About
I am Adwitiya Mukhopadhyay, an academician and researcher with deep expertise in cybersecurity, intelligent healthcare systems, IoT-driven applications, and AI-based predictive analytics. Over the years, I have actively contributed to both cutting-edge research and innovative teaching methodologies with the aim of bridging the gap between academic theory and practical implementation.
With a career spanning interdisciplinary domains, I have worked extensively on multi-criteria adaptive hospital resource management systems, wearable health monitoring technologies, and next-generation network security solutions. My academic journey has been driven by a strong belief in using technology to create resilient, scalable, and intelligent systems that address pressing real-world challenges. This includes my PhD work on "Multi-Criteria based Adaptive Hospital Resource Management for Mobile Emergency Patients", where I developed a comprehensive risk-scoring framework and wearable-device-based monitoring algorithms for intelligent decision-making in emergency healthcare environments.
Employment
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Amrita Vishwa Vidyapeetham Chairperson2009 - Present
Education
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Bishop Heber College2005 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus Save
- A QoS-Aware IoT Edge Network for Mobile Telemedicine Enabling In-Transit Monitoring of Emergency Patients Save
- A smart-contract-based blockchain for a healthcare iot network Save
- An IoT and Smartphone-Based Real-Time Analysis on Pulse Rate and Spo2 using Fog-to-cloud Architecture Save
- EDITH - A robust framework for prevention of cyber attacks in the covid era Save
- Transmission of multimedia data in underwater terrain using acoustic waves Save
- EHealth Applications: A Comprehensive Approach Save
- FANET based Emergency Healthcare Data Dissemination Save
- Network Performance Testing: A Multi Scenario Contemplate Save
- Transmission of Multimedia Data in Opportunistic Networks Save