Miodrag Spalevic | Numerical Analysis | Best Researcher Award

Prof. Dr. Miodrag Spalevic | Numerical Analysis | Best Researcher Award

Professor | University of Belgrade | Serbia

Prof. Dr. Miodrag Spalevic is a distinguished full professor in the Department of Mathematics at the Faculty of Mechanical Engineering, University of Belgrade, with additional teaching at the Mathematical Grammar School in Belgrade. He completed his PhD studies in mathematics at the universities of Kragujevac and Montenegro and serves as an external member of the University of Athens for faculty selection in numerical analysis, approximation theory, and numerical integration. Prof. Dr. Miodrag Spalevic has made significant contributions as editor and referee for numerous international journals and is actively involved in shaping research in applied and numerical analysis, scientific computing, and quadrature theory, particularly focusing on Gaussian-type quadrature formulas and orthogonal polynomials. He has authored over a hundred papers and several influential books and chapters, mentoring numerous MSc and PhD theses. His research explores advanced quadrature rules, error bounds, and numerical algorithms, emphasizing practical computation for analytic functions and Fourier coefficients. Prof. Dr. Miodrag Spalevic has participated in and contributed to a wide array of international conferences, delivering invited lectures, plenary talks, and keynote presentations, while also organizing specialized minisymposia. His work bridges rigorous theoretical development with practical computational methods, making him a leading figure in approximation, quadrature, and scientific computing. He has 88 documents with 723 citations, an h-index of 14, and is widely recognized for his editorial and academic leadership across global mathematical communities.

Profile: Scopus | Orcid | Researchgate 

Featured Publications

Milovanović, G. V., & Spalević, M. M. (1998). Construction of Chakalov–Popoviciu’s type quadrature formulae. Rend. Circ. Mat. Palermo, 52, 625–636.

Spalević, M. M. (1999). Bessel’s inequality in terms of a basis of Vk. Acta Sci. Math. (Szeged), 65, 169–177.

Spalević, M. M. (1999). Product of Turán quadratures for cube, simplex, surface of the sphere, Ern, Er2n. Journal of Computational and Applied Mathematics, 106, 99–115.

Spalević, M. M. (2002). Quadrature formulae of Radau and Lobatto type connected to s-orthogonal polynomials. Zh. Vychisl. Mat. Mat. Fiz., 42, 615–626.

Spalević, M. M. (2001). Remainder term in Chakalov–Popoviciu quadratures of Radau and Lobatto type and influence function. Publ. Inst. Math. (Beograd) (N.S.), 70(84), 79–93.

Mika Yasuoka | Computer | Best Researcher Award

Dr. Mika Yasuoka | Computer | Best Researcher Award

Associate Professor, Roskilde University, Denmark

Dr. Mika Yasuoka Jensen 🇯🇵🇩🇰 is an Associate Professor of Sustainable Digitalization at Roskilde University, Denmark. With a multicultural background and deep expertise in computer science, informatics, and interaction design, she bridges Japanese, American, and Danish academic traditions. Passionate about co-creation, digital welfare, and Living Labs, Dr. Yasuoka leads global collaborations with universities, public institutions, and tech corporations to shape sustainable digital futures. Her leadership in participatory design, social innovation, and smart city initiatives has made her a prominent voice in advancing technology for societal benefit. 🌍💻

Profile

Google Scholar

Education 🎓

Dr. Yasuoka’s academic journey is a blend of prestigious institutions across three continents. She earned her Ph.D. in Computer Supported Cooperative Work from the IT University of Copenhagen, incorporating research at The University of Tokyo and Carnegie Mellon University. Prior to this, she completed an M.Sc. in Informatics from Kyoto University and a B.Sc. in Library and Information Science from Keio University. Her academic enrichment also includes an exchange program and visiting researcher positions at Carnegie Mellon University in the U.S. 🎓📘🌐

Experience 💼

Dr. Yasuoka’s professional path is marked by academic excellence and impactful leadership. Since 2020, she has been serving as Associate Professor at Roskilde University. She has held roles at institutions including the IT University of Copenhagen, Keio University, and Technical University of Denmark. She has led numerous cross-sectoral projects, blending stakeholder engagement and digital design across borders. Her strategic advisory roles include working with municipalities and government digital agencies in Japan. 🏫🌏👩‍🏫

Research Interest 🔍

Her core research focuses on sustainable digitalization, participatory design, Living Labs, and avatar-mediated communication. She investigates how digital technologies can be co-designed and responsibly integrated into societies to enhance well-being. With a special interest in smart cities, welfare technologies, and design frameworks, Dr. Yasuoka’s work aligns technology with human-centric values and social innovation. 🤖🏙️👥

