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LOCAL NEWS FOR ISPE 2025
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Previous ISPE 2025 Preceedings
Special Issue "Selected
Papers from ISPE 2025"

Rigester place

Symposium room
Group photo of attendance
Group
photo of the scholars
A New Platform for Flexible Electronics: Exploiting Muscovite
Mica Heterostructures and Intercalation
Presented by Chair
Prof. Ying-Hao Chu
National Tsing Hua University,
Taiwan
Wearable AI Sensors and CMOS Photonics for Future Edge AI
Applications
Presented by GlobalFoundries Chair Prof. Cheng-kuo
Lee
National University of Singapore, Singapore
Some Insights on PEMA-based Solid Polymer Electrolytes for
EDLC Application
Presented by Prof.
Dr. Hieng-Kiat Jun
University Tunku Abdul Rahman, Malaysia
Low-Dimensional Materials: Synthesis, Characterization, Applications, and
Computational Studies
Presented by Prof.
Chang-Fu Dee
National University of Malaysia, Malaysia

AIoT-Enabled Precision Diagnostics for Early Skin Cancer Detection: A Smart
Sensing and Deep Learning Approach
Presented by Prof.
Uma N. Dulhare
Muffakham Jah College of Engineering & Technology, India
Ferroelectric Material as Photoelectrode
Presented by Assoc. Prof. Wei-Sea
Chang
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Computational Modeling of Nanoelectronics and Emerging Materials
Presented by Prof.
Chao-Cheng Kaun
Research Center for Applied Sciences, Academia Sinica, Taiwan

A compliant bistable mechanism based on stepped line profile
Presented by Prof.
Ngoc Dang Khoa Tran
Industrial University of Ho Chi Minh City, Vietnam

,
The
6th
International Symposium on Precision Engineering 2025,
ISPE 2025,
Oral No. O-5,
The Best
Oral Presentation
Award,
Sun Moon Lake Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
,
The
6th
International Symposium on Precision Engineering 2025,
ISPE 2025,
Oral No. O-8,
The Best
Oral Presentation
Award,
Sun Moon Lake Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
He-Han Wu†,
Yi-Tang Lin, Basheer Baba, Chien-Sheng Huang, Shih-Hung Lin,
Xiao Tang, and Che-Hao Liao*
,
“Fabrication and
Structural Evolution of Non-Polar and Semi-Polar AlN Thin Films
on AAO Nanoporous Structures
Using Microwave Annealing”,
The
6th
International Symposium on Precision Engineering 2025,
ISPE 2025,
Oral No. O-9,
The Best
Oral Presentation
Award,
Sun Moon Lake Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
International Symposium on Precision Engineering 2025,
ISPE 2025,
Oral No. O-3,
The Best
Oral Presentation
Award,
Sun Moon Lake Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
Chil-Chyuan Kuo*, Armaan Farooqui†, and Hong-Wei Chen,
“Tailored Interface
Design for High-Performance
Rotary Friction Welded Al/PEEK Joints in Lightweight
Structural Applications”,
The
6th
International Symposium
on Precision Engineering 2025,
ISPE 2025,
Oral No. O-2,
The Best
Oral Presentation
Award,
Sun Moon Lake
Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
Shu-Ting Chuang†,
Zhi-Xuan Liao, Yi-Hsuan Huang, and Chun-Wei Tsai*,
“Evaluation of Infrared
Sensing
Techniques with Copper Thermal Conductive Materials”,
The
6th
International Symposium on Precision Engineering
2025,
ISPE 2025,
Oral No. O-11,
The Best
Oral Presentation
Award,
Sun Moon Lake Youth Activity Center, Nantou
County, Taiwan, November
7~9,
2025.


