Dr. Ramesh G received his Ph.D. in Computer Science and Engineering from Osmania University, Hyderabad, India. He is currently an Associate Professor in the Department of Computer Science and Engineering at Vaagdevi Engineering College, affiliated with JNTU, Warangal, Telangana.
He holds a B.C.A. (2001) and M.Sc. (2004) from Kakatiya University, Warangal, and an M.Tech. (2010) in CSE from JNTU, Hyderabad. With over 22 years of teaching experience, he has published 30+ research papers and 10 conference papers and has more than 12 years of experience as an editor and reviewer for reputed journals and conferences.
Dr. Ramesh G is an approved Research Co-Supervisor at Bharath Institute of Higher Education and Research (Deemed University), currently guiding three Ph.D. scholars. He holds multiple patents, has received AICTE and DST research funding, authored seven books, received three awards, and actively contributes to professional bodies. His research interests include network security
EDUCATION
M. Sc(IS)., M. Tech(CSE)., Ph. D(CSE)., LMISTE, MCSI, LMAIRA, RMISAC, LMIAENG, MIEEEE, PROF-M-IFERP
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Engineering
7
Scopus Publications
144
Scholar Citations
8
Scholar h-index
6
Scholar i10-index
Scopus Publications
Intelligent IoT-Driven Predictive Maintenance in Industrial Automation Using EfficientDet with Residual Attention Network Banothu Krishna, S. Maruthuperumal, Ramesh G 2025 IEEE International Conference on Communication Networks and Computing Cnc 2025, 2025 The Internet of Things (IoT) is a platform that enables regular tasks and creates a connection between humans and objects. Real-time visual data analysis for improved monitoring, quality control, and preventive maintenance is rendered achievable by industrial automation and predictive maintenance. By monitoring production processes, identifying flaws, and anticipating possible equipment breakdowns, this technology make usage of cameras and image processing algorithms, which enhances productivity, decreases downtime, and improves product quality. It is occasionally very challenging to integrate modern automation and predictive maintenance solutions with older technologies and a variety of equipment from different manufacturers. It can be complicated to maintain dependable and secure network access for real-time data transmission and processing, particularly in remote or demanding circumstances. To overcome these difficulties, an effective IoT-based image processing and predictive maintenance model are developed with the support of deep learning model. Initially, Real-time image data captured through IoT-enabled cameras. Then, the collected images are passed to the EfficientDet with Residual Attention Network (EDet-RAN) for performing the defect detection, anomaly classification, and machine condition monitoring. The proposed EDet-RAN aims to reduce unplanned downtimes, optimize equipment performance, and improve manufacturing quality through intelligent visual inspection, predictive analytics, and automated decision-making. In addition, the EDet-RAN enhances the efficiency of industrial automation by enabling intelligent visual inspection for identifying defects such as surface cracks, component misalignments, or thermal anomalies. In order illustrate the effectiveness of the established model; the analysis is completed utilizing benchmark methodologies.
Integrated Deep Learning Models of Residual Attention Network with Recurrent Neural Network for Accurate Facial Recognition and Emotional Detection Srinivas B, S. Maruthuperumal, Dr. Ramesh G Proceedings of 5th International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2025, 2025 One of the difficult tasks in the research field of social communication is detecting human emotions from images. These days, face recognition approaches are very useful for applications like home security, criminal identification, and phone unlocking systems. Face recognition technology is one of the popular tasks under the Human-Computer Interaction (HCI) field. In order to capture the nano and micro facial emotions, automatic facial emotion detection models are needed. Most of the traditional models do not focus on the subtle facial landmarks and miss the contextual elements needed for precise face as well as emotion recognition. Thus, this paper proposes an automated model of facial recognition and emotion detection using a deep learning approach. Initially, the required input images are collected from the benchmark datasets. Secondly, the person is identified by face recognition using the Residual Attention Network (RAN). Finally, the human emotions are detected through RAN with a Recurrent Neural Network (RAN-RNN) model. This integral model leverages the strength of both networks to ensure robustness, processing the sequence of features over time, and detecting the emotion significantly. Once the recognition and detection are done, the proposed model obtained an accuracy of 95.72%, which represents the supremacy of the proposed system.
