Dr. B. Harichandana | Internet of Things | Best Researcher Award

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Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana, Srinivasa Ramanujan Institute of Technology, India 

Dr. B. Hari Chandana is an Associate Professor in the Department of Computer Science and Engineering at Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, India. With over 18 years of teaching experience, she has held academic positions at reputed institutions including Sir C.V. Raman Institute of Technology and Sciences and Nalanda Degree College. She earned her Ph.D. in Computer Science and Technology from Sri Krishnadevaraya University, where her research focused on image processing, specifically the recognition of Indian currency based on texture classification using SVM classifiers. She also holds an M.Tech in Information Technology from Karnataka State Open University and an M.Sc. in Computer Science from Sri Krishnadevaraya University. Dr. Chandana has qualified both the UGC-NET and the AP-SET in Computer Science and Applications, reflecting her strong academic proficiency. Passionate about research and emerging technologies, she continues to contribute to the fields of computer science and image processing through teaching, mentoring, and scholarly work.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. B. Hari Chandana, an accomplished academic with over 18 years of teaching and research experience, is a strong and deserving candidate for the Best Researcher Award. Her career reflects a consistent commitment to advancing the fields of Computer Science, Image Processing, and Artificial Intelligence, as well as mentoring the next generation of researchers and professionals.

🎓 Education Qualifications

  • 🧠 Ph.D. in Computer Science & Technology
    📅 2016–2020
    🏫 Sri Krishnadevaraya University, Anantapur, Andhra Pradesh
    📌 Research Area: Image Processing
    📜 Thesis: Security Features of Indian Currency Recognition Based on Texture Classification Using SVM Classifier

  • 💻 M.Tech in Information Technology
    📅 2012–2014
    🏫 Karnataka State Open University, Mysore
    🏅 Division: Distinction (84.12%)

  • 🧑‍💻 M.Sc. in Computer Science
    📅 2004–2006
    🏫 Sri Krishnadevaraya University, Anantapur
    🏅 Division: Distinction (82.4%)

💼 Professional Experience

  • 👩‍🏫 Associate Professor, Dept. of Computer Science & Engineering
    🏫 Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh
    📅 2021 – Present

  • 👩‍🏫 Assistant Professor, Dept. of CSE
    🏫 Sir C.V. Raman Institute of Technology and Sciences
    📅 June 2013 – March 2016

  • 👩‍🏫 Lecturer, Dept. of Computer Science
    🏫 Nalanda Degree College, Anantapur
    📅 June 2006 – May 2013

  • 📚 PG Classes Instructor (During Ph.D.)
    🏫 Sri Krishnadevaraya University
    📅 2016–2020

🕰️ Total Teaching Experience: 18+ Years

🏆 Achievements & Qualifications

  • ✅ Qualified NET (National Eligibility Test)
    📅 June 2020
    🖥️ Subject: Computer Science & Applications

  • ✅ Qualified AP-SET (Andhra Pradesh State Eligibility Test)
    📅 2019
    🖥️ Subject: Computer Science & Applications

Publication Top Notes:

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Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

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Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award 

Mr. Mehrdad Shoeibi, Worcester Polytechnic Institute, United States

Mehrdad Shoeibi is an AI specialist and researcher with expertise in industrial engineering, machine learning, and generative AI, particularly in healthcare, data analytics, and optimization. He is currently pursuing a Ph.D. in Business Administration and Management (IT) at Worcester Polytechnic Institute (WPI) and serves as a Research Assistant for the SmartWAnDS Project, focusing on AI applications in chronic wound analysis. He holds an M.Sc. in Industrial Engineering from the Institute for Management and Planning Studies (IMPS) and a B.Sc. from Islamic Azad University (IAU). Mehrdad has extensive experience in project control management and optimization, having worked in the construction and engineering industries. His technical skills include Python, AI/ML frameworks, and various business intelligence and project management tools.

Professional Profile:

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Suitability of Mehrdad Shoeibi for the Best Researcher Award

Mehrdad Shoeibi demonstrates a strong research background in Generative AI, Machine Learning, Healthcare Applications, and Optimization, which aligns with cutting-edge advancements in AI. His ongoing Ph.D. at Worcester Polytechnic Institute (WPI) and previous degrees in Industrial Engineering establish a solid academic foundation.

🎓 Education

  • Doctor of Philosophy, Business Administration and Management (IT) (2023 – Present)
    📍 Worcester Polytechnic Institute (WPI) | GPA: 3.80
  • Master of Science, Industrial Engineering (2018 – 2021)
    📍 Institute for Management and Planning Studies (IMPS) | GPA: 3.41/4
  • Bachelor of Science, Industrial Engineering (2010 – 2014)
    📍 Islamic Azad University (IAU) | GPA: 3.11/4

💼 Work Experience

Academic & Research Experience

  • Research Assistant – SmartWAnDS Project, WPI (Aug 2023 – Present)
    🔹 Conducting systematic reviews on generative AI applications in healthcare.
    🔹 Developing tools for chronic wound image annotation and classification.
  • Teaching Assistant – Game Theory (Feb 2021 – Jun 2021)
    📍 Institute for Management and Planning Studies (IMPS)
  • Teaching Assistant – Energy Pricing (Feb 2019 – Jun 2019)
    📍 Institute for Management and Planning Studies (IMPS)

Industry Experience

  • Project Control Manager – Aalam Architectural & Structural Consultants (Dec 2019 – Apr 2023)
    🔹 Managed BIM implementation.
    🔹 Coordinated interdisciplinary efforts.
    🔹 Cost estimation and project scheduling.
    🔹 Process management and optimization.
  • Project Control Specialist – Payasazeh Pasargad (Jun 2018 – Dec 2019)
    🔹 Provided value engineering recommendations.
    🔹 Coordinated construction activities.
    🔹 Prepared project progress reports.
  • Project Control Engineer – Aalam Architectural & Structural Consultants (Jan 2013 – Jul 2015)

🏆 Achievements, Awards & Honors

  • 📜 Published research in Generative AI applications in healthcare.
  • 🏅 Key contributor to the SmartWAnDS Project at WPI.
  • 🎖 Expertise in machine learning, optimization, and AI-driven healthcare solutions.
  • 🏆 Experience in business intelligence and operations research.

Publication Top Notes:

Moving toward resiliency in health supply chain

CITED:8

A Novel Six-Dimensional Chimp Optimization Algorithm—Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in …

CITED:1

Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications.

CITED:1

Energy-Efficient and Secure Double RIS-Aided Wireless Sensor Networks: A QoS-Aware Fuzzy Deep Reinforcement Learning Approach

CITED:0

5DGWO-GAN: A Novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial Network-Enabled Intrusion Detection in IoT Systems.

CITED:0

 

 

Prof. Dr. Carolina Del-Valle-Soto | Internet of Things | Best Researcher Award

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Prof. Dr. Carolina Del-Valle-Soto | Internet of Things | Best Researcher Award 

Prof. Dr. Carolina Del-Valle-Soto, Universidad Panamericana, Mexico

Carolina del Valle Soto is a distinguished researcher and professor in the field of telecommunications, specializing in wireless and wired networks, programming, and security she currently resides in Guadalajara, Mexico. She earned her Ph.D. in Information and Communication Technologies from Tecnológico de Monterrey in 2015, where she was recognized as Valedictorian and received an Excellence Scholarship. Her research focuses on developing protocols for wireless sensor networks. She also holds a Master’s in Electronic Engineering (Telecommunications) from the same institution and a Bachelor’s in Electronic Engineering from Universidad Pontificia Bolivariana. Carolina is a Level 1 Member of the National System of Researchers in Mexico and an active member of IEEE and IEEE Women in Engineering. With extensive experience in academia and research, she has held teaching and research positions at Universidad Panamericana, Universidad del Istmo, and Universidad Tecmilenio. Additionally, she serves as an evaluator for the European Commission in frontier technologies. Her professional expertise includes mathematical modeling, automation, network performance analysis, and cybersecurity, making her a key contributor to technological advancements in telecommunications.

Professional Profile:

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Suitability of Carolina Del Valle Soto for the Best Researcher Award

Carolina Del Valle Soto is a highly accomplished researcher in Telecommunications, Wireless Networks, and Security. Her Doctorate in Information and Communication Technologies (ICT) from Tecnológico de Monterrey, combined with her prestigious academic achievements, such as her Valedictorian distinction, excellence scholarships, and IEEE leadership roles, highlight her exceptional expertise and commitment to research.

🎓 Education

  • Doctorado en Tecnologías de Información y Comunicaciones (2011 – 2015) – Tecnológico de Monterrey, México

    • 📜 Thesis: Desarrollo de un Protocolo para Redes Inalámbricas de Sensores
    • 🏆 Honors: Valedictorian of postgraduate graduation, IEEE & WIE (Vice President), Excellence Scholarship
    • 📊 Final GPA: 98

  • Maestría en Ciencias en Ingeniería Electrónica (Telecomunicaciones) (2007 – 2009) – Tecnológico de Monterrey, México

    • 📜 Thesis: Desarrollo de una red P2P con la seguridad del DNS
    • 🏆 Honors: Excellence Mention, Excellence Scholarship
    • 📊 Final GPA: 96

  • Ingeniería Electrónica (2002 – 2007) – Universidad Pontificia Bolivariana, Colombia

    • 📜 Thesis: Diseño y Construcción de un Sistema de Conteo de Fotones
    • 🏆 Honors: Proposed for Honors Mention
    • 🔬 Research Group: Optics and Spectroscopy

💼 Work Experience

  • Universidad del Istmo, Guatemala (Julio 2022 – Present)

    • 📡 Teaching Networks, Systems, and Telecommunications Services

  • Comisión Europea (Octubre 2019 – Present)

    • 🔍 Evaluator in the field of Frontier Technologies

  • Universidad Panamericana (Enero 2016 – Present)

    • 💻 Teaching Algorithm Analysis, Advanced C++ Programming, Research Methodology, and Data Science Projects

