Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan 🌍📘, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

Professional Profile 

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Education 🎓📘

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving 🔍📐. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance 📊🔬.

Professional Experience 👨‍🏫💼

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes 🌐📚. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice 🧠💡. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍💥.

Awards and Honors 🏅🌟

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) 🌍📊, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics 🥇🌀. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM 📈📚. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally 🌐📢. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6


☀️ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6


🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6


♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6


🌡️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5


🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5


🔥 Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5


💡 Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5


⚙️ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5


🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4


 ⚡ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4


 🌀 Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4


 💧 Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4


 🧪 Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3


 🔬 Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3


 🌡️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3


 ⚗️ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3


 🔥 Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Vesna Knights | Applied Mathematics | Women Researcher Award

Prof. Vesna Knights | Applied Mathematics | Women Researcher Award

North Macedonia at Faculty of Technology and Technical Science, University “St. Kliment Ohridski”—Bitola, 7000 Bitola, North Macedonia, Macedonia

Professor Vesna (Antoska) Knights, Dr.Sc., is a distinguished academic and researcher with extensive experience in mathematical statistics, applied mathematics, and mathematical modelling. Serving as a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held pivotal roles including Head of the Doctoral Studies Council and Vice Dean. Her scholarly contributions span biostatistics, optimization, automation, and data analysis, with active involvement in international collaborations such as the COST Action DE-PASS and ERASMUS+ teaching exchanges. With a career rooted in both academia and government statistical services, Professor Knights brings a multidisciplinary perspective to her work. Her research has been recognized through numerous publications indexed in Scopus and Web of Science. Dedicated to mentoring and policy-relevant research, she exemplifies leadership in science and education. Her broad expertise and impact make her a strong candidate for the Women Researcher Award.

Professional Profile 

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Education

Professor Vesna (Antoska) Knights holds a Doctor of Science (Dr.Sc.) degree in Technical Sciences, with a specialization in Applied Mathematics and Statistical Modelling. Her academic journey began with a degree in Mathematics, followed by postgraduate studies in Statistical Analysis and Mathematical Modelling, which laid a strong foundation for her interdisciplinary research career. Her doctoral work focused on applying mathematical frameworks to real-world industrial and biological systems, earning her recognition for integrating theoretical insight with practical application. Throughout her academic progression, she pursued international research exchanges and advanced trainings, including ERASMUS+ programs, which enriched her educational profile with global perspectives. Her commitment to continuous learning and academic excellence is evident in her participation in workshops, seminars, and specialized courses across Europe. Professor Knights’s education reflects a deep-rooted dedication to expanding knowledge and applying it to complex scientific, technological, and societal challenges.

Professional Experience

Professor Knights has a distinguished career spanning academia, public service, and international collaboration. Currently a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held several leadership roles including Vice Dean and Head of the Doctoral Studies Council. She has extensive experience teaching undergraduate, graduate, and doctoral students in mathematics, statistics, data analysis, and optimization. Her early career includes service at the State Statistical Office of North Macedonia, where she contributed to national statistical methodology and data analysis frameworks. She is actively engaged in international mobility programs such as ERASMUS+ and serves as a scientific member in European research networks like the COST Action DE-PASS. With a professional background that bridges academia and applied statistics, Professor Knights has led multiple research projects, supervised doctoral theses, and established herself as a key figure in interdisciplinary academic initiatives throughout Europe.

Research Interest

Professor Knights’s research interests are deeply rooted in applied mathematics, mathematical statistics, and computational modelling. She specializes in biostatistics, systems optimization, industrial mathematics, and the application of statistical models in engineering and health sciences. Her interdisciplinary approach connects statistical theory with practical problems in automation, manufacturing, and biological systems. A significant part of her research has focused on parameter estimation, probabilistic analysis, and developing algorithms for data-driven decision-making in complex systems. She is also involved in health-related modelling within the context of physical activity and well-being, contributing to the European COST Action DE-PASS project. Her scientific output includes numerous publications indexed in Scopus and Web of Science, showcasing her commitment to advancing both theory and application. Professor Knights is particularly enthusiastic about mentoring young researchers and fostering cross-disciplinary collaboration, reflecting her belief in the transformative power of mathematical modelling in solving global challenges.

Award and Honor

Throughout her career, Professor Vesna Knights has received various accolades that reflect her dedication to science, education, and leadership. She has been recognized at institutional and national levels for her outstanding teaching performance and contributions to academic development. Her research excellence has earned her invitations to serve as a reviewer and editorial board member for peer-reviewed international journals. Her participation in the prestigious COST Action DE-PASS highlights her standing in the European research community. Additionally, she has been a keynote speaker and guest lecturer in ERASMUS+ programs and international conferences, where her work has been lauded for its impact and innovation. As a mentor and academic advisor, she has received commendations for guiding doctoral students and young researchers in developing cutting-edge research methodologies. These honors underscore her significant influence across educational, scientific, and professional landscapes, positioning her as a role model and advocate for women in science and mathematics.

Conclusion

Professor Vesna (Antoska) Knights exemplifies academic excellence, interdisciplinary innovation, and leadership in mathematical sciences. Her career bridges theoretical depth with real-world application, impacting fields from biostatistics and industrial optimization to health science and data analytics. As a dedicated educator, she inspires students and researchers alike, fostering a vibrant academic environment that emphasizes rigor, creativity, and societal relevance. Her international collaborations, leadership in doctoral education, and participation in high-impact European research networks underscore her role as a globally engaged scholar. The recognition she has received through awards, research invitations, and institutional honors speaks to her sustained contributions to the scientific community. Professor Knights is not only a distinguished researcher but also a passionate advocate for scientific collaboration, education, and mentorship. Her legacy continues to influence the next generation of scientists, making her a worthy recipient of honors such as the Women Researcher Award, and a beacon of excellence in contemporary mathematical science.

Publications Top Notes

  • Title: Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications
    Authors: V. Antoska-Knights, O. Petrovska, J. Gajdoš Kljusurić
    Year: 2024
    Citations: 1
    Source: Future Internet

  • Title: Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking
    Authors: V. Knights, O. Petrovska, J. Bunevska-Talevska, M. Prchkovska
    Year: 2025
    Source: Sensors, 25(7), 2065

  • Title: Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments
    Authors: V. Antoska-Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Citations: 4
    Source: IntechOpen Limited, pp. 25–49

  • Title: Learning and AI Integration in IoT
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Source: Navigating the Internet of Things in the 22nd Century

  • Title: Mathematical Analysis of Statistical Design of Experiment and Machine Learning Methods in Identifying Factors Influencing Obesity
    Authors: V. Knights, T. Blazevska, G. Markovic, J.G. Kljusurić
    Year: 2024
    Source: Medical Research Archives, 12(9)

  • Title: Примена на статистички методи… со потекло oд Македонија, Косово и Албанија
    Authors: B. Durmishi, V. Antoska-Knights
    Year: 2024
    Source: Годишна Конференција на студентите на трет циклус студии

  • Title: Pollution of the Fifth Canal on the Crna River in the Region of Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, N. Gruevska, E. Delinikolova, et al.
    Year: 2024
    Source: IJFTN International Journal of Food Technology and Nutrition, 7(13–14), 138–143

  • Title: The Presence of Escherichia coli and Enterococcus in the Water of the Fifth Canal and Black River near Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, V. Stamatovska, M. Sviderski, et al.
    Year: 2024
    Source: Journal of Agriculture and Plant Sciences, 22(1), 9–13

  • Title: Machine Learning Techniques for Modelling and Predicting the Influence of Kefir in a Low-Protein Diet on Kidney Function
    Authors: V. Knights, E.D. Gavriloska
    Year: 2024
    Source: Medical Research Archives, 12(7)

  • Title: Textural and Sensory Characteristics of Yogurt Manufactured with Liquid Whey and Strawberry Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Journal of Food Science and Technology (Iran), 21(150), 139–150

  • Title: Integrating Machine Learning and AI into IoT-Enabled Smart Parking
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2024
    Source: International Conference on Innovations in Technology, Business and Society

  • Title: From Equations to Predictions: Understanding the Mathematics and Machine Learning of Multiple Linear Regression
    Authors: V. Knights, M. Prchkovska
    Year: 2024
    Citations: 7
    Source: Journal of Mathematical & Computer Applications, 3(2), 1–8

  • Title: Recommendations and Use of Calcium, Vitamin D, and Appropriate Nutrition in Patients with Rheumatoid Diseases
    Authors: D. Zhubi, V. Pavlova, M. Zhubi, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Citations: 1
    Source: Journal of Hygienic Engineering & Design, 47

  • Title: Modeling and Implementation of Smart Parking System
    Authors: O. Petrovska, V. Knights, A.F. Turkeshi
    Year: 2024
    Source: Book of Abstracts, 12

  • Title: Mineral Composition of Fresh Cow’s Milk and the Importance of Minerals in the Human Diet
    Authors: V. Loshi, I. Nikqi, E. Gajdoš Kljusurić, V. Antoska-Knights
    Year: 2024
    Source: Journal of Hygienic Engineering and Design, 48, 30–34

  • Title: A Survey on the Motivation, Attitudes, and Frequency of Use of Dietary Supplements in Cancer Patients
    Authors: K. Dina, V. Pavlova, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Source: Journal of Hygienic Engineering and Design

  • Title: Textural and Sensory Properties of Yogurt Obtained by Bioconversion of Milk-Liquid Whey Mixture and Aronia Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska-Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Poljoprivreda i Sumarstvo, 70(1), 115–126

  • Title: Dynamic Modeling and Simulation of Mobile Robot under Disturbances and Obstacles in an Environment
    Authors: V. Knights, O. Petrovska
    Year: 2024
    Citations: 6
    Source: Journal of Applied Mathematics & Computation, 8, 59–67

  • Title: Mathematical Modelling of Determining the Dynamics of the Nutritional Value Content of Classic Kefir and Three Types of Flavors of Functional Kefir
    Authors: E.D. Gavriloska, T. Kalevska, G. Dimitrovska, J.G. Kljusurić, V.A. Knights
    Year: 2023
    Source: Horizons – International Scientific Journal, 1(1), 116–129