Afagh Alavi| Neurodegenerative | Best Researcher Award

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Assoc. Prof. Dr. Afagh Alavi| Neurodegenerative | Best Researcher Award

Assoc. Prof. Dr.Afagh Alavi, University of Social Welfare and Rehabilitation Sciences, Iran, 

Assoc. Prof. Dr. Afagh Alavi is a highly accomplished researcher and educator in the field of genetics. Her research contributions in neurodegenerative diseases, muscular dystrophies, and genetic infertility are groundbreaking, with significant potential for improving diagnostic and therapeutic approaches. Her leadership in large-scale, interdisciplinary research projects demonstrates her capability as a principal investigator. Furthermore, her commitment to teaching and mentoring the next generation of scientists ensures the continuity of high-quality research in her field.

Publication Profile

Scopus

Educational :

Dr. Afagh Alavi holds an MSc in Cellular and Molecular Biology from the University of Tehran, Iran, completed between 2005 and 2007. She further pursued a Ph.D. in Cellular and Molecular Biology at the same university, which she completed from 2008 to 2013. Following her doctoral studies, Dr. Alavi worked as a Postdoctoral Researcher at the University of Tehran from 2014 to 2015.

Experience:

Dr. Alavi began her academic career as a Teacher of Biology in various high schools across Iran, where she taught for 16 years (1997-2013). She then transitioned to the University of Social Welfare and Rehabilitation Sciences (USWR), Tehran, where she served as an Assistant Professor from 2015 to 2021. In 2021, she was promoted to Associate Professor, a position she currently holds. Additionally, Dr. Alavi has been teaching courses in Genetics, Cancer Genetics, and Bioinformatics at USWR since 2014

Skills:

Dr. Alavi possesses a wealth of expertise in various genetic techniques, including SNP genotyping, whole exome sequencing (WES), gene editing (CRISPR/Cas9), linkage analysis, RNA sequencing, and bioinformatics. She has experience in research management, serving as both a Principal Investigator (PI) and Co-Principal Investigator (Co-PI) in several genetic research projects. Furthermore, Dr. Alavi is an experienced educator, having taught both undergraduate and postgraduate students in genetics, molecular biology, and bioinformatics. She is fluent in English.

Awards & Fellowships:

Dr. Alavi has made significant contributions to the understanding of neurogenetic disorders and infertility. She has participated as a Co-PI in multiple large-scale research projects focused on ALS, hereditary spastic paraplegia (HSP), and other neurodegenerative conditions. As a PI, she has led successful research projects that identified causative genes in disorders such as FSHD and primary ovarian failure (POF). Dr. Alavi has collaborated with prestigious institutions, including the Iranian National Science Foundation (INSF) and the University of Social Welfare and Rehabilitation Sciences, to support her research endeavors.

Research Focus:

Dr. Alavi’s primary research interests lie within Human Genetics and Neurodegenerative Disorders, with a special focus on genetic approaches to understanding rare diseases. She investigates various neurodegenerative conditions, including Amyotrophic Lateral Sclerosis (ALS), hereditary spastic paraplegia (HSP), Neurodegeneration with Brain Iron Accumulation (NBIA), Parkinson’s disease, neuropathies, and muscular dystrophies. Additionally, she explores the genetic causes of infertility, particularly primary ovarian failure (POF), and uses cutting-edge techniques such as SNP genotyping, WES, and RNA sequencing to identify disease-causing genes.

 

Publication Top Notes:

  • Three Iranian patients with rare subtypes of hereditary spastic paraplegia (HSP): SPG76, SPG56, and SPG69
    • Citation: Sadr, Z., Ghasemi, A., Rohani, M., Mohammadi, Y., Alavi, A.
    • Journal: Neurogenetics
    • Year: 2025
    • Volume: 26(1)
    • Page(s): 12
  • A new genetic variant, presenting as young onset rapidly progressive dementia and parkinsonism
    • Citation: Eissazade, N., Alavi, A., Lang, A.E., Emamikhah, M., Khoeini, T.
    • Journal: Parkinsonism and Related Disorders
    • Year: 2024
    • Volume: 127
    • Article ID: 105849
  • Atypical presentations in an RTD patient and report of novel SLC52A3 and SLC52A2 mutations
    • Citation: Sabeghi, D., InanlooRahatloo, K., Mirzadeh, H.S., Nafissi, S., Elahi, E.
    • Journal: Acta Neurologica Belgica
    • Year: 2024
    • Volume: 124(4)
    • Pages: 1363–1370
  • JAM2 variants can be more common in primary familial brain calcification (PFBC) cases than those appear; may be due to a founder mutation
    • Citation: Khojasteh, M., Soleimani, P., Ghasemi, A., Rohani, M., Alavi, A.
    • Journal: Neurological Sciences
    • Year: 2024
    • Volume: 45(8)
    • Pages: 3829–3844
  • Corrigendum to “NMNAT1 and hereditary spastic paraplegia (HSP): Expanding the phenotypic spectrum of NMNAT1 variants”
    • Citation: Sadr, Z., Ghasemi, A., Rohani, M., Alavi, A.
    • Journal: Neuromuscular Disorders
    • Year: 2024
    • Volume: 35
    • Page(s): e1
  • A novel homozygous variant in the MCOLN1 gene associated with severe oromandibular dystonia and Parkinsonism
    • Citation: Ghasemi, A., Eslami Ardakani, M., Togha, M., Rohani, M., Alavi, A.
    • Journal: Canadian Journal of Neurological Sciences
    • Year: 2024
    • Status: Article in Press
  • Estimation of Ambulation and Survival in Neurodegeneration with Brain Iron Accumulation Disorders
    • Citation: Amini, E., Rohani, M., Lang, A.E., Emamikhah, M., Chitsaz, A.
    • Journal: Movement Disorders Clinical Practice
    • Year: 2024
    • Volume: 11(1)
    • Pages: 53–62

Conclusions:

Dr. Alavi’s extensive body of work and ongoing contributions make her a deserving candidate for the Best Researcher Award. Her strengths in leadership, innovation, and research quality far outweigh any areas that may require improvement. Expanding her international network and public outreach could further elevate her already impressive career

Komal Bansal| Mathematics | Best Researcher Award

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Assist. Prof. Dr. Komal Bansal| Mathematics | Best Researcher Award

Assist. Prof. Dr. Komal Bansal, Dev Samaj College for Women, Affiliated to Panjab University Chandigarh, India, 

Nigora M. Ghoyibova is an educator and researcher specializing in English language teaching and educational methodologies. With a Bachelor’s in International Journalism and a Master’s in English Linguistics from the Uzbek State World Languages University, she is currently a PhD student at the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers. Her professional roles include teacher, trainer, and regional mentor for various educational programs. She has presented at international conferences and holds certifications from TESOL and the British Council. Fluent in Uzbek, Russian, and English, Nigora is dedicated to advancing educational research. 📚🌍🎓

Publication Profile

Orcid

 Experience:

Dr. Komal Bansal has approximately 10 years of teaching experience at various esteemed institutions. She is currently serving as a faculty member at Dev Samaj College for Women, Chandigarh, affiliated with Panjab University, Chandigarh, for over 6 years. Additionally, she has taught at Panjab Engineering College (PEC), the Department of Mathematics at Panjab University, and the Department of Evening Studies at Panjab University.

Educational :

Doctor of Philosophy (Ph.D.) in Mathematics (Numerical Analysis)
Centre for Advanced Study in Mathematics, Panjab University, Chandigarh, India, 2017.
Awarded Junior and Senior Research Fellowship by the University Grants Commission (UGC), India.
Thesis Title: Numerical Analysis of Singularly Perturbed Parabolic Partial Differential-Difference Equations.,Master of Science (M.Sc.) in Mathematics,Panjab University, Chandigarh, India, 2009 (First Division, 2nd Position in Class).

Awards & Fellowships:

Nigora M. Ghoyibova has pursued numerous professional development opportunities to enhance her teaching skills. She earned the TESOL International Certificate from the American Council, sponsored by the U.S. Embassy (2022–2023). She participated in the British Council OTC Program (2022) and completed the Online Professional English Network TESOL Methodology program (2022), also sponsored by the U.S. Embassy. Additionally, Nigora was a Community Leader for the Open Community of Practice (2023) and completed the American Council TETE Cascading Program (2022). These certifications reflect her commitment to continuous learning and excellence in teaching. 🎓🌐📜

Research Focus:

Dr. Bansal’s research primarily focuses on Numerical Analysis, Singular Perturbation Theory, Finite Difference Methods, and Non-Standard Finite Difference Methods. Her research also extends to Differential-Difference Equations and Differential Equations, with an emphasis on the numerical treatment of singularly perturbed parabolic partial differential-difference equations.

Publication Top Notes:

  • Garima Komal Bansal, Kapil K. Sharma
    • Title: A parameter uniform numerical method for 2D singularly perturbed elliptic differential-difference equations
    • Year: 2024
    • DOI

 

  • Komal Bansal, Kapil K. Sharma, Aditya Kaushik, Gajendra Babu (First Author)
    • Title: Numerical analysis of singularly perturbed parabolic partial reaction diffusion differential difference equations
    • Year: 2024
    • DOI

 

  • Gajendra Babu, Kapil K. Sharma, Komal Bansal (Corresponding Author)
    • Title: A higher order compact numerical approach for singularly perturbed parabolic problems with retarded term
    • Year: 2024
    • DOI

 

  • Gajendra Babu, Komal Bansal (Corresponding Author)
    • Title: A high order robust numerical scheme for singularly perturbed delay parabolic convection diffusion problems
    • Year: 2022
    • DOI

 

  • Komal Bansal, Kapil K. Sharma (First Author)
    • Title: A high order robust numerical scheme for the generalized Stein’s model of neuronal variability
    • Year: 2021
    • DOI

 

  • Komal Bansal, Kapil K. Sharma (First Author)
    • Title: epsilon-Uniform numerical technique for the class of time dependent singularly perturbed parabolic problems with state dependent retarded argument arising from generalized Stein’s model of neuronal variability
    • Year: 2019
    • DOI

 

  • Komal Bansal, Kapil K. Sharma (First Author)
    • Title: Parameter-robust numerical scheme for time dependent singularly perturbed reaction-diffusion problem with large delay
    • Year: 2018
    • DOI

 

  • Komal Bansal, Kapil K. Sharma (First Author)
    • Title: Parameter uniform numerical scheme for time dependent singularly perturbed convection-diffusion-reaction problems with general shift arguments
    • Year: 2017
    • DOI

 

  • Komal Bansal, Pratima Rai, Kapil K. Sharma (First Author)
    • Title: Numerical treatment for the class of time dependent singularly perturbed parabolic problems with general shift arguments
    • Journal: Differential Equations and Dynamical Systems
    • Year: 2017
    • DOI

 

  • Komal Bansal, Kapil K. Sharma (First Author)
    • Title: An o (n-1 lnN) 4 parameter uniform difference method for singularly perturbed differential-difference equations
    • Journal: In Mathematical Analysis and its Applications
    • Year: 2015
    • DOI

Conclusions:

Dr. Komal Bansal is highly deserving of the “Best Researcher Award.” Her deep knowledge, substantial teaching experience, and proven research achievements make her an excellent candidate. However, expanding her research collaborations, increasing publication output, and venturing into interdisciplinary research could further strengthen her already impressive profile.

Nazek Obeidat | Applied Mathematics | Best Researcher Award

Published on by Academic Awards

Dr. Nazek Obeidat | Applied Mathematics | Best Researcher Award

Dr. Nazek Obeidat, Jordan University of Science and Technology, Jordan

Dr. Nazek Obeidat is a distinguished professor at the Jordan University of Science and Technology (JUST) in Jordan. She is renowned for her contributions to the field of medical and health sciences, particularly in respiratory medicine and public health. Dr. Obeidat has an extensive background in clinical research, focusing on respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Her work has significantly impacted public health policies and healthcare practices in Jordan and the region. As an educator, she is dedicated to training the next generation of healthcare professionals and advancing medical knowledge through her research and publications.

Publication profile

Scopus

Education:

Ph.D. in Mathematical Sciences,,nstitution: The University of Vermont, Burlington, VT, USA,Dates: 08/2019 – 05/2022,Dissertation: “Studies on The Tempered Fractional Natural Decomposition Method”,GPA: 3.86/4.0,Rating: Excellent, Pass with Distinction,M.A. in Mathematics,Institution: The University of Toledo, Toledo, OH, USA,Dates: 08/2016 – 05/2018,GPA: 3.89/4.0,Rating: Excellent,M.Sc. in Applied Mathematics,Institution: Jordan University of Science & Technology, Irbid, Jordan,Dates: 2010 – 2012,B.Sc. in Mathematics,Institution: The University of Findlay, Findlay, OH, USA,Dates: 08/2005 – 06/2008,Major: Mathematics,Minor: Political Science,GPA: 3.92/4.0,Honors: Summa Cum Laude, First in Class, Dean’s List of Excellence

Professional Experience:

Postdoctoral Fellow (2022 – 2024),Graduate Teaching Assistant (2019 – 2022),Institution: The University of Vermont,Graduate Teaching Assistant (2016 – 2018),Institution: The University of Toledo,Mathematics Instructor (2013 – 2014),Institution: Philadelphia University,Teaching Assistant (2006 – 2009),Institution: The University of Findlay,Mathematics Tutor/Grader (2005 – 2006),Institution: The University of Toledo

Research Grants:

  • Funded Research: Ongoing project on advanced tempered fractional calculus applications in biological systems and engineering models.
  • Funding Agencies: National Science Foundation (NSF), National Institutes of Health (NIH), and other scientific foundations.

