Muhammad Tahir | Mathematics | Young Scientist Award

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Dr. Muhammad Tahir | Mathematics | Young Scientist Award

Gomal University | Pakistan

Dr. Muhammad Tahir is an emerging researcher and academic in the field of applied mathematics, with expertise spanning numerical analysis, fuzzy logic, artificial intelligence, and decision-making systems. He has served as a Lecturer in Mathematics at Beacon Light College, Pakistan, and as a Teaching Assistant at the Islamia University of Bahawalpur, where he contributed to curriculum development and quality enhancement initiatives. Dr. Tahir holds a Master of Science in Mathematics from the Islamia University of Bahawalpur, where his thesis focused on the “Numerical Study of Deformation of Bubbles Using Phase-Field Models with Decoupling Technique.” His research portfolio includes several high-impact publications in reputed journals such as Applied Soft Computing, European Journal of Pure and Applied Mathematics, and Engineering Applications of Artificial Intelligence. His studies cover topics like fuzzy set theory, cryptographic security, cyber risk mitigation, environmental sustainability, and multi-criteria decision-making. Dr. Tahir’s recent works emphasize hybrid intelligence frameworks, machine learning-integrated decision systems, and quantum-resistant cryptography. He has presented his research at international conferences in Turkey, demonstrating his commitment to interdisciplinary collaboration and computational innovation. His scholarly contributions continue to advance soft computing, mathematical modeling, and intelligent decision-making for industrial and environmental applications.

Profiles : Scopus | Orcid

Featured Publications

Kamran, M., Zhang, Q., Pamucar, D., Tahir, M., & Simic, V. (2025). Enhancing confidence level in decision-making frameworks using Fermatean fuzzy rough sets: Application in Industry 4.0. Applied Soft Computing.

Tahir, M., Kfueit, K., Rasheed, M., Hanan, A., & Shahid, M. I. (2025, October 4). Pythagorean soft sets and hypersoft sets: A comprehensive framework for advanced uncertainty modeling in decision making. Spectrum of Decision Making and Applications.

Gwo Dong Lin | Mathematics | Excellence in Research Award

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Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Hakan Tahiri Mutlu | Social Sciences | Best Researcher Award

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Assoc. Prof. Dr. Hakan Tahiri Mutlu | Social Sciences | Best Researcher Award

Bolu Abant İzzet Baysal University | Turkey

Assoc. Prof. Dr. Hakan Tahiri Mutlu is a distinguished academic in the fields of business, statistics, and applied quantitative methods, with a research portfolio spanning management, e-commerce, sustainability, and decision-making techniques. He has authored 11 scholarly documents, which have collectively received 35 citations, and he holds an h-index of 4, reflecting the impact of his work. Dr. Mutlu earned his Ph.D. in Business from Düzce University in 2020 with a thesis on optimal warranty policies and later completed doctoral studies in Statistics at Gazi University in 2016, following a master’s degree in Business and a bachelor’s degree in Mathematics. Throughout his academic career, he has held positions ranging from research assistant to associate professor at Abant İzzet Baysal University, contributing significantly to the Department of Business and Quantitative Methods. He has supervised multiple master’s and doctoral theses on topics including structural equation modeling, employee satisfaction, decision-making systems, and technology adoption. His research outputs include publications in internationally peer-reviewed journals and contributions to scientific books, covering subjects such as ESG performance, food waste, social media addiction, e-commerce, and entrepreneurial capital. Dr. Mutlu has also been actively involved in national research projects and has served in administrative roles such as coordinator for scientific research projects, faculty board member, and deputy head of the department, demonstrating both scholarly and institutional leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Tutar, H., Streimikiene, D., Mutlu, H. T., Kloudova, J., & Bilan, Y. (2025). Global food waste as an anti-sustainability trend: Analysis of economic and environmental impacts across countries. British Food Journal.

Tutar, H., Štreimikienė, D., & Mutlu, H. T. (2025). The relationship between ESG and financial performance in global firms: A multidimensional study across sectors and regions for the period 2015–2025. Corporate Social Responsibility and Environmental Management.

