Sreenivasu S V N | Intelligent Sensing | Excellence in Research Award

Excellence in Research Award

Sreenivasu S V N
Affiliation Narasaraopeta Engineering College
Country India
Scopus ID 56565617500
Documents 58
Citations 288
h-index 9
Subject Area Computer Science, Artificial Intelligence, Machine Learning, Intelligent Sensing
Event Global Sensor Awards
ORCID 0000-0002-6049-911X

Sreenivasu S V N is an Indian computer science researcher, professor, academic administrator, and doctoral supervisor affiliated with Narasaraopeta Engineering College, Andhra Pradesh, India. His scholarly work spans artificial intelligence, machine learning, deep learning, cloud computing, Internet of Things (IoT), cybersecurity, data analytics, medical image processing, and distributed computing systems. Through extensive research publications, patents, books, doctoral supervision, and international collaborations, he has contributed to the advancement of intelligent computing and applied engineering research.[1]

Abstract

This article presents an overview of the academic achievements, research profile, scholarly publications, intellectual property contributions, and professional accomplishments of Dr. Sirasanagondla Venkata Naga Sreenivasu. His work demonstrates sustained engagement in advanced computing technologies, particularly in machine learning, artificial intelligence, cloud systems, healthcare analytics, network security, and intelligent decision-support systems. His research output includes peer-reviewed journal articles, conference proceedings, books, patents, and doctoral supervision activities that collectively contribute to the global advancement of computer science and engineering research.[2]

Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Internet of Things, Healthcare Analytics, Data Mining, Image Processing, Computer Networks, Cybersecurity, Distributed Systems, Software Engineering.

Introduction

Sreenivasu has established a multidisciplinary research portfolio that integrates theoretical computer science with practical engineering applications. Over more than two decades of academic and administrative service, he has contributed to teaching, institutional leadership, doctoral mentoring, and research innovation. His work frequently addresses real-world challenges through the application of artificial intelligence, predictive analytics, healthcare technologies, and intelligent computing systems.[1]

Research Profile

Sreenivasu earned advanced qualifications in Information Technology, Computer Science and Engineering, and completed a doctoral degree focused on intrusion detection systems and network security. His academic career includes appointments as Professor, Principal, Vice Principal, Director, Associate Professor, and Assistant Professor across multiple higher education institutions in India. He has supervised numerous doctoral scholars and has contributed extensively to postgraduate and undergraduate education in computing disciplines.[1]

Research Contributions

  • Published more than 100 research papers in journals and conference proceedings.
  • Produced significant work in artificial intelligence, healthcare analytics, machine learning, deep learning, IoT, and cloud computing.
  • Guided and supervised multiple Ph.D. scholars across diverse computer science domains.
  • Contributed to international patents, copyrights, and technology-transfer initiatives.
  • Served as conference convener, session chair, reviewer, and research mentor for national and international events.

His research portfolio demonstrates a strong focus on intelligent systems for disease diagnosis, medical imaging, predictive modeling, smart environments, cloud-based healthcare platforms, and advanced optimization algorithms.[3]

Publications

Selected scholarly publications include research on deep neural networks, cardiovascular disease prediction, tongue image disease analytics, healthcare monitoring systems, cloud computing architectures, IoT-enabled smart systems, and machine-learning-based diagnostic platforms. Several works have appeared in Scopus-indexed and internationally recognized journals, including Big Data, BioMed Research International, Electronics, Cybernetics and Systems, and various IEEE conference proceedings.[3]

  • ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis.
  • Dense Convolutional Neural Network for Detection of Cancer from CT Images.
  • Cloud Based Electric Vehicle Temperature Monitoring System Using IoT.
  • Machine Learning Based Monitoring Systems Using Wearable Sensors.
  • Cardiovascular Disease Prediction Using Deep Variational Auto Encoder Models.

Research Impact

The research contributions of Dr. Sreenivasu have influenced multiple areas of intelligent computing, healthcare informatics, and engineering innovation. His publications have supported the development of machine-learning applications for medical diagnostics, smart healthcare infrastructure, cloud computing environments, and intelligent sensor networks. His patents further demonstrate translational research capabilities that extend beyond academic publication into practical technological implementation.[2]

Award Suitability

Sreenivasu’s scholarly achievements align strongly with criteria commonly used for international academic recognition awards. His record includes extensive peer-reviewed publications, doctoral supervision, book authorship, intellectual property generation, conference leadership, interdisciplinary research collaboration, and contributions to emerging technologies. These accomplishments demonstrate sustained academic productivity and a measurable impact on research, education, and technological innovation.[1]

Conclusion

Sirasanagondla Venkata Naga Sreenivasu represents a distinguished academic profile within the fields of computer science and intelligent systems research. His multidisciplinary contributions, sustained publication record, mentorship activities, and innovation-driven research agenda establish him as a noteworthy candidate for recognition in international research excellence and innovation award programs.[2]

References

  1. Academic Curriculum Vitae of Dr. Sirasanagondla Venkata Naga Sreenivasu, including education, professional experience, doctoral supervision, awards, patents, and academic achievements.
  2. Elsevier. (n.d.). Scopus author details: Dr. Sirasanagondla Venkata Naga Sreenivasu, Author ID 56565617500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56565617500
  3. Sreenivasu, S.V.N., et al. Selected Scopus-indexed publications in artificial intelligence, machine learning, healthcare analytics, cloud computing, and intelligent systems.
    https://doi.org/10.1089/big.2023.0014

Prof Dr. Jong-Chen Chen | Intelligent Control Award | Best Researcher Award

Prof Dr. Jong-Chen Chen | Intelligent Control Award | Best Researcher Award

Prof Dr. Jong-Chen Chen, National YunLin University of Science and Technology, Taiwan

Jong-Chen Chen is a Full Professor in the Department of Information Management at the National Yunlin University of Science and Technology, Taiwan, where he has served since 2000. He earned his M.S. in Computer Science and Electrical Engineering from the University of Texas at Arlington in 1986 and his Ph.D. in Computer Science from Wayne State University in 1993. Dr. Chen is renowned for developing a neuromolecular model that abstracts biological structure-function relationships into a system’s structure, allowing for rich intraneuronal dynamics. This model enables the system to self-organize and learn, with applications in robotic maze navigation, image recognition, data differentiation, and more. His research spans areas such as evolvable hardware, brain-like computer simulation, bio-computing, evolutionary computation, and pattern recognition. He has published extensively in journals including Sensors, Applied Science, Biomimetics, Evolutionary Computation, and Neurocomputing.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Jong-Chen Chen demonstrates strong qualifications for the “Best Researcher Award” due to his significant contributions
in various fields of computer science, robotics, and biomedical applications. He has extensive experience, having earned an
M.S. degree in computer science and electrical engineering and a Ph.D. in computer science. His academic journey,
particularly his tenure as a full professor since 2000, reflects a longstanding commitment to research and education.

Education:

  • M.S. in Computer Science and Electrical Engineering (1986)
    • University of Texas at Arlington, USA
  • Ph.D. in Computer Science (1993)
    • Wayne State University, USA

Work Experience:

  • Full Professor (2000 – Present)
    • Department of Information Management, National Yunlin University of Science and Technology, Taiwan
    • Developed a neuromolecular model (1993), abstracting biological structure-function relationships into system structure, specifically focusing on intraneuronal dynamics.

Key Contributions:

  • Applied neuromolecular models in fields like robotic maze navigation, image recognition, and biomimetic robotics.
  • Published research in prestigious journals including Sensors, Applied Science, Biomimetics, Algorithms, Evolutionary Computation, Neuro-computing, and BioSystems.

Research Interests:

  • Evolvable hardware
  • Brain-like computer simulation
  • Ecosystem simulation
  • Bio-computing
  • Artificial life
  • Molecular electronics
  • Evolutionary computation
  • Genetic programming
  • Pattern recognition

Publication top Notes:

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life with a Biomimetic System

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

Using Homemade Pressure Device to Improve Plantar Pressure-A Case Study on the Patient with Lower Limb Lymphedema