Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai, Vel Tech Rangarajan Dr Sangunthala R and D Institute of Science and Technology, India

Dr. Sureshkumar Chelladurai is a seasoned academic with over 12 years of experience in IT education. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology. Previously, he taught at Anna University, BIT campus, and Maha Barathi Engineering College. Dr. Chelladurai holds a Ph.D. in ICE from Anna University, an M.E. in CSE from Annamalai University, and a B.Tech in IT from SVCET, Tenkasi. His expertise spans programming languages, networks, cloud computing, operating systems, compiler design, and machine learning. 🚀📚

Publication Profile

Orcid

Experience 🧑‍🏫

Dr. Sureshkumar Chelladurai is a seasoned academic with a wealth of experience in teaching and research. He began his career as an Assistant Professor of IT at Maha Barathi Engineering College in Kallakurichi, Tamil Nadu, serving from June 2011 to July 2014, totaling 37 months. He then moved to Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, where he worked as a Teaching Fellow in IT from January 2015 to December 2023, accumulating 107 months of experience. Currently, Dr. Chelladurai holds the position of Assistant Professor of IT at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, starting in December 2024. With over 12.3 years of experience, Dr. Chelladurai has established himself as a dedicated and knowledgeable educator.

Education 🎓

Dr. Chelladurai’s academic journey is marked by significant achievements. He completed his Ph.D. in Instrumentation and Control Engineering from Anna University, Chennai, in 2023. Prior to this, he earned his M.E. in Computer Science and Engineering from Annamalai University, Chidambaram, in 2011, with a commendable OGPA of 7.9. He also holds a B.Tech in Information Technology from SVCET, Puliyangudi, Tenkasi, Tamil Nadu, graduating in 2008 with a percentage of 69. His early education includes a Higher Secondary Certificate (HSC) from H.N.U.C. Hr. Sec. School, Puliyangudi, with a percentage of 76 in 2003, and a Secondary School Leaving Certificate (SSLC) from the same institution, where he scored 86% in 2000.

Research Focus

Dr. Sureshkumar Chelladurai’s research primarily revolves around enhancing the efficiency and security of wireless sensor networks (WSNs). His work spans various crucial aspects, including reducing traffic overhead, developing adaptive frameworks for spatial data, and implementing secure trust-based group key generation algorithms. Additionally, he focuses on improving energy efficiency and intrusion detection within WSNs using advanced techniques like fuzzy-based authentication and clustering. Dr. Chelladurai’s contributions significantly impact areas such as networks, cloud computing, machine learning, and cybersecurity, aiming to create more robust and efficient network systems. 🌐🔐📡

 

Publication Top Notes

  • Adaptive Graphical Routing Methodology for Reducing Traffic Overhead in Wireless Sensor Networks 🛤️📡
    • Publication: Signal, Image and Video Processing
    • Year: 2023
    • DOI: 10.1007/s11760-023-02834-2
    • Contributors: C. Sureshkumar, S. Sabena, L. Sai Ramesh
    • Cited by: –
  • Design of an Adaptive Framework with Compressive Sensing for Spatial Data in Wireless Sensor Networks 🖼️🌐
    • Publication: Inventive Computation and Information Technologies
    • Year: 2021Secure Trust-Based Group Key Generation Algorithm for Heterogeneous Mobile Wireless Sensor Networks 🔑📱
    • Contributors: S. Sabena, C. Sureshkumar, L. Sai Ramesh, A. Ayyasamy
  • Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks 🔐🌿
    • Publication: Wireless Personal Communications
    • Year: 2020
    • DOI: 10.1007/s11277-020-07113-8
    • Contributors: C. Sureshkumar, S. Sabena
  • Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects 🕒💻
    • Publication: International Journal of Recent Technology and Engineering
    • Year: 2019
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • Diagnosis Prognosis and Prevention of Breast Cancer Based on Present Scenario of Human Life 🎗️👩‍⚕️
    • Publication: Proceedings – 2018 International Conference on Communication, Information and Computing Technology, ICCICT 2018
    • Year: 2018
    • Contributors: Isaac, L.D., Sureshkumar, C.
  • An Efficient Intrusion Detection System for Cyber Attack using Multi-Tier Application 🔍💼
    • Publication: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
    • Year: 2018
    • Contributors: Dr. Sureshkumar C
  • Effort Estimation of Software Projects with Optimized Coefficients using Soft Computing Technique 🧮📊
    • Publication: 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017
    • Year: 2017
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • An Optimized Image Denoising in Impulse Noise Images using Firefly-Based Parallel Type 2 Fuzzy Filtering Approaches 📸✨
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: Revathi, D., Sureshkumar, C.
  • Solution to Uncertainty Using Random Forests for Predicting Mobile User Behavior 📱🔮
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: K Kandasamy, C Sureshkumar