Wei-Ting Chen†,
Ying-Hao Chu*,
“Modulation
of Bi2O2Se and Heterogeneous Integration
with Silicon Substrate”,
Presentation
Award,
Yun-An Hsieh†,
Yu-Ju Lin, and Ying-Hao Chu*,
“Photochromic
Behavior of Molybdenum Trioxide Epitaxial
Films on Muscovite”,
,
The Best
Poster
Presentation
Award,
Chun-Che Lee,
Chin-Chen Chen†,
Yan-Cheng Lin, Kai-Chiao Yang, Chi-Ho Cheng, and Po-Liang Liu*
,
“Ab-initio
Investigation of Bi2O2X (X = Se, S, and
Te)(001) Surface Terminations”,
on Precision Engineering 2025, ISPE 2025,
Poster No.
P-9,
The Best
Poster
Presentation
Award,
Youth Activity Center, Nantou County, Taiwan, November
7~9,
2025.
Fa-Cheng
Su†,
Hsiharng
Yang*,
“NiCoFe
Layered Double Hydroxide Anode Catalyst applied on Nickel paper
for
Anion Exchange Membrane Water Electrolysis”,
ISPE 2025,
Poster No.
P-12,
The Best
Poster
Presentation
Award,
County, Taiwan, November
7~9,
2025.
Mr.
Guan-Yu Chen
received the award on behalf of Prof. Jen-Chuan Tung.
“First-Principles
Study of the
Anomalous Hall Conductivity in Quaternary Heusler Compounds XCuVZ
(X = Fe, Co, Ni; Z = Sn, Sb)”,
International Symposium on Precision Engineering 2025, ISPE 2025,
Poster No.
P-16,
The Best
Poster
Presentation
Award,
Mr.
Wen-Ding Wei received the award on behalf of Prof.
Jen-Chuan Tung.
“Theoretical
Study of Gas Adsorption
Driven Work Function Shifts on ZnGa₂O₄(111)
for Sensing Purposes”,
Engineering 2025, ISPE 2025,
Poster No.
P-17,
The Best
Poster
Presentation
Award,
Center, Nantou County, Taiwan, November
7~9,
2025.
Location
Sun Moon Lake Youth Activity Center
Address: No. 101, Zhongzheng Road, Yuchi Township,
Nantou County, Taiwan
How to get to the Venue
Option 1:
By public transportation.
Take the Taiwan High Speed Rail, the local train, or bus to Taichung Station →
Continue by Bus 6670 to Sun Moon Lake Station → Take the round-lake bus 6669 to
Youth Activity Center(Sun Moon Lake Ropeway) *The final round-the-lake bus to
this center leaves at 17:20
Option 2:
By Private Vehicle.
[From the south]
National Highway
→ National Highway
interchange 214k → National Highway
interchange 29k → Yuchi → Sun Moon Lake (turn left onto Taiwan route 21 line A)
→ Wenwu temple → Sun Moon Lake Youth Activity Center.
[From the north]
Taoyuan International Airport, Taiwan → Take Hangzhan South Road and Hangzhan
North Road to National Highway
→Take National Highway
→ National Highway
→
interchange 237k → Jiji (connet to taiwan route 3 and route 16) → Shuili
(connect to Taiwan toute 16) → Sun Moon Lake (connect to Taiwan route 21 line
A)→ Wenwu temple → Sun Moon Lake Youth Activity Center.

Guide to Sun Moon Lake Youth Activity Center:
Click me
Option 3:
By using our free shuttle bus service. Pick-up location is at Taichung High
Speed Rail Statio or National Chung Hsing University.
Registration Fee

