Thirusubramanian Ganesan

About

I am a Senior Software Engineer with over 17 years of experience in full-stack development, cloud technologies, and database management. My primary expertise lies in Microsoft technologies, .NET frameworks, Google Cloud Platform, SQL Server, and SAP Business Objects Crystal Reports. I have led multiple enterprise-grade application development and migration projects across sectors such as financial services, insurance, and real estate technologies.

I began my professional journey in 2004 and have been with Cognizant Technology Solutions since 2010, contributing to system design, application development, performance optimization, and production support for U.S.-based clients. I actively lead offshore development teams, provide technical mentorship, and drive architectural improvements. I hold a Master’s degree in Computer Applications and am a certified Google Cloud Professional Cloud Architect.

My research interests include enterprise application modernization, cloud migration strategies, and automation frameworks to enhance operational efficiency. I am committed to continuous learning and delivering innovative software solutions that align with evolving industry needs.

Employment

• Cognizant Technology Solutions Senior Software Engineer
  2010 - Present
• Tata Consultancy Services Assistant Systems Engineer
  2006 - 2010
• Allsec Technologies Ltd Senior Programmer
  2005 - 2006
• Tienet Technologies Programmer
  2004 - 2005

Education

• Adhiparasakthi College of Science, Madras University Master of Computer Applications (MCA)
  2001 - 2004
• Sri Sankara Arts and Science College, Madras University Bachelor of Science in Electronic Science
  1998 - 2001

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• Federated Learning for Privacy-Preserving Deep Learning in IoT Networks FedProx Optimization and Its Impact on Heterogeneity and Efficiency
  2026 DOI: 10.4018/979-8-3373-8187-9.ch011
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• Distributed Intelligence in IoHT Using Federated Learning and Edge AI for Chronic Kidney Disease Prediction Using ReLU and Bi-directional GRU with Feature-Wise Dropout and Fuzzy Neural Network
  International Journal of Pattern Recognition and Artificial Intelligence 2025 DOI: 10.1142/s0218001425520093
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• Zero Trust Security Model with Cloud Computing for Enhancing Automotive Supply Chain Data Security and Business Intelligence in Industry 4.0
  International Journal of Engineering, Management and Humanities (IJEMH) 2025
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• Towards Time-Critical Healthcare Systems Leveraging IoT Data Transmission, Fog Resource Optimization, and Cloud Integration for Enhanced Remote Patient Monitoring
  International Journal of Engineering Research and Science & Technology 2025
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• Performance Analysis of Genetic Algorithms, Monte Carlo Methods, and Markov Models for Cloud-Based Scientific Computing
  International Journal of Applied Science Engineering and Management 2025
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• Optimizing E-Commerce Fund Transfers with Gradient Boosted Decision Trees (GBDT), Markov Decision Processes (MDPs), and Serverless Computing for Biometric Security
  International Journal of Information Technology and Computer Engineering 2025
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• Oblivious RAM (ORAM) for Secure EHR Systems: Preserving Access Pattern Privacy in Cloud-Based Healthcare
  Journal of Current Science 2025
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• Lightweight AI for Smart Home Security: IoT Sensor-Based Automated Botnet Detection
  International Journal of Engineering Research and Science & Technology (IJERST) 2025
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• Integrating IoT, Fog, and Cloud Computing for Real-Time ECG Monitoring and Scalable Healthcare Systems Using Machine Learning-Driven Signal Processing Techniques
  International Journal of Information Technology & Computer Engineering 2025
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• Hybrid CNN-GRU Network with Edge Computing for Efficient Malware Detection in IIoT
  International Journal of Science and Engineering Applications (IJSEA) 2025
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