Chaitanya Kumar Mankala | Cloud Computing | Best Academic Researcher Award

Published on by Academic Achievements

Mr. Chaitanya Kumar Mankala | Cloud Computing | Best Academic Researcher Award

Mr. Chaitanya Kumar Mankala | Cloud Computing | Software Architect at Villanova University | United States

Mr. Chaitanya Kumar Mankala is a highly accomplished researcher, technologist, and innovator in the field of Artificial Intelligence, Software Engineering, and Cloud Computing. He is currently pursuing a Doctor of Philosophy (Ph.D.) in Artificial Intelligence at Villanova University, United States, building upon his academic excellence demonstrated through a Master of Science in Software Engineering and a Graduate Certificate in Health Informatics from the same institution, both earned with top-tier distinction. His undergraduate foundation in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University laid the groundwork for his exceptional career in intelligent systems and cloud-based architectures. Professionally, Mr. Mankala has held progressive leadership positions at global technology firms such as Unisys, Deloitte Consulting, Capgemini, and Guidehouse, where he has designed, led, and delivered large-scale enterprise systems integrating Dynamics 365, SAP, and Salesforce using Azure and AWS cloud platforms. His expertise spans artificial neural networks, deep learning models, serverless architectures, sustainable AI systems, natural language processing, and distributed systems, making him a driving force in transforming AI-driven digital solutions. His research skills encompass machine learning algorithms, large language models, predictive analytics, and cloud orchestration frameworks. A certified AWS Cloud Practitioner, Microsoft Certified Solutions Associate, and Machine Learning Specialist, he continues to advance the frontiers of scalable AI applications and intelligent automation. His research contributions have been featured in IEEE and Scopus-indexed publications, gaining recognition across academia and industry. Among his awards and honors, Mr. Mankala has received several distinctions for innovation, research excellence, and thought leadership in AI integration within enterprise ecosystems. In conclusion, Mr. Chaitanya Kumar Mankala exemplifies a forward-thinking researcher whose blend of academic rigor, professional leadership, and innovative mindset positions him as a global contributor to the future of artificial intelligence and sustainable technology systems.

Profile: Google Scholar

Featured Publications

  1. Mankala, C. K. (2025). Evolutionary Artificial Neuroidal Network using Serverless Architecture. IEEE – ISBI. 

  2. Mankala, C. K., & Silva, R. J. (2025). Sustainable Real-Time NLP with Serverless Parallel Processing on AWS. Information, 16(10), 903. 

  3. Mankala, C. K. (2024). AI and ML Speaker and Participant. Web Summit. 

  4. Mankala, D. R. J. S. C. K. (2024). Next Generation Artificial Neural Network for Dynamic Systems. IEEE EMBC Symposium. Mankala, C. K., & Silva, R. (2024). Health Informatics and AI Speaker. HIMSS Europe.

  5. Mankala, C. K. (2024). 3MT: Three Minute Thesis Presentation. YouTube Academic Series. 

  6. Mankala, C. K., & Silva, R. (2023). Next Generation Artificial Neural Network. ICEHTMC Proceedings.

 

Naga Surya Teja Thallam | Cloud Computing | Best Researcher Award

Published on by Academic Achievements

Mr. Naga Surya Teja Thallam | Cloud Computing | Best Researcher Award

Mr. Naga Surya Teja Thallam | Cloud Computing | Lead Member of Technical Staff at Salesforce | United States

Mr. Naga Surya Teja Thallam is a distinguished Lead Cloud Infrastructure Engineer with extensive expertise in cloud computing, big data platforms, and AI-enabled infrastructure solutions. He holds a Master’s in Computer Science from Bellevue University and a Bachelor’s in Computer Science from GRIET, providing a strong academic foundation for his professional work. Mr. Thallam has successfully led and delivered large-scale, secure, and cost-optimized cloud infrastructures across AWS, Azure, and GCP, serving Fortune 500 clients such as Salesforce and Cisco. His professional experience includes key roles as Lead Cloud Infrastructure Engineer at Salesforce, Senior Big Data Infrastructure Engineer at Cisco, and Senior Big Data Administrator at Seagate and Bank of America, where he managed multi-petabyte data pipelines, implemented high-availability systems, and automated DevOps and disaster recovery processes. His research interests focus on cloud infrastructure optimization, AI-driven automation, predictive analytics, multi-cloud cybersecurity, and big data ecosystem engineering, and his technical skills encompass AWS, Azure, GCP, Terraform, Ansible, Python, Spark, Redshift, EMR, Docker, and CI/CD pipelines. He has demonstrated strong leadership in managing cross-functional engineering teams, mentoring professionals, and delivering complex infrastructure projects on time. Mr. Thallam’s awards and honors include the prestigious Salesforce All Star Ranger, reflecting his mastery of cloud and big data technologies. While he has achieved significant professional impact, future development may include publishing more research in IEEE/ACM journals to advance academic recognition. His forward-looking contributions, including AI-enabled cloud orchestration and multi-cloud optimization strategies, position him as a key innovator in cloud infrastructure engineering. Mr. Thallam’s blend of technical mastery, global project leadership, research orientation, and professional dedication underscores his excellence and potential for continued impact in cloud and big data innovation.

Profile: Google Scholar

Featured Publications 

  1. Thallam, N. S. T. (2023). Comparative Analysis of Public Cloud Providers for Big Data Analytics: AWS, Azure, and Google Cloud. International Journal of AI, BigData, Computational and Management Studies. 

  2. Thallam, N. S. T. (2025). Automating Distributed Systems Monitoring with CloudWatch, OpsGenie, and Grafana: A Comprehensive Guide. International Journal of Emerging Trends in Computer Science and Information.

  3. Thallam, N. S. T. (2025). AI-Powered Monitoring and Predictive Maintenance for Cloud Infrastructure: Leveraging AWS Cloud Watch and ML. International Journal of Artificial Intelligence, Data Science, and Machine.

  4. Thallam, N. S. T. (2025). Natural Language Processing (NLP) Beyond 2024: The Future of Human-AI Communication and Language Models. Journal of Scientific and Engineering Research.

  5. Thallam, N. S. T. (2025). Implementing Zero Trust Security in Multi-Cloud Ecosystems: Strategies and Best Practices for Securing Big Data Workloads. European Journal of Advances in Engineering and Technology.

  6. Thallam, N. S. T. (2024). AI-Powered Cybersecurity: How Machine Learning is Redefining Threat Detection and Prevention. International Journal of Scientific Research in Engineering and Management.

  7. Thallam, N. S. T. (2024). The Rise of Generative AI: Transforming Industries with Large Language Models and Deep Learning. IJSAT-International Journal on Science and Technology.