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about:personnel:raju_gottumukalla [2021/03/08 14:51]
sally.johnson 		about:personnel:raju_gottumukalla [2022/06/14 16:34] (current)
sally.johnson [Education]
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 <fs x-large>**Raju Gottumukkala, Ph.D.**</fs> <fs x-large>**Raju Gottumukkala, Ph.D.**</fs>
  
-{{:personnel:raju_gottumukkala.jpg?275 +{{:personnel:raju_gottumukkala.jpg?300|}}
- |}}+
  
-**<fs large>Contact Information</fs>**\\+//CVDI Site Director | Assistant Professor | Director of Research, Informatics Research Insititute | UL Lafayette//\\ 
 + 
 +====Contact Information====
  
 **Phone:** (337) 482-0632\\ **Phone:** (337) 482-0632\\
-**Email:** [[raju@louisiana.edu|mailto:raju@louisiana.edu]]\\+**Email:** [[raju@louisiana.edu]]\\
 **Website:** http://www.ucs.louisiana.edu/~nrg0821/index.html\\ **Website:** http://www.ucs.louisiana.edu/~nrg0821/index.html\\
  
-**<fs large>Education</fs>**\\+====Education====
  
-Ph.D. - Computational Analysis and Modeling |Louisiana Tech University (2008)\\+  * Ph.D. - Computational Analysis and Modeling |Louisiana Tech University (2004 - 2007)\\ 
 +  * M.S. - Computer Science | Louisiana Tech University (2000 - 2003)\\ 
 +  * B.E. - Computer Science and Engineering | Hindustan College of Engineering (1995 - 1999)\\ 
 +====Biography====
  
-M.S. - Computer Science | Louisiana Tech University (2003)\\ 
- 
-B.E. - Computer Science and Engineering | University of Madras (1999)\\ 
-\\ 
-//CVDI Site Managing Director, UL Lafayette//\\ 
- 
-====Biography==== 
 As the Director of Research, he leads several research initiatives in the broader area of cyber physical systems and big data across three centers within IRI. He is also the Managing Site Director of NSF CVDI – an NSF Industry/University Cooperative Research Center in the area of big data. His research interest is in the broader area of cyber physical systems – specifically addressing real-world informatics and integrated systems modeling issues. He has led various efforts in the area of big data platforms, system resilience, modeling & verification of distributed systems, software defined networks, visual analytics, and evolutionary networks. His research has generated over $7M in funding from various state and federal agencies including NSF, DHS S&T, DOE, state agencies, and the private sector. He has 15 peer-reviewed conference/journal publications, 2 U.S. Patents, and authored several technical reports. He is also part of the US Ignite community leadership group and representative from the city of Lafayette. He has also served on various conference program, and review committees. Most recently he served as the Industry sponsorship chair for the 1st and 2nd IEEE International Conference on Big Data, and is invited to serve as the workshop chair for the IEEE International Conference on Data Mining (ICDM) 2017.\\ As the Director of Research, he leads several research initiatives in the broader area of cyber physical systems and big data across three centers within IRI. He is also the Managing Site Director of NSF CVDI – an NSF Industry/University Cooperative Research Center in the area of big data. His research interest is in the broader area of cyber physical systems – specifically addressing real-world informatics and integrated systems modeling issues. He has led various efforts in the area of big data platforms, system resilience, modeling & verification of distributed systems, software defined networks, visual analytics, and evolutionary networks. His research has generated over $7M in funding from various state and federal agencies including NSF, DHS S&T, DOE, state agencies, and the private sector. He has 15 peer-reviewed conference/journal publications, 2 U.S. Patents, and authored several technical reports. He is also part of the US Ignite community leadership group and representative from the city of Lafayette. He has also served on various conference program, and review committees. Most recently he served as the Industry sponsorship chair for the 1st and 2nd IEEE International Conference on Big Data, and is invited to serve as the workshop chair for the IEEE International Conference on Data Mining (ICDM) 2017.\\
  
 ====Investigated Projects (PI)==== ====Investigated Projects (PI)====
  
-[[projects:year9:9a.008.ul|Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL]]\\ +  * [[projects:year10:10a.005.ul|10a.005.UL_TAU - Improving Drowsiness and Fatigue Prediction of Drivers with Multi-modal Representation Learning and Information Fusion: Application to Traffic Safety]]\\ 
-[[projects:year8:8a.006.ul|Visual Analytics of Real-time Hospital Emergency Department Operations: A Human-Centric Approach 8a.006.UL]]\\ +  * [[projects:year10:10a.001.ul|10a.001.UL_TAU - AnonyTrack: A Privacy-aware People Localization and Tracking Within Buildings with Multi-modal Learning]]\\ 
-[[projects:year7:7a.001.ul|Fault-Tolerance Strategies for Handling Data-Streams on Edge-Networks: Application to Smart Buildings 7a.001.UL]]\\ +  * [[projects:year9:9a.008.ul|Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL]]\\ 
-[[projects:year6:6a.025.ul|An Ontology-based Architecture for Providing Insights 6a.025.UL]]\\ +  * [[projects:year8:8a.006.ul|Visual Analytics of Real-time Hospital Emergency Department Operations: A Human-Centric Approach 8a.006.UL]]\\ 
-Data Management Strategy for the Water Institute of the Gulf\\ +  * [[projects:year7:7a.001.ul|Fault-Tolerance Strategies for Handling Data-Streams on Edge-Networks: Application to Smart Buildings 7a.001.UL]]\\ 
-Big Data Research for Automated Detection and Recognition of Wildlife\\ +  * [[projects:year6:6a.025.ul|An Ontology-based Architecture for Providing Insights 6a.025.UL]]\\ 
-[[projects:year4:15.2|Predicting Future Relations: Incremental and Robust Link Prediction 15.2]]\\ +  * Data Management Strategy for the Water Institute of the Gulf\\ 
-Visual Analytic Methods for Dynamic Graphs\\ +  * Big Data Research for Automated Detection and Recognition of Wildlife\\ 
-Visual Analytic Approaches to Mining Large-scale Time-Evolving Graphs\\ +  * [[projects:year4:15.2|Predicting Future Relations: Incremental and Robust Link Prediction 15.2]]\\ 
-Real-Time Analysis and Visualization of Multi-dimensional Sensor Data\\+  * Visual Analytic Methods for Dynamic Graphs\\ 
 +  * Visual Analytic Approaches to Mining Large-scale Time-Evolving Graphs\\ 
 +  * Real-Time Analysis and Visualization of Multi-dimensional Sensor Data\\
  
 ====Investigated Projects (Co-PI)==== ====Investigated Projects (Co-PI)====
  
-[[projects:year9:9a.009.tau|Advanced Machine Learning for Industrial Application – Partially Supporting Measures Against COVID19 – 9a.009.TAU]]\\ +  * [[projects:year9:9a.009.tau|Advanced Machine Learning for Industrial Application – Partially Supporting Measures Against COVID19 – 9a.009.TAU]]\\ 
-[[projects:year6:6a.050.ul|Enabling Mobile Visual Analytics 6a.050.UL]]\\ +  * [[projects:year6:6a.050.ul|Enabling Mobile Visual Analytics 6a.050.UL]]\\ 
-A Predictive Analytics Framework for Spatiotemporal Hotspots\\ +  * A Predictive Analytics Framework for Spatiotemporal Hotspots\\ 
-A Spatio-Temporal Data Mining Approach for Fraud Detection\\ +  * A Spatio-Temporal Data Mining Approach for Fraud Detection\\ 
-Social Media for Decision Informatics with Application to Emerging Events\\ +  * Social Media for Decision Informatics with Application to Emerging Events\\
 ====Involved Projects (Researcher)==== ====Involved Projects (Researcher)====
  
-[[projects:year7:7a.003.ul|Ontology-based Fast Semantic Indexing for Structured and Unstructured Data in Health Care 7a.003.UL]]\\ +  * [[projects:year7:7a.003.ul|Ontology-based Fast Semantic Indexing for Structured and Unstructured Data in Health Care 7a.003.UL]]\\ 
-[[projects:year6:6a.022.ul|Mitigating Concept Drift for Time-varying Domain through Adaptive Learning 6a.022.UL]]\\+  * [[projects:year6:6a.022.ul|Mitigating Concept Drift for Time-varying Domain through Adaptive Learning 6a.022.UL]]\\
  
 ====Publications==== ====Publications====
about/personnel/raju_gottumukalla.1615236674.txt.gz · Last modified: 2021/03/08 14:51 by sally.johnson

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