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International Conference on Intelligent Computing and Applications
ICICA-2025
Hybrid Mode
IBIS Pune
Pune, Maharashtra, India
Keynote Speakers
Dr. Rahul Autade
Sr. Manager, Requirement Analysis || Business Analysis Pennsylvania, United States rahul.autade@ieee.org
Mr. Atul Autade is a seasoned expert with over 22 years of experience in fintech and payment systems, having led major implementations for top U.S. banks. His work spans AI, cybersecurity, blockchain, and real-time payment infrastructure. A keynote speaker at IEEE AIC 2025 and presenter at IICE 2025, he also serves as a judge and reviewer for IEEE conferences and global innovation summits. Mr. Autade brings a unique blend of technical depth and visionary leadership to ICAIDLA-2025’s Emerging Technologies track.
Title of Speech: Intelligent Convergence: Harnessing AI and Deep Learning for Real Time Decision Intelligence in Financial and Smart Ecosystems
Abstract: As Artificial Intelligence and Deep Learning technologies mature, their integration into real time systems is transforming the way decisions are made across critical industries—from financial services and cybersecurity to smart infrastructure and digital governance. This keynote will explore the convergence of AI, big data analytics, and neural architectures in enabling predictive intelligence, fraud mitigation, autonomous adaptability, and scalable system design. Through case studies drawn from payment ecosystems, smart cities, and ethical AI frameworks, the session will highlight how intelligent systems can be designed to balance speed, trust, and transparency. The talk will also reflect on the future of AI governance and the importance of responsible innovation as we transition into a hyperconnected world.
Keywords: Artificial Intelligence, Deep Learning, Real Time Systems, Financial Technology, Smart Infrastructure, Predictive Analytics, Ethical AI, Neural Networks, Cybersecurity, Autonomous Decision Making
Dr. R. Ramakrishna
Lead Subject Matter Expert Payments Domain (Global PAYplus Implementation) Finastra ecosystem, USA ramakrishna.ramadugu@ieee.org
Ramakrishna Ramadugu is a seasoned technology leader with over 22 years of experience in Fintech, Artificial Intelligence, and Cybersecurity. He serves as a reviewer for major conferences like IEEE Life Members Conference and iLRN, and has presented at 25+ international events. His work focuses on applying AI and deep learning to financial systems, with an emphasis on risk analytics, fraud detection, and ethical AI deployment.
Title of the Speech: Deep Learning in Fintech: Transforming Risk and Fraud Detection
Abstract: This talk explores how deep learning is revolutionizing risk assessment and fraud detection in financial services. From neural networks identifying anomalous transactions in real time to AI models predicting credit risk with high accuracy, fintech is entering a new era of intelligent automation. We’ll examine real-world use cases, challenges with explainability, and how to integrate these models securely into financial workflows. The session also highlights regulatory implications and the future of AI governance in risk analytics.
Key words: AI in finance, deep learning, fraud detection, credit risk analytics, anomaly detection, explainable AI.
Dr. R. Anitha
Professor & Head, Department of Computer Science and Engineering Sri Venkateswara College of Engineering, Chennai, India
Dr. R. Anitha has over 25 years of experience, including 10 years post-Ph.D. from Anna University, Guindy. She has guided nine Ph.D. scholars and led her department to achieve NBA accreditation three times consecutively. She has secured ₹40 Lakhs in research funding from DST and AICTE and holds five patents, two granted under IPR.
Her research focuses on cloud computing and data analytics. Dr. Anitha has presented internationally, including a CSIR-funded visit to the University of Washington, Seattle, and completed a recent Global Immersion Program in Malaysia.
Title of Speech: Cloud-Edge AI and Tiny ML: Bringing Deep Learning to Resource-Constrained Environments
Dr. S. Dinesh Babu
Professor Amrita Vishwa Vidyapeetham, India
Dr. Dinesh Babu is a distinguished academic and researcher in media and communication, with a Ph.D. in Animation Studies and over a decade of teaching and research experience. He is actively involved with international bodies such as UNESCO’s MIL Cities Network and the AI4Media Global Research Association. A frequent keynote speaker and panellist, he is widely recognized for his interdisciplinary expertise bridging AI, media, and communication. His work strongly focuses on technology-driven education, environmental awareness, and inclusive digital transformation.
Keynote Title: Humanizing AI: Rethinking Communication, Culture, and Cognition in the Age of Deep Learning
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