Sunday Aloke | Mathematics | Best Researcher Award

Published on by Academic Excellence

Best Researcher Award

Sunday Aloke
David Umahi Federal University,Nigeria

Sunday Aloke
Affiliation David Umahi Federal University
Country Nigeria
Google Scholar  ID xJSAYHgAAAAJ
Documents 25
Citations 27
h-index 4
Subject Area Mathematics
Event International Academic Excellence Awards

Sunday Aloke is a mathematics researcher affiliated with David Umahi Federal University, Nigeria. His scholarly work encompasses mathematical modelling, infectious disease transmission dynamics, sensitivity analysis and the application of quantitative methods to public health challenges.His publications address epidemiological modelling of diseases including Lassa fever, HIV/AIDS, malaria and dengue, alongside research concerning academic capacity building and the utilization of data analysis software. These contributions provide the basis for considering his research profile in connection with the Best Researcher Award at the International Academic Excellence Awards.

Abstract

Sunday Aloke’s research focuses on mathematical approaches to understanding infectious disease transmission and evaluating possible intervention strategies. His scholarly contributions include epidemiological models addressing Lassa fever, HIV/AIDS, malaria and dengue. These studies employ mathematical modelling, sensitivity analysis and related analytical techniques to investigate disease dynamics and identify influential parameters. His research also extends to the application of data analysis software in academic capacity building. The reported publication and citation indicators provide a quantitative overview of his scholarly activity. His work reflects the relevance of mathematical analysis to epidemiology, public health research and evidence-based decision-making in Nigeria. [1][2]

Keywords

Mathematical modelling, Mathematics, Epidemiology, Infectious disease dynamics, Lassa fever, HIV/AIDS, Malaria transmission, Dengue modelling, Sensitivity analysis, Bifurcation analysis, Public health, Data analysis.

Introduction

Mathematical modelling is an important research discipline for investigating complex biological and epidemiological systems. It provides quantitative frameworks for examining transmission patterns, assessing intervention strategies and understanding how changes in model parameters influence disease outcomes. In Nigeria, mathematical investigations of infectious diseases are particularly relevant to public health planning and the interpretation of epidemiological conditions.

Within this research context, Sunday Aloke has contributed to studies examining infectious disease transmission through mathematical frameworks. His publications demonstrate engagement with regional epidemiological problems and analytical approaches that support the study of disease progression and control. [1][3]

Research Profile

Aloke’s research profile is primarily associated with applied mathematics and mathematical modelling. His reported publications indicate an interdisciplinary orientation connecting mathematical analysis with epidemiology, infectious disease research and academic development. His research activities involve collaborative investigations with other scholars and address problems requiring quantitative interpretation.

The available publication information identifies several recurring research interests:

  • Mathematical modelling of infectious disease transmission.
  • Sensitivity and perturbation analysis of epidemiological systems.
  • Bifurcation analysis and optimal disease control.
  • Quantitative approaches to public health challenges in Nigeria.
  • Application of data analysis software in academic capacity building.

Research Contributions

One notable contribution is the 2024 study, A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. Co-authored with Patrick A. Okpara, the research applies mathematical modelling to examine Lassa fever transmission and control within a defined Nigerian setting. The publication provides an example of the application of mathematical methods to a significant regional health concern. [1]

His collaborative research also includes a 2026 investigation of HIV/AIDS transmission dynamics through an age-structured model. This study incorporates sensitivity analysis to examine the influence of relevant parameters on disease transmission. [2]

Additional publications address malaria transmission through asymptotic perturbation and sensitivity analysis, as well as dengue infection dynamics using perturbation, bifurcation analysis and optimal control. These studies illustrate the application of mathematical techniques to different epidemiological systems. [3][4]

Publications

Selected scholarly publications associated with Sunday Aloke include:

  1. Aloke, S. N., & Okpara, P. A. (2024). A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. American Journal of Applied Mathematics, 12(2), 24–36. DOI: 10.11648/j.ajam.20241202.11
  2. Agha, C., Adagba, H. O., Aloke, S. N., Efor, T. E., Nwite, O., et al. (2026). Sensitivity analysis of an age-structured model of HIV/AIDS transmission dynamics in Nigeria through mathematical modelling. Asian Journal of Pure and Applied Mathematics, 8(1), 30–41. Publication record
  3. Aloke, S. N., Adagba, H. O., Michael, U. E., Nwite, O., Efor, T., et al. (2026). Asymptotic perturbation and sensitivity analysis of malaria transmission in Nigeria: A mathematical model. Recent Advances in Natural Sciences. Publication record
  4. Ezaka, A. N., Adagba, H. O., Aloke, S. N., Omenyi, L. O., Efor, T. E., Nwite, O., & Agha, C. (2026). Perturbation and bifurcation analysis of a primary-secondary dengue infection transmission model with explicit vector dynamics and optimal control. African Scientific Reports. Publication record
  5. Okeh, U., Okpara, P., Aloke, S., & Igwe, T. (2025). Evaluating the adoption and utilization of data analysis software packages for academic capacity building among lecturers at David Umahi Federal University of Health Sciences. Nature Journal of Emerging Sciences Technologies and Innovations, 3(2), 60–71. Publication record

Research Impact

The reported research indicators comprise 25 documents, 27 citations and an h-index of 4. These figures offer a quantitative snapshot of the researcher’s scholarly output and citation activity. His publications also demonstrate collaboration across mathematical and public health research themes. The regional focus of several studies provides an applied dimension, particularly through mathematical investigations of infectious diseases affecting Nigerian communities. Citation indicators should be interpreted in relation to publication dates, disciplinary practices and the development of an individual research portfolio.

Award Suitability

The Best Researcher Award recognizes scholarly contributions, research productivity and the relevance of academic work within a particular discipline. Sunday Aloke’s documented publications provide evidence of research engagement in applied mathematics, epidemiological modelling and quantitative public health investigations. His work on Lassa fever, HIV/AIDS, malaria and dengue demonstrates the application of mathematical techniques to important scientific and societal problems. His reported publication and citation indicators offer additional information for assessing his academic development. These documented activities provide a basis for consideration under the Best Researcher Award category at the International Academic Excellence Awards. Final recognition remains subject to the event’s independent evaluation and selection procedures.

Conclusion

Sunday Aloke’s academic profile reflects an ongoing engagement with mathematical modelling and interdisciplinary research, particularly in infectious disease transmission dynamics. His publications address epidemiological challenges through sensitivity analysis, perturbation methods, bifurcation analysis and mathematical approaches to disease control. Together with his reported scholarly indicators, these contributions establish a research record relevant to applied mathematics and public health. His profile provides a documented foundation for consideration in the Best Researcher Award category of the International Academic Excellence Awards.

References

  1. Aloke, S. N., & Okpara, P. A. (2024). A mathematical model of Lassa fever transmission and control in Ebonyi State, Nigeria. American Journal of Applied Mathematics, 12(2), 24–36. https://doi.org/10.11648/j.ajam.20241202.11
  2. Agha, C., Adagba, H. O., Aloke, S. N., Efor, T. E., Nwite, O., et al. (2026). Sensitivity analysis of an age-structured model of HIV/AIDS transmission dynamics in Nigeria through mathematical modelling. Asian Journal of Pure and Applied Mathematics, 8(1), 30–41. https://jofmath.com/index.php/AJPAM/article/view/249
  3. Aloke, S. N., Adagba, H. O., Michael, U. E., Nwite, O., Efor, T., et al. (2026). Asymptotic perturbation and sensitivity analysis of malaria transmission in Nigeria: A mathematical model. Recent Advances in Natural Sciences. https://rans.nsps.org.ng/index.php/rans/article/view/203
  4. Ezaka, A. N., Adagba, H. O., Aloke, S. N., Omenyi, L. O., Efor, T. E., Nwite, O., & Agha, C. (2026). Perturbation and bifurcation analysis of a primary-secondary dengue infection transmission model with explicit vector dynamics and optimal control. African Scientific Reports. https://asr.nsps.org.ng/index.php/asr/article/view/438
  5. Okeh, U., Okpara, P., Aloke, S., & Igwe, T. (2025). Evaluating the adoption and utilization of data analysis software packages for academic capacity building among lecturers at David Umahi Federal University of Health Sciences. Nature Journal of Emerging Sciences Technologies and Innovations, 3(2), 60–71. https://naturerust.com/index.php/njesti/article/view/15
  6. Google Scholar. (n.d.). Sunday Aloke – Research publications and citation profile. Google Scholar Author Profile
  7. International Academic Excellence Awards. (n.d.). Official award website. https://academicexcellenceawards.com/

Tariq Jamil | Machine Learning Award | Best Researcher Award

Published on by Academic Excellence

Mr. Tariq Jamil | Machine Learning Award | Best Researcher Award

Lead multilingual education at TensorDot Solutions, Pakistan🎓

Mr. Tariq Jamil is an accomplished AI/ML engineer and data scientist with a rich background in both academia and industry. His expertise spans a wide range of AI and machine learning domains, including deep learning, natural language processing, computer vision, and large language models. With a career marked by successful project management, innovative AI applications, and educational contributions, Mr. Jamil has consistently demonstrated his capacity for leadership and technical excellence. His experience as a project leader in various AI challenges and his role in training the next generation of AI professionals highlight his commitment to advancing the field.

Professional Profile 

🎓Education

Mr. Tariq Jamil holds a Post-Graduate Diploma in Data Science with Artificial Intelligence from NED University of Engineering and Technology, Pakistan, completed between December 2021 and June 2023. His coursework included an in-depth study of Python, data visualization, machine learning, deep learning, and computer vision. His capstone project involved the development of a chatbot using deep learning, specifically fine-tuning the Falcon large language model for customer service applications. Prior to this, Mr. Jamil earned a Bachelor of Engineering in Aviation Electronics with a specialization in Aerospace Technology from the same institution, graduating in December 1991. His academic foundation in digital electronics, communications, and quality systems, combined with his later specialization in AI, has provided him with a strong interdisciplinary background, enabling him to excel in both the engineering and data science fields.

💼Work Experience

Mr. Tariq Jamil has amassed a diverse and impactful work experience that spans multiple domains in the fields of AI, machine learning, and data science. Since January 2021, he has been working as a freelance AI/ML Engineer and Data Scientist in Karachi, Pakistan. In this role, Mr. Jamil has successfully managed multiple customer projects on platforms like Upwork and Freelancer.com, as well as with private clients. His work has involved a comprehensive range of AI technologies, including computer vision, video action detection, deep learning, natural language processing, and large language models. Notably, he contributed to the success of a pioneering marketing startup, True Insights, and developed advanced AI models for video crime scene detection and sign language recognition. In addition to his freelance work, Mr. Jamil served as an AI Trainer at NED University in Karachi from October 2023 to March 2024. He designed and taught graduate-level courses in Artificial Intelligence, focusing on deep learning, LLMs, Python, and computer vision. His teaching played a pivotal role in shaping the university’s Post Graduate Diploma program in Generative AI and the “DS & AI” program, where he taught classes on foundational and advanced AI concepts. Furthermore, Mr. Jamil has been an active contributor to Omdena, a global AI community, since July 2023. As the Chapter Lead for the UAE division, he led several innovative AI projects, including the development of a voice-enabled chatbot for Abu Dhabi Open Data Intelligence and an AI application for liver cancer histopathology detection. His role involved coordinating teams of data scientists and overseeing the technical execution of these projects, which led to significant advancements in AI applications for healthcare and data analytics.

🔍Research Focus 

Mr. Tariq Jamil’s research focus lies at the intersection of artificial intelligence (AI), machine learning (ML), and their practical applications across various domains. His work encompasses deep learning, natural language processing (NLP), computer vision, and large language models (LLMs), with a particular emphasis on developing AI solutions for real-world challenges. He has applied his expertise in projects ranging from video action detection and anomaly detection to chatbot development and healthcare diagnostics, such as histopathology and cervical cytology detection.

Mr. Jamil’s research is characterized by a commitment to innovation and impact. He has led projects that harness cutting-edge AI technologies, such as Transformers, YOLO, and OpenCV, to create applications that enhance automation, accuracy, and efficiency in fields like healthcare, security, and transportation. His work in fine-tuning LLMs for specific tasks, such as customer support and legal document processing, highlights his ability to customize AI models to meet the unique needs of different industries.

🏆Awards and Honors

Mr. Tariq Jamil has been recognized for his outstanding contributions to the fields of artificial intelligence and machine learning through various awards and honors. His leadership and innovation in AI, particularly in areas such as deep learning, natural language processing, and computer vision, have earned him accolades from both academic and professional communities. He has been acknowledged for his exceptional project management skills, notably in AI challenges that addressed critical real-world problems like healthcare diagnostics, vehicle inspection, and road safety.

In addition to his technical achievements, Mr. Jamil’s dedication to education has been celebrated, with honors highlighting his impactful teaching and mentoring roles at NED University. His efforts in training the next generation of AI professionals and his involvement in pioneering AI projects have further solidified his reputation as a leading expert in his field. These recognitions serve as a testament to Mr. Jamil’s commitment to excellence and his significant contributions to advancing the frontiers of AI technology.

Conclusion

Based on Mr. Tariq Jamil’s extensive experience, leadership in AI innovation, and dedication to education, he is a strong candidate for the Best Researcher Award. His ability to apply AI solutions to real-world problems, coupled with his commitment to advancing AI education, makes him a valuable asset to the AI community. With continued focus on publishing and expanding his professional network, Mr. Jamil could further elevate his contributions to the field, making him a highly deserving recipient of this award.

📖Publications : 

  1. Publication: “Fluid Coupled Structural Analysis and Optimization of Expanded Polystyrene-Fiber-Reinforced Composite Wing of an Unmanned Aerial Vehicle”
    • Authors: Jamil, T.; Iqbal, A.; Allauddin, U.; Saleem, S.; Ikhlaq, M.
    • Year: 2024
    • Journal: Mechanics of Composite Materials
    • Citations: 0
  2. Publication: “Effect of Glass Powder on the Compressive Strength and Drying Shrinkage Behavior of OPC- and LC3-50-Based Cementitious Composites of Various Strengths”
    • Authors: Ayub, T.; Jamil, T.; Ayub, A.; Mehmood, E.; Sheikh, M.D.
    • Year: 2024
    • Journal: Advances in Materials Science and Engineering
    • Citations: 0
  3. Publication: “Mechanical and Durability Properties of High-Strength Limestone Calcined Clay Cement (LC3) Concrete Containing Waste Glass Powder”
    • Authors: Ayub, A.; Ayub, T.; Jamil, T.; Khan, A.-U.-R.
    • Year: 2023
    • Journal: Iranian Journal of Science and Technology – Transactions of Civil Engineering
    • Citations: 2
  4. Publication: “Electromechanical characterizations of PEDOT

    and its nanocomposite thin films on a cost-effective polymer substrate for microelectromechanical systems (MEMS) applications”

    • Authors: Khan, S.T.; Mehdi, M.; Jamil, T.
    • Year: 2023
    • Journal: Express Polymer Letters
    • Citations: 1
  5. Publication: “Sustainable cementitious material with ultra-high content partially calcined limestone-calcined clay”
    • Authors: Qian, X.; Ruan, Y.; Jamil, T.; Hu, S.; Liu, Y.
    • Year: 2023
    • Journal: Construction and Building Materials
    • Citations: 13
  6. Publication: “Investigating the crumpling effect in honeycomb sandwich panels under bending loads using FEA technique”
    • Authors: Saqib, N.; Jamil, T.; Zai, B.A.
    • Year: 2023
    • Journal: Aeronautical Journal
    • Citations: 0
  7. Publication: “HEAT-TRANSFER ENHANCEMENT OF A SOLAR PARABOLIC TROUGH COLLECTOR USING TURBULATORS AND NANOPARTICLES: A NUMERICAL STUDY”
    • Authors: Allauddin, U.; Ikhlaq, M.; Jamil, T.; Mustafa, H.; Azeem, M.H.
    • Year: 2023
    • Journal: Journal of Enhanced Heat Transfer
    • Citations: 1
  8. Publication: “Comparative Study on LC3-50 with OPC Concrete Using Raw Materials from Pakistan”
    • Authors: Sheikh, M.D.; Jamil, T.; Ayub, T.; Bilal, S.M.; Hu, C.
    • Year: 2023
    • Journal: Advances in Materials Science and Engineering
    • Citations: 2
  9. Publication: “Numerical simulation and validation of MWCNT-CFRP hybrid composite structure in lightweight satellite design”
    • Authors: Iqbal, S.; Jamil, T.; Murtuza Mehdi, S.
    • Year: 2023
    • Journal: Composite Structures
    • Citations: 9
  10. Publication: “Virtual Captive Model tests for Maneuvering Prediction”
    • Authors: Khan, O.U.; Mansoor, A.; Zai, B.A.; Hussain, M.; Jamil, T.
    • Year: 2022
    • Journal: Journal of Maritime Research
    • Citations: 1