MUTHUPANDI G

@citchennai.edu.in

ASSISTANT PROFESSOR, DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING,
Chennai Institute of Technology

MUTHUPANDI G


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https://researchid.co/muthu1990
G.Muthupandi is pursuing PhD at anna university Chennai, He is a researcher with more than Ten years of teaching experience and expertise in the field of the Internet of Things (IoT) and Embedded Systems. Driven by a passion for innovation and a dedication to pushing the boundaries of design and technology, I am a highly accomplished inventor and researcher. My portfolio showcases a commitment to impactful solutions, evidenced by the granting of 20 design patents, reflecting a keen eye for aesthetics and functionality. Beyond design, I hold 35 published utility patents, demonstrating a deep understanding of practical problem-solving. My expertise is further validated by contributions to the academic community, including 11 publications at prestigious IEEE conferences, 3 Books, 1 Book Chapter and 2 peer-reviewed journal papers.

EDUCATION

M.E (Embedded and Real Time Systems) in Coimbatore Institute of Technology

B.E (Computer Science and Engineering) in Infant Jesus College of Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Health Information Management
23

Scopus Publications

12

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Case Study 1: Applications of AI and IoTBased Smart Cities
    G. Muthupandi, K. Jayakumar, G. Karthiyayini
    AI Based Data Mobility and Intelligent Modeling for Smart Cities, 2026
    Artificial Intelligence (AI) and the Internet of Things (IoT) are significantly changing the nature of cities due to the integration of technologies; this has created new life in cities turning them into smart, interconnected ecosystems. With increasing urban population size and the sustainability of living being a question under spotlight, AI and IoT technologies play a critical role in solving problems of traffic congestion, energy efficiency, waste management, safety, health, and the management of water. This chapter addresses the history of smart cities describing the potential of AI and Internet of Things to collect data in real time, make predictions and execute decisions to achieve greater efficiency and livability of urban environments. It presents real-life case studies, along with actual outcomes and achievements presented in the cities of Singapore, Barcelona, and Amsterdam, which demonstrate such concrete values as preserving carbon & better-developed public services.Future trends and the role of 5G, edge computing and blockchain curves are also explored in the chapter.
  • Startup Business Profit Prediction Using Machine Learning Models
    Sathika Begum Mohammad Shabi, M. Geetha, K. Vanishree, Muthupandi G, S. Pavithra
    Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026, 2026
  • AI Inference for Smart Cities Integrating IoT and Big Data
    G. Muthupandi, S. Pavithra, R. Vikram, K. Jayakumar, B. Vishnu, et al.
    Harnessing AI Inference for Intelligent Decision Making in Real Time Dataflows, 2026
    The 21 st century has increased the rate of urbanization, thus making the problems of traffic snarl up, pollution, energy crisis, improper waste disposal and heavy load on the social safety and health system more complex. The idea of the smart city became one of the new technologies that integrate Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data in order to enhance the efficiency and quality of life in cities. In particular, AI inference enables real-time decision making based on data in major sectors. The examples of successful ones are such cities as Barcelona, Amsterdam, Chicago, Singapore, Los Angeles and Seoul. Other advantages of sustainability and disadvantages like privacy, cybersecurity, cost of infrastructure, and digital inequality are also discussed in the chapter.
  • Case Studies: AI Inference Applications in IoT and Big Data Domains
    G. Muthupandi, S. Pavithra, R. Nandhakumar, P. Vidhya Lakshmi, R. Vikram, et al.
    Harnessing AI Inference for Intelligent Decision Making in Real Time Dataflows, 2026
    The paper will explore how AI inference on IoT and Big Data is transformative with respect to the health care sector, manufacturing, smart cities, energy, and agriculture. AI inference transforms sensor data into actionable intelligence through the combination of real-time data, predictive analytics, and automation, and enhances efficiency, sustainability, and reliability. Applications in predictive maintenance, smart grids, urban management and precision farming are pointed out in the discussion. The most important issues, such as the quality of data, privacy, scalability, and ethical use are discussed as well as ways of dealing with them. New tendencies such as edge computing, federated learning, explainable AI, 5G integration, and digital twins are found to be pushing the next generation of smart, connected systems. In general, the chapter stresses the importance of AI inference as a source of data-experienced innovation and as the means of developing more intelligent, sustainable, and resilient structures to climate change in the future.
  • Role of AI and IoT in Smart Farming
    G. Muthupandi, N. Rathinavel Subramanian, S. Jawagar, Angamuthu A., S. Pavithra
    Exploring Generative AI for Collaborative Robots in Agriculture 6 0, 2025
