Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

Ms. Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

University of Delhi | India

Ms. Lalhmingsangi Famhawite is a dedicated Research Scholar at the Department of Mathematics, University of Delhi, whose research lies at the intersection of Computational Fluid Dynamics (CFD) and Biomedical Engineering. Her academic and scientific pursuits focus on the numerical simulation of bioheat transfer processes in cryosurgical treatment of tumor tissues, applying advanced mathematical models to real-world biomedical challenges. With 4 peer-reviewed publications, 9 citations, and an h-index of 1, her scholarly work demonstrates growing influence in the field of computational biothermal modeling and mathematical applications in health technology. Her research contributions explore the complex interactions between thermal diffusion, vascular networks, and tissue damage during cryoablation procedures—a minimally invasive technique for cancer therapy. By combining finite element analysis, bioheat transfer modeling, and numerical simulation, she has developed innovative approaches to simulate and optimize cryosurgical processes, improving precision and safety in treatment outcomes. Ms. Famhawite’s work includes creating 2D and 3D vascularized liver tumor models, investigating coupled heat-mass transfer phenomena, and evaluating biomechanical effects of tissue freezing, which have significant implications for advancing computational medicine and patient-specific treatment design. Her technical expertise spans COMSOL Multiphysics, MATLAB, and finite element methods, enabling her to conduct high-fidelity simulations that align closely with experimental and clinical observations. She has presented her findings at prestigious international platforms, including the Indian Society of Theoretical and Applied Mechanics (ISTAM) and the International Conference on Recent Trends in Mathematics (ICRTM), reflecting her active engagement with the global research community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Tanwar, S., Famhawite, L., & Verma, P. R. (2023). Numerical simulation of bio-heat transfer for cryoablation of regularly shaped tumours in liver tissue using multiprobes. Journal of Thermal Biology, 113, 103531.

Famhawite, L., Tanwar, S., & Verma, P. R. (2024). PERSPECTIVE: Cryosurgery process applications: A mathematical review. CryoLetters, 45(5), 269–278.

Famhawite, L., Tanwar, S., & Verma, P. R. (2025). Numerical simulations to analyze the impact of vascular network complexity over cryosurgical treatment process of two-dimensional liver tumor tissue. International Journal for Computational Methods in Engineering Science and Mechanics.

Tanwar, S., Famhawite, L., & Verma, P. R. (2026). Bioheat transfer simulations of cryoablation and their comparison with different optimization techniques for patient-specific segmented liver tumor tissue. International Journal of Thermal Sciences, 220, 110301.

Ilhem Kadri | Mathematics | Best Researcher Award

Dr. Ilhem Kadri | Mathematics | Best Researcher Award

Oran 1 Ahmed Ben Bella University, Algeria

Dr. Ilhem Kadri is an accomplished Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, with a Ph.D. in Applied Mathematics from the University of Jordan (2022) and a Master’s in Applied Mathematics from the University of Oran 1. Her educational foundation, including a Licence in Mathematics and early scientific training in Algeria, laid the groundwork for her expertise in fractional calculus, nonlinear partial differential equations, fractional differential equations, numerical and analytical methods, mathematical computing, and systems of differential equations. Throughout her career, Dr. Kadri has demonstrated strong professional engagement in both research and academic development, contributing significantly to applied and computational mathematics and exploring innovative analytical and numerical methods for solving complex differential systems. Her research interests include the study of atomic solutions, non-equilibrium dynamics, weak chaos in Hamiltonian and driven systems, and computational modeling using fractional and conformable differential equations. Dr. Kadri is proficient in LaTeX, Scientific Workplace, Mathematica, and MATLAB, enabling her to design and implement robust computational frameworks and advanced mathematical models. She has actively disseminated her research through international conferences and workshops, including events in Turkey, Greece, India, Malaysia, and Pakistan, and has authored 4 research documents, accumulating 10 citations with an h-index of 2, reflecting her growing impact in the field. Her academic contributions are complemented by her dedication to mentoring students and promoting research excellence in applied mathematics. Dr. Kadri’s awards and honors underscore her scholarly promise, while her work continues to bridge theoretical and computational approaches to complex mathematical phenomena. Her research vision emphasizes the integration of fractional calculus and computational techniques to address emerging challenges in science and engineering, demonstrating her potential to advance both the theoretical foundations and practical applications of mathematics, contributing significantly to global innovation, industrial solutions, and societal advancement.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  1. Kadri, I., Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150.

  2. Kadri, I., Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59.

  3. Kadri, I., Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6.

  4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I. (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

  5. Kadri, I., Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3), 6381.

Dr. Ilhem Kadri’s work advances the understanding and application of fractional and nonlinear differential equations, providing robust computational tools for modeling complex systems. Her research contributes to scientific innovation, supports industrial problem-solving, and enables the development of advanced technologies with broad societal impact.

Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

Vaal University of Technology | South Africa

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo is a distinguished academic and researcher in the field of applied physical sciences, serving at the Vaal University of Technology. With a strong background in Mechanical Engineering and specialization in Theoretical Fluid Dynamics, he has established himself as a recognized authority in Computational Fluid Dynamics (CFD), Mathematical Biology, and Mathematics Education. His career reflects a balance between teaching, research, scholarly publishing, and academic leadership, positioning him as a vital contributor to both local and international scientific communities. He has published extensively in peer-reviewed journals indexed in Scopus and ISI, authored and co-authored books, and contributed to the advancement of research through editorial roles and special issue guest editorships. Dr. Lebelo is also a committed mentor, guiding students in research and academic growth, and has actively participated in more than thirty international conferences where he has shared his expertise and findings. His dedication extends beyond academia through his involvement in volunteer platforms, editorial services, and authorship of books with broader educational and societal impact. Overall, his work demonstrates a unique blend of innovation, leadership, and service that makes him a respected scholar in his field.

Professional Profile

Scopus | ORCID

Education

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo holds a Ph.D. in Mechanical Engineering with a specialization in Theoretical Fluid Dynamics, which laid the foundation for his deep engagement in Computational Fluid Dynamics and applied mathematics research. His educational path provided him with both theoretical insight and practical knowledge, allowing him to pursue a wide range of multidisciplinary research areas. During his doctoral training, he developed advanced computational and mathematical modelling skills, enabling him to approach complex physical and engineering problems with rigorous analytical frameworks. His academic background also extends into applied physical sciences, providing him with a versatile foundation to teach, conduct research, and contribute to academic curricula in engineering and mathematics education. Dr. Lebelo’s educational experience has been marked by a balance of research, teaching, and applied study, equipping him with the capability to supervise postgraduate students and lead interdisciplinary collaborations. His scholarly journey reflects a strong commitment to academic excellence and a determination to contribute to both theoretical understanding and real-world problem-solving. Through his education, he has acquired the skills, knowledge, and academic credibility that continue to guide his contributions as a respected researcher and Associate Professor.

Professional Experience

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo’s professional experience encompasses academic teaching, research leadership, editorial responsibilities, and contributions to scientific dialogue at global platforms. At the Vaal University of Technology, he has played a significant role in advancing research in applied physical sciences while mentoring students and supporting academic programs in engineering and mathematics. His teaching extends to both undergraduate and postgraduate levels, focusing on mechanical engineering, computational techniques, and mathematical modelling. In addition to teaching, he has made substantial contributions as an editor and reviewer for over twenty international peer-reviewed journals, and he serves on editorial boards of several recognized publications. His experience includes guest-editing multiple special issues in fields such as mathematical applications, CFD, and differential equations, demonstrating his leadership in shaping research directions. Beyond editorial service, he has authored textbooks, research monographs, and co-edited volumes that support both academic and applied communities. Participation in international conferences has allowed him to disseminate his research findings, build networks, and engage in global collaborations. This broad professional experience highlights his academic leadership, influence in advancing scientific research, and his role as an educator committed to excellence and innovation in applied sciences.

