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You searched for +publisher:"Virginia Tech" +contributor:("Vullikanti, Anil Kumar S."). Showing records 1 – 30 of 67 total matches.

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1. Gupta, Aparna. Finding Succinct Representations For Clusters.

Degree: MS, Computer Science and Applications, 2019, Virginia Tech

 Improving the explainability of results from machine learning methods has become an important research goal. Clustering is a commonly used Machine Learning technique which is… (more)

Subjects/Keywords: clustering; integer programming

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APA (6th Edition):

Gupta, A. (2019). Finding Succinct Representations For Clusters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91388

Chicago Manual of Style (16th Edition):

Gupta, Aparna. “Finding Succinct Representations For Clusters.” 2019. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/91388.

MLA Handbook (7th Edition):

Gupta, Aparna. “Finding Succinct Representations For Clusters.” 2019. Web. 22 Jan 2021.

Vancouver:

Gupta A. Finding Succinct Representations For Clusters. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/91388.

Council of Science Editors:

Gupta A. Finding Succinct Representations For Clusters. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91388

2. Rangudu, Venkata Pavan Kumar. Inferring Network Status from Partial Observations.

Degree: MS, Computer Science and Applications, 2017, Virginia Tech

 In many network applications, such as the Internet and infrastructure networks, nodes fail or get congested dynamically, but tracking this information about all the nodes… (more)

Subjects/Keywords: Network Topology Inference; Network Tomography; Minimum Description Length

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APA (6th Edition):

Rangudu, V. P. K. (2017). Inferring Network Status from Partial Observations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74983

Chicago Manual of Style (16th Edition):

Rangudu, Venkata Pavan Kumar. “Inferring Network Status from Partial Observations.” 2017. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/74983.

MLA Handbook (7th Edition):

Rangudu, Venkata Pavan Kumar. “Inferring Network Status from Partial Observations.” 2017. Web. 22 Jan 2021.

Vancouver:

Rangudu VPK. Inferring Network Status from Partial Observations. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/74983.

Council of Science Editors:

Rangudu VPK. Inferring Network Status from Partial Observations. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/74983

3. Asathulla, Mudabir Kabir. A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 Matching is one of the most fundamental algorithmic graph problems. Many variants of matching problems have been studied on different classes of graphs, the one… (more)

Subjects/Keywords: matching; maximum cardinality; bipartite; planar graph; planar separators

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APA (6th Edition):

Asathulla, M. K. (2017). A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88080

Chicago Manual of Style (16th Edition):

Asathulla, Mudabir Kabir. “A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs.” 2017. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/88080.

MLA Handbook (7th Edition):

Asathulla, Mudabir Kabir. “A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs.” 2017. Web. 22 Jan 2021.

Vancouver:

Asathulla MK. A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/88080.

Council of Science Editors:

Asathulla MK. A Sparsification Based Algorithm for Maximum-Cardinality Bipartite Matching in Planar Graphs. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/88080


Virginia Tech

4. Ramesh, Shreyas. Deep Learning for Taxonomy Prediction.

Degree: MS, Computer Science and Applications, 2019, Virginia Tech

 Taxonomy prediction is a science involving the hierarchical classification of DNA fragments up to the rank species. Given species diversity on Earth, taxonomy prediction gets… (more)

Subjects/Keywords: taxonomy prediction; convolutional neural networks; hierarchical prediction; cnn; taxonomic binning

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APA (6th Edition):

Ramesh, S. (2019). Deep Learning for Taxonomy Prediction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89752

Chicago Manual of Style (16th Edition):

Ramesh, Shreyas. “Deep Learning for Taxonomy Prediction.” 2019. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/89752.

MLA Handbook (7th Edition):

Ramesh, Shreyas. “Deep Learning for Taxonomy Prediction.” 2019. Web. 22 Jan 2021.

Vancouver:

Ramesh S. Deep Learning for Taxonomy Prediction. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/89752.

