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Dr. Sugam Sharma

Dr. Sugam Sharma

Position
  • CSSM Systems Architect Leader & Researcher
Software Systems Development and Architecture
Data, Databases, Data Science Research
Social & Legal Informatics, Tech Innovation Research
Founder, eFeed-Hungers.com

Contact Info

112 Office And Lab
2401 Osborn Dr
Ames
,
IA
50011-2401

Education

  • PhD, Computer Science, Iowa State University, Iowa, USA
  • MS, Computer Science, Jackson State University, MS, USA
  • BE, Computer Science and Engineering, Roorkee, India
  • BS, Mathematics, NREC, India

More Information


Selected 5 editorial activities:

  • Editor-in-Chief, International Journal of Spatio-Temporal Data Science (IJSTDS), Inderscience.
  • Associate Editor, Sustainable Computing: Informatics and Systems (SUSCOM, Sustainable agriculture area), Elsevier.
  • Editor, International Journal of Information Management Data Insights, Elsevier.
  • Executive Editor, International Journal of Emerging Computing for Sustainable Agriculture (IJECSA), Inderscience.
  • Advisory Panel, Information Journal, MDPI.

 


Selected 5 publications:

  • Sharma, Sugam, Shashi Gadia, and Udoyara Sunday Tim, "Subset, subquery and queryable-visualization in parametric big data model." International Journal of Information Management Data Insights (2021): 100003, Elsevier.
  • Sharma, Sugam, Ritu Shandilya, U. Sunday Tim, and Johnny Wong, "eFeed-Hungers.com: Mitigating global hunger crisis using next generation technologies." Telematics and Informatics 35.2 (2018): 446-456, Elsevier. (Globally notable)
  • Sharma, Sugam, Ritu Shandilya, U. Sunday Tim, and Johnny Wong, "eFeed-Hungers: Reducing food waste and hunger using ICT." Resources, Conservation and Recycling 131 (2018): 99-100, Elsevier.
  • Sharma, Sugam, Udoyara Sunday Tim, and Shashi Gadia. "Visual subsetting, conversion and complex query exploitation in large spatio-temporal databases." Computers & Electrical Engineering 67 (2018): 309-319, Elsevier.
  • Sharma, Sugam. "Expanded cloud plumes hiding Big Data ecosystem." Future Generation Computer Systems 59 (2016): 63-92, Elsevier.