    This chapter explains how Artificial Intelligence (AI) and the Internet of Things (IoT) can change present-day farming practices through smart farming. Dealing with problems like climate change, shortage of resources and labor issues, using AI and IoT could help the agriculture sector provide secure, sustainable and efficient food supplies. This chapter describes how smart farming has advanced, focusing on how IoT devices provide real-time data and AI helps to make future decisions easier. In this chapter, examples and case studies are used to explain how artificial intelligence is changing the methods of farming, covering irrigation, monitoring crops, managing pests and boosting the supply chain. It also covers the difficulties preventing many from using it such as infrastructure, budget and data protection and suggests ways to make it available to more people. In essence, the chapter describes how the future of farming is being affected by the combination of AI and IoT.
  • A Comprehensive Framework for Nutrition Analysis and Ingredient Substitution using Machine Learning
    Hemalatha M, Muthupandi G, Pavithra S
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
    Nutrition is a core concern for public health, since it is the basic tool to prevent diseases and ensure well-being in general. However, classical methods of nutritional evaluation and selection of substitute ingredients often fail and do not support personalized nutrition plans. This paper addresses this problem by developing a framework based on machine learning techniques. It uses synthetic data and CNNs to analyze the nutritional content and recommend alternative ingredients that are healthier. The major challenge here is to ensure that the replacements maintain nutritional equivalence without sacrificing functionality or flavor. The focus of this research is to develop an automated system that determines the nutritional content of food items and provides intelligent substitution according to dietary goals such as reducing fat or increasing protein content. The methodology involved preprocessing of a synthetic dataset of food items and training of a CNN model on the task of nutritional classification with implementation of a rule-based substitution mechanism to propose substitutes. Expected outcomes include high accuracy of nutritional predictions along with meaningful substitutions that can enhance the quality of dietary. It has been found that there is an accuracy of 90.00%, balanced precision, recall, and F1 scores. Future extensions will include the following: more real-world dataset integration, reinforcement learning for substitution, and scalable deployment.
  • Technology and Community Interventions for food Security and Waste Reduction
    Arunkumar K, Muthupandi G, S. Pavithra
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
    Food waste and insecurity using a multifaceted approach that includes nutrition-focused interventions in supportive housing, culturally appropriate food programs for Indigenous communities, and mobile applications to cut down on food waste. Geographical barriers, cultural significance, and logistical inefficiency are among the major barriers. This study assesses the impacts of digital food-waste apps, targeted nutritional interventions, and Indigenous food sovereignty initiatives using a mixed-methods approach. The integration of community-based and technology-driven solutions is unprecedented. The results highlight the worth of cooperative, sustainable approaches toward improving community well-being, environmental resilience, and food access.
  • A Review of Generative AI in Recommendation Systems
    Shivaani V P, Muthupandi G, S. Pavithra
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
    Traditional machine learning algorithms have paved the way for more sophisticated models mainly in the field of Gen AI. This review compares how Gen AI is used in recommendation systems to traditional AI methods and the application of both in various fields. Generative AI has transformed the systems for recommendation by correcting the flaws of conventional machine learning approaches. This review compares the use of Gen AI and conventional AI in RS throughout various fields, with a focus on GANs and VAEs. These generative models indicate their capabilities and challenges involving low data, cold start, and lack of diversity in recommendations. They also show potential limitations for further research. The report outlines recent works to represent how Gen AI enhances RS performance traces key trends, and addresses relevant emerging concerns with reliability and ethics. The results highlight hybrid approaches, promising further developments of the effective and flexible RSs. To conclude, the paper advocates for further research to be performed.
  • A Web-Based System for QR Code Flag Identification and DecodingWith Python and Flask
    Semmathi G S, Dhinakaran Krishnan, G Muthupandi
    2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
