S M Kamrul Hasan | Computational Science | Best Researcher Award

Prof Dr. S M Kamrul Hasan, Computational Science, Best Researcher Award

PHD at Free University of Bolzano, Italy

S M Kamrul Hasan, born on 15/12/1980 in Bogura, Bangladesh, is a distinguished Bangladeshi professor and researcher in food science. Holding a PhD from the Free University of Bolzano, Italy, his expertise lies in reaction calorimetry and the preservation of fresh-cut fruits. Currently a Professor at Hajee Mohammad Danesh Science and Technology University, Bangladesh, he excels in teaching, research, and leadership roles. With 28 publications and a strong scholarly impact, Hasan is committed to addressing food-related challenges, specializing in areas such as food waste valorization and climate-resilient nutrient-dense foods. His future goals include establishing an advanced research lab to pioneer cutting-edge solutions in food science and technology. Computational Science

Professional Profiles:

Scopus Profile

Orcid Profile

Googlescholar profile

ResearchGate Profile

LinkedIn

Professional Experience

Current Appointment (Since 20/02/2020): Title: Professor Employer: Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh Responsibilities: Teaching at Bachelor, Master, and PhD levels Research in the field of food science and technology.

Education📚

Bachelor’s Degree (2000-2003): BSc in Agricultural Engineering, Bangladesh Agricultural University, Bangladesh Master’s Degrees: MS in Food Technology, Bangladesh Agricultural University, Bangladesh (July 2005 – December 2006) MS in Food Technology, Ghent University, Belgium (September 2009 – August 2011) PhD (2014 – 2016): PhD in Management of Mountain Environment and Agriculture, Free University of Bolzano, Italy Thesis Title: Reaction Calorimetry as A Tool for Studying the Quality of Fresh-Cut Fruits and the Efficacy of Various Preservation Treatments Thesis Supervisor: Prof. Matteo Scampicchio. Computational Science

Teaching in the Last Five Years:

Courses taught include Postharvest Technology, Baking, Confectionary, Beverage Technology, Novel Food Processing Techniques, Food Microbiology and Hygiene, Nutritional Changes during Food Processing, Food Processing and Preservation Laboratory.

Research Interests💻

Food Formulation/Processing, Food Chemistry, Food Microbiology, Food Waste Valorization/Agro-industrial Wastes Valorization Postharvest Technology, Climate-Resilient Nutrient-Dense Foods

Research Focus:

S M Kamrul Hasan’s research primarily focuses on the development and application of advanced edible coatings, specifically nanoemulsions, to preserve the quality of fresh-cut fruits and vegetables. His work explores innovative solutions to enhance storability and bioactive properties of food products, as seen in formulations like yogurt with banana peel extracts. Hasan also delves into the potential of fruit by-products as natural sources of antioxidants and α-glucosidase inhibitors. With a strong emphasis on postharvest quality improvement, his investigations extend to areas such as the effects of edible coatings enriched with black cumin extract on guava fruit. Hasan’s diverse contributions encompass reaction calorimetry studies on food and ascorbic acid’s scavenging properties, demonstrating a comprehensive research focus on food science and technology. Computational Science

Publications (TOP NOTES)

 

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Abdelhafeez Elshekhipy | Computational Methods | Best Researcher Award

Dr. Abdelhafeez Elshekhipy, Computational Methods, Best Researcher Award

PHD at Minia University, Egypt

Assistant Professor Abdelhafeez Ahmed Elshekhipy is an accomplished mathematician specializing in applied mathematics and computational modeling. With a Ph.D. from Minia University, Egypt, his research delves into diverse areas, including nanofluid dynamics, peristaltic transport, and material properties. He has made significant contributions to understanding the impact of temperature-dependent electrical conductivity on radiative and dissipative processes. His work extends to supervising postgraduate theses and teaching undergraduate courses in mathematics. Through a multidisciplinary approach, Elshekhipy’s research reflects a dedication to advancing mathematical understanding and solving complex problems across various scientific domains.

Professional Profiles:

Scopus profile

Orcid Profile

ResearchGate Profile

 

Academic Qualifications:📚

Ph.D. in Mathematics: College of Science, Minia University, Egypt (2013) Thesis Title: “On the stochastic solution process of Navier-Stokes equations using homotopy WHEP technique.” M.Sc. in Mathematics: College of Science, Minia University, Egypt (2009) Thesis Title: “Solutions of partial differential equations related to a rotating disc in a fluid.” B.Sc. in Mathematics: College of Science, Minia University, Egypt (2003)

Professional Experience:🏆

Assistant Professor: Math department, College of Science, Imam Abdulrahman Bin Faisal University, Saudi Arabia (2017-Present) Assistant Professor: Math department, College of Science, Minia University, Egypt (2013-2017) Lecturer: Math department, College of Science, Minia University, Egypt (2009-2013) Demonstrator: Math department, College of Science, Minia University, Egypt (2004-2009)

Scientific Achievements:

Published numerous refereed research articles in reputable journals, showcasing expertise in mathematical modeling, stochastic analysis, and numerical simulations.

Supervision of Postgraduate Theses:

Supervised multiple M.Sc. and Ph.D. theses on topics ranging from numerical simulations for probabilistic transformations to soliton solutions of partial differential equations.

Research Focus:

Assistant Professor Abdelhafeez Ahmed Elshekhipy’s research primarily focuses on mathematical modeling and simulation across diverse fields. His contributions span topics such as peristaltic transport of nanofluids, radiative and dissipative flows, and the impact of various factors on structural, optical, thermal, and electrical properties of materials. He has explored intricate subjects like the Hall current effect on nanofluid peristaltic flow and the combined effects of variable thermal and electrical conductivity. Additionally, his work extends to numerical simulations of fluid dynamics, showcasing a multidisciplinary approach. Overall, his research demonstrates a keen interest in applied mathematics, computational modeling, and their applications in various scientific domains.

Publications (TOP NOTES)

 

 

 

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