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Papers published or accepted in 2018-2020

B. Balasundaram, J. S. Borrero, H. Pan, Graph Signatures: Identification and Optimization. European Journal of Operational Research (2021). Forthcoming.
Z. Miao and B. Balasundaram. An ellipsoidal bounding scheme for the quasi-clique number of a graph. INFORMS Journal on Computing, 32(3):763–778, August 2020.


F. Nasirian, F. M. Pajouh, and B. Balasundaram. Detecting a most closeness-central clique in complex networks. European Journal of Operational Research. 283(2):461-475, June 2020. 
B. Farmanesh, A. Pourhabib, B. Balasundaram, and A. Buchanan. A Bayesian framework for functional calibration of expensive computational models through nonisometric matching. IISE Transactions, May 2020.
J. Ma and B. Balasundaram. On the chance-constrained minimum spanning k-core problem. Journal of Global Optimization, 74(4):783-801, August 2019. 
S. Sun, Z. Miao, B. Ratcliffe, P. Campbell, B. Pasch, Y. A. El-Kassaby, B. Balasundaram, and C. Chen. SNP variable selection by generalized graph domination. PLOS ONE, 14(1):1–18, January 2019. 
Y. Lu, E. Moradi, and B. Balasundaram. Correction to: Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts. Optimization Letters, 12(8):1959–1969, November 2018. 
E. Moradi and B. Balasundaram. Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts. Optimization Letters, 12(8):1947–1957, November 2018. 
J. Yang, J.S. Borrero, O. A. Prokopyev, D. Saure, Sequential Shortest Path Interdiction with Incomplete Information and Limited Feedback. Decision Anaylsis (2021). Forthcoming.
J.S. Borrero, L. Lozano. Modeling Defender-Attacker Problems as Robust Linear Programs with Mixed-integer Uncertainty Sets. INFORMS Journal on Computing (2020). Forthcoming.


J.S. Borrero, O.A. Prokopyev, P. Krokhmal, Optimization of cascading processes in arbitrary networks with stochastic interactions. IEEE Transactions on Network Science and Engineering. Accepted for Publication. 
J.S. Borrero, O.A. Prokopyev, D. Saure, Sequential interdiction with incomplete information and learning. Operations Research, 67(1): 72-89, 2019. 
V. Stozhkov, A. Buchanan, S. Butenko, V. Boginski. Continuous cubic formulations for cluster detection problems in networks. To appear at Mathematical Programming
H. Salemi and A. Buchanan. Parsimonius formulations for low-diameter clusters. Mathematical Programming ComputationAccepted for Publication
H. Validi, A. Buchanan. The optimal design of low-latency virtual backbones. INFORMS Journal on Computing. Accepted for Publication.
H. Validi, A. Buchanan. A Note on “A linear-size zero-one programming model for the minimum spanning tree problem in planar graphs". Networks, 73(1): 135-142, 2019. 
J.L. Walteros, A. Buchanan. Why is maximum clique often easy in practice? Operations Research. Accepted for Publication. Honorable Mention in the 2019 JFIG Paper Competition.
A. Buchanan, Y. Wang, S. Butenko. Algorithms for node-weighted Steiner tree and maximum-weight connected subgraph. Networks, 72(2): 238-248, 2018.
K. A. Jurewicz, D. M. Neyens, K. Catchpole, A. Joseph, S. T. Reeves, J. H. Abernathy III. An observational study of anaesthesia workflow to evaluate physical workspace design and layout. British Journal of Anesthesia. Accepted, 2020.
K. A. Jurewicz, M. A. Hobbs, D. M. Neyens, A. K. Childers, M. J. Cozad & J. M. Brooks. Identifying the timing and duration of collecting patient priorities in an orthopedic clinic. Human Factors and Ergonomics in Manufacturing & Service Industries., 2018.
K. A. Jurewicz, D. M. Neyens, K. Catchpole & S. T. Reeves. Developing a 3D gestural interface for anesthesia-related human-computer interaction tasks using both experts and novices. Human Factors, 60(7), 992–1007., 2018.
D. M. Neyens, S. Bayramzadeh, K. Catchpole, A. Joseph, K. Taaffe, K. Jurewicz, … D. San. Using a systems approach to evaluate a circulating nurse’s work patterns and workflow disruptions. Applied Ergonomics., 2018.
F. Majzoubi, L. Bai, and S.S. Heragu, “The EMS Vehicle Transportation Problem During a Demand Surge,” Journal of Global Optimization, Vol. 79, No. 4, pp. 989-1006, 2021.
T. van de Kracht and S.S. Heragu, “Lessons from Modeling and Running the World’s Largest Drive Through, Mass Vaccination Clinic,” INFORMS Journal of Applied Analytics, Vol. 51, No. 2, pp. 91- 105, March-April 2021
O. Battaia, A. Dolgui, S.S. Heragu, S.M. Meerkov, and M. K. Tiwari, Design for manufacturing and assembly/disassembly: joint design of products and production systems, International Journal of Production Research, 56(24): 7181-7189, 2018. 
S. Srivathsan, and M. Kamath, Understanding the value of upstream inventory information sharing in supply chain networks, Applied Mathematical Modelling, 54:393-412, 2018. 
J. Ma, Y.T. Leung, and M. Kamath, 2019, Service system design under uncertainty: Insights from an M/G/1 model, Service Science. 11(1):40-56, 2019. 
Z. Shi, C. Kan, W. Tian, and C. Liu, A Blockchain-based G-code Protection Approach for Cyber-Physical Security in Additive Manufacturing. ASME Journal of Computing and Information Science in Engineering, 2020, Accepted for Publication. 
C. Liu, Z. Kong, S. Babu, C. Joslin, and J. Ferguson, An Integrated Manifold Learning Approach for High Dimensional Data Feature Extractions and its Applications to Online Process Monitoring of Additive Manufacturing. IISE Transactions, 2020, Accepted for Publication. 
C. Liu, A. Law, D. Roberson, and Z, Kong, Image analysis-based closed loop quality control for additive manufacturing with fused filament fabrication. Journal of Manufacturing Systems. 51: 75-86, 2019 
J. Liu, C. Liu, Y. Bai, P. Rao, Z. Kong, and C. Williams, Layer-wise spatial modeling of porosity in additive manufacturing. IISE Transactions. 51(2):109-123, 2019. 
C. Liu, A. Kapoor, J. VanOsdol, K. Ektate, Z. Kong, and A. Ranjan, A spectral fiedler field-based contrast platform for Imaging of nanoparticles in colon tumor, Scientific Reports. 8(11390):1-8, 2018. 
A. Gupta, T. Liu, C. Crick. Utilizing Time Series Data Embedded in Electronic Health Records to Develop Continuous Mortality Risk Prediction Models using Hidden Markov Models: A Sepsis Case Study. Statistical Methods in Medical Research, 29(11): 3409-3423, 2020.
A. Gupta, T. Liu, S. Shepherd. Clinical Decision Support System to Assess the Risk of Sepsis Using Tree Augmented Bayesian Networks and Electronic Medical Record Data. Health Informatics Journal, 26 (2): 841-861, 2019.
S. Hariharan, T. Liu, M. Z. Shen. Role of Resource Flexibility and Responsive Pricing in Mitigating the Uncertainties in Production Systems. European Journal of Operational Research, 284(2), 498-513, 2020.
S. Piri, D. Delen, T. Liu, A synthetic informative minority over-sampling (SIMO) algorithm embedded into Support Vector Machine to learn from imbalanced datasets. Decision Support Systems. 106: 15-29, 2018. 
S. Piri, D. Delen, T. Liu, W. Paiva, Development of a new metric to identify rare patterns in association analysis: The case of analyzing diabetic comorbidities. Expert Systems with Applications, 94: 112-125, 2018. 
A. Gupta, T. Liu, S. Shepherd, W. Paiva. Using statistical and machine learning methods to evaluate the prognostic accuracy of SIRS and qSOFA. Healthcare Informatics Research. 24(2): 139-147, 2018. 
Y. Zhou, T. Liu, C. Zhao. Backup capacity coordination with renewable energy certificates in a regional electricity market. IISE Transactions, 50(8): 711– 719, 2018. 
Y. Zhou, T. Liu, G. Cai, Impact of in-store promotion and spillover effect on private label introduction. Service Science, 11(2), 96 – 112.
S. Babaei, C. Zhao, L. Fan, T. Liu. Incentive-based coordination mechanism for renewable and conventional energy suppliers. IEEE Transactions on Power Systems, 34(3): 1761-1770: 2018. 
A. Gupta, T. Liu, S. Shepherd. 2019. Clinical decision support system to assess the risk of sepsis using tree augmented Bayesian networks and electronic medical record data. Health Informatics Journal. Published Online 13 Jun 2019.
J. K. Nuamah, Y. Seong, S. Jiang, E. Park, & D. Mountjoy. Evaluating effectiveness of information visualizations using cognitive fit theory: A neuroergonomics approach. Applied Ergonomics88, 103173, 2020.
L. M. Mazur, R. Adams, P. R. Mosaly, M. P. Stiegler, J. K. Nuamah, K. Adapa, ... & L. B. Marks. (2020). Impact of simulation-based training on radiation therapy therapists workload, situation awareness, and performance. Advances in Radiation Oncology.
J. K. Nuamah, P. R. Mosaly, R. Adams, K. Adapa, B. S. Chera, L. B. Marks, & L. M. Mazur. Assessment of Radiation Therapy Technologists’ Workload and Situation Awareness: Monitoring 2 Versus 3 Collocated Display Monitors. Advances in Radiation Oncology, 2020.
L. M. Mazur, R. Adams, P. R. Mosaly, J. K. Nuamah, K. Adapa, & L. B. Marks. Impact of Simulation-based Training and Neurofeedback Interventions on Radiation Technologists Workload, Situation Awareness, and Performance. Practical Radiation Oncology, 2020.
