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

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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

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

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

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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.

Publication Top Notes

Hybrid Quantum-Dot Cellular Automata Nanocomputing Circuits 📄

An Ultra-Energy-Efficient Reversible Quantum-Dot Cellular Automata 8:1 Multiplexer Circuit 📄

Reversible Quantum-Dot Cellular Automata-Based Arithmetic Logic Unit 📄

Novel ultra-energy-efficient reversible designs of sequential logic quantum-dot cellular automata flip-flop circuits 📄

The Design and Simulation of a Reversible Quantum-Dot Cellular Automata-based Arithmetic Logic Unit 📄

Design and Simulation of Reversible Time Synchronized Quantum-Dot Cellular Automata Combinational Logic Circuits with Ultralow Energy 📄

Chokri Ben Salah | Energy management Award | Best Researcher Award

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

Prof Chokri Ben Salah | Energy management Award | Best Researcher Award

Prof Chokri Ben Salah, University of Monastir, Tunisia

Prof Chokri Ben Salah is an Associate Professor of Electrical Engineering at the Higher Institute of Applied Sciences and Technology of Sousse, Tunisia. He earned his Ph.D. and Habilitation in Electrical Engineering from the National School of Engineers of Sfax. His research focuses on renewable energies, electric systems, power electronics, and their applications in smart grids, micro-grids, and electric vehicles. Ben Salah is affiliated with the Laboratory of Automation, Electrical Systems, and Environment (LASEE) at the University of Monastir. He has authored numerous publications and actively contributes to conferences on topics related to energy management, hybrid systems optimization, and wireless charging technologies.

Publication Profile

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Education

Prof Chokri Ben Salah received his Ph.D. in Electrical Engineering from the National School of Engineers of Sfax in 2011, specializing in optimal management of autonomous PV/Battery systems. He obtained his Habilitation in 2016 on the design and optimization of renewable energies. Earlier, he completed his Master’s degree in Electrical Conversion and Renewable Energy and his Bachelor’s degree in Electrical Engineering, both at ENIS in Tunisia.

Experience

Prof Chokri Ben Salah has extensive teaching experience, currently serving as an Associate Professor at the Higher Institute of Applied Sciences and Technology of Sousse since 2018. Prior to this, he held positions as Assistant Professor at ISSAT Sousse and the Faculty of Science of Gafsa. His teaching spans courses in micro-sources of energy production, renewable energies, electric machines, and power electronics. Ben Salah has supervised numerous graduation projects and conducted pedagogical training at the University of Sousse. His industrial experience includes internships and research contracts focused on electrical systems and renewable energy applications.

Research focus

Chokri Ben Salah’s research interests lie in renewable energy systems, particularly the optimization of PV/Battery systems and hybrid energy management. He explores advanced topics such as smart grids, micro-grids, and electric vehicle technologies. His work emphasizes the integration of renewable energies into existing power systems for enhanced efficiency and sustainability. Ben Salah has contributed significantly to the development of high-frequency optimized inverter technology for wireless charging stations and has published extensively on multi-criteria assessments of renewable energy systems, techno-economic studies, and artificial intelligence solutions for energy management.

Publication Top Notes

Hybrid PVP/Battery/Fuel Cell Wireless Charging Station Using High-Frequency Optimized Inverter Technology for Electric Vehicles

A Comparative-Analysis-Based Multi-Criteria Assessment of On/Off-Grid-Connected Renewable Energy Systems: A Case Study

A techno-economic comparative study of renewable energy systems based different storage devices

An Artificial Intelligence Solution for Energy Management in Smart Grid

Design and Optimization of VHF Class Φ 2 Inverter Dedicated for Wireless Charging Application

Enhancing Efficiency in Wireless Solar Charging Stations Through IoT Control and Optimization Strategies

Omar Soufi | Aerospace Engineering Award | Best Researcher Award

Published on 15/07/202415/07/2024 by Popular EngineerLeave a Comment

Dr Omar Soufi | Aerospace Engineering Award | Best Researcher Award

Dr Omar Soufi ,EMI, Morocco

Dr. Omar Soufi is a Doctor of Computer Engineering specializing in Artificial Intelligence, with a focus on Data Science, Spatial Remote Sensing, and Geographic Information Systems (GIS). He has a diverse background in developing deep learning models for satellite image super-resolution and extensive experience in designing and implementing platforms for data management and spatial analysis. Dr. Soufi’s career spans roles in project management, team leadership, and departmental oversight in business intelligence and decision-making tools. He is currently engaged in pioneering AI initiatives, leveraging his expertise to advance technology applications in satellite imagery and spatial data analytics.

Publication Profile

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Education

Dr. Omar Soufi holds a Doctorate in Computer Engineering specializing in Artificial Intelligence. He completed his doctoral research focusing on deep learning techniques for enhancing the resolution of satellite images. His academic journey includes extensive coursework and projects in Data Science, Big Data architecture, and the development of educational and data visualization platforms. Dr. Soufi’s educational background equips him with a robust skill set in programming languages, frameworks, and technologies essential for innovative AI and GIS applications.

Experience

Dr. Omar Soufi has accumulated a wealth of professional experience in the field of Computer Engineering, particularly in Artificial Intelligence and Geographic Information Systems (GIS). His career began with roles in project management and team leadership within the IT sector, progressively advancing to oversee business intelligence and decision-making tools. Dr. Soufi has contributed significantly to national-level projects, including platforms for disaster risk management, vehicle fleet monitoring, and real estate asset management. His expertise extends to designing and implementing specialized applications in spatial analysis and environmental monitoring, utilizing cutting-edge technologies to tackle complex data challenges.

Research focus

Dr. Omar Soufi’s research focuses on the application of Artificial Intelligence and deep learning techniques in satellite imagery and spatial data analysis. His work centers on developing innovative methods for enhancing the resolution of satellite images using deep learning models. Dr. Soufi is particularly interested in the intersection of Data Science and Geographic Information Systems (GIS), aiming to advance capabilities in spatial remote sensing and environmental monitoring. His research contributions include publications on image super-resolution, spatial data processing, and the development of AI-driven applications for geographical information systems. Dr. Soufi continues to explore new avenues for leveraging AI to address challenges in spatial data analysis and environmental science.

Publication Top Notes

An intelligent deep learning approach to spacecraft attitude control: the case of satellites”

“Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach”

“Deep learning technique for image satellite processing”

“Analysis and Processing of Spatial Remote Sensing Multispectral Imagery using Deep Learning Techniques”

“Study of Deep Learning-based models for Single Image Super-Resolution”

“Benchmark of deep learning models for single image super-resolution (SISR)”

Paolo Trucillo | Foam production Award | Best Researcher Award

Published on 15/07/202415/07/2024 by Popular EngineerLeave a Comment

Assist Prof Dr Paolo Trucillo | Foam production Award | Best Researcher Award

Assist Prof Dr Paolo Trucillo, University of Naples Federico II, Italy

Paolo Trucillo, MSc, PhD, is a Senior Chemical and Process Engineer and currently serves as an Assistant Professor (RTDa) at the Department of Chemical Engineering, Materials and Industrial Production, University of Naples Federico II. His academic journey includes a PhD in Industrial Engineering from the University of Salerno, focusing on the production of liposomes using conventional and supercritical processes. Dr. Trucillo has extensive research experience in the areas of foam production, biofuels from biomass, extraction of precious metals, and the design of chemical plants using supercritical fluids. He has authored numerous publications in international journals and actively contributes to teaching and research in sustainable process design and technologies.

Publication Profile

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Experience

Paolo Trucillo’s career spans various academic and research roles, from his early studies to his current position as Assistant Professor at the University of Naples Federico II. His expertise lies in chemical industrial plants and processes, particularly in the production of foams for industrial applications and sustainability indicators for materials and processes. Dr. Trucillo has conducted research on biofuels, precious metals extraction, and the development of lab-scale chemical plants using supercritical fluids. He is dedicated to advancing knowledge in these fields through teaching and mentoring students, and his work has been recognized internationally through awards and publications.

