Farah Jabeen, born on July 24, 1997, in Pakistan, is a distinguished professional in the fields of Artificial Intelligence (AI), Data Sciences, Machine Learning, Data Mining, Databases, Bioinformatics, and Data Analysis.
Farah completed her Master in Computer Science (MSCS) from COMSATS University Islamabad, Abbottabad, Pakistan, with a commendable CGPA of 3.64. Her master's thesis focused on "Predicting Drug-Protein Interaction Using Machine Learning," encompassing advanced topics in neural networks, intelligent systems, data mining, and human-computer interaction. She also holds a Bachelor of Software Engineering (BSE) from the same institution.
Her academic journey began with a strong foundation in pre-engineering, which she completed at the Board of Intermediate and Secondary Education (BISE), Abbottabad, Pakistan. She excelled in her Secondary School Certificate (SSC) with a focus on science subjects, achieving notable grades.
Farah's professional career is marked by her tenure as a Lecturer in the Department of Computer Science at COMSATS University Islamabad, Wah Campus, where she has been serving since September 2023. Previously, she was a Lecturer in the Department of Information Technology at the University of Haripur and a Data Analyst at the Planning & Development Department (GPP), Khyber Pakhtunkhwa, Peshawar.
Her teaching portfolio includes a range of courses such as Programming Fundamentals, Discrete Structures, Operating Systems, Software Project Management, Software Design and Architecture, Analysis of Algorithms, Data Mining, and Database Management. She has also supervised several Final Year Projects (FYPs) including "Brain Disease Prediction using Machine Learning" and "Sentiment Analysis using Social Media Mining Apps."
Farah has actively participated in various academic and professional activities, including setting exams, designing courses according to CLOs and PLOs, and serving as a member of viva committees. She has also been involved in organizing and moderating external FYP examinations and student events.
Her research contributions are significant, with publications like "Exploration of Epidemic Outbreaks using Machine and Deep Learning Techniques" presented at the International Conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies in Riyadh, Saudi Arabia. Another notable publication is "Machine Learning-Based Prediction of Inhibitors Interaction with Butyrylcholinesterase for the Treatment of Alzheimer’s Disease" in the journal Computers and Electrical Engineering.
Farah's dedication to her field is further demonstrated by her certifications in Big Data Analytics, Hadoop, and Cloudera Certified Associate (CCA). She has also been recognized for her participation in conferences and workshops, including the Young Women Leadership conference hosted by the President of Pakistan and a workshop on COVID-19 diagnosis techniques.
Her technical skills span multiple programming languages and tools, including Python, Java, C++, C, MS Office, Microsoft Excel, SPSS, Power BI, Google Sheets, and NVivo. Her leadership and educational roles have been complemented by her involvement in various academic and extracurricular activities, showcasing her commitment to excellence and continuous learning.
Farah Jabeen's career reflects a blend of academic rigor, practical experience, and a passion for advancing knowledge in her areas of expertise, making her a notable figure in the field of computer science and data analytics.