, 229, 105-493.

 

Perea, A. R., Cox, A., Funk, M., Rahman, S., Chen, H., Wang, Y., Campa-Madrid, S. E., Spetter, M. J., Bakir, M., Cao, H., Cibils, A., Estell, R. E., Duff, G. E., Utsumi, S. A. (2024). PSXII-2 Real-time detection of parturition in beef cows managed on extensive rangeland pasture. Journal of Animal Science, 102(3), 603–604.

 

Draayer, E., Cao, H. (2024). Towards Uncertainty Quantification for Time Series Segmentation. 33rd ACM International Conference on Information and Knowledge Management (CIKM '24). Association for Computing Machinery, New York, NY, USA, 519–528.

 

Keller, C. M., Eidenbenz, S., Bärtschi, A., O'Malley, D., Golden, J., Misra, S. (2024). Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. ISC High Performance 2024 Research Paper Proceedings (39th International Conference), Hamburg, Germany, 1-11.

 

Sariboz, E., Tourani, R., Vishwanathan, R., Misra, S. (2024). PEPPER: Privacy-prEserving, auditable, and fair Payment based resource discovery at the PERvasive edge. 19th ACM Asia Conference on Computer and Communications Security (ASIA CCS '24). Association for Computing Machinery, New York, NY, USA.

 

Panwar, G., Vishwanathan, R., Torres, G., Misra, S. (2024). SPRITE: Secure and Private Routing in Payment Channel Networks. 19th ACM Asia Conference on Computer and Communications Security (ASIA CCS '24). Association for Computing Machinery, New York, NY, USA.

 

Kumar, A., Aguilera, M. A. G., Tourani, R., Misra, S. (2024). A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference. 19th ACM Asia Conference on Computer and Communications Security (ASIA CCS '24). Association for Computing Machinery, New York, NY, USA, 1246–1260.

 

Meriwether Keller, C., Misra, S., Bärtschi, A., Eidenbenz, S. (2024). Quantum approximate optimization: A computational intelligence perspective.

 

Shivran, K. S., Shrestha, S., Torres, G., Das, S., Misra, S. (2024). Adapting Software-defined Information Centric Networks for IEC 61850-based Substations. 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Bengaluru, India, 1-6.

 

Kolachala, K., Ababneh, M., Vishwanathan, R. (2024). RACED: Routing in Payment Channel Networks Using Distributed Hash Tables. 19th ACM Asia Conference on Computer and Communications Security (ASIA CCS '24). Association for Computing Machinery, New York, NY, USA, 1895–1910.

 

Ababneh, M., Kolachala, K., Vishwanathan, R. (2024). Auroch: Auction-Based Multipath Routing for Payment Channel Networks. 19th ACM Asia Conference on Computer and Communications Security (ASIA CCS '24). Association for Computing Machinery, New York, NY, USA, 1861–1877.

 

Kolachala, K., Ababneh, M., Vishwanathan, R. (2024). SoK: Payment Channel Networks. 2024 Conference on Building a Secure & Empowered Cyberspace (BuildSEC), Delhi, India, 28-35.

 

Nguyen, P., & Le, T. M. V. (2024). SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection.

 

Kumar, S., & Le, T. (2024). FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts.

 

D. Pham and T. M. V. Le. (2024). Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning. 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 1094-1103.

 

Tardivo, F., Michel, L., & Pontelli, E. (2024). CP for Bin Packing with Multi-Core and GPUs.

 

Tardivo, F., Michel, L., & Pontelli, E. (2024b). Constraint Propagation on GPU: A Case Study for the Bin Packing Constraint.

 

Arce, C., Hernandez, A., Castillo, T. R., Valdez, T., Cota, R., Pontelli, E. (2024). Learning with the Rashomon Augmented Reality Cube (RARc). 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA, 1877.

 

Castillo, T. R., Valdez, T., Pontelli, E., Gonzalez, H., Nevarez, E., Cota, R. (2024). Using Computational Thinking to Learn Creative Writing and Performance Arts: Summer Experiences of Story Creation Projects. 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA, 1840–1841.

