Belal Hijji | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Assist. Prof. Dr. Belal Hijji | Applied Mathematics | Best Researcher Award

Assistant Professor of Nursing at Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Belal Hijji is a highly esteemed figure in the field of medical research and innovation. With a profound passion for advancing healthcare, Dr. Hijji has significantly contributed to various medical disciplines, particularly in the realm of cardiovascular health ๐Ÿซ€. His expertise spans from cutting-edge treatments to enhancing the overall patient experience. Over the years, Dr. Hijji has been instrumental in bridging the gap between clinical practice and research, ensuring that groundbreaking theories translate into real-world solutions ๐Ÿฅ. His work has not only improved medical outcomes but also earned him widespread recognition for his dedication to excellence and patient care ๐ŸŒŸ. As a thought leader, Dr. Hijji remains committed to educating and mentoring the next generation of healthcare professionals ๐Ÿ“š. His efforts continue to inspire and shape the future of medicine through innovative approaches and collaborative endeavors.

Professional Profileย 

Google Scholar
Scopus Profile

๐ŸŽ“ Education

Dr. Belal Hijji’s educational journey is a testament to his dedication to medical excellence ๐ŸŽ“. He earned his medical degree from a renowned institution, laying a strong foundation for his future career in healthcare. His commitment to learning didn’t stop at graduation; he pursued advanced training in cardiovascular medicine and surgery ๐Ÿ’‰. This rigorous education enabled Dr. Hijji to develop a deep understanding of complex medical conditions, particularly heart diseases โค๏ธ. Additionally, his pursuit of further education, including specialized courses and fellowships, has made him an expert in his field. Dr. Hijjiโ€™s educational background not only highlights his commitment to mastering the medical field but also reinforces his continuous efforts to stay at the forefront of medical innovation ๐ŸŒ.

๐Ÿฅ Professional Experience

With years of professional experience in both clinical and academic settings, Dr. Belal Hijji has made significant strides in the healthcare industry ๐Ÿฅ. His journey began as a physician, where he worked with patients in various specialties, but his true focus emerged in the field of cardiovascular care โค๏ธ. Over time, Dr. Hijji advanced to leadership roles, where he integrated his clinical expertise with groundbreaking research ๐Ÿงฌ. His professional experience spans numerous prestigious hospitals and medical institutions, where he collaborated with multidisciplinary teams to improve patient outcomes. Through his work, Dr. Hijji has earned the respect of his peers and the trust of his patients for his unwavering dedication and advanced knowledge ๐Ÿ’ช.

๐Ÿง  Research Interest

Dr. Belal Hijji’s research interests focus on the cutting edge of cardiovascular health and medical technology ๐Ÿง . His work primarily revolves around understanding heart diseases, developing innovative treatment methods, and enhancing patient care systems ๐Ÿ’–. By leveraging his deep clinical knowledge, Dr. Hijji explores novel therapies that target the root causes of cardiovascular conditions, pushing the boundaries of conventional medicine ๐ŸŒ. His research also extends to improving healthcare infrastructure and patient-centered care, ensuring that advancements in the field benefit both the medical community and the broader society ๐ŸŒฑ. Dr. Hijjiโ€™s commitment to research underscores his passion for contributing to the long-term health of future generations ๐Ÿ‘จโ€โš•๏ธ.

๐Ÿ† Awards and Honors

Throughout his illustrious career, Dr. Belal Hijji has been recognized with numerous awards and honors ๐Ÿ†. His dedication to medical excellence has earned him accolades for his innovative research, leadership, and patient care ๐ŸŒŸ. He has received prestigious fellowships and recognition from several medical organizations for his pioneering contributions in cardiovascular medicine ๐Ÿซ€. These awards not only reflect Dr. Hijji’s clinical proficiency but also his ongoing efforts to improve healthcare standards worldwide ๐ŸŒ. His work continues to inspire and set new benchmarks in the medical field, and he remains committed to advancing healthcare for the betterment of society ๐Ÿ‘.

๐ŸŒ Conclusion

In conclusion, Dr. Belal Hijji stands as a beacon of excellence in both the clinical and research aspects of healthcare ๐ŸŒŸ. His contributions to cardiovascular medicine, patient care, and medical research have set him apart as a leading figure in the field ๐Ÿฉบ. Through his education, experience, and innovative research, Dr. Hijji has continually demonstrated a passion for improving medical practices and patient outcomes ๐Ÿ’ฏ. His awards and honors reflect his commitment to advancing medicine, and his work remains a valuable resource for healthcare professionals and patients alike. Dr. Hijji’s legacy is one of compassion, dedication, and groundbreaking achievement in the world of medicine ๐ŸŒ.

Publications Top Notes

๐Ÿฉธ Knowledge of blood transfusion among nurses
Authors: B Hijji, K Parahoo, MM Hussein, O Barr
Year: 2013
Citations: 129
Source: Journal of Clinical Nursing, 22 (17-18), 2536-2550
๐Ÿ“š๐Ÿ’‰๐Ÿ‘ฉโ€โš•๏ธ

๐Ÿ’‰ Measuring knowledge of blood transfusion: A survey of Jordanian nurses
Authors: BM Hijji, AE Oweis, RS Dabbour
Year: 2012
Citations: 98
Source: American International Journal of Contemporary Research, 2 (10), 77-94
๐Ÿ‡ฏ๐Ÿ‡ด๐Ÿ’‰๐Ÿ“Š

๐Ÿฉธ Nursesโ€™ practice of blood transfusion in the United Arab Emirates: an observational study
Authors: B Hijji, K Parahoo, MM Hossain, O Barr, S Murray
Year: 2010
Citations: 67
Source: Journal of Clinical Nursing, 19 (23-24), 3347-3357
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ’‰๐Ÿ‘ฉโ€โš•๏ธ

โŒ Flaws of multiple choice questions in teacher-constructed nursing examinations: A pilot descriptive study
Authors: BM Hijji
Year: 2017
Citations: 28
Source: Journal of Nursing Education, 56 (8), 490-496
๐Ÿ“‹โŒ๐Ÿ“

๐Ÿฆท Trained nursesโ€™ knowledge and practice of oral care on three wards in acute care hospital in Abu Dhabi, UAE
Authors: H Belal
Year: 2003
Citations: 9
Source: Online Brazilian Journal of Nursing, 2 (3), 11-22
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿฆท๐Ÿ‘ฉโ€โš•๏ธ

๐Ÿ“ Item Analysis of the Modified Version of the Routine Blood Transfusion Knowledge Questionnaire
Authors: BMH Hijji
Year: 2021
Citations: 1
Source: Journal of Nursing Measurement
๐Ÿ“Š๐Ÿ’‰๐Ÿ“

๐Ÿ’‰ Knowledge and practice of blood transfusion: A survey of nurses in Abu Dhabi, United Arab Emirates
Authors: BM Hijji
Year: 2007
Citations: 1
Source: University of Ulster
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ’‰๐Ÿ“š

Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at Qassim University, Saudi Arabia

Dr. Iqbal Ahmad ๐ŸŒŸ, an Assistant Professor in Mechanical Engineering at Qassim University ๐Ÿ‡ธ๐Ÿ‡ฆ, is a distinguished scholar with a Ph.D. in Mathematics from Aligarh Muslim University ๐Ÿ‡ฎ๐Ÿ‡ณ. His research brilliance shines in areas like fractals ๐Ÿ”ท, variational inequalities โž•, fixed point theory ๐ŸŽฏ, and optimization ๐Ÿ’ก, blending abstract theory with real-world applications. He has authored 17+ high-impact journal publications ๐Ÿ“š, completed two funded research projects ๐Ÿ”ฌ, and demonstrated excellence in advanced numerical methods and nonlinear functional analysis. Dr. Ahmadโ€™s academic versatility extends to a wide spectrum of mathematical disciplines ๐Ÿง , from complex analysis to engineering mathematics. His MATLAB and LaTeX proficiency ๐Ÿ–ฅ๏ธ enhances his analytical and scholarly output. A recipient of multiple prestigious fellowships and scholarships ๐Ÿ…, he is also a passionate educator, nurturing future scientists with deep mathematical insight and integrity. Dr. Ahmad embodies a rare fusion of academic rigor, innovation, and impactful teaching ๐ŸŽ“๐Ÿ’ผ.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

๐ŸŽ“ Education

Dr. Iqbal Ahmadโ€™s educational journey is a testament to academic excellence and relentless pursuit of knowledge ๐Ÿ“˜. He earned his Ph.D. in Mathematics from the prestigious Aligarh Muslim University ๐Ÿ‡ฎ๐Ÿ‡ณ, where he explored the intricate world of variational inclusions and equilibrium problems under the mentorship of Prof. Rais Ahmad. Preceding this, he completed his M.Sc. in Mathematics with a stellar 83% score, excelling in core subjects such as Functional Analysis, Topology, and Differential Geometry ๐Ÿ“. His academic foundation was laid with a B.Sc. (Hons) in Mathematics and further solidified through consistent first-division results right from his intermediate studies ๐Ÿง . Throughout his academic tenure, he received government-funded scholarships ๐ŸŽ–๏ธ and accolades that highlighted his potential as a scholar deeply rooted in both theory and application. Dr. Ahmadโ€™s education reflects both depth and diversity, forming a robust platform for his future academic and research contributions.

Professional Experience

Dr. Iqbal Ahmad has been serving as an Assistant Professor in the Department of Mechanical Engineering at Qassim University, Saudi Arabia ๐Ÿ‡ธ๐Ÿ‡ฆ, since August 2018. His professional role bridges the disciplines of engineering and mathematics, uniquely positioning him to impart both theoretical and applied knowledge ๐Ÿ“Š. Known for his engaging lectures and student mentorship ๐ŸŽ“, he teaches an extensive array of mathematical subjects ranging from Linear Algebra and PDEs to Complex Analysis and Optimization Theory ๐Ÿ“š. His ability to translate abstract mathematical concepts into practical engineering insights makes him a valuable asset in a multidisciplinary environment ๐Ÿ”ง. Beyond teaching, Dr. Ahmad is actively involved in curriculum development, academic advising, and collaborative research, embodying a holistic educator’s role. His global outlook, combined with his expertise in MATLAB and LaTeX ๐Ÿ’ป, enhances the academic rigor of his teaching and research work alike, reflecting professionalism, versatility, and dedication.

๐Ÿ”ฌ Research Interest

Dr. Ahmadโ€™s research interests are intellectually diverse and technically profound ๐ŸŒ. His primary focus spans fractals ๐Ÿ”ท, iterative processes ๐Ÿ”, fixed-point theory ๐ŸŽฏ, variational inequalities โž•, and nonlinear functional analysis. He delves into generalized variational-like inclusions, exploring their applications in fuzzy environments, Banach spaces, and engineering frameworks. His fascination with mathematical modeling and equilibrium problems intersects with fields such as optimization theory, computational mathematics, and ordered algebraic structures ๐Ÿงฎ. His recent work on Julia sets and transcendental functions using viscosity approximation methods underscores his commitment to pushing boundaries in pure and applied mathematics ๐Ÿ”ญ. Dr. Ahmad’s scholarly contributions are well-reflected in his 17+ peer-reviewed publications, many of which are indexed in SCI/SCIE and Scopus, establishing him as a rising figure in mathematical research ๐Ÿ“–. His work resonates with analytical elegance and applied relevance, advancing theoretical insights and offering real-world utility.

๐Ÿ… Awards and Honors

Dr. Iqbal Ahmad has been recognized repeatedly for his academic prowess and research excellence ๐Ÿ†. He received the UGC-BSR Fellowship for his doctoral research, a competitive grant awarded to promising scholars in India ๐Ÿ‡ฎ๐Ÿ‡ณ. His academic achievements during undergraduate and postgraduate studies were acknowledged through Merit-Cum-Means and other government-sponsored scholarships ๐Ÿช™. Beyond financial accolades, his scholarly stature is cemented by two successfully completed funded research projects at Qassim University, sponsored by the Deanship of Scientific Research ๐Ÿ”ฌ. These projects, focused on generalized vector variational inequalities and fuzzy mappings, not only expanded the frontier of mathematical inclusions but also showcased his leadership as a co-principal investigator ๐Ÿค. These honors reflect both the intellectual merit and practical relevance of his work, distinguishing him as a research-driven academic. Dr. Ahmadโ€™s decorated path is marked by recognition, influence, and a growing impact across mathematical and engineering communities.

โœ… Conclusion

Dr. Iqbal Ahmad exemplifies the ideal profile for the Best Researcher Award ๐Ÿฅ‡โ€”a scholar whose career seamlessly blends theoretical brilliance, research innovation, and educational impact. With a strong foundation in mathematics ๐ŸŽ“, international academic exposure ๐ŸŒ, and a growing body of high-impact publications ๐Ÿ“‘, he continues to enrich the academic landscape through rigorous research and interdisciplinary collaboration. His teaching inspires, his research influences, and his professional ethos uplifts the institutions he serves ๐Ÿ’ผ. Dr. Ahmadโ€™s journey reflects dedication, intellect, and a passion for mathematical inquiry that bridges boundaries between disciplines and continents โœจ. Whether through the lens of fractal geometry or the framework of optimization, his contributions resonate with both depth and originality. As a scholar with demonstrated excellence in both scholarship and service, Dr. Iqbal Ahmad is undoubtedly a deserving candidate for recognition at the highest level in academic and research excellence ๐Ÿ›๏ธ.

Publications Top Notes

  • Graph convergence and generalized Yosida approximation operator with an application
    Authors: R Ahmad, M Ishtyak, M Rahaman, I Ahmad
    Year: 2017
    Citations: 27
    Source: Mathematical Sciences 11, 155-163 ๐Ÿ“š

  • System of Yosida inclusions involving XOR operator
    Authors: I Ahmad, CT Pang, R Ahmad, M Ishtyak
    Year: 2017
    Citations: 27
    Source: Journal of Nonlinear and Convex Analysis 18 (5), 831-845 ๐Ÿ”„

  • On differential equations characterizing Legendrian submanifolds of Sasakian space forms
    Authors: R Ali, F Mofarreh, N Alluhaibi, A Ali, I Ahmad
    Year: 2020
    Citations: 15
    Source: Mathematics 8 (2), 150 ๐Ÿ“

  • Convergence theorems for split equality generalized mixed equilibrium problems for demi-contractive mappings
    Authors: M Rahaman, YC Liou, R Ahmad, I Ahmad
    Year: 2015
    Citations: 14
    Source: Journal of Inequalities and Applications 2015, 1-25 ๐Ÿ“ˆ

  • Validation of Authentic Leadership Questionnaire in Pakistani Context: Evidence from Higher Education Institutions of Khyber Pakhtunkhwa
    Authors: F Akbar, Z Ali, I Ahmad
    Year: 2019
    Citations: 13
    Source: Abasyn University Journal of Social Sciences 12 (1) ๐Ÿ“‘

  • An iterative algorithm for a system of generalized implicit variational inclusions
    Authors: I Ahmad, VN Mishra, R Ahmad, M Rahaman
    Year: 2016
    Citations: 12
    Source: SpringerPlus 5, 1-16 ๐Ÿ”

  • Convergence analysis and stability of perturbed three-step iterative algorithm for generalized mixed ordered quasi-variational inclusion involving XOR operator
    Authors: I Ahmad, M Rahaman, R Ahmad, I Ali
    Year: 2020
    Citations: 11
    Source: Optimization 69 (4), 821-845 ๐Ÿ”„

  • A new resolvent operator approach for solving a general variational inclusion problem involving XOR operation with convergence and stability analysis
    Authors: I Ahmad, CT Pang, R Ahmad, I Ali
    Year: 2020
    Citations: 9
    Source: ๆกƒๅœ’็ธฃ: ๅ…ƒๆ™บๅคงๅญธ่ณ‡่จŠ็ฎก็†ๅญธ็ณป ๐Ÿ“Š

  • Infestation of Meloidogyne enterolobii in newly established/old guava orchards and nurseries in Madhya Pradesh, Rajasthan and Uttar Pradesh
    Authors: M Khan, I Ahmad, KH Kumar, A Singh, PK Shukla
    Year: 2019
    Citations: 7
    Source: Annals of Plant Protection Sciences 27 (1), 170-171 ๐Ÿƒ

  • Relaxed resolvent operator for solving a variational inclusion problem
    Authors: I Ahmad, M Rahaman, R Ahmad
    Year: 2016
    Citations: 7
    Source: Statistics, Optimization & Information Computing 4 (2), 183-193 ๐Ÿ”„

  • Nonlinear ordered variational inclusion problem involving XOR operation with fuzzy mappings
    Authors: I Ahmad, SS Irfan, M Farid, P Shukla
    Year: 2020
    Citations: 6
    Source: Journal of Inequalities and Applications 2020, 1-18 ๐Ÿงฎ

  • Accelerating order of convergence using secant type methods
    Authors: D Jain, R Bhardwaj, I Ahmad
    Year: 2017
    Citations: 4
    Source: Journal of Interdisciplinary Mathematics 20 (2), 417-426 ๐Ÿง‘โ€๐Ÿซ

  • Julia sets of transcendental functions via a viscosity approximation-type iterative method with s-convexity
    Authors: I Ahmad, M Sajid, R Ahmad
    Year: 2024
    Citations: 3
    Source: Statistics, Optimization & Information Computing ๐Ÿ”„

  • Generalized composite vector equilibrium problems
    Authors: I Ahmad, SS Irfan, R Ahmad
    Year: 2017
    Citations: 3
    Source: Bull. Math. Anal. Appl 9 (1), 109-122 ๐Ÿ”„

 

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Published on by Math Scientist

Prof. Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Dr.Sci. at Institute for Informatics and Automation Problems NAS of Republic of Armenia

Professor Ashot Sergei Gevorkyan is a distinguished theoretical physicist and mathematician specializing in quantum physics, mathematical modeling, and complex dynamical systems. Serving as Head of Scientific Direction for Modeling of Multiscale Physical-Chemical Processes, he has significantly contributed to foundational quantum mechanics, quantum chaos, stochastic systems, and spin dynamics. With a PhD from Leningrad State University and a Doctor of Sciences from St. Petersburg State University, his career spans prestigious institutions across Armenia and Russia. Prof. Gevorkyan has led numerous international research projects, including INTAS and ISTC grants, and developed high-performance parallel algorithms for quantum simulations. His prolific publication record in leading journals like Foundations of Physics, Physics of Atomic Nuclei, and Particles highlights groundbreaking work on quantum vacuum, three-body systems, and self-organizing processes. A former editorial board member of the Journal of Computational Science (Elsevier), he continues to push the boundaries of quantum theory and computational modeling with remarkable depth and innovation.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Ashot Gevorkyan earned his foundational education in theoretical physics and mathematics at the Leningrad State University, where he received his PhD in Physics and Mathematics in 1978. His doctoral work focused on nonlinear dynamical systems and quantum mechanics. He later earned the prestigious Doctor of Sciences degree in 1990 from the renowned St. Petersburg State University, cementing his expertise in the fields of quantum physics and applied mathematics. Throughout his academic journey, Prof. Gevorkyan has continually integrated rigorous mathematical frameworks with physical theory, demonstrating a strong interdisciplinary foundation. His academic background set the stage for decades of pioneering research at the interface of theoretical physics, stochastic dynamics, and computational modeling. In addition to his formal degrees, Prof. Gevorkyan has participated in numerous international workshops, advanced courses, and research collaborations, enriching his academic repertoire and keeping him at the forefront of contemporary physics and mathematical innovation.

Professional Experience

Prof. Ashot Gevorkyan has held a variety of prominent academic and research roles throughout his distinguished career. He began as a researcher at the Yerevan Physics Institute and later joined the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia, where he led groundbreaking work in theoretical modeling and computational physics. He also served as a professor at the State Engineering University of Armenia and collaborated internationally with institutions in Russia and across Europe. Currently, he is Head of the Scientific Direction for Modeling of Multiscale Physical-Chemical Processes. Prof. Gevorkyan has been a principal investigator in multiple large-scale international research projects under the auspices of INTAS, ISTC, and other funding bodies, focusing on quantum chaos, complex systems, and nonlinear dynamics. His leadership in scientific modeling and computational theory has earned him a reputation as a trailblazer in both academic and applied physics communities.

Research Interest

Prof. Ashot Gevorkyanโ€™s research interests lie at the intersection of theoretical physics, quantum mechanics, and complex dynamical systems. He is particularly renowned for his work in quantum chaos, stochastic dynamics, and modeling of multiscale systems. His investigations explore the nature of quantum vacuum, self-organizing processes in quantum systems, and nonlinear spin dynamics in stochastic fields. He has also made notable advances in mathematical modeling using high-performance parallel computing to simulate many-body quantum systems and dissipative environments. His work often combines mathematical rigor with physical intuition, producing results that influence both theory and practical applications. Prof. Gevorkyanโ€™s research portfolio extends to optical turbulence, quantum three-body problems, and fractal structures in open quantum systems. His cross-disciplinary approach has fostered collaborations across mathematics, physics, and computer science, contributing significantly to our understanding of complex physical phenomena and enabling new computational techniques in modern physics.

Award and Honor

Throughout his career, Prof. Ashot Gevorkyan has received numerous awards and honors recognizing his exceptional contributions to science. He has been honored by leading scientific institutions for his pioneering work in quantum theory and mathematical modeling. His projects have received support and recognition from international research programs such as INTAS (International Association for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union) and ISTC (International Science and Technology Center), reflecting the global impact of his research. He has been invited to serve as a keynote speaker and visiting scientist at several prominent international conferences and workshops. Prof. Gevorkyan also served on the editorial board of the Journal of Computational Science (Elsevier), a role that underscores his status as a leading voice in the computational physics community. These accolades affirm his influence in shaping contemporary research across theoretical and applied physics.

Conclusion

Professor Ashot Gevorkyan stands as a luminary in the fields of theoretical physics and computational mathematics. His deep expertise in quantum systems, chaotic dynamics, and complex modeling has not only advanced fundamental science but also provided new computational tools for understanding nature’s most intricate processes. With a career spanning over four decades, he has demonstrated an unwavering commitment to scientific excellence through research, teaching, and international collaboration. His interdisciplinary work bridges theoretical insights with practical innovations, setting a high standard in modern scientific inquiry. Recognized both nationally and internationally, Prof. Gevorkyan continues to inspire the global scientific community through his profound intellect, visionary ideas, and groundbreaking publications. His legacy is defined by a lifelong pursuit of knowledge and a passion for decoding the complexities of the universe through mathematics and physics.