Council of Science Editors:

Ramesh S. Deep Learning for Taxonomy Prediction. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89752


Virginia Tech

5. Lindsay, Aaron Charles. LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm.

Degree: MS, Computer Science, 2012, Virginia Tech

 As the number of processing cores contained in modern processors continues to increase, cache hierarchies are becoming more complex. This added complexity has the effect… (more)

Subjects/Keywords: Linux; Real-Time; Scheduling; Multiprocessors; Cache-aware; Partitioning

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APA (6th Edition):

Lindsay, A. C. (2012). LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33541

Chicago Manual of Style (16th Edition):

Lindsay, Aaron Charles. “LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm.” 2012. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/33541.

MLA Handbook (7th Edition):

Lindsay, Aaron Charles. “LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm.” 2012. Web. 22 Jan 2021.

Vancouver:

Lindsay AC. LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/33541.

Council of Science Editors:

Lindsay AC. LWFG: A Cache-Aware Multi-core Real-Time Scheduling Algorithm. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/33541


Virginia Tech

6. Chandan, Shridhar. Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 Realistic mobility and cellular traffic modeling is key to various wireless networking applications and have a significant impact on network performance. Planning and design, network… (more)

Subjects/Keywords: Wireless Communication Networks; Spectrum Demand; Discrete Event Simulation

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APA (6th Edition):

Chandan, S. (2014). Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25331

Chicago Manual of Style (16th Edition):

Chandan, Shridhar. “Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand.” 2014. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/25331.

MLA Handbook (7th Edition):

Chandan, Shridhar. “Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand.” 2014. Web. 22 Jan 2021.

Vancouver:

Chandan S. Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/25331.

Council of Science Editors:

Chandan S. Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25331


Virginia Tech

7. Mishra, Gaurav. Development of Person-Person Network and Interacting PTTS in EpiSimdemics.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 Communications over social media, telephone, email, text etc have emerged as an integral part of modern society and they are popularly used for the expression… (more)

Subjects/Keywords: EpiSimdemics; PTTS; Person-Person Network

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APA (6th Edition):

Mishra, G. (2014). Development of Person-Person Network and Interacting PTTS in EpiSimdemics. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64160

Chicago Manual of Style (16th Edition):

Mishra, Gaurav. “Development of Person-Person Network and Interacting PTTS in EpiSimdemics.” 2014. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/64160.

MLA Handbook (7th Edition):

Mishra, Gaurav. “Development of Person-Person Network and Interacting PTTS in EpiSimdemics.” 2014. Web. 22 Jan 2021.

Vancouver:

Mishra G. Development of Person-Person Network and Interacting PTTS in EpiSimdemics. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/64160.

Council of Science Editors:

Mishra G. Development of Person-Person Network and Interacting PTTS in EpiSimdemics. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64160


Virginia Tech

8. Mahajan, Rutvij Sanjay. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 The k–server problem is of significant importance to the theoretical computer science and the operations research community. In this problem, we are given k servers,… (more)

Subjects/Keywords: k-Server Problem; Work Function Algorithm; Bipartite Matching; Assignment Problem

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APA (6th Edition):

Mahajan, R. S. (2018). Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96725

Chicago Manual of Style (16th Edition):

Mahajan, Rutvij Sanjay. “Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.” 2018. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/96725.

MLA Handbook (7th Edition):

Mahajan, Rutvij Sanjay. “Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.” 2018. Web. 22 Jan 2021.

Vancouver:

Mahajan RS. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/96725.

Council of Science Editors:

Mahajan RS. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/96725


Virginia Tech

9. Aji, Sudarshan Mandayam. Estimating Reachability Set Sizes in Dynamic Graphs.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 Graphs are a commonly used abstraction for diverse kinds of interactions, e.g., on Twitter and Facebook. Different kinds of topological properties of such graphs are… (more)

Subjects/Keywords: Algorithm; Dynamic graphs; Giraph; Graph framework

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APA (6th Edition):

Aji, S. M. (2014). Estimating Reachability Set Sizes in Dynamic Graphs. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49262

Chicago Manual of Style (16th Edition):

Aji, Sudarshan Mandayam. “Estimating Reachability Set Sizes in Dynamic Graphs.” 2014. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/49262.

MLA Handbook (7th Edition):

Aji, Sudarshan Mandayam. “Estimating Reachability Set Sizes in Dynamic Graphs.” 2014. Web. 22 Jan 2021.

Vancouver:

Aji SM. Estimating Reachability Set Sizes in Dynamic Graphs. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/49262.

Council of Science Editors:

Aji SM. Estimating Reachability Set Sizes in Dynamic Graphs. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49262


Virginia Tech

10. Parikh, Nidhi Kiranbhai. Generating Random Graphs with Tunable Clustering Coefficient.

Degree: MS, Computer Science, 2011, Virginia Tech

 Most real-world networks exhibit a high clustering coefficientâ the probability that two neighbors of a node are also neighbors of each other. We propose four… (more)

Subjects/Keywords: Clustering coefficient; complex networks; random graphs; algorithms

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APA (6th Edition):

Parikh, N. K. (2011). Generating Random Graphs with Tunable Clustering Coefficient. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31591

Chicago Manual of Style (16th Edition):

Parikh, Nidhi Kiranbhai. “Generating Random Graphs with Tunable Clustering Coefficient.” 2011. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/31591.

MLA Handbook (7th Edition):

Parikh, Nidhi Kiranbhai. “Generating Random Graphs with Tunable Clustering Coefficient.” 2011. Web. 22 Jan 2021.

Vancouver:

Parikh NK. Generating Random Graphs with Tunable Clustering Coefficient. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/31591.

Council of Science Editors:

Parikh NK. Generating Random Graphs with Tunable Clustering Coefficient. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/31591


Virginia Tech

11. Cho, Yong Ju. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 Recent advances in systems biology have uncovered detailed mechanisms of  biological processes such as the cell cycle, circadian rhythms,  and signaling pathways.  These mechanisms are… (more)

Subjects/Keywords: Chemical reaction networks; bistability; data mining; time series modeling

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APA (6th Edition):

Cho, Y. J. (2013). Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19244

Chicago Manual of Style (16th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/19244.

MLA Handbook (7th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Web. 22 Jan 2021.

Vancouver:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/19244.

Council of Science Editors:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19244


Virginia Tech

12. Cadena, Jose Eduardo. Finding Interesting Subgraphs with Guarantees.

Degree: PhD, Computer Science and Applications, 2018, Virginia Tech

 Networks are a mathematical abstraction of the interactions between a set of entities, with extensive applications in social science, epidemiology, bioinformatics, and cybersecurity, among others.… (more)

Subjects/Keywords: Graph Mining; Data Mining; Graph Algorithms; Anomaly Detection; Finding Subgraphs; Parameterized Complexity; Distributed Algorithms

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APA (6th Edition):

Cadena, J. E. (2018). Finding Interesting Subgraphs with Guarantees. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81960

Chicago Manual of Style (16th Edition):

Cadena, Jose Eduardo. “Finding Interesting Subgraphs with Guarantees.” 2018. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/81960.

MLA Handbook (7th Edition):

Cadena, Jose Eduardo. “Finding Interesting Subgraphs with Guarantees.” 2018. Web. 22 Jan 2021.

Vancouver:

Cadena JE. Finding Interesting Subgraphs with Guarantees. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/81960.

Council of Science Editors:

Cadena JE. Finding Interesting Subgraphs with Guarantees. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81960


Virginia Tech

13. Chhabra, Meenal. Studies in the Algorithmic Pricing of Information Goods and Services.

Degree: PhD, Computer Science and Applications, 2014, Virginia Tech

 This thesis makes a contribution to the algorithmic pricing literature by proposing and analyzing techniques for automatically pricing digital and information goods in order to… (more)

Subjects/Keywords: Non-linear pricing; Sequential Search; Algorithm pricing; Information goods; Dynamic pricing; Revenue maximization; Reinforcement learning; Search markets

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APA (6th Edition):

Chhabra, M. (2014). Studies in the Algorithmic Pricing of Information Goods and Services. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25874

Chicago Manual of Style (16th Edition):

Chhabra, Meenal. “Studies in the Algorithmic Pricing of Information Goods and Services.” 2014. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/25874.

MLA Handbook (7th Edition):

Chhabra, Meenal. “Studies in the Algorithmic Pricing of Information Goods and Services.” 2014. Web. 22 Jan 2021.

Vancouver:

Chhabra M. Studies in the Algorithmic Pricing of Information Goods and Services. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/25874.