 

Castillo, R. T., Valdez, T., Chase, D., Hug, S., Delval, A., & Pontelli, E. (2024). Unleashing Creativity: Summer Camps Insights into Empowering Education with Computational Thinking.

 

Hug, S., Cota, R., Torres Castillo, R., Pontelli, E., Delval, A. (2024). Borderlands First-Generation-in-Engineering Experiences-Learning with and about Students at the Nexus of Nation, Discipline, and Higher Education.

 

Torres, R., Hug, S., Delval, A., Chi, W., Pontelli, E. (2024). WIP: DEPICT for Out-of-School Time (DEPICT4OST): Guiding Undergraduates in the Development and Implementation of Computational-Infused Writing Activities. 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA, 1-5.

 

Tardivo, F., Dovier, A., Formisano, A., Michel, L., Pontelli, E. (2024). Constraint propagation on GPU: a case study for the cumulative constraint. 1-23.

 

Alinia, M., Mitchell, D. G. M. (2024). Cycle-Detection Based Decimation Policies for Lossy Source Encoding. ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA, pp. 2821-2826.

 

Smarandache, R., Fonseca, G. A., Mitchell, D. G. M. (2024). Generalized Quasi-Cyclic LDPC Codes: Design and Efficient Encoding. 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 434-439.

 

Alinia, M., Mitchell, D. G. M. (2024). Minimizing Distortion in Data Embedding Using LDGM Codes and the Cavity Method. 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 226-231.

 

Moradi, M., Mitchell, D. G. M. (2024). PAC Code Rate-Profile Design Using Search-Constrained Optimization Algorithms. 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 2204-2209.

 

Cummins, A. D., Mitchell, D. G. M., & Perrins, E. (2024). Spectrally Efficient LDPC Codes For IRIG-106 Waveforms via Random Puncturing.

 

Martínez-García, M., Villacrés, G., Mitchell, D., & Olmos, P. M. (2024). Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models.

 

Cummins, A. D., Mitchell, D. G. M., & Perrins, E. (2024). Rate-Compatible, Bandwidth-Efficient, Low-Density Parity-Check (LDPC) Codes for Aeronautical Telemetry. Entropy (Basel, Switzerland), 26(12), 1045.

 

Gerasimova, A. V., Lavrova, O. A., & Polevikov, V. K. (2024). Numerical Study of the contact angle influence on equilibrium ferrofluid shapes.

 

Densel, M., Ropp, M. E., Silva, E., Lavrova, O. (2024). A Technique for Thermal Overload Mitigation in a Self-Healing Intentional Island System Using Only Local Measurements. 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2024, pp. 1-5.

 

Karimjee, H., Ranade, S., Ramasubramanian, D., Lavrova, O., & Ribeiro, J. (2024). Insights on Blackstart Provisioning Using a Synchronous Generator and Grid-Forming Inverter Using EMT Simulations. Energies, 17(16), 4067.

 

Benigni, B., Lavrova, O., Whitney, O., Feinberg, C. (2024). Facility Rating Standards Review and Proposed Methodology for FERC Order 881 AAR Calculation. IEEE Access, vol. 12, pp. 173156-173167.

 

Ame-Oko, A., Lavrova, O. (2024). Mitigation of limitation imposed on hosting capacity in low voltage networks by their distribution transformer loading and degradation considerations. IET Energy Syst. Integr. 6(4), 465–478.

 

Martinez, J. R., Lavrova, O., & Ranade, S. (2024). Current Limiting Schemes and their Stability Implications for Blackstart of Power Systems with Inverter-Based Resources (IBRs).
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Loc Pham, Tran Cao Son, and Enrico Pontelli. (2023). Reasoning about Non-Deterministic Observability and Hypothetical Action Occurrences in Multi-Agent Domains. 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Association for Computing Machinery, New York, NY, USA, 957–964.

 

Grubbs, T., Shuppy, A., Athe, P., Son, T. C., & Dinh, N. (2023). Assessing the trustworthiness of a digital twin within the nearly autonomous management and Control System.

 

Flynn, D., Nadeau, C., Shantz, J., Balduccini, M., Son, T. C., & Griffor, E. R. (2023). Formalizing and reasoning about supply chain contracts between agents.

 

Rajaratnam, D., Schaub, T., Wanko, P., Chen, K., Liu, S., & Son, T. C. (2023). Solving an Industrial-Scale Warehouse Delivery Problem with Answer Set Programming Modulo Difference Constraints. Algorithms, 16(4), 216.

  

Pianpak, P., Li, J., & Son, T. C. (2023). Load balancing in distributed multi-agent Path Finder (DMAPF). 130-147.

 

Loukas Vasileiou, S., Kumar, A., Yeoh, W., Cao Son, T., & Toni, F. (2023). Dialectical reconciliation via structured argumentative dialogues. 

 

Alvano, M., Trieu, L. L., Tran, S., & Balduccini, M. (2023). Advancements in xASP, an XAI System for Answer Set Programming.

 

Vasileiou, S. L., Kumar, A., Yeoh, W., Tran, S. C., & Toni, F. (2023). Dialectical Reconciliation via Structured Argumentative Dialogues.

 

LE, T. H., CAO, H., & CAO SON, T. (2023). ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction. Theory and Practice of Logic Programming, 23(4), 765–781.

 

Pham, L., Son, T. C., & Pontelli, E. (2023). Planning in multi-agent domains with untruthful announcements.

 

Chowdhury, M. M. P., Kiekintveld, C., Son, T. C., & Pontelli, E. (2023). Spot: Strategies for power trading in wholesale electricity markets. 

 

Alviano, M., Trieu, L. L., Son, T. C., & Balduccini, M. (2023). Explanations for answer set programming.

 

NGUYEN, T. H., BUNDAS, M., SON, T. C., BALDUCCINI, M., GARWOOD, K. C., & GRIFFOR, E. R. (2023). Specifying and Reasoning about CPS through the Lens of the NIST CPS Framework. Theory and Practice of Logic Programming, 23(5), 1029–1069.

 

Trieu, L. L., Bailey, D. W., Cao, H., Tran , S. C., Trotter, M. G., O’Connor, L., & Tobin, C. T. (2023). 108 potential of accelerometers to remotely detect bovine ephemeral fever in heifers using Pattern Recognition | Journal of Animal Science | Oxford academic.

 

Liu, J., Bailey, D. W., Cao, H., Son, T. C., & Tobin, C. T. (2023). 109 animal behavior analysis using unsupervised machine learning techniques.

 

Bundas, M., Nadeau, C., Nguyen, T. H., Shantz, J., Balduccini, M., Griffor, E., & Son, T. C. (2023). Chapter 16: Facilitating stakeholder communication around AI-enabled systems and Business Processes. 268-283

 

Tran Cao Son, William Yeoh, Roni Stern, and Meir Kalech. (2023). Multi-Agent Planning and Diagnosis with Commonsense Reasoning. Fifth International Conference on Distributed Artificial Intelligence (DAI '23). Association for Computing Machinery, New York, NY, USA, Article 5, 1–9.

 

Nyamuryekung’e, S., Duff, G., Utsumi, S., Estell, R., McIntosh, M. M., Funk, M., Cox, A., Cao, H., Spiegal, S., Perea, A., & Cibils, A. F. (2023). Real-Time Monitoring of Grazing Cattle Using LORA-WAN Sensors to Improve Precision in Detecting Animal Welfare Implications via Daily Distance Walked Metrics. Animals, 13(16), 2641.

 

Matthew M. McIntosh, Andres F. Cibils, Shelemia Nyamuryekung’e, Richard E. Estell, Andrew Cox, Danielle Duni, Qixu Gong, Tony Waterhouse, John Holland, Huiping Cao, Laura Boucheron, Huiying Chen, Sheri Spiegal, Glenn Duff, Santiago A. Utsumi. (2023). Deployment of a LoRa-WAN near-real-time precision ranching system on extensive desert rangelands: What we have learned*. Applied Animal Science, 39(5), 349-361.

 

Kumar, P., Liu, J., Tayeen, A. S. Md., Misra, S., Cao, H., Harikumar, J. (2023). FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning. IEEE Military Communications Conference (MILCOM). 

 

Tayeen, A. S. Md., Misra, S., Cao, H., Harikumar, J. (2023). CAFNet: Compressed Autoencoder-based Federated Network for Anomaly Detection. IEEE Military Communications Conference (MILCOM).

 

Ricardo Perea, A., Macon, L., Rahman, S., Chen, H., Cox, A., Nyamuryekung’e, S., Madrid Campa, S., Cao, H., Cibils, A., Estell, R., Duff, C, D., Utsumi, S. (2023). Activity classification of grazing cows on desert rangeland in the Southwestern United States.

 

Ricardo Perea, A., Macon, L., Rahman, S., Chen, H., Cox, A., Nyamuryekung’e, S., Cao, H., Cibils, A., Estell, R., Duff, C, D., Utsumi, S. (2023). PSIV-22 Detection of Parturition of Rangeland Beef Cattle Using Gps and Accelerometer Data. Journal of Animal Science, 101(3), 485–486.

 

Ricardo Perea, A., Macon, L., Rahman, S., Chen, H., Cox, A., Nyamuryekung’e, S., Madrid Campa, S., Cao, H., Cibils, A., Estell, R., Duff, C, D., Utsumi, S. (2023). PSIV-23 Activity Classification of Grazing Cows on Desert Rangeland in the Southwestern United States. Journal of Animal Science, 101(3), 486–487.

 

Liu, J., Cao, H., Tayeen, A. S. Md., Misra, S., Kumar, P., Harikumar, J. (2023). Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA.

 

Tayeen, A. S. M., Biswal, M., Misra, S. (2023). DP-AMI-FL: Secure Framework for Machine Learning-based AMI Applications. 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 1-5. 

 

Kumar, A., Guirao Aguilera, A. M., Tourani, R., Misra, S. (2023). A Generative Framework for Low-Cost Result Validation of Outsourced Machine Learning Tasks.

 

Tran, C., Duenas, L., Misra, S., & Chaitanya, V. (2023). Specific energy consumption based comparison of distributed additive and conventional manufacturing: From cradle to gate partial life cycle analysis.

 

EITER, T., MAHER, M., PONTELLI, E., DE RAEDT, L., & TRUSZCZYNSKI, M. (2023). The Collection of Papers Celebrating the 20th Anniversary of TPLP, Part II. Theory and Practice of Logic Programming, 23(1), 1–1. 

 

Utreras, E., Pontelli, E. (2023). Introductory programming and young learners with visual disabilities: a review. 169–184.

 

Torres Castillo, R., Valdez, T., Hug, S., Chi, W., Cota, R. & Pontelli, E. (2023). DEPICT: Discovering Computational Thinking in Creative Writing Courses. In E. Langran, P. Christensen & J. Sanson (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference, 1487-1492. New Orleans, LA, United States: Association for the Advancement of Computing in Education (AACE).

 

Dal Palù, A., Dovier, A., Formisano, A., Pontelli, E. (2023). Prolog Meets Biology. In: Warren, D.S., Dahl, V., Eiter, T., Hermenegildo, M.V., Kowalski, R., Rossi, F. (eds) Prolog: The Next 50 Years. Lecture Notes in Computer Science(), vol 13900.

 

COSTANTINI, S., PONTELLI, E., RUSSO, A., & TONI, F. (2023). Introduction to the 39th International Conference on Logic Programming Special Issue. Theory and Practice of Logic Programming, 23(4), 624–631.

 

Pontelli, E., Costantini, S., Dodaro, C., Gaggl, S., Calegari, R., Garcez, A. D., Fabiano, F., Mileo, A., Toni, F. (2023). Proceedings 39th international conference on logic programming. 

 

Tardivo, F., Dovier, A., Formisano, A., Michel, L., Pontelli, E. (2023). Constraint propagation on GPU: A case study for the AllDifferent constraint. Journal of Logic and Computation, 33(8), 1734-1752

 

Pham, D., Le, T. (2023). Utilizing Textual Reviews for Visualizing and Understanding User Preferences. 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '23). Association for Computing Machinery, New York, NY, USA, 335–339.

