Tarendra Lakhankar, PhD, PE
NOAA Center for Earth System Sciences and Remote Sensing Technologies (CESSRST)
The City College of the City University of New York 
ST-185, Steinman Hall, 160 Convent Ave, New York, NY 10031
Email: tlakhankar (at) ccny.cuny.edu
Office: 212-650-5815  Fax: 212 650 8097

Dr. Lakhankar working as a Research Scientist at the NOAA CESSRST Center at The City University of New York. Dr. Tarendra Lakhankar obtained his Doctoral Degree from the City University of New York (CUNY).  He worked as NOAA-Post-doctoral scientist at The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University from 2006-2008. From 2008, Dr. Tarendra Lakhankar received Bachelor of Engineering (BE) in Civil-Water Management from SGGSIE&T, Nanded and M.Tech. in Environmental Engineering from VNIT, Nagpur.

Dr. Lakhankar’s research experience includes use of advanced mathematical and statistical methods (neural network, fuzzy logic, and machine learning) for data processing, mining and web communications from environmental satellite remote sensing and meteorological datasets and field observations. He designed and execute an operational remote sensing based field campaigns for snow and soil moisture for calibration and validation to support NOAA and NASA’s satellite missions to enhance forecast algorithm used for climate and hydrological applications. The objectives of these projects to develop satellite based system for monitoring impact on sustainable environmental development through soil moisture, snow, vegetation and precipitation. Dr. Lakhankar worked on several research projects including: satellite based flash flood warning system, snow characterization and product development, urban hydro-meteorological testbed, and climate adaptation strategies for human and livestock population.  Dr Lakhankar is principal investigator of several remote-sensing based field campaigns for snow and soil moisture including: CREST-SAFE, CREST-SMART, and NY-uHMT.  He also CO-PI on projects funded by US-AID on developing climate adaptation strategies for human, livestock and preserving biodiversity.  Dr. Lakhankar took lead and coordinated and organized international and national level conference and meetings related to Climate and Remote Sensing.

Dr. Lakhankar is an active member of multiple international professional organizations and have also been selected as chair and co-chair in International Conferences. He is actively involved in reviewing proposals (NSF, NASA, NSERC, etc.) and served as Guest Editor for international journals and reviewed manuscripts several journals including: (1) African Journal of Agricultural Research, (2) African Journal of Business Management, (3) Computers and Geosciences, (4) IEEE Transaction on Geosciences and Remote Sensing, (5) International Journal of Digital Earth, (6) International Journal of Remote Sensing, (7) International Journal of Water, (8) Hydrology and Earth System Sciences (HESS), (9) Journal of Applied Geography, (10) Journal of Geophysical Research – Atmospheric, (11) Journal of the American Water Resources Association, (12) Journal of Flood Engineering, (13) Journal of Mountain Science, (14) Remote Sensing (MDPI), (15) Scientia Agricola, (16) Scientific Research and Essays, (17) Vadose Zone, (18) World Review of Science, Technology and Sustainable Development journal (WRSTSD), and (19) Water Resources Research (AGU).

Dr. Lakhankar's teaching interests are in the areas of core of civil engineering, water resources and environmental engineering, including: remote sensing and Geographical Information System (GIS) applications for hydrology, agriculture, and water resources.  He believes that integrating Remote Sensing and GIS concepts into civil engineering education is very important not only to meet the urgent needs of GIS professionals in engineering, but also to teach students relevant skills in spatial analysis, reasoning, and data processing.  He also interested in teaching courses in advanced computational and statistical applications which will enable graduating students to easily transition to the workplace.