    The flag-identifying tool based on QR codes here is fresh and made exclusively for a Kali Linux environment, developed in Flask for the Web. Most of them are the traditional or default QR code scanners, it's a complete zbarimg-tool, which is available as a native tool in many Linux Flavors, so it is most compatible and performs better in a Kali setup as compared to its counterparts. The tool simply does QR code reading from a very particular local machine folder along a very organized, systematic approach in handling images. Users will upload images containing QR codes over a web interface, while app.py works to process the images, decode the data, and ultimately reveal Capture The Flag (CTF) lying within the images. Indeed, only the relevant flags would return, thus saving on the user time during a CTF or cybersecurity training session. Taking advantage of native command-line utilities makes the project an offering that is indeed innovative and a first in the field of QR-code flag output extraction. This organized structure affords the tool orderly file storage and processing, a strong and scalable solution to a lover of cybersecurity and a professional. Well, this QR flag decoder is up and coming, as it emphasizes simplicity, accuracy, and using Linux-native utilities-a really big leap forward in automated QR decoding for CTF challenges and beyond.
  • The Impact of Immersive Virtual and Augmented Reality on Medical Field: A Review of Cognitive Load, Learning Efficiency, and Practical Applications
    Nirmal Kumar P, Muthupandi G, S Pavithra
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
    This paper describes how AR is transformed into healthcare, particularly when viewed from the perspective of medical imaging, surgical precision, and education, and examines how this integration is done, demonstrating its potential for enhancing clinical practice, engagement of patients, and customized interventions. Thus, AR combined with VR, AI, and robotics will open a new door for healthcare delivery, educational, and training revolutions. The main drawbacks include regulatory challenges, high costs, and clinical validation. This needs further research on this area to move forward. Cognitive load measuring using AR is another important aspect of user experience which removes the traditional method on performance tests or subjective ratings. The use of non-invasive sensors has been combined with physiological measures in recent times. An example is eye-tracking, which will provide us with real-time data of cognitive load; but it is still uneven, and we require a multi-method approach to overcome this. AR and immersive VR are together known as XR technologies. XR is used in medical education, and it is absorbed that it increases knowledge gain much higher in comparison to traditional learning resources in anatomy learning. A Cross-study analysis on students showed that 80% of participants reporting a positive learning experience on XR. Collectively we need intensive research to maximize its impact and address regulatory, developmental, and cognitive considerations.
  • Hybrid Deep Learning Model for Open-Set Seed Classification Using Hyperspectral and RGB Imaging
    Kishore Jawahar, G. Muthupandi, Shopika S, Pavithra S
    2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
  • Advances in Deep Learning for Tuberculosis Detection in Chest X-Rays: A Review of Diagnostic Accuracy
    Jayakumar K, G Muthupandi, Dhayanidhi R, S. Pavithra
    3rd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2025, 2025
  • Machine Learning Based House Rental Price Prediction Using Multivariate Regression and Environmental Factors
    Arunkumar kaliMuthu, K Vasuki Devi, G Muthupandi, S. Pavithra
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
  • Fuel Efficiency Prediction Using Machine Learning, A TensorFlow-Based Approach to Enhancing Automotive Sustainability
    Sandhiya Sri Ravichandran, V Darshana, Muthupandi G, S. Pavithra
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
  • Harnessing Memory Safety and Asynchronous Concurrency in Rust's Web Framework Ecosystem for High-Performance Web Applications
    Yuvaraaj G K, Dhakshayan Appar, Muthupandi G, S Pavithra
    2025 International Conference on Computing and Communication Technologies Iccct 2025, 2025
  • Real-Time Plastic Waste Detection and Region Density Mapping using Optimized YOLOv5 and Heatmaps Overlays
    Semmathi G S, R Mathesh, Samvrutha S B, G Muthupandi, S Pavithra
    Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025
  • Artificial Intelligence (AI)- Driven Anomaly Detection and Blockchain Integration for Tamper-proof Vehicle-to-Vehicle (V2V) Networks
    Rithanya Sivakumar, Kanimozhi S, Sachin V S, Muthupandi G, S Pavithra
    Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025
  • Prevention of Malaria and Dengue Fever with Deep Analysis using ML Techniques
    Koushik P, L V Adithya, Manisha B, G. Muthupandi, S. Pavithra
    4th International Conference on Automation Computing and Renewable Systems Icacrs 2025 Proceedings, 2025
  • Intelligent Air Quality Forecasting and Pollution Prediction using Hybrid Machine Learning Algorithm
    Rajarajeshwari B, Sankari S, Harivel GK, Muthupandi G, S. Pavithra
    Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025
  • AI-Powered Resource Management in Energy-Constrained IoMT Systems
    Poornaganesh Dasarirajua, P.Deepak, Sanjai B, G. Muthupandi, S. Pavithra
    Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025
  • Real-Time Fake News Detection using NLP and WebSocket Frameworks
    Balakumaran Thiagarajan, Balaji R, Ashwin S, Emmanuel Enoch A D, Muthupandi G, et al.
    4th International Conference on Automation Computing and Renewable Systems Icacrs 2025 Proceedings, 2025
  • Advanced Network Security System: Honeypot-Based Intrusion Detection with Machine Learning and Visualization
    Proceedings of International Conference on Applied Innovation in IT, 2025
  • Estimation of voltage signal analysis using Extended Kalman Filter
    Muthupandi G, Elango S, Manikandan V
    International Conference on Communication and Signal Processing Iccsp 2014 Proceedings, 2014

