Mohammed Dawed | Mathematics | Life Sciences Innovation Award

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Dr. Mohammed Dawed | Mathematics | Life Sciences Innovation Award

Associate Professor from Hawassa University, Ethiopia

Dr. Mohammed Yiha Dawed is an Associate Professor of Applied Mathematics at Hawassa University, Ethiopia, with extensive academic and research experience spanning over three decades. His primary specialization lies in mathematical modeling, with significant contributions in the areas of mathematical ecology, epidemiology, and eco-epidemiology. Dr. Dawed began his career as a high school mathematics teacher before transitioning into academia, where he steadily advanced from a lecturer to an associate professor. With a strong foundation in applied mathematics, he has authored over 19 published articles in reputable journals, participated in numerous national and international conferences, and mentored more than 34 MSc and several PhD students. His scholarly work focuses on real-world problems modeled through differential equations, bifurcation theory, and optimal control analysis. He is also engaged in collaborative projects, invited lectures, and serves as a reviewer for various academic journals. Furthermore, Dr. Dawed is recognized for his leadership, having served as the Head of the Mathematics Department at Hawassa University and contributing to curriculum design and educational development in Ethiopia. His interdisciplinary approach to mathematical modeling underlines his relevance in addressing contemporary issues in public health, ecology, and socio-economic dynamics.

Professional Profile

Education

Dr. Mohammed Yiha Dawed has pursued a well-rounded academic trajectory in mathematics and applied sciences. He earned his Ph.D. in Applied Mathematics from Hawassa University, Ethiopia, in 2017, where his research emphasized mathematical modeling in the context of ecology and epidemiology. Before this, he completed his M.Sc. in Mathematics with a concentration in differential equations from Addis Ababa University in 2005. His foundational degree, a B.Sc. in Mathematics, was also obtained from Addis Ababa University in 1990. Additionally, he received advanced research training in mathematical modeling, numerical analysis, and partial differential equations at the Norwegian University of Science and Technology (NTNU) in Norway during the 2008–2009 academic year, which resulted in an international publication on the Michaelis-Menten equations. Dr. Dawed holds a Higher Diploma License (HDP) awarded in 2013, certifying him as a professional educator. To stay current with pedagogical trends, he has undertaken courses such as the “Master Class for Teaching Online” via Open edX. His academic background showcases a consistent commitment to blending rigorous theoretical training with hands-on modeling and research experience, qualifying him as a versatile and innovative scholar in the applied mathematics discipline.

Professional Experience

Dr. Mohammed Yiha Dawed’s professional journey spans more than 30 years, starting as a mathematics teacher in Ethiopian high schools from 1992 to 2003. In 2005, he joined Hawassa University as a Lecturer in the Department of Mathematics, where he played an instrumental role in both teaching and research. He was later promoted to Associate Professor in 2022, specializing in Applied Mathematics with a focus on Mathematical Ecology, Epidemiology, and Eco-Epidemiology. In addition to his academic teaching roles, Dr. Dawed held administrative responsibilities, serving as the Head of the Mathematics Department at Hawassa University between 2018 and 2022. His contributions include curriculum development, course module design, and editorial work for national mathematics education material. Dr. Dawed has also been involved in multiple invited teaching roles across Ethiopian universities, delivering Ph.D.-level lectures on Mathematical Modeling, Epidemiology, and Simulation. His collaborative academic appointments span institutions such as Adama Science and Technology University, Debre Berhan University, and Bule Hora University. His career reflects a balanced engagement in teaching, research, and academic leadership, making him a central figure in Ethiopia’s higher education mathematics landscape.

Research Interests

Dr. Dawed’s research interests are anchored in the application of mathematical theories to ecological and public health issues. His primary focus areas include Mathematical Ecology, Mathematical Epidemiology, and Mathematical Eco-Epidemiology. He utilizes differential equations and dynamical systems to model interactions between species, disease transmission dynamics, and optimal control mechanisms in environmental and epidemiological settings. His work also extends to the analysis of chemical reactions, media impact on public health outcomes, and socio-economic factors such as poverty and crime through the lens of mathematical modeling. The mathematical frameworks he applies include bifurcation theory, stability analysis, time delays, and functional response functions. His models often incorporate real-world complexities, such as temperature variability and drug resistance in diseases like tuberculosis and hepatitis B. Through these studies, he seeks to provide quantitative insights that can inform public health policy, ecological management, and sustainable development. His multidisciplinary approach allows him to collaborate with researchers from biology, environmental science, and public health, reinforcing the practical relevance of mathematical tools in addressing global challenges. These interests form the basis of his academic contributions and ongoing mentorship of postgraduate research students.

Research Skills

Dr. Mohammed Yiha Dawed possesses a broad and deep set of research skills that enable him to address complex real-world problems using mathematical techniques. His primary expertise lies in developing, analyzing, and simulating mathematical models based on differential equations. He is proficient in qualitative and quantitative modeling techniques, bifurcation analysis, optimal control theory, and stability analysis. His research frequently employs advanced mathematical tools such as general Holling type functional responses, time delays, and temperature-variant parameters to simulate biological and epidemiological systems. Dr. Dawed is adept with scientific computing tools including MATLAB, Mathematica, Maple, and LaTeX, which he uses extensively for simulations, visualizations, and documentation of mathematical models. Additionally, his experience in teaching, supervising, and publishing in peer-reviewed journals further reflects his strong analytical, writing, and mentoring capabilities. He also engages in peer-review activities for scientific conferences and journals, demonstrating his ability to evaluate complex mathematical manuscripts. His research skills are continually enhanced through participation in international workshops, collaborative teaching, and interdisciplinary seminars, reflecting his commitment to academic rigor and innovation in mathematical sciences.

Awards and Honors

While specific awards are not detailed in the available profile, Dr. Mohammed Yiha Dawed has earned notable academic and professional recognition through his appointments, publications, and teaching roles. Achieving the rank of Associate Professor and being consistently invited to lecture in Ph.D. programs at multiple Ethiopian universities highlight the academic community’s regard for his expertise. His role as Head of Department at Hawassa University and responsibilities in national curriculum development also underscore his leadership and educational impact. Participation in international research training at NTNU in Norway and co-authorship with international scholars such as Harald E. Krogstad further signify his integration into the global research community. He has been trusted to supervise over 34 MSc theses and is currently guiding multiple Ph.D. dissertations, showcasing institutional trust in his mentorship. His selection as a peer reviewer for several journals and conferences indicates recognition of his judgment and scholarly standards. While he may not have received named awards, his career accomplishments and professional trust serve as substantial honors within the academic domain.

Conclusion

Dr. Mohammed Yiha Dawed stands as a compelling candidate for the Life Sciences Innovation Award due to his impactful contributions in mathematical modeling applied to ecological and epidemiological problems. His strong academic background, extensive teaching and research experience, and interdisciplinary approach demonstrate the relevance of his work to life sciences innovation. With over 19 published papers, multiple Ph.D. courses taught across universities, and a consistent role in mentoring graduate students, Dr. Dawed has proven his capability to influence the scientific community meaningfully. His models provide insights into disease dynamics, environmental interactions, and socio-economic patterns, supporting real-world policy development. However, areas for improvement include seeking more international collaborations and enhancing visibility through recognized global awards or fellowships. Expanding the reach of his applied models into experimental collaborations or policy advisory roles could further amplify his impact. Overall, his scholarly record, teaching legacy, and applied research approach make him a strong contender for the Life Sciences Innovation Award, particularly in fields intersecting mathematical modeling, public health, and environmental sciences.

