Meet The Team
Dr. Zoltan Buzady
A Hungarian who grew up in Germany, Zoltan earned his first degree in Law at the London School of Economics (UK). His practice orientation and a strong interest in the real dilemmas of people management prompted him to complete a Global MBA at CASS Business School (UK). After the fall of the Iron Curtain, he returned to Hungary to earn a Ph.D., focusing on the strategic challenges in transition economies. Parallel to his academic work, his hobby to meeting people and developing new, forward-looking management concepts and value-based leadership development solutions.Since 2000 he was Director of MBA Programs at both of the top leading Business Schools in Central Europe, his flagship courses are “Flow & Leadership” (EMBA), “Flow, Development and Serious Games” (Ph.D.), and “Global Leadership/Global Management Practice” (CEMS).
Dr.Janay Sagin
Dr. Janay Sagin, Ph.D., Professor, Geomatics Engineering, School of Information Technology and Engineering (SITE), Kazakh British Technical University (KBTU), j.sagin@kbtu.kz, WhatsApp: +1 269 359 5211, Geosciences, Western Michigan University, SDG programs, https://www.youtube.com/@SDGWaterCentralAsia , with research expertise in the field of water resources integrated surface-groundwater modelling, applications of Earth Observation Satellite (EOS), Geospatial Analysis and Geographic Information System (GIS) in data processing https://www.esrs.wmich.edu/index.php/personnel/current/. Current efforts are on setting up the practical School-College-Community-Industry-University (SCCIU) interconnected Technical and Vocational Education and Training (TVET) programs for Kazakhstan, Central Asian (CA) region with the application of Geomatics, sustainable water usage connected to biodiversity issues for implementation of the New Global Framework for Managing Nature, https://www.unep.org/news-and-stories/story/cop15-ends-landmark-biodiversity-agreement , led and coordinated by Canada, expansion of the Water-Food-Ecosystem Resilience in the Mid-Latitude Region Network (MLRN) http://mlrnetwork.org/ , hydrogen applications for Kazakhstan, https://sdgs.un.org/partnerships/hydrogen-and-ammonia-fertilizers-sustainable-agriculture-and-new-global-framework with flood water collection in underground aquifers using the managed aquifer recharge (MAR) approach https://floodmar.org/ , https://teresa.inowas.com/, https://inowas.com, https://teresa.inowas.com/partners-2/ , https://www.ckrb.org/, https://sites.nationalacademies.org/PGA/PEER/PEERscience/PGA_174150 , US-Canada basin based transboundary TVET programs adaptation for Central Asia, https://www.redriverbasincommission.org/
ORCID: ID 0000-0002-0386-888X; Research ID: F-7522-2013; Scopus ID: 24279862700; Google Scholar: https://scholar.google.ca/citations?user=h0V2zs4AAAAJ&hl=en ; Citations: 982; h-index 16, i10-index 21
Dr.Yevgeniya Daineko
Dr.Yevgeniya Daineko has graduated from the Physics Department of Al-Farabi Kazakh National University. From 2004 to 2007, she worked in the Laboratory of Micro- and Optoelectronics at the Scientific Research Institute of Experimental and Theoretical Physics at the Al-Farabi Kazakh National University. From 2007 to 2011, she was a lecturer at the Department of Solid State Physics and Materials Science, Faculty of Physics, Al-Farabi Kazakh National University. Since 2011, he has been working at JSC IITU. Since October 2018, she has been the head of the Department of Radio Engineering, Electronics and Telecommunications, and since October 2019, she has been the Vice-Rector for Scientific and International Activities of JSC IITU.
She has more than 140 scientific publications in national and international rating journals, including articles in journals with a high impact factor, copyright certificates for the protection of intellectual property rights, educational and teaching aids.
Dr. Daineko's research interests encompass:
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Micro- and Optoelectronics: She has experience working in the Laboratory of Micro- and Optoelectronics at the Scientific Research Institute of Experimental and Theoretical Physics.
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Augmented Reality in Education: Dr. Daineko has contributed to developing practical physics tasks incorporating augmented reality for secondary education.
