NIDA MOHAMMADI

NIDA MOHAMMADI

Assistant Professor

M.tech

nidamohammadi.mel@bmsce.ac.in

Research Interests: Artificial Intelligence, Cognitive Computing, Multi-Agent Systems, Human-Centered AI, Cognitive Bias - Egocentric Bias, Collective Decision-Making.

About

I hold master's in computer engineering, my research interests are cognitive bias, artificial intelligence, multi agent systems. I am particularly interested in the interaction, adaptation and decision making of intelligent agents in dynamic environments. I aim to contribute to the development of intelligent systems that can effectively collaborate and solve complex real-world problems. In addition to my teaching responsibilities, I am preparing to pursue Doctoral research and am dedicated to contributing to academic scholarship and student development. I truly believe in creating an engaging learning environment which encourages critical thinking, curiosity and life-long learning.

Education

  • Master's in Technology - Computer Engineering
    P.E.S College of Engineering
    Passed Year: 2018 | Program Type: FullTime

Selected Publications

  • Journal | Published On : 05-05-2018
    Nida Mohammadi, Dr M.C Padma
    The proposed system is the Automated Traffic Control System for Ambulance which deals with traffic congestion during high-density traffic at the specific time. Traffic density can be identified by Vehicle Counter placed at a certain default position on the lane. Here we are considering the main scenario at a time when the traffic congestion is less, the green signal activates for less number of time. As the traffic congestion increases green signal activates until it matches the default number. If there are no vehicles on the lane, then that particular lane signal is skipped. This framework additionally controls the movement of traffic congestion by enabling an ambulance to arrive at a specific area without having it to stop anyplace until the hospital is reached. This system includes RF transmitter and RF receiver. A unique RF transmitter which is present on ambulance transmits signals. The RF receiver placed few meters away from traffic signal receives signals and hence the ambulance on road is detected. Our system show result under light medium & heavy traffic. The designed system has a simple architecture, fast response time, ease of understanding the working module, user-friendliness and scope for further expansion.
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