Mr. Matyas Lukacs, Hungarian University of Agriculture and Life Sciences, Hungary
Mátyás Krisztián Lukács, in Hungary, is a food scientist and research engineer specializing in food quality assessment, tracking solutions, and digitalization of the food industry. He is currently pursuing a Ph.D. in Food Science at the Hungarian University of Agriculture and Life Sciences while working as a Professional Coordinator at Neumann Nonprofit Kft. and a Research Engineer at Cibus Hungaricus. With extensive experience in analytical method development, product development, and laboratory accreditation, he has contributed to food industry advancements in Hungary. He has also served as a visiting researcher at the University of Innsbruck and the University of Novi Sad. In addition to his research and industry roles, he is an active lecturer and mentor, teaching courses on cloud-based AI computing and measurement techniques.
Professional Profile:
ORCID
SCOPUS
Summary of Suitability Young Scientist Award
Mátyás Krisztián Lukács is a strong candidate for the Young Scientist Award, given his extensive experience in food science, traceability, and digital solutions. His PhD research, international collaborations, and impactful publications in sensor technology, spectroscopy, and blockchain applications for food quality assessment highlight his innovative contributions. Additionally, his teaching experience and mentorship further demonstrate his dedication to knowledge dissemination. With a robust publication record and a multidisciplinary approach, his work significantly advances food science and technology, making him highly suitable for this award.
🎓 Education
📌 BSc in Food Engineering (2011 – 2014)
Corvinus University of Budapest, Hungary
- Specialization: Food Preservation and Quality Management
📌 MSc in Food Engineering (2015 – 2017)
Szent István University, Hungary
- Specialization: Food Technology and Product Development
📌 PhD in Food Science (2022 – Present)
Hungarian University of Agriculture and Life Sciences, Hungary
📌 Visiting Researcher
🔹 University of Innsbruck, Austria (June 2023 – August 2023)
🔹 University of Novi Sad, Serbia (September 2024 – October 2024)
💼 Work Experience
📍 Professional Coordinator (May 2024 – Present)
Neumann Nonprofit Kft., Budapest, Hungary
- 🚀 Developing a track and tracing application based on European Blockchain Services Infrastructure (EBSI)
- 🤝 Managing consortium-related communications
📍 Research Engineer (February 2024 – Present)
Cibus Hungaricus, Budapest, Hungary
- 🏭 Developing tracking solutions for food quality assessment
- 📊 Analyzing and presenting data from the Hungarian food industry
- 🌍 Contributing to the digitalization of the Hungarian food sector
📍 Analytical Method Developer (January 2019 – August 2020)
Biotech USA, Szada, Hungary
- 🧪 Established an analytical laboratory for internal quality assurance
- 🏆 Developed methods for macronutrient analysis and allergen detection
- 🔬 Managed laboratory equipment acquisition and accreditation process
📍 Product Developer (July 2017 – December 2018)
Biotech USA, Budapest, Hungary
- 🏗️ Developed new food products and variations
- 🔍 Evaluated suppliers and raw materials
- 👅 Conducted sensory analysis
📍 Internships
🔬 Process & Method Development Intern (July 2016 – August 2016) – Scitec Nutrition, Dunakeszi
📊 Quality Management Intern (July 2014 – October 2014) – Scitec Nutrition, Dunakeszi
🎖️ Achievements, Awards & Honors
🏅 Lecturer & Mentor
- 📡 Lecturer: Introduction to Cloud-Based AI Computing for Engineers
- 🛠️ Practical Lecturer: Measurement Techniques, Post-Harvest Technology
- 🎓 MSc Student Thesis Co-Supervisor
- 🤝 Internship & Living Lab Mentorship (EUDRES)
🌱 Volunteering
- 🙏 Served at a Vipassana Meditation Course in Switzerland (July 2023)
🎯 Technical Skills
- 🎨 Adobe Creative Suite (Photoshop, Animate, Audition, Premiere Pro)
- 📊 R Studio
- ☁️ Microsoft Azure Fundamentals & AI Fundamentals
- 🏢 Microsoft Office (Excel, Word, PowerPoint, Outlook)
Publication Top Notes:
Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT
Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy
Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities
Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products