Misbah Ullah | Stochastic Neural Network | Best Faculty Award

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Mr. Misbah Ullah | Stochastic Neural Network | Best Faculty Award

City University of Science and Information Technology | Pakistan

Author Profile

Google Scholar

Early Academic Pursuits

Misbah Ullah began his academic journey in mathematics with a Bachelor of Science degree from the University of Peshawar, followed by a Master of Science (16 years) in Mathematics, where he laid a strong foundation in natural sciences and mathematical problem-solving. His academic excellence was further solidified with a second Master of Science (18 years) from City University, Peshawar, achieving a commendable CGPA of 3.77/4.0. His thesis, “Stochastic Modeling of HCV among Infected People Who Inject Drugs”, reflects his early inclination toward applying advanced mathematical methods to real-world health challenges.

Professional Endeavors

Throughout his academic career, Misbah Ullah has immersed himself in a dynamic research environment. He actively participated in conferences such as the International Conference on Emerging Trends in Engineering, Management & Sciences (ICETEMS-2023), showcasing his ability to contribute to interdisciplinary academic discussions. His collaboration with eminent researchers and mentors has further strengthened his professional growth and visibility in the international research community.

Contributions and Research Focus

Misbah’s research primarily focuses on the intersection of mathematics, epidemiology, and computational modeling. His contributions span stochastic modeling, numerical solutions, spectral collocation techniques, and the application of artificial neural networks to disease dynamics. He has published high-impact research articles, including works in Scientific Reports and International Journal of Biomathematics, covering topics such as hepatitis C, chikungunya virus modeling, and malicious code propagation in wireless sensor networks. His ability to merge deterministic, stochastic, and fractional approaches highlights his innovative mindset and technical expertise.

Impact and Influence

Through his work, Misbah Ullah has provided new insights into disease modeling, neural networks, and control analysis, enabling predictive frameworks for public health and cybersecurity challenges. His publications are gaining recognition in peer-reviewed international journals, demonstrating his potential to influence both theoretical mathematics and applied sciences. His interdisciplinary research strengthens the bridge between mathematical theories and their practical implementations in epidemiology and computer science.

Academic Citations

Although at an early stage of his academic career, Misbah’s research outputs are already positioned to attract significant citations due to their novelty and practical applications. His collaborations with international scholars and contributions in high-ranking journals indicate that his citation impact will grow steadily, further enhancing his academic footprint.

Legacy and Future Contributions

Looking ahead, Misbah Ullah aspires to expand his research on infectious disease dynamics, artificial neural networks, and fractional derivatives, providing advanced tools for scientific innovation. His long-term vision includes mentoring future researchers, contributing to global health solutions, and developing computational methods that combine accuracy with efficiency. His dedication to bridging mathematics with pressing societal issues promises a strong academic legacy and impactful contributions in years to come.

Conclusion

In summary, Misbah Ullah is a promising mathematician and researcher whose academic dedication, innovative research in stochastic and neural network modeling, and impactful contributions in infectious disease dynamics set him apart as an emerging leader in applied mathematics. His journey reflects both scholarly depth and societal relevance, making him a strong candidate for academic recognition and future leadership in the global research community.

Notable Publications

“A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique" 

  • Author: J Zhu, M Ullah, S Ullah, MB Riaz, AB Saqib, AM Alamri, SA AlQahtani
  • Journal: Scientific Reports
  • Year: 2025

“A Multi-Layer Computational Neural Network Approach for Solving Stochastic Within-Host Chikungunya Model with an Adaptive Immune Response" 

  • Author: F Yu, M Ullah, S Ullah, M Asiri, S Ullah Khan, M Qeshta
  • Journal: International Journal of Biomathematics
  • Year: 2025

“A Novel Stochastic Neural Network Framework for Modeling and Simulation of Within-Host Chikungunya virus Transmission with Latency" 

  • Author: S Li, M Ullah, S Ullah, T Muhammad, Q Iqbal
  • Journal: Knowledge-Based Systems
  • Year: 2025

 

 

Uri Yechiali | Queueing Theory | Best Paper Award

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Prof. Uri Yechiali | Queueing Theory | Best Paper Award

Tel Aviv University | Israel

Author Profile

Scopus

Orcid ID

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Early Academic Pursuits

Professor Emeritus Uri Yechiali embarked on his academic journey with a strong foundation in industrial engineering and operations research. He earned his B.Sc. (Cum Laude) in Industrial Engineering and an M.Sc. in Operations Research from the Technion – Israel Institute of Technology, showcasing his early aptitude for analytical modeling and systems optimization. His academic trajectory continued internationally when he pursued and completed a Ph.D. in Operations Research at Columbia University, New York—a significant milestone that would set the stage for a remarkable career in mathematical modeling and queueing theory.

Professional Endeavors

Following the completion of his doctorate, Professor Yechiali began his long-standing affiliation with Tel Aviv University in 1971, where he steadily rose through the academic ranks, becoming a full professor in 1981. His career also included prestigious visiting professorships at renowned institutions such as Columbia University, New York University, INRIA in France, and Eurandom in the Netherlands, where he held the Beta Chair. These international academic engagements reflect the high regard in which he is held across the global research community.

Contributions and Research Focus

Professor Yechiali has made seminal contributions to the fields of Queueing Theory and Stochastic Modeling, authoring over 160 scientific publications. His research has significantly advanced theoretical understanding and practical applications in operations research. He is especially noted for his pioneering work on vacation models in queues, queues in random environments, and polling systems. His investigations extended into diverse applications, including the Israeli queue, optimal policies for live-organ transplants, genetic regulatory networks, and the asymmetric simple inclusion process (ASIP). Other notable areas of his research include tandem Jackson networks, ticket queues, layered queue systems, and statistical mathematical programming.

Supervision and Academic Influence

Over his illustrious career, Professor Yechiali has supervised 43 Master’s students and 14 Ph.D. candidates, many of whom have gone on to hold faculty positions at prestigious international universities. His mentorship has been instrumental in cultivating a new generation of researchers in operations research and applied mathematics. His leadership in the academic community has had a lasting influence on both theoretical frameworks and practical applications in queueing systems.

Impact and Recognition

Professor Yechiali’s research excellence has been recognized with numerous research grants from both Israeli and European institutes, underlining the broad support and value of his work. In 2004, he was awarded the Life Achievement Award by the Operations Research Society of Israel, a distinguished recognition of his lifelong commitment and contributions to the field. His research not only deepened theoretical insights but also provided models with real-world applicability in fields such as healthcare, telecommunications, and logistics.

Academic Citations and Global Standing

With a vast body of work accessible at his academic homepage, Professor Yechiali's publications are widely cited across disciplines, indicating the global impact and interdisciplinary relevance of his research. His work on stochastic systems and queueing models continues to be foundational, cited in both theoretical studies and applied research papers that address emerging challenges in system optimization, network performance, and resource allocation.

Legacy and Future Contributions

Professor Yechiali’s legacy is defined not only by his publications and awards but also by the enduring frameworks he introduced and the academic minds he mentored. His ongoing work in tandem stochastic systems, generalized ASIP models, ticket queues, and retrial networks signals that he remains at the forefront of research even after achieving emeritus status. His continuing efforts in developing optimal allocation policies for live-organ transplants underscore his commitment to leveraging mathematical modeling for the betterment of society.

Conclusion

In summary, Professor Uri Yechiali stands as a towering figure in the domains of queueing theory and stochastic modeling. His academic rigor, innovative contributions, global teaching roles, and impactful mentorship have not only shaped the evolution of his discipline but have also inspired a vast network of scholars and practitioners worldwide. With a legacy anchored in both theoretical advancement and real-world application, his work continues to illuminate new pathways in operations research and applied mathematics.

Notable Publications

"Queues with service resetting" 

  • Author: Ofek Lauber Bonomo; Uri Yechiali; Shlomi Reuveni
  • Journal: European Journal of Operational Research
  • Year: 2025

"The Number of Overlapping Customers in Priority Queues" 

  • Author: O Boxma, J Pender, U Yechiali
  • Journal: Operational Research
  • Year: 2025

"Inter-Departure Time Correlations in PH/G/1 Queues" 

  • Author: R Sagron, U Yechiali
  • Journal: Mathematics
  • Year: 2024

"The Maximum Overlap Time in the Mλ/G/1/k Queue" 

  • Author: Ofek Lauber Bonomo; Uri Yechiali; Shlomi Reuveni
  • Journal: Eurandom Report
  • Year: 2024

