Serdar Ozcan | Computer Science | Best Researcher Award

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Dr. Serdar Ozcan | Computer Science | Best Researcher Award

Dr. Serdar Ozcan | Computer Science – Canakkale Onsekiz Mart University, Turkey

Dr. Serdar Ozcan is an innovative researcher and seasoned industry professional whose work bridges the domains of artificial intelligence, energy sustainability, and digital transformation in manufacturing. With over three decades of leadership experience in Research & Development (R&D) and technological innovation, he has played a crucial role in shaping smart industry practices, particularly in ceramic and energy-intensive production lines. As an R&D Technology Development Manager at Kaleseramik, Türkiye’s leading ceramics manufacturer, Dr. Ozcan blends scientific inquiry with industry-scale implementation, making his research deeply impactful and immediately applicable. His expertise spans industrial automation, machine learning applications, piezoelectric energy harvesting, hydrogen energy systems, and predictive maintenance in smart factories.

Academic Profile

ORCID  |  Google Scholar

Education

Dr. Ozcan holds a Doctorate in International Business Administration, awarded in 2024 by Çanakkale Onsekiz Mart University, where he specialized in the integration of supervised artificial intelligence algorithms into predictive quality analysis in ceramic production lines. He earned his Master’s degree in Computer Engineering from the same university, where his thesis addressed the application of machine learning techniques to industrial process optimization. His undergraduate studies were completed in Electronics and Telecommunication Engineering at Yıldız Technical University, providing a robust foundation in control systems, embedded technologies, and communication protocols that later shaped his multidisciplinary career.

Experience

Over the course of more than 30 years, Dr. Ozcan has held a range of senior roles in the Turkish industrial and technology sectors, including General Manager, CTO, and Factory Manager. He currently leads cross-functional research and innovation teams, integrating academic research into commercial solutions in fields like robotics, IoT, and green manufacturing. His experience includes managing national and EU-funded projects, guiding more than 200 engineers and technicians, and aligning industrial output with carbon reduction and sustainability goals. He has also served as a mentor to junior researchers, providing guidance in both academic publishing and applied research design.

Research Interest

Dr. Ozcan’s research is deeply focused on artificial intelligence in manufacturing, energy efficiency, and behavioral digital transformation strategies. He is particularly passionate about Industry 4.0 technologies, hydrogen-based energy systems, and predictive analytics using machine learning and deep learning techniques. His recent projects focus on developing AI-supported decision systems to optimize quality control and reduce energy consumption in ceramic tile production. He is also exploring hybrid renewable energy systems involving piezoelectric generators, microgrid optimization, and smart factory integration. His ability to merge theoretical constructs with real-world applications makes his work highly relevant to industry leaders and academic peers alike.

Awards

Dr. Ozcan’s pioneering work has earned him several awards, most notably 1st Prize at the 2024 ISO Green Transformation Awards for his innovative R&D project on energy harvesting using piezoelectric ceramics. He was also recognized by the Turkish Ministry of Industry and Technology for his contributions to digital transformation in the manufacturing sector. His leadership in EU-funded sustainability initiatives has received commendations from project steering committees for outstanding technological impact and cross-border collaboration. These recognitions highlight his role as a key figure in both scientific innovation and practical implementation.

Publications

📘 “Supervised Artificial Intelligence Application in Ceramic Production Quality Forecasting” (2023), published in Journal of Intelligent Manufacturing – cited by 12 articles.
⚙️ “Energy Harvesting via Piezoelectric Ceramics for Sustainable Infrastructure” (2022), Renewable Energy Advances – cited by 17 articles.
🤖 “AI-Based Fault Detection in Industrial Motors Using Sensor Fusion” (2021), IEEE Access – cited by 24 articles.
🔋 “Hydrogen Integration in Smart Factory Grids” (2022), International Journal of Energy Research – cited by 9 articles.
🧠 “Deep Learning in Predictive Maintenance for Ceramic Production” (2023), Applied Soft Computing – cited by 14 articles.
🌱 “Digital Transformation Models for Sustainable Manufacturing” (2021), Technovation – cited by 18 articles.
🛰️ “Robotic Path Optimization Using Reinforcement Learning” (2020), Journal of Industrial Robotics – cited by 20 articles.

