Vijaya G | Computer Science | Academic Excellence Award

Published on 10/04/2026 by Academic Excellence

Dr. Vijaya G | Computer Science | Academic Excellence Award

Karpagam College of Engineering, Coimbatore | India

Dr. G. Vijaya is an accomplished academic leader and researcher in artificial intelligence and data science, reflecting consistent scholarly impact. Holding M.E. and Ph.D. qualifications, the career spans over 20 years in teaching, administration, and research across reputed institutions. Experience includes roles as Professor, Head, Principal In-charge, and industry analyst, demonstrating strong leadership and curriculum development expertise. Research interests include artificial intelligence, data analytics, machine learning, and educational technologies. Recipient of academic and professional recognitions, the profile highlights dedication to innovation, academic excellence, and institutional development.

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161

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14

h-index
4

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Featured Publications

Differential Privacy Scheme Using Laplace Mechanism and Statistical Computation in Deep Neural Networks for Privacy Preservation
Sathish Kumar, G.; Premalatha, K.; Uma Maheshwari, G.; Rajesh Kanna, P.; Vijaya, G.; Nivaashini, M. (2024), Engineering Applications of Artificial Intelligence

Robust Technique for Detecting and Blocking of VPN over Networks
Vijaya, G.; Dhiyanesh, M.S.; Hashmi, M.D.; Junaith Rehaan, K.; Kavennesh, B.V. (2024), ICONSTEM 2024 Conference Proceedings

Driver Drowsiness Detection Using Image Processing and I-Ear Techniques
Ananthi, S.; Sathya, R.; Vaidehi, K.; Vijaya, G. (2023), ICICCS 2023 Conference Proceedings

Building a Breast Cancer Prediction Model Using Machine Learning Algorithms
Vijaya, G. (2022), ACT 2022 Conference Proceedings

A Study on Asset Designation Techniques in Cloud Computing
Sumathi, G.; Vijaya, G. (2019), Lecture Notes on Data Engineering and Communications Technologies

G Sateesh | Computer Science | Research Excellence Award

Published on 07/04/2026 by Academic Excellence

Dr. G. Sateesh | Computer Science | Research Excellence Award

K L Deemed to be University | India

Dr. Sateesh Gorikapudi is a researcher and academic in Computer Science with an h-index of 6, over 12 publications, and 150+ citations, reflecting contributions to IoT, WSN, and optimization. He holds a Ph.D. in Computer Science and Engineering, along with M.Tech and B.Tech degrees in the same field. With extensive teaching experience since 2009, he has served as Assistant Professor across multiple institutions and currently contributes to higher education and research. His work focuses on energy-efficient routing, machine learning, and secure systems. He has received notable research awards and recognition. Overall, his profile demonstrates consistent academic growth, innovation, and impactful research contributions.

Citation Metrics (Scopus)

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Citations
5

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Featured Publications

A Comprehensive Review of Anomaly Detection in Road Traffic Analysis
M. Anjaneyulu, G. Sateesh, K. Thayagarajan, A. Anandan, G. Krishnan (2025), International Journal of Computing and Digital Systems

Detection of Counterfeit Currency using Ensemble Machine Learning Models and Image Processing Methods
S.B. Kunda, G. Sateesh, S. Gundu, M.B. Jashva (2025), AIP Conference Proceedings

Fuzzy Logic-Driven Machine Learning Algorithms for Improved Early Disease Diagnosis
L. Arya, N.S. Lavudiya, G. Sateesh, H. Padmanaban, B.V. Srinivasulu, R. Rastogi (2024), International Journal of Advanced Computer Science and Applications

A Novel Clustering Model via Optimized Fuzzy C-Means Algorithm and Sandpiper Optimization with Cycle Crossover Process in IoT
S. Gorikapudi, H.K. Kondaveeti (2023), Concurrency and Computation: Practice and Experience

An Optimized Clustering Model for Energy-Efficient Routing in IoT Networks
Sateesh Gorikapudi, Hari Kishan Kondaveeti (2023), IEEE International Conference on Contemporary Computing and Communications (InC4)

Radha Abburi | Engineering | Women Researcher Award

Published on 07/04/202607/04/2026 by Academic Excellence

Ms. Radha Abburi | Engineering | Women Researcher Award

SRM University AP-Amaravati | India

Ms. Radha Abburi is an experienced academic and researcher in Electronics and Communication Engineering with over two decades of teaching and research expertise. She is currently pursuing a PhD at SRM University, focusing on AI-based fetal health monitoring systems. Holding an M.Tech in Embedded Systems and a B.Tech in ECE, her career spans multiple academic institutions as an Associate Professor and Assistant Professor. She has received research funding, patents, and best paper awards. Her contributions significantly advance intelligent healthcare technologies and interdisciplinary innovation.

Citation Metrics (Scopus)

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Citations
64

Documents
12

h-index
3

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Featured Publications

Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Radha Abburi, Indranil Hatai, Rene Jaros, Radek Martinek, T.A. Arun Babu, Sharmila Arun Babu, Sibendu Samanta (2024), Applied Soft Computing

Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Abburi R., Hatai I., Martinek R., Jaros R., Babu T.A., Babu S.A., Samanta S. (2023), TechRxiv

Smart Traffic Signals for Emergency Vehicle
Gutta J., Pokuri P., Vempati S., Guntaka P., Abburi R., Samanta S. (2023), 3rd International Conference on Artificial Intelligence and Signal Processing (AISP 2023)

Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring (Preprint v2)
Radha Abburi, Indranil Hatai, Sibendu Samanta et al. (2023), TechRxiv Preprint

Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring (Preprint v1)
Radha Abburi, Indranil Hatai, Sibendu Samanta et al. (2023), TechRxiv Preprint

Santosh Kumar Sahoo | Engineering | Excellence in Academia Award

Published on 20/03/202620/03/2026 by Academic Excellence

Dr. Santosh Kumar Sahoo | Engineering | Excellence in Academia Award

VIT Bhopal University | India

Dr. Santosh Kumar Sahoo’s research focuses on artificial intelligence, machine vision, and advanced computing systems for real-world applications. His work integrates machine learning, computer vision, and intelligent automation to address challenges in pattern recognition, image processing, and data-driven decision-making. He has contributed to areas such as Industry 4.0, Internet of Things (IoT), and smart system development, emphasizing scalable and efficient computational models. His research also explores interdisciplinary applications of AI in engineering systems, enhancing performance optimization and predictive analytics. Through academic leadership and research initiatives, he supports innovation in intelligent technologies and their practical implementation across diverse domains.

Citation Metrics (Scopus)

2500

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Citations
630

Documents
50

h-index
11

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Featured Publications

Removal of Cr (VI) by thermally activated weed Salvinia cucullata in a fixed-bed column
S.S. Baral, N. Das, T.S. Ramulu, S.K. Sahoo, S.N. Das, G.R. Chaudhury (2009). Journal of Hazardous Materials

Thermoeconomic optimization of a single effect water/LiBr vapour absorption refrigeration system
R.D. Misra, P.K. Sahoo, S. Sahoo, A. Gupta (2003). International Journal of Refrigeration

Theoretical framework for assessing the economic and environmental impact of water pollution: A study on sustainable development of India
S.K. Sahoo, S.S. Goswami (2024). TERI Information Digest on Energy and Environment

Intelligent Trust-Based Utility and Reusability Model: Enhanced Security Using UAVs on Sensor Nodes
S.K. Sahoo (2022). Applied Science

Cloud computing in supply chain management: Exploring the relationship
M. Yenugula, S. Sahoo, S. Goswami (2023). Management Science Letters

Radha Abburi | Engineering | Women Researcher Award

Ms. Radha Abburi | Engineering | Women Researcher Award

SRM University AP-Amaravati | India

Featured Publications

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