RECENT SCHOLAR PUBLICATIONS

  • A Dual-Dataset Deep Learning Approach for Seizure Detection from Wearable Sensor Data
    G Muthupandi, E Mariappan
    2026 International Conference on Data Science, Agents and Artificial … , 2026
    2026
  • Blockchain and Federated Learning for Next-Generation IoT Security
    PV Lakshmi, G MUTHUPANDI, RT MURUGAN, E MARIAPPAN
    Deep Science Publishing , 2026
    2026
  • Case Study 1: Applications of AI and IoT-Based Smart Cities
    G Muthupandi, K Jayakumar, G Karthiyayini
    AI-Based Data Mobility and Intelligent Modeling for Smart Cities, 395-426 , 2026
    2026
  • Case Studies: AI Inference Applications in IoT and Big Data Domains
    G Muthupandi, S Pavithra, R Nandhakumar, PV Lakshmi, R Vikram, ...
    Harnessing AI Inference for Intelligent Decision-Making in Real-Time … , 2026
    2026
  • AI Inference for Smart Cities Integrating IoT and Big Data
    G Muthupandi, S Pavithra, R Vikram, K Jayakumar, B Vishnu, ...
    Harnessing AI Inference for Intelligent Decision-Making in Real-Time … , 2026
    2026
  • Role of AI and IoT in smart farming
    G Muthupandi, NR Subramanian, S Jawagar, S Pavithra
    Exploring Generative AI for Collaborative Robots in Agriculture 6.0, 169-202 , 2026
    2026
    Citations: 1
  • Prevention of Malaria and Dengue Fever with Deep Analysis using ML Techniques
    P Koushik, LV Adithya, B Manisha, G Muthupandi, S Pavithra
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Real-Time Fake News Detection using NLP and WebSocket Frameworks
    B Thiagarajan, R Balaji, S Ashwin, EE AD, G Muthupandi, S Pavithra
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Artificial Intelligence-Enabled Internet of Medical Things Predictive Analytics, Personalized Care, and Compliance Challenges
    G SIVAKUMAR, N Ponnithish, A Sivasangeetha, V Aatheeswari, ...
    Deep Science Publishing , 2025
    2025
  • Real Time Stampede Prevention Using Crowd Density Estimation and Alert System
    PS Reddy, G Dohal, G Muthupandi, S Pavithra
    2025 IEEE 1st International Conference on Recent Trends in Computing and … , 2025
    2025
  • Principles of Digital Forensics: Tools and Techniques for Beginners
    GMNRSDS Pavithra
    Bluepen International Publisher 1, ISBN: 978-93-6940-684-5 , 2025
    2025
  • Embedded Firmware Engineering: Theory and Practice
    NRSGMDS Pavithra
    Bluepen International Publisher 1, ISBN: 978-93-6940-807-8 , 2025
    2025
  • Real-Time Plastic Waste Detection and Region Density Mapping using Optimized YOLOv5 and Heatmaps Overlays
    GS Semmathi, R Mathesh, SB Samvrutha, G Muthupandi, S Pavithra
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • Artificial Intelligence (AI)-Driven Anomaly Detection and Blockchain Integration for Tamper-proof Vehicle-to-Vehicle (V2V) Networks
    R Sivakumar, S Kanimozhi, VS Sachin, G Muthupandi, S Pavithra
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • Intelligent Air Quality Forecasting and Pollution Prediction using Hybrid Machine Learning Algorithm
    B Rajarajeshwari, S Sankari, GK Harivel, G Muthupandi
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • AI-Powered Resource Management in Energy-Constrained IoMT Systems
    P Dasarirajua, P Deepak, G Muthupandi, S Pavithra
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • Advanced Network Security System: Honeypot-Based Intrusion Detection with Machine Learning and Visualization
    A Lakshmipathy, M Gurusamy, SF Lalo, NS Lebang, K Selvaraj, ...
    2025
  • Machine Learning Based House Rental Price Prediction Using Multivariate Regression and Environmental Factors
    KV Devi, G Muthupandi, S Pavithra
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025
  • Harnessing Memory Safety and Asynchronous Concurrency in Rust's Web Framework Ecosystem for High-Performance Web Applications
    GK Yuvaraaj, D Appar, G Muthupandi, S Pavithra
    2025 International Conference on Computing and Communication Technologies … , 2025
    2025
  • A review of generative ai in recommendation systems
    VP Shivaani, G Muthupandi
    2025 International Conference on Data Science, Agents & Artificial … , 2025
    2025
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Technology and Community Interventions for food Security and Waste Reduction
