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.

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