I've authored 25 computer science books, including Database Management Systems, Computer Concepts, and C Programming, in addition to Java and Python programming. In India, I own 5 Indian patents, and over the years, I've published numerous research papers in journals. I have 6 industrial certifications in total. I was the head of the school of computing at the Institute of Business Studies in Papua New Guinea from February 2012 until February 2013. My Lawrence School team was selected to represent INDIA at the 2010 World Robot Olympiad. Currently employed as a Senior Lecturer in Information Technology at the University of Technology and Applied Sciences, Salalah in Oman.
Artificial Intelligence Integration in Assessment and Teaching: A Quantitative Analysis of Stakeholder Perception Differences Suresh Palarimath, Upendra Kumar International Journal of Drug Delivery Technology, 2026 Artificial Intelligence (AI) is fundamentally altering university education, challenging established teaching and assessment methods. This study investigates the perceptions of university students and professors regarding AI's utility, impact on learning, and ethical implications. Employing a quantitative design based on secondary data analysis of anonymized datasets from the 2024–2025 academic year, this research analyzed responses from 635 participants (496 students and 139 professors). Six key competencies were examined to identify trends and perception gaps. Both groups expressed skepticism regarding AI’s current value in teaching, with 68.2% of students and 74.1% of professors rating its utility as low. A critical divergence emerged in ethical trust: 82.1% of students reported high confidence in AI systems, whereas only 21.6% of professors shared this sentiment, highlighting a distinct generational divide in risk perception. Although students demonstrate a high willingness to adopt AI, they appear to underestimate the ethical risks that concern faculty. To bridge this gap, higher education institutions must urgently implement comprehensive AI literacy training and governance frameworks to ensure responsible and effective integration.
Contextual Sentiment Analysis using Transformer- Based Models Pyingkodi M, Dharanisri P, Jeeva Dharshini K, Suresh Palarimath, Pooja E, Rohini Devi T P Proceedings of 4th International Conference on Electronics and Renewable Systems Icears 2026, 2026
Analysing Cyber Attacks on Personal Data and Mitigation Using AI-Driven Techniques Venkateswaran Radhakrishnan, Suresh Palarimath, Mohamed Ashik, Mohammed Al Mahri, Chithik Raja Mohamed, S Baghavathi Priya Proceedings of 2nd International Conference on Multi Agent Systems for Collaborative Intelligence Icmsci 2026, 2026 The frequency and complexity of cyber attacks directed at individuals have increased alarmingly with dire consequences to sensitive personal information, financial resources, and online personas. As attackers refine their tactics, leaving them unstable, conventional ameliorative measures tend to be ineffective in managing such risks. Artificial Intelligence (AI) and Machine Learning (ML) are proving to be crucial in improving cybersecurity allowing for proactive and extremely dynamic measures that help monitor and thwart malicious acts at any time. This paper reveals the nature of cyber attacks on individuals and discusses major types of attacks such as phishing, identity theft, ransomware, and social engineering. It also describes in detail the AI and ML techniques aimed at combating these types of attacks such as supervised learning, unsupervised learning, deep learning, and natural language processing. This survey assesses the implications of the relative strength, weaknesses and effectiveness of the approaches on individuals in the context of the prospects of future cyber security tools.
Breast Cancer Detection Using New Ensemble Classifier Based on Deep Learning Methods Suresh Palarimath 2nd International Conference on Intelligent Systems for Cybersecurity Iscs 2025, 2025 Breast cancer is still one of the most common and the deadliest cancers in the world for women. Early detection and prompt diagnosis are essential to improve patients’ survival rates. In this paper, a three-layer ensemble classification model is proposed for diagnosis of breast cancer, which fuses CNN with classical machine learning classifiers for better diagnostic accuracy. The proposed structure contains the CNN to obtain deep features and a cluster head which includes some metaclassifiers, i.e., Random Forest, SVM, K-NN, in the second layer and a high-level decision tree ensemble in the last layer to make the final prediction. Experiments with the “Wisconsin Breast Cancer Diagnostic (WBCD)” dataset showed that the model (CNN + Random Forest) performs better, with an accuracy of 96% and a recall of 0.91 for malignant cases. Compared with the existing models, through comparative analysis, the proposed method shows great advantage and competitiveness in terms of robustness and reliability of classification. Such a multilayered framework holds a great potential for the AIaugmented breast cancer diagnosis, as it can be deployed conveniently in clinical practice.
