Okechukwu Obulezi | Mathematics | Editorial Board Member

Posted on 28/10/202428/10/2024 by Book of Award

Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

Author Profile

🎓 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

Sartaj Khan | Environmental Science | Best Researcher Award

Posted on 08/08/202408/08/2024 by Book of Award

Dr. Sartaj Khan | Environmental Science | Best Researcher Award

Center for HydroTechnologies , CESAT Islamabad | United States

Author profile

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Early Academic Pursuits 📘

Dr. Sartaj Khan's academic journey began at Quaid-i-Azam University in Islamabad, Pakistan. He completed his Master of Science (M.Sc.) in Physics in 2000 and subsequently earned a Master of Philosophy (M.Phil.) in Physics in 2001. His passion for the physical sciences led him to pursue a Doctor of Philosophy (Ph.D.) in Physical Oceanography & Atmospheric Sciences at the College of Underwater Acoustic Engineering, HEU China, which he completed in 2022.

Professional Endeavors 💼

Dr. Khan's professional career is marked by significant contributions to both academia and industry. He began as a Research Officer at the Centre for Hydro Technologies, CESAT, Islamabad, where he served from 2002 to 2017. He then joined the College of Underwater Acoustic Engineering, HEU China, as a Research Associate from 2017 to 2022. Currently, he is a Senior Research Associate at the Centre for Hydro Technologies, CESAT, Islamabad.

Contributions and Research Focus 🌊

Dr. Khan's research spans a wide array of critical topics in physical oceanography and atmospheric sciences, including:

Ocean-atmosphere interaction
Extreme ocean events and their impacts on climate
Ocean modeling and circulation dynamics (ENSO, IOD)
Remote sensing and ocean observation
Mesoscale ocean vortices (eddies)
Ocean acoustics

His work aims to enhance climate resilience, support sustainable marine resource management, and influence effective environmental policies.

Accolades and Recognition 🏆

Dr. Khan's excellence in research has been recognized with numerous awards and honors:

2024: Excellent Paper Award, IEEE/0ES China Ocean Acoustics Conference
2022: Best PhD Thesis Award, MDPI Academic Publisher, Switzerland ($1000)
2022: Best Researcher Award, College of Underwater Acoustic Engineering China
2017-2022: Chinese Government Scholarship Award for PhD Study ($38,600)

Impact and Influence 🌐

Dr. Khan's research has significantly impacted the field of physical oceanography and atmospheric sciences. His peer-reviewed publications and contributions to various journals, such as Remote Sensing, IEEE Journal of Oceanic Engineering, and Frontiers in Marine Science, have furthered our understanding of ocean dynamics and climate interactions. His h-index of 6 and 145 citations reflect his influence in the scientific community.

Legacy and Future Contributions Highlights 🌟

Looking ahead, Dr. Khan is committed to advancing the field of oceanography and atmospheric sciences through innovative research and collaboration. His legacy includes mentoring future scientists, co-supervising multiple theses, and serving as a guest editor for the International Journal of Atmospheric and Oceanic Sciences. His continued work aims to drive forward the knowledge and solutions necessary for addressing global environmental challenges.

Publications 📚

📝 A Novel Continuously Variable Transmission with Circumferentially Arranged Disks (CAD CVT)

Journal: Actuators
Year: 2024-06-03
Authors: Muhammad Bilal, Qidan Zhu, Shafiq R. Qureshi, Ahsan Elahi, Muhammad Kashif Nadeem, Sartaj Khan

📝 Analysis of Underwater Acoustic Propagation under the Influence of Mesoscale Ocean Vortices

Journal: Journal of Marine Science and Engineering
Year: 2021-07-24
Authors: Sartaj Khan, Yang Song, Jian Huang, Shengchun Piao

📝 Variability of SST and ILD in the Arabian Sea and Sea of Oman in Association with the Monsoon Cycle

Journal: Mathematical Problems in Engineering
Year: 2021-06-23
Authors: Sartaj Khan, Shengchun Piao, Imran U. Khan, Bingchen Xu, Shazia Khan, Muhammad Asim Ismail, Yang Song, Bhawani Shankar Chowdhry

📝 Sea Surface Temperature Variability over the Tropical Indian Ocean during the ENSO and IOD Events in 2016 and 2017

Journal: Atmosphere
Year: 2021-05-01
Authors: Sartaj Khan, Shengchun Piao, Guangxue Zheng, Imran Ullah Khan, David Bradley, Shazia Khan, Yang Song

📝 Bayesian Inversion for Geoacoustic Parameters in Shallow Sea

Journal: Sensors
Year: 2020-04
Authors: Guangxue Zheng, 捍皓祝, Xiaohan Wang, Sartaj Khan, Nansong Li, Yangyang Xue

Lin Guo | Computer Science | Excellence in Innovation Award

Posted on 08/07/202411/07/2024 by Book of Award

Mr. Lin Guo | Computer Science | Excellence in Innovation Award

Huazhong University of Science and Technology | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Lin Guo embarked on his academic journey with a strong foundation in Computer Science and Technology at Zhengzhou University, where he graduated with distinction as one of the top students. Building on this success, he pursued postgraduate studies in Artificial Intelligence at Huazhong University of Science and Technology, demonstrating a keen interest in advanced technologies and research methodologies.

Professional Endeavors

Mr. Guo's professional career is marked by significant contributions in the field of artificial intelligence and computer vision. His internship at Megvii Technology's Shanghai Research Institute focused on developing cutting-edge algorithms for AVP parking semantic mapping, addressing challenges in SLAM optimization and multi-frame fusion mapping. His role as a key engineer underscored his ability to innovate and implement complex solutions in real-world applications.

Contributions and Research Focus

Lin Guo has made substantial contributions to the field through his research publications and project involvements. His research spans point cloud registration, 3D registration efficiency, and advanced methods in SLAM and VIO positioning. His work on optimizing point cloud feature learning and overcoming feature ambiguity in different reference systems has been acknowledged for its innovation and practical relevance.

Accolades and Recognition

His academic achievements and research prowess have been recognized with numerous honors, including being an Outstanding Graduate of Henan Province and receiving prestigious scholarships from Zhengzhou University and Huazhong University of Science and Technology. His contributions to accepted and submitted papers in leading conferences and journals highlight his growing influence in the academic community.

Impact and Influence

Lin Guo's research has made a significant impact on the fields of computer vision and robotics, particularly in enhancing the accuracy and efficiency of point cloud registration and SLAM technologies. His methods have set benchmarks in performance on diverse datasets, demonstrating their applicability across indoor and outdoor environments.

Legacy and Future Contributions

Looking ahead, Lin Guo aims to continue pushing the boundaries of artificial intelligence and robotics. His future contributions are expected to further advance state-of-the-art techniques in SLAM optimization, 3D registration, and autonomous systems. By bridging theoretical insights with practical applications, he seeks to foster advancements that positively impact industries and society at large.

Notable Publications

SC 2-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration 2023 (9)

One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration 2022 (5)

Omirserik Baigenzhenov | Chemical Engineering | Best Paper Award

Posted on 13/02/202413/02/2024 by Book of Award

Prof. Omirserik Baigenzhenov | Chemical Engineering | Best Paper Award

Satbayev University | Kazakhstan

Author Profile

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Early Academic Pursuits

Prof. Omirserik Baigenzhenov commenced his academic journey by pursuing a Bachelor of Science in Metallurgy in 2009 at Kazakh National Research Technical University in Almaty, Kazakhstan. He continued his educational pursuits with a Master of Science in Metallurgy in 2011 and subsequently earned his Ph.D. in Metallurgy in 2014 from the same institution.

Professional Endeavors

With a focus on advancing his expertise in metallurgical science, Prof. Baigenzhenov engaged in various roles and responsibilities. He served as an Engineer, Junior Researcher, and Senior Researcher at RSE «National Center on complex processing of mineral raw materials of the Republic of Kazakhstan». Additionally, he contributed to academia as an assistant, lecturer, senior lecturer, assistant professor, and associated professor at Satbayev University.

Contributions and Research Focus

Prof. Baigenzhenov's research endeavors center around several key areas within metallurgical science. His work encompasses the processing and recycling of secondary raw materials, investigating processes for handling magnesium-containing wastes, and exploring sorption and extraction recovery techniques for rare metals. Through his contributions, he aims to enhance sustainability and efficiency within the metallurgical industry.

Accolades and Recognition

Prof. Baigenzhenov's dedication to his field earned him notable recognition, including a state scholarship for young scientists awarded by the Ministry of Education and Science of the Republic of Kazakhstan in 2015-2016. Moreover, his participation in qualification improvement courses, such as internships and seminars, demonstrates his commitment to continuous learning and professional development.

Impact and Influence

His research outcomes and academic contributions have had a significant impact on the metallurgical field, particularly in addressing environmental concerns, optimizing resource utilization, and advancing technological processes. Prof. Baigenzhenov's work serves as a foundation for further advancements in metallurgy, shaping industry practices and academic discourse.

Legacy and Future Contributions

As Prof. Baigenzhenov continues his scholarly journey, his legacy lies in the innovative solutions he offers to complex challenges in metallurgical science. Through ongoing research, education, and mentorship, he aims to inspire future generations of metallurgists and contribute to the sustainable evolution of the industry, leaving a lasting imprint on both academia and practice.