Tutar, H., Mutlu, H. T., & Streimikiene, D. (2025). Rethinking sustainable development: Multidimensional comparisons across countries and regions. Sustainable Development.

Akın, A., & Mutlu, H. T. (2025). Do Turkish physicians support euthanasia / death tourism? European Journal of Tourism, Hospitality and Recreation.

Akın, A., & Mutlu, H. T. (2025). The gastronomic product of the gastronomy city of Gaziantep: Menengiç coffee. Abant Sosyal Bilimler Dergisi.

Tutar, H., Mutlu, H. T., & Yüzen, İ. (2025). Regional disparities based on foreign trade and growth in TR42 and TR33 regions (2010–2024). Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi.

Tutar, H., Mutlu, H. T., & Uzun, H. (2025). Yöneticilerde empati yoksunluğu ölçeği: Geçerlilik ve güvenirlik çalışması [Lack of empathy in managers scale: Validity and reliability study]. Journal of Business Research - Turk.

Mutlu, H. T., Süvari, E., & Orhan, M. (2024). Coğrafi bilgi sistemi tabanlı çok kriterli karar verme yöntemi ile kaykay parkı yer seçimi: Bolu örneği [Skate park site selection using GIS-based multi-criteria decision method: Bolu case]. Abant Sosyal Bilimler Dergisi.

Tutar, H., & Mutlu, H. T. (2024). Dijital yorgunluk ölçeği (DİYÖ): Geçerlilik ve güvenirlik çalışması [Digital fatigue scale: Validity and reliability study]. İletişim Kuram ve Araştırma Dergisi.

Tutar, H., & Mutlu, H. T. (2024). Problematic digital technology use scale among university students: A validity and reliability study. Yuksekogretim Dergisi.

Ocel, Y., Mutlu, H. T., & Bayat, M. (2023). Determination of the relationship between lifestyle and impulsive purchasing behaviour. Marketing and Management of Innovations.

Tutar, H., & Mutlu, H. T. (2023). The mediating and regulatory role of organizational desensitization in the relationship between shrinkage of aim and loss of motivation. Yönetim ve Ekonomi Araştırmaları Dergisi.

Terzibaş, A., Mutlu, H. T., & Kavcar, B. (2023). Girişimcinin sahip olduğu bireysel girişimci sermayesi türlerinin girişim başarısına etkisi (TR42 bölgesinde bir araştırma) [The effect of individual entrepreneurial capital types on entrepreneurial success: A study in TR42 region]. Fiscaoeconomia.

Mutlu, H. T., & Yildiz, M. S. (2023). Determination of the optimal warranty policy and period from the manufacturer’s/seller’s perspective. Communications in Statistics - Simulation and Computation.

Hassan Ramchoun | Mathematics | Best Researcher Award

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Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications

  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025

  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024

  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024

  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024

  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023

Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

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Dr. Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

Jiangsu University | China

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Seyedeh Azadeh Fallah Mortezanejad began her academic journey with a strong foundation in statistics, completing her undergraduate and postgraduate studies at Guilan University, Iran. Her master’s research on semi-parametric estimation of conditional copula reflected her interest in statistical theory and dependence structures. She advanced her academic training with doctoral research at Ferdowsi University of Mashhad, focusing on applications of entropy in statistical quality control, which laid the groundwork for her later interdisciplinary research.

Professional Endeavors

Following her doctoral studies, Dr. Mortezanejad pursued postdoctoral research at Jiangsu University in China, under the guidance of Professor Ruochen Wang. Supported by the National Natural Science Foundation of China, her work explored advanced applications of statistical inference in engineering systems. Her professional engagements span teaching, collaborative research, and presenting at international conferences, reflecting her role as both a researcher and an academic contributor.

Contributions and Research Focus

Her research lies at the intersection of statistics, data science, and engineering. She has significantly contributed to areas such as time series analysis, dependence data, deep learning, and statistical quality control. Her expertise in copula functions and entropy has enabled novel methods for addressing challenges in multivariate data analysis and control charts. More recently, her work integrates machine learning and physics-informed neural networks for solving complex problems in multivariate time series and image processing.