Dinner and transportation are included in the symposium
registration fee. Accompanying persons are welcome (20USD).
Please reserve your seat(Click
here) by November 1, as on-site registration is not available.
匯款資訊:
匯入銀行:永豐銀行興大分行
銀行代號:807
戶名:社團法人中華民國國立中興大學精密工程研究所所友會
匯款帳號:044-018-0009162-2
請透過電子郵件提供研討會註冊費的匯款帳號末五碼。
Remittance Information:
Account: NCHUGIPE Alumni Association
Account Number: 044-008-0000610-8
SWIFT CODE: SINOTWTP
Address: Bank Sinopac, 9F., No. 36, Sec. 3, Nanjing E. Rd., Taipei, 104, Taiwan
Tel/ Fax: +886-2-2517-3336/ +886-2-2517-2824
Please provide the wire transfer information for the symposium registration fee
via email.
Note:
• One
regular registration can publish a paper.
• Student fee is ONLY applicable for the student who is the FIRST author.
• Additional paper registration precondition: The registered author should be
the first authors in both papers.
• All
Symposium attendees must register. Personal badges will be provided to
identify registered participants.
• 15 minutes Oral presentation / Poster Presentation
• Symposium program
• Attendance to all sessions
• Name tag
• Certificate of presentation
• Symposium bag
• Lunches, coffee breaks and Banquet
Listener Registration Fee Includes:
• Symposium program
• Attendance to all sessions
• Name tag
• Certificate of attendance
• Symposium bag
• Lunches and coffee breaks
Refund/Cancellation Policy
If a registrant is unable to participate in the event for any reason, he or she
can replace other co-authors or other people from the same
institution/organization through arrangements with the registrar. A
written request for cancellation must be sent to the symposium secretary via
email nchugipe@gmail.com.
In case of cancellation, partial cancellation or modification, the following
fees will be charged:
• Cancellation up to 90 days prior to event date : Free of charge
• 89-30 days prior to event date : 50% processing fee is required
• 29-0 days prior to event date : No refund
No Show
If the author does not appear, the registration fee will not be refunded.
Speakers

Chair Prof. and Department Chair, Ying-Hao Chu
Department of Materials Science & Engineering,
College of Semiconductor Research (joint),
National Tsing Hua University, Taiwan
Title of Plenary Speech
A New Platform for Flexible Electronics: Exploiting Muscovite Mica
Heterostructures and Intercalation
Abstract of Plenary Speech
Muscovite mica is a layered silicate mineral that underpins MICAtronics, a
platform essential for developing flexible electronics. It has an atomically
flat surface after cleavage, enabling van der Waals heteroepitaxy, which is
highly beneficial as it accommodates large lattice mismatches (up to 60%) and
reduces epitaxial strain and substrate clamping. Mica shows high mechanical
flexibility and optical transparency, along with excellent thermal and chemical
stability. In this talk, I will first discuss the mechanical properties of
muscovite. Then, I will demonstrate how to modify muscovite's mechanical and
physical properties. The gaps within the mica structure act as two-dimensional
confined cavities, creating an intrinsic interlayer static pressure on inserted
materials (intercalants). This spatial restriction directs oriented growth,
making it possible to fabricate well-ordered 3D mesocrystals, including
superconductive MgB2,
antiferromagnetic NiO, ferromagnetic Fe3O4,
and Ag nanocrystals for SERS. Additionally, a new method for flexible crystal
growth will be shown through mobility and piezoresistive sensors. In the final
part of the presentation, I will focus on our recent advances in thermal
actuators and sensors.

GlobalFoundries Chair Prof. Cheng-kuo Lee
Center for Intelligent Sensors and MEMS
Department of Electrical and Computer Engineering
National University of Singapore, Singapore
Title of Plenary Speech
Abstract of Plenary Speech
With the growing demand for energy-efficient AI applications, the rapid
development of self-powered sensors together with edge computing and edge AI
technology at the sensor nodes has led to the new era of AI sensors. Traditional
sensors and sensing systems can no longer meet the demands for real-time
multimodal sensing and large-scale data processing, leading to a shift towards a
new paradigm of AI Sensors and Artificial Intelligence of Things (AIoT) sensing
systems with integrated computational intelligence. Self-powered wearable
sensors have promoted low-power or battery-free sensing platforms for
applications including human-machine interaction, soft robotics, and electronic
skin (e-Skin). Tactile sensors featuring artificial neuron like self-generated
zero-biased signals are developed to realize synergistic sensing of multimodal
information (vibration, material, texture, pressure, and temperature) in a
single device will be discussed first. On the other hand, aiming at smart
farming, various AIoT sensing systems have been developed recently. A
multifunctional hydrogel is developed as a stable energy harvester that
continuously generates direct current (DC) output with an average power density
of 1.9 W.m-3 for
nearly 60 days of operation in normal environments (24℃, 60% RH). Moreover, this
hydrogel enables non-invasive and self-powered monitoring of leaf relative water
content (RWC), providing critical data on evaluating plant health, previously
obtainable only through invasive or high-power consumption methods. The e-skin
sensors for indoor and outdoor farming applications will be discussed in this
talk as well.
In addition, the development of AlN/Si-based CMOS Photonics have been developed
as a near-sensor edge computing (NSEC) platform pushes the boundary of real-time
AI by combining electro-optic microring resonators (MRRs) and thermo-optic
interferometers (MZIs) to achieve low-latency neural computation directly at the
sensing layer. Demonstrated with high accuracy in multimodal gesture and gait
classification tasks (96.77% and 98.31%, respectively), and achieving latency
under 10 ns with energy consumption below 0.34 pJ, such platforms are paving the
way for privacy-preserving, always-on AI hardware for healthcare, robotics, and
immersive interaction systems. Overall, the fusion of AI-enhanced photonic
sensing, on-chip neuromorphic computing, and flexible sensor integration
represents a paradigm shift for future AIoT systems. As optical edge computing
continues to mature, it will become a cornerstone in the transition from
centralized cloud AI to energy-efficient, responsive, and context-aware edge
intelligence. Looking ahead, the convergence of AI, photonic integration, and
edge computing will catalyze the next wave of intelligent systems that are no
longer confined to centralized data centers or limited by power and latency
bottlenecks. Future AIoT architectures will evolve toward ultra-distributed
networks of smart, self-powered, and self-learning sensor nodes, each capable of
perception, inference, and adaptation in real time. Ultimately, the long-term
vision is a world where every object, environment, and human interaction is
seamlessly sensed, interpreted, and enhanced in real time.

Prof. Hieng-Kiat Jun
Department of Mechanical and Material Engineering
University Tunku Abdul Rahman, Malaysia
Title of Keynote
Speech
Some Insights on PEMA-based Solid Polymer Electrolytes for EDLC Application
Abstract of Keynote
Speech
Electric double-layer capacitors (EDLCs) are promising energy storage devices
due to their high power density, long cycle life, and reliability. Polymer
electrolytes play a key role in their performance, and further improvements can
be achieved through suitable additives. In this work, poly(ethyl methacrylate)
(PEMA) solid polymer electrolytes incorporating sodium perchlorate (NaClO4)
and 1-butyl-3-methylimidazolium thiocyanate ([BMIM][SCN]) were prepared via
solution casting. The addition of [BMIM][SCN] enhanced amorphicity, polymer–ion
interactions, and thermal stability up to ~270 °C. The optimized composition
containing 25 wt% [BMIM][SCN] achieved an ionic conductivity of 3.15 × 10-4 S/cm
at ambient temperature. To further enhance performance, graphene was introduced
into the optimized electrolyte. The resulting EDLC exhibited a specific
capacitance of 5.09 × 10-3 F/g,
outperforming the graphene-free system. These findings provide insights into the
synergistic effects of ionic liquid and graphene in PEMA-based electrolytes,
highlighting their potential for advanced EDLC applications.

Prof. Chang-Fu Dee
Institute of Microengineering and Nanoelectronics (IMEN)
National University of Malaysia, Malaysia
Title of Keynote Speech
Low-Dimensional Materials: Synthesis, Characterization, Applications, and
Computational Studies
Abstract of Keynote Speech
Low-dimensional materials are fundamental semiconductor building blocks for
nanoelectronics and have attracted significant research attention over the past
decade. Non-volatile memory devices based on graphene quantum dots (GQDs) and
two-dimensional molybdenum disulfide (MoS2)
were fabricated and characterized. Current–voltage (I–V) measurements revealed
multi-stage bi-stable and tri-stable switