Computational and Data Science
Interdisciplinary Ph.D. in Computational & Data Science. Research-intensive, programming, communication skills.
Computational and Data Science, Ph.D.
The Computational and Data Science Ph.D. is an interdisciplinary program that includes faculty from Agriculture, Biology, Chemistry, Computer Science, Engineering Technology, Geosciences, Mathematical Sciences, and Physics and Astronomy.
The program is research-intensive and applied in nature, seeking to produce graduates with competency in the following three key areas:
- Mastery of the mathematical methods of computation as applied to scientific research investigations coupled with a firm understanding of the underlying fundamental science in at least one disciplinary specialization.
- Deep knowledge of programming languages, scientific programming, and computing technology so that graduates can adapt and grow as computing systems evolve
- Effective written and oral communication skills so that graduates may assume leadership positions in academia, national labs, and industry.
The Computational and Data Science Ph.D. program is for students who are working toward their doctoral degrees. However, with a few extra courses and requirements, most students in the program can complete a Master's degree in Mathematics, Computer Science, or Data Science before they graduate.
News Briefs
Alum find success in field after graduation
Dr. Robert Michael began his graduate studies at MTSU in 2008 in the Department of Mathematics. In 2014, he completed his Ph.D. in Computational Science and his master’s degree in Computer Science. His dissertation focused on computational chemistry.
After graduating, he became an HPC specialist at St. Jude Children’s Research Hospital, after which he became Oak Ridge National Laboratory’s Chief Data Architect. He is currently an HPC System Architect at Roche Sequencing Solutions.
Michael, J. R. (2014).(Order No. 3668039). Available from Dissertations & Theses @ ֲý; ProQuest Dissertations & Theses Global. (1647473197).
Alum's research focuses on mathematical models of tumor growth
Dr. Richard Ewool began his undergraduate studies in Ghana. After joining the Ph.D. program, his research and undergraduate studies focused on Mathematical models of tumor growth. After graduating, he became an Assistant Professor of Mathematics at Baptist Health Services University in Memphis.
Ewool, R. C. (2016).(Order No. 10146829). Available from Dissertations & Theses @ ֲý; ProQuest Dissertations & Theses Global. (1829637016).
News Briefs
Alum find success in field after graduation
Dr. Robert Michael began his graduate studies at MTSU in 2008 in the Department of Mathematics. In 2014, he completed his Ph.D. in Computational Science and his master’s degree in Computer Science. His dissertation focused on computational chemistry.
After graduating, he became an HPC specialist at St. Jude Children’s Research Hospital, after which he became Oak Ridge National Laboratory’s Chief Data Architect. He is currently an HPC System Architect at Roche Sequencing Solutions.
Michael, J. R. (2014).(Order No. 3668039). Available from Dissertations & Theses @ ֲý; ProQuest Dissertations & Theses Global. (1647473197).
Alum's research focuses on mathematical models of tumor growth
Dr. Richard Ewool began his undergraduate studies in Ghana. After joining the Ph.D. program, his research and undergraduate studies focused on Mathematical models of tumor growth. After graduating, he became an Assistant Professor of Mathematics at Baptist Health Services University in Memphis.
Ewool, R. C. (2016).(Order No. 10146829). Available from Dissertations & Theses @ ֲý; ProQuest Dissertations & Theses Global. (1829637016).
Related Media
Computational and Data Science, Ph.D.
Since computational and data science involves using computers to solve scientific problems, graduates can work as research scientists in almost any field of science or engineering in industry or government, or at a university. MTSU’s program has focus areas in bioinformatics, biological modeling, computational chemistry, computational graph theory, computational physics, engineering and differential equations, high performance computing, and machine learning and remote sensing. In each of these areas, MTSU faculty and students are working on cutting-edge research projects that cut across traditional departmental boundaries.
Employers of MTSU alumni include
Our graduates from the Computational and Data Science Ph.D. program have found jobs or received offers in companies and academic positions at universities including:
- St. Jude's Children's Hospital
- John Hopkin's University
- Southern Arkansas State University
- Texas A&M
- Oak Ridge National Laboratory
- Duke University
MTSU’s Career Development Center
MTSU offers a comprehensive Career Development Center that serves students throughout the full student experience and beyond. They collaborate with faculty and staff to equip students with the tools to be marketable to the world of work and continuing education.
Students can schedule an appointment or check online resources and job boards at mtsu.edu/career.
Students can find current internship opportunities by talking to faculty and visiting the University job and internship board called .
Wondering what you can do with your major? Check out our guides.
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-ֲý 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, MTSU's 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
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 (COMS) 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 COMS program comprises all of the above.
MTSU’s 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.
Al-Tobasei, Rafet,Ali Ali, Andre L.S. Garcia, Daniela Lourenco, Tim Leeds, and Mohamed Salem. 2021. “Genomic Predictions for Fillet Yield and Firmness in Rainbow Trout Using Reduced-Density SNP Panels.”BMC Genomics22 (1)..
Ali, Ali,Rafet Al-Tobasei, Brett Kenney, Timothy D. Leeds, and Mohamed Salem. 2018. “Integrated Analysis of LncRNA and MRNA Expression in Rainbow Trout Families Showing Variation in Muscle Growth and Fillet Quality Traits.”Scientific Reports8 (1)..
Ali, Ali,Rafet Al-Tobasei, Daniela Lourenco, Tim Leeds, Brett Kenney, and Mohamed Salem. 2019. “Genome-Wide Association Study Identifies Genomic Loci Affecting Filet Firmness and Protein Content in Rainbow Trout.”Frontiers in Genetics10 (May)..
———. 2020a. “Genome-Wide Scan for Common Variants Associated with Intramuscular Fat and Moisture Content in Rainbow Trout.”BMC Genomics21 (1)..
———. 2020b. “Genome-Wide Identification of Loci Associated with Growth in Rainbow Trout.”BMC Genomics21 (1).
Alrammah, Huda, andYi Gu. 2021. “Workflow Scheduling in Clouds Using Pareto Dominance for Makespan, Cost and Energy.” InICC 2021 - IEEE International Conference on Communications. IEEE..
Alrammah, Huda,Yi Gu, and Zhifeng Liu. 2020. “Tri-Objective Workflow Scheduling and Optimization in Heterogeneous Cloud Environments.” In2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE..
Alshehri, Asma, John Ford, andRachel Leander. 2020. “The Impact of Maturation Time Distributions on the Structure and Growth of Cellular Populations.”Mathematical Biosciences and Engineering17 (2)..
Alzahrani, S.S., and A.Q.M. Khaliq. 2019. “Fourier Spectral Exponential Time Differencing Methods for Multi-Dimensional Space-Fractional Reaction–Diffusion Equations.”Journal of Computational and Applied Mathematics361 (December)..
Bagheri, Minoo, Hemant K. Tiwari, Anarina L. Murillo,Rafet Al-Tobasei, Donna K. Arnett, Tobias Kind, Dinesh Kumar Barupal, et al. 2020. “A Lipidome-Wide Association Study of the Lipoprotein Insulin Resistance Index.”Lipids in Health and Disease19 (1)..
Barlow, Angela T., Natasha E. Gerstenschlager, Jeremy F. Strayer, Alyson E. Lischka,D.Christopher Stephens, Kristin S. Hartland, and J. Christopher Willingham. 2018. “Scaffolding for Access to Productive Struggle.”Mathematics Teaching in the Middle School23 (4)..
