Mrs. Manvitha Gali | IoT Network Security/Not | Best Research Article Award

Lead Software Engineer at HCL America Inc/ Verizon, United States

Manvitha Gali is a distinguished software engineer and researcher specializing in the realms of the Internet of Things (IoT), cybersecurity, and edge-cloud computing. Her professional journey has been marked by significant contributions to both industry and academia, reflecting a profound commitment to technological advancement and innovation. Currently serving as a Senior Lead Software Engineer at Verizon, Manvitha plays a pivotal role in developing and automating Java-based REST APIs and managing microservices architectures tailored for IoT connectivity. Her expertise extends to leading ThingSpace Connectivity Management and ThingSpace Connectivity Plus Services, underscoring her leadership in IoT solutions. Beyond her corporate responsibilities, Manvitha is actively engaged in scholarly research, focusing on enhancing IoT network security and integrating advanced technologies such as deep learning and blockchain. Her dual engagement in practical application and theoretical exploration positions her as a notable figure in contemporary computer science.

Profile

Google Scholar

Education

Manvitha’s academic foundation is robust and diverse, laying the groundwork for her multifaceted career. She earned her Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, India, in 2014, providing her with a solid grounding in computer science principles. Pursuing advanced studies, she obtained a Master of Science in Computer Science from the University of Houston, Clear Lake, in 2016, achieving a commendable GPA of 3.769. Her quest for knowledge led her to the University of the Cumberlands, where she is currently a Ph.D. scholar in Information Technology, maintaining a GPA of 3.78. This continuous academic progression reflects her dedication to deepening her expertise and staying abreast of evolving technological landscapes.

Professional Experience

Manvitha’s professional trajectory is characterized by progressive roles that showcase her technical acumen and leadership capabilities. Beginning as a Java Developer at Rancha Technologies (2014–2015), she managed Identity and Access Management (IAM) systems, ensuring secure and efficient operations. Her tenure as a Junior Programmer Analyst at Scloma LLC (2017) involved developing Single Sign-On (SSO) applications across multiple client platforms, enhancing user authentication processes. At BrainHR IT Solutions Inc (2017–2018), she developed Customer Service Management applications, integrating multiple communication channels to streamline client interactions. Her role as a Software Engineer at E-Giants Technologies LLC (2018–2021) for Verizon involved developing and automating Java-based REST APIs and managing microservices architectures for IoT connectivity. Since November 2022, as a Technical Lead at HCL America Inc., she has been leading ThingSpace Connectivity Management and ThingSpace Connectivity Plus Services for Verizon in Dallas, TX, underscoring her leadership in IoT solutions.​

Research Interests

Manvitha’s research interests are deeply rooted in enhancing the security and efficiency of IoT networks. She focuses on integrating machine learning and deep learning techniques to develop intelligent cybersecurity frameworks, particularly for IoT-enabled drones and smart city applications. Her work also explores the application of blockchain technology to create secure service-oriented architectures within IoT ecosystems. Additionally, she investigates the fusion of artificial neural networks with fuzzy logic for systematic stock market prediction, demonstrating the versatility of her research endeavors. Her scholarly pursuits aim to address contemporary challenges in IoT security and data analysis, contributing to the development of resilient and intelligent systems.​

Awards and Recognitions

Manvitha’s contributions have been acknowledged through various awards and recognitions. She was honored with the 18th Annual 2023 Golden Globee® Awards in Information Technology and received the Golden Titan Innovation Award for Innovation in Technology – Internet of Things (IoT). These accolades reflect her innovative approach and significant impact in the field of IoT. Her work has been featured in publications such as Tech Times and Tech Bullion, highlighting her transformative impact on IoT network security and her pioneering efforts in smart systems and connected technologies. These recognitions underscore her leadership and influence in the technology sector.​

Publications

Manvitha has contributed to the academic community through several notable publications:​

“A Distributed Deep Meta Learning based Task Offloading Framework for Smart City Internet of Things with Edge-Cloud Computing” (2022): Published in the Journal of Internet Services and Information Security, this paper presents a framework for efficient task offloading in smart city IoT environments, integrating deep meta-learning with edge-cloud computing. ​

“IoT-Empowered Drones: Smart Cybersecurity Framework with Machine Learning Perspective” (2024): Presented at the IEEE 2023 International Conference on New Frontiers in Communication, this work proposes a cybersecurity framework for IoT-enabled drones, leveraging machine learning techniques to enhance security measures.​

“IoT-enabled Secure Service-Oriented Architecture (IOT-SOA) through Blockchain” (2024): This conference paper discusses the development of a secure service-oriented architecture for IoT applications using blockchain technology, aiming to enhance security and efficiency.​

“Application of Artificial Neural Network Unified with Fuzzy Logic for Systematic Stock Market Prediction” (2024): Published in Fluctuation and Noise Letters, this article explores the integration of artificial neural networks with fuzzy logic to improve the accuracy of stock market predictions.​

“Mining Intelligence Hierarchical Feature for Malware Detection over 5G Network” (2024): Featured as a book chapter, this research addresses malware detection in 5G networks by mining hierarchical features, contributing to enhanced network security.​

Conclusion

Manvitha Gali exemplifies the synergy between industry expertise and academic scholarship. Her career reflects a dedication to advancing technology, particularly in IoT security and edge-cloud computing. Through her professional roles and research contributions, she continues to influence the evolution of secure and intelligent systems, demonstrating a commitment to innovation and excellence in the field of computer science