Professional Memberships:

SIAM: Society for Industrial and Applied Mathematics,AMS: American Mathematical Society,MAA: Mathematical Association of America

Publication Top Notes

  • Nazek A. Obeidat, D. Bentil, “New Theories and Applications of Tempered Fractional Differential Equations,” Nonlinear Dynamics, 105(2), 1689-1702, 2021.
  • Nazek A. Obeidat, D. Bentil, “Convergence Analysis of the Fractional Decomposition Method with Applications to Time-Fractional Biological Population Models,” Numerical Methods for Partial Differential Equations, 39(1), 696-715, 2023.
  • Nazek A. Obeidat, D. Bentil, “Novel technique to investigate the convergence analysis of the tempered fractional natural transform method applied to diffusion equations,” Journal of Ocean Engineering and Science, 8(6), 636-646, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Theories of tempered fractional calculus applied to tempered fractional Langevin and Vasicek equations,” Mathematical Methods in the Applied Sciences, 46(8):8582-8595, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “On Theories of Natural Decomposition Method Applied to System of Nonlinear Differential Equations in Fluid Mechanics,” Advances in Mechanical Engineering, Vol. 15(1), 1–15, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Convergence Analysis for the Fractional Decomposition Method Applied to Class of Nonlinear Fractional Fredholm Integro-Differential,” Journal of Algorithms and Computational Technology, Vol. 19(1), 1–19, 2023.
  • M. Rawashdeh, Nazek A. Obeidat, and O. Ababneh, “Using the decomposition method to solve the fractional order temperature distribution equation: A new approach,” Mathematical Methods in the Applied Sciences, 46:14321–14339, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Theoretical Analysis of New Techniques Applied to Applications in Fluid Dynamics,” International Journal of Modelling and Simulation, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, H. Abedalqader, “New Class of Nonlinear Fractional Integro-Differential Equations with Theoretical Analysis via Fixed Point Approach: Numerical and Exact Solutions,” Journal of Applied Analysis and Computation, Vol. 13, No. 5, 2767-2787, 2023.
  • Nazek A. Obeidat, “Important Theories and Applications Arise in Physics and Engineering Using a New Technique: The Natural Decomposition Method,” Journal of Advanced Research in Applied Sciences and Engineering Technology, 34(1), 2024.
  • Nazek A. Obeidat, M. S. Rawashdeh, and R. S. Yahya, “Convergence analysis of the effects of antiviral drug treatment in the fractional differential model of HIV-1 infection of CD4+ T- cells,” International Journal of Modelling and Simulation, 2024.
  • Nazek A. Obeidat, “A New Efficient Transform Mechanism with Convergence Analysis of the Space-Fractional Telegraph Equations,” Journal of Applied Analysis and Computation, Vol. 14, No. 5, 3007-3032, 2024.
  • Nazek Obeidat, Mahmoud S. Rawashdeh, and Rahaf. S. Yahya, “Implementation of an effective transform technique for convergence analysis of the fractional enzyme kinetic and blood alcohol level models,” Mathematical Methods in the Applied Sciences, 2024.
  • Nazek A. Obeidat, Mahmoud Saleh Rawashdeh, and Mohammad N. Al Smadi, “Theoretical analysis of J-transform decomposition method with applications of nonlinear ordinary differential equations,” Science Progress, Vol. 107(2), 2024.
  • Nazek A. Obeidat, M. S. Rawashdeh, and M. Q. Al Erjani, “A Novel Adomian Natural Decomposition Method with Convergence Analysis of Nonlinear Time-Fractional Differential Equations,” International Journal of Modelling and Simulation, 2024.
  • Nazek A. Obeidat. M. Rawashdeh, “Applying the Reduced Differential Transform Method to Solve the Telegraph and Cahn-Hilliard Equations,” Thai Journal of Mathematics, Volume 13, Number 1, 2015.
  • Nazek A. Obeidat. M. Rawashdeh, “On Finding Exact and Approximate Solutions to Some PDEs Using the Reduced Differential Transform Method,” Applied Mathematics and Information Sciences, Vol. 8, No. 5, 2014.
  • Nazek A. Obeidat, “Improved Approximate Solutions to Nonlinear PDEs Using the ADM and DTM,” Thai Journal of Mathematics, Volume 12, Number 3, 2014.
  • Nazek A. Obeidat, “An Efficient Technique Via the J-Transform Decomposition Method: Theoretical Analysis with Applications,” (Under Review).
  • Nazek A. Obeidat, M. Rawashdeh, “Solving Caputo and Riemann-Liouville Types of Sequential Fractional Differential Equations Using the Fractional Decomposition Method,”

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