Month: February 2024

A numerical model for the evaluation of gerotor torque considering multiple contact points and fluid-structure interactions.

Professional Experience

5+ years of experience in computational fluid dynamics, structural mechanics, and multiphase flow. Author of 5+ peer-reviewed articles focusing on detailed fluid dynamic features and their interaction with solid components. Collaborated with 20+ members of leading OEMs’ research and development teams across 5+ projects.

Education📚

Ph.D. in Mechanical Engineering, Purdue University (Aug 2018 – Present), GPA: 3.91/4. M.S. in Aeronautical and Astronautical Engineering, Purdue University (Aug 2016 – May 2018), GPA: 3.72/4. B.Tech. in Aerospace Engineering, Indian Institute of Technology Kanpur (Aug 2012 – May 2016), GPA: 7.7/10.

Technical Skills:

Programming: C++, MATLAB, Python, C, HTML, FORTRAN. Parallel Programming: OpenMP, MPI. Machine Learning: TensorFlow, PyTorch. Computational Software: ANSYS Workbench, Simcenter Amesim, OpenFOAM, Simerics MP+, Simulink, modeFrontier, STAR-CCM+.

Research Experience:

Graduate Research Assistant, Maha Fluid Power Research Center, Purdue University (Aug 2018 – Present). Developed a multi-physics vane pump simulation model, exceeding sponsor expectations. Formulated a coupled multi-physics model for a Gerotor Unit, reducing design evaluation time by 60%.

Research Focus:

Zubin Mistry’s research primarily focuses on advancing the understanding and simulation of fluid power systems, with a specific emphasis on external gear machines. His work spans multiple facets, including the development of a numerical model for evaluating gerotor torque, considering intricate aspects such as multiple contact points and fluid-structure interactions. Additionally, he has made significant contributions to the field through the exploration of cavitation modeling using a lumped parameter approach and addressing fluid inertia effects in external gear machines. Mistry’s expertise lies at the intersection of computational fluid dynamics and structural mechanics, contributing valuable insights to enhance the efficiency and performance of fluid power systems.

Publications (TOP NOTES)

Cavitation Modeling Using Lumped Parameter Approach Accounting for Bubble Dynamics and Mass Transport Through the Bubble Interface, Cited by 2, Publication date: 2023.

Modeling Fluid Inertia Effects in External Gear Machines Through Lumped Parameter Approach, Cited by 1, Publication date: 2022.

Simulation and Validation of Fluid Inertia Effects in External Gear Machines Using Lumped Parameter Modeling, Publication date: 2023.

Saeed Setayeshi | Medical Radiation Physics | Computational Science Excellence Award

Posted on 26/02/202426/02/2024 by ScienceFather

Prof. Saeed Setayeshi, Medical Radiation Physics, Computational Science Excellence Award

Faculty Member at Amirkabir University of Technology, Tehran, Iran

Saeed Setayeshi received the B.Sc. degree in physics from Iran in 1979, the M.Sc. degree in electronic physics from India, the Ph.D. degree in physics of satellite technology from India in 1982, the M.A. degree in management from Iran in 1986, and the M.A.Sc. and Ph.D. degrees in electrical and computer engineering from Canada in 1993.,He is currently a Faculty Member with the Department of Energy Engineering and Physics, Amirkabir University of Technology, Tehran, Iran. He has more than 375 publications, including books, papers, and technical reports. His research interests and activities include automatic medical imaging systems, artificial intelligence, complex and chaos systems in physics and engineering, biodynamic, social networks, and cognitive sciences.

Professional Profiles:

Orcid profile

Precise gamma based two-phase flow meter using frequency feature extraction and only one detector,

Professional Experience

Dr. Saeed Setayeshi, also known as S. Setayeshi, Saeid Setayeshi, and Saied Setayeshi, is a distinguished academic and researcher in the field of energy engineering and physics. He is currently affiliated with the Department of Energy Engineering and Physics at Amirkabir University of Technology in Tehran, Iran.

Education📚

Dr. Setayeshi earned his B.Sc. degree in physics in 1979 from Iran, followed by an M.Sc. degree in electronic physics from India. He furthered his education by obtaining a Ph.D. degree in physics of satellite technology from India in 1982. Additionally, he holds an M.A. degree in management from Iran in 1986, as well as M.A.Sc. and Ph.D. degrees in electrical and computer engineering from Canada in 1993.

With a rich educational background, Dr. Setayeshi has made significant contributions to the academic community through his extensive research and publications. He has authored over 375 publications, including books, papers, and technical reports. His research interests span a wide range of topics, showcasing his diverse expertise. Some of the key areas he has delved into include automatic medical imaging systems, artificial intelligence, complex and chaos systems in physics and engineering, biodynamics, social networks, and cognitive sciences.

Research Focus:

Dr. Saeed Setayeshi’s research focuses on diverse areas, including hot rolling processes, two-phase flows, gamma-ray attenuation, nuclear reactor temperature control, pseudo-random number generation, adaptive control using neural networks, earthquake prediction using layered neural networks, PWR fuel management optimization, speech emotion recognition, and neutron spectra unfolding in Bonner spheres spectrometry. His work combines finite element methods, neural networks, and advanced control strategies to address challenges in materials processing, energy systems, and environmental monitoring. With a prolific publication record, Dr. Setayeshi has significantly contributed to the fields of materials processing technology, nuclear engineering, and artificial intelligence, showcasing a multidisciplinary approach to research and innovation.

Publications (TOP NOTES)

Deterministic chaos game: a new fractal based pseudo-random number generator and its cryptographic application, Cited by 92, Publication date: 2020.

Cited by 39, Publication date: 2020.

Application of artificial neural networks to predict flow velocity in a 180 sharp bend with and without a spur dike, Cited by 15, Publication date: 2020.

A novel audio watermarking scheme based on fuzzy inference system in DCT domain, cited by 13, Publication date: 2021.

Early diagnosis of skin cancer by ultrasound frequency analysis, cited by 10, Publication date: 2019.

Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features, cited by 9, Publication date: 2021.

High-capacity, transparent and robust audio watermarking based on synergy between DCT transform and LU decomposition using genetic algorithm, cited by 9, Publication date: 2019.

Speech emotion recognition based on brain and mind emotional learning model, cited by 8, Publication date: 2018.

A Numerical Investigation on the Influence of Porosity on the Steady-State and Transient Thermal–Hydraulic Behavior of the PBMR, cited by 9, Publication date: 2016.

Validation of a highly integrated SiPM readout system with a TOF-PET demonstrator, cited by 9, Publication date: 2016.

Kathiresan Purushothaman | Experimental methods | Best Researcher Award

Posted on 24/02/202424/02/2024 by ScienceFather

Dr. Kathiresan Purushothaman, Experimental methods, Best Researcher Award

PHD at Nord University, Norway

Kathiresan Purushothaman, a seasoned marine molecular biologist, holds a Ph.D. in Aquatic Bioscience from Nord University, Norway. With expertise in genomics, proteomics, and feed-related studies, he has contributed significantly to projects at esteemed institutions like James Cook University and the Norwegian University of Life Sciences. Kathiresan’s leadership and project management skills shine through his role as a Research Fellow, where he spearheads groundbreaking genetic research on Red Snapper. His dynamic career spans diverse projects, showcasing a remarkable ability to deliver results through international collaborations. Kathiresan is recognized with awards, grants, and a robust technical proficiency encompassing various biological disciplines.

Professional Profiles:

Professional Experience

James Cook University, Singapore Research Fellow (Jul 2023 – Present, 80%) Conducting research in the laboratory of Prof. Shubha Vij. Leading projects on developing genetic resources for Red Snapper, focusing on genome analysis, SNP identification, and GWAS. Norwegian University of Life Sciences, Norway Post-Doctoral Fellow (Nov 2021 – Jul 2023, 100%; Aug 2023 – Present, 20%) Contributed to the Foods of Norway project with a focus on feed-related studies in zebrafish and Atlantic Salmon. National University of Singapore, Singapore Visiting Scientist (Jun 2022 – Sep 2022, May 2023 – Jul 2023) Collaborated with Prof. Lin Qingsong on proteome studies of Atlantic Salmon and Zebrafish. Nord University, Norway Researcher, Marine Genomics (May 2021 – Nov 2021) Nord University, Norway PhD Student in Aquatic Biosciences (Apr 2017 – May 2021) Successfully defended the thesis on “Innate Control of Early Embryonic Development,” focusing on zebrafish embryos. Engaged in various feed-related studies and projects on the alimentary canal of Atlantic Salmon.

Education📚

PhD in Aquatic Bioscience, Nord University, Norway (Apr 2017 – May 2021) MSc in Molecular Biology, Lund University, Sweden (Oct 2008 – Mar 2012) MSc in Biochemistry, Annamalai University, India (Aug 2001 – Jul 2003)

Technical Proficiency:

Extensive expertise in proteomics, next-generation sequencing, molecular biology, microbiology, fish trials, bioinformatics, metagenomics, biodiversity, fish nutrigenomics, histological techniques, immunology, cell culture, microscopy, statistics, animal handling, fish facility maintenance, lipid profile, clinical laboratories, estimation studies, and molecular and cell biology of Streptomyces species.

Awards:

Winner of Travel Award at the 14th International Zebrafish Conference (Jun 2019). Best oral presentation award at the 24th Annual Lorne Proteomics Symposium (Feb 2019).

Research Focus:

Kathiresan Purushothaman, with a research focus on molecular biology and genomics, has made significant contributions to understanding the Asian seabass genome. His work includes the chromosomal-level assembly of the Asian seabass genome, morpho-histological characterizations of its alimentary canal, and barcoding analysis revealing distinct species. Additionally, he has conducted proteomics and transcriptomics studies on zebrafish embryos, Asian seabass acclimated to different salinities, and the effects of pelleted feeds on Asian seabass. His diverse research spans from genetic variations in individuals and populations to exploring the intestinal mucus proteome of Atlantic salmon to counter inflammation.

Publications (TOP NOTES)

Norway spruce extracts (NSEs) as bioactive compounds in novel feeds: Effect on intestinal immune-related biomarkers, morphometry and microbiota in Atlantic salmon pre-smolts, Publication date: 2023.

Transcriptomic Analysis of Gill and Kidney from Asian Seabass (Lates calcarifer) Acclimated to Different Salinities Reveals Pathways Involved with Euryhalinity, cited by: 22, Publication date: 2020.

A new procedure of deyolking improves the proteome analysis in zebrafish early embryos, Publication date: 2019.

Characterization of yolk-associated proteins in zebrafish early embryos, Publication date: 2019.

Systematic identification of yolk-associated proteins in early embryonic development of zebrafish, Publication date: 2019.

Effect of Cyberlindnera jadinii yeast on growth performance, nutrient digestibility, and gut health of broiler chickens from 1 to 34 d of age, Publication date: 2023.

Cyberlindnera jadinii yeast as a functional protein source: Modulation of immunoregulatory pathways in the intestinal proteome of zebrafish (Danio rerio), Publication date: 2024.

Feed restriction modulates growth, gut morphology and gene expression in zebrafish, Publication date: 2021.

Beyond standard PSE testing: An exploratory study of bioimpedance as a marker for ham defects,Publication date: 2022.

Clues from the intestinal mucus proteome of Atlantic salmon to counter inflammation, Publication date: 2022.

S M Kamrul Hasan | Computational Science | Best Researcher Award

Posted on 22/02/202422/02/2024 by ScienceFather

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:

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)

Biosynthesis and characterization of bacterial nanocellulose and polyhydroxyalkanoate films using bacterial strains isolated from fermented coconut water, cited by: 1, Publication date: 2022

Nanoemulsion as advanced edible coatings to preserve the quality of fresh‐cut fruits and vegetables: a review, cited by: 88, Publication date: 2019

Formulation of yogurt with banana peel extracts to enhance storability and bioactive properties, cited by: 38, Publication date: 2021

