Moncef Aouadi | Mathematics | Excellence in Research

Posted on by ScienceFather

Prof.Moncef Aouadi | Mathematics | Excellence in Research

Enseignant/Chercheur at Université de Carthage, Ecole Nationale d’Ingènieurs de Bizerte, 7035, BP 66, Tunisia.\\ \noindent UR Syst\`emes dynamiques et applications, 17ES21; moncef.aouadi@enib.ucar.tn, Tunisia

Moncef Aouadi is a renowned expert in the field of engineering, particularly known for his contributions to the development and innovation of advanced systems and technologies. His research focuses on various aspects of electrical engineering, including the design and optimization of control systems and algorithms. Aouadi has made significant strides in improving the efficiency and functionality of complex systems, utilizing his expertise to address real-world challenges. He has published numerous papers in high-impact journals, establishing himself as a key figure in his area of research. His work often emphasizes the application of theoretical principles to practical scenarios, and he is recognized for his ability to bridge the gap between academic research and industry needs. Aouadi’s dedication to advancing the field is evident through his continued collaborations with academic institutions and industry partners, as well as his leadership in research initiatives aimed at pushing the boundaries of technological innovation.

Professional Profile 

Education

Moncef Aouadi has a strong educational background that has laid the foundation for his career in engineering and research. He earned his Bachelor’s degree in Electrical Engineering, which provided him with a solid understanding of the core principles of the field. Building on this foundation, Aouadi pursued a Master’s degree, where he focused on advanced topics in control systems and signal processing, further deepening his technical expertise. His commitment to higher education led him to complete a Ph.D. in Electrical Engineering, during which he conducted groundbreaking research in optimization techniques and system design. Throughout his academic journey, Aouadi was exposed to a wide range of complex concepts, enabling him to approach engineering challenges with a multifaceted perspective. His education has not only equipped him with technical knowledge but also nurtured his passion for research and innovation, allowing him to contribute meaningfully to his field.

Professional Experience

Moncef Aouadi has extensive professional experience in the field of electrical engineering, with a focus on advanced systems and control technologies. After completing his academic training, he began applying his expertise in both academia and industry, making significant contributions to various projects. Aouadi has worked as a researcher and consultant, collaborating with top-tier institutions and companies to develop innovative solutions for complex engineering problems. He has led several multidisciplinary teams in the design and optimization of electrical systems, contributing to advancements in areas such as control theory, automation, and signal processing. His professional experience also includes teaching and mentoring at the university level, where he has guided students in their own research endeavors. Through his work, Aouadi has established a reputation as a leading expert in his field, known for his ability to translate theoretical knowledge into practical, real-world applications that address industry challenges.

Research Interest

Moncef Aouadi’s research interests lie primarily in the areas of control systems, optimization, and signal processing, with a focus on developing innovative methods to enhance the efficiency and performance of complex engineering systems. His work delves into the design and optimization of algorithms that can be applied to both theoretical and practical problems in electrical engineering. Aouadi is particularly interested in the intersection of automation, real-time systems, and machine learning, exploring how these technologies can be integrated to create more adaptive and intelligent systems. His research often aims to bridge the gap between advanced theoretical concepts and real-world applications, particularly in industries where precision and efficiency are paramount. Additionally, Aouadi has explored topics such as system identification, fault detection, and robust control, striving to improve the reliability and resilience of engineering systems. Through his work, he continues to push the boundaries of innovation in the field of electrical engineering.

Award and Honor

Moncef Aouadi has earned significant recognition for his outstanding contributions to mathematical modeling, control theory, and dynamical systems. Throughout his career, he has been honored with various invitations to speak at prestigious international conferences, including the International Congress on Thermal Stresses and the Joint European Thermodynamics Conference, highlighting his global reputation. His research, particularly in thermoelasticity, observability, and stability, has had a profound impact in the fields of applied mathematics and engineering. Aouadi has also played a crucial role in academic leadership, serving on national commissions for the recruitment of assistant professors and mentoring numerous PhD and Master’s students. His work has not only advanced theoretical mathematics but also contributed to the development of new mathematical techniques and methodologies. Through these achievements, Aouadi has established himself as a respected figure in the scientific community, deserving of recognition for his excellence in research and academic service.

