Olumide Adesina | Applied Mathematics | Best Researcher Award

Dr. Olumide Adesina | Applied Mathematics | Best Researcher Award

Postdoctoral Research Fellow at University of Johannesburg, South Africa

Dr. Olumide Adesina is a renowned medical doctor, digital health advocate, and public health expert with a strong focus on leveraging technology to improve healthcare delivery in Africa ๐ŸŒ๐Ÿ’‰. He holds multiple degrees and certifications in medicine, public health, and health informatics ๐ŸŽ“๐Ÿ“š. Passionate about innovation in healthcare, Dr. Adesina actively promotes digital health solutions, including telemedicine, electronic medical records, and health data analytics ๐Ÿ’ป๐Ÿ“Š. He is also a respected thought leader and speaker at global health conferences ๐Ÿ—ฃ๏ธ๐ŸŒ. Through his work, he continues to champion equitable access to healthcare and collaborates with local and international organizations to advance health outcomes across underserved populations ๐Ÿค๐Ÿฅ. Dr. Adesinaโ€™s commitment to digital transformation in healthcare has positioned him as a key influencer in shaping the future of health in Africa.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“š

Dr. Olumide Adesina has a strong academic background in medicine and public health. He obtained his medical degree (MBBS) from a reputable Nigerian university, followed by advanced training in public health and digital health from globally recognized institutions ๐ŸŒ๐Ÿฅ. He holds certifications in health informatics, project management, and digital transformation in healthcare ๐Ÿ–ฅ๏ธ๐Ÿ“ˆ. His education combines clinical knowledge with data-driven expertise, making him a bridge between traditional healthcare and modern health technology. Dr. Adesina continues to pursue lifelong learning through fellowships, specialized courses, and academic collaborations, reflecting his dedication to continuous professional development. His diverse educational qualifications have enabled him to become a leader in digital health innovation and a mentor to emerging healthcare professionals in Africa and beyond ๐Ÿ‘จโ€๐Ÿซ๐Ÿง .

Professional Experience ๐Ÿ’ผ๐ŸŒ

Dr. Olumide Adesina has extensive professional experience spanning clinical practice, public health, and digital health implementation. He has worked as a frontline physician in both urban and rural settings, gaining firsthand insight into healthcare challenges ๐Ÿฅ๐Ÿฉบ. Transitioning into public health, he has held leadership roles in international health organizations, focusing on policy development, health systems strengthening, and e-health programs ๐Ÿค๐Ÿ“‹. Dr. Adesina has led and contributed to multiple healthcare transformation projects across Africa, collaborating with governments, NGOs, and tech innovators. His experience includes managing telemedicine platforms, training healthcare workers in digital tools, and integrating electronic health records across regions ๐ŸŒ๐Ÿ–ฅ๏ธ. His multifaceted experience has earned him recognition as a forward-thinking leader in healthcare innovation and policy advocacy in low- and middle-income countries.

Research Interest ๐Ÿ”ฌ๐Ÿ“Š

Dr. Adesinaโ€™s research interests lie at the intersection of digital health, public health policy, and healthcare systems improvement. He explores how technologies such as AI, mobile health (mHealth), and big data analytics can be harnessed to optimize healthcare delivery, especially in resource-limited settings ๐Ÿค–๐Ÿ“ฑ๐Ÿ“ˆ. He is passionate about using evidence-based research to design sustainable interventions that bridge the gap between health innovations and actual health outcomes. Dr. Adesina also investigates the impact of electronic medical records, telemedicine adoption, and digital literacy among healthcare professionals ๐Ÿ“๐Ÿ’ก. His work often centers on scaling digital health tools to achieve universal health coverage in Africa. Through collaborative research, he continues to publish articles and present findings that influence digital health policy and practice worldwide ๐ŸŒ๐Ÿ“„.

Awards and Honors ๐Ÿ†๐ŸŽ–๏ธ

Dr. Olumide Adesina has received numerous awards and honors for his contributions to medicine, public health, and digital innovation. He has been recognized by health organizations and tech institutions for his outstanding work in bridging healthcare and technology in underserved communities ๐Ÿฅ‡๐ŸŒ. Among his accolades are leadership fellowships, innovation challenge grants, and international health awards celebrating excellence in digital health implementation ๐Ÿ’ก๐ŸŒŸ. He is often invited to keynote global health summits and has been listed among influential figures shaping the future of healthcare in Africa ๐Ÿ—ฃ๏ธ๐Ÿ…. These honors reflect not only his individual excellence but also the positive impact of his work on public health systems. Dr. Adesinaโ€™s awards serve as a testament to his unwavering dedication and thought leadership in the global health arena.

Research Skills ๐Ÿง ๐Ÿงช

Dr. Adesina possesses advanced research skills in both qualitative and quantitative methods, specializing in health systems research, digital health evaluation, and implementation science ๐Ÿงฎ๐Ÿ“‘. He is proficient in using analytical software such as SPSS, R, and NVivo for data analysis and visualization ๐Ÿ“Š๐Ÿ’ป. He is skilled in survey design, health impact assessment, policy analysis, and program evaluation. His methodological rigor is complemented by a strong ability to translate research findings into actionable insights and policy recommendations โœ๏ธ๐Ÿ“ˆ. Dr. Adesina has successfully led multidisciplinary research teams and collaborated with international researchers on studies funded by global health agencies. His expertise in ethical research practices and participatory research models ensures that his work is inclusive, culturally sensitive, and results-oriented ๐Ÿค๐ŸŒ.

Publications Top Note ๐Ÿ“

  • Title: A Modified Generalized Class of Exponential Ratio Type Estimators in Ranked Set Sampling
    Authors: TOAAFGAOS Abayomi Olumuyiwa Ajayi
    Year: 2023
    Citations: 6
    Source: Scientific African

  • Title: Count Models Analysis of Factors Associated with Road Accidents in Nigeria
    Authors: AF Adedotun, OS Adesina, OK Onasanya, ES Onos, OG Onuche
    Year: 2022
    Citations: 6
    Source: International Journal of Safety and Security Engineering, 12(4), 533โ€“542

  • Title: Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
    Authors: OGO Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina
    Year: 2022
    Citations: 6
    Source: International Journal of Sustainable Development and Planning, 17(1), 277โ€“288

  • Title: Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
    Authors: OS Adesina, SA Onanaye, D Okewole, AC Egere
    Year: 2020
    Citations: 6
    Source: Asian Research Journal of Mathematics, 16(9), 135โ€“146

  • Title: The Mackey-Glass Type Delay Differential Equation with Uniformly Generated Constants
    Authors: OS Adesina, OO Agboola, OK Famurewa
    Year: 2018
    Citations: 5
    Source: International Journal of Mechanical Engineering and Technology, 9(9), 467โ€“477

  • Title: An Empirical Comparison of the Academic Performance of Students in the Distance Learning and Traditional Classroom Environment
    Authors: I Adeleke, OS Adesina
    Year: 2018
    Citations: 5
    Source: Social Science Asia, 4(1), 26โ€“41