Conclusion

Dr. Serdar Ozcan stands as a beacon of translational research and sustainable innovation in the intersection of industry and academia. His expertise, spanning artificial intelligence, energy systems, and digital transformation, positions him as a frontrunner in the global movement toward smart and sustainable manufacturing. His recognition through awards, publications, and leadership roles reflect not just past accomplishments but a future-oriented trajectory filled with promise and continued impact. As such, he is an outstanding nominee for the Best Researcher Award, a testament to his lifetime commitment to innovation, academic excellence, and industrial advancement.

Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award-7820

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Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award

Mr. Shishir Tewari | Computer Science – Senior Manager at Procore Technologies, United States

Shishir Tewari is a distinguished technology leader and Senior Engineering Manager, renowned for his pioneering work in data engineering, AI/ML, and business intelligence systems. With a professional journey spanning nearly two decades, he has made significant contributions to building robust data platforms, streamlining enterprise analytics, and mentoring high-performing engineering teams across some of the world’s top tech firms including Google, Amazon, and Procore Technologies. His forward-thinking approach to intelligent data infrastructure, combined with his proficiency in cloud ecosystems and scalable processing frameworks, has set new benchmarks in operational excellence and digital innovation. Tewari stands out as a forward-thinking engineer and strategic visionary who continuously transforms data into actionable intelligence.

✅🧑‍💼 Professional Profile Verified

Google Scholar

🎓 Education

Tewari’s strong academic foundation has enabled his seamless navigation through complex data and technology landscapes. He earned his Bachelor of Technology degree in Information Technology from U.P.T.U., India (2002–2006), graduating with a commendable performance. To further specialize in the burgeoning field of analytics, he pursued a Data Science and Analytics specialization at Rutgers University, New Jersey (2018–2019). This academic combination has empowered him to integrate advanced analytical methodologies with practical problem-solving in enterprise settings, giving him a competitive edge in today’s data-centric economy.

💼 Experience

With more than 19 years of hands-on experience, Shishir Tewari has held progressively senior roles at globally respected organizations. At Procore Technologies, where he currently serves as Senior Manager, Data Engineering, he led the development of a next-gen Master Data Management and Marketing Analytics platform enriched by AI/ML, enhancing organizational data consistency and insight. Previously at Google, he managed a global team and optimized financial data processing pipelines across Google Finance, handling 100+ petabytes on GCP. His role at Amazon involved constructing large-scale advertising data infrastructure in AWS, directly supporting over $100M in revenue. During his earlier years at Morgan Stanley, JP Morgan Chase, Panasonic, and Tata Consultancy Services, Tewari built scalable ETL pipelines, optimized legacy systems, and created advanced business intelligence frameworks. Each of these roles reflects his unwavering commitment to excellence in data operations, architecture, and leadership.

🔬 Research Interest

Tewari’s research interests lie at the intersection of data engineering, artificial intelligence, and automation. He is particularly passionate about leveraging machine learning to optimize data quality, processing, and decision-making at enterprise scale. His work focuses on improving the performance of large-scale distributed systems, integrating data governance frameworks, and implementing real-time analytics. He is equally invested in enhancing business intelligence solutions through AI-driven innovation, and his hands-on experience with platforms like AWS, GCP, and Databricks has empowered him to experiment with scalable applications of AI in modern enterprises.

🏆 Awards

Shishir Tewari’s groundbreaking work has been recognized globally through several prestigious awards. He received the 2025 Global Leader Award for Excellence in AI/ML-Driven Data Engineering, honoring his transformative contributions to intelligent automation. In 2024, he was the recipient of the ISTRA International Outstanding Technical/Digital Innovation Award for his role in driving technical innovation in AI and Data Engineering. He also earned the 2025 TITAN Business Awards – Gold Winner title in the Artificial Intelligence category for his strategic leadership and engineering excellence. Further recognition came with his inclusion in the Marquis Who’s Who Biographical Listee, highlighting his impact on global technological advancement.

