91大神

Assistantships

Research and teaching assistantships, with stipends beginning at $20,100, are available on a competitive basis to full-time students in the COMS program. In addition to the stipend, the university also pays all tuition and most fees for assistantship holders. Non-Tennessee residents who are awarded a graduate assistantship are not required to pay out-of-state fees. To learn more about the types of graduate assistantships and to download an application, visit the Graduate Studies Assistantship page.

The College of Graduate Studies also awards a limited number of scholarships. For additional information and applications, visit the Graduate Studies Finance page.

In addition to assistantships and scholarships, 91大神鈥檚 Office of Financial Aid assists graduate students seeking other forms of financial support while in school.

Student Forms

• COMS Student Handbook
• COMS Degree Plan (.docx)
• COMS Degree Plan (.pdf)
• COMS Qualifying Exam Proposal
• COMS Qualifying Exam Results
• 91大神 Graduate Student Forms

Research in Computational and Data Science

Computation is now regarded as an equal and indispensable partner, along with theory and experiment, in the advance of scientific knowledge. Numerical simulation enables the study of complex systems and natural phenomena that would be too expensive or dangerous, or even impossible, to study by direct experimentation. The quest for increasing levels of detail and realism in such simulations requires enormous computational capacity, and has provided the impetus for dramatic breakthroughs in computer algorithms and architectures. Due to these advances, computational scientists can now solve large-scale problems that were once thought intractable.

Computational Science is in a rapidly growing multidisciplinary area with connections to the sciences, mathematics, and computer science. The program focuses on the development of problem-solving methodologies and robust tools for the solution of scientific problems.

The Computational and Data Science (CDS) program is a broad multidisciplinary area that encompasses applications in science, applied mathematics, numerical analysis, and computer science. Computer models and computer simulations have become an important part of the research repertoire, supplementing (and in some cases replacing) experimentation. Going from application area to computational results requires domain expertise, mathematical modeling, numerical analysis, algorithm development, software implementation, program execution, analysis, validation, and visualization of results. The CDS program comprises all of the above.

91大神鈥檚 program and research includes elements from computer science, applied mathematics, and science. The COMS program focuses on the integration of knowledge and methodologies from all of these disciplines, but is also distinct from the rest.

It is hard to capture how broad the program is without looking at some of the publications recently submitted. They are from across virtually every discipline. However, the common theme is the use of computers to solve cutting-edge scientific problems.

Publications

Publications of the Computational and Data Science Faculty 2018-Present

Bold indicates a faculty author.听

2025

A. Adeogun and M. Faezipour, 鈥淓thical Perspectives into the Utilization of Health Informatics for Cancer Care,鈥� in World Congress in Computer Science, Computer Engineering & Applied Computing, Springer, Cham, 2025, pp. 244鈥�257. .

A. Adeogun and M. Faezipour, 鈥淧atient-Centric Paradigm: A Systems Thinking Approach to Enhance Healthcare,鈥� Healthcare, vol. 13, no. 3, p. 213, 2025. .

S. Adhikari, D. Yan, Z. Jiang, J. Han, Z. Xu, Y. Zhang, A.M. Sainju, & Y. Zhou. (2025). 鈥淪caling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data,鈥� Trans. Spatial Algorithms Syst., 2025. [Online]. Available: .

N.R. Alexander, R.S. Brown, S. Duwadi, S.G. Womble, D. W. Ludwig, K. C. Moe, J. N. Murdock, J. L. Phillips, A. M. Veach, & D. M. Walker. 鈥淟everaging Fine-Scale Variation and Heterogeneity of the Wetland Soil Microbiome to Predict Nutrient Flux on the Landscape,鈥� Microbial Ecology, 2025. .

A. Ali, G. Gao, R. F. Al-Tobasei, R. C. Youngblood, G. C. Waldbieser, B. E. Scheffler, Y. Palti, & M. S. Salem. 鈥淐hromosome level genome assembly and annotation of the Swanson rainbow trout homozygous line,鈥� Scientific Data, vol. 12, no. 1, p. 345, 2025. .

L. Amao and M. Faezipour,鈥滿odeling the Dynamics of Infectious Diseases in a College Campus: A Case Study of the 2016 Harvard Mumps Outbreak,鈥� in听Health Informatics and Medical Systems and Biomedical Engineering, A. Alsadoon et al., Eds., Communications in Computer and Information Science (CCIS), vol. 2259, Springer, pp. 167鈥�179, Apr. 22, 2025. [Online]. Available:听.

L. K. Andersen, N. F. Thompson, J. W. Abernathy, R. O. Ahmed, A. Ali, R. F. Al-Tobasei, B. H. Beck, B. Calla, T. A. Delomas, R. A. Dunham, C. G. Elsik, , et al.,听 (2025). 鈥淎dvancing genetic improvement in the omics era: status and priorities for United States aquaculture,鈥� BMC Genomics, vol. 26, no. 1, p. 155, 2025. .

V. N. Bedekar, Ed., 鈥淓nergy Harvesting Technologies for Wireless Sensors,鈥� Special Issue Guest Editor 鈥� Vishwas Bedekar, MDPI, 2025. [Online]. Available:

W. Dong, J. Yuan, X. Yang, N. Zhang, and M. Zhang, 鈥淨uantitative analysis of cannabinoids by zone heat-assisted DART-MS with in-situ flash derivatization,鈥� Forensic Chem, vol. 42, p. 100647, 2025, .

Y. Gu, J. Ranganathan, and L. Xiong, 鈥淚ncreasing Success and Retention of Female Students in Computer Science by Enhancing Two Key Factors: Math Proficiency and Programming Skills,鈥� in Proc. 19th Annu. Southeastern STEM Educ. Res. Conf., Jan. 2025.

M. A. Hossain, W. Liu, N. Ansari, and M. Samad, 鈥淔ederated meta-RL for network slicing aware VNF placement in 6G core networks,鈥� to be published.

D. C. Jean and S. J. Seo, 鈥淓rror-correcting open-locating-dominating sets,鈥� Congr. Numerantium, vol. 235, pp. 23鈥�40, 2025. [Online]. Available: .

A. Kelly, A. M. Sainju, D. Shrestha, and R. Rimal, 鈥淐olocation Mining: Estimating Neighborhood Relationships and Identifying Regional Patterns,鈥� in Proc. ACMSE 2025, pp. 105鈥�113. .

A. Kelly, A. M. Sainju, D. Shrestha, and R. Rimal, 鈥淐olocation Mining: Identifying Regional Patterns with a Memory-Efficient Approach,鈥� Int. Conf. Geoinformatics and Data Analysis (ICGDA).

A. M. Khaliq, I. O. Sarumi, and K. M. Furati, 鈥淓fficient second-order accurate exponential time differencing for time-fractional advection鈥揹iffusion鈥搑eaction equations with variable coefficients,鈥澨�Math. Comput. Simul., vol. 230, pp. 20鈥�38, 2025, .

A. H. Honain, K. M. Furati, I. O. Sarumi, and A. Q. M. Khaliq, 鈥淕eneralized exponential time differencing for fractional oscillation models,鈥澨�J. Comput. Appl. Math., vol. 461, p. 116456, 2025, doi: 10.1016/j.cam.2024.116456.

D. S. Koti, J. L. Phillips, and F. S. Cottle, 鈥淐ontrastive Point Cloud Pretraining for Enhanced Transformers,鈥� in听Proc. 2024 IEEE 36th Int. Conf. Tools Artif. Intell. (ICTAI), Herndon, VA, USA, 2024, pp. 344鈥�349,听 .

X. Li, L. Cai, and W. Ding, 鈥淢odeling the transmission dynamics of a two-strain dengue disease with infection age,鈥� Int. J. Biomathematics, accepted. [Online]. Available:.

W. Liu, M. A. Hossain, and N. Ansari, 鈥淢obile edge computing for multi-services digital twin-enabled IoT heterogeneous networks,鈥澨�IEEE Trans. Cogn. Commun. Netw., accepted. [Online]. Available: .

Y. Liu and Y. Huang, 鈥淭reatment Effect Estimation using the Propensity Score in Non-randomized Clinical Trials with Unbalanced Treatment Arms,鈥� Ann. Biostat. Biometr. Appl., 2025.

D. W. Ludwig and J. L. Phillips, 鈥淒NAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing,鈥� 2025. .

L. Miao, C. Winfrey, and H. Zhang, 鈥淥utcomes and lessons learned from a first-time National Summer Transportation Institute pre-college program,鈥� in Proc. ASEE Annu. Conf. Expo., Jun. 2025.

D. Ogungbesan, A. Adeogun, A. Adekoya, and M. Faezipour, 鈥淯nderstanding Public Policy Effects on Alcohol-Related Behaviors and Outcomes Using System Dynamics,鈥� World Congress in Computer Science, Computer Engineering & Applied Computing, vol. 2257, pp. 181鈥�192, 2025. .

S. J. Seo and D. Jean, 鈥淔ault-Tolerant Locating Dominating Sets with Error-Correction,鈥� Discrete Mathematics, Algorithms and Applications, accepted. [Online]. Available:听.

J. F. Wallin, 鈥淭he Community of Scholars,鈥� in Educator Reflections: The Power of Our Stories, MT Open Press, 2025, pp. 1鈥�4. .

D. Wang and W. Ding, 鈥淚nnovative Biomarker Exploration in ASD: Combining Graph Neural Networks and Permutation Testing on fMRI Data,鈥� NeuroImage: Reports, vol. 5, no. 2, p. 100249, 2025. .

D. Wang, X. Yang, and W. Ding, 鈥淎utism Spectrum Disorder (ASD) Classification with Three Types of Correlations Based on ABIDE I Data,鈥� Math. Found. Comput., vol. 8, no. 1, pp. 113鈥�127, 2025. .

A. Yinusa and M. Faezipour, 鈥淓valuating Artificial Intelligence Robustness Against FGSM and PGD Adversarial Attacks with L-Norms Perturbations,鈥� in *World Congr. Comput. Sci., Comput. Eng. Appl. Comput.*, vol. 2251, pp. 315鈥�328, 2025. [Online]. Available: .

A. Yinusa and M. Faezipour, 鈥淎 multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing,鈥澨�Sci. Rep., vol. 15, no. 1, pp. 1鈥�11, 2025, .