Council of Science Editors:

Chhabra M. Studies in the Algorithmic Pricing of Information Goods and Services. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25874

14. Zhang, Yao. Optimizing and Understanding Network Structure for Diffusion.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 Given a population contact network and electronic medical records of patients, how to distribute vaccines to individuals to effectively control a flu epidemic? Similarly, given… (more)

Subjects/Keywords: Data Mining; Graph/Network; Diffusion

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APA (6th Edition):

Zhang, Y. (2017). Optimizing and Understanding Network Structure for Diffusion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79674

Chicago Manual of Style (16th Edition):

Zhang, Yao. “Optimizing and Understanding Network Structure for Diffusion.” 2017. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/79674.

MLA Handbook (7th Edition):

Zhang, Yao. “Optimizing and Understanding Network Structure for Diffusion.” 2017. Web. 22 Jan 2021.

Vancouver:

Zhang Y. Optimizing and Understanding Network Structure for Diffusion. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/79674.

Council of Science Editors:

Zhang Y. Optimizing and Understanding Network Structure for Diffusion. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79674


Virginia Tech

15. Poirel, Christopher L. Bridging Methodological Gaps in Network-Based Systems Biology.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 Functioning of the living cell is controlled by a complex network of interactions among genes, proteins, and other molecules. A major goal of systems biology… (more)

Subjects/Keywords: Computational Biology; Functional Enrichment; Graph Theory; Network; Random Walk; Signaling Pathways; Top-Down Analysis

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APA (6th Edition):

Poirel, C. L. (2013). Bridging Methodological Gaps in Network-Based Systems Biology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23899

Chicago Manual of Style (16th Edition):

Poirel, Christopher L. “Bridging Methodological Gaps in Network-Based Systems Biology.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/23899.

MLA Handbook (7th Edition):

Poirel, Christopher L. “Bridging Methodological Gaps in Network-Based Systems Biology.” 2013. Web. 22 Jan 2021.

Vancouver:

Poirel CL. Bridging Methodological Gaps in Network-Based Systems Biology. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/23899.

Council of Science Editors:

Poirel CL. Bridging Methodological Gaps in Network-Based Systems Biology. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23899

16. Parikh, Nidhi Kiranbhai. Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 The rapid increase in urbanization poses challenges in diverse areas such as energy, transportation, pandemic planning, and disaster response. Planning for urbanization is a big… (more)

Subjects/Keywords: Behavior Modeling; Simulation Analytics; Social Simulations; Synthetic Information; Transient Population; Urban Computing

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APA (6th Edition):

Parikh, N. K. (2017). Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84967

Chicago Manual of Style (16th Edition):

Parikh, Nidhi Kiranbhai. “Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach.” 2017. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/84967.

MLA Handbook (7th Edition):

Parikh, Nidhi Kiranbhai. “Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach.” 2017. Web. 22 Jan 2021.

Vancouver:

Parikh NK. Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/84967.

Council of Science Editors:

Parikh NK. Behavior Modeling and Analytics for Urban Computing: A Synthetic Information-based Approach. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/84967


Virginia Tech

17. Tuli, Gaurav. Modeling and Twitter-based Surveillance of Smoking Contagion.

Degree: PhD, Computer Science and Applications, 2016, Virginia Tech

 Nicotine, in the form of cigarette smoking, chewing tobacco, and most recently as vapor smoking, is one of the most heavily used addictive drugs in… (more)

Subjects/Keywords: Tobacco Epidemic; Twitter-based Surveillance; Smoking-related Messaging; Electronic-cigarette; Networks; Control of Contagion Pro cesses; Modeling and Simulation

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APA (6th Edition):

Tuli, G. (2016). Modeling and Twitter-based Surveillance of Smoking Contagion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64426

Chicago Manual of Style (16th Edition):

Tuli, Gaurav. “Modeling and Twitter-based Surveillance of Smoking Contagion.” 2016. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/64426.

MLA Handbook (7th Edition):

Tuli, Gaurav. “Modeling and Twitter-based Surveillance of Smoking Contagion.” 2016. Web. 22 Jan 2021.

Vancouver:

Tuli G. Modeling and Twitter-based Surveillance of Smoking Contagion. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/64426.

