Sachin Kumar

About

Sachin Kumar completed Ph.D. in computer science and is currently working as a professor of computer science and dean of research & development at Galgotias College of Engineering & Technology, India. With over 24 years of academic experience, he has published 50+ SCIE papers in leading journals, including manuscripts in IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics, ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Computational Social Systems, and IEEE Transactions on Consumer Electronics. He is recognized in the Stanford Top 2% Scientists. He serves as a guest/lead guest editor for reputed journals such as IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Consumer Electronics and has completed over 300 SCI/WoS peer reviews. His research area includes AI, cybersecurity, and federated learning.

Employment

• Galgotias College of Engineering & Technology Professor
  2023 - Present
• Ajay Kumar Garg Engineering College Professor
  2011 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (78)

• Privacy-Preserving Explainable Knowledge Distillation for Pathological Diagnosis on Consumer Healthcare Devices
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3676751
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• Efficient and Privacy-Enhanced Asynchronous Federated Learning for Multimedia Data in Edge-Based IoT
  ACM Transactions on Multimedia Computing, Communications, and Applications 2026 DOI: 10.1145/3688002
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• A sustainable urban optimization framework driven by a large language model based on multi-party trusted collaboration
  Applied Soft Computing 2026 DOI: 10.1016/j.asoc.2025.114255
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• Sustainable Edge Deployment of Consumer-Centric Digital Twins for Healthcare 5.0: A Resource-Efficient Optimization Framework
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3669402
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• Toward Secure Zero-Touch e-Health Systems: Quantum Cryptography for Medical IoT
  IEEE Internet of Things Magazine 2026 DOI: 10.1109/MIOT.2026.3722177
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• Federated Learning Intersection Vehicle Trajectory Prediction Scheme Within Digital Twin
  IEEE Transactions on Intelligent Transportation Systems 2026 DOI: 10.1109/TITS.2025.3573999
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• Multigraph Neural Networks for Social-Aware Session-Based Recommendation in Large-Scale Dynamic Social Computing Environments
  IEEE Transactions on Computational Social Systems 2025 DOI: 10.1109/TCSS.2024.3506633
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• Anomaly Detection Through Outsourced Revocable Identity-Based Signcryption With Equality Test for Sensitive Data in Consumer IoT Environments
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2024.3460753
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• Advancing explainability of adversarial trained Convolutional Neural Networks for robust engineering applications
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2024.109681
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• Federated Learning With Local Differential Privacy for Autonomous Electronic Vehicles: Enhancing Security and Performance
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3551511
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