Fruit by-products: The potential natural sources of antioxidants and α-glucosidase inhibitors, cited by: 35, Publication date: 2021

Phenolic compounds and antioxidants activity of banana peel extracts: Testing and optimization of enzyme-assisted conditions, cited by: 18, Publication date: 2023

Effect of Alginate Edible Coatings Enriched with Black Cumin Extract for Improving Postharvest Quality Characteristics of Guava (Psidium guajava L.) Fruit, cited by: 16, Publication date: 2022

Jackfruit (Artocarpus heterophyllus) by-products a novel source of pectin: Studies on physicochemical characterization and its application in soup formulation as a thickener, cited by: 7, Publication date: 2023

Proximate composition, minerals, phytochemicals, and functional activities of jujube fruits grown in Bangladesh, cited by: 6, Publication date: 2022

Comparison on drying characteristic, efficiency, unit drying cost and quality of maize dried by a novel multi-crop mobile dryer, existing industrial dryer and sun drying method, cited by: 3, Publication date: 2023

Production and Evaluation of Quality Characteristics of Edible Fish Powder from Tilapia (Oreochromis mossambicus) and Silver Carp (Hypophthalmichthys molitrix), cited by: 2, Publication date: 2022.

Abdelhafeez Elshekhipy | Computational Methods | Best Researcher Award

Posted on 21/02/202422/02/2024 by ScienceFather

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

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)

Temperature-dependent electrical conductivity impact on radiative and dissipative peristaltic transport of boron nitride-ethylene glycol nanofluid through asymmetric channels, Publication date: 2023.

Effect of Al_0.1Ga_0.9As thickness on the structural, optical, thermal, and electrical properties of (Al_0.1 Ga _0.9As)/GaAs heterojunctions, Publication date: 2023.

A numerical modeling and its computational implementing simulation for generating distributions of the complicated random variable transformations with applications, Publication date: 2023.

Radiative and dissipative MHD Eyring–Powell nanofluid bioconvective flow through peristaltic waves in the presence of bilateral chemical reaction with Arrhenius activation energy: Entropy optimization, Publication date: 2023.

Effect of porosity on structural, optical, thermal, and electrical properties of nickel-foam coated graphene sheets,Publication date: 2022.

Annealing effect on the microstructural, optical, electrical, and thermal properties of Cu₂O/TiO₂/Cu₂O/TiO₂/Si heterojunction prepared by sol-gel technique, Publication date: 2022.

Niche partitioning among the Mesozoic echinoderms: biotic vs abiotic traits, Publication date: 2020.

Combined effects of variable thermal conductivity and electrical conductivity on peristaltic flow of pseudoplastic nanofluid in an inclined nonuniform asymmetric channel: Applications to solar collectors, Publication date: 2020.

Numerical simulation of the motion of a micropolar casson fluid through a porous medium over a stretching surface, Publication date: 2019.

Kader Dağcı Kıranşan | High energy physics | Best Researcher Award

Posted on 21/02/202421/02/2024 by ScienceFather

Assoc Prof Dr. Kader Dağcı Kıranşan, High energy physics, Best Researcher Award

PHD at Atatürk University, Turkey

Associate Professor Kader Dağcı Kiranşan is an accomplished academic with expertise in Analytical Chemistry. Holding a Ph.D. and M.Sc. from Atatürk University, he specializes in topics such as thin films, graphene, and electrochemical synthesis. Currently an Associate Professor at Atatürk University’s Faculty of Science, he has also served as a Doctor Lecturer and Research Assistant. Throughout his career, he has supervised impactful theses, focusing on areas like sustainable water purification and hydrogen production. His research contributions, especially in flexible electrodes and nanomaterial applications, showcase his commitment to advancing analytical chemistry and its practical applications. High energy physics

Professional Profiles:

Education📚

Ph.D. in Analytical Chemistry: Awarded on 12/June/2015 from Atatürk University/Institute of Science and Science. Thesis title: “Poly(Pyronin Y) thin films and freestanding graphene/poly(pyronin y)/silver nanoparticle Preparation and characterization of electrodes and their use in amperometric determination of nitrite.” Thesis Advisor: Murat Alanyalıoğlu. M.Sc. in Analytical Chemistry: Degree awarded on 4/June/2010 from Atatürk University/Institute of Science and Science. Thesis title: “Electrochemical synthesis of methylene blue ordered monolayer structures and characterization.” Thesis Advisor: Murat Alanyalıoğlu.

Academic Positions:🏆

Associate Professor: Currently holding the position at Atatürk University/Faculty of Science/Department of Chemistry since 2020. Doctor Lecturer: Currently holds a position at Atatürk University/Faculty of Science/Department of Chemistry/Analytical Chemistry since 2019. Research Assistant: Worked as a research assistant at Atatürk University/Faculty of Science/Department of Chemistry/Analytical Chemistry from 2009 to 2019.

Research Focus:

Associate Professor Kader Dağcı Kiranşan’s research primarily focuses on the development and application of advanced materials for electrochemical sensing and energy storage. His expertise spans the preparation of innovative electrode materials, such as free-standing and flexible graphene/Ag nanoparticles/poly (pyronin Y) hybrid paper, and MoS2/rGO composite paper. Additionally, his work explores the electrochemical properties of polymeric films, including catalase-Fe3O4/reduced graphene oxide paper. He has made significant contributions to the field, particularly in the design of flexible electrodes for amperometric detection of various analytes, such as nitrite, NADH, folic acid, and hydrogen peroxide. His research demonstrates a commitment to advancing electroanalytical chemistry and materials science for diverse applications. High energy physics

Publications (TOP NOTES)

Design of metal phosphite decorated sponge materials for high‐performance flexible battery‐type supercapacitors, cited by: 1, Publication date: 2022.

Design and synthesis of a MnCo-MOF modified flexible 3D graphene sponge electrode for an asymmetric supercapacitor with high power and energy density, cited by: 1, Publication date: 2023.

Three-dimensional FeNiP decorated graphene sponge: A novel flexible electrode for high-performance asymmetric supercapacitor, cited by: 2, Publication date: 2023.

A novel polyphenol oxidase immobilized polyglycine/reduced graphene oxide composite electrode for sensitive determination of catechol, cited by: 3, Publication date: 2023.

The Construction and Testing of an Amperometric Biosensor for Oxidized Glutathione with Glutathione Reductase Immobilized on Reduced Graphene Oxide Paper Modified with Cobalt, cited by: 4, Publication date: 2020.

Flexible supercapacitor electrodes based on modified binary metal phosphites on three dimensional graphene sponge, cited by: 4, Publication date: 2023.

A Flexible Graphene Paper Electrochemical Sensor With Electrodeposited Ag and Ni Nanoparticles for H₂O₂ Detection, cited by: 5, Publication date: 2023.

Conducting polymer-reduced graphene oxide sponge electrode for electrochemical detection based on DNA hybridization, cited by: 6, Publication date: 2020.

P-nitrofenol’ün elektrokimyasal yöntemle belirlenmesi için esnek ve müstakil PtCu ile modifiye edilmiş grafen esaslı kağıt, Publication date: 2021.

Preparation and characterization of flexible and free-standing CuS/rGO composite paper, Publication date: 2020.

Abraham Dimitri Kapim kenfack | photovoltaic energy | Best Researcher Award

Posted on 20/02/202421/02/2024 by ScienceFather

Dr. Abraham Dimitri Kapim kenfack, photovoltaic energy, Innovation in Computational Science Award

Research fellows at Tshwane University of Technology, South Africa

Kapim Kenfack Abraham Dimitri, a Cameroonian physicist and educator, born on May 11, 1988, holds a Ph.D. in Physics. Currently a research fellow at Tshwane University of Technology, he specializes in the impact of magnetic fields on PV modules. With a robust academic background, he supervises students at various levels and actively contributes to research in physics and solar energy. His commitment is evident through conference presentations, journal reviews, and the application of Machine Learning in solar cell projects. Dedicated to education, Dimitri combines expertise in physics with a passion for mentoring the next generation of researchers. photovoltaic energy

Professional Profiles: