Satyajee Srivastava

Maharishi Markandeshwar University, Mullana

Papers

Total Citations

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About

Satyajee Srivastava is a rising researcher at the forefront of intelligent systems and affective computing. His work primarily focuses on two transformative domains: optimizing resource allocation in the Internet of Things (IoT) and advancing machine perception through facial emotion recognition. In his highly cited 2024 paper, "Ubiquitous Intelligent Machine Learning Resource Allocation System in IoT," Srivastava pioneered a framework that leverages machine learning to dynamically manage and allocate resources across interconnected IoT devices. This work is critical for enabling scalable, efficient, and autonomous IoT ecosystems, particularly for prebuilt software-as-a-service applications. Building on this, his 2025 study, "Advanced Facial Emotion Recognition Using DCNN-ELM," introduces a novel hybrid architecture combining Deep Convolutional Neural Networks with Extreme Learning Machines. By addressing key challenges in preprocessing and feature extraction, Srivastava’s model achieves superior accuracy in decoding the 55% of emotional communication conveyed through facial expressions. Though early in his career, his contributions have already garnered attention, with his IoT paper accumulating 6 citations and his emotion recognition work marking a significant step toward more empathetic human-computer interaction. Srivastava’s research promises to make technology both smarter and more human-aware.