Research Interests

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo research interests are highly interdisciplinary, bridging Mechanical Engineering, Applied Mathematics, and Biology. His primary specialization lies in Computational Fluid Dynamics (CFD), where he explores complex fluid systems through mathematical modelling and numerical simulations. This area of research allows him to address challenges in engineering, environmental sciences, and biomedical applications. He is equally engaged in Mathematical Biology, contributing models that examine biological processes and systems with applications in medicine and environmental sustainability. His interest in Mathematics Education reflects his commitment to advancing teaching methodologies and improving student engagement in engineering and mathematical sciences. Additionally, he has dedicated his efforts to developing advanced modelling approaches using differential equations, numerical methods, and simulation techniques. Through these research pursuits, Dr. Lebelo contributes not only to theoretical knowledge but also to applied problem-solving in science, technology, and education. His interdisciplinary focus enables him to foster collaborations across academic domains and engage in research that impacts both academia and industry. His body of work reflects a long-term vision to use mathematics and computation as tools for solving complex, real-world problems while simultaneously advancing academic learning and research.

Research Skills

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo possesses a diverse range of research skills that strengthen his ability to conduct and lead multidisciplinary studies. His expertise in Computational Fluid Dynamics equips him with advanced modelling, simulation, and analytical abilities essential for investigating fluid flow and engineering processes. He has strong skills in applied mathematics, particularly in differential equations, numerical analysis, and mathematical modelling, which he applies to both engineering and biological systems. His editorial work further demonstrates his ability to critically evaluate scientific manuscripts and contribute to shaping global research standards. In addition, he is skilled in research communication, having presented at more than thirty international conferences where he has shared complex ideas with clarity. His authorship of textbooks and research books highlights his capacity for synthesizing knowledge into accessible resources for students and professionals. Beyond technical abilities, Dr. Lebelo’s research skills include project leadership, mentoring students, and collaborating across international research teams. His combination of technical, analytical, and leadership skills reflects not only his capacity as a researcher but also as a thought leader who can influence the future of science and education.

Awards and Honors

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo has earned recognition for his academic and professional contributions through numerous honors, roles, and achievements. His reputation as a reviewer for more than twenty peer-reviewed journals highlights his respected standing in the global scientific community. His selection to serve on editorial boards and guest-edit special issues in prestigious journals reflects international acknowledgment of his expertise. Notably, he has edited volumes in areas such as mathematical applications, CFD, and applied mathematics, further strengthening his academic influence. His authorship and co-editorship of textbooks and research monographs, including works published by MDPI, Scientific.Net, and Frontiers, demonstrate his contribution to shaping academic discourse in engineering and applied mathematics. Beyond academic publishing, he has also authored spiritual books, expanding his impact beyond the scientific community into broader cultural and social contexts. His participation in over thirty international conferences, both as a presenter and academic representative, signifies recognition of his expertise on global platforms. These collective honors and accomplishments underscore his dedication, excellence, and leadership in advancing research, education, and societal contributions.

Publication Top Notes

  1. Irreversibility Analysis of Hydromagnetic Casson Fluid Flow Through an Inclined Channel with Isothermal Boundary Conditions — 2025

  2. Energy Efficacy Enhancement in a Reactive Couple-Stress Fluid Induced by Electrokinetics and Pressure Gradient with Variable Fluid Properties — 2025 — 1 citation

  3. Modelling epidemiological dynamics with pseudo-recovery via fractional-order derivative operator and optimal control measures — 2025 — 3 citations

  4. Convective and Radiative Heat Transfer Analysis in a Three-Step Exothermic Chemical Reaction: Case Study—Methane Combustion — 2025

  5. Impact of Optimal Intervention Strategies on Psychoactive Substance Abuse Dynamics With Addicted Immigrants: A Mathematical Study — 2025 — 1 citation

  6. Transformative learning in the PGDHE programmme at one university of technology in South Africa — 2025

  7. Modelling and Optimal Control of Influenza Dynamics with Structured Populations Based on Education and Isolation — 2025 — 1 citation

Conclusion

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo stands out as a remarkable academic whose contributions span teaching, research, publishing, and leadership in applied physical sciences. His work in Computational Fluid Dynamics, Mathematical Biology, and Mathematics Education has not only enriched theoretical understanding but also addressed real-world challenges across multiple disciplines. By publishing extensively, serving as an editor and reviewer, and authoring influential books, he has played a vital role in advancing scientific knowledge and shaping the academic community. His recognition at international conferences, along with his mentorship of students, demonstrates his role as both a leader and educator dedicated to future generations of scientists and engineers. The honors and editorial positions he has earned further solidify his reputation as a trusted and respected figure in the global research community. With a strong vision for interdisciplinary collaboration, he is poised to continue influencing the direction of applied mathematics and engineering research. His career reflects a rare blend of intellectual rigor, professional service, and social impact, making him truly deserving of recognition as a distinguished researcher and academic leader.

Yongfeng Li | Mathematics | Best Researcher Award

Prof. Dr. Yongfeng Li | Mathematics | Best Researcher Award

Zhengzhou University of Light Industry, China

Professor Yongfeng Li is a distinguished academic and researcher in the field of mathematics, currently serving at Zhengzhou University of Light Industry. With over two decades of teaching and research experience, she has made significant contributions in biomathematics, particularly in population ecology and infectious disease dynamics. She is a master’s supervisor, recognized as a young backbone teacher in Henan Province, and has been acknowledged as an Outstanding Postgraduate Supervisor at her institution. Her international academic exposure includes a year as a visiting scholar at York University, Canada, supported by the China Scholarship Council. Professor Li has successfully led multiple funded projects, including a major one supported by the National Natural Science Foundation of China. In addition to her research accomplishments, she is dedicated to teaching, having instructed both undergraduate and postgraduate courses in core mathematical disciplines. She has published more than 40 research papers in reputable journals and contributed to textbook development. Professor Li has actively guided students in academic competitions, earning institutional and provincial recognition. Her service as a journal reviewer underscores her standing in the academic community. Overall, Professor Li’s profile reflects a balance of research excellence, educational leadership, and international engagement.

Professional Profile

Education

Yongfeng Li pursued her academic journey in mathematics, culminating in a Ph.D. from Nanjing Normal University between 2006 and 2009. Prior to that, she earned her Master’s degree in Mathematics from Xinyang Normal University from 2003 to 2006. She also completed her Bachelor’s degree in Mathematics from the same institution between 1999 and 2003. Her educational path reflects a continuous and focused engagement in mathematical sciences, providing her with a solid foundation in both theoretical and applied aspects of the field. Each stage of her academic progression contributed to her growing interest in biomathematics and mathematical modeling. During her doctoral studies, she likely concentrated on more specialized topics in ordinary and partial differential equations, which now serve as the theoretical backbone of her current research in infectious disease dynamics and population ecology. Her educational background not only prepared her for a successful academic career but also equipped her with the tools to contribute meaningfully to applied mathematical problems. The institutions she attended are known for their rigorous programs in science and education, ensuring that she developed both deep disciplinary knowledge and the capacity for interdisciplinary research.

Professional Experience

Since 1999, Professor Yongfeng Li has been affiliated with Zhengzhou University of Light Industry, where she has built a robust academic and research career. Over the years, she has assumed various academic roles, advancing from a teaching position to becoming a full professor and a postgraduate supervisor. Her experience spans teaching undergraduate and postgraduate students, conducting independent and collaborative research, and guiding students in competitive academic environments. From July 2015 to July 2016, she broadened her global academic perspective as a visiting scholar at York University in Canada, under the sponsorship of the China Scholarship Council. This experience enriched her research methodologies and established valuable international academic networks. Throughout her career, Professor Li has been involved in developing and delivering a wide range of mathematics courses, such as Mathematical Analysis, Advanced Mathematics, and Differential Equations. Her practical experience is complemented by administrative and mentoring responsibilities, contributing to the academic governance and development of her department. In addition to her university role, she has contributed to the wider academic community as a reviewer for international journals. Her professional journey reflects dedication to both academic excellence and student development within a structured and evolving academic environment.

Research Interests

Professor Yongfeng Li’s primary research interests lie in the domain of biomathematics, with a specific focus on mathematical modeling in population ecology and infectious disease dynamics. Her work involves developing and analyzing differential equation models to understand complex biological and epidemiological systems. These models help in simulating and predicting the behavior of diseases or populations under varying conditions, contributing to public health strategies and environmental management. Her research bridges theoretical mathematics with real-world biological phenomena, offering insights into how mathematical tools can be applied to address pressing scientific and societal problems. Additionally, she explores the stability, bifurcation, and long-term behavior of nonlinear dynamic systems, particularly in delayed and impulsive differential equations. This reflects a strong foundation in both pure and applied mathematics. Professor Li’s interest in mathematical modeling has also extended into interdisciplinary projects, allowing for collaboration with professionals in biology, medicine, and environmental sciences. Her ability to contextualize mathematics in biological systems has enabled her to lead and contribute to research that is both academically rigorous and socially relevant. These interests underscore her commitment to research that informs practice and policy while advancing mathematical theory.

Research Skills

Professor Yongfeng Li possesses a diverse and comprehensive set of research skills rooted in advanced mathematical analysis, modeling, and applied mathematics. She is highly proficient in developing mathematical models for biological systems, particularly using ordinary differential equations (ODEs), delay differential equations (DDEs), and impulsive differential equations to describe population dynamics and the spread of infectious diseases. Her expertise extends to qualitative and stability analysis of nonlinear systems, bifurcation theory, and numerical simulations. These skills are crucial in assessing the robustness, equilibrium, and long-term behavior of modeled phenomena. She is also adept at using mathematical software tools such as MATLAB and Mathematica to perform simulations, verify theoretical findings, and visualize results. Her strong analytical thinking and problem-solving ability enable her to tackle complex interdisciplinary questions, often in collaboration with experts from the life sciences. As a reviewer for international journals, she demonstrates a refined skill in critical analysis and scholarly evaluation. Furthermore, her experience in curriculum development and textbook compilation reflects her ability to translate complex research into educational content. These competencies collectively enable her to conduct impactful research, contribute to academic discourse, and mentor future scholars effectively.

Awards and Honors

Professor Yongfeng Li has received numerous awards and recognitions throughout her career, highlighting her excellence in teaching, research, and mentorship. In 2023, she was honored as an Outstanding Postgraduate Supervisor by Zhengzhou University of Light Industry, acknowledging her significant role in graduate education and student development. She was also recognized as an Outstanding Instructor in the 2021 National College Students’ Mathematics Competition, reflecting her effectiveness in mentoring students for high-level academic competitions. In 2019, she won the Second Prize in the Fifth Mathematics Micro-course Teaching Design Competition in Henan Province, which demonstrates her innovative approach to teaching. Notably, she was selected as a Young Backbone Teacher by the Henan provincial education authority in 2017, a designation that identifies promising academic leaders. Earlier in her career, she contributed to a project that received the First Prize for Scientific and Technological Achievements from the Education Department of Henan Province in 2013. These accolades underline her consistent performance, leadership, and contributions to both academic scholarship and student success. They also signify her standing as a respected member of the higher education and research community in China.

Conclusion

Professor Yongfeng Li’s academic journey exemplifies dedication, excellence, and impact across teaching, research, and mentorship. With a solid foundation in mathematics and a clear focus on biomathematics, she has consistently contributed to the advancement of knowledge through publications, funded projects, and interdisciplinary applications. Her ability to lead research teams, supervise graduate students, and guide undergraduates in national competitions speaks to her well-rounded academic profile. Her career has been marked by recognition at institutional and provincial levels, reflecting both her scholarly output and her role in nurturing academic talent. International exposure as a visiting scholar has broadened her perspective, while her ongoing role as a journal reviewer ensures she remains actively engaged with current research trends. Though her profile could benefit from further international collaborations and publications in top-tier journals, her current achievements make her a strong candidate for any research-based recognition. Her work contributes not only to the theoretical foundations of mathematics but also to practical solutions in population and health sciences. Professor Yongfeng Li stands out as a committed educator and researcher whose accomplishments align well with the standards of excellence for the Best Researcher Award.

Publications Top Notes

  • Title: Dynamical analysis of a plateau pika disease model with time delay
    Journal: Advances in Continuous and Discrete Models

  • Title: Dynamics of a Filippov airborne infectious disease model with triple-threshold control strategy
    Journal: Journal of Biological Systems

 

Dipesh | Mathematics | Best Researcher Award

Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

Assistant Professor from SR University, India

Dipesh is a renowned historian whose work has profoundly influenced the fields of postcolonial theory and subaltern studies. As the Lawrence A. Kimpton Distinguished Service Professor at the University of Chicago, his interdisciplinary research bridges South Asian history, global climate issues, and critical theory. His landmark book Provincializing Europe questioned the centrality of Europe in global historiography and remains foundational in postcolonial scholarship. Dipesh’s academic work spans across the Departments of History, South Asian Languages and Civilizations, and the College at the University of Chicago, while also contributing to the Law School and the Chicago Center for Contemporary Theory. He is one of the founding editors of the journals Postcolonial Studies and Subaltern Studies and serves as a consulting editor for Critical Inquiry. Dipesh’s scholarship consistently challenges dominant narratives, advocating for historical perspectives that consider diverse cultural and environmental contexts. Through his extensive publications, teaching, and editorial leadership, he continues to shape contemporary historical thought globally.

Professional Profile

Education

Dipesh’s educational background reflects a unique blend of science, management, and the humanities. He began his academic journey with a Bachelor of Science in Physics (Honors) from Presidency College, University of Calcutta, grounding him in analytical and empirical thinking. Recognizing the growing importance of organizational and strategic thinking, he pursued a postgraduate Diploma in Management from the Indian Institute of Management Calcutta. This experience added a managerial perspective to his academic toolkit. Ultimately drawn to questions of history and identity, Dipesh earned his Ph.D. in History from the Australian National University. His doctoral training laid the intellectual groundwork for his lifelong interrogation of historical narratives and colonial legacies. This diverse educational foundation enables Dipesh to approach historical inquiry from multiple vantage points, integrating methods and insights from the sciences, social sciences, and humanities. His academic versatility is one of the hallmarks of his groundbreaking scholarship, enabling him to speak across disciplines and contribute meaningfully to various scholarly debates.

Professional Experience

Dipesh has built an impressive academic and editorial career marked by interdisciplinary collaboration and global impact. At the University of Chicago, he holds the prestigious position of Lawrence A. Kimpton Distinguished Service Professor and is affiliated with the Departments of History, South Asian Languages and Civilizations, English, and the Law School. His role extends to being a faculty fellow at the Chicago Center for Contemporary Theory, where he contributes to critical interdisciplinary discussions. Internationally, Dipesh has served as a visiting distinguished professor at institutions like the Australian National University, highlighting the global recognition of his scholarship. He has significantly shaped postcolonial and historical scholarship through his editorial work. Dipesh is a founding member of the Subaltern Studies editorial collective, a founding editor of Postcolonial Studies, and a consulting editor for Critical Inquiry. These roles have placed him at the center of scholarly dialogue and allowed him to mentor emerging historians and scholars worldwide. His professional engagements reflect his commitment to decolonizing knowledge and advancing critical thought.

Research Interests

Dipesh’s research interests span across a broad range of interdisciplinary domains. His primary focus lies in modern South Asian history, where he explores colonialism, nationalism, and the complexities of historical memory. A pioneer in postcolonial studies, Dipesh challenges Eurocentric frameworks and seeks to “provincialize” Europe by emphasizing non-Western historical experiences. His scholarship delves into the history of capitalism, labor, and modernity in the global South, especially within the context of India. More recently, Dipesh has expanded his research to include climate change and the Anthropocene, exploring how environmental transformations reshape our understanding of history and human agency. His integration of environmental concerns into historiography has made him a leading thinker in environmental humanities. Dipesh’s work is characterized by its interdisciplinary approach, drawing on philosophy, literature, environmental science, and political theory to examine the intersection of history with questions of justice, identity, and global futures. His research continues to open new pathways in historical inquiry.

Research Skills

Dipesh possesses a broad and deep set of research skills rooted in critical theory, historical methodology, and interdisciplinary synthesis. His academic background in physics, management, and history equips him with a rare analytical perspective that informs his approach to complex historical questions. He is skilled in archival research, historiographical critique, and textual analysis, often drawing on a range of primary and secondary sources across languages and cultural contexts. Dipesh employs postcolonial and subaltern methodologies to interrogate dominant historical narratives and uncover marginalized voices. He is also adept at incorporating environmental and philosophical frameworks into historical analysis, especially in the context of the Anthropocene. His editorial experience with major scholarly journals has honed his abilities in peer review, scholarly writing, and intellectual curation. Through collaborative projects, teaching, and mentorship, Dipesh demonstrates strong skills in academic communication, interdisciplinary dialogue, and the ability to foster critical thinking. These skills have enabled him to remain at the forefront of innovative historical scholarship.

Awards and Honors

Dipesh’s groundbreaking scholarship has earned him widespread recognition and numerous prestigious honors. In 2004, he was elected a Fellow of the American Academy of Arts and Sciences, acknowledging his outstanding contributions to historical thought and interdisciplinary scholarship. Two years later, in 2006, he was named an Honorary Fellow of the Australian Academy of the Humanities, reinforcing his international academic standing. The University of London awarded him an honorary Doctor of Letters (D.Litt.) in 2010, followed by an honorary doctorate from the University of Antwerp in 2011. That same year, his alma mater, the Indian Institute of Management Calcutta, recognized him as a Distinguished Alumnus, celebrating his scholarly accomplishments and contributions to global intellectual life. In 2014, Dipesh was awarded the prestigious Toynbee Prize, which honors social scientists for significant contributions to humanity through academic and public life. These accolades reflect the global impact of his work and his enduring influence on contemporary historical and theoretical scholarship.

Conclusion

Dipesh emerges as a transformative figure in contemporary historical thought, blending a unique interdisciplinary background with a commitment to challenging dominant narratives. From his early education in physics and management to his pioneering work in postcolonial and environmental history, Dipesh’s intellectual journey underscores the value of crossing disciplinary boundaries. His contributions to academic journals, his influential writings such as Provincializing Europe, and his innovative engagement with climate history position him as a leading voice in global scholarship. The honors and accolades he has received from esteemed academic institutions across the world are a testament to the profound impact of his work. Dipesh’s ability to connect history with pressing global concerns like climate change and decolonization continues to inspire new generations of scholars. His work not only enriches our understanding of the past but also provides vital insights into the challenges of the present and future. As a thinker, teacher, and editor, Dipesh stands as a beacon of critical and engaged scholarship in the humanities.

Publication Top Notes

  • Title: Effect of time delay on dynamic of plant competition under allelopathy
    Author: P.K. Dipesh
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2022
    Citations: 11

  • Title: Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: P. Dipesh, P. Kumar, C. Cattani
    Journal: International Journal of Mathematics and Computer in Engineering
    Year: 2023
    Citations: 10

  • Title: Effect of time-lag on two mutually competing plant populations under allelochemicals
    Author: P.K. Dipesh
    Journal: Journal of Physics: Conference Series, 2267(1), 012019
    Year: 2022
    Citations: 10

  • Title: Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator
    Authors: P. Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Journal: AIMS Mathematics, 9(3), 7471–7191
    Year: 2024
    Citations: 6

  • Title: Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite (Y₃Fe₅O₁₂/Mg₀.₄Cd₀.₄Co₀.₂Fe₂O₄) composites
    Authors: P. Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Journal: Nano-Structures & Nano-Objects, 36, 101035
    Year: 2023
    Citations: 6

  • Title: Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Author: P.K. Dipesh
    Journal: Chaos, Solitons & Fractals, 171, 113457
    Year: 2023
    Citations: 6

  • Title: Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: P. Dipesh, P. Kumar
    Journal: AIP Conference Proceedings, 2435(1)
    Year: 2022
    Citations: 6

  • Title: Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Author: P. Dipesh
    Journal: Mathematics and Computing, pp. 605–620
    Year: 2023
    Citations: 3

  • Title: On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under the delayed external investment: A new DDE model
    Authors: P. Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Journal: Alexandria Engineering Journal, 91, 510–515
    Year: 2024
    Citations: 2

  • Title: Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Author: P. Dipesh
    Journal: Emerging Advancements in Mathematical Sciences, pp. 39–58
    Year: 2022
    Citations: 2

Ankur Singh | Mathematics | Young Scientist Award

Dr. Ankur Singh | Mathematics | Young Scientist Award

Assistant Professor from PDEU Gandhinagar, India

Dr. Ankur Singh is an accomplished Assistant Professor (Grade-I) in the Department of Mathematics at Pandit Deendayal Energy University, India. With a Ph.D. in Mathematics from the Indian Institute of Technology (ISM) Dhanbad, he specializes in Algebraic Coding Theory and Number Theory. His research primarily focuses on self-dual codes, quantum codes, and the intricate relationship between lattices and modular forms. Dr. Singh has a robust academic and research background complemented by hands-on experience in teaching undergraduate and postgraduate courses. He has supervised Ph.D. students and actively contributes to organizing academic workshops and conferences. His publications appear in reputable journals covering topics like self-dual codes over finite rings, Jacobi forms, and theta series. Dr. Singh has received funding for research projects, including a significant grant on quantum error-correcting codes from the National Board for Higher Mathematics (NBHM), Government of India. He is a life member of prominent mathematical societies and proficient in using advanced mathematical tools like Mathematica, Sage, and Magma. His work bridges theoretical mathematics with practical applications in coding and cryptography, marking him as a promising candidate for recognition as a young scientist.

Professional Profile

Education

Dr. Ankur Singh completed his Ph.D. in Pure Mathematics at the Indian Institute of Technology (ISM), Dhanbad, in 2020, earning a CGPA of 8.00. His doctoral research focused on codes over finite commutative local rings, lattices induced from codes, theta series, and modular forms. Prior to his Ph.D., he completed his Master of Science in Mathematics at the Indian Institute of Technology Madras in 2013, securing a CGPA of 7.53. His M.Sc. work included complex analysis under the supervision of Prof. M.T. Nair. Dr. Singh holds a Bachelor of Science degree in Mathematics, Physics, and Chemistry from Ewing Christian College, Allahabad (University of Allahabad), completed in 2010 with a commendable 67.67%. His foundational education includes completion of high school studies with strong academic performance in the state of Uttar Pradesh, India. Throughout his academic journey, Dr. Singh has consistently qualified competitive examinations such as GATE and JAM in Mathematics, showcasing his strong mathematical aptitude and theoretical knowledge.

Professional Experience

Dr. Singh currently serves as an Assistant Professor (Grade-I) at Pandit Deendayal Energy University, where he teaches various undergraduate and postgraduate mathematics courses, including Numerical Methods, Linear Algebra, and Discrete Mathematics. Since November 2022, he has been engaged in both teaching and research, mentoring Ph.D. students and coordinating workshops on the applications of mathematics in machine learning. Prior to this, he worked as a faculty member at VIT-AP University from 2019 to 2022, teaching advanced mathematical topics such as Applied Linear Algebra and Differential Equations. During his Ph.D. tenure at IIT (ISM) Dhanbad, Dr. Singh was a Junior and then Senior Research Fellow, where he also served as a teaching assistant, supervising tutorials and laboratory courses. His professional roles have consistently blended teaching, research, and academic leadership, demonstrating his capability to foster knowledge dissemination and contribute to the advancement of mathematical sciences.

Research Interests

Dr. Singh’s research interests lie predominantly in Algebraic Coding Theory and Number Theory. He specializes in the study and construction of self-dual codes, including Type I and Type II codes over finite rings, and their applications in quantum coding and DNA coding. His work extends to the construction of lattices induced from codes and the analysis of their theta series and modular forms such as Jacobi forms and Siegel upper half-plane forms. He also investigates quantum synchronizable codes and explores the relationships between complete weight enumerators and theta series over various number fields. His research integrates deep theoretical mathematics with practical coding applications, particularly in error-correcting codes, cryptography, and quantum information science. This blend of abstract algebra, geometry, and computational tools positions his work at the cutting edge of coding theory and mathematical research.

Research Skills

Dr. Singh is proficient in advanced mathematical software and tools including Mathematica, Sage, and Magma, which he employs for symbolic computations, code construction, and algebraic manipulations. His expertise encompasses coding theory techniques such as generator matrix construction, weight enumerators, and code optimality assessments. He is skilled in analyzing algebraic structures over finite rings and fields and in exploring modular and Jacobi forms within number theory. Additionally, Dr. Singh has experience in supervising mathematical research and guiding Ph.D. candidates, showing strong mentoring and academic leadership abilities. His familiarity with applied mathematics and computational methods allows him to bridge pure mathematics with real-world applications, particularly in cryptography and quantum error correction. This diverse skill set enhances his capability to conduct innovative research and contribute meaningfully to both theoretical and applied mathematical sciences.

Awards and Honors

Dr. Ankur Singh has been the recipient of several prestigious awards and funding grants throughout his career. Notably, he secured a research project grant from the National Board for Higher Mathematics (NBHM), Department of Atomic Energy, India, for the period 2025–2028, focusing on maximum distance separable quantum error-correcting codes. He has also received funding support from the Gujarat DST to organize a workshop on Applications of Mathematics in Machine Learning (AMMLA-2025). His research excellence was recognized early with a Senior Research Fellowship and Junior Research Fellowship at IIT (ISM) Dhanbad. He qualified highly competitive national examinations, including GATE and JAM in Mathematics. Dr. Singh’s memberships include life membership in the Indian Mathematical Society and the Society of Applied Mathematics. His travel grant from NBHM enabled him to participate in international research schools, underscoring his active engagement with the global mathematics community.

Conclusion

Dr. Ankur Singh’s impressive academic background, extensive research contributions, and active involvement in both teaching and organizing scholarly activities mark him as a strong candidate for the Young Scientist Award. His work in algebraic coding theory and number theory is both theoretically profound and practically significant, particularly in emerging fields such as quantum error correction and cryptography. Supported by notable grants and recognized by his peers, Dr. Singh demonstrates the qualities of a promising young researcher with the potential to make impactful advances in mathematics. Continued support and recognition would further empower him to expand his research, foster collaborations, and contribute to the development of innovative mathematical tools and techniques. Overall, Dr. Singh exemplifies the blend of academic excellence, research innovation, and leadership that the Young Scientist Award seeks to honor.

Publication Top Notes

  1. Type I and Type II codes over the ring
    Authors: Ankur, PK Kewat
    Journal: Asian-European Journal of Mathematics, 12(02), Article 1950025
    Year: 2019
    Citations: 2

  2. Self-dual codes over the ring and Jacobi forms
    Author: Ankur
    Journal: Asian-European Journal of Mathematics, 10(03), Article 1750055
    Year: 2017
    Citations: 2

  3. Diagnosis of Parkinson disease patients using Egyptian vulture optimization algorithm
    Authors: A Dixit, A Sharma, A Singh, A Shukla
    Conference: International Conference on Swarm, Evolutionary, and Memetic Computing, pp. 92-103
    Year: 2015
    Citations: 2

  4. Binary self-dual codes and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Applicable Algebra in Engineering, Communication and Computing, 34(3), pp. 377-392
    Year: 2023
    Citations: 1

  5. Type I and Type II codes over the ring
    Author: Ankur
    Journal: Arabian Journal of Mathematics, 9(1), pp. 1-7
    Year: 2020
    Citations: 1

  6. Construction of lattices over the real sub-field of ℚ(ς8) for block fading (wiretap) coding
    Authors: A Singh, P Kumar, A Shukla
    Journal: Discrete Mathematics, Algorithms & Applications, 17(4)
    Year: 2025

  7. A Review: On Special type of Quantum Error Correcting Codes
    Authors: UU Shinde, A Singh
    Journal: Discrete Mathematics, Algorithms and Applications
    Year: 2025

  8. Fuzzy-Based Security Assurance Framework Considering Uncertainty
    Authors: A Shukla, A Singh, B Katt, MM Yamin, S Pirbhulal, H Garg
    Book Chapter: Computational Modeling and Sustainable Energy: Proceedings of ICCMSE 2023, p. 115
    Year: 2025

  9. Theta series and weight enumerator over an imaginary quadratic field
    Authors: Ankur, KP Shum
    Journal: Asian-European Journal of Mathematics, 14(06), Article 2150098
    Year: 2021

  10. Self-dual codes over and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Designs, Codes and Cryptography, 89, pp. 1091-1109
    Year: 2021

  11. Theta series and its relation with the Weight Enumerator
    Author: Ankur
    Journal: ARS COMBINATORIA, 154, pp. 235-244
    Year: 2021

  12. Decomposition of Self-dual Codes Over a Commutative Non-Chain Ring
    Authors: Ankur, PK Kewat
    Journal: Malaysian Journal of Mathematical Sciences, 14(3)
    Year: 2020

  13. Codes over finite commutative local rings and their relation with lattices theta series and Jacobi forms
    Author: Ankur
    Institution: Indian Institute of Technology (ISM) Dhanbad, PhD Thesis
    Year: 2020

  14. SELF-DUAL CODES OVER THE RING F₂^m + uF₂^m + vF₂^m + uvF₂^m
    Author: Ankur
    Journal: Proceedings of the Jangjeon Mathematical Society, 21(4), pp. 617-625
    Year: 2018

 

 

Tegegne Getachew | Mathematics | Best Researcher Award

Dr. Tegegne Getachew | Mathematics | Best Researcher Award

Director for the directorate of international relations of research and partnerships from Mekdela Amba University, Ethiopia

Dr. Tegegne Getachew is an Assistant Professor at Mekdela Amba University with a strong academic background in applied mathematics, particularly in mathematical physics and nonlinear partial differential equations. His research interests focus on solving complex problems in fluid and plasma dynamics, with a particular emphasis on the persistence of spatial analyticity and nonlinear Schrödinger equations. Dr. Getachew has published extensively in well-regarded academic journals, including Math. Nachr., Analysis and Applications, and International Journal of Mathematics. His research has made significant contributions to understanding mathematical models in fluid dynamics and cryptography. Besides his academic work, Dr. Getachew has demonstrated a commitment to education and mentorship by organizing workshops and teaching both at the university and community levels. As a leader at Mekdela Amba University, he has held administrative roles such as the Director of International Relations and the Registrar, further demonstrating his ability to balance academic research with institutional management. His future prospects in research and education are highly promising, and his continued work is expected to influence both theoretical and practical applications of mathematical sciences.

Professional Profile

Education

Dr. Tegegne Getachew has a robust academic foundation that supports his expertise in mathematical sciences. He is set to complete his Ph.D. in the analysis of partial differential equations from Bahir Dar University in August 2024, a culmination of years of dedication to his field. Prior to this, he earned a Master’s degree in Algebra from the University of Gondar in 2014, building on his early interest in mathematics. His academic journey began with a Bachelor’s degree in Applied Mathematics from Samara University in 2011. Throughout his education, Dr. Getachew has remained committed to advancing his understanding of mathematical concepts, particularly in the areas of fluid dynamics, cryptography, and nonlinear equations. This strong educational background has not only shaped his research but also positioned him as a mentor for future generations of students at Mekdela Amba University and beyond. His academic trajectory is a testament to his passion for mathematics and his dedication to advancing research in applied and computational mathematics.

Professional Experience

Dr. Tegegne Getachew’s professional journey reflects a commitment to both academia and leadership. Starting his career at Wollo University from September 2011 to June 2017, Dr. Getachew contributed to teaching and research in applied mathematics. His transition to Mekdela Amba University in 2017 marked the beginning of several leadership roles that shaped his academic and professional growth. He served as the Director of the Library from November 2017 to August 2021, overseeing the development of resources and services critical to the academic success of students and faculty. In 2024, Dr. Getachew was appointed as the Registrar for the College of Natural and Computational Sciences at Mekdela Amba University, showcasing his capacity for administrative duties. Currently, he holds the position of Director of International Relations, Research, and Partnerships at Mekdela Amba University, fostering academic collaboration and advancing the institution’s global presence. His multifaceted experience reflects a balance of academic dedication and leadership within the university, underlining his ability to manage both scholarly activities and institutional responsibilities effectively.

Research Interests

Dr. Tegegne Getachew’s research interests are deeply rooted in applied analysis, mathematical physics, and nonlinear partial differential equations. His primary focus is on the mathematical models that arise in fluid and plasma dynamics, particularly in the context of spatial analyticity for nonlinear equations. Dr. Getachew has also contributed significantly to cryptography, where he has worked on mathematical approaches to secure data transmission and encryption. Additionally, his research explores applied and computational mathematics, addressing complex issues in theoretical and practical applications. His work on the persistence of spatial analyticity and asymptotic bounds for solutions to equations such as the KdV equation and nonlinear Schrödinger equations has been groundbreaking in understanding the behavior of solutions in fluid dynamics. With numerous published papers and ongoing research, Dr. Getachew’s work continues to provide valuable insights that bridge the gap between abstract mathematical theory and real-world phenomena in science and engineering.

Research Skills

Dr. Tegegne Getachew’s research skills are multifaceted and reflect his expertise in both theoretical and computational mathematics. He is proficient in mathematical tools such as LATEX, MATLAB, and Python, which are crucial for conducting detailed analysis and simulations in applied mathematics. His computational skills enable him to model complex systems, such as fluid dynamics and plasma behavior, using nonlinear partial differential equations. Dr. Getachew’s expertise in cryptography further highlights his ability to use mathematical techniques for practical, real-world applications. He is also skilled in data analysis and interpretation, which aids in understanding and solving complex mathematical models. As a researcher, Dr. Getachew is adept at presenting complex concepts in accessible ways, both through his publications and his roles as a trainer and mentor. His ability to engage with a wide range of mathematical problems and tools positions him as a well-rounded researcher capable of advancing the field of applied mathematics.

Awards and Honors

Dr. Tegegne Getachew has been recognized for his academic contributions and commitment to the field of mathematics. His work has earned him multiple honors, including invitations to present at prestigious conferences such as the African Graduate Students Conferences and webinars hosted by leading academic organizations. His research papers, often published in high-impact journals, are a testament to his contribution to mathematical research. Dr. Getachew has also been involved in various academic service roles, including serving as a reviewer for top-tier journals in applied mathematics and cryptography, such as the Journal of Emerging Technologies and Innovative Research and International Journal of Advanced Research. Additionally, his involvement in organizing and leading conferences further highlights his recognition and leadership within the academic community. Dr. Getachew’s accomplishments reflect a strong track record of excellence and a growing influence in the fields of applied mathematics and mathematical physics.

Conclusion

In conclusion, Dr. Tegegne Getachew is a dedicated and accomplished researcher whose work in applied mathematics and mathematical physics has significantly contributed to advancing the field. His academic and professional journey showcases a deep commitment to both research and education. His leadership roles at Mekdela Amba University reflect his ability to balance academic excellence with administrative responsibilities. With a robust research portfolio, numerous publications in high-impact journals, and active involvement in academic conferences and committees, Dr. Getachew is well-positioned to continue making significant strides in the mathematical sciences. His passion for research, combined with his mentorship and leadership, makes him an excellent candidate for recognition as a leading researcher in his field.

Publication Top Notes

  1. On the radius of spatial analyticity for the quintic fourth-order nonlinear Schrödinger equation on ℝ²

  2. New Lower Bound for the Radius of Analyticity for the Modified 2D Zakharov–Kuznetsov Equation

    • Authors: Tegegne Getachew

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2025-02-21

    • DOI: 10.1002/mma.10823

  3. Asymptotic Lower Bound on the Spatial Analyticity Radius for Solutions of the Periodic Fifth Order KdV–BBM Equation

    • Authors: Tegegne Getachew, Giovanni P. Galdi

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/5781898

  4. New Lower Bounds of Spatial Analyticity Radius for the Kawahara Equation

    • Authors: Tegegne Getachew, Jaume Giné

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/2947966

  5. New asymptotic lower bound for the radius of analyticity of solutions to nonlinear Schrödinger equation

  6. On the persistence of spatial analyticity for generalized KdV equation with higher order dispersion

    • Authors: Tegegne Getachew, Tesfahun, A., Belayneh, B.

    • Journal: Mathematische Nachrichten

    • Year: 2024

    • DOI: 10.1002/mana.202300158

  7. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation

    • Authors: Tegegne Getachew, Belayneh, B., Tesfahun, A.

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2024

    • DOI: 10.1002/mma.10309

  8. Lower bounds of spatial analyticity radius for Benjamin-Bona-Mahony equation on the circle

  9. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

Nitiraj V. Kulkarni is an aspiring researcher currently pursuing a Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic and research contributions span across multiple disciplines, including Computational Fluid Mechanics, Artificial Neural Networks (ANN), and Data Science. He has co-authored the Handbook for Basics of Artificial Intelligence and has published 10 research papers in reputed journals indexed in SCI and Scopus. Nitiraj has also made a significant impact by publishing over 12,000 datasets on various platforms, contributing valuable resources to the research community. Beyond academia, he has applied his technical skills to cybersecurity, receiving a letter of appreciation from the Director General of MSRTC for identifying a critical system vulnerability. Additionally, he has authored 8 books and has a patent under review, showcasing his dedication to knowledge dissemination and innovation. With his multidisciplinary approach, Nitiraj is making remarkable strides in integrating AI with engineering applications.

Professional Profile

Education

Nitiraj V. Kulkarni is pursuing his Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic background is centered around Machine Learning, Neural Networks, Computational Mathematics, and Data Science, providing a strong theoretical foundation in AI and its real-world applications. He has actively engaged in research-driven learning, with a focus on Artificial Neural Networks (ANN) in Fluid Mechanics. His education extends beyond formal coursework, as he has participated in research projects, self-learning, and collaborative work with leading scientists like Dr. Jagadish V. Tawade. Through these experiences, he has gained proficiency in computational modeling, numerical simulations, and AI-driven predictive analytics. His commitment to education is evident in his scientific publications and books, which contribute to knowledge dissemination in AI and engineering. Nitiraj’s strong academic foundation, combined with practical research exposure, positions him as a promising young scientist with significant contributions to AI and computational sciences.

Professional Experience

Despite being an undergraduate student, Nitiraj V. Kulkarni has built an impressive professional profile through active research, collaborations, and industry engagement. His most notable achievement includes receiving a letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, showcasing his expertise in cybersecurity and system analysis. He has also worked on an advanced research project involving Artificial Neural Networks (ANN) for Unsteady Boundary Layer Flow and Heat Transfer, demonstrating his ability to integrate AI with engineering and physics. In addition, Nitiraj has published 10 research papers in SCI and Scopus-indexed journals, authored 8 books, and has a patent under review, highlighting his contributions to innovation and knowledge dissemination. He has also actively collaborated with senior researchers like Dr. Jagadish V. Tawade, further strengthening his research capabilities. His multidisciplinary expertise reflects his commitment to bridging AI with computational mechanics and industry applications.

Research Interests

Nitiraj V. Kulkarni’s research interests are deeply rooted in the fields of Artificial Intelligence, Computational Fluid Mechanics, and Data Science. His primary focus lies in applying Artificial Neural Networks (ANN) to Fluid Mechanics for solving complex engineering problems, including boundary layer flow, heat transfer analysis, and thermoelectric energy harvesting. Additionally, he is interested in Machine Learning and Data Science, where he develops AI-driven predictive models and analyzes large-scale datasets to extract meaningful insights. His research extends into cybersecurity, where he explores system vulnerabilities and AI-based security solutions, as demonstrated by his work with MSRTC. Nitiraj is also engaged in nanofluid heat transfer studies, contributing to advancements in thermal energy management. His diverse research interests highlight his multidisciplinary approach, allowing him to tackle complex engineering challenges using AI and computational techniques. His work is aimed at developing innovative, data-driven solutions for real-world applications in engineering and technology.

Research Skills

Nitiraj V. Kulkarni possesses a diverse and advanced set of research skills, making him a valuable contributor to multiple scientific disciplines. His expertise in Artificial Neural Networks (ANN) allows him to develop AI-driven models for fluid mechanics and thermal engineering. He is highly proficient in Computational Fluid Dynamics (CFD), numerical modeling, and predictive analytics, which he applies in solving complex engineering problems. His data analysis and machine learning skills enable him to handle large-scale datasets and optimize predictive models for various applications. Additionally, his scientific writing and publishing experience is evident from his 10+ research papers and 8 books, contributing significantly to AI and computational sciences. Nitiraj also has strong skills in cybersecurity and vulnerability assessment, as demonstrated by his MSRTC recognition. His combination of theoretical knowledge, computational proficiency, and real-world application skills makes him a promising young scientist in AI and engineering research.

Awards and Honors

Nitiraj V. Kulkarni has received multiple recognitions for his contributions to AI, computational research, and cybersecurity. One of his most significant honors is the letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, highlighting his cybersecurity expertise. He has also published 10+ research papers in prestigious SCI and Scopus-indexed journals, demonstrating his strong academic research impact. His contributions to education and knowledge dissemination are reflected in his 8 books on AI, computational techniques, and scientific research. Additionally, he has published over 12,000 datasets, significantly aiding the research community in data-driven studies. Nitiraj has also collaborated with renowned scientists like Dr. Jagadish V. Tawade and has a patent under review, showcasing his innovation potential. His recognitions reflect his dedication to AI, cybersecurity, computational mechanics, and scientific research, positioning him as a strong candidate for the Young Scientist Award.

Conclusion

Nitiraj V. Kulkarni is an exceptional young researcher with a strong foundation in Artificial Intelligence, Data Science, and Computational Fluid Mechanics. His contributions to scientific research, cybersecurity, and AI-driven engineering solutions set him apart as an emerging leader in these fields. Through 10+ research papers, 8 books, a patent application, and over 12,000 datasets, he has demonstrated an impressive commitment to knowledge dissemination and innovation. His research has practical applications, as seen in his MSRTC cybersecurity recognition, proving his ability to solve real-world technological challenges. Nitiraj’s ability to integrate AI with computational mechanics, cybersecurity, and industry applications showcases his multidisciplinary expertise. With continued research, global collaborations, and industry engagement, he has the potential to make groundbreaking contributions to AI, fluid mechanics, and engineering applications. His achievements and dedication to innovation make him a deserving candidate for the Young Scientist Award, and a future leader in scientific research.

Publications Top Notes

  1. Effect of Williamson Nanofluid Across an Exponentially Stretched Sheet with Chemical Reaction Under the Influence of Joules Heating
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, F. Yuldashev, M. Gupta, …
    2025

  2. Thermo-fluid dynamics of non-Newtonian Casson fluid in expanding-contracting channels with Joule heating and variable thermal properties
    S. Rafiq, B.A. Bilal, A. Afzal, J.V. Tawade, N.V. Kulkarni, B. Abdullaeva, …
    2025

  3. Numerical solutions for unsteady laminar boundary layer flow and heat transfer over a horizontal sheet with radiation and nonuniform heat source/sink
    M. Diwate, J.V. Tawade, P.G. Janthe, M. Garayev, M. El-Meligy, N. Kulkarni, …
    2024

  4. Heat transfer mechanism for Newtonian and non-Newtonian Casson hybrid nanofluid subject to thermophoresis and Brownian motion over a movable wedge surface
    S. Swami, S. Biradar, M.Q. Gubari, S.P. Samrat, J.V. Tawade, N. Kulkarni, …
    2025

  5. Thermoelectric energy harvesting from geothermal micro-seepage
    N. Kulkarni, M. Al-Dossari, J. Tawade, A. Alqahtani, M.I. Khan, B. Abdullaeva, …
    2024

  6. Soret and nonuniform heat source/sink effects in micropolar nanofluid flow over an inclined stretching sheet
    M. Diwate, P.G. Janthe, N. Kulkarni, S. Sunitha, J.V. Tawade, N. Nazarova, …
    2025

  7. Optimizing nanoparticle dispersion and heat transfer in Williamson nanofluids under magnetic influence
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, B.S. Abdullaeva, D.M. Khidhir, …
    2025

  8. Optimizing Ibrutinib bioavailability: Formulation and assessment of hydroxypropyl-β-cyclodextrin-based nanosponge delivery systems
    S. Sampathi, N. Kulkarni, D. Bhikshapathi, J.V. Tawade, N. Tarakaramu, …
    2025

  9. Thermal and solutal performance analysis featuring fully developed chemically reacting micro-rotational convective flow in an open-ended vertical channel
    G.T. Gitte, S. Kalyan, H. Saraswathi, V. Kulkarni, M. Jameel, J.V. Tawade, …
    2025

  10. Effects of exponentially stretching sheet for MHD Williamson nanofluid with chemical reaction and thermal radiative
    S.P. Pallavi, M.B. Veena, J.V. Tawade, N. Kulkarni, S.U. Khan, M. Waqas, …
    2024

Nacira Agram | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1
  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024

Elkhateeb Aly | Mathematics | Best Researcher Award

Assoc. Prof. Dr Elkhateeb Aly | Mathematics | Best Researcher Award

Faculty of Science at Jazan University, Saudi Arabia

Dr. Elkhateeb Sobhy Aly Elgarieb, an assistant professor in the Department of Mathematical Sciences at Jazan University, has made significant contributions to applied mathematics. His research spans several specialized fields such as stochastic systems, chaos theory, and bifurcation analysis, with a strong focus on fractional differential equations and nonlinear dynamics. He holds a Ph.D. in Applied Mathematics from Mansoura University and has extensive teaching experience at multiple universities, including Al Azhar University and Mansoura University in Egypt, as well as Jazan University in Saudi Arabia. Dr. Elkhateeb’s publications have garnered significant attention in the global academic community, contributing to both theoretical advancements and practical applications of mathematical concepts. His work, published in well-regarded journals like Fractal and Fractional and Mathematical Problems in Engineering, is influential in the field of applied mathematics and continues to inspire ongoing research. Throughout his academic career, he has also actively participated in peer reviews for scientific journals, further solidifying his reputation as a key contributor to the mathematics community.

