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Wardah Asad

Lab Engineer 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. Wardah Asad is serving as a Lab Instructor in the Department of Artificial Intelligence at Sir Syed CASE Institute of Technology. She holds a Bachelor’s degree in Computer Science from Air University, Aerospace and Aviation Campus, Kamra, and is currently pursuing an MS in Data Science from Air University, Islamabad. Alongside her academic role, she brings professional experience as an AI/ML Engineer at Aangan (NICAT), where she has developed intelligent health-tech solutions, RAG-based chatbots, and deployed large-scale AI pipelines. She has also worked as an AI & Data Science Trainer at Skills Share Hub, conducting hands-on labs and mentoring students in applied AI. Her areas of expertise include Generative AI, Machine Learning, Computer Vision and backend API deployment. She has built practical solutions such as a real-time Sign Language Recognition and Translation system, RAG-powered chatbots and predictive modeling applications.
Degree
Specialization
University
Year
MS
Data Science
Air University, Islamabad
Continue
BS
Computer Science
Air University, Kamra Campus
2025
Designation
Company
From
To
Lab Instructor
Sir Syed CASE Institute of Technology
Sep 2025
Present
AI/ML Engineer
Aangan, NICAT
June 2025
Sep 2025
AI & Data Science Trainer
Skills Share Hub
Jan 2025
May 2025
Web Support Developer
Skylarks IT Solution PVT. LTD.
Nov 2024
Mar 2025
Data Science Intern
Pakistan Aeronautical Complex, Kamra
Jul 2023
Aug 2023
Title
Description
Human–Object Interaction in Computer Vision
I am particularly interested in understanding and modeling Human–Object Interaction (HOI) within visual data, with a focus on egocentric datasets such as Ego4D recently released by Meta. My research explores how humans perceive, manipulate, and interact with objects in real-world settings, aiming to develop computer vision models that can support intelligent assistance systems, robotics and augmented reality applications.
Multimodal Learning for Assistive Technologies
Explores the integration of vision, language, and speech modalities to create inclusive AI solutions. Research in this domain extends to projects like real-time sign language recognition and translation systems, aiming to bridge accessibility gaps in healthcare, education and human–computer interaction.
Year
Awarding Organization
Description
2025
DataCrumbs
Data Science & Machine Learning Specialization
2025
Udemy
Master Data Science Skills
2023
DevTown
Python and Artificial Intelligence Boot camp
Title
Organization
From
To
N/A
N/A
N/A
N/A

Courses Taught

  • Artificial Intelligence
  • Programming for AI
  • Computer Networks
  • Data Science

Key Publications (Journals & Books)

N/A

Key Publications (Conferences & Workshops)

N/A
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