AMU’s Residential Coaching Academy to Felicitate UPSC 2025 Achievers

 AMU’s Residential Coaching Academy to Felicitate UPSC 2025 Achievers

ALIGARH, April 30: The Residential Coaching Academy (RCA), Aligarh Muslim University, will organise a felicitation programme on May 2 at 11:30 AM to honour distinguished achievers in various civil and allied services.

The programme seeks to celebrate excellence and motivate the student community by facilitating interaction with successful candidates who have excelled in one of the country’s most competitive examinations.

Among those to be felicitated are All India Rank holders of the UPSC Civil Services Examination 2025, including Ms Ifra Shams Ansari (AIR 24), Mr Hassan Khan (AIR 95), Ms Gulfiza (AIR 535), Ms Nazia Parveen (AIR 478), and Mr Azeem Ahmad (AIR 588), along with several other outstanding achievers.

The achievers will also participate in an interactive session, where they will share their preparation strategies, experiences, and insights with aspirants, offering valuable guidance to those aiming for success in civil services.

 

AMU Professor, Research Scholar Granted Design Patent for AI-Based Wildlife Monitoring System

 

AMU Professor, Research Scholar Granted Design Patent for AI-Based Wildlife Monitoring System

ALIGARH, April 26: A Professor and a research scholar from the Department of Wildlife Sciences, Aligarh Muslim University (AMU), have been granted a Design Patent by the Government of India for an innovative “Wildlife Sentinel Intrusion Detection System.”

The system has been developed by Prof. Orus Ilyas and research scholar Shahzada Iqbal, in collaboration with Anwer Hussain Azad.

Elaborating on the design patent, Prof Ilyas clarified that the patented innovation is an AI-enabled, solar-powered surveillance platform designed to address the growing challenge of human–wildlife conflict, particularly in forest fringe areas and agricultural landscapes. It integrates advanced technologies such as motion sensors, high-resolution optical cameras, infrared and thermal imaging, along with intelligent algorithms capable of identifying species, estimating herd size, and tracking movement patterns in real time.

She added that upon detection, the system autonomously captures and processes data, transmitting instant alerts and visual information to monitoring stations. This enables forest departments and local authorities to take timely and informed action, thereby reducing dependence on manual patrolling and minimising delays in response.