J. K. Nuamah, K. Adapa, & L. Mazur. Electronic health records (EHR) simulation-based training: a scoping review protocol. BMJ open10(8), e036884, 2020.
P. R. Mosaly, R. Adams, G. Tracton, J. Dooley, K. Adapa, J. K. Nuamah, ... & L. M. Mazur. Impact of Workspace Design on Radiation Therapist Technicians’ Physical Stressors, Mental Workload, Situation Awareness, and Performance. Practical Radiation Oncology, 2020.
R. K. Mehta, & J. K. Nuamah. Relationship Between Acute Physical Fatigue and Cognitive Function During Orthostatic Challenge in Men and Women: A Neuroergonomics Investigation. Human Factors, 0018720820936794, 2020.
J. K. Nuamah, C. Rodriguez-Paras, & F. Sasangohar. Veteran-Centered Investigation of Architectural and Space Design Considerations for Post-Traumatic Stress Disorder (PTSD). HERD: Health Environments Research & Design Journal, 1937586720925554, 2020.
Y. Zhu, J. K. Jayagopal, R. K. Mehta, M. Erraguntla, J. K. Nuamah, A. D. McDonald,  ... & S. H. Chang. Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering28(4), 961-969, 2020.
J. K. Nuamah, R. Mehta, & F. Sasangohar. Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth8(6), e15752, 2020.
J. K. Nuamah, R. Mehta, & F. Sasangohar. (2020). Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth8(6), e15752, 2020. 
J. K. Nuamah, F. Sasangohar, M. Erranguntla, & R. K. Mehta. The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies. BMC medical informatics and decision making19(1), 113, 2019.
J. K. Nuamah, & Y. Seong.  A machine learning approach to predict human judgments in compensatory and noncompensatory judgment tasks. IEEE Transactions on Human-Machine Systems49(4), 326-336, 2019.
J. K. Nuamah, W. Mantooth, R. Karthikeyan, R. K. Mehta, & S. C. Ryu, Neural efficiency of human-robotic feedback modalities under stress differs with gender. Frontiers in Human Neuroscience13, 287, 2019.
J. K. Nuamah & Y. Seong. Support vector machine (SVM) classification of cognitive tasks based on electroencephalography (EEG) engagement index. Brain-Computer Interfaces5(1), 1-12, 2018.
B. Yao. Spatiotemporal Modeling and Optimization for Personalized Cardiac Simulation. IISE Transactions on Healthcare Systems Engineering, accepted 2021.
B. Yao, Y. Chen, and, H. Yang, Constrained Markov Decision Process Modeling for Optimal Sensing of Cardiac Events in Mobile Health. IEEE Transactions on Automation Science and Engineering, accepted 2021.
B. Yao and H. Yang. "Spatiotemporal Regularization for Inverse ECG Modeling." IISE Transactions on Healthcare Systems Engineering, just-accepted (2020): 1-25.
B. Yao, C. McLean, and H. Yang. Robust optimization of dynamic route planning in same-day delivery networks with one-time observation of new demand. Networks, 73(4): 434-452, 2019. 
F. Imani, B. Yao, R. Chen, P. Rao, and H. Yang, Joint multifractal and lacunarity analysis of image profiles for manufacturing quality control. ASME Journal of Manufacturing Science and Engineering, 141 (4): 044501, 2019. 
B. Yao and H. Yang, Constrained Markov Decision Process modeling for sequential optimization of additive manufacturing build quality. IEEE Access, 6 (1): 54786-54794, 2018. 
B. Yao, F. Imani, and H. Yang, Markov Decision Process for image-guided additive manufacturing. IEEE Robotics and Automation Letters, 3(4): 2792-2798, 2018. 
B. Yao, F. Imani, A. Sakpal, E. W. Reutzel and H. Yang, Multifractal analysis of image profiles for the characterization and detection of defects in additive manufacturing, ASME Journal of Manufacturing Science and Engineering, 140 (3): 031014, 2018. 
R. Zhu, B. Yao, F. Leonelli, and H. Yang, Optimal sensor placement for space-time potential mapping and data fusion, IEEE Sensors Letters, 3 (1), 2018. 
F. Yousefian, A. Nedich, and U.V. Shanbhag, On stochastic and deterministic quasi-Newton methods for non-strongly convex optimization: Asymptotic convergence and rate analysis, SIAM Journal on Optimization, 30 (2): 1144-1172, 2020.
F. Yousefian, A. Nedich, and U.V. Shanbhag, On stochastic mirror-prox algorithms for stochastic Cartesian variational inequalities: Randomized block coordinate and optimal averaging schemes, Set-Valued and Variational Analysis, 26 (4), 789-819, 2018. 
D. Newton, F. Yousefian, R. Pasupathy, Stochastic gradient descent: recent trends, INFORMS TutORials in Operations Research, 193-220, 2018.
N. Majlesinasab, F. Yousefian, A. Pourhabib, Self-tuned stochastic mirror descent methods for smooth and nonsmooth high-dimensional stochastic optimization. IEEE Transactions on Automatic Control, 64 (10), 4377-4384, 2019.
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