• Publication Topics:
• Machine Learning (Deep Neural Network, Convolutional Neural Network),
• Artificial Intelligence,
• Indoor Flying Networks (IFNs),
• Unmanned Aerial Vehicle (UAV),
• Optical wireless communication,
• Visible Light Communication (VLC),
• LiFi, Color Shift Keying (CSK),
• Optical OFDM,
• Optimization,
• Optical Energy Harvesting,
• Resource Allocation

Dil Nashin Anwar (Member, IEEE) received her B.Tech. (2013) and M.Tech. (2015) degrees in Electronics and Communication Engineering from Aligarh Muslim University, Aligarh. She earned her Ph.D. in 2023 as a Visvesvaraya Ph.D. Fellow, supported by DeitY, Government of India, from IIIT-Delhi.
She has worked on EEG signal classification, developing an app-integrated classification system as a Research Assistant. Additionally, she gained international research exposure as a Research Fellow on the FlyServ project, a collaboration between the University at Albany, USA, and Al Ain University, UAE.
Dr. Anwar has published in high-impact IEEE journals, focusing on green communication for resource-constrained IoT and UAV systems using light as a communication medium. Her research spans LiFi-based coexistence, resource allocation, and energy autonomy in light-enabled IoT devices.
Recently, she has integrated machine learning into indoor flying networks, enhancing AI-driven communication, monitoring, and energy optimization. She developed an end-to-end learning framework for UniPHY systems, leveraging CNNs and DNNs for seamless LiFi-WiFi hybrid networks (HLW-IFNs) and optimizing their monitoring coverage in dynamic mobility scenarios.