Zahidur Rahman

Contact Us

Room: M-Building, M-204
Phone: (718) 482-5940
naturalsci@lagcc.cuny.edu

Monday- Thursday 9 a.m.- 5 p.m.

Education

Ph.D. in Electrical Engineering, CUNY Graduate Center
P.E. in Electrical and Electronic Engineering, Board of Professional Engineers, New York and Michigan, USA
M.E. in Electrical Engineering, City College of New York
B.E. in Electrical Engineering, Bangladesh University of Engineering and Technology

Areas of Expertise or Research

Environmental satellite remote sensing applications
Vegetation health and its application for vector borne diseases such as malaria, dengue, and agriculture
Error correction of satellite data
Solar and wind energy

About

Zahidur Rahman received his bachelor in electrical engineering from Bangladesh University of Engineering and Technology, and his master’s and doctoral degrees from CUNY institutions His major field of study lies in the error correction of NOAA/GOES environmental satellite data due to orbital drift, sensor deterioration and/or synchronization satellite remote sensing, and application of NOAA environmental satellite data such as climate and weather impact on ecosystems and vector borne diseases such as malaria and dengue.

Currently, he is a Professor in the Mathematics, Engineering and Computer Science Department at LaGuardia. He is also a registered professional engineer in the states of New York and Michigan. He has received a NASA research grant and PSC-CUNY research grant. Dr. Rahman is an active member of the Institute of Electrical and Electronics Engineers, and the Society of Photo-Optical Instrumentation Engineers.

Read More

He has published more than 29 papers in refereed journals and conference proceedings. Below is a selection of his published work:

