Identification of climate change hotspots in Sindh using deep learning techniques

This project analyzes 50 years of climate data from Sindh, Pakistan, using deep learning to detect trends, anomalies, and climate change hotspots. By examining parameters such as temperature, precipitation, humidity, and flood occurrences, it aims to support targeted adaptation strategies and informed policymaking for the region’s most vulnerable areas.

Principal Investigator:

• Dr. Ram Chand, Chairperson, The Begum Nusrat Bhutto Women University, Sukkur

Co-Principal Investigators (Co-PIs):

1. Prof. Saeeddudin, Rector, Hyderabad Institute of Technology and Management Sciences
2. Dr. Imtiaz Brohi, Chairperson, Government College University, Hyderabad
3. Dr. Saifullah Bullo, Chairperson, The Begum Nusrat Bhutto Women University, Sukkur
4. Dr. Noor A. Brohi, Chairperson, The Begum Nusrat Bhutto Women University, Sukkur

Research Associate:
• Miss Hajira Rajput, a final-year BS Mathematics student at The Begum Nusrat Bhutto Women University, Sukkur