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Welcome

I’m Dr. Dani S. Assi

Educator, Scientist, and 100% Nerd.

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FOCUSNeuromorphic Computing
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Dr. Dani Samer Assi
RoleAssistant Professor
UniversityHong Kong Metropolitan University
SchoolScience & Technology
DepartmentElectrical Engineering and Computer Science
Based inHong Kong
Nationality🇵🇱 Polish & 🇱🇧 Lebanese
About

Biography

I'm Dr. Dani Samer Assi, an Assistant Professor at Hong Kong Metropolitan University.

My research focuses on advanced materials, neuromorphic electronics, and quantum technologies, with particular interests in artificial synaptic systems, brain–computer interfaces, and plasmonic sensing. The goal is to translate device‑level innovation into intelligent and biomedical technologies with real‑world relevance.

I joined HKMU as a Lecturer in January 2024 after completing my PhD in Electrical and Electronic Engineering at the University of Glasgow on a full scholarship. Alongside research, I care deeply about creating engaging, student‑centred learning experiences.

My work has appeared in journals including Advanced Materials, Advanced Science, ACS Nano, and Materials Horizons, and has received Editors' Choice recognition and coverage by Advanced Science News.

Teaching is equally important to me. I received HKMU's President's Award for Excellence in Inspirational Teaching and contribute to university‑wide learning and teaching initiatives as a Learning and Teaching Evangelist.

Explore my research Explore my teaching
Education
PhD
Electrical & Electronic Engineering — University of Glasgow, UK (Top 100 Universities) · full scholarship
MSc
Biomedical Engineering — University of Glasgow, UK (Top 100 Universities) · full scholarship
BSc
Biomedical Engineering — Lodz University of Technology, Poland & Instituto Superior de Engenharia do Porto, Portugal · Rector's Scholarship
Professional memberships
IEEE↗ IET↗ ACS↗ IOP↗ IEEE Engineering in Medicine & Biology Society↗ IEEE Photonics Society↗ IEEE Electron Devices Society↗ IEEE Solid‑State Circuits Society↗ IEEE Computational Intelligence Society↗
Research Interests
Engineering the next synapse.

My research connects materials science, device physics, neuromorphic electronics, and biomedical sensing. I am interested in how emerging quantum and functional materials can be engineered into ultra‑low‑power devices that learn, remember, sense, and interact with biological systems.

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Citations
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h‑index
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SCI‑indexed articles
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Patents filed/submitted
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Secured as PI
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Invited keynotes
Research Directions
Pillar 01
Materials & Physics

Quantum & Functional Materials

Engineering material platforms whose electronic and ionic behaviour can unlock new device functions. Current interests include topological insulators and halide perovskites for next‑generation electronic and photonic systems.

Topological insulators Quantum materials Device materials
Pillar 02
Brain‑Inspired Hardware

Neuromorphic Electronics

Designing artificial synaptic devices and Quantum Topological Neuristors that reproduce key features of biological learning — including memory, forgetting, plasticity, and re‑learning — while targeting dramatically lower energy consumption.

Artificial synapses Neuristors Synaptic plasticity
Pillar 03
Systems & Translation

Neurotechnology & Biomedical Sensing

Translating novel devices into systems with human relevance — from brain–computer interfaces and wearable cognitive‑health technologies to emerging plasmonic sensing platforms for highly sensitive biomedical detection.

Brain‑computer interfaces Cognitive health Plasmonic sensing
Selected Publications
First page of Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain‑Computer Interface
First authorEditors' Choice

Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain‑Computer Interface

Advanced Materials (IF 27.4) — Discovered that Bismuth Selenide Telluride (Bi₂Se₂Te) can serve as a highly effective quantum topological insulator, forming the core of a new class of neuroelectronic synaptic modulators. Unlike conventional devices, these modulators operate at ultra‑low power with long‑term stability, and were shown to modulate EEG responses in real time — consistent with improved cognitive outcomes in elderly individuals, pointing toward applications in Alzheimer's and Parkinson's intervention. Featured by Advanced Science News (Wiley).

Brain‑Computer Interface Quantum switching Neuroelectronic device
DOI: 10.1002/adma.202306254 ↗
First page of Quantum Topological Neuristors for Advanced Neuromorphic Intelligent Systems
First author

Quantum Topological Neuristors for Advanced Neuromorphic Intelligent Systems

Advanced Science (IF 14.1) — Developed Quantum Topological Neuristors (QTNs), a new class of artificial synapse built on an SnSe‑based quantum topological insulator family (SnSe, SnTe, SnSeTe) that mimic short‑ and long‑term memory, learning, forgetting, and re‑learning. QTNs operate at roughly 90× lower energy than conventional Si‑CMOS neuromorphic circuits, demonstrated in a real‑world hand‑gesture recognition system.

Neuromorphic computing Quantum neuristors Ultra‑low power
DOI: 10.1002/advs.202300791 ↗
First page of Low Switching Power Neuromorphic Perovskite Devices with Quick Relearning Functionality
First author

Low Switching Power Neuromorphic Perovskite Devices with Quick Relearning Functionality

Advanced Electronic Materials (IF 5.3) — Showed for the first time that the CsFAPbI₃ perovskite system can be engineered to exhibit brain‑like synaptic plasticity — learning, forgetting, and fast re‑learning — under ultra‑low switching power, addressing a major energy bottleneck in neuromorphic hardware.

Perovskite devices Synaptic plasticity Low‑power switching
DOI: 10.1002/aelm.202300285 ↗
First page of Decoding Halide Perovskites for Neuromorphic and Memristive Devices
Shared first author

Decoding Halide Perovskites for Neuromorphic and Memristive Devices

Materials Horizons (IF 10) — Co‑led a field‑shaping review decoding halide perovskites as a materials platform for neuromorphic and memristive devices, linking composition, defect chemistry, and device architecture to synaptic performance — setting out a design roadmap for the next generation of perovskite‑based artificial synapses.

Halide perovskites Memristive devices Neuromorphic materials
DOI: 10.1039/D5MH00534E ↗
Research in News
Advanced Science News

"A Brain‑Computer Interface Could Slow Cognitive Decline"

Featured research (Wiley) — coverage of neuroelectronic synaptic modulator work and its potential impact on gerontechnology and cognitive health.

Read the feature ↗
Research Supervision
Postdoc
Dr. Muhammad Rizwan2025 – ongoing
PhD Students
Sudha Thakur2025 – ongoing
Weiling Li2026 – ongoing
Research Assistant
Grigorii Kokotkin2025 – ongoing
Ash Sundar (Former)2024 – 2025

Open to PhD students, postdocs, and research collaborators.

Interested candidates are encouraged to reach out with a CV and a note on research interests.
Get in touch →

Teaching & Mentorship

Teaching for confidence,
curiosity & real‑world impact.

I design learning experiences that make complex ideas feel approachable, practical, and worth exploring. My goal is not simply to help students pass a course — it is to help them understand deeply, ask better questions, and build the confidence to use what they learn.

Understand it. Apply it. Own it.
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Courses redesigned/developed
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Completed FYPs
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Students mentored
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Competition‑coached
0
PI teaching enhancement funding
01
Leadership · 2025–2027

Learning and Teaching Evangelist

At HKMU, I contribute to the advancement of teaching practice across the University — sharing approaches to student engagement, educational innovation, and effective learning design.

Hong Kong Metropolitan University
02
Recognition · 2024

President's Award for Excellence in Inspirational Teaching

Recognised for creating engaging, inclusive, and student‑centred learning experiences that encourage participation, confidence, and a genuine interest in learning.

Teaching Excellence
Teaching philosophy

Student‑Centered Differentiated Instruction

Moving beyond a one‑size‑fits‑all format, I design layered learning resources for different learning styles — visual supports (diagrams, infographics, short videos), guided conversational recordings for self‑paced review, and hands‑on tutorial tasks connecting theory to real‑world scenarios. Simplified bullet‑point summaries for every lecture and tutorial further support students facing language barriers, so every student has a workable path to understanding.

Scaffolding: Building Students' Confidence Through Incremental Learning

Complex topics are broken into manageable stages and introduced step by step, so students engage with new material without feeling overwhelmed. In HCI/UX, this means starting from user‑centred design fundamentals before layering in usability evaluation and case studies; in Computing Fundamentals, from basic architecture and programming before progressing to more complex scenarios — letting students master concepts at their own pace and build confidence for advanced topics later in the course.

Fostering Curiosity: Encouraging Students to Ask Questions

From the first lecture, I remind students that not knowing the basics is completely normal — that's what they're there to learn. Students can send questions individually before class, which I address anonymously during the session, normalising questioning for everyone. Weekly consultation hours (4–6h) give a further safe channel for one‑to‑one or small‑group discussion and deeper clarification.

Experimental and Collaborative Learning Using E‑Learning Tools

At the end of lectures on challenging topics, I use the e‑learning tool Quizzzy for an interactive, low‑stakes summary — closer to a fun recap than a real test. It also acts as a feedback mechanism, highlighting exactly where students are still struggling so I can revisit and clarify that material the following week, reinforcing retention and confidence.

Revision‑Based Learning and Pre‑Exam Support

Before each exam, full lectures are dedicated to revision, structured around Quizzzy results, student‑submitted questions, and consultation‑hour insights. A further 2‑hour weekend Zoom session offers an open forum for final questions and reassurance, so students go into exams feeling prepared and calm rather than anxious.

Teaching evaluation
IT 1020SEF
2025
Lecture
4.83
Tutorial
4.83
IT 1020SEF
2024
Lecture
4.79
Tutorial
4.79
IT 2900SEF
2026
Lecture
4.80
Tutorial
4.80
IT 2900SEF
2025
Lecture
4.63
Tutorial
4.80
IT S290F
2025
Lecture
4.54
Tutorial
4.54
IT S290F
2024
Lecture
4.63
What students say

The lecturer is very interactive with students in class, which makes the class very interesting and easy to understand.

IT 1020SEF, 2025

Teacher is enthusiastic, helpful, provides a lot of help and feedback whenever needed.

IT 1020SEF, 2025

Dani is good. We all love Dani.

IT 2900SEF, 2025

His willingness to book time with students for extra support and clearance of any doubts.

IT 2900SEF, 2025

Best teacher ever — very friendly and approachable, and helps me a lot with my studies.

IT 1020SEF, 2024

Clear thinking, humor, and strong professional knowledge make me full of confidence in the course.

IT 1020SEF, 2024

Patient and meticulous — the classes are lively and engaging.

IT 1020SEF, 2024 (translated)

Very willing to help me understand the concepts listed in this course.

IT S290F, 2024 (translated)
Student‑Centered Learning Environment
PI · HK$1,948,385.2

Quality Enhancement Measures (QEM) Project — Q‑Platform

As Principal Investigator of the Q‑Platform project — "Fostering Next‑Generation Quantum Education with a Student‑Centered Quantum Learning Platform" — I built a hands‑on learning ecosystem that brings quantum technology out of the textbook and into practice. Rather than teaching quantum concepts as abstract theory, the platform gives students a genuine, practical route into an emerging field.

Hands‑on workshop space: a dedicated environment for lab‑based, experiential quantum‑technology activities.
VR‑supported learning resources: immersive materials that make abstract quantum concepts tangible.
Industry‑engaged activities: connecting learning outcomes directly to real‑world expectations and applications.
Q-Platform logo
FYP Supervision
2025
  1. Chau Yue Ting
  2. Chung Wing Nin
  3. Yam Kok Hon
  4. Yao Yi Tong
  5. WANG Zhaohua
  6. Yau Wa Kin
  7. Yeung Kwok Fei
  8. Wang Zihao
  9. Tang Karg Long
  10. Ching Tsz Fung
  11. SHAH Pooja ZenitBest Project Award
  12. KE YankaiBest Project Award
  13. LI XilinBest Project Award
  14. FU YuhaoBest Project Award
  15. Chow Hang Tat
  16. Yung Chun Kwok
  17. Wong Kam Fat
2024
  1. Chan Sze YuenBest Project Award
  2. Fung Yin HoBest Project Award
  3. Kwok Wing YanBest Project Award
  4. Sukhjit‑Singh
  5. Limbu Utsab
  6. Arvie Adrian S. Bautista
  7. Chan Chak ShingBest Project Award
  8. Chow Hong NinBest Project Award
  9. Chu Cheuk SangBest Project Award
  10. Chan Kwun OnBest Project Award
  11. Leung Yu Sun
  12. Lin Ho Fung
  13. Tong Yuyang
  14. Li Tung Hon
Curriculum development
Full‑time

Course redesign

IT1020SEF and IT2900SEF.

