Sana Habib | Mathematics | Best Researcher Award

Dr. Sana Habib | Mathematics | Best Researcher Award

Shaanxi Normal Unversity | China

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Early Academic Pursuits ๐Ÿ“šโœจ

Dr. Sana Habib's academic journey began with a Master's in Mathematics from the School of Mathematics and Statistics, University of Punjab, Lahore, Pakistan, in 2014. Her keen interest in the mathematical sciences led her to pursue a Ph.D. in Mathematics at Northwestern Polytechnical University, Xi'an, China, which she completed in 2020. Supported by a prestigious Chinese Government Scholarship (CSC) and research funding for five years, she participated in international workshops like the one at Tsinghua University in Sanya, China, further honing her expertise in advanced mathematical concepts.

Professional Endeavors ๐Ÿข๐Ÿ”

Dr. Habib embarked on a dynamic career in academia and research, serving as an Assistant Professor and Research Coordinator at Sir Syed CASE Institute of Technology, Islamabad, Pakistan, from 2021 to 2023. In this role, she supervised master's students, coordinated impactful research projects, and taught advanced topics such as algebra and fuzzy set theory. Currently, she is a Postdoctoral Fellow at Shaanxi Normal University, Xi'an, China, where she conducts advanced research on possibility multi-fuzzy soft ordered semigroups and their applications in decision sciences while collaborating with international research teams.

Contributions and Research Focus ๐Ÿ”ฌ๐Ÿ“–

A prolific researcher, Dr. Habib has made significant contributions to pure and applied mathematics, particularly in ordered semigroups, fuzzy set theory, and Multi-Criteria Decision-Making (MCDM). Her groundbreaking work includes innovative approaches to possibility fuzzy soft ordered semigroups and their applications. Her research articles have been widely recognized, addressing topics such as multi-propositions logic, hybrid optimization for electric vehicle infrastructure, and theoretical advancements in mathematical frameworks.

Accolades and Recognition ๐Ÿ†๐ŸŒŸ

Dr. Habib's achievements have been acknowledged through numerous honors, including the Chinese Government Scholarship for her doctoral studies and recognition as an approved supervisor for Master's and Ph.D. programs by Pakistan's Higher Education Commission (HEC). Her academic excellence and professional impact have positioned her as a leading voice in mathematics and decision sciences.

Impact and Influence ๐ŸŒ๐Ÿ’ก

Through her teaching and research, Dr. Habib has influenced countless students and peers. Her collaborative international projects and extensive publication record in SCI journals reflect her dedication to advancing mathematical knowledge and its practical applications. By addressing complex mathematical problems with innovative solutions, she continues to contribute meaningfully to academia and industry.

Legacy and Future Contributions ๐Ÿš€๐ŸŒ 

With a proven track record of excellence and a commitment to fostering innovation, Dr. Sana Habib is poised to leave an enduring legacy in mathematics. Her future endeavors aim to deepen the understanding of fuzzy set theory and ordered semigroups while exploring their applications in emerging fields. As a dedicated educator and researcher, her work promises to inspire and shape the next generation of mathematicians.

 

Publications


๐Ÿ“– Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals
 Authors: Sana Habib, Kashif Habib, Violeta Leoreanu-Fotea, Faiz Muhammad Khan
Journal: Mathematics
Year: 2025


๐Ÿ“– A Hybrid Optimization Approach for Strategically Placing Electric Vehicle Charging Stations in a Radial Distribution IEEE-33 Bus System
Authors: K. Habib, S. Habib, S. Khan, A. Jafaripournimchahi, X. Xing
Journal: Engineering Research Express
Year: 2024


๐Ÿ“– An Experimental Study of Classical Truth Logic on Multi-Propositions Consistent and Incompatible: Dual-Process Theories and Modal Syllogistic of Deduction
 Authors: S. Waheed, A. Waheed, S. Habib
 Journal: PLOS ONE
 Year: 2024


๐Ÿ“– A Progressive Outlook on Possibility Multi-Fuzzy Soft Ordered Semigroups: Theory and Analysis
 Authors: S. Habib, F. M. Khan, V. Leoreanu-Fotea
Journal: Axioms
Year: 2024


๐Ÿ“– A Truth Logic of Modalities Consistent and Incompatible: A Computational Program and Experimental Studies Among College Students
 Authors: S. Waheed, M. Wang, A. Waheed, S. Habib
 Journal: Journal of Tertiary Education and Learning
 Year: 2023


 

Orchidea Maria Lecian | Physics and Astronomy | Best Researcher Award

Assoc Prof Dr. Orchidea Maria Lecian | Physics and Astronomy | Best Researcher Award

Sapienza University of Rome | Italy

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๐ŸŒฑ Early Academic Pursuits

Assoc. Prof. Dr. Orchidea Maria Lecian began her academic journey at Sapienza University of Rome, where she pursued a Ph.D. in Physics from 2005 to 2009. She specialized in the International Relativistic Astrophysics Program (IRAP), under the Physics Department and the prestigious ICRA (International Center for Relativistic Astrophysics). This foundation laid the groundwork for her later research, emphasizing advanced physics and astrophysics, particularly in relativistic contexts.

๐Ÿ›๏ธ Professional Endeavors

Dr. Lecian is affiliated with renowned institutions such as Sapienza University of Rome, both in the Physics Department and the Department of Clinical and Molecular Medicine. She also contributes significantly at the Comenius University in Bratislava within the Faculty of Mathematics, Physics, and Informatics. Her professional journey highlights her diverse roles in theoretical physics, astrophysics, and applied sciences, as well as her involvement with the DIAEE Department for Astronautics Engineering, Electrical, and Energetics at Sapienza.

๐Ÿ”ฌ Contributions and Research Focus

Dr. Lecian's research spans a wide range of topics:

  • Fundamental studies in General Relativity, Quantum Gravity, and Quantum Cosmology.
  • Exploration of Dark Matter, Black-hole Physics, and Modified Theories of Gravity.
  • Innovations in Applied Instrumentation and Satellite Experimentation for astrophysical studies.
  • Interdisciplinary applications in Mathematics, Engineering, Computer Science, and Applied Chemistry.
    Her work bridges theoretical physics with practical applications, showcasing expertise in differential geometry, operator algebras, and quantum systems while integrating them into experimental and computational frameworks.

๐ŸŒŸ Accolades and Recognition

Her accomplishments in both academia and applied sciences have cemented her as a key contributor in astrophysics and quantum research. Her association with prestigious institutions and participation in high-level collaborations underscore her esteemed reputation in the global scientific community.

๐ŸŒ Impact and Influence

Dr. Lecian's research not only contributes to our understanding of the cosmos but also advances tools and methods essential for practical astrophysical and engineering applications. Her studies on quantum devices, relativistic astrophysics, and early cosmology inspire both theoretical exploration and technological innovation.

๐Ÿ”ฎ Legacy and Future Contributions

With her extensive expertise and groundbreaking research, Dr. Lecian is poised to leave a lasting legacy in physics and astrophysics. She continues to inspire the next generation of scientists while contributing to the development of innovative solutions for cosmic and quantum mysteries. Her work promises to shape the future of scientific inquiry, merging theoretical elegance with technological progress.

 

Publications


๐Ÿ“Generalized Schwarzschild Spacetimes with a Linear Term and a Cosmological Constant

  • Journal: Universe
  • Year: 2024
  • Contributor: Orchidea Maria Lecian

๐Ÿ“The Generalised Reissnerโ€“Nordstrรถm Spacetimes, the Cosmological Constant and the Linear Term

  • Journal: Computation
  • Year: 2023
  • Contributor: Orchidea Maria Lecian

 

Carlo Cafaro | Physics and Astronomy | Best Researcher Award

Assoc. Prof. Dr. Carlo Cafaro | Physics and Astronomy | Best Researcher Award

University at Albany-SUNY | United States

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Early Academic Pursuits ๐ŸŽ“

Dr. Carlo Cafaro's journey in physics began with a strong foundation in theoretical studies. He earned a Master's in Theoretical Physics from the University of Pisa, Italy, where he explored gravitational wave detection. He furthered his education in the United States, completing his Ph.D. in Physics at the University at Albany-SUNY in 2008 with a thesis on "The Information Geometry of Chaos," under the guidance of Prof. Ariel Caticha. This period marked the inception of his fascination with the intersection of geometry and information science.

Professional Endeavors ๐ŸŒ

Dr. Cafaroโ€™s professional career is a testament to his global and interdisciplinary engagement. He served as a postdoctoral researcher at esteemed institutions, including the Max-Planck Institute for the Science of Light in Germany and Clarkson University in the U.S. His tenure as an Assistant Professor of Applied Mathematics at SUNY Polytechnic Institute laid the groundwork for his eventual promotion to an Associate Professor at the University at Albany-SUNY in 2023. His teaching roles have spanned continents, showcasing his dedication to nurturing the next generation of scientists.

Contributions and Research Focus ๐Ÿ”ฌ

A recognized expert in theoretical physics and applied mathematics, Dr. Cafaroโ€™s research delves into classical and quantum information physics, chaos theory, and the application of information geometry to complex systems. He has made significant contributions to understanding causal structures in systems and applying geometric Clifford algebra to electrodynamics and quantum computation. His most-cited work on spacetime algebra underscores his impact on advancing theoretical frameworks. Dr. Cafaro's innovative research has been supported by consistent funding, including grants from the Air Force Research Laboratory and the DOE National Laboratory.

Accolades and Recognition ๐Ÿ†

Dr. Cafaroโ€™s excellence has been acknowledged through numerous awards, such as the CNSE Undergraduate Excellence in Teaching Award, which he received multiple times at SUNY Polytechnic Institute. His research fellowships at the Air Force Research Laboratory over eight consecutive summers highlight his sustained contribution to cutting-edge quantum computing theory and simulation. These accolades underscore his dual impact as a researcher and educator.

Impact and Influence ๐ŸŒŸ

Dr. Cafaro has cultivated an h-index of 22, reflecting his academic influence and the broad applicability of his work. His invited talks at prestigious conferences, such as the 12th Joint European Thermodynamics Conference, further illustrate his thought leadership. His mentorship of students and peers in interdisciplinary projects has expanded the boundaries of classical and quantum information sciences.

Legacy and Future Contributions ๐ŸŒ

As an Associate Professor with a well-established track record, Dr. Cafaro continues to push the boundaries of theoretical physics and applied mathematics. His work on quantum computing and chaos theory holds promise for future advancements in technology and science. Through his teaching, research, and collaborative initiatives, Dr. Cafaro is shaping the intellectual landscape, fostering innovation, and leaving a lasting legacy in the scientific community.

 

Publications


  • ๐Ÿ“œ"From Uncertainty Relations to Quantum Acceleration Limits"
      • Journal: Axioms
      • Authors: Carlo Cafaro, Christian Corda, Newshaw Bahreyni, Abeer Alanazi
      • Year: 2024

  • ๐Ÿ“œ"An Observer-Based View of Euclidean Geometry"
    • Journal: Mathematics
    • Authors: Newshaw Bahreyni, Carlo Cafaro, L. Rossetti
    • Year: 2024

  • ๐Ÿ“œ"Upper Limit on the Acceleration of a Quantum Evolution in Projective Hilbert Space"
    • Journal: International Journal of Geometric Methods in Modern Physics
    • Authors: P. M. Alsing, Carlo Cafaro
    • Year: 2024

  • ๐Ÿ“œ"Constructions of Optimal-Speed Quantum Evolutions: A Comparative Study"
    • Journal: Physica Scripta
    • Authors: L. Rossetti, Carlo Cafaro, Newshaw Bahreyni
    • Year: 2024

  • ๐Ÿ“œ"Universality of the Thermodynamics of a Quantum-Mechanically Radiating Black Hole Departing from Thermality"
    • Journal: Physics Letters B
    • Authors: Christian Corda, Carlo Cafaro
    • Year: 2024

 

Okechukwu Obulezi | Mathematics | Editorial Board Member

Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

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๐ŸŽ“ Early Academic Pursuits

Dr. Okechukwu Obulezi began his academic journey with a focus on statistical sciences, obtaining an ND in Statistics from Abia State Polytechnic in 2006. Driven by his passion, he continued with an HND in Statistics from the same institution, culminating in a strong foundation in quantitative analysis and data interpretation. Pursuing higher learning, he completed a PGD in Statistics at Nnamdi Azikiwe University in 2012, with a thesis on the "Discriminant Analysis of the Nigerian Fixed Assets." His master's thesis focused on "BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis," setting the stage for his current Ph.D. in Statistics, where he explores complex statistical methods for predictive and analytical modeling.

๐Ÿ’ผ Professional Endeavors

Dr. Obuleziโ€™s professional career spans several academic roles, starting as an Instructor at Abia State Polytechnic in 2011, where he advanced to Senior Instructor by 2015. In 2019, he joined Nnamdi Azikiwe University as an Assistant Lecturer in the Statistics Department, quickly progressing to Lecturer II and then Lecturer I by 2023. His responsibilities include teaching specialized courses such as Biostatistics, Statistical Methods, Probability Theory, and Matrix Algebra, where he imparts knowledge to the next generation of statisticians. Beyond teaching, he plays critical roles in advising undergraduates, coordinating seminars and projects, and contributing to departmental committees, such as the Faculty ICT Committee and Faculty Repair and Maintenance Committee.

๐Ÿ”ฌ Contributions and Research Focus

Dr. Obuleziโ€™s research interests lie at the intersection of probability distributions, machine learning, and statistical modeling, with applications in survival analysis, acceptance sampling, and censored data analysis. His contributions to these fields include publications in high-impact journals, focusing on new statistical models for various real-world applications. Some of his significant research includes new distribution models for engineering, biomedical, and environmental data, optimization of GARCH models for financial volatility, and innovative sampling plans for reliability testing. His publications reflect his commitment to advancing the fields of statistics and machine learning by creating robust, practical solutions for complex data challenges.

๐Ÿ† Accolades and Recognition

Dr. Obulezi has earned recognition for his academic and research excellence, serving as a reviewer for several prestigious journals, such as Cogent Engineering, Scientific African, and Alexandria Engineering Journal. His expertise has also led him to contribute as a reviewer for academic book chapters, particularly in mathematical and computer science research. This engagement underscores his prominence as a thought leader in the statistical community and highlights the respect he commands among peers for his critical insights and expertise.

๐ŸŒ Impact and Influence

Dr. Obulezi's work in developing statistical models and distributions has had a significant impact, particularly in the areas of biomedicine, engineering, and environmental science. His innovative methodologies have helped refine statistical tools for better data analysis, contributing to improved outcomes in public health research, environmental risk assessment, and financial risk management. His influence also extends to mentoring students and collaborating with other academics, which enriches the statistical field and inspires the next generation of statisticians.

๐Ÿ”ฎ Legacy and Future Contributions

Looking forward, Dr. Obulezi aims to further his research in advanced statistical modeling, focusing on machine learning applications and data-driven decision-making in complex fields. His commitment to exploring new statistical approaches for big data and predictive analysis places him at the forefront of his field, positioning him to make enduring contributions that will drive innovation in statistical methodologies and applications for years to come.

 

Publications


  • ๐Ÿ“„ Parameter estimation for reduced Type-I Heavy-Tailed Weibull distribution under progressive Type-II censoring scheme
  • Authors: Prakash, A., Maurya, R.K., Alsadat, N., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • ๐Ÿ“„ Sine generalized family of distributions: Properties, estimation, simulations and applications
  • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • ๐Ÿ“„ A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
  • Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • ๐Ÿ“„ A new extension of Burr-Hatke exponential distribution with engineering and biomedical applications
  • Authors: Anyiam, K.E., Alghamdi, F.M., Nwaigwe, C.C., Aljohani, H.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

  • ๐Ÿ“„ Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
  • Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

 

Jamal Salah | Mathematics | Best Researcher Award

Dr. Jamal Salah | Mathematics | Best Researcher Award

A'Sharqiyah University | Oman

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Early Academic Pursuits ๐ŸŽ“

Dr. Jamal Salah completed his Bachelorโ€™s degree in Electrical Engineering at the University of Basrah in 1988. He continued his studies and obtained a Masterโ€™s degree in Electrical Engineering from the University of Science and Technology in 1995. His academic journey culminated with a Ph.D. in Electrical Engineering from the University of Bradford in 2005.

Professional Endeavors ๐Ÿ’ผ

Dr. Salah's professional career began at the Ministry of Higher Education in Iraq, where he played a pivotal role in shaping future generations of engineers. He held the position of Assistant Professor in Electrical Engineering at Al-Nahrain University from 2005 to 2009. In 2010, he joined the University of Malaya as a Senior Lecturer and later progressed to an Associate Professor. He has also held various administrative positions, including the head of the Electrical Engineering Department and Dean of the Faculty of Engineering.

Research Focus and Contributions ๐Ÿ”ฌ

Dr. Salah's research interests are primarily in computer networks, security, and wireless communications. His contributions to the field include:

  • Network Security: Researching vulnerabilities in computer networks and proposing solutions to enhance security measures.
  • Wireless Communications: Investigating the challenges and advancements in wireless communication technologies.
  • Emerging Technologies: Exploring the impact of emerging technologies on the engineering landscape.

His work has led to multiple publications in reputable journals and conference proceedings.

Accolades and Recognition ๐Ÿ†

Dr. Salah has received numerous awards throughout his career, recognizing his contributions to education and research. He has been actively involved in organizing international conferences and workshops, further solidifying his reputation in the academic community.

Impact and Influence ๐ŸŒ

Through his teaching, mentorship, and research, Dr. Salah has influenced many students and young professionals in the field of electrical engineering. His commitment to academic excellence and innovation continues to inspire future generations.

Legacy and Future Contributions ๐Ÿ”ฎ

As a respected academic and researcher, Dr. Salah is poised to make significant contributions to the field of electrical engineering. His ongoing research and involvement in educational initiatives aim to address the challenges posed by rapidly evolving technologies, ensuring that future engineers are well-equipped to navigate the complexities of the modern world.

 

Publications


  • ๐Ÿ“„ On Uniformly Starlike Functions with Respect to Symmetrical Points Involving the Mittag-Leffler Function and the Lambert Series
    Author: Salah, J.
    Journal: Symmetry
    Year: 2024

  • ๐Ÿ“„ Two Inclusive Subfamilies of Bi-Univalent Functions
    Authors: Al-Hawary, T., Amourah, A., Salah, J., Yousef, F.
    Journal: International Journal of Neutrosophic Science
    Year: 2024

  • ๐Ÿ“„ Fibonacci Numbers Related to Some Subclasses of Bi-Univalent Functions
    Authors: Amourah, A., Frasin, B.A., Salah, J., Al-Hawary, T.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024

  • ๐Ÿ“„ Bi-Univalent Functions Using Bell Distribution Associated With Meixner-Pollaczek Polynomials
    Authors: Alsoboh, A., Amourah, A., Salah, J.
    Journal: International Journal of Mathematics and Computer Science
    Year: 2024

  • ๐Ÿ“„Properties of a Linear Operator Involving Lambert Series and Rabotnov Function
    Author: Salah, J.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024

 

Megha Varshney | Mathematics | Best Researcher Award

Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

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Early Academic Pursuits ๐ŸŽ“

Ms. Megha Varshneyโ€™s academic journey began with a strong foundation in mathematics and science. She completed her Bachelor of Science from SM Degree College, Chandausi, District Sambhal, U.P., with a focus on Physics, Chemistry, and Mathematics, achieving a percentage of 74.07%. She further pursued her Master of Science in Pure Mathematics at Banasthali Vidyapith, Tonk, Rajasthan, where she graduated with a CGPA of 8.03. Her intermediate studies, which secured her 1st rank in her district and a Gold Medal, and her high school education, demonstrate her consistent academic excellence from an early age.

Professional Endeavors ๐Ÿ’ผ

Ms. Varshney has been engaged in various roles that highlight her versatility and dedication. As a Research Scholar at Dr. APJ Abdul Kalam Technical University, Lucknow, she has made significant strides in her research, focusing on optimization and nature-inspired metaheuristic algorithms. Her research achievements include publishing articles in SCIE journals, contributing book chapters, and presenting at both national and international conferences. Her role as a Guest Faculty Assistant Professor at SM Degree College allowed her to develop and implement innovative teaching methods, enhancing student engagement and learning outcomes.

Contributions and Research Focus ๐Ÿ”ฌ

Ms. Varshney's research contributions are centered around optimization techniques and metaheuristic algorithms. Notable works include her publications on the hybridization of algorithms, structural engineering problems, and advanced optimization methods. Her research has been showcased in various prestigious journals and conferences, reflecting her commitment to advancing the field of computational mathematics and optimization.

Accolades and Recognition ๐Ÿ…

Her academic excellence has been recognized through several accolades, including a Certificate of Excellence in Academics awarded by the Chief Minister of Uttar Pradesh in 2013 and securing 1st rank in her district's intermediate examination. Additionally, she is a GATE Qualified candidate with a rank of AIR-339 and a score of 544.

Impact and Influence ๐ŸŒŸ

Ms. Varshney's impact extends beyond her research through her innovative teaching methods and curriculum development at SM Degree College. Her contributions to the field of optimization and computational mathematics have influenced both academic circles and practical applications in structural engineering and algorithm development.

Legacy and Future Contributions ๐Ÿ”ฎ

Looking ahead, Ms. Varshney is poised to continue her impactful research and teaching career. Her focus on nature-inspired algorithms and optimization techniques positions her as a leading figure in her field. Her dedication to both research and education ensures that her future contributions will likely advance the boundaries of computational mathematics and inspire future scholars and practitioners.

 

Publications


  • ๐Ÿ“„Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

  • ๐Ÿ“„Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

 

 

Saira Naz | Mathematics | Best Researcher Award

Dr. Saira Naz | Mathematics | Best Researcher Award

Quaid-I-Azam University | Pakistan

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Early Academic Pursuits

Dr. Saira Naz's academic journey began with a strong foundation in science and mathematics. She completed her Matriculation in 2007 from Quaid Science Academy, Rawalpindi, excelling in Math, Physics, Chemistry, and Biology. She continued her studies at Army Public School & College, Qasim Aviation Base, where she completed her F.Sc. in 2009 with a focus on Math, Statistics, and Computer Science. Her undergraduate studies at Punjab University culminated in a B.Sc. in Mathematics and Statistics in 2011. She further pursued her passion for mathematics at Quaid-i-Azam University, Islamabad, earning an M.Sc. in Mathematics in 2014, an M.Phil. in Applied Mathematics in 2018, and a Ph.D. in Mathematics in 2022.

Professional Endeavors

Dr. Saira Naz has accumulated a wealth of teaching experience in various educational institutions. She currently serves as a faculty member at Air University, Islamabad, and as a visiting faculty at Bahria University. Her previous teaching roles include positions at Islamabad College of Management & Commerce and Spring Field Public School and College in Rawalpindi. Additionally, she holds a B.Ed. from Allama Iqbal Open University, Islamabad, which further complements her teaching credentials.

Contributions and Research Focus

Dr. Naz's research focuses on fluid mechanics, nanofluids, and entropy optimization. Her notable projects include studies on the melting and dissipative effects in entropy-induced Darcy-Forchheimer flow, the significance of nonlinear radiation in entropy-generated flow of ternary-hybrid nanofluids, and the effectiveness of Darcy-Forchheimer and nonlinear mixed convection in stratified Maxwell nanomaterial flow. Her research has been published in high-impact journals such as Case Studies in Thermal Engineering, Ain Shams Engineering Journal, and Numerical Heat Transfer, Part A: Applications.

Accolades and Recognition

Dr. Naz has attended several prestigious conferences, including the 7th and 9th International Conferences on Recent Developments in Fluid Mechanics and the Conference on Emerging Issues of Environmental Degradation, Natural Hazards, and Water Security. Her research publications in well-regarded journals with high impact factors are a testament to her contributions and recognition in the field of applied mathematics and fluid mechanics.

Impact and Influence

Dr. Naz has significantly influenced her students and peers through her dedication to teaching and research. Her ability to convey complex mathematical concepts and her active involvement in cutting-edge research have made her a respected figure in the academic community. Her mentoring skills and commitment to academic excellence have inspired many students to pursue careers in mathematics and engineering.

Legacy and Future Contributions

Dr. Saira Naz's ongoing research and teaching endeavors promise a lasting impact on the field of applied mathematics. Her work on fluid mechanics and nanofluids is poised to contribute to advancements in thermal engineering and material science. As she continues to explore new research avenues and mentor future generations, her legacy will be one of innovation, dedication, and academic excellence.

 

Notable Publication

Entropy optimized radiative flow conveying hybrid nanomaterials(MgO-MoS2/C2H6O2) with melting heat characteristics and Cattaneo-Christov theory: OHAM analysis 2024

Significance of nonlinear radiation in entropy generated flow of ternary-hybrid nanofluids with variable thermal conductivity and viscous dissipation 2024 (1)

Melting and dissipative effects about entropy induced Darcy-Forchheimer flow involving ternary-hybrid nanofluids 2024 (3)

Soret and Dufour impacts in entropy optimized MHD flow by third-grade liquid involving variable thermal characteristics 2024

Numerical modeling and analysis of non-Newtonian nanofluid featuring activation energy 2019 (6)

 

 

Manyu Xiao | Mathematics | Best Researcher Award

Assoc Prof Dr. Manyu Xiao | Mathematics | Best Researcher Award

Northwestern Polytechnical University | China

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Early Academic Pursuits

Dr. Manyu Xiao began her academic journey at Three Gorges University in China, where she earned her Bachelor of Science in Mathematics and Applied Mathematics in 2003. She then pursued a Master of Science in Computational Mathematics at Northwestern Polytechnical University (NPU), China, from 2003 to 2006. Her masterโ€™s research focused on fast and parallel algorithms for information processing under the guidance of Quanyi Lu. Subsequently, Dr. Xiao completed her Doctorate in Engineering Science from Universitรฉ de Technologie de Compiรจgne (UTC) in France in 2010, where she specialized in multidisciplinary optimization with model reduction and parallel computing. Her doctoral advisors were Piotr Breitkopf and Rajan Filomeno Colho.

Professional Endeavors

Dr. Xiao has a rich professional background, marked by significant positions and research projects. Since March 2012, she has been an associate professor in the Department of Applied Mathematics at NPU. Prior to this, she was a post-doctoral fellow at UTC, France, from 2010 to 2011, where she worked on constrained POD model reductions. Her career includes various visiting scholar positions, such as at Universitรฉ Libre de Bruxelles, Belgium, the University of Alabama in Huntsville, USA, Queen Mary University of London, University of Oxford, University of Cambridge, and University of Helsinki, Finland.

Contributions and Research Focus

Dr. Xiaoโ€™s research interests are diverse and impactful, focusing on efficient numerical methods, model reduction, parallel computing, mechanical optimization, and surrogate-based topology optimization. She has led and participated in numerous research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Shaanxi Province. Her projects cover areas such as dynamic multi-fidelity reduction for topology optimization, large-scale stress-constrained topology optimization, and the design of lightweight functional graded core structures for thermal protection systems.

Accolades and Recognition

Dr. Xiaoโ€™s contributions have been widely recognized. She received the Best Paper Award at the 6th Australian Conference on Computational Mechanics in 2023, and the third prize for outstanding academic paper by the Shaanxi province in 2022. In 2020, she was honored as an International Rising Star by the International Association for Computational Mechanics. Additionally, she has been recognized multiple times by Northwestern Polytechnical University for her teaching excellence and her role as a thesis supervisor.

Impact and Influence

Dr. Xiaoโ€™s work has significantly influenced the field of applied mathematics and computational mechanics. Her research on large-scale structural topology optimization and model reduction has advanced the capabilities of computational methods in engineering. Her numerous publications in high-impact journals and contributions to books underscore her influence. Furthermore, her teaching reforms and MOOC projects at NPU have enhanced the internationalization and quality of mathematics education.

Legacy and Future Contributions

Dr. Xiaoโ€™s legacy lies in her pioneering research and dedication to education. Her work continues to inspire advancements in computational mathematics and engineering optimization. Future contributions are anticipated from her ongoing and upcoming research projects, including those on the construction of kinetic models for composite materials and large-scale structural design optimization. Her commitment to developing internationalized training modes for mathematical talents ensures that her influence will extend to future generations of scholars and engineers.

 

Notable Publications

๐Ÿ“„ Article: Primalโ€“dual on-the-fly reduced-order modeling for large-scale transient dynamic topology optimization

  • Authors: Xiao, M., Ma, J., Gao, X., Cauvin, L., Villon, P.
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Year: 2024
  • Citations: 0

๐Ÿ“„ Article: Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning

  • Authors: Jin, J., Cauvin, L., Raghavan, B., Dutta, S., Xiao, M.
  • Journal: Computational Materials Science
  • Year: 2024
  • Citations: 0

๐Ÿ“„ Article: Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling

  • Authors: Xiao, M., Ma, J., Lu, D., Raghavan, B., Zhang, W.
  • Journal: Advanced Modeling and Simulation in Engineering Sciences
  • Year: 2022
  • Citations: 1

๐Ÿ“„ Article: A Gaussian process regression-based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin-walled structures

  • Authors: Yang, Y., Yang, Y., Xiao, M., Wan, M., Zhang, W.
  • Journal: International Journal of Mechanical System Dynamics
  • Year: 2022
  • Citations: 7

๐Ÿ“„ Article: Accelerating Large-scale Topology Optimization: State-of-the-Art and Challenges

  • Authors: Mukherjee, S., Lu, D., Raghavan, B., Xiao, M., Zhang, W.
  • Journal: Archives of Computational Methods in Engineering
  • Year: 2021
  • Citations: 54

Pooja Rani | Mathematics | Best Researcher Award

Dr. Pooja Rani | Mathematics | Best Researcher Award

GMSSSS, Ratia | India

Author profile

Scopus

Early Academic Pursuits

Dr. Pooja Rani's academic journey began with a strong foundation in mathematics, culminating in a Ph.D. in Mathematics with a focus on "Mathematical Modeling of an Elastic and Thermoelastic Medium Due to Various Seismic Sources". Her educational qualifications include an M.Sc. in Mathematics, a B.Ed., and qualification for the NET JRF examination. Notably, she was awarded the Roll of Honor for achieving a high position in her graduation.

Professional Endeavors

With five years of teaching experience, Dr. Pooja Rani has established herself as a dedicated educator and researcher. Her professional endeavors have led her to delve into the intricate dynamics of thermoelastic materials, focusing on various theories of thermoelasticity.

Contributions and Research Focus

Dr. Pooja Rani's research revolves around the elastic and thermoelastic properties of materials, aiming to analyze dynamic problems within this domain. Her work encompasses the study of thermoelastic behavior in diverse geometries such as cylinders, disks, spheres, circular plates, and circular tubes. Through her research, she seeks to contribute to a deeper understanding of thermoelastic phenomena and their practical implications.

Accolades and Recognition

Dr. Pooja Rani's dedication and contributions to the field of mathematics have earned her recognition, including the prestigious Roll of Honor for her outstanding performance during her graduation. Additionally, her qualification for the NET JRF examination highlights her academic prowess and potential in research.

Impact and Influence

The research conducted by Dr. Pooja Rani holds significant potential for impact in both academic and practical spheres. By delving into the complex dynamics of thermoelastic materials, her work contributes to advancements in understanding material behavior under various conditions. This understanding has implications for fields such as structural engineering, seismology, and materials science.

Legacy and Future Contributions

Dr. Pooja Rani's legacy is marked by her dedication to advancing the understanding of thermoelasticity through mathematical modeling. Her research not only sheds light on fundamental principles but also lays the groundwork for practical applications in engineering and geophysics. As she continues her academic journey, her innovative contributions are poised to shape the future of research in thermoelastic materials, leaving a lasting impact on the scientific community.

Notable Publications

Thermoelastic stress analysis of a functionally graded annular rotating disc with radially varying properties 2024

Wave analysis in porous thermoelastic plate with microtemperature 2023

One Dimensional Steady Thermal Stresses in a Rotating Thick-walled Sphere made of Functionally Graded Material 2022

Pankaj Kumar | Mathematics | Best Researcher Award

Assist Prof Dr. Pankaj Kumar | Mathematics | Best Researcher Award

National Institute Technology Hamirpur | India

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Pankaj Kumar's academic journey began with a Bachelor of Science in Mathematics Honours from Ranchi University, followed by a M.Tech., in Operations Research from the National Institute of Technology, Durgapur. He pursued his Ph.D. in Optimization Methods in Finance at the prestigious Indian Institute of Technology Kharagpur, specializing in interval optimization methods for portfolio selection problems.

Professional Endeavors

Dr. Kumar has held various research and teaching positions, including Research Assistant Professor at the Department of Mathematics, SRM Institute of Science and Technology, and Visiting Faculty at the Institute of Financial Management and Research. He has also served as a Visiting Research Scholar and held Senior and Junior Research Fellowships at the Indian Institute of Technology Kharagpur.

Contributions and Research Focus

His research interests lie in operations research, optimization methods in finance, interval optimization, machine learning, and crop area planning. Dr. Kumar has contributed significantly to the field through his publications in esteemed journals and conferences, focusing on topics such as multi-objective portfolio selection, mean-value-at-risk portfolio optimization, and stochastic programming techniques.

Accolades and Recognition

Dr. Kumar has received several honors and awards, including travel grants from the Department of Science and Technology (DST) and recognition for his paper presentations. He has been awarded prestigious fellowships for his research work, including visiting, senior, and junior research fellowships at Indian universities.

Impact and Influence

His research has made a notable impact on the field of optimization and finance, providing valuable insights into portfolio selection, risk management, and decision-making processes. Dr. Kumar's work has been recognized through his appointment as an Editorial Board Member of Applied and Computational Mathematics (ACM) and teaching awards for his contributions to mathematics education.

Legacy and Future Contributions

Dr. Kumar's legacy lies in his dedication to advancing knowledge in operations research and finance through rigorous academic inquiry and innovative problem-solving approaches. His future contributions are poised to further enrich the field, addressing emerging challenges and pushing the boundaries of optimization theory and applications.

Notable Publications

Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization 2024

Parametric approach for multi-objective enhanced interval linear fractional programming problem 2023

Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets 2023 (20)

Solving mean-VaR portfolio selection model with interval-typed random parameter using interval analysis 2021 (3)

Multi-objective enhanced interval optimization problem 2020 (7)