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Ms. Laiba Tanveer

Laiba Tanveer

Lecturer at Sir Syed CASE Institute of Technology. This profile contains relevant information about the faculty member. For any queries or further information, please feel free to reach out using the contact details provided above. The department is committed to supporting students and visitors with their questions and academic needs.

Ms. Laiba Tanveer is serving as a Lecturer in the Department of Computer Science at Sir Syed CASE Institute of Technology. She earned her MS in Electrical Engineering from COMSATS University Islamabad, Wah Campus, and is currently pursuing a PhD in Electrical Engineering with a specialization in Artificial Intelligence at COMSATS. Her research interests include Artificial Intelligence, UAV detection, deep learning, and image preprocessing
Degree
Specialization
University
Year
PHD EE
Artificial Intelligence
COMSATS, Wah
Continue
MS EE
Artificial Intelligence
COMSATS, Wah
2025
BS EE
Electronics
COMSATS, Wah
2021
Designation
Company
From
To
Research Assistant
Lecturer
2025
Present
Lecturer
Research Assistant
2023
2025
Lab Engineer
Lab Engineer
2022
2025
Title
Description
Artificial Intelligence (AI)
Designing intelligent systems for decision-making, automation, and real-world problem-solving.
Machine Learning (ML)
Developing algorithms that enable systems to learn from data and improve performance over time.
Deep Learning
Applying neural networks to tasks such as pattern recognition, image analysis, and natural language processing.
UAV Detection
Exploring AI-driven techniques for identifying and tracking unmanned aerial vehicles.
Image Preprocessing
Enhancing image quality and preparing data for computer vision and deep learning applications.
Year
Awarding Organization
Description
2022
COMSATS Unviversity Islamabad ,wah campus
Best FYP of year
2021
COMSATS Unviversity Islamabad ,wah campus
See Pakistan
Title
Organization
From
To
N/A
N/A
N/A
N/A

Courses Taught

  • Computer Organization and Assembly Language Lab
  • Digital Communication
  • Electric circuit design
  • Electric machine
  • Communication System
  • Linear Control System
  • Embedded System
  • Industrial Electronics
  • Machine Learning
  • Data Structure
  • Object oriented Programing

Key Publications (Journals & Books)

Misbah, Maham, et al. "TF-BiFPN Improves YOLOv5: Enhancing Small-Scale Multi-Class Drone Detection in Dark." IEEE Transactions on Aerospace and Electronic Systems (2024).
Khan, Ajmal. "From Lab to Field Trials: Real-Time Multi-Model Drone Detection in Low SNR Environments." IEEE Aerospace and Electronic Systems Magazine (2024).

Key Publications (Conferences & Workshops)

Tanveer, Laiba, et al. "Optimizing RF-Sensing for Drone Detection: The Synergy of Ensemble Learning and Sensor Fusion." 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). IEEE, 2024.
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