Seshadri Mohan Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
University of Arkansas at Little Rock
faculty
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Biography and Research Information
OverviewAI-generated summary
Seshadri Mohan is a professor in the Systems Engineering Department at the University of Arkansas at Little Rock. He previously served as the Chair of the Systems Engineering Department from August 2004 to June 2013.
Mohan's industry background includes roles as Chief Technology Officer (CTO) for Comverse, IP SerVoniX, and Telsima. He also held positions at Telcordia and Bell Laboratories. Prior to these roles, he was an associate professor at Clarkson and Wayne State Universities. His academic work has resulted in over 150 publications, including books, patents, and journal and conference papers. His publications have been cited more than 3,800 times, and he holds an h-index of 21.
His current research interests include blockchain applications in digital forensics for connected vehicles, the Internet of Medical Things for secure patient care, AI-driven smart health monitoring systems, and AI and green network architectures for autonomous vehicles. He has also investigated credit card fraud detection using deep learning for IoT-enabled financial systems and machine learning for real-time vehicle-to-vehicle communication to detect driver drowsiness. His research also extends to the efficiency of functionalized zinc oxide in composite materials for industrial applications.
Metrics
- h-index: 21
- Publications: 153
- Citations: 3,868
Selected Publications
- Blockchain-Based Security and Privacy in Digital Healthcare Recommender Systems (2025) DOI
- List of contributors (2025) DOI
- Artificial intelligence and optimized computational modelling against climate crisis (2025) DOI
- Spectral Sampling and Signal Decomposition (SSSD) for Improved Spectral Efficiency (2024) DOI
- Generative Artificial Intelligence-Enabled Climate Change and Deep-Sea Food Webs (2024) DOI
- Credit Card Fraud Detection Using Deep Learning for Internet-of-Things Enabled Smart Digital Financial System (2024) DOI
- Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio (2024) DOI
- Industry 4.0 Internet of Medical Things Enabled Cost Effective Secure Smart Patient Care Medicine Pouch (2023) DOI
- Cyclotomic Construction of Sparse Code Multiple Access With Improved Diversity (2022) DOI
- Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles (2022) DOI
- Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes (2022) DOI
- Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes (2022) DOI
- PEAK-TO-AVERAGE POWER RATIO (PAPR) REDUCTION IN MULTIPLE-INPUT MULTIPLE OUTPUT (MIMO) WITH ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (OFDM) SYSTEMS: A REVIEW (2021) DOI
- Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers (2021) DOI
- 5G System Design Solutions for Wireless Personal Applications (2021) DOI
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