Awards and Honors

Paolo Trucillo has received several prestigious awards, including the ISASF PhD Award for his outstanding doctoral thesis and the Editor’s Featured Article recognition from the Journal of Supercritical Fluids. He has also been honored with the AIDIC Award and various accolades for his contributions to chemical engineering research and innovation. Dr. Trucillo’s achievements extend to industry recognition, such as the Best Practices Award from Confindustria Salerno and multiple awards for his research presentations and entrepreneurial endeavors in chemical engineering and supercritical fluid technologies.

Research focus

Dr. Trucillo’s research focuses on advancing chemical industrial processes and sustainability through innovative technologies. His primary interests include the production of foams for industrial applications, biofuels from biomass, and the extraction of precious metals from waste materials. He specializes in using supercritical fluids to optimize chemical processes, particularly in the production of liposomes and nanomaterials for pharmaceutical and industrial applications. Dr. Trucillo’s work emphasizes sustainable process design and the development of efficient technologies for pollution control and energy sustainability. His research contributions have been published extensively in international journals, highlighting his commitment to integrating scientific advancements with industrial applications.

Publication Top Notes

Operative parameters optimization production of liposomes for the encapsulation of hydrophilic compounds using a new supercritical process

Encapsulation of Hydrophilic and Lipophilic Compounds in Nanosomes Produced with a Supercritical Based Process

Production of liposomes loaded with antioxidants using a supercritical CO2 assisted process

Supercritical assisted process for the encapsulation of olive pomace extract into liposomes

Supercritical assisted process for the efficient production of liposomes containing antibiotics for ocular delivery

Production of Solid Lipid Nanoparticles with a Supercritical Fluid Assisted Process

Vlad Mihai Mihaly | Control Engineering Award | Best Researcher Award

Published on 15/07/202415/07/2024 by Popular EngineerLeave a Comment

Dr Vlad Mihai Mihaly | Control Engineering Award | Best Researcher Award

Dr Vlad Mihai Mihaly,Technical University of Cluj-Napoca, Romania

Vlad Mihai Mihaly is a dedicated researcher and educator based in Sighişoara, Romania. He currently serves as a Teaching Assistant at the Technical University of Cluj-Napoca, specializing in System Theory and Identification. With a background spanning from software engineering at Robert Bosch GmbH to deep learning engineering at Devtel Software House, Vlad has honed his expertise in machine learning and signal processing applications. He holds a PhD in System Engineering and has excelled academically, achieving valedictorian status in both his Master’s and Bachelor’s degrees. Beyond academia, Vlad is deeply involved in mathematical education, having contributed to national and international Olympiads. His research interests lie in robust control synthesis and fractional-order systems.

Publication Profile

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Education

Vlad Mihai Mihaly earned his PhD in System Engineering from the Technical University of Cluj-Napoca, Romania, focusing on Fixed Structure Robust Synthesis for Nonlinear Systems. He graduated as valedictorian from both his Master’s in Advanced Process Control and Bachelor’s in Systems Engineering at the same institution. Prior to his academic achievements, Vlad completed his Mathematics and Computer Science diploma at the “Mircea Eliade” National College in Sighişoara, Romania. His academic journey reflects a commitment to excellence and innovation in control systems and automation.

Experience

Vlad Mihai Mihaly’s professional journey encompasses diverse roles in academia and industry. Currently a Teaching Assistant at the Technical University of Cluj-Napoca, he instructs courses in System Theory and Identification. He previously served as a Deep Learning Engineer at Devtel Software House, specializing in embedded applications for machine learning and signal processing. At Robert Bosch GmbH, Vlad contributed to autonomous driving technology, enhancing path detection algorithms through sensor fusion. His managerial experience includes leading educational initiatives at LEARNHOUSE and contributing to the National Mathematical Olympiad Committee. Vlad’s versatile career underscores his expertise in automation, control systems, and mathematical education.

Awards and Honors

Vlad Mihai Mihaly’s achievements include Best Student Paper at the RAAD2024 conference and a Gold Medal at the SEEMOUS competition. He has been recognized for his contributions to mathematical olympiads, winning accolades such as the Second Prize at the Open International Internet Mathematical Olympiad and multiple medals at the SEEMOUS and National Mathematical Olympiad competitions in Romania. Vlad’s dedication to excellence in research and education has earned him valedictorian honors in both his Master’s and Bachelor’s degrees at the Technical University of Cluj-Napoca. His academic prowess and commitment to advancing control systems and automation underscore his impact in the field.

Research focus

Vlad Mihai Mihaly’s research focuses on robust control synthesis, particularly in fixed structure designs for nonlinear systems. His work explores applications of fractional-order controllers and passivity-based approaches in improving system stability and performance. Vlad has contributed significantly to the field, with publications such as “Passivity of Linear Singularly Perturbed Systems” in IEEE Control Systems Letters and “Robust numeric implementation of the fractional-order element” in the Journal of the Franklin Institute. His research also spans areas like optimal sampling rate selection and controller design for mechatronic systems. Vlad’s contributions reflect a deep commitment to advancing control theory and its practical applications, particularly in enhancing the efficiency and robustness of engineering systems.

Publication Top Notes

Passivity of Linear Singularly Perturbed Systems

Robotic Platform for Position Control of a Ball

Robust numeric implementation of the fractional-order element

Sampling rate selection for multi‐loop cascade control systems in an optimal manner

Cascade Control for Two-Axis Position Mechatronic Systems

Sensitivity Analysis of Krasovskii Passivity-Based Controllers

Sampling Rate Optimization and Execution Time Analysis for Two-Degrees-of-Freedom Control Systems

μ-Synthesis FO-PID for Twin Rotor Aerodynamic System

Krasovskii Passivity and μ-Synthesis Controller Design for Quasi-Linear Affine Systems

Abdul Ghaffar Al Lafi | Analytical chemistry Award | Best Researcher Award

Published on 15/07/202415/07/2024 by Popular EngineerLeave a Comment

Prof Abdul Ghaffar Al Lafi | Analytical chemistry Award | Best Researcher Award

Prof Abdul Ghaffar Al Lafi , Atomic energy commission , Syria

Prof. Abdul Ghaffar Al Lafi, a prominent Syrian chemist, holds a PhD from the University of Birmingham, focusing on polymer electrolyte membrane fuel cells. He currently leads the Polymer Chemistry Division at AECS in Damascus, specializing in polymer synthesis, characterization, and advancements in green energy technologies. With a robust background in materials science and engineering, Dr. Al Lafi is dedicated to innovative research aimed at enhancing fuel cell efficiency and sustainability. His leadership and expertise contribute significantly to the development of advanced polymer materials for various applications in renewable energy and environmental conservation efforts.

Publication Profile

Scopus

Education

Abdul Ghaffar Al Lafi obtained his PhD in Metallurgy and Materials from the University of Birmingham, UK, concentrating on polymer electrolyte membranes for fuel cells. He earned an MSc in Polymer Engineering and Science with distinction from Aston University, UK, and completed his BSc in Applied Chemistry at Damascus University, Syria, graduating with first-class honors. His academic journey has equipped him with expertise in polymer synthesis, materials science, and engineering, laying a solid foundation for his career in advancing sustainable energy technologies and innovative applications of polymers in environmental and industrial settings.

Experience

Since 2002, Abdul Ghaffar Al Lafi has played a crucial role at the Atomic Energy Commission of Syria, progressing to Research Director and Head of the Chemistry Department. His tenure focuses on pioneering polymer synthesis, advanced materials characterization, and the development of sustainable energy solutions such as hydrogen systems and redox flow batteries. His leadership has significantly contributed to research initiatives aimed at enhancing the efficiency and environmental sustainability of energy technologies. Dr. Al Lafi’s expertise and strategic vision underscore his commitment to innovation in polymer science and its application to address contemporary energy challenges.

Awards and Honors

Prof Abdul Ghaffar Al Lafi has garnered prestigious honors, such as the Syrian National Award for Academic Excellence and recognition in Marquis Who’s Who in the World. He leads AECS’s Chemical Safety Committee and contributes to the Syrian Chemistry Olympiad Central Committee, demonstrating his leadership in chemical research and safety protocols. His accolades underscore his commitment to advancing the field of polymer chemistry and promoting sustainable practices. Dr. Al Lafi’s influential role in these committees highlights his dedication to fostering scientific excellence and ensuring the highest standards of safety and innovation within the chemical research community in Syria and beyond.

Research focus

Prof Abdul Ghaffar Al Lafi’s research encompasses polymer synthesis and characterization, employing advanced spectroscopic techniques. His primary focus includes the development of composite polymers for wastewater treatment, advancements in fuel cell technologies, and the application of spectroscopy for detecting food adulteration. Dr. Al Lafi is dedicated to sustainable practices, particularly in plastic waste recycling and the exploration of green energy solutions. His innovative approach aims to address environmental challenges while advancing the field of polymer science, emphasizing the importance of sustainable materials and technologies for a cleaner and more efficient future.

Publication Top Notes

A study on microwave-assisted chemical recycling of polyethylene terephthalate (PET) waste. Journal of Polymer Research 31, 41 (2024).

Silicone oils aided fabrication of paraffin wax coated super-hydrophobic sand: A spectroscopic study. Heliyon, 9 (10), e20874. 2023.

Spectroscopic investigations to reveal synergy between polystyrene waste and paraffin wax in superhydrophobic sand, Scientific Reports 13(1), 9810, 2023.

A study on the effects of thermal treatments and gamma rays irradiation on expired “Helixone” membranes (2023), Macromolecular Research.

Sulfonation of poly(ether ether ketone): An evidence for di-substitution of the repeat unit. Journal of Polymer Research 29, 434 (2022).

Application of 2D-COS-FTIR spectroscopic analysis to milk powder adulteration: Detection of melamine. Journal of Food Composition and Analysis, 113, 104720 (2022).

Crosslinking of poly (ether ether ketone) and its sulfonated form: A spectroscopic study. Journal of Polymer Research 29, 352 (2022).

The effects of pH on U(VI)/Th(IV) and Ra(II)/Ba(II) adsorption by polystyrene-nano manganese dioxide composites: Fourier Transform Infra-Red spectroscopic analysis. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 267, Part 2, 2022.

Hassan Alli | Industrial Design | Best Researcher Award

Published on 13/07/202413/07/2024 by Popular EngineerLeave a Comment

Assoc Prof Dr Hassan Alli | Industrial Design | Best Researcher Award

Assoc Prof Dr Hassan Alli , University Putra Malaysia, Malaysia

Associate Professor Dr. Hassan Alli is a Senior Lecturer at the Department of Industrial Design, Faculty of Design and Architecture, Universiti Putra Malaysia. With a PhD in Engineering Design from the University of Malaya, he has played pivotal roles including Head of Department and Deputy Dean. Hassan founded the Industrial Design program at UPM and authored numerous books and academic papers. His research spans new product development methodologies, innovation management, sustainable design, and SMART design strategies.

Publication Profile

Scopus

Education

Dr. Hassan Alli holds a PhD in Engineering Design from the University of Malaya, a Master’s in Automotive Design from Coventry University, UK, and a Bachelor’s in Industrial Design from University Technology MARA, Malaysia. His educational journey integrates engineering principles with design methodologies, enriching his insights into consumer products, furniture, and automotive industries.

Experience

Dr Hassan’s Alli career at University Putra Malaysia spans over two decades, beginning as a Tutor and advancing to Senior Lecturer and Associate Professor. His administrative roles include Head of Department and Deputy Dean, focusing on industry relations and program development. Hassan’s industrial experience as a designer for Malaysian firms complements his academic achievements, shaping his holistic approach to industrial design education and research.

Awards and Honors

Dr Hassan Alli has received multiple awards for his contributions to design education and research excellence. As an educator, he has been recognized for setting high teaching standards and fostering innovation among students. His consultancies include projects with Malaysian governmental bodies and international corporations, further showcasing his impact on the industry. Notably, Hassan’s involvement in foresight projects for Malaysia’s furniture industry underscores his influence in shaping future industry trends and practices.

Research Focus

Dr. Hassan’s research centers on advancing new product development through innovative methodologies, including design strategy, foresight, and sustainable practices. His expertise in SMART design and innovation management aims to enhance product marketability and sustainability across diverse industries. Hassan’s publications and consultations contribute significantly to the field of industrial design, addressing contemporary challenges and opportunities in product design and development.

Publication Top Notes

“A Weighted Fuzzy Approach for the Agility of Sustainable Product Development Process Assessment: A Case Study in Chinese Medium-sized Enterprises”

“A Current Design Approach for Ming Chairs”

“A Systematic Review of Research on Sitting and Working Furniture Ergonomic from 2012 to 2022: Analysis of Assessment Approaches”

“Preserving Zibo Cultural Heritage: Exploring the Symbolism, Visual Identity, and Conservation Efforts of the Fish Motif Pattern Design”

“GA Optimization-based BRB AI Reasoning Algorithm for Determining the Factors Affecting Customer Churn for Operators”

“The Trends of Potential User Research from 2014-2023 Based on Bibliometric and Bertopic”

“Crossover and Extension of Hand-drawn Map in Heritage Tourism: A Case Study”

“The Impact of User Preference and Perceived Value on Customer Satisfaction and Marketability at Traditional Handicraft Product”

“Optimal Measurement of Visual Transmission Design Based on CAD and Data Mining”

“A Thematic Review on Traditional Handicraft from Design Perspective Publications from 2002–2022: Analysis of Trends for Future Studies”

Yunsong Pang | Material Design | Best Researcher Award

Published on 13/07/202413/07/2024 by Popular EngineerLeave a Comment

Dr Yunsong Pang | Material Design | Best Researcher Award

Dr Yunsong Pang is an Assistant Research Fellow at the Shenzhen Institute of Advanced Electronic Materials, affiliated with the Chinese Academy of Sciences. He holds a PhD in Aerospace and Mechanical Engineering, along with MS degrees in Mechanical Engineering and Applied Mathematics and Statistics from the University of Notre Dame, USA. His expertise lies in developing chip-scale thermal interface materials, crucial for enhancing electronic component efficiency and reliability. As a recognized talent under Shenzhen’s high-level talent programs, Yunsong Pang continues to pioneer advancements in thermal management technologies.

Publication Profile

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Education

Yunsong Pang earned his bachelor’s degree in Thermal and Power Engineering from the University of Science and Technology of Liaoning. He pursued further education in the United States, completing a PhD in Aerospace and Mechanical Engineering, as well as master’s degrees in Mechanical Engineering and Applied Mathematics and Statistics at the University of Notre Dame. His academic journey has equipped him with a robust interdisciplinary background essential for his research in thermal interface materials and their applications in electronic systems.

Experience

Currently serving as an Assistant Research Fellow at the Shenzhen Institute of Advanced Electronic Materials, Yunsong Pang is deeply engaged in research focused on developing innovative thermal interface materials. He has been recognized as a Shenzhen Overseas High-Level C Talent and a Shenzhen Bao’an District High-Level Comprehensive Talent. His career path underscores a commitment to advancing technologies that optimize heat dissipation in electronic devices, thereby improving their performance and longevity through effective thermal management solutions.

Research Focus

Yunsong Pang’s research centers on designing and manufacturing thermal interface materials tailored for efficient heat dissipation in electronic components. His work addresses critical challenges in managing the thermal interface between chips and their surroundings, crucial for maintaining optimal operating temperatures and preventing overheating-induced malfunctions. By advancing these materials, he contributes to the development of more compact and powerful electronic systems capable of sustaining high performance under diverse operational conditions.

Publication Top Notes

“An Ultra-soft Thermal Diode”

“Grafted Alkene Chains: Triggers for Defeating Contact Thermal Resistance in Composite Elastomers”

“Compliant composite elastomers via grafting short dangling chains for promoting thermal transport performance”

“Soft, Tough, and Thermally Conductive Elastomer Composites by Constructing a Curled Conformation”

Role of Hydrogen Bonds in Thermal Transport across Hard/Soft Material Interfaces