Dr. Bruce a. wade – Computational Mathematics – Best Researcher Award

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Dr. Bruce a. wade - Computational Mathematics - Best Researcher Award

University of Louisiana at Lafayette - United States

Author Profile 

SCOPUS 

Early academic pursuits 🎓

Bruce a. wade's journey in mathematics began with an unwavering passion for numerical analysis and computational mathematics. he pursued his bachelor’s degree in mathematics from the university of wisconsin-madison in 1982, followed by a master’s degree in mathematics in 1984. eager to delve deeper into the complexities of mathematical modeling and optimization, he completed his ph.d. in mathematics in 1987 under the guidance of professor j.c. strikwerda. during his doctoral research, he explored numerical methods for solving partial differential equations, setting the foundation for his future contributions to computational mathematics.

Professional endeavors 💼

Bruce wade has had a distinguished academic career, holding key positions at several esteemed institutions. he began his professional journey as a post-doctoral fellow at cornell university’s mathematical sciences institute, where he worked under the mentorship of l.b. wahlbin. he later joined the university of wisconsin–milwaukee, progressing from assistant professor to full professor, and ultimately serving as chair of the department of mathematical sciences. in 2018, he transitioned to the university of louisiana at lafayette, where he currently serves as professor and head of the department of mathematics. his leadership roles have significantly shaped academic programs, research initiatives, and technological advancements within these institutions.

Contributions and research focus 🔬

Bruce wade's research is deeply rooted in numerical analysis and computational mathematics, particularly in the areas of partial differential equations, optimization, data science, and machine learning. he has developed advanced numerical techniques for solving complex mathematical models, contributing to various fields such as industrial mathematics and stochastic processes. Computational Mathematics his interdisciplinary approach has led to significant advancements in modeling real-world phenomena, including pigment and filler settling in coatings and nonlinear control systems for the paper industry. his research also extends to numerical solutions of reaction-diffusion equations and adaptive techniques for satellite orbit calculations.

Accolades and recognition 🏆

Bruce wade’s contributions to mathematics have been widely recognized, earning him prestigious positions and honors. he was appointed as the c.b.i.t. tc/leqsf regents professor at the Computational Mathematics university of louisiana at lafayette in 2019. in addition, he has served as a professor emeritus at the university of wisconsin-milwaukee since 2018. his extensive list of grants from esteemed institutions, including the national science foundation (nsf) and the national security agency (nsa), showcases the significance of his research in applied mathematics and computational techniques.

Impact and influence 🌎

The impact of bruce wade's work extends beyond academia, influencing industries and governmental research initiatives. as the founder and director of the center for industrial mathematics at the university of wisconsin-milwaukee, he played a pivotal role in bridging the gap between theoretical mathematics and practical industrial applications. his collaborative projects with Computational Mathematics companies like rust-oleum corporation and rockwell automation have led to innovative solutions in material science and control systems. his research has not only enhanced scientific understanding but has also contributed to technological advancements with real-world implications.

Legacy and future contributions 🎨

Bruce wade’s legacy is defined by his unwavering commitment to advancing computational mathematics and fostering future generations of mathematicians. his mentorship and leadership have inspired countless students and researchers to pursue careers in numerical analysis and data science. as he continues his academic and research journey, his future contributions promise to further expand the applications of numerical modeling in various scientific domains. his dedication to exploring new mathematical frontiers ensures that his influence in the field of computational mathematics will endure for years to come.

Notable Publications 

  • Title: A fourth-order exponential time differencing scheme with dimensional splitting for non-linear reaction–diffusion systems
    Author(s): Emmanuel O. Asante-Asamani, Andreas Kleefeld, Bruce Alan Wade
    Journal: Journal of Computational and Applied Mathematics, 2025

  • Title: Global-Padé Approximation of the Three-Parameter Mittag-Leffler Function: Generalized Derivation and Numerical Implementation Issues
    Author(s): Yusuf O. Afolabi, Toheeb A. Biala, Ibrahim O. Sarumi, Bruce Alan Wade
    Journal: Communications on Applied Mathematics and Computation, 2025

  • Title: Two new generators of Archimedean copulas with their properties
    Author(s): Agnideep Aich, Ashit Baran Aich, Bruce Alan Wade
    Journal: Communications in Statistics - Theory and Methods, 2025

  • Title: Exploring a Mathematical Model with Saturated Treatment for the Co-Dynamics of Tuberculosis and Diabetes
    Author(s): Saburi Rasheed, Olaniyi S. Iyiola, S. I. Oke, Bruce Alan Wade
    Journal: Mathematics, 2024

Assist. Prof. Dr Shahid Hussain – Computational Mathematics – Best Researcher Award

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Assist. Prof. Dr Shahid Hussain - Computational Mathematics - Best Researcher Award

College of mathematics and System Sciences , Xinjiang University Urumqi - China 

Author Profile 

ORCID

📘 Early academic pursuits

Dr. Shahid Hussain embarked on his academic journey with a strong foundation in mathematics, earning a bachelor of science in mathematics (honors) from karakoram international university, pakistan. his early passion for numerical analysis and computational techniques was evident as he pursued his ms/m.phil in mathematical modeling and scientific computing from air university, islamabad, where he specialized in numerical solutions of partial differential equations and computational fluid dynamics. this academic trajectory set the stage for his research career in applied mathematics.