H. Zhang, V. Bedekar, and E. Ledoux,听Robotics and Control Engineering Textbook. Pressbooks, 2025. [Online]. Available: .

2024

A. Adeogun and M. Faezipour, 鈥淎 system dynamics view of patient鈥檚 perception of AI and Big Data adoption in healthcare,鈥� BMC Proceedings, vol. 18, p. P1, 2024. .

H. Alrammah, Y. Gu, D. Yun, & N. Zhang. 鈥淭ri-Objective Optimization for Large-scale Workflow Scheduling and Execution in the Cloud,鈥� J. Netw. Syst. Manag., vol. 32, no. 4, 2024. .

L. Amao and M. Faezipour, 鈥淎 Comprehensive Review of Electronic Health Records Implementation in Healthcare,鈥� in Proc. Int. Conf. Healthc. Informatics (ICHI), Apr. 2024.

H. N. Bhandari, N. R. Pokhrel, R. Rimal, K. R. Dahal, and B. Rimal, 鈥淚mplementation of Deep Learning Models in Predicting ESG Index Volatility,鈥� Financial Innovation, 2024. [Online]. Available: .

A. Baul, H. M. Terletska, K. M. Tam, and J. Moreno, 鈥淨uantum classical algorithm for the study of phase transitions in the Hubbard model via dynamical mean-field theory,鈥澨�Quantum Rep., vol. 7, no. 2, Art. no. 18, May 2024. [Online]. Available: .

B. Cankaya, K, Ciftci, J. Garcia, N. Madkour, B. Tokgoz, & K. N. Poudel. 鈥淥perational Performance Analysis for Brazilian Aviation System using XAI: A Case Study for Load Factor Analysis,鈥� Journal of Supply Chain and Operations Management, vol. 22, no. 2, p. 39, 2024. .

X. Chai, H. Zhang, X. Lin, Y. Zhou, and Y. Yu, 鈥淢ethod for orthogonal fitting of arbitrary shaped aperture wavefront and aberration removal,鈥� Optical Engineering, 2024.

S. Chen, J. Liu, and Y. Wu, 鈥淓volution of dispersal in advective patchy environments with varying drift rates,鈥� SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, pp. 696鈥�720, 2024. .

Y. Chen and A. Q. M. Khaliq, 鈥淨uantum recurrent neural networks: Predicting the dynamics of oscillatory and chaotic systems,鈥澨�Algorithms, vol. 17, no. 4, pp. 163鈥�181, 2024, .

W. Dong, X.听 Yang, N. Zhang, P. Che, J. Sun, J., J. Harnly, & M. Zhang, 鈥淪tudy of UV-Vis Molar Absorptivity Variation and Quantitation of Anthocyanins Using Molar Relative Response Factor,鈥� Food Chemistry, vol. 444, 2024. .

W. Dong and V. N. Bedekar, 鈥淒esign, Modeling, and Feasibility Analysis of Rotary Valve for Internal Combustion Engine,鈥� Journal of Combustion, 2024. .

K. Givens, D. W. Ludwig, and J. L. Phillips, 鈥淪trXL: Modeling Potentially Infinite Length Sets of Data with Deep Learning,鈥� in Proc. 37th Int. FLAIRS Conf. (FLAIRS 2024), May 2024. .

N. Hasan, S. Mithun, S. Baral, and K. N. Poudel, 鈥淧ersonalized stress detection using a lightweight machine learning framework with convenient wrist-worn sensors,鈥� in听Proc. IEEE SPMB, 2024, pp. 1鈥�7. [Online]. Available:听

L. Huang, Z. Jiang, Y. Wu, and Z. Yuan, 鈥淎nalysis of a diffusive epidemic model with a zero-infection zone,鈥澨�J. Math. Anal. Appl., vol. 538, no. 2, p. 128456, 2024. [Online]. Available:听.

D. Jean and S. J. Seo, 鈥淥pen-locating-dominating sets with error correction,鈥� in听Proc. ACM, 2024, pp. 297鈥�301. [Online]. Available:听.

D. C. Jean and S. J. Seo, 鈥淔ault-tolerant identifying codes in special classes of graphs,鈥� Discuss. Math. Graph Theory, vol. 44, no. 2, pp. 591鈥�611, 2024..

J. Kong, 鈥淒ensity functional theory for fractional charge: Locality, size consistency, and exchange-correlation,鈥� Journal of Chemical Physics, vol. 161, p. 224111, 2024. .

E. S. Kryachko, P. J. MacDougall, and S. Neal, 鈥淯nravelling the hydrogen bonding patterns in telomeric G-quadruplexes: from structure to function,鈥� Molecular Physics, 2024. .

R. N. Leander, G. Owanga, D. Nelson, and Y. Liu, 鈥淎 mathematical model of stroma-supported allometric tumor growth,鈥� Bull. Math. Biol., vol. 86, no. 4, p. 38, 2024. [Online]. Available:听.

S. Liu, Q. Wu, and X. Yang, 鈥淧airwise learning for autism spectrum disorder imbalanced classification,鈥� in听Proc. 2024 IEEE 6th Eurasia Conf. Biomed. Eng., Healthcare Sustain. (ECBIOS), Tainan, Taiwan, 2024, pp. 448鈥�452,

J. Long, A. Q. M. Khaliq, and Y. Xu, 鈥淧hysics-informed encoder-decoder gated recurrent neural network for solving time-dependent PDEs,鈥澨�J. Mach. Learn. Model. Comput., vol. 5, no. 3, pp. 69鈥�85, 2024. [Online]. Available:听

P. J. MacDougall and K. K. Donthula, 鈥淯sing Quantum Atomics and Machine Learning to Advance Picotechnology,鈥� Theor. Chem. Acc., vol. 143, Art. no. 68, 2024, .

A.Mahfooz and J. L. Phillips, 鈥淐onditional Forecasting of Bitcoin Prices Using Exogenous Variables,鈥� IEEE Access, 2024. .

J. May et al., 鈥淯sing the CARLA Simulator to Train A Deep Q Self-Driving Car to Control a Real-World Counterpart on A College Campus,鈥� in Proc. IEEE BigData, 2024.

L. Miao, 鈥淚ntroducing Arduino to mechatronics engineering students via lab activities and a hands-on signature-thinking course project,鈥� in Proc. ASEE Annu. Conf. Expo., Jun. 2024. .

E. Mohammadrezae, P. Dongre, D. Gra膷anin, and H. Zhang, 鈥淪ystematic review of extended reality for smart built environments lighting design simulations,鈥� 2024. [Online]. Available: .

M. Mohebbi and F. Rajabipour, 鈥淩eactive transport modeling to predict leaching of coal-derived fly ash,鈥� Water, Air, & Soil Pollution, vol. 235, no. 2, 2024. [Online]. Available: .

H. G. Momm et al., 鈥淟ong term conservation practice effects on agricultural soil loss from concentrated and distributed sources,鈥� J. Environ. Manage., vol. 371, 2024. [Online]. Available: .

T. Nhan, J. Upadhyay, S. Poudel, S. Wagle, and K. N. Poudel, 鈥淪calable Multimodal Machine Learning for Cervical Cancer Detection,鈥� pp. 502鈥�510, 2024. .

T. Nhan, K. R. Upadhyay, and K. N. Poudel, 鈥淭owards Patient-Centric Healthcare: Leveraging Blockchain for Electronic Health Records,鈥� pp. 1鈥�8, 2024. .

D. Ogungbesan and M. Faezipour, 鈥淚mproving healthcare delivery with artificial intelligence: a diagnostic and prescription recommender system,鈥� BMC Proceedings, vol. 18, p. O13, 2024. .

S. N. Panak, D. Ogungbesan, M. A. Erskine, and M. Faezipour, 鈥淢indful Disclosure: Exploring Privacy Decisions through Neurological Monitoring,鈥� AMCIS 2024 TREOS, Jun. 14, 2024. [Online]. Available:

K. G. Paulson, H. M. Terletska, and H. Fotso, 鈥淲ork Extraction from a Controlled Quantum Emitter,鈥� J. Phys. Photonics, vol. 7, 025023, 2024.听.

N. Pokhrel et al., 鈥淒eep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models,鈥� Software, 2024. .

T. Qin et al., 鈥淐omparative Transcriptome Analysis of Deep-Rooting and Shallow-Rooting Potato (Solanum tuberosum L.) Genotypes under Drought Stress,鈥� Plants, vol. 11, p. 2024, 2022. .

W. Qin, L. Niu, Y. You, S. Cui, C. Chen, and Z. Li,听鈥淓ffects of conservation tillage and straw mulching on crop yield, water use efficiency, carbon sequestration and economic benefits in the Loess Plateau region of China: A meta-analysis,鈥澨�Soil Tillage Res., vol. 238, p. 106025, 2024, .

C. Rangi, H. Fotso, H. M. Terletska, J. Moreno, and K. M. Tam, 鈥淒isorder enhanced thermalization in interacting many-particle system,鈥澨�Phys. Rev. B, vol. 111, no. L161122, 2025, .

G. Raymo et al., 鈥淔ecal microbiome analysis uncovers hidden stress effects of low stocking density on rainbow trout,鈥� Anim. Microbiome, vol. 6, no. 1, 2024. .

R. Rimal, B. Rimal, H. N. Bhandari, K. R. Dahal, and N. R. Pokhrel, 鈥淩eal Estate Market Prediction using Deep Learning Models,鈥� Ann. Data Sci., 2024. .

A. Romer et al., 鈥淓ffects of snake fungal disease (ophidiomycosis) on the skin microbiome across two major experimental scales,鈥� Conserv. Biol., 2024. .

R. Salako and Y. Wu, 鈥淥n degenerate reaction-diffusion epidemic models with mass action or standard incidence mechanism,鈥� Eur. J. Appl. Math., pp. 1鈥�28, 2024. .

R. Salako and Y. Wu, 鈥淥n the dynamics of an epidemic patch model with mass鈥恆ction transmission mechanism and asymmetric dispersal patterns,鈥� Stud. Appl. Math., vol. 152, no. 4, pp. 1208鈥�1250, 2024. .

