Ms Naailah Mahamoodally | Smart Buildings | Women Researcher Award |

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Ms. Naailah Mahamoodally | Smart Buildings | Women Researcher Award

Concordia University, Canada

Professional Profiles:

ORCID

 👨‍🎓 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.

🎓 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.

🔍 Research Focus:

Naailah’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.

🏆 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.

💼 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.

📚 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.

Dr Mia Shaw | Learning sciences | Best Researcher Award |

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Dr. Mia Shaw | Learning sciences | Best Researcher Award.

New York University,United States

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Dr. Mia S. Shaw is an Assistant Professor and Faculty Fellow at NYU Steinhardt School of Culture, Education, and Human Development. She holds a Ph.D. in Teaching, Learning, and Teacher Education from the University of Pennsylvania. Dr. Shaw specializes in integrating technology and arts in education to support marginalized communities, particularly focusing on Black girls’ computing education through innovative methodologies like electronic textiles and quilt-making.

🎓 Education:

Dr. Shaw earned her Ph.D. in Teaching, Learning, and Teacher Education from the University of Pennsylvania in 2023, with a dissertation committee led by Yasmin Kafai. She also holds an M.Ed. in Curriculum and Instruction from the University of Nevada, Las Vegas, obtained in 2014, and a B.A. in Human Biology with Honors from Stanford University, awarded in 2012.

🔍 Research Focus:

Dr. Shaw’s research is centered on reimagining educational practices for marginalized groups, particularly Black girls, through the integration of arts and technology. Her work explores how quilt-making and electronic textiles can serve as powerful tools for storytelling and identity formation, fostering inclusive and engaging learning environments.

🏆 Honors & Awards:

Dr. Shaw has received numerous fellowships and awards, including the prestigious New York University Provost’s Postdoctoral Fellowship (Fall 2023-present), the Ford Foundation Dissertation Fellowship (Spring 2022), and the Lucas Education Research Student Voice in PBL Fellowship (Summer 2017-Spring 2018). She also participated in various retreats and writing fellowships, such as the Curriculum Inquiry Writing Fellowship in Summer 2022.

Professional Experience: 💼

Currently, Dr. Shaw serves as an Assistant Professor and Faculty Fellow at NYU Steinhardt, where she teaches graduate-level courses and co-organizes university, museum, and community workshops. Her prior experience includes roles as a qualitative researcher at the University of New Mexico, a Ford Foundation Dissertation Fellow, and a research assistant at the University of Pennsylvania. She has also been an instructor at TeenSHARP and a program coordinator for Techbridge Girls.

 📚 Top Noted Publications :

Stitching the Loop with Electronic Textiles: Promoting Equity in High School Students’ Competencies and Perceptions of Computer Science
Authors: Y.B. Kafai, D.A. Fields, D.A. Lui, J.T. Walker, M.S. Shaw, G. Jayathirtha
Citation Index: 50
Year of Publication: 2019
Published In: Proceedings of the 50th ACM Technical Symposium on Computer Science

Charting the Identity Turn in K-12 Computer Science Education: Developing More Inclusive Learning Pathways for Identities
Authors: M. Shaw, Y. Kafai
Citation Index: 23
Year of Publication: 2020
Published By: International Society of the Learning Sciences (ISLS)

Communicating about Computational Thinking: Understanding Affordances of Portfolios for Assessing High School Students’ Computational Thinking and Participation Practices
Authors: D. Fields, D. Lui, Y. Kafai, G. Jayathirtha, J. Walker, M. Shaw
Citation Index: 20
Year of Publication: 2023
Published In: Assessing Computational Thinking, pp. 112-146

Connecting with Computer Science: Electronic Textile Portfolios as Ideational Identity Resources for High School Students
Authors: M.S. Shaw, D.A. Fields, Y.B. Kafai
Citation Index: 18
Year of Publication: 2019
Published In: International Journal of Multicultural Education, Vol. 21, No. 1, pp. 22-41

Codequilt: Designing an Hour of Code Activity for Creative and Critical Engagement with Computing
Authors: Y. Kafai, G. Jayathirtha, M. Shaw, L. Morales-Navarro
Citation Index: 14
Year of Publication: 2021
Published In: Proceedings of the 20th Annual ACM Interaction Design and Children

Author Metrics 📊 : 

Dr. Shaw’s research has been well-received within the academic community, with several of her articles published in high-impact journals. Her contributions have significantly influenced the fields of education, computer science, and multicultural studies.

📅 Research Timeline:

Dr. Shaw’s academic journey began with her undergraduate studies in Human Biology at Stanford University, followed by her master’s degree at the University of Nevada, Las Vegas. She then pursued her doctoral studies at the University of Pennsylvania, where she conducted groundbreaking research on integrating arts and technology in education. Her postdoctoral fellowship at NYU Steinhardt marks the latest phase in her ongoing commitment to educational innovation and social justice.

Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

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Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

🎓 Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

🔍 Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

🏆 Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: 💼

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

 📚 Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics 📊 : 

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

📅 Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.