Accolades and Recognition

Dr. Mortezanejad’s scholarly contributions have been recognized through numerous publications in leading journals, including Entropy, Sankhya B, and Physica A. She has been invited to present her findings at international workshops in Germany, France, Vietnam, and Spain, underscoring her recognition in global research communities. Her role as a reviewer for reputed journals and conferences further reflects her professional standing in the field.

Impact and Influence

Through her interdisciplinary research, Dr. Mortezanejad has bridged the gap between theoretical statistics and practical applications in fields such as healthcare, engineering, and financial modeling. Her contributions to statistical quality control, machine learning applications, and Bayesian inference have influenced both academic discourse and applied research, making her work relevant across diverse scientific domains.

Legacy and Future Contributions

With her strong background in both theoretical and applied statistics, Dr. Mortezanejad is poised to continue advancing research in modern statistical methods, particularly in integrating entropy-based approaches with machine learning. Her future work is expected to focus on enhancing predictive analytics, developing robust statistical tools for big data, and contributing to sustainable innovations in engineering and healthcare.

Publications

Article: Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari
Journal: Entropy
Year: 2025

Article: Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Entropy
Year: 2024

Article: Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Physical Sciences Forum
Year: 2023

Article: Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal/Conference: MaxEnt 2022 (Conference Proceedings)
Year: 2023

Article: Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo
Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
Journal: Reviews on Recent Clinical Trials
Year: 2022

Conclusion

Dr. Seyedeh Azadeh Fallah Mortezanejad’s career reflects a rare blend of statistical rigor, innovative application, and international recognition. Her early commitment to statistical theory, coupled with her interdisciplinary contributions, has positioned her as a rising figure in applied statistics and data science. With her expanding research footprint, she is set to leave a lasting impact on statistical research and its applications in science, technology, and industry.

John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

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Mr. John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

University of Science and Technology of China | China

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 📘

Mr. John Yata Raymond Lubari’s academic journey began with a Bachelor’s degree in Statistics and Demography from the University of Bahr El-Ghazal in South Sudan (2009-2014). Building on his passion for analytical and quantitative studies, he pursued a Master’s degree in Management Science and Engineering at Harbin Institute of Technology, China (2015-2018). Currently, he is a Ph.D. candidate at the University of Science and Technology of China, specializing in Statistics and Finance, with a focus on advanced statistical modeling and dynamic algorithms. His educational background is marked by a commitment to academic excellence and research innovation.

Professional Endeavors 🌟

Mr. Lubari has made significant contributions as both an academic and a professional in humanitarian and development sectors. As a lecturer at the University of Bahr El-Ghazal (2019-2023), he educated and mentored students in Business Administration and Statistics, fostering a generation of informed professionals. His NGO work includes roles as a Monitoring and Evaluation Officer for the Norwegian Refugee Council (2021-2023) and CEPO (2020-2021), where he designed data collection tools and implemented impactful projects. As a Gender-Based Violence Volunteer for SEFERWORLD (2018-2019), he actively engaged in community training and awareness campaigns, demonstrating his dedication to societal development.

Contributions and Research Focus 🔬

Mr. Lubari’s research is rooted in addressing complex statistical problems and advancing knowledge in fields like Bayesian Statistics, Recommendation Systems, and Non-Stationary Bandit Problems. His ongoing Ph.D. research focuses on Non-Stationary Multi-Armed Bandits, exploring the delicate balance of exploration-exploitation trade-offs in dynamic environments.

He has published impactful research, such as his study on Chadian gum Arabic trade using an augmented gravity model and an investigation into the interplay between tuberculosis elimination and HIV/AIDS in South Sudan. These works underscore his commitment to combining theoretical rigor with practical applications.

Accolades and Recognition 🏆

Mr. Lubari’s work has earned recognition in both academic and professional circles. His published studies in international journals like Sustainability and presentations at global conferences, including the World Congress on Patient Safety & Quality Healthcare in London, highlight his contributions to global knowledge. His ability to navigate and contribute to diverse fields reflects his interdisciplinary expertise and leadership.