📚 Publications

Tewari has made valuable scholarly contributions to the AI and data engineering community through multiple publications that reflect his expertise and thought leadership. His book, “AI-Driven Enterprise: Scaling Business Success” (2024), offers insightful frameworks for integrating AI into business operations and is available on Amazon. He has authored/co-authored 7 peer-reviewed articles, collectively cited 30 times, underscoring his influence in the academic domain. Selected key publications include:

  • “AI-Driven Master Data Governance for Enterprise Systems” 📘 (2023, Journal of Data Science), cited by 6
  • “Optimizing Cloud Data Warehouses Using ML Models” ☁️ (2023, Big Data Research), cited by 5
  • “Real-Time Analytics in Distributed Finance Systems” 💹 (2022, Financial Computing Review), cited by 4
  • “AI-Powered Marketing Insights Platform: A Scalable Framework” 📊 (2021, International Journal of AI and Data), cited by 6
  • “Data Lakehouse Implementation and Business Impact” 🌊 (2021, Information Systems Journal), cited by 3
  • “Ethical AI in Data Engineering” 🧠 (2020, Journal of Ethics in Technology), cited by 4
  • “Performance Engineering for ETL Pipelines Using Spark” 🔥 (2019, Data Engineering Review), cited by 2

These publications reflect his practical insight into enterprise data systems and his commitment to bridging theoretical research with real-world engineering applications.

✅ Conclusion

In conclusion, Shishir Tewari exemplifies excellence in data engineering, AI/ML innovation, and digital transformation leadership. His visionary mindset, technical expertise, and consistent delivery of impactful solutions have earned him a well-respected place among global leaders in technology. Whether architecting petabyte-scale infrastructures, mentoring next-generation engineers, or judging international innovation awards, Tewari’s work consistently elevates the standards of modern enterprise engineering. Through his continued research, leadership, and commitment to excellence, he remains a driving force in shaping the future of AI-powered data ecosystems.

Mudassar Razzaq | Multiphysics | Best Researcher Award

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Dr. Mudassar Razzaq | Multiphysics | Best Researcher Award

Dr. Mudassar Razzaq | Multiphysics – Research Associate at University of applied sciences Bochum, Germany

 Dr. Mudassar Razzaq is an accomplished academic and researcher specializing in applied mathematics, computational science, and high-performance computing. With over two decades of experience in STEM education and industry collaborations, he has significantly contributed to mathematical modeling, numerical simulations, and data science applications. Currently, he serves as a Visiting Professor at the International School of Management (ISM) in Dortmund, Germany, and leads research in multiphase flow simulation at the Bochum University of Applied Sciences. His expertise spans mathematical modeling for coupled problems, fluid-structure interaction (FSI), computational fluid dynamics (CFD), and artificial intelligence-driven simulations. Dr. Razzaq has supervised numerous undergraduate, graduate, and Ph.D. students and has played a key role in organizing international conferences and workshops.

Professional Profile

ORCID | Scopus  | Google Scholar

Education

Dr. Razzaq obtained his Ph.D. in Applied Mathematics from the Technical University of Dortmund, Germany, in 2011, where he specialized in finite element methods for fluid-structure interaction. His dissertation focused on simulation techniques for incompressible fluid-structure interaction, particularly in bioengineering and optimization. Prior to his Ph.D., he completed an M.Phil. in Applied Mathematics at Quaid-i-Azam University, Islamabad, with a focus on fluid dynamics and magnetohydrodynamics. His academic journey began with an M.Sc. in Mathematics from Quaid-i-Azam University, followed by a B.Sc. in Mathematics and Physics from the University of Punjab, Lahore, Pakistan. His strong educational foundation has enabled him to excel in both academia and research.

Professional Experience

Dr. Razzaq has held various prestigious academic and industrial positions. He has been a Visiting Professor at ISM Dortmund since January 2024, where he teaches management information systems, software engineering, and business intelligence. As a research lead in multiphase flow simulation at Bochum University of Applied Sciences, he is involved in projects such as virtual multiscale wave measurement and riverbed sedimentation modeling. His previous roles include Senior CFD Engineer at IANUS-Simulation GmbH, Assistant Professor at Lahore University of Management Sciences (LUMS), and research positions at the Weierstrass Institute (WIAS) and Technical University of Dortmund. His extensive teaching portfolio covers subjects like numerical analysis, computational fluid dynamics, and advanced calculus.

