Seshadri Mohan
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Marche Polytechnic University (2002); Madurai Kamaraj University (2024); Motorola (United States) (2004); Clarkson University (1985–2003); Clarkson College (1984); American College, Madurai (2024); University of Illinois Chicago (2004); Core Competence (1991–2003); Division of Computer and Network Systems (2001); Mavenir (Israel) (2000–2003); Space Photonics (United States) (2008); JK Fenner (India) (2024); University of Houston (2002); McMaster University (1980–1994)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Seshadri Mohan's research focuses on the intersection of artificial intelligence, the Internet of Things (IoT), and various application domains, including connected vehicles, healthcare, and financial systems. He has investigated the use of AI and machine learning for tasks such as detecting driver drowsiness in real-time for vehicle-to-vehicle communication and for credit card fraud detection within IoT-enabled financial systems. His work also explores the integration of AI and green network architectures for autonomous connected vehicles and the application of IoT in developing secure and cost-effective smart patient care systems.
Mohan's academic background includes a professorship in the Systems Engineering Department at the University of Arkansas at Little Rock, where he previously served as Department Chair. His extensive industry experience spans roles as Chief Technology Officer (CTO) for several technology firms, including Comverse and IP SerVoniX, and significant tenures at Telcordia and Bell Laboratories. He has authored or co-authored over 150 publications, including books and patents, and his work has been cited more than 3,890 times, with an h-index of 21.
His research group collaborates with faculty within the University of Arkansas at Little Rock, including Sayon Karmakar and Hussein Al-Hamdani, on shared publications. Mohan's recent publications address topics such as blockchain-enabled digital forensics for autonomous vehicles, AI in smart health monitoring, and the evaluation of material properties for industrial applications.
Metrics
- h-index: 21
- Publications: 155
- Citations: 3,912
Selected Publications
-
Challenges in artificial intelligence driven robotic surgery (2026)
-
Blockchain-Based Security and Privacy in Digital Healthcare Recommender Systems (2025)
-
List of contributors (2025)
-
Artificial intelligence and optimized computational modelling against climate crisis (2025)
-
Spectral Sampling and Signal Decomposition (SSSD) for Improved Spectral Efficiency (2024)
-
Generative Artificial Intelligence-Enabled Climate Change and Deep-Sea Food Webs (2024)
-
Credit Card Fraud Detection Using Deep Learning for Internet-of-Things Enabled Smart Digital Financial System (2024)
-
Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio (2024)
-
Industry 4.0 Internet of Medical Things Enabled Cost Effective Secure Smart Patient Care Medicine Pouch (2023)
-
Cyclotomic Construction of Sparse Code Multiple Access With Improved Diversity (2022)
-
Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles (2022)
-
Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes (2022)
-
Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes (2022)
-
WWRF46: Reconfigurable Intelligent Surfaces (RIS) For V2V Communications (2021)
-
WWRF46: Reconfigurable Intelligent Surfaces (RIS) For V2V Communications (2021)
Collaboration Network
Top Collaborators
- Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles
- Industry 4.0 Internet of Medical Things Enabled Cost Effective Secure Smart Patient Care Medicine Pouch
- Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio
- Credit Card Fraud Detection Using Deep Learning for Internet-of-Things Enabled Smart Digital Financial System
- Artificial intelligence and optimized computational modelling against climate crisis
Showing 5 of 7 shared publications
- Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles
- Artificial intelligence and optimized computational modelling against climate crisis
- Generative Artificial Intelligence-Enabled Climate Change and Deep-Sea Food Webs
- Blockchain-Based Security and Privacy in Digital Healthcare Recommender Systems
- List of contributors
- Monitoring Biomarkers of Drivers with Medical Wireless Sensor Networks Deployed in Connected Vehicles
- An IoT-based System with Machine Learning for Detecting Drowsiness of Drivers
- Machine Learning-Based Imaging in Connected Vehicles Environment
- A Low Complexity Non-Distortion Clipping Technique PAPR Reduction of MIMO-OFDM Systems
- PEAK-TO-AVERAGE POWER RATIO (PAPR) REDUCTION IN MULTIPLE-INPUT MULTIPLE OUTPUT (MIMO) WITH ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (OFDM) SYSTEMS: A REVIEW
- Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes
- Cyclotomic Construction of Sparse Code Multiple Access With Improved Diversity
- Strongly Connected Ramanujan Graphs for Highly Symmetric LDPC Codes
- Cyclotomic Construction of Sparse Code Multiple Access With Improved Diversity
- Internet-of-Things Enabled Smart Health Monitoring System Using AutoAI: A Graphical Tool of IBM Watson Studio
- Credit Card Fraud Detection Using Deep Learning for Internet-of-Things Enabled Smart Digital Financial System
- WWRF46: Reconfigurable Intelligent Surfaces (RIS) For V2V Communications
- WWRF46: Reconfigurable Intelligent Surfaces (RIS) For V2V Communications
- Securing the Physical Layer in the OFDM-Based Internet of Things (IoT) by Using Frequency Hopping Technique
- 5G System Design Solutions for Wireless Personal Applications
- 5G System Design Solutions for Wireless Personal Applications
- Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers
- PEAK-TO-AVERAGE POWER RATIO (PAPR) REDUCTION IN MULTIPLE-INPUT MULTIPLE OUTPUT (MIMO) WITH ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING (OFDM) SYSTEMS: A REVIEW
- Industry 4.0 Internet of Medical Things Enabled Cost Effective Secure Smart Patient Care Medicine Pouch
- Industry 4.0 Internet of Medical Things Enabled Cost Effective Secure Smart Patient Care Medicine Pouch
Similar Researchers
Based on overlapping research topics