Dr. Narumol Chumuang
Department of Digital Media Technology
Faculty of Industrial Technology
Muban Chombueng Rajabhat University, Ratchaburi Thailand
Asst. Prof. Dr. Narumol Chumuang is a lecturer and researcher in the Department of Digital Media Technology, Faculty of Industrial Technology, Muban Chombueng Rajabhat University, Ratchaburi, Thailand. She received her Ph.D. in Information Technology from King Mongkut’s University of Technology North Bangkok, Thailand. Her research interests include Artificial Intelligence, Machine Learning, Computer Vision, Image Processing, and intelligent digital technologies.
She has extensive experience in teaching, research, academic administration, and technology-driven innovation. She previously served as Director of the Research and Development Institute and Assistant to the President of Muban Chombueng Rajabhat University. She has also contributed to the IEEE Systems, Man, and Cybernetics (SMC) Thailand Chapter and has served as an international reviewer and technical program committee member for several international conferences.
Dr. Chumuang has authored and co-authored numerous international publications in Artificial Intelligence, Machine Learning, Computer Vision, IoT, and intelligent systems, including IEEE-indexed conference publications. Her recent research covers AI-based health applications, computer vision for smart agriculture, OCR-based health risk assessment, and intelligent sensing systems.
Her achievements include the Grand Prize and Gold Medal at the Japan Design, Idea and Invention Expo (JDIE 2024), the National Research Award of Thailand, and medals from the International Exhibition of Inventions Geneva
Rakesh Reddy Thalakanti
Rakesh Reddy Thalakanti is a Senior Software Engineer and researcher with experience in artificial intelligence, machine learning, distributed systems, cloud computing, and enterprise software engineering. His professional experience includes engineering roles at leading technology and financial organizations, where he has worked on large-scale cloud platforms, microservices, automation, and AI-driven enterprise solutions.
His research focuses on artificial intelligence, machine learning, neural network optimization, federated learning, software engineering, and computational methods. He has authored and published multiple peer-reviewed research papers in IEEE, IET, and other international venues, covering topics such as evolutionary optimization of neural networks, optimized backpropagation, federated learning, software product-line integrity, and numerical methods.
Beyond his research publications, Rakesh actively contributes to the research community as a peer reviewer for international journals and conferences and has participated in technical leadership activities, including IEEE conference session chair roles. His work bridges academic research with practical software engineering, with a particular interest in developing scalable and intelligent systems that address real-world engineering challenges.
Bandhavi Parvathaneni
Business Intelligence Analyst Chicago, Illinois, United States | North America
Bandhavi Parvathaneni is a Data Science and Artificial Intelligence professional with expertise spanning machine learning, natural language processing, business intelligence, and predictive analytics. She holds a Bachelor’s degree in Computer Science and a Master’s degree in Data Science from the United States, where she also served as a Teaching Assistant for Machine Learning and Natural Language Processing courses, mentoring graduate students in advanced AI methodologies.
Her research background includes transformer-based recommendation systems using HuggingFace and the RecBole framework, with work published across benchmark datasets including MovieLens and Amazon. She has contributed to research at the intersection of AI and real-world operational challenges, with active publications in areas including LLM driven automated reporting, workforce attrition prediction, and transit demand forecasting.
Professionally, Bandhavi has worked across the finance and public transportation sectors, currently serving as a Business Intelligence Analyst at VIA Metropolitan Transit in San Antonio, Texas, where she applies advanced analytics and AI driven solutions to improve transit operations and decision-making. Her work bridges the gap between cutting-edge AI research and practical industry impact, making her a recognized voice in the applied data science community. “
Sai Darshak Reddy Yettapu
Sai Darshak Reddy Yettapu is a software engineer and researcher specializing in software engineering, information security, cloud computing, and secure application development. Sai Darshak Reddy Yettapu has experience designing and developing scalable full-stack applications using Java, Spring Boot, React, Angular, RESTful APIs, and microservices architecture. His professional work includes cloud-native development on AWS and Azure, CI/CD automation, application testing, database integration, and cloud security monitoring. Sai Darshak Reddy Yettapu holds a Master’s degree in Software Engineering from the University of Houston–Clear Lake and a Bachelor’s degree in Computer Science and Engineering from Vel Tech University. He is currently pursuing a Ph.D. in Information Technology with a concentration in Information Security at the University of the Cumberlands. His academic and professional interests focus on secure cloud systems, scalable software architecture, intelligent automation, and the development of reliable technologies that address real-world business and security challenges.
Asadullah Saif Mohammed
Asadullah Saif Mohammed is a Senior Technical Program Manager, researcher, and technology leader with more than 22 years of experience delivering enterprise transformation initiatives across artificial intelligence, cloud computing, data governance, HR technology, and energy systems. He has held leadership roles supporting organizations including Amazon, Portland General Electric, Intuit, and Con Edison. His research focuses on AI-driven program management, intelligent automation, enterprise decision systems, and data intelligence. He is a published author, keynote speaker, peer reviewer, and conference session chair. Asadullah holds an MS in Managing Information Technology and is pursuing a Doctor of Information Technology. His professional credentials include PMP, CSM, A-CSM, SAFe 6.0, and Six Sigma Black Belt.”
Satish Kumar Malaraju
Technology Architect – DevSecOps
VHL Technologies Inc.
Short Biography:
Satish Kumar Malaraju is a Technology Architect with expertise in DevSecOps, Artificial Intelligence, Cloud Computing, Cybersecurity, Kubernetes, and enterprise software engineering. He specializes in designing secure, scalable platforms and modernizing software delivery through CI/CD, container orchestration, and infrastructure automation.
His scholarly work, published through IEEE and Springer, covers scalable AI deployment in hybrid-cloud environments, embedded systems, and energy-efficient software optimization. His contributions have received Best Paper recognition at international conferences.
Satish is also an inventor associated with a German-registered patent for a smart camera system that enables real-time object classification and adaptive functional control using AI.
He contributes to the technology community through peer review, conference judging, research evaluation, and technical leadership. His areas of interest include Generative AI, Edge AI, secure cloud architectures, autonomous computing, and AI-assisted software engineering.
| Swathi Gangarapu, Senior Software Engineer |
I am a Senior Software Engineer & Architect, with 15 years of experience in Java and related technologies including front end development, Aws cloud, Devops and Generative AI experience. My domain expertise includes Banking & Finance, Insurance, Health care and Hospitality.
Proposed Keynote Talk – Title :
“Full-Stack Applications to Agentic AI Systems: Building Trustworthy Generative AI Solutions with Java”