Dr. Gunasekaran Manogaran

- Big Data Scientist -
The University of California Davis

John Muir Institute of the Environment (JMIE),
University of California, Davis, USA.
The Barn, 501 Engineering Bikeway,
Davis, CA 95616

email_i

gmanogaran@ucdavis.edu
gmanogaran@asia.edu.tw
gamanogaran-externo@unir.net
gmanogaran@udistrital.edu.co
gunavit@gmail.com

ieee_1

gmanogaran@ieee.org

skype_i

gunavit

Profile Summary

Visiting Researcher in Universidad Distrital Francisco José de Caldas, Bogotá, Colombia (Link)

Visiting Researcher in Doctoral Program of Computer Science, International University of La Rioja (UNIR), 26004 Logroño La Rioja, Spain. (Link)

Adjunct Assistant Professor at Computer Science and Information Engineering, Asia University, Lioufeng Rd., Wufeng, Taichung 41354, Taiwan (Link)

Principal Investigator (PI) for the project entitled “Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy using Deep Convolutional Neural Network”, Fund Allocated: $83,322.51 (USD), Project-ID : #111, funded by Scheme for Promotion of Academic and Research Collaborations (SPARC), Ministry of Human Resource Development, Government of India. (Link)

Co-Principal Investigator (Co-PI) for the project entitled “Agent Based Modeling of HIV epidemic in state of Telangana, India”, Fund: $7500 funded by SHARE INDIA/MediCiti Institute of Medical Sciences, IIPH Hyderabad and Pittsburgh University, USA. (Link)

Co-Investigator for the project entitled #: 601436 “Climate Change Clinical Outcomes Assessment and Prevention Program: MRPI Program Award” (Conditional Acceptance) funded by University of California (UC), USA

Worked as a research assistant for a project on spatio-temporal transmission model of Influenza A (H1N1) using spatio-temporal clustering technique funded by the Indian Council of Medical Research (ICMR), Government of India under award number 32/1/2010-ECD-I/.

Selected as one of the 6 potential member from India to attend hands-on training in the use and application of FRED (Framework for Reconstructing Epidemic Dynamics), agent-based modeling and decision analytic tools developed at Pitt Public Health, Pittsburgh University, USA with Travel Grant Award from SHARE INDIA/MediCiti Institute of Medical Sciences to attend Empowering Indian Health Researchers with Computational Modeling Tools, Pitt Public Health, Pittsburgh University, USA (Link)

Expertise in data mining, machine learning, soft computing based decision making models, statistical analysis, Internet of Things (IoT) analytics, big data analytics and geographical information system for air pollution, NO2 Tropospheric emission monitoring, environmental satellite image processing, biomedical image processing, air pollution modeling, disease modeling, climate change and healthcare applications

Papers from my dissertation, post-doctoral and post-graduate study are published in more than 80 top qualified peer reviewed good impact factor journals, international conferences and book chapters

During postdoctoral study in UC Davis my role includes advance data-analysis and inquiry, expanding and building new software and analytics tools especially with Elsevier and UC Davis faculty

Developed machine learning algorithms and analysis using complete data sets, seeking emerging patterns interfacing of human health, environment, and climate.

Lead interdisciplinary teams across JMIE, UC Davis or campus wide project-based initiatives. Work with researchers in the medical, law, environmental, energy, engineering, and climate science fields.

Guest Editor/Reviewer in various reputed journals such as Springer, Elsevier, Taylor & Francis and John Wiley & Sons

4 years of work and research experience in interdisciplinary settings of computer science, climatology and epidemiology.

1 year worked as visiting professor in computer science department.

Proven experience in big data analytics with multi node Hadoop Distributed File System (HDFS), MapReduce, Apache Mahout Machine Learning, Hive, HBase, Python, SAS, C, C++, JAVA, MATLAB, R and ArcGIS.

Proven experience in book chapter, scientific and grant writing.