SHAHANA A H

Dedicated and goal-driven academician with over 4 years and 5 months of experience as an Assistant Professor in Computer Science and Engineering. Demonstrated expertise in teaching core computer science subjects, mentoring students, and managing academic and administrative responsibilities at the departmental level. Actively engaged in research, particularly in the domain of data mining and feature selection, with multiple papers published and presented at prestigious IEEE conferences. Participated in various national and international conferences, fostering academic exchange and interdisciplinary collaboration. Recognized for contributing to institutional development through curriculum planning, event coordination, and academic documentation. Passionate about teaching and committed to sharing knowledge and expertise to inspire the next generation of engineers, and instill in them a deep appreciation for the field of computer science.

MTech: A binary krill-herd approach-based feature selection for high-dimensional data

This data mining-based project presents a novel feature selection method aimed at improving  classification performance in high-dimensional datasets. Leveraging the bio-inspired Binary Krill-Herd Optimization algorithm, the system intelligently selects a minimal yet highly relevant subset of features, thereby reducing dimensionality and computational complexity. The technique enhances model interpretability and efficiency, making it suitable for large-scale machine learning applications. The entire system was designed and implemented in Java, utilizing its object-oriented features and performance reliability for algorithm development and data processing. 

BTech: Adjacent Link Failure Localization with Monitoring Trails in All Mesh Networks

This networking-based project focuses on achieving fast and precise failure localization in mesh networks. It tackles the critical challenge of identifying adjacent link failures promptly—an essential requirement for ensuring network reliability and minimizing downtime. The project employs the innovative concept of M-trail (monitoring trail) as a comprehensive framework to track data paths and accurately pinpoint failure locations. By analyzing network routes and detecting anomalies, the system facilitates swift corrective actions. The entire approach is implemented in Java, leveraging its robust capabilities for network programming and algorithmic problem-solving.

• M.Tech research paper published in the IEEE Conference
• I participated in and presented papers at national and international conferences
• Cash prize awarded by Dr. G. Madhavan Nair, former ISRO chairman, for securing 1st position in the First year B.Tech degree university examination 2010 in the Computer Science department.
• Contributed to the Computer Science departmental magazine 'RieTech' during the undergraduate program

• A Binary Krill Herd Approach-Based Feature Selection for High-Dimensional Data, IEEE International Conference on Inventive Computation Technologies (ICICT 2016), RVS Technical Campus, Coimbatore, Tamil Nadu, India, Paper Published
• Survey on feature subset selection for high-dimensional data, IEEE International Conference on Circuits, Power, and Computing Technologies 2016 (ICCPCT 2016), NIUEEE, Noorul Islam University, Nagercoil, Tamil Nadu, India, Paper Published
• Feature subset selection for dimensionality reduction, National Conference on Recent Advances in Computer Engineering and Information Technology (RACE 2016), Mohandas College of Engineering, Trivandrum, Kerala, India, presented

• Participated in the online IT Workshop - International Centre for Free and Open Source Solutions (ICFOSS). Jan 2025 - Feb 2025
• Participated & completed Faculty Development Program (FDP) on Strategic Approaches and Emerging Trends in Data Science - AICTE Training & Learning (ATAL) Academy, Federal Institute of Science and Technology (FISAT). Feb 2025.
• Participated in the five-days National Level online Faculty Development Program (FDP) titled “Generative AI - The Future of Creativity and Automation” - Department of Computer Science and Engineering in association with CSI and ISTE, Vidya Academy of Science & Technology, Thrissur. Jan 2025.
• Participated in a six-days ATAL-sponsored Faculty Development Program (FDP) on Energy, Sustainability, and Climate Resilience in the Modern World - Department of Civil Engineering, Vidya Academy of Science and Technology Technical Campus (VAST-TC), Kilimanoor, Kerala, India. Dec 2024
• Participated in a five-days Faculty Development Program (FDP) on Algorithmic Thinking with Python - Department of Computer Science and Engineering, Bishop Jerome Institute, Kollam, Kerala, India. Sep 2024
• Participated in a webinar on 'Cyber Security and Ethical Hacking - Department of Computer Science and Engineering, SHM Engineering College, Kadakkal, Kerala, India. Feb 2020
• Participated in a one-week Faculty Development Program (FDP) on 'R Programming' - Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College in association with the Spoken Tutorial Project, IIT Bombay, India. May 2020
• Participated in a webinar on 'Bibliometric Analysis of Scientific Literature' - Department of Computer Science and Engineering, SHM Engineering College, Kadakkal, Kerala, India
• Active student member of the Computer Society of India (CSI) from 2014 to 2016
• Participated in a workshop conducted by CSI on 'Cloud Computing and Implementation of OpenStack' - Department of Computer Science and Engineering, Sree Chitra Tirunal College of Engineering, Trivandrum, India
• Participated in ROBO-AUTOMATA of ROBO-ZEST'13 - A national-level workshop series on robotics - Robo-Species Technologies
• Participated in the AppsFluxes 2013 National Android Apps Championship Workshop - Finland Labs
• Participated and volunteered in the technical events conducted by the Computer Science Department Association (ASCI) and the college fest ITHIHA 2K1
• Took part in various arts and sports events conducted in school and college.

• Qualified for the UGC-NET exam in June 2024 for Assistant Professor and admission to a Ph.D. program with a 96.436 percentile

• Husband: Sharmin Sirajudeen
• Father: Abdul Hakkim A
• Mother: Shyla Hakkim
• Date of Birth: 02/23/1991
• Nationality: Indian
• Marital Status: Married