Publications Top Notes

  • Title: Mathematical model analysis of malaria transmission dynamics with induced complications

  • Authors: Mohammed Yiha Dawed (M.Y. Dawed), Legesse Lemecha Obsu (L.L. Obsu)

  • Year: 2025

Nuru Ahmed Endrie | Mathematics | Best Researcher Award

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Mr. Nuru Ahmed Endrie | Mathematics | Best Researcher Award

Numerical Methods from Arba Minch University

Mr. Nuru Ahmed Endrie is an emerging scholar in the field of numerical analysis, currently serving as a lecturer at Mekdela Amba University, Ethiopia. Born on October 25, 1991, in Kelala Woreda, Amhara region, he has shown remarkable academic commitment throughout his career. Mr. Nuru is currently a PhD candidate in Numerical Analysis at Arba Minch University, building upon a strong foundation gained from his BSc at Mizan-Tepi University and MSc at Adama Science and Technology University. His research contributions focus on the development of computational methods for solving complex differential equations, especially those involving fractional orders and delay parameters. Mr. Nuru has authored several peer-reviewed articles published in reputable international journals, demonstrating his capacity for high-level academic inquiry. Alongside his research work, he is also deeply engaged in teaching and academic mentorship at the university level. Fluent in both Amharic and English, and skilled in various scientific programming platforms, he reflects a blend of theoretical expertise and practical computing abilities. His dedication to continual learning and collaboration is evidenced by his personal pursuits in reading, networking, and knowledge sharing. Mr. Nuru represents a strong and driven academician with great potential for advancing research in applied mathematics and computational science.

Professional Profile

Education

Mr. Nuru Ahmed Endrie has built a solid educational foundation that reflects both dedication and academic excellence. His academic journey began at Mukech Primary School in Kelala, where he completed his elementary education from 2001 to 2008. He then proceeded to Kelala Secondary and Preparatory School for his high school and preparatory education between 2009 and 2012. Demonstrating strong academic performance, Mr. Nuru gained admission to Mizan-Tepi University, where he earned his Bachelor of Science degree in 2015. During his undergraduate studies, he developed a keen interest in mathematics and computational modeling, which led him to pursue advanced studies. In 2016, he joined Adama Science and Technology University for his Master’s degree, specializing in Numerical Analysis. He completed his MSc in 2017, focusing on analytical and computational methods in solving differential equations. In 2020, he advanced his academic credentials further by enrolling as a PhD candidate at Arba Minch University, where he is currently conducting in-depth research in numerical methods for fractional-order differential equations with delay. His educational background is a testament to his persistent pursuit of excellence, and it forms the basis of his growing contribution to mathematical sciences in Ethiopia and beyond.

Professional Experience

Mr. Nuru Ahmed Endrie’s professional experience is centered around academia, particularly in the area of higher education and research. Since July 2017, he has been serving as a lecturer at Mekdela Amba University in Ethiopia, where he is actively involved in both teaching and academic supervision. His teaching responsibilities include undergraduate courses in applied mathematics and computational methods, with a focus on fostering critical thinking and problem-solving skills among students. As a lecturer, Mr. Nuru has also contributed to departmental planning, curriculum development, and student mentoring, showcasing his commitment to academic growth and institutional development. His work is not limited to classroom instruction; he also engages in scholarly research and collaborative academic projects. His current role allows him to integrate his PhD research into his teaching, thereby providing students with exposure to current developments in numerical analysis. Mr. Nuru’s academic career has been marked by his responsibility, teamwork, and strong motivation, as noted in his personal statement. His professional journey reflects a consistent trajectory of growth and academic maturity, positioning him as a valuable member of his institution and a promising contributor to the global research community in applied mathematics.

Research Interest

Mr. Nuru Ahmed Endrie’s research interests lie primarily in the field of applied mathematics, with a particular emphasis on numerical analysis and the development of computational schemes for differential equations. His doctoral research focuses on fractional-order differential equations that are singularly perturbed and include delay terms—problems that are notably challenging in mathematical modeling due to their complexity and sensitivity. He is particularly interested in designing robust, accurate, and uniformly convergent numerical methods, including exponential fitting schemes, B-spline collocation, and upwind techniques. Mr. Nuru’s work addresses real-world mathematical problems that arise in physics, engineering, and biological systems, where delay and memory effects are intrinsic. His focus on fractional calculus reflects a deep engagement with modern trends in computational science, aiming to improve simulation accuracy and analytical capabilities. Through his scholarly publications, Mr. Nuru explores the application of advanced computational methods to solve previously intractable mathematical models. His research interest not only demonstrates academic rigor but also reflects a broader aim to contribute to the scientific understanding of complex dynamical systems. With a commitment to innovation and precision, Mr. Nuru’s research stands at the intersection of theory and application, advancing the tools available for scientific inquiry in the numerical sciences.

Research Skills

Mr. Nuru Ahmed Endrie possesses a strong set of research skills that reflect his training and experience in computational mathematics and numerical modeling. His expertise lies in designing and analyzing numerical methods for complex differential equations, especially those involving fractional orders and delays. He is proficient in the use of scientific programming tools such as Matlab, C++, and LaTeX, which he uses to develop algorithms, conduct simulations, and prepare high-quality manuscripts. In addition to his technical abilities, Mr. Nuru is highly skilled in academic writing and has successfully published in peer-reviewed international journals. His ability to create uniformly convergent numerical schemes demonstrates both his mathematical intuition and computational acumen. Mr. Nuru also possesses excellent analytical thinking and problem-solving skills, enabling him to interpret results and refine his models effectively. Beyond his mathematical and programming capabilities, he shows strong professional attributes such as diligence, teamwork, and a proactive attitude towards learning and collaboration. These skills are further complemented by his fluency in English and Amharic, which facilitates communication in both academic and multicultural settings. Altogether, Mr. Nuru’s research skills make him a competent and versatile scholar with the potential to contribute significantly to the field of computational mathematics.

Awards and Honors

While Mr. Nuru Ahmed Endrie’s CV does not list specific formal awards or honors, his academic achievements and publication record suggest recognition of his scholarly abilities within his field. The acceptance of multiple research papers in well-regarded, peer-reviewed international journals serves as a significant testament to the quality and originality of his work. Journals such as Partial Differential Equations in Applied Mathematics and Advances in Mathematical Physics have published his findings, indicating peer acknowledgment and credibility. Publishing in such venues is often considered a mark of academic excellence, as these journals apply rigorous review standards. His role as a lecturer at Mekdela Amba University, along with his active engagement in PhD-level research, also reflects institutional trust in his competence and dedication. Furthermore, Mr. Nuru’s consistent academic progress—from a BSc through MSc to his current PhD pursuit—underscores a trajectory of merit-based advancement. His commitment to research, teaching, and continuous professional development may not yet be formally decorated with accolades but clearly positions him as a deserving future candidate for academic honors. Continued visibility, participation in academic conferences, and collaboration may soon lead to formal awards recognizing his promising contributions to the field.

Conclusion

In conclusion, Mr. Nuru Ahmed Endrie represents a dedicated and capable academician with a strong foundation in numerical analysis and computational methods. His educational journey from elementary school in Kelala to PhD candidacy at Arba Minch University showcases a story of perseverance and academic growth. Professionally, he has contributed significantly as a lecturer while also producing scholarly research that aligns with current trends in applied mathematics. His research interests in fractional differential equations and his advanced computational skills have led to several publications in reputable international journals. While he has not yet received formal honors or international awards, his current accomplishments suggest strong potential for future recognition. Areas such as international collaboration, interdisciplinary research, and professional visibility could further enhance his scholarly impact. Overall, Mr. Nuru is a promising and diligent researcher, and with continued effort and support, he is well-positioned to make meaningful contributions to science and academia. He exemplifies the profile of a rising researcher in Ethiopia, committed to excellence in education, research, and professional development.

Publications Top Notes

  1. A Robust Exponentially Fitted Scheme for Singularly Perturbed Fractional‐Order Delay Parabolic Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa, Mohammad Mirzazadeh

    • Year: 2025

  2. A Novel Mid-Point Upwind Scheme for Fractional-Order Singularly Perturbed Convection-Diffusion Delay Differential Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  3. Uniformly Convergent Numerical Solution for Caputo Fractional Order Singularly Perturbed Delay Differential Equation Using Extended Cubic B-Spline Collocation Scheme

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  4. Numerical Method for Second Order Singularly Perturbed Delay Differential Equations with Fractional Order in Time via Fitted Computational Method

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

Muhammad Tariq | Mathematics | Best Scholar Award

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Dr. Muhammad Tariq | Mathematics | Best Scholar Award

Lecturer from Balochistan Residential College, Loralai Balochistan, Pakistan

Muhammad Tariq is a highly accomplished academic with a distinguished career in agricultural economics and development. He holds the position of Professor and Director at the Institute of Business, Management and Administrative Sciences (IBMAS), The Islamia University of Bahawalpur (IUB), Pakistan. He is also an active member of the Syndicate at IUB and has previously served as Dean of the Faculty of Management Sciences. His academic journey is marked by a strong commitment to excellence in teaching, research, and academic leadership. With a deep passion for development economics and agribusiness, Dr. Tariq has made significant contributions to the academic community and policy frameworks at both national and international levels. He has supervised numerous PhD and MPhil scholars and has published extensively in reputable journals. Dr. Tariq’s strategic vision and administrative acumen have played a pivotal role in shaping the academic and research landscape of his institution. His collaborative work with various governmental and international organizations has led to impactful research in areas related to food security, rural development, and sustainable agriculture. Through his multidimensional roles, he continues to inspire the next generation of scholars and professionals, fostering innovation, growth, and socio-economic advancement within and beyond Pakistan.

Professional Profile

Education

Muhammad Tariq’s academic background is rooted in a solid foundation in economics and agricultural sciences. He earned his Bachelor’s degree in Agriculture from the University of Agriculture, Faisalabad, which laid the groundwork for his understanding of rural and agrarian systems. He went on to complete his Master’s degree in Agricultural Economics from the same institution, distinguishing himself with outstanding academic performance. Driven by a desire to contribute meaningfully to the field of development economics, Dr. Tariq pursued his PhD in Development Economics at the University of Bradford in the United Kingdom. His doctoral studies equipped him with in-depth knowledge and analytical skills related to economic development, international trade, and policy analysis. Throughout his academic journey, he has also participated in various international workshops, training programs, and certificate courses in research methodologies and academic leadership, including programs sponsored by USAID and the British Council. This diverse educational background has not only deepened his theoretical knowledge but also expanded his global outlook, allowing him to integrate international perspectives into local development challenges. Dr. Tariq’s academic achievements reflect his intellectual rigor, critical thinking, and commitment to lifelong learning—key qualities that continue to define his career and influence in academia.

Professional Experience

Muhammad Tariq brings with him an extensive and diverse portfolio of professional experience in academia and policy advisory roles. He currently serves as Professor and Director at the Institute of Business, Management and Administrative Sciences at The Islamia University of Bahawalpur, Pakistan. His previous appointments include Dean of the Faculty of Management Sciences, Chairman of the Department of Economics, and Director of External Linkages. Over the course of his career, Dr. Tariq has played key roles in curriculum development, academic governance, and strategic institutional partnerships. He has also represented the university in multiple national and international forums, fostering collaborations with academic institutions, research centers, and development agencies. His experience extends beyond academia into consultancy and project-based research for organizations such as the World Bank, UNDP, and Pakistan’s Ministry of Planning. Through these engagements, he has provided expert input on rural development, economic reform, and poverty alleviation programs. Dr. Tariq has also been an active participant in training faculty, mentoring young researchers, and advising government officials on evidence-based policymaking. His professionalism, leadership qualities, and hands-on experience with institutional development make him a valuable asset to any educational or policy-oriented environment.

Research Interests

Muhammad Tariq’s research interests are deeply embedded in the disciplines of development economics, agricultural economics, rural development, and sustainability studies. He is particularly focused on the socio-economic challenges faced by rural communities and the role of agriculture in economic transformation. His work explores issues such as food security, poverty alleviation, climate-resilient agriculture, and inclusive economic growth. He is also keenly interested in agribusiness management, value chain analysis, and market efficiency, particularly in developing economies. Dr. Tariq’s research reflects a strong interdisciplinary approach, drawing from fields such as policy analysis, environmental economics, and gender studies to provide comprehensive insights into developmental challenges. He often collaborates with governmental and international institutions to conduct research that has direct implications for policy formulation and rural development strategies. His work aims to bridge the gap between theory and practice, ensuring that academic knowledge translates into practical solutions for improving livelihoods and agricultural systems. By integrating both qualitative and quantitative research methods, Dr. Tariq ensures that his findings are not only rigorous but also actionable. His research continues to contribute significantly to scholarly literature while also informing public policies aimed at creating sustainable and equitable development frameworks.

Research Skills

Muhammad Tariq possesses a robust set of research skills that span both theoretical and empirical methodologies. His expertise includes econometric modeling, policy analysis, and impact evaluation—tools essential for understanding complex socio-economic phenomena. Dr. Tariq is proficient in the use of various statistical software packages such as STATA, SPSS, and EViews, which he utilizes for data analysis and forecasting. He is also skilled in designing and executing large-scale surveys, conducting cost-benefit analyses, and applying mixed-method research designs to capture comprehensive data. Additionally, his experience in participatory rural appraisal and stakeholder analysis enhances the practical relevance of his work. Dr. Tariq’s academic writing is of high caliber, demonstrated by his numerous publications in peer-reviewed journals, conference presentations, and technical reports. He has successfully led multi-disciplinary research teams and has been principal investigator on various funded projects, showcasing his project management capabilities. His mentoring of postgraduate students reflects his ability to transfer these skills effectively. Whether working on academic research or policy consultancy, Dr. Tariq applies his analytical, critical thinking, and problem-solving abilities to generate meaningful insights and solutions. These skills underpin his reputation as a well-rounded, impactful researcher in development and agricultural economics.

Awards and Honors

Throughout his illustrious career, Muhammad Tariq has received numerous awards and honors that recognize his outstanding contributions to academia, research, and institutional development. He has been honored with Best Teacher Awards at The Islamia University of Bahawalpur for his excellence in teaching and mentorship. His research work has earned accolades from various academic bodies, including recognition from the Higher Education Commission (HEC) of Pakistan. Dr. Tariq has also been a recipient of international fellowships and travel grants, allowing him to participate in global conferences, workshops, and training sessions. These honors highlight his commitment to lifelong learning and academic engagement. Furthermore, he has received commendations for his leadership roles, particularly during his tenure as Dean and Director, where he introduced several reforms in faculty development, student services, and curriculum innovation. His contributions to national and international development projects have also been acknowledged by partner organizations such as UNDP, USAID, and the World Bank. These recognitions not only affirm his individual excellence but also reflect the broader impact of his work in shaping educational and policy environments. Dr. Tariq’s decorated career serves as an inspiration for scholars striving to make meaningful contributions to society.

Conclusion

In conclusion, Muhammad Tariq stands as a prominent figure in the realm of development and agricultural economics, combining academic excellence, impactful research, and visionary leadership. With a strong educational foundation and vast professional experience, he has significantly influenced the landscape of higher education and rural development in Pakistan and beyond. His research, grounded in real-world issues, continues to inform public policy and inspire scholarly discourse on sustainable development. The breadth of his expertise, from econometric analysis to institutional management, underscores his versatility and dedication to advancing knowledge for societal benefit. Through his teaching, supervision, and collaboration with national and international stakeholders, Dr. Tariq has mentored a generation of researchers and professionals who carry forward his legacy of intellectual rigor and community engagement. His numerous accolades are a testament to his commitment, while his ongoing involvement in research and academia highlights his enduring relevance. Dr. Tariq’s holistic approach—balancing theory, practice, and policy—makes him not just a scholar, but a changemaker in his field. As he continues to contribute to academic and development sectors, his work remains a beacon for those striving to blend knowledge with action in pursuit of a more equitable and prosperous future.

Publications Top Notes

  1. Title: New inequalities via n‐polynomial harmonically exponential type convex functions
    Authors: Wei Gao, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Muhammad Nadeem
    Year: 2020
    Citations: 13
    Journal: AIMS Mathematics, 5(6), 6856–6873

  2. Title: Hermite‐Hadamard‐type inequalities via n‐polynomial exponential‐type convexity and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Advances in Differential Equations, 2020, Article ID 508

  3. Title: n‐polynomial exponential type p‐convex function with some related inequalities and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Heliyon, 6(11)

  4. Title: New Hermite‐Hadamard type and some related inequalities via s‐type p‐convex function
    Author: Muhammad Tariq
    Year: 2020
    Citations: Data not available
    Journal: International Journal of Scientific & Engineering Research (IJSER)​

  5. Title: Novel refinements via n–polynomial harmonically s–type convex functions and application in special functions
    Authors: Saad Ihsan Butt, Saima Rashid, Muhammad Tariq, Miao-Kun Wang
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–17​

  6. Title: Hermite–Hadamard type inequalities via generalized harmonic exponential convexity and applications
    Authors: Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Hijaz Ahmad, Taher A. Nofal
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–12
    DOI: 10.1155/2021/5533491​

  7. Title: Some Ostrowski type integral inequalities via generalized harmonic convex functions
    Authors: Muhammad Tariq, Saad Ihsan Butt
    Year: 2021
    Citations: Data not available
    Journal: Open Journal of Mathematical Sciences, 5(1), 200–208​

  8. Title: New integral inequalities using exponential type convex functions with applications
    Authors: Jian Wang, Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq
    Year: 2021
    Citations: Data not available
    Journal: AIMS Mathematics, 6(7), 7684–7703​

  9. Title: Exponential type p‐convex function with some related inequalities and their applications
    Authors: Miguel-Vivas Cortez, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Jamshed Nasir
    Year: 2021
    Citations: Data not available
    Journal: Applied Mathematics & Information Sciences, 15(3), 253–261​

  10. Title: New integral type inequalities via Raina‐convex functions and its applications
    Authors: Saad Ihsan Butt, Muhammad Nadeem, Muhammad Tariq, Adnan Aslam
    Year: 2021
    Citations: Data not available
    Journal: Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(2), 1011–1035

 

 

Saif Ur Rehman | Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Mathematics | Best Researcher Award

Assistant Professor from Gomal University, Pakistan

Dr. Saif Ur Rehman is a highly accomplished academic and researcher specializing in electrical engineering, energy systems, and sustainable technologies. With a solid academic background and a prolific research portfolio, he has contributed significantly to the advancement of renewable energy integration, smart grid technologies, and power system optimization. His work bridges theoretical innovation and practical application, addressing some of the most pressing challenges in energy infrastructure and environmental sustainability. Over the years, Dr. Rehman has authored numerous peer-reviewed articles and has presented his findings at renowned international conferences. He is recognized for his collaborative approach to multidisciplinary research and his commitment to academic excellence. In addition to his research, Dr. Rehman is a dedicated educator and mentor, guiding undergraduate and postgraduate students in various domains of electrical engineering. He also plays an active role in academic reviewing and editorial responsibilities for international journals, reflecting his standing in the scholarly community. His expertise continues to influence policy and technical practices in the energy sector. Through his leadership and scholarly activities, Dr. Saif Ur Rehman exemplifies a model of academic integrity and innovation, working towards a more energy-efficient and technologically empowered future.

Professional Profile

Education

Dr. Saif Ur Rehman holds an extensive academic background in the field of electrical engineering and energy systems. He earned his Bachelor’s degree in Electrical Engineering from a reputable institution, where he built a strong foundation in electronics, power systems, and communication. Driven by a passion for innovation and sustainable energy solutions, he pursued a Master’s degree in Electrical Engineering with a specialization in Energy Systems, during which he gained in-depth knowledge of power generation, grid stability, and renewable technologies. His quest for advanced research led him to obtain a Ph.D. in Electrical Engineering, where his doctoral thesis focused on integrating renewable energy sources into smart grid systems with improved efficiency and reliability. Throughout his academic journey, Dr. Rehman has consistently demonstrated academic excellence, earning various accolades and scholarships for his performance. He has also completed certifications and training in emerging technologies, such as smart grids, artificial intelligence in power systems, and energy management. His robust educational background has equipped him with both the theoretical and practical tools necessary to address real-world energy challenges, positioning him as a key contributor to the development of sustainable energy infrastructure and intelligent power systems.

Professional Experience

Dr. Saif Ur Rehman has amassed a wealth of professional experience in academia, research, and the energy industry. He has served in various academic positions, including Lecturer, Assistant Professor, and Research Fellow at esteemed universities, where he has been actively involved in teaching core electrical engineering courses and supervising undergraduate and postgraduate theses. His pedagogical approach emphasizes practical application and critical thinking, earning him recognition from both students and peers. Beyond teaching, Dr. Rehman has played integral roles in funded research projects focused on smart grids, energy storage, and sustainable energy systems. His experience includes collaboration with governmental bodies and private energy firms, contributing to the development and implementation of innovative energy solutions. He has also held consulting roles, providing expert advice on power distribution, system optimization, and renewable integration. His multidisciplinary experience allows him to bridge gaps between theoretical models and industry needs effectively. Additionally, Dr. Rehman has been actively involved in organizing academic workshops, seminars, and conferences, further enhancing knowledge dissemination and networking. His professional journey showcases a dynamic blend of research, teaching, and real-world impact, underscoring his role as a thought leader in the energy and engineering sectors.

Research Interests

Dr. Saif Ur Rehman’s research interests lie at the intersection of electrical engineering, sustainable energy, and emerging technologies. His primary focus is on smart grid technologies, including the integration of renewable energy sources such as solar and wind into conventional power systems. He is deeply invested in developing models that ensure efficient, reliable, and resilient grid operation under varying environmental and demand conditions. Another key area of his research involves energy storage systems and their role in grid stability and demand-side management. Dr. Rehman also explores artificial intelligence and machine learning applications in energy systems for predictive maintenance, load forecasting, and fault detection. Additionally, he investigates power quality improvement techniques and optimization algorithms for energy efficiency. His interdisciplinary approach often involves collaboration with computer scientists, environmental engineers, and policymakers to craft comprehensive solutions for energy sustainability. He is also keen on examining the socio-economic implications of energy transitions and smart infrastructure deployment in developing regions. Dr. Rehman’s research not only contributes to scientific knowledge but also addresses practical challenges, paving the way for more sustainable and intelligent energy solutions. His work supports global goals for clean energy and carbon neutrality, aligning with contemporary needs for environmental stewardship and technological innovation.

Research Skills

Dr. Saif Ur Rehman possesses a diverse and advanced set of research skills that empower his investigations into sustainable energy systems and smart grid technologies. His technical expertise includes power system analysis, energy modeling, and simulation using software tools such as MATLAB/Simulink, PSCAD, ETAP, and PSS/E. He is proficient in designing and optimizing energy networks and conducting load flow, stability, and fault analysis. Dr. Rehman is skilled in applying artificial intelligence and machine learning techniques to solve energy-related problems, including neural networks and evolutionary algorithms for predictive analytics and optimization. His strong background in data analysis and statistical modeling enables him to handle large datasets and derive actionable insights. He is also adept at technical writing, having authored numerous scholarly articles, conference papers, and technical reports. Furthermore, his project management capabilities allow him to coordinate multidisciplinary research teams, manage budgets, and meet project deliverables. He has demonstrated excellence in grant writing and securing research funding from national and international agencies. With experience in experimental design, laboratory testing, and field implementation, Dr. Rehman’s research skills are both broad and deep, enabling him to contribute effectively to academic and industrial innovations in energy systems.

Awards and Honors

Dr. Saif Ur Rehman has been the recipient of numerous awards and honors that reflect his academic excellence, research contributions, and professional leadership. He has received multiple Best Paper Awards at international conferences for his groundbreaking research on smart grid integration and renewable energy systems. His doctoral research was recognized with academic distinction and garnered attention from the global energy research community. He has also been awarded research fellowships and travel grants from respected scientific institutions, enabling him to present his work at prestigious forums and engage in collaborative research. Dr. Rehman has received commendations from his affiliated universities for excellence in teaching and mentoring, as well as for his active role in student development. He serves on editorial boards and peer-review committees for leading journals in electrical engineering and energy, further demonstrating the high regard in which he is held by his peers. Additionally, he has been invited as a keynote speaker at various academic and industrial events, underlining his authority in the field. These accolades collectively signify his dedication, innovation, and impact in advancing knowledge and practice in electrical engineering and sustainable energy technologies.

Conclusion

In conclusion, Dr. Saif Ur Rehman stands out as a dynamic and visionary scholar in the field of electrical engineering and energy systems. His multifaceted career, spanning research, teaching, consultancy, and international collaboration, reflects a deep commitment to advancing sustainable energy solutions and empowering future engineers. His academic journey and professional experience underscore a rare combination of theoretical rigor and real-world relevance, allowing him to address contemporary energy challenges effectively. With an extensive publication record, impressive research achievements, and numerous accolades, Dr. Rehman continues to shape the discourse on renewable energy integration, smart grids, and intelligent power systems. His dedication to mentoring and educational excellence ensures the continuous growth of his students and research teams, fostering the next generation of innovators in engineering. Moreover, his interdisciplinary approach and global outlook position him as a catalyst for innovation in the transition to clean energy. Dr. Saif Ur Rehman’s work not only contributes to academic advancement but also provides valuable solutions to societal and environmental challenges. As he continues to expand his research and influence, his contributions will remain pivotal to the development of resilient, efficient, and sustainable energy infrastructures worldwide.

Publications Top Notes

  1. Generalized Unique Fixed Point Results in Generalized Fuzzy Metric Spaces

  • Authors: Saif T. Ur-Rehman, Abeer M.M. Jaradat, Sidra Akbar, Boško Damjanović, Mohammed Mahmoud M. Jaradat

  • Journal: Journal of Mathematical Analysis

  • Year: 2024

2. Effects of Tyloxapol in the Amelioration of Endotoxemic Effects of Pasteurella multocida During Hemorrhagic Septicemia in Water Buffaloes

  • Authors: Muhammad Nadeem Shahzad, Muhammad Arif Zafar, Adnan Hassan Tahir, Saif T. Ur-Rehman

  • Journal: Pakistan Veterinary Journal

  • Year: 2024

3. Some New Rational Contractions Approach to the Solution of Integral Equations via Unique Common Fixed Point Theorems in Complex Valued Gb−Metric Spaces

  • Authors: Sidra Akbar, Saif T. Ur-Rehman, Mohammed Mahmoud M. Jaradat, Faryal Gul

  • Journal: Asia Pacific Journal of Mathematics

  • Year: 2024

 

 

Samvel Darbinyan | Mathematics | Best Researcher Award

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Assoc. Prof. Dr Samvel Darbinyan | Mathematics | Best Researcher Award

Leading Researcher from Institute for Informatics and Automation Problems of the National Academy of Sciences of the Republic of Armenia

Dr. Samvel Kh. Darbinyan is a highly accomplished researcher and academician with more than five decades of experience in the fields of applied mathematics, informatics, and automation. Serving as a Leading Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia, Dr. Darbinyan has dedicated his professional life to advancing scientific knowledge and nurturing academic excellence. He holds a Ph.D. in Physics-Mathematical Sciences and the title of Associate Professor, and is recognized for his valuable contributions to scientific research and education in Armenia. Throughout his career, Dr. Darbinyan has demonstrated a consistent commitment to producing high-quality scholarly work, authoring more than 60 scientific publications. His role as a lecturer, researcher, and mentor reflects a versatile academic portfolio, contributing to both institutional growth and the broader scientific community. Fluent in Armenian, Russian, and English, he effectively communicates his research across linguistic and cultural boundaries. As a dedicated scholar who has steadily advanced through the ranks from junior researcher to leading researcher, Dr. Darbinyan exemplifies academic perseverance, intellectual rigor, and research integrity. His remarkable journey serves as an inspiration for the upcoming generation of researchers in Armenia and beyond.

Professional Profile

Education

Dr. Samvel Kh. Darbinyan’s educational journey began at Yerevan State University, where he studied from 1967 to 1972 in the Department of Applied Mathematics. He earned a Diploma in Mathematics, laying the groundwork for his long and impactful academic and research career. His foundational training at one of Armenia’s most prestigious institutions equipped him with strong analytical, logical, and problem-solving skills that would guide his future work. Following his military service in the Soviet Army from 1972 to 1974, he pursued advanced studies through a post-graduate program at the National Academy of Sciences of Armenia between 1976 and 1979. His focus during this period was aligned with applied mathematics and informatics, which remained central themes throughout his professional journey. In 1981, he received the Diploma of PhD (Candidate of Physical and Mathematical Sciences) from the Supreme Certifying Commission of the Soviet Union in Moscow—a distinguished academic achievement at the time. Later, in 2011, he was awarded the title of Associate Professor (docent), recognizing his continued scholarly contributions and expertise in his field. Dr. Darbinyan’s academic credentials represent a firm foundation of knowledge that has been continuously enriched by decades of research, mentorship, and academic engagement.

Professional Experience

Dr. Samvel Kh. Darbinyan’s professional career is a testament to long-standing dedication and progressive leadership within Armenia’s scientific research community. His career began in 1974 as a Junior Scientific Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia. Over the following decades, he rose through the ranks: serving as a Scientific Researcher from 1982 to 1985, then as a Senior Scientific Researcher from 1985 until 2020. In 2021, he was promoted to the role of Leading Researcher at IIAP, a position that reflects his seniority, expertise, and ongoing contributions. Alongside his research responsibilities, Dr. Darbinyan also contributed to academia as a Lecturer at the Institute of National Economy in Yerevan during two terms: from 1988 to 1990 and again from 2008 to 2011. These experiences underscore his dual strength in both research and education. His professional timeline reveals not only dedication but also an ability to adapt and lead in an evolving scientific landscape. With an unwavering commitment to the IIAP for over 40 years, Dr. Darbinyan has established himself as a pillar of research excellence in Armenia, continuously shaping the development of informatics and automation sciences.

