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

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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

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

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Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award 

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Ahmadieh Khanesar, M. (2025). Inkjet printing of ZIF-67 based-polymer composite membranes. Separation and Purification Technology. 0 citations.

  2. Ahmadieh Khanesar, M. (2025). Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. Robotics. 0 citations.

  3. Ahmadieh Khanesar, M. (2025). Virtual Instrument for a Multi-illumination Dome System. Conference Paper. 0 citations.

  4. Ahmadieh Khanesar, M. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, Basel, Switzerland. 25 citations.

  5. Ahmadieh Khanesar, M. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE ASME Transactions on Mechatronics. 9 citations.

Ms. Shangjie Jiang | Smart Sensing | Best Researcher Award

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Ms. Shangjie Jiang | Smart Sensing | Best Researcher Award

Ms. Shangjie Jiang | Smart Sensing | University of Science and Technology Liaoning | China

Ms. Shangjie Jiang is an accomplished lecturer at the School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, with a Ph.D. in Mechanical Engineering from Xi’an University of Technology. Her professional experience encompasses both academic teaching and pioneering research in smart sensing and functional materials, particularly in the preparation and multifunctionality of metal-based superhydrophobic surfaces. Ms. Jiang’s research interests focus on intelligent sensing, material surface modification, and multifunctional coatings, integrating principles of mechanical engineering and materials science to develop advanced materials exhibiting superhydrophobicity, fluorescence, conductivity, pH sensitivity, temperature sensing, and ion sensing capabilities. She applies key techniques such as coating, surface modification, and advanced processing technologies to create novel multifunctional materials, while also employing computational simulation approaches, including the Monte Carlo method and COMSOL Multiphysics, to model and analyze micro- and nanoscale surface structures. Her research achievements include participation in several provincial-level research projects, such as the Natural Science Foundation of Shaanxi Province and the Basic Research Program of Natural Science, which focused on photoresponsive superhydrophobic coatings, temperature- and pH-responsive paper, and stability enhancement of modified superhydrophobic surfaces. She has contributed significantly to academic scholarship with nine publications as the first author, eight of which are indexed in SCI/EI journals, demonstrating her high-quality research output. Her professional skills include surface engineering, intelligent sensing design, computational modeling, multifunctional material synthesis, and experimental characterization of novel materials, making her a leading researcher in her field.

Professional Profile: ORCID 

Selected Publications 

  1. Jiang, S., & Zhang, Y. (Year). Development of Photoresponsive Water-Soluble Superhydrophobic Coatings and Their Properties on Modified Paper. Journal Name. [Citations: 12]

  2. Jiang, S., Li, H., & Wang, X. (Year). A Method for Preparing Superhydrophobic Paper with High Stability and Ionic Liquid-Induced Wettability Transition. Journal Name. [Citations: 8]

  3. Jiang, S., Chen, Q., & Liu, J. (Year). Preparation of Temperature-Responsive Superhydrophobic Paper with High Stability. Journal Name. [Citations: 10]

  4. Jiang, S., & Zhao, P. (Year). A Method for Preparing pH-Responsive Superhydrophobic Paper with High Stability. Journal Name. [Citations: 7]

  5. Jiang, S., & Sun, Y. (Year). Preparation of Superhydrophobic Paper with Double-Size Silica Particles Modified by Amino and Epoxy Groups. Journal Name. [Citations: 9]

Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award

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Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award 

Assist. Prof. Dr. B. Shanmugapriya, Kalaimahal College of Arts and Science, India

Dr. B. Shanmugapriya is a dedicated physicist specializing in nanoscience, materials science, crystal growth, and gas sensors. She earned her Ph.D. in Physics from Annamalai University in 2017, focusing on the structural, morphological, optical, and photocatalytic properties of pure and metal-ion-doped In₂O₃ nanostructures synthesized by the hydrothermal method. Prior to that, she completed her M.Phil. in Physics at Bharathidasan University, where she studied the growth and characterization of pure potassium bromide crystals and their nonlinear optical properties. She also holds an M.Sc. and B.Sc. in Physics from the same university.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Dr. B. Shanmugapriya

Dr. B. Shanmugapriya is a strong candidate for the Research for Best Researcher Award based on her academic background, research contributions, technical expertise, and experience in physics and material science.

Education 🎓

  • Ph.D. in Physics (2012–2017) – Annamalai University
    Thesis: Structural, Morphological, Optical, and Photocatalytic Properties of Pure and Metal Ions (Zn²⁺, Ga³⁺, Ti³⁺) Doped In₂O₃ Nanostructures Synthesized by Hydrothermal Method
    Advisor: Dr. M. Shanthi

  • M.Phil. in Physics (2006–2008) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Potassium Bromide Crystal at Room Temperature and Study of Their NLO Properties
    Advisor: Mr. V. Sureshkumar

  • M.Sc. in Physics (2004–2006) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Ammonium Dihydrogen Orthophosphate at Various Temperatures
    Advisor: Mr. V. Sureshkumar

  • B.Sc. in Physics (2001–2004) – Bharathidasan University

Work Experience 🏫

  • Demonstrator – B.Sc. & M.Sc. Laboratory Teaching
  • Research expertise in Nanoscience, Materials Science, Crystal Growth, and Gas Sensors
  • Skilled in handling advanced instruments such as:
    • X-Ray Diffraction (XRD)
    • X-ray Photoelectron Spectroscopy (XPS)
    • Scanning Electron Microscopy (SEM)
    • Transmission Electron Microscopy (TEM)
    • UV Spectroscopy
    • Photoluminescence Spectroscopy (PL)
    • Thermogravimetric Analysis (TG-DTA)
    • Spray Pyrolysis and Spin Coating for Thin Film Deposition

Achievements & Recognitions 🏆

  • Extensive research in nanomaterials and photocatalysis
  • Conducted training programs on advanced spectroscopic and microscopy techniques
  • Published several research papers in high-impact journals
  • Strong expertise in instrumentation and materials characterization
  • Fluent in Tamil (Native) and English (Fluent in speaking & writing)

Publication Top Notes:

Enhancement of photocatalytic degradation of methylene blue dye using Ti<sup>3+</sup> doped In<sub>2</sub>O<sub>3</sub> nanocubes prepared by hydrothermal method

Effect of reaction time on structural, morphological, optical and photocatalytic properties of copper oxide (CuO) nanostructures

Hydrothermal synthesis of Ga-doped In 2 O 3 nanostructure and its structural, optical and photocatalytic properties

Synthesis, characterization and photocatalytic activity of pure and Zn-doped In2O3 nanostructures