Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

Prof. Dr Jari Kaivo-oja, University of Turku, Finland

Prof. Dr. Jari Kaivo-oja is a globally recognized expert in foresight, innovation, and sustainable development. Currently serving as Research Director at the Finland Futures Research Centre (University of Turku) and Professor at Kazimieras Simonavičius University, Lithuania, he is widely respected for his multidisciplinary research impact. With more than two decades of academic leadership, Dr. Kaivo-oja has advanced the understanding of futures studies, digital transformation, and strategic sustainability. His work bridges theory and practice, offering critical insights for public policy, industry innovation, and academic strategy. He has been involved in European Commission initiatives and has significantly influenced regional innovation systems. Known for integrating socio-economic foresight with actionable frameworks, his thought leadership guides both academic and practical change. Dr. Kaivo-oja’s scholarship is evidenced by numerous high-impact publications, awards, and global collaborations. His visionary approach makes him a fitting and distinguished nominee for the Excellence in Research Award.

Publication Profile

Google Scholar

Orcid

Scopus

Education

Dr. Kaivo-oja’s academic foundation is built on a strong interdisciplinary background. He earned his Doctorate in Administrative Sciences from the University of Tampere, focusing on policy foresight and regional development. He also holds a Licentiate of Administrative Sciences, and a Master’s degree in Regional Science and International Economics, integrating economic theory with public administration and innovation management. Additionally, he completed specialized postgraduate studies in Development Studies, expanding his competence in global socio-economic challenges and policy dynamics. His academic training equips him to analyze complex systems involving governance, technology, and sustainability. His educational journey reflects a persistent pursuit of excellence and relevance, aligning academic theory with real-world impact. These diverse academic credentials form the backbone of his comprehensive and integrative research approach, enabling him to effectively lead interdisciplinary projects and provide strategic foresight to governments, academia, and industry alike.

Experience

With over 25 years of research and academic leadership, Prof. Kaivo-oja has contributed extensively to European and international science and policy communities. As Research Director at the Finland Futures Research Centre, he leads projects on foresight, green transition, and socio-economic transformation. He also serves as a Research Professor at Kazimieras Simonavičius University, Lithuania, and Adjunct Professor at the University of Vaasa, specializing in technology foresight and digitalization. Dr. Kaivo-oja has been a policy advisor and research partner for high-level institutions including the European Commission, Nordic Innovation Centre, OECD, and Finnish Innovation Fund (Sitra). He has successfully led numerous foresight studies, policy planning efforts, and scenario-based strategies. His collaborations span academia, public administration, and industry, promoting systems thinking and knowledge transfer. His ability to connect theoretical insights with practical implementation has made him a sought-after expert in strategic foresight and innovation systems.

Awards and Honors

Prof. Dr. Kaivo-oja has received numerous recognitions that underscore his outstanding research and scholarly impact. He was honored with the Promising Young Economist Scholarship early in his career, reflecting his innovative contributions to regional science. His scholarly publications have earned prestigious accolades such as the ISPIM Best Paper Award and the Emerald Literati Network Award for Excellence, recognizing exceptional academic publishing. In 2023, he received the AIRA (Academy of International Research Awards) honor for outstanding contributions in foresight and innovation. Additionally, he has been celebrated multiple times by the University of Turku with the Active Publisher Award, acknowledging consistent high-quality research output. These accolades reflect his sustained academic excellence, thought leadership, and international reputation. Each award represents a milestone in a career marked by interdisciplinary breakthroughs and practical applications of research, reinforcing his candidacy for the Excellence in Research Award.

Research Focus

Prof. Kaivo-oja’s research agenda bridges foresight studies, innovation management, and sustainable development. His work advances the understanding of long-term socio-economic transformation by integrating digitalization, ecological economics, and strategic planning. A central focus lies in developing tools and models for anticipatory governance, policy foresight, and resilient innovation systems. He applies these methodologies across areas such as climate change adaptation, regional competitiveness, and entrepreneurial ecosystems. With a systems-theoretical approach, his studies generate practical foresight for governments, cities, and corporations navigating uncertain futures. He is also a pioneer in combining weak signal analysis, Delphi methods, and scenario planning to guide strategic decisions in volatile environments. His integrative foresight methodologies support transitions to more sustainable, inclusive, and digitally driven societies. Prof. Kaivo-oja’s contributions continue to shape both academic discourse and real-world policies, positioning him at the forefront of transformative research with global relevance.

Publication Top Notes

Wild cards, weak signals and organisational improvisation

Human factors and ergonomics in manufacturing in the industry 4.0 context–A scoping review

Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability

Evaluating synergies and trade-offs among Sustainable Development Goals (SDGs): Explorative analyses of development paths in South Asia and Sub-Saharan Africa

The VUCA approach as a solution concept to corporate foresight challenges and global technological disruption

Linking analyses and environmental Kuznets curves for aggregated material flows in the EU

Relationships of the dimensions of sustainability as measured by the sustainable society index framework

 

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm