Chintan B. Maniyar

Photo:
Doctoral Student
Graduate Teaching Assistant

Contact info

Email:
chintanmaniyar@uga.edu
Office:
Geography-Geology Building, Room 313
Office Hours:
By appointment
Schedule a meeting: https://calendly.com/chintanmaniyar
Phone Number:
347-475-4513
Research Interests:

 

  • Optical/Radar Biophysical Modelling of Natural Resources
  • Predictive Environmental Modelling using AI
  • NLP and social media analysis within citizen science based environmental conservation projects
  • Satellite Image Processing and Automatic Feature Extraction
  • Open-source tools/algorithm development and deployment
GScholar
GitHub
LinkedIn
Other Affiliations:
Institute of Artificial Intelligence, University of Georgia
CV:
Maniyar_Jan2023.pdf (1.47 MB)

I am a tech-geek and an environmentalist, constantly looking for ways to harness technology and AI to contribute towards environment conservation and preservation. A computer scientist at heart, I am particularly interested in studying and monitoring water quality of inland and coastal waterbodies on a global scale. My current research includes:

  • Estimating Sea Surface Salinity using Remote Sensing Data and Machine Learning Methods
  • Studying the TSS variation for water quality using remote sensing and machine learning 
  • Satellite-based cross calibration for very frequent large scale monitoring of cyanobacterial harmful algal blooms
  • Continuous Water Quality Monitoring on a Global Level
Education:
  • PhD in Geography (Current)
    University of Georgia 
    • Area of focus: Ocean Color Remote Sensing, Cyanobacterial Harmful Algal Blooms
  • MS in Artificial Intelligence (Current)
    University of Georgia 
    • Area of focus: Remote Sensing of Salinity using Spatially Explicit Artificial Intelligence
  • M.Tech in Remote Sensing & Geo-Information Sciences (2021)
    Indian Institute of Remote Sensing, ISRO
    • Specialization: Satellite Imagery Processing and Photogrammetry
    • Thesis: Automated Feature Extraction from High Resolution Remotely Sensed Imagery using Object-based Fully Convolutional Networks and Cyclical Learning
  • B.Tech in Computer Engineering (2019)
    Charotar University of Science and Technology 
    • Electives: Digital Image Processing and Artificial Intelligence
    • Thesis: Text Classification and Context Mining for Document Summarization using Weakly Supervised Techniques
Of note:

Best Poster Awards:

  • Maniyar, C.B., Srivastava, D., Matese, A. and Samiappan, S., “Enhancing Sustainable Weed Management in Turf Grass Through Deep Learning and Proximal Sensing” AI Research Day 2022, University of Georgia, USA, November 2022

Best Paper Awards:

  • Maniyar, C.B., Kumar, M. “Deep Learning based Improved Automatic Building Extraction from Open Source High Resolution UAV Imagery” 2nd International Conference on Unmanned Aerial Systems in Geomatics, Indian Institute of Technology, Roorkee, Virtual, April 2021
  • Maniyar, C.B., Kumar, A., Mishra, D.R., “Web-based Interactive Approach for Continuous Monitoring of Indian Inland and Estuarine Waters for Harmful Algal Blooms.” National Symposium on Remote Sensing for Environment Monitoring and Climate Change Assessment: Opportunities and Challenges, Indian Society of Remote Sensing (ISRS) and Indian Society of Geomatics (ISG), Virtual, December 2020

Industry Appreciation Award from Hexagon Geospatial:

  • Maniyar, C.B., Kumar, A., Mishra, D.R., 2020. “Cloud Based Approach for Continuous Monitoring and Assessment of Indian Inland and Estuarine Water Environments using Sentinel-3 OLCI data”. Indian Society of Remote Sensing: National Seminar, Indian Institute of Remote Sensing, Dehradun, Uttarakhand, India
Courses Regularly Taught:
GEOG 1111L
Selected Publications:
  • Peer-reviewed Articles
  • Book Chapters:
    • Maniyar, C.B. & Kumar, A. (2021) Generative Adversarial Network for Cloud Removal from Optical Temporal Satellite Imagery. Soft Computing for Problem Solving (pp. 481-491). Springer. https://doi.org/10.1007/978-981-16-2712-5_39
    • Maniyar, C. B., Bhatt, C. M., Pandit, T. N., & Yadav, D. H. (2019). CHEERBOT: A Step Ahead of Conventional ChatBot. Next-Generation Wireless Networks Meet Advanced Machine Learning Applications (pp. 306-322). IGI Global. https://doi.org/10.4018/978-1-5225-7458-3.ch013
  • Conference Presentations/Posters:
    • Srivastava, D., Matese, A., Maniyar, C.B., Toscano, P., Di Gennaro S.F., “Assessment of Suitable Vegetation Indices Calculated from Remote and Proximal Sensing to Discriminate Irrigation Treatments in Tomato and Melon Crops” 14th European Conference on Precision Agriculture, Bologna, Italy, June 2023  [ Abstract Accepted ]
    •  
    • Maniyar, C.B., Mishra, D.R., Kelly, J., Di Iorio, D. “Monitoring Sea Surface Salinity of the Georgian Coastal Estuaries using Optical Remote Sensing and Machine Learning Techniques” GCE-LTER Annual Meeting 2023, Georgia, USA, January 2023  [ Poster ]
    • Maniyar, C.B., Srivastava, D., Matese, A. and Samiappan, S., “Enhancing Sustainable Weed Management in Turf Grass Through Deep Learning and Proximal Sensing” AI Research Day 2022, University of Georgia, USA, November 2022 – (Best Poster Award) [ Poster ]
    • Maniyar, C.B., Rudresh, M., Kumar, A. and Mishra, D.R., “Modelling Total Suspended Sediments in the Belize Coastal Lagoon using Meta-Learning and Multi-Sensor Remote Sensing” PECORA 22, Colorado, USA, October 2022  [ PPT ]
    • Mathis, J. E., Maniyar, C.B., Mishra, D.R., Dubey, B., Jambeck, J. “Elucidating Patterns of Urban Plastic Pollution in Mumbai using Remote Sensing Technologies” 7th International Marine Debris Conference, Busan, Korea, September 2022  [ PPT available on request ]
    • Maniyar, C.B., Srivastava, D., Matese, A. and Samiappan, S., “Neural Network-based High Throughput Field Phenotyping of Horticultural Crops using Hyperspectral UAV Imagery” MSU/USDA-ARS Research Symposium Summer 2022, Mississippi State University, USA, August 2022  [ Poster ]
    • Maniyar, C.B. and Mishra, D.R., “Multi-Sensor based Global Forecasting of Cyanobacterial Harmful Algal Blooms using Deep Learning with Long Short-Term Memory” IEEE International Geosciences and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022  [ Paper | PPT ]
    • Maniyar, C.B. and Mishra, D.R., “Geo-AI for Forecasting Anthropogenic Harmful Algae Blooms using Sentinel-3 and Open Social Media” ASPRS Virtual Annual Meeting 2022, March 2022 [ PPT | YouTube ]
    • Maniyar, C.B., Kelly, J., Mishra, D.R., “Machine Learning Methods for Sea Surface Salinity Estimation in the Georgian Estuaries using Satellite-based Reflectance Data” American Association of Geographers (AAG) Annual Meeting 2022, New York, USA, February 2022  [ PPT ]
    • Maniyar, C.B., Kumar, M. “Improved Automated Building Extraction from High Resolution Remote Sensing Imagery using Time-Optimized Deep Learning Techniques” American Geophysical Union (AGU) Fall Meeting 2021, New Orleans, USA, December 2021  [ Abstract | Poster ]
    • Maniyar, C.B., Kumar, A. & Mishra, D.R., “Frequent Synoptic Monitoring of Cyanobacterial Harmful Algal Blooms for Potential Prevention of Disease Outbreak” CDC’s Place And Health Conference, November 2021  [ PPT ]   
    • Maniyar, C.B., Kumar, M. “Deep Learning based Improved Automatic Building Extraction from Open Source High Resolution UAV Imagery” 2nd International Conference on Unmanned Aerial Systems in Geomatics, Indian Institute of Technology, Roorkee, April 2021 – (Best Paper Award) [ PPT | YouTube ]
    • Maniyar, C.B., Kumar, A., Mishra, D.R., “Web-based Interactive Approach for Continuous Monitoring of Indian Inland and Estuarine Waters for Harmful Algal Blooms” National Symposium on Remote Sensing for Environment Monitoring and Climate Change Assessment, Indian Society of Remote Sensing (ISRS) and Indian Society of Geomatics (ISG), Virtual, December 2020 – (Best Paper Award)  [ PPT ]
    • Maniyar, C.B., Mishra, D.R. & O’Halloran T., “Ecological Impact of Hurricane Matthew on South Carolina Coastal Marshes and Forests using Time-Series Analysis” National Symposium on Remote Sensing for Environment Monitoring and Climate Change Assessment, Indian Society of Remote Sensing (ISRS) and Indian Society of Geomatics (ISG), Virtual, December 2020  [ PPT ]
    • Maniyar, C.B., Banda, T., Krishna, D., Sharma, C. “Effective Cyanobacterial Harmful Algal Blooms Monitoring using Open Social Media Platforms and Google Earth Engine” National Symposium on Remote Sensing for Environment Monitoring and Climate Change Assessment, Indian Society of Remote Sensing (ISRS) and Indian Society of Geomatics (ISG), Virtual, December 2020  [ Poster ]
    • Maniyar, C.B., Kumar A. “Generative Adversarial Network for Cloud Removal from Temporal Optical Satellite Imagery” SoCProS 2020: 10th International Conference on Soft Computing for Problem Solving at Indian Institute of Technology (Indore), Virtual, December 2020  [ PPT | YouTube ]
    • Maniyar, C.B., Kumar, A., Mishra, D.R., 2020. “Cloud Based Approach for Continuous Monitoring and Assessment of Indian Inland and Estuarine Water Environments using Sentinel-3 OLCI data”. Indian Society of Remote Sensing: National Seminar, Indian Institute of Remote Sensing, Dehradun, Uttarakhand, India, March 2020 (Hexagon Geospatial Industry Appreciation Award)  [ PPT ]
Articles Featuring Chintan B. Maniyar
Chintan

UGA Geography Ph.D. Student Chintan Maniyar Receieves NASA Fellowship

UGA Geography Ph.D. student Chintan
Maniyar has been named a recipient of
NASA’s early career fellowship. The
$150,000 fellowship, known as the Future
Investigators in NASA Earth and Space
Science and Technology (FINNEST), accepts
proposals…

Major Professor

Deepak R Mishra

Merle C. Prunty, Jr. Professor and Associate Head
dmishra@uga.edu

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