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  • Employee Resources
    • Job Openings
    • Benefits
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    • Staff Senate
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  • Meera Gopinath Sujatha
Meera Gopinath Sujatha

Meera Gopinath Sujatha

  • Part-time Instructional, SEECS

Contact Info

  • Email: m.gopinathsujatha@UND.edu
  • Office: 701.777.2180

Office Address

Upson II Room 366
243 Centennial Drive Stop 7165
Grand Forks, ND 58202-7165

  • Introduction to Machine Learning/Applied Machine Learning (CSCI 443/543/ DATA 532)
  • Introduction to Data Mining (CSCI 456)
  • Data Foundations II (EECS 502)

  • Data Science
  • Machine Learning
  • Environmental Data Analytics
  • Cyber Physical Systems

  • Meera G Sujatha, Prakash Ranganathan, Ronald Marsh, Hassan Reza, Scott Korom, "Threshold Identification of Spectral Indices For HAB detection using Clus-
    tering and Explainable AI techniques"- Published in - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS) -
    2025. 
  • Javvaji, Jaya Sri Raga Navya, Meera G Sujatha, Mamaghani1, Iraj, and Ranganathan, Prakash. "Prediction Models for Concrete Aging Using Machine Learn-
    ing" Accepted to present in 2025 Cyber Awareness and Research Symposium (CARS) - 2025 
  • Meera G Sujatha, Devarshi Patel, Ronald Marsh, and Prakash Ranganathan. "Correlating chlorophyll movement with wind speed and direction using satellite imagery: A case study of Devils Lake, North Dakota." Remote Sensing Applications: Society and Environment 33 (2024): 101099.
  • Meera G Sujatha, Hassan Reza, and Prakash Ranganathan. "A Conceptual Software Framework to Monitor Harmful Algal Blooms (HABs) in Lakes." In 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0610-0619. IEEE, 2024. Meera G Sujatha, Rajesh Godasu, and Prakash Ranganathan. "Classification of Microcystins Based on Temperature Data in North Dakota Lake." In 2024 IEEE World AI IoT Congress (AIIoT), pp. 0142-0150. IEEE, 2024.
  • Meera G Sujatha, Devarshi Patel, Prakash Ranganathan, and Scott Korom. "Multi-variate Factors Assessment of Harmful Algal Blooms (HABs)." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), pp. 1-7. IEEE, 2023.
  • Meera G Sujatha, Prakash Ranganathan, and Scott Korom. "Classification of Microcystins Based on Nutrient Concentration Using Machine Learning Models." In 2023 IEEE World AI IoT Congress (AIIoT), pp. 0535-0541. IEEE, 2023. 
  • Meera G Sujatha, Vaibhav Gupta, Priya Sekhar S, S V Nair, K.R. Anupama "An Efficient Mobile Sink Routing in Wireless Sensor Network Using Dynamic Steiner Tree"- in Proceedings of IEEE ANTS Nov 2016. 
  • Meera G Sujatha, Kavitha Karun A - Enhancing the Lifetime and Improving the Security of Smart Mines - in Proceedings of National Conference on Network
    Security (NCNS) 2014, Kerala, India. 
  • Meera G Sujatha, Priya Sekhar S - A Survey on Routing Protocols for mobile sink based WSN - International Research Journal of Engineering and Technology
    (IRJET), Volume 3, Issue - 01, Jan 2016. Meera G Sujatha, Priya Sekhar S, Shivam Patel - An Efficient Routing Protocol for Multiple Static Sources and Multiple Mobile Sinks in WSN - National Conference on Emerging Trends in Engineering and Technology (NCETET) 2016, Kerala , India.
  • S V Nair, Shivam Verma, Rohit P, Meera G Sujatha - A smartphone based indoor navigation system -in Proceedings of IEEE ICM-2016.

  • Received Summer Doctoral Fellowship Award - 2024 Summer Term from the School of Graduate Studies, UND. Received a fellowship award amount of $$7,500.00$ 
  • Best paper award for IEEE World AI IoT Congress 2024 - for the paper Title Classification of Microcystins Based on Temperature Data in North Dakota Lakes
  • Best paper award in International Conference on Recent Trends in Electronics and Communication -2023 for the paper titled Multi-variate Factors Assessment of Harmful Algal Blooms (HABs) 
  • Best paper award for IEEE World AI IoT Congress 2023 - for the paper Title Classification of Microcystin Toxicity based on Nutrient Conditions using Multiple Machine Learning Models 
  • Received Second Position in participating in the Best Teacher Contest held by IEEE Student branch of LMCST in the year Nov 2015 
  • Received Accenture Excellence Award for FY10 Quarter 4 in the yearJune 2011

PhD - School of Electrical Engineering & Computer Science department (SEECS), UND -May 2025

Dissertation Title: An Explainable AI Framework for the Detection of Harmful Algal Blooms (HABs) in Freshwater Lakes

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