Awards 🏆

Dr. Yasuoka has received multiple accolades for her innovative contributions. These include the 11th Nextcom Paper Award (2022) for advancing e-government strategy, the 12th KDDI Foundation Book Publishing Grant (2022), and a Best Paper Finalist at IEEE ARSO 2021. She also earned the Human Interface Society Award (2021) for her analysis of stakeholder involvement in welfare technology assessment. 🏆📚✨

Publications 📄

Key Practices for Welfare Robots Provision: Assessment Framework and Participation
Yasuoka, M., Akutsu, Y., Honma, K., & Matsumoto, Y.
IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 2021.
🔗 IEEE Xplore Link
Cited by researchers in robotics and social care design.

How Remote-Controlled Avatars Are Accepted in Hybrid Workplace
Yasuoka, M., Miyata, T., Nakatani, M., Taoka, Y., & Hamaguchi, N.
In: Distributed, Ambient and Pervasive Interactions, Lecture Notes in Computer Science, vol. 14036, Springer, Cham, 2023.
🔗 Springer Link
Referenced in studies on telepresence and future work environments.

Not Just Power: Exploring Transitions as Fluidity and Relationality in Participatory Design
Yasuoka, M., & Kibi, Y.
Participatory Design Conference 2024, Vol. 2: Exploratory Papers and Workshops.
🔗 ACM Link
Cited in participatory design and relational theory literature.

Reflection on Digital Cities
Yasuoka, M., & Ishida, T.
In Oxford Research Encyclopedia of Communication, Oxford University Press, 2023.
Used in urban digital studies and smart city curricula.

Conclusion

Dr. Mika Yasuoka Jensen is highly suitable for the Best Researcher Award. Her cross-cultural expertise, commitment to societal impact through digitalization, leadership in international projects, and award-winning research achievements make her a standout candidate. Minor enhancements in research metrics and journal profile would further strengthen her already impressive credentials.

Xukan Xu | Informatics | Best Researcher Award

Prof. Dr. Xukan Xu | Informatics | Best Researcher Award

Professor, Business School, Hohai University, China 

Professor Xu Xukan is a renowned academic and researcher at Hohai University’s Business School, where he serves in the Department of Management Science and Information Management. 📊 He is also the Director of the Institute of Statistics and Data Research and leads the Key Laboratory of Industrial Big Data and Knowledge Management in Changzhou. 🌍 With an impactful career in intelligence analysis and emergency management, he contributes significantly to national and regional research innovation. A Jiangsu “Double Innovation” talent 🌟, Prof. Xu plays a vital role in multiple strategic collaborations and research centers across China.

Profile

Scopus

🎓 Education

Professor Xu Xukan pursued extensive academic training in the fields of management science and information systems. 📘 With a strong foundation in knowledge organization and emergency decision-making, his academic journey laid the groundwork for his ongoing research contributions in data analysis and management science. 🏫 As a doctoral supervisor, he actively mentors new generations of scholars in these evolving disciplines.

💼 Experience

With over a decade of academic leadership, Prof. Xu has led transformative research initiatives, guided national-level projects, and mentored numerous doctoral candidates. 🧠 His roles as director and project leader in multiple key labs and innovation centers reflect his extensive contributions to academia and government-backed research. He has also worked closely with industries in consulting roles, showcasing his capacity for practical implementation of academic insights. 🏢

🔍 Research Interests

Prof. Xu’s research spans knowledge organization, intelligence analysis, emergency management, water resource planning, and machine learning. 💡 His work focuses on enhancing decision-making processes for sudden events through multi-source data fusion and intelligent systems. 🌐 As a data-driven innovator, his interdisciplinary interests combine data mining, informatics, and environmental planning to deliver impactful outcomes.

🏆 Awards

As a recipient of the prestigious Jiangsu Province “Double Innovation” Talent recognition, Prof. Xu Xukan is celebrated for his groundbreaking contributions to emergency intelligence and data-driven knowledge systems. 🏅 His leadership in national research programs and patented innovations has garnered acclaim within academic and industry sectors alike. 🌟

📚 Publications

Risk identification of public opinion on social media: a new approach based on cross-spatial network analysis, The Electronic Library, 2024 — Cited by 5 articles

The urban rain-flood risk division based on the cloud model and the entropy evaluation method—Taking Changzhou as an example, Journal of Physics: Conference Series, 2019 — Cited by 3 articles

Research on Knowledge Organization Process Based on Knowledge Unit, 2015 — Cited by 2 articles

Conclusion

Professor Xu Xukan is highly suitable for the Best Researcher Award. His leadership in data-driven decision-making research, contribution to emergency intelligence systems, and tangible industry impact firmly establish his standing. With slight improvements in global visibility and citation impact, his profile reflects the excellence and innovation the award aims to recognize. He stands out as a distinguished and forward-thinking researcher contributing to both academic knowledge and societal advancement.

Prof. Dr. Jaiteg Singh | Computer Science | Excellence in Research

Prof. Dr. Jaiteg Singh | Computer Science | Excellence in Research

Prof. Dr.Jaiteg Singh, Chitkara University, Punjab, India

Prof. Dr. Jaiteg Singh, an esteemed figure in Computer Science at Chitkara University, Punjab, India, exemplifies Excellence in Research. With a robust academic background and extensive contributions to the field, Dr. Singh’s work stands at the forefront of technological innovation. His research spans diverse areas, from artificial intelligence to cybersecurity, continually pushing boundaries. As a respected educator, he inspires and mentors future generations of computer scientists. Dr. Singh’s dedication is underscored by numerous publications and collaborations, fostering a dynamic academic environment. His pioneering spirit and commitment to excellence make him a pivotal figure in advancing computational knowledge and applications. 🎓💻🌐

Profile 🌟

Googlescholar

Academic Credentials🎓

Prof. Dr. Jaiteg Singh has a diverse educational background that spans across prestigious institutions in India. He completed his Ph.D. in Computer Science and Engineering at Punjabi University, Patiala in 2010, following an M.Phil. in Computer Science from Madurai Kamaraj University in 2006. His foundational education includes a Master of Computer Applications from Punjabi University in 2004 and a B.A (Hons) in Economics from the same university in 2001. This academic journey reflects his dedication to both computer science and interdisciplinary learning. 🎓💻📘

Work Experience 💼

Prof. Dr. Jaiteg Singh has been appointed as a Research Fellow at INTI International University Malaysia, starting from December 15, 2023, to December 31, 2025. He brings extensive academic leadership experience, having served as Professor & Dean at Chitkara University, Punjab (India) since January 2011. Prior to that, he held roles as Associate Professor at RIMT, Mandi Gobindgarh, Punjab (India) from July 2006 to January 2011, and as a Lecturer at S.G.H.C.M.T., Patiala, Punjab (India) from August 2005 to July 2006, and at Lyallpur Khalsa College, Jalandhar, Punjab (India) from July 2004 to August 2005. 🎓🌍📚

Administrative Experience  📊

Prof. Dr. Jaiteg Singh has served as Pro Vice Chancellor (Computer Applications) at Chitkara University, Punjab, since 2017, bringing leadership to the academic realm. His tenure as Dean of the Department of Computer Applications spanned from 2017 to December 2023, where he nurtured academic excellence. Previously, he played a pivotal role as Coordinator of Research and Development at Chitkara University from 2012 to 2017, fostering innovation and scholarly pursuits. Earlier in his career, he contributed significantly as Coordinator of Undergraduate Studies at the Regional Institute of Management and Technology, Mandi Gobindgarh, Punjab, from 2006 to 2010, shaping educational pathways. 🎓🌟📚

Consultancy projects 🌐

Prof. Dr. Jaiteg Singh has led several consultancy projects showcasing his expertise in IT disaster management and high-performance real-time analysis. In 2017, projects like I.T. Disaster Management and safeguarding ERP applications generated revenues of INR 4,95,000 and INR 5,50,000 respectively. He also contributed significantly to the C & D.S. Bank with a revenue of INR 1,00,000. Over the following years, his project “Express to Help” continued to make an impact, yielding INR 3,00,000 in 2018, INR 2,35,000 in 2019, and INR 6,95,000 in 2020. These ventures exemplify his commitment to excellence in consultancy, enhancing organizational resilience and efficiency. 🌐💼💰

Publications Top Notes 📚

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques

Deep feature extraction and classification of android malware images

Assessing OpenStreetMap data using intrinsic quality indicators: an extension to the QGIS processing toolbox

Dominant feature selection and machine learning‐based hybrid approach to analyze android ransomware

A study of neuromarketing techniques for proposing cost effective information driven framework for decision making

Systematic literature review on software effort estimation using machine learning approaches

Classification and analysis of android malware images using feature fusion technique

Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers

A systematic study of OpenStreetMap data quality assessment

A survey of multidisciplinary domains contributing to affective computing