Ms. Beenish Khalid | Deep Learning | Best Researcher Award
National University of Sciences and Technology , Islamabad, Sweden
Profiles
Summary
Ms. Beenish Khalid is a seasoned Research Software Engineer with a Ph.D. in Computer Engineering and over 10 years of experience in developing advanced software solutions. At Hecta Solutions, she has spearheaded projects in AI, machine learning, and web development, bringing cutting-edge innovations to life. With deep proficiency in numerous programming languages, database systems, and tools, she is passionate about technological advancement and collaborative innovation.
Education
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Ph.D. in Computer Engineering – NUST, Islamabad (2025)
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MS in Computer Engineering – UET Taxila (2018)
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B.Sc. in Computer Engineering – UET Taxila (2015)
Professional Experience
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Research Software Engineer – Hecta Solutions (2022–2024)
Developed AI/ML-based BCI systems using React, Django, and TensorFlow. -
Junior Research Officer – Air Headquarters (2018–2021)
Focused on cryptography, secure architectures, and defense-grade applications. -
Freelance Developer – Freelancer Site (2018)
Delivered high-performance software using Assembly, C++, Python, and MATLAB. -
Software Developer (Intern) – National Development Center (2014)
Built robust Android applications in Java using Eclipse IDE.
Research Interests
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Brain-Computer Interface (BCI) systems
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Artificial Intelligence & Deep Learning
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Cybersecurity and Secure Systems
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Signal Processing and EEG Compression
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Web Technologies and UI/UX Design
Publications
A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements
- Author: Beenish Khalid, Ali Hassan, Muhammad Yasin, Muhammad Salman, Muhammad Fasih Uddin Butt, Wadood Abdul, Imran Khan Niazi
Journal: Biomedical Signal Processing and Control
Year: 2025
EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features
- Author: Beenish Khalid, Ali Hassan, Ehsan Ullah Munir, Imran Khan Niazi
Journal: 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)
Year: 2023
EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding
- Author: Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi Alnowamii
Journal: IEEE Access
Year: 2020