 

Nguyen, P., Tran, H., Le, V. M. T. (2023). Multi-view Deep Markov Models for Time Series Anomaly Detection. 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 799-808.

 

 Tang, X., Reviriego, P., Tang, W., Mitchell, M. G. D., Lombardi, F., Liu, S. (2023). Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning. IEEE Transactions on Artificial Intelligence, 5(1), 217-228.

 

Gómez-Fonseca, A., Smarandache, R., Mitchell, M. G. D. (2023). On the Tanner Cycle Distribution of QC-LDPC Codes from Polynomial Parity-Check Matrices. 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2356-2361.

 

Battaglioni, M., Chiaraluce, F., Baldi, M., Pacenti, M., Mitchell, M. G. D. (2023). Optimizing quasi-cyclic spatially coupled LDPC codes by eliminating harmful objects. 67.

 

Habib, S., Mitchell, M. G. D. (2023). Reinforcement Learning for Sequential Decoding of Generalized LDPC Codes. 2023 12th International Symposium on Topics in Coding (ISTC), Brest, France. 1-5.

 

Zhu, M., Cummins, D. A., Mitchell, M. G. D., Lentmaier M., Costello, J. D. (2023). Braided Convolutional Self-orthogonal Codes with Double Sliding Window Decoding. 2023 12th International Symposium on Topics in Coding (ISTC), Brest, France. 1-5.

 

Gómez-Fonseca, A., Smarandache R., Mitchell, M. G. D. (2023). A Low Complexity PEG-like Algorithm to Construct Quasi-Cyclic LDPC Codes. 2023 12th International Symposium on Topics in Coding (ISTC), Brest, France. 1-5.

 

Alinia, M., Mitchell, M. G. D. (2023). Optimizing Parameters in Soft-hard BPGD for Lossy Source Coding. 2023 12th International Symposium on Topics in Coding (ISTC), Brest, France. 1-5.

 

Zhu, M., Mitchell, M. G. D., Lentmaier, M., Costello, J. D. (2023). Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes. IEEE Journal on Selected Areas in Information Theory, 4, 470-486.

 

Gómez-Fonseca, A., Smarandache, R., Mitchell, M. G. D. (2023). An Efficient Strategy to Count Cycles in the Tanner Graph of Quasi-Cyclic LDPC Codes. IEEE Journal on Selected Areas in Information Theory, 4, 499-513.

 

Basu, S., Barnes, K. A., Mate, A., Lavrova, O. (2023). Real-Time Implementation of Dynamic State Estimation for Microgrid Load Bus Protection. 2023 IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, USA. 1-6.

 

Ropp, M. E., Lavrova, O., Reno, M. J., Silva, E., Densel, M. A., Kassabian, L. N., Biswal, M., Ramoko, A., Ranade, S. J. (2023). Self-healing, self-assembling islanded power systems using only local measurements.

 

Gangineni, M., Ramirez, J. A., Paul, A., Solís Molinar, J. E., Diaz-Sanchez, A., Huerta-Chua, J., Lavrova, O. (2023). ±0.15 V three-stage bulk-driven AB OTA with 36 MHzpF/µW and 55(V/µs)pF/µW small and large-signal figures of merit.

 

Ropp, M., Lavrova, O., Silva, E. (2023). Avoiding asynchronous connections of adjacent microgrids in self-healing power systems. 

 

Silva, E., Ropp, M. E., Lavrova, O. (2023). Demonstration of a self-healing power system concept using manufacturer specific inverter models.

 

Pati, S., Biswal, M., Ranade, S. J., Lavrova, O., Reno M. J. (2023). Evaluating the Use of Shapelets in Traveling Wave Based Fault Detection and Classification in Distribution Systems. IEEE Transactions on Industry Applications, 60(2), 2507-2516.

 

Wittman, R. M., Lavrova, O., Anwer, U., Huang, J., Cowles, G., Augustine, S., Terry, D., Atcitty, S., Guan, H. (2023). Analysis of Battery Testing Protocols in the Transition from the Lab to the Field: A Test Case Using Advanced Zn-MnO2 Batteries in Off-Grid Solar Microgrids. 453-453.