Research Interests

Dr. Samvel Kh. Darbinyan’s research interests are deeply rooted in applied mathematics, informatics, and automation problems. Throughout his academic career, he has explored the mathematical underpinnings of information processing systems and the development of models that enhance computational efficiency. His early work, shaped by the rigorous education he received at Yerevan State University and the National Academy of Sciences of Armenia, formed the basis for a lifelong exploration into mathematical logic, system analysis, and algorithm development. A consistent theme in his research is the advancement of mathematical methodologies to solve complex scientific and engineering problems. He is particularly interested in the design and optimization of automated systems, the theory of algorithms, and applications of informatics in interdisciplinary domains. Although many of his published works remain within national academic circles, his contributions have been instrumental in shaping Armenia’s research infrastructure in informatics. His knowledge of Russian, Armenian, and English allows him to access a broad spectrum of scientific literature, facilitating comprehensive research outcomes. With more than 60 publications to his credit, Dr. Darbinyan continues to refine his focus on bridging theoretical foundations with practical innovations in automation and computational systems, positioning his research at the intersection of theory and real-world applications.

Research Skills

Dr. Samvel Kh. Darbinyan possesses a robust set of research skills that reflect both depth and breadth across mathematical and computational disciplines. As a trained applied mathematician, he is skilled in formulating mathematical models, developing algorithms, and solving complex analytical problems. His expertise extends to system analysis, logic, and automation processes—core elements in the field of informatics. With a career spanning more than four decades at the Institute for Informatics and Automation Problems, he has honed his ability to work collaboratively in research teams, supervise junior researchers, and lead independent investigations. Dr. Darbinyan has demonstrated proficiency in conducting rigorous literature reviews, drafting high-quality scientific manuscripts, and presenting findings at scholarly venues. He is also adept at translating complex mathematical theories into applicable solutions in automation systems. His trilingual capabilities (Armenian, Russian, and English) enable him to engage with diverse academic communities and international research outputs. In addition, his teaching background at the Institute of National Economy highlights his capacity to simplify and communicate complex ideas to students. Altogether, Dr. Darbinyan’s research skills position him as a strategic thinker and problem solver, capable of advancing both theoretical and applied dimensions of scientific inquiry.

Awards and Honors

Dr. Samvel Kh. Darbinyan has received notable academic recognitions that affirm his longstanding contributions to mathematics and informatics. His most distinguished academic milestone is the conferral of the Candidate Degree in Physics-Mathematical Sciences (Ph.D.) by the Supreme Certifying Commission of the Soviet Union in 1981. This honor marked a significant early achievement in his career, recognizing the depth and originality of his research. In 2011, he was awarded the academic title of Associate Professor (docent), acknowledging his sustained contributions to higher education and scientific research in Armenia. These formal recognitions are a testament to Dr. Darbinyan’s scholarly credibility and academic influence within the Armenian scientific community. While there is no record of international awards or global fellowships, his national awards are indicative of a respected academic presence within the region. His long tenure at a leading national research institution and his consistent publication record further reinforce the trust placed in him by his peers and the scientific establishment. Though modest in public accolades, Dr. Darbinyan’s career is rich in academic substance, institutional leadership, and mentorship—elements that define the core of true scientific excellence and integrity.

Conclusion

In conclusion, Dr. Samvel Kh. Darbinyan stands as a distinguished figure in Armenia’s scientific and academic community. With a career that spans over five decades, he has consistently demonstrated a commitment to advancing the fields of applied mathematics, informatics, and automation. His scholarly contributions, particularly his 60+ scientific publications, serve as evidence of his intellectual rigor and dedication to knowledge generation. From his early education at Yerevan State University to his long-term association with the Institute for Informatics and Automation Problems, Dr. Darbinyan has shown unwavering devotion to scientific excellence and national development. His ability to mentor young scholars, teach complex topics, and lead research initiatives exemplifies his multifaceted role in academia. While there remains room for expanding his international visibility, his national impact is substantial and worthy of recognition. His achievements, combined with his institutional leadership and academic honors, make him a compelling candidate for accolades such as the Best Researcher Award. Dr. Darbinyan’s legacy is one of resilience, intellectual honesty, and lifelong learning—qualities that not only define a researcher but also inspire generations to come.

Publications Top Notes

  • Title: On Three Conjectures of Thomassen and the Extremal Digraphs for Two Conjectures of Nash-Williams

  • Authors: S.K. Darbinyan, Samvel Kh

  • Year: 2025

  • Journal: Journal of Graph Theory

 

 

Suleyman Cetinkaya | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Suleyman Cetinkaya | Mathematics | Best Researcher Award

Assist. Prof. Dr. at Department of Mathematics from Kocaeli University, Turkey

​Asst. Prof. Süleyman Çetinkaya is a distinguished academic in the Department of Mathematics at Kocaeli University’s Faculty of Arts and Sciences. His research primarily focuses on applied mathematics, with a particular emphasis on fractional calculus and its applications in solving complex differential equations. Throughout his career, Dr. Çetinkaya has contributed significantly to the field, authoring numerous publications and presenting his findings at various international conferences.

Professional Profile​

Education

Dr. Çetinkaya completed his undergraduate studies in 1987 at Istanbul University’s Faculty of Literature, majoring in German Language and Literature. He further pursued a master’s degree at Istanbul University’s Faculty of Economics, focusing on the socio-cultural structure of the European Union. His thesis, titled “Environmental Policy in Local Governments During the EU Accession Process,” reflects his interdisciplinary approach, integrating environmental concerns with socio-economic studies.​

Professional Experience

Beginning his career in 1993 at Tuzla Municipality, Dr. Çetinkaya held multiple roles, including Director of Private Office, Account Affairs, Environmental Protection and Cleaning Affairs, Health Affairs, and Foreign Relations. In 2010, he transitioned to academia, joining Kocaeli University as a Research Assistant. His diverse professional background enriches his teaching and research, providing students with real-world insights into the applications of mathematics in various sectors.​

Research Interests

Dr. Çetinkaya’s research interests lie in applied mathematics, specifically fractional calculus. He explores the solutions of fractional differential equations and their applications in modeling real-world phenomena. His work aims to bridge the gap between theoretical mathematics and practical applications, contributing to advancements in engineering and technology.​

Research Skills

With expertise in fractional calculus, Dr. Çetinkaya employs analytical and numerical methods to tackle complex mathematical problems. His proficiency in developing and applying mathematical models enables him to address challenges in various scientific and engineering domains. Additionally, his interdisciplinary background allows him to integrate concepts from different fields, enhancing the depth and applicability of his research.​

Awards and Honors

Dr. Çetinkaya’s contributions to mathematics have been recognized through various accolades. He has an H-index of 4 in Web of Science and 2 in Scopus, reflecting the impact and quality of his research. His publications have garnered numerous citations, underscoring his influence in the academic community.​

Conclusion

Asst. Prof. Süleyman Çetinkaya exemplifies dedication to both academic excellence and practical application of mathematical principles. His interdisciplinary education and diverse professional experience enrich his research and teaching methodologies. By focusing on fractional calculus and its real-world applications, Dr. Çetinkaya continues to contribute significantly to the advancement of applied mathematics, inspiring both his peers and students.

Publications Top Notes​

  • Title: A New Approach for the Fractional Rosenau–Hyman Problem by ARA Transform
    Authors: Suleyman Cetinkaya; Ali Demir
    Year: 2025

  • Title: The Effect of New Integral Transform on the Establishment of Solutions for Fractional Mathematical Models
    Authors: Suleyman Cetinkaya; Ali Demir; Hulya Kodal Sevindir
    Year: 2024

  • Title: On the Solution of Mathematical Model Including Space-Time Fractional Diffusion Equation in Conformable Derivative, Via Weighted Inner Product
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2023

  • Title: The Analytic Solution of the Fractional Rosenau–Hyman Model in Liouville-Caputo Sense
    Authors: Suleyman Cetinkaya; Ali Demir
    Year: 2023

  • Title: Time Fractional Problem via Inner Product Including Weighted Function
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2022

  • Title: On Effects of a New Method for Fractional Initial Value Problems
    Authors: Hülya Kodal Sevindir; Süleyman Çetinkaya; Ali Demir; Zengtao Chen
    Year: 2021

  • Title: Analysis of Fractional Fokker-Planck Equation with Caputo and Caputo-Fabrizio Derivatives
    Authors: Suleyman Cetinkaya; Ali Demir; Dumitru Baleanu
    Year: 2021

  • Title: Solution of Space-Time-Fractional Problem by Shehu Variational Iteration Method
    Authors: Suleyman Cetinkaya; Ali Demir; Hulya Kodal Sevindir; Marianna Ruggieri
    Year: 2021

  • Title: Time Fractional Equation with Non-homogenous Dirichlet Boundary Conditions
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2020

  • Title: Equation Including Local Fractional Derivative and Neumann Boundary Conditions
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2020

  • Title: The Analytic Solution of Time-Space Fractional Diffusion Equation via New Inner Product with Weighted Function
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2019

  • Title: Asymptotic Analysis of Shearlet Transform for Inpainting
    Authors: Hülya Kodal Sevindir; Cüneyt Yazıcı; Süleyman Çetinkaya
    Year: 2018

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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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

Natiq Akhmedov | Mathematics | Best Rsearcher Award

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Prof. Dr. Natiq Akhmedov | Mathematics | Best Rsearcher Award

Professor, Doctor of Mathematical Sciences, Head of the Department of Mathematics and Statistics, Azerbaijan State University of Economics (UNEC), Azerbaijan

Dr. Nati Akhmedov is a distinguished mathematician with over 34 years of experience in academia and research. He holds a Doctorate in Mathematics and a Professor’s Certificate, reflecting his high level of expertise in the field. Since 1990, Dr. Akhmedov has been a full-time faculty member, specializing in calculus and applied mathematics. His dedication to teaching is evident in his role as a supervisor for PhD dissertations and his efforts to integrate personal research activities into his teaching methodologies. With a publication record of 65 research papers, Dr. Akhmedov has made significant contributions to the field of applied mathematics, focusing on solving complex, real-world problems. His career also includes consultancy and further education initiatives, showcasing his influence beyond academic institutions. Dr. Akhmedov has international experience in academic and management activities, further emphasizing his leadership in the field.

Professional Profile

Education

Dr. Akhmedov’s academic journey is marked by excellence in mathematics. He earned a Doctor of Mathematics degree, which laid the foundation for his career in academia and research. In addition, he holds a Professor’s Certificate, granting him the qualification to teach at the highest levels of education. Dr. Akhmedov has consistently pursued professional development to remain at the forefront of his discipline. His education has enabled him to specialize in applied mathematics and calculus, areas where he has demonstrated exceptional expertise. His deep understanding of mathematical principles and their practical applications has significantly influenced his teaching and research activities.

Professional Experience

Dr. Akhmedov has over three decades of professional experience, primarily in academia. Since 1990, he has served as a full-time faculty member, contributing extensively to teaching, research, and consultancy. His primary teaching focus is calculus, and he is actively involved in supervising PhD dissertations, fostering the growth of future mathematicians. In addition to teaching, Dr. Akhmedov has participated in consultancy projects, applying his mathematical expertise to solve practical problems. His experience extends to academic management and further education activities, demonstrating his versatility and leadership in the field. Dr. Akhmedov’s 34 years of experience reflect his unwavering commitment to mathematics, both as a discipline and a profession.

Research Interests

Dr. Akhmedov’s research interests lie in the field of applied mathematics, where he explores the practical applications of mathematical theories to solve real-world challenges. His work emphasizes the interdisciplinary nature of applied mathematics, integrating concepts from various fields to develop innovative solutions. As a researcher, Dr. Akhmedov has supervised numerous PhD dissertations, ensuring that his research interests influence the next generation of scholars. He has published 65 research papers, showcasing his dedication to advancing knowledge in his field. His interests also extend to the pedagogical aspects of mathematics, as he integrates his research into his teaching to provide students with a comprehensive understanding of the subject.

Research Skills

Dr. Akhmedov possesses exceptional research skills, honed over 34 years of academic and professional experience. His expertise includes mathematical modeling, problem-solving, and interdisciplinary research in applied mathematics. He is skilled in supervising PhD dissertations, guiding students through the complexities of mathematical research. Dr. Akhmedov has a proven ability to translate theoretical concepts into practical applications, as evidenced by his consultancy work and research publications. With 65 papers to his credit, he has demonstrated proficiency in academic writing, data analysis, and critical thinking. His ability to connect research with teaching ensures that his work remains relevant and impactful, benefiting both academia and industry.

Awards and Honors

Dr. Akhmedov’s professional achievements reflect his dedication to mathematics and academia. While specific awards and honors are not mentioned, his long-standing tenure as a full-time professor and his recognition through a Professor’s Certificate indicate his esteemed position in the field. His contributions to applied mathematics, teaching, and PhD supervision have likely earned him respect and recognition within academic and professional circles. Dr. Akhmedov’s inclusion in consultancy and management activities further highlights his reputation as a trusted expert in his field. His career serves as a testament to his commitment to excellence in mathematics and education.

Conclusion

Dr. Nati Akhmedov is a strong contender for the Best Researcher Award due to his extensive academic qualifications, long-standing career, robust research output, and significant teaching contributions. His work in applied mathematics bridges theoretical and practical aspects, and his role as a PhD supervisor demonstrates a commitment to fostering the next generation of researchers. However, to enhance his candidacy, it would be beneficial to provide evidence of the impact and recognition of his research contributions, along with detailed examples of international and interdisciplinary achievements. With these improvements, Dr. Akhmedov’s profile would present an even stronger case for the award.

Publication Top Notes

  1. Asymptotic analysis of three-dimensional problem of elasticity theory for radially inhomogeneous transversally-isotropic thin hollow spheres
    Authors: NK Akhmedov, AH Sofiyev
    Published in: Thin-Walled Structures
    Year: 2019
    Citations: 50
  2. Analysis of a three-dimensional problem of the theory of elasticity for an inhomogeneous truncated hollow cone
    Authors: NK Akhmedov, MF Mekhtiyev
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 1993
    Citations: 20
  3. Asymptotic behavior of the solution of an axisymmetric problem of elasticity theory for a sphere with variable elasticity modules
    Authors: NK Akhmedov, NS Gasanova
    Published in: Mathematics and Mechanics of Solids
    Year: 2020
    Citations: 17
  4. Analysis of axisymmetric problem from the theory of elasticity for an isotropic cylinder of small thickness with alternating elasticity modules
    Authors: N Akhmedov, S Akbarova, J Ismailova
    Published in: Восточно-Европейский журнал передовых технологий
    Year: 2019
    Citations: 11
  5. Axisymmetric Problem of the Elasticity Theory for the Radially Inhomogeneous Cylinder with a Fixed Lateral Surface
    Authors: NK Akhmedov
    Published in: Journal of Applied and Computational Mechanics
    Year: 2021
    Citations: 10
  6. Investigation of elasticity problem for the radially inhomogeneous transversely isotropic sphere
    Authors: NK Аkhmedov, SМ Yusubova
    Published in: Mathematical Methods in the Applied Sciences
    Year: 2022
    Citations: 8
  7. Анализ трехмерной задачи теории упругости для неоднородной трансверсально-изотропной плиты переменной толщины
    Authors: НК Ахмедов, ГН Шахвердиева
    Published in: Вісник Національного технічного університету ХПІ. Серія: Механіко …
    Year: 2016
    Citations: 8
  8. On St. Venant’s principle in the torsion problem for a laminated cylinder
    Authors: NK Akhmedov, YA Ustinov
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 1988
    Citations: 8
  9. Analysis of the structure of the boundary layer in the problem of the torsion of a laminated spherical shell
    Authors: NK Akhmedov, YA Ustinov
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 2009
    Citations: 7
  10. Осесимметричная задача теории упругости для неоднородной плиты переменной
    Authors: НК Ахмедов, МФ Мехтиев
    Published in: Прикладная математика и механика
    Year: 1995
    Citations: 7

 

Syed Anwar | signal processing | Best Researcher Award

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Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

Syed Muhammad Anwar is a distinguished researcher in the fields of medical imaging, deep learning, and computer vision. He is currently a Principal Investigator at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Hospital in Washington, DC, and serves as an Associate Professor at George Washington University. With over two decades of academic and professional experience, Dr. Anwar has co-founded tech ventures and contributed significantly to cutting-edge research in machine learning and medical image analysis. His expertise spans across multiple countries and academic institutions, with an impressive h-index of 38 and over 6,800 citations. A prolific scholar and inventor, he has secured numerous grants and awards for his research contributions in both academia and industry, particularly in the development of healthcare technologies. His leadership roles in education, research, and industry highlight his commitment to innovation and interdisciplinary collaboration in emerging technology fields.

Profile👤

Scopus

ORCID

Education📝

Dr. Anwar’s educational background showcases an impressive academic journey through prestigious institutions. He earned his PhD in Electronic and Electrical Engineering from the University of Sheffield, UK, in 2012, where his research focused on detecting neuronal fields using MR imaging. Prior to that, he obtained a distinction in his MS in Data Communications, also from the University of Sheffield. His undergraduate education was completed at the University of Engineering and Technology (UET), Taxila, where he graduated with honors in Computer Engineering, finishing with the second-highest percentage in his class. In 2019-2020, he was awarded a prestigious Fulbright Fellowship at the University of Central Florida, focusing on deep learning for medical image analysis. His diverse and interdisciplinary academic foundation, spanning engineering and medical technology, forms the basis of his expertise in cutting-edge research areas like artificial intelligence, machine learning, and medical image computing.

Experience👨‍🏫

Dr. Anwar’s career spans a wide array of academic and industry positions. Currently, he serves as Principal Investigator at Children’s National Hospital and Associate Professor at George Washington University. He was previously an Associate Professor at the University of Engineering and Technology, Taxila, where he held numerous administrative and advisory roles. He has also worked internationally, including as a Research Fellow at the University of Surrey, UK, and a Research Associate at the University of Central Florida, USA. Dr. Anwar has extensive experience in the tech industry, having co-founded several companies, including EcoEdge AI and Sense Digital Pvt. Ltd., where he served as CTO. His industrial roles have focused on deep learning, medical imaging, and healthcare solutions. Additionally, he has mentored entrepreneurs and served as an advisor at national incubation centers, underscoring his role as a bridge between academia and industry in technology and innovation.

Research Interest🔬 

Dr. Anwar’s research interests are deeply rooted in medical image analysis, artificial intelligence, and deep learning. His work primarily focuses on utilizing deep learning models to improve medical diagnostics, especially in fields such as brain tumor segmentation, pediatric health, and cardiac health monitoring. He is particularly interested in applying machine learning techniques to enhance medical imaging technologies, exploring areas like brain-computer interfaces and wearable health technologies. His projects also delve into federated learning for medical imaging security and using AI to predict health outcomes, such as in sickle cell disease management. Throughout his career, Dr. Anwar has sought to bridge the gap between medical science and computational technology, aiming to create innovative, data-driven healthcare solutions. His interdisciplinary research has earned him international recognition, positioning him as a key figure in advancing AI-driven medical applications.

Awards and Honors🏆

Dr. Anwar has received numerous prestigious awards and honors throughout his career. He was a Fulbright Fellow at the University of Central Florida, USA, where he focused on applying deep learning to medical image analysis. He has also been awarded several research grants, including a $220,000 seed grant from IGNITE for his work in fashion retrieval using deep learning and a $1200 grant from NVIDIA for hardware development. His contributions to academia have been widely recognized, with multiple travel grants awarded by the Higher Education Commission of Pakistan for presenting his research at international conferences. Additionally, Dr. Anwar has played a leading role in student mentorship, entrepreneurship, and incubation programs, where he has been recognized as a mentor at national incubation centers and the Pak-US Alumni Network. His leadership roles and innovative research projects have earned him a reputation for academic excellence and contribution to the global research community.

Skills🛠️

Dr. Anwar possesses a robust set of technical and leadership skills. His core expertise lies in deep learning, medical image analysis, and artificial intelligence. He is proficient in applying machine learning algorithms to a variety of real-world problems, especially in healthcare technologies. His strong background in software and hardware engineering includes experience with EEG-based systems, brain-computer interfaces, and remote health monitoring. Additionally, Dr. Anwar is skilled in research design, grant writing, and project management, having secured significant funding for his projects. His entrepreneurial abilities are demonstrated through his co-founding of tech startups and his role as CTO, where he has led development teams in creating innovative AI solutions. He also excels in academic mentoring, having supervised multiple PhD students and contributed to curriculum development in machine learning and computer vision at universities.

Conclusion 🔍 

Dr. Syed Muhammad Anwar is a highly accomplished researcher whose contributions to medical image analysis, deep learning, and AI in healthcare make him a strong candidate for the Best Researcher Award. His distinguished career, which spans academia, industry, and entrepreneurial ventures, highlights his ability to blend research innovation with real-world applications. His extensive publication record, high citation count, and successful leadership in numerous research projects underscore his academic impact. Dr. Anwar’s interdisciplinary approach, combining engineering with healthcare solutions, and his ability to secure significant research funding demonstrate his excellence in research and innovation. With a deep commitment to advancing technology for medical applications, Dr. Anwar’s work continues to influence both academic research and the practical development of AI-driven healthcare systems.

Publication Top Notes

Title: BPMN extension evaluation for security requirements engineering framework
Authors: Zareen, S., Anwar, S.M.
Year: 2024
Citation Count: 1

Title: Development of a Modular Real-time Shared-control System for a Smart Wheelchair
Authors: Ramaraj, V., Paralikar, A., Lee, E.J., Anwar, S.M., Monfaredi, R.
Year: 2024
Citation Count: 0

Title: An automated framework for pediatric hip surveillance and severity assessment using radiographs
Authors: Lam, V.K., Fischer, E., Jawad, K., Cleary, K., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Quantitative Metrics for Benchmarking Medical Image Harmonization
Authors: Parida, A., Jiang, Z., Packer, R.J., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: MR to CT Synthesis Using 3d Latent Diffusion
Authors: Tapp, A., Parida, A., Zhao, C., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning
Authors: Capellan-Martin, D., Parida, A., Gomez-Valverde, J.J., Ledesma-Carbayo, M.J., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study
Authors: Liu, X., Jiang, Z., Roth, H.R., Bornhorst, M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: EEG-Based Emotion Recognition during Mobile Gameplay
Authors: Khan, S.H., Raheel, A., Majid, M., Anwar, S.M., Arsalan, A.
Year: 2024
Citation Count: 0

Title: CHILD FER: DOMAIN-AGNOSTIC FACIAL EXPRESSION RECOGNITION IN CHILDREN USING A SECONDARY IMAGE DIFFUSION MODEL
Authors: Lee, E., Lee, E.-J., Anwar, S.M., Yoo, S.B.
Year: 2024
Citation Count: 0

Title: Self-Supervised Learning for Seizure Classification using ECoG spectrograms
Authors: Lam, V., Oliugbo, C., Parida, A., Linguraru, M.G., Anwar, S.M.
Year: 2024
Citation Count: 0