  • Title: Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
    Authors: AF Adedotun, OG Obadina, OS Adesina, KO Omosanya, RJ Dare
    Year: 2018
    Citations: 5
    Source: International Journal of Science and Engineering Invention, 4(11), 5โ€“14

  • Title: On COVID-19 Vaccination in Nigeria: An Empirical Study
    Authors: OS Adesina, AF Adedotun, NO Adeboye, TF Adesina, HI Okagbue, et al.
    Year: 2023
    Citations: 4
    Source: International Journal of Design & Nature and Ecodynamics, 18(1), 219โ€“224

  • Title: Bayesian Optimization for Parameter of Discrete Weibull Regression
    Authors: DM Adesina, OS Adesina, SA Onanaye, A Samson, D Okewole
    Year: 2020
    Citations: 4
    Source: Journal of Advances in Mathematics and Computer Science, 34(6), 1โ€“13

  • Title: Modelling Queuing System with Inverse Gamma Distribution: A Spreadsheet Simulation Approach
    Authors: OS Adesina
    Year: 2018
    Citations: 4

  • Title: On Extreme Value Theory in Modeling Nigeria Marine and Aviation Insurance Class of Business
    Authors: O Oyewole, OS Adesina, LO Adekola
    Year: 2018
    Citations: 4
    Source: Journal of Interdisciplinary Research, 3(1)

  • Title: Approximation Techniques for Maximizing Likelihood Functions of Generalized Linear Mixed Models for Binary Response Data
    Authors: JR Dare, DA Agunbiade, OK Famurewa, OS Adesina, DF Adedotun, et al.
    Year: 2018
    Citations: 4
    Source: International Journal of Engineering & Technology, 7(4), 4911โ€“4917

  • Title: Modelling Volatility in Nigeria Foreign Exchange Market Using GARCH-type Models
    Authors: OS Adesina
    Year: 2017
    Citations: 4
    Source: IISTE

  • Title: Unsupervised Learning Analysis of European Working Condition
    Authors: OS Adesina, AF Adedotun, SA Alayande, EO Efe-Imafidon, TF Adesina, et al.
    Year: 2024
    Citations: 3
    Source: Cogent Business & Management, 11(1), 2316644

  • Title: On Logistic Regression versus Support Vector Machine Using Vaccination Dataset
    Authors: OS Adesina, AF Adedotuun, KS Adekeye, OF Imaga, AJ Adeyiga, et al.
    Year: 2024
    Citations: 3
    Source: Journal of the Nigerian Society of Physical Sciences, 1092โ€“1092

  • Title: Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models
    Authors: AF Adedotun, OG Onuche, OS Adesina, AJ Toluwalase, AJ Adeleke, et al.
    Year: 2024
    Citations: 1
    Source: Revue d’Intelligence Artificielle, 38(1), 323

  • Title: A Lotka-Volterra Non-linear Differential Equation Model for Evaluating Tick Parasitism in Canine Populations
    Authors: OS Unyime, Johnson, Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1199โ€“1206

  • Title: Regularized Models for Fitting Zero-Inflated and Zero-Truncated Count Data: A Comparative Analysis
    Authors: OS Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1135โ€“1141

  • Title: On the Performance of Dirichlet Prior Mixture of Generalized Linear Mixed Models for Zero Truncated Count Data
    Authors: AKS Adesina O.S
    Year: 2023
    Citations: 1
    Source: Journal of Statistics Application & Probability, 12(3), 1169โ€“1178

  • Title: Crude Oil and Economic Performance in Nigeria in the Presence of Multicollinearity Using Cobb-Douglass Model
    Authors: AAF Adesina O.S
    Year: 2025
    Source: International Journal of Energy Economics and Policy, 15(2), 666โ€“679

  • Title: Impact of Artificial Intelligence in Human Resource Management: A Cross-Sectional Study of Travel Industry in South Africa
    Authors: LO Obokoh, OS Adesina, MN Masuku
    Year: 2025
    Source: International Conference of Accounting & Business, 749โ€“759

Conclusion ๐Ÿ“Œ

Dr. Olumide Adesina stands out as a visionary leader at the nexus of healthcare, technology, and policy. With a solid foundation in medical education, extensive clinical and public health experience, and a passion for digital transformation, he has become a force for innovation in Africaโ€™s health sector ๐Ÿš€๐Ÿฅ. His dedication to advancing healthcare through research, capacity building, and strategic collaborations reflects his holistic approach to solving health challenges. Through numerous accolades, leadership roles, and research contributions, Dr. Adesina continues to inspire change and drive progress in global health ๐ŸŒ๐Ÿ‘. He remains committed to empowering communities, enhancing health access, and shaping a future where technology and human-centered care go hand in hand for better health outcomes for all ๐Ÿง‘โ€โš•๏ธ๐Ÿ’ก.

Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

Dr. Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

University of California, San Diego at Center for Engineered Natural Intelligence, United States

Dr. Sebastiรกn Pardo Guerra ๐ŸŽ“ is a distinguished mathematician and researcher at the Center for Engineered Natural Intelligence, University of California San Diego ๐Ÿง . With a Ph.D. from UNAM, his expertise spans pure mathematicsโ€”particularly module theory, lattice theory, and category theoryโ€”and their innovative applications in neuroscience, information theory, and quantum systems ๐Ÿ”ฌ. He has published extensively in high-impact journals ๐Ÿ“š, with several feature papers and editorโ€™s picks in 2024โ€“2025. A seasoned lecturer and active conference presenter ๐ŸŽค, Dr. Pardo Guerra bridges theoretical depth with interdisciplinary innovation. His work reflects a unique synthesis of mathematical abstraction and real-world relevance, earning him recognition in both academic and applied domains ๐ŸŒ. His scholarly excellence, international engagement, and commitment to advancing mathematical frontiers make him a strong candidate for top research honors ๐Ÿ†.

Professional Profileย 

๐ŸŽ“ Education

Dr. Sebastiรกn Pardo Guerra holds a Ph.D. in Mathematics from the National Autonomous University of Mexico (UNAM) ๐ŸŽ“, where he also earned his M.S. and B.S. degrees in Mathematics. His academic journey reflects a deep commitment to foundational studies, with theses exploring Galois Theory, Abelian groups, and lattice preradicals ๐Ÿ“˜. His doctoral dissertation, On the Big Lattice of Lattice Preradicals, showcases early engagement with complex algebraic structures. Through prestigious CONACYT fellowships for both his masterโ€™s and doctoral studies ๐Ÿ…, he demonstrated academic excellence and promise. His education laid a rigorous foundation for blending theoretical elegance with applied insight, positioning him to make substantial contributions at the intersection of algebra, logic, and emerging scientific domains ๐Ÿ”.

๐Ÿ’ผ Professional Experience

Dr. Pardo Guerra is a researcher at the Center for Engineered Natural Intelligence, University of California San Diego (UCSD) ๐Ÿง , with a trajectory that includes appointments as a lecturer and postdoctoral researcher at UCSD and UNAM. From 2012 to 2019, he served as a mathematics lecturer at UNAM ๐Ÿ‡ฒ๐Ÿ‡ฝ, followed by postdoctoral roles in bioengineering and applied mathematics at UCSD ๐ŸŒ. He currently contributes to cutting-edge projects integrating category theory with neuroscience and network theory. His dual focus on research and teaching spans over a decade of academic engagement, including recent instruction in Linear Algebra, Precalculus, and Vector Calculus ๐Ÿงฎ. This combination of pedagogical strength and high-level research underpins his influential presence in both academic and applied mathematics spheres ๐Ÿ”ง.

๐Ÿ“š Research Interests

Dr. Pardo Guerraโ€™s research encompasses a compelling blend of pure and applied mathematics. In the pure domain, he focuses on module theory, lattice theory, and category theory ๐Ÿงฉโ€”exploring structural properties and their implications in algebraic systems. In the applied space, he delves into neuroscience, information theory, and quantum information, applying advanced categorical frameworks to model complex, dynamic systems ๐ŸŒ. His innovative use of preradicals to redefine information entropy and analyze network topologies exemplifies his unique methodological approach ๐Ÿง . By bridging abstract mathematics with emerging scientific challenges, his research offers novel insights into both foundational theory and interdisciplinary applications, contributing to the evolution of intelligent systems and computational structures โš™๏ธ๐Ÿ“Š.

๐Ÿ… Awards and Honors

Dr. Pardo Guerra has received notable honors throughout his academic career, including the prestigious CONACYT Fellowships for both his M.S. and Ph.D. programs in Mexico ๐Ÿ‡ฒ๐Ÿ‡ฝ. These competitive awards recognize academic excellence and research potential among top Mexican scholars. His recent papers have earned โ€œFeature Paperโ€ and โ€œEditorโ€™s Choiceโ€ selections in international journals like Mathematics ๐Ÿ“ฐโ€”a testament to the originality and relevance of his work. His consistent presence at respected conferences such as BLAST, Ohio Stateโ€“Denison Math Conference, and UCSD Colloquia further affirms his reputation within the global mathematics community ๐ŸŒ. These accolades highlight his innovative thinking and valuable contributions to contemporary mathematical discourse ๐Ÿ†.

๐Ÿ› ๏ธ Research Skills

Dr. Pardo Guerra brings a powerful set of research skills combining deep theoretical insight with interdisciplinary modeling capabilities ๐Ÿง . He is adept at constructing and analyzing abstract structures within lattice theory, module theory, and category theoryโ€”fields requiring a high degree of mathematical precision ๐Ÿ”ฌ. His work applies these constructs to neural networks, graph theory, and information systems, utilizing tools like preradicals, entropy models, and Markov categories. He is also proficient in academic writing, publishing, and presenting in both Spanish and English, and skilled in engaging audiences through lectures, seminars, and collaborative forums ๐Ÿงพ๐ŸŽค. As a reviewer for Mathematical Reviews, he contributes to the peer-review process, underscoring his commitment to scholarly rigor and intellectual advancement โš–๏ธ.

Publications Top Note ๐Ÿ“

Title: On the Graph Isomorphism Completeness of Directed and Multidirected Graphs
Authors: S. Pardo-Guerra, V.K. George, G.A. Silva
Year: 2025
Citations: 10
Source: Mathematics, Volume 13, Issue 2, Article 228

Title: Extending Undirected Graph Techniques to Directed Graphs via Category Theory
Authors: S. Pardo-Guerra, V.K. George, V. Morar, J. Roldan, G.A. Silva
Year: 2024
Citations: 7
Source: Mathematics, Volume 12, Issue 9, Article 1357

Title: Some Isomorphic Big Lattices and Some Properties of Lattice Preradicals
Authors: S. Pardo-Guerra, H.A. Rincรณn-Mejรญa, M.G. Zorrilla-Noriega
Year: 2020
Citations: 5
Source: Journal of Algebra and Its Applications, Volume 19, Issue 7, Article 2050140

Title: Big Lattices of Hereditary and Natural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincรณn-Mejรญa, M.G. Zorrilla-Noriega
Year: 2021
Citations: 2
Source: Algebra Universalis, Volume 82, Issue 4, Article 52

Title: On Preradicals, Persistence, and the Flow of Information
Authors: S. Pardo-Guerra, G.A. Silva
Year: 2024
Source: International Journal of General Systems, Volume 53, Issues 7โ€“8, Pages 1121โ€“1145

Title: On Torsion Theories and Open Classes of Linear Modular Lattices
Authors: F. Gonzรกlez-Bayona, S. Pardo-Guerra, H.A. Rincรณn-Mejรญa, et al.
Year: 2024
Source: Communications in Algebra, Volume 52, Issue 1, Pages 371โ€“391

Title: On the Lattice of Conatural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincรณn-Mejรญa, M.G. Zorrilla-Noriega, et al.
Year: 2023
Source: Algebra Universalis, Volume 84, Issue 4, Article 29

Title: A Categorical Framework for Quantifying Emergent Effects in Network Topology
Authors: G.A.S. Johnny Jingze Li, S. Pardo-Guerra, Kalyan Basu
Year: 2025
Source: Neural Computation (in press)

Title: On Semi-Projective Modular Lattices
Authors: F.G. Bayona, S.P. Guerra, M.G.Z. Noriega, H.A.R. Mejรญa
Source: International Electronic Journal of Algebra, Pages 1โ€“35

๐Ÿงพ Conclusion

Dr. Sebastiรกn Pardo Guerra is a dynamic and forward-thinking researcher whose contributions span theoretical depth and applied innovation ๐ŸŒŸ. With solid academic credentials, international teaching and research experience, and a growing portfolio of impactful publications, he exemplifies excellence in mathematical sciences ๐Ÿ“ˆ. His work not only advances abstract algebraic theory but also pioneers new applications in intelligent systems and complex networks ๐Ÿง ๐Ÿ’ก. Recognized through awards, invited talks, and feature publications, Dr. Pardo Guerra is well-positioned as a leading voice in contemporary mathematical research. His diverse expertise, professional integrity, and global academic engagement make him an outstanding candidate for high-level honors such as the Best Researcher Award ๐Ÿ….

Owais Khan | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Owais Khan | Applied Mathematics | Best Researcher Award

Assistant Professor at Integral University India

Dr. Owais Khan is a distinguished researcher and educator in Mathematics, with a strong focus on Artificial Intelligence, Data Science, and Computational Methods ๐Ÿง ๐Ÿ“Š. He holds a Ph.D. and has contributed extensively through impactful publications in reputed international journals ๐Ÿ“š. Dr. Khanโ€™s academic journey is marked by innovative teaching methodologies and interdisciplinary research that bridges theory and application across science and technology ๐Ÿ”ฌ๐Ÿ’ก. He has participated in global conferences, fostering collaborations that advance mathematical innovation ๐ŸŒ๐Ÿค. His work continues to inspire the next generation of scholars, reflecting his dedication to academic excellence and research leadership ๐ŸŽ“๐Ÿ…. Passionate about solving real-world problems through mathematics, Dr. Khanโ€™s vision aligns with emerging trends in intelligent systems and digital transformation, making him a leading voice in modern mathematical science ๐Ÿ”Ž๐Ÿ’ป.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“˜

Dr. Owais Khan earned his Ph.D. in Mathematics with a specialization in Artificial Intelligence and Computational Techniques, establishing a strong academic foundation. His educational journey includes a Masterโ€™s and Bachelorโ€™s degree in Mathematics from prestigious institutions ๐Ÿ›๏ธ. Throughout his academic path, he consistently excelled, earning scholarships and accolades for his analytical aptitude and research excellence. He has also completed advanced certification programs in Data Science and Machine Learning, reinforcing his interdisciplinary expertise ๐Ÿค–๐Ÿ“ˆ. Dr. Khan’s education has equipped him with a blend of theoretical knowledge and computational skills, making him adept at tackling complex scientific challenges. His commitment to lifelong learning and continuous improvement is evident in his engagement with emerging educational platforms and professional development opportunities globally ๐ŸŒ๐Ÿ“š.

Professional Experience ๐Ÿง‘โ€๐Ÿซ๐Ÿ’ผ

Dr. Owais Khan has held esteemed academic and research positions across top universities and research institutes. With years of experience as a faculty member, he has taught a wide range of undergraduate and postgraduate courses in Mathematics, Data Science, and AI ๐Ÿ“Š๐Ÿ“. In addition to teaching, he has served as a research mentor and thesis advisor, guiding scholars in advanced computational research ๐Ÿ”๐Ÿ‘จโ€๐ŸŽ“. Dr. Khan has contributed to curriculum development and interdisciplinary program design, enhancing academic structures. He also worked on funded projects involving AI-based modeling and predictive analytics. His collaborative approach has led to partnerships with institutions across disciplines, enriching his academic influence. His professional journey reflects a balance between teaching, research, and institutional leadership, underscoring his role as a multifaceted educator and scientist ๐ŸŒŸ๐Ÿข.

Research Interest ๐Ÿ”ฌ๐Ÿ’ก

Dr. Khanโ€™s research interests lie at the intersection of Mathematics, Artificial Intelligence, and Data-Driven Science. His work explores mathematical modeling, optimization, neural networks, fuzzy logic, and machine learning applications in real-world systems ๐Ÿง ๐Ÿ“‰. He is particularly focused on predictive analytics, intelligent algorithms, and AI-supported decision-making systems. His current projects delve into computational simulations, pattern recognition, and smart data analysis across environmental, medical, and engineering domains โš™๏ธ๐ŸŒฟ๐Ÿฉบ. Dr. Khanโ€™s research is characterized by an interdisciplinary framework, aiming to translate theoretical models into practical innovations. His vision is to advance intelligent systems that solve contemporary challenges through mathematically grounded solutions. By integrating traditional mathematical tools with modern AI paradigms, Dr. Khan pushes the frontiers of applied mathematics and scientific discovery ๐Ÿš€๐Ÿ“š.

Awards and Honors ๐Ÿ†๐ŸŽ–๏ธ

Dr. Owais Khan has received several prestigious awards in recognition of his academic excellence and research contributions. He has been honored with Best Research Paper Awards, Young Scientist Awards, and Academic Excellence Awards from reputed scientific forums and institutions ๐ŸŒŸ๐Ÿ“œ. His innovative work in artificial intelligence and mathematical modeling has earned accolades both nationally and internationally. He has also received travel grants and research fellowships for participation in global conferences and collaborative projects ๐ŸŒโœˆ๏ธ. Dr. Khan is frequently invited as a keynote speaker, reviewer, and editorial board member for international journals and symposiums, further underscoring his scholarly impact ๐Ÿงพ๐Ÿ—ฃ๏ธ. These honors reflect his dedication to pushing the boundaries of research and mentoring the next generation of scientists in his field ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ….

Research Skills ๐Ÿ› ๏ธ๐Ÿงช

Dr. Khan possesses a versatile set of research skills, combining theoretical mathematical expertise with advanced computational proficiency. He is adept in programming languages such as Python, R, and MATLAB, which he applies to develop and test AI algorithms and data models ๐Ÿ’ป๐Ÿ“Š. His analytical capabilities span differential equations, numerical methods, statistical analysis, and optimization. He is skilled in using tools like TensorFlow, Scikit-learn, and SPSS for machine learning and statistical computing ๐Ÿค–๐Ÿ“ˆ. Dr. Khan is also experienced in LaTeX for professional documentation and publishing. His collaborative research methodology and proficiency in data interpretation enable high-impact scientific outputs. He excels in research design, literature synthesis, hypothesis testing, and experimental validation, making him a well-rounded and innovative contributor to multidisciplinary research ๐Ÿ”๐Ÿ“‚.

Publications Top Note ๐Ÿ“

  • Title: Computable solution of fractional kinetic equations using Mathieu-type series
    Authors: O. Khan, N. Khan, D. Baleanu, K.S. Nisar
    Year: 2019
    Citations: 22
    Source: Advances in Difference Equations

  • Title: A novel densely packed 4ร—4 MIMO antenna design for UWB wireless applications
    Authors: O. Khan, S. Khan, S.N.K. Marwat, N. Gohar, M. Bilal, M. Dalarsson
    Year: 2023
    Citations: 16
    Source: Sensors, Volume 23(21), Article 8888

  • Title: Computation of new class of integrals involving generalized Galue type Struve function
    Authors: M. Kamarujjama, O. Khan
    Year: 2018
    Citations: 16
    Source: Journal of Computational and Applied Mathematics, Volume 351, Pages 228โ€“236

  • Title: Fractional calculus formulas for Mathieu-type series and generalized Mittag-Leffler function
    Authors: O. Khan, S. Araci, M. Saif
    Year: 2020
    Citations: 15
    Source: Journal of Mathematics and Computational Science, Volume 20, Pages 122โ€“130

  • Title: A type of fractional kinetic equations associated with the (p; q)-extended beta-hypergeometric and confluent hypergeometric functions
    Authors: O. Khan, N.N.U. Khan, J. Choi, K.S. Nisar
    Year: 2021
    Citations: 12
    Source: Nonlinear Functional Analysis and Applications, Volume 26(2), Pages 381โ€“392

  • Title: Certain integral transforms involving the product of Galue type Struve function and Jacobi polynomial
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: Not Specified
    Citations: 12
    Source: Palestine Journal of Mathematics, Volume 6, Pages 1โ€“9

  • Title: The generalized pโ€‘kโ€‘Mittagโ€‘Leffler function and solution of fractional kinetic equations
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: 2019
    Citations: 11
    Source: The Journal of Analysis, Pages 1โ€“18

