Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

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Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

Saveetha Engineering College| India

Dr. C. John De Britto is a dedicated researcher in Electrical and Electronics Engineering with a strong focus on power electronics, renewable energy systems, electric drives, optimization algorithms, and intelligent control strategies. His research work explores innovative solutions for improving power quality, enhancing the efficiency of renewable energy integration, and advancing smart energy systems. With contributions spanning image enhancement techniques, hybrid renewable systems, DC–DC converter architectures, electric vehicle impact mitigation, and intelligent control for photovoltaic systems, he brings a multidisciplinary approach bridging conventional power engineering with modern computational intelligence. His scholarly output includes 14 Scopus-indexed documents that have collectively received 40 citations with an h-index of 4 on Scopus. Additionally, his Google Scholar profile reflects 50 citations, an h-index of 4, and an i10-index of 1, highlighting the growing influence and visibility of his work. His publications demonstrate a strong commitment to developing sustainable engineering solutions, especially in areas such as quasi Z-source converters, hybrid renewable energy design, embedded platforms, fault recognition in industrial motors, and bio-inspired optimization for control systems. Dr. De Britto’s research impact is evident across peer-reviewed journals, international conferences, and interdisciplinary collaborations, with several studies addressing modern challenges such as electric vehicle charging impacts, microgrid performance, and automation for safety-critical applications. His continuous contributions to energy systems, computational approaches, and power conversion technologies position him as an emerging academic voice in renewable and intelligent power engineering research.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Venkatesh, S., De Britto, C. J., Subhashini, P., & Somasundaram, K. (2022). Image enhancement and implementation of CLAHE algorithm and bilinear interpolation. Cybernetics and Systems, 1–13.

Pradeep, M., Sathishkumar, S., & Subramanian, A. T. S. (2019). Recognition of fault and security of three phase induction motor by means of programmable logic controller. IOP Conference Series: Materials Science and Engineering, 623, 012017.

Yuvaraj, T., Prabaharan, N., De Britto, C. J., Thirumalai, M., Salem, M., & others. (2024). Dynamic optimization and placement of renewable generators and compensators to mitigate electric vehicle charging station impacts using the spotted hyena optimization algorithm. Sustainability, 16(19), 8458.

De Britto, C. J., Nagarajan, S., & Kumar, R. S. (2023). Effective design and implementation of hybrid renewable system using convex programming. International Journal of Green Energy, 20(13), 1473–1487.

De Britto, C. J., & Nagarajan, S. (2018). High performance quasi Z-source resonant converter with hybrid energy resources for rural electrification. International Journal of Engineering and Advanced Technology, 8(2C2), 132–135.

Mr. Muhammad Waqas Arshad | Quantum Computing | Best Researcher Award

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Mr. Muhammad Waqas Arshad | Quantum Computing | Best Researcher Award

PhD Researcher, University of Bologna, Italy

Muhammad Waqas Arshad is a passionate Research Scholar specializing in Artificial Intelligence, Quantum Computing, and Data Science 🌍💡. With a strong analytical mindset and a drive for innovation, he focuses on developing computational solutions for real-world challenges, particularly in intelligent transportation systems and automotive engineering 🚗🔬. He actively collaborates on interdisciplinary projects, bridging theoretical research with practical applications. As a researcher with a futuristic vision, he is dedicated to pushing the boundaries of emerging technologies and contributing to industrial advancements. Currently, he is a Visiting Scholar at Purdue University Fort Wayne, USA 🎓🇺🇸.

Publication Profile

Education 🎓

Muhammad Waqas Arshad has a rich academic background in Computer Science and Artificial Intelligence. He is currently pursuing a Ph.D. in Computer Science and Engineering at the University of Bologna, Italy 🇮🇹 (2022-Present) 🏛️. He holds an MS in Artificial Intelligence (Creative Technologies) from Air University, Islamabad, Pakistan 🇵🇰 (2019-2022) 📚. His journey in computer science began with a BS-IT from Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2015-2019) 🎓. His multidisciplinary expertise enables him to tackle complex research problems with a strong computational foundation.

Experience 💼

With extensive research experience, Muhammad Waqas Arshad is currently a Visiting Scholar in Computer Science at Purdue University Fort Wayne, USA 🌎💻. He has been actively involved in advanced AI applications and quantum computing methodologies, focusing on intelligent optimization techniques for automotive systems and energy forecasting 🔬🚀. His work spans various international collaborations, contributing to scientific advancements in multi-objective optimization, AI-driven decision-making, and machine learning algorithms 🤖📊.

Awards and Honors 🏅

Muhammad Waqas Arshad has received several academic and professional accolades for his contributions to research and technology 🌟. His innovative research publications and active participation in AI and quantum computing conferences have earned him recognition in the global research community 🏆. As a dedicated IEEE member and General Secretary at ISOC-BSIG, he has made significant contributions to scientific communities and AI-driven technological advancements 📜.

Research Focus 🔬

His research interests primarily revolve around Artificial Intelligence, Quantum Computing, and Data Science 🧠💡. He specializes in AI-driven automotive engineering, intelligent transportation systems, and energy-efficient solutions for electric vehicle charging stations ⚡🚘. Additionally, he explores multi-objective optimization using AI and quantum approaches, aiming to enhance real-world decision-making processes 🏗️🔎. His work integrates machine learning, deep learning, and computational intelligence to drive scientific and industrial breakthroughs 🚀📈.

Conclusion 🌟

Muhammad Waqas Arshad is a visionary researcher committed to bridging the gap between theoretical research and industrial innovation 🚀🎯. His pioneering work in AI, quantum computing, and data science is shaping the future of intelligent systems and automation 🌍🤖. With a strong academic background, international research experience, and a passion for technology, he is actively contributing to the next generation of computational advancements 📚⚡.

Publications 📚🔗

Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review (2025) – Published in Machines 🏎️ 🔗DOI: 10.3390/machines13030204

Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms (2024) – ICAMCS Conference 🔬 🔗DOI: 10.1109/icamcs62774.2024.00025

AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy (2024) – Smart Grid Conference ⚡ 🔗DOI: 10.1109/icsmartgrid61824.2024.10578078

Comparative Analysis of MOORA and GRA with PIPRECIA Weighting in Warehouse Head Selection (2024) – BEES Journal 📦 🔗DOI: 10.47065/bees.v4i3.4922

Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation (2024) – KLIK Journal 📊

Detection of Human Gender from Eye Images Using DNN Approach (2023) – Teknoinfo Journal 👁️

Role of AI in Decision Making and Its Socio-Psycho Impact on Jobs, Project Management, and Business of Employees (2023) – Journal for ReAttach Therapy 🏢

Applications of Quantum Computing in the Health Sector (2023) – Journal of Data Science and Intelligent Systems 🏥 🔗DOI: 10.47852/bonviewJDSIS3202656

Prediction and Diagnosis of Breast Cancer Using Machine Learning and Ensemble Classifiers (2023) – Open Science Framework 🎗️ 🔗DOI: 10.17605/OSF.IO/9CFN6

Advanced Face Detection Using Machine Learning and AI-Based Algorithm (2022) – IC3I Conference 🤖 🔗DOI: 10.1109/ic3i56241.2022.10072527

 

Rabha Ibrahim | Quantum Science | Best Researcher Award

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Prof. Dr. Rabha Ibrahim | Quantum Science | Best Researcher Award

Alayen University, United States

Rabha Waell Ibrahim (Rabha W. Ibrahim) is a distinguished researcher and academic in the fields of complex, computing, and cloud systems, with a focus on mathematical modeling, image processing, geometric function theory, fractional calculus, and quantum computing. She holds a Ph.D. in Complex Systems from Universiti Kebangsaan Malaysia (UKM) and has completed postdoctoral research at the Cloud Computing Center, University Malaya. With a career spanning multiple international institutions, Rabha has been recognized among the world’s top 2% scientists by Stanford University and Elsevier across multiple years. She currently serves as a Professor at Istanbul Okan University, Turkey, contributing to the advancement of mathematical and computing sciences. Her research is recognized globally, and she actively contributes to various prestigious journals. 📚🌐

Publication Profile

Education

Rabha Waell Ibrahim completed her Ph.D. in Complex Systems at the Centre of Modelling and Data Sciences, University Kebangsaan Malaysia (UKM), in 2011. She furthered her expertise with postdoctoral research at the Cloud Computing Center, University Malaya, in 2016. Additionally, she holds a Google Data Analytics Certificate from Coursera, earned in May 2022. 🎓📖

Experience

Rabha has held several academic and research positions in renowned universities and institutions across the world. She began her career as a Senior Lecturer at University Malaya, Malaysia, from 2011 to 2015, followed by a role as Senior Researcher at the same university until 2016. She was an Associate Professor at Modern College of Business and Science in Oman from 2017 to 2019, and later worked as a Senior Researcher at Ton Duc Thang University, Vietnam, from 2019 to 2021. Rabha has also contributed as a researcher at Lebanese American University, Lebanon, and Near East University, Cyprus, and is currently a Professor at Istanbul Okan University, Turkey. 🏫🌍

Awards and Honors

Rabha’s significant contributions to science have earned her recognition in the form of listings among the world’s top 2% scientists by Stanford University and Elsevier over several years (2019–2024). Additionally, she has a remarkable H-index, with values of 28 in Web of Science, 31 in Scopus, and 33 in ResearchGate. These achievements reflect her ongoing influence in her fields of expertise. 🏅🌟

Research Focus

Rabha’s research spans a broad array of topics, including complex systems, computing, cloud systems, and mathematical modeling. She has made substantial contributions to image processing, geometric function theory, fractional calculus, and quantum computing. Her work also delves into the intersection of fractals and fractional calculus, with applications in various scientific domains. Her research continues to impact theoretical and applied mathematics, influencing both academia and industry. 🔬💻

Conclusion

Rabha W. Ibrahim is a globally recognized expert in mathematical sciences, whose work spans numerous cutting-edge topics, including cloud computing, fractional calculus, and quantum computing. Her consistent presence in the global scientific community, coupled with her prestigious academic appointments and research achievements, makes her a leading figure in her field. 🌍💡

Publications

Quantum–Fractal–Fractional Operator in a Complex Domain

Published: 2025

Journal: Axioms

DOI: 10.3390/axioms14010057

Cited by: Crossref

The Essential Gronwall Inequality Demands the (ρ,φ)(\rho, \varphi)-Fractional Operator with Applications in Economic Studies

Published: 2024

Journal: Universal Journal of Mathematics and Applications

DOI: 10.32323/ujma.1425363

Cited by: Crossref

A New Self-Organization of Complex Networks Structure Generalized by a New Class of Fractional Differential Equations Generated by 3D-Gamma Function

Published: 2024

Journal: Journal of King Saud University – Science

DOI: 10.1016/j.jksus.2024.103512

Cited by: Crossref

Classification of Tomato Leaf Images for Detection of Plant Disease Using Conformable Polynomials Image Features

Published: 2024

Journal: MethodsX

DOI: 10.1016/j.mex.2024.102844

Cited by: Crossref

Studies in Fractal–Fractional Operators with Examples

Published: 2024

Journal: Examples and Counterexamples

DOI: 10.1016/j.exco.2024.100148

Cited by: Crossref

K-Symbol Fractional Order Discrete-Time Models of Lozi System

Published: 2024

Journal: Book Chapter

DOI: 10.1201/9781003568643-11

Cited by: Crossref

Properties and Applications of Complex Fractal–Fractional Operators in the Open Unit Disk

Published: 2024

Journal: Fractal and Fractional

DOI: 10.3390/fractalfract8100584

Cited by: Crossref

Analysis of a Normalized Structure of a Complex Fractal–Fractional Integral Transform Using Special Functions

Published: 2024

Journal: Axioms

DOI: 10.3390/axioms13080522

Cited by: Crossref

Generalized Fractional Integral Operator in a Complex Domain

Published: 2024

Journal: Studia Universitatis Babes-Bolyai Matematica

DOI: 10.24193/subbmath.2024.2.03

Cited by: Crossref

Mathematical Modeling and Performance Evaluation of Ducted Horizontal-Axis Helical Wind Turbines: Insights into Aerodynamics and Efficiency

Published: 2024

Journal: PLOS ONE

DOI: 10.1371/journal.pone.0303526

Cited by: Crossref

 

Malgorzata Makowska-Janusik | Quantum Computing | Women Researcher Award

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Prof Dr. Malgorzata Makowska-Janusik | Quantum Computing | Women Researcher Award

Faculty of Science and Technology, Jan Dlugosz University, Poland

🌟 Prof. Dr. Hab. Małgorzata Makowska-Janusik is a distinguished professor of physics at Jan Dlugosz University in Czestochowa, Poland. Born in 1970, she has dedicated her career to advancing the field of physics through research, teaching, and leadership roles. Since 2020, she has served as the head of the Department of Photoinduced Phenomena and has been recognized with numerous awards for her professional achievements.

Profile

Google Scholar

 

Education

🎓 Prof. Makowska-Janusik earned her Doctor of Science degree in 1998 from Silesian Technical University in Gliwice, Poland. In 2011, she completed her habilitation in physics at Silesian University in Katowice, Poland. Her extensive academic journey has been marked by prestigious scholarships and fellowships, including a postdoc position at the University of Maine in Le Mans, France, and a Marie Curie fellowship at the National Hellenic Research Foundation in Athens, Greece.

Experience

🧑‍🏫 Prof. Makowska-Janusik began her academic career as a trainee assistant and assistant at the Institute of Physics, Pedagogical University in Czestochowa from 1993 to 1998. She then joined Jan Dlugosz University, where she served as an adjunct from 1998 to 2011, and later as a professor of physics. Her leadership roles include Deputy Director for Student Affairs, Vice Dean for Research, and Dean of the Faculty of Science and Technology.

Research Interests

🔬 Prof. Makowska-Janusik’s research interests are vast, focusing on photoinduced phenomena, nonlinear optical properties of composite materials, and nanomaterials for photocatalytic and photovoltaic applications. She has been involved in numerous international collaborations and has directed several significant research projects.

Awards

🏆 Prof. Makowska-Janusik has received multiple accolades for her contributions to science, including the prestigious title of professor of science (physical sciences) from the President of the Republic of Poland in 2020. She is a scholarship holder of the Foundation for Polish Science and a Marie Curie fellow. Additionally, she has been honored with the first-level prize of the Rector of Jan Dlugosz University for her professional achievements multiple times.

Publications

Corrosion inhibition of mild steel in 1M HCl by D-glucose derivatives of dihydropyrido [2, 3-d: 6, 5-d′] dipyrimidine-2, 4, 6, 8 (1H, 3H, 5H, 7H)-tetraone

Photoluminescence features on the Raman spectra of quasistoichiometric SiC nanoparticles: Experimental and numerical simulations

Zinc induced a dramatic enhancement of the nonlinear optical properties of an azo-based iminopyridine ligand

SiC nanocrystals embedded in oligoetheracrylate photopolymer matrices; new promising nonlinear optical materials

Optical poling of oligoether acrylate photopolymers doped by stilbene-benzoate derivative chromophores