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

Published on by Research Data Analysis

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

Priya L – Cognitive analytics – Excellence in Innovation 

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Dr Priya L - Cognitive analytics - Excellence in Innovation 

Rajalakshmi engineering college - India

Author Profile

Early Academic Pursuits

Dr. L. Priya embarked on her academic journey with a strong foundation in engineering, completing her Bachelor's in Electronics and Communication Engineering (B.E. ECE) from AVC College of Engineering, Mayiladuthurai. She further honed her expertise with a Master's in Technology (M.Tech) in Information Technology from M.I.T Campus, Anna University. Her academic pursuit reached its pinnacle with a Ph.D. in Computer Vision from Anna University, showcasing a deep commitment to advancing her knowledge in the field.

Professional Endeavors

With an illustrious career spanning 23 years, Dr. L. Priya has been a stalwart in the field of Information Technology. Since 2009, she has served as a Professor in Information Technology at Rajalakshmi Engineering College (REC). Her dedication to teaching and research is evident in her significant contributions to the academic community.

Contributions and Research Focus

Dr. Priya has made substantial contributions to the field of Computer Vision and Machine Vision. Her consultancy work, involving over 40 projects, focuses on enhancing the quality control processes using Machine Vision technologies. Noteworthy projects include advancements in areas like Smart Boat technology, tele radiology software for Private PACS, and quality inspection systems for automotive components and consumer products.

Her expertise extends to the editorial domain, where she holds positions in reputed publications, contributing to the dissemination of knowledge in the academic realm. Dr. Priya's research focus spans diverse areas such as image processing for timely detection of stemborer infection, digitally fusing traditional knowledge for promoting millets as a nutritious alternative, and various machine vision applications.

Accolades and Recognition

Dr. L. Priya's significant impact in the Information Technology field has been acknowledged through numerous accolades. She has been honored with a Lifetime Achievement Award for outstanding professional and research achievements by the Institute of Researchers, recognized by the Ministry of MSME, Govt. of India. Additionally, her Academic Excellence Award in the Aram Awards 2023 highlights her substantial contributions to industry-academia collaboration.

Legacy and Future Contributions

As a recognized authority in her field, Dr. Priya has left a lasting legacy through her role as a Governing Council Body Member in the Federation of Industry and Management Association (FIMA) and as a Lifetime Member of the Indian Society for Technical Education. Her leadership in the MSME Business Incubation Center of REC has led to the successful establishment of an Incubation Center, fostering innovation and entrepreneurship.

Looking forward, Dr. L. Priya continues to contribute to the academic and industrial landscape, with a focus on research, mentorship, and the application of cutting-edge technologies. Her commitment to excellence and innovation sets a benchmark for future generations in the field of Information Technology.

Notable Publication

 

Worldwide Research Analytics Distinction Award

Published on by Research Data Analysis

Worldwide Research Analytics Distinction Award

Worldwide Research Analytics Distinction Award

Introduction: Step into the future of research excellence with the 'Worldwide Research Analytics Distinction Award.' This prestigious award recognizes pioneers in research analytics, pushing the boundaries of knowledge and making significant contributions to the global research landscape.

Eligibility: Open to researchers worldwide, the award has no age limits. Candidates must showcase an exceptional ability to leverage analytics in their research endeavors.

Qualification: Applicants should possess a proven track record of utilizing advanced analytics in research projects, demonstrating a minimum of 5 years of professional experience in the field.

Publications and Requirements: Candidates are expected to have a robust portfolio of publications showcasing the innovative application of analytics in their research. Original research papers, articles, or case studies are highly encouraged.

Evaluation Criteria: Judged on the innovative use of analytics, impact on research outcomes, and contribution to advancing analytical methodologies, candidates will undergo rigorous evaluation by a distinguished panel of experts.

Submission Guidelines: Submissions should include a comprehensive biography, an abstract of the candidate's research methodology, and supporting files that highlight the significance of their analytics-driven research. All documents must be submitted in a standard format.

Recognition: Winners will receive global recognition for their outstanding achievements, with featured spotlights in leading research publications and international conferences.

Community Impact: Candidates should demonstrate a positive influence on the research community through the application of analytics, knowledge-sharing, or community-driven initiatives.

Biography: Provide a detailed biography outlining your journey, achievements, and impact on the research analytics landscape.

Abstract and Supporting Files: Include a compelling abstract summarizing your key contributions and attach supporting files that showcase the depth and impact of your research analytics work.