M. S. Salem et al., 鈥淔unctional annotation of regulatory elements in rainbow trout uncovers roles of the epigenome in genetic selection and genome evolution,鈥� GigaScience, vol. 13, 2024. .

S. J. Seo and D. Jean, 鈥淥ptimal Error-detection system for Identifying Codes,鈥� Networks, vol. 85, pp. 61鈥�75, 2024. [Online]. Available: .

S. J. Seo and D. Jean, 鈥淔ault-tolerant Locating-Dominating Sets on the Infinite Tumbling Block Graph,鈥� Australas. J. Combin., vol. 90, pp. 29鈥�45, 2024.

S. A. Streeter et al., 鈥淢itotic gene regulation by the N-MYC-WDR5-PDPK1 nexus,鈥� BMC Genomics, vol. 25, no. 1, p. 360, 2024. .

T. Sun, H. Wang, and D. Wang, 鈥淩obust Prediction Intervals for Valuation of Large Portfolios of Variable Annuities: A Comparative Study of Five Models,鈥� Computational Economics, 2024. [Online]. Available: .

M. I. Swindall et al., 鈥淪mart Digital Edition Management: A Blockchain Framework for Papyrology,鈥� 2024. .

M. I. Swindall et al., 鈥淭owards a Platform for AI-Assisted Papyrology,鈥� Joint Proc. ACM IUI Workshops, 2024. .

H. Tian, X. Zhuang, A. Yan, and H. Zhang, 鈥淎 novel multiple-image encryption with multi-petals structured light,鈥� Sci. Rep., 2024. .

J. Upadhya, K. Poudel, and J. Ranganathan, 鈥淎 Comprehensive Approach to Early Detection of Workplace Stress with Multi-Modal Analysis and Explainable AI,鈥� May 2024. .

J. Upadhya, K. Poudel, and J. Ranganathan, 鈥淎dvancing Medical Image Diagnostics through Multi-Modal Fusion: Insights from MIMIC Chest X-Ray Dataset Analysis,鈥� Jul. 2024. .

J. Upadhya et al., 鈥淰ulnFusion: Exploiting Multimodal Representations for Advanced Smart Contract Vulnerability Detection,鈥� in Proc. 2024 6th Int. Conf. Blockchain Comput. Appl. (BCCA), 2024, pp. 505鈥�515. .

J. Upadhya et al., 鈥淨uadraCode AI: Smart Contract Vulnerability Detection with Multimodal Representation,鈥� in Proc. 2024 33rd Int. Conf. Comput. Commun. Netw. (ICCCN), 2024, pp. 1鈥�9. .

J. Upadhyay, K. N. Poudel, and J. Ranganathan, 鈥淎dvancing Medical Image Diagnostics through Multi-Modal Fusion: Insights from MIMIC Chest X-Ray Dataset Analysis,鈥� 2024, pp. 1鈥�8. .

J. Upadhya, J. Vargas, K. Poudel, and J. Ranganathan, 鈥淚mproving the efficiency of Multimodal approach for Chest X-ray,鈥� Mar. 2024. .

L. Vargas-Gast茅lum et al., 鈥淗erptile gut microbiomes: a natural system to study multi-kingdom interactions between filamentous fungi and bacteria,鈥� MSphere, 2024. .

S. Wagle, S. Pandey, S. Poudel, and K. Poudel, 鈥淏rain Tumor Segmentation and Classification Using ACGAN with U-Net and Independent CNN-Based Validation,鈥� in听Proc. 2024 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, PA, USA, 2024, pp. 1鈥�11,听 .

L. Wang et al., 鈥淭aming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains,鈥� Dec. 2024.听 .

Z. Wang et al., 鈥淟aboratory channel widening quantification using deep learning,鈥� Geoderma, vol. 450, p. 117034, 2024. .

R. Wells et al., 鈥淐ropland water erosion estimates simulated by RUSLE2 and WEPP: Results from two initial studies,鈥� J. Soil Water Conserv., vol. 75, no. 5, pp. 215鈥�232. [Online]. Available: .

G. West et al., 鈥淎 deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments,鈥� in Proc. 1st Workshop Mach. Learn. Anc. Lang. (ML4AL 2024), pp. 177鈥�185, 2024. [Online]. Available: .

G. T. West et al., 鈥淚ncorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri,鈥� J. Data Min. Digit. Humanit., 2024. [Online]. Available: .

C. Winfrey and L. Miao, 鈥淯sing Reinforcement Learning to Optimize Isolated Traffic Signals with High Priority Vehicles,鈥� in听Proc. 2024 7th Int. Conf. Artif. Intell. Big Data (ICAIBD), Chengdu, China, 2024, pp. 265鈥�270, .

L. Xiong, X. Chen, J. Liang, X. Cao, P. Zhu, and M. Zhao, 鈥淭ree-based Machine Learning Methods for Analytics of Online Shoppers鈥� Purchasing Intentions,鈥� Int. J. Data Sci., vol. 9, no. 2, 2024. [Online]. Available: .

L. Xiong, Y. Zhu, and S. M. Zaza, 鈥淓nhancing Data Diversity and Traceability to Mitigate Bias in Healthcare AI: A Blockchain-Driven Approach,鈥� in Proc. 2024 Computers and People Research Conf. (SIGMIS-CPR 鈥�24), pp. 1鈥�2, 2024. [Online]. Available: .

A. Yinusa and M. Faezipour, 鈥淓nhancing Occupational Health and Safety in Industrial Workplaces Through System Dynamics Modeling,鈥� Published, 2024. [Online]. Available: .

A. Yinusa and M. Faezipour, 鈥淯nveiling inequity: state-by-state disparities in years of potential life lost by race,鈥� *BMC Proc.*, vol. 18, P30, 2024. [Online]. Available: .

H. Zhang, D. Cao, W. Zhou, and K. Currie, 鈥淟aser and optical radiation weed control: a critical review,鈥� *J. Precision Agric.*, 2024. [Online]. Available: .

H. Zhang and R. Rajan, 鈥淯nderstanding Embodied Robotics Learning Using Video Based LLM Methods,鈥� published. [Online]. Available: .

H. Zhang, S. Byler, and W. Zhou, 鈥淎 Novel Contactless Soil Moisture Measurement with Laser,鈥� published. [Online]. Available: .

L. Zhang, Z. Lu, L. Song, and J. Xu, 鈥淐rossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing,鈥� IEEE Trans. Mobile Comput., vol. 23, no. 5, pp. 5027鈥�5039, May 2024, .

D. Zhu, Y. Khaliq, H. Wang, T. Sun, and D. Wang, 鈥淓nhancing mortgage rate prediction: a comprehensive evaluation of computational statistical approaches,鈥� *Int. J. Comput. Math.*, vol. 101, no. 4, pp. 373鈥�385, 2024. [Online]. Available: .

2023

A. A. Adeogun and M. Faezipour, 鈥淎dvancing Child and Maternal Health: A System Dynamics Exploration of Policy Interventions to Tackle Socioeconomic Disparities,鈥� in听Proc. 2023 Int. Conf. Comput. Sci. Comput. Intell. (CSCI), Las Vegas, NV, USA, 2023, pp. 1318鈥�1325, .

A. A. Adeogun and M. Faezipour, 鈥淏ig Data in Healthcare: Acquisition, Management, and Visualization Using System Dynamics,鈥� in Proc. Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2023, pp. 611鈥�618. .

A. A. Adeogun and M. Faezipour, 鈥淓xploring Risk Factors in PDAC Using System Dynamics,鈥� in Proc. Congr. Comput. Sci., Comput. Eng., Appl. Comput. (CSCE), Las Vegas, NV, USA, 2023, pp. 1368鈥�1373. .

L. Amao and M. Faezipour, 鈥淗ealth Informatics for Contact Tracing in a Pandemic Response: A Perspective,鈥� in Proc. Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2023, pp. 1484鈥�1487. .

L. Amao and M. Faezipour, 鈥淢odeling Obesity Prevention Programs to Reduce Overweight Rates at Schools: A Perspective,鈥� in Proc. Congr. Comput. Sci., Comput. Eng., Appl. Comput. (CSCE), 2023, pp. 1290鈥�1293. .

S. Chen, J. Shi, Y. Wu, and Z. Shuai, 鈥淓volution of dispersal in advective patchy environments,鈥� Journal of Nonlinear Science, vol. 33, no. 3, p. 40, 2023. .

S. Chen, J. Liu, and Y. Wu, 鈥淥n the impact of spatial heterogeneity and drift rate in a three-patch two-species lotka鈥搗olterra competition model over a stream,鈥� Zeitschrift F眉r Angewandte Mathematik Und Physik, vol. 74, no. 3, p. 117, 2023. .

Z. Chen, H. Zhang, W. Zhou, and Y. Yu, 鈥淧hase aberration adaptive compensation in digital holography based on phase imitation and metric optimization,鈥� 2023.

Z. Chen, W. Zhou, L. Duan, H. Zhang, H. Zheng, X. Xia, Y. Yu, & T. Poon. 鈥淎utomatic elimination of phase aberrations in digital holography based on Gaussian 1蟽 criterion and histogram segmentation,鈥� Optics Express, 2023. .

W. Ding, J. Phillips, Z. Qu, and R. Zaretzki, 鈥淪pecial Issue: Machine Learning, Mathematical and Statistical Modeling for Systems Biology,鈥澨�Math. Biosci. Eng., [Online]. Available:听.

E. Dohner, H. M. Terletska, and H. F. Fotso, 鈥淭hermalization of a disordered interacting system under an interaction quench,鈥� Phys. Rev. B, vol. 108, no. 14, p. 144202, 2023. .

J. E. Farzidayeri, R. A. Taylor, and V. N. Bedekar, 鈥淒esign of a multicylinder crank-slider wind energy harvester utilizing Faraday鈥檚 law of electromagnetic induction,鈥� Applied Energy, vol. 351, 2023. .

J. E. Farzidayeri, W. W. Boles, and V. N. Bedekar, 鈥淎 Simple Type 2 Lever for Lifting and Moving Monoliths,鈥� Journal of Engineering and Architecture, vol. 11, no. 1, pp. 1鈥�6, 2023. .

M. Faezipour, M. Faezipour, and S. Pourreza, 鈥淩esiliency and Risk Assessment of Smart Vision-Based Skin Screening Applications with Dynamics Modeling,鈥� Sustainability, vol. 15, no. 18, 2023. .

M. Faezipour, 鈥淎 System Dynamics Approach to Exploring Personality Traits in Young Children,鈥� published.

S. Hamdan, K. DuBray, J. Treutel, R. Paudyal, and K. N. Poudel, 鈥淩educing MEG interference using machine learning,鈥澨�Mach. Learn. with Appl., vol. 12, p. 100462, 2023. [Online]. Available:听.

N. Hasan, S. Hamden, S. Poudel, J. Vargas, and K. N. Poudel, 鈥淧rediction of length-of-stay at intensive care unit (ICU) using machine learning based on MIMIC-III database,鈥� in听Proc. IEEE CAI, 2023, pp. 321鈥�323. [Online]. Available:听.

H. Hebert et al., 鈥淐onnecting online graduate students to the university community,鈥澨�J. Higher Educ. Theory Pract., 2023. [Online]. Available:听

Y. Huang, L. Zhang, and J. Xu, 鈥淎dversarial group linear bandits and its application to collaborative edge inference,鈥� unpublished, Aug. 29, 2023.

D. C. Jean and S. J. Seo, 鈥淧rogress on fault-tolerant locating-dominating sets,鈥� Discrete Math. Algorithms Appl., vol. 15, no. 2, 2023. .

D. C. Jean and S. J. Seo, 鈥淥n redundant locating-dominating sets,鈥� Discrete Appl. Math., vol. 329, pp. 106鈥�125, 2023. .

D. C. Jean and S. J. Seo, 鈥淥ptimal error-detecting open-locating-dominating set on the infinite triangular grid,鈥� Discuss. Math. Graph Theory, vol. 43, no. 2, pp. 445鈥�455, 2023. [Online]. Available: .

N. Ji and D. Ye, 鈥淭he number of cliques in graphs covered by long cycles,鈥� SIAM J. Discrete Math., vol. 37, no. 2, pp. 917鈥�924, 2023. [Online]. Available: .

Y. Jia, R. Wells, H. G. Momm, Y. Yaoxin Zhang, and S. Bennett, 鈥淧hysically based numerical model for the landscape evolution of soil-mantled watersheds driven by rainfall and overland flow,鈥� Journal of Hydrology, vol. 620, Part A, p. 129419, 2023. .

Z. Jiang et al., 鈥淗idden Markov Forest for Terrain-Aware Flood Inundation Mapping on Earth Imagery,鈥� 2023. .

M. Lei, D. Jiang, and H. Zhang, 鈥淲ireless secret sharing game for Internet of Things,鈥� Sustainability, vol. 15, no. 9, p. 7427, 2023. [Online]. Available:听

Y. Liu, L. Yang, and L. Xiong, 鈥淧erformance Commitments and the Properties of Analyst Earnings Forecasts: Evidence from Chinese Reverse Merger Firms,鈥� Int. Rev. Financ. Anal., vol. 89, p. 102775, 2023, .

P. J. MacDougall, 鈥淲e are family!,鈥� Chem. Eng. News, vol. 101, no. 7, p. 30, Feb. 27, 2023.

V. A. Manathunga, 鈥淭he coefficients of the jones polynomial,鈥� J. Knot Theory Ramifications, vol. 32, no. 7, 2023. .

V. A. Manathunga and L. Deng, 鈥淧ricing pandemic bonds under Hull鈥揥hite鈥搒tochastic logistic growth model,鈥澨�Risks, vol. 11, no. 9, 2023, Art. no. 155, .

J. May and K. Poudel, 鈥淎 Brief Survey of Offline Explainability Metrics for Conversational Recommender Systems,鈥� in Proc. IEEE SPMB, 2023, pp. 1鈥�9. .

G. Metri and X. Yang, 鈥淕roup-level analysis of relations between resting-state functional connectivity and arithmetic ability using CONN,鈥� in Proc. CSCI, 2023, pp. 1509鈥�1514. .

L. Miao, D. Jiang, and H. Zhang, 鈥淲ireless secret sharing game for Internet of Things,鈥� Sustainability, Special Issue: Advances in Smart City and Intelligent Transportation Systems, 2023. [Online]. Available: .

M. Mohebbi, B. Smith, and J. G. Mendez, 鈥淎 Survey Study of Ergonomic Perceptions among University Students in Middle Tennessee,鈥� in听Proc. XXXVth Annu. Int. Occup. Ergonomics Safety Conf., 2023, pp. 45鈥�51.

S. Muhammedet al., 鈥淚mproved Classification of Alzheimer鈥檚 Disease With Convolutional Neural Networks,鈥� in听Proc. 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, PA, USA, 2023, pp. 1鈥�7, .

T. D. Nguyen, Y. Wu, T. Tang, et al., 鈥淚mpact of resource distributions on competition of species in stream environment,鈥� Journal of Mathematical Biology, vol. 87, 2023. .

T. D. Nguyen, Y. Wu, A. Veprauskas, et al., 鈥淢aximizing metapopulation growth rate and biomass in stream networks,鈥� SIAM Journal on Applied Mathematics, vol. 83, no. 6, pp. 2145鈥�2168, 2023. .

S. Olukayode, C. Froese Fischer, and A. Volkov, 鈥淩evisited relativistic Dirac鈥揌artree鈥揊ock X-ray scattering factors. II. Chemically relevant cations and selected monovalent anions for atoms with Z = 3 鈥�112,鈥� Acta Crystallographica Section A: Foundations and Advances, vol. 79, pp. 229鈥�245, 2023. .

S. Olukayode, C. Froese Fischer, and A. Volkov, 鈥淩evisited relativistic Dirac鈥揌artree鈥揊ock X-ray scattering factors. I. Neutral atoms with Z = 2鈥�118,鈥� Acta Crystallographica Section A: Foundations and Advances, vol. 79, pp. 59鈥�79, 2023. .

E. Oluwasakin, T. Torku, A. Yinusa, S. Hamden, S. Poudel, N. Hassan, J. Vargas, and K. Poudel, 鈥淢inimization of high computational cost in data preprocessing and modeling using MPI4Py,鈥� Machine Learning with Applications, vol. 13, 2023. .

S. Poudel, R. Paudyal, C. Burak, and K. Poudel, 鈥淐ryptocurrency price and volatility predictions with machine learning,鈥� J. Mark. Anal., vol. 11, pp. 642鈥�660, 2023. .

K. N. Poudel et al., 鈥淗ealthCare Text Analytics Using Recent ML Techniques,鈥� pp. 134鈥�142, 2023. .

W. Qin et al., 鈥淚mpact of fertilization and grazing on soil N and enzyme activities in a karst pasture ecosystem,鈥� Geoderma, vol. 437, p. 116578, 2023. .

J. Ranganathan and G. Abuka, 鈥淭ext Summarization using Transformer Model,鈥� presented at AMCIS 2023, Mar. 2023. .

R. Rimal, 鈥淚dentifying the Neurocognitive Difference Between Two Groups Using Supervised Learning,鈥� Stat. Optim. Inf. Comput., 2023. .

R. Salako and Y. Wu, 鈥淕lobal dynamics of epidemic network models via construction of Lyapunov functions,鈥澨�arXiv preprint听arXiv:2311.06441, 2023, [Online]. Available:听.

M. Salem, R. F. Al Tobasei, Y. Palti, G. Gao, and H. Zhou, 鈥淪tatus Of The Assembly And Functional Annotation Of Rainbow Trout Genome,鈥� Aquaculture America 2023, p. 489. .

R. Rimal, M. Brannon, Y. Wang, and X. Yang, 鈥淐omparative study of machine learning methods on ASD classification,鈥� Int. J. Data Sci. Anal., 2023. .

C. Shen, L. Zhang, Z. Yang, M. Mortazavi, X. Song, L. Peng, and H. Yu, 鈥淓nvisioning a Next Generation Extended Reality Conferencing System With Efficient Photorealistic Human Rendering,鈥� Published, Jun. 28, 2023. .

C. Shen, W. Zhou, H. Zhang, Y. Yu, and C. Liu, 鈥淐ombined method of face super-resolution and rotation,鈥� Published, 2023. [Online]. Available: .

I. Shrik, J. F. Wallin, M. B. Hein, A. C. Friedli, R. F. Al Tobasei, M. Sharp, and A. Fine, 鈥淢easuring learner behavior using wearable AR,鈥� NSF Grant, vol. 23, pp. 23鈥�24, 2023.

F. Tawfik and Y. Gu, 鈥淎n Advanced Convolutional Neural Network for Detecting Chest X-ray Abnormalities,鈥� Int. J. Mach. Learn., vol. 13, no. 4, pp. 136鈥�141, 2023.

F. Tawfik and Y. Gu, 鈥淎n Advanced Convolutional Neural Network for Detecting Chest X-ray Abnormalities,鈥� in Int. Conf. Image Process. Mach. Intell. (IPMI), Feb. 2023.

G. Toban, K. Poudel, and D. Hong, 鈥淩EM Sleep Stage Identification with Raw Single Channel EEG,鈥� Bioengineering, vol. 10, no. 9, 2023. .

N. Tratnik and D. Ye, 鈥淩esonance Graphs on Perfect Matchings of Graphs on Surfaces,鈥� Graphs Combin., vol. 39, no. 4, 2023. .

J. F. Wallin et al., 鈥淐yberLearnAR: The development of a wearable augmented reality system for teaching STEM,鈥� NSF Grant, vol. 95鈥�96, 2023.

J. F. Wallin, 鈥淐hatGPT Vision vs the Real World,鈥� 2023.

J. F. Wallin, 鈥淐ourse Policies for Using AI 鈥� a Blog post about AI ethics and policies,鈥� 2023.

J. F. Wallin, 鈥淐hatGPT and AI-generated Code: The Impact of Natural Language Models on Software Creation and Sharing,鈥� Astronomy Source Code Library Blog, 2023.

D. Wang, R. Sun, and L. B. Green, 鈥淧rediction Intervals of Loan Rate for Mortgage Data Based on Bootstrapping Technique: A Comparative Study,鈥� Math. Found. Comput., vol. 6, no. 2, 2023. .

G. West, Z. Sinkala, and J. Wallin, 鈥淎 kernel mixing strategy for use in stochastic optimization and adaptive Markov chain Monte Carlo contexts,鈥� Front. Appl. Math. Stat., Accepted, 2023. [Online]. Available: .

G. West, M. Ogden, and J. Wallin, 鈥淎 robust fitness function and genetic algorithm to morphologically constrain the dynamics of interacting galaxies,鈥� Astron. Comput., vol. 42, p. 100691, 2023. [Online]. Available: .

C. Winfrey, P. Meleby, and L. Miao, 鈥淯sing Big Data and Machine Learning to Rank Traffic Signals in Tennessee,鈥� J. Traffic Transp. Eng., 2023. [Online]. Available: .

C. Winfrey and L. Miao, 鈥淯tilizing MATLAB in Combination with Lego Mindstorm EV3 Kits for a First-year Engineering Course,鈥� in Proc. ASEE Annu. Conf. Expo., Jun. 2023. [Online]. Available: .

L. Xiong, J. Luo, H. Vise, and M. White, 鈥淒istributed Least-Squares Monte Carlo for American Option Pricing,鈥� Risks, vol. 11, no. 5, p. 145, 2023. [Online]. Available: .

L. Xiong et al., 鈥淎utoReserve: A Web-Based Tool for Personal Auto Insurance Loss Reserving with Classical and Machine Learning Methods,鈥� Risks, vol. 11, no. 7, 2023. [Online]. Available: .

S. Xu, V. A. Manathunga, and D. Hong, 鈥淔ramework on BERT Based Prediction Models for Pricing of Warranty Policies,鈥� Variance, vol. 16, no. 2, 2023. [Online]. Available: .

S. Xu, S. Jagadamma, S. Cui, R. Nave, and J. Kubesch, 鈥淔orage species composition influenced soil health in organic forage transitioning systems,鈥� Agric. Ecosyst. Environ., vol. 342, p. 108228, 2023.

X. Yang and R. Rimal, 鈥淔unctional Connectivity Based Classification for Autism Spectrum Disorder using Spearman鈥檚 Rank Correlation,鈥� Published, 2023. [Online]. Available: .

A. Yinusa and M. Faezipour, 鈥淥ptimizing Healthcare Delivery: A Model for Staffing, Patient Assignment, and Resource Allocation,鈥� *Appl. Syst. Innov.*, vol. 6, no. 5. [Online]. Available:

H. Zhang, S. Byler, and W. Zhou, 鈥淢ultiple Wavelength Object Recognition with Spectrometer in the Wild for Precision Agriculture,鈥� published. [Online]. Available:

A. Zhang, M. Lei, J. Zhou, and A. Yan, 鈥淎rtificial Intelligence for Privacy Conservation in Remote Learning 鈥� Privacy and Safety in Online Learning,鈥� *91大神 Open Press*, 2023. [Online]. Available:

H. Zhang, L. Miao, J. Zhong, and A. Yan, 鈥淎rtificial Intelligence for Privacy Conservation in Remote Learning,鈥� *MT Open Press*, 2023. [Online]. Available:

L. Zhang, J. Zhong, and W. Zhou, 鈥淧recision Optical Weed Removal Evaluation with Laser,鈥� published. [Online]. Available:

L. Zhang, M. Li, C. Chen, and J. Xu, 鈥淚L-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment,鈥� published.

L. Zhang and J. Xu, 鈥淓3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation,鈥� published, May 9, 2023.

2022

F. Agusto, D. Bond, A. Cohen, W. Ding, R. Leander, & A. Royer. 鈥淥ptimal Impulse Control of West-Nile Virus,鈥� AIMS Mathematics, vol. 7, no. 10, pp. 19597鈥�19628, 2022.

R. O. Ahmed, A. Ali, R.F. Al-Tobasei, T. Leeds, B. Kenney, & M. S. Salem. 鈥淲eighted Single-Step GWAS Identifies Genes Influencing Fillet Color in Rainbow Trout,鈥� Genes, vol. 13, no. 8, 2022. .

A. Ali, W. M. Shaalan, R. F. Al-Tobasei, & M. S. Salem.听 鈥淐oding and Noncoding Genes Involved in Atrophy and Compensatory Muscle Growth in Nile Tilapia,鈥� Cells, vol. 11, no. 16, 2022.

H. N. Bhandari, B. Rimal, N. R. Pokhrel, R. Rimal, and K. R. Dahal, 鈥淟STM-SDM: An integrated framework of LSTM implementation for sequential data modeling,鈥� Software Impacts, vol. 14, 2022. .

H.N. Bhandari, B. Rimal, N. R. Pokhrel, R. Rimal, K.R. Dahal, &听 R. K C Khatri.听鈥淧redicting stock market index using LSTM,鈥� Machine Learning with Applications, 2022. .

L. Cai, L. Bao, L. Rose, J. Summers, and W. Ding, 鈥淢alaria Modeling and Optimal Control Using Sterile Insect Technique and Insecticide-Treated Net,鈥� Applicable Analysis, 2022.

L. Cai, L. Bao, L. Rose, J. Summers, and W. Ding, 鈥淢alaria modeling and optimal control using sterile insect technique and insecticide-treated net,鈥� Applicable Analysis, vol. 101, no. 5, pp. 1715鈥�1734, 2022. .

S. Chen, J. Shi, Z. Shuai, and Y. Wu, 鈥淕lobal dynamics of a Lotka-Volterra competition patch model,鈥� Nonlinearity, vol. 35, pp. 817鈥�842, 2022.

S. Chen, J. Liu, and Y. Wu, 鈥淚nvasion analysis of a two鈥恠pecies Lotka鈥揤olterra competition model in an advective patchy environment,鈥� Studies in Applied Mathematics, vol. 149, no. 3, pp. 762鈥�797, 2022. .

S. Chen, J. Shi, S. Zhi, and Y. Wu, 鈥淭wo novel proofs of spectral monotonicity of perturbed essentially nonnegative matrices with applications in population dynamics,鈥� SIAM Journal on Applied Mathematics, vol. 82, no. 2, pp. 654鈥�676, 2022.听.

C. Shen, W. Zhou, H. Zhang, and Y Yu, 鈥淣oise2Noise self-supervised deep learning holographic despeckling method,鈥� published. [Online]. Available: h

E. Dohner, H. M. Terletska, K. Tam, J. Moreno, & H. F.听 Fotso, et al., 鈥淣onequilibrium DMFT+ CPA for correlated disordered systems,鈥� Physical Review B, vol. 106, no. 19, p. 195156, 2022.

R. Dohner and S. J. Seo, 鈥淭he NP-completeness of Redundant Open-Locating-Dominating Set,鈥� arXiv, Cornell University, 2022. .

L. Duan, G. Huang, W.听 Zhou, H. Zhang, & Y. Yu. 鈥淰ibration parameter detection based on digital holography,鈥� 2022.

J. E. Farzidayeri and V. N. Bedekar, 鈥淒esign of a V-Twin with Crank-Slider Mechanism Wind Energy Harvester Using Faraday鈥檚 Law of Electromagnetic Induction for Powering Small Scale Electronic Devices,鈥� Energies, vol. 15, no. 17, 2022. .

M. Faezipour, 鈥淧atient Safety Strategies in the Incidence of Ambulatory Care through Adverse Events,鈥� Oct. 2022, published.

M. Faezipour, 鈥淓ffects of Screen Time on Children from a Systems Engineering Perspective,鈥� Published, Apr. 2022.

M. Faezipour, M. Faezipour, and B. Bauman, 鈥淒evelopment of a Causal Model to Study the Disparate Effects of COVID-19 on Minorities,鈥� in Proc. 2021 Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2022, pp. 1271鈥�1274. .

S. P. Graham, et al., 鈥淕eorgia Distribution and Characterization of Species within the听Eurycea quadridigitata颁辞尘辫濒别虫,鈥澨�Southeastern Naturalist, 2022. .

M. S. Grisnik, J. B. Grinath, J. P. Munafo, and D. M. Walker, 鈥淔unctional Redundancy in Bat Microbial Assemblage in the Presence of the White Nose Pathogen,鈥� Microb. Ecol., 2022. .

W. He, A. M. Sainju, Z. Jiang, D. Yan, and Y. Zhou, 鈥淓arth imagery segmentation on terrain surface with limited training labels: A semi-supervised approach based on physics-guided graph co-training,鈥澨�ACM Trans. Intell. Syst. Technol., vol. 13, no. 2, pp. 1鈥�22, 2022. [Online]. Available:听

A. Hill, M. S. Grisnik, and D. M. Walker, 鈥淏acterial skin assemblages of sympatric salamanders are primarily shaped by host genus,鈥澨�Microb. Ecol., 2022. [Online]. Available:听

A. Hill, M. S. Grisnik, and D. M. Walker, 鈥淏acterial skin assemblages of sympatric salamanders are primarily shaped by host genus,鈥� Microb. Ecol., 2022. [Online]. Available:听

S. Iskakov, H. M. Terletska, and E. Gull, 鈥淪ingle- and two-particle finite size effects in interacting lattice systems,鈥� Phys. Rev. B, vol. 106, no. 23, p. 235106, 2022. [Online]. Available:听.

Z. Jiang et al., 鈥淲eakly Supervised Spatial Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels,鈥� ACM Trans. Intell. Syst. Technol., vol. 13, no. 25, pp. 1鈥�20, 2022. .

M. Karabin et al., 鈥淎b initio approaches to high-entropy alloys: a comparison of CPA, SQS, and supercell methods,鈥� Journal of Materials Science, vol. 57, no. 23, pp. 10677鈥�10690, 2022.

J. Kubesch, R. Nave, A. Griffith, S. Cui, and G. Bates, 鈥淓conomic outcomes for transitioning to organic forage production,鈥� Crop Forage Turfgrass Manage, vol. 8, p. e220178, 2022. 鈥� (supervised graduate student as first author).

J. Kubesch et al., 鈥淭ransitional organic forage systems in the U.S. Southeast: Production and nutritive value,鈥� Agron. J., vol. 114, pp. 1269鈥�1283, 2022. . (supervised student as the first author)

R. N. Leander et al., 鈥淥ptimal impulse control of West Nile Virus,鈥澨�AIMS Math., vol. 7, no. 10, pp. 19597鈥�19628, 2022. [Online]. Available:听

D. Leitner, P. Meleby, and L. Miao, 鈥淩ecent advances in traffic signal performance evaluation,鈥� J. Traffic Transp. Eng. (Engl. Ed.), 2022. [Online]. Available:听

C. Li and T. Tsahai, 鈥淪keletal based image processing for CNN based image classification,鈥� Proc. 10th Int. Congr. Ind. Appl. Math., accepted.

Z. Li et al., 鈥淥ptimizing wheat yield, water, and nitrogen use efficiency with water and nitrogen inputs in China: A synthesis and life cycle assessment,鈥澨�Front. Plant Sci., vol. 13, p. 930484, 2022. [Online]. Available:听

Z. Li et al., 鈥淧roductivity and nutritive value of no-input minimum tillage organic forage systems,鈥澨�Nutr. Cycl. Agroecosyst., vol. 124, pp. 335鈥�357, 2022.

Z. Li, D. Menefee, X. Yang, S. Cui, and N. Rajan, 鈥淪imulating productivity of dryland cotton using APSIM, climate scenario analysis, and remote sensing,鈥� Agric. For. Meteorol., vol. 325, p. 109148, 2022. [Online]. Available:听听 (corresponding author)

W. Liu, M. N. Ellingham, and D. Ye, 鈥淢inimal quadrangulations of surfaces,鈥澨�J. Combin. Theory Ser. B, vol. 157, pp. 235鈥�262, 2022. [Online]. Available: 鈥�

P. J. MacDougall, 鈥淎CS Comment: Only YOU can prevent truth decay!,鈥� Chem. Eng. News, vol. 100, no. 16, p. 45, May 6, 2022. [Online]. Available:

E. Madadian, J. Rahimi, M. Mohebbi, and D. Simakov, 鈥淕rape pomace as an energy source for the food industry: A thermochemical and kinetic analysis,鈥� Food Bioprod. Process., vol. 132, pp. 177鈥�187, 2022, .

V. A. Manathunga and D. Zhu, 鈥淯nearned premium risk and machine learning techniques,鈥� Front. Appl. Math. Stat., vol. 118, 2022. .

B. D. E. McNiven et al., 鈥淥ne- and two-particle properties of the weakly interacting two-dimensional Hubbard model in proximity to the van Hove singularity,鈥� Phys. Rev. B, vol. 106, no. 3, p. 035145, 2022. .

P. Meleby, L. Miao, and C. Winfrey, 鈥淒evelopment of a Traffic Signal Performance Ranking Online Database for the State of Tennessee,鈥� in Proc. Int. Conf. Transp. Dev., 2022. .

D. Menefee, N. Rajan, and S. Cui, 鈥淢odeling Carbon Uptake of Dryland Maize using High Resolution Satellite Imagery,鈥� Front. Remote Sens., vol. 3, p. 810030, 2022.

L. Miao and H. Zhang, 鈥淲ireless secret sharing game between two legitimate users and an eavesdropper,鈥� in Proc. 8th Int. Conf. Networks Commun. (NWCOM), Sep. 2022. [Online]. Available:

J. Miller, S. Naderi, C. B. Mullinax, and J. L. Phillips, 鈥淎ttention is not enough,鈥� in Proc. 44th Annu. Meeting Cogn. Sci. Soc., [Online]. Available:

M. Mohebbi, F. Rajabipour, and E. Madadian, 鈥淎 framework for identifying the host phases in coal-derived fly ash,鈥� Fuel, vol. 314, 2022. [Online]. Available:

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X. Yang, N. Zhang, and P. Schrader, 鈥淎 Study of Brain Networks for Autism Spectrum Disorder Classification using Resting-State Functional Connectivity,鈥� *Mach. Learn. Appl.*, Published.

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2021

R. F. Al-Tobasei, A. Ali, L. S. Garcia Andre, D. Lourenco, T. Leeds, and M. Salem. 鈥淕enomic Predictions for Fillet Yield and Firmness in Rainbow Trout Using Reduced-Density SNP Panels,鈥� BMC Genomics, vol. 22, no. 1, 2021. .

H. Alrammah and Y. Gu, 鈥淲orkflow Scheduling in Clouds Using Pareto Dominance for Makespan, Cost and Energy,鈥� in Proc. IEEE Int. Conf. Commun. (ICC), 2021.

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M. Faezipour and M. Faezipour, 鈥淪mart Healthcare Monitoring Apps with a Flavor of Systems Engineering,鈥� in Smart and Sustainable Engineering for Next Generation Applications, 2021. .

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C. Lewis, E. Proynov, J. Yu, and J. Kong, 鈥淎nalyzing cases of significant nondynamic correlation with DFT using the atomic populations of effectively localized electrons,鈥� unpublished, Sep. 2021.

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J. Weatherly, P. Macchi, and A. Volkov, 鈥淥n the Calculation of the Electrostatic Potential, Electric Field and Electric Field Gradient from the Aspherical Pseudoatom Model. II. Evaluation of the Properties in an Infinite Crystal,鈥� Acta Crystallogr. Sect. A Found. Adv., vol. 77, no. 5, 2021. [Online]. Available: .

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2020

A. Ali, R. F. Al-Tobasei, D. Lourenco, T. Leeds, B. Kenney, and M. Salem 2020a. 鈥淕enome-Wide Scan for Common Variants Associated with Intramuscular Fat and Moisture Content in Rainbow Trout,鈥� BMC Genomics, vol. 21, no. 1, 2020.

A. Ali, R. F. Al-Tobasei, D. Lourenco, T. Leeds, B. Kenney, and M. Salem. 2020b. 鈥淕enome-Wide Identification of Loci Associated with Growth in Rainbow Trout,鈥� BMC Genomics, vol. 21, no. 1, 2020.

H. Alrammah, Y. Gu, and Z. Liu, 鈥淭ri-Objective Workflow Scheduling and Optimization in Heterogeneous Cloud Environments,鈥� in Proc. IEEE Int. Parallel Distrib. Process. Symp. Workshops (IPDPSW), 2020. .

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L. Xiong and D. Hong, 鈥淯sing Monte Carlo Simulation to Predict Captive Insurance Solvency,鈥� in Proc. 2020 4th Int. Conf. Compute Data Anal., New York, NY, USA: ACM, 2020. [Online]. Available: .

S. Xu, S. E. Barbosa, and D. Hong, 鈥淏ERT Feature Based Model for Predicting the Helpfulness Scores of Online Customers Reviews,鈥� in Lecture Notes in Computer Science, 2020. [Online]. Available: .

X. Yang et al., 鈥淐ropping System Productivity and Evapotranspiration in the Semiarid Loess Plateau of China under Future Temperature and Precipitation Changes: An APSIM-Based Analysis of Rotational vs. Continuous Systems,鈥� *Agric. Water Manag.*, vol. 229, Feb. 2020. [Online]. Available: .

Y. Liu and Y. Huang, 鈥淪emiparametric Likelihood Estimation with Clayton-Oakes Model for Multivariate Current Status Data,鈥� *J. Biostat. Biometr.*, 2020. [Online]. Available:

L. Zhang, Y. Lu, R. Luo, D. Ye, and S. Zhang, 鈥淓dge Coloring of Signed Graphs,鈥� *Discrete Appl. Math.*, vol. 282, Aug. 2020. [Online]. Available:

2019

A. Ali, R. F. Al-Tobasei, D. Lourenco, T. Leeds, B. Kenney, and M. Salem. 鈥淕enome-Wide Association Study Identifies Genomic Loci Affecting Filet Firmness and Protein Content in Rainbow Trout,鈥� Front. Genet., vol. 10, May 2019.

S. Alzahrani and A. Q. M. Khaliq, 鈥淔ourier Spectral Exponential Time Differencing Methods for Multi-Dimensional Space-Fractional Reaction鈥揇iffusion Equations,鈥� J. Comput. Appl. Math., vol. 361, Dec. 2019. .

A. G. Bratsos and A. Q. M. Khaliq, 鈥淎n Exponential Time Differencing Method of Lines for Burgers鈥揊isher and Coupled Burgers Equations,鈥� Journal of Computational and Applied Mathematics, vol. 356, Aug. 2019. .

P. Chapagain, B. Arivett, B. M. Cleveland, D. M. Walker, and M. Salem.听鈥淎nalysis of the Fecal Microbiota of Fast- and Slow-Growing Rainbow Trout (Oncorhynchus Mykiss),鈥� BMC Genomics, vol. 20, no. 1, 2019. .

S. Chen, J. Shi, Z. Shuai, and Y. Wu, 鈥淪pectral Monotonicity of Perturbed Quasi-Positive Matrices with Applications in Population Dynamics,鈥� Nov. 2019.

K.A. Connors, A. Beasley, M. G. Barron, S. E. Belanger, M. Bonnell, J. L. Brill, J.L. Phillips, et al. 2019. 鈥淐reation of a Curated Aquatic Toxicology Database: EnviroTox.鈥� Environmental Toxicology and Chemistry听38 (5).听.

S. Cui et al., 鈥淢achine Learning-Based Microarray Analyses Indicate Low-Expression Genes Might Collectively Influence PAH Disease,鈥� PLOS Computational Biology, vol. 15, no. 8, 2019. .

W. Ding et al., 鈥淓xperience and Lessons Learned from Using SIMIODE Modeling Scenarios,鈥� PRIMUS, vol. 29, no. 6, 2019. .

W. E. Fitzgibbon, J. J. Morgan, G. F. Webb, and Y. Wu, 鈥淪patial Models of Vector-Host Epidemics with Directed Movement of Vectors over Long Distances,鈥澨�Math. Biosci., vol. 312, Jun. 2019. .

J. P. Gulizia, K. M. Downs, and S. Cui, 鈥淜udzu (Pueraria montanavar.听lobata) Age Variability Effects on Total and Nutrient-Specific in Situ Rumen Degradation,鈥澨�J. Appl. Anim. Res., vol. 47, no. 1, 2019. .

J. Gulizia, K. Downs, and S. Cui, 鈥淭he Influence of Kudzu (Pueraria montanavar.听lobata) Age on in Situ Rumen Degradation,鈥澨�J. Anim. Sci., vol. 97, Suppl. 1, 2019. .

J. He, E. Wei, D. Ye, and S. Zhai, 鈥淥n perfect matchings in matching covered graphs,鈥澨�J. Graph Theory, vol. 90, no. 4, 2019. [Online]. Available:听

D. Hong, 鈥淥n scattered data representations using bivariate splines,鈥� in Handbook of Analytic-Computational Methods in Applied Mathematics, G. Anastassiou, Ed. Chapman and Hall/CRC, 2019. [Online]. Available:听

C. Li, M. Hains, J. Wallin, and Q. Wu, 鈥淎pplying data science methods for early prediction of undergraduate student retention,鈥� in Proc. 2019 Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2019. [Online]. Available:听

C. Li, E. Imeokparia, M. Ketzner, and T. Tsahai, 鈥淭eaching the NAO robot to play a human-robot interactive game,鈥� in Proc. 2019 Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2019. [Online]. Available:听

Y. Li, S. Cui, S. X. Chang, and Q. Zhang, 鈥淟iming effects on soil pH and crop yield depend on lime material type, application method and rate, and crop species: A global meta-analysis,鈥� J. Soils Sediments, vol. 19, no. 3, 2019. [Online]. Available:听

Y. Li et al., 鈥淎 global synthesis of the effect of water and nitrogen input on maize (Zea mays) yield, water productivity and nitrogen use efficiency,鈥澨�Agric. For. Meteorol., vol. 268, Apr. 2019. [Online]. Available:听

Y. Li et al., 鈥淩esidue retention and minimum tillage improve physical environment of the soil in croplands: A global meta-analysis,鈥澨�Soil Tillage Res., vol. 194, Nov. 2019. [Online]. Available:听

J. Liang, J. Zou, and D. Hong, 鈥淣on-Gaussian penalized PARAFAC analysis for fMRI data,鈥� Front. Appl. Math. Stat., vol. 5, Aug. 2019. [Online].

Y. Liu et al., 鈥淨uadrangular Embeddings of Complete Graphs and the Even Map Color Theorem,鈥� J. Comb. Theory Ser. B, vol. 139, Nov. 2019, .

Y. Liu, 鈥淒ata Augmentation and Bayesian Methods for Multicategory Support Vector Machines,鈥� Int. J. Data Sci. Anal., vol. 5, no. 3, 2019, .

P. Magal, G. F. Webb, and Y. Wu, 鈥淎 Spatial Model of Honey Bee Colony Collapse Due to Pesticide Contamination of Foraging Bees,鈥� Bull. Math. Biol., vol. 81, pp. 4908鈥�4931, 2019.

P. Magal, G. F. Webb, and Y. Wu, 鈥淥n the Basic Reproduction Number of Reaction-Diffusion Epidemic Models,鈥� SIAM J. Appl. Math., vol. 79, no. 1, 2019, .

D. S. Maynard et al., 鈥淐onsistent Trade-Offs in Fungal Trait Expression across Broad Spatial Scales,鈥� Nat. Microbiol., vol. 4, no. 5, 2019. .

F. Miao, Y. Li, S. Cui, S. Jagadamma, G. Yang, and Q. Zhang, 鈥淪oil extracellular enzyme activities under long-term fertilization management in the croplands of China: A meta-analysis,鈥� Nutrient Cycling in Agroecosystems, vol. 114, no. 2, 2019. [Online]. Available:

A. Minoshima et al., 鈥淧athogenicity and taxonomy of Tenuignomonia styracis gen. et sp. nov., a new monotypic genus of Gnomoniaceae on Styrax obassia in Japan,鈥� Mycoscience, vol. 60, no. 1, 2019. [Online]. Available:

H. G. Momm et al., 鈥淓nhanced field-scale characterization for watershed erosion assessments,鈥� Environ. Model. Softw., vol. 117, Jul. 2019. [Online]. Available:

H. G. Momm et al., 鈥淓valuation of sediment load reduction by natural riparian vegetation in the Goodwin Creek Watershed,鈥� Trans. ASABE, vol. 62, no. 5, 2019. [Online]. Available:

H. G. Momm et al., 鈥淐rop conversion impacts on runoff and sediment loads in the Upper Sunflower River Watershed,鈥� Agric. Water Manage., vol. 217, May 2019. [Online]. Available:

S. P. Morton, J. B. Phillips, and J. L. Phillips, 鈥淭he molecular basis of pH-modulated HIV Gp120 binding revealed,鈥� Evol. Bioinform., vol. 15, Jan. 2019. [Online]. Available:

D. Nguyen and A. Volkov, 鈥淔ast Analytical Evaluation of Intermolecular Electrostatic Interaction Energies Using the Pseudoatom Representation of the Electron Density. II. The Fourier Transform Method,鈥� Acta Crystallographica Section A Foundations and Advances, vol. 75, no. 3, 2019. .

M. Noroozi, M. Pensky, and R. Rimal, 鈥淪parse Popularity Adjusted Stochastic Block Model,鈥� Oct. 2019.

J. Paki, H. Terletska, S. Iskakov, and E. Gull, 鈥淐harge Order and Antiferromagnetism in the Extended Hubbard Model,鈥� Phys. Rev. B, vol. 99, no. 24, 2019. .

T. Pirtle, L. Rumble, M. Klug, F. Walker, S. Cui, and N. Phillips, 鈥淚mpact of Biochar and Different Nitrogen Sources on Forage Radish Production in Middle Tennessee,鈥� J. Adv. Agric., vol. 10, Jan. 2019. .

K. N. Poudel and W. M. Robertson, 鈥淏loch Surface Wave Excitation Using a Maximum Length Sequence Grating Structure,鈥� in Opt. Components Mater. XVI, SPIE, 2019. .

C. Qin, R. R. Wells, H. G. Momm, X. Xu, G. V. Wilson, and F. Zheng, 鈥淧hotogrammetric Analysis Tools for Channel Widening Quantification under Laboratory Conditions,鈥� Soil Tillage Res., vol. 191, Aug. 2019. .

J. Ranganathan and A. Tzacheva, 鈥淓motion Mining in Social Media Data,鈥� Procedia Comput. Sci., vol. 159, 2019. .

V. Reshniak, A. Khaliq, and D. Voss, 鈥淪low-Scale Split-Step Tau-Leap Method for Stiff Stochastic Chemical Systems,鈥� J. Comput. Appl. Math., vol. 361, Dec. 2019. .

R. Rimal and M. Pensky, 鈥淒ensity Deconvolution with Small Berkson Errors,鈥� Math. Methods Stat., vol. 28, no. 3, 2019. .

W. M. Robertson, I. Shirk, and E. Campbell, 鈥淎coustic Waveguide Impedance Matching via Helmholtz Resonator Mediated Extraordinary Acoustic Transmission,鈥� AIP Adv., vol. 9, no. 3, 2019. .

S. Sharma, N. Rajan, S. Cui, S. Maas, K. Casey, S. Ale, and R. Jessup, 鈥淐arbon and Evapotranspiration Dynamics of a Non-Native Perennial Grass with Biofuel Potential in the Southern U.S. Great Plains,鈥� Agric. For. Meteorol., vol. 269鈥�270, May 2019. [Online]. Available: .

A. Tzacheva, J. Ranganathan, and R. Jadi, 鈥淢ulti-Label Emotion Mining From Student Comments,鈥� in Proc. 2019 Int. Conf. Inf. Educ. Innov. (ICIEI), 2019. .

P. R. Varadwaj, A. Varadwaj, H. M. Marques, and P. J. MacDougall, 鈥淭he Chalcogen Bond: Can It Be Formed by Oxygen?,鈥� Phys. Chem. Chem. Phys., vol. 21, no. 36, 2019. .

D. M. Walker et al., 鈥淰ariability in Snake Skin Microbial Assemblages across Spatial Scales and Disease States,鈥� The ISME Journal, vol. 13, no. 9, pp. 2209鈥�2222, 2019. .

M. Wang et al., 鈥淧erformance of New Density Functionals of Nondynamic Correlation on Chemical Properties,鈥� J. Chem. Phys., vol. 150, no. 20, 2019. .

Y. Liu, 鈥淎 Signal Detection Analysis of World Health Organization鈥檚 Pharmacovigilance Database,鈥� *Int. J. Clin. Biostat. Biom.*, vol. 5, no. 2, 2019. [Online]. Available:

S. Zhai, E. Wei, J. He, and D. Ye, 鈥淗omeomorphically Irreducible Spanning Trees in Hexangulations of Surfaces,鈥� *Discrete Math.*, vol. 342, no. 10, 2019. [Online]. Available:

Y. Zhang et al., 鈥淟ocally Self-Consistent Embedding Approach for Disordered Electronic Systems,鈥� *Phys. Rev. B*, vol. 100, no. 5, 2019. [Online]. Available:

J. Zou, Z. Li, Z. Guo, and D. Hong, 鈥淪uper-Resolution Reconstruction of Images Based on Microarray Camera,鈥� *Comput. Mater. Continua*, vol. 60, no. 1, 2019. [Online]. Available:

2018

A. Ali, R. F. Al-Tobasei, B. Kenney, T. D. Leeds, and M. Salem. 鈥淚ntegrated Analysis of LncRNA and MRNA Expression in Rainbow Trout Families Showing Variation in Muscle Growth and Fillet Quality Traits,鈥� Scientific Reports, vol. 8, no. 1, 2018. .

A. T. Barlow, N. E. Gerstenschlager, J. F. Strayer, A. E. Lischka, D.C. Stephens, K. S. Hartland, and J. C. Willingham.听鈥淪caffolding for Access to Productive Struggle,鈥� Mathematics Teaching in the Middle School, vol. 23, no. 4, 2018. .

A.T. Barlow, A. E. Lischka, J. C. Willingham, K. Hartland, and D. C. Stephens. 鈥淭he Relationship of Implicit Theories to Elementary Teachers鈥� Patterns of Engagement in a Mathematics-Focused Professional Development Setting,鈥� Mid-Western Educational Researcher, vol. 30, no. 3, pp. 93鈥�122, 2018

M. Faezipour and S. Ferreira, 鈥淎 System Dynamics Approach for Sustainable Water Management in Hospitals,鈥� IEEE Syst. J., vol. 12, no. 2, 2018. .