Fang Hou | Computer Science | Best Researcher Award

Fang Hou | Computer Science | Best Researcher Award

Ms Fang Hou,Utrecht university,Netherlands

🌟 Fang Hou is a dedicated Ph.D. candidate specializing in empirical software engineering, focusing on software ecosystem trust and quality. With over a decade of experience in international banking IT, she brings a wealth of practical knowledge to her research. Fang’s work on the TrustSECO project aims to establish trust within software frameworks through sentiment analysis and opinion mining. She has presented her findings at various prestigious conferences and contributed to notable publications. Fang’s commitment to enhancing software security and trustworthiness underscores her passion for improving global software systems. As a teaching assistant at Utrecht University, she shares her expertise in software ecosystem security. 🖥️🔍

Publication profile

google scholar

Research focus

Fang Hou is deeply immersed in the realm of Empirical Software Engineering, with a specific focus on understanding and enhancing trust within software ecosystems. Through extensive research and practical experience, Fang delves into the technical intricacies of software trust and quality assurance. Their dedication to this field is evident through a comprehensive exploration of trust evaluation methodologies and sentiment analysis tools development. Fang’s work not only contributes to the theoretical understanding of software ecosystems but also strives to implement practical solutions for securing and fortifying global software systems. 🌐🔍

Publication top notes

A systematic literature review on trust in the software ecosystem

Trustseco: A distributed infrastructure for providing trust in the software ecosystem

TrustSECO: an interview survey into software trust

Analyzing the Performance of the Unmanned Bank to Explore the Failure Reasons for AI Projects

The role of software trust in selection of open-source and closed software

Sentiment analysis for software quality assessment

A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems

Zhe Zhang | Computer Science | Best Researcher Award

Assist Prof Dr. Zhe Zhang: Computer Science

🌐 Dr. Zhe Zhang, an Assistant Professor in the Department of Geography at Texas A&M University, is a distinguished scholar with a robust academic background. In 2016, he earned his Doctor of Science with distinction in Geoinformatics from Aalto University, Finland, minoring in applied mathematics. His journey includes a Master’s in Geomatics and a Bachelor’s in Environmental Engineering from top Finnish institutions. Since 2019, Dr. Zhang has been a dedicated Assistant Professor, contributing significantly to the College of Arts and Sciences. His interdisciplinary expertise extends to serving as Affiliate Faculty in Electrical and Computer Engineering and as a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center. 🌍🔬

Profile:

Scopus

Orcid

Education:

🌍 Dr. Zhe Zhang, a distinguished academic, holds a Doctor of Science (with distinction) in Geoinformatics, with a minor in applied mathematics, awarded in 2016 by the Department of Built Environment at Aalto University, Espoo, Finland. 🏰 His academic journey began in 2009 with a Master of Science (Technology) in Geomatics from the Department of Surveying at Helsinki University of Technology. 🗺️ Prior to his advanced degrees, Dr. Zhang earned a Bachelor of Environmental Engineering in 2005 from Tampere University of Applied Sciences, Tampere, Finland, laying the foundation for his environmental expertise. 🎓 His diverse educational background reflects a commitment to interdisciplinary knowledge in geography, technology, and environmental engineering.

Experience:

🎓 Dr. Zhe Zhang is a versatile academic leader currently serving as an Assistant Professor (Tenure Track) in the Geography Department of the College of Arts and Sciences at Texas A&M University since September 2019. 🌐 His impactful roles extend to being an Affiliate Faculty in Electrical and Computer Engineering, a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center, and a Faculty Fellow in the Institute of Data Science, all ongoing since September 2019. 🏛️ Dr. Zhang’s journey includes a Visiting Assistant Professor position in Geography at the College of Geosciences, Texas A&M University, and significant contributions as a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign. 🌐 Outside academia, he chairs the American Association of Geographers’ Cyberinfrastructure Specialty Group and leads the CyberGIS and Decision Support Systems Research Initiative for the University Consortium for Geographic Information Science (UCGIS). As the CyberGIS Studio Coordinator at the National Center for Supercomputing Applications, his work has left a lasting impact. 🚀🌐

Research Interest:

🧠 Dr. Zhe Zhang is at the forefront of pioneering research, specializing in intelligent decision support systems, big data, CyberGIS, and spatiotemporal data modeling. His expertise lies in seamlessly blending the realms of data science and geographic information systems to harness the power of big data. 🌐 His innovative work delves into the intricacies of intelligent decision-making processes, utilizing cutting-edge technologies. Dr. Zhang’s focus on spatiotemporal data modeling demonstrates a commitment to unraveling the complexities of dynamic spatial information. 🗺️ With a flair for fuzzy logic applications, he contributes significantly to advancing knowledge in these critical domains, shaping the future of decision support systems with intelligence and precision. 🚀🔍

Publication Top Note:
  • MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence
    • 👨‍💼 Li, D.; Zhang, Z.
    • 📅 2023
    • 📚 0 Citations
  • Embracing geospatial analytical technologies in tourism studies
    • 👨‍💼 Yang, Y.; Chen, X.; Gao, S.; … Zhang, Z.; Zhao, B.
    • 📅 2023
    • 📚 1 Citation 🌐
  • Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey
    • 👨‍💼 Li, X.; Fu, D.; Nielsen-Gammon, J.; … Zhang, Z.; Gao, H.
    • 📅 2023
    • 📚 3 Citations 🌊
  • Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach
    • 👨‍💼 Cui, W.; Hu, N.; Zhang, S.; … Güneralp, B.; Zhang, Z.
    • 📅 2022
    • 📚 1 Citation 🗺️
  • COVID-19 impacts on mobility, environment, and health of active transportation users
    • 👨‍💼 Li, X.; Farrukh, M.; Lee, C.; … Zhang, Z.; Dadashova, B.
    • 📅 2022
    • 📚 13 Citations 🚶‍♀️🌍
  • Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
    • 👨‍💼 Alizadeh, B.; Li, D.; Hillin, J.; … Zhang, Z.; Behzadan, A.H.
    • 📅 2022
    • 📚 9 Citations 🗺️🌊
  • Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
    • 👨‍💼 Li, X.; Yu, S.; Huang, X.; … Cui, W.; Zhang, Z.
    • 📅 2022
    • 📚 4 Citations 🚗
  • Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference
    • 👨‍💼 Huang, X.; Xu, Y.; Liu, R.; … Zhao, B.; Li, Z.
    • 📅 2022
    • 📚 7 Citations 🏡🌐
  • CyberGIS and Geospatial Data Science for Advancing Geomorphology
    • 👨‍💼 Wang, S.; Bishop, M.P.; Zhang, Z.; Young, B.W.; Xu, Z.
    • 📅 2022
    • 📚 0 Citations 🌐🗺️
  • Modeling human activity dynamics: an object-class oriented space–time composite model based on social media and urban infrastructure data
    • 👨‍💼 Zhang, Z.; Yin, D.; Virrantaus, K.; Ye, X.; Wang, S.
    • 📅 2021
    • 📚 8 Citations 🤖🏙️