جستجوی استاد راهنمای دانشگاهی

Patrick W. C. Hoمشاهده پروفایل

مدرس

• Memristor
• Non-volatile memories
• VLSI
• +۷ مورد دیگر

Dr. Patrick W. C. Ho is a Lecturer in the Department of Electrical & Computer Systems Engineering (ECSE) at Monash University Malaysia School of Engineering. He holds a PhD in Electronics Engineering from the University of Nottingham Malaysia Campus (2016), with research focusing on non-volatile FPGA architectures using memristors. His academic journey includes roles as a Scholarly Teaching Fellow and unit coordinator for courses like ECE2131 Electrical Circuits and ECE4063 Large Scale Digital Design. He has industry experience with Intel Microelectronics and Altera Corporation, alongside teaching A-level Physics at Methodist College Kuala Lumpur. Education: BEng (First Class Honours) in Engineering (2009) MSc in Science (2012) PhD in Electronics Engineering (2016) Research Interests: Dr. Ho specializes in memristor-based non-volatile memory systems, VLSI design, and FPGA architectures. His work bridges hardware design with emerging materials, as seen in his Q1 journal article on memristive LUTs. Collaborations with CAD-IT expand his focus into AI, image processing, and object recognition. Recent projects include studies on memristor substrate performance (2023–2026) and UAV communication reliability (2021–2024). Teaching and Industry Engagement: As ECSE’s Industrial Training Advisor and IAP representative, he actively connects academic curricula with industry needs. His teaching spans foundational engineering courses and advanced digital design modules. Labs and Collaborations: Active in CAD-IT partnerships for student FYP co-sponsorship. Research groups focus on nanotechnology, machine learning integration in UAV systems, and memristor material analysis.

• Microelectronics
• Microelectromechanical systems (MEMS)
• Compound semiconductors
• +۲ مورد دیگر

Dr. Faisal Mohd-Yasin is a Senior Lecturer in the School of Engineering and Built Environment at Griffith University, specializing in Electrical and Electronic Engineering. He has been with Griffith University since 2010, initially as a Lecturer (2010-2016) and promoted to Senior Lecturer in 2017. He is also a member of the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) since 2025. His research spans microelectronics, MEMS technology, compound semiconductors, and electronic sensors/instrumentation, with particular expertise in silicon carbide-based devices for harsh environments. Dr. Mohd-Yasin holds dual PhD qualifications: a Doctor of Philosophy (Engineering) from Multimedia University, Cyberjaya, Malaysia (2014) and a PhD in Engineering from Ibaraki University, Hitachi, Japan (2009). His educational background provides a strong foundation for his interdisciplinary research that bridges semiconductor physics, sensor technology, and electronic circuit design. His research interests focus on Microelectromechanical systems (MEMS), compound semiconductors (particularly $$ ext{SiC}$$), electronic sensors, and electronic instrumentation. He has made significant contributions to the development of silicon carbide MEMS devices for harsh environments, piezoelectric energy harvesters, and noise analysis in microelectronic systems. His work has important applications in sustainable cities (SDG 11), health and well-being (SDG 3), and clean energy (SDG 7). Analysis of his recent publications reveals a strong trend toward MEMS sensor technology, particularly silicon carbide-based devices for harsh environments, and noise analysis in piezoelectric sensors. His research also demonstrates a growing interest in engineering education, with several publications on practical electronics teaching methods. The publications span electrical engineering, sensor technology, energy harvesting, and engineering education, reflecting his interdisciplinary approach to research and teaching. Dr. Mohd-Yasin has successfully supervised multiple doctoral and masters students through completion, including Utkarsh Jadli (PhD on Parasitic Capacitances of Power Transistors), Siti Aisyah Zawawi (PhD on MEMS capacitive microphone), Mei Kum Khaw (PhD on magnetically actuated droplets), Abid Iqbal (PhD on AlN thin films), Noraini Marsi (PhD on MEMS pressure sensors), and Kai Meng Mui (Masters on Power management IC). He has also secured numerous research grants totaling over $1.5 million from various sources including Griffith University, Innovative Manufacturing CRC, IRU, and Malaysian research councils. He is actively involved in professional service as a peer reviewer for the IEEE Sensors Conference series (2015-2025), Micro and Nano Engineering Conference series (2009-2018), and the International Conference on Solid-State Sensors, Actuators and Microsystems (2018-2019). He is also a member of IEEE (Institute of Electrical and Electronics Engineers) since 1997. Dr. Mohd-Yasin's research is primarily conducted through the Queensland Quantum and Advanced Technologies Research Institute (QUATRI), where he collaborates with researchers working on advanced semiconductor technologies and quantum applications. His laboratory work focuses on MEMS fabrication, sensor characterization, and circuit design for harsh environment applications.

Ying Xuمشاهده پروفایل

پژوهشگر

• Neuromorphic Engineering
• Neuromorphic Auditory Systems and Applications
• Mixed-signal VLSI Design
• +۲ مورد دیگر

Dr. Ying Xu serves as a Researcher at the International Centre for Neuromorphic Systems (ICNS) within Western Sydney University, specializing in neuromorphic computing and hardware implementations. Her academic qualifications include: PhD from Western Sydney University (2019) M.Sc. in Microelectronics from Waseda University, Japan (2008) Bachelor of Electrical Engineering from Xidian University (2006) Her research focuses on biologically inspired computing systems with expertise in neuromorphic auditory processing , analog-digital circuit design , and hardware-accelerated machine learning . She bridges theoretical neuromorphic principles with practical VLSI implementations for next-generation computing architectures. Based at Western Sydney University's Penrith (Werrington South) campus in Room BA.2.01, she contributes to the ICNS research ecosystem advancing neuromorphic technologies through mixed-signal hardware solutions.

Nur Hazlizaمشاهده پروفایل

مدرس

• MEMS
• IoT
• Embedded Systems
• +۳ مورد دیگر

Nur Hazliza is a Lecturer in the Department of Common Engineering at the Malaysia School of Engineering, Monash University Malaysia. She holds a PhD in Electrical & Electronics Engineering from Universiti Kebangsaan Malaysia (UKM), completed in 2019, with a focus on MEMS-based true north determination. Her research has been recognized with awards, including the Islamic Innovation Challenge 2019 Gold Medal and a gold medal at the 2017 International Conference and Exposition on Inventions. She has over ten years of teaching experience, previously serving as Head of Tutor and Diploma Coordinator at UCSI University (2008–2015) and part-time lecturer at Segi University (2017–2018). Her expertise spans MEMS, IoT, embedded systems, control systems, robotics, and digital signal processing. Education: PhD (UKM, 2019), MSc Microelectronics (UKM, 2015), Bachelor of Electronics Engineering Technology (UniKL, 2008). Current Project: Leading as Chief Investigator in the 'Agriculture 4.0' project (2023–2025), focusing on digital twins and deep learning for agriculture. Her research trends emphasize sensor development, navigation systems (e.g., gyrocompassing), and applications in agriculture and food safety (e.g., honey adulteration detection). Recent articles highlight innovations in MEMS, optical fiber sensors, and machine learning. Awards: Islamic Innovation Challenge Gold Medal (2019), 2017 National Intellectual Property Awards finalist. Activities: Peer reviewer for journals like Spectrochimica Acta and Measurement , mentor for internships, and organizer of STEM programs like Long Pasia Solar STEM.

• Microelectronics
• RF Integrated Circuits
• Wireless Communication Systems
• +۳ مورد دیگر

Dr. Forest Zhu is a Senior Lecturer at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. His research focuses on microelectronics, RF integrated circuits, and power amplifiers for wireless communication and radar systems. He holds an ARC DECRA Fellowship (2016) and an ARC Future Fellowship (2023) and was recognized as Australia’s top researcher in Microelectronics (2022-2023). Education: B.Eng. and Ph.D. in Electronic Engineering (University of Hertfordshire, UK, 2005-2008) Postdoctoral roles at Aberystwyth University (2008-2009) and Macquarie University (2011-2016) Research: Specializes in analog/mixed-signal IC design, RF front-end circuits, and energy harvesting. Key contributions include low-power voltage references, mm-wave filters, and high-efficiency power amplifiers. His work spans 65nm to 45nm SOI CMOS technologies and has led to over 150 publications. Awards: ARC DECRA Fellowship (2016) ARC Future Fellowship (2023) Australia’s Top Microelectronics Researcher (2022-2023) Grants & Funding: Secured $3M+ from ARC and industry, including grants for GaN amplifiers, 5G/6G systems, and cryogenic characterization facilities. Notable projects include 'Digitally Assisted Power Amplifier Design' (2025-2027) and 'Space-Qualified Gallium Nitride Amplifiers' (2022-2023). Labs & Leadership: Member of UTS’s Global Big Data Technologies Centre. Editorial roles include Senior Associate Editor for IEEE Transactions on Circuits and Systems I, and Guest Editor for JETCAS (2024).

• Digital Microelectronics
• Computer Engineering
• Computer Arithmetic
• +۴ مورد دیگر

Associate Professor Braden Phillips is the Deputy Dean of Learning and Teaching in the Faculty of Sciences, Engineering and Technology at the University of Adelaide. He holds a joint appointment in the School of Electrical and Electronic Engineering. His academic career includes roles as a lecturer at Cardiff University (2000–2002) and founding partner of Current Dynamics, an electronic hardware design venture. Phillips specializes in digital microelectronics and computer engineering, with research focusing on computer arithmetic, cognitive computing architectures, and high-level digital logic synthesis. He has contributed to educational scholarship through work on active learning, scalable assessment, and inclusive pedagogy. His supervisory record includes over a dozen PhD students in areas spanning embedded systems, reconfigurable computing, and low-power design. Phillips’ research has been published in leading journals and conferences, addressing challenges in hardware optimization and algorithmic efficiency. Education: PhD in Computer Engineering (thesis: 'An Optimised Implementation of Public Key Cryptography for Smart Card Processors') Teaching: Coordinated courses in analog/digital electronics, embedded systems, and microelectronics design. Affiliations: Adelaide Education Academy, Diversity and Inclusion in Teaching Community of Practice. Research Themes: His work bridges hardware design and educational innovation, with recent emphasis on cognitive architectures and curriculum design. Key contributions include approximate computing methodologies, decimal floating-point arithmetic implementations, and minimal-weight digit conversion algorithms.

• Computer Engineering
• Field-Programmable Gate Arrays (FPGAs)
• Financial Engineering
• +۴ مورد دیگر

Professor Philip Leong is a faculty member at the University of Sydney's School of Electrical & Information Engineering, serving as Director of the Computer Engineering Laboratory. He holds a B.Sc., B.E., and Ph.D. from the University of Sydney. His academic career spans roles at institutions like the Chinese University of Hong Kong and industry collaborations with companies like ST Microelectronics and CruxML Pty Ltd. Research Interests: Leong specializes in FPGA-based solutions for high-performance computing, financial systems, medical monitoring (e.g., Parkinson's disease), and environmental forecasting. He pioneers applications in edge-based machine learning, low-latency systems, and hardware-software co-design. Key Projects : Radio Frequency Machine Learning Edge-based Training of Deep Neural Networks using FPGAs Awards : 2005 FPT Best Paper Award 2007 & 2008 FPL Outstanding Paper Awards Teaching: He instructs courses in embedded systems, computer architecture, and digital logic (e.g., ELEC3607, ELEC5741). His lab focuses on custom hardware and parallel software to address real-world challenges like financial risk modeling and climate prediction. Labs/Teams: Leads the Computer Engineering Lab, affiliated with The Net Zero Institute, Sydney Nano Institute, and the Charles Perkins Centre.

• Computer Architecture
• Microelectronics
• Nanoscale Technology
• +۹ مورد دیگر

Dr. Paul Beckett is an Honorary Associate Professor in the School of Engineering at RMIT University. His research focuses on cutting-edge areas such as computer architecture, nanoscale microelectronics, digital logic design, and photonics. He specializes in low-power circuit design, FPGA-based systems, and sensor technologies with applications in healthcare and environmental monitoring. Beckett's teaching interests include embedded systems, VLSI design, and hardware description languages (VHDL). His research spans disciplines such as electronics, communications engineering, and distributed computing, with notable contributions to null convention logic (NCL) circuits, plasmonic sensors, and spectral imaging systems. He has collaborated on innovative projects like the TIARA apnea monitoring system and wearable health technologies. His recent work emphasizes interdisciplinary applications, including healthcare technology and biomimetic optical systems. Notable publications include advancements in gas sensing (H2S detection), THz spectrum analysis, and machine learning optimization for embedded systems. Beckett actively supervises research projects in asynchronous computing architectures and nanotechnology.

