Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

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Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova, Bulgarian Academy of Science, Bulgaria

Professor Velislava Noreva Lyubenova is a distinguished Bulgarian researcher in the field of biotechnological systems and process control. Currently serving as the Scientific Secretary of the Institute of Robotics at the Bulgarian Academy of Sciences (IR-BAS), she also leads the Section of Mechatronic Bio/Technological Systems. With over three decades of research experience, she holds two doctoral degrees, including a Doctor of Technical Sciences, and has developed innovative methodologies for the monitoring and adaptive control of biotechnological processes. Professor Lyubenova has led or participated in more than 30 national and international research projects, including EU-funded Erasmus and Structural Fund programs. She has supervised multiple PhD students, delivered invited lectures at prestigious institutions globally, and published over 200 papers in high-impact journals. Her notable accolades include the “Marin Drinov” Young Scientist Award from BAS and memberships in international scientific organizations. A skilled communicator and academic leader, she continues to advance interdisciplinary research in bioengineering and control systems.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Prof. Velislava Noreva Lyubenova

Prof. Velislava Noreva Lyubenova exemplifies the qualities of a top-tier candidate for the Best Researcher Award, with over three decades of sustained excellence in biotechnological process monitoring and control, and a robust leadership profile in national and international R&D projects. With dual doctoral degrees (Ph.D. and Doctor of Technical Sciences) and a long-standing affiliation with the Bulgarian Academy of Sciences, she has led or participated in over 29 major research projects—spanning EU programs, Structural Funds, and academic exchanges.

🎓 Education & Qualifications

  • 🧠 Doctor of Technical Sciences, Institute of Robotics – BAS (2016)

  • 🎓 Ph.D. in Technical Sciences, TU-Sofia (1988–1993) – Dissertation on parameter estimation and state variables in biotechnological processes

  • 📡 Radio Electronics Engineer, TU-Sofia, Faculty of Radioelectronics (1982–1987)

💼 Work Experience

  • 👩‍🔬 Scientific Secretary, Institute of Robotics – BAS & Member of PNEC Technical Sciences (2022–present)

  • 👩‍🏫 Professor & Head, Section “Mechatronic Bio/technological Systems”, IR-BAS (2017–present)

  • 🧪 Associate Professor, Bioengineering, ISRI-BAS (2015–2016)

  • 🧬 Associate Professor, Section “Bioengineering”, ISIR-BAS (2010–2015)

  • 🤖 Associate Professor, Adaptive & Robust Control Section, IUSI-BAS (2005–2010)

  • 🧠 Associate Professor, Knowledge-Based Management Systems, IUSI-BAS (2000–2005)

  • 🔬 Research Fellow, Adaptive Control & Knowledge-Based Systems, IUSI-BAS (1994–2000)

  • 👩‍💻 Research Fellow, Adaptive Control Section, Bioprocessing & Automation, BAS (1992–1994)

🏆 Achievements

  • 🧪 Developed innovative technologies for monitoring and control of biotechnological processes

  • 📊 Led and participated in over 29 projects (15 international, 14 national)

  • 🧑‍🏫 Supervised 3 Ph.D. students (2 completed, 1 ongoing)

  • 🖥️ Expert in MATLAB, LABVIEW, and Microsoft Office for biotechnological control systems

  • 🌍 Delivered 21 invited lectures (15 abroad, 6 in Bulgaria)

  • 📚 Published 200+ papers, many in high-impact journals like AIMS Bioengineering and Engineering in Life Sciences

🥇 Awards & Honors

  • 🏅 Marin Drinov Young Scientist Award, General Assembly of BAS (1998)

  • 🧬 Reviewer for major journals: Journal of Bioprocess and Biosystems Engineering, Processes, etc.

  • 📝 Editorial Board Member of multiple peer-reviewed journals

  • 🧑‍🔬 Member of multiple scientific and expert committees at BAS (including examination and academic jury panels)

  • 🌐 Member of 2 international and 1 national scientific organizations

Publication Top Notes:

A System Designed for Modelling, Monitoring, and Control of Fermentation Processes, Powered by Metaheuristic Algorithms

Contemporary Bioprocesses Control Algorithms for Educational Purposes

Simultaneous State and Kinetic Observation of Class-Controllable Bioprocesses

Escherichia coli cultivation process modelling using abc-ga hybrid algorithm

Investigation of fermentation regimes for the production of low-alcohol and non-alcohol beers

Metaheuristic Algorithms: Theory and Applications

Model-based monitoring of biotechnological processes-a review

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

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Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan

Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

  • 📍 B.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1982

  • 📍 M.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1986

  • 🌎 Ph.D. in Electrical and Computer Engineering
    University of Arizona, Tucson, USA – 1993

💼 Work Experience

  • 👨‍🏫 Distinguished Professor
    Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
    – Current

🌟 Key Achievements

  • 🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)

  • 🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems

  • 🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges

  • 📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

  • 🥇 Recognized as a Distinguished Professor at NYUST

  • 🏆 Multiple accolades and recognitions for industry collaboration and academic excellence

  • 🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award

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Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award 

Prof. Dr. Nelson Gutierrez, UTE University, Ecuador

Dr. Nelson Ramiro Gutiérrez Suquillo is an Ecuadorian researcher and academic known for his interdisciplinary work at the intersection of robotics, renewable energy, and intelligent industrial systems. He serves as a research lecturer at Universidad UTE since 2015 and is currently pursuing a Ph.D. in Robotics. He holds master’s degrees in Renewable Energies & Energy Sustainability and Materials Science & Technology, as well as a bachelor’s degree in Electronic Engineering and Information Networks. His research spans AI-driven diagnostics, mobile robotics for humanitarian applications, sustainable mechanical design, and advanced signal processing. With publications in journals such as Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE, his work demonstrates a strong commitment to practical, impactful innovation. Dr. Gutiérrez combines technical depth with applied focus, contributing significantly to Ecuador’s academic and technological landscape through research, teaching, and development projects.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Nelson Ramiro Gutiérrez Suquillo

Nelson Ramiro Gutiérrez Suquillo stands out as a versatile and impactful researcher whose work bridges robotics, renewable energy, AI-driven diagnostics, and sustainable engineering. His strong academic background, ongoing PhD in robotics, and dual master’s degrees in renewable energy and materials science demonstrate a deep and interdisciplinary technical foundation.

🎓 Education

  • 🧠 Ph.D. in Robotics (Ongoing) – Focused on mobile robotics, system identification, and intelligent systems

  • ⚡ Master’s in Renewable Energies & Energy Sustainability – Expertise in sustainable technologies and systems

  • 🔬 Master’s in Materials Science & Technology – Specialized in material behavior and simulation

  • 📡 Bachelor’s in Electronic Engineering and Information Networks – Strong foundation in electronics and industrial communication

💼 Work Experience

  • 👨‍🏫 Docente Investigador (Research Lecturer) – Universidad UTE (Since 2015)
    Leads research in robotics, AI for diagnostics, and energy sustainability

  • 🤖 Collaborator on applied robotics projects, including mobile platforms and humanitarian demining

  • ⚙️ Industrial systems innovator: developed prototypes for diagnostics and sustainable machinery

🏆 Achievements & Publications

  • 📚 Published in Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE

  • 🔍 Contributions include:

    • AI for predictive maintenance 🧠

    • System modeling of differential robots 🤖

    • Sustainable mechanical systems 🌱

    • Wavelet-based sEMG signal processing 🧾

    • ABS brake simulation using finite elements 🛞

🥇 Awards & Honors

  • 🏅 Recognized at national and institutional levels for contributions to sustainable innovation and applied robotics

  • 🧑‍🔬 Active leader in Ecuador’s academic and research ecosystem, mentoring students and spearheading interdisciplinary projects

Publication Top Notes:

Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution

Optimization of Fault Prediction by A.I. in Industrial Equipment: analysis of the operating parameters of a Bench Grinder

Application of Model-Based Design for Filtering sEMG Signals Using Wavelet Transform

Diseño de Robot Móvil para tareas de Desminado Humanitario

Análisis por el método de elementos finitos del comportamiento de las pastillas de freno ABS con base de acero y zinc discretizando el elemento continuo utilizando software CAE

Analysis by the Finite Element Method of the Behavior of the Brake Pads Using CAE Software

Diseño y construcción de un prototipo para la extracción continua de aceite de la semilla Sacha Inchi con un proceso de prensado en frío

 

Mr. Xi Tianyu | Automation Award | Best Researcher Award

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Mr. Xi Tianyu | Automation Award | Best Researcher Award

Mr. Xi Tianyu, Northeastern University, China

Dr. Xi Tianyu is a professor and doctoral supervisor at the Northeastern University School of Architecture, specializing in sustainable architecture, architectural technology, and green living. He has led over 10 national and provincial research projects, published more than 50 papers, and holds three authorized patents. He has contributed to national and industry standards, authored textbooks, and received multiple awards for teaching and research excellence. Dr. Xi is actively involved in several professional committees, including the China Urban Science Research Association and the China Engineering Construction Standardization Association, and is a member of international organizations such as ISIAQ and AIJ.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Xi Tianyu is a highly accomplished researcher in sustainable architecture, with extensive contributions to green building technologies, energy conservation, and thermal comfort optimization. His leadership in over 10 national and provincial research projects, along with 50+ published papers and multiple patents, demonstrates his strong research impact. His involvement in national standards development, textbook authorship, and architectural design competitions further highlights his influence in academia and industry. Given his outstanding research, academic leadership, and numerous accolades, Dr. Xi Tianyu is a highly suitable candidate for the Best Researcher Award.

📚 Education & Work Experience

🎓 Doctor of Engineering
🏫 Professor & Doctoral Supervisor at Northeastern University School of Architecture

🏆 Achievements

🔬 Led 10+ research projects (national, provincial, and local), including:

  • 🇨🇳 National Natural Science Foundation Key Project sub-projects
  • 🎯 National Natural Science Foundation Youth Fund

📄 Published 50+ research papers
📜 3 authorized patents
📘 Co-authored 5 national & industry standards
📖 Contributed to 2 textbooks & authored 1 book (funded by National Publishing Fund)

🎨 Guided 10+ international & domestic architectural design competitions, winning:
🥇 Gu Yu Cup First Prize
🏅 AIM Cup Special Prize
🥉 China Habitat Environment Design Annual Award Bronze Award (2023)

🎖️ Awards & Honors

🏆 Northeastern University Teaching Achievement Awards:

  • 🥇 First Prize (2024)
  • 🥈 Second Prize (2022)
    🎓 Excellent Teaching Plan Award
    📜 Excellent Homework Guide Award
    📖 Excellent Paper Award (Chinese Higher Education Architecture Teaching Guidance Committee)

Publication Top Notes:

Analysis of the Characteristics of Heat Island Intensity Based on Local Climate Zones in the Transitional Season of Shenyang

 

Optimization of Residential Indoor Thermal Environment by Passive Design and Mechanical Ventilation in Tropical Savanna Climate Zone in Nigeria, Africa

 

A preliminary study of multidimensional semantic evaluation of outdoor thermal comfort in Chinese

 

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

A Review of Thermal Comfort Evaluation and Improvement in Urban Outdoor Spaces

Mr. Joel Adams | Automation | Best Researcher Award

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Mr. Joel Adams | Automation | Best Researcher Award 

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

🎓 Education

  • Florida International University
    • Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
    • Master of Science in Mechanical Engineering (Summer 2024) 🛠️ (GPA: 3.87)
    • Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) 🏅 (GPA: 3.72)
  • Miami Dade College
    • Associate in Arts Degree (Highest Honors) (Summer 2015) 🏆 (GPA: 3.95)

💼 Work Experience

  • Applied Research Center, Florida International University (March 2019 – Present)
    Research Assistant
    • 🚀 Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
    • 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
    • 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

  • 🎖️ Highest Honors Graduate – Miami Dade College
  • 🏅 Honors College Graduate – Florida International University
  • 🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
  • 🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
  • 🏅 Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling