Sami Ul Haq | Mathematics | Best Researcher Award

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Dr. Sami Ul Haq | Mathematics | Best Researcher Award

Dr. Sami Ul Haq, COMSATS University Islamabad, Pakistan

Dr. Sami Ul Haq is an accomplished mathematician with a strong foundation in fluid mechanics and mathematical modeling. He is committed to advancing knowledge in the field through teaching and research. Recognized as a gold medalist during his undergraduate studies, he combines his academic prowess with practical teaching experience to inspire the next generation of mathematicians. Dr. Sami is actively engaged in conferences and seminars, contributing to the discourse on recent developments in fluid mechanics and related fields.

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Okechukwu Obulezi | Mathematics | Best Researcher Award

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Dr. Okechukwu Obulezi | Mathematics | Best Researcher Award

Lecturer at Nnamdi Azikiwe University, Awka, Nigeria.

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic and researcher specializing in Probability Distributions and Machine Learning Models, with applications in survival analysis, competing risks, and acceptance sampling. He is currently a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, where he has progressed through various academic roles since 2019. Obulezi holds a Master’s degree in Statistics from the same institution and is pursuing a Ph.D. in the same field. His research contributions include multiple published journal articles, focusing on topics such as statistical modeling and estimation techniques. He actively participates in academic leadership roles, serving as a reviewer for several reputable journals. Obulezi is also involved in student advising and departmental coordination, reflecting his commitment to both teaching and research excellence. His expertise positions him as a strong candidate for recognition in the Best Researcher Award.

Profile:

Education

Okechukwu Jeremiah Obulezi holds a robust educational background in statistics, anchored by his ongoing Ph.D. studies at Nnamdi Azikiwe University, where he focuses on advancing statistical methodologies. He earned his Master of Science (M.Sc) in Statistics from the same institution in 2016, with a thesis titled “BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis.” Before this, he completed a Postgraduate Diploma (PGD) in Statistics at Nnamdi Azikiwe University in 2012, exploring “Discriminant Analysis of the Nigerian Fixed Assets.” His foundational education includes a Higher National Diploma (HND) in Statistics from Abia State Polytechnic, where he conducted a project on “Discriminant Analysis of the Performance of Secondary School Students.” Obulezi’s academic journey illustrates a consistent commitment to mastering statistical concepts and their practical applications, establishing a strong foundation for his research and teaching endeavors.

Professional Experiences 

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic with a robust professional background in statistics. Currently serving as a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, he has progressed through various academic roles, including Lecturer II and Assistant Lecturer since 2019. Prior to this, he contributed to Abia State Polytechnic, where he served as a Senior Instructor and Instructor I in the Statistics Department from 2011 to 2019. Okechukwu’s responsibilities at Nnamdi Azikiwe University encompass teaching courses such as Biostatistics and Statistical Applications, along with mentoring undergraduate students as their level adviser. He actively participates in various academic committees, including the University Water Board Committee and the Faculty ICT Committee, showcasing his commitment to enhancing the academic environment. His continuous engagement in research and peer review further highlights his dedication to advancing statistical knowledge and education.

Research Interests

Okechukwu Jeremiah Obulezi, M.Sc, has a strong research focus on probability distributions and machine learning models, particularly their applications in survival analysis, competing risks, acceptance sampling, optimum sampling, and handling masked data and censoring schemes. His work is characterized by the integration of statistical theory and practical applications, aiming to enhance the reliability and efficiency of statistical models in real-world scenarios. With an emphasis on optimizing models for financial volatility and developing new statistical distributions, Obulezi’s research contributes significantly to the fields of statistics and data science. His expertise also extends to biostatistics and various statistical methodologies, positioning him as a key figure in advancing innovative approaches within the statistical community. Through his academic endeavors, he strives to address complex challenges in statistical modeling, ultimately benefiting both academic research and industry applications.

Research skills 

Okechukwu Jeremiah Obulezi possesses a robust skill set that enhances his research capabilities, particularly in the fields of statistics and machine learning. His expertise in probability distributions and their applications to survival analysis, competing risks, and acceptance sampling underscores his strong analytical skills. Obulezi has demonstrated proficiency in developing and optimizing statistical models, as evident in his published work on GARCH models for financial volatility. His experience in handling complex data sets, including those with missing data and censoring schemes, reflects his adeptness in statistical programming and data analysis. Furthermore, his involvement as a reviewer for various reputable journals showcases his critical thinking and attention to detail. Obulezi’s commitment to continuous learning is evidenced by his ongoing Ph.D. studies, further solidifying his position as a knowledgeable and skilled researcher in his field. Overall, his combination of technical skills and practical experience positions him well for impactful contributions to academic research.

Award And Recognition 

Okechukwu Jeremiah Obulezi has made significant contributions to the field of statistics, particularly in probability distributions and machine learning models, earning recognition for his innovative research and teaching excellence. His publications in esteemed journals, such as the Alexandria Engineering Journal and Scientific African, highlight his expertise in survival analysis and acceptance sampling. As a reviewer for several reputable academic journals, he actively contributes to the scientific community by ensuring the quality and integrity of published research. His commitment to academic leadership is evident through his roles as a seminar coordinator and undergraduate advisor at Nnamdi Azikiwe University, where he fosters student development. Furthermore, his ongoing Ph.D. studies and participation in various research committees exemplify his dedication to advancing statistical methodologies and applications, making him a commendable candidate for the Best Researcher Award.

Conclusion

Okechukwu Jeremiah Obulezi is a strong candidate for the Best Researcher Award due to his diverse research interests, extensive publication record, and dedication to teaching and academic leadership. While there are opportunities for growth, such as enhancing collaboration networks and securing research funding, his commitment to advancing statistical knowledge and mentoring future statisticians positions him as a valuable asset to the academic community. Awarding him this honor would recognize his contributions and motivate further excellence in his ongoing research endeavors.

Publication Top Notes
  1. Sine generalized family of distributions: Properties, estimation, simulations and applications
    • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume/Issue/Page: 109, pp. 532–552
  2. 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.
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume/Issue/Page: 109, pp. 520–531
  3. 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.
    • Year: 2024
    • Journal: Heliyon
    • Volume/Issue/Page: 10(19), e38150
  4. Group acceptance sampling plans for type-I heavy-tailed exponential distribution based on truncated life tests
    • Authors: Nwankwo, B.C., Obiora-Ilouno, H.O., Almulhim, F.A., SidAhmed Mustafa, M., Obulezi, O.J.
    • Year: 2024
    • Journal: AIP Advances
    • Volume/Issue/Page: 14(3), 035310
  5. New Lifetime Distribution with Applications to Single Acceptance Sampling Plan and Scenarios of Increasing Hazard Rates
    • Authors: Chinedu, E.Q., Chukwudum, Q.C., Alsadat, N., Almetwally, E.M., Tolba, A.H.
    • Year: 2023
    • Journal: Symmetry
    • Volume/Issue/Page: 15(10), 1881
  6. A New Distribution for Modeling Data with Increasing Hazard Rate: A Case of COVID-19 Pandemic and Vinyl Chloride Data
    • Authors: Tolba, A.H., Onyekwere, C.K., El-Saeed, A.R., Alohali, H., Obulezi, O.J.
    • Year: 2023
    • Journal: Sustainability (Switzerland)
    • Volume/Issue/Page: 15(17), 12782

 

Subarna Roy l Mathematical Modeling l Best Researcher Award

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Mr. Subarna Roy l Mathematical Modeling l Best Researcher Award

Senior Research Fellow at Indian Institute of Information Technology Bhagalpur, India

Mr. Subarna Roy is a dedicated researcher currently pursuing his Ph.D. in Mathematics at the Indian Institute of Information Technology, Bhagalpur, Bihar, under the guidance of Dr. Pankaj Kumar Tiwari. He holds a Master of Science (M.Sc.) degree in Mathematics from Visva-Bharati University, Santiniketan, which he completed in 2020 with a CGPA of 8.74/10, and a Bachelor of Science (B.Sc.) with Honors in Mathematics from Burdwan University, West Bengal, achieved in 2018. His research interests focus on the mathematical modeling of ecological systems, particularly involving seasonality and stochasticity. Mr. Roy has co-authored several notable research papers in prestigious journals and has also qualified for the CSIR NET (JRF) and GATE examinations, reflecting his academic excellence and dedication to his field. His expertise extends to computational tools such as MATLAB and Maple, as well as typesetting software like LaTeX.