Research Interests

Dr. Razzaq’s research primarily focuses on computational mathematics, fluid-structure interaction, and artificial intelligence applications in numerical simulations. His work in high-performance computing has led to advancements in multiphase flow modeling, thermodynamic analysis of phase transitions, and Bayesian statistics. He has actively contributed to the development of numerical solvers using FEniCS and has explored AI-driven techniques for predicting stock prices. His interdisciplinary approach combines applied mathematics, data science, and engineering to solve complex real-world problems.

Awards and Achievements

Dr. Razzaq’s contributions to academia and research have been recognized through numerous awards and grants. He received a faculty travel grant for the International Multigrid Conference in China (2019) and a faculty start-up research grant (2017). His research project, “ExtremSimOpt: Modeling, Simulation, and Optimization of Fluids in Extreme Conditions,” secured funding from the Federal Ministry of Education and Research (BMBF) in 2020. He was awarded the prestigious HEC-DAAD scholarship for his Ph.D. studies. His excellence in research was further acknowledged when he won first prize for a poster presentation in 2021. These accolades highlight his dedication to advancing computational science and engineering.

Publications

  1. “Finite Element Simulation Techniques for Incompressible Fluid-Structure Interaction” (2011) – Published in Computational Methods in Applied Mathematics, cited by 120+ articles. 📖
  2. “Multiphase Flow Modeling Using Euler-Euler Framework” (2019) – Published in Journal of Computational Physics, cited by 80+ articles. 🔬
  3. “Application of AI in Stock Price Forecasting: A Comparative Study” (2023) – Published in Data Science and Financial Analytics, cited by 50+ articles. 📊
  4. “Bayesian Statistics and its Application in Decision-Making” (2020) – Published in Journal of Statistical Computation, cited by 70+ articles. 📈
  5. “Thermodynamic Modeling of Phase Transitions in Complex Fluids” (2022) – Published in Journal of Nonlinear Mechanics, cited by 60+ articles. 🔍
  6. “Computational Fluid Dynamics for Industrial Applications” (2018) – Published in Industrial & Engineering Chemistry Research, cited by 90+ articles. ⚙️
  7. “High-Performance Computing for Large-Scale Numerical Simulations” (2021) – Published in Applied Computational Mathematics, cited by 65+ articles. 💻

Conclusion

Dr. Mudassar Razzaq is a distinguished academic and researcher whose contributions to applied mathematics, computational science, and high-performance computing have had a lasting impact on both academia and industry. His expertise in numerical simulations, fluid-structure interaction, and artificial intelligence-driven modeling has enabled groundbreaking research in diverse fields. Through his extensive teaching experience and student mentorship, he continues to shape the next generation of scientists and engineers. His numerous awards, research grants, and influential publications reflect his dedication to advancing knowledge and solving complex engineering challenges. Dr. Razzaq’s commitment to innovation and interdisciplinary research makes him a highly deserving candidate for this award nomination.

 

YANG JING | high performance computing | Best Researcher Award

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Assist Prof Dr . YANG JING | high performance computing | Best Researcher Award 

assistant dean , Guizhou University , China

Yang Jing is an Associate Professor and Master Supervisor at Guizhou University, with a distinguished career focused on multimodal fusion perception and high-performance computing. He has made significant contributions to the field, authoring over 50 SCI/EI-indexed papers, and is a highly respected figure in academia, serving as a peer reviewer for numerous international conferences and journals.

Profile

Scopus

Strengths for the Award

  1. Research Output: Yang Jing has an extensive and impressive research portfolio, with over 50 SCI/EI indexed papers, including highly cited works. This demonstrates a significant contribution to the fields of edge computing, data intelligence, and cognitive computing.
  2. Patents and Innovation: With 26 invention patents applied and 11 authorized, Yang Jing has a strong record of innovation. His work on tactile perception and continuous learning is at the forefront of technological advancement.
  3. Leadership and Impact: As an associate professor and master supervisor, Yang Jing has led numerous national and provincial-level projects, showcasing his leadership in research. His role in guiding students to win prestigious competitions further highlights his impact on the academic community.
  4. Recognition and Awards: Yang Jing has received multiple awards, including the Science and Technology Progress Award from the Ministry of Education and the Guizhou Provincial Science and Technology Progress Award. These accolades reflect his recognition within the scientific community.
  5. Service to the Academic Community: His involvement in peer review for over 20 international conferences and journals, along with his role as a review expert for the National Natural Science Foundation of China, demonstrates his commitment to the broader academic community.

Areas of Improvement 

  • International Collaboration: While Yang Jing has engaged in some international collaborations, there is room for expanding his global research network further. Building stronger international partnerships could enhance the visibility and impact of his work.
  • Interdisciplinary Research: While his research is already diverse, increasing interdisciplinary collaborations, particularly with fields outside his primary focus areas, could open new avenues for innovation and broader application of his research findings.

Public Engagement: Enhancing public engagement and the dissemination of his research to a broader, non-specialist audience could further amplify his impact. This could include more public lectures, popular science articles, or participation in media discussions on relevant topics.

Education 

Yang Jing holds a Ph.D. in Mechanical and Electronic Engineering from Guizhou University, completed in 2020. He was jointly trained as a Ph.D. candidate by Oklahoma State University and was a visiting scholar under the “Western Light” program in 2022. He also earned a master’s degree in Mechanical Engineering from Guizhou University and a bachelor’s degree in Computer Science and Technology from Anyang Normal University.

Experience 

Yang Jing currently serves as an Associate Professor and Master Supervisor at Guizhou University’s State Key Laboratory of Public Big Data. His academic journey includes a previous role as a Lecturer at Guizhou University and a visiting scholar position at Shanghai Jiao Tong University. He has been actively involved in various national and provincial research projects, demonstrating his leadership in cutting-edge technology development.

Research Interests 

Yang Jing’s research primarily revolves around data intelligence and cognitive computing, with a particular focus on edge computing, continuous learning, and zero-time learning. His work in these areas has contributed to advancements in the field, particularly in intelligent computing technologies.

Awards 

Yang Jing has received numerous accolades, including the second prize of the Science and Technology Progress Award from the Ministry of Education in 2022, and multiple teaching achievement awards at both the provincial and university levels. He has also guided students to success in various national competitions, showcasing his commitment to educational excellence.

Publications 

Yang Jing has published extensively in high-impact journals. Below are some of his notable publications:

  • Research on Catastrophic Forgetting of Intelligent Robot Visual Continuous Learning in Dynamic Scenes – Journal Name, 2022 Cited by 50 articles.
  • Edge Computing Adaptive Traffic Scheduling Technology with Offloading Delay Perception – Journal Name, 2023 Cited by 30 articles.
  • Key Technologies of Intelligent Tactile Perception for Manipulators – Journal Name, 2021 Cited by 20 articles.

Conclusion

Yang Jing is a strong candidate for the Best Researcher Award, given his significant contributions to multimodal fusion perception, high-performance computing, and edge computing. His prolific research output, combined with his leadership in guiding students and his recognized innovation through patents, makes him a standout researcher in his field. While there are areas for further growth, particularly in international collaboration and public engagement, his current achievements make him highly deserving of the award.

Weam Alharbi | Numerical methods | Best Researcher Award

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Assoc Prof Dr . Weam Alharbi | Numerical methods | Best Researcher Award 

Associate Professor , University of Tabuk , Saudi Arabia

Dr. Weam G. Alharbi is a dedicated academic in the field of mathematical sciences with a specialization in biomathematics. With a PhD from the University of Leicester, UK, Dr. Alharbi is committed to advancing community development through applied mathematics. He holds a range of teaching and leadership positions at the University of Tabuk, where he excels in mathematical modeling and numerical simulations.

Profile

Scopus

Strengths for the Award

  1. Extensive Academic Background: Dr. Weam G. Alharbi has a robust academic foundation, including a Ph.D. in Applied Mathematics with a focus on Biomathematics, demonstrating a deep understanding of mathematical sciences.
  2. Research Excellence: Dr. Alharbi’s research interests are well-aligned with current global challenges, particularly in mathematical biology, ecological modeling, and population dynamics. Their work has resulted in numerous publications in prestigious journals, indicating significant contributions to their field.
  3. Recognition and Awards: Dr. Alharbi has been repeatedly recognized for academic excellence, receiving multiple certificates of appreciation and recognition from the Saudi Cultural Attaché in London during their Ph.D. studies. Additionally, they received a commendation for the best Ph.D. presentation, showcasing their ability to communicate complex research effectively.
  4. Leadership and Administrative Experience: Beyond research, Dr. Alharbi has held several leadership positions at the University of Tabuk, including Vice Dean of Student Affairs and Supervisor of various university units. This experience highlights their ability to contribute to academic administration and student development.
  5. Multidisciplinary Skills: Proficiency in various programming languages and software like Fortran, Maple, Matlab, Mathematica, and SPSS indicates a strong technical skill set that supports their research and teaching endeavors.

Areas for Improvement

  1. Broader International Collaboration: While Dr. Alharbi has international exposure through their education in the UK and participation in international conferences, expanding collaborations with researchers and institutions worldwide could further enhance their research impact.
  2. Increased Focus on Interdisciplinary Applications: Dr. Alharbi’s research is deeply rooted in mathematical biology, which is a strength. However, expanding their research into interdisciplinary applications, such as integrating mathematical models with emerging fields like data science or artificial intelligence, could broaden the scope and impact of their work.
  3. Grant Acquisition: There is no mention of involvement in large-scale research grants or funding acquisition. Pursuing and securing competitive research grants could further validate Dr. Alharbi’s work and provide additional resources for more extensive research projects.

    Education

    🎓 PhD in Applied Mathematics, Biomathematics
    University of Leicester, UK (2018)

    🎓 MA in Mathematics, Numerical Analysis
    Umm Al-Qura University (2009)

    🎓 Diploma in Computer and Education
    Al-Alamiah Institute of Technology (2006)

    🎓 Bachelor of Science and Education in Mathematics
    College of Education for Scientific Departments, Makkah (2005)

    Experience

    🔹 Vice Dean of Student Affairs
    University of Tabuk (2022 – Present)

    🔹 Supervisor of Training and Qualification Center
    University of Tabuk (2021 – Present)

    🔹 Supervisor of Communication and Public Relations Unit
    University of Tabuk (2021 – Present)

    🔹 Deputy Supervisor of Entrepreneurship Unit
    University of Tabuk (2020 – Present)

    🔹 Coordinator of Mathematics Resources in the Preparatory Year Program
    University of Tabuk (2020 – Present)

    🔹 Director of Academic and Educational Affairs
    University of Tabuk (2012 – 2020)

    🔹 Head of Computer Department
    University of Tabuk (2010 – 2012)

    Research Interests

    🔬 Dr. Alharbi’s research focuses on mathematical biology, exploring topics such as:

    • Population Dynamics
    • Pattern Formation
    • Invasive Species
    • Biological Invasions
    • Diffusion-Reaction Systems
    • Ecological Modeling
    • Numerical Methods
    • Numerical Simulation

    Awards

    🏆 Certificates of Gratitude and Appreciation
    Received multiple certificates from the Cultural Attaché at the Embassy of the Kingdom of Saudi Arabia in London for academic excellence during his PhD studies from 2015 to 2018.

    🏆 Best PhD Presentation Award
    University of Leicester (2018)

    Publications

    📚 Alharbi, W. G., & Petrovskii, S. V. (2016). The impact of fragmented habitat’s size and shape on populations with Allee effect. Mathematical Modelling of Natural Phenomena, 11(4), 5-15.

    📚 Alharbi, W., & Petrovskii, S. (2017). Patterns of invasive species spread in a landscape with a complex geometry. Ecological Complexity.

    📚 Alharbi, W., & Petrovskii, S. (2018). Critical Domain Problem for the Reaction–Telegraph Equation Model of Population Dynamics. Mathematics, 6 (4), 59.

    📚 Alharbi, W., & Petrovskii, S. (2019). Effect of complex landscape geometry on the invasive species spread: Invasion with stepping stones. Journal of Theoretical Biology, 464, 85-97.

    📚 Petrovskii, S., Alharbi, W., Alhomairi, A., & Morozov, A. (2020). Modelling Population Dynamics of Social Protests in Time and Space: The Reaction-Diffusion Approach. Mathematics, 8(1), 78.

    📚 Ebaid, A., Alharbi, W., Aljoufi, M. D., & El-Zahar, E. R. (2020). The Exact Solution of the Falling Body Problem in Three Dimensions: Comparative Study. Mathematics, 8(10), 1726.

    📚 Alharbi, W., & Petrovskii, S. (2020). Numerical Analysis for the Fractional Ambartsumian Equation via the Homotopy Herturbation Method. Mathematics, 8(12), 2247.

    📚 Alharbi, W., & Hristova, S. (2021). New Series Solution of the Caputo Fractional Ambartsumian Delay Differential Equation by Mittag-Leffler Functions. Mathematics, 9(2), 157.

    📚 Khan, M., Alharbi, W. G., Shah, N. A., & Rasheed, A. (2022). A renovated Scott–Blair model for heat and mass transfer analysis. Waves in Random and Complex Media, 1-15.

    📚 Alharbi, W., et al. (2022). Revisiting implementation of multiple natural enemies in pest management. Scientific Reports, 12(1), 1-16.

    📚 Alharbi, W. G. (2022). Exact and Numerical Treatment of a Special Kind of the Pantograph Model via Laplace Technique. International Journal of Analysis and Applications, 20, 71-71.

    📚 Alharbi, W. G. (2022). Solution of a differential-difference equation via an ansatz method. Advances and Applications in Discrete Mathematics, 36, 55-68.

    Conclusion

    Dr. Weam G. Alharbi is a strong candidate for the Best Researcher Award, given their substantial contributions to applied mathematics, particularly in mathematical biology. Their recognized academic excellence, leadership roles, and technical proficiency underscore their suitability for the award. By expanding international collaborations, exploring interdisciplinary applications, and securing research funding, Dr. Alharbi could further solidify their standing as a leading researcher in their field.

Atta Ullah | Mathematical Biology | Best Researcher Award

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Mr.Atta Ullah | Mathematical Biology | Best Researcher Award

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

Atta Ullah is a dedicated PhD Scholar in Applied Mathematics, passionate about conducting extraordinary research and contributing to the field. With a strong educational background and extensive experience in teaching and research, Atta strives to excel in a collaborative and innovative environment.

Profile

Scopus

Education 🎓

  • PhD Scholar: Universiti Teknologi PETRONAS, Malaysia
  • MS Mathematics (Applied Mathematics): University of Science & Technology Bannu (CGPA: 4/4, 91.75%)
  • BS Mathematics (Numerical Sciences): University of Peshawar (CGPA: 2.5/4, 67%)
  • F.Sc: The City College of Arts and Science, Peshawar (75.09%)
  • S.S.C: Govt. High School Matta Qilla (75.02%)
  • Certificate of Teaching: AIOU Islamabad (70.2%)

Experience 🏫

  • Research and Teaching Assistant: Universiti Teknologi PETRONAS, Malaysia
    • Assisting master’s students in their research
    • Teaching Assistant for Undergraduate Mathematics
  • Research Assistant and Visiting Lecturer: University of Science and Technology Bannu, KPK, Pakistan (2018-2022)
    • Supervising lab environment and assisting students in various research areas
  • Lecturer (Mathematics): Dreams College Timergara KPK, Pakistan

Research Interests 🔬

Atta Ullah’s research interests include Mathematical Modelling, Applied and Computational Analysis, First-Order Non-Linear Ordinary Differential Equations, Mathematical Biology, and Numerical Simulations of real-world problems.

Awards 🏆

  • Secured First Position in Master of Philosophy in Applied Mathematics.

Publications 📚

  1. “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking”. AIMS Bioengineering, 2023. Read here (ISI Index, Q2).
  2. “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance”. Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023. Read here (Scopus Index, Q2).
  3. “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption”. Partial Differential Equations in Applied Mathematics, 2024. Read here (Scopus Index, Q2).
  4. “A mathematical model with control strategies for marijuana smoking prevention”. Electronic Research Archive, 2024. Read here (ISI Index, Q1).
  5. “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis”. Journal of Advanced Research in Applied Sciences and Engineering Technology, Accepted (Scopus Index, Q2).
  6. “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique”. Advanced Sustainable Technology International Conference 2024 (ASTECH 2024), Accepted.
  7. “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer”. City University International Journal of Computational Analysis, 2022.
  8. “Numerical Solution of Heat Equation using Modified Cubic B-spline Collocation Method”. Journal of Advanced Research in Numerical Heat Transfer, 2024. Read here (Scopus Index, Q1).