    K Arunkumar, G Muthupandi
    2025 International Conference on Data Science, Agents & Artificial … , 2025
    2025
    Citations: 3
  • Estimation of voltage signal analysis using Extended Kalman Filter
    G Muthupandi, S Elango, V Manikandan
    2014 International Conference on Communication and Signal Processing, 1664-1668 , 2014
    2014
    Citations: 3
  • An In-Depth Analysis and Performance of Existing Techniques for Ethereum Smart Contract Vulnerability Detection
    DS Kumar
    J. Electrical Systems 20 (10s), 8294-8301 , 2024
    2024
    Citations: 2
  • Role of AI and IoT in smart farming
    G Muthupandi, NR Subramanian, S Jawagar, S Pavithra
    Exploring Generative AI for Collaborative Robots in Agriculture 6.0, 169-202 , 2026
    2026
    Citations: 1
  • A review of generative ai in recommendation systems
    VP Shivaani, G Muthupandi
    2025 International Conference on Data Science, Agents & Artificial … , 2025
    2025
    Citations: 1
  • The Impact of Immersive Virtual and Augmented Reality on Medical Field: A Review of Cognitive Load, Learning Efficiency, and Practical Applications
    N Kumar, G Muthupandi, S Pavithra
    2025 International Conference on Data Science, Agents & Artificial … , 2025
    2025
    Citations: 1
  • Advances in Deep Learning for Tuberculosis Detection in Chest X-Rays: A Review of Diagnostic Accuracy
    K Jayakumar, G Muthupandi, R Dhayanidhi, S Pavithra
    2025 3rd International Conference on Intelligent Data Communication … , 2025
    2025
    Citations: 1
  • A Dual-Dataset Deep Learning Approach for Seizure Detection from Wearable Sensor Data
    G Muthupandi, E Mariappan
    2026 International Conference on Data Science, Agents and Artificial … , 2026
    2026
  • Blockchain and Federated Learning for Next-Generation IoT Security
    PV Lakshmi, G MUTHUPANDI, RT MURUGAN, E MARIAPPAN
    Deep Science Publishing , 2026
    2026
  • Case Study 1: Applications of AI and IoT-Based Smart Cities
    G Muthupandi, K Jayakumar, G Karthiyayini
    AI-Based Data Mobility and Intelligent Modeling for Smart Cities, 395-426 , 2026
    2026
  • Case Studies: AI Inference Applications in IoT and Big Data Domains
    G Muthupandi, S Pavithra, R Nandhakumar, PV Lakshmi, R Vikram, ...
    Harnessing AI Inference for Intelligent Decision-Making in Real-Time … , 2026
    2026
  • AI Inference for Smart Cities Integrating IoT and Big Data
    G Muthupandi, S Pavithra, R Vikram, K Jayakumar, B Vishnu, ...
    Harnessing AI Inference for Intelligent Decision-Making in Real-Time … , 2026
    2026
  • Prevention of Malaria and Dengue Fever with Deep Analysis using ML Techniques
    P Koushik, LV Adithya, B Manisha, G Muthupandi, S Pavithra
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Real-Time Fake News Detection using NLP and WebSocket Frameworks
    B Thiagarajan, R Balaji, S Ashwin, EE AD, G Muthupandi, S Pavithra
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Artificial Intelligence-Enabled Internet of Medical Things Predictive Analytics, Personalized Care, and Compliance Challenges
    G SIVAKUMAR, N Ponnithish, A Sivasangeetha, V Aatheeswari, ...
    Deep Science Publishing , 2025
    2025
  • Real Time Stampede Prevention Using Crowd Density Estimation and Alert System
    PS Reddy, G Dohal, G Muthupandi, S Pavithra
    2025 IEEE 1st International Conference on Recent Trends in Computing and … , 2025
    2025
  • Principles of Digital Forensics: Tools and Techniques for Beginners
    GMNRSDS Pavithra
    Bluepen International Publisher 1, ISBN: 978-93-6940-684-5 , 2025
    2025
  • Embedded Firmware Engineering: Theory and Practice
    NRSGMDS Pavithra
    Bluepen International Publisher 1, ISBN: 978-93-6940-807-8 , 2025
    2025
  • Real-Time Plastic Waste Detection and Region Density Mapping using Optimized YOLOv5 and Heatmaps Overlays
    GS Semmathi, R Mathesh, SB Samvrutha, G Muthupandi, S Pavithra
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • Artificial Intelligence (AI)-Driven Anomaly Detection and Blockchain Integration for Tamper-proof Vehicle-to-Vehicle (V2V) Networks
    R Sivakumar, S Kanimozhi, VS Sachin, G Muthupandi, S Pavithra
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025