

Research Interests/SpecializationComputer Vision, Artificial Intelligence, Robotics
Date of Joining CSIR : 2016-09-21
Date of Joining Present Post : 2022-09-21
Date of Retirement : 2047-07-31
Work Domain Scientific
Area of WorkUnderwater Robotics, Marine Instrumentation, Oceanographic Sensors
No of student(s) trained through Internship/Project Work/Dissertation :30
Ongoing | Completed |
1 | 0 |
Publications
- Ansari S, Reddy N, Desai D V. Unsupervised Learning Approaches for Zooplankton Classification: Recent Trends and Advances. IEEE International Symposium on Ocean Technology (IEEE SYMPOL), pp. 37-45, Kochi, India, 2024.
- Ansari S, Desai D V, Saad A, Stahl A. Implications of Single-Stage Deep Learning Networks in Real-Time Zooplankton Identification. In: Current Science, Vol. 125, No. 11, 1259-1266, 2023.
- Usgaonkar S, Palkar S, Sadaf Ansari. WQ-Net: A Deep Neural Network Model for Water Quality Prediction. IEEE OCEANS 2022, Chennai, India. doi:10.1109/OCEANSChennai45887.2022.9775235, 2022.
- Naik V, Ansari S. Underwater Acoustic Image Processing for Detection of Marine Debris. Springer International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering, Vol. 836, Springer, Singapore. doi:10.1007/978-981-16-8542-2_44, 2022.
- Dias K, Ansari S, Amonkar A. Marine Trash Detection Using Deep Learning Models. In Book: Computing and Communications Engineering in Real-Time Application Development, Apple Academic Press, New York. doi:10.1201/9781003277217, 2022.
- Mascarenhas A, Dabholkar N, Narvekar J, Prabhudesai S, Ghatkar S, Sadaf Ansari, Maurya P, et al. Technology Demonstration of a Novel Seabed Resident Event-driven Profiling System [SREP]. In: Current Science, Vol. 120, No. 4, 622-627. doi:10.18520/cs/v120/i4/622-627, 2021.
- Ansari S, Saad A, Stahl A, Madhan R. Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. AGU Ocean Sciences Meeting, San Diego, California, US. ESS Open Archive. doi:10.1002/essoar.10502404.1, 2020.
- Ansari S. A Review on SIFT and SURF for Underwater Image Feature Detection and Matching. IEEE International Conference on Electrical, Computer and Communication Technologies, Coimbatore, India. doi:10.1109/ICECCT.2019.8869489, 2019.
- Mascarenhas A, Maurya P, Dabholkar N, Desa E, Fernando V, Prabhudesai S, Nagvekar S, Navelkar G, Afzulpurkar S, Lokapure A, Ansari S, et al. Seabed Resident Event-driven Profiling [SRE]) System for Monsoon Studies. In: The Indian Ocean Bubble 2, Issue No 8, 2018.
Projects
- AquaAI: Development of AI Tools for Fast and Accurate Qualitative and Quantitative Enumeration of Zooplankton from different Aquatic Habitats
Role: Principal Investigator (PI)
Duration: 2022-2025 - CBOT: Coral Reef Monitoring and Surveillance Robot
Role: Team Member (Imaging System Development: Hardware & Software)
Duration: 2019-2020 - SREP: Seabed Resident Event-driven Profiling System
Role: Team Member (Data Analysis & Data Visualisation)
Duration: 2012-2017
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Reviewer for Journals
- ICES Journal of Marine Science (ICES JMS), Oxford University Press, UK.
- Journal of the Marine Biological Association of India (JMBAI), India.
Invited Panelist
Panel Discussion on Artificial Intelligence in Marine Ecosystem, National Conference on Blue Economy - Navigating Marine Ecosystem Value Chain, Bhubaneswar, Odisha, India, February 2024.