Emmanouil Zoulias | Computer Science | Best Researcher Award

Published on 16/04/202516/04/2025 by Citation Awards

Emmanouil Zoulias | Computer Science | Best Researcher Award

Dr Emmanouil Zoulias, Department of Nursing, National and Kapodistrian University of Athens, NKUA, Greece

Emmanouil A. Zoulias is a highly experienced electrical and computer engineer with specialization in health informatics and biomedical technology. Born on May 25, 1973, he currently serves as a Laboratory Teaching Staff member at the Faculty of Nursing, School of Health Sciences, National and Kapodistrian University of Athens 🇬🇷. His academic journey and professional career reflect a unique blend of technical expertise and medical application, with a strong foundation in medical informatics. A PhD holder with research experience in advanced data mining methods for medical diagnostics, Dr. Zoulias is known for his contributions to digital health systems, telemedicine, and biomedical engineering. He is an active member of notable professional bodies such as the IEEE, the Greek Biomedical Informatics Association, and the National Technical Chamber of Greece. Emmanouil is a team player, lifelong learner, and passionate educator with a vision to advance healthcare technologies for better patient outcomes. 🧠💻📊

Publication Profile

google scholar

Education

Emmanouil Zoulias holds a PhD in Biomedical Informatics (2012) from the National Technical University of Athens and the Medical School of the University of Patras. His doctoral thesis focused on developing a decision-support system for diagnosing thyroid smears using advanced data mining techniques 🔬📈. He also earned an MSc in Biomedical Instrumentation Engineering (1997) from the University of Dundee, UK, where he studied medical equipment, signal measurements, and imaging systems, completing a dissertation on telemetry systems in anesthesia monitoring 🏥📡. He began his academic journey with a Diploma in Electrical & Computer Engineering (1996) from the National Technical University of Athens, with a specialization in electronics, telecommunications, and computing systems ⚙️💡. His diploma project involved designing data management tools for telemedicine databases. Emmanouil’s academic path demonstrates a consistent commitment to integrating engineering with healthcare innovation. 📚🔧🩺

Experience

Emmanouil Zoulias has over two decades of diverse experience in health informatics, biomedical systems, and IT engineering. Since January 2020, he has been part of the Laboratory Teaching Staff at the National and Kapodistrian University of Athens, teaching Biomedical and Health Informatics 🧑‍🏫💡. Previously, he served as a Computer Engineer (2008–2018) at the National Centre of Public Administration and Local Governance. His earlier roles include IT Engineer at the 1st Regional Health Care System (2004–2008), Electronic Engineer at ISAP S.A. for urban railway signaling (2003–2004), and Project Manager at ANKO S.A. (2002–2003). He also worked as Research Manager at the National Centre for Scientific Research “Demokritos” (2000–2002), contributing to EU-funded projects 🌍📊. Emmanouil’s multidisciplinary expertise spans public health, telemedicine, traffic systems, and biomedical research. His career showcases a dynamic integration of technical problem-solving and public service impact. 🧪🖥️🔌

Awards and Honors

While no individual honors or awards were specifically listed in the CV, Emmanouil Zoulias’ recognition can be seen through his active membership in prestigious professional associations and his long-standing contributions to both academia and public service. He became a member of the National Technical Chamber of Greece in 1997 🏛️, reflecting his early professional credibility. In 2017, he joined the Hellenic Unit of Biomedical Instrumentation, followed by membership in the IEEE in 2018, acknowledging his alignment with global standards in engineering excellence 🌐🔧. Most recently, in 2020, he joined the Greek Biomedical Informatics and Health Informatics Association, recognizing his growing influence in medical data systems and informatics innovation 💻🔍. His consistent engagement with interdisciplinary fields and national organizations is a testament to his respected status in the Greek engineering and health informatics community.

Research Focus

Dr. Emmanouil Zoulias’ research centers on the integration of health informatics, biomedical instrumentation, and advanced computational methods in medical diagnostics 🧠💾. His PhD research pioneered the use of data mining techniques for supporting diagnostic decisions in thyroid FNA smears, demonstrating his vision for intelligent, automated healthcare solutions. His broader interests encompass telemedicine systems, signal processing, biomedical device development, and clinical information management systems 📊🩺. Through his academic and professional roles, he continues to explore how technology can improve patient monitoring, diagnostic accuracy, and healthcare delivery. As a university instructor, Emmanouil promotes interdisciplinary knowledge that merges medical science with informatics, aiming to equip future healthcare professionals with the tools to navigate a tech-driven clinical environment. His work stands at the intersection of engineering, computer science, and medicine, targeting innovations that enhance both individual care and public health infrastructures ⚙️💡🌍.

Publication Top Notes

Forecasting transmission and distribution system flexibility needs for severe weather condition resilience and outage management. 🌩️📉🔌📊
Active System Management Approach for Flexibility Services to the Greek transmission and distribution system. 🇬🇷⚙️🔋📡
Introducing maker movement in educational robotics: beyond prefabricated robots and “black boxes”. 🤖🎓🔧📚
Computer-aided diagnosis of thyroid malignancy using an artificial immune system classification algorithm. 🧠💻🧬🔍
A flexibility platform for managing outages and ensuring the power system’s resilience during extreme weather conditions. 🌪️🔌🛠️📈
Development and implementation of a flexibility platform for active system management at both transmission and distribution level in Greece. 🏗️📊🇬🇷🔋
Impacts of robotic assisted surgery on hospital’s strategic plan. 🏥🤖📈📋
The route to patient safety in robotic surgery. 🛡️🧑‍⚕️🤖❤️
A review of techniques to counter spam and spit. 📧🚫🕵️‍♂️🔐
Organization Style and Its Effect on Employee Satisfaction and Personal Performance. 🏢😊📈👥

Pedro Stalyn Aguilar Encarnacion | Computer Science | Best Research Article Award

Published on 15/04/2025 by Citation Awards

Pedro Stalyn Aguilar Encarnacion | Computer Science | Best Research Article Award

Prof Pedro Stalyn Aguilar Encarnacion, Escuela Superior Politécnica de Chimborazo, Ecuador

Pedro Stalyn Aguilar Encarnación 🇪🇨 is an experienced software engineer, researcher, and educator currently serving as a professor at the Escuela Superior Politécnica de Chimborazo (ESPOCH). With a strong foundation in programming and systems development, he integrates technical expertise with business acumen, holding an MBA alongside advanced degrees in Software Engineering. His academic journey reflects a commitment to innovation and excellence, culminating in his ongoing PhD in Computer Science. Pedro has contributed significantly to the academic community through impactful research in artificial intelligence, software engineering, and web technologies. Passionate about empowering future IT professionals, he actively participates in research projects and international conferences. He is known for developing intelligent platforms for environmental monitoring and sustainable agriculture. His diverse experiences in academia and industry, paired with leadership in research, make him a dynamic figure in Ecuador’s tech-education landscape.

Publication Profile

google scholar

Education

Pedro Aguilar holds multiple degrees in Information Technology and Business. He earned his Bachelor’s Degree in Computer Systems Engineering from the Escuela Superior Politécnica de Chimborazo in 2018. He later pursued a Master’s in Software from the Universidad Técnica de Machala, graduating in 2023. To complement his technical skills with business strategy, he obtained a Master in Business Administration (MBA) from the Universidad Internacional de La Rioja, Spain, in 2024. Continuing his academic excellence, he is currently a PhD candidate in Computer Science at the Escuela Politécnica Nacional as of 2024. His formal education is further enhanced by certifications in English proficiency (B1), leadership, talent management, and organizational culture from institutions such as MIU City University Miami, Universidad Nacional de Chimborazo, SETEC, and IECAP. This diverse educational background reflects his dual focus on technical innovation and strategic management in the digital age.

Experience

Pedro Aguilar’s professional journey spans both the private sector and academia. He began his career as a Hardware and Software Technician at TEINCORP (2009–2011) and then served as a Full Stack Developer at CYMOGSYS in 2017. His work in academia began in 2018 at ESPOCH, where he held various roles such as IT Support Analyst, Registration Analyst, and currently serves as a Professor and Researcher since April 2023. His teaching covers programming, mobile computing, and web technologies, shaping the next generation of software engineers. Pedro’s experience is also deeply rooted in research and innovation, leading projects that use smart technologies like IoT and Progressive Web Apps. His interdisciplinary approach—blending IT systems with real-world applications like agriculture and water monitoring—demonstrates his commitment to socially impactful solutions. With over 5 years in academia and multiple years in industry, Pedro has developed a well-rounded, hands-on approach to technology and education.

Awards and Honors

Pedro Aguilar has earned multiple recognitions for his academic involvement and leadership. He was acknowledged by ESPOCH as a Reviewer at the II International Congress on Innovation, Science, and Technology (May–Nov 2023), reflecting his contributions to scientific quality and peer evaluation. He also received certifications in Leadership and Training from SETEC and MIU City University Miami, recognizing his ability to lead and inspire teams in technological and educational settings. His English language proficiency (B1) was certified by the Universidad Nacional de Chimborazo, supporting his active participation in international collaborations. In addition, he completed over 180 hours of certified training in areas like diversity, inclusion, human resources, organizational well-being, and corporate image—enhancing his ability to lead educational and research projects with a human-centered focus. While his academic and research achievements shine, his consistent pursuit of self-improvement stands as a testament to his professional excellence.

Research Focus

Pedro Aguilar’s research focus lies at the intersection of Software Engineering, Artificial Intelligence, and Information Systems for societal applications. His projects are strongly rooted in smart agriculture, environmental monitoring, and IoT systems, addressing real-world challenges through data-driven platforms. Notably, he contributed to the creation of a Predictive Platform for Cocoa Moniliasis Detection using sensors and AI, benefiting Ecuadorian agricultural zones. Currently, he is involved in developing an Intelligent Geoportal to monitor potable water quality using IoT technologies. Pedro is particularly interested in Progressive Web Applications (PWAs) and machine learning models to improve decision-making in critical sectors. His work integrates semantic web technologies, mobile computing, and vehicular networks (VANETs) to create scalable, sustainable digital solutions. With publications in international high-impact journals and conference proceedings, his research continues to evolve with emerging technologies while staying aligned with sustainable development and technological equity in Latin America.

Publication Top Notes

🧠 Desarrollo de un modelo predictivo utilizando técnicas de aprendizaje supervisado para detectar la moniliasis en plantas de cacao de la Provincia de Orellana
🌱 Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture
🌾 Prevention of cocoa moniliasis using Progressive Web Applications and sensor data in the province of Francisco de Orellana
📊 Predictive Model in Production through Progressive Web Applications to Forecast Moniliasis in Cacao
🚗 Vehicular Ad-Hoc Network (VANET)

Iustina Ivanova | Computer Science | Best Researcher Award

Published on 09/12/202409/12/2024 by Citation Awards

Mrs. Iustina Ivanova | Computer Science | Best Researcher Award

Mrs. Iustina Ivanova, Fondazione Bruno Kessler, Italy

Mrs. Iustina Ivanova is a researcher at Fondazione Bruno Kessler in Italy, specializing in the application of Artificial Intelligence (AI) in real-world contexts. Her early foundation in software engineering, coupled with her fascination for computer vision, has fueled her pursuit of impactful solutions in diverse fields such as sports and smart agriculture. Notably, her distinction-earning Master’s in AI, focusing on neural networks for object detection, highlights her dedication to advancing cutting-edge technology.

Education:

Her academic journey began with a Specialist degree in Software Engineering from Bauman Moscow State Technical University, Russia (2007-2013), followed by a Master of Science in Artificial Intelligence from the University of Southampton, United Kingdom, which she completed with distinction in 2018. Although she pursued a PhD in Computer Science at the Free University of Bolzano, Italy, from 2019 to 2022, she opted to discontinue her doctoral studies to focus on professional endeavors.

Professional Profiles:

ORCID Profile

Scopus Profile

Professional Experience:

Researcher
Foundazione Bruno Kessler (Italy)
October 2023 – Present
Engaged in advancing Artificial Intelligence in smart agriculture, with a focus on step-ahead forecasting using sensor data. Conducted experiments with machine learning models to enhance prediction accuracy and decision-making in agricultural systems.

Data Science Moderator
Netology Company (Russia)
May 2019 – October 2020
Developed and delivered lectures on Statistics and Mathematics for Data Science as part of the “Data Science” course. Designed accessible educational materials hosted online for wider learning opportunities (Netology Statistics Repository).

Computer Vision Data Scientist
OCRV Company (Russia)
April 2019 – November 2019
Worked on a video-based tracking system for railway operations. Focused on detecting objects and people in video data, measuring working hours, and deploying advanced computer vision algorithms to improve workplace efficiency.

Teacher of Informatics and Mathematics
Repetitor.ru (Russia)
August 2013 – November 2017
Organized and facilitated engaging study sessions to prepare high school students for final exams in informatics and mathematics. Successfully guided approximately 30 students to pass exams and gain university admissions.

Research Interests:

Mrs. Ivanova’s research interests center on computer vision, machine learning, and the integration of AI technologies into diverse domains such as smart agriculture and sports analytics. She has made notable contributions through her research project “Sensors and Data for the Analysis of Sports Activities (SALSA).” This project, focusing on computer vision solutions and recommender systems for sport climbers, resulted in several well-received publications. Her work bridges technology and user experience, demonstrating innovation and practical value in AI-driven applications.

Publications:

Climbing Crags Repetitive Choices and Recommendations
2023-09-14 | Conference paper | DOI: 10.1145/3604915.3610652 | Contributors: Iustina Ivanova

Recommender Systems for Outdoor Adventure Tourism Sports: Hiking, Running and Climbing
2023-07-18 | Journal article | DOI: 10.1007/s44230-023-00033-3 | Contributors: Iustina Ivanova; Mike Wald

How Can We Model Climbers’ Future Visits from Their Past Records?
2023-06-16 | Conference paper | DOI: 10.1145/3563359.3597408 | Contributors: Iustina Ivanova; Mike Wald

Introducing Context in Climbing Crags Recommender System in Arco, Italy
2023-03-27 | Conference paper | DOI: 10.1145/3581754.3584120 | Contributors: Iustina Alekseevna Ivanova; Mike Wald

Map and Content-Based Climbing Recommender System
2022 | Conference paper | DOI: 10.1145/3511047.3536416 | Contributors: Ivanova, I.A.; Buriro, A.; Ricci, F.

Climber Behavior Modeling and Recommendation
2021 | Conference paper | DOI: 10.1145/3450613.3459658 | Contributors: Ivanova, I.

Climbing Route Difficulty Grade Prediction and Explanation
2021 | Conference paper | DOI: 10.1145/3486622.3493932 | Contributors: Andric, M.; Ivanova, I.; Ricci, F.

Knowledge-Based Recommendations for Climbers
2021 | Conference paper | EID: 2-s2.0-85116934926 | Contributors: Ivanova, I.; Andrić, M.; Ricci, F.

Climbing Activity Recognition and Measurement with Sensor Data Analysis
2020 | Conference paper | DOI: 10.1145/3395035.3425303 | Contributors: Ivanova, I.; Andric, M.; Janes, A.; Ricci, F.; Zini, F.

Video and Sensor-Based Rope Pulling Detection in Sport Climbing
2020 | Conference paper | DOI: 10.1145/3422844.3423058 | Contributors: Ivanova, I.; Andric, M.; Moaveninejad, S.; Janes, A.; Ricci, F.

Conclusion:

Mrs. Iustina Ivanova is a strong candidate for the Research for Best Researcher Award, given her impressive contributions to recommender systems and outdoor adventure tourism. Her work is not only academically robust but also highly relevant in practical contexts, addressing modern challenges in personalization and activity recognition.

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