Research

Recent Faculty Publications

Selected Publications of IMSE Faculty 2022-2023

G Dunn, E Stojanovski, B Lamichhane, Hadi Charkhgard, A Eshragh, “Modified dynamic programming algorithms for order picking in single-block and two-block rectangular warehouses,” arXiv preprint, arXiv:2601.10952 (2026).

G Dunn, E Stojanovski, B Lamichhane, Hadi Charkhgard, A Eshragh, “Strict elimination of double traversals in outer subaisles and two-block rectangular warehouses,” arXiv preprint, arXiv:2512.08235 (2025).

G Dunn, Hadi Charkhgard, A Eshragh, E Stojanovski, “Double traversals in optimal picker routes for warehouses with multiple blocks,” Operations Research Letters, Article 107397 (2025). DOI: 10.1016/j.orl.2025.107397

S Mahmoudinazlou, A Sobhanan, Hadi Charkhgard, A Eshragh, G Dunn, “Deep reinforcement learning for dynamic order picking in warehouse operations,” Computers & Operations Research, Volume 182, Article 107112 (2025). DOI: 10.1016/j.cor.2025.107112

A Sobhanan, Hadi Charkhgard, C Kwon, “Arc routing problems with multiple trucks and drones: A hybrid genetic algorithm,” arXiv preprint, arXiv:2508.18105 (2025).

A Khanal, Hadi Charkhgard, “A criterion space search feasibility pump heuristic for solving maximum multiplicative programs,” Discrete Optimization, Volume 57, Article 100903 (2025). DOI: 10.1016/j.disopt.2025.100903

G Dunn, E Stojanovski, B Lamichhane, Hadi Charkhgard, A Eshragh, “Deterministic structure of vertical configurations in minimal picker tours for rectangular warehouses,” arXiv preprint, arXiv:2508.00365 (2025).

V Mahmoodian, Hadi Charkhgard, I Dayarian, “Equitable workload allocation in vehicle routing problem with heterogeneous drivers,” Production and Operations Management, Volume 34, Issue 7, Pages 1875–1900 (2025). DOI: 10.1111/poms.12773

A Khanal, OM Tarabih, ME Arias, Q Zhang, Hadi Charkhgard, “AquaNutriOpt II: A multi-period bi-objective nutrient optimization Python tool for controlling harmful algal blooms—A case study of Lake Okeechobee,” Environmental Modelling & Software, Volume 188, Article 106428 (2025). DOI: 10.1016/j.envsoft.2025.106428

C Ye, J Gao, M Nachabe, Hadi Charkhgard, Y Zhang, Q Zhang, “Optimization of green and grey infrastructure for performance enhancement of urban drainage system under future conditions,” Journal of Environmental Management, Volume 376, Article 124518 (2025). DOI: 10.1016/j.jenvman.2025.124518

Hadi Charkhgard, HR Moghaddam, A Eshragh, S Mahmoudinazlou, “Solving hard bi-objective knapsack problems using deep reinforcement learning,” Discrete Optimization, Volume 55, Article 100879 (2025). DOI: 10.1016/j.disopt.2025.100879

Hadi Charkhgard, J Park, C Kwon, “Special issue on advances in computational optimization and their modern applications,” Optimization Letters, Volume 18, Issue 9, Pages 1961–1962 (2024). DOI: 10.1007/s11590-024-02007-1

A Sierra-Altamiranda, Hadi Charkhgard, I Dayarian, A Eshragh, S Javadi, “Learning to project in a criterion space search algorithm: An application to multi-objective binary linear programming,” Optimization Letters, Volume 18, Issue 9, Pages 2051–2078 (2024). DOI: 10.1007/s11590-024-02032-0

G Dunn, Hadi Charkhgard, A Eshragh, E Stojanovski, “A modified algorithm for optimal picker routing in a single block warehouse,” arXiv preprint, arXiv:2409.13219 (2024).

Hadi Charkhgard, PG Saghand, “Fluency map optimization in intensity-modulated radiation therapy,” US Patent 12,059,578 (2024).

A Sobhanan, Hadi Charkhgard, I Dayarian, “Equity-driven workload allocation for crowdsourced last-mile delivery,” (2024).

A Sobhanan, S Mahmoudinazlou, Hadi Charkhgard, C Kwon, “A branch-and-price algorithm for emergency humanitarian logistics with a mixed truck-drone fleet,” Proceedings of the IISE Annual Conference & Expo (2024).

A Khanal, V Mahmoodian, OM Tarabih, J Hua, ME Arias, Q Zhang, Hadi Charkhgard, “AquaNutriOpt: Optimizing nutrients for controlling harmful algal blooms in Python—A case study of Lake Okeechobee,” Environmental Modelling & Software, Volume 176, Article 106025 (2024). DOI: 10.1016/j.envsoft.2024.106025

OM Tarabih, ME Arias, AL Santos, J Hua, RZ Cooper, A Khanal, TD Dang, Hadi Charkhgard, “Effects of the spatial distribution of best management practices for watershed-wide nutrient load reduction,” Ecological Engineering, Volume 201, Article 107211 (2024). DOI: 10.1016/j.ecoleng.2024.107211

G Dunn, Hadi Charkhgard, A Eshragh, S Mahmoudinazlou, E Stojanovski, “Deep reinforcement learning for picker routing problem in warehousing,” arXiv preprint, arXiv:2402.03525 (2024).

S Mahmoudinazlou, C Kwon, Hadi Charkhgard, “Solving various classes of arc routing problems with a memetic algorithm-based framework,” (2024).

HKT Ng, U Nguyen, Y Akbulut, T Tran, T Vo, H Pirim, A Setty, T Le, “Predicting the Apnea-Hypopnea index for the diagnosis of obstructive sleep apnea with cardiovascular and cancer comorbidity using wearable sleep-tracking devices,” Sleep and Breathing, 30 (1), 34 (2026). DOI: 10.1007/s11325-025-03565-z

PK Huynh, J Kpodonu, MHN Le, Y Xu, OP Yadav, TQ Le, “A Real-Time Uncertainty-Aware Digital Twin Framework for Intra-Operative Valve Surgery,” 2026 Annual Reliability and Maintainability Symposium (RAMS), 1-7 (2026).

T Truong, PK Huynh, P Huynh, Y Xu, J Kpodonu, TQ Le, “Grad-CAM-Enhanced Dual-Image Prompting of Multimodal LLMs for Trustworthy Brain Tumor Classification,” 2026 Annual Reliability and Maintainability Symposium (RAMS), 1-7 (2026).

A Le, PK Huynh, OP Yadav, H Pirim, C Le, TQ Le, “Topology-Aware Spatio-Temporal Graph Transformer for Predicting Smart Grid Failures,” arXiv preprint arXiv:2601.02701 (2026).

MA Moriyani, L Asaye, C Le, T Le, H Pirim, OP Yadav, T Le, “Natural language processing for disaster-resilient infrastructure: Research focus and future opportunities,” Resilient Cities and Structures, 4 (4), 47-71 (2025). DOI: 10.1016/j.rcns.2025.11.003

M Kazim, H Pirim, OP Yadav, C Le, T Le, “Analysis of multilayer energy networks: A comprehensive literature review,” Applied Energy, 398, 126357 (2025).

M Oks, R Sachdeva, MA Davenport, AM Husain, M Kalra, V Krishnan,....,T Le, “Artificial intelligence in sleep medicine: an updated American Academy of Sleep Medicine position statement,” Journal of Clinical Sleep Medicine, 21 (11), 1953-1955 (2025).

L Asaye, C Le, T Le, Y Huang, OP Yadav, T Le, “Identifying Hotspots in Natural Gas and Oil Pipeline Networks and Understanding Incident Risk Factors: An Integrated Spatial Analysis and Machine Learning Approach,” Journal of Pipeline Systems Engineering and Practice, 16 (4), 04025070 (2025).

M Kazim, H Pirim, C Le, T Le, OP Yadav, “Multilayer GNN for predictive maintenance and clustering in power grids,” iScience, 28 (10) (2025).

P Conahan, LA Robinson, T Le, MB Schabath, MM Byrne, L Green, ..., “Reasoning Neighborhood-Level Determinants of Late-Stage Lung Cancer Diagnosis Among Blacks and Whites Using Bayesian Network,” MEDICAL DECISION MAKING, 45 (7) (2025).

M Kazim, H Pirim, C Le, T Le, OP Yadav, “Edge-level explainable graph neural networks with network centric features for transmission line failure prediction in power grids,” Sustainable Energy, Grids and Networks, 101969 (2025).

T Le, PK HUYNH, L TOMASELLI, “Enhancing accuracy in wearable sleep trackers,” US Patent App. 19/068,995 (2025).

BD Gonzalez, X Li, LM Gudenkauf, JJ Pullukkara, LB Oswald, ..., T Le, “Using Bayesian Networks to Predict Urgent Care Visits in Patients Receiving Systemic Therapy for Non–Small Cell Lung Cancer,” JCO clinical cancer informatics, 9, e2400315 (2025).

T Le, Q Nguyen, “System and method for longitudinal apnea monitoring using spo2 signals,” US Patent App. 19/049,974 (2025).

T Truong, PK Huynh, R Nakase-Richardson, TQ Le, “Sleep State-Dependent Eeg Spectral Alterations During Obstructive Sleep Apnea in Chronic Traumatic Brain Injury,” 2025 2nd International Conference on Health Science and Technology (ICHST), 1-6 (2025).

D Nguyen, C Hoang, T Truong, D Nguyen, HG Lam, A Sharma, TQ Le, ..., “Multi-level phenotypic models of cardiovascular disease and obstructive sleep apnea comorbidities: A longitudinal Wisconsin sleep cohort study,” Plos one, 20 (7), e0327977 (2025).

A Sharma, T Le, T Le, P Huynh, “A Narrative Review of the Relationship Between Head and Neck Cancer and Obstructive Sleep Apnea: Clinical Studies and Statistical Analysis,” SLEEP, 48, A286-A286 (2025).

T Le, A Sharma, P Huynh, “MULTI-LEVEL PHENOTYPIC MODELS OF CARDIOVASCULAR DISEASE AND OBSTRUCTIVE SLEEP APNEA COMORBIDITIES,” SLEEP, 48, A64-A64 (2025).

P Conahan, LA Robinson, T Le, G Valdes, MB Schabath, MM Byrne, ..., “Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using …,” JNCI Cancer Spectrum, 9 (2), pkaf030 (2025).

M Kazim, H Pirim, C Le, T Le, O Prakash Yadav, “Link prediction and navigability of multiplex energy networks,” Computing in Civil Engineering 2024, 405-414 (2025).

QH Nguyen, S Hore, A Shah, T Le, ND Bastian, “FedNIDS: A federated learning framework for Packet-based network intrusion detection system,” Digital Threats: Research and Practice, 6 (1), 1-23 (2025).

L Asaye, C Le, Y Huang, TQ Le, OP Yadav, T Le, “Predicting and understanding emergency shutdown durations level of pipeline incidents using machine learning models and explainable AI,” Processes, 13 (2), 445 (2025).

L Asaye, C Le, T Le, OP Yadav, T Le, “Insights into the interactions of pipeline risk factors and consequences using association rule mining,” Journal of Performance of Constructed Facilities, 39 (1), 04024059 (2025).

PK Huynh, C Hoang, D Nguyen, T Truong, TTQ Le, “Multi-Scale System Reliability Analysis of Multi-Layer Network Infrastructures,” 2025 Annual Reliability and Maintainability Symposium (RAMS), 1-7 (2025).

PK Huynh, P Huynh, OP Yadav, C Le, H Pirim, TQ Le, “Transformer-Based Prognostic Modeling for Smart Grid Health Monitoring,” 2025 Annual Reliability and Maintainability Symposium (RAMS), 1-7 (2025).

F Farzana, TI Shazeeb, H Pirim, C Le, OP Yadav, T Le, “Sustainable Energy Load Allocation Using Differentiable Optimization Layers in Neural Networks,” IISE Annual Conference. Proceedings, 1-6 (2025).

TT Nguyen, D Kasperski, PK Huynh, TQ Le, TB Le, “Modal analysis of blood flows in saccular aneurysms,” Physics of Fluids, 37 (1) (2025).

HQ Pham, N Nguyen, Q Tran, TB Le, TQ Le, “Efficient Snell’s law solution for generating robust acoustic tweezers in dual-layered media,” Frontiers in Acoustics, 2, 1485372 (2025).

T Le, P Huynh, A Sharma, A Setty, M Blanchard, HKT Ng, Y Luo, T Le, “A narrative review of the relationship between head and neck cancer and obstructive sleep apnea: Clinical studies and statistical analysis,” Sleep Medicine Reviews, 78, 102010 (2024).

D Nguyen, MHN Le, TQ Le, C Charles-Okezie, MJ Diaz, C Sabet, ..., “Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges,” IEEE Journal of Biomedical and Health Informatics, 29 (9), 6342-6352 (2024).

TQ LE, PK HUYNH, “Noise-robust sleep apnea diagnostic system and related method,” US Patent App. 18/506,896 (2024).

P Singh, PK Huynh, D Nguyen, TQ Le, W Moreno, “Leveraging multicriteria integer programming optimization for effective team formation,” IEEE transactions on learning technologies, 18, 72-84 (2024).

T Le, H Phat, A Setty, A Sharma, “INTERMITTENT ANALYSIS OF OBSTRUCTIVE SLEEP APNEA DYNAMICS,” SLEEP, 47 (2024).

A Sharma, T Le, “A NARRATIVE REVIEW OF THE RELATIONSHIP BETWEEN HEAD AND NECK CANCER AND OSA,” SLEEP, 47 (2024).

MA Moriyani, L Asaye, C Le, T Le, T Le, “Natural language processing for infrastructure resilience to natural disasters: A scientometric review,” International Conference series on Geotechnics, Civil Engineering and …, (2024).

TQ Le, P Huynh, L Tomaselli, “Navigating the night: evaluating and accessing wearable sleep trackers for clinical use,” Sleep, 47 (3), zsad319 (2024).

PK Huynh, G Singh, OP Yadav, TQ Le, C Le, “Unsupervised anomaly detection in electric power networks using multi-layer auto-encoders,” 2024 Annual Reliability and Maintainability Symposium (RAMS), 1-6 (2024).

PK Huynh, MM Rahman, OP Yadav, TQ Le, C Le, “Assessing robustness and vulnerability in interdependent network infrastructure: A multilayer network approach,” 2024 Annual Reliability and Maintainability Symposium (RAMS), 1-7 (2024).

QH Nguyen, S Hore, A Shah, T Le, ND Bastian, “A Privacy-Preserving Federated Learning Framework for Robust Intrusion Detection in Decentralized Networks Using Packet Data,” (2024).

MM Rahman, AS Akash, H Pirim, C Le, T Le, OP Yadav, “Enhancing Electrical Network Vulnerability Assessment with Machine Learning and Deep Learning Techniques,” Northeast Journal of Complex Systems (NEJCS), 6 (1), 2 (2024).

D Paudel, TK Das, “Tacit algorithmic collusion in deep reinforcement learning guided price competition among a set of fast-charging electric vehicle hubs,” Engineering Applications of Artificial Intelligence, Volume 166, Article 113567 (2026).

D Paudel, L Wolf, TK Das, “Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations,” Energy, Volume 330, Article 136720 (2025). DOI: 10.1016/j.energy.2025.136720

S Hore, J Ghadermazi, D Paudel, A Shah, TK Das, ND Bastian, “Deep packgen: A deep reinforcement learning framework for adversarial network packet generation,” ACM Transactions on Privacy and Security (2025). DOI: 10.1145/3712307

Y Matamala, TK Das, F Feijoo, “A stochastic Stackelberg problem with long-term investment decisions in power-to-x technologies for multi-energy microgrids,” Energy, Volume 314, Article 134131 (2024). DOI: 10.1016/j.energy.2024.134131

LK Santana, H Meng, Y Liu, MQ Le, L Peterson, A Grippo, M Li, “Cross-Sectional Association Between Social Activity Participation, Age, and Cognition: Evidence from the Health and Retirement Study,” Sage Open Aging, Volume 11, Article 30495334251385858 (2025). DOI: 10.1177/30495334251385858

Y Xu, S Chen, H Meng, N Kong, M Li, “Modeling multidimensional aging in community-dwelling older adults: Insights from a heterogeneous population,” IISE Transactions on Healthcare Systems Engineering, 1-18 (2025). DOI: 10.1080/24725579.2025.2598578

LK Santana, H Meng, L Peterson, MQ Le, M Li, D Dobbs, “DOES SOCIAL ACTIVITY PARTICIPATION MODERATE THE RELATIONSHIP BETWEEN AGE AND COGNITION? EVIDENCE FROM THE HRS,” Innovation in Aging, Volume 8, Supplement_1, 944-944 (2024). DOI: 10.1093/geroni/igae098.3044

X Sun, N Kong, W Ding, Y Li, N Sakib, H Zeng, H Meng, C Masterson, M Li, “An intelligent decision support framework for nursing home resource planning with enhanced heterogeneous service demand modeling,” Engineering Applications of Artificial Intelligence, Volume 137, Article 109221 (2024). DOI: 10.1016/j.engappai.2024.109221

H Zeng, X Sun, K Wang, Y Wen, W Si, M Li, “A Bayesian Approach for Lifetime Modeling and Prediction with Multi-Type Group-Shared Missing Covariates,” Mathematics, Volume 12, Issue 5, Article 740 (2024). DOI: 10.3390/math12050740

B Wang, L Lu, S Chen, M Li, “Optimal test design for reliability demonstration under multi-stage acceptance uncertainties,” Quality Engineering, Volume 36, Issue 1, 91-104 (2024). DOI: 10.1080/08982112.2023.2249188

JS Borrero, D Sauré, N Trigo, “Optimal sequential stochastic shortest path interdiction,” European Journal of Operational Research, Volume 326, Issue 3, 641-655 (2025). DOI: 10.1016/j.ejor.2024.11.042

L Lozano, JS Borrero, “A bilevel optimization approach for a class of combinatorial problems with disruptions and probing,” INFORMS Journal on Computing, Volume 37, Issue 6, 1478-1499 (2025). DOI: 10.1287/ijoc.2024.0629

M Ansari, JS Borrero, AD González, “Two-stage robust optimization approach for enhanced community resilience under tornado hazards,” European Journal of Operational Research, Volume 325, Issue 3, 525-540 (2025). DOI: 10.1016/j.ejor.2025.03.001

JS Borrero, D Sauré, “Maximum likelihood probability measures over sets: Existence, computation, and convergence,” European Journal of Operational Research, Volume 327, Issue 3, 922-936 (2025).

L Lozano, JS Borrero, “On solving integer robust optimization problems with integer decision-dependent uncertainty sets,” Mathematical Programming, 1-33 (2025). DOI: 10.1007/s10107-025-02249-6

H Pan, Y Lu, B Balasundaram, JS Borrero, “Finding conserved low‐diameter subgraphs in social and biological networks,” Networks, Volume 84, Issue 4, 509-527 (2024). DOI: 10.1002/net.22246

M Akhgar, JS Borrero, “The influence coverage optimization problem,” IISE Transactions, Volume 56, Issue 11, 1162-1175 (2024). DOI: 10.1080/24725854.2023.2261507

P Ahadi, B Balasundaram, JS Borrero, C Chen, “Development and optimization of expected cross value for mate selection problems,” Heredity, Volume 133, Issue 2, 113-125 (2024). DOI: 10.1038/s41437-024-00697-y

N Daemi, JS Borrero, B Balasundaram, “First passage time interdiction in Markov chains,” Operations Research Letters, Volume 54, Article 107111 (2024). DOI: 10.1016/j.orl.2024.107111

C Chen, P Ahadi, B Balasundaram, J Borrero, “Optimizing expected cross value for genetic introgression,” bioRxiv (2024). DOI: 10.1101/2024.05.26.595981

P Chumpitaz-Flores, M Duong, Y Mao, K Hua, “PASS: Ambiguity Guided Subsets for Scalable Classical and Quantum Constrained Clustering,” arXiv preprint arXiv:2601.20157 (2026). DOI: 10.48550/arXiv.2601.20157

M Palma, S Kan, W Wei, J Chen, K Hua, S Mouradian, Y Mao, “Hardware-Aware and Resource-Efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers,” IEEE Transactions on Quantum Engineering, Volume 7, 1-15 (2025). DOI: 10.1109/TQE.2025.3632540

P Chumpitaz-Flores, M Duong, Y Mao, K Hua, “QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification,” arXiv preprint arXiv:2511.08940 (2025). DOI: 10.48550/arXiv.2511.08940

C Heredia, P Chumpitaz-Flores, K Hua, “RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees,” arXiv preprint arXiv:2510.23901 (2025). DOI: 10.48550/arXiv.2510.23901

P Chumpitaz-Flores, M Duong, C Heredia, K Hua, “A scalable global optimization algorithm for constrained clustering,” arXiv preprint arXiv:2510.22519 (2025). DOI: 10.48550/arXiv.2510.22519

P Chumpitaz-Flores, M Duong, Y Mao, K Hua, “qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices,” arXiv preprint arXiv:2510.22540 (2025). DOI: 10.48550/arXiv.2510.22540

X Xiong, P Chumpitaz-Flores, K Hua, C Hua, “SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes,” arXiv preprint arXiv:2510.19241 (2025). DOI: 10.48550/arXiv.2510.19241

J Ren, N You, K Hua, C Ji, Y Cao, “A Global Optimization Algorithm for K-Center Clustering of One Billion Samples,” Management Science (2025). DOI: 10.1287/mnsc.2023.00218

Z Du, PC Flores, W Wei, J Chen, K Hua, Y Mao, “Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems,” arXiv preprint arXiv:2509.10409 (2025). DOI: 10.48550/arXiv.2509.10409

K Liu, J Qiang, Y Li, Y Zhu, Y Yuan, K Hua, X Wu, “Multilingual Lexical Simplification via Zero-Shot Paraphrasing,” IEEE Transactions on Audio, Speech and Language Processing, Volume 33, 2200-2214 (2025).

A Savachkin, W Ardila-Rueda, D Romero-Rodriguez, K Hua, JNDL Cruz, “Assessment and Optimization of System Resilience: A Critical Review,” Models and Methods for Systems Engineering, 251-260 (2025).

Daniela Cantarino, Jorge A. Acuna, Monica Stevens, Mckenzi Heide, José L. Zayas-Castro, “Balancing equity and efficiency in kidney allocation: An online adaptive stochastic bi-objective approach,” Expert Systems with Applications, Article 131148 (2026). DOI: 10.1016/j.eswa.2026.131148

Mariana Arriz-Jorquiera, Jorge A. Acuna, José L. Zayas-Castro, “Minimizing food waste and costs in hospital environments through a chance-constrained stochastic programming model,” Resources, Conservation and Recycling, Article 108720 (2025). DOI: 10.1016/j.resconrec.2025.108720

E Ghasemi Saghand, SK Lai-Yuen, “Training-free multi-objective evolutionary search for efficient spiking neural networks,” Evolutionary Intelligence, 19 (2), 46 (2026).

N Wijethilake, R Dorent, M Ivory, A Kujawa, S Cornelissen, ..., SK Lai-Yuen, “crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023,” arXiv preprint arXiv:2506.12006 (2025). DOI: 10.48550/arXiv.2506.12006

F Barzallo, M Baldeon-Calisto, M Perez, ME Moscoso, D Navarrete, ..., SK Lai-Yuen, “A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study,” Social Science Computer Review, 43 (3), 578-603 (2025). DOI: 10.1177/08944393241266220

EG Saghand, SK Lai-Yuen, “MONAS-ESNN: Multi-Objective Neural Architecture Search for Efficient Spiking Neural Networks,” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025).

M Baldeon-Calisto, SK Lai-Yuen, B Puente-Mejia, “StAC-DA: Structure aware cross-modality domain adaptation framework with image and feature-level adaptation for medical image segmentation,” Digital Health, 10, 20552076241277440 (2024). DOI: 10.1177/20552076241277440

M Baldeon-Calisto, F Rivera-Velastegui, SK Lai-Yuen, D Riofrío, ..., “DistilIQA: Distilling Vision Transformers for no-reference perceptual CT image quality assessment,” Computers in Biology and Medicine, 177, 108670 (2024). DOI: 10.1016/j.compbiomed.2024.108670

S Lai-Yuen, “Deep Learning II,” 2024 IISE Annual Conference and Expo (2024).

EG Saghand, J Nunes, J Cardoso, S Lai-Yuen, “Multi-objective Neural Architecture Search for Energy-Efficient Spiking Neural Networks,” 2024 IISE Annual Conference and Expo (2024).

A Semenov, A Veremyev, D McMann, EL Pasiliao, V Boginski, “Sparsified Neural Network Architectures Inspired by Optimal Strongly Attack Tolerant Network Configurations,” International Conference on the Dynamics of Information Systems, 177-189 (2026).

A Semenov, MJ Hirsch, PM Pardalos, “Social Network Influence Propagation, Stability, and Systems of Nonlinear Equations,” International Conference on the Dynamics of Information Systems, 3-15 (2026).

A Semenov, M Hirsch, P Pardalos, “Utilizing Large Language Models for Finding All Roots to Nonlinear Systems of Equations: Solutions, Accuracy, and Prompt Design,” Algorithmic Aspects in Information and Management, 26–34 (2026).

V Boginski, A Kammerdiner, P Krokhmal, A Semenov, “Preface: global optimization algorithms and applications,” Computational Optimization and Applications, 92 (3), 755-760 (2025). DOI: 10.1007/s10589-025-00650-7

L Lurie, D Grigoriev, A Skrobotov, A Zubarev, A Semenov, “The Role of Visual and Informational Elements in Wine Label Design: Effects on Price and Customer Rating,” Available at SSRN 5021603 (2025).

TGR Macieira, RI Bjarnadottir, P de Oliveira Salgado, A Baranwal, ..., A Semenov, “Making nursing visible: AI-assisted standardization of electronic health record interventions using generative pre-trained transformer models and retrieval-augmented generation,” Nursing Outlook, 73 (5), 102494 (2025). DOI: 10.1016/j.outlook.2024.102494

T Pimenova, V Kolycheva, A Semenov, D Grigoriev, “The Influence of News, Expert and Public Opinion on Painting Prices: An Empirical Analysis,” Empirical Studies of the Arts, 02762374251357172 (2025). DOI: 10.1177/02762374251357172

A Semenov, A Veremyev, EL Pasiliao, V Boginski, “Bandpass Threshold Models for Activation and Influence Propagation in Social Networks,” IEEE Access (2025).

A Dolaeva, U Beliaeva, D Grigoriev, A Semenov, M Rysz, “Analyzing and forecasting P/E ratios using investor sentiment in panel data regression and LSTM models,” International Review of Economics & Finance, 98, 103840 (2025). DOI: 10.1016/j.iref.2025.103840

W Trevena, X Zhong, M Alvarado, A Semenov, A Oktay, D Devlin, ..., “Using large language models to detect and understand drug discontinuation events in web-based forums: development and validation study,” Journal of Medical Internet Research, 27, e54601 (2025). DOI: 10.2196/54601

E Lapan, Y Ophir, R Wang, A Semenov, K Kountz, D Walter, “Negotiating extremism: Thematic engagement capacity for red pill conversations on Reddit,” New Media & Society, 14614448251400345 (2025). DOI: 10.1177/14614448251400345

A Veremyev, A Semenov, E Pasiliao, V Boginski, “Graph-Based Approaches for Image Space Exploration and Representative Set Selection,” CSoNet 2024, 15417, 212–223 (2025).

R Wang, Y Ophir, A Semenov, A Nikolaev, “Content engagement capacity: a network-based approach for evaluating the ability of frames to facilitate political online conversations,” Information, Communication & Society (2025).

M Borisov, V Kolycheva, A Semenov, D Grigoriev, “How Does the Color Palette Affect the Pricing of Abstract Paintings?,” Information Systems Frontiers (2025).

A Prokhorov, P Radchenko, A Semenov, A Skrobotov, “Change-Point Detection in Time Series Using Mixed Integer Programming,” Journal of Business and Economic Statistics (2025).

S Aydın, OE Akgün, S Gil, A Nedić, “Resilient Consensus without Finite Time Detection Guarantees,” 2025 IEEE 64th Conference on Decision and Control (CDC), 2466-2472 (2025).

OE Akgün, S Aydın, S Gil, A Nedić, “Multi-Agent Trustworthy Consensus under Random Dynamic Attacks,” arXiv preprint arXiv:2504.07189 (2025). DOI: 10.48550/arXiv.2504.07189