🧮 Professional endeavors

Following his academic achievements, dr. hussain pursued a ph.d. in applied mathematics with a focus on finite element methods at east china normal university, shanghai. his professional career is marked by teaching and research roles, where he has made significant contributions to computational mathematics. currently affiliated with xinjiang university, urumqi, china, dr. hussain has demonstrated expertise in magnatohydrodynamics, viscoelastic fluids, and fluid-fluid interaction, contributing to both theoretical and applied advancements in the field.

🔍 Contributions and research focus

Dr. Hussain’s research is centered on developing and applying numerical methods to solve complex problems in computational fluid dynamics and mathematical modeling. his work in finite Computational Mathematics element and finite difference methods has provided insights into the behavior of viscoelastic fluids and fluid interactions under various physical conditions. these contributions have not only advanced understanding in the field but also opened pathways for further exploration in magnatohydrodynamics and fluid mechanics.

🏅 Accolades and recognition

Throughout his career, dr. hussain has been recognized for his commitment to excellence in both teaching and research. his dedication and achievements have positioned him as a respected Computational Mathematics figure in computational mathematics. his ability to foster a collaborative and innovative environment among peers and students has earned him accolades in academic and research settings.

🌟 Impact and influence

Dr. Hussain’s influence extends beyond his immediate research outputs. as an educator, he has mentored students and researchers, instilling in them a passion for problem-solving and critical Computational Mathematics thinking. his collaborative approach and innovative methods have inspired a new generation of mathematicians to pursue challenging and impactful research.

🧭 Legacy and future contributions

With a solid foundation in applied mathematics and a vision for future advancements, dr. hussain aims to continue contributing to the fields of computational mathematics and fluid dynamics. his ongoing research and teaching endeavors promise to leave a lasting legacy, bridging theoretical advancements with real-world applications in science and engineering.

Notable Publications 

  • Stabilization of interconnected models with Nitsche's interface conditions using the two-grid approach: A finite element study
    • Authors: Shahid Hussain, Md. Abdullah Al Mahbub, Xinlong Feng, Fateh Ali Rana, Fazal Haq, Arshad Hussain
    • Journal: Physics of Fluids
  • On Fractional Operators Involving the Incomplete Mittag-Leffler Matrix Function and Its Applications
    • Authors: Ahmed Bakhet, Shahid Hussain, Mohra Zayed
    • Journal: Symmetry
  • A Linear Stabilized Incompressible Magnetohydrodynamic Problem with Magnetic Pressure
    • Authors: Shahid Hussain, Ahmed Bakhet, Ghada AlNemer, Mohammed Zakarya
    • Journal: Mathematics
  • Optimization and sensitivity analysis of heat transfer for Powell–Eyring fluid between rotating rolls with temperature-dependent viscosity: A mathematical modeling approach
    • Authors: Fateh Ali, Yanren Hou, Xinlong Feng, J. K. Odeyemi, M. Zahid, Shahid Hussain
    • Journal: Physics of Fluids
  • Entropy optimization in bio-convective chemically reactive flow of micropolar nanomaterial with activation energy and gyrotactic microorganisms
    • Authors: Shahid Hussain, Fazal Haq, Hassan Ali Ghazwani, Muzher Saleem, Arshad Hussain
    • Journal: Case Studies in Thermal Engineering

Mr. Syed Adeel Haneef Zaidi – Digital Twins in Supply Chian Management Performance – Best Researcher Award

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Mr. Syed Adeel Haneef Zaidi - Digital Twins in Supply Chian Management Performance - Best Researcher Award

École de technologie supérieure ÉTS - Canada

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Syed Adeel Haneef Zaidi began his academic journey with a deep passion for engineering and systems management. his educational foundation was built through a master's degree in engineering, which allowed him to specialize in industrial systems. this strong academic background not only gave him theoretical knowledge but also practical insights into the world of industrial systems engineering. his studies laid the groundwork for his future professional endeavors, where he combined academic excellence with practical expertise.

Professional endeavors 🏭

Adeel Zaidi has carved out a significant career in both academia and industry. since july 2018, he has been serving as a lab instructor ii in the industrial systems engineering department at the university of regina. in this role, he oversees laboratory experiments, develops new course content, and actively contributes to academic and administrative matters. before transitioning into academia, he worked in the fast-paced manufacturing industry at peel plastic products ltd. in brampton, ontario. here, he contributed to continuous improvement initiatives, troubleshooting automated machinery, and enhancing production processes.

Contributions and research focus 🔬

his contributions extend to both industrial and academic sectors. in academia, he plays a pivotal role in developing and revising laboratory contents for courses in industrial systems engineering, ensuring the continuous improvement of learning outcomes. he is involved in the installation and setup of cutting-edge lab equipment, ensuring students have access to up-to-date experimental setups. his research focus Digital Twins in Supply Chian Management Performance includes the application of simulation techniques and the integration of new equipment to enhance both learning and productivity in industrial processes.

Accolades and recognition 🏅

adeel zaidi's efforts in both the academic and industrial spheres have been met with recognition. at the university of regina, he is highly regarded for his dedication to student development, as he assists students with modeling, simulation, data collection, and project interpretation. his Digital Twins in Supply Chian Management Performance commitment to continuous professional development has enabled him to transfer valuable skills and knowledge to the next generation of engineers. his work at peel plastic products ltd. also demonstrated his ability to solve real-world problems, leading to improvements in quality and production efficiency.

Impact and influence 🌟

Adeel Zaidi's impact is felt in multiple areas. in academia, his role as a lab instructor influences the educational journey of countless engineering students, preparing them for successful careers in industrial systems. in the manufacturing sector, his contributions to continuous improvement Digital Twins in Supply Chian Management Performance and process optimization have directly led to enhanced production capacities and reduced costs. his work ensures that both the academic and industrial sectors benefit from his expertise in modern engineering solutions.

Legacy and future contributions 🔮

as a dedicated educator and engineer, adeel zaidi's legacy is one of innovation and continuous improvement. his contributions to developing state-of-the-art laboratory setups at the university of regina will benefit students for years to come. furthermore, his ability to apply advanced engineering principles to real-world industrial challenges positions him as a forward-thinking professional. his future contributions will likely focus on further enhancing educational techniques and improving industrial processes, ensuring his impact continues to grow.

Notable Publications 

Implementation of Inventory Management System in a furniture company 2012(16)

Unlocking the potential of digital twins in supply chains: A systematic review  2024

Dr. Ajay K. Palit – Computational Intelligence – Best Researcher Award

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Dr. Ajay K. Palit - Computational Intelligence - Best Researcher Award

University of Bremen - Germany

Professional Profile 

SCOPUS

EARLY ACADEMIC PURSUITS 🎓

Ajay K. Palit and Dobrivoje Popovic, distinguished scholars in the field of computational intelligence, began their academic journeys with a robust foundation in engineering and mathematics. Their early work laid the groundwork for their future contributions to the field of time series forecasting and industrial process control. Both scholars pursued advanced studies and research in their respective areas, developing a deep understanding of computational techniques and their applications in real-world scenarios.

PROFESSIONAL ENDEAVORS 🏢

Dr. Ajay K. Palit and Dr. Dobrivoje Popovic are both affiliated with the University of Bremen, Germany, where they continue to drive innovation in computational intelligence. Their professional careers are marked by significant roles in academia and industry, focusing on enhancing the effectiveness of time series forecasting through advanced computational techniques. Their expertise extends to the practical applications of these techniques in industrial systems and process control.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Palit and Popovic have made notable contributions to the field of computational intelligence, particularly in time series forecasting. Their research encompasses a range of intelligent technologies, including neural networks, fuzzy logic, and evolutionary computation. They have pioneered hybrid computational approaches, such as neuro-fuzzy and transparent fuzzy/neuro-fuzzy modeling, which offer improved quality, Computational Intelligence model building, and predictive control in industrial processes. Their work addresses the challenges of on-line application and computational efficiency in industrial settings.

ACCREDITATIONS AND RECOGNITION 🏅

Their pioneering work has been widely recognized and has earned them respect in the academic and industrial communities. The book "Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications" by Palit and Popovic is acclaimed for its Computational Intelligence comprehensive exploration of intelligent technologies and their practical applications. The authors' contributions are integral to the ongoing development and refinement of computational tools used in industrial process control and forecasting.

IMPACT AND INFLUENCE 🌍

The influence of Palit and Popovic’s work extends across various industries, including manufacturing, process control, and research. By advancing computational intelligence techniques, they have significantly improved the ability to forecast and control industrial processes. Their research has helped bridge the gap between theoretical knowledge and practical application, making a tangible impact on industrial efficiency Computational Intelligence and predictive accuracy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Ajay K. Palit and Dobrivoje Popovic continue to inspire and lead in their field, shaping the future of computational intelligence in time series forecasting. Their legacy is reflected in their innovative approaches and the ongoing relevance of their research in addressing complex industrial challenges. As they advance their work, they remain committed to exploring new computational techniques and applications, ensuring their contributions will have a lasting impact on the field.

NOTABLE PUBLICATIONS

Fault diagnosis of crosstalk induced glitches and delay faults  2010(1)

Test pattern generation and compaction for crosstalk induced glitches and delay faults  2010(6)

Decoupled victim model for the analysis of crosstalk noise between on-chip coupled interconnects  2009(14)

Equivalent victim model of the coupled interconnects for simulating crosstalk induced glitches and delays  2009(7)

Distributed RLGC transient model of coupled interconnects in DSM chips for crosstalk noise simulation 2008(8)