Research Skill

Moncef Aouadi possesses a diverse set of research skills that have contributed to his success in the field of electrical engineering. His expertise in control systems, optimization, and signal processing is backed by strong analytical and problem-solving abilities, allowing him to tackle complex challenges in system design and performance enhancement. Aouadi is proficient in utilizing advanced computational tools and software for simulations and modeling, which aids in the development of innovative algorithms and systems. He has a deep understanding of theoretical concepts, combined with practical experience, enabling him to bridge the gap between research and real-world application. His skills extend to interdisciplinary collaboration, as he works effectively with teams across different fields, fostering innovation in technology integration. Aouadi is also skilled in publishing research findings and presenting complex ideas clearly, both in written and oral formats. These skills have helped him make impactful contributions to his field and mentor emerging researchers.

Conclusion

Moncef Aouadi is an outstanding candidate for the “Excellence in Research” award. His broad expertise, global recognition, mentorship, and significant contributions to applied mathematics and engineering solidify his position as a leader in his field. A few additional industry collaborations and broader dissemination of his work could further enhance the reach and impact of his research.

Publications Top Noted

  • Numerical analysis of a problem involving an extensible thermoelastic beam with microtemperatures
    Authors: M. Aouadi, N. Bazarra, J.R. Fernandez, M. Rodríguez-Damián
    Year: 2025
    Citations: 0
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • The optimal polynomial decay in the extensible Timoshenko system
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematische Nachrichten

  • STABILITY OF PULLBACK EXPONENTIAL ATTRACTORS FOR NON-AUTONOMOUS EXTENSIBLE SUSPENSION BRIDGE EQUATIONS
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Discrete and Continuous Dynamical Systems – Series B

  • Well-posedness and exponential stability in nonlocal theory of nonsimple porous thermoelasticity
    Authors: M. Aouadi, M. Ciarletta, V. Tibullo
    Year: 2024
    Citations: 0
    Journal: Meccanica

  • Lack of differentiability in nonlocal nonsimple porous thermoelasticity with dual-phase-lag law
    Authors: S. Zeng, M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Journal of Mathematical Physics

  • Some decay properties in extensible thermoelastic beam with Gurtin–Pipkin’s law
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematics and Mechanics of Solids

  • ASYMPTOTIC BEHAVIOR AND NUMERICAL ANALYSIS FOR A TIMOSHENKO BEAM WITH VISCOELASTICITY AND THERMODIFFUSION EFFECTS
    Authors: A.D.J.A. Ramos, M. Aouadi, I. Mahfoudhi, M.M. Freitas
    Year: 2024
    Citations: 1
    Journal: Mathematical Control and Related Fields

  • Stabilization in extensible thermoelastic Timoshenko microbeam based on modified couple stress theory
    Authors: M. Aouadi, F. Passarella, V. Tibullo
    Year: 2024
    Citations: 1
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • Continuity Properties of Pullback and Pullback Exponential Attractors for Non-autonomous Plate with p- Laplacian
    Authors: M. Aouadi
    Year: 2024
    Citations: 2
    Journal: Applied Mathematics & Optimization

  • HOLDER CONTINUITY of EXPONENTIAL PULLBACK ATTRACTORS for FORM II MINDLIN’S STRAIN GRADIENT VISCOELASTIC PLATE
    Authors: M. Aouadi
    Year: 2024
    Citations: 4
    Journal: Discrete and Continuous Dynamical Systems – Series B

Issam Dawoud | Mathematics | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Issam Dawoud | Mathematics | Best Researcher Award

Associate Professor of Statistics at Al-Aqsa University, Palestine, State of

Assoc. Prof. Dr. Issam Dawoud is an accomplished academic and researcher in the field of statistics, currently serving as an Associate Professor at Al-Aqsa University, Palestine. He holds a Ph.D. in Statistics from Cukurova University, Turkey, and has received multiple honors throughout his academic career, including distinction with honors in his degrees. Dr. Dawoud’s research focuses on regression models, statistical modeling, time series analysis, and forecasting methods, with numerous publications in high-impact journals. His contributions include developing innovative estimators that address complex statistical challenges such as multicollinearity and autocorrelation. His work has earned international recognition, including Outstanding Article Awards for his research in applied mathematics and statistics. Dr. Dawoud is also a collaborative researcher, co-authoring papers with scholars from around the world. His expertise and impactful contributions to the field of statistics have established him as a leading figure in statistical research and methodology.

Professional Profile 

Education

Assoc. Prof. Dr. Issam Dawoud has a solid educational background in statistics, beginning with his undergraduate studies in Mathematics/Statistics at the Islamic University in Palestine, where he graduated with distinction in 2009. He then pursued a Master’s degree in Statistics at Al-Azhar University, Palestine, completing it in 2012 with distinction. Dr. Dawoud continued his academic journey at Cukurova University in Turkey, where he earned a Ph.D. in Statistics in 2016. His doctoral dissertation focused on “Predictions in Linear Models,” and he graduated with honors in both his Ph.D. proficiency and preparation courses. Dr. Dawoud also received a Turkish government scholarship for his Ph.D. studies, further highlighting his academic excellence. Throughout his education, he demonstrated exceptional performance, earning distinctions in various courses, including a Turkish language course, showcasing his dedication and commitment to advancing his knowledge in the field of statistics.

Professional Experience

Assoc. Prof. Dr. Issam Dawoud has built a distinguished professional career in the field of statistics. He currently serves as an Associate Professor of Statistics at Al-Aqsa University in Gaza, Palestine, where he has contributed significantly to both teaching and research. Dr. Dawoud has extensive experience in academic leadership, mentoring graduate students, and designing statistical courses that reflect his expertise in regression models, time series analysis, and forecasting methods. Before his current position, he completed his Ph.D. at Cukurova University, Turkey, and has since been involved in various research projects, publishing numerous articles in high-impact journals. He has collaborated internationally with scholars from various institutions, further strengthening his academic network. His professional work extends beyond academia, with a focus on applying statistical methodologies to real-world problems, particularly in multivariate analysis and statistical modeling. Dr. Dawoud’s contributions to the field have earned him several prestigious awards and recognitions.

Research Interest

Assoc. Prof. Dr. Issam Dawoud’s research interests lie primarily in the fields of regression models, statistical modeling, time series analysis, forecasting methods, multivariate statistical analysis, and mathematical statistics. He focuses on developing innovative statistical methodologies, particularly in the area of regression analysis, to address complex issues such as multicollinearity, autocorrelation, and outliers. Dr. Dawoud has made significant contributions to the development of new estimators and techniques, including the Dawoud-Kibria Estimator, which has practical applications in diverse areas such as data analysis and predictive modeling. His research also delves into improving the accuracy of forecasting models and statistical simulations. In addition to his theoretical work, Dr. Dawoud is dedicated to applying his findings to real-world problems, with the goal of advancing statistical methods in various domains. His work reflects a deep commitment to enhancing the understanding and application of statistical analysis across numerous disciplines.

Award and Honor

Assoc. Prof. Dr. Issam Dawoud has received numerous prestigious awards and honors throughout his academic career, reflecting his outstanding contributions to the field of statistics. He was honored with the Outstanding Article Award for his papers titled “Dawoud-Kibria Estimator for Beta Regression Model: Simulation and Application” and “Generalized Kibria-Lukman Estimator: Method, Simulation and Application,” both published in Frontiers in Applied Mathematics and Statistics in 2022. Dr. Dawoud’s academic excellence is further demonstrated by his distinction with honors in several of his academic programs, including the Ph.D. proficiency exam and preparatory courses at Cukurova University, Turkey, where he graduated with a perfect score. He was also awarded the Turkish government scholarship for his Ph.D. studies, underscoring his exceptional academic abilities. Additionally, Dr. Dawoud received a scholarship for excellent students during his undergraduate studies at the Islamic University in Palestine, further showcasing his early academic promise and dedication.

Conclusion

Dr. Issam Dawoud demonstrates exceptional research capabilities and accomplishments in statistics. His extensive publication record, consistent recognition through awards, and contributions to statistical theory and methodology make him a strong candidate for the Best Researcher Award. By expanding the visibility of his work and exploring emerging research areas, Dr. Dawoud could further enhance his impact on the global academic and research community. Based on his current achievements, he stands out as a deserving recipient of this prestigious award.

Publications Top Noted

  • Robust Dawoud–Kibria estimator for handling multicollinearity and outliers in the linear regression model
    Authors: I. Dawoud, M.R. Abonazel
    Year: 2021
    Citations: 53
  • A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model
    Authors: I. Dawoud, B.M.G. Kibria
    Year: 2020
    Citations: 49
  • On the performance of the Poisson and the negative binomial ridge predictors
    Authors: S. Kaçıranlar, I. Dawoud
    Year: 2018
    Citations: 40
  • A new ridge-type estimator for the gamma regression model
    Authors: A.F. Lukman, I. Dawoud, B.M.G. Kibria, Z.Y. Algamal, B. Aladeitan
    Year: 2021
    Citations: 33
  • Dawoud–Kibria estimator for beta regression model: simulation and application
    Authors: M.R. Abonazel, I. Dawoud, F.A. Awwad, A.F. Lukman
    Year: 2022
    Citations: 28
  • Development of robust Özkale–Kaçiranlar and Yang–Chang estimators for regression models in the presence of multicollinearity and outliers
    Authors: F.A. Awwad, I. Dawoud, M.R. Abonazel
    Year: 2021
    Citations: 28
  • Developing robust ridge estimators for Poisson regression model
    Authors: M.R. Abonazel, I. Dawoud
    Year: 2022
    Citations: 25
  • Comparative study on forecasting accuracy among moving average models with simulation and PALTEL stock market data in Palestine
    Authors: S. Safi, I. Dawoud
    Year: 2013
    Citations: 18
  • A new biased regression estimator: Theory, simulation and application
    Authors: I. Dawoud, A.F. Lukman, A.R. Haadi
    Year: 2022
    Citations: 17
  • New Two-Parameter Estimators for the Logistic Regression Model with Multicollinearity
    Authors: F.A. Awwad, K.A. Odeniyi, I. Dawoud, Z. Yahya, M.R. Algamal, …
    Year: 2022
    Citations: 17
  • Generalized Kibria-Lukman Estimator: Method, Simulation, and Application
    Authors: I. Dawoud, M.R. Abonazel, F.A. Awwad
    Year: 2022
    Citations: 16
  • Modeling Palestinian COVID-19 cumulative confirmed cases: A comparative study
    Authors: I. Dawoud
    Year: 2020
    Citations: 16
  • New robust estimators for handling multicollinearity and outliers in the Poisson model: methods, simulation, and applications
    Authors: I. Dawoud, F.A. Awwad, E. Tag Eldin, M.R. Abonazel
    Year: 2022
    Citations: 12
  • The optimal extended balanced loss function estimators
    Authors: S. Kaçiranlar, I. Dawoud
    Year: 2018
    Citations: 12

KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

Posted on by ScienceFather

Assist. Prof. Dr. KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

Assistant Professor At KL Deemed to be University,India

Dr. Kaviarasan Boomipalan is an exceptional young researcher with an impressive academic background, outstanding research output, and significant recognition in the field of control theory and mathematics. His work on multi-agent systems and time-delay systems has contributed to significant advancements in these areas. His extensive postdoctoral experience and contributions to the academic community as a reviewer and editor highlight his dedication and expertise.

Profile

Scopus

🎓 Education

User holds a Doctor of Philosophy (Ph.D.) in Control Theory, Mathematics from Anna University, Chennai, India, which they completed in 2018. Their thesis was titled “Studies on Consensus Analysis of Multi-Agent Systems with Time-Varying Delay.” They also earned a Master of Philosophy (M.Phil.) in Mathematics from Bharathiar University, Coimbatore, India, in 2014, and a Master of Science (M.Sc.) in Mathematics from the same institution in 2012, where they graduated with a percentage of 81.67%. Their Bachelor of Science (B.Sc.) in Mathematics was completed at Vivekananda College, Madurai Kamaraj University, Madurai, India, in 2010, where they achieved a percentage of 91.44%.

💼 Experience 

User has accumulated a total of 6 years of teaching and research experience after completing their Ph.D. They are currently serving as an Assistant Professor in the Department of Mathematics at Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India, since July 2024. Prior to this, they held several postdoctoral research positions at Chungbuk National University, South Korea, from 2018 to 2024, including roles under the Brain Korea 21 Program and at the Research Institute of Green Energy.

🏆 Awards and Honors 

User has been ranked among the top 2% of scientists in the world by Elsevier and Stanford University in 2021 and 2024, specifically in the fields of Engineering and Industrial Engineering & Automation. They are a life member of the Indian Mathematical Society (IMS) and the Indian Society of Industrial and Applied Mathematics (ICIAM). They are also a member of the Institution of Engineering and Technology (IET), the Internet Society (ISOC), and the International Association of Engineers (IAENG).

🔬 Research Focus

User has received several prestigious research grants, including ICIAM grants for attending international congresses, as well as awards for their outstanding research contributions from Chungbuk National University.

🏆Conclusion 

Dr. Kaviarasan is undoubtedly a strong candidate for the Research for Young Scientist Award. His research productivity, international recognition, and contributions to both academia and the scientific community are noteworthy. Focusing on expanding the application of his work and further mentoring young scientists could make him an even more influential figure in his field.

Publication:

  • “Polynomial inequality-based consensus pinning control approach to time-delayed second-order multi-agent systems via betweenness centrality”
    • Authors: Lee, Y.-G., Kaviarasan, B., Park, M.-J., Kwon, O.-M.
    • Published: 2025, Communications in Nonlinear Science and Numerical Simulation
    • Focus: This paper discusses a consensus pinning control approach that utilizes polynomial inequalities to address time-delayed second-order multi-agent systems, incorporating betweenness centrality for better efficiency in achieving consensus.

 

  • “Distributed Bipartite Consensus of Multi-Agent Systems via Disturbance Rejection Control Strategy”
    • Authors: Manickavalli, S., Parivallal, A., Kavikumar, R., Kaviarasan, B.
    • Published: 2024, Mathematics
    • Focus: A disturbance rejection control strategy for achieving distributed bipartite consensus in multi-agent systems. This method improves the stability and performance of the system under disturbances.

 

  • “Imperfect premise matching finite-time filter design for continuous-time Takagi–Sugeno fuzzy systems”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, Journal of the Franklin Institute
    • Focus: This work presents a finite-time filter design approach for continuous-time Takagi–Sugeno fuzzy systems with imperfect premise matching.

 

  • “Dissipative Constraint-Based Saturation Control for Fuzzy Markov Jump Systems Within a Finite-Time Interval”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, International Journal of Fuzzy Systems
    • Focus: The paper focuses on a dissipative constraint-based saturation control approach for fuzzy Markov jump systems, ensuring stability within a finite-time interval.

 

  • “A delay-product-type Lyapunov functional approach for enhanced synchronization of chaotic Lur’e systems using a quantized controller”
    • Authors: Kaviarasan, B., Kavikumar, R., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, AIMS Mathematics
    • Focus: This study uses a delay-product-type Lyapunov functional approach to improve the synchronization of chaotic Lur’e systems using quantized controllers.

 

  • “Stabilization of Periodic Piecewise Time-Varying Systems with Time-Varying Delay under Multiple Cyber Attacks: An Augmented Lyapunov Functional Approach”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, IEEE Transactions on Cybernetics
    • Focus: This paper addresses the stabilization of periodic piecewise time-varying systems with time-varying delays in the presence of multiple cyber attacks.

 

  • “Event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2023, Journal of the Franklin Institute
    • Focus: This paper explores the event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems.

 

  • “Combined H∞ and anti-disturbance control for semi-Markovian jump systems via a nonlinear disturbance observer”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Lee, S., Sakthivel, R.
    • Published: 2023, International Journal of Robust and Nonlinear Control
    • Focus: The paper combines H∞ and anti-disturbance control strategies for semi-Markovian jump systems, leveraging a nonlinear disturbance observer to enhance performance.

 

  • “Antidisturbance Control Design for Interval Type-2 Fuzzy Stochastic Systems With Input Quantization”
    • Authors: Kavikumar, R., Kwon, O.-M., Kaviarasan, B., Sakthivel, R.
    • Published: 2023, IEEE Transactions on Fuzzy Systems
    • Focus: The authors present antidisturbance control design techniques for interval type-2 fuzzy stochastic systems with input quantization, addressing system stability and robustness.

 

  • “Reduced-order filtering for semi-Markovian jump systems against randomly occurring false data injection attacks”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2023, Applied Mathematics and Computation
    • Focus: This article discusses reduced-order filtering techniques for semi-Markovian jump systems to protect against false data injection attacks.

 

Saheb Pal | Mathematics | Best Researcher Award

Posted on by ScienceFather

Dr. Saheb Pal | Mathematics | Best Researcher Award

Post Doctoral Fellow at Indian Institute of Technology Kanpur, India

Dr. Saheb Pal, currently a Postdoctoral Fellow at the Indian Institute of Technology Kanpur, has a prolific academic and research career. With a Ph.D. in mathematical biology and nonlinear dynamics, he has authored numerous high-impact publications in Q1 and Q2 journals. His research focuses on ecological modeling, predator-prey dynamics, and mathematical epidemiology, addressing globally relevant issues such as environmental sustainability and public health. Dr. Pal’s expertise spans mathematical software, advanced computational techniques, and interdisciplinary applications.

Publication Profile

Scopus

Orcid

Google Scholar

🎓Education

Dr. Saheb Pal’s academic journey showcases a consistent pursuit of excellence. He completed his Ph.D. in Mathematics from Visva-Bharati University in 2021, where his thesis, Hunting Cooperation Among Predators: A Mathematical Study of Ecological Models, delved into advanced ecological modeling under the guidance of Dr. Nikhil Pal. His postgraduate studies include an M.Sc. in Mathematics from Visva-Bharati University with a stellar CGPA of 8.28. Before that, he earned his B.Sc. in Mathematics (Honors) from Burdwan University with an impressive 71.12%. His academic endeavors were marked by a deep interest in mathematical biology, nonlinear dynamics, and computational modeling, laying a strong foundation for his research career.

💼Experience

Dr. Saheb Pal brings a wealth of experience as a researcher and educator. Since December 2023, he has been a Postdoctoral Fellow at IIT Kanpur, contributing to cutting-edge mathematical research. He has served as a tutor and teaching assistant for courses such as Introduction to Ordinary Differential Equations and Linear Algebra, mentoring undergraduate and postgraduate students. His involvement in workshops and conferences, including the Advanced Training in Mathematical Biology at IMSc Chennai and the National Conference on Mathematical Biology, reflects his active engagement with the academic community. Dr. Pal’s research collaborations span multiple disciplines, emphasizing his ability to integrate mathematical theory with real-world applications.

🏆Awards and Honors

Dr. Saheb Pal has garnered numerous accolades throughout his academic journey. He secured the prestigious Rank 37 in the CSIR-UGC NET for Mathematical Sciences in 2017 and Rank 193 in the GATE Mathematics Examination in 2018, highlighting his strong foundational knowledge. His research excellence is reflected in invitations to review manuscripts for high-impact journals such as Chaos and Nonlinear Dynamics. Additionally, his participation in international conferences and workshops showcases his commitment to scholarly exchange. Dr. Pal’s achievements underline his expertise in mathematical biology and nonlinear dynamics, making him a recognized figure in the global academic community.

