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

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin, Xinjiang University, China

Patima Nizamidin is a researcher in analytical chemistry specializing in optical waveguide gas sensors, metal-organic framework (MOF) thin films, and the adsorption and transformation of environmental pollutants. She earned her Ph.D. from Xinjiang University, where she has been working in the College of Chemistry since September 2013. Her research focuses on developing advanced gas sensing materials and investigating adsorption kinetics. She has led multiple research projects funded by the National Natural Science Foundation of China and the Xinjiang Uygur Autonomous Region. Patima has published extensively in high-impact journals, contributing significant advancements in optical gas sensing technologies.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Patima Nizamidin

Patima Nizamidin is a highly qualified candidate for the Best Researcher Award based on her strong academic background, extensive research contributions, and impact in analytical chemistry and optical gas sensing.

🎓 Education & Work Experience

  • Ph.D. in Analytical Chemistry from Xinjiang University, China.
  • 👩‍🏫 Work Experience:
    • 2013.09 – Present: Working in the College of Chemistry, Xinjiang University, China.

🏆 Achievements & Research Contributions

  • 🔬 Research Interests:

    • Optical waveguide gas sensors.
    • Metal-organic framework (MOF) thin films and gas adsorption mechanisms/kinetics.
    • Adsorption and transformation of environmental pollutants.
  • 📑 Scientific Research Projects:

    • National Natural Science Foundation of China (NSFC) Grants:
      • (Grant No. 22464018) (2025/01-2028/12).
      • (Grant No. 22164019) (2022/01-2025/12).
    • 🏅 Natural Science Foundation of Xinjiang Uygur Autonomous Region (2021/06-2024/06).
    • 🎓 Youth Foundation of the Education Department of Xinjiang Uygur Autonomous Region (2019/09-2021/07).
  • 📚 Notable Publications:

    • Published multiple high-impact journal papers in Sensors & Actuators B: Chemical, Advanced Optical Materials, Optical & Laser Technology, Journal of Chemical Physics, and more.
    • Research focuses on MOF-based optical gas sensors, optical waveguides, and gas adsorption studies.

🏅 Awards & Honors

  • 🔬 Recognized for outstanding research contributions in the field of analytical chemistry and gas sensing technology.
  • 🏆 Recipient of prestigious NSFC grants for cutting-edge research in optical gas sensing.
  • 🎖 Multiple high-impact publications, contributing significantly to the advancement of MOF-based sensors.

Publication Top Notes:

A Nanoporous Covalent Organic Framework Film-Based Optical Waveguide Sensor for H2S Gas Detection

Rapid development of Nb-BIPA-TC-MOF film based optical wave- guides for the ‘turn-on-off’ detection of acidic-basic gases

Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides

Gas sensing properties of a maghemite-coupled porphyrin thin film–based optical waveguide sensor