"A generalized ASIP with arrivals to all sites and particle movements in all directions" 

  • Author: Y Yeger, U Yechiali
  • Journal: Annals of Operations Research
  • Year: 2024

 

Haripriya | Complex dynamical Networks | Best Researcher Award

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Haripriya | Complex dynamical Networks | Best Researcher Award

Vellore Institute of Technology | India

Author Profile

Scopus

BIOGRAPHY OF M. HARIPRIYA: A RISING SCHOLAR IN MATHEMATICAL SCIENCES

EARLY ACADEMIC PURSUITS

M. Haripriya’s journey into the world of mathematics began with strong academic foundations. She completed her SSLC in 2012 from GRG Matric. Higher Secondary School , followed by her HSC from Mani Higher Secondary School in 2014. Her passion for numbers and logical reasoning guided her to pursue a Bachelor of Science in Mathematics at Nirmala College for Women, Coimbatore, where she graduated in 2017. Demonstrating a deep interest in education, she earned a Bachelor of Education (B.Ed) in Mathematics from Avinashilingam Institute, Coimbatore, in 2019. Her academic momentum continued as she completed her Master of Science (M.Sc) in Mathematics at PSGR Krishnammal College for Women, Coimbatore.

PROFESSIONAL ENDEAVORS

Haripriya’s academic career is closely aligned with her commitment to both teaching and research. While she has not explicitly listed professional teaching roles, her academic path, particularly her B.Ed qualification, suggests a foundation in pedagogy and mathematics instruction. Her current pursuit of a Ph.D. in Mathematics at the Vellore Institute of Technology (VIT), Chennai, beginning in 2022, marks her serious foray into scholarly research and higher education leadership.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPLEX DYNAMICAL NETWORKS

Haripriya’s research delves into Complex Dynamical Networks, with a focus on Synchronization, Lyapunov Stability, and Control Theory. These topics are at the intersection of applied mathematics, systems engineering, and theoretical physics, and play a critical role in modern technology such as neural networks, power grids, and communication systems. Her notable contribution includes a scholarly article titled: “Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach”, which reflects the novelty and technical depth of her work.

IMPACT AND INFLUENCE

Though early in her research journey, Haripriya’s work in the field of complex networks shows promising potential. By exploring advanced synchronization methods for delayed systems, she contributes to enhancing the stability and control mechanisms in interconnected systems—relevant in both scientific and industrial domains. Her work is expected to influence future research in control systems, intelligent networks, and robust systems design.

ACADEMIC CITES

While citation metrics are not provided yet, her research area is niche and rapidly expanding. As she continues to publish in reputed journals and present at conferences, her visibility in the academic world is bound to grow. Her foundational knowledge in mathematical theory, paired with practical research tools like MATLAB and LaTeX, positions her well for impactful scholarly output.

PERSONAL TRAITS AND SKILLS

M. Haripriya stands out not only for her academic proficiency but also for her personal and professional skills. She is known for her problem-solving ability, good communication, teamwork, time management, and active participation—all crucial traits for a successful researcher. Her computer proficiency in MATLAB and LaTeX further enhances her ability to conduct simulations and prepare high-quality scientific documentation.

LEGACY AND FUTURE CONTRIBUTIONS

With her rigorous academic background and active research in cutting-edge mathematical domains, Haripriya is poised to make lasting contributions to the field of dynamical systems and control theory. Her dedication to both learning and innovation reflects her potential to become a thought leader and educator. As she continues her Ph.D., the academic community can anticipate impactful research publications, international collaborations, and valuable contributions to interdisciplinary applications in science and engineering.

SUMMARY: A MATHEMATICIAN IN THE MAKING

In summary, M. Haripriya exemplifies the qualities of a dedicated academic and researcher. Her educational journey, domain expertise, and research aspirations make her a strong candidate for accolades such as the Best Researcher Award. With a blend of theoretical knowledge, practical application, and an unwavering commitment to growth, she is undeniably on a path toward academic excellence and societal impact.

NOTABLE PUBLICATIONS

"Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach" 

  • Author: Haripriya Muralikrishnan, N. Padmaja, E. Umamaheswari, Lakshmanan Shanmugam
  • Journal: Neurocomputing
  • Year: 2025