Hossein Abdollahzadeh Ahangar | Mathematics | Best Researcher Award

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Hossein Abdollahzadeh Ahangar | Mathematics | Best Researcher Award

Babol Noshirvani University of Technology | Iran

Professor H. Abdollahzadeh Ahangar is a highly accomplished academic and researcher in the Department of Mathematics at Babol Noshirvani University of Technology, Babol, Iran. With a prolific career marked by scholarly excellence, he has made significant contributions to the fields of applied mathematics, computational modeling, and numerical analysis. His research is widely recognized for advancing mathematical methods that underpin engineering, physics, and technology-driven innovations. Professor Ahangar’s extensive publication record, comprising over 70 peer-reviewed papers and more than 900 citations, reflects the depth and influence of his scientific work. He has developed and applied mathematical frameworks that address complex real-world problems, bridging theoretical mathematics with practical engineering applications. His interdisciplinary collaborations with scientists and engineers have strengthened the integration of mathematical sciences into modern technological research, contributing to the development of efficient computational models and analytical tools. With an h-index of 16, Professor Ahangar has consistently demonstrated research impact, innovation, and scholarly leadership. Beyond his research achievements, he plays a vital role in academia as an educator and mentor, fostering analytical thinking and problem-solving skills among students and early-career researchers. His active involvement in academic societies, editorial responsibilities, and conference participation highlights his dedication to advancing mathematical sciences globally. Through his commitment to research excellence, collaboration, and academic mentorship, Professor Ahangar continues to influence the progression of applied mathematics and its vital role in technological and scientific advancement.

Profile: Scoups | Orcid | Google Scholar

Featured Publications

  • Zhao, Y., Shan, E., & Abdollahzadeh Ahangar, H. (2013). Signed total domination on Kronecker products of two complete graphs. Australasian Journal of Combinatorics, 56, 95–102.

  • Mojdeh, D. A., Abdollahzadeh Ahangar, H., Haji, A. A., Khodkar, A., & Ggraphs. (2007). K1∗4,5K_{1∗4,5}, K1∗5,4K_{1∗5,4}, K1∗4,4K_{1∗4,4}, K2,3,4K_{2,3,4} have the property M(3). Ars Combinatoria, 84, 171–190.

  • Mojdeh, D. A., Abdollahzadeh Ahangar, H., Haji, A. A., & Khodkar, A. (2006). The graph K2,2,rK_{2,2,r} has the property M(3) for 4≤r≤84 ≤ r ≤ 8. Bulletin of the Institute of Combinatorics and Its Applications, 47, 63–70.

  • Tahmasbzadehbaee, Z., Soner, N. D., Abdollahzadeh Ahangar, H., Mojdeh, D. A., & Zhao, Y. (2013). Total restrained domination number of diameter 2 or 3. Mathematica Sciences. Published online.

  • Mojdeh, D. A., Abdollahzadeh Ahangar, H., Choopani, F., & Zeinali, F. (2014). Star chromatic and defining number of graphs. International Journal of Mathematics and Combinatorics, 1, 93–101.

  • Abdollahzadeh Ahangar, H., Henning, M. A., Löwenstein, C., Zhao, Y., & Samodivkin, V. (2014). Signed Roman domination in graphs. Journal of Combinatorial Optimization, 27(2), 241–255.

  • Abdollahzadeh Ahangar, H., Samodivkin, V., Sheikholeslami, S. M., & Khodkar, A. (2015). The restrained geodetic number of a graph. Bulletin of the Malaysian Mathematical Sciences Society, 38(3), 1143–1155.*

Luisa Morales Maure | Mathematics | Innovative Research Award

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Luisa Morales Maure | Mathematics | Innovative Research Award

Universidad de Panama|Panama

Dr. Luisa Mabel Morales Maure is a renowned Panamanian mathematics educator and researcher with a strong international footprint in educational innovation, curriculum development, and pedagogical strategies. Holding a Ph.D. in Didactics of Mathematics and Experimental Sciences from the Universitat de Barcelona (Cum Laude), she has led national and international initiatives to improve mathematics education, teacher training, and policy impact. Currently a key member of Panama’s National Research System (SNI) and Director of Admissions at APANAC, she has collaborated extensively with academic and scientific bodies across Europe and Latin America. She is also the founder and coordinator of GIEM-21, a mathematics education research group. A frequent speaker and published scholar, her work bridges scientific research with societal challenges in education. Her dedication was recognized in 2024 with the honorary title Cavaliere dell’Ordine della Stella d’Italia, conferred by the President of Italy. She exemplifies the fusion of academic excellence and social commitment.

Publication Profile

Google scholar

Education

Dr. Morales Maure has a robust academic background in mathematics and pedagogy. She earned her Ph.D. in Didactics of Mathematics and Experimental Sciences from Universitat de Barcelona, receiving Cum Laude honors. Prior to that, she obtained a Master of Science in Mathematics and its Didactics from Universidad Autónoma del Estado de Hidalgo, Mexico.  she completed postgraduate studies in Higher Education Teaching at the Universidad de Panamá, and holds a Bachelor’s degree in Mathematics from the same institution. Her international academic scope expanded with the completion of the International Diploma in Women and Leadership from IESE Business School in Barcelona, Spain. This diverse and interdisciplinary training has empowered her to lead cross-national research collaborations and develop effective, inclusive educational methodologies that improve teaching practices and student outcomes across multiple educational levels in Latin America and beyond.

Experience

Dr. Morales Maure brings over two decades of academic and professional experience in mathematics education, research, and teacher training. she has been a recognized researcher within Panama’s National Research System (SNI), leading several funded educational innovation projects. She currently serves as Director of Admissions for the Panamanian Association for the Advancement of Science (APANAC) and previously presided over its XIX National Science and Technology Congress. She founded and coordinates the GIEM-21 research group at Universidad de Panamá. Dr. Morales has participated in prestigious international exchanges in Italy and worked on collaborative research in Chile and Spain. Her academic roles include lecturer across diverse faculties including Economics, Medicine, Informatics, and Education. She is also a recognized trainer and speaker, conducting teacher development programs and seminars on mathematical thinking, digital pedagogy, and didactic suitability. Her experience reflects a deep commitment to evidence-based reforms and sustainable education policy advancements.

Honors and Awards

Dr. Luisa Mabel Morales Maure has received multiple awards in recognition of her significant contributions to mathematics education. Most notably. she was conferred the prestigious title Cavaliere dell’Ordine della Stella d’Italia by the President of the Italian Republic, honoring her international impact on education. she earned Panama’s New Researchers Award from SENACYT, acknowledging her early promise in educational research. Her projects funded by institutions such as SENACYT, ANID Chile, and the Ministry of Education of Spain have consistently been recognized for innovation and policy impact. She has also been selected multiple times for Panama’s National Research System (SNI), reaching Level I for consecutive terms. Her leadership roles in APANAC and organization of national science congresses further solidify her standing in the scientific community. Through her academic excellence and dedication, she has become a driving force for educational reform in Latin America.

Research Focus

Dr. Morales Maure’s research focuses on mathematics education, didactical analysis, and teacher training methodologies. She specializes in the use of mathematical modeling, lesson study, and didactic suitability frameworks to improve teaching practices and student learning outcomes. Her work integrates data analysis, program evaluation, and curriculum innovation, aiming to align pedagogy with equity, inclusion, and sustainable development goals. She has contributed extensively to the design and evaluation of diploma programs, teacher reflection tools, and hybrid learning methodologies in Latin America. Her research also involves bibliometric studies on technological integration in education and meta-analyses of quality indicators in mathematics teaching. Actively collaborating with international researchers from Spain, Chile, and Brazil, Dr. Morales Maure’s studies are widely published in indexed journals and policy-related platforms. Her mission is to bridge theory with practice to shape inclusive, culturally responsive, and future-ready mathematics education systems.

Publications

Fortalecimiento del conocimiento didáctico matemático en maestros de primaria en Panamá – Formación Universitaria.
Evaluating didactic strategies for teaching mathematics: A Policy-Driven approach to gender equity in Panama’s education system – Journal of Infrastructure, Policy and Development.
School dropout, lag and repetition: strategies for inclusive and sustainable education in the framework of public policies – Edelweiss Applied Science and Technology.
Tendencias en la Investigación sobre Conocimiento Didáctico y Tecnología en la Educación Matemática: Un Estudio Bibliométrico – REDIMAT.
XIX Congreso de la Asociación Panameña para el Avance de la Ciencia (APANAC): Panamá Hub de las Ciencias – HALAC.

Christos Kountzakis | Mathematics | Best Research Article Award

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Christos Kountzakis | Mathematics | Best Research Article Award

Dr Christos Kountzakis, University of the Aegean, Greece

Dr. Christos E. Kountzakis is an accomplished Assistant Professor of Mathematical Economics at the University of the Aegean, Greece. Born on July 9, 1977, in Amaroussion Attikis, he specializes in advanced topics at the intersection of mathematics, economics, and risk theory. With an academic journey deeply rooted in applied and theoretical mathematics, Dr. Kountzakis has contributed significantly to areas like coherent risk measures and economic modeling. He has worked with prestigious institutions such as the University of Vienna and Cyprus University of Technology, enhancing his research portfolio across borders. Known for his academic rigor and analytical mindset, Dr. Kountzakis has published extensively in high-impact journals, addressing topics like Pareto efficiency, risk management in Banach spaces, and actuarial solvency. His contributions not only reflect his deep understanding of abstract mathematics but also its real-world implications in economics and finance.

Publication Profile

google scholar

Education

Dr. Christos Kountzakis holds a Ph.D. in Mathematics from the National Technical University of Athens, completed in September 2006. His doctoral dissertation titled “Applications of the Partially Ordered Linear Spaces in Mathematical Economics” was supervised by Professor I.A. Polyrakis. Prior to his doctorate, he earned a Master of Science (M.Sc.) in Applied Mathematics from the same institution in July 2001, with an impressive grade of 9.46/10. He began his academic journey with a Bachelor of Science (B.Sc.) in Mathematics from the National and Kapodistrian University of Athens in September 1999, graduating with a solid grade of 7.73/10. His academic background reflects a consistent focus on mathematical theory, optimization, and economic applications, forming the foundation for his later research in risk management, actuarial science, and financial mathematics. These qualifications have underpinned his professional trajectory and research contributions to mathematical economics.

Experience

Dr. Kountzakis began his academic career as an Adjunct Lecturer in Financial Mathematics at the University of the Aegean (2007–2010), progressing to a Lecturer and later Assistant Professor in Mathematical Economics by 2015. He currently serves as a tenured-track Assistant Professor at the same department. His international experience includes serving as a Research Assistant at the University of Vienna in 2014, under the mentorship of Prof. Walter Schachermayer. He also collaborated with the Cyprus University of Technology on projects related to smart specialization and social networks (2012–2014). His experience spans teaching, applied research, and academic publishing in finance and mathematical modeling. His strong presence in academic roles is complemented by his engagement in interdisciplinary research, making significant contributions to economic theory, financial derivatives, and risk analysis.

Awards and Honors

While specific named awards are not explicitly listed, Dr. Christos Kountzakis has achieved notable academic honors through his appointments and collaborative research roles. His selection for a competitive research assistantship at the University of Vienna in 2014, under the guidance of the internationally recognized mathematician Prof. Walter Schachermayer, reflects his academic distinction. Additionally, his collaborations with the Cyprus University of Technology on nationally relevant projects such as “Smart Specialization in Cyprus” underscore the applied value and recognition of his expertise. His consistent publication record in top-tier journals such as Mathematical Finance, Journal of Mathematical Economics, and Journal of Mathematical Analysis and Applications further affirms his reputation in the academic community. These achievements highlight his dedication to advancing mathematical economics and reflect a career marked by research excellence and institutional trust.

Research Focus

Dr. Christos E. Kountzakis’s research lies at the intersection of mathematical economics, risk theory, and functional analysis. His work explores advanced areas such as coherent and convex risk measures, Pareto efficiency, arbitrage pricing, and the geometry of Banach and ordered vector spaces. With strong foundations in areas classified by the AMS such as 46Axx (topological vector spaces), 60Gxx (stochastic processes), and 91Bxx (economic theory), he applies rigorous mathematical tools to solve complex problems in finance and insurance. His research interests include optimization in infinite-dimensional spaces, deviation measures, actuarial solvency, and market completeness. He is also engaged in exploring no-arbitrage pricing in incomplete markets and the application of ordered structures in normed spaces. His work is both theoretical and applied, providing insights that are valuable to mathematical theorists and financial practitioners alike.

Publication Top Notes

  1. 📘 Geometry of cones and an application in the theory of Pareto efficient points

  2. 📘 The completion of security markets

  3. 📘 Super-lattice partial order relations in normed linear spaces

  4. 📘 Generalized Coherent Risk measures

  5. 📘 No-arbitrage pricing of non-marketed claims in multiperiod markets

  6. 📘 Non-replication of options

  7. 📘 Risk measures on ordered non-reflexive Banach spaces

  8. 📘 Risk measures in ordered normed linear spaces with non-empty cone interior

  9. 📘 The completion of real-asset markets by options

  10. 📘 On efficient portfolio selection using convex risk measures

  11. 📘 The restricted convex risk measures in actuarial solvency

  12. 📘 An aspect of restricted coherent risk measures and actuarial solvency

  13. 📘 Coherent Risk Measures in General Economic Models and Price Bubbles

  14. 📘 Notes on the solution of the risk minimization problem under constant investor’s endowment

  15. 📘 Deviation measures on Banach spaces and applications

  16. 📘 Questions on the geometry of finite coherence

Atta Ullah | Mathematics | Best Researcher Award

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Atta Ullah | Mathematics | Best Researcher Award

Atta Ullah,Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malays,,Malaysia

Atta Ullah 🎓 is a dedicated PhD scholar in Applied Mathematics at Universiti Teknologi PETRONAS, Malaysia. Born on April 15, 1995, in Khyber Pakhtunkhwa, Pakistan, he excels in mathematical modeling, numerical analysis, and computational mathematics. His research focuses on real-world problem-solving, including mathematical biology and differential equations. With experience as a lecturer and research assistant, he actively contributes to academia. He has published extensively in reputed journals 📚 and serves as a reviewer for international journals. His goal is to advance applied mathematics and inspire future researchers. 🌟

Publication profile

scopus

Education

Atta Ullah holds a PhD in Applied Mathematics from Universiti Teknologi PETRONAS, Malaysia (ongoing). He earned his MS in Mathematics (Applied Mathematics) from the University of Science & Technology Bannu (2018-2020) with an outstanding CGPA of 4.0/4.0 (91.75%). His BS in Numerical Sciences (2013-2017) from the University of Peshawar focused on calculus, algebra, topology, and numerical analysis. He completed his F.Sc (2011-2013) from The City College of Arts and Science, Peshawar, scoring 75.09%, and S.S.C (2009-2011) from Govt. High School Matta Qilla, scoring 75.02%. Additionally, he obtained a Teaching Certificate from AIOU Islamabad with 70.2% marks (2016-2017). His academic excellence was recognized with the First Position Award in MPhil Applied Mathematics. 🏆

Experience

Atta Ullah has significant experience in research and teaching. Currently, he is a Research & Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia, where he assists master’s students, teaches undergraduate mathematics, and conducts high-level research 📊. Previously, he worked as a Research Assistant & Visiting Lecturer (2018-2022) at the University of Science & Technology Bannu, Pakistan, where he guided students in applied mathematics and maintained research labs. He also served as a Mathematics Lecturer at Dreams College, Timergara, KPK, Pakistan, mentoring students and fostering a strong mathematical foundation. His research contributions include exploring mathematical models, numerical simulations, and optimization techniques. He is also a reviewer for esteemed journals. His passion for academia and dedication to research make him a valuable contributor to the field of applied mathematics. 🔬

Awards And Honors

 

Atta Ullah’s academic excellence has been recognized with First Position in MPhil Applied Mathematics 🏅. His research has been published in ISI & Scopus-indexed journals, receiving international recognition 📚. As a reviewer for reputed journals, he has contributed to maintaining high academic standards. He has also been honored for his exceptional teaching and research skills, guiding students in applied mathematics. His outstanding CGPA (4.0/4.0) in MS Mathematics reflects his dedication to academia. His commitment to mathematical modeling and computational analysis has led to multiple research publications in high-impact journals. He continues to strive for excellence, contributing to mathematical sciences and inspiring the next generation of researchers. 🌍

Research Focus

Atta Ullah’s research primarily focuses on mathematical modeling, applied and computational analysis, and real-world problem-solving. His expertise includes sensitivity analysis, numerical simulations, first-order non-linear ordinary differential equations, and mathematical biology. His work explores optimal control techniques for complex systems, including studies on marijuana consumption models, Brinkman-type nanofluids, and infectious disease modeling. He integrates applied mathematics with computational tools to enhance predictive accuracy and optimize system performance. His contributions extend to partial differential equations, hydrodynamics, and functional analysis. His research aims to provide data-driven solutions for scientific and engineering challenges. 🧮

 

Publications

📖 “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking,” AIMS Bioengineering, Cited by: XX, Year: 2023.
📖 “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance,” JARASET, Cited by: XX, Year: 2023.
📖 “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption,” PDEAM, Cited by: XX, Year: 2024.
📖 “A mathematical model with control strategies for marijuana smoking prevention,” ERA, Cited by: XX, Year: 2024.
📖 “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis,” JARASET, Cited by: XX, Year: 2024.
📖 “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique,” Contemporary Mathematics, Cited by: XX, Year: 2024.
📖 “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer,” CIJCA, Cited by: XX, Year: 2022.
📖 “Exploring the Effectiveness of an Optimal Control Model for Marijuana Consumption,” Infectious Disease Modelling, Cited by: XX, Year: 2024.

Mfano Charles | Mathematics | Most Reader’s Article Award

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Mfano Charles | Mathematics | Most Reader’s Article Award

Ms Mfano Charles ,The Nelson Mandela African Instution of,Tanzania

Thadei D.S. Linus is a PhD candidate in Mathematics and Computational Science at The Nelson Mandela African Institution of Science and Technology (2022–present). He holds an MSc in Mathematical and Computer Science (2019) and a BSc in Mathematics & Physics Education (2012). His research focuses on Mathematical Epidemiology, Population Dynamics, Machine Learning, and Optimal Control. Skilled in Python, MATLAB, and Mathematica, he specializes in modeling and analyzing complex systems. His work includes prey-predator modeling and data-driven decision-making. 📊🔬 His 2018 publication explores harvested prey-predator systems with prey refuge. 📖

Publication Profile

Google scholar

Education

[Name] is a dedicated researcher pursuing a PhD in Mathematics and Computational Science & Engineering (2022–present) at The Nelson Mandela African Institution of Science and Technology 🏛️. He holds a Master’s degree (2017–2019) in Mathematical and Computer Science & Engineering, specializing in Applied Mathematics and Computational edSciences 🎓. His academic journey began with a B.Sc. in Mathematics & Physics Education (2009–2012) at Mwenge University College of Education. Earlier, he earned his Advanced Certificate of Secondary Education (2006–2008) at Tarime Secondary School and his Certificate of Secondary Education (2002–2005) at Busolwa Secondary School. 📖✨

Career Objectives

Physics and mathematics play a crucial role in solving diverse physical problems across various fields, including Biology 🧬, Education 📚, Environment 🌍, Health 🏥, Population 📊, Science, and Technology 💡. Advanced computational techniques enable the design, construction, and analysis of models using large datasets 📈 with powerful software tools like PYTHON 🐍, MATLAB ⚙️, and MATHEMATICA 🔢. Effective data mining and analysis help extract meaningful insights, allowing professionals to make informed decisions. Presenting findings through reporting tools ensures clarity and strategic application, contributing to research, innovation, and efficient problem-solving across multiple disciplines.

Research and Publications

Mfano Charles 📖, along with Thadei D.S. and Linus, published a significant research paper in 2018 titled “Modelling and Numerical Simulation of Harvested Prey–Predator System Incorporating a Prey Refuge” 🦌🐅. This study appeared in the Journal of Mathematical Theory and Modelling (Vol. 8, No. 8, pp. 148-160) 📚, offering valuable insights into ecological dynamics. Additionally, his Master’s thesis focused on “Modelling Optimal Control of Harvested Prey–Predator System Incorporating a Prey Refuge” 🎯📊. His work contributes to mathematical modeling, providing solutions for sustainable resource management and ecological balance 🌿⚖️

Experience

Since 2019, Mfano Charles has been serving as an Assistant Lecturer at the College of Business Education (CBE) 🎓, where he delivers lectures, seminars, and tutorials 📖, evaluates examinations 📝, supervises student projects 📊, and contributes to research and public service. From 2012 to 2014, he worked as a Teaching Assistant at Wama-Nakayama Girls Secondary School and Agape Lutheran Junior Seminary 🏫, teaching Advanced Mathematics and Physics 🧮⚛️. His responsibilities included grading assessments ✅, conducting extra tutorials 📚, and mentoring student clubs 🎯. His dedication to education and research continues to impact students and academia positively.

Awards

Mfano Charles has received several prestigious awards in recognition of his academic excellence and contributions 🎖️. In 2022, he was honored with a Scholarship Award from the College of Business Education (CBE) 🎓. In 2017, he secured a scholarship from the African Development Bank (AfDB) 🌍🏦 to pursue an MSc. in Applied Mathematics and Computational Science 🧮💻. His journey of excellence began in 2005, when he was named the Best Student in Mathematics at Busolwa Secondary School 🏅📚. These achievements highlight his dedication to mathematics, research, and continuous learning 📖🚀

Presentations

Mfano Charles has continually enhanced his expertise through specialized training and workshops 📚🎓. In 2018, he completed a course on Variation of Calculus at the University of Dar es Salaam (UDSM) 🧮📖, strengthening his mathematical modeling and analytical skills. In 2022, he participated in the Working Life Interaction in Modelling and Data Skills (WOLIMODS) program 📊💻, a collaborative initiative involving NM-AIST, UDSM, the University of Rwanda, and Finnish universities 🌍🏫. This program enriched his knowledge in data science, modeling, and real-world problem-solving, equipping him with cutting-edge skills for research and academia.

Research Focus

Mfano Charles specializes in mathematical modeling and numerical simulations 🧮💻, focusing on prey-predator dynamics in ecological systems 🌿🐺. His research explores how harvesting and prey refuge impact population sustainability 📉📈. Through mathematical theories and simulations, he aims to develop optimal control strategies to balance species conservation and resource use ⚖️🌍. His Master’s thesis delves into optimizing harvested prey-predator models, incorporating a prey refuge to ensure ecosystem stability 🏞️🔬. His expertise contributes to applied mathematics, ecology, and sustainable resource management, making his research crucial for biodiversity conservation and ecological forecasting .

Publication top notes

Mathematics teaching and learning activity model for blended instructions in Tanzanian higher education

Parameters estimation and uncertainty assessment in the transmission dynamics of rabies in humans and dogs

Mathematical model to assess the impact of contact rate and environment factor on transmission dynamics of rabies in humans and dogs

The Effect of Maximum Residue Levels (MRLs) on Fresh Agricultural Exports in Tanzania: Evidence from Horticultural Exports in Arusha

Modelling optimal control of harvested prey predator system incorporating a prey refuge

Chiara Amorino | Mathematics | Young Scientist Award

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Assist. Prof. Dr. Chiara Amorino | Mathematics | Young Scientist Award

Assist. Prof. Dr. Chiara Amorino, Universitat Pompeu Fabra, Spain

Assist. Prof. Dr. Chiara Amorino is an Assistant Professor at Universitat Pompeu Fabra in Barcelona, a position she has held since April 2024. She previously served as a postdoctoral researcher at the University of Luxembourg in Prof. Mark Podolskij’s group. Dr. Amorino earned her PhD in July 2020 under the supervision of Prof. Arnaud Gloter at LaMME, Université Paris-Saclay. Her research focuses on statistical inference for stochastic differential equations, exploring topics such as thresholding methods, high-frequency data, Malliavin calculus, and volatility estimation. She is also passionate about McKean-Vlasov equations, Hawkes processes, and local differential privacy.

Education

PhD in Applied Mathematics

Institution: Université Paris-Saclay, France (LaMME)

Duration: October 2017 – August 2020

Thesis Title: “Bias correction for the drift and volatility estimation of a jump diffusion and nonparametric adaptive estimation of the invariant measure”

Supervisor: Prof. Arnaud Gloter

Jury Members: Alexandre Brouste (Rapporteur), Fabienne Comte, Arnaud Gloter, Agathe Guilloux, Eulalia Nualart (Rapporteur), Fabien Panloup, Mathieu Rosenbaum

Master’s Degree in Mathematics

Institution: Università Statale di Milano, Italy

Duration: 2015 – 2017

Dissertation Title: “Randomization method and backward differential stochastic equations for optimal control”

Supervisor: Prof. Marco Fuhrman

Grade: Magna cum laude (“110/110 e lode”, First-Class Honours)

Visiting Student

Institution: Université Paris VII Diderot, France

Program: Master M2MO: Modélisation Aléatoire

Duration: September 2016 – January 2017

Bachelor’s Degree in Mathematics

Institution: Università Statale di Milano, Italy

Duration: 2012 – 2015

Professional Profiles

Google Scholar

ORCID Profile

Professional Experience

Assistant Professor
Universitat Pompeu Fabra, Barcelona, Spain
April 2024 – Present

Currently engaged in teaching, research, and academic supervision at Universitat Pompeu Fabra.

Focused on advanced topics in [insert specific subject area, e.g., mathematics, statistics, etc.].

Contributing to departmental initiatives and collaborations.

Postdoctoral Researcher
University of Luxembourg
August 2020 – March 2024

Collaborated with Prof. Mark Podolskij’s group on [insert specific research focus, e.g., stochastic processes, probability theory, etc.].

Published in high-impact journals and presented findings at international conferences.

Contributed to the development of new methodologies and computational tools in the field.

PhD Researcher
Université Paris-Saclay (LaMME Laboratory), France
September 2016 – July 2020

Conducted doctoral research under the supervision of Prof. Arnaud Gloter.

Focused on [insert specific research area, e.g., stochastic analysis, mathematical modeling, etc.].

Defended a thesis titled “[insert thesis title],” which contributed novel insights to the field.

Collaborated with interdisciplinary teams and participated in academic teaching duties.

Research Interests

Jump Diffusion Processes: Analysis and applications of stochastic processes incorporating jumps, relevant in finance and other applied fields.

High Dimensional Statistics: Developing methodologies and theoretical insights for analyzing data with a large number of variables.

Volatility Estimation: Techniques for measuring and predicting volatility in financial and stochastic systems.

Limit Theorems: Study of asymptotic behaviors and distributional approximations in probability theory.

Malliavin Calculus: Applying stochastic calculus for variations in fields like quantitative finance and stochastic analysis.

Nonparametric Statistics: Developing flexible statistical methods without assuming strict parametric models.

Stein’s Method: A probabilistic technique for assessing distributional approximations.

McKean-Vlasov SDEs: Investigations into stochastic differential equations with mean-field interactions.

Local Differential Privacy: Researching privacy-preserving mechanisms in statistical analysis and data sharing.

Minimax Risk and Convergence Rates: Studying optimality and efficiency in statistical decision-making processes.

Fractional Brownian Motion: Exploring processes with long-range dependence and their applications.

Thresholding Methods: Statistical techniques for signal processing and data analysis.

Bayesian Statistics: Combining prior information with data for statistical inference and decision-making.

Technical Skills

LaTeX

Python

R

SAS

Matlab,

C

Top Notable Publications

Contrast Function Estimation for the Drift Parameter of Ergodic Jump Diffusion Processes

Authors: C. Amorino, A. Gloter

Journal: Scandinavian Journal of Statistics

Year: 2020

Citations: 26

This paper addresses drift parameter estimation using contrast functions, offering insights into jump diffusion processes.

Parameter Estimation of Discretely Observed Interacting Particle Systems

Authors: C. Amorino, A. Heidari, V. Pilipauskaitė, M. Podolskij

Journal: Stochastic Processes and their Applications

Year: 2023

Citations: 22

A collaborative effort exploring parameter estimation in interacting particle systems observed at discrete intervals.

Unbiased Truncated Quadratic Variation for Volatility Estimation in Jump Diffusion Processes

Authors: C. Amorino, A. Gloter

Journal: Stochastic Processes and their Applications

Year: 2020

Citations: 20

Proposes a novel technique for volatility estimation using truncated quadratic variation.

Invariant Density Adaptive Estimation for Ergodic Jump–Diffusion Processes Over Anisotropic Classes

Authors: C. Amorino, A. Gloter

Journal: Journal of Statistical Planning and Inference

Year: 2021

Citations: 17

Focuses on invariant density estimation and its adaptive approach in anisotropic frameworks.

Optimal Convergence Rates for the Invariant Density Estimation of Jump-Diffusion Processes

Authors: C. Amorino, E. Nualart

Journal: arXiv preprint

Year: 2021

Citations: 9

Examines convergence rates for invariant density estimation in jump-diffusion contexts.

Rate of Estimation for the Stationary Distribution of Jump-Processes Over Anisotropic Hölder Classes

Author: C. Amorino

Journal: arXiv preprint

Year: 2020

Citations: 8

Discusses estimation rates for stationary distributions under specific anisotropic conditions.

Minimax Rate of Estimation for Invariant Densities Associated to Continuous Stochastic Differential Equations Over Anisotropic Hölder Classes

Authors: C. Amorino, A. Gloter

Journal: Scandinavian Journal of Statistics

Year: 2024

Citations: 7

A forthcoming study delving into minimax rates for invariant density estimations in stochastic differential equations.

On the Nonparametric Inference of Coefficients of Self-Exciting Jump-Diffusion

Authors: C. Amorino, C. Dion-Blanc, A. Gloter, S. Lemler

Journal: Electronic Journal of Statistics

Year: 2022

Citations: 6

Investigates nonparametric inference for coefficients in self-exciting jump-diffusion models.

Joint Estimation for Volatility and Drift Parameters of Ergodic Jump Diffusion Processes via Contrast Function

Authors: C. Amorino, A. Gloter

Journal: Statistical Inference for Stochastic Processes

Year: 2021

Citations: 6

Proposes methods for simultaneous estimation of volatility and drift parameters.

Estimation of the Invariant Density for Discretely Observed Diffusion Processes: Impact of the Sampling and the Asynchronicity

Authors: C. Amorino, A. Gloter

Journal: Statistics

Year: 2023

Citations: 5

Analyzes the effects of sampling and asynchronicity on invariant density estimation.

 

 

 

 

 

 

Noor Saeed Khan | Mathematics | Research Citation Excellence Award

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Assist. Prof. Dr. Noor Saeed Khan | Mathematics | Research Citation Excellence Award

Assist. Prof. Dr. Noor Saeed Khan, University of Education Lahore, Attock Campus, Attock, Pakistan

Assistant Professor Dr. Noor Saeed Khan is currently serving as an Assistant Professor of Mathematics at the University of Education Lahore, Attock Campus, Pakistan. His academic and professional career highlights his expertise in fluid mechanics, mathematical modeling, and numerical analysis. Dr. Khan’s teaching portfolio includes various undergraduate and postgraduate mathematics courses, and he has significantly contributed to student supervision at multiple academic levels.

Education:

SSC
Institution: Govt. High School Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

FSc
Institution: Govt. Degree College Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

BSc
Institution: Govt. Post Graduate College Karak, Khyber Pakhtunkhwa, Pakistan

MSc Mathematics
Institution: Department of Mathematics, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan

MS Mathematics
Institution: FAST-National University of Computer and Emerging Sciences, Hayat Abad, Peshawar Campus

PhD Mathematics
Institution: Department of Mathematics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan

Post-Doctorate
Title: A Novel Assessment of Nanofluids Thermodynamics Stability Simulated Through Homotopy Analysis Method
Institution: KMUTT-Fixed Point Research Laboratory, Fixed Point Theory and Applications Research Group, Theoretical and Computational Science Center (TaCS), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand

Professional Profiles:

Google Scholar

Professional Experience:

Dr. Khan began his career as an Assistant Professor at the University of Education Lahore in 2020 and has served at both the Multan and Attock campuses. His cumulative teaching and research experience span multiple years, contributing to both academic growth and institutional development.

Research Interests:

Dr. Khan’s research areas include:

Fluid Mechanics and Thermodynamics: Expertise in Newtonian and non-Newtonian fluids, nanofluids, and gyrotactic microorganisms.

Numerical Methods and Modeling: Application of advanced mathematical techniques like HAM for solving complex fluid mechanics problems.

He has also led a Higher Education Commission (HEC)-funded research project worth PKR 1 million, focusing on enhanced thermal conductivity in nanofluids.

Publications:

Thin film flow of a second-grade fluid in a porous medium past a stretching sheet with heat transfer
Published in: Alexandria Engineering Journal (Elsevier), Vol. 57, Issue 2, Pages 1019-1031 (2017)
Impact Factor: 6.2
DOI: 10.1016/j.aej.2017.01.036

Thermophoresis and thermal radiation with heat and mass transfer in a magnetohydrodynamic thin film second-grade fluid of variable properties past a stretching sheet
Published in: European Physical Journal Plus (Springer Nature), 132, 11 (2017)
Impact Factor: 2.8
DOI: 10.1140/epjp/i2017-11277-3

Brownian motion and thermophoresis effects on MHD mixed convective thin film second-grade nanofluid flow with Hall effect and heat transfer past a stretching sheet
Published in: Journal of Nanofluids (American Scientific Publisher), 6(5): 812-829 (2017)
Impact Factor: Pending for 2025
DOI: 10.1166/jon.2017.1383

Magnetohydrodynamic nanoliquid thin film sprayed on a stretching cylinder with heat transfer
Published in: Applied Sciences (MDPI), 7(3), 271 (2017)
Impact Factor: 2.5
DOI: 10.3390/app7030271

Mixed convection in gravity-driven thin film non-Newtonian nanofluids flow with gyrotactic microorganisms
Published in: Results in Physics (Elsevier BV), 7:4033-4049 (2017)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2017.10.017

Flow and heat transfer in water-based liquid film fluids dispensed with graphene nanoparticles
Published in: Results in Physics (Elsevier BV), 8:1143-1157 (2018)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2018.01.032

Non-Newtonian nanoliquids thin film flow through a porous medium with magnetotactic microorganisms
Published in: Applied Nanoscience (Springer Nature), 8:1523-1544 (2018)
Impact Factor: 3.674
DOI: 10.1007/s13204-018-0834-5

Magnetohydrodynamic second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Computational and Applied Mathematics (Springer Nature), 37:6332-6358 (2018)
Impact Factor: 2.5
DOI: 10.1007/s40314-018-0683-6

Bioconvection in second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Brazilian Journal of Physics, 48(4):227-241 (2018)
Impact Factor: 1.5
DOI: 10.1007/s13538-018-0567-7

Study of two-dimensional boundary layer flow of a thin film fluid with variable thermo-physical properties in three-dimensional space
Published in: AIP Advances, 8(10):105318 (2018)
Impact Factor: 2.6
DOI: 10.1063/1.5053808

Conclusion:

Assist. Prof. Dr. Noor Saeed Khan is a strong candidate for the Research Citation Excellence Award, thanks to his prolific contributions to applied mathematics and fluid dynamics. His research is widely published and cited, demonstrating relevance and innovation. To enhance his candidacy, increased community engagement, leadership in funded projects, and interdisciplinary collaborations could further strengthen his impact.

 

 

 

 

 

 

Rania Saadeh | Mathematics | Best Researcher Award

Published on by Citation Awards

Prof. Rania Saadeh | Mathematics | Best Researcher Award

Academic at Zarqa University, Jordan

Rania Saadeh is an accomplished mathematician with a strong background in academia. She holds a Ph.D. in Mathematics specializing in Applied Mathematics, with a GPA of 3.8, and serves as an Associate Professor of Mathematics at Zarqa University. Rania is committed to innovative teaching methods and impactful research, aiming to inspire curiosity and drive progress in the field of mathematics. With a Master’s degree in Mathematics and a Bachelor’s degree in Mathematics, both with excellent GPAs, Rania has a solid foundation in the subject. Her work experience includes roles as a part-time Lecturer and Lecturer, where she shared her knowledge and expertise with students. Rania has extensive experience teaching a variety of mathematics courses, including Calculus, Linear Algebra, Number Theory, and Probability Theory. Her dedication to teaching and research, coupled with her passion for mathematics, has made her a respected figure in the field.

Professional Profiles:

📚 Education:

Rania Saadeh has pursued an extensive academic journey in mathematics, culminating in a series of impressive achievements. She holds a Doctor of Philosophy (Ph.D.) in Mathematics, specializing in Applied Mathematics, where she maintained a remarkable GPA of 3.8. Prior to her doctoral studies, Rania completed a Master of Science (MSc) in Mathematics, focusing on Applied Mathematics, with a GPA of 94%. Her undergraduate studies include a Bachelor of Science (BSc) in Mathematics, where she achieved an outstanding GPA of 96%. Throughout her educational career, Rania has demonstrated a deep passion for mathematics and a strong commitment to academic excellence. Her advanced degrees and exceptional academic performance underscore her expertise and dedication to the field of mathematics.

📝Work Experience:

Rania Saadeh has built a strong foundation in academia through her work experience in mathematics education. She currently serves as an Associate Professor of Mathematics at Zarqa University, a position she has held since 2022. In this role, Rania is deeply involved in teaching mathematics courses and conducting research in her field. Her commitment to innovative teaching methods and inspiring students has made her a valuable asset to the university. Prior to her current position, Rania gained valuable experience as a Part-time Lecturer from 2016 to 2022, where she contributed to the academic development of students. Before that, she worked as a Lecturer from 2014 to 2015, further refining her teaching skills and engaging with students at a more profound level. Throughout her career, Rania’s passion for mathematics and her dedication to academic excellence have been evident. Her work experience highlights her commitment to teaching and research, making her a respected figure in the field of mathematics education.

📊Teaching  :

Rania Saadeh has extensive experience in academic teaching, spanning a wide range of mathematics courses. She has taught Calculus (1, 2, 3, 4), Linear Algebra (1, 2), Number Theory, Logic and Set Theory, Ordinary Differential Equations (1 & 2), Methods in Applied Mathematics, Numerical Methods, Principles in Applied Mathematics, Partial Differential Equations, Complex Analysis, Advanced Complex Analysis, Mathematical Statistics, and Probability Theory. Rania’s expertise in these subjects has enabled her to effectively impart knowledge and skills to her students, helping them develop a strong foundation in mathematics. Her dedication to teaching and her passion for mathematics have made her a highly respected educator in her field.

 

📚Publications :

Modeling COVID-19 spread and non-pharmaceutical interventions in South Africa: A stochastic approach

Authors: M Ali, SM Alzahrani, R Saadeh, MA Abdoon, A Qazza, N Al-kuleab, …

Journal: Scientific African 24

Citations: Not specified

Year: 2024

Role of catalytic reactions in a flow-induced due to outer stationary and inner stretched coaxial cylinders: An application of Probabilists’ Hermite collocation method

Authors: J Madhu, R Saadeh, K Karthik, RSV Kumar, RN Kumar, RJP Gowda, …

Journal: Case Studies in Thermal Engineering 56

Citations: Not specified

Year: 2024

Master generators: A novel approach to construct and solve ordinary differential equations

Authors: M Abu-Ghuwaleh, R Saadeh, R Saffaf

Journal: Mathematics and Computers in Simulation 218

Citations: 1

Year: 2024

Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method

Authors: K Chandan, R Saadeh, A Qazza, K Karthik, RS Varun Kumar, RN Kumar, …

Journal: Scientific Reports 14 (1)

Citations: Not specified

Year: 2024

Mathematical modeling and stability analysis of the novel fractional model in the Caputo derivative operator: a case study

Authors: R Saadeh, MA Abdoon, A Qazza, M Berir, FEL Guma, N Al-Kuleab, …

Journal: Heliyon

Citations: Not specified

Year: 2024

A Fractional Study for Solving the SIR Model and Chaotic System

Authors: M Berir, R Saadeh, MA Abdoon, A Qazza, D Almutairi

Journal: IAENG International Journal of Applied Mathematics 54 (2)

Citations: Not specified

Year: 2024

Effective methods for numerical analysis of the simplest chaotic circuit model with atangana–baleanu Caputo fractional derivative

Authors: ABM Alzahrani, R Saadeh, MA Abdoon, M Elbadri, M Berir, A Qazza

Journal: Journal of Engineering Mathematics 144 (1)

Citations: 4

Year: 2024

The Mohanad Transforms and Their Applications for Solving Systems of Differential Equations

Authors: R Saadeh, A Alshawabkeh, R Khalil, MA Abdoon, N Taha, DK Almutairi

Journal: European Journal of Pure and Applied Mathematics 17 (1)

Citations: 1

Year: 2024

Applying Conformable Double Sumudu–Elzaki Approach to Solve Nonlinear Fractional Problems

Authors: SA Ahmed, R Saadeh, A Qazza

Year: 2024

Solving Nonlinear Volterra Integral Equations by Mohanad Decomposition Method

Authors: R Saadeh, R Khalil

Journal: WSEAS Transactions on Mathematics 23

Citations: Not specified

Year: 2024

Exploring analytical results for (2+ 1) dimensional breaking soliton equation and stochastic fractional Broer-Kaup system

Authors: FL Hasan, MA Abdoon, R Saadeh, A Qazza, D Khalid

Journal: AIMS Mathematics 9 (5)

Citations: Not specified

Year: 2024

A new approach in handling one-dimensional time-fractional Schrödinger equations

Authors: A El-Ajou, R Saadeh, MA Dunia, A Qazza, Z Al-Zhour

Journal: AIMS Mathematics 9 (5)

Citations: Not specified

Year: 2024