NISAR AHAMED GIS and Remote Sensing, BIM, IoT
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"Highlighting Qualifications and Teaching Style:"

I bring a unique combination of academic knowledge and real-world experience in GIS, remote sensing, and IoT to the classroom.
My expertise lies in applying these technologies to develop smart sustainable cities, manage land use with machine learning, implement integrated water management systems, conduct drone surveys, and create sustainable utility infrastructure.
I have extensive experience bridging the gap between academia and industry, allowing students to gain exposure to cutting-edge field technologies.
"Enthusiastic and Engaging Learning Environment":

I am passionate about lifelong learning and believe in the motto "Tomorrow's innovation starts today."
I integrate technology seamlessly into my curriculum, making learning more meaningful and engaging for students.
I foster an active learning environment that is lively and interactive.
"Student-Centered Teaching Approach:"

I acknowledge my limitations and continuously strive to improve my teaching skills.
My teaching philosophy revolves around student-centered learning, not just lectures.
I present complex theories, concepts, and real-world data in a way that students can readily understand and apply to their own experiences.
I view my role as a guide who helps students leverage their existing knowledge, refine their skills, and prepare them to contribute effectively in professional settings.
"Innovative and Practical Learning:"

My teaching methods incorporate innovative technologies, processes, and approaches specific to GIS, remote sensing, and IoT.
I create a blend of academic rigor and real-world industry exposure through relevant case studies, collaborative activities, practical illustrations, and live demonstrations.

Subjects

  • IoT Intermediate-Expert

  • Remote Sensing and GIS Expert

  • Water Resources Management Expert

  • Geographic Information Systems(GIS) Masters/Postgraduate-Doctorate/PhD


Experience

No experience mentioned.

Education

  • Ph.D (Jun, 1995Aug, 1999) from IIT Bombay, Powai

Fee details

    1,5002,000/hour (US$17.6923.58/hour)


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