Dr. Sanjiba Kumar BALIARSINGH
Scientist
Applied Research and Research to Operations (ARO) Division I Ocean Modeling, Applied Research & Services (OMARS) Group
Ocean Valley, Pragathi Nagar , Nizampet
Hyderabad 500 090
Telangana
India
Applied Marine Ecological Research: Conduct research on planktonic ecosystems, coastal water quality, and algal blooms; support the development of INCOIS’ operational services, including algal bloom alerts, small pelagic fishery advisories, and jellyfish aggregation alerts.
Scientific Planning and Field Operations: Plan scientific studies, design experiments, execute field campaigns, conduct onboard experiments, and manage in situ data systems.
Management of the Water Quality Nowcasting System: Manage observatory performance, define data quality control criteria, monitor for environmental anomalies, and analyze data to study coastal biogeochemistry and support automated water quality nowcasting.
Capacity Building: Conduct lectures, workshops, and hands-on training sessions focused on plankton ecology, marine biogeochemistry, and ocean colour remote sensing; support skill development for students, researchers, and professionals in marine science.
International Engagement: Actively involved with the IOC Intergovernmental Panel on Harmful Algal Blooms (IPHAB), contributing to global initiatives on monitoring, research, and management of harmful algal blooms.
Bay of Bengal
Indian Ocean
I have gained comprehensive experience in investigating
estuarine, coastal, and open ocean planktonic ecosystems through active
participation in multiple research programmes. My core areas of expertise
include:
--phytoplankton taxonomy and pigment-based chemotaxonomy
--laboratory analysis of biogeochemical and bio-optical
parameters
--processing and interpretation of ocean colour remote
sensing data
--conceptualization, strategic planning, and execution of
field surveys and research expeditions
--identification and evaluation of environmental drivers
regulating plankton dynamics
--assessment of conducive conditions and ecological
implications of algal bloom events
--identification of optical proxies for remote sensing-based
detection of bloom-forming, species-specific phytoplankton