Systematic Review of Big Data Applications for Sustainable Smart Campuses: Trends, Technologies, and Impact Metrics Suresh Palarimath, Balaji Dhanasekaran, Senthil Kumar, Abhishek Dubey 2025 6th International Conference on Big Data Analytics and Practices Ibdap 2025, 2025 This article explores how big data and artificial intelligence (AI) can be used on university campuses to facilitate sustainability. Through the analysis of these case studies from the Massachusetts Institute of Technology (MIT), Nanyang Technological University (NTU) Singapore, and the Indian Institute of Technology (IIT) Madras, we extract successful applications that improve energy efficiency, lower greenhouse gas emissions, and create behavioral changes in students and staff. The results show that real-time data analytics and AI-driven predictive models enable universities to effectively determine resource demands and transition towards more sustainable practices. But problems like the complexity in data management, lack of skilled manpower, high capital investment & resistance are the hindrances in the implementation of these technologies. Furthermore, moral and ethical issues of data privacy and compliance with laws are also obstacles to the implementation. This study underscores the need for universities to pursue holistic solutions to these challenges, including promoting interdisciplinary collaborations and providing training opportunities to elevate the data literacy of the academy. Opportunities for future research include building on the development of Big Data capabilities, increasing engagement through personalized sustainability programs and developing benchmarks to assess the impact of sustainability activities. In summary, this research highlights the huge opportunities to transform universities by integrating big data and AI to meet sustainability goals and for commitment to continued investment and innovation to overcome current limitations so that the benefits of sustainable campus management can be reached.
Sentiment Analysis of Guardian Metaverse Articles With Leximancer Tool Using HSVMPSo Technique S. Sasikumar, G. Ravishankar, P. Poongothai, Suresh Palarimath Innovations in Optimization and Machine Learning, 2025 The gathering of tweets from before and after the companies' involvement in the metaverse allowed for the investigation of how potential users perceived their involvement. The numerous applications of metaverse technology are attracting the attention of experts and researchers. It serves as an immersive virtual environment that encourages user social interaction. However, we don't know how customers feel about this technology, particularly how positive they view it. To evaluate the chosen dataset from the Kaggle website, the hybrid particle swarm optimization with support vector machine (HPSOSVM) approach was also employed. The suggested HPSOSVM outperforms the other classifiers, according to the results. Features may be extracted using the HPSOSVM with an accuracy of 90.12%. The outcomes demonstrate that ensemble classifiers outperform individual classifiers in terms of accuracy. Being relatively new phenomena, there are many opportunities to reorient the Metaverse on humanist values instead of specialized interests.
Smart Campus, Smarter Students: Enhancing Learning Outcomes through AI-IoT-Enabled Sustainable Spaces Suresh Palarimath, Balaji Dhanasekaran, Senthil Kumar, Abhishek Dubey Proceedings 2025 10th International Stem Education Conference Istem Ed 2025, 2025 The AI-IoT-Enabled Smart Campus Framework (AISCF) is proposed in this paper as a theoretical framework to facilitate the adoption of artificial intelligence (AI) and internet of things (IoT) technologies in higher education for improving learning outcomes, operational capability, and sustainability. The framework was evaluated in three scenarios: adaptive learning in smart classrooms, monitoring student engagement and welfare, and energy-space optimization. Results demonstrate that the AISCF efficiently provides personalized learning support, manages the usage of resources, and creates proactive support systems for students. Good insights are grounded on the fact that 4-tier heterogenous architecture of sensing AI analytics application logic and sustainability governance can convert traditional campuses into smart educational ecosystems. Insights for institutions aspiring to implement smart campus solutions were that validation reinforced the core values of systems interoperability, ethical data use and modular scalability. Future work will consider deploying the AISCF in practice to collect empirical performance metrics, to improve privacy-preserving data architectures, and to investigate how it can be combined with new emerging technologies such as synthetic and generative AI, edge computing, and digital twins. This foundation enables future innovations which can advance the intelligence and responsiveness of smart campuses and hence provide more engaging and supportive learning spaces.
Sensor Based Smart Agriculture with IoT Technologies: A Review M. Pyingkodi, K. Thenmozhi, K. Nanthini, M. Karthikeyan, Suresh Palarimath, V. Erajavignesh, G.Bala Ajith Kumar 2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022
Barrier-Free Routes in a Geographic Information System for Mobility Impaired People Bernard H. Ugalde, Renato R. Maaliw, Suresh Palarimath, Mohammed Bakhit Al Mahri, Albert A. Vinluan, Jennifer T. Carpio, Ace C. Lagman, Maurine C. Panergo 2022 IEEE 13th Annual Ubiquitous Computing Electronics and Mobile Communication Conference Uemcon 2022, 2022
RECENT SCHOLAR PUBLICATIONS
AI-Powered Evolution: Unveiling the Nexus of Artificial Intelligence and Computer Networks S Palarimath, P Maran, K Thenmozhi, C Balakumar, T Sujatha, ... International Conference on Deep Sciences for Computing and Communications … , 2026 2026
Posthuman Reasoning in the Age of Generative AI: Decentralizing Cognition, Logic and the Authority of the Human Mind. S Palarimath, A Kr, RR Reddy, PP Mohapatra Advances in Consumer Research 3 (5), 113-118 , 2026 2026
Bridging the Gap: Defining the Problem Space for AI-Driven Personalized Learning in Global Education S Palarimath, U Kumar Sustainable Global Societies Initiative 1 (2) , 2026 2026
Predictive Healthcare Analytics Using Machine Learning for Early Risk Detection in Chronic Disease Management S Palarimath, S Kushwaha, B Kumar, M Geetha, M Kumari International Journal of Drug Delivery Technology 16 (32s), 938-945 , 2026 2026
Advancing Real-Time Object Detection: YOLOv8 and its Novel Approaches to Small Object Challenges S Palarimath, V Veeraragavan, LA Isabella 2026 3rd International Conference on Research Methodologies in Knowledge … , 2026 2026
AI-DRIVEN ORGANIZATIONAL CHANGE: STRATEGIC TRANSFORMATION MODELS FOR SUSTAINABLE COMPETITIVE ADVANTAGE S Palarimath, K Terala, RK Kadu, JS Nizamudeen Advanced Engineering Science 58 (01), 1440-1450 , 2026 2026
AI-Driven Helmet Detection in Construction Zones: A YOLOv8X Approach for Sustainable Safety Monitoring MC Raja, MM Al-Mahr, W Haidar, S Palarimath 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), 1-7 , 2026 2026
Contextual Sentiment Analysis using Transformer-Based Models M Pyingkodi, P Dharanisri, K Jeeva Dharshini, S Palarimath, E Pooja, ... 2026 International Conference on Electronics and Renewable Systems (ICEARS … , 2026 2026
Analysing Cyber Attacks on Personal Data and Mitigation Using AI-Driven Techniques V Radhakrishnan, S Palarimath, M Ashik, M Al Mahri, CR Mohamed, ... 2026 Second International Conference on Multi-Agent Systems for … , 2026 2026
Breast Cancer Detection Using New Ensemble Classifier Based on Deep Learning Methods S Palarimath 2025 2nd International Conference on Intelligent Systems for Cybersecurity … , 2026 2026
Smart Decision Support Systems Powered by AI for Strategic Resource Allocation in Renewable Energy Engineering Projects S Palarimath, SJM Jasper, N Tamilarasi, P Kohila, K Arthi Advances in Consumer Research 3 (2), 413-418 , 2026 2026
Inflation Volatility and Economic Expansion in Emerging Economies: Evidence from the Global Recovery PhaseInflation Volatility and Economic Expansion in Emerging Economies … X Naveenraj, S Palarimath, BIYA Neha Rajput, S V MSW Management Journal 36 (2s), 94-96 , 2026 2026
Artificial Intelligence Integration in Assessment and Teaching: A Quantitative Analysis of Stakeholder Perception Differences S Palarimath, U Kumar International Journal of Drug Delivery Technology 16 (13s), 1062-1073 , 2026 2026
Machine Learning-Enabled Rupture Risk Prediction in Aortic Aneurysms Using Imaging Biomarkers and Clinical Profiles. S Palarimath, GV Kumari, M Kamarajan, S Kothari Advances in Consumer Research 3 (1), 885-892 , 2026 2026
AI-Enhanced Hemodynamic Modelling for Predicting Post-Endovascular Complications in Complex Aneurysm Repairs S Palarimath, M A, T Ravichandran, MH Rajyaguru, A Salim European Journal of Clinical Pharmacy 7 (1), 3684-3692 , 2025 2025
Deep Learning for the Deep Blue: A Systematic Review of AI in Marine and Freshwater Biodiversity Monitoring S Palarimath FishTaxa-Journal of Fish Taxonomy 36 (1s), 311-325 , 2025 2025
Unmasking Cryptic Diversity: Automated Species Discrimination in the Genus Raja using Deep Learning and Geometric Morphometrics S Palarimath FishTaxa-Journal of Fish Taxonomy 36 (1s), 326-340 , 2025 2025
Algorithmic Rationality And Cultural Meaning: A Philosophical Inquiry Into AI-Driven Decision-Making S Palarimath, E Noble Kennedy, BS Kumar, MS Mohanan, ... Cultura: International Journal of Philosophy of Culture and Axiology 22 (11s … , 2025 2025
HOMOMORPHIC ENCRYPTION AND ALGEBRAIC GEOMETRY FOR PRIVACY-PRESERVING MACHINE LEARNING M Patel, S Palarimath International Journal of Applied Mathematics 38 (10s), 1082-1094 , 2025 2025
APPLICATIONS OF FRACTIONAL CALCULUS IN AI-BASED IMAGE RECOGNITION NT Gurram, S Palarimath International Journal of Applied Mathematics 38 (11s), 2507-2517 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Incorporating artificial intelligence powered immersive realities to improve learning using virtual reality (VR) and augmented reality (AR) technology JSG Al Balushi, MIA Al Jabri, S Palarimath, P Maran, K Thenmozhi, ... 2024 3rd International Conference on Applied Artificial Intelligence and … , 2024 2024 Citations: 77
Sensor based smart agriculture with IoT technologies: a review M Pyingkodi, K Thenmozhi, K Nanthini, M Karthikeyan, S Palarimath, ... 2022 international conference on computer communication and informatics … , 2022 2022 Citations: 73
IoT based soil nutrients analysis and monitoring system for smart agriculture M Pyingkodi, K Thenmozhi, M Karthikeyan, T Kalpana, S Palarimath, ... 2022 3rd International Conference on Electronics and Sustainable … , 2022 2022 Citations: 49
A robust authentication and authorization system powered by deep learning and incorporating hand signals S Palarimath, NRW Blessing, T Sujatha, M Pyingkodi, BH Ugalde, ... Intelligent Data Communication Technologies and Internet of Things … , 2022 2022 Citations: 20
Advancing brain image segmentation: Enhanced vgg16 architecture VS Kumari, NRW Blessing, S Palarimath, H Gunasekaran, ... International Conference on Computing and Data Analytics (ICCDA). IEEE , 2024 2024 Citations: 17
Barrier-free routes in a geographic information system for mobility impaired people BH Ugalde, RR Maaliw, S Palarimath, MB Al Mahri, AA Vinluan, JT Carpio, ... 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile … , 2022 2022 Citations: 14
Powering IoT systems with 5g wireless communication: A comprehensive review S Palarimath, M Pyingkodi, K Thenmozhi, M Maqsood, MA Salam, ... 2023 8th international conference on communication and electronics systems … , 2023 2023 Citations: 13
Intelligent data communication technologies and Internet of things: Proceedings of ICICI 2021 DJ Hemanth, Palarimath Suresh, D Pelusi, ... Springer Singapore , 2022 2022 Citations: 12
Transforming computer practice teaching through virtual reality: Trends and future directions J Balushi, S Palarimath, CR Mohamed, MI Ahmed Al Jabri, ... Int. J. Innov. Res. Comput. Sci. Technol 12 (5), 117-126 , 2024 2024 Citations: 10
Exploring sensor-based smart farming technologies in the internet of things (IoT) S Palarimath, P Maran, K Thenmozhi, C Balakumar, T Sujatha, ... 2024 international conference on computing and data science (ICCDS), 1-6 , 2024 2024 Citations: 10
Integrating artificial intelligence and multiple intelligences for advanced educational models S Palarimath, P Maran, R Venkateswaran, WB NR, KV Shiny, S Renuga 2024 International Conference on Electrical Electronics and Computing … , 2024 2024 Citations: 9
Humanoid Robots that can be Used in the Real World S Palarimath Acta Scientific Computer Sciences 5 (1), 86-87 , 2022 2022 Citations: 7
Leveraging Internet of Things (IoT) sensors and deep learning techniques for precision agriculture WB NR, M Pyingkodi, WH SK, S Palarimath, S Paravathavarthini, ... 2024 1st International Conference on Innovative Engineering Sciences and … , 2024 2024 Citations: 6
Empowering breast cancer detection with AI: A modified support vector machine approach for improved classification accuracy S Palarimath, P Maran, KV Shiny, T Sujatha, WB NR 2024 International Conference on Expert Clouds and Applications (ICOECA … , 2024 2024 Citations: 6
Bridging AI and quantum computing in decentralized networks leveraging artificial intelligence for entanglement distribution in quantum networks S Palarimath, D Chaudhary, KT Shivaram, A Kumar, J Vijay Quantum networks and their applications in AI, 59-79 , 2024 2024 Citations: 4
Performance and Improvement of Linguistic Data Analysis on Different Languages Using Deep Learnedness Techniques V Radhakrishnan, A Srinivasulu, S Palarimath, R Gutierrez International Journal of Innovative Research in Computer Science and … , 2023 2023 Citations: 4
AN INTEGRATED ARTIFICIAL NEURAL NETWORK PROTOTYPE ENABLING REAL-TIME OBJECT DETECTION USING RASPBERRY PI S Palarimath, DR Ugalde, Bernard H, Palarimath Turkish Journal of Physiotherapy and Rehabilitation 32, 3 , 2022 2022 Citations: 4
Smart Campus, Smarter Students: Enhancing Learning Outcomes through AI-IoT-Enabled Sustainable Spaces S Palarimath, B Dhanasekaran, S Kumar, A Dubey 2025 10th International STEM Education Conference (iSTEM-Ed), 1-6 , 2025 2025 Citations: 3
Exploring the Role of Internet of Things in Wireless Sensor Networks for Industry 4.0 Applications S Palarimath, P Maran, WB NR, T Sujatha, S Renuga, C RS 2024 First International Conference on Pioneering Developments in Computer … , 2024 2024 Citations: 3
Mining competitors and finding winning plans using feature scoring and ranking-based CMiner++ algorithm: finding top-K competitors T Sujatha, WB NR, S Palarimath International Journal of Intelligent Information Technologies (IJIIT) 19 (1 … , 2023 2023 Citations: 3