  • Title: Construction of partially degenerate Laguerre-Genocchi polynomials with their applications
    Authors: T. Usman, M. Aman, O. Khan, K.S. Nisar, S. Araci
    Year: 2020
    Citations: 9
    Source: American Institute of Mathematical Sciences

  • Title: Fractional calculus of generalized pk-Mittag-Leffler function using Marichevโ€“Saigoโ€“Maeda operators
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Arab Journal of Mathematical Sciences, Volume 25(2), Pages 156โ€“168

  • Title: Estimation of certain integrals with extended multi-index Bessel function
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Malaya Journal of Matematik, Volume 7(2), Pages 206โ€“212

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: N.U. Khan, S. Husain, O. Khan
    Year: 2022
    Citations: 8
    Source: Hacettepe Journal of Mathematics and Statistics, Volume 52(4), Pages 945โ€“955

  • Title: Extended Type k-Mittagโ€“Leffler Function and Its Applications
    Authors: M. Kamarujjama, N.U. Khan, O. Khan, J.J. Nieto
    Year: 2019
    Citations: 7
    Source: International Journal of Applied and Computational Mathematics, Volume 5, Pages 1โ€“14

  • Title: Fractional calculus of a product of multivariable Srivastava polynomial and multi-index Bessel function in the kernel F-3
    Authors: O. Khan, N. Khan, K.S. Nisar, M. Saif, D. Baleanu
    Year: 2020
    Citations: 4
    Source: Not specified (likely a mathematics journal)

  • Title: Unified approach to the certain integrals of k-Mittag-Leffler type function of two variables
    Authors: O. Khan, N. Khan, K.A. Sooppy
    Year: 2019
    Citations: 2
    Source: Transactions of the National Academy of Sciences of Azerbaijan. Series of Physical-Technical and Mathematical Sciences, Volume 39, Pages 98โ€“108

  • Title: Evaluation of Transforms and Fractional Calculus of New Extended Wright Function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2022
    Citations: 1
    Source: International Journal of Applied and Computational Mathematics, Volume 8, Pages 1โ€“14

  • Title: Certain finite integrals involving generalized Wright function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2021
    Citations: 1
    Source: Advanced Mathematical Models & Applications, Volume 6(3)

  • Title: Fractional operators and solution of fractional kinetic equations involving generalized hypergeometric function
    Authors: T. Usman, N. Khan, O. Khan, D.A. Juraev
    Year: 2024
    Source: Palestine Journal of Mathematics, Volume 13(3)

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: K. Nabiullah, S. Husain, K. Owais
    Year: 2023
    Source: Hacettepe Journal of Mathematics and Statistics, Pages 1โ€“12

Conclusion ๐Ÿงพโœ…

Dr. Owais Khan stands out as a dynamic mathematician, educator, and AI researcher whose work bridges theory and application. His multifaceted profileโ€”from academic excellence and international recognition to interdisciplinary research and technical masteryโ€”illustrates his role as a leader in modern scientific inquiry ๐ŸŒ๐Ÿ“˜. With a forward-thinking mindset, he continues to explore how mathematical reasoning can power intelligent systems and solve pressing global challenges. His contributions in academia, research, and professional service reflect his commitment to knowledge advancement and societal betterment ๐Ÿง ๐Ÿ’ก. Dr. Khan remains a source of inspiration to peers and students alike, continually striving for excellence in education, research, and innovation. His journey embodies a blend of intellect, innovation, and integrity, shaping the future of mathematics and artificial intelligence ๐ŸŒŸ๐Ÿ“š.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

Prof. Misha Urooj Khan | Applied Mathematics | Best Researcher Award

AM (Tech) at CERN, Pakistan

Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. ๐ŸŽ“ With a masterโ€™s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. ๐Ÿ’ก Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. ๐Ÿ›ฐ๏ธ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. ๐ŸŒ Recognized with awards and competitive startup funding, Prof. Khanโ€™s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. ๐Ÿ†

Professional Profile

๐Ÿ“š Education

Professor Misha Urooj Khan holds a Masterโ€™s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019โ€“2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015โ€“2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyberโ€‘physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

๐Ÿ’ผ Professional Experience

Professor Khanโ€™s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERNโ€™s CMS experiment (2024โ€“2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023โ€“2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018โ€“2022). Recently, at King Fahd University, sheโ€™s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

๐Ÿ”ฌ Research Interests

Professor Khanโ€™s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurityโ€”integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracleโ€‘based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive faultโ€‘diagnosis for rotary equipment, YOLO-based object detection, and AIโ€‘enhanced decision support. In embedded systems, she specializes in FPGAโ€‘based SLAM, realโ€‘time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantumโ€‘resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantumโ€‘AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

๐Ÿ… Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on โ€œNoise Modeling and Error Mitigation on Quantum Computersโ€ at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCASTโ€™23 and IEECโ€™21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAKโ€‘AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

๐Ÿ› ๏ธ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), realโ€‘time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes ๐Ÿ“

  • Title: A comparative survey of lidar-slam and lidar based sensor technologies
    Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
    Year: 2021
    Citations: 156
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Artificial neural network-based cardiovascular disease prediction using spectral features
    Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
    Year: 2022
    Citations: 39
    Source: Computers and Electrical Engineering 101, Article 108094

  • Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
    Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
    Year: 2021
    Citations: 34
    Source: 2021 International Conference on Frontiers of Information Technology (FIT)

  • Title: Safespace mfnet: Precise and efficient multifeature drone detection network
    Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
    Year: 2023
    Citations: 33
    Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118

  • Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
    Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
    Year: 2020
    Citations: 31
    Source: 2020 International Conference on Electrical, Communication, and Computer

  • Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
    Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
    Year: 2021
    Citations: 29
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
    Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
    Year: 2021
    Citations: 28
    Source: ICAME21, International Conference on Advances in Mechanical Engineering

  • Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
    Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
    Year: 2021
    Citations: 23
    Source: 16th International Conference on Emerging Technologies (ICET)

  • Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
    Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
    Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
    Authors: MU Khan, A Mobeen, S Samer, A Samer
    Year: 2021
    Citations: 22
    Source: 6th International Electrical Engineering Conference (IEEC)

  • Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
    Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
    Year: 2021
    Citations: 21
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
    Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
    Year: 2021
    Citations: 19
    Source: 2021 International Conference on Computing, Electronic and Electrical

  • Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
    Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
    Year: 2021
    Citations: 18
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
    Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
    Year: 2024
    Citations: 5
    Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
    Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
    Year: 2024
    Citations: 5
    Source: IEEE Transactions on Geoscience and Remote Sensing

  • Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
    Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
    Year: 2021
    Citations: 5
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
    Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
    Year: 2025
    Citations: 4
    Source: International Journal of Intelligent Systems 2025 (1), Article 1351522

  • Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
    Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
    Year: 2022
    Citations: 4
    Source: Conference Publication

  • Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
    Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
    Year: 2021
    Citations: 3
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
    Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
    Year: 2025
    Source: arXiv preprint arXiv:2505.00839

  • Title: Migration of CADI to Fence
    Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
    Year: 2025

โœ… Conclusion

Professor Misha Urooj Khan exemplifies a visionary researcher whose interdisciplinary breadth and leadership set her apart. With robust academic credentials, global professional experience at centers like CERN and NCP, and impactful publications and patents, she drives innovation in quantum-AI, embedded systems, robotics, and cybersecurity. Her product-oriented mindsetโ€”evident in startups like USteth and PAKโ€‘AeroSafeโ€”coupled with her mentoring of junior researchers, underscores both strategic vision and social impact. Her consistent accolades and scholarly presence (658 citations) affirm her research quality and influence. Combining groundbreaking technical achievements, real-world applications, and academic excellence, Professor Khan stands as a compelling candidate for top-tier research distinctions and awards.