Geo-demographic Determinants of Brand Choice: An Analysis of Urban and Rural Consumers in Telangana Padma. A, N. Suman Kumar, D. Srinivas, Ramesh G Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies, 2025 This research shows how consumers in the city and rural areas in Telangana, India accept COSMETIC products based on brand attributes and geo-demographic factors. As people become more concerned with skincare and health care, the choice of the brand has become one of the major factors of purchasing behaviour. This study examines the nature of variables (brand consciousness, brand name and brand loyalty) in consumer decision making. Based on the descriptive research design and the primary data obtained with 678 participants with the help of a structured questionnaire, the study uses SPSS to prove the existence of specific hypotheses by conducting the statistical test. The results indicate that age, gender, income, marital status and education is a demographic variable that significantly affects consumer build and brand loyalty in Young Generation 15 to 25 age group. The findings are used to emphasize the role of branding strategy in market positioning and building long-term customer relationships in various consumer segments. The findings do not delve into the contribution of lifestyle, personality values psychographic variables in consumer-brand relations. This study can be expanded in future, through incorporation of psychographic profiling into geo-demographics to create a complete description of the consumer behaviour in terms of brand selection.
The Future of Content Marketing: AI, Virtual Reality, and Changing Consumer Behavior Padma. A, N. Suman Kumar, D. Srinivas, Ramesh G Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies, 2025 Content marketing is a new necessity in the trendy world of the digital era, which promotes consumer interaction and development of brand loyalty. With the current E-revolutionary technological era, content marketing has become one of the most important instruments of instigating consumer relations and formation of brand loyalty. The current paper examines the origin and strategic significance of the content marketing aspect and its psychological foundations as well as its practical examples. The paper explores the role in which story-telling could be used in consumer behavior, emotion, memory and decision-making, and breaks down key aspects that make a good brand-story like, character, conflict, resolution, authenticity, emotional connection, and value-add. Various content such as blogs, podcasts, videos, and infographics are also presented and means of maximizing the content through visual and interactive storytelling techniques. The paper discusses the concepts of content distribution and promotion, such as using social media, optimizing search engine (SEO), teaming up with influencers, and collaborating with communities. The KPIs and data analytics help to efficiently analyze the effectiveness of the content marketing that is provided to the companies that were able to reach outstanding outcomes through data-driven content strategies. The paper also addresses the new phenomenon, such as artificial intelligence (AI), machine learning, augmented/virtual reality (AR/VR), and the changes the new technologies can impose on content production, as well as how they can alter consumption of the same.This analysis has shown in this paper that content marketing can be a revolutionary factor in the brand and consumer dynamics evolution and that novel concepts about the means of storytelling ought to be created on a regular basis to remain abreast with the modern digital economy.
Exploring Geo-demographic and Digital Drivers of Consumer Behavior in Telangana: Urban and Rural Perspectives on Brand Choice Padma. A, N. Suman Kumar, D. Srinivas, Ramesh G Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies, 2025 This paper will examine the relationship between consumer preference on fast-moving consumer goods (FMCG) products in both urban and rural areas in Telangana, India, and the brand attributes and geo-demographic variables. This has been as the consumers are taking health maintenance more into consideration in their consumer behavior, and brand choice has become a factor of significant influence in the consumer buying behavior. This study examines the influence of variables, brand consciousness, brand loyalty, price, and emotional connection on consumer choices. The study uses SPSS to support the testing of appropriate hypotheses based on statistical results in relation to the applied qualitative and quantitative research method design, and primary data gathered using Likert 5point scale structured questionnaire through 230 respondents. Results indicate that demographic factor, which includes age, gender, income, marital status, and education, plays a significant part on the decision of consumers to buy products or services. These findings demonstrate the significance of brand attributes and the effect they have on consumer behavior and creation of branding strategies to create customer relationships with various consumer segments.
