Habtamu Ayalew Engida | Mathematical Modelling | Editorial Board Member

Published on by Network Science

Dr. Habtamu Ayalew Engida | Mathematical Modelling | Editorial Board Member

Debre Markos University | Ethiopia

Dr. Habtamu Ayalew Engida is an accomplished mathematician specializing in Computational and Applied Mathematics, holding a Ph.D. in Mathematics from the Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya, where he successfully defended his thesis on “Evolution and Co-Dynamics of Melioidosis and Leptospirosis Diseases with Optimal Control and Cost-Effectiveness Analysis” in March 2023. He earned his MSc in Mathematics (Applied Stream) with Very Great Distinction from Mekelle University in 2013 and his BSc in Applied Mathematics, also with Very Great Distinction, from the University of Gondar in 2011. Since July 2013, Dr. Habtamu has served as a Lecturer, Seminar Project Advisor, and Community Service Provider in the Department of Applied Mathematics at Debre Markos University, Ethiopia, contributing over a decade of expertise in teaching, academic advising, and professional consultation to both regular and extension students across public and private institutions. His instructional portfolio includes courses such as Numerical Analysis, Number Theory, Discrete Mathematics and Graph Theory, Introduction to Topology, and Functions of Complex Variables, reflecting his broad academic proficiency and commitment to advancing mathematical education and research.

Profiles: Scopus

Featured Publications

"Malaria and leptospirosis co-infection: A mathematical model analysis with optimal control and cost-effectiveness analysis", Habtamu Ayalew Engida, Scientific African, 2025.

Misbah Ullah | Stochastic Neural Network | Best Faculty Award

Published on by Network Science

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

Published on by Network Science

Prof. Uri Yechiali | Queueing Theory | Best Paper Award

Tel Aviv University | Israel

Author Profile

Scopus

Orcid ID

Google Scholar

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

 

Dipesh | Mathematical Modelling | Best Paper Award

Published on by Network Science

Dr. Dipesh | Mathematical Modelling | Best Paper Award

SR University | India

Author Profile

Scopus

Orcid ID

Google Scholar

EARLY ACADEMIC PURSUITS

Dr. Dipesh began his academic journey with a strong foundation in mathematics, which ultimately led him to earn a Ph.D. in Mathematical Modelling. His doctoral work demonstrated a profound inclination toward theoretical and applied mathematics, particularly focusing on dynamic systems, delay differential equations, and bifurcation analysis. His dedication and scholarly potential were further underscored by his successful completion of a postdoctoral fellowship at Harran University, Turkey, where he deepened his research scope in mathematical and system modelling. His academic aspirations were visible early in his career, paving the way for numerous achievements and a future shaped by curiosity and rigorous inquiry.

PROFESSIONAL ENDEAVORS

Dr. Dipesh has held various academic and research positions across reputed institutions. Currently serving as an Assistant Professor in the Department of Mathematics at SR University, Telangana, he has also contributed significantly as a faculty member in Lovely Professional University (Punjab) in different departments, including the School of Chemical Engineering and the Department of Intellectual Property Rights. His experience spans teaching, research, and intellectual property management, showcasing his multidimensional capabilities. Notably, he coordinated national-level events such as RAFAS 2024 and workshops like the National Workshop on MATLAB and LaTeX (2016), reflecting his leadership and organizational acumen.

CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICAL MODELLING

Dr. Dipesh’s core research lies in the fields of mathematical modelling, system dynamics, and delay differential equations, with interdisciplinary applications spanning plant ecology, economics, public health, finance, and AI. His recent works analyze Hopf-bifurcations, stability of ecological systems, and chaos theory. He has authored multiple studies examining plant competition under allelopathic effects and extended his modelling frameworks to areas such as stock markets, hydrogel synthesis, digital ergonomics, and artificial intelligence systems. His contributions include copyright-registered mathematical software and models that reflect deep innovation in computational simulations.

IMPACT AND INFLUENCE

Through his teaching and research, Dr. Dipesh has influenced both academic and practical dimensions of applied mathematics. His workshops and lectures on Intellectual Property Rights have strengthened awareness and capability in patent drafting, FER response preparation, and legal aspects of innovation. His MATLAB-based simulation programs have had a measurable impact in facilitating accessible tools for examining ecological interactions and signal processing. His interdisciplinary research initiatives, particularly those exploring dynamic modelling in human-centric AI and financial systems, illustrate a far-reaching impact across disciplines and domains.

ACADEMIC CITES AND MEMBERSHIPS

Dr. Dipesh is a Life Member of the Agricultural Technology Development Society (ATDS) and has received significant accolades, including the Best Thesis Award (2023), Best Reviewer Award (2023) from the Asian Research Journal of Mathematics, and the prestigious Scientists Research Award (2025). These recognitions affirm his credibility and growing recognition in the academic community. Additionally, he has numerous papers under review in high-impact journals such as Alexandria Engineering Journal, Journal of Nonlinear Mathematical Physics, Computers and Electrical Engineering, and IEEE Transactions on Pattern Analysis and Machine Intelligence. His scholarly reach is increasing steadily, with his papers exploring cutting-edge intersections between mathematical theory and real-world application.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Dipesh envisions a career devoted to elevating institutional rankings, advancing quality teaching, and strengthening student placement strategies. His stated objective of fostering unity, optimizing resources, and engaging with the external environment underscores a visionary approach to institutional development. Looking ahead, his commitment to excellence, his interdisciplinary versatility, and his ability to bridge theory and practice position him as a future thought leader in mathematical modelling, sustainable system design, and AI-human interaction dynamics. He is expected to continue contributing transformative research and cultivating academic ecosystems that blend innovation, inclusivity, and global relevance.

OTHER IMPORTANT HIGHLIGHTS

In addition to his teaching and research credentials, Dr. Dipesh has served as Subject Expert in various mathematical domains (MTH174, MTH162, GEN333), developed software tools using MATLAB, and worked extensively on IPR-related capacity building. His 13 papers under review, with themes ranging from delay differential models in ecology to AI utility functions, signify his prolific scholarly activity and commitment to continuous advancement. His objective to integrate quality, speed, and collaborative spirit into academia aligns with the evolving needs of higher education and research ecosystems.

NOTABLE PUBLICATIONS

"Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations" 

  • Author: Dipesh; Pankaj kumar; Anjori Sharma
  • Journal: Partial Differential Equations in Applied Mathematics
  • Year: 2025

"Modelling the role of delay in blood flow dynamics in human body using delay differential equations" 

  • Author: Dipesh; Pankaj Kumar
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Year: 2025

"On the modeling the impact of delay on stock pricing fluctuations using delay differential equations" 

  • Author: Yaya Wang; Dipesh; Pankaj Kumar; Haci Mehmet Baskonus; Wei Gao
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Year: 2025

"Investigating the impact of human population and population pressure on forest biomass dynamics using delay differential equations" 

  • Author: Dalal, D.; Kumar, P.
  • Journal: Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology
  • Year: 2024

"Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator" 

  • Author: Qiliang Chen; Dipesh; Pankaj Kumar; Haci Mehmet Baskonus
  • Journal: AIMS Mathematics
  • Year: 2024