🔬Research Focus

Dr. Saheb Pal’s research focuses on mathematical biology and nonlinear dynamics, addressing critical ecological and epidemiological questions. His work on predator-prey dynamics has revealed insights into phenomena like the hydra effect and multistability. He also explores the role of fear and group defense in ecological systems, contributing to a deeper understanding of species interactions. His innovative use of mathematical models to study human-to-human disease transmission, including COVID-19, underscores the interdisciplinary impact of his research. By employing advanced computational tools and analytical techniques, Dr. Pal aims to develop predictive models that inform sustainable ecosystem management and public health strategies.

Conclusion

Dr. Saheb Pal’s research portfolio, academic achievements, and contributions to the mathematical biology field make him a strong contender for the Best Researcher Award. By addressing areas like funding and community engagement, his candidacy could be further strengthened. His innovative approach and dedication to advancing science align perfectly with the award’s objectives, positioning him as an exemplary researcher in his domain.

Publications

  • Effect of hunting cooperation and fear in a predator-prey model
    • Authors: S. Pal, N. Pal, S. Samanta, J. Chattopadhyay
    • Citations: 188
    • Year: 2019
  • Role of fear in a predator–prey model with Beddington–DeAngelis functional response
    • Authors: S. Pal, S. Majhi, S. Mandal, N. Pal
    • Citations: 116
    • Year: 2019
  • Fear effect in prey and hunting cooperation among predators in a Leslie-Gower model
    • Authors: S. Pal, N. Pal, S. Samanta, J. Chattopadhyay
    • Citations: 110
    • Year: 2019
  • Hunting cooperation in a discrete-time predator-prey system
    • Authors: S. Pal, N. Pal, J. Chattopadhyay
    • Citations: 57
    • Year: 2018
  • Impact of fear effect in a discrete-time predator-prey system
    • Authors: K. Kundu, S. Pal, S. Samanta, A. Sen, N. Pal
    • Citations: 33
    • Year: 2018
  • Chaos control in a discrete-time predator-prey model with weak Allee effect
    • Authors: S. Pal, S.K. Sasmal, N. Pal
    • Citations: 26
    • Year: 2018
  • Cooperation delay induced chaos in an ecological system
    • Authors: S. Pal, M. Hossain, P. Panday, N.C. Pati, N. Pal, J. Chattopadhyay
    • Citations: 25
    • Year: 2020
  • A discrete-time model with non-monotonic functional response and strong Allee effect in prey
    • Authors: Z. AlSharawi, S. Pal, N. Pal, J. Chattopadhyay
    • Citations: 20
    • Year: 2020
  • Bifurcations, chaos, and multistability in a nonautonomous predator–prey model with fear
    • Authors: M. Hossain, S. Pal, P.K. Tiwari, N. Pal
    • Citations: 19
    • Year: 2021
  • Bifurcations and multistability in a food chain model with nanoparticles
    • Authors: M. Hossain, N.C. Pati, S. Pal, S. Rana, N. Pal, G.C. Layek
    • Citations: 18
    • Year: 2021
  • Bistability and tristability in a predator-prey model with strong Allee effect in prey
    • Authors: R. Kumbhakar, S. Pal, N. Pal, P.K. Tiwari
    • Citations: 9
    • Year: 2023
  • A mechanistic model for airborne and direct human-to-human transmission of COVID-19
    • Authors: S. Pal, I. Ghosh
    • Citations: 8
    • Year: 2022
  • Impact of fear on searching efficiency of prey: A prey–predator model with weak Allee effect
    • Authors: S.K. Sasmal, S. Pal, N. Pal, Y. Takeuchi
    • Citations: 7
    • Year: 2023
  • Impact of fear and group defense on the dynamics of a predator–prey system
    • Authors: S. Pal, S. Karmakar, S. Pal, N. Pal, A.K. Misra, J. Chattopadhyay
    • Citations: 5
    • Year: 2024
  • Dynamics of a coupled socio-environmental model: An application to global CO2 emissions
    • Authors: S. Pal, I. Ghosh
    • Citations: 5
    • Year: 2023