Dr. Gracia Samuel | Telecommunications | Best Researcher Award

Dr. Gracia Samuel | Telecommunications | Best Researcher Award

Former Research Scholar, Christ University, India

Dr. Gracia Samuel is an accomplished Computer Science Researcher with over 11 years of extensive experience spanning academia, industry, and doctoral research. ๐Ÿ“Š With a strong foundation in data analytics, she specializes in optimizing QoS (Quality of Service) and QoE (Quality of Experience) metrics in telecom networks. ๐Ÿ“ก Her unique blend of skills in DEA (Data Envelopment Analysis), predictive modeling, and network performance benchmarking makes her a valuable asset in the field of network optimization and planning. Currently residing in Chennai, India, she is passionate about driving impactful research that contributes to smarter, more connected societies. ๐ŸŒ

Publication Profile

Google Scholar

๐ŸŽ“ Educational Background

Dr. Gracia Samuel holds a Ph.D. in Computer Science from Christ University, Bangalore (2020โ€“2024), where her thesis focused on benchmarking QoS and QoE metrics using DEA. ๐Ÿ“˜ She earned her M.S. in Telecommunication Networks from the prestigious Polytechnic University, now NYU Tandon School of Engineering, USA (2006โ€“2008). ๐ŸŽ“ Her undergraduate journey began with a B.E. in Electronics and Communication Engineering from Karunya Institute of Technology, Coimbatore (2002โ€“2006). ๐Ÿง‘โ€๐Ÿ’ป Her educational path has been firmly rooted in communication networks and data science.

๐Ÿ’ผ Professional Experience

Dr. Gracia brings rich industry and academic experience to the table. She started her career as a Programmer Analyst Trainee at Peri Software Solutions, New Jersey ๐Ÿ‡บ๐Ÿ‡ธ (2008), gaining hands-on expertise in Perl, HTML, and SQL. Later, as an Assistant Professor at VIT University (2009โ€“2010), she led several courses and student research projects in computer networks using OPNET. ๐Ÿ“˜ Her industry roles include Senior Analyst at Ocwen Financial Solutions (2015โ€“2017), where she conducted predictive modeling and market risk analysis using SAS and SQL, and Analyst at GE Capital (2011โ€“2014), focusing on customer analytics and economic research. ๐Ÿ“ˆ

๐Ÿ† Awards and Honors

Gracia Samuel has received several accolades throughout her career ๐ŸŒŸ. She was appreciated by the CRO and Board of Directors at GE Capital for her insights into auto lending risks. She earned multiple Gold Awards for her contributions to e-commerce and mobile analytics and for her economic data validations. ๐Ÿฅ‡ She also received a Bronze Award for efficiency and an Achievement Award for optimizing e-commerce dashboard processes. Notably, her conference paper was awarded Best Paper at the 2022 International Conference on Intelligent Computing and Technology. ๐Ÿ…

๐Ÿ”ฌ Research Focus

Dr. Graciaโ€™s research interests lie at the intersection of Data Analytics, Telecommunications, and Network Optimization. ๐Ÿ“ก Her Ph.D. work focuses on using Slack-Based Measures in DEA to benchmark and enhance QoS/QoE in telecom services, providing actionable strategies for network planning and service improvement. She also explores predictive analytics, VANET security, 5G benchmarking, and smart network societies. Her work contributes to designing resilient, scalable, and customer-centric telecom infrastructures. ๐Ÿ“ถ

๐Ÿ“š Top Publicationsย 

Towards a Smarter Connected Society By Enhancing Internet Service Providers’ QoS Metrics Using Data Envelopment Analysisย โ€“ ECS Transactions, 2022 โ€“ Cited by 10 articles.

An Optimal Benchmarking Technique to Improve Quality of Experience in 4G Indian Public Telecom Sector for Better Network Penetration and Fair Service Pricingย โ€“ Telematique, 2023 โ€“ Cited by 7 articles.

A Case Study of Security in VANETsย โ€“ International Journal of Advanced Research in Computer Science, 2011 โ€“ Cited by 5 articles.