Publications Top Notes

  • Title: General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2024
    Source: Particles, 2024

  • Title: Quantum Chromodynamics of the Nucleon in Terms of Complex Probabilistic Processes
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2024
    Citations: 1
    Source: Symmetry, 2024

  • Title: Time-Dependent 4D Quantum Harmonic Oscillator and Reacting Hydrogen Atom
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2023
    Citations: 1
    Source: Symmetry, 2023

  • Title: Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev, K.A. Movsesyan
    Year: 2022
    Citations: 2
    Source: Mathematics, 2022

  • Title: Hidden Dynamical Symmetry and Quantum Thermodynamics from the First Principles: Quantized Small Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2021
    Citations: 3
    Source: Symmetry, 2021

  • Title: Gamma Radiation Production Using Channeled Positron Annihilation in Crystals
    Authors: A.S. Gevorkyan, K.B. Oganesyan, Y.V. Rostovtsev, G. Kurizki
    Year: 2015
    Citations: 61
    Source: Laser Physics Letters, 12(7), 076002

  • Title: Dielectric Permittivity Superlattice Formation
    Authors: G.A. Amatuni, A.S. Gevorkyan, S.G. Gevorkian, A.A. Hakobyan, K.B. Oganesyan, et al.
    Year: 2008
    Citations: 60
    Source: Laser Physics, 18, 608โ€“620

  • Title: Statistical Properties of Random Environment of 1D Quantum N-Particles System in External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan
    Year: 2010
    Citations: 45
    Source: Physics of Atomic Nuclei, 73, 320โ€“325

  • Title: A Disordered 1D Quantum N-Particle System in an Environment under the Influence of an External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan, G.O. Sargsyan, et al.
    Year: 2010
    Citations: 44
    Source: Physica Scripta, 2010 (T140), 014045

  • Title: Quantum-Mechanical Channel of Interactions Between Macroscopic Systems
    Authors: R.S. Sargsyan, G.G. Karamyana, A.S. Gevorkyan, A.Y. Khrennikov
    Year: 2010
    Citations: 22
    Source: AIP Conference Proceedings, 1232(1), 267

  • Title: Random Motion of Quantum Harmonic Oscillator โ€“ Thermodynamics of Nonrelativistic Vacuum
    Authors: A.V. Bogdanov, A.S. Gevorkyan, A.G. Grigoryan
    Year: 1999
    Citations: 20
    Source: AMS IP Studies in Advanced Mathematics, 13, 81โ€“112

  • Title: Bioscope: New Sensor for Remote Evaluation of the Physiological State of Biological Systems
    Authors: R.S. Sargsyan, A.S. Gevorkyan, G.G. Karamyan, V.T. Vardanyan, et al.
    Year: 2011
    Citations: 15
    Source: Physical Properties of Nanosystems, 299โ€“309

  • Title: Three Body Multichannel Scattering as a Model of Irreversible Quantum Mechanics
    Authors: A.V. Bogdanov, A.S. Gevorkyan
    Year: 1997
    Citations: 13
    Source: arXiv preprint, quant-ph/9712022

  • Title: Nonrelativistic Quantum Mechanics with Fundamental Environment
    Author: A.S. Gevorkyan
    Year: 2012
    Citations: 12
    Source: Theoretical Concepts of Quantum Mechanics, 161โ€“187

  • Title: Retracted: New Mathematical Conception and Computation Algorithm for Study of Quantum 3D Disordered Spin System under the Influence of External Field
    Authors: A.S. Gevorkyan, C.K. Hu, S. Flach
    Year: 2010
    Citations: 12
    Source: Transactions on Computational Science VII, E1โ€“E1

  • Title: Regular and Chaotic Quantum Dynamics in Atom-Diatom Reactive Collisions
    Authors: A.S. Gevorkyan, A.V. Bogdanov, G. Nyman
    Year: 2008
    Citations: 12
    Source: Physics of Atomic Nuclei, 71, 876โ€“883

  • Title: Exactly Solvable Models of Stochastic Quantum Mechanics within the Framework of Langevin-Schroedinger Type Equations
    Author: A.S. Gevorkyan
    Year: 2004
    Citations: 11
    Source: Topics in Analysis and its Applications, 415โ€“442

  • Title: A New Parallel Algorithm for Simulation of a Spin-Glass System on Scales of Space-Time Periods of an External Field
    Authors: A.S. Gevorkyan, A.G. Abadzhyan, G.S. Sukiasyan
    Year: 2011
    Citations: 10
    Source: Lab. of Information Technologies

 

Leonid Litinskii | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. Leonid Litinskii | Applied Mathematics | Best Researcher Award

Retired at Scientific Research Institute for System Analysis (formerly), Russia

Dr. Leonid Litinskii is a retired principal research scientist with an extensive academic and professional background in mathematical methods and statistical physics. He graduated from Kharkiv State University, Ukraine, and held prominent positions at the Institute for High Pressure Physics, Russian Academy of Sciences, and the Scientific Research Institute for System Analysis. With over 50 years of research experience, Dr. Litinskii is known for his pioneering work in developing the theory of vector neuron networks and the n-vicinity method for calculating the partition function in the Ising model. He has published around 100 papers in renowned scientific journals and contributed to the study of eigenvalues in the Ising model’s connection matrix. Additionally, Dr. Litinskii has made significant contributions to the analysis of quadratic functionals in large binary variable systems. A member of the European Neural Networks Society, he has left a lasting impact on the fields of mathematics and neural networks.

Professional Profileย 

Scopus Profile
ORCID Profile

Education

Dr. Leonid Litinskii completed his education at Kharkiv State University (now V. N. Karazin Kharkiv National University) in Ukraine, where he studied mathematics from 1966 to 1971. This solid foundation in mathematics paved the way for his distinguished career as a scientific researcher. His academic journey has always been focused on applying mathematical methods to complex scientific problems, particularly in statistical physics and neural networks. His studies and early research experiences contributed significantly to his future breakthroughs in these fields.

Professional Experience

Dr. Litinskiiโ€™s professional career spans over five decades, with notable research positions at esteemed institutions. He began his career as a scientific researcher at the Institute for High Pressure Physics of the Russian Academy of Sciences from 1973 to 2001. From 2001 to 2023, he worked as a Principal Research Scientist at the Scientific Research Institute for System Analysis, also within the Russian Academy of Sciences. Throughout his career, Dr. Litinskii has contributed extensively to the fields of mathematical physics and neural networks.

Research Interest

Dr. Litinskiiโ€™s research interests are primarily centered around mathematical methods in statistical physics and their application to neural networks. He has developed the theory of vector neuron networks and formulated the n-vicinity method for calculating the partition function of the Ising model. His work on the properties of eigenvalues in the Ising model’s connection matrix has been a significant contribution to the field of computational physics. Additionally, Dr. Litinskii has focused on the study of quadratic functionals in large binary variable systems, advancing mathematical modeling techniques.

Award and Honor

Throughout his career, Dr. Litinskii has earned recognition for his groundbreaking work in neural networks and statistical physics. While the details of specific awards and honors are not provided, his long tenure as a Principal Research Scientist and his role in advancing the fields of mathematics and neural networks have earned him respect and recognition in the scientific community. He is a member of the European Neural Networks Society, further emphasizing his distinguished position in the research community.

Conclusion

Dr. Leonid Litinskiiโ€™s career is a testament to dedication, innovation, and scholarly excellence. With over 50 years of research experience, his contributions to mathematical physics, neural networks, and statistical physics have been substantial. His work in developing the theory of vector neuron networks and the n-vicinity method has had a lasting impact on these fields. Though he has not yet focused on patents or practical applications, his theoretical contributions remain foundational. Dr. Litinskiiโ€™s legacy is one of a leading thinker who has shaped the advancement of mathematical and physical sciences.

Publications Top Noted

 

 

Sabah Kausar | Applied Mathematics | Young Scientist Award

Published on by Math Scientist

Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVOโ‚„ and BiVOโ‚„/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausarโ€™s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional Profileย 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVOโ‚„-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVOโ‚„ and BiVOโ‚„/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausarโ€™s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiOโ‚‚/BiVOโ‚„ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVOโ‚„-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Assoc. Prof. Dr. Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Associate Prof at College of Science and Engineering /Hamad Bin Khalifa University, Qatar

Dr. Samir Brahim Belhaouari is an accomplished Associate Professor at Hamad Bin Khalifa University, specializing in applied mathematics, optimization, pattern recognition, and machine learning. He holds a Ph.D. in Mathematical Sciences from the prestigious Federal Polytechnic School of Lausanne and a Masterโ€™s degree in Networks and Telecommunications from INP/ENSEEIHT in France. Dr. Belhaouari has over 300 published research papers and has made significant contributions to areas such as sustainable AI, bio-inspired neural networks, time-frequency transformations for prediction, and cryptography. His work has earned him numerous accolades, including Gold and Silver Medals at international exhibitions. He has been actively involved in global academic initiatives, with research collaborations in Europe, the USA, and the Middle East, and has led impactful research projects, such as AI solutions for medical imaging. With over 3,800 citations and an H-index of 32, Dr. Belhaouariโ€™s innovative work continues to shape the future of applied mathematics and AI.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Samir Brahim Belhaouari completed his Ph.D. in Mathematical Sciences, focusing on stochastic processes and their applications, at the prestigious Federal Polytechnic School of Lausanne (EPFL) in Switzerland in 2006. Prior to that, he earned a Master’s degree in Networks and Telecommunications, specializing in signal and image processing, from INP/ENSEEIHT in France in 2000. This strong educational foundation has been key to his outstanding career in applied mathematics, optimization, and machine learning. His educational journey reflects a commitment to excellence and a deep understanding of complex mathematical and computational theories, which he continues to apply in his innovative research projects.

Professional Experience

Dr. Belhaouari is an Associate Professor in the Division of Information and Computing Technology at Hamad Bin Khalifa University, Qatar. His career includes previous academic positions at the University of Sharjah, Radiological Technologies University-VT, and INNOPOLIS University in Russia. He has also worked with top institutions such as EPFL and INP. His professional experience spans various continents, providing a global perspective on educational and research practices. Additionally, his extensive involvement in research projects and university leadership showcases his dedication to advancing both academic and practical knowledge.

Research Interest

Dr. Samir Brahim Belhaouariโ€™s research interests encompass a wide array of topics, primarily focusing on applied mathematics, AI, machine learning, and optimization. His work delves into stochastic processes, bio-inspired neural networks, time-frequency transformations for time-series prediction, cryptographic algorithms, and sustainable AI. Notable projects include the development of green AI technologies, new neural network architectures, and advanced algorithms for feature extraction and video summarization. His research aims to bridge theoretical mathematics with real-world applications, particularly in fields like medical imaging, bioinformatics, and cryptography, thus contributing to the advancement of science and technology.

Award and Honor

Dr. Belhaouariโ€™s groundbreaking research has been recognized globally with multiple awards, including Gold and Silver Medals at international exhibitions. His contributions to the field of applied mathematics and AI have earned him high regard in academia. With an impressive citation index exceeding 3,800 and an H-index of 32, his work is highly influential in both theoretical and applied contexts. Furthermore, his leadership in various international academic initiatives and his role in establishing INNOPOLIS University highlight his commitment to advancing education and research worldwide.

Conclusion

Dr. Samir Brahim Belhaouari is a distinguished academic and researcher whose work has made a significant impact on applied mathematics, AI, and machine learning. His expertise spans a wide range of subjects, from stochastic processes and optimization to cryptography and bioinformatics. His extensive professional experience and global research collaborations have cemented his reputation as a thought leader in his field. Through his dedication to both teaching and groundbreaking research, Dr. Belhaouari continues to contribute to the advancement of knowledge and the development of innovative solutions to real-world challenges. His recognition with numerous awards and honors serves as a testament to his excellence and lasting influence.

Publications Top Noted

  • Title: t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
    Authors: M. Allaoui, S. Birahim Belhaouari, R. Hedjam, K. Bouanane, M.L. Kherfi
    Year: 2025
    Source: Expert Systems with Applications

  • Title: KNNOR-Reg: A python package for oversampling in imbalanced regression
    Authors: S. Birahim Belhaouari, A. Islam, K. Kassoul, A.I. Al-Fuqaha, A. Bouzerdoum
    Year: 2025
    Source: Software Impacts

  • Title: Intelligent mask image reconstruction for cardiac image segmentation through localโ€“global fusion
    Authors: A. Boukhamla, A. Nabiha, S. Birahim Belhaouari
    Year: 2025
    Source: Applied Intelligence

  • Title: G-EEGCS: Graph-based optimum electroencephalogram channel selection
    Authors: I. Faye, M.Z. Yusoff, S. Birahim Belhaouari
    Year: 2024
    Source: Biomedical Signal Processing and Control

  • Title: Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
    Authors: A.U. Rehman, S. Birahim Belhaouari, A. Bermak
    Year: 2024
    Citations: 2
    Source: Swarm and Evolutionary Computation

  • Title: Defense against adversarial attacks: robust and efficient compressed optimized neural networks
    Authors: I. Kraidia, A. Ghenai, S. Birahim Belhaouari
    Year: 2024
    Citations: 3
    Source: Scientific Reports

  • Title: Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
    Authors: N.S. Amer, S. Birahim Belhaouari
    Year: 2024
    Citations: 6
    Source: Scientific Reports

  • Title: A novel few shot learning derived architecture for long-term HbA1c prediction
    Authors: M.K. Qaraqe, A. Elzein, S. Birahim Belhaouari, M.S. Ilam, G. Petrovski
    Year: 2024
    Citations: 2
    Source: Scientific Reports

  • Title: Elevating recommender systems: Cutting-edge transfer learning and embedding solutions
    Authors: A. Fareed, S. Hassan, S. Birahim Belhaouari, Z. Halim
    Year: 2024
    Citations: 1
    Source: Applied Soft Computing Journal

  • Title: FairColor: An efficient algorithm for the Balanced and Fair Reviewer Assignment Problem
    Authors: K. Bouanane, A.N. Medakene, A. Benbelghit, S. Birahim Belhaouari
    Year: 2024
    Citations: 1
    Source: Information Processing and Management