Hershey, Pennsylvania
New York, New YorkBeijing, China

Madan Mohan Tito Ayyalasomayajula

Madan Mohan Tito Ayyalasomayajula , a Doctorate holder in Computer Science from Aspen University, Arizona, USA, is a seasoned expert in the realms of AI, ML, Big Data, and emerging technologies. Currently serving as a Senior Technology Architect at Infosys in the United States, Dr. Ayyalasomayajula leverages over two decades of industry experience to drive innovation and strategic advancements in technology. Through his writings, he aims to empower readers with deep insights and practical knowledge, fostering the next generation of innovators and leaders in the technology sector. As a research scholar and industry expert, Dr. Ayyalasomayajula has made significant academic contributions through his published articles, including groundbreaking work on AI-driven decision support systems, explainable artificial intelligence (XAI) for emotion detection, and advanced strategies for privacy-preserving machine learning. His extensive research encompasses analyzing language patterns for depression detection on social media, innovative fraud detection techniques using Red Deer Optimization and LSTM Attention Mechanism, and optimizing hyperparameter strategies in cloud-based machine learning models. Additionally, Dr. Ayyalasomayajula has contributed to optimizing photometric light curve analysis for cataclysmic variables and enhancing federated learning evaluation with instance-level insights in image classification models. In addition to his published work, several more scholarly articles are underway, further cementing his role as a thought leader in the field. Dr. Ayyalasomayajula has also served as a judge at the Regeneron International Science and Engineering Fair (ISEF), the world's largest pre-college science competition, reflecting his commitment to fostering the next generation of innovators. In “The Rise and Fall of Big Data,” Dr. Ayyalasomayajula aims to impart his extensive knowledge and insights, empowering readers to navigate and innovate within the complex landscape of big data.

Publications

AI and the Revival of Big Data
AI and the Revival of Big Data
Madan Mohan Tito Ayyalasomayajula. © 2025. 442 pages.
The interplay between big data and Artificial Intelligence has redefined how organizations process, analyze, and utilize information in the modern era. By leveraging AI, big data...
Hype vs. Reality: Unmet Expectations in Big Data Projects
Hype vs. Reality: Unmet Expectations in Big Data Projects
Madan Mohan Tito Ayyalasomayajula. © 2025. 32 pages.
Big Data has been glorified for its promise of transformation by different industries, an opportunity to innovate, and a period of unprecedented growth in various sectors...
Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment
Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment
Madan Mohan Tito Ayyalasomayajula. © 2025. 26 pages.
Personalized treatment for diabetic foot ulcers (DFUs) is crucial for optimal healing, minimizing complications, and reducing healthcare costs. Machine learning (ML) offers...
Explainable Artificial Intelligence (XAI) for Emotion Detection
Explainable Artificial Intelligence (XAI) for Emotion Detection
Madan Mohan Tito Ayyalasomayajula, Sailaja Ayyalasomayajula, Jay Kumar Pandey. © 2024. 30 pages.
This chapter delves into the significance of explainable artificial intelligence (XAI) in emotion detection (ED) systems, which aim to provide transparency and interpretability...