Tommy Dang: Homepage

ABOUT

I am an associate professor and director of the interactive Data Visualization Lab (iDVL) at Texas Tech University.

RESEARCH INTERESTs

Developing methods and tools for visual analytics - an integrated approach combining visualization, human factors and data analysis to derive insight from massive, dynamic, and ambiguous data.

EDUCATION

2010-2014: Phd in Computer Science, University of Illinois at Chicago. My PhD advisor was Prof. Leland Wilkinson

2008-2009: M.Sc. in Computer Science, University of Illinois at Chicago

2006-2008: M.Sc. in Computer Engineering, Politecnico di Milano, Italy

2001-2006: B.Sc. in Computer Science, University of Technology, Vietnam

WORK EXPERIENCE

2024-Present: Associate Professor at Texas Tech University, Lubbock, Texas

2016-2024: Assistant Professor at Texas Tech University, Lubbock, Texas

2014-2016: Postdoctoral researcher at Electronic Visualization Laboratory, Chicago

2017-2018: Consultant in computational visualization for Wave Computing, Santa Clara, CA

2015-2016: Consultant in network visualization for Objectivity Inc., San Jose, CA

2014-2015: Consultant in data visualization for Skytree Inc. - The Machine Learning Company

2008-2014: Research assistant in the Computer Science Department at University of Illinois at Chicago

SELECTED JOURNAL PUBLICATIONS

2016: [J5] Tuan Dang, Nick Pendar, and Angus Forbes. TimeArcs: Visualizing Fluctuations in Dynamic Networks. Computer Graphics Forum 35(3), EuroVis 2016.

DOI

2014: [J4] Tuan Dang and Leland Wilkinson. Transforming Scagnostics to Reveal Hidden Features. IEEE Transactions on Visualization and Computer Graphics 20(12), VAST 2014.

DOI

2012: [J3] Tuan Dang, Anushka Anand, and Leland Wilkinson. TimeSeer: Scagnostics for High-Dimensional Time Series. IEEE Transactions on Visualization and Computer Graphics 19(3), TVCG 2012.

DOI

2010: [J1] Tuan Dang, Leland Wilkinson, and Anushka Anand. Stacking Graphic Elements to Avoid Over-Plotting. IEEE Transactions on Visualization AndComputer Graphics 16(6), InfoVis 2010.

DOI

INVITED TALKS

2021,2022,2023,2024: Introduction to Computer Science. WCOE 2022 Summer Camp. Faculty talk

2022: Data visualization and applications. Data Science Summer Workshop. Sam Houston State University , TX

2021: Multivariate time series Analysis. Distinguished Computer Science Colloquium. New Mexico Tech, NM

2020: Visual Analytics for high-dimensional and time-series. Spring 2020 NSF CAC Industry Advisory Board. Keynote Speech (Online)

2020: Multidimensional Time Series Visualization. TTU Computer Science departmental seminars. Lubbock, TX

2020: Introduction to Computer Science. WCOE 2020 Summer Camp. Faculty talk (Online)

2019: Visual analytics and Virtual Reality. The Cognition & Cognitive Neuroscience area of Experimental Psychology. Lubbock, TX

2018: VR and AR in Unity. Lab Innovations with Technology. Webinar with Cal State faculty

2018: Data-center Automation, Analytics, and Control with Redfish. Dell EMC booth. Kay Bailey Convention Center Dallas, TX

Giving a talk at Dell EMC booth

2018: Visualizing, Monitoring, and Automating Data Centers. Fall 2018 NSF CAC Industry Advisory Board Meeting. Denton, TX

2017: Visualizing Biological Pathways. Bio-IT World Conference & Expo. Cambridge Healthtech Institute in Boston, MA

2016: Data visualization and visual analytics. TTU Computer Science departmental seminars. Lubbock, TX

2015: Feature-based Visual Analysis. Chicago Chapter ACM. Chicago, IL

2014: Visualizing relationships in massive and dynamic data. Skytree tech talk. San Jose, CA

2013: Interactive Visual Analysis of Images. Doctoral Colloquium, IEEE VisWeek. Atlanta, GA

ACTIVITIES

2024: Reviewer for one tenure and promotion dossier externally.

2023: Reviewer for DOE PAMS, U.S. DOE Phase IIB SBIR Proposal.

2022: Finance Chair of BDCAT2022, 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies

2022: Program Committee of EnVirVis 2022, ISVC 2022.

2021: Reviewer for DOE, The Office of Advanced Scientific Computing Research (ASCR) within the Department of Energy Office of Science.

2021: Program Committee of ACM PEARC21, EnVirVis 2021, ISVC 2021.

2020-2021: Topic editor for MDPI Sensor journal.

2020: Reviewer for NSF the CCRI Program.

2020: IPC of IMMM 2020, EnVirVis 2020 , ISVC 2020, VDS 2020, and ACM Conference on Recommender Systems

2019: Program Committee of the 13th ACM Conference on Recommender Systems, The IEEE International Workshop on Deep Analysis of Data-Driven Applications, and The 2019 International Workshop on Big Social Media Data Management and Analysis

2018: Program Committee of the 12th ACM Conference on Recommender Systems and Big Data Engineering and BigEACPS'18

2017-2018: Undergraduate Program Committee, Course Equivalent Evaluator, and Admission Committee

2016-2017: Graduate Program Committee (Department Service)

2015-2016: Website chair of the Symposium on Biological Data Visualization (BioVis 2015 and BioVis 2016)

Reviewer for:

