Enterprise Digital Transformation

Dr. Sathyan Munirathinam is working as a Cloud Solution Architect Manager for ASML Corporation. He is responsible for developing a cloud strategy and roadmap for addressing dynamic cloud solutions as well as works on machine learning, deep learning, and IoT issues. He has a PhD in Machine Learning and more than 20 years of experience in working with business intelligence and 15 years of experience in manufacturing. His research interests include artificial intelligence, equipment health monitoring, IoT and big data analysis, statistical machine learning and data mining, ubiquitous computing, and human computer interaction. He holds a Master of Science from Illinois Institute of Technology and is a Certified Business Intelligence Professional.Dr. Peter Augustine has been working as an Associate Professor in the Department of Computer Science, CHRIST University, Bangalore. He has a PhD in Medical Image Processing in Cloud Environment, with more than eight years of experience in cloud computing and five years in Big Data Analytics. He has collaborated with St. John’s Medical Research Institute in a research project to diagnose lung diseases using cutting-edge AI and Machine Learning. His research interests include artificial intelligence, IoT and big data analysis in the area of healthcare, data mining, and human computer interaction.Dr. Pethuru Raj has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore. He previously worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), IBM India Bangalore for four years. Prior to that, he had a long stint as TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division. He has also worked as a lead architect in the corporate research division of Robert Bosch, Bangalore. In total, he has gained more than 17 years of IT industry experience and eight years of research experience.

• 1. Get Technology to Contribute to Business Strategy 2. Introduction to Computer Vision 3. Essentials of the Internet of Things (IoT) 4. The Internet of Things Architectures and Use Cases 5. Challenges of Introducing Artificial Intelligence (AI) in Industrial Settings 6. Blockchain-Based Circular Fused Encryption 7. Security Challenges and Attacks in MANET: IoT System 8. Machine and Deep Learning (ML/DL) Algorithms for Next-Generation Healthcare Applications 9. A Review of Neuromorphic Computing: A Promising Approach for IoT-Based Smart Manufacturing 10. Text Summarization for Automatic Grading of Descriptive Assignments: A Hybrid Approach 11. Building Autonomous IIoT Networks using Energy Harvesters 12. An Interactive TUDIG Application for Tumor Detection in MRI Brain Images Using Cascaded CNN with LBP Features 13. Virtual Reality in Medical Training, Patient Rehabilitation, and Psychotherapy: Applications and Future Trends 14. Complexity Measures of Machine Learning Algorithms for Anticipating the Success Rate of IVF Process 15. Commuter Traffic Congestion Control Evasion in IoT-Based VANET Environment 16. Dyad Deep Learning-Based Geometry and Color Attributes Codecs for 3D Airborne LiDAR Point Clouds 17. Digital Enterprise Software Productivity Metrics and Their Business Impacts Using Machine Learning