Intelligent IoT-Driven Predictive Maintenance in Industrial Automation Using EfficientDet with Residual Attention Network GR Banothu Krishna, S Maruthuperumal 2025 IEEE International Conference on Communication Networks and Computing (CNC) , 2026 2026
Exploring Geo-demographic and Digital Drivers of Consumer Behavior in Telangana: Urban and Rural Perspectives on Brand Choice P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026
The Future of Content Marketing: AI, Virtual Reality, and Changing Consumer Behavior P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026
Geo-demographic Determinants of Brand Choice: An Analysis of Urban and Rural Consumers in Telangana P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026
Integrated Deep Learning Models of Residual Attention Network with Recurrent Neural Network for Accurate Facial Recognition and Emotional Detection B Srinivas, S Maruthuperumal, G Ramesh 2025 5th International Conference on Ubiquitous Computing and Intelligent … , 2025 2025
Transforming cloud privacy protection with attribute-based access control SB Dr. Naveen Kumar R, Dr. Ramesh G, Mr. K. Bhaskar Babu Quaderns 13 (7), 60-66 , 2025 2025
Securing government healthcare services: an efficient framework utilizing G-cloud technology SB Dr. Naveen Kumar R, Dr. Ramesh G, Mr. K. Bhaskar Babu STAPS 11 (6), 784-789 , 2025 2025
AI-driven IoT robotics in hazardous waste management for safe and efficient solutions DRG DR. S. Venkarramulu, Kshitiza Vasudeva , Prvathi Sindhuja, Dr. R. Naveen ... IN Patent 202,541,035,498 , 2025 2025
Smart cooking monitoring system DNSK Ambati Padma, Dr. Ramesh G IN Patent 202,541,037,289 , 2025 2025
Artificial intelligence-integrated swimming assistive system for real-time learning, stress monitoring, and emotional wellness DNSK Ambati Padma, Dr. Ramesh G IN Patent 202,541,038,690 , 2025 2025
Deep analysis on Fog Computing for Secure and Efficient Data Analytics DRG Dr.Kalyanapu Srinivas, Dr. S. Venkatramulu, Dr M. Ranjith Kumar STAPS 11 (5), 848-853 , 2025 2025
A blockchain-based protected electronic voting system KRD Dr. S. Venkatramulu, Dr. Ramesh G, Dr. Kalyanapu Srinivas STAPS 11 (5), 833-840 , 2025 2025
Image processing and deep learning techniques enhancing digital and medical health KRD Kudikala Laxmi Narsimha Sai, Dr. Kalyanapu Srinivas, Dr. Ramesh G STAPS 11 (5), 787-793 , 2025 2025
Light weight framework in network security for the health care to identify botnet in IoT by using stack ensemble deep learning Dr. Ramesh G, Dr. Naveen Kumar R, Dr. Damalla Jyothi, T. Sravanthi STAPS 11 (4), 61-71 , 2025 2025
AI-Powered Customer Engagement Strategies Dr. Ramesh G, Ambati Padma, Dr. N. Suman Kumar International Conference on Engineering Innovations, Sustainable Business … , 2025 2025
AI Enabled Farm Environment Monitoring Device DRG Dr. Patteti Krishna, Dr. Nanhay Singh, Dr. N. Neelima IN Patent 439737-001 , 2024 2024
Inclusive Learning and Assessment in the Era of AI R Nayak, H Yassin, G Ramesh, A Godishala SN Computer Science 5 (8), 1-14 , 2024 2024 Citations: 13
IoT based medicine dispenser with multiple tablet organiser DRG Avanthi Nagelli, Dr. B. Sateesh Kumar, Dr. S.Venkatramulu, Gokul Varshan ... IN Patent 435603-001 , 2024 2024
IoT based plastic waste disposal device DRG Nagaraju Ankathi, Dr. Prasanna Rani Redapangu, Challuri Shiva Krishna ... IN Patent 435725-001 , 2024 2024
IoT Based Voice Control Smart Home Automation System Using for Disabled People DSA Dr. P SALMA KHATOON, Dr. RAMESH G, Dr. IWIN THANAKUMAR JOSEPH S, T ... IN Patent 202,441,017,672 , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
A Ranking Model Framework for Multiple Vertical Search Domains SB Sriramoju, R Gadde International Journal of Research and Applications 1 (1), 17-22 , 2014 2014.0 Citations: 37
An overview of classification rule and association rule mining B Srinivas, G Ramesh, SB Sriramoju International Journal of Scientific Research in Computer Science … , 2018 2018.0 Citations: 22
A Survey on Evolution of Big Data with Hadoop R Gadde, N Vijay International Journal of Research in Science and Engineering 3 (6), 92-99 , 2017 2017.0 Citations: 14
Inclusive Learning and Assessment in the Era of AI R Nayak, H Yassin, G Ramesh, A Godishala SN Computer Science 5 (8), 1-14 , 2024 2024.0 Citations: 13
Sketching based High Performance Big Data Processing Accelerator AB Sriramoju, N Vijay, R Gadde Journal of International Research in Science and Engineering 3 (6), 78-85 , 2017 2017.0 Citations: 12
Two Layered Privacy Architecture for Big Data Framework N Vijay, AB Sriramoju, R Gadde International Journal of Innovative Research in Computer and Communication … , 2017 2017.0 Citations: 11
A Study on Mining Top Utility Itemsets In A Single Phase B Srinivas, G Ramesh, SB Sriramoju International Journal for Science and Advance Research in Technology (IJSART … , 0 Citations: 9
An Overview of Big Data Challenges Tools and Techniques SA Babu, N Vijay, R Gadde International Journal of Research and Applications 4 (16), 596-601 , 2017 2017.0 Citations: 8
Objective Quality Metric Design for Wireless Image and Video Communication MAB Sriramoju, DSS Babu International Journal of Information Technology and Management 10 (16), 1-7 , 2016 2016.0 Citations: 8
Survey on Cloud computing Technologies & Security threats S Bandela, R Gadde, S Pabboju International Journal of Research and Applications 2 (6), 296-308 , 2015 2015.0 Citations: 5
A Host–Based P2P Host Identification Approach with Flow–Based in Detection of P2P Bots G Ramesh, S PABBOJU Tianjin DaxueXuebao(ZiranKexueyu Gongcheng Jishu Ban) Journal of Tianjin … , 2022 2022.0 Citations: 2
A Security Protocol for mobile-Banking and payment using SMS and USSD in Ethiopia G Ramesh, K Berhane International journal of research and application, 3 (10). Imran, Ashraf, R … , 2016 2016.0 Citations: 2
Intelligent IoT-Driven Predictive Maintenance in Industrial Automation Using EfficientDet with Residual Attention Network GR Banothu Krishna, S Maruthuperumal 2025 IEEE International Conference on Communication Networks and Computing (CNC) , 2026 2026.0
Exploring Geo-demographic and Digital Drivers of Consumer Behavior in Telangana: Urban and Rural Perspectives on Brand Choice P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026.0
The Future of Content Marketing: AI, Virtual Reality, and Changing Consumer Behavior P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026.0
Geo-demographic Determinants of Brand Choice: An Analysis of Urban and Rural Consumers in Telangana P A, NS Kumar, D Srinivas, R G 2025 2nd International Conference on Recent Trends in Electrical … , 2026 2026.0
Integrated Deep Learning Models of Residual Attention Network with Recurrent Neural Network for Accurate Facial Recognition and Emotional Detection B Srinivas, S Maruthuperumal, G Ramesh 2025 5th International Conference on Ubiquitous Computing and Intelligent … , 2025 2025.0
Transforming cloud privacy protection with attribute-based access control SB Dr. Naveen Kumar R, Dr. Ramesh G, Mr. K. Bhaskar Babu Quaderns 13 (7), 60-66 , 2025 2025.0
Securing government healthcare services: an efficient framework utilizing G-cloud technology SB Dr. Naveen Kumar R, Dr. Ramesh G, Mr. K. Bhaskar Babu STAPS 11 (6), 784-789 , 2025 2025.0
