Sajjad Ali | Computational Methods | Best Researcher Award

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Dr. Sajjad Ali | Computational Methods | Best Researcher Award

PHD at Abdul Wali Khan University Mardan, Pakistan

Dr. Sajjad Ali is a Lecturer in Mathematics at Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan. He received his Ph.D. in Mathematics from Abdul Wali Khan University Mardan in 2019. With over a decade of teaching experience, Dr. Ali specializes in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods. He supervises M.Phil and Ph.D. students and is involved in departmental administration. His research interests include mathematical modeling and computational methods. Dr. Ali is proficient in MATLAB, MS Office, Excel, and LaTeX, and he is fluent in Urdu, English, Pashto, and Khohar.

Professional Profiles

Education

Ph.D. in Mathematics (2015 – 2019) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan M.Phil in Mathematics (2009 – 2012) Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan Bachelor of Education (B.Ed) (2007 – 2008) Allama Iqbal Open University, Islamabad, Pakistan Master of Science in Mathematics (2005 – 2007) University of Malakand Chakdara, Khyber Pakhtunkhwa, Pakistan Bachelor of Science in Mathematics (2002 – 2004) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan F.Sc. Pre-Engineering (2000 – 2002) Government Degree College Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan Metric in Science (1999 – 2000) Government School No.2 Tangi, Charsadda, Khyber Pakhtunkhwa, Pakistan.

Skills

Research in Mathematics Teaching and Administrative Skills Software MATLAB MS Office Excel LaTeX

Work History

Shaheed Benazir Bhutto University Sheringal, Dir (Upper), Pakistan Lecturer in Mathematics (2011 – Present) Teaching Ph.D./M.Phil courses in Bio-Mathematics, Fractional Differential Equations, and Advanced Homotopy Methods Teaching BS courses in Partial Differential Equations and Ordinary Differential Equations Supervising M.Phil and Ph.D. research students M.Phil/Ph.D. Coordinator in the Department of Mathematics Member of the Departmental Admission Committee Warden of Ihsan Boys Hostel Tameer e Seerat Degree College, Mardan Campus, Pakistan Lecturer in Mathematics (2010 – 2011) Taught graduate-level Mathematics Hostel Warden Farabi Degree College, Peshawar, Pakistan Lecturer in Mathematics (2009 – 2010) Taught graduate-level Mathematics Government Degree College, Tangi, Charsadda, Pakistan Lecturer in Mathematics (2007 – 2009) Taught graduate-level Mathematics

Interests

Mathematical modeling, Computational methods

Awards

Top Position Holder in Master of Mathematics at University of Malakand (2007) Awardee as Lecturer in Mathematics through the Higher Education Commission Pakistan (2008)

Research Focuse

Dr. Sajjad Ali’s research focuses on the numerical treatment and computational solutions of fractional order differential equations, with applications in reaction-diffusion systems, biological population models, and ion-acoustic waves. His work includes developing iterative and stable methods for solving boundary value problems of nonlinear fractional differential equations. Dr. Ali has collaborated extensively with international researchers, contributing to journals such as Chaos, Solitons & Fractals and the Journal of Advanced Research. His studies also explore the stability analysis and exact solutions of complex mathematical models, emphasizing fractional calculus and its applications in various scientific and engineering problems.

Publications

  1. Nonlinear coupling of upper-hybrid waves with lower-hybrid waves in a degenerate dense plasma, Publication date: 2021.
  2. Unstable mode of ion-acoustic waves with two temperature q-nonextensive distributed electrons, Publication date: 2021.
  3. Computation of solution to fractional order partial reaction diffusion equations, Publication date: 2020.
  4. On stable iterative solutions for a class of boundary value problem of nonlinear fractional order differential equations, Publication date: 2019.
  5. Computation of iterative solutions along with stability analysis to a coupled system of fractional order differential equations, Publication date: 2019.
  6. Approximate solutions to nonlinear fractional order partial differential equations arising in ion-acoustic waves, Publication date: 2019.
  7. Stable monotone iterative solutions to a class of bound-ary value problems of nonlinear fractional order differential equations, Publication date: 2019.
  8. Monotone iterative technique and Ulam-Hyers stability analysis for nonlinear fractional order differential equations with integral boundary value conditions, Publication date: 2019.
  9. Optimum solutions of space fractional order diffusion equation, Publication date: 2018.
  10. On Approximate solutions of fractional Order partial differential equations, Publication date: 2018.
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Dinoja Fernando | Computational Science | Best Researcher Award

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Ms. Dinoja Fernando, Computational Science, Best Researcher Award

Current PhD candidate at Swinburne University of Technology, Australia

Dinoja Fernando is a seasoned Refrigeration Engineer and current PhD candidate at Swinburne University of Technology, specializing in thermal and fluid systems modeling. With a B.Sc. (Hons) in Production Engineering from the University of Peradeniya, Sri Lanka, he possesses comprehensive expertise in designing and troubleshooting refrigeration systems. Dinoja excels in project planning, FDA/TGA compliance, and innovative data analysis. His career includes roles at Vitrafy Life Sciences, Tranzfreeze Transport Refrigeration, and Avan RV Pakenham. Dinoja’s commitment to advancing engineering knowledge is evident in his ongoing doctoral research. A skilled decision-maker, he thrives in challenging environments, achieving targets with precision.

Professional Profiles:

Scopus profile

Orcid profile

Researchgate profile

EDUCATION QUALIFICATION:📚

Degree: B.Sc. in Engineering Department/Group: Electrical and Electronic Engineering (EEE). University/Institute/School: Begum Rokeya University, Rangpur (BRUR) CGPA: 3.57/4.00

Employment History:

Refrigeration Engineer – Vitrafy Life Sciences (Aug 2021 – Current): Advises the management team and leads refrigeration system design and fabrication. Troubleshoots issues, plans projects, and executes strategies within timeframes. Manages contractors, ensuring compliance with FDA and TGA standards for cryogenic freezers. Applies advanced research skills for data analysis, mathematical modeling, and thermal system calculations. Designs and reviews refrigeration systems for compliance with industry standards. PhD Candidate (Final Year) – Swinburne University of Technology (Feb 2020 – Current): Develops a 3D numerical model for thermal and fluid systems. Utilizes advanced simulation CFD software and validates results with experiments. Produces high-level reports/articles for journals and delivers presentations.

Technical Skills:

AVL Fire (Computational Fluid Dynamics software) Knowledge of various refrigerants MS Office Suite, Fusion 360, AutoCAD, SolidWorks

Qualifications:

Bachelor of Science (Hons) specialized in Production Engineering, University of Peradeniya, Sri Lanka (Australian Washington Accord accredited). Assessed as comparable to AQF level (skill level 1) by Engineers Australia.

Research Focus:

Dinoja Fernando’s research focuses on the numerical modeling of biomass gasification, specifically exploring the impact of steam injection on catalytic bed materials. As a dedicated researcher and PhD candidate at Swinburne University of Technology, his work delves into the intricacies of thermal and fluid systems. Dinoja employs advanced simulation techniques, validating his models through experiments and contributing valuable insights to the field of sustainable energy. His commitment to understanding the dynamics of biomass gasification with catalytic processes showcases a keen interest in renewable energy solutions and environmentally friendly technologies.

Publications (TOP NOTES)

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