Riccardo Sacco | Mathematical Modeling | Best Researcher Award

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Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling | Best Researcher Award

Assoc. Prof. Dr. Riccardo Sacco, Icahn School of Madicine at Mount Sinai Hospital New York, United States

Dr. Riccardo Sacco is an expert in numerical analysis, computational modeling, and biomathematics. Previously, he served as Associate Professor at Politecnico di Milano (2001–2024). His research spans ophthalmology, bioelectronics, and fluid dynamics, with 269 publications, an h-index of 31, and over 7,300 citations. He has authored 7 books, including one translated into five languages. Dr. Sacco has secured $784,000 in research funding, mentored 60+ master’s and 7 PhD students, and serves as an editor for multiple journals. He has held visiting positions at AT&T Bell Labs, Georgia Tech, and Strasbourg University.

Publication Profile

Google Scholar

Academic Journey

Assoc. Prof. Dr. Riccardo Sacco is a distinguished researcher in Numerical Analysis. Since November 2024, he has been serving as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, New York, USA 🏥. Prior to this, he dedicated over two decades (2001-2024) as an Associate Professor at Politecnico di Milano (PoliMi), Italy 🎓. His expertise was further recognized in March 2017, when he earned the Habilitation at the rank of Full Professor in Numerical Analysis 📊. Dr. Sacco’s contributions continue to shape computational mathematics and biomedical applications. 🔬💡

🎓 Teaching & Mentorship

Assoc. Prof. Dr. Riccardo Sacco is actively engaged in teaching and mentoring at Politecnico di Milano (PoliMi) 🏛️. In the current academic year, he teaches Numerical Analysis 📊 (Fall Semester, MS in Civil Engineering, 160 students) and Computational Modeling in Electronics & Biomathematics 🧬⚡ (Spring Semester, MS in various engineering fields, 40 students). He also teaches Numerical Analysis (Spring Semester, BS in Electronic Engineering, 100 students). Since 2000, he has mentored 6 undergraduate students, 60+ MS students (including 20 females), and 7 PhD candidates (including 4 females) 🎯📖.

🏆 Honors & Awards

Assoc. Prof. Dr. Riccardo Sacco has received prestigious recognitions for his contributions to numerical analysis and computational modeling 🏅. In 2001, he was included in Who’s Who in the World 2001 📖 (18th Edition, p. 1877, New Providence, NJ). In 2010, he co-authored the “Most Downloaded Article” in Computer Methods in Applied Mechanics and Engineering (CMAME) 📊. The paper, titled “Analytical and numerical study of photocurrent transients in organic polymer solar cells”, was published in Volume 199 (2010), Pages 1722-1732, showcasing his impactful research in computational electromagnetics ⚡🔬.

📜 Professional Records

Assoc. Prof. Dr. Riccardo Sacco holds a B.Sc./M.Sc. in Electronic Engineering (PoliMi, 1989) 🎓 and a Ph.D. in Applied Mathematics (UniMi, 1993) 📊. He pursued postdoctoral research at CNR and UniMi (1993-1995) 🔬. His career spans roles as lecturer, researcher, and scientific consultant in academia and industry 🏛️💡. He has been a visiting scientist at AT&T Bell Labs, Georgia Tech, and European/US universities 🌎. Additionally, he has served on editorial and PhD boards and moderated international conferences 🎤. He is a reviewer for over 30 high-impact journals, contributing to numerical analysis, biomathematics, and computational modeling 🏆📖.

🎓 Teaching Records

Assoc. Prof. Dr. Riccardo Sacco has been actively involved in teaching at Politecnico di Milano (PoliMi) since 1989 📚. He has taught Calculus and Numerical Analysis to undergraduate and graduate students in Engineering and Architecture 🏗️. From 1995-2001, he expanded his focus to Numerical Methods for Engineering, covering Mechanical, Aerospace, and Electronic Engineering ✈️⚙️. Since 2001, he has led courses in Computational Modeling, Functional and Numerical Methods, and Biomathematics for students in Mechanical, Civil, Electronic, Mathematical, and Physics Engineering 📊🔬. His extensive teaching experience has contributed to the development of future engineers and researchers.

🔬 Research Focus

Assoc. Prof. Dr. Riccardo Sacco’s research spans numerical mathematics 🧮, computational modeling 🖥️, and scientific computing 📊. His work includes finite element methods, discontinuous Galerkin methods, and multiphysics modeling for engineering applications. He has contributed to semiconductor physics ⚡, poroelasticity in biomechanics 🏥, and blood flow mechanics ❤️. His studies also extend to quantum-corrected drift-diffusion models and biomechanics of the optic nerve 👁️. With highly cited works on numerical methods in engineering, computational electronics, and biomedical applications, his research bridges applied mathematics, physics, and bioengineering for advancing computational science.

Publication Top Notes

  • Numerical mathematics
    Cited by: 3901
    Year: 2010 📘
  • Matematica numerica
    Cited by: 236
    Year: 2010 📘
  • A hybridizable discontinuous Galerkin method for steady-state convection-diffusion-reaction problems
    Cited by: 228
    Year: 2009 🖥️
  • Méthodes Numériques: Algorithmes, analyse et applications
    Cited by: 222
    Year: 2007 📚
  • Numerische Mathematik 2
    Cited by: 163
    Year: 2013 📖
  • Quantum-corrected drift-diffusion models for transport in semiconductor devices
    Cited by: 150
    Year: 2005 ⚡
  • Méthodes numériques pour le calcul scientifique: programmes en MATLAB
    Cited by: 111
    Year: 2000 💻
  • A poroelastic model for the perfusion of the lamina cribrosa in the optic nerve head
    Cited by: 90
    Year: 2014 👁️
  • A semi-Lagrangian discontinuous Galerkin method for scalar advection by incompressible flows
    Cited by: 90
    Year: 2006 🌊
  • Discretization of semiconductor device problems (I)
    Cited by: 87
    Year: 2005 ⚙️
  • Analysis of nonlinear poro-elastic and poro-visco-elastic models
    Cited by: 84
    Year: 2016 🏥
  • Blood flow mechanics and oxygen transport and delivery in the retinal microcirculation: multiscale mathematical modeling and numerical simulation
    Cited by: 82
    Year: 2016 ❤️
  • The discontinuous Petrov–Galerkin method for elliptic problems
    Cited by: 79
    Year: 2002 🔢
  • A multiphysics/multiscale 2D numerical simulation of scaffold-based cartilage regeneration under interstitial perfusion in a bioreactor
    Cited by: 74
    Year: 2011 🦠
  • Cardiovascular function and ballistocardiogram: A relationship interpreted via mathematical modeling
    Cited by: 59
    Year: 2019 ❤️
  • Mixed finite volume methods for semiconductor device simulation
    Cited by: 58
    Year: 1997 ⚙️
  • A new Galerkin framework for the drift-diffusion equation in semiconductors
    Cited by: 54
    Year: 1998 ⚡
  • Global weak solutions for an incompressible charged fluid with multi-scale couplings: initial–boundary-value problem
    Cited by: 53
    Year: 2009 🌐
  • Light-induced charge generation in polymeric nanoparticles restores vision in advanced-stage retinitis pigmentosa rats
    Cited by: 46
    Year: 2022 👁️
  • Atomic migration in phase change materials
    Cited by: 45
    Year: 2013 ⚡

 

 

 

 

 

 

 

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.