Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024

Batlah Almutairi – Big Data Analytics – Best Researcher Award

Dr Batlah Almutairi - Big Data Analytics - Best Researcher Award 

Kuwait Institute for Scientific Research - Australia 

Author Profile

Early Academic Pursuits

Dr Batlah Al-Mutairi began her academic journey with a Bachelor's degree in Microbiology and Chemistry from Kuwait University in February 2005, where she demonstrated academic excellence with a Grade Point (GP) of 3.57. This laid the foundation for her career in the field of microbiology and set the stage for her future endeavors.

Professional Endeavors

In May 2005, immediately after graduating, Al-Mutairi joined the Kuwait Institute for Scientific Research (KISR) as a Research Assistant in the Biotechnology Department. Over the years, she progressed through the ranks, holding positions such as Research Associate in 2010 and eventually achieving the position of Associate Research Scientist in 2022. Her career at KISR was marked by diverse research projects, ranging from the isolation and characterization of lactic acid bacteria for various applications to leading projects focused on the relieving effects of probiotic-supplemented yogurt on patients with irritable bowel syndrome.

Contributions and Research Focus

Dr Al-Mutairi's primary research focus revolved around beneficial microbes, probiotics, and functional foods. She led and participated in numerous research projects, including the isolation and characterization of lactic acid bacteria for fish and poultry, development of DNA fingerprinting techniques, and the assessment of probiotics for various applications. Her Master's and PhD research at Auckland University of Technology and The University of Queensland, respectively, delved into developing new functional food products containing probiotics and prebiotics for detoxification and improving food safety and quality for human health.

Accolades and Recognition

Dr Batlah Al-Mutairi received the Middle East Women Inventors & Innovators Network (MEWIIN) Award for research and product development in 2023, recognizing her outstanding contributions to the field. This accolade stands as a testament to her dedication and excellence in microbiological research.

Impact and Influence

Dr Al-Mutairi's impact extends beyond the laboratory. She actively engaged in sharing her research findings through conference presentations and workshops, both nationally and internationally. Her presentations covered topics such as the impact of commercial prebiotics on bacterial growth and survival, the development of new milk drinks containing probiotics, and the assessment of probiotic strains' ability to bind aflatoxin M1.

Legacy and Future Contributions

As a member of various organizing committees and presenter at international conferences, Dr Al-Mutairi has contributed significantly to the dissemination of knowledge and the advancement of microbiological research. Her legacy lies in the projects she led, the research findings she presented, and the recognition she received. Looking forward, her commitment to microbiology and functional foods suggests continued contributions to the field, potentially influencing advancements in probiotics, prebiotics, and related areas.

Notable Publication