Council of Science Editors:

Tuli G. Modeling and Twitter-based Surveillance of Smoking Contagion. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64426


Virginia Tech

18. Pei, Guanhong. Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model.

Degree: PhD, Electrical Engineering, 2013, Virginia Tech

 We investigate diverse aspects of the performance of wireless networks, including throughput, delay and distributed complexity. One of the main challenges for optimizing them arises… (more)

Subjects/Keywords: Wireless Networks; Cross-layer Design; Physical Interference; Approximation Algorithms; Distributed Algorithms

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APA (6th Edition):

Pei, G. (2013). Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19219

Chicago Manual of Style (16th Edition):

Pei, Guanhong. “Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/19219.

MLA Handbook (7th Edition):

Pei, Guanhong. “Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model.” 2013. Web. 22 Jan 2021.

Vancouver:

Pei G. Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/19219.

Council of Science Editors:

Pei G. Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19219


Virginia Tech

19. Kuhlman, Christopher J. High Performance Computational Social Science Modeling of Networked Populations.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 Dynamics of social processes in populations, such as the spread of emotions, influence, opinions, and mass movements (often referred to individually and collectively as contagions),… (more)

Subjects/Keywords: Social behavior; Contagions; Networks; Control of contagion processes; Graph dynamical systems; Modeling and simulation; Rapid d

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APA (6th Edition):

Kuhlman, C. J. (2013). High Performance Computational Social Science Modeling of Networked Populations. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51175

Chicago Manual of Style (16th Edition):

Kuhlman, Christopher J. “High Performance Computational Social Science Modeling of Networked Populations.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/51175.

MLA Handbook (7th Edition):

Kuhlman, Christopher J. “High Performance Computational Social Science Modeling of Networked Populations.” 2013. Web. 22 Jan 2021.

Vancouver:

Kuhlman CJ. High Performance Computational Social Science Modeling of Networked Populations. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/51175.

Council of Science Editors:

Kuhlman CJ. High Performance Computational Social Science Modeling of Networked Populations. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51175

20. Hamid, Tania. On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study.

Degree: MS, Computer Science and Applications, 2015, Virginia Tech

 A graph dynamical system (GDS) is a theoretical construct that can be used to simulate and analyze the dynamics of a wide spectrum of real… (more)

Subjects/Keywords: Graph Dynamical Systems; GDS; MapReduce; Map; Reduce; Hadoop

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APA (6th Edition):

Hamid, T. (2015). On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/54546

Chicago Manual of Style (16th Edition):

Hamid, Tania. “On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study.” 2015. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/54546.

MLA Handbook (7th Edition):

Hamid, Tania. “On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study.” 2015. Web. 22 Jan 2021.

Vancouver:

Hamid T. On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/54546.

Council of Science Editors:

Hamid T. On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/54546


Virginia Tech

21. Maloo, Akshay. Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 Dynamic Behavior Visualizer (DBV) is a visual analytics environment to visualize the spatial and temporal movements and behavioral changes of an individual or a group,… (more)

Subjects/Keywords: Information Visualization; Visual Analytics; Data Modeling; Networked Models

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APA (6th Edition):

Maloo, A. (2014). Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25296

Chicago Manual of Style (16th Edition):

Maloo, Akshay. “Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models.” 2014. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/25296.

MLA Handbook (7th Edition):

Maloo, Akshay. “Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models.” 2014. Web. 22 Jan 2021.

Vancouver:

Maloo A. Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/25296.

Council of Science Editors:

Maloo A. Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25296


Virginia Tech

22. Kannan, Vijayasarathy. A Distributed Approach to EpiFast using Apache Spark.

Degree: MS, Computer Science and Applications, 2015, Virginia Tech

 EpiFast is a parallel algorithm for large-scale epidemic simulations, based on an interpretation of the stochastic disease propagation in a contact network. The original EpiFast… (more)

Subjects/Keywords: computational epidemiology; parallel programming; distributed computing

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APA (6th Edition):

Kannan, V. (2015). A Distributed Approach to EpiFast using Apache Spark. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/55272

Chicago Manual of Style (16th Edition):

Kannan, Vijayasarathy. “A Distributed Approach to EpiFast using Apache Spark.” 2015. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/55272.

MLA Handbook (7th Edition):

Kannan, Vijayasarathy. “A Distributed Approach to EpiFast using Apache Spark.” 2015. Web. 22 Jan 2021.

Vancouver:

Kannan V. A Distributed Approach to EpiFast using Apache Spark. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/55272.

Council of Science Editors:

Kannan V. A Distributed Approach to EpiFast using Apache Spark. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/55272


Virginia Tech

23. Soundarapandian, Manikandan. Relational Computing Using HPC Resources: Services and Optimizations.

Degree: MS, Computer Science and Applications, 2015, Virginia Tech

 Computational epidemiology involves processing, analysing and managing large volumes of data. Such massive datasets cannot be handled efficiently by using traditional standalone database management systems,… (more)

Subjects/Keywords: distributed databases; HPC; supercomputers; computational epidemiology

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APA (6th Edition):

Soundarapandian, M. (2015). Relational Computing Using HPC Resources: Services and Optimizations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56586

Chicago Manual of Style (16th Edition):

Soundarapandian, Manikandan. “Relational Computing Using HPC Resources: Services and Optimizations.” 2015. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/56586.

MLA Handbook (7th Edition):

Soundarapandian, Manikandan. “Relational Computing Using HPC Resources: Services and Optimizations.” 2015. Web. 22 Jan 2021.

Vancouver:

Soundarapandian M. Relational Computing Using HPC Resources: Services and Optimizations. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/56586.

Council of Science Editors:

Soundarapandian M. Relational Computing Using HPC Resources: Services and Optimizations. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56586


Virginia Tech

24. Subbiah, Rajesh. An activity-based energy demand modeling framework for buildings: A bottom-up approach.

Degree: MS, Computer Science and Applications, 2013, Virginia Tech

 Energy consumption by buildings, due to various factors such as temperature regulation, lighting, poses a threat to our environment and energy resources. In the United… (more)

Subjects/Keywords: energy; buildings; activity; regression models; smart grid; demand

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APA (6th Edition):

Subbiah, R. (2013). An activity-based energy demand modeling framework for buildings: A bottom-up approach. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23084

Chicago Manual of Style (16th Edition):

Subbiah, Rajesh. “An activity-based energy demand modeling framework for buildings: A bottom-up approach.” 2013. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/23084.

MLA Handbook (7th Edition):

Subbiah, Rajesh. “An activity-based energy demand modeling framework for buildings: A bottom-up approach.” 2013. Web. 22 Jan 2021.

Vancouver:

Subbiah R. An activity-based energy demand modeling framework for buildings: A bottom-up approach. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/23084.

Council of Science Editors:

Subbiah R. An activity-based energy demand modeling framework for buildings: A bottom-up approach. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23084


Virginia Tech

25. Singh, Meghendra. Human Behavior Modeling and Calibration in Epidemic Simulations.

Degree: MS, Computer Science and Applications, 2019, Virginia Tech

 In the real world, individuals can decide to adopt certain behaviors that reduce their chances of contracting a disease. For example, using hand sanitizers can… (more)

Subjects/Keywords: Human behavior modeling; Agent based simulation; Markov decision processes

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APA (6th Edition):

Singh, M. (2019). Human Behavior Modeling and Calibration in Epidemic Simulations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87050

Chicago Manual of Style (16th Edition):

Singh, Meghendra. “Human Behavior Modeling and Calibration in Epidemic Simulations.” 2019. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/87050.

MLA Handbook (7th Edition):

Singh, Meghendra. “Human Behavior Modeling and Calibration in Epidemic Simulations.” 2019. Web. 22 Jan 2021.

Vancouver:

Singh M. Human Behavior Modeling and Calibration in Epidemic Simulations. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/87050.

Council of Science Editors:

Singh M. Human Behavior Modeling and Calibration in Epidemic Simulations. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87050


Virginia Tech

26. Zhang, Bo. Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication.

Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech

 Lock-based synchronization on multiprocessors is inherently non-scalable, non-composable, and error-prone. These problems are exacerbated in distributed systems due to an additional layer of complexity: multinode… (more)

Subjects/Keywords: Cache-Coherence; Distributed Queuing; Contention Management; Software Transactional Memory; Replication; Quorum System

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APA (6th Edition):

Zhang, B. (2011). Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29571

Chicago Manual of Style (16th Edition):

Zhang, Bo. “Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication.” 2011. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/29571.

