Nikiforos Samarinas | Groundwater Award | Best Researcher Award

Published on 19/07/202419/07/2024 by Popular EngineerLeave a Comment

Dr Nikiforos Samarinas | Groundwater Award | Best Researcher Award

Dr Nikiforos Samarinas ,Aristotle University of Thessaloniki , Greece

Dr Nikiforos Samarinas, born on April 24, 1989, in Larisa, Greece, is a dedicated researcher and educator specializing in water resources management and environmental sciences. He holds a Ph.D. in Water Resources Management from Aristotle University of Thessaloniki and is proficient in advanced technologies like GIS, MATLAB, Python, and AutoCAD. Nikiforos has contributed extensively to European research programs focusing on climate change adaptation, soil monitoring, and sustainable agriculture. His work integrates Earth observation data with machine learning techniques to address environmental challenges. Currently based in Thessaloniki, he serves as a Sessional Assistant Professor at Aristotle University, teaching courses in irrigation networks and land reclamation.

Publication Profile

Google Scholar

Education

Dr Nikiforos Samarinas completed his academic journey with a Ph.D. in Water Resources Management, an M.A.Sc. in Geoinformation, and a B.Sc. in Environmental Science/Oceanography. He earned certifications including C2 Proficiency in English, ECDL Expert, and specialized training in ArcGIS, MATLAB, Python, and AutoCAD. His doctoral thesis focused on water balance in free surface aquifers using fuzzy logic, showcasing his expertise in environmental modeling and data analysis.

Experience

With a robust research background, Nikiforos has been pivotal in multiple European Union and international projects. His roles include managing big data and applying machine learning for soil organic carbon mapping (ESA project) and developing AI-driven systems for agricultural carbon capture (EIFFEL project). He has contributed significantly to water quality assessment (AquaNEX) and soil monitoring (e-shape) initiatives. Nikiforos also serves as a Sessional Assistant Professor at Aristotle University, teaching and supervising projects related to irrigation networks and drainage systems.

Research focus

Nikiforos focuses on integrating Earth observation data and advanced analytics to address challenges in water resources management, soil science, and environmental sustainability. His research spans the development of digital tools for climate change adaptation, including AI models for agricultural decision-making and soil health assessment. Nikiforos is particularly interested in using remote sensing techniques and machine learning algorithms (such as convolutional neural networks and deep learning) to improve the accuracy and efficiency of environmental monitoring and management practices.

Publication Top Notes

“Estimation of sugar content in wine grapes via in situ VNIR-SWIR point spectroscopy using explainable artificial intelligence techniques” 🍇

“Evaluation of a micro-electro mechanical systems spectral sensor for soil properties estimation” 🌱

“Synergistic use of earth observation driven techniques to support the implementation of water framework directive in Europe: a review” 🌍

“Fuzzy linear regression of rainfall-altitude relationship” 🌧️

“In situ grape ripeness estimation via hyperspectral imaging and deep autoencoders” 🍷

“Fuzzy numerical solution to horizontal infiltration” 💧

“Fuzzy solution of nonlinear Boussinesq equation” 📈

“Cognitive soil digital twin for monitoring the soil ecosystem: a conceptual framework” 🌱

“Improved estimations of nitrate and sediment concentrations based on SWAT simulations and annual updated land cover products from a deep learning classification algorithm” 🌊

“Discharge estimation for trapezoidal open channels applying fuzzy transformation method to a flow equation” 💦

Shubham Jaiswal | Construction Award | Best Researcher Award

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Mr Shubham Jaiswal | Construction Award | Best Researcher Award

Mr Shubham Jaiswal, University of Birmingham ,United Kingdom

Shubham Jaiswal is a PhD candidate in Civil Engineering at the University of Birmingham, focusing on Construction 4.0 applications in developing countries. With a Master’s in Construction Management from Pune University, India, and a background in Civil Engineering, he has actively researched cost overruns in real estate projects and anaerobic digestion for biogas production. Shubham’s academic journey includes a Diploma in Civil Engineering and a Bachelor’s from Sant Gadge Baba Amravati University. He is skilled in AutoCAD, MS Office, and project management software, complemented by strong communication abilities. Outside academia, Shubham enjoys swimming, singing, and playing the Cajon box. His professional experiences include roles in student placement coordination and organizing national conferences. Currently, his research interests lie in advancing sustainable construction practices and infrastructure development in underserved regions.

Publication Profile

Orcid

Education

Shubham Jaiswal holds a PhD candidacy in Civil Engineering at the University of Birmingham since March 2023. He completed his Master’s in Construction Management at Pune University, India, achieving a CGPA of 8.07, and earned a Bachelor’s in Civil Engineering from Jagadambha College of Engineering and Technology with a CGPA of 8.11. His academic journey began with a Diploma in Civil Engineering from Government Polytechnic Yavatmal. Shubham has also undertaken specialized training in AutoCAD and project management software, enhancing his technical skills. His educational pursuits reflect a commitment to advancing knowledge in sustainable infrastructure and construction practices, particularly in addressing challenges faced by developing countries.

Experience

Shubham Jaiswal brings diverse academic and professional experiences to his role. He served as Student Placement Coordinator at Jagadambha College of Engineering and Technology, Yavatmal, Maharashtra, India, overseeing student career development initiatives. Additionally, he contributed significantly as an organizing committee member for the national conference ‘XPLORE-17’. Shubham’s research journey includes investigating factors contributing to cost overruns in Indian real estate projects and exploring anaerobic digestion for biogas production from cow dung slurry. He has also conducted feasibility studies on innovative construction materials like jute fiber and artificial sand. These experiences underscore his dedication to bridging theoretical knowledge with practical applications in civil engineering, aiming to enhance infrastructure sustainability and efficiency.

Research focus

Shubham Jaiswal’s research focuses on advancing Construction 4.0 methodologies in developing countries, particularly in improving construction efficiency and sustainability. His current PhD research at the University of Birmingham explores the application of digital technologies and automation to optimize infrastructure development processes. Previously, his studies have addressed critical issues such as cost overruns in real estate projects and innovative approaches to waste management through biogas production. Shubham is committed to leveraging his expertise in civil engineering and construction management to propose viable solutions that cater to the unique challenges faced by emerging economies. His work aims to foster inclusive and sustainable development practices that prioritize environmental stewardship and community well-being.

Publication Top Notes

“Construction 4.0: A Systematic Review of Its Application in Developing Countries”

Gergő Józsa | Pediatric Trauma Award | Best Researcher Award

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Assist Prof Dr Gergő Józsa | Pediatric Trauma Award | Best Researcher Award

Assist Prof Dr Gergő Józsa, PTE ,Hungary

Dr. Gergő Józsa is a dedicated medical professional with extensive expertise in pediatric surgery and trauma care. He graduated from the Medical University in 2009, subsequently specializing in pediatric surgery, hand surgery, and pediatric trauma surgery. Dr. Józsa earned his PhD in 2019 and achieved habilitation in 2024, focusing on the management of pediatric burns. He currently serves as the Head of the Pediatric Trauma Centre at the University of Pécs, where he leads innovative research and surgical advancements in pediatric orthopedics and trauma management.

Publication Profile

Scopus

Education

Dr. Gergő Józsa completed his medical education at the Medical University in 2009, followed by specialization in Pediatric Surgery in 2015 and Hand Surgery in 2018. He concurrently specialized in Pediatric Trauma Surgery, enhancing his skills in managing critical pediatric injuries. In 2019, he earned his PhD, focusing on pediatric burn management with polyhexamethylene biguanide. His habilitation in 2024 recognized his contributions to the field, particularly in the treatment of pediatric superficial partial-thickness burns. Dr. Józsa’s academic journey reflects a commitment to advancing pediatric surgical techniques and improving outcomes for young patients.

Experience

Dr. Gergő Józsa is currently the Head of the Pediatric Trauma Centre at the University of Pécs, where he oversees comprehensive care for pediatric patients with traumatic injuries. He leads a multidisciplinary team in providing specialized surgical interventions and innovative treatments. His clinical expertise spans pediatric surgery, hand surgery, and trauma surgery, with a particular focus on complex cases like juvenile osteochondral fractures and congenital hand disorders. Dr. Józsa is actively involved in research, contributing significantly to publications on pediatric orthopedic treatments and surgical innovations. His leadership and dedication have established him as a pivotal figure in advancing pediatric trauma care in Hungary.

Research focus

Dr. Gergő Józsa’s research focuses on advancing surgical techniques and improving outcomes in pediatric trauma and orthopedics. His interests include the management of pediatric burns, particularly superficial partial-thickness burns treated with polyhexamethylene biguanide. Dr. Józsa explores innovative approaches in limb prosthetics and orthotics using additive manufacturing technologies. He has published extensively on topics such as absorbable implants for juvenile osteochondral fractures, surgical management of congenital hand disorders, and autologous skin transplantation for burns. His research aims to enhance surgical precision, reduce recovery times, and optimize long-term functional outcomes for pediatric patients with complex orthopedic and traumatic conditions.

Publication Top Notes

Management of Pediatric Superficial Partial-Thickness Burns with Polyhexamethylene Biguanide: Outcomes and Influencing Factors 📄

Mirror Hand Disorder’s Surgical Management with Metacarpal Wedging 📄

Additive manufacturing in limb prosthetics and orthotics: the past, present and future of 3D printing orthopedic assistive devices 📄

Management of Juvenile Osteochondral Fractures Utilising Absorbable PLGA Implants 📄

A Complex Case of Clino-Syndactyly with Fourth Metacarpal Aplasia 📄

Mid-Term Follow-Up Study of Children Undergoing Autologous Skin Transplantation for Burns 📄

Preliminary experience with bioabsorbable intramedullary nails for paediatric forearm fractures: results of a mini-series 📄

Effectiveness of four topical treatment methods in a rat model of superficial partial-thickness burn injury: the advantages of combining zinc-hyaluronan gel with silver foam dressing 📄

Yuhua Tan | New Energy Technology Award | Best Researcher Award

Published on 16/07/202416/07/2024 by Popular EngineerLeave a Comment

Dr Yuhua Tan | New Energy Technology Award | Best Researcher Award

Dr Yuhua Tan ,University of Shanghai for Science and Technology, China

Dr Yuhua Tan is a Lecturer at the University of Shanghai for Science and Technology, specializing in electrical engineering. She earned her Ph.D. from Shanghai Jiao Tong University in 2020. Her research focuses on optimizing and controlling power systems, integrated energy systems, and renewable energy technologies. Yuhua Tan has authored numerous papers and holds several patents in areas such as hydrogen systems and wind power generation. She actively collaborates with institutions like Anhui Polytechnic University and State Grid Gansu Electric Power Company. Tan is dedicated to advancing sustainable energy solutions through her innovative research and academic contributions.

Publication Profile

Scopus

Education

Dr Yuhua Tan received her Ph.D. in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020. Her doctoral research focused on renewable energy integration and optimization in power systems. Prior to her Ph.D., she completed her undergraduate and master’s studies in electrical engineering, laying the foundation for her subsequent research and academic career.

Experience

Dr Yuhua Tan is currently a Lecturer at the University of Shanghai for Science and Technology, where she teaches and conducts research in the Department of Electrical Engineering. Her professional journey includes significant contributions to the field of electric power systems and renewable energy technology. Tan has actively participated in research projects funded by institutions such as the State Grid Gansu Electric Power Company and Anhui Polytechnic University’s Energy Internet Engineering Research Center. Her consultancy and industry projects demonstrate her practical expertise in energy system optimization and renewable energy integration.

Research focus

Dr Yuhua Tan’s research focuses on optimizing and controlling power systems, integrated energy systems, and renewable energy technologies. Her work explores innovative approaches to enhancing the efficiency and sustainability of energy systems through advanced modeling, optimization algorithms, and integration techniques. Tan’s research contributions include developing models for hydrogen systems, optimizing renewable energy utilization, and addressing challenges in wind power generation. She collaborates with industry and academic partners to innovate solutions that promote the transition to clean and sustainable energy sources, addressing global energy challenges in the 21st century.

Publication Top Notes

“Global optimization and quantitative assessment of large-scale renewables-based hydrogen system considering various transportation modes and multi-Field hydrogen loads” 🌍

“Sensorless control with adaptive speed observer using power winding information for dual-stator winding induction starter/generator” 🔄

“A novel short-term wind power scenario generation method combining multiple algorithms for data-missing wind farm considering spatial-temporal correlativity” 🌬️

“Linear active disturbance rejection control for dual-stator winding induction generator AC power system” 🔧

“A new modeling and solution method for optimal energy flow in electricity-gas integrated energy system” ⚡

Tzichat Empliouk | Microwave Award | Best Researcher Award

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Mr Tzichat Empliouk | Microwave Award | Best Researcher Award

Mr Tzichat Empliouk , Democritus University of Thrace, Greece

Tzichat Empliouk, born in Xanthi, Greece, on January 27, 1979, is a dedicated researcher specializing in microwave and mmWave passive components design for 5G applications. He received his Diploma and M.Sc. degrees in Electrical and Computer Engineering from Democritus University of Thrace, Greece, in 2004 and 2009, respectively. Currently pursuing a Ph.D. at the Microwave Laboratory, his work focuses on multiport networks, beamforming networks, antennas, and antenna arrays. Empliouk has contributed significantly to the field, publishing in prestigious journals and presenting at international conferences.

Publication Profile

Orcid

Education

Tzichat Empliouk earned his Diploma and M.Sc. degrees in Electrical and Computer Engineering from Democritus University of Thrace, Xanthi, Greece, in 2004 and 2009, respectively. His educational background laid a solid foundation for his current research pursuits in microwave and mmWave technologies, with a focus on designing advanced passive components for 5G wireless systems. Currently enrolled in a Ph.D. program at the university’s Microwave Laboratory, Empliouk continues to explore innovative solutions in antenna design and beamforming networks to enhance communication capabilities in modern telecommunications.

Research focus

Tzichat Empliouk’s research is centered around microwave and mmWave passive components design tailored for 5G applications. His primary interests include the development of multiport networks, beamforming networks, and advanced antenna arrays. Empliouk aims to address the increasing demand for high-speed, reliable wireless communications by optimizing the performance and efficiency of these components. His work contributes to enhancing the capacity and coverage of 5G networks, crucial for supporting emerging technologies such as Internet of Things (IoT) and smart cities. Empliouk’s recent publications highlight his contributions to the field, focusing on ultra-wideband antennas, miniaturization techniques, and integrated feeding structures, underscoring his commitment to advancing telecommunications infrastructure.

Publication Top Notes

“A Cost-Effective Wideband Switched Beam Antenna System for a Small Cell Base Station” 📝

“A Simplified Extended Multilayer SIW Supporting TE01 Mode Integrated with a Feeding Structure” 📝

“Compact, Ultra-Wideband Butler Matrix Beamformers for the Advanced 5G Band FR3—Part I” 📝

Mingcong Deng | Nonlinear system control Award | Best Researcher Award

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Prof Dr Mingcong Deng | Nonlinear system control Award | Best Researcher Award

Prof Dr Mingcong Deng, Tokyo University of Agriculture and Technology , Japan

Mingcong Deng is a distinguished Professor at Tokyo University of Agriculture and Technology, Japan, and a Fellow of The Engineering Academy of Japan and IEEE. He received his Ph.D. from Kumamoto University, Japan, focusing on nonlinear systems modeling and control. With extensive international experience, he has held positions at Okayama University and research roles in Japan and the UK. His expertise spans AI, operator-based nonlinear control, and real-time system estimation. Deng has received numerous awards, including Meritorious Service Awards from IEEE and recognitions from Japanese foundations and institutions. He is actively engaged in advanced mechatronic systems and fault-tolerant control research.

Publication Profile

Orcid

Education

Mingcong Deng earned his Ph.D. from Kumamoto University, Japan, in 1997, specializing in nonlinear systems modeling and control. Prior, he completed his M.Sc. at Northeastern University, China, in 1991, and his B.Sc. in 1986 from the same institution. His academic journey has equipped him with deep insights into advanced control theories and applications, which he applies in his current research and teaching roles at Tokyo University of Agriculture and Technology.

Experience

Professor Mingcong Deng currently serves as a Professor at Tokyo University of Agriculture and Technology, Japan, since 2010. Previously, he held positions including Associate Professor and Assistant Professor at Okayama University, Japan, and various research roles at NTT Communication Science Lab, Japan, and the University of Exeter, UK. With over two decades of experience in academia and industry, Deng has significantly contributed to the fields of nonlinear control, AI, and mechatronic systems. His research focuses on operator-based control methodologies and fault-tolerant systems, addressing critical challenges in real-time estimation and safety control.

Awards and Honors

Mingcong Deng’s contributions to control engineering have been recognized with prestigious awards such as the Meritorious Services Awards from IEEE SMC Society in 2014 and 2019. He has also received the Most Active Technical Committee Award from IEEE RAS Society in 2021. His early achievements include scholarships from the Japanese Government (MONBUSHO) and IFAC Japan Foundation. Deng has been honored with Best Paper Awards from various international conferences and journals, highlighting his impactful research in nonlinear control, fault detection, and advanced mechatronic systems.

Research focus

Professor Mingcong Deng’s research interests primarily revolve around nonlinear systems modeling and control, AI applications, and advanced mechatronic systems. He specializes in operator-based nonlinear control methodologies, fault-tolerant control systems, and real-time estimation techniques. Deng’s current focus includes applications in 2-DOF/3-DOF micro-hand control, wireless power transfer systems, smart actuators, and vibration control of flexible structures using shape memory alloys. His work contributes significantly to enhancing system efficiency, robustness, and safety in dynamic operational environments, addressing challenges in both theoretical advancements and practical implementations.

Publication Top Notes

“Nonlinear Fault-Tolerant Vibration Control for Partial Actuator Fault of a Flexible Arm” 📝

“Operator-Based Nonlinear Adaptive Control for a Calorimetric Power Loss Measurement System Using a Peltier Element” 📝

“Nonlinear Vibration Control Experimental System Design of a Flexible Arm Using Interactive Actuations from Shape Memory Alloy” 📝

“Operator-Based Fractional-Order Nonlinear Robust Control for the Spiral Heat Exchanger Identified by Particle Swarm Optimization” 📝

“Design and Control of Advanced Mechatronics Systems” 📝

Vijay Sood | Power Electronics Award | Best Researcher Award

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Prof Vijay Sood | Power Electronics Award | Best Researcher Award

Prof Vijay Sood , Ontario Tech University, Canada

Dr. Vijay Kumar Sood 🌟 is a highly accomplished Canadian engineer and academic based in Brooklin, Ontario. With a distinguished career spanning academia and industry, he holds a Ph.D. from the University of Bradford, UK, and has been recognized as a Fellow by IEEE, Engineering Institute of Canada, and Canadian Academy of Engineering. Dr. Sood currently serves as an Associate Professor at Ontario Tech University, where he contributes significantly to research and education in power electronics and systems.

Publication Profile

Orcid

Education

Dr. Sood’s academic journey includes a Ph.D. from the University of Bradford, UK, in 1977, an M.Sc. from the University of Strathclyde, UK, in 1969, and a B.Sc. (Hons.) from the University of Nairobi, Kenya, in 1967. He has also pursued additional courses in Project Management, Reliability Centred Maintenance, and various simulation packages.

Experience

Throughout his career, Dr. Sood has held key positions such as Senior Researcher at Hydro-Québec’s Institut de recherche, Adjunct Professor at Concordia University, and Editor for prominent IEEE journals. His roles have included teaching undergraduate and postgraduate courses, conducting extensive research in power systems simulation, and leading numerous projects in HVDC transmission and advanced controls.

Awards and Honors

Dr. Sood’s contributions have earned him prestigious awards including Fellowships from IEEE and the Canadian Academy of Engineering, and recognition from the Engineering Institute of Canada and IEEE Canada. His notable honors include the IEEE Third Millennium Award and the CP Railway Engineering Medal.

Research focus

Dr. Sood’s research focuses on power electronic applications in power systems 🌐, with particular emphasis on HVDC, FACTS, and microgrid technologies. His work integrates advanced simulation studies, neural network applications, and control systems for enhanced grid stability and renewable energy integration.

Publication Top Notes

“Linear Quadratic Gaussian Controller for Single-Ended Primary Inductor Converter via Integral Linear Quadratic Regulator Merged with an Offline Kalman Filter” 📄

“Nonlinear controller for SEPIC with single variable to tune” 📄

“Enhanced Virtual Inertia Controller for Microgrid Applications” 📄

“Dynamic Analysis of VSC-HVDC System with Disturbances in the Adjacent AC Networks” 📄

Dr Sagar Patil | Materials Science Award | Best Researcher Award

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Dr Sagar Patil | Materials Science Award | Best Researcher Award

Dr Sagar Patil, Michigan Technological University, United States

Dr. Sagar U. Patil is a dynamic researcher specializing in computational materials science, with a Ph.D. in Mechanical Engineering from Michigan Technological University (MTU). His expertise spans over 5 years, focusing on atomic-scale simulations to elucidate structure-property relationships in materials. He has collaborated extensively with cross-functional teams from academia and industry, including NASA, AFRL, DOE, and major corporations like Solvay and Huntsman Corporation. Passionate about innovation, he has made significant contributions to advancing materials modeling, particularly in molecular dynamics and finite element methods.

Publication Profile

Google scholar

Education

Dr. Patil earned his Ph.D. in Mechanical Engineering – Engineering Mechanics from MTU, USA, where he conducted groundbreaking research on molecular dynamics simulations of polymers and composites. Prior to this, he completed his M.Tech. in General Mechanical Engineering from SVNIT, India, and his B.E. in Mechanical Engineering from RSCOE, Pune University, India. His academic journey has been marked by a deep commitment to integrating theoretical insights with practical applications in materials science.

Experience

Currently a Postdoctoral Scholar at MTU, Dr. Patil pioneers physics-based workflows for optimizing materials such as ultra-strong composites for aerospace and wind energy applications. His research has focused on modeling interface interactions in nanotubes and polymers, enhancing experimental validation and process optimization through computational simulations. As a Graduate Research Assistant, he developed expertise in molecular dynamics and ab-initio methods, contributing significantly to the understanding of complex material behaviors. His teaching experience as a Graduate Teaching Assistant underscored his commitment to education and mentorship in engineering.

Awards and Honors

Dr. Patil has garnered several accolades, including the Group Achievement Award from NASA for his contributions to the Machine Genome Initiative. He secured first place in the ICME Prize Competition at the AIAA SciTech Forum and second place in the 3MT Competition at MTU. His dedication to teaching was recognized with the Dean’s Award for Outstanding Graduate Teaching. He is a member of esteemed societies such as the American Society of Composites, Tau Beta Pi Engineering Honor Society, and the National Postdoctoral Association, reflecting his leadership and impact in the field of materials science.

Research focus

Dr. Patil’s research focuses on utilizing atomic-scale simulations, particularly molecular dynamics and ab-initio methods, to investigate structure-property relationships in materials. His work spans diverse areas such as polymers (epoxies, polyimides), nanotubes, and composite materials. He is passionate about integrating computational models with experimental techniques to advance understanding in fields like aerospace materials, renewable energy composites, and industrial applications. His expertise in finite element methods and machine learning further enhances his ability to predict material behaviors and optimize manufacturing processes. Dr. Patil aims to foster collaborative scientific discovery and innovation, contributing significantly to the advancement of computational materials science.

Publication Top Notes

Molecular dynamics modeling of epoxy resins using the reactive interface force field 📊

Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study 🔍

Reactive molecular dynamics simulation of epoxy for the full cross-linking process 🔬

Interfacial modeling of flattened CNT composites with cyanate ester and PEEK polymers 🌐

Understanding the origin of the low cure shrinkage of polybenzoxazine resin by computational simulation 📐

Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

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Dr Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

Dr Bonginkosi Thango, University of Johannesburg, South Africa

Dr. Bonginkosi Allen Thango is a distinguished researcher and Senior Lecturer at the University of Johannesburg, specializing in Electrical Engineering. He holds a Doctor of Engineering (D.Eng.) and is a registered Professional Engineering Technologist with ECSA. Dr. Thango’s expertise encompasses Transformer Engineering, Artificial Intelligence & Machine Learning, Digital Twins, and Metaheuristic Algorithms. His research focuses on predictive maintenance strategies, renewable energy integration, and IoT applications in power systems. He has authored numerous peer-reviewed papers and two books, contributing significantly to advancing transformer diagnostics and optimization. Recognized for his academic achievements, Dr. Thango was awarded the Y2 NRF-rated Researcher status in 2024 and received the M&G 2022 200 Young South Africans Award for Technology and Innovation. He actively engages in teaching, research supervision, and community projects, emphasizing innovation in electrotechnology and technology management.

Publication Profile

Orcid

Education

Dr. Bonginkosi A. Thango has a rich educational background in Electrical Engineering, culminating in his Doctor of Engineering (D.Eng.) degree from Tshwane University of Technology in 2021. His doctoral research focused on assessing harmonic effects on utility-scale photovoltaic plant step-up transformers. Prior to this, he achieved a Master of Engineering (M.Eng.) with Cum Laude honors in 2019, specializing in transformer winding deformation diagnosis through Sweep Frequency Response Analysis (SFRA). He commenced his academic journey with a Bachelor of Technology (B.Tech.) in Electrical Engineering in 2017, exploring practical simulations of underground cable faults using time-domain reflectometry (TDR). His foundational education includes a National Diploma in Electrical Engineering (2016) and a National Senior Certificate (2010), emphasizing mathematics and physical sciences.

Experience

Dr. Thango’s career is distinguished by his roles in academia and industry. Currently serving as a Senior Lecturer at the University of Johannesburg since 2024, he actively contributes to teaching, research, and academic administration in Electrical Engineering. His responsibilities include curriculum development, supervising postgraduate students, securing research funding, and publishing in peer-reviewed journals. Previously, he held positions such as Lecturer at the same institution from 2022 to 2024, where he conducted research, supervised students, and contributed to innovation in his field.

Awards and Honors

Acknowledged as a leader in his field, Dr. Thango received the Mail and Guardian 2022: 200 Young South Africans award in the category of Technology and Innovation. He is also recognized as a Y2 NRF-rated researcher, highlighting his substantial contributions to engineering research. His academic achievements include scholarships during his postgraduate studies and awards for academic excellence during his early education.

Research focus

Dr. Bonginkosi A. Thango’s research is dedicated to advancing the field of electrical power transformers, focusing on diagnostics, predictive maintenance, and optimization strategies. His work spans various critical areas aimed at enhancing transformer reliability and performance using state-of-the-art technologies and methodologies. He has contributed significantly to understanding and classifying partial discharge sources in power transformers through systematic literature reviews and empirical studies. Dr. Thango’s research also delves into predictive modeling for transformer insulation, particularly using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to forecast the remaining life cycle of cellulose insulation. Additionally, he explores the integration of solar photovoltaic (PV) systems with transformers, investigating the techno-economic implications and optimizing PV transformer designs

Publication Top Notes

🔍 “Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review” (2024) – Investigates methods for categorizing partial discharge sources in transformers.

🔬 “A Technique for Transformer Remnant Cellulose Life Cycle Prediction Using Adaptive Neuro-Fuzzy Inference System” (2023) – Develops a predictive model for assessing cellulose insulation life in transformers.

☀️ “Techno-Economic Modelling of Solar Photovoltaic (PV) Power Transformers in South Africa” (2023) – Explores economic implications of integrating PV systems with transformers.

🛠️ “Dissolved Gas Analysis and Application of Artificial Intelligence Technique for Fault Diagnosis in Power Transformers: A South African Case Study” (2022) – Applies AI to fault diagnosis via dissolved gas analysis.

📊 “Feedforward Artificial Neural Network (FFANN) Application in Solid Insulation Evaluation Methods for the Prediction of Loss of Life in Oil-Submerged Transformers” (2022) – Utilizes FFANN for predicting transformer insulation degradation.

🔧 “Application of the Analysis of Variance (ANOVA) in the Interpretation of Power Transformer Faults” (2022) – Analyzes transformer fault data using ANOVA techniques.

🌐 “On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers” (2022) – Focuses on using neural networks for early fault detection in transformer gases.

Mohammed Alharbi | Nanoelectronics Award | Best Researcher Award

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Mr Mohammed Alharbi | Nanoelectronics Award | Best Researcher Award

Mr Mohammed Alharbi, Liverpool John Moores University, Saudi Arabia

Mr Mohammed Alharbi is the Executive Vice President and Chief Technology Officer at Saudi Electronic Materials Company (SEMC), specializing in semiconductor technology and nanoelectronics engineering. He holds an MSc in Industrial Engineering and a BSc in Computer Science from King Abdulaziz University, Saudi Arabia, and is currently pursuing a PhD in Nanoelectronics Engineering at Liverpool John Moores University, UK. With over two decades at SEMC, Alharbi has led advancements in VLSI circuits, IR sensors, MEMS/NEMS, and quantum computing circuits. His expertise extends to project management and system engineering, supported by extensive training and over 100 specialized courses.

Publication Profile

Orcid

Education

Mr Mohammed Alharbi holds a PhD in Nanoelectronics Engineering from Liverpool John Moores University, UK (2022-present), following his doctoral studies at the University of Chester (2020-2022). He earned an MSc in Industrial Engineering and a BSc in Computer Science from King Abdulaziz University, Saudi Arabia, in 2013 and 2000, respectively. Alharbi’s academic journey is complemented by ongoing professional development in advanced semiconductor technologies and engineering disciplines.

Experience

As EVP and CTO of Saudi Electronic Materials Company (SEMC), Mohammed Alharbi oversees the strategic alignment of technology with business objectives. His leadership spans over two decades at SEMC, including roles as Design Department Head and Design Engineer. Alharbi’s expertise in semiconductor technology encompasses CMOS, IR sensors, MEMS/NEMS, and quantum computing circuits, influencing both commercial projects and R&D initiatives. He excels in system-level design, simulation, and implementation, crucial for integrating microscale and nanoscale technologies into practical applications.

Research focus

Mr Mohammed Alharbi’s research focuses on advancing nanoelectronics engineering, particularly in VLSI circuits, IR sensors, MEMS/NEMS, and quantum-dot cellular automata (QCA) technology. His contributions include pioneering ultra-energy-efficient designs and reversible logic circuits, as evidenced in his publications on quantum-dot cellular automata and nanocomputing circuits. Alharbi’s work emphasizes the integration of cutting-edge semiconductor technologies with practical applications, positioning him at the forefront of innovation in the field.