Electronics and Electrical Engineering

Bochen Ye is currently a first-year PhD student at the Centre for Electronics Frontiers, University of Edinburgh. Before that, he received his Master degree in Eletrical Engneering from Eindhoven University of Technology(TU/e), Netherlands in 2024 and Bachelor degree in Integrated Circuit Design and Integrated Systems from Hefei University of Technology(HFUT), China in 2022. He was a intern at NXP Semiconductor and Intrinsic ID(now part of Synopsys).

PhD student in Engineering - UoE, UK, Now

M.S.(ir.) in EE - TU/e, NL, 2024

B.Eng. in IC design - HFUT, China, 2022

Bochen's research focuses on designing digital hardware acceleration systems for large-scale AI models using novel architectures, aiming to overcome memory and computational bottlenecks. His work emphasizes efficient dataflow, high-performance accelerators, and energy-efficient AI systems on digital ASIC chips. His current focus is on advancing hardware accelerators for LLMs, VLMs, and generative AI to enable next-generation intelligent computing.

Soft Systems Group website

• BEng(hons), MRes, PhD

• Member of the Royal Society of Edinburgh Young Academy of Scotland (MYAS)

• Programme Director: MSc Electronics

https://elliotjcrowley.com

• DPhil Engineering Science, University of Oxford
• MEng Engineering Science, University of Oxford

• Machine Learning and Data Analysis
• Programming Skills for Engineers
• Signals and Communications Systems 2 

• Simplifying machine learning
• Automated machine learning
• Low-resource deep learning
• Engineering applications of machine learning

Dr Julianna Panidi is a Chancellor’s Fellow/Lecturer in n Climate and Environmental Sustainability at the Institute for Integrated Micro and Nano Systems at the School of Engineering. Before she was an EPSRC David Clarke Fellow in the Department of Chemistry at Imperial College London. She is a Fellow of the 2024 European Talent Academy and a Fellow of the Higher Education Academy, and she has been a Mental Health First Aider for over 9 years.

Julianna obtained her PhD in 2020 from Imperial College London, Department of Physics, part of the Plastic Electronics CDT. Additionally, she holds an MRes in Physics and Nanomaterials (2015) from the University of Pierre and Marie Currie in Paris, France. In 2014, she completed her BSc in Materials Science at the University of Patras in Greece.

Accepting PhD applications.

• Chancellor's Fellow, 2024, University of Edinburgh

   

• Fellow of the 2024 European Talent Academy, Imperial

   

• Postdoctoral EPSRC Fellowship, 2022

   

• David Clarke EPSRC Fellow, 2022

   

• co-Chair of the People & Culture Committee at the School of Engineering, UoE, since 2025
• Member of the Athena Swan SAT, UoE, since 2025
• Fellow of the Higher Education Academy, 2023
• Member of the Royal Society of Chemistry, 2022

• Professional Issues 4
• Cohort Lead Year 5

Her research focuses on developing high-performing and eco-friendly solution-processed electronics, such as thin film transistors, sensors, and solar cells. She has studied methods to enhance the optoelectronic properties of the materials and the devices. During her DCF fellowship, she was focusing on sustainable solution-processed solar cells, primarily focusing on materials, methods, and solvents used during manufacturing.

Google Scholar

Dr Chang Liu received the B.Sc. degree in automation from Tianjin University, China, in 2010, and the Ph.D. degree in testing, measurement technology and instrument in Beihang University, China, in 2016. From April 2016 to January 2018, he was a postdoctoral researcher in the department of air pollution and environmental technology, Empa-Swiss Federal Laboratories for Materials Science and Technology (ETH Domain), Dübendorf, Switzerland. He is now a Senior Lecturer in the Agile Tomography Group at the School of Engineering, University of Edinburgh.

Dr Liu’s current research interests include laser spectroscopy, laser imaging, data-driven imaging techniques and their applications to reacting flow-fields diagnostics and environmental monitoring. His expertise is in design of near/mid infrared LAS sensing systems, and development of high-sensitivity and data-driven laser imaging methodologies. It covers fundamental spectroscopic modeling, inverse problem solving, machine learning, hardware acceleration, signal processing and embedded system. In collaboration with worldwide industrial and academic partners, Dr Liu and his team focus on providing cutting-edge laser-based sensing solutions for various challenging problems in both the industry and academia.

• 2016 Doctor of Philosophy (Ph.D.), School of Instrumentation and Opto-Electronic Engineering, Beihang University, Beijing, China.
• 2010 Bachelor of Science (B.Sc.), School of Electrical Engineering and Automation, Tianjin University, Tianjin, China

• IEEE Senior Member

• Digital System Design 4 (ELEE10007)
• Analogue Circuits 3 (ELEE09026)
• Digital System Design and Digital Systems Laboratory 3 (ELEE09035)
• Digital System Design 2 (ELEE08015)

• Data-driven imaging towards high spatial/temporal resolution
• Cutting-edge laser-based sensing solutions
• Sensor design for ultra-weak optical and electrical signals detection
• Embedded system design and hardware/software interface

Research Opportunities

Ph.D. scholarships

• Edinburgh Global Research Scholarship
• Principal's Career Development PhD Scholarships
• Carnegie PhD Scholarships
• China Scholarships Council/University of Edinburgh Scholarships

Information on funding opportunities and tuition fees can be found here.

Postdoctoral Research Associate (PDRA)

• EPSRC Fellowships
• Newton International Fellowships
• Marie Curie Individual Fellowships
• Fellowships and Engineering for Development Research Fellowships (Royal Academy of Engineering Research)