MLA Handbook (7th Edition):

Zhang, Bo. “Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication.” 2011. Web. 22 Jan 2021.

Vancouver:

Zhang B. Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/29571.

Council of Science Editors:

Zhang B. Supporting Software Transactional Memory in Distributed Systems: Protocols for Cache-Coherence, Conflict Resolution and Replication. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29571


Virginia Tech

27. Khan, Mohammed Saquib Akmal. Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases.

Degree: MS, Computer Science and Applications, 2015, Virginia Tech

 Real-time Spatio-Temporal Analytics has become an integral part of Epidemiological studies. The size of the spatio-temporal data has been increasing tremendously over the years, gradually… (more)

Subjects/Keywords: Data Analytics; Data Mining; Distributed Systems; Database Systems

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APA (6th Edition):

Khan, M. S. A. (2015). Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51223

Chicago Manual of Style (16th Edition):

Khan, Mohammed Saquib Akmal. “Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases.” 2015. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/51223.

MLA Handbook (7th Edition):

Khan, Mohammed Saquib Akmal. “Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases.” 2015. Web. 22 Jan 2021.

Vancouver:

Khan MSA. Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/51223.

Council of Science Editors:

Khan MSA. Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/51223


Virginia Tech

28. Banerjee, Sharmi. Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression.

Degree: PhD, Electrical Engineering, 2019, Virginia Tech

 A cell is the basic unit of any living organism. Cells contain nucleus that contains DNA, self replicating material often called the blueprint of life.… (more)

Subjects/Keywords: Epigenetic factors; gene expression; transcription factors; histone marks; DNA

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APA (6th Edition):

Banerjee, S. (2019). Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/94393

Chicago Manual of Style (16th Edition):

Banerjee, Sharmi. “Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression.” 2019. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/94393.

MLA Handbook (7th Edition):

Banerjee, Sharmi. “Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression.” 2019. Web. 22 Jan 2021.

Vancouver:

Banerjee S. Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/94393.

Council of Science Editors:

Banerjee S. Computational Approaches to Predict Effect of Epigenetic Modifications on Transcriptional Regulation of Gene Expression. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/94393


Virginia Tech

29. Swaminathan, Anand. An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model.

Degree: MS, Computer Science and Applications, 2014, Virginia Tech

 The problem of influence maximization has been studied extensively with applications that include viral marketing, recommendations, and feed ranking. The optimization problem, first formulated by… (more)

Subjects/Keywords: Influence maximization; complex contagion; linear threshold

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APA (6th Edition):

Swaminathan, A. (2014). An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49381

Chicago Manual of Style (16th Edition):

Swaminathan, Anand. “An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model.” 2014. Masters Thesis, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/49381.

MLA Handbook (7th Edition):

Swaminathan, Anand. “An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model.” 2014. Web. 22 Jan 2021.

Vancouver:

Swaminathan A. An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/49381.

Council of Science Editors:

Swaminathan A. An Algorithm for Influence Maximization and Target Set Selection for the Deterministic Linear Threshold Model. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49381

30. Shao, Huijuan. Temporal Mining Approaches for Smart Buildings Research.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 With the advent of modern sensor technologies, significant opportunities have opened up to help conserve energy in residential and commercial buildings. Moreover, the rapid urbanization… (more)

Subjects/Keywords: Data mining; Sustainability; Energy disaggregation; Occupancy prediction

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APA (6th Edition):

Shao, H. (2017). Temporal Mining Approaches for Smart Buildings Research. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84349

Chicago Manual of Style (16th Edition):

Shao, Huijuan. “Temporal Mining Approaches for Smart Buildings Research.” 2017. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2021. http://hdl.handle.net/10919/84349.

MLA Handbook (7th Edition):

Shao, Huijuan. “Temporal Mining Approaches for Smart Buildings Research.” 2017. Web. 22 Jan 2021.

Vancouver:

Shao H. Temporal Mining Approaches for Smart Buildings Research. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/10919/84349.

Council of Science Editors:

Shao H. Temporal Mining Approaches for Smart Buildings Research. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/84349

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