Distance learning

Course redevelopment

IT S234 / IT2340SED.

Ongoing

Computer Science Programme

Contributing member for programme development, delivery, and QA student mentorship.

Ongoing

Outreach curriculum

Age‑appropriate STEM courses and hands‑on activities for Girls STEMergy (Zubin Foundation).

Competition coaching
2026

Huawei ICT Competition

2nd Prize & 3rd Prize

2025

Huawei ICT Competition

3rd Prize

Exchange student leadership
19–26 May 2025

Study Tour to Poland

"Shaping Tomorrow's Innovation and Technology in the Heart of Europe" — GLA‑funded experiential learning programme connecting classroom concepts to real‑world technology practice.

11–18 Aug 2025

Shenzhen University Exchange Programme

"Wenshan Lakeside Innovation: Practical Camp on Resistive Memory Chips" — international innovation and research immersion building intercultural communication and professional confidence.

Open to new teaching collaborations and student mentorship opportunities — get in touch →

Funding & Grants

Turning ambitious ideas
into funded research.

My funding portfolio spans neuromorphic systems, plasmonic sensing, biomedical diagnostics, quantum education, AI‑enabled sensing and interdisciplinary technology development — supporting work from fundamental discovery through to real‑world application.

Neuromorphic systems Plasmonic sensing Biomedical diagnostics Quantum education AI‑enabled sensing
Research funding portfolio
HK$0M+
Total secured as Principal Investigator and Co‑Investigator. A portfolio built across competitive external schemes, institutional research programmes, educational innovation and interdisciplinary collaboration.
HK$0M+
Secured as Principal Investigator
excl. matched donations
HK$0M+
Secured as Co‑Investigator
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PI‑led funded projects
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Collaborative Co‑I projects
Grants as Principal Investigator
PI · 01.01.2026 – 30.12.2027
External

Topological Insulators‑Based Surfaces as a Novel Platform for Enhanced Surface Plasmon Resonance Sensing

Research Grants Council, Faculty Development Scheme (RGC FDS) — HK$593,000

PI · 16.12.2024 – 15.12.2026
External

Detection and Analysis of DNA Methylation in Urine Samples

UGC Research Matching Grant Scheme — HK$447,500 + HK$1,790,000 matched donation

PI · 01.10.2026 – 01.09.2028
External

Development of a Brain‑Inspired Neuromorphic System for Detection and Analysis of Alzheimer's Disease

UGC Research Matching Grant Scheme — HK$738,360 + HK$2,109,600 matched donation

PI · 01.05.2025 – 30.04.2027
Internal

High‑Efficiency Neuromorphic Devices for Brain‑Computer Interfaces

Seed Funding, Shenzhen Research Institute (SZRI) — RMB 1,000,000

PI · 01.03.2025 – 01.03.2027
Internal

Fostering Next‑Generation Quantum Education with Student‑Centered Quantum Learning Platform (Q‑Platform)

Quality Enhancement Measures (QEM) — HK$1,948,385.2

PI · 28.11.2024
Internal

Study Tour to Poland 2025: Shaping Tomorrow's Innovation and Technology in the Heart of Europe

Global Learning Activities (GLA) — HK$749,700

PI · 01.12.2024 – 30.05.2026
Internal

Development of High‑Efficiency Artificial Synaptic Devices for Wearable Neuromorphic Sensing

Research and Development Fund — HK$200,000

Grants as Co‑Investigator
Co‑I · 02.06.2025 – 01.06.2027
External

Advanced Integration of Millimeter Wave Radar with Passive RFID Using AI‑Enhanced Detection