Dr. Muhammad Ilyas
Muhammad Ilyas, PhD in Robotics and AI, is currently working as a Professor in the Department of Robotics & Mechatronics (RaM), School of IT and Engineering (SiTE) at Kazakh-British Technical University (KBTU) Almaty, Kazakhstan.
Dr. Ilyas has worked at Nanyang Technological University as Research Fellow during 2019-2022. He was a post-doctoral researcher at RoAR Lab. in Singapore University of Technology and Design (SUTD) during 2018-2019. Ilyas earned PhD in Robotics and Virtual Engg. from UST, South Korea in year 2016 and worked as Assistant Professor at UET Lahore, Pakistan from Nov. 2016-Mar.2018.
Dr. Ilyas earned a master degree in Electrical Engg. and Computer Science from SNU South Korea in 2008 and a bachelor degree in electrical Engg. from UET Taxila, Pakistan in 2000.
M. Ilyas has more than 20 years of experience in academia and industry in Pakistan, S.Korea and Singapore and more than 30 publications in international journals and conferences. His research include: Mobile robots navigation in a complex environment, AI applications in robotics, Robotics GNC, ROS-based robotic system development.
Google Scholar Profile:
https://scholar.google.com/citations?user=WqC8Dt0AAAAJ&hl=en
ORCID:
https://orcid.org/my-orcid?orcid=0000-0001-7555-3839
Scopus ID: 57205118652 ; Web of Science ID: KLC-9442-2024
E.mail: m.ilyas@kbtu.kz
Mobile/whatsApp: +77478652964
Dr.Alexander Pak
Professor Alexander Pak, is leading researcher and head of AGI Lab at the SDG Center. His experience covers
management of the Following Research Projects:
1.AP05132760: Development of methods for deep learning of semantic probability inference - Successfully completed.
2.AP09260670: Development of methods and algorithms for augmentation of input data for modification of vector word embeddings.
3.AP14871214: Development of machine learning methods to increase the coherence of text in summaries produced by the Extractive Summarization Methods.
Deep research expertise in the Following Projects:
1.AP05134241: Carrying out monitoring of the territory of Xinjiang Uygur Autonomous Region of the People's Republic of China within transboundary river basins and dependent territories on the basis of satellite information.
2.AR05134227: Modelling of complex systems by methods of graphodynamics and discrete differential geometry - Successfully completed.
3.BR11265420: Development of an expert decision support system in the space industry.
His Research interests include: self-correcting language models and reinforcement learning frameworks;
AI tools for education, mental health, and sustainable development;
open-source algorithms for abstractive text summarization and decision-making under uncertainty; AI ethics and transparency, addressing the "black box" problem in government applications.
https://scholar.google.ru/citations?user=XkKtTK8AAAAJ&hl=ru
E:mail: a.pak@kbtu.kz
Dr.Alina Gutoreva
Alina Gutoreva, PhD in Psychology, is an Assistant Professor in Cognitive Science and the lead of the AI Lab at the School of IT and Engineering, Kazakh-British Technical University (KBTU), Kazakhstan. Alina received her doctorate from the University of Warwick, focusing on the behavioural economics of risk-taking behaviours influenced by personal and social information. Her research interests span AI-human interaction, cognitive control, and the use of AI to enhance cognitive processes. With a background in both academia and industry, Alina has consulted companies such as BT, Ericsson, and Amazon, and as a research fellow, she worked at the UK's Financial Conduct Authority (FCA) in the Behavioural Economics and Design Unit. Her projects have spanned from data analysis for bias elimination in recruitment, modeling changes in consumer behaviour during the pandemic, and the drafting of new Consumer Protection Laws addressing Dark Patterns.
Alina also collaborates on international projects, including creating a social vs. individual formal model of free will in collaboration with UCL, UK, adolescent well-being and mental health in partnership with the University of Edinburgh, UK, and UNICEF Kazakhstan, gravity effects on awareness with Birkbeck University, UK, multimodal cognitive and behavioural AI model with Kazakhstan Aerospace Committee.
Dr. Gutoreva is a partner of AI for Good in Central Asia and focuses on AI regulation in developing nations.
Contact Information: Email: a.gutoreva@kbtu.kz; Phone: +7 701 958 4091; https://orcid.org/0000-0001-6893-7252