5G Planning and QoE Management Using Mathematical Benchmarking Techniques for Europe and Middle Eastern Countriesย โ€“ IEEE CONECCT, 2022 โ€“ Cited by 4 articles.

5G Telecom Toolkitย โ€“ Patent Office Journal, Nov 2023.

๐Ÿงพ Conclusion

With a strong foundation in both theory and practice, Dr. Gracia Samuel exemplifies the convergence of academic rigor and industry relevance. ๐Ÿ’ก Her contributions to telecom benchmarking, data analytics, and network optimization have added value to both scholarly research and operational excellence. Driven by curiosity and a commitment to technological advancement, she continues to push boundaries in creating efficient, fair, and innovative communication networks. ๐ŸŒ

Abimbola Efunogbon | 5G Networks | Best Researcher Award

Dr. Abimbola Efunogbon |5G Networks | Best Researcher Award

PhD Candidate, University of Bedfordshire, United Kingdom

Dr. Bims Efunogbon is an innovative and people-centric leader with over 15 years of expertise in software engineering, cloud computing, and AI-driven infrastructure. Based in Bedford, UK, she has successfully built and managed distributed engineering teams across remote environments, delivering cutting-edge solutions in developer tools, automation, and cloud architectures. With a strong foundation in digital transformation, she combines strategic oversight with deep technical proficiency to streamline operations and drive business growth. Passionate about AI/ML, DevOps, and cybersecurity, Dr. Efunogbon continues to leverage her expertise to modernize platforms and enhance engineering best practices.

Publication Profile

Scopus

๐ŸŽ“ Education

Dr. Efunogbon holds a PhD in Machine Learning (2024) from the University of Bedfordshire, where she conducted advanced research in AI and network optimization. She also earned an MSc in Computing & Entrepreneurship from the same university, blending technical expertise with business acumen. Her academic journey began with a BSc in Chemical & Polymer Engineering from Lagos State University, Nigeria, providing her with a strong analytical and problem-solving foundation. Additionally, she has completed specialized training in SOA & Service-Oriented Computing and holds certifications in Microsoft Visual Basic.NET and Accounting (Bookkeeping, SAGE).

๐Ÿ’ผ Experience

With a career spanning over a decade, Dr. Efunogbon has demonstrated exceptional leadership in managing cross-functional engineering teams, overseeing cloud infrastructure, and implementing DevOps practices. She excels in process automation, AI/ML applications, and high-performance computing, enabling seamless integration of innovative solutions across multiple industries. Her expertise includes strategic technology implementation, cloud computing, and agile methodologies, ensuring operational excellence and efficiency. She has successfully led remote engineering teams, coached talent, and driven digital transformation initiatives in various sectors, reinforcing her role as a key industry expert.

๐Ÿ† Awards and Honors

Dr. Efunogbon has received numerous accolades for her outstanding contributions, including the Outstanding Staff of the Year (2011) and Best Canvasser of the Year at Debenhams (2009). She was also recognized as the Best Female Engineering Student by APWEN (2001), highlighting her academic excellence and leadership in STEM fields.

๐Ÿ”ฌ Research Focus

Dr. Efunogbon’s research revolves around AI-driven network optimization, cloud computing, and MLOps. Her work primarily explores the orchestration of 5G network sub-slicing using machine learning in fully virtualized environments, ensuring enhanced performance and efficiency. She is passionate about leveraging emerging technologies to create scalable, intelligent, and secure infrastructure solutions that drive digital transformation.

๐Ÿ” Conclusion

Dr. Bims Efunogbon is a dynamic leader, researcher, and innovator dedicated to driving digital transformation and AI-powered solutions. With a strong background in software engineering, cloud computing, and machine learning, she continues to shape the future of AI-driven network optimization and engineering leadership. Her contributions to academia and industry reinforce her commitment to technological excellence and operational efficiency. ๐Ÿš€

๐Ÿ“š Publications

Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learningย โ€“ Future Internet (2025) Read Here
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