Month: January 2024

Education:

Ph.D. in Primary Education, Mathematics Education, 2007-2012, Karadeniz Technical University, Trabzon, Turkey, Supervisor: Professor Dr. Bülent GÜVEN M.Sc. in Mathematics, 2002-2005, Pamukkale University, Denizli, Turkey, Supervisor: Professor Dr. Murat Sarı B.Sc. in Mathematics Education Programme, 1993-1997, Karadeniz Technical University, Faculty of Education, Department of Secondary Science and Mathematics Education, Mathematics Education Program, Trabzon, Turkey.

Academic Experiences:

Assoc. Professor at Zonguldak Bülent Ecevit University since 2017 Assistant Professor at Bülent Ecevit University, 2013-2017 Mathematics Teacher at the Ministry of Education, 1998-2013.

Relevant Research Fields:

Mathematics Education Probability and Statistics Education Using Technology in Teaching Mathematics and Geometry

Managed Master’s Theses:

Development of an Attitude Scale for Distance Mathematics Education, Ezgi Ekdi (2023). The Effect of Educational Games on Academic Achievement In Mathematics Teaching: A Meta-Analysis Study, Büşra Mert (2022). Examination of Mathematics Teacher Candidates’ Process of Preparing and Implementing the Online Lesson Plan, Elif Çetin (2022). Investigation of the Effect of Using the Conceptual Change Text In the Teaching of Rational Numbers on the Success and Attitudes of Students, Duygu Duran (2021). Examination of the Teaching Practice Process from the Perspective of The Candidates Practice Teacher and Faculty, Saliha Uzun (2021).

Research Focus:

Dr. Timur Koparan’s research primarily focuses on Mathematics Education and the integration of technology to enhance learning experiences. His work spans various areas, including the effectiveness of augmented reality in Mathematics teaching, probabilistic thinking using simulation tools, and the impact of game and simulation-based learning environments on the achievement and attitudes of prospective teachers. Additionally, he explores the use of digital game-based learning in higher education and evaluates the entrepreneurial tendencies of teacher candidates. Dr. Koparan also delves into the assessment of expectations and processes in teacher training, addressing conceptual misunderstandings in subjects like rational numbers. His diverse research contributes significantly to advancing pedagogical practices in Mathematics Education.

Peer Reviewer & Academic Engagements:

Dr. Timur Koparan’s, citation metrics and indices from Google Scholar are as follows:

Citations: 816 (All), 653 (Since 2019)
h-index: 16 (All), 13 (Since 2019)
i10-index: 27 (All), 22 (Since 2019)

Publications (TOP NOTES)

Integrating Augmented Reality into Mathematics Teaching and Learning and Examining Its Effectiveness. publication date: 2023.

Probabilistic thinking in prospective teachers from the use of TinkerPlots for simulation: Hat problem. publication date: 2022.

How Does Simulation Contribute to Prospective Mathematics Teachers’ Learning Experiences and Results?, publication date: 2022.

The Impact of a Game and Simulation Based Probability Learning Environment on the Achievement and Attitudes of Prospective Teachers, publication date: 2020.
.

Effect of Boundary Conditions on Wave Modelling through Finite Difference Method. publication date: 2022.

Yükseköğretimde Dijital Oyun Tabanlı Öğrenme Ortamının İncelenmesi. publication date: 2021.

Öğretmen Adaylarının Girişimcilik Becerilerine Yönelik Eğilimlerinin İncelenmesi. publication date: 2021.

Öğretmenlik Uygulaması Dersine Yönelik Beklentilerin ve Sürecin Değerlendirilmesi. publication date: 2021.

Arduino ile Programlamanın Öğrencilerin Fen Bilimlerine Yönelik Başarı, Öz Yeterlilik ve Tutumlarına Etkisi. publication date: 2021.

Rasyonel Sayılar Konusu ile İlgili Kavram Yanılgılarının Giderilmesinde Kavramsal Değişim Yaklaşımının Etkisinin
İncelenmesi. publication date: 2021.

Neethu Michael | Power Systems | Best Researcher Award

Posted on 06/01/202406/01/2024 by ScienceFather

Dr. Neethu Michael | Power Systems | Best Researcher Award

PHD at Birla Institute of Technology & Science, Pilani.

Dr. Neethu Elizabeth Michael is a dynamic Electrical Engineer holding a Ph.D. from Birla Institute of Technology & Science, Pilani. With 4.5 years of industry experience and a prolific research background, she excels in power system modeling and deep learning algorithms. Driven by a growth-oriented mindset, she contributed to 7 peer-reviewed journals and 2 conference papers. As an Adjunct Faculty at Amity University, Dubai, she imparts her knowledge in Electrical and Electronics Engineering, emphasizing teaching innovation. Her diverse experience includes project management, estimation, and execution in the UAE, showcasing her versatility and leadership in the field.

Professional Profiles:

Education:

Ph.D. in Electrical Engineering, Birla Institute of Technology & Science, Pilani. M.Tech in Power Systems, Government Engineering College, Thrissur. B.Tech in Electrical and Electronics Engineering, Mahatma Gandhi University College of Engineering.

Certifications and Achievements:

Certified in Time Series Analysis and Forecasting with Python. Recognized as a Junior Solar PV Expert by Dubai Electricity and Water Authority (DEWA). Grace Hopper Celebration 2021 Scholar and Qualified Electrical Engineer for Dubai Municipality.

Professional Highlights:

Expertise in MATLAB/Simulink and PSS/E for Model-based development of Energy Storage Systems (ESS). Specialization in grid forming and grid following inverters, coupled with experience in Deep Learning algorithms for electrical parameter forecasting. Currently serving as an Adjunct Faculty at Amity University, Dubai, engaging in teaching, curriculum revision, and collaborative research.

Research Contributions:

As a Ph.D. Scholar, Dr. Michael delved into optimizing Renewable Energy Sources in Microgrid Systems, utilizing deep learning architectures for electricity parameter forecasting.

Published in Q1/Q2 Journals, she designed Energy Management Systems for frequency regulation, promoting high renewable energy penetration.

Research Focus:

Neethu Michael, through her impactful contributions to genomics and neuroscience, has significantly advanced our understanding of Alzheimer’s disease and visual processing in avian species. Her integrative genomics approach unveiled conserved transcriptomic networks in Alzheimer’s, offering potential therapeutic insights. Additionally, her work on visual field representations and retinotopic features in zebra finches has elucidated the intricacies of visual processing in avian brains. Pioneering the use of flavoprotein autofluorescence imaging, Neethu’s research provides valuable insights into the functional architecture of the zebra finch visual system. Her multidisciplinary expertise bridges genomics and neuroscience, contributing to both medical and biological sciences.

Peer Reviewer & Academic Engagements:

Dr. Neethu Elizabeth Michael, citation metrics and indices from Google Scholar are as follows:

Citations: 116 (All), 97 (Since 2019)
h-index: 5 (All), 4 (Since 2019)
i10-index: 5 (All), 4 (Since 2019)

Publications (TOP NOTES)

Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease, publication date: 2020.

Effects of dabigatran in mouse models of aging and cerebral amyloid angiopathy, publication date: 2019.

Multiple Visual Field Representations in the Visual Wulst of a Laterally Eyed Bird, the Zebra Finch, publication date: 2016.

Features of the Retinotopic Representation in the Visual Wulst of a Laterally Eyed Bird, the Zebra, publication date: 2015.

Flavoprotein autofluorescence imaging of visual system activity in zebra finches and mice, publication date: 2014.

maging the Functional Architecture of the Zebra Finch Visual Wulst: $ hsubmitted by Neethu Michael; 1st Reviewer, Advisor, Member of the Commitee Prof. Dr. Siegrid Löwel; 2nd, publication date: 2015.

EL MUSTAPHA FEDDI | Semiconductors | Best Researcher Award

Posted on 06/01/202406/01/2024 by ScienceFather

Prof. EL Mustapha Feddi | Semiconductors | Best Researcher Award

Professor at mohammed V university of Rabat, Morocco

Renowned physicist Prof. El Mustapha Feddi, based at ENSAM, Mohammed V University, Rabat, boasts a stellar academic journey with a Doctorat d’état in Physics of Semiconductors. His research prowess spans optoelectronic properties of semiconductor quantum dots, influencing diverse applications from solar cells to quantum computing. As a seasoned educator, he’s held key positions, including Head of Physics Department and Deputy Director for Scientific Research. With an H-index of 25 and numerous international collaborations, Prof. Feddi is recognized for his impactful contributions, evident in over 1900 citations and leadership in scientific journals. An expert bridging academia and global research, he continues to shape the future of physics.

Professional Profiles:

ResearchGate Profile

Current Position:

Professor affiliated with the Mohammed VI Polytechnic University in Ben Guérir since 2022.

Academic Achievements:

Doctorat d’état in Physics of Semiconductors, 1997, Faculté des sciences de Tétouan. Diplôme d’études supérieures in Physics of Semiconductors from the University of Metz, France (1987). Holds an H-index of 25, i10-index of 67, and has accumulated 1903 citations.

Teaching and Leadership Roles:

Held professorial positions at various institutions, including ENS de Tétouan and ENSET in Mohammadia and Rabat. Served as the Head of the Physics Department (1997-2005) and as Deputy Director for Scientific Research at ENSET Rabat (2013-2015). Currently, the Head of the Preparatory Classes at ENSAM Rabat.

Research Projects

Led a research project with the Institute of Materials Science at the University of Valencia on InAs quantum dots. Active member of the PHC Maghreb project with the University of Marseille, focusing on improving silicon quantum dot-based solar cells.

Expertise and Recognition:

Membership in the editorial board of “Optical and Quantum Electronics” (Springer). Expert evaluator for international scientific journals and CNRST (National Center for Scientific and Technical Research) from 2020 to 2023.

Research Focus:

Specializes in theoretical studies of optoelectronic properties of semiconductor quantum dots. Areas of interest include applications in solar cells, renewable energy, medical imaging, optoelectronic devices, HEMT transistors, quantum computing, and more. Expertise in the optical properties of nanostructures influenced by electric and magnetic fields. Active in ab-initio calculations in chalcopyrites, kësterites, and 2D materials.

Prof. El Mustapha Feddi’s prolific research encompasses a diverse range of topics in condensed matter physics and materials science. With a focus on semiconductor quantum dots, his work delves into the electronic and optical properties of materials like kesterite, Cu2CoGeS4, and Cu2ZnSn(S,Se)4, as evidenced by his groundbreaking studies published in reputable journals. Proficient in first principles studies using Density Functional Theory (DFT) and SCAPS-1D analysis, he explores applications in solar cells, quantum wells, and biomedical technology. His keen interest in nanotechnology, magnetism, and optoelectronic phenomena positions him as a leading authority in the field.

Peer Reviewer & Academic Engagements:

Prof. El Mustapha Feddi, citation metrics and indices from Google Scholar are as follows:

Citations: 1910 (All), 1383 (Since 2019)
h-index: 25 (All), 20 (Since 2019)
i10-index: 67 (All), 55 (Since 2019)

Publications (TOP NOTES)

Modeling of highly efficient CNGS based kesterite solar cell: A DFT study along with SCAPS-1D analysis, publication date: 2023.

First principles study on electronic and optical properties of Cu2CoGeS4 for photovoltaic conversion and photocatalytic applications, publication date: 2023.

Analytical Modeling and Optimization of Cu2ZnSn(S,Se)4 Solar Cells with the Use of Quantum Wells under the Radiative Limit, publication date: 2023.

Applications of Hybrid Metal Nanoparticle-Quantum Dot in Biomedical Applications, publication date: 2023.

Intense Laser Field Effect on the Photo-Ionization CrossSection of the First Exciton Transition in a Core/Shell
Quantum Dot Submitted to an Applied Electric Field, publication date: 2023.

Optical Gain of a Spherical InAs Quantum Dot under the Effects of the Intense Laser and Magnetic Fields, publication date: 2023.

Influence of Hole-Phonon Coupling on Thermodynamic and Magnetic Properties of Diluted Semiconductor: Ga1-xMnxAs in Quantum Dots. publication date: 2023.

Tuning the Electronic Properties of Janus GeSnS2 Monolayers through Strain and Electric Field, publication date: 2023.

Optoelectronic Properties of a Cylindrical Core/Shell Nanowire: Effect of Quantum Confinement and Magnetic Field, publication date: 2023.

José Parra | Computational chemistry | Best Research Article Award

Posted on 05/01/202405/01/2024 by ScienceFather

Dr. José Parra | Computational chemistry | Best Research Article Award

Professor at the University of Carabobo, Venezuela

Renowned computational chemist and Full Titular Professor at the University of Carabobo, Dr. Parra holds a Ph.D. in Chemistry (Physical Chemistry). His research, spanning molecular dynamics and mesoscopic simulations, focuses on interfacial properties of surfactants in diverse systems. Adept in abinitio and DFT methods, he delves into chemical kinetics and solubility predictions. With administrative roles and impactful projects, including gas adsorption and microemulsion formulation studies, Dr. Parra shapes the landscape of Computational Chemistry. Passionate about education, he actively contributes to the academic and research realms, making notable strides in polymers, surface phenomena, and colloidal chemistry.

Professional Profiles:

ResearchGate Profile

Education:

Ph.D. in Chemistry (Physical Chemistry) – Central University of Venezuela, June 2017 Graduate in Chemistry – University of Carabobo, December 2002 Bachelor in Sciences – Alfredo Pietri High School, October 1997

Professional Experience:

Full Titular Professor, University of Carabobo, June 2022-Dec 2023 Visiting Researcher, NC State University, Mar 2022-Mar 2023 Research Associate Professor, University of Carabobo, June 2017-Dec 2020

Research area & Specialization:

Computational Chemistry, Polymers, Surface Phenomena, Colloidal Chemistry

Research Projects:

Gas Adsorption by Computer Simulations Physicochemical Variables in Microemulsion Formulation Stability of Ionic Surfactant Foams

Research Focus:

Dr. Parra’s groundbreaking research converges on Computational Chemistry, delving into molecular dynamics and simulations. His work spans diverse realms, including the molecular design of SiO2 nanoparticles coated with stearic acid, asphaltene molecular models, and the effectiveness of ionic liquids as corrosion inhibitors. Pioneering studies explore interfacial activity of surfactants, CO2-in-water foams, and the behavior of surfactant mixtures at various interfaces. Dr. Parra’s impactful contributions to Colloids and Surfaces, Journal of Molecular Liquids, and Computational and Theoretical Chemistry showcase his multifaceted expertise in unraveling molecular intricacies.

Peer Reviewer & Academic Engagements:

Dr. José Parra, citation metrics and indices from Google Scholar are as follows:

Citations: 168 (All), 132 (Since 2019)
h-index: 6 (All), 6 (Since 2019)
i10-index: 5 (All), 5 (Since 2019)

Publications (TOP NOTES)

A Computational Chemistry Approach to the Molecular Design of SiO2 Nanoparticles Coated with
Stearic Acid and Sodium Stearate in Ethanol Solvent, publication date: 2023.

Evaluation of the affinity of asphaltene molecular models A1 and A2 by the
water/oil interfaces based on a novel concept of solubility parameter profiles obtained
from MD simulations. publication date: 2023.

Experimental and Theoretical Study on the Effectiveness of Ionic Liquids as Corrosion Inhibitors. Computational and Theoretical Chemistry, publication date: 2022.

Effect of Triton X-100 surfactant on the interfacial activity of ionic surfactants SDS, CTAB and SDBS at the air/water interface: A study using molecular dynamic simulations. publication date: 2020.

Exploring the nature of the interactions between the molecules of the sodium dodecyl sulfate and water in crystal phases and in the water/vacuum interface. publication date: 2020.

Structural and interfacial properties of the CO2-in-water foams prepared with sodium dodecyl sulfate (SDS): A molecular dynamics simulation study. publication date: 2019.

Behavior of the SDS/1-butanol and SDS/2-butanol mixtures at the water/n-octane interface through Molecular Dynamics Simulations. publication date: 2019.

Computational study of onestep polar Diels-Alder reactions using the NEB method for the minimum energy
paths search. publication date: 2017

Exploring the Effect of the O-(1-heptylnonyl) Benzene Sulfonate Surfactant on the Nature of the Lineal Hydrocarbons/Water Interface by Means of an Atomistic Molecular Dynamic Simulation. publication date: 2017.

Exploring the structure-solubility relationship of asphaltene models in toluene, heptane, y amphiphiles using a molecular dynamic atomistic methodology. publication date: 2011.

Upendra K Singh | Deep Machine Learning | Best Researcher Award 8068

Posted on 05/01/202405/01/2024 by ScienceFather

Prof. Upendra K Singh | Deep Machine Learning | Best Researcher Award

Professor at the Department of Applied Geophysics, IIT(ISM), Dhanbad, India

Prof. Upendra K. Singh, a distinguished geophysicist at IIT(ISM) Dhanbad, specializes in cutting-edge geophysical optimization and inversion techniques. With a Ph.D. focused on DC resistivity data using Neural Networks, his research spans seismic parameter estimation, innovative global optimization, and joint inversion methodologies. Presented at international conferences, his work leverages metaheuristic algorithms like Particle Swarm Optimization and Gibb’s Sampler. Prof. Singh’s multifaceted expertise covers sensitivity analysis, uncertainty assessment, and the application of advanced techniques in geophysical exploration. A prominent figure in the field, he continues to contribute significantly to the evolving landscape of geophysics.

Professional Profiles:

Education & Position:

Prof. Upendra K. Singh, a Geophysics expert, currently serves as a Professor at the Department of Applied Geophysics, IIT(ISM), Dhanbad, India. His journey began as a Junior Research Fellow, progressing to Scientist ‘B’ at the National Centre for Antarctic & Ocean Research.

Awards & Recognitions:

Acknowledged for his outstanding contributions, Prof. Singh participated in the 24th Indian Antarctic Expedition and received the Van Weelden Award for a research paper in Geophysical Prospecting.

Academic & Professional Journey:

From a Senior Lecturer at Kurukshetra University to his current role as a Professor at IIT(ISM), Dhanbad, Prof. Singh has enriched his academic and professional profile. His expertise spans exploration geophysics, marine geophysics, and legal continental shelf delineation.

Research Work & Technical Reports:

Prof. Singh’s research involves developing and applying Neural Networks for the analysis and interpretation of DC resistivity data. He has contributed to diverse projects, such as deep resistivity sounding studies, integrated geophysical studies, and legal continental shelf projects.

Research Focus:

His research centers on geophysical exploration methods, specializing in gravity, magnetic, electrical, and electromagnetic techniques. Prof. Singh is also involved in global optimization studies.

Prof. Upendra K. Singh’s research revolves around innovative approaches in geophysical optimization and inversion techniques. His work, presented at various international conferences, delves into cutting-edge methods such as Time Varying Inertia Weight-Particle Swarm Optimization, Two-Dimensional inversion, and Joint Inversion of MT and DC Resistivity. With a strong emphasis on metaheuristic algorithms like Gibb’s Sampler and Particle Swarm Optimization, Prof. Singh’s expertise lies in resolving seismic and resistivity data. His contributions span diverse areas, from seismic parameter estimation to uncertainty analysis and sensitivity assessment, showcasing a multifaceted research focus in the field of geophysics.

Marine Geophysics:

With extensive experience in marine data acquisition, processing, and analysis, Prof. Singh has actively contributed to delineating the legal continental shelf around the East Coast, Andaman-Nicobar, and West Coast.

Professional Associations:

A dedicated member of professional organizations like IEEE, Prof. Singh continues to leave a lasting impact on the field of geophysics through his research, teaching, and international collaborations.

Peer Reviewer & Academic Engagements:

Prof. Upendra K. Singh’s, citation metrics and indices from Google Scholar are as follows:

Citations: 1909 (All), 1382 (Since 2019)
h-index: 25 (All), 20 (Since 2019)
i10-index: 67 (All), 55 (Since 2019)

Publications (TOP NOTES)

Enhancing subsurface contamination assessment via ensemble prediction of ground electrical property: A Colorado AMD-impacted wetland case study, publication date: 2024.

Assessment of Reservoir Heterogeneities and Hydrocarbon Potential Zones Using Wavelet-Based Fractal and Multifractal Analysis of Geophysical Logs of Cambay Basin, India, publication date: 2023.

Analysis of recent airborne gravity and magnetic data for the interpretation of basement structures underneath the south–western Benue trough using source edge detector filters, publication date: 2023.

The joint application of metaheuristic algorithm and Bayesian Statistics approach for uncertainty and stability assessment of nonlinear Magnetotelluric data, publication date: 2023.

Nature inspired stochastic hybrid technique for Joint and Individual inversion of DC and MT data, publication date: 2023.

Inversion, Assessment of Stability and Uncertainty of Geoelectric Sounding data using a New Hybrid Meta-heuristic algorithm and Posterior Probability Density Function Approach, publication date: 2022.

Ground Penetrating Radar in Coastal Hazard Mitigation Studies Using Deep Convolutional Neural Networks, publication date: 2022.

Zhuo Shen | Street-crossing | Best Researcher Award

Posted on 04/01/202404/01/2024 by ScienceFather

Mr. Zhuo Shen | Street-crossing | Best Researcher Award

Student in Traffic Psychology at Liaoning Normal University, China

Shen Zhuo (Jason) is a third-year graduate student in Traffic Psychology at Liaoning Normal University. With a Bachelor’s degree in Traffic Mechanical Engineering from Chang’an University, he brings a unique perspective to his research. Jason employs multilevel models to investigate developmental differences in children’s street-crossing decisions and explores the impact of executive function on driving performance in both young and elderly drivers. His work also delves into the interactive effects of sensation-seeking and experience on danger perception in railway drivers. With a Master’s degree in Applied Psychology, Jason is dedicated to advancing our understanding of human behavior in transportation contexts.

Professional Profiles:

Education:

Bachelor’s Degree: Traffic Mechanical Engineering from Chang’an University. Professional Experience: Worked as an engineer specializing in acoustic product structure and reliability at Luxshare Precision. Master’s Degree: Applied Psychology from Liaoning Normal University.

Research Focus:

This researcher focuses on the critical area of children’s street-crossing safety, employing a multidisciplinary approach that combines developmental psychology and traffic safety. The primary research investigates developmental differences in children’s adaptation to vehicle distance and speed in street-crossing decision-making. Additionally, the researcher develops and validates a video-based assessment tool to evaluate children’s crossing safety, shedding light on developmental characteristics of children’s crossing abilities. The findings underscore the importance of considering age-related factors in designing preventive measures to enhance street-crossing safety for children. Overall, this research contributes significantly to the field of developmental psychology and traffic safety, emphasizing the urgent need for comprehensive assessments and targeted interventions for child pedestrians.

Publications (TOP NOTES)

Developmental differences in children’s adaptation to vehicle distance and speed in street-crossing decision-making, publication date: 11 December 2023.

Development and validation of a video-based assessment tool for children’s street-crossing safety, publication date: November 2023.

Muhammed M. Atakan | Sports Sciences | Best Researcher Award

Posted on 03/01/2024 by ScienceFather

Dr. Hammad Alnuman | Power Systems | Best Researcher Award

PHD at the University of Sheffield, UK

Dr. Hammad Alnuman is an Assistant Professor at Jouf University, Saudi Arabia. He earned his B.Eng in Electrical Power Systems from Jouf University in 2012, followed by an M.Sc in Electrical and Computer Engineering from Southern Illinois University, USA, in 2014. He completed his Ph.D in Electronic and Electrical Engineering with a focus on Electric Railways from the University of Sheffield, UK, in 2021. Dr. Alnuman’s research interests encompass train simulation, energy efficiency in railway operation, power system stability, microgrid control, and power quality optimization.

Professional Profiles:

Education:

Bachelor: Electrical Engineering—Electrical Power, Jouf University, KSA, 2012 Master’s: Electrical and Computer Engineering, Southern Illinois University, USA, 2014 Ph.D: Electronic and Electrical Engineering—Electric Railways, University of Sheffield, UK, 2021

Experience:

Teaching Assistant, Jouf University, 2012 Lecturer, Jouf University, 2014–2016 Ph.D. Researcher, University of Sheffield, 2016–2021 Assistant Professor, Jouf University, 2021–Present Various leadership roles in academic and research committees

Skills

Matlab Programming NI LabVIEW Programming C++ Language Programming PLC Programming Traction Power Supply Systems Simulation Data Analysis Event Organization Public Speaking

Current Roles

Vice Dean of Students Affairs Deanship, Jouf University Editorial Board Member, American Journal of EPES Active member in quality assurance and accreditation committees Head of Alumni Unit and Programs Accreditation Unit Dr. Hammad Alnuman’s comprehensive academic background, research contributions, and diverse roles at Jouf University showcase his commitment to advancing knowledge and promoting academic excellence.

Research Focus:

Dr. Hammad Alnuman’s research focus encompasses diverse areas within electrical engineering, showcasing a versatile expertise. His contributions range from the electrical modeling of DC railway systems and metro systems, improving load frequency control in interconnected power systems, to the techno-economic evaluation of integrating photovoltaic-based distributed generation with DSTATCOM functionality. Dr. Alnuman has also delved into energy management of stationary storage systems in DC electric railways, employing fuzzy logic control. Additionally, his work includes the application of modified optimization algorithms for power sharing in solar PV-based microgrids. This broad spectrum of research reflects Dr. Alnuman’s proficiency in addressing challenges across various domains within electrical engineering.

Peer Reviewer & Academic Engagements:

Dr. Hammad Alnuman, citation metrics and indices from Google Scholar are as follows:

Citations: 119 (All), 114 (Since 2019)
h-index: 5 (All), 5 (Since 2019)
i10-index: 2 (All), 2 (Since 2019)

Publications (TOP NOTES)

Improving load frequency control performance in interconnected power systems with a new optimal high degree of freedom cascaded FOTPID-TIDF controller, cited by 13, publication date: 2023/10/1.

Techno-Economic Evaluation of Optimal Integration of PV Based DG with DSTATCOM Functionality with Solar Irradiance and Loading Variations, cited by 7, publication date:2022/7/21.

Electrical modelling of a metro system, cited by 6, publication date: 2022/12/1.

Enhancing energy management of a stationary energy storage system in a DC electric railway using fuzzy logic control, cited by 6, publication date: 2022/11/1.

A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based AC Microgrid, cited by 4, publication date: 2022/12/28.

Modified Frequency Regulator Based on TI^λ-TD^μFF Controller for Interconnected Microgrids with Incorporating Hybrid Renewable Energy Sources, cited by 4, publication date: 2022/12/21.

Small Signal Stability Analysis of a Microgrid in Grid-Connected Mode, cited by 4, publication date: 2022/7/31.

Modified manta ray foraging optimization algorithm based improved load frequency controller for interconnected microgrids, cited by 3, publication date: 2022/12.

Adaptive Control Method to Manage SOC for Energy Storage in DC Electric Railways, cited by 3, publication date: 2019/10/14.

A Single-Source Switched-Capacitor 13-Level high gain Inverter with lower Switch Stress, cited by 2, publication date: 2023/4/10.

Hammad Alnuman | Power Systems | Best Researcher Award

Posted on 03/01/202403/01/2024 by ScienceFather

Dr. Hammad Alnuman | Power Systems | Best Researcher Award

PHD at the University of Sheffield, UK

Professional Profiles:

Education:

Experience:

Skills

Matlab Programming NI LabVIEW Programming C++ Language Programming PLC Programming Traction Power Supply Systems Simulation Data Analysis Event Organization Public Speaking

Current Roles

Research Focus:

Peer Reviewer & Academic Engagements:

Dr. Hammad Alnuman, citation metrics and indices from Google Scholar are as follows:

Citations: 119 (All), 114 (Since 2019)
h-index: 5 (All), 5 (Since 2019)
i10-index: 2 (All), 2 (Since 2019)

Publications (TOP NOTES)

Improving load frequency control performance in interconnected power systems with a new optimal high degree of freedom cascaded FOTPID-TIDF controller, cited by 13, publication date: 2023/10/1.

Techno-Economic Evaluation of Optimal Integration of PV Based DG with DSTATCOM Functionality with Solar Irradiance and Loading Variations, cited by 7, publication date:2022/7/21.

Electrical modelling of a metro system, cited by 6, publication date: 2022/12/1.

Enhancing energy management of a stationary energy storage system in a DC electric railway using fuzzy logic control, cited by 6, publication date: 2022/11/1.

A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based AC Microgrid, cited by 4, publication date: 2022/12/28.

Modified Frequency Regulator Based on TI^λ-TD^μFF Controller for Interconnected Microgrids with Incorporating Hybrid Renewable Energy Sources, cited by 4, publication date: 2022/12/21.

Small Signal Stability Analysis of a Microgrid in Grid-Connected Mode, cited by 4, publication date: 2022/7/31.

Modified manta ray foraging optimization algorithm based improved load frequency controller for interconnected microgrids, cited by 3, publication date: 2022/12.

Adaptive Control Method to Manage SOC for Energy Storage in DC Electric Railways, cited by 3, publication date: 2019/10/14.

A Single-Source Switched-Capacitor 13-Level high gain Inverter with lower Switch Stress, cited by 2, publication date: 2023/4/10.

Kanchana Chinnaswamy | Fluid mechanics | Best Researcher Award

Posted on 03/01/202403/01/2024 by ScienceFather

Dr. Kanchana Chinnaswamy | Fluid mechanics | Best Researcher Award

PHD at Bangalore University, India

Dr. Kanchana C., a distinguished Research Expert at Instituto de Alta Investigación, Universidad de Tarapacá, Chile, is a dynamic mathematician specializing in fluid dynamics. Born on July 10, 1989, in India, Dr. Kanchana has made remarkable contributions with 38 published papers, earning a Google citation index of 492 and an h-index of 14. Recognized for expertise in chaotic hydrodynamics, she holds a Ph.D. from Bangalore University. Her extensive collaborations span across India, China, Japan, and Malaysia. Dr. Kanchana has received numerous accolades, including the “Young Scientist Award” and the prestigious Rajiv Gandhi National Fellowship. Passionate about education, she has lectured in workshops globally and delivered talks at prestigious conferences and universities.

Professional Profiles:

Education:

Doctor of Philosophy: Bangalore University, Bangalore, India (Oct 2013 – May 2017) Title: Unconstrained and constrained convection of nanofluids in a rectangular enclosure Supervisor: Professor Pradeep G. Siddheshwar F.I.M.A. (U.K.), F.N.A.Sc. Master of Science: Bangalore University, Central College Campus, Bangalore, India (2010–2012) University first rank (91.9%), Recipient of six gold medals Bachelor of Science: Government Science College, Bangalore, India (2007–2010) First class (78.9 %)

Experience:

Research Expert (Current): Universidad de Tarapacá, Chile (July 2020 onwards) Title: Chaotic hydrodynamics Supervisor: Professor David Laroze Postdoctoral Researcher: Harbin Institute of Technology, Shenzhen, China (Jun 2017–Jun 2020) Title: Application of fluid dynamics models to study spreading dynamics of complex systems Supervisor: Professor Zhao Yi F.I.M.A. (U.K.)

Awards and Recognitions:

Young Scientist Award at the 61st Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM), 2016. Ph.D. Mobility student at the Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, 2017. Rajiv Gandhi National Fellowship for Scheduled Caste Students. University first rank in M.Sc. with six gold medals.

Research Focus:

Dr. C. Kanchana is a distinguished researcher specializing in theoretical and computational studies of fluid dynamics. Her research, spanning multiple publications in reputable journals, focuses on various aspects of convection phenomena, including Rayleigh–Bénard convection, Brinkman–Bénard convection, and chaotic Darcy-Bénard convection. She explores the influence of symmetric/asymmetric boundaries, third-type thermal boundary conditions, and the impact of suction-injection-combination. Dr. Kanchana’s work extends to nanofluids, viscoelastic liquids, and chemical reactions in Rayleigh–Bénard systems. Her contributions encompass diverse topics such as ferroconvection, higher-order modes, and convection in radiating fluids. Overall, her expertise lies in the intricate dynamics of fluid flows with applications in physics and engineering.

Peer Reviewer & Academic Engagements:

Dr. Kanchana Chinnaswamy, citation metrics and indices from Google Scholar are as follows:

Google Citation Indices (Since 2017):

Citation: 492

h-index: 14

i10-index: 18

Publications (TOP NOTES)

Effect of trigonometric sine, square and triangular wave-type time-periodic gravity-aligned oscillations on Rayleigh–Bénard convection in Newtonian liquids and Newtonian, cited by 42, publication date: 2019/2/1.

Steady finite-amplitude Rayleigh–Bénard convection in nanoliquids using a two-phase model: theoretical answer to the phenomenon of enhanced heat transfer, cited by 70, publication date: 2017.

Unicellular unsteady Rayleigh–Bénard convection in Newtonian liquids and Newtonian nanoliquids occupying enclosures: new findings, cited by 56, publication date: 2017.

A comparative study of individual influences of suspended multiwalled carbon nanotubes and alumina nanoparticles on Rayleigh-Bénard convection in water, cited by 36, publication date: 2018.

Regulation of heat transfer in Rayleigh–Bénard convection in Newtonian liquids and Newtonian nanoliquids using gravity, boundary temperature and rotational modulations, cited by 31, publication date: 2020.

Effect of internal heat generation/absorption on Rayleigh-Bénard convection in water well-dispersed with nanoparticles or carbon nanotubes, cited by 31, publication date: 2018.

A study of unsteady, unicellular Rayleigh-Bénard convection of nanoliquids in enclosures using additional modes, cited by 21, publication date: 2018.

Regular and chaotic Rayleigh-Bénard convective motions in methanol and water, cited by 20, publication date: 2018.

Study of Soret and Dufour effects and secondary instabilities on Rayleigh-Benard convection in a couple stress fluid, publication date: 2020.

Sujatha Moorthy | Artificial Intelligence | Most Cited Article Award

Posted on 03/01/202403/01/2024 by ScienceFather

Dr. Sujatha Moorthy | Artificial Intelligence | Most Cited Article Award

PHD at Sathyabama University, India

Dr. M. Sujatha is a seasoned professional with 22 years of experience, specializing in Wireless Sensor Networks and RF Antenna technology. Holding a Ph.D. from Sathyabama University, Chennai, her research focuses on developing and validating antenna models to enhance the efficiency of wireless sensor applications. As a Professor at KL University, Vijayawada, she has contributed significantly to academia, with numerous publications in reputable international journals. Driven by a passion for innovation, she is actively involved in cutting-edge projects, showcasing her expertise in machine learning, robotics, and high-resolution satellite remote sensing. A dedicated scholar, she continues to shape the future of technology.

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