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. Choubani Karim | Capteurs intelligents Awards | Best Researcher Award

Prof. Choubani Karim | Capteurs intelligents Awards | Best Researcher Award

Prof. Choubani Karim, Imam Mohamed bin Saoud university, Saudi Arabia

Karim Choubani is an experienced Assistant Professor of Mechanical Engineering, currently teaching at Al Imam Mohammad Ibn Saud Islamic University in Saudi Arabia. He holds a Doctorate in Engineering from the University of Tunis Manar in collaboration with the Institute of Fluid Mechanics in Toulouse, France, as well as a Masterโ€™s degree and a Mechanical Engineering degree, with study experiences in France and Italy. His teaching career spans over two decades, with roles in Tunisia and Saudi Arabia, where he has taught various courses, including Dynamics, Vibration, Fluid Mechanics, and Thermodynamics. In addition to teaching, Dr. Choubani has actively contributed to research, particularly in heat and mass transfer, stratified flow instabilities, solar pond applications, and membrane desalination, and he integrates nanotechnology in energy conversion studies. His scholarly work is complemented by his extensive involvement in supervising over 40 undergraduate and graduate projects, co-supervising a doctoral thesis, and participating in scientific congresses in Tunisia and France. Dr. Choubani has also contributed to institutional activities, serving on scientific and quality committees and as a reviewer for theย Journal of Solar Energy. He has led training and maintenance efforts in desalination and fluid mechanics, with hands-on training experiences in Gabes, Tunisia, and Marseille, France. Fluent in Arabic, French, and English, Dr. Choubani brings a global perspective and a wealth of expertise in both academic and applied engineering settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Karim Choubani

Educational Background: Karim Choubani holds advanced qualifications, including a Doctorate in Engineering with research collaboration between Tunisian and French institutions, positioning him as a knowledgeable expert in fluid mechanics and thermal systems. This international academic foundation enhances his suitability for a Best Researcher Award.

Education ๐ŸŽ“๐Ÿ“˜

  • Doctorate in Fluid Mechanicsย (2009) ๐ŸŒŠ๐Ÿงช
    Engineering School of Tunisia, University of Tunis Manar (Tunisia) & Institute of Fluid Mechanics of Toulouse (France)
  • Masterโ€™s Degree in Industrial Thermal Systemsย (2002) ๐Ÿ”ฅ
    Engineering School of Tunisia, University of Tunis Manar & University Institute of the Industrial Thermal Systems, Marseille (France)
  • Mechanical Engineeringย (2001) โš™๏ธ
    Engineering School of Tunisia, University of Tunis Manar, Italy (University of Ancona & Sapienza University of Rome)

Academic & Professional Experience ๐Ÿซ๐Ÿ”ง

  • Assistant Professor, Mechanical Engineeringย (Sep 2022 โ€“ Present)
    Al Imam Mohammad Ibn Saud Islamic University, KSA ๐Ÿ‡ธ๐Ÿ‡ฆ
    Courses taught: Dynamics and Vibration ๐Ÿ“๐Ÿ’ฅ, Supervising undergraduate projects ๐Ÿ‘จโ€๐ŸŽ“๐Ÿ‘ฉโ€๐ŸŽ“
  • Assistant Professorย (Sep 2019 โ€“ Jun 2022)
    High Institute of Applied Sciences and Technology of Mahdia, Tunisia ๐Ÿ‡น๐Ÿ‡ณ
    Courses: Statics, Dynamics, Thermodynamics, Fluid Mechanics, Vibration ๐ŸŒก๏ธ๐ŸŒŠ
  • Professional Trainerย (Aug 2013 โ€“ Aug 2019)
    Riyadh College of Technology, Saudi Arabia ๐Ÿ‡ธ๐Ÿ‡ฆ
    Specialization: Mechanical Technology in Refrigeration and Cooling Systems โ„๏ธ
  • Researcherย (2001 โ€“ 2017) ๐Ÿง‘โ€๐Ÿ”ฌ
    National Engineering School of Tunisia & National School of Engineers of Gabes, Tunisia
    Research interests: Heat transfer, desalination, solar ponds, nanotechnology in energy conversion ๐Ÿ”‹๐ŸŒž

Research Interests & Focus Areas ๐Ÿ”ฌ๐Ÿ’ก

  • Heat and mass transfer in stratified flows ๐ŸŒก๏ธ
  • Solar pond applications for sustainable energy solutions โ˜€๏ธ๐ŸŒŠ
  • Theoretical and experimental thermal desalination studies ๐Ÿ’ง
  • Nanotechnology in energy conversion applications ๐Ÿงฌ

Publication top Notes:

Experimental Investigation of a Phase-Change Materialโ€™s Stabilizing Role in a Pilot of Smart Salt-Gradient Solar Ponds

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Porous silicon layer decorated with PbS nanoparticles by SILAR method for enhanced photocatalytic degradation of amido black dye

Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

Multicrystalline Silicon Passivation by Hydrogen and Oxygen-Rich Porous Silicon Layer for Photovoltaic Cells Applications