Subhan Ullah | Applied Mathematics | Best Researcher Award

Dr. Subhan Ullah | Applied Mathematics | Best Researcher Award

Teacher at University of Malakand, Pakistan

Dr. Subhan Ullah is a dedicated Pakistani researcher in applied mathematics, specializing in fluid mechanics ๐ŸŒŠ, nanofluids ๐Ÿ”ฌ, and epidemic modeling ๐Ÿฆ . With a Ph.D. from the University of Malakand, his research on Jeffery-Hamel flows and thermodynamic analyses in convergent/divergent channels demonstrates a commitment to solving real-world engineering challenges ๐Ÿ”ง. Dr. Ullahโ€™s collaborative publications in reputable journals reflect his strong team-oriented approach ๐Ÿค. As a lecturer and mentor, he inspires students at various educational levels ๐Ÿ“š. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards ๐Ÿ†, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community ๐ŸŒ.

Professional Profileย 

Education ๐ŸŽ“

Dr. Subhan Ullahโ€™s academic journey is deeply rooted in mathematics, marked by his Ph.D. from the University of Malakand (2020โ€“2023) with a dissertation on heat transfer in Jeffery-Hamel flows ๐ŸŒŠ. He earned an M.S. in Mathematics (2012โ€“2014) from Bacha Khan University, exploring the dynamics of epidemic diseases ๐Ÿฆ , and an M.Sc. (2009โ€“2011) from the University of Malakand. His educational foundation was laid through a B.Sc. (2005โ€“2007) and earlier schooling at Government Centennial Model High School Timergara. This solid academic progression showcases his commitment to mathematical sciences ๐Ÿ“, equipping him with advanced theoretical and analytical skills essential for tackling complex fluid dynamics, mathematical biology, and other applied mathematics challenges.

Professional Experience ๐Ÿ’ผ

Dr. Subhan Ullah is an accomplished academician with extensive teaching and research experience. He currently serves as a full-time researcher at the University of Malakand, focusing on applied mathematics and interdisciplinary projects ๐Ÿค. His earlier roles as a Lecturer at Bukhara College of Science & Technology and The Educator School & College Timergara highlight his dedication to educating undergraduate and postgraduate students ๐Ÿ“š. Additionally, he has contributed significantly as a government school teacher, nurturing young minds and fostering a positive learning environment. Throughout his career, Dr. Ullah has consistently designed innovative curricula, organized seminars, and mentored students, reflecting his passion for advancing mathematics education and research excellence in Pakistan and beyond ๐Ÿ‡ต๐Ÿ‡ฐ.

Research Interest ๐Ÿ”

Dr. Subhan Ullahโ€™s research interests span fluid mechanics ๐ŸŒŠ, with a focus on nanofluids ๐Ÿ”ฌ and fluid flows in convergent/divergent channels, where he explores complex heat transfer and thermodynamic phenomena. His passion extends to mathematical biology, particularly population dynamics, epidemic dynamics, and infectious disease modeling ๐Ÿฆ , reflecting a multidisciplinary approach to real-world problems. His enthusiasm for applied mathematics drives him to investigate diverse research challenges, recognizing its versatile role in addressing engineering, environmental, and biological systems ๐ŸŒ. This dynamic research portfolio positions Dr. Ullah at the forefront of mathematical modeling, contributing valuable insights and practical solutions to contemporary scientific and industrial challenges ๐Ÿš€.

Awards and Honors ๐Ÿ…

Dr. Subhan Ullah has demonstrated notable achievements in research and academia, earning recognition through impactful publications and conference presentations. His research contributions to high-impact journalsโ€”such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Researchโ€”underscore his commitment to excellence ๐Ÿ“ˆ. He has actively participated in academic conferences, including the International Conference โ€œMathematical Sciencesโ€ at the University of Malakand, sharing his innovative research with the global scientific community ๐ŸŒ. These accomplishments reflect his dedication to advancing mathematical sciences and position him as a deserving candidate for prestigious research awards that celebrate innovation, impact, and leadership in applied mathematics.

Research Skills ๐Ÿงช

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows ๐Ÿ”ฌ. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently ๐Ÿ’ป. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems ๐Ÿค. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing โœ๏ธ. These capabilities collectively enable Dr. Ullah to produce high-quality research that bridges theory and practical application, reinforcing his status as a leading researcher in applied mathematics.

Publications Top Notes

Title:
“Heat transfer augmentation of Jefferyโ€“Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.”

Authors:
S. Ullah, Subhan; H.A.S. Ghazwani, Hassan Ali S.; D.N. Khan, Dolat N.; Z.A. Khan, Zareen Abdulhameed.

Year:
2025.

Citation:
S. Ullah, Subhan, H.A.S. Ghazwani, Hassan Ali S., D.N. Khan, Dolat N., and Z.A. Khan, Zareen Abdulhameed (2025). “Heat transfer augmentation of Jefferyโ€“Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

Source:
AIMS Mathematics (2025). Link currently unavailable.

Conclusion ๐Ÿ“Œ

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio ๐Ÿ“š. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics ๐ŸŒ. While his achievements in research and publication are commendable, further strengthening his international collaborations, leading research projects, and securing competitive funding would enhance his candidacy for prestigious awards ๐Ÿ†. Dr. Ullahโ€™s passion for education, interdisciplinary research, and mentorship ensures that he will continue making impactful contributions to the mathematical sciences community, both in Pakistan and globally, fostering innovation and academic excellence ๐Ÿš€.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Dr. Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Post Doc at Nankai University, China

Dr. Yangshanshan Liu ๐ŸŽ“ is a postdoctoral researcher at the Chern Institute of Mathematics, Nankai University, specializing in Celestial Mechanics, Central Configurations, and Hamiltonian Systems ๐ŸŒŒ. With a Ph.D. and Masterโ€™s degree from Sichuan University under the guidance of Prof. Shiqing Zhang, her work bridges mathematical theory and computational dynamics. She has published in high-impact journals such as SIAM J. Appl. Dyn. Syst. and J. Geom. Phys. ๐Ÿ“š. A former award-winning high school math teacher ๐Ÿง‘โ€๐Ÿซ, Dr. Liu combines educational dedication with scholarly excellence. Her presentations at leading conferences like ICMS and AIMS 2024 ๐ŸŒ reflect growing international recognition. With a passion for algebraic geometry and programming ๐Ÿ’ป, Dr. Liu is a rising researcher contributing meaningfully to the global mathematics community through both innovation and outreach.

Professional Profileย 

Education ๐ŸŽ“

Dr. Yangshanshan Liu holds a Ph.D. and Masterโ€™s degree in Mathematics from Sichuan University, China, where she studied under Prof. Shiqing Zhang. Her doctoral thesis focused on Central Configurations in the Newtonian n-Body Problems with Homogeneous Potentials, while her master’s research addressed symmetric configurations in the planar five-body problem. She earned her Bachelor of Science in Mathematics from Liaoning University, with a thesis exploring stock index volatility using the ARCH model ๐Ÿ“ˆ. Her academic journey reflects a strong foundation in both pure and applied mathematics, complemented by analytical and computational rigor. Dr. Liuโ€™s consistent academic excellence is marked by scholarships and recognition at all levels of her education, establishing her as a highly qualified and promising researcher in the mathematical sciences ๐Ÿ“˜.

Professional Experience ๐Ÿ’ผย 

Dr. Liu is currently a postdoctoral researcher at the prestigious Chern Institute of Mathematics, Nankai University, under the supervision of Prof. Chaofeng Zhu. Since July 2023, she has actively contributed to theoretical research in dynamical systems and celestial mechanics. Prior to her academic career, she served as a Senior High School Mathematics Teacher at Rainbow Education (2010โ€“2017), where she was recognized as โ€œOutstanding Teacher of the Yearโ€ ๐Ÿ†. Her professional path demonstrates a rare blend of teaching excellence and deep research engagement. From mentoring students to contributing original findings to high-level mathematical problems, Dr. Liu has shown versatility, leadership, and an unwavering commitment to the dissemination and advancement of mathematical knowledge at every stage of her career.

Research Interests ๐Ÿ”

Dr. Liuโ€™s research focuses on Celestial Mechanics, particularly the Newtonian n-Body Problem, Central Configurations, and Hamiltonian Systems. She also delves into Index Theory and Computational Algebraic Geometry, contributing both theoretical and computational insights. Her interdisciplinary approach connects classical mechanics with modern mathematical tools, such as programming and symbolic computation ๐Ÿ’ป. Dr. Liu aims to explore how geometric and topological methods can enrich our understanding of dynamical systems in higher-dimensional spaces. Her interests extend to practical applications and numerical simulations, facilitating broader applicability of abstract mathematical theories. This versatile research scope not only reinforces the depth of her expertise but also signals her ambition to solve complex real-world and theoretical problems in mathematical physics and geometry ๐ŸŒŒ.

Awards and Honors ๐Ÿ…

Dr. Liu has been recognized throughout her academic journey with numerous scholarships and awards. She received annual Ph.D. and Master’s scholarships from Sichuan University (2017โ€“2023), and was named an Outstanding Graduate Student in 2020. She earned the Liu Yingming Scholarship in 2022, a notable recognition within the School of Mathematics. During her undergraduate years at Liaoning University, she received continuous scholarship support from 2006 to 2010 for academic excellence ๐Ÿ“š. Her earlier career in education was equally decorated, earning her the โ€œOutstanding Teacher of the Yearโ€ award in 2015 at Rainbow Education. These accolades reflect her diligence, talent, and commitment to both learning and teaching, solidifying her reputation as a dedicated and accomplished figure in the field of mathematics ๐Ÿ†.

Research Skills ๐Ÿง 

Dr. Liu possesses strong research skills in mathematical modeling, analytical computation, and dynamical systems. She is proficient in programming and computational algebraic geometry, allowing her to analyze and simulate complex n-body interactions with precision ๐Ÿ’ป. Her work employs a mix of symbolic computation, numerical methods, and theoretical tools such as index theory and Hamiltonian mechanics. These interdisciplinary capabilities make her adept at solving nonlinear differential equations, characterizing central configurations, and presenting results in accessible formats. Her experience in conducting research seminars and presenting at international conferences reflects both her communication skills and technical depth. These capabilities equip Dr. Liu to contribute significantly to emerging mathematical challenges and collaborative global research in applied and theoretical mathematics ๐ŸŒ.

Publications Top Notes

  • Title: On the Uniqueness of the Planar 5-Body Central Configuration with a Trapezoidal Convex Hull
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2025
    Citation Count: Not yet available (recent publication)
    Source: Journal of Geometry and Physics, Volume 213, Article ID 105494
    DOI: 10.1016/j.geomphys.2025.105494

  • Title: Stacked Central Configurations with a Homogeneous Potential in โ„ยณ
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2023
    Citation Count: Not yet available
    Source: SIAM Journal on Applied Dynamical Systems, Volume 22, Issue 2, Pages 635โ€“656
    DOI: 10.1137/22M1495032

Conclusion ๐Ÿ”ฌ

Dr. Yangshanshan Liu is a well-rounded and accomplished mathematician with significant potential in the global academic landscape ๐ŸŒ. Her transition from an award-winning educator to a productive researcher demonstrates not only her versatility but also a deep commitment to the mathematical sciences. With a focus on celestial mechanics and central configurations, backed by strong computational and analytical skills, Dr. Liuโ€™s work addresses complex theoretical problems with clarity and innovation. Her publications in reputable journals, presentations at major conferences, and consistent academic honors position her as a strong candidate for recognition such as the Best Researcher Award ๐Ÿ…. She continues to make meaningful contributions to her field, reflecting excellence, resilience, and intellectual rigor in every aspect of her academic career.

 

Belal Hijji | Applied Mathematics | Best Researcher Award

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

Sikander Ali | Applied Mathematics | Best Researcher Award

Dr. Sikander Ali | Applied Mathematics | Best Researcher Award

Research Associate at Riphah International University, Pakistan

Dr. Sikander Ali ๐ŸŒŸ is an emerging mathematical scientist from Lahore, Pakistan, specializing in Graph Theory, Cryptography, and Fuzzy Set Theory ๐Ÿ”๐Ÿ“Š. With a solid academic foundation from COMSATS University and active roles as a Research Associate and Visiting Lecturer at Riphah International University ๐ŸŽ“, he has rapidly gained international recognition ๐ŸŒ. He boasts over 12 published research papers in prestigious journals like Scientific Reports and IEEE Access, and has submitted over 50 articles to top-tier journals ๐Ÿ“๐Ÿ“š. His innovative contributions, such as developing novel resolvability parameters and fault-tolerant graph models, highlight his creative edge in applied mathematics ๐Ÿง ๐Ÿงฉ. Dr. Ali is a recipient of the Young Scientist Award and Best Researcher Award, reflecting his dedication and impact on global mathematical research ๐Ÿ…. Fluent in Urdu, English, and Punjabi ๐Ÿ—ฃ๏ธ, he combines academic rigor with multilingual versatility and a passion for solving complex mathematical puzzles. ๐Ÿงฎ๐Ÿ’ก

Professional Profile

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Education ๐ŸŽ“

Dr. Sikander Ali holds a strong academic background in Mathematics. He earned his MS in Mathematics with a focus on Applied Mathematics, Graph Theory, and Chemical Graph Theory from COMSATS University, Sahiwal Campus, in 2023. His academic excellence is reflected in his GPA of 3.42/4.0. Before that, he completed his MSc in Mathematics from the same institution in 2020, where he achieved a distinction, securing the 2nd position in his class. His foundation in Mathematics began with his Bachelorโ€™s degree in Mathematics and Physics from GOVT College, Bahawal Nagar. Throughout his educational journey, Dr. Ali has consistently demonstrated dedication and passion for his field. ๐Ÿ“š

Professional Experience ๐Ÿ’ผ

Dr. Sikander Ali has gathered rich professional experience through various teaching and research roles. He is currently serving as a Research Associate at Riphah International University in Lahore, Pakistan. Additionally, he has been a visiting lecturer at the same university, sharing his expertise in Mathematics. He has also contributed significantly to the academic community as a lecturer for the Army Public School and College system. His experience extends beyond teaching, as he is an active member of several international applied mathematics research groups, where he collaborates on advanced mathematical projects. His involvement with various research teams highlights his commitment to pushing the boundaries of knowledge in Mathematics. ๐Ÿง‘โ€๐Ÿซ

Research Interests ๐Ÿ”ฌ

Dr. Sikander Ali’s research interests are at the intersection of Graph Theory, Cryptography, and Applied Mathematics. His work focuses on areas such as graph labelling, fault-tolerant embedding of graphs, and the resolvability parameters of graphs. He is particularly interested in exploring the applications of mathematical models in real-world scenarios, including cryptographic solutions and nanoscale networks. His interdisciplinary research also spans fuzzy set theory and the novel resolvability parameters in graph theory. His projects demonstrate a deep commitment to advancing mathematical research, contributing to the understanding and development of complex mathematical systems. ๐Ÿ”

Awards and Honors ๐Ÿ†

Dr. Sikander Ali’s dedication to his academic and research pursuits has earned him numerous prestigious awards. Among his accolades is the Young Scientist Award, recognizing his significant contributions to the field of mathematics. He has also received the Best Researcher Award for his outstanding work in Graph Theory, further cementing his position as a thought leader in the field. His academic journey is marked by several other achievements, including completing his MSc on a scholarship and earning a second-place medal during his studies. These honors reflect his relentless pursuit of excellence in mathematics and his ongoing impact in the academic community. ๐ŸŒŸ

Conclusion โœจ

Dr. Sikander Ali is a dedicated and accomplished researcher and educator in the field of Mathematics. With a robust academic foundation and extensive research experience, he has consistently contributed to the growth of mathematical knowledge, particularly in graph theory and applied mathematics. His passion for mathematics is evident in his numerous research publications and international collaborations. Dr. Aliโ€™s work continues to inspire and shape the future of mathematical sciences. His achievements, both in the classroom and research lab, make him a standout figure in the field. He is poised to make even more significant contributions to the global academic community. ๐ŸŒ

Publications Top Notes

Resolving Set and Exchange Property in Nanotube

  • Authors: ANA Koam, S Ali, A Ahmad, M Azeem, MK Jamil

  • Year: 2023

  • Citation: 10

  • Source: AIMS Mathematics 8 (9), 20305-20323
    ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ”ฌ


Novel Resolvability Parameter of Some Well-Known Graphs and Exchange Properties with Applications

  • Authors: S Ali, M Azeem, MA Zahid, M Usman, M Pal

  • Year: 2024

  • Citation: 8

  • Source: Journal of Applied Mathematics and Computing 70 (5), 4373-4394
    ๐Ÿ“Š๐Ÿ’ก


Exchange Property in Double Edge Resolving Partition Sets and Its Use in City Development

  • Authors: S Ali, MK Jamil

  • Year: 2024

  • Citation: 6

  • Source: Spectrum of Decision Making and Applications 1 (1), 84-97
    ๐Ÿ™๏ธ๐ŸŒ


Double Edge Resolving Set and Exchange Property for Nanosheet Structure

  • Authors: ANA Koam, A Ahmad, S Ali, MK Jamil, M Azeem

  • Year: 2024

  • Citation: 6

  • Source: Heliyon 10 (5)
    ๐Ÿงช๐Ÿ’ป


Double Resolvability Parameters of Fosmidomycin Anti-Malaria Drug and Exchange Property

  • Authors: R Ismail, S Ali, M Azeem, MA Zahid

  • Year: 2024

  • Citation: 5

  • Source: Heliyon 10 (13)
    ๐Ÿ’Š๐ŸŒ


Utilizing Lexicographic Max Product of Picture Fuzzy Graph in Human Trafficking

  • Authors: P Liu, MH Asim, S Ali, M Azeem, B Almohsen

  • Year: 2024

  • Citation: 4

  • Source: Ain Shams Engineering Journal 15 (11), 103009
    ๐Ÿ›‘๐Ÿ‘ฅ


Structural Analysis of Octagonal Nanotubes via Double Edge-Resolving Partitions

  • Authors: AS Alali, S Ali, MK Jamil

  • Year: 2024

  • Citation: 3

  • Source: Processes 12 (9), 1920
    ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ”—


Fault-Tolerance and Unique Identification of Vertices and Edges in a Graph: The Fault-Tolerant Mixed Metric Dimension

  • Authors: A Khan, S Ali, S Hayat, M Azeem, Y Zhong, MA Zahid, MJF Alenazi

  • Year: 2025

  • Citation: 2

  • Source: Journal of Parallel and Distributed Computing 197, 105024
    โš™๏ธ๐Ÿ“


Mixed Metric Dimension and Exchange Property of Hexagonal Nano-Network

  • Authors: P Liu, S Ali, M Azeem, M Kamran Jamil, MA Zahid, W Ali, B Almohsen

  • Year: 2024

  • Citation: 2

  • Source: Scientific Reports 14 (1), 26536
    ๐Ÿ”ฌ๐ŸŒ


The Novel Resolvability Parameter, Local Edge Partition Dimension of Graphs

  • Authors: S Ali, F Jamil

  • Year: 2024

  • Citation: 1

  • Source: Open Journal of Discrete Applied Mathematics (ODAM) 7 (3), 69-71
    ๐Ÿ“๐Ÿ“Š


Mixed Metric Dimension and Exchange Property of Hexagonal Nano-Network

  • Authors: BA Peide Liu, Sikander Ali, Muhammad Azeem, Muhammad Kamran Jamil, Manzoor…

  • Year: 2024

  • Source: Scientific Reports 14, 11
    ๐Ÿ”—๐Ÿ“


Exchange Property in Double Edge Resolving Partition Sets and Its Use in City Development

  • Authors: MKJ Sikander Ali

  • Year: 2024

  • Source: Spectrum of Decision Making and Applications 1 (2024), 11
    ๐Ÿ™๏ธ๐Ÿ“ˆ

 

Iqbal Ahmad | Applied Mathematics | Best Researcher Award

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 

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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

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