2024		Total	2 reviews
	ISVC 2024	International Symposium on Visual Computing	1 paper
	Journal	Computer Graphics Forum	1 paper
2023		Total	7 reviews
	ISVC 2023	International Symposium on Visual Computing	1 paper
	VIS 2023	IEEE Information Visualization	1 paper
	EnvirVis 2023	Visualization in Environmental Sciences 2023 workshop	3 papers
	IJHC	International Journal of Human-Computer Interaction	1 paper
	TVCG 2023	IEEE Transactions on Visualization and Computer Graphics	1 paper
2022		Total	3 reviews
	ISVC 2022	Symposium on Visual Computing	1 paper
	TVCG 2022	IEEE Transactions on Visualization and Computer Graphics	1 paper
	EnvirVis 2022	Visualization in Environmental Sciences 2022 workshop	1 paper (as review coordinator)
2021		Total	17 reviews
	IoT 2021	IEEE Internet of Things Journal	1 paper
	TVCG 2021	IEEE Transactions on Visualization and Computer Graphics	1 paper
	VISxAI 2021	Visualization for AI Explainability	3 papers
	ISVC 2021	Symposium on Visual Computing	2 papers
	VIS 2021	IEEE Information Visualization	1 short + 1 full papers
	EnvirVis 2021	Visualization in Environmental Sciences 2021 workshop	1 paper
	Journal Supercomputing	International Journal of High-Performance Computer	2 papers
	ACM PEARC21	Practice & Experience in Advanced Research Computing Conference	5 tutorials
2020		Total	20 reviews
	MDPI Sensor	Sensors (ISSN 1424-8220; CODEN: SENSC9)	1 paper
	ACM CHI 2021	Human Factors in Computing Systems - Papers Track	1 paper
	VISxAI at IEEE VIS	Visualization for AI Explainability	2 papers
	PLOS ONE journal	Public Library of Science	1 paper
	IMMM 2020	Advances in Information Mining and Management	1 paper
	RecSys 2020	14th ACM Conference on Recommender Systems	5 papers
	ISMAR 2020	IEEE International Symposium on Mixed and Augmented Reality	1 paper
	VIS 2020	IEEE Information Visualization	3 papers
	VARE 2020	VR/AR in Education	1 paper
	IEEE Access	Twitter of COVID-19 pandemic	2 papers
	ACM IMX 2020	Interactive Media Experiences Conference	1 paper
	Computers Graphics	Computers & Graphics and Visual Computing	1 paper
2019		Total	24 reviews
	PLOS ONE journal	Public Library of Science	1 paper
	CHI 20	The ACM CHI Conference on Human Factors in Computing Systems	2 papers
	BigEACPS'19	Big Data Engineering and Analytics in Cyber-Physical Systems	2 papers
	VAST 2019	IEEE Visual Analytics Science and Technology	4 challenges
	RecSys 2019	ACM Conference on Recommender Systems	3 papers
	InfoVis 2019	IEEE Information Visualization	1 paper
	DADA	IEEE Workshop on Deep Analysis of Data-Driven Applications	3 papers
	INTERACT	The 17th IFIP TC.13 International Conference on HCI	1 paper
	EuroVis	EG/VGTC Conference on Visualization	1 paper
	GI 19	Graphics Interface 2019	2 papers
	IEEE VR 2019	IEEE Conference on Virtual Reality and 3D UI	4 papers
2018		Total	24 reviews
	BigEACPS'18	Big Data Engineering and Analytics in Cyber-Physical Systems	2 short + 2 full papers
	VizSec 2018	IEEE Symposium on Visualization for Cyber Security	1 paper
	VAST 2018	IEEE Visual Analytics Science and Technology	2 challenges
	SciVis 2018	The IEEE Scientific Visualization	2 short papers
	RecSys 2018	ACM Conference on Recommender Systems	6 papers
	The 10th NordiCHI	Nordic forum for HCI research	1 paper
	EuroRVVV 2018	Verification and Validation in Visualization	1 paper
	EGPGV 2018	Parallel Graphics and Visualization	1 paper
	CogSci 2018	Cognitive Science Society	1 paper
	EuroVis 2018	EG/VGTC Conference on Visualization	3 papers
	PLOS ONE journal	Public Library of Science	2 papers
2017		Total	26 reviews
	PacificVis 2018	IEEE Pacific Visualization Symposium	4 papers+ 3 visualization notes
	SciVis 2017	IEEE Scientific Visualization	2 papers
	VAST 2017	IEEE Visual Analytics Science and Technology	2 papers
	InfoVis 2017	IEEE Information Visualization	2 papers
	Geospatial	Open Geospatial Data, Software and Standards	2 papers
	EuroRV3 2017	EuroVis Workshop on Verification and Visualization	2 papers
	EuroVis 2017	EG/VGTC Conference on Visualization	4 papers + 2 STARs + 3 short
2016		Total	19 reviews
	PacificVis 2017	IEEE Pacific Visualization Symposium	6 papers+ 3 visualization notes
	SciVis 2016	IEEE Scientific Visualization	1 paper
	VAST 2016	IEEE Visual Analytics Science and Technology	4 papers
	InfoVis 2016	IEEE Information Visualization	4 papers
	VIP 2016	Workshop on Visualization in Practice	1 paper
2015		Total	9 reviews
	EuroVis 2016	EG/VGTC Conference on Visualization	5 papers
	PacificVis 2016	IEEE Pacific Visualization Symposium	3 papers
	InfoVis 2015	IEEE Information Visualization	1 paper

Committee member for:

