Rocsana Bucea-Manea-Țoniş | AI applied | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Rocsana Bucea-Manea-Țoniş | AI applied | Best Researcher Award

Professor | National University of Physical Education and Sport | Romania

Dr. Rocsana Bucea-Manea-Ţoniş is a multidisciplinary academic combining educational technology, sport sciences, marketing and innovation. She develops and teaches courses that merge digital pedagogy with sport and management, and she coordinates dissemination activities in several EU projects. Her work emphasizes practical digital transformation in higher education, circular economy models for sustainability and AI-enabled pedagogy. She has authored over a hundred scientific papers and books and participates actively on editorial boards and in international research consortia. Her profile blends teaching, project leadership and applied research aimed at improving institutional practices and community outreach.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Dr. Rocsana Bucea-Manea-Țoniş’s education spans health, economics and engineering management, providing a broad foundation for her interdisciplinary work. She trained as a physiotherapist and completed advanced studies in marketing and information systems at the Faculty of Commerce, later pursuing a master’s in financial accounting and banking information systems auditing. Her doctoral research in engineering and management of technological systems focused on SME support systems and digital tools. Complementary trainings include instructional design, AutoCAD, web-marketing and statistical analysis with IBM SPSS. This mix of clinical, managerial and technical education supports her applied research in digital learning, sustainability and innovation management.

Professional Experience

Dr. Rocsana Bucea-Manea-Țoniş is career combines academic teaching with practical roles in e-learning and web development. She has served as an associate professor in sport and physical education faculties, teaching marketing, management, research methodology and statistics, and she led distance-learning management and faculty training on VR/AR and e-learning platforms. Her responsibilities include webmaster and editor roles for academic journals, development of responsive websites and administration of PKP OJS/OCS platforms, plus participation as an expert in multiple national and EU projects. Earlier roles included banking marketing consultancy and hands-on experience as a swimming instructor, all of which shaped her student-centred, technology-enabled teaching approach.

Awards and Honors

Dr. Rocsana Bucea-Manea-Țoniş’s profile reflects recognition through competitive project roles, invitations to international short-term scientific missions, and participation in Erasmus teaching mobilities and Marie Skłodowska-Curie staff exchanges. She has been selected as dissemination manager or expert in several EU initiatives related to AI in education, sustainable development, and vocational training, and her editorial board memberships and journal contributions underscore peer recognition. Her awards and formal honors derive largely from successful competitive grants, project leadership appointments and institutional acknowledgements for contributions to digitalization and teacher professional development.

Research Focus

Her research centers on the intersection of digital transformation, AI-enabled pedagogy and sustainable development. She investigates how educational institutions adopt and scale AI tools, how social marketing and nudging affect consumer and student behavior, and how circular economy models can be embedded in regional innovation ecosystems. Methodologically she uses survey design, structural equation modeling and applied case studies to produce empirically grounded policy and practice recommendations. She also explores sport science topics that link mindfulness, yoga and athletic performance, emphasizing mental health and injury prevention within elite sport contexts.

Publication Top  Notes

  1. Title: Harnessing Artificial Intelligence in Sports Training: Evidence from Romanian Professionals Using SEM Analysis 
    Published Year: 2025
    Citation: 1

  2. Title: Blockchain in Sports: A Comparative Analysis of Applications and Perceptions in Football and Basketball 
    Published Year: 2025
    Citation: 1

  3. Title: Perceptions of Yoga among Romanian Athletes: a Mindfulness Therapy to Prevent PTSD and Enhance Performance 
    Published Year: 2024
    Citation: 1

  4. Title: Nudging Consumer Behavior with Social Marketing in Portugal: Can Perception Have an Influence over Trying Insect-Based Food? 
    Published Year: 2023
    Citation: 7

  5. Title: Untapped Aspects of Waste Management versus Green Deal Objectives 
    Published Year: 2022
    Citation: 5

Dr. Ashkan Tashk | Applied AI | Excellence Award (Any Scientific field)

Published on by Computer Scientists Awards

Dr. Ashkan Tashk | Applied AI | Excellence Award (Any Scientific field)

postdoc, Technical University of Denmark.

Dr. Ashkan Tashk is a highly accomplished electrical engineer and postdoctoral researcher with deep expertise in telecommunications, machine learning, and biomedical imaging. With a strong academic and teaching background, he has worked across multiple prestigious institutions in Denmark, Germany, and Iran. His career blends theoretical knowledge with applied innovations, particularly in AI-driven healthcare technologies, contributing significantly to interdisciplinary research and development. He is known for his dedication to science communication, teaching, and AI-based applications in medicine.

Publication Profile

Google scholar

🎓 Education Background:

Ashkan Tashk received his Ph.D. in Electrical Engineering with a focus on Telecommunications in 2015, following his M.Sc. (2010) and B.Sc. (2006) in the same field. His undergraduate project involved designing and constructing a prototype sunlight tracking platform—an early indication of his strong interest in applied engineering and innovation. His academic journey provided a solid foundation in electronics, signal processing, and machine learning, which continues to influence his research today.

💼 Professional Experience:

Dr. Tashk currently serves as a Postdoctoral Researcher at Denmark’s leading universities (2019–present). Prior to that, he worked as a telecommunications expert at FREC and completed a research internship at Karlsruhe Institute of Technology (KIT), Germany. His career includes teaching roles at the University of Southern Denmark, University of Copenhagen, and various Iranian academic institutions. He has taught courses in electrical circuits, microprocessors, statistics, numerical analysis, and MATLAB programming, while also publishing Persian-language technical tutorials and conducting workshops in Europe and Iran.

🏆 Awards and Honors:

Dr. Ashkan Tashk became an IEEE Senior Member in 2022, recognizing his professional maturity and significant contributions to electrical engineering. He has served as a session chair at multiple international conferences such as ACSIT2020 in Copenhagen and ICCAIRO2019 in Athens. He has also completed prestigious programs like the “Science Communication” course by the Royal Danish Academy of Sciences and Letters and the RCR workshop at the University of Copenhagen, demonstrating his commitment to ethical and effective scientific practice.

🔬 Research Focus:

Ashkan’s research centers on the application of artificial intelligence and machine learning in biomedical engineering, particularly in image processing, ultrasound tomography, and cancer diagnostics. Notable projects include developing LSTM-RF models for metastatic prostate cancer prediction, CNN-based biomedical segmentation tools, and advanced metabolomics data imputation methods. His work also spans sonar signal processing, image-based fingerprint recognition, and microprocessor-controlled automation systems. These interdisciplinary projects reflect his strong problem-solving abilities and technological foresight.

🧩 Conclusion:

Dr. Ashkan Tashk is a dynamic academic, educator, and innovator whose work bridges electrical engineering and biomedical science using modern AI tools. His technical skill set, coupled with his teaching excellence and global collaborations, position him as a thought leader in the integration of engineering and healthcare. Fluent in Persian, English, and Danish, and proficient in tools like Python, MATLAB, and various PLC programming languages, he continues to impact both academia and industry with his visionary contributions.

📚 Top Publications & Citations:

Semantic Segmentation of Biomedical Images Using Deep Convolutional Neural Networks
Journal: Journal of Medical Imaging and Health Informatics
Cited by: 24 articles

Predicting Metastatic Prostate Cancer via Biochemical Parameters Using LSTM and RF
Journal: Computers in Biology and Medicine
Cited by: 18 articles

Machine Learning Imputation for Large-scale Metabolomics Data
 Journal: Metabolomics
Cited by: 10 articles

Eye-Tracking Data Analysis Using AI for Cognitive Study
 Journal: IEEE Transactions on Affective Computing
Cited by: 7 articles