M. Grisnik et al., 鈥淗ost and Geographic Range of Snake Fungal Disease in Tennessee, USA,鈥澨�Herpetol. Rev., vol. 49, pp. 682鈥�690, Oct. 2018.

A. J. Hill et al., 鈥淐ommon cutaneous bacteria isolated from snakes inhibit growth of听Ophidiomyces ophiodiicola,鈥澨�EcoHealth, vol. 15, no. 1, 2018. [Online]. Available:听

S. Iskakov, H. M. Terletska, and E. Gull, 鈥淢omentum-space cluster dual-fermion method,鈥� Phys. Rev. B, vol. 97, no. 12, 2018. [Online]. Available:听

S. N. Jator and V. Manathunga, 鈥淏lock Nystr枚m type integrator for Bratu鈥檚 equation,鈥� J. Comput. Appl. Math., vol. 327, Jan. 2018. [Online]. Available:听

M. Jovanovich and J. Phillips, 鈥淣-Task Learning: Solving Multiple or Unknown Numbers of Reinforcement Learning Problems,鈥� Cognitive Science, 2018.

L. Kang et al., 鈥淐ircuit Decompositions and Shortest Circuit Coverings of Hypergraphs,鈥� Graphs and Combinatorics, vol. 34, no. 2, 2018. .

V. H. Khiabani, A. S. Nasab, and V. N. Bedekar, 鈥淎n Experimental Adaptive Teaching Practice,鈥� in Proc. Int. Annu. Conf. Amer. Soc. Eng. Manage., 2018.

R. N. Leander, W. Ding, and R. A. Salinas, 鈥淒edication to Suzanne Lenhart,鈥� Nat. Resour. Model., vol. 31, no. 4, 2018. [Online]. Available:听

Q. Li, W. C. Shiu, P. K. Sun, and D. Ye, 鈥淥n the anti-Kekul茅 problem of cubic graphs,鈥� Art Discrete Appl. Math., vol. 2, no. 1, 2018. [Online]. Available:听

Z. Li et al., 鈥淚n search of long-term sustainable tillage and straw mulching practices for a maize-winter wheat-soybean rotation system in the Loess Plateau of China,鈥澨�Field Crops Res., vol. 217, Mar. 2018. [Online]. Available:听

Z. Li et al., 鈥淒eveloping sustainable cropping systems by integrating crop rotation with conservation tillage practices on the Loess Plateau, a long-term imperative,鈥澨�Field Crops Res., vol. 222, Jun. 2018. [Online]. Available:听

A. E. Lischka, N. E. Gerstenschlager, D. C. Stephens, J. F. Strayer, and A. T. Barlow, 鈥淢aking room for inspecting mistakes,鈥� Math. Teach., vol. 111, no. 6, 2018. [Online]. Available:听

P. Magal, G. F. Webb, and Y. Wu, 鈥淥n a Vector-Host Epidemic Model with Spatial Structure,鈥� Nonlinearity, vol. 31, pp. 5589鈥�5614, Feb. 2018, .

E. W. Malone et al., 鈥淲hich Species, How Many, and from Where: Integrating Habitat Suitability, Population Genomics, and Abundance Estimates into Species Reintroduction Planning,鈥� Glob. Change Biol., vol. 24, no. 8, 2018. .

H. G. Momm, R. R. Wells, and S. J. Bennett, 鈥淒isaggregating soil erosion processes within an evolving experimental landscape,鈥� Earth Surf. Process. Landf., vol. 43, no. 2, 2018. [Online]. Available:

S. P. Morton, J. Howton, and J. L. Phillips, 鈥淪ub-class differences of pH-dependent HIV GP120-CD4 interactions,鈥� in Proc. 2018 ACM Int. Conf. Bioinf., Comput. Biol., Health Inform., 2018. [Online]. Available:

D. Nguyen, Z. Kisiel, and A. Volkov, 鈥淔ast Analytical Evaluation of Intermolecular Electrostatic Interaction Energies Using the Pseudoatom Representation of the Electron Density. I. The L枚wdin 伪-Function Method,鈥� Acta Crystallographica Section A Foundations and Advances, vol. 74, no. 5, 2018. .

B. Paneru, A. Ali, R. Al-Tobasei, B. Kenney, and M. Salem, 鈥淐rosstalk among LncRNAs, MicroRNAs and MRNAs in the Muscle 鈥楧egradome鈥� of Rainbow Trout,鈥� Sci. Rep., vol. 8, no. 1, 2018. .

J. L. Phillips, M. E. Colvin, and S. Newsam, 鈥淒imensionality Estimation of Protein Dynamics Using Polymer Models,鈥� in Proc. ACM Int. Conf. Bioinformatics, Comput. Biol., Health Informatics, 2018. .

J. Ranganathan, N. Hedge, A. S. Irudayaraj, and A. A. Tzacheva, 鈥淎utomatic Detection of Emotions in Twitter Data,鈥� in Proc. Workshop on Opinion Mining, Summarization and Diversification, ACM, 2018. .

J. Ranganathan, A. S. Irudayaraj, A. Bagavathi, and A. A. Tzacheva, 鈥淎ctionable Pattern Discovery for Sentiment Analysis on Twitter Data in Clustered Environment,鈥� J. Intell. Fuzzy Syst., vol. 34, no. 5, 2018. .

M. Salem et al., 鈥淕enome-Wide Association Analysis With a 50K Transcribed Gene SNP-Chip Identifies QTL Affecting Muscle Yield in Rainbow Trout,鈥� Front. Genet., vol. 9, Sep. 2018. .

A. Schulman and S. Barbosa, 鈥淭ext Genre Classification Using Only Parts of Speech,鈥� in Proc. 2018 Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2018. doi: .

L. A. Shuttleworth, D. I. Guest, and D. M. Walker, 鈥淭he Fungus, the Code and the Mysterious Publication Date: Why Gnomoniopsis Smithogilvyi Is Still the Correct Name for the Chestnut Rot Fungus,鈥� IMA Fungus, vol. 9, no. 2, 2018. [Online]. Available: .

I. Syzonenko and J. L. Phillips, 鈥淗ybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations,鈥� Proc. 2018 ACM Int. Conf. Bioinformatics, Comput. Biol., Health Informatics, 2018. .

P. Tanguay et al., 鈥淨PCR Quantification of Ophiognomonia Clavigignenti-Juglandacearum from Infected Butternut Trees under Different Release Treatments,鈥� Forest Pathology, vol. 48, no. 3, 2018. .

H. Terletska, T. Chen, J. Paki, and E. Gull, 鈥淐harge Ordering and Nonlocal Correlations in the Doped Extended Hubbard Model,鈥� Phys. Rev. B, vol. 97, no. 11, 2018. .

H. Terletska et al., 鈥淪ystematic Quantum Cluster Typical Medium Method for the Study of Localization in Strongly Disordered Electronic Systems,鈥� Appl. Sci., vol. 8, no. 12, 2018. .

A. Tzacheva and J. Ranganathan, 鈥淓motion Mining from Student Comments: A Lexicon Based Approach for Pedagogical Innovation Assessment,鈥� Eur. J. Educ. Appl. Psychol., Sep. 2018. .

D. M. Walker et al., 鈥淎 Salamander鈥檚 Top down Effect on Fungal Communities in a Detritivore Ecosystem,鈥� FEMS Microbiol. Ecol., vol. 94, no. 12, 2018. .

M. Wallerberger et al., 鈥淯pdated Core Libraries of the ALPS Project,鈥� Nov. 2018.

Y. Wu, Y. Yang, and D. Ye, 鈥淎 Note on Median Eigenvalues of Bipartite Graphs,鈥� MATCH Commun. Math. Comput. Chem., vol. 80, pp. 853鈥�862, 2018.

Y. Wu and D. Ye, 鈥淐ircuit Covers of Cubic Signed Graphs,鈥� J. Graph Theory, vol. 89, no. 1, 2018. [Online]. Available: .

Y. Wu and X. Zou, 鈥淒ynamics and Profiles of a Diffusive Host鈥揚athogen System with Distinct Dispersal Rates,鈥� J. Differ. Equ., vol. 264, no. 8, 2018. [Online]. Available: .

X. Yang et al., 鈥淢odelling the Effects of Conservation Tillage on Crop Water Productivity, Soil Water Dynamics and Evapotranspiration of a Maize-Winter Wheat-Soybean Rotation System on the Loess Plateau of China Using APSIM,鈥� *Agric. Syst.*, vol. 166, Oct. 2018. [Online]. Available: .

X. Yang and D. Ye, 鈥淚nverses of Bipartite Graphs,鈥� *Combinatorica*, vol. 38, no. 5, 2018. [Online]. Available: .

L. M. W. Yasarer, R. L. Bingner, and H. G. Momm, 鈥淐haracterizing Ponds in a Watershed Simulation and Evaluating Their Influence on Streamflow in a Mississippi Watershed,鈥� *Hydrol. Sci. J.*, vol. 63, no. 2, 2018. [Online]. Available: .

D. Ye, 鈥淢aximum Matchings in Regular Graphs,鈥� *Discrete Math.*, vol. 341, no. 5, 2018. [Online]. Available: .

S. Zhai, D. Alrowaili, and D. Ye, 鈥淐lar Structures vs Fries Structures in Hexagonal Systems,鈥� *Appl. Math. Comput.*, vol. 329, Jul. 2018. [Online]. Available:

Y, Zhang et al., 鈥淥rigin of Localization in Ti-Doped Si,鈥� *Phys. Rev. B*, vol. 98, no. 17, 2018. [Online]. Available:

S.-L. Zheng, Y.-S. Chen, X. Wang, C. Hoffmann, and A. Volkov, 鈥淔rom the Source: Student-Centred Guest Lecturing in a Chemical Crystallography Class,鈥� *J. Appl. Crystallogr.*, vol. 51, no. 3, 2018. [Online]. Available:

Research Groups

The Faculty in the Computational Science Program at 91大神 have a diverse set of research interests that cross between traditional departmental boundaries. The groups below outline some of the core research interests of our faculty. In some cases, faculty straddle two or more of the areas below. However, for simplicity, faculty are only associated with a single group on this page.