The Geographic Information Science & Technology (GIS&T) community has been making key contributions to evolving research challenges in data sciences. There has been a recent explosion in the amounts of spatial data produced by several devices such as smartphones, satellites, space telescopes, medical devices, among others. This variety of such spatial data makes it widely used across important applications. This workshop will serve as a tutorial focusing on the challenges in geospatial data science, as well as a forum for interaction between researchers with both government and private agencies that are tasked to create or leverage geospatial data. This workshop aims to familiarize database researchers with the R&D opportunities in the area of geospatial technology and applications, and to encourage them to apply for research funding in these areas. The workshop will highlight present national-level initiatives to create mission critical geospatial infrastructure and to make DB researchers aware of challenging tasks of data collection, effective storage and access, map visualization, and data analysis, and invite them to participate in these research areas. While participants are expected to be interested in database technologies/data sciences, no specific background in geospatial technologies is expected.
The 4-hour workshop will include:
1) Keynote lectures that will cover major advances in geospatial data sciences and provide both the industry and research perspective.
2) Invited R&D talks researchers in India working on geospatial data science problems.
3) Overview of R&D challenges/opportunities delivered by experts and practitioners from Government agencies.
Bio : Siva Ravada is the Senior Director of Development for the Oracle Spatial and Graph and Mapping technologies at Oracle. Siva has been with Oracle for over 17 years leading the spatial development activities at Oracle, both for on-premise systems as well as for cloud services. Prior to joining Oracle, Siva received his PhD degree from the Univ. Of Minnesota with a thesis on parallel algorithms for spatial databases. Under his leadership, Spatial technology is incorporated into different Oracle products including the database, middleware and applications. He is also a well-known researcher in the industry with over 50 patents and publications in the area of Spatial Databases.
Bio : Mohamed Mokbel (PhD, Purdue University, MSc, BSc, Alexandria University) is Chief Scientist at Qatar Computing Research Institute and a Professor at University of Minnesota. His current research interests focus on systems and machine learning techniques for big spatial data and applications. Mohamed is an ACM Distinguished Scientist. His research work has been recognized by the VLDB 10-years Best Paper Award, four conference Best Paper Awards, and the NSF CAREER Award. Mohamed is the past elected Chair of ACM SIGPATIAL, current Editor-in-Chief for Distributed and Parallel Databases Journal, and on the editorial board of ACM Books, ACM TODS, VLDB Journal, ACM TSAS, and GoeInformatica journals. He has also served as PC Vice Chair of ACM SIGMOD and PC Co-Chair for ACM SIGSPATIAL and IEEE MDM
Bio : Soumya K Ghosh is a Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur (IIT Kharagpur), India. Prior to IIT Kharagpur, he worked for Indian Space Research Organization in area of remote sensing and geographic Information systems for natural resource management. His primary areas of research include Spatial Data Science, Spatial Databases and Services and Cloud Computing. He has published more than 250 articles in peer reviewed journals and internal conference proceedings. He has been awarded the National Geospatial Chair Professorship by Department of Science and Technology, Government of India.
Bio : Umesh Bellur is a faculty in the department of Computer Science at IIT Bombay which he currently heads. His areas of research are distributed computing and systems and he currently is investigating problems in data center resource management as it pertains to serverless computing, large scale event delivery networks and infrastructure as a service clouds. He has published over 50 peer reviewed papers at well respected fora and was awarded the IBM Faculty award as well as the VMWare award for systems research. Prior to joining IIT in 2003, he was the cofounder of a startup in silicon valley that was subsequently acquired by IBM.
Bio : Partha Sarathi Acharya is the CEO of the Indian NSDI and a Scientist at the Department of Science and Technology (DST), Government of India. He has been associated with DST’s flagship program titled ‘Natural Resources Data Management System (NRDMS)’, which led to the birth of the Spatial Data Infrastructure (SDI) Initiatives at national and state levels. He has interests in promoting scientific and technical activities in areas like framing geospatial policies, geospatial interoperability, spatial database design and data modelling, sectoral decision support systems, and development of training modules and kits. He obtained his Master of Science in Physics from Utkal University, Bhubaneswar and M.Phil. in Computer Science from Jawaharlal Nehru University, New Delhi. He has worked as a Visiting Fellow at the State University of New York, Buffalo, USA designing an experimental spatial data model for the development of GIS databases under the UNDP-assisted project “GIS-based Technologies for Local Level Development Planning”.
Bio : Sumit is a Sr Scientist at the Advanced Lab for Geographic Information Sciences and Engineering at the Department of Computer Science and Engineering, IIT Bombay and ra Consultant to Genesys International. He completed his Masters at the City University, London and has worked as a researcher with IIT Bombay, University of Muenster, Keio University, Chubu University and Ordnance Survey. His primary research domain has been spatial databases and analytics. He has published papers in international journals and conferences on topics related to geospatial ontologies, data integration and spatial data infrastructures.