Date	Title	Student	Program	Role
2024	Visual Analytics for Complex Multivariate Data: Techniques for Soil Science, Temporal Networks, and Interactive 3D Visualization	Jake Gonzalez	PhD defense	Committee Chair
	Error component models for traffic crash severity analysis	Rohan Shrestha	PhD defense	Dean Representative
	Security of Voice-Interactive Devices: Exploring Vulnerabilities and Countermeasures	Tasnia Ashrafi Heya	PhD defense	Committee Member
	Pattern Recognition and Analysis in Imbalanced Sequential Data	Saroj Gopali	PhD defense	Committee Member
	Optimizing High-Performance Computing Systems: Insights from System Monitoring, Workload Management, and Scheduling Strategies	Jie Li	PhD defense	Committee Member
	Sequenced Decision-Making Models and Algorithms for Piping Maintenance optimization	Eric Kwaku Asare Bediako	PhD defense	Dean Representative
	UPower and Performance Characterization of Machine Learning Algorithms on GPUs	Muni Chetty	Master Thesis	Committee Member
2023	Interactive Visualization and Event Detection in Time-series Data	Huyen Nguyen	PhD defense	Committee Chair
	Unobserved heterogeneity in ramp crashes: Insights from random parameter and nonlinear random parameter models	Nardos Feknssa	PhD defense	Dean Representative
	Inkjet-Printed ECG Electrodes and AI-based Data Reliability for Smart-Health CPS	Mst Moriom Rojy Momota	PhD defense	Committee Member
	Attacks and Defenses in Privacy-Preserving Representation Learning	Huixin Zhan	PhD defense	Committee Member
	Novel Vulnerability Detection Techniques for Ethereum-based Smart Contracts	Zulfiqar Ali Khan	PhD defense	Committee Member
	Dynamic Control and Automation of High-End Computing Systems	Ghazanfar Ali	PhD defense	Committee Member
	Enabling Context-Aware Natural Language Processing: From Dense Vector Representations to Contextual Features	Luis Felipe Gutierrez	PhD defense	Committee Member
	Large-scale adoption of grid-forming inverter controls to enable ancillary services modeling and evaluation for microgrids	Laura Ward	PhD defense	Dean Representative
2022	Effective Management of Time Series Data	Cristiano Caon	MS defense	Committee Member
	Machine Learning Methods for Modeling Streamflow in Intermittent Rivers and Ephemeral Streams	Farhang F.	PhD defense	Dean Representative
	Development of an Integrated Approach for Improving Concrete Pavement Performance: Field Testing and Analytical Studies Insights	Fouzieh R.	PhD defense	Dean Representative
	Novel Soil Core Visualization of Diagnostic Soil Feature Pedogenesis	Cynthia Jordan	MS defense	Committee Member
	Protecting Data Privacy with Anonymity: Quantifying Instinctive Measures and Intelligent Efficiently Search for Optimal Anonymized Data	Sevgi Arca	PhD defense	Committee Member
	Capturing and Reproducing Job Workflows in HPC Systems	Nhi Nguyen	MS defense	Committee Member
2021	Integrating visual analytics and machine learning approaches for analyzing multivariate proximal sensor data	Vung Pham	PhD defense	Committee Chair
	Gene-NE: A Computational Assessment of the evolution of gene names mined from the text of the biomedical literature	Lauren Kirsch	MS Thesis in Biotechnology	Committee Co-Chair
2020	Network Visual Analytics of Object Detection Model	Jian Guo	MS Project	Committee Chair
	Scaling MapReduce-based Big Data Analytics Algorithms	G. Chalumporn	PhD defense	Committee Member
	Instilling Computational Thinking through AR	Vinh Nguyen	PhD defense	Committee Chair
	Using Graph Theory to Investigate Underlying Patterns	Jake Gonzalez	MS Project	Committee Chair
	Real-time Sound Visualization	Nhat Le	MS thesis	Committee Chair
	Deep Evidential Reinforcement Learning	Moi Chatterjee	PhD defense	Committee member
	CPU Thermal Predictive Analysis for Data Centers	Dheeraj Cidda	MS Project	Committee member
2019	Combining Stateless and Stateful Services in Microservice	Jordan Hudgens	MS Project	Committee member
	Big Data Stream Analytics with AI Techniques	Vibhuti Gupta	PhD in CS	Committee member
	Improving Objects Recognition through FFT...	Varsha Nair	MS thesis in CS	Committee member
	Extending swift and robust prompted navigation...	Abhishek Kumar	MS Project	Committee member
	Visual Analytics of Multidimensional Immersive HPCC	Lino Virgen	MS thesis in CS	Committee Chair
2018	Copula Regression and Robustness	Quan Hoang	PhD in Mathematics	External committee
	A Machine Learning-based Security Vulnerability...	Ahmad Aseeri	PhD in CS	Committee member