Rahman, L. Roytman, et al., “Public health precautions for preventing malaria using environmental data”, Smart Biomedical and Physiological Sensor Technology XXII, Proc. SPIE. 13481,(2025)
Zahidur Rahman, Leonid Roytman, Abdelhamid Kadik, Dilara A. Rosy, Pradipta Nandi, “ Harnessing data and satellites for early malaria warning: a global health imperative,” Proceedings Volume 13059, Smart Biomedical and Physiological Sensor Technology XXI;130590D (2024)
Zahidur Rahman, Leonid Roytman, Abdelhamid Kadik, Dilara A. Rosy, Pradipta Nandi, Shahedur Rahman, Ataul Mahmud, “Public health precautions for preventing malaria using environmental data”, Proceedings Volume 11733, Geospatial Informatics XI;117330N (2021)
Z Rahman, Leonid Roytman, Dilara A Rosy and Pradipta Nandi, “Early Prediction in Malaria Using Satellite Remote Sensing”, International Journal of Engineering Research and Applications, Vol. 11, Issue 1, pp:05-11 (2021)
Rahman, Leonid Roytman, Abdelhamid Kadik, Dilara A. Rosy, Pradipta Nandi, Mohammed Shofiullah Shibli “Dengue early warning systems using environmental remote sensing data”, Proceedings of SPIE (International Society for Optical Engineering), Vol. 11424, ID. 11424OD , 9pp, (2020).
Rahman, Leonid Roytman, Abdelhamid Kadik, Dilara A. Rosy “Enhancing remotely sensed BT data for environmental analysis”, Proceedings of SPIE ((International Society for Optical Engineering), Vol. 11007, ID. 11007OT, 10pp, (2019).
Z Rahman, Leonid Roytman, and Abdelhamid Kadik, , “Improving AVHRR-based NDVI data using a statistical technique for global climate studies”, Proceedings of SPIE ((International Society for Optical Engineering), 10642, ID. 106420V, 9pp, (2018).
Md Z Rahman , Leonid Roytman, and Abdelhamid Kadik, “Application Of AVHRR-Based On The Vegetation Health Indices For Malaria Vector Detection”, International Journal of Remote Sensing & Geoscience (IJRSG), Volume 4, Issue 2 (2015), pp:21-27.
Md Z. Rahman , Jonathan Anspike (LYCEE) “Solar and Conservative Energy”, International Journal of Engineering Research and Development (IJERD), Vol. 11, Issue 03, (March 2015), PP.63-65.
Md Z. Rahman, College Now Students- Sujoy Bhowmik, Luis Ramirez, Kerri Cripps, Udayan Puthenkalam, Konstandinos Gobakis, Qiulin Wang, Yuhong Lin and Xiaoping Wang, “ Application of Solar and Wind Energy”, International Journal of Innovative Science, Engineering & Technology (IJISET), Vol. 2, Issue 1, (2015), pp: 260-262.
Md Z. Rahman and Abdel Hamid Kadik, “Fostering Basic Mathematical Learning through Contemporary Public Issues” 2015 Maui International Business & Education Conferences Proceedings, The Clute Institute, ISSN Number: 1539-8757 (print); 2157-9660 (online), (January, 2015), Paper No. 506, pp:1-1.
Z. Rahman, Leonid Roytman, and M. Nazrul Islam, “Reduction of the Long-Term Inaccuracy from the AVHRR–Based NDVI Data”, Journal of Communications Vol. 9, No. 11, ( 2014), pp:821-828.
Md Rahman, Lily Lee (LYCEE), Christian Costa (LYCEE), and Abdellah Aitelmouden , “Rotary Parking Tower with an Electrical Station” International Journal of Innovative Science, Engineering & Technology (IJISET), Vol. 1, Issue 9, (2014), pp: 141-144.
Md Z. Rahman, “Enhancing Steadiness of NDVI Data from NOAA Satellites” International Journal of Remote Sensing and Geosciences (IJRSG) , Vol.3, Issue 5, (2014), pp. 9-17.
Md Z. Rahman, “Teaching Electrical Circuits Using a Virtual Lab” Journal of College Teaching and Learning, The Clute Institute, Vol.11, No. 4 (2014), pp: 163-168.
Md Z. Rahman, Abdel Hamid Kadik, and Leonid Roytman “Environmental Data Analysis and Remote Sensing for Early Detection of Dengue and Malaria’, Proceedings of the SPIE (International Society for Optical Engineering), Vol. 9112, ID. 91121C9 (2014)
Md Z. Rahman, and Abdel Hamid Kadik “Satellite Remote Sensing and its applications”, “LIGHT”, AABEA Technical Newsletter, pp:3-4, May 2014, American Association of Bangladeshi Engineers and Architects (AABEA), Inc. New York, USA
Md Z. Rahman, “Teaching an Electrical Circuit Using a Virtual Lab”, In Transit”, The LaGuardia Journal on Teaching and Learning, Vol. 6, Spring 2014, pp: 85-92.
Md Z. Rahman, “Teaching an Electrical Circuits Course Using a Virtual Lab”, 2014 Clute Institute International Academic Conference Proceedings, ISSN Number: 1539-8757 (print); 2157-9660 (online), (February, 2014), Article 172, pp: 76-84.
Md Z. Rahman, Abdel Hamid Kadik, and Leonid Roytman “Refining Environmental Satellite Data Using A Statistical Approach”, Proceedings of the SPIE , 8723, ID. 8723F, 9 pp ( 2013)
Md Z. Rahman, Abdel Hamid Kadik, and Leonid Roytman , “Cost Effective Malaria Risk Control Using Remote Sensing and Environmental Data” Proceedings of the SPIE, Vol. No. 8371, ID 8371I 9 pp (2012).
Md Z. Rahman, Abdel Hamid Kadik, and Leonid Roytman, “A Statistical Method to Correct Radiometric Data Measured by AVHRR Onboard the National Oceanic and Atmospheric Administration (NOAA) Polar Orbiting Environmental Satellites (POES)”. Proceedings of the SPIE , Vol. 8029, ID. 80291F 10 pp (2011)
Md Z. Rahman and Hassebo,“ Asthma Early Warning System in New York City using Remote Sensing Approach”, Proc. of the third International Conference on Modern Trends in Physics Research, June 2011
Md Z Rahman, “Malaria Early Warning and Monitoring System/Health Component: Namibia Flood Sensor Web Response Vector Borne Disease System Pilot Project”, RF CUNY 2010 Annual Report,(2011) New York
Md Z. Rahman, Leonid Roytman, and Runa Jesmin, “An Application Of Statistical Technique To Correct Satellite Data Due To Orbit Degradation”, Proceedings of the SPIE, Vol. 7831, ID. 78310Z 12 pp (2010)
Md Z Rahman, and Leonid Roytman, The Most Effective Statistical Approach To Correct Environmental Satellite Data”, Proceedings of the SPIE, Vol. 7478, ID.7478-I 9 pp, (2009).
Md Z. Rahman, Leonid Roytman, Felix Kogan, Atiq Rahman, and Runa Jasmine “Removing Long-Term Errors From AVHRR-Based On NDVI,” Proceedings of the SPIE , Vol. 7110, ID. 7110 pp 57-68, ( 2008)
Md Z. Rahman, Leonid Roytman, and Felix Kogan, “Removing Long-Term Errors From AVHRR-Based Brightness Temperature (BT),” Proceedings of the SPIE, 6749, ID. 6749 11 pp ( 2008)
Md Z. Rahman, and Leonid Roytman, “Improving Stability of NDVI Data For NOAA Environmental Satellite” Proc. Of the SPIE 6412, Vol. 6412, ID. 641217, (2006)