Ms Naailah Mahamoodally | Smart Buildings | Women Researcher Award |

Ms. Naailah Mahamoodally | Smart Buildings | Women Researcher Award

Concordia University, Canada

Professional Profiles:

ORCID

ย ๐Ÿ‘จโ€๐ŸŽ“ Bio Summary:

Naailah Mahamoodally is a dedicated researcher currently pursuing her MASc in Quality Systems Engineering at Concordia University, where her work focuses on transfer learning for occupancy estimation in smart buildings with imbalanced data. She graduated with First Class Honors in Computer Science from the University of Mauritius, where she developed IoT solutions for traditional appliances. Her research interests lie in machine learning, smart technologies, and IoT applications, and she has published in respected journals like the Journal of Building Engineering. In addition to her academic achievements.

๐ŸŽ“ Educational Background:

Naailah Mahamoodally is currently pursuing her MASc in Quality Systems Engineering at Concordia University, Canada (2023-2025), where she maintains an exceptional CGPA of 4.08. Her thesis focuses on Transfer Learning for Occupancy Estimation in Smart Buildings for Imbalanced Data, under the supervision of Dr. Manar Amayri. She also holds a BSc (Hons) in Computer Science from the University of Mauritius (2019-2022), where she graduated with First Class Honors, achieving a GPA of 3.62. Her undergraduate dissertation, titled IoTising IR-Based Traditional Appliances for Individual Smart Homes, showcases her strong foundation in IoT technologies.

๐Ÿ” Research Focus:

Naailahโ€™s research primarily revolves around machine learning, smart buildings, and the Internet of Things (IoT). She has a keen interest in applying transfer learning techniques to improve occupancy estimation systems, particularly in environments where data is imbalanced. Her focus is on developing innovative, scalable solutions for smart homes and buildings, leveraging her deep expertise in machine learning frameworks such as Tensorflow and PyTorch.

๐Ÿ† Honors & Awards:

Naailah has been recognized for her academic excellence with a prestigious Entrance Award of $5000 at Concordia University. Her exceptional academic performance is further reflected by her consistent high grades throughout her academic journey.

๐Ÿ’ผ Professional Experience:

Professionally, Naailah has diversified her experience by working as an Oracle Consultant at Spoon Consulting (October 2022 – June 2023), where she specialized in both technical and functional aspects of Oracle Human Capital Management (HCM) and Financials Cloud Management (FCM). She also gained valuable client-facing experience, handling data analysis and creating interactive dashboards. Currently, she is employed as a clerk at Econofitness Gym, showcasing her adaptability and work ethic.

๐Ÿ“š Top Noted Publications :

Title: Explainable Domain Adaptation for Imbalanced Occupancy Estimation

Authors: Naailah Mahamoodally, Jawher Dridi, Manar Amayri

Index: Crossref

Year of Publication: 2024

DOI: 10.1016/j.jobe.2024.110613

Journal: Journal of Building Engineering

Conclusion:

Naailah Mahamoodally is a highly capable candidate with a strong technical and research foundation in machine learning, smart technologies, and computer science. Her academic excellence, leadership roles, and publication make her a competitive candidate. However, to maximize her chances for the Research for Women Researcher Award, she could focus on publishing more research, gaining involvement in women-centric STEM initiatives, and enhancing the real-world impact of her work.