  • TECNOAP – Ternium (Junio – Diciembre 2015)

    • 🏭 Worked on Automation, Image Processing, and Surface Inspection Systems

  • Universidad TecMilenio (Mayo – Diciembre 2015)

    • 🔐 Taught Telecom Administration, IT Security, and Research Methods in Master’s in IT

  • Politecnico di Torino, Italy (Enero – Junio 2014)

    • 📶 Research on WiFi Direct networks – Performance analysis and implementation

🏅 Awards & Honors

  • 🏆 Valedictorian of Postgraduate Graduation – Tecnológico de Monterrey
  • 📜 IEEE & WIE Vice President (IEEE Women in Engineering)
  • 🎖 Excellence Scholarship (Doctorate & Master’s) – Tecnológico de Monterrey
  • 🏅 Excellence Mention – Master’s in Engineering
  • 🔬 Proposed for Honors Mention – Bachelor’s Thesis in Electronics

Publication Top Notes:

A smart glove to evaluate Parkinson’s disease by flexible piezoelectric and inertial sensors

Emphasizing the Early Phases of the Software Development Process Before Deploying Smart Contracts

Environmental odor detection and classification with electronic nose system

Integrated Dynamic Power Management Strategy with a Field Programmable Gate Array-Based Cryptoprocessor System for Secured Internet-of-Medical Things Networks

Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

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Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award 

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Professional Profile:

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Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

  • Bachelor of Science in Mechanical Engineering (English)
    University of Gaziantep, 2009
  • Master of Science in Mechanical Engineering (English)
    University of Gaziantep, 2011
  • Ph.D. in Mechanical Engineering (English)
    University of Gaziantep, 2016
    (Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience 💼

  • Research Assistant
    Department of Mechanical Engineering, University of Gaziantep, 2010-2016
  • Assistant Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
  • Associate Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements 🏆

  • Supervised several Ph.D. and M.Sc. theses, including:
    • Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
    • Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
    • Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
    • Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
  • Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:
    • Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
    • Concentrated Solar Collector for Afyon Province solar data (2022-2023)
    • Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors 🏅

  • Received TÜBİTAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

Publication Top Notes:

Drought-induced oxidative damage and antioxidant responses in peanut (Arachis hypogaea L.) seedlings

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysisEconomics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

CITED:124
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Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award

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Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award 

Mr. Yongnan Xu, Sichuan University, China

Mr. Yongnan Xu is a dedicated researcher and scholar at Sichuan University, where he focuses on multi-objective optimization, integrated space-air-ground networks, unmanned aerial vehicle (UAV) networks, and neural networks. He earned his B.S. degree from Shenzhen University and an M.S. degree in Electronic Information from Sichuan University. With three SCI papers, one conference paper, and two patents to his name, Mr. Xu has made significant contributions to the field, particularly in enhancing channel capacity fairness for ground devices in integrated networks and improving neural network efficiency through joint optimization techniques. His ongoing research projects include developing satellite internet support technology and high-temperature gas measurement technologies. Mr. Xu’s work is recognized internationally, and he is a nominee for the Best Researcher Award.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Mr. Yongnan Xu is a highly qualified candidate for the Best Researcher Award, recognized for his contributions to the field of electronic information and integrated networks. His academic achievements, innovative research projects, and practical applications position him as a leader in his domain.

Education 🎓

  • B.S. in Engineering
    Shenzhen University
  • M.S. in Electronic Information
    Sichuan University

Work Experience 💼

  • Researcher
    Sichuan University
    Focus: Integrated space-air-ground networks and multi-objective optimization
    Year: 2021 – Present

Achievements 🏆

  • Publications:
    • 3 SCI papers
    • 1 conference paper
    • Filed 2 patents
  • Research Projects:
    1. Research on Satellite Internet Support Technology in Areas with Weak Communication Resources based on Low-orbit Constellation Satellites (2021YFQ0011, Sichuan Province)
    2. Research on High Temperature and High Pressure Gas Measurement Technology of Nuclear Reactor (Horizontal research project of Sichuan University)
  • Citation Index:
    All references cited 9 times

Patents 🛠️

  1. A Multi-Objective Optimization Method for Air-to-Earth Communication Resources based on Pareto Optimal Solution (CN 202311028249.9)
    • Status: Passed the first reading (October 20, 2023)
  2. A Routing Scheme Combining Floyd Algorithm and Reinforcement Learning in LEO Satellite Networks (CN 202410130728.X)
    • Status: Passed the first reading (January 31, 2024)

Awards and Honors 🌟

  • Best Researcher Award (Nomination in Progress)
  • Network of Conservation Educators and Professionals 2017
    • Travel Award to attend Conservation Teaching and Learning Studio
  • EPPS Outstanding Teaching Comet Award
    • 2014, 2015, 2016

Publication Top Notes:

A Multiarea On-Demand Classification Constellation Design for Satellite IoT

Multi-objective Resource Allocation across Multiple IoT Device Categories in Space-Air-Ground Integrated Network