Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award

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Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award 

Prof. Dr. Lorena Barona López, EPN, Ecuador 

Lorena Isabel Barona López is a researcher and professor specializing in computer science and telecommunications, currently affiliated with the Escuela Politécnica Nacional in Quito, Ecuador. She holds a Ph.D. in Computer Science from the Universidad Complutense de Madrid, Spain, where she developed a situational awareness model for 5G mobile networks within the SELFNET architecture. Her academic background also includes a Master’s in Telematic Services and Networking Engineering from Universidad Politécnica de Madrid and a Bachelor’s degree in Electronic and Information Network Engineering from Escuela Politécnica Nacional. Dr. Barona’s research interests encompass 5G networks, software-defined networking (SDN), virtualization, and data analysis. She is an accredited Level 1 researcher by the Ecuadorian Secretariat for Higher Education, Science, and Technology and a member of various international research networks, including Ciencia Digital and Indra Digital Lab. With extensive teaching experience at both national and international universities, she has lectured in areas such as cybersecurity, network security, embedded systems, and system architecture. Dr. Barona also serves as the Executive Editor of the Ciencia Digital journal and has professional experience in systems administration and IT support. She is proficient in both Spanish and English and actively pursues professional development in artificial intelligence, machine learning, programming, and digital pedagogy.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award

Dr. Lorena Isabel Barona López is a distinguished academic and researcher in the fields of Computer Science, 5G networks, Data Analysis, Software-Defined Networks (SDN), and Virtualization. Her extensive research background, innovative contributions to next-generation networking technologies, and commitment to both education and scientific advancement make her an exceptionally qualified candidate for the Best Researcher Award.

👩‍🎓 Education

  • 🎓 Ph.D. in Computer Science
    Universidad Complutense de Madrid, Spain
    (Nov 2013 – Sep 2017)
    📘 Thesis: Modelo de Conciencia Situacional para el Análisis de Datos en Redes Móviles 5G
    🔍 Research Areas: 5G, Data Analysis, SDN, Virtualization

  • 🎓 Master’s in Telematic Services & Networking Engineering
    Universidad Politécnica de Madrid, Spain
    (Sep 2012 – Jul 2013)
    📘 Thesis: Propuesta de Escenarios Virtuales con la Herramienta VNX para Pruebas del Protocolo OpenFlow
    🔍 Focus: OpenFlow, Networks, SDN, Virtualization

  • 🎓 Bachelor’s in Electronic and Information Network Engineering
    Escuela Politécnica Nacional, Ecuador
    (Oct 2004 – Oct 2010)
    📘 Project: IP-based Surveillance System for Condominiums in Ambato
    🔍 Focus: IP, Networks

💼 Work & Teaching Experience

  • 🧠 Researcher, GASS Group
    Universidad Complutense de Madrid
    (Nov 2013 – Jul 2017)
    🧪 Focus on cybersecurity, 5G, and data analysis.

  • 📝 Executive Editor, Ciencia Digital Journal
    (Sep 2017 – Present)

  • 👩‍🏫 Teaching Roles (2011–2025):
    Courses in:

    • Communication Systems, Embedded Systems, Cybersecurity 🔐

    • Network Security, Software Engineering 💻

    • Extended Databases, Operating Systems 🖥️

    • MOOCs and online teaching platforms 🎓

    📍 Institutions:

    • Escuela Politécnica Nacional

    • Universidad Internacional de la Rioja (Spain)

    • Universidad Técnica de Ambato

    • Universidad Metropolitana

    • Universidad de las Américas

  • 🖥️ System Administrator, COMDECSA
    (May 2011 – Sep 2012)

  • 🧪 Lab Assistant, Escuela Politécnica Nacional
    (Sep 2009 – Aug 2010)

🏅 Achievements, Accreditations, and Honors

  • 🥇 Aggregated Researcher Level 1, Ecuador’s Secretaría de Educación Superior, Ciencia y Tecnología (2018)

  • 🌐 Member of:

    • Ciencia Digital Network (2019)

    • International Network Indra Digital Lab, Spain

  • 📜 Extensive professional certifications in:

    • AI & Machine Learning 🤖

    • ICT in Education 💡

    • Cloud Dashboards ☁️

    • Programming (Python 🐍, Java ☕, R 📊)

    • Educational tools and Moodle platforms 🎓

  • 🎖️ Expert in Pedagogical Innovation: flipped classrooms, digital teaching tools, and virtual course design.

Publication Top Notes:

A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks

Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach

Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award

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Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award 

Dr. Liu Suiyang, Xi’an University of Technology, China

Liu Suiyang is from Xianyang, Shaanxi Province, China. She received her B.S. and M.S. degrees in Integrated Circuit Engineering from Xi’an University of Technology in 2019 and 2022, respectively. From 2022 to 2024, she was a Ph.D. student with the Ultra-Large Scale Integrated Circuits Laboratory at Xi’an University of Technology. Since 2021, she has authored 13 articles and contributed to nine inventions. Her research interests include large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits. Ms. Liu was recognized as an Outstanding Graduate of Xi’an University of Technology in 2022 and received the Eighth Shaanxi Province Graduate Innovation Achievement Award in 2024.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Liu Suiyang

Liu Suiyang is a strong candidate for the Best Researcher Award due to her notable academic achievements and contributions to the field of integrated circuit engineering. Her research in large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits demonstrates a high level of technical expertise and innovation.

🎓 Education

  • B.S. in Integrated Circuit Engineering – Xi’an University of Technology (2019)

  • M.S. in Integrated Circuit Engineering – Xi’an University of Technology (2022)

  • Ph.D. Student in Ultra-Large Scale Integrated Circuits Laboratory – Xi’an University of Technology (2022–2024)

💼 Work & Research Experience

  • Ph.D. Student at Ultra-Large Scale Integrated Circuits Laboratory, Xi’an University of Technology (2022–2024)

  • Author of 13 Research Articles (Since 2021) ✍️📄

  • Holder of 9 Invention Patents (Since 2021) 🏅🔬

  • Research Focus:

    • Large-format image sensors 📷

    • High dynamic-range pixels 🌟

    • High-speed column buffer ⚡

    • Organic photodetectors 🏭

    • 3D integrated circuits 🏗️

🏆 Awards & Honors

  • Outstanding Graduate of Xi’an University of Technology (2022) 🎖️

  • Eighth Shaanxi Province Graduate Innovation Achievement Award (2024) 🏅💡

Publication Top Notes:

Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique

High Dynamic Pixel Circuit Based on Variable Integral Capacitance

Inverted ternary OPD based on PEIE

Inverted ternary OPD based on PEIE

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

Assoc Prof Dr. SEDDIK RABHI | Wireless Sensor Networks | Best Researcher Award

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Assoc Prof Dr. SEDDIK RABHI | Wireless Sensor Networks | Best Researcher Award

Assoc Prof Dr. SEDDIK RABHI, University of Adrar, Algeria

Dr. Seddik Rabhi, born on August 21, 1987, in Tamantit, Adrar, Algeria, is a distinguished academic in the field of computer science. He completed his Baccalaureate in Natural and Life Sciences in 2004 and pursued higher education in computer science, earning an Engineer degree in Advanced Information Systems from Tahri Mohamed University, Bechar, in 2009. He further advanced his studies with a Magister in Simulation and Artificial Intelligence from the University of Science and Technology of Oran in 2014, and a Ph.D. in Optimization of Localization Algorithms in Wireless Sensor Networks from Ferhat Abbas University Setif 1 in 2021. Dr. Rabhi holds an HDR from Ahmed DRAIA University – Adrar, awarded in 2022. His professional career includes roles as Head of IT Unit at the Industry and Mines Directorate and various academic positions at the Department of Computer Science, University of Adrar, where he is currently a Lecturer Class A and Head of the SI Specialty in Intelligent Systems. His teaching portfolio encompasses courses in information systems, artificial intelligence, data mining, and neural networks.

Professional Profile:

Summary of Suitability

Dr. Seddik Rabhi’s research is primarily centered on optimization algorithms for localization in wireless sensor networks (WSNs). His work includes various metaheuristics and bio-inspired algorithms, such as the fruit fly optimization algorithm, chicken swarm optimization, and hybrid approaches, which are significant for improving the accuracy and efficiency of localization in WSNs.

Education

  1. Baccalaureate (June 2004)
    • Al-Maghili High School, Adrar, Algeria
    • Option: Natural and Life Sciences
  2. Engineer in Computer Science (2004-2009)
    • Tahri Mohamed University, Bechar – Algiers
    • Option: Advanced Information Systems
    • End of Study Topic: Application of Ant Colony Algorithm to Classification of Satellite Images
    • Mention: Very Good
  3. Magister in Computer Science (2011-2014)
    • University of Science and Technology of Oran (USTO)-Mohamed Boudiaf
    • Option: Simulation and Artificial Intelligence
    • Subject: Contribution of a Bio-inspired Metaheuristic in Image Processing
    • Mention: Very Good
  4. Ph.D. in Computer Science (2015-2021)
    • Ferhat Abbas University Setif 1 – Setif, Algeria
    • Subject: Optimization of Localization Algorithms in Wireless Sensor Networks
    • Mention: Very Honourable
  5. HDR (Habilitation à Diriger des Recherches) (June 1, 2022)
    • Ahmed DRAIA University – Adrar, Algeria
  6. English Studies (October 2022 – Present)
    • UFC University of Adrar, Algeria

Work Experience

  1. Head of IT Unit (December 2009 – September 2015)
    • Industry and Mines Directorate – Adrar
    • Responsibilities: Payroll Service, Statistics, Projects Execution, Installation and Administration of Intranet
  2. Assistant Master (MAB) (October 2015 – September 2017)
    • Department of Computer Science, University of Adrar
  3. Assistant Lecturer (MAA) (October 2017 – April 2021)
    • Department of Computer Science, University of Adrar
  4. Lecturer Class B (May 2021 – May 2022)
    • Department of Computer Science, University of Adrar
  5. Lecturer Class A (June 2022 – Present)
    • Department of Computer Science, University of Adrar
  6. Departmental Scientific Committee Member (November 2022 – Present)
    • Department of Computer Science, University of Adrar
  7. Chairman of PhD Training Committee (CFD) (December 2022 – Present)
    • Branch of Computer Science, Option: Artificial Intelligence, Department of Computer Science, University of Adrar
  8. Head of SI Specialty (Master in Computer Science, Option of Intelligent Systems) (December 2020 – Present)
    • Department of Computer Science, University of Adrar

If you need any additional details or further assistance, feel free to ask!

Publication top Notes:

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