•Fishery biology and marine ecology

•Spatial ecological analysis, modelling and MSP

•Fishery stock assessment, management and policy

 

 

I started working at ICAR-Central Marine Fisheries Research Institute in 2016 and am now based at the Veraval Regional Station, Gujarat. My Ph.D. in Fisheries Resource Management from ICAR-Central Institute of Fisheries Education in Mumbai, where my thesis focused on the application of remote sensing and GIS for managing the ribbonfish fishery along the north-west coast of India. My expertise is in studying fish distribution patterns using geospatial and remote sensing technologies for fisheries management. I conduct fieldwork and collect fishery data, particularly species length and biology, to better understand the structure of the food web, spawning season, fishery bycatch and stock status, as well as how it varies over time and space.

Ph.D., ICAR-Central Institute of Fisheries Education (Deemed University), Mumbai,India-2021

M.F.Sc., College of Fisheries, Junagadh Agricultural University, Junagadh, India-2014

B.F.Sc., College of Fisheries, Karnataka Veterinary, Animal and Fisheries Sciences University, Mangalore, India-2012

 

Resource assessment and management framework for sustaining marine fisheries of Gujarat (DEM/RMS/09)-ICAR-CMFRI 

National fishery management framework for large pelagic resources (PEL/LPR/04)-ICAR-CMFRI 

Resource assessment and management framework for sustainable marine fisheries of Lakshadweep (PEL/LAK/06)-ICAR-CMFRI 

Artificial Fish Habitat Based Marine Ecosystem Restoration in the Inshore Areas off Bhadreswar, Kutch District, Gujarat-Dept. of Fisheries, Gujarat 

Marine Mammal Stock Assessment in India-Dept. of Fisheries, GOI

Algal Bloom estimation and associated bio-optical properties in the Indian Ocean region using OCM-3 and sea-truth measurements-SAC-ISRO

Awards & Recognitions :

•Best Conference Poster Award, ICES/FAO Symposium on Innovation in Fishing Technology for Sustainable and Resilient Fisheries, Kochi, India-2023.

•Young Scientist Award, Asian Fisheries Society-India Branch-2022.

•Best Conference Paper Award, Societal Applications in Fisheries and Aquaculture using Remote Sensing Imagery, The Second International Symposium, Kochi, India-2018.

•State Merit Award for PG students, Department of Education, U.T. of Lakshadweep-2015.

Best 5 Publications :

1.Azeez, P. A., Rohit, P., Raman, M., Shenoy, L., Jaiswar, A. K., Koya, M. K, Mojjada, S. K., Divu, D. and Gopalakrishnan, A. (2023). Exploring biophysical links of catch rate from mid-water trawl fishery in the north-west coast of India, Eastern Arabian Sea: A remote sensing approach. Science of the Total Environment, 886: 1-14. 10.1016/j.scitotenv.2023.163975. 

2.Azeez, P. A., Rohit, P., Koya, M. K, Shenoy, L., Jaiswar, A. K., Raman, M., Rahangdale, S., and Divu, D. (2023). Bycatch species distribution from mid-water trawlers in the north-eastern Arabian sea: a step towards the implementation of marine spatial planning. Journal of Maps. pp. 1-13. 10.1080/17445647.2023.2192371. 

3.Jeena, N. S., Rahuman, S., Roul, S. K., Azeez, P. A., Vinothkumar, R., Manas, H. M., Nesnas, E. A., Margaret, M. R. A., Surya, S., Rohit, P., Abdussamad, E. M. and Gopalakrishnan, A. (2022). Resolved and Redeemed: A New Fleck to the Evolutionary Divergence in the Genus Scomberomorus Lacepède, 1801 (Scombridae) With Cryptic Speciation. Frontiers in Marine Science, 9:888463. 10.3389/fmars.2022.888463.

4.Azeez, P. A., Raman, M., Rohit, P., Shenoy, L., Jaiswar, A. K., Koya, M. K. and Divu, D. (2021). Predicting potential fishing grounds of ribbonfish (Trichiurus lepturus) in the north-eastern Arabian Sea, using remote sensing data. International Journal of Remote Sensing, 42 (1): 322-342. 10.1080/01431161.2020.1809025.

5.Divu, D., Mojjada, S. K., Azeez, P. A., Sukhadane, K. S., Muktha, M., Mojjada, R. K., Tade, M. S., Bhint, H. M. and Gopalakrishnan, A. (2021). Decision-making framework for identifying best suitable mariculture sites along north east coast of Arabian Sea, India: A preliminary GISMCE based modelling approach. Journal of Cleaner Production, 284: 1-17. 10.1016/j.jclepro.2020.124760.