Torsten Lehmannمشاهده پروفایل

دانشیار

• Solid-state circuits and systems
• CMOS circuits at cryogenic temperature
• Ultra low-power CMOS design
• +۶ مورد دیگر

Associate Professor Torsten Lehmann is a faculty member in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds the position of Associate Professor in Microelectronics and maintains an active research program focused on advanced circuit design for biomedical applications and cryogenic systems. His work spans multiple disciplines at the intersection of electronics engineering, biomedical technology, and quantum computing interfaces. Dr. Lehmann's research interests encompass several cutting-edge areas of microelectronics: Solid-state circuits and systems CMOS circuits at cryogenic temperature Ultra low-power CMOS design Bio-medical microelectronics Cochlear implants and vision prostheses High-performance analogue circuits in deep sub-micron CMOS His recent publication record demonstrates a strong focus on neural interfaces and optrode technology, with significant contributions to the development of optical neural stimulation and recording systems. Over the past five years, his research has increasingly concentrated on optrode arrays, biopotential sensing, and charge-balanced stimulation techniques for neural applications. His work bridges the gap between traditional electronic circuit design and emerging biomedical applications, particularly in vision and hearing prostheses. A consistent theme throughout his publications is the development of specialized circuits for challenging environments, whether ultra-low temperatures for quantum computing or implantable medical devices requiring extreme power efficiency. Dr. Lehmann has made significant contributions to the field of microelectronics for biomedical applications, particularly in the development of circuits for vision prostheses and neural stimulation systems. His work on cryogenic circuits for quantum computing interfaces represents an important bridge between traditional electronics engineering and emerging quantum technologies. His research group appears to be actively involved in several collaborative projects related to neural engineering and biomedical implants, working with colleagues across UNSW and with clinical partners. The lab likely focuses on the design and testing of specialized integrated circuits for challenging applications where conventional electronics face significant limitations.

Victor Bong Nee Shinمشاهده پروفایل

مدرس ارشد

• Nanoscale Heat Conduction
• Building Information Modelling
• Sustainable Built Environment
• +۱ مورد دیگر

Dr. Victor Bong Nee Shin serves as Senior Lecturer at Swinburne University of Technology's Faculty of Engineering, Computing and Science (Sarawak Campus), specializing in nanoscale thermal physics and sustainable building technologies. His dual expertise bridges fundamental semiconductor research with practical Building Information Modelling applications for green construction. His educational credentials include: Bachelor of Engineering (First Class Honors) in Mechanical Engineering, Swinburne University of Technology PhD in Mechanical Engineering, Swinburne University of Technology (Thesis: 'Fundamental Study of Heat Transport by Phonons and Electrons in Semiconductors at Micro and Nanoscale') Research focuses on three interconnected domains: nanoscale heat conduction mechanisms in semiconductors, BIM-driven sustainable building assessment, and HVACR system optimization. His thermal physics work investigates phonon-electron interactions at micro/nanoscales using advanced Monte Carlo simulations, while his building engineering research develops practical BIM tools for water efficiency and Green Building Index certification in Malaysian contexts. This unique combination addresses both fundamental scientific questions and industry implementation challenges in sustainable construction. Publication analysis (2014-2020) reveals strong methodological continuity in computational thermal modeling, with increasing industry application focus post-2016. The research trajectory shows strategic evolution from pure nanoscale physics toward integrated BIM solutions for sustainable built environments, reflecting growing industry engagement. Key recognitions include: Highly Commended – Swinburne Vice-Chancellor’s Engagement Award (Industry Engagement) 2019 Best Paper Award in Physics and Materials Symposium, ICASIT 2015 Research leadership includes active supervision of postgraduate students and industry-collaborative projects funded through Swinburne's engagement initiatives. His CIDB BIM Trainer certification and MyCREST Facilitator qualification enable direct industry knowledge transfer. As ASHRAE Student Branch Advisor and IEM committee member, he maintains strong professional networks that inform both research direction and student opportunities. His work bridges academic research and industry practice through dual-track contributions: advancing fundamental understanding of nanoscale thermal transport while developing practical BIM applications for Malaysia's green building sector. Current initiatives focus on automating sustainability assessments through integrated digital workflows.