Profile:

Education

Mr. Subarna Roy is currently pursuing his Ph.D. in Mathematics under the supervision of Dr. Pankaj Kumar Tiwari at the Indian Institute of Information Technology, Bhagalpur, Bihar. He holds a Master of Science (M.Sc.) degree in Mathematics, which he obtained from Visva-Bharati University, Santiniketan, West Bengal, in 2020 with an impressive CGPA of 8.74/10. Prior to this, he completed his Bachelor of Science (B.Sc.) with Honors in Mathematics from Burdwan University, West Bengal, in 2018, securing 65.75%. His academic journey began with his Higher Secondary education, where he scored 87.6% from the West Bengal Council of Higher Secondary Education (W.B.C.H.S.E.), Kolkata, in 2015, followed by his Matriculation from the West Bengal Board of Secondary Education (W.B.B.S.E.), Kolkata, in 2013, with a score of 78.7%.

Professional Experience

Mr. Subarna Roy has established himself as a promising researcher in the field of mathematical modeling with a focus on ecological systems. Throughout his academic career, he has gained significant research experience, particularly during his ongoing Ph.D. studies at the Indian Institute of Information Technology, Bhagalpur. Under the supervision of Dr. Pankaj Kumar Tiwari, Mr. Roy has been actively involved in several research projects, contributing to the understanding of predator-prey dynamics, seasonality, and stochastic processes in ecological models. His work has led to the publication of multiple research papers in high-impact journals such as The European Physical Journal Plus, Journal of Biological Systems, and Chaos Solitons & Fractals. In addition to his research, Mr. Roy has demonstrated expertise in computational tools like MATLAB and Maple, and has collaborated with leading experts in his field on interdisciplinary projects. His academic achievements, combined with his research output, highlight his growing influence in the domain of applied mathematics and ecological modeling.

Research Interest

Mr. Subarna Roy’s research interests lie in the field of mathematical modeling of ecological systems, with a particular focus on models that incorporate seasonality and stochasticity. His work explores the complex dynamics of predator-prey interactions, emphasizing how seasonal changes and random environmental factors impact ecological stability. Additionally, Mr. Roy is interested in models that include fear effects, refuge dynamics, hunting cooperation, and the impact of toxicity in ecological systems. His research also delves into the bifurcation analysis of population models, examining how various ecological factors influence system behavior and stability. Through his work, he aims to develop models that offer deeper insights into the behavior of ecosystems under both deterministic and stochastic conditions, contributing to fields such as conservation biology, population dynamics, and resource management.

Research Skills

Mr. Subarna Roy possesses a diverse set of skills that enhance his research capabilities in mathematical modeling and ecological systems. He is proficient in computational software, including MATLAB and Maple, which he utilizes for complex simulations and data analysis in his research. In addition, Mr. Roy is skilled in typesetting software such as LaTeX and Microsoft Office, enabling him to efficiently prepare and present technical documents and research papers. His ability to work with advanced mathematical tools and software allows him to model intricate ecological systems with precision, contributing to his success in academic research. Furthermore, his expertise in mathematical analysis and model development equips him with the technical knowledge to address complex environmental and biological challenges in his field.

Award and Recognitio

Mr. Subarna Roy has received several prestigious awards and recognitions that highlight his academic excellence and research potential. He qualified for the CSIR NET (JRF) in November 2020, a highly competitive national-level examination that recognizes outstanding scholars in the field of science and research. Additionally, he successfully cleared the GATE examination in 2021, further demonstrating his proficiency and expertise in mathematics. These accomplishments underscore his dedication to his field and his potential to contribute meaningfully to the academic and research communities.

Conclusion

Mr. Subarna Roy’s academic background, research focus on ecological systems, and extensive list of publications demonstrate his potential as a leading researcher in his field. His work on predator-prey dynamics, seasonality, and stochasticity is both impactful and forward-looking, making him a worthy contender for the Best Researcher Award.

Publication Top Notes

  • A systematic study of autonomous and nonautonomous predator–prey models for the combined effects of fear, refuge, cooperation and harvesting
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 724
    • Year: 2022
  • Effects of fear, refuge and hunting cooperation in a seasonally forced eco-epidemic model with selective predation
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 528
    • Year: 2022
  • Two fold impacts of fear in a seasonally forced predator-prey system with Cosner functional response
    • Published in: Journal of Biological Systems
    • Volume: 31
    • Issue: 2
    • Pages: 517-555
    • Year: 2023
  • Effect of seasonality on a nutrient–plankton system with toxicity in the presence of refuge and additional food
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 368
    • Year: 2022
  • An optimal control model for the impact of Phoslock on the mitigation of algal biomass in lakes
    • Published in: Journal of Biological Systems
    • Volume: 30
    • Issue: 4
    • Pages: 945-984
    • Year: 2022
  • Bifurcation analysis of autonomous and nonautonomous modified Leslie-Gower models
    • Published in: Chaos
    • Volume: 34
    • Issue: 2
    • Article number: 023131
    • Year: 2024
  • Dynamics of a generalist predator-prey system with harvesting and hunting cooperation in deterministic/stochastic environment
    • Published in: Mathematical Methods in the Applied Sciences
    • Volume: 47
    • Issue: 7
    • Pages: 5916-5938
    • Year: 2024
  • Dynamical behaviors of autonomous and nonautonomous models of generalist predator-prey system with fear, mutual interference and nonlinear harvesting
    • Published in: Chaos Solitons & Fractals
    • Volume: 183
    • Article number: 114891
    • Year: 2024

Lingyun Huang | Fuzzy Mathematics | Best Researcher Award

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Prof Dr. Lingyun Huang | Fuzzy Mathematics | Best Researcher Award

Director at Kunming University of Science and Technology, China.

Dr. Huang Lingyun, an Associate Professor at Kunming University of Science and Technology, specializes in flotation theory and the comprehensive utilization of mineral resources. With a Ph.D. in mineral processing engineering, she has led and participated in over 28 significant research projects, including National Natural Science Foundation of China and provincial initiatives. Her work focuses on the green and efficient utilization of tailings resources and the development of innovative flotation agents. Dr. Huang has published over 50 papers, with more than 20 indexed in SCI and EI, and holds several patents related to flotation and mineral processing technologies. Her research extends beyond China, with international collaborations, including a visiting scholar role at CSIRO in Australia. Recognized with the first prize in the Science and Technology Progress Award by the China Nonferrous Metals Industry Association, Dr. Huang’s contributions are pivotal to advancing sustainable mineral resource management.

Profile
Education

Dr. Huang Lingyun has a solid academic foundation in mineral processing and chemical engineering. She earned her Ph.D. in Mineral Processing Engineering from Kunming University of Science and Technology, where her research focused on advanced flotation processes and the comprehensive utilization of mineral resources. Prior to her doctoral studies, she completed a Master’s degree in Applied Chemistry at Tsinghua University, one of China’s top universities. She also holds a Master’s degree in Chemical Engineering from Wuhan University of Engineering, further strengthening her expertise in chemical processes and materials science. Dr. Huang’s educational background is complemented by her role as a visiting scholar at the Australian Federal Science and Technology Commission’s Mineral Processing Institute, where she expanded her research knowledge in an international setting. Her diverse and rigorous educational journey has equipped her with the skills and knowledge necessary to make significant contributions to the field of mineral processing and sustainable resource utilization.

Professional Experience

Dr. Huang Lingyun, an Associate Professor at Kunming University of Science and Technology, has a distinguished professional background in mineral processing engineering. She holds a Doctorate in Engineering from Kunming University of Science and Technology, following her Master’s degrees from Tsinghua University and Wuhan University of Engineering. Dr. Huang has been actively involved in research and teaching since 2013, focusing on flotation theory and the comprehensive utilization of tailings resources. Her role includes leading and participating in over 28 research projects, including key national and provincial initiatives. She has also served as a visiting scholar at the Australian Federal Science and Industry Research Organization. Dr. Huang’s expertise extends to managing university-enterprise cooperative projects and contributing to significant advancements in green flotation agents and mineral resource utilization. Her leadership and technical skills are pivotal in advancing the field of mineral processing.

Research Interest

Dr. Huang Lingyun’s research interests center on the green and efficient utilization of mineral resources, with a specific focus on flotation theory and the comprehensive use of tailings secondary resources. Her work explores innovative flotation agents and techniques aimed at enhancing the recovery and sustainability of mineral processing operations. Dr. Huang is particularly interested in the development of eco-friendly flotation agents and strategies for the effective management of mineral waste. Her research includes the application of nano-bubble technology to improve flotation efficiency and the study of complex polymetallic mineral resources. Additionally, she investigates methods for reducing environmental impact through advanced waste management and water quality control in mining processes. Dr. Huang’s expertise extends to mineral processing engineering and the design of sustainable technologies for the mining industry, reflecting her commitment to advancing both scientific knowledge and practical solutions in the field.

Research Skills

Dr. Huang Lingyun possesses a diverse range of advanced research skills that significantly contribute to her field. Her expertise in flotation theory and mineral processing is underscored by her proficiency in designing and developing green flotation agents and optimizing the comprehensive utilization of tailings resources. Dr. Huang’s technical skills include a deep understanding of flotation mechanisms, mineral resource utilization, and the application of nano-bubble technology for enhanced flotation efficiency. She excels in managing and executing large-scale research projects, demonstrated by her leadership in several National Natural Science Foundation and provincial projects. Her ability to collaborate with industry partners and international institutions highlights her strong networking and project management skills. Dr. Huang’s contributions are also reflected in her extensive publication record, which includes over 50 research papers and several patents, showcasing her capacity to translate complex research into practical, innovative solutions.

Awards and Recognition

Dr. Huang has been recognized for her outstanding contributions to the field of mineral processing. She has received the first prize in the Science and Technology Progress Award from the China Nonferrous Metals Industry Association. Her leadership and guidance have also been acknowledged through the awards won by her students in various competitions, reflecting her commitment to nurturing the next generation of researchers.

Conclusion

In conclusion, Dr. Huang Lingyun is a highly qualified candidate for the Best Researcher Award, given her extensive research contributions, geographic impact, collaborative efforts, and applied research in the field of mineral processing. Her work on environmental health, particularly in waste management and water quality, further enhances her suitability for this award. Dr. Huang’s achievements and recognition in the field underscore her dedication and impact, making her a deserving candidate for this prestigious recognition.

Publications Top Notes

  1. Synthesis and utilization of a novel amidoxime collector for the flotation separation of cuprite from calcite
    • Authors: Li, Q., Huang, L., Hu, B., Zhou, J., Xu, Y.
    • Year: 2025
  2. Synthesis and utilization of an amidoxime surfactant as a collector in the flotation separation of azurite from quartz and calcite
    • Authors: Huang, L., Xu, Y., Hu, B., Zhou, J., Song, J.
    • Year: 2024
  3. Flotation separation of magnesite from dolomite with gellan gum as depressant and its depression mechanism
    • Authors: Wang, L., Li, Z., Zhang, H., Zhu, Y., Li, F.
    • Year: 2024
  4. An insight into fine cassiterite recovery: A novel surfactant-phenylpropylhydroxamic acid and its adsorption mechanism
    • Authors: Zhang, M., Huang, L., Hu, B., Wu, D., Tong, X.
    • Year: 2024
    • Citations: 3
  5. Precise assessment of flood risk and accurate allocation of disaster relief funds through a fuzzy set approach
    • Authors: Wang, Y., Yu, X., Yi, L., Shi, W., Huang, L.
    • Year: 2024
  6. Enhanced flotation of smithsonite from calcite based on the synergistic action of carboxylated chitosan and sodium carbonate
    • Authors: Liu, W., Zhao, L., Liu, W., Mao, Y., Ding, S.
    • Year: 2023
    • Citations: 4
  7. Arsenic Removal and Iron Recovery from Arsenic-Bearing Iron Ores by Calcification-Magnetic Roasting and Magnetic Separation Process
    • Authors: Dai, M., Zhou, Y., Xiao, Q., Tong, X., Chun, T.
    • Year: 2023
  8. A new perspective on copper oxide flotation: Synthesis and mechanism study of a surfactant for sulfide-free flotation
    • Authors: Zhang, M., Huang, L., Sun, X., Li, Y., Lan, Z.
    • Year: 2023
    • Citations: 3
  9. Inverse analysis of radiative properties of internal medium and surface for cylindrical system using CSM-CGM approach
    • Authors: Zhang, C., Li, B.-W., Zhou, R.-R., Li, P.-X., Huang, L.-Y.
    • Year: 2023
    • Citations: 2
  10. A review on Rayleigh-Bénard convection influenced by the complicating factors
    • Authors: Song, J.-J., Li, P.-X., Chen, L., Li, B.-W., Huang, L.-Y.
    • Year: 2023
    • Citations: 7