Barlow, Angela T., Alyson E. Lischka, James C. Willingham, Kristin Hartland, andD. Christopher Stephens. 2018. “The Relationship of Implicit Theories to Elementary Teachers’ Patterns of Engagement in a Mathematics-Focused Professional Development Setting. .”Mid-Western Educational Researcher30 (3): 93–122.
Barron, Mace G.,Ryan R. Otter, Kristin A. Connors, Aude Kienzler, and Michelle R. Embry. 2021. “Ecological Thresholds of Toxicological Concern: A Review.”Frontiers in Toxicology3 (March)..
Beaubien, Gale B., Connor I. Olson, andRyan R. Otter. 2019. “The Role of Sexual Dimorphism and Tissue Selection in Ecotoxicological Studies Using the Riparian Spider Tetragnatha Elongata.”Bulletin of Environmental Contamination and Toxicology103 (2)..
Beaubien, Gale B., Connor I. Olson, Andrew C. Todd, andRyan R. Otter. 2020. “The Spider Exposure Pathway and the Potential Risk to Arachnivorous Birds.”Environmental Toxicology and Chemistry39 (11)..
Biala, T.A., andA.Q.M. Khaliq. 2021. “A Fractional-Order Compartmental Model for the Spread of the COVID-19 Pandemic.”Communications in Nonlinear Science and Numerical Simulation98 (July)..
Bratsos, A.G., andA.Q.M. Khaliq. 2019. “An Exponential Time Differencing Method of Lines for Burgers–Fisher and Coupled Burgers Equations.”Journal of Computational and Applied Mathematics356 (August)..
Brown, Ei, Zackery D. Fleischman, Larry D. Merkle,Emmanuel Rowe, Arnold Burger, Stephen A. Payne, and Mark Dubinskii. 2018. “Optical Spectroscopy of Holmium Doped K2LaCl5.”Journal of Luminescence196 (April)..
Brown, Ei, Zackery D. Fleischman, Larry D. Merkle,Emmanuel Rowe, Arnold Burger, Stephen Payne, and Mark Dubinskiy. 2018. “Infrared Absorption and Fluorescence Properties of Holmium Doped Potassium Lanthanum Chloride (Conference Presentation).” InLaser Technology for Defense and Security XIV, edited by Mark Dubinskiy and Timothy C. Newell. SPIE..
Castillo, Carlos,Henrique G. Momm, Robert R. Wells, Ronald L. Bingner, and Rafael Pérez. 2021. “A GIS Focal Approach for Characterizing Gully Geometry.”Earth Surface Processes and Landforms46 (9)..
Chapagain, Pratima, Brock Arivett, Beth M. Cleveland,Donald M. Walker, and Mohamed Salem. 2019. “Analysis of the Fecal Microbiota of Fast- and Slow-Growing Rainbow Trout (Oncorhynchus Mykiss).”BMC Genomics20 (1)..
Chapagain, Pratima,Donald Walker, Tim Leeds, Beth M. Cleveland, and Mohamed Salem. 2020. “Distinct Microbial Assemblages Associated with Genetic Selection for High- and Low- Muscle Yield in Rainbow Trout.”BMC Genomics21 (1)..
Chen, Shanshan, Junping Shi, Zhisheng Shuai, andYixiang Wu. 2019. “Spectral Monotonicity of Perturbed Quasi-Positive Matrices with Applications in Population Dynamics,” November.
———. 2020. “Asymptotic Profiles of the Steady States for an SIS Epidemic Patch Model with Asymmetric Connectivity Matrix.”Journal of Mathematical Biology80 (7)..
Connors, Kristin A., Amy Beasley, Mace G. Barron, Scott E. Belanger, Mark Bonnell, Jessica L. Brill, Dick de Zwart, et al. 2019. “Creation of a Curated Aquatic Toxicology Database: EnviroTox.”Environmental Toxicology and Chemistry38 (5)..
Cui, Song, Qiang Wu, James West, and Jiangping Bai. 2019. “Machine Learning-Based Microarray Analyses Indicate Low-Expression Genes Might Collectively Influence PAH Disease.”PLOS Computational Biology15 (8)..
Cui, Xia, Thomas Goff,Song Cui, Dorothy Menefee,Qiang Wu, Nithya Rajan, Shyam Nair, Nate Phillips, and Forbes Walker. 2021. “Predicting Carbon and Water Vapor Fluxes Using Machine Learning and Novel Feature Ranking Algorithms.”Science of The Total Environment775 (June)..
Deng, Keng, Glenn F. Webb, andYixiang Wu. 2020. “Analysis of Age and Spatially Dependent Population Model: Application to Forest Growth.”Nonlinear Analysis: Real World Applications56 (December)..
Ding, Wandi, Ryan Florida, Jeffery Summers, Puran Nepal, and Ben Burton. 2019. “Experience and Lessons Learned from Using SIMIODE Modeling Scenarios.”PRIMUS29 (6)..
- Barbosa, Salvador. 2020. “Using Holographically Compressed Embeddings in Question Answering.” InComputer Science & Information Technology. AIRCC Publishing Corporation..
Ellingham, M. N., Songling Shan,Dong Ye, andXiaoya Zha.2021. “Toughness and Spanning Trees in K4‐minor‐free Graphs.”Journal of Graph Theory96 (3)..
Epifanovsky, Evgeny, Andrew T. B. Gilbert, Xintian Feng, Joonho Lee, Yuezhi Mao, Narbe Mardirossian, Pavel Pokhilko,et al. 2021. “Software for the Frontiers of Quantum Chemistry: An Overview of Developments in the Q-Chem 5 Package.”The Journal of Chemical Physics155 (8)..
Faezipour, Misagh,and Miad Faezipour. 2020. “Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps.”Sustainability12 (12)..
———. 2021a. “Smart Healthcare Monitoring Apps with a Flavor of Systems Engineering.” In ..
———. 2021b. “Efficacy of Smart EEG Monitoring Amidst the COVID-19 Pandemic.”Electronics10 (9)..
———. 2021c. “System Dynamics Modeling for Smartphone-Based Healthcare Tools: Case Study on ECG Monitoring.”IEEE Systems Journal15 (2)..
Faezipour, Misagh, and Susan Ferreira. 2018. “A System Dynamics Approach for Sustainable Water Management in Hospitals.”IEEE Systems Journal12 (2)..
Feng, Yunlong, andQiang Wu.2020. “Learning under (1 + ϵ)-Moment Conditions.”Applied and Computational Harmonic Analysis49 (2)..
———. 2021. “A Framework of Learning Through Empirical Gain Maximization.”Neural Computation33 (6)..
Fernando, Kushantha, andVajira Manathunga. 2021. “An Alternative Approach to Evaluate American Options Price Using HJM Approach,” September.
Fitzgibbon, W. E., J. J. Morgan, G. F. Webb, AndY. Wu.2020. “Analysis Of A Reaction–Diffusion Epidemic Model With Asymptomatic Transmission.”Journal of Biological Systems28 (03)..
Fitzgibbon, William E., Jeffery J. Morgan, Glenn F. Webb, andYixiang Wu.2019. “Spatial Models of Vector-Host Epidemics with Directed Movement of Vectors over Long Distances.”Mathematical Biosciences312 (June)..
Fitzgibbon, William E., Jeffrey J. Morgan, Glenn F. Webb, andYixiang Wu. 2020. “Modelling the Aqueous Transport of an Infectious Pathogen in Regional Communities: Application to the Cholera Outbreak in Haiti.”Journal of The Royal Society Interface17 (169)..
Fitzgibbon, William, Jeffrey Morgan, Glenn Webb, andYixiang Wu. 2020. “Maritime Transport and the Threat of Bio Invasion and the Spread of Infectious Disease.” InComputational Methods in Applied Sciences..
Gerstenschlager, Natasha, Angela T. Barlow, Alyson Lischka, Lucy Watson, Jeremy Strayer, D.Christopher Stephens, Kristin S. Hartland, and James C. Willingham. 2021. “Double Demonstration Lessons: Authentically Participating in an Inquiry Stance.”Mathematics Teacher Educator9 (2)..
Grajal-Puche, Alejandro, Christopher M. Murray, Matthew Kearley, Mark Merchant, Christopher Nix, Jonathan K. Warner, andDonald M. Walker. 2020. “Microbial Assemblage Dynamics Within the American Alligator Nesting Ecosystem: A Comparative Approach Across Ecological Scales.”Microbial Ecology80 (3)..
Grisnik, Matthew, Olivia Bowers, Andrew J Moore, Benjamin F Jones, Joshua R Campbell, andDonald M Walker. 2020. “The Cutaneous Microbiota of Bats Has in Vitro Antifungal Activity against the White Nose Pathogen.”FEMS Microbiology Ecology96 (2)..
Grisnik, Matthew, Jacob Leys, Danny Bryan, Rebecca Hardman, Debra Miller, Vincent Cobb, Chris Ogle,et al.2018. “Host and Geographic Range of Snake Fungal Disease in ֲý, USA.”Herpetological Review49 (October): 682–90.
Gu, Yi,and Chandu Budati. 2020. “Energy-Aware Workflow Scheduling and Optimization in Clouds Using Bat Algorithm.”Future Generation Computer Systems113 (December)..
Gulizia, J. P., K. M. Downs, andS. Cui. 2019. “Kudzu (Pueraria MontanaVar.Lobata) Age Variability Effects on Total and Nutrient-Specificin SituRumen Degradation.”Journal of Applied Animal Research47 (1)..
Gulizia, Joseph, Kevin Downs, andSong Cui.2019. “55 The Influence of Kudzu (Pueraria Montana Var. Lobata) Age on in Situ Rumen Degradation.”Journal of Animal Science97 (Supplement_1)..
Guo, X., T Hu, andQ. Wu.2020. “Distributed Minimum Error Entropy Algorithms.”Journal of Machine Learning Research21 (126): 1–31.
Guo, Xin, Lexin Li, andQiang Wu. 2020. “Modeling Interactive Components by Coordinate Kernel Polynomial Models.”Mathematical Foundations of Computing3 (4)..
Győri, Ervin, Michael D. Plummer,Dong Ye,andXiaoya Zha.2020. “Cycle Traversability for Claw-Free Graphs and Polyhedral Maps.”Combinatorica40 (3)..
Haruna, Samuel I., Stephen H. Anderson, Ranjith P. Udawatta, Clark J. Gantzer, Nathan C. Phillips, Song Cui, and Ying Gao. 2020. “Improving Soil Physical Properties through the Use of Cover Crops: AReview.”Agrosystems, Geosciences & Environment3 (1)..
He, Fangchao, andQiang Wu. 2019. “Bias Corrected Regularization Kernel Method in Ranking.”Analysis and Applications17 (01)..
He, Jinghua, Erling Wei,Dong Ye, and Shaohui Zhai. 2019. “On Perfect Matchings in Matching Covered Graphs.”Journal of Graph Theory90 (4)..
Hill, Aubree J., Jacob E. Leys, Danny Bryan, Fantasia M. Erdman, Katherine S. Malone, Gabrielle N. Russell, Roger D. Applegate,et al. 2018. “Common Cutaneous Bacteria Isolated from Snakes Inhibit Growth of Ophidiomyces Ophiodiicola.”EcoHealth15 (1)..
Hong, Don. 2019. “On Scattered Data Representations Using Bivariate Splines. Handbook of Analytic-Computational Methods in Applied Mathematics.” InHandbook of Analytic-Computational Methods in Applied Mathematics, edited by George Anastassiou. Chapman and Hall/CRC..
Hu, Ting,Qiang Wu, and Ding-Xuan Zhou. 2020. “Distributed Kernel Gradient Descent Algorithm for Minimum Error Entropy Principle.”Applied and Computational Harmonic Analysis49 (1)..
———. 2021. “Kernel Gradient Descent Algorithm for Information Theoretic Learning.”Journal of Approximation Theory263 (March)..
Huang, Shouyou, Yunlong Feng, andQiang Wu. 2021. “Learning Theory of Minimum Error Entropy under Weak Moment Conditions.”Analysis and Applications, March..
Huang, Shouyou, andQiang Wu. 2021. “Robust Pairwise Learning with Huber Loss.”Journal of Complexity66 (October)..
Hunsaker, Aaron, William B. Goodwin,Emmanuel Rowe, Caleb Wheeler, Liviu Matei, Vladimir Buliga, and Arnold Burger. 2021. “Ceramic Cs2HfCl6 : A Novel Scintillation Material for Use in Gamma Ray Spectroscopy.”Crystal Research and Technology56 (9)..
Iskakov, Sergei,Hanna Terletska, and Emanuel Gull. 2018. “Momentum-Space Cluster Dual-Fermion Method.”Physical Review B97 (12)..
Jator, S.N., andV. Manathunga. 2018. “Block Nyström Type Integrator for Bratu’s Equation.”Journal of Computational and Applied Mathematics327 (January)..
Jones, R. Sky, andH.G. Momm. 2021. “An Index for Quantifying Geometric Point Disorder in Geospatial Applications.”Computers & Geosciences151 (June)..
Jovanovich, Michael, andJoshua Phillips. 2018. “N-Task Learning: Solving Multiple or Unknown Numbers of Reinforcement Learning Problems.”Cognitive Science.
Kang, Liying, Weihua Lu, Yezhou Wu,Dong Ye, and Cun-Quan Zhang. 2018. “Circuit Decompositions and Shortest Circuit Coverings of Hypergraphs.”Graphs and Combinatorics34 (2)..
Kazmi, Kamran, andAbdul Q.M. Khaliq. 2020. “An Efficient Split-Step Method for Distributed-Order Space-Fractional Reaction-Diffusion Equations with Time-Dependent Boundary Conditions.”Applied Numerical Mathematics147 (January)..
Khan, Nibraas, and Joshua Phillips. 2020. “Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning.” In2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE..
Khiabani, Vahid H, Ahad S Nasab, andVishwas Narayan Bedekar. 2018. “AN EXPERIMENTAL ADAPTIVE TEACHING PRACTICE.”Proceedings of the International Annual Conference of the American Society for Engineering Management.Huntsville: American Society for Engineering Management (ASEM)..
Leander, R. N., Y. Wu,W. Ding, D. E. Nelson, andZ. Sinkala. 2021. “A Model of the Innate Immune Response to SARS-CoV-2 in the Alveolar Epithelium.”Royal Society Open Science8 (8)..
Leander, Rachel, Wandi Ding, and René A. Salinas. 2018. “Dedication to Suzanne Lenhart.”Natural Resource Modeling31 (4)..
Lewis, Conrad, Emil Proynov, Jianguo Yu, andJing Kong. 2021. “Analyzing Cases of Significant Nondynamic Correlation with DFT Using the Atomic Populations of Effectively Localized Electrons,” September.
Li, Cen, Michael Hains,John Wallin, andQiang Wu. 2019. “Applying Data Science Methods for Early Prediction of Undergraduate Student Retention.” In2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE..
Li, Cen,Ebosehon Imeokparia, Michael Ketzner, and Tsega Tsahai. 2019. “Teaching the NAO Robot to Play a Human-Robot Interactive Game.” In2019 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE..
Li, Qiuli, Wai Chee Shiu, Pak Kiu Sun, andDong Ye. 2018. “On the Anti-Kekulé Problem of Cubic Graphs.”The Art of Discrete and Applied Mathematics2 (1)..
Li, Yuan,Song Cui, Scott X. Chang, and Qingping Zhang. 2019. “Liming Effects on Soil PH and Crop Yield Depend on Lime Material Type, Application Method and Rate, and Crop Species: A Global Meta-Analysis.”Journal of Soils and Sediments19 (3)..
Li, Yuan, Zhou Li, Scott X. Chang,Song Cui, Sindhu Jagadamma, Qingping Zhang, and Yanjiang Cai. 2020. “Residue Retention Promotes Soil Carbon Accumulation in Minimum Tillage Systems: Implications for Conservation Agriculture.”Science of The Total Environment740 (October)..
Li, Yuan, Zhou Li,Song Cui, Scott X. Chang, Chunlin Jia, and Qingping Zhang. 2019. “A Global Synthesis of the Effect of Water and Nitrogen Input on Maize (Zea Mays) Yield, Water Productivity and Nitrogen Use Efficiency.”Agricultural and Forest Meteorology268 (April)..
Li, Yuan, Zhou Li,Song Cui, Sindhu Jagadamma, and Qingping Zhang. 2019. “Residue Retention and Minimum Tillage Improve Physical Environment of the Soil in Croplands: A Global Meta-Analysis.”Soil and Tillage Research194 (November)..
Li, Yuan, Zhou Li,Song Cui, Guopeng Liang, and Qingping Zhang. 2021. “Microbial-Derived Carbon Components Are Critical for Enhancing Soil Organic Carbon in No-Tillage Croplands: A Global Perspective.”Soil and Tillage Research205 (January)..
Li, Yuan, Zhou Li,Song Cui, and Qingping Zhang. 2020. “Trade-off between Soil PH, Bulk Density and Other Soil Physical Properties under Global No-Tillage Agriculture.”Geoderma361 (March)..
Li, Zhengzheng, Jiancheng Zou, Peizhou Yan, andDon Hong. 2021. “Non-Contact Real-Time Monitoring of Driver’s Physiological Parameters under Ambient Light Condition.”Intelligent Automation & Soft Computing28 (3)..
Li, Zhou, Xingfa Lai, Qian Yang, Xuan Yang,Song Cui, and Yuying Shen. 2018. “In Search of Long-Term Sustainable Tillage and Straw Mulching Practices for a Maize-Winter Wheat-Soybean Rotation System in the Loess Plateau of China.”Field Crops Research217 (March)..
Li, Zhou, Xuan Yang,Song Cui, Qian Yang, Xianlong Yang, Juncheng Li, and Yuying Shen. 2018. “Developing Sustainable Cropping Systems by Integrating Crop Rotation with Conservation Tillage Practices on the Loess Plateau, a Long-Term Imperative.”Field Crops Research222 (June)..
Li, Zhou, Qingping Zhang, Wanrong Wei,Song Cui, Wei Tang, and Yuan Li. 2020. “Determining Effects of Water and Nitrogen Inputs on Wheat Yield and Water Productivity and Nitrogen Use Efficiency in China: A Quantitative Synthesis.”Agricultural Water Management242 (December)..
Liang, Jingsai, Jiancheng Zou, andDon Hong. 2019. “Non-Gaussian Penalized PARAFAC Analysis for FMRI Data.”Frontiers in Applied Mathematics and Statistics5 (August)..
Lischka, Alyson E., Natasha E. Gerstenschlager,D. Christopher Stephens, Jeremy F. Strayer, and Angela T. Barlow. 2018. “Making Room for Inspecting Mistakes.”The Mathematics Teacher111 (6)..
Lischka, Alyson E., and D.Christopher Stephens. 2020. “The Area Model: Building Mathematical Connections.”Mathematics Teacher: Learning and Teaching PK-12113 (3)..
Liu, Runrun, Martin Rolek, D. Christopher Stephens, Dong Ye, and Gexin Yu. 2021. “Connectivity for Kite-Linked Graphs.”SIAM Journal on Discrete Mathematics35 (1)..
Liu, Wenzhong, Serge Lawrencenko, Beifang Chen, M.N. Ellingham, Nora Hartsfield, Hui Yang,Dong Ye, andXiaoya Zha. 2019. “Quadrangular Embeddings of Complete Graphs and the Even Map Color Theorem.”Journal of Combinatorial Theory, Series B139 (November)..
Liu, Yeqian. 2019. “Data Augmentation and Bayesian Methods for Multicategory Support Vector Machines.”International Journal of Data Science and Analysis5 (3)..
Liu, Yeqian, and Junyu Chen. 2021. “Non-Parametric Analysis of Interval-Censored Survival Data with Application to a Phase III Metastatic Colorectal Cancer Clinical Trial.”Biomedical Statistics and Informatics6 (1)..
Liu, Yeqian, Tao Hu, and Jianguo Sun. 2020. “Regression Analysis of Interval-Censored Failure Time Data with Cured Subgroup and Mismeasured Covariates.”Communications in Statistics - Theory and Methods49 (1)..
Liu, Yeqian, James Plott, and Yingxiao Huang. 2021. “Sieve Estimation for Mixture Cure Rate Model with Informatively Interval-Censored Failure Time Data.”American Journal of Theoretical and Applied Statistics10 (3)..
Lui, Yeqian. 2020. “Extended Bayesian Framework for Multicategory Support Vector Machine.”Journal of Statistics Applications & Probability9 (1)..
Lui, Yeqian, and Hanyi Li. 2021. “A Semiparametric Mixture Cure Model for Partly Interval Censored Failure Time Data.”Journal of Statistics Applications & Probability10 (1)..
Luquin, Eduardo, Miguel A. Campo‐Bescós, Rafael Muñoz‐Carpena, Ronald L. Bingner, Richard M. Cruse,Henrique G. Momm, Robert R. Wells, and Javier Casalí. 2021. “Model Prediction Capacity of Ephemeral Gully Evolution in Conservation Tillage Systems.”Earth Surface Processes and Landforms46 (10)..
Madadian, Edris, Jan B. Haelssig,Mina Mohebbi, and Michael Pegg. 2021. “From Biorefinery Landfills towards a Sustainable Circular Bioeconomy: A Techno-Economic and Environmental Analysis in Atlantic Canada.”Journal of Cleaner Production296 (May)..
Magal, P., G. F. Webb, andYixiang Wu. 2019. “A Spatial Model of Honey Bee Colony Collapse Due to Pesticide Contamination of Foraging Bees.”Bulletin of Mathematical Biology81: 4908–31.
Magal, Pierre, Glenn F. Webb, andYixiang Wu. 2020. “Spatial Spread of Epidemic Diseases in Geographical Settings: Seasonal Influenza Epidemics in Puerto Rico.”Discrete & Continuous Dynamical Systems - B25 (6)..
Magal, Pierre, G. F. Webb, andYixiang Wu. 2018. “On a Vector-Host Epidemic Model with Spatial Structure.”Nonlinearity31 (February): 5589–5614..
Magal, Pierre, Glenn F. Webb, andYixiang Wu. 2019. “On the Basic Reproduction Number of Reaction-Diffusion Epidemic Models.”SIAM Journal on Applied Mathematics79 (1)..
Malone, Eric W., Joshuah S. Perkin, Brian M. Leckie, Matthew A. Kulp, Carla R. Hurt, andDonald M. Walker. 2018. “Which Species, How Many, and from Where: Integrating Habitat Suitability, Population Genomics, and Abundance Estimates into Species Reintroduction Planning.”Global Change Biology24 (8)..
Maynard, Daniel S., Mark A. Bradford, Kristofer R. Covey, Daniel Lindner, Jessie Glaeser, Douglas A. Talbert, Paul Joshua Tinker,Donald M. Walker, and Thomas W. Crowther. 2019. “Consistent Trade-Offs in Fungal Trait Expression across Broad Spatial Scales.”Nature Microbiology4 (5)..
Menefee, Dorothy, Nithya Rajan,Song Cui, Muthukumar Bagavathiannan, Ronnie Schnell, and Jason West. 2020. “Carbon Exchange of a Dryland Cotton Field and Its Relationship with PlanetScope Remote Sensing Data.”Agricultural and Forest Meteorology294 (November)..
———. 2021. “Simulation of Dryland Maize Growth and Evapotranspiration Using DSSAT‐CERES‐Maize Model.”Agronomy Journal113 (2)..
Miao, Fuhong, Yuan Li,Song Cui,Sindhu Jagadamma, Guofeng Yang, and Qingping Zhang. 2019. “Soil Extracellular Enzyme Activities under Long-Term Fertilization Management in the Croplands of China: A Meta-Analysis.”Nutrient Cycling in Agroecosystems114 (2)..
Miao, Lei, and Dallas Leitner. 2021. “Adaptive Traffic Light Control With Quality-of-Service Provisioning for Connected and Automated Vehicles at Isolated Intersections.”IEEE Access9..
Minoshima, Ayaka,Donald M. Walker, Shuhei Takemoto, Tsuyoshi Hosoya, Allison K. Walker, Seiju Ishikawa, and Yuuri Hirooka. 2019. “Pathogenicity and Taxonomy of Tenuignomonia Styracis Gen. et Sp. Nov., a New Monotypic Genus of Gnomoniaceae on Styrax Obassia in Japan.”Mycoscience60 (1)..
Momm, H.G., R.L. Bingner, R.R. Wells, W.S. Porter, L. Yasarer, and S.M. Dabney. 2019. “Enhanced Field-Scale Characterization for Watershed Erosion Assessments.”Environmental Modelling & Software117 (July)..
Momm, H.G., W.S. Porter, L.M. Yasarer, R. ElKadiri, R.L. Bingner, and J.W. Aber. 2019. “Crop Conversion Impacts on Runoff and Sediment Loads in the Upper Sunflower River Watershed.”Agricultural Water Management217 (May)..
Momm, Henrique, Ron Bingner, Robert Wells, Katy Moore, and Glenn Herring. 2021. “Integrated Technology for Evaluation and Assessment of Multi-Scale Hydrological Systems in Managing Nonpoint Source Pollution.”Water13 (6)..
Momm, Henrique G., Racha ElKadiri, and Wesley Porter. 2020. “Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and Machine Learning Approach.”Remote Sensing12 (3)..
Momm, Henrique G., Robert R. Wells, and Sean J. Bennett. 2018. “Disaggregating Soil Erosion Processes within an Evolving Experimental Landscape.”Earth Surface Processes and Landforms43 (2)..
Momm, Henrique G., Lindsey M. W. Yasarer, Ronald L. Bingner, Robert R. Wells, and Roger A. Kunhle. 2019. “Evaluation of Sediment Load Reduction by Natural Riparian Vegetation in the Goodwin Creek Watershed.”Transactions of the ASABE62 (5)..
Morton, Scott P., Jonathan Howton, andJoshua L. Phillips. 2018. “Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions.” InProceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM..
Morton, Scott P, Julie B Phillips, andJoshua L Phillips. 2019. “The Molecular Basis of PH-Modulated HIV Gp120 Binding Revealed.”Evolutionary Bioinformatics15 (January)..
Nguyen, Daniel, Zbigniew Kisiel, andAnatoliy Volkov. 2018. “Fast Analytical Evaluation of Intermolecular Electrostatic Interaction Energies Using the Pseudoatom Representation of the Electron Density. I. The Löwdin α-Function Method.”Acta Crystallographica Section A Foundations and Advances74 (5)..
Nguyen, Daniel, Piero Macchi, andAnatoliy Volkov. 2020. “Fast Analytical Evaluation of Intermolecular Electrostatic Interaction Energies Using the Pseudoatom Representation of the Electron Density. III. Application to Crystal Structures via the Ewald and Direct Summation Methods.”Acta Crystallographica Section A Foundations and Advances76 (6)..
Nguyen, Daniel, andAnatoliy Volkov. 2019. “Fast Analytical Evaluation of Intermolecular Electrostatic Interaction Energies Using the Pseudoatom Representation of the Electron Density. II. The Fourier Transform Method.”Acta Crystallographica Section A Foundations and Advances75 (3)..
Noroozi, Majid, Marianna Pensky, andRamchandra Rimal. 2019. “Sparse Popularity Adjusted Stochastic Block Model,” October.
Noroozi, Majid,Ramchandra Rimal, and Marianna Pensky. 2021. “Estimation and Clustering in Popularity Adjusted Block Model.”Journal of the Royal Statistical Society: Series B (Statistical Methodology)83 (2)..
Ogden, Matthew, Graham West,John Wallin, Zachariah Sinkala, and William Smith. 2020. “ The American Astronomical Society, Find out More The Institute of Physics, Find out More Optimizing Numerical Simulations of Colliding Galaxies. II. Comparing Simulations to Astronomical Observations.”Research Notes of the AAS4 (138).
Olson, Connor I., Gale B. Beaubien, A. David McKinney, andRyan R. Otter. 2019. “Identifying Contaminants of Potential Concern in Remote Headwater Streams of ֲý’s Appalachian Mountains.”Environmental Monitoring and Assessment191 (3)..
Olson, Connor I., Gale B. Beaubien, Jaylen L. Sims, andRyan R. Otter. 2019. “Mercury Accumulation in Millipedes (Narceus Spp.) Living Adjacent to a Southern Appalachian Mountain Stream (USA).”Bulletin of Environmental Contamination and Toxicology103 (4)..
Omatu, Ngozi, andJoshua L. Phillips. 2021. “Benefits of Combining Dimensional Attention and Working Memory for Partially Observable Reinforcement Learning Problems.” InProceedings of the 2021 ACM Southeast Conference. New York, NY, USA: ACM..
Östlin, A., Y. Zhang,H. Terletska, F. Beiuşeanu, V. Popescu, K. Byczuk, L. Vitos, M. Jarrell, D. Vollhardt, and L. Chioncel. 2020. “Ab InitioTypical Medium Theory of Substitutional Disorder.”Physical Review B101 (1)..
Otter, Ryan R., Gale B. Beaubien, Connor I. Olson, David M. Walters, and Marc A. Mills. 2020. “Practical Considerations for the Incorporation of Insect-Mediated Contaminant Flux into Ecological Risk Assessments.” InContaminants and Ecological Subsidies. Cham: Springer International Publishing..
Paki, Joseph,Hanna Terletska, Sergei Iskakov, and Emanuel Gull. 2019. “Charge Order and Antiferromagnetism in the Extended Hubbard Model.”Physical Review B99 (24)..
Paneru, Bam, Ali Ali,Rafet Al-Tobasei, Brett Kenney, and Mohamed Salem. 2018. “Crosstalk among LncRNAs, MicroRNAs and MRNAs in the Muscle ‘Degradome’ of Rainbow Trout.”Scientific Reports8 (1)..
Phillips, Joshua L., Michael E. Colvin, and Shawn Newsam. 2018. “Dimensionality Estimation of Protein Dynamics Using Polymer Models.” InProceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM..
Pirtle, Todd, Lee Rumble, Michael Klug, Forbes Walker,Song Cui, and Nathan Phillips. 2019. “Impact of Biochar and Different Nitrogen Sources on Forage Radish Production in Middle ֲý.”JOURNAL OF ADVANCES IN AGRICULTURE10 (January)..
Plummer, Michael D.,Dong Ye, andXiaoya Zha. 2020. “Dominating Maximal Outerplane Graphs and Hamiltonian Plane Triangulations.”Discrete Applied Mathematics282 (August).
Poudel, Khem N., andWilliam M. Robertson. 2019. “Bloch Surface Wave Excitation Using a Maximum Length Sequence Grating Structure.” InOptical Components and Materials XVI, edited by Michel J. Digonnet and Shibin Jiang. SPIE.
Proynov, Emil, andJing Kong. 2021. “Correcting the Charge Delocalization Error of Density Functional Theory.”Journal of Chemical Theory and Computation17 (8)..
Qin, Chao, Robert R. Wells,Henrique G. Momm, Ximeng Xu, Glenn V. Wilson, and Fenli Zheng. 2019. “Photogrammetric Analysis Tools for Channel Widening Quantification under Laboratory Conditions.”Soil and Tillage Research191 (August)..
Ranganathan, Jaishree, Nikhil Hedge, Allen S. Irudayaraj, and Angelina A. Tzacheva. 2018. “Automatic Detection of Emotions in Twitter Data.” InProceedings of the Workshop on Opinion Mining, Summarization and Diversification. New York, NY, USA: ACM..
Ranganathan, Jaishree, Allen S. Irudayaraj, Arunkumar Bagavathi, and Angelina A. Tzacheva. 2018. “Actionable Pattern Discovery for Sentiment Analysis on Twitter Data in Clustered Environment.”Journal of Intelligent & Fuzzy Systems34 (5)..
Ranganathan, Jaishree, Sagar Sharma, and Angelina A. Tzacheva. 2020. “Hybrid Scalable Action Rule.” InProceedings of the 2020 the 4th International Conference on Compute and Data Analysis. New York, NY, USA: ACM..
Ranganathan, Jaishree, and Angelina Tzacheva. 2019. “Emotion Mining in Social Media Data.”Procedia Computer Science159..
Ranganathan, Jaishree, and Angelina A. Tzacheva. 2020. “Emotion Mining from Text for Actionable Recommendations Detailed Survey.”International Journal of Data Mining, Modelling and Management12 (2)..
Reshniak, Viktor,Abdul Khaliq, and David Voss. 2019. “Slow-Scale Split-Step Tau-Leap Method for Stiff Stochastic Chemical Systems.”Journal of Computational and Applied Mathematics361 (December)..
Rimal, R., and M. Pensky. 2019. “Density Deconvolution with Small Berkson Errors.”Mathematical Methods of Statistics28 (3)..
Robertson, William M., Isaac Shirk, and Elizabeth Campbell. 2019. “Acoustic Waveguide Impedance Matching via Helmholtz Resonator Mediated Extraordinary Acoustic Transmission.”AIP Advances9 (3)..
Robertson, William M., Stephen M. Wright, Andrienne Friedli, Jeffery Summers, and Alex Kaszynski. 2020. “Design and Characterization of an Ultra-Low-Cost 3D-Printed Optical Sensor Based on Bloch Surface Wave Resonance.”Biosensors and Bioelectronics: X5 (September)..
Rowe, E., W.B. Goodwin, P. Bhattacharya, G. Cooper, N. Schley, M. Groza, N.J. Cherepy, S.A. Payne, and A. Burger. 2019. “Preparation, Structure and Scintillation of Cesium Hafnium Chloride Bromide Crystals.”Journal of Crystal Growth509 (March)..
Salem, Mohamed, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, and Timothy D. Leeds. 2018. “Genome-Wide Association Analysis With a 50K Transcribed Gene SNP-Chip Identifies QTL Affecting Muscle Yield in Rainbow Trout.”Frontiers in Genetics9 (September)..
Sarumi, Ibrahim O., Khaled M. Furati, andAbdul Q. M. Khaliq. 2020. “Highly Accurate Global Padé Approximations of Generalized Mittag–Leffler Function and Its Inverse.”Journal of Scientific Computing82 (2)..
Schulman, Alan, andSalvador Barbosa. 2018. “Text Genre Classification Using Only Parts of Speech.” In2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE..
Seo, Suk J. 2021. “Fault-Tolerant Detectors for Distinguishing Sets in Cubic Graphs.”Discrete Applied Mathematics293 (April)..
Sharma, Sumit, Nithya Rajan,Song Cui, Stephen Maas, Kenneth Casey, Srinivasulu Ale, and Russel Jessup. 2019. “Carbon and Evapotranspiration Dynamics of a Non-Native Perennial Grass with Biofuel Potential in the Southern U.S. Great Plains.”Agricultural and Forest Meteorology269–270 (May)..
Shi, Junping,Yixiang Wu, and Xingfu Zou. 2020. “Coexistence of Competing Species for Intermediate Dispersal Rates in a Reaction–Diffusion Chemostat Model.”Journal of Dynamics and Differential Equations32 (2)..
Shuttleworth, Lucas A., David I. Guest, andDonald M. Walker. 2018. “The Fungus, the Code and the Mysterious Publication Date: Why Gnomoniopsis Smithogilvyi Is Still the Correct Name for the Chestnut Rot Fungus.”IMA Fungus9 (2)..
Smith-Peavier, Emily, Grant E. Gardner, andRyan Otter. 2019. “PowerPoint Use in the Undergraduate Biology Classroom: Perceptions and Impacts on Student Learning.”Journal of College Science Teaching48 (n3): 74–83.
Snyder, Shawn D., William B. Sutton, andDonald M. Walker. 2020. “Prevalence of Ophidiomyces Ophiodiicola, the Causative Agent of Snake Fungal Disease, in the Interior Plateau Ecoregion of ֲý, USA.”Journal of Wildlife Diseases56 (4)..
Sun, Hongwei, andQiang Wu. 2020. “Optimal Rates of Distributed Regression with Imperfect Kernels.”Journal of Machine Learning Research22 (171): 1–34.
Sun, Yuyang, Peizhou Yan, Zhengzheng Li, Jiancheng Zou, andDon Hong. 2020. “Driver Fatigue Detection System Based on Colored and Infrared Eye Features Fusion.”Computers, Materials & Continua63 (3)..
Swindall, Matthew I., Gregory Croisdaile, Chase C. Hunter, Ben Keener, Alex C. Williams, James H. Brusuelas, Nita Krevens, Melissa Sellew, Lucy Fortson, andJohn F. Wallin. 2021. “Exploring Learning Approaches for Ancient Greek Character Recognition with Citizen Science Data.” InExploring Learning Approaches for Ancient Greek Character Recognition with Citizen Science Data. IEEE 17th International Conference on eScience.
Syzonenko, Ivan, andJoshua L. Phillips. 2018. “Hybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations.” InProceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM..
———. 2020. “Accelerated Protein Folding Using Greedy-Proximal A*.”Journal of Chemical Information and Modeling60 (6)..
Taguas, E.V., R.L. Bingner,H.G. Momm, R. Wells, and M.A. Locke. 2021. “Modelling Scenarios of Soil Properties and Managements in Olive Groves at the Micro-Catchment Scale with the AnnAGNPS Model to Quantify Organic Carbon.”CATENA203 (August)..
Tam, K.-M., Y. Zhang,H. Terletska, Y. Wang, M. Eisenbach, L. Chioncel, and J. Moreno. 2021. “Application of the Locally Self-Consistent Embedding Approach to the Anderson Model with Non-Uniform Random Distributions.”Annals of Physics, April..
Tanguay, P., M. Blais, A. Potvin, D. Stewart,D. Walker, N. Nadeau-Thibodeau, P. DesRochers, and D. Rioux. 2018. “QPCR Quantification ofOphiognomonia Clavigignenti-Juglandacearumfrom Infected Butternut Trees under Different Release Treatments.”Forest Pathology48 (3)..
Terletska, H., A. Moilanen, K.-M. Tam, Y. Zhang, Y. Wang, M. Eisenbach, N.S. Vidhyadhiraja, L. Chioncel, and J. Moreno. 2021. “Non-Local Corrections to the Typical Medium Theory of Anderson Localization.”Annals of Physics, March..
Terletska, Hanna, Tianran Chen, Joseph Paki, and Emanuel Gull. 2018. “Charge Ordering and Nonlocal Correlations in the Doped Extended Hubbard Model.”Physical Review B97 (11)..
Terletska, Hanna, Sergei Iskakov, Thomas Maier, and Emanuel Gull. 2021. “Dynamical Cluster Approximation Study of Electron Localization in the Extended Hubbard Model.”Physical Review B104 (8)..
Terletska, Hanna, Yi Zhang, Ka-Ming Tam, Tom Berlijn, Liviu Chioncel, N. Vidhyadhiraja, and Mark Jarrell. 2018. “Systematic Quantum Cluster Typical Medium Method for the Study of Localization in Strongly Disordered Electronic Systems.”Applied Sciences8 (12)..
Tong, Hongzhi, andQiang Wu. 2020. “Moving Quantile Regression.”Journal of Statistical Planning and Inference205 (March)..
Tzacheva, A., andR. Jaishree. 2018. “EMOTION MINING FROM STUDENT COMMENTS A LEXICON BASED APPROACH FOR PEDAGOGICAL INNOVATION ASSESSMENT.”The European Journal of Education and Applied Psychology, September..
Tzacheva, Angelina A.,Jaishree Ranganathan, and Arunkumar Bagavathi. 2020. “Action Rules for Sentiment Analysis Using Twitter.”International Journal of Social Network Mining3 (1)..
Tzacheva, Angelina,Jaishree Ranganathan, and Rajendra Jadi. 2019. “Multi-Label Emotion Mining From Student Comments.” InProceedings of the 2019 4th International Conference on Information and Education Innovations - ICIEI 2019. New York, New York, USA: ACM Press..
Tzacheva, Angelina,Jaishree Ranganathan, and Sai Yesawy Mylavarapu. 2020. “Actionable Pattern Discovery for Tweet Emotions.” InAdvances in Intelligent Systems and Computing, 46–57..
Varadwaj, Pradeep R., Arpita Varadwaj, Helder M. Marques, andPreston J. MacDougall. 2019. “The Chalcogen Bond: Can It Be Formed by Oxygen?”Physical Chemistry Chemical Physics21 (36)..
Walker, Donald M., Aubree J. Hill, Molly A. Albecker, Michael W. McCoy, Matthew Grisnik, Alexander Romer, Alejandro Grajal-Puche, et al. 2020. “Variation in the Slimy Salamander (Plethodon Spp.) Skin and Gut-Microbial Assemblages Is Explained by Geographic Distance and Host Affinity.”Microbial Ecology79 (4)..
Walker, Donald M, Jacob E Leys, Matthew Grisnik, Alejandro Grajal-Puche, Christopher M Murray, and Matthew C Allender. 2019. “Variability in Snake Skin Microbial Assemblages across Spatial Scales and Disease States.”The ISME Journal13 (9): 2209–22..
Walker, Donald M, Christopher M Murray, Doug Talbert, Paul Tinker, Sean P Graham, and Thomas W Crowther. 2018. “A Salamander’s Top down Effect on Fungal Communities in a Detritivore Ecosystem.”FEMS Microbiology Ecology94 (12)..
Wallerberger, Markus, Sergei Iskakov, Alexander Gaenko, Joseph Kleinhenz, Igor Krivenko, Ryan Levy, Jia Li,et al.2018. “Updated Core Libraries of the ALPS Project,” November.
Wang, Donglin, Honglan Xu, andQiang Wu. 2020. “Averaging versus Voting: A Comparative Study of Strategies for Distributed Classification.”Mathematical Foundations of Computing3 (3)..
Wang, Matthew, Dwayne John, Jianguo Yu, Emil Proynov, Fenglai Liu, Benjamin G. Janesko, andJing Kong. 2019. “Performance of New Density Functionals of Nondynamic Correlation on Chemical Properties.”The Journal of Chemical Physics150 (20)..
Wang, Yiting, andJing Kong. 2021. “Efficient Spherical Surface Integration of Gauss Functions in Three-Dimensional Spherical Coordinates and the Solution for theModified Bessel Function of the First Kind.”Journal of Mathematical Chemistry59 (2)..
Wang, Yiting, Emil Proynov, andJing Kong. 2021. “Model DFT Exchange Holes and the Exact Exchange Hole: Similarities and Differences.”The Journal of Chemical Physics154 (2)..
Weatherly, Jessie, Piero Macchi, andAnatoliy Volkov. 2021. “On 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.”Acta Crystallographica Section A Foundations and Advances77 (5)..
Weh, A., Y. Zhang, A. Östlin,H. Terletska, D. Bauernfeind, K.-M. Tam, H. G. Evertz, K. Byczuk, D. Vollhardt, and L. Chioncel. 2021. “Dynamical Mean-Field Theory of the Anderson-Hubbard Model with Local and Nonlocal Disorder in Tensor Formulation.”Physical Review B104 (4)..
West, Graham, Matthew Ogden,John Wallin, Zachariah Sinkala, and William Smith. 2020. “Optimizing Numerical Simulations of Colliding Galaxies. I. Fitness Functions and Optimization Algorithms.”Research Notes of the AAS4 (136).
Williams, Arthur, andJoshua Phillips. 2020. “Transfer Reinforcement Learning Using Output-Gated Working Memory.”Proceedings of the AAAI Conference on Artificial Intelligence34 (02)..
Willingham, James C., Angela T. Barlow,D. Christopher Stephens, Alyson E. Lischka, and Kristin S. Hartland. 2021. “Mindset Regarding Mathematical Ability in K‐12 Teachers.”School Science and Mathematics121 (4)..
Wu, Yezhou, Yujun Yang, andDong Ye. 2018. “A Note on Median Eigenvalues of Bipartite Graphs.”MATCH Communications in Mathematical and in Computer Chemistry80: 853–62.
Wu, Yezhou, andDong Ye. 2018. “Circuit Covers of Cubic Signed Graphs.”Journal of Graph Theory89 (1)..
———. 2020. “Minimum $T$-Joins and Signed-Circuit Covering.”SIAM Journal on Discrete Mathematics34 (2)..
Wu, Yixiang, and Xingfu Zou. 2018. “Dynamics and Profiles of a Diffusive Host–Pathogen System with Distinct Dispersal Rates.”Journal of Differential Equations264 (8)..
Xiong, Lu, andDon Hong. 2020. “Using Monte Carlo Simulation to Predict Captive Insurance Solvency.” InProceedings of the 2020 the 4th International Conference on Compute and Data Analysis. New York, NY, USA: ACM..
Xu, Shuzhe,Salvador E. Barbosa, andDon Hong. 2020. “BERT Feature Based Model for Predicting the Helpfulness Scores of Online Customers Reviews.” In ..
Xu, Yi, andYeqian Liu. 2021. “Bias Adjustment Methods for Analysis of a Non-Randomized Controlled Trials of Right Heart Catheterization for Patients in ICU.”Biomedical Statistics and Informatics6 (2)..
Yang, Xuan, Zhou Li, Song Cui, Quan Cao, Jianqiang Deng, Xingfa Lai, and Yuying Shen. 2020. “Cropping 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.”Agricultural Water Management229 (February)..
Yang, Xuan, Lina Zheng, Qian Yang, Zikui Wang,Song Cui, and Yuying Shen. 2018. “Modelling 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.”Agricultural Systems166 (October)..
Yang, Yujun, andDong Ye. 2018. “Inverses of Bipartite Graphs.”Combinatorica38 (5)..
Yasarer, Lindsey M. W., Ronald L. Bingner, andHenrique G. Momm. 2018. “Characterizing Ponds in a Watershed Simulation and Evaluating Their Influence on Streamflow in a Mississippi Watershed.”Hydrological Sciences Journal63 (2)..
Ye, Dong. 2018. “Maximum Matchings in Regular Graphs.”Discrete Mathematics341 (5)..
Yeqian, Liu. 2019. “A Signal Detection Analysis of World Health Organization’s Pharmacovigilance Database.”International Journal of Clinical Biostatistics and Biometrics5 (2)..
Yeqian, Liu, andYingxiao Huang. 2020. “Semiparametric Likelihood Estimation with Clayton-Oakes Model for Multivariate Current Status Data.”Journal of Biostatistics & Biometrics..
Zhai, Shaohui, Dalal Alrowaili, andDong Ye.2018. “Clar Structures vs Fries Structures in Hexagonal Systems.”Applied Mathematics and Computation329 (July)..
Zhai, Shaohui, Erling Wei, Jinghua He, andDong Ye. 2019. “Homeomorphically Irreducible Spanning Trees in Hexangulations of Surfaces.”Discrete Mathematics342 (10)..
Zhang, Li, You Lu, Rong Luo,Dong Ye, and Shenggui Zhang. 2020. “Edge Coloring of Signed Graphs.”Discrete Applied Mathematics282 (August)..
Zhang, Ning, andQiang Wu. 2019. “Online Learning for Supervised Dimension Reduction.”Mathematical Foundations of Computing2 (2): 95–106..
Zhang, Ning, Zhou Yu, andQiang Wu. 2018. “Overlapping Sliced Inverse Regression for Dimension Reduction.”Analysis and Applications17 (5): 715–36.
Zhang, Yi, R. Nelson, K.-M. Tam, W. Ku, U. Yu, N. S. Vidhyadhiraja,H. Terletska, J. Moreno, M. Jarrell, and T. Berlijn. 2018. “Origin of Localization in Ti-Doped Si.”Physical Review B98 (17)..
Zhang, Yi,Hanna Terletska, Ka-Ming Tam, Yang Wang, Markus Eisenbach, Liviu Chioncel, and Mark Jarrell. 2019. “Locally Self-Consistent Embedding Approach for Disordered Electronic Systems.”Physical Review B100 (5)..
Zheng, Shao-Liang, Yu-Sheng Chen, Xiaoping Wang, Christina Hoffmann, andAnatoliy Volkov. 2018. “From the Source: Student-Centred Guest Lecturing in a Chemical Crystallography Class.”Journal of Applied Crystallography51 (3)..
Zheng, Xiaoqing, Hongwei Sun, andQiang Wu. 2021. “Regularized Least Square Kernel Regression for Streaming Data.”Communications in Mathematical Sciences19 (6)..
Zou, Jiancheng, Zhengzheng Li, Zhijun Guo, andDon Hong. 2019. “Super-Resolution Reconstruction of Images Based on Microarray Camera.”Computers, Materials & Continua60 (1)..
Zou, Jiancheng, Na Zhu, Bailin Ge, andDon Hong. 2021. “Elderly Fall Detection Based on Improved SSD Algorithm.”Journal of New Media3 (1)..
Research Groups
The Faculty in the Computational Science Program at MTSU 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.
Bioinformatics | ||||
---|---|---|---|---|
Joshua Phillips | Asst. Prof. | 615-898-2397 | [email protected] | Computer Science |
Biological Modeling | ||||
R. Stephen Howard | Professor | 615-898-2044 | [email protected] | Biology |
Wandi Ding | Asst. Prof. | 615-494-8936 | [email protected] | Mathematics |
Rachel Leander | Asst. Prof. | 615-494-5422 | [email protected] | Mathematics |
Computational Chemistry | ||||
Jing Kong | Assoc. Professor | 615-494-7623 | [email protected] | Chemistry |
Anatoliy Volkov | Assoc. Professor | 615-494-8655 | [email protected] | Chemistry |
Preston MacDougall | 615-898-5265 | [email protected] | Chemistry | |
Computational Graph Theory | ||||
Suk Jai Seo | Professor | 615-904-8168 | [email protected] | Computer Science |
D. Chris Stephens | Chair of Mathematics and Professor | 615-494-8957 | [email protected] | Mathematics |
Dong Ye | Asst. Prof. | 615-494-8957 | [email protected] | Mathematics |
Xiaoya Zha | Professor | 615-898-2494 | [email protected] | Mathematics |
Computational Physics, Engineering AndDifferential Equations | ||||
Abdul Khaliq | Professor | 615-494-8889 | [email protected] | Mathematics |
William Robertson | Professor | 615-898-5837 | [email protected] | Physics & Astronomy |
Vishwas Bedekar | Asst. Prof. | 615-494-8741 | [email protected] | Engineering |
High Performance Computing | ||||
Yi Gu | Asst. Prof | 615-904-8238 | [email protected] | Computer Science |
Machine Learning And Remote Sensing | ||||
Cen Li | Professor | 615-904-8168 | [email protected] | Computer Science |
Don Hong | Professor | 615-904-8339 | [email protected] | Mathematics |
Song Cui | Asst. Prof. | 615-898-5833 | [email protected] | Agriculture |
Henrique Momm | Assoc. Prof. | 615-904-8372 | [email protected] | Geosciences |
John Wallin | Professor & Director | 615-494-7735 | [email protected] | Physics & Astronomy |
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