Professional Profile

Education:

Dr. Elkhateeb Sobhy Aly Elgarieb completed his Bachelor of Science in Mathematics at Mansoura University in 2000, where he furthered his academic journey through pre-masters and master’s studies in pure mathematics. His pursuit of academic excellence led him to earn a Ph.D. in Applied Mathematics from Mansoura University in 2013. The depth of his education provided a strong foundation for his subsequent research endeavors. Dr. Elkhateeb’s advanced studies have not only shaped his professional career but have also positioned him as an expert in applied and theoretical mathematics. He remains connected to his alma mater and other institutions, contributing to the academic development of students and engaging in rigorous research that bridges mathematical theory with real-world applications. His academic qualifications highlight his dedication to pursuing knowledge and understanding in complex mathematical fields, making him a recognized figure in mathematical research.

Professional Experience:

Dr. Elkhateeb Sobhy Aly Elgarieb has extensive professional experience in both teaching and research within the field of mathematics. He has been an assistant professor in the Department of Mathematical Sciences at Jazan University since 2013, where he has contributed to teaching, research, and academic leadership. In addition to his role at Jazan University, he has served as a lecturer at Al Azhar University, one of Egypt’s oldest and most prestigious institutions, since 2005. His academic career spans nearly two decades, during which he has provided significant contributions to the development of mathematical curricula and research programs. Dr. Elkhateeb’s early professional experience includes research scholarships at Mansoura University’s Faculty of Science, where he developed a deep understanding of advanced mathematical theories. His diverse professional experience across multiple academic institutions in Egypt and Saudi Arabia reflects his commitment to both education and groundbreaking research, positioning him as an influential figure in the global academic community.

Research Interests:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research interests primarily focus on applied mathematics, with a special emphasis on stochastic systems, chaos theory, and bifurcation analysis. His work explores the dynamics of fractional differential equations, particularly those driven by stochastic processes, and the behavior of nonlinear dynamical systems. He has made notable contributions to the study of chaotic systems and their control, employing methods such as the Riccati equation and bifurcation theory to analyze system stability. His research also extends to the field of fractional calculus, where he investigates the analytical solutions to fractional differential equations in diverse applications. Dr. Elkhateeb is also deeply involved in studying mathematical phenomena in complex systems, such as biological systems, and has worked on the interaction between different mathematical models, including predator-prey dynamics. By delving into these interdisciplinary areas, his research aims to provide deeper insights into the mathematical underpinnings of physical and biological processes.

Research Skills:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research skills are rooted in advanced mathematical modeling, analytical techniques, and numerical simulations. He is proficient in solving complex mathematical equations, particularly fractional differential equations, using both analytical and numerical methods. His expertise in chaos theory and bifurcation analysis has led to novel insights in the behavior of nonlinear systems, and he employs methods such as the Riccati equation to derive analytical solutions. Dr. Elkhateeb is skilled in applying mathematical principles to real-world phenomena, such as the dynamics of biological systems and ecological models, where he uses stochastic methods to model uncertainty and randomness. His ability to integrate diverse mathematical techniques has made him a valuable researcher in applied mathematics. In addition, his experience in peer review and collaboration with other researchers highlights his strong communication skills and commitment to academic excellence. His interdisciplinary approach to problem-solving, combining mathematical theory with practical applications, makes him a sought-after contributor to international research.

Awards and Honors:

While Dr. Elkhateeb Sobhy Aly Elgarieb has not listed specific awards in his profile, his extensive research publication record and ongoing academic career are indicative of recognition within the academic and research communities. His work on chaotic systems, bifurcation analysis, and fractional calculus has earned him a reputation as a leading researcher in applied mathematics. Dr. Elkhateeb’s contributions to scientific journals such as Fractal and Fractional, Mathematical Problems in Engineering, and Engineering Computations suggest that his work is highly regarded by peers and scholars in the field. Additionally, his role as a reviewer for prestigious journals further underscores the recognition of his expertise and scholarly impact. His sustained academic success and research achievements, combined with his active involvement in the academic community, point to a career marked by ongoing contributions to mathematical science and education.

Conclusion:

Dr. Elkhateeb Sobhy Aly Elgarieb is a distinguished academic and researcher in the field of applied mathematics, with an impressive body of work focused on stochastic systems, chaos theory, and bifurcation analysis. His contributions to fractional calculus and nonlinear dynamics have garnered international recognition, establishing him as a leading figure in the mathematics community. His academic journey, from his Bachelor’s degree to his Ph.D. in Applied Mathematics, has been marked by a continuous pursuit of knowledge and innovation. Dr. Elkhateeb’s teaching career at esteemed institutions such as Jazan University and Al Azhar University showcases his commitment to fostering the next generation of mathematicians. His research skills, encompassing both analytical and numerical methods, have enabled him to make significant advances in his field. While his awards may not be explicitly listed, his ongoing research, peer reviews, and collaborations indicate that his contributions are widely respected. In conclusion, Dr. Elkhateeb’s academic achievements, research innovations, and dedication to mathematics make him a key figure in his field, and his future work promises continued advancements in applied mathematics and interdisciplinary research.

Publication Top Notes

  1. Density-Dependent Mortality of the Diving Beetle, Rhantus elevatus (Dytiscidae: Coleoptera) Preyed Upon Culex pipiens Larvae: Effects of Prey and Predator Densities
    • Authors: Rashed, A.A., Aly, E.S., Mashlawi, A.M., Bayoumy, M.H.
    • Year: 2025
  2. A Novel Approach on the Sequential Type ψ-Hilfer Pantograph Fractional Differential Equation with Boundary Conditions
    • Authors: Aly, E.S., Maheswari, M.L., Shri, K.S.K., Hamali, W.
    • Year: 2024
  3. Erratum: Correction to: Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
  4. Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
    • Citations: 2
  5. Weighted Fejér, Hermite–Hadamard, and Trapezium-Type Inequalities for (h1,h2–Godunova–Levin Preinvex Function with Applications and Two Open Problems
    • Authors: Ahmadini, A.A.H., Afzal, W., Abbas, M., Aly, E.S.
    • Year: 2024
    • Citations: 9
  6. Modeling Monkeypox Virus Transmission: Stability Analysis and Comparison of Analytical Techniques
    • Authors: Aly, E.S., Singh, M., Aiyashi, M.A., Albalwi, M.D.
    • Year: 2024
  7. Criteria of Existence and Stability of an N-Coupled System of Generalized Sturm-Liouville Equations with a Modified ABC Fractional Derivative and an Application to the SEIR Influenza Epidemic Model
    • Authors: Aly, E.S., Almalahi, M.A., Aldwoah, K.A., Shah, K.
    • Year: 2024
    • Citations: 1
  8. Some New Generalizations of Reversed Minkowski’s Inequality for Several Functions via Time Scales
    • Authors: Aly, E.S., Saied, A.I., Ibedou, I., Algolam, M.S., Mohammed, W.W.
    • Year: 2024
  9. Some Dynamic Hardy-Type Inequalities with Negative Parameters on Time Scales Nabla Calculus
    • Authors: Aly, E.S., Madani, Y.A., Gassem, F., Rezk, H.M., Mohammed, W.W.
    • Year: 2024
    • Citations: 3
  10. N-Dimension for Dynamic Generalized Inequalities of Hölder and Minkowski Type on Diamond Alpha Time Scales
  • Authors: Aly, E.S., Mahnashi, A.M., Zaagan, A.A., Saied, A.I., Mohammed, W.W.
  • Year: 2024
  • Citations: 1