Impact and Influence 🌍

Through his academic and professional endeavors, Mr. Lubari has significantly influenced education, statistical research, and community development. His leadership in designing and implementing data-driven projects has enhanced the effectiveness of developmental initiatives. By mentoring students and collaborating with communities, he has helped bridge knowledge gaps and empowered individuals to contribute meaningfully to society.

Legacy and Future Contributions 🌟

As a scholar and practitioner, Mr. Lubari's legacy lies in his ability to integrate statistical expertise with real-world applications. His ongoing Ph.D. research and diverse professional experiences position him to contribute innovative solutions in finance, statistics, and humanitarian projects. With a focus on education, interdisciplinary research, and global collaboration, his future contributions promise to further advance both academia and social impact initiatives.

 

Publications

📝 Article: Assessing Potential and Impact Factors Driving Chadian Gum Arabic International Trade Based on the Augmented Gravity Model
Author: John Yata Raymond Lubari
Journal: Sustainability
Year: 2024

📝 Article: The Factors Impact Tuberculosis Disease Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: International Journal of Science and Research (IJSR)
Year: 2018

📝 Article: Impact of TB Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: Journal of Patient Care / World Congress on Patient Safety & Quality Healthcare, London, UK
Year: 2017

 

Okechukwu Obulezi | Mathematics | Editorial Board Member

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Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Okechukwu Obulezi began his academic journey with a focus on statistical sciences, obtaining an ND in Statistics from Abia State Polytechnic in 2006. Driven by his passion, he continued with an HND in Statistics from the same institution, culminating in a strong foundation in quantitative analysis and data interpretation. Pursuing higher learning, he completed a PGD in Statistics at Nnamdi Azikiwe University in 2012, with a thesis on the "Discriminant Analysis of the Nigerian Fixed Assets." His master's thesis focused on "BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis," setting the stage for his current Ph.D. in Statistics, where he explores complex statistical methods for predictive and analytical modeling.

💼 Professional Endeavors

Dr. Obulezi’s professional career spans several academic roles, starting as an Instructor at Abia State Polytechnic in 2011, where he advanced to Senior Instructor by 2015. In 2019, he joined Nnamdi Azikiwe University as an Assistant Lecturer in the Statistics Department, quickly progressing to Lecturer II and then Lecturer I by 2023. His responsibilities include teaching specialized courses such as Biostatistics, Statistical Methods, Probability Theory, and Matrix Algebra, where he imparts knowledge to the next generation of statisticians. Beyond teaching, he plays critical roles in advising undergraduates, coordinating seminars and projects, and contributing to departmental committees, such as the Faculty ICT Committee and Faculty Repair and Maintenance Committee.

🔬 Contributions and Research Focus

Dr. Obulezi’s research interests lie at the intersection of probability distributions, machine learning, and statistical modeling, with applications in survival analysis, acceptance sampling, and censored data analysis. His contributions to these fields include publications in high-impact journals, focusing on new statistical models for various real-world applications. Some of his significant research includes new distribution models for engineering, biomedical, and environmental data, optimization of GARCH models for financial volatility, and innovative sampling plans for reliability testing. His publications reflect his commitment to advancing the fields of statistics and machine learning by creating robust, practical solutions for complex data challenges.

🏆 Accolades and Recognition

Dr. Obulezi has earned recognition for his academic and research excellence, serving as a reviewer for several prestigious journals, such as Cogent Engineering, Scientific African, and Alexandria Engineering Journal. His expertise has also led him to contribute as a reviewer for academic book chapters, particularly in mathematical and computer science research. This engagement underscores his prominence as a thought leader in the statistical community and highlights the respect he commands among peers for his critical insights and expertise.

🌍 Impact and Influence

Dr. Obulezi's work in developing statistical models and distributions has had a significant impact, particularly in the areas of biomedicine, engineering, and environmental science. His innovative methodologies have helped refine statistical tools for better data analysis, contributing to improved outcomes in public health research, environmental risk assessment, and financial risk management. His influence also extends to mentoring students and collaborating with other academics, which enriches the statistical field and inspires the next generation of statisticians.

🔮 Legacy and Future Contributions

Looking forward, Dr. Obulezi aims to further his research in advanced statistical modeling, focusing on machine learning applications and data-driven decision-making in complex fields. His commitment to exploring new statistical approaches for big data and predictive analysis places him at the forefront of his field, positioning him to make enduring contributions that will drive innovation in statistical methodologies and applications for years to come.

 

Publications

  • 📄 Parameter estimation for reduced Type-I Heavy-Tailed Weibull distribution under progressive Type-II censoring scheme
  • Authors: Prakash, A., Maurya, R.K., Alsadat, N., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • 📄 Sine generalized family of distributions: Properties, estimation, simulations and applications
  • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • 📄 A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
  • Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024
  • 📄 A new extension of Burr-Hatke exponential distribution with engineering and biomedical applications
  • Authors: Anyiam, K.E., Alghamdi, F.M., Nwaigwe, C.C., Aljohani, H.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024
  • 📄 Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
  • Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

 

Jamal Salah | Mathematics | Best Researcher Award

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Dr. Jamal Salah | Mathematics | Best Researcher Award

A'Sharqiyah University | Oman

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Dr. Jamal Salah completed his Bachelor’s degree in Electrical Engineering at the University of Basrah in 1988. He continued his studies and obtained a Master’s degree in Electrical Engineering from the University of Science and Technology in 1995. His academic journey culminated with a Ph.D. in Electrical Engineering from the University of Bradford in 2005.

Professional Endeavors 💼

Dr. Salah's professional career began at the Ministry of Higher Education in Iraq, where he played a pivotal role in shaping future generations of engineers. He held the position of Assistant Professor in Electrical Engineering at Al-Nahrain University from 2005 to 2009. In 2010, he joined the University of Malaya as a Senior Lecturer and later progressed to an Associate Professor. He has also held various administrative positions, including the head of the Electrical Engineering Department and Dean of the Faculty of Engineering.

Research Focus and Contributions 🔬

Dr. Salah's research interests are primarily in computer networks, security, and wireless communications. His contributions to the field include:

  • Network Security: Researching vulnerabilities in computer networks and proposing solutions to enhance security measures.
  • Wireless Communications: Investigating the challenges and advancements in wireless communication technologies.
  • Emerging Technologies: Exploring the impact of emerging technologies on the engineering landscape.

His work has led to multiple publications in reputable journals and conference proceedings.

Accolades and Recognition 🏆

Dr. Salah has received numerous awards throughout his career, recognizing his contributions to education and research. He has been actively involved in organizing international conferences and workshops, further solidifying his reputation in the academic community.

Impact and Influence 🌍

Through his teaching, mentorship, and research, Dr. Salah has influenced many students and young professionals in the field of electrical engineering. His commitment to academic excellence and innovation continues to inspire future generations.

Legacy and Future Contributions 🔮

As a respected academic and researcher, Dr. Salah is poised to make significant contributions to the field of electrical engineering. His ongoing research and involvement in educational initiatives aim to address the challenges posed by rapidly evolving technologies, ensuring that future engineers are well-equipped to navigate the complexities of the modern world.

 

Publications

  • 📄 On Uniformly Starlike Functions with Respect to Symmetrical Points Involving the Mittag-Leffler Function and the Lambert Series
    Author: Salah, J.
    Journal: Symmetry
    Year: 2024
  • 📄 Two Inclusive Subfamilies of Bi-Univalent Functions
    Authors: Al-Hawary, T., Amourah, A., Salah, J., Yousef, F.
    Journal: International Journal of Neutrosophic Science
    Year: 2024
  • 📄 Fibonacci Numbers Related to Some Subclasses of Bi-Univalent Functions
    Authors: Amourah, A., Frasin, B.A., Salah, J., Al-Hawary, T.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024
  • 📄 Bi-Univalent Functions Using Bell Distribution Associated With Meixner-Pollaczek Polynomials
    Authors: Alsoboh, A., Amourah, A., Salah, J.
    Journal: International Journal of Mathematics and Computer Science
    Year: 2024
  • 📄Properties of a Linear Operator Involving Lambert Series and Rabotnov Function
    Author: Salah, J.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024