Innovation and Technology Fund (ITF) — HK$3,071,058.24

Co‑I · 01.09.2025 – 30.04.2027
Internal

Functional Graphene‑Loaded Intelligent Energy‑Saving Device

Shenzhen Research Institute (SZRI) — RMB 1,000,000

Co‑I · 01.01.2025 – 31.01.2026
Internal

Service Learning × Design Thinking: Harnessing Empathy Through Technology

Quality Enhancement Measures (QEM) — HK$582,052

Open to new collaborative and co‑investigator funding opportunities — get in touch →

Service & Leadership

Building communities, partnerships & opportunities.

I see academic leadership as more than holding a title. It is about creating the conditions for people, ideas, and collaborations to thrive — across the university, professional communities, student initiatives, and industry.

University Profession Community Industry
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Student activities led
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Research societies
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Technical communities
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Journal reviewer roles
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Invited keynote talks
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Industry advisory roles
Leadership in action

Four areas where I contribute time, expertise, and leadership beyond my core research and teaching responsibilities.

01
University

Institutional leadership

Shaping learning, infrastructure, international engagement, and the student experience within HKMU and EECS.

  • Learning & Teaching Evangelist — Hong Kong Metropolitan University 2025–2027
  • Co‑Leader, EECS Infrastructure & Lab Setup Taskforce — shaping teaching and research laboratory facilities.
  • Co‑Leader, EECS International Collaboration Taskforce — developing international academic partnerships.
  • Leader, EECS International Student Club — supporting international student community and integration.
  • Leader, Shenzhen Exchange Programme Aug 2025 — leading student exchange and industry‑engaged learning at HKMU Shenzhen.
  • Member of the HKMU‑SZRI School Team, Student Engagement Taskforce, School Board, and Computer Science Programme.
02
Profession

Academic & professional service

Contributing to the wider research community through peer review, professional networks, conferences, and knowledge exchange.

  • Member of 9+ research societies across neuromorphic engineering, materials science, and biomedical devices.
  • Member of 12+ technical communities across neuromorphic engineering, materials science, and biomedical devices.
  • Peer reviewer for 8+ international journals.
  • Conference committee member — ICABIOT, NCAA, and ICCI.
  • Volunteer, IEEE ED/SSC Hong Kong Chapter.
  • 9+ invited keynote talks, communicating neuromorphic and quantum‑device research to academic and public audiences.
  • 3+ research expos, communicating neuromorphic and quantum‑device research to academic and public audiences.
03
Community

Students & social impact

Using education, mentoring, and public engagement to create opportunities for students and communities beyond the classroom.

  • Honorary Advisor, Girls STEMergy — The Zubin Foundation, supporting STEM curriculum design for ethnic‑minority girls aged 8–12.
  • Panel Judge, Young Professionals Exhibition.
  • Mentor of external students across research, engineering, and innovation activities.
  • 30+ student activities led, connecting students with international, professional, and experiential learning opportunities.
  • 8+ HKMU speaking and hosting roles as MC, keynote speaker, presenter, and university representative.
04
Industry & Global

Advisory & partnerships

Bridging academic expertise with applied technology, industry needs, and international collaboration.

  • Scientific & Technical Advisor, Rafael Biotech Ltd — biomedical devices and sensing technology.
  • Scientific & Technical Advisor, CogniCare Ltd — neurotechnology and cognitive‑health applications.
  • Scientific & Technical Advisor, FR International Ltd — biomedical equipment.
  • Industry‑partnered FYP with UP Innovations Limited 2025 — AI/IoT‑enabled rehabilitation game development.
  • International partnerships across the UK, Spain, Poland, India, and China, supporting co‑authored research and competitive funding.

Open to new advisory, leadership, and community partnership opportunities — get in touch →

Honours & Recognition

Recognition for ideas,
impact & inspiration.

Recognition across teaching, research, public engagement and academic achievement — from university‑level teaching excellence and international research recognition to competitive awards and scholarships.

Signature honours
01
University Appointment · 2025–2027

Appointed as Learning and Teaching Evangelist

Hong Kong Metropolitan University (HKMU) — appointed to promote innovative teaching practices, enhance student engagement, and support pedagogical development across the University. Learning and Teaching Evangelists are nominated by their School's Dean and appointed by the Provost to champion excellence in pedagogy and educational technology, disseminating effective teaching practices and sharing experience through HKMU's Office for the Advancement of Learning and Teaching.

02
Teaching Excellence · 2025

President's Award for Excellence in Inspirational Teaching

Hong Kong Metropolitan University — awarded in recognition of a commitment to creating engaging, inclusive, and student‑centred learning experiences. The award reflects a dedication to inspiring students, encouraging active participation, and continuously developing innovative approaches to teaching and learning.

03
Community Engagement · 2024

Award of Excellence — Girls STEM Program Development

In recognition of dedication, leadership, and outstanding contribution to Girls STEM Program development. Represented Hong Kong Metropolitan University (HKMU) in the STEM workshops for ethnic minority girls, "Girls STEMergy," organized by The Zubin Foundation — a program aimed to inspire and empower young girls aged 8 to 12 through engaging STEM education. Developed and delivered age‑appropriate electronic and electrical engineering courses and lesson plans, blending core theoretical concepts with hands‑on experiments and practical demonstrations in a fun, accessible format to build confidence and curiosity in STEM.

04
Media Feature · 2024

Featured in Advanced Science News, Wiley

Research on Neuroelectronic Synaptic Modulators was featured in Advanced Science News (Wiley) under the headline "A Brain‑Computer Interface Could Slow Cognitive Decline." This recognition underscores the significance of the research and its potential to drive real‑world advancements in Gerontechnology — paving the way for novel treatments for cognitive decline and neurological disorders, with potential to enhance quality of life for aging populations and individuals affected by neurodegenerative diseases.

Read the feature ↗
05
Research Recognition · 2024

Recognition as Editors' Choice — Advanced Materials Journal (IF 27.4)

"Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain‑Computer Interface" (first author, Advanced Materials 2024, 2306254) was selected as an Editors' Choice — a distinction awarded to research of exceptional innovation and impact. This recognition by the journal's editorial board highlights the groundbreaking contributions of this work and its significance in advancing neuroelectronics and brain‑computer interface technologies.

06
Competition Winner · 2023

Winner — 3 Minute Thesis (3MT) Competition

University of Glasgow — presenting research on "Fountain of Youth" (Synaptic Plasticity research).

Watch my presentation ↗ Watch the full competition ↗
07
Media Feature · 2018

Featured in the Technical and Information Bulletin (News), SEP

Association of Polish Electrical Engineers — for innovative BSc research on Medical Electronics Systems.

08
Academic Distinction · 2018

Distinction — Best Engineering Diploma Project

Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology — presenting research on Medical Electronics Systems.

Scholarships & academic distinctions

Academic achievement backed by competitive scholarships.

Scholarship support accompanied each stage of my academic journey, from undergraduate engineering through postgraduate study and doctoral research.

BSc → MSc → PhD
2020–2023

Full Scholarship — PhD

University of Glasgow, UK

2018–2019

Full Scholarship — MSc

University of Glasgow, UK

2014–2019

Rector's Scholarship for the Best Students — BSc

Lodz University of Technology, Poland

2018–2019

Full Scholarship — BSc

Instituto Superior de Engenharia do Porto, Portugal

Recognition matters most when it reflects
work that moves people, ideas and technology forward.

Selected Output

Ideas translated into
papers, patents & impact.

My research output spans neuromorphic electronics, quantum and functional materials, biomedical sensing, wearable systems and advanced device engineering — with a focus on translating materials innovation into intelligent and clinically relevant technologies.

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Citations
0
h‑index
0
i10‑index
0
SCI‑indexed articles
0
Patents filed/submitted
Articles
Co‑author

Fabrication of self‑doped TiO2‑coated zeolite nanostructure with high surface area for efficient photocatalytic degradation of organic contaminant

Materials Science and Engineering: B (IF 4.6), 2026, 326, 119169

DOI: 10.1016/j.mseb.2025.119169 ↗
Co‑author

Single‑Atom Pt Anchoring on Self‑Doped ZrO2@G‑C3N4 Nanostructure Enables Efficient Photocatalytic Seawater Hydrogen Evolution

Advanced Science, 2026, 13(34), e19332

DOI: 10.1002/advs.202519332 ↗
Co‑author

Insights into 3D‑printed TiO2‑based architectures for photocatalytic and non‑catalytic applications

RSC Advances, 2026, 16(33), 30093–30110

DOI: 10.1039/d6ra01640e ↗
First author

Harnessing the synergistic advantages of functional modified (defect generated, Ni and S co‑doped) TiO2/NiS S‑scheme photocatalyst and halloysite nanotube support for efficient photodegradation of several volatile organics

Journal of Environmental Chemical Engineering (IF 7.2), 2025, 13, 120338

DOI: 10.1016/j.jece.2025.120338 ↗
Co‑author

A Novel Framework of Hierarchical EMG‑FMG Fusion to Enhance Long‑term and Multi‑position Robustness for Real‑Time Motion Intent Recognition

IEEE Journal of Biomedical and Health Informatics (IF 6.8), 2025

DOI: 10.1109/JBHI.2025.3622491 ↗
Shared first author

Tactile‑Transparent Wearable Sensor for Clinician‑Friendly Pulse Wave Velocity Monitoring and Cardiovascular Risk Profiling

ACS Nano (IF 16.1), 2025, 19, 32822

DOI: 10.1021/acsnano.5c11375 ↗
Co‑author

Comparative Evaluation of Thermophysical and Acoustical Properties of Binary Mixtures of Cumene + Methyl Acetate and Cumene + Ethyl Acetate over the Range of Molar Compositions and Temperatures from 298.15 to 318.15 K: Experimental Measurements and Application of Deviation Modeling

Journal of Chemical & Engineering Data (IF 2.1), 2025, 70, 3491

DOI: 10.1021/acs.jced.5c00053 ↗
Co‑author

Sustainable and Tunable Synaptic Electrolyte‑Gated Organic Field‑Effect Transistors (EGOFETs) for Light Adaptive Visual Perceptive Systems

Advanced Functional Materials (IF 19), 2025, 35, 2417355

DOI: 10.1002/adfm.202417355 ↗
Shared first author

Decoding halide perovskites for neuromorphic and memristive devices

Materials Horizons (IF 10), 2025, 12, 8430

DOI: 10.1039/D5MH00534E ↗
Co‑author

2D MXene Interface Engineered Bismuth Telluride Thermoelectric Module with Improved Efficiency for Waste Heat Recovery

Advanced Materials Technologies (IF 6.2), 2024, 9, 2301722

DOI: 10.1002/admt.202301722 ↗
First authorEditors' Choice

Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain Computer Interface

Advanced Materials (IF 27.4), 2024, 36, 2306254

DOI: 10.1002/adma.202306254 ↗
Co‑author

Rapid Near‑Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis

ACS Omega (IF 4.3), 2024, 12, 14580

DOI: 10.1021/acsomega.4c00843 ↗
Co‑author

3D Architectural MXene‑based Composite Films for Stealth Terahertz Electromagnetic Interference Shielding Performance

Advanced Materials Interfaces (IF 4.4), 2023, 10, 2300440

DOI: 10.1002/admi.202300440 ↗
Co‑author

Dispersion of InSb Nanoinclusions in Cu3SbS4 for Improved Stability and Thermoelectric Efficiency

Advanced Energy Sustainability Research (IF 5.7), 2023, 4, 2300125

DOI: 10.1002/aesr.202300125 ↗
First author

Charge‑Mediated Copper‑Iodide‑Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy

Physica Status Solidi RRL (IF 2), 2023, 17, 2300191

DOI: 10.1002/pssr.202300191 ↗
First author

Low Switching Power Neuromorphic Perovskite Devices with Quick Relearning Functionality

Advanced Electronic Materials (IF 5.3), 2023, 9, 2300285

DOI: 10.1002/aelm.202300285 ↗
First author

Quantum Topological Neuristors for Advanced Neuromorphic Intelligent System

Advanced Science (IF 14.1), 2023, 10, 2300791

DOI: 10.1002/advs.202300791 ↗
Co‑author

Compact Magnetic Field Amplification by Tuned Lenz Lens

IEEE Sensors Journal (IF 4.5), 2023, 23, 27154

DOI: 10.1109/JSEN.2023.3297254 ↗
Co‑author

Facile composite engineering to boost thermoelectric power conversion in ZnSb device

Journal of Physics and Chemistry of Solids (IF 4.9), 2023, 178, 111329

DOI: 10.1016/j.jpcs.2023.111329 ↗
Co‑author

Probing the Effect of MWCNT Nanoinclusions on the Thermoelectric Performance of Cu3SbS4 Composites

ACS Omega (IF 4.3), 2022, 7, 51

DOI: 10.1021/acsomega.2c06823 ↗
Co‑author

Insights into the Classification of Nanoinclusions of Composites for Thermoelectric Applications

ACS Applied Electronic Materials (IF 4.7), 2022, 4(10), 4781

DOI: 10.1021/acsaelm.2c00617 ↗
Full list on Google Scholar →
Patents
Submitted

Magnetic MXene‑Based Nanohybrid for Wastewater Treatment

Submitted 2 Mar 2026

Submitted

Topological Insulator‑based Plasmonic Surfaces for Enhanced Surface Plasmon Resonance Sensing

Submitted 30 Jan 2026

Submitted

Feedback‑based FMG Baseline Correction in Motion Recognition based on EMG‑FMG Sensor Fusion

Submitted 15 Dec 2025

Filed · United States

Synaptic Device and Synaptic Device Array

US Non‑Provisional Patent Application No. 19/079,584 · Filed 14 Mar 2025

Filed · Australia

Synaptic Device and Synaptic Device Array

Australian Standard Patent Application No. 2025201849 · Filed 14 Mar 2025

Open to new research collaborations and co‑authorship opportunities — get in touch →

Join the Team

Curious minds wanted.
Let's build something
meaningful.

I welcome enquiries from motivated students and early‑career researchers who want to work across advanced materials, neuromorphic electronics, quantum technologies, neurotechnology and biomedical sensing — especially where disciplines meet and new ideas can emerge.

Interested in joining my research?

I'm interested in people who are curious, hands‑on and comfortable learning beyond the boundaries of one discipline.

You do not need to arrive knowing everything. What matters most is strong motivation, intellectual curiosity, reliability, and a willingness to learn. Depending on the project, opportunities may involve experimental device work, materials and sensor development, data analysis, intelligent systems, biomedical applications, or combinations of these.

Who should reach out?
Prospective BSc students, MSc students, PhD students, research students, postdoctoral researchers, and strong final‑year students.
Research opportunities depend on project fit, supervision capacity and available funding. An initial conversation is the best way to explore whether there is a good match.
Useful backgrounds

Skills that can fit well

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    Electronics & device engineering — circuits, semiconductor devices, instrumentation or electrical characterisation.

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    Materials & nanotechnology — fabrication, thin films, surface engineering or materials characterisation.

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    Programming & data — Python/MATLAB, signal processing, machine learning or experimental data analysis.

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    Biomedical engineering — biosensing, physiological signals, wearable systems or health‑technology applications.

What I value

More important than a perfect CV

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    Curiosity — asking good questions and wanting to understand why something works.

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    Ownership — taking responsibility for your work and following ideas through.

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    Resilience — experiments fail, code breaks, papers get rejected; we learn and keep moving.

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    Collaboration — sharing ideas, helping others and being comfortable working across disciplines.

How to get in touch

Send a short, thoughtful introduction.

Please include your current programme or position, your research interests, the area of my work that interests you most, and your CV. If you already have a project idea, paper, portfolio, GitHub profile or relevant technical work, feel free to include it.

Please note: an enquiry is not a guarantee of an available funded position or admission. Formal applications and university requirements apply where relevant.
Get in touch

Good ideas get better
when the right people
connect.

I'm always interested in conversations that can turn research, education, or technology into
something meaningful — whether that begins with a scientific question, a student idea, an
industry challenge, or a new collaboration.