Assoc. Prof. Dr Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award |

Assoc. Prof. Dr Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award

Associate professor , at West Ukrainian National University, Ukraine.

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko is a dedicated academic and researcher specializing in Information Technology, with a strong foundation in economic cybernetics and artificial intelligence. Based at the West Ukrainian National University in Ternopil, Ukraine, she has steadily progressed through the academic ranks, currently serving as an Associate Professor in the Department of Information Computer Systems and Control. Her work bridges data science, simulation, and socio-economic modeling, with a strong commitment to research excellence and innovation in education and interdisciplinary projects.

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Education 🎓

Dr. Lipianina-Honcharenko holds a Ph.D. in Technical Sciences (2019), with a specialization in Information Technology, and is currently completing her Doctor of Technical Sciences (2025) at West Ukrainian National University. She began her academic journey with a Bachelor’s degree in Economic Cybernetics (2011), followed by a Master’s degree in Information Technologies in Economics (2012). She also completed postgraduate studies in Economic Cybernetics and Informatics between 2013 and 2017. Her education reflects a deep and consistent engagement with technical and analytical disciplines critical to modern digital research.

Experience đź’Ľ

Dr. Lipianina-Honcharenko has over a decade of academic experience. She began as a Laboratory Assistant in the Department of Economic Cybernetics and Informatics (2012–2014), before becoming a Lecturer in the same department (2013–2020). She then served as a Senior Lecturer in the Department of Information Computer Systems and Control (2020–2021) and was promoted to Associate Professor in 2021, a role she currently holds. Her teaching and mentorship have consistently focused on data science, IT systems, and modeling, contributing to the development of future tech-savvy professionals.

Research Interests 🔬

Her research interests include data analysis, simulation, machine learning, modeling and forecasting socio-economic processes, and the development of artificial intelligence methods. She actively contributes to cutting-edge research in cyber-physical systems, and has led or participated in numerous national and international projects, including Erasmus+ initiatives, disinformation detection tools (TruScanAI), and digital heritage visualization through augmented and virtual reality. Her work is known for its interdisciplinary applications, blending technology, economics, and societal impact.

Awards 🏆

While specific named awards are not listed, Dr. Lipianina-Honcharenko’s selection and participation in prestigious European research initiatives such as Erasmus+ “Work4CE”, My Farm, and AURA projects highlight her recognized competence and contribution on an international scale. Her leadership in these multi-national projects reflects her credibility and collaborative skills in the global academic community.

Top Noted Publications 📚

1. Decision Tree Based Targeting Model of Customer Interaction with Business Page
Authors: H. Lipyanina, A. Sachenko, T. Lendyuk, S. Nadvynychny, S. Grodskyi
Index: CMIS
Citations: 37
Year: 2020
Pages: 1001–1012

2. Economic Crime Detection Using Support Vector Machine Classification
Authors: A. Krysovatyy, H. Lipyanina-Goncharenko, S. Sachenko, O. Desyatnyuk
Index: MoMLeT+ DS 2917
Citations: 25
Year: 2021
Pages: 830–840

3. Assessing the Investment Risk of Virtual IT Company Based on Machine Learning
Authors: H. Lipyanina, V. Maksymovych, A. Sachenko, T. Lendyuk, A. Fomenko, I. Kit
Index: International Conference on Data Stream Mining and Processing
Citations: 24
Year: 2020
Pages: 167–187

4. Targeting Model of HEI Video Marketing Based on Classification Tree
Authors: H. Lipyanina, S. Sachenko, T. Lendyuk, A. Sachenko
Citations: 22
Year: 2020

5. Concept of the Intelligent Guide with AR Support
Authors: K. Lipianina-Honcharenko, R. Savchyshyn, A. Sachenko, A. Chaban, I. Kit, et al.
Index: International Journal of Computing, Vol. 21, No. 2
Citations: 19
Year: 2022
Pages: 271–277

Conclusion

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko exemplifies the qualities of a committed young scientist, with a diverse academic background, substantial international research experience, and a clear focus on interdisciplinary innovation. Her growing portfolio of research, especially in AI and cyber-physical systems, makes her a highly suitable candidate for prestigious recognitions such as the Research for Young Scientist Award. With continued development in international communication and publication outreach, she is well-positioned to make an even broader impact in the global scientific arena.

Assoc. Prof. Dr Mohsen Edalat | Machine Learning | Best Researcher Award |

Assoc. Prof. Dr. Mohsen Edalat | Machine Learning | Best Researcher Award | 

Associate Professor, at School of Agriculture, Shiraz University, Iran.

Assoc. Prof. Dr. Mohsen Edalat is a highly motivated agronomist, researcher, and academic leader with over 20 years of experience in crop production, farm management, and sustainable agriculture. He has a strong background in agronomy, crop breeding, greenhouse management, and precision agriculture. As an Associate Professor and Senior Farm Manager, he has successfully integrated scientific research with practical applications, optimizing crop yields, genetic selection, and agricultural sustainability. His innovative work in medicinal plant domestication and startup entrepreneurship has contributed significantly to agronomic advancements.

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Education 🎓

Ph.D. in Agronomy (2007-2010) – Shiraz University, Iran

M.Sc. in Agronomy (2002-2005) – Shiraz University, Iran

B.Sc. in Agronomy (1993-1997) – Shiraz University, Iran

Professional Experience đź’Ľ

Associate Professor, Crop Production & Breeding Dept., Shiraz University (2017–Present)

Senior Farm Manager, Research & Commercial Production (1999–2023) – Managed a 500 ha farm

Dean, School of Agriculture, Shiraz University (2018–2020)

Vice Dean for Financial & Administrative Affairs, Shiraz University (2014–2018)

Assistant Professor, Crop Production & Breeding Dept. (2011–2017)

Lecturer, Shiraz University (1999–2011)

Research Interests 🌍

Dr. Edalat’s research primarily focuses on crop growth modeling, plant breeding, precision agriculture, and sustainable farming practices. He has expertise in mathematical modeling of plant growth, experimental designs, weed science, and data-driven agronomy. His work has also extended to machine learning applications in agriculture, with studies on species distribution modeling, seed viability, and climate-adaptive cropping systems.

Awards & Honors 🏆

Exemplar Faculty Member, Shiraz University (2018) – Voted by students and faculty

Founder of MAYSA PARS GREENTECH (2022) – A startup focused on medicinal herb breeding and production

Developed a New Domestication Procedure (2020) – Successfully domesticated Zataria multiflora (endangered medicinal plant)

Record Agricultural Yields (2020 & 2021) – Achieved 122 tons/ha silage corn and 7,600 kg/ha winter wheat

Scholarship Recipient – Iranian Ministry of Science for Visiting Research at Melbourne University (2010)

Top 5% Student Ranking – B.Sc., M.Sc., and Ph.D.

Top Noted Publications 📚

Assessing and Mapping Multi-Hazard Risk Susceptibility Using a Machine Learning Technique
Authors: H.R. Pourghasemi, N. Kariminejad, M. Amiri, M. Edalat, M. Zarafshar, et al.
Journal: Scientific Reports
Citations: 212
Year: 2020

Is Multi-Hazard Mapping Effective in Assessing Natural Hazards and Integrated Watershed Management?
Authors: H.R. Pourghasemi, A. Gayen, M. Edalat, M. Zarafshar, J.P. Tiefenbacher
Journal: Geoscience Frontiers
Citations: 115
Year: 2020

The Impact of Nitrogen and Organic Matter on Winter Canola Seed Yield and Yield Components
Authors: S.A. Kazemeini, H. Hamzehzarghani, M. Edalat
Journal: Australian Journal of Crop Science
Citations: 76
Year: 2010

Interaction Effects of Deficit Irrigation and Row Spacing on Sunflower (Helianthus annuus L.) Growth, Seed Yield, and Oil Yield
Authors: S.A. Kazemeini, M. Edalat, A. Shekoofa
Journal: African Journal of Agricultural Research
Citations: 69
Year: 2009

Corn Nitrogen Management Using NDVI and SPAD Sensor-Based Data Under Conventional vs. Reduced Tillage Systems
Authors: M. Edalat, R. Naderi, T.P. Egan
Journal: Journal of Plant Nutrition
Citations: 60
Year: 2019

Conclusion

Dr. Mohsen Edalat is a strong candidate for a Best Researcher Award, given his leadership, practical achievements in agriculture, research contributions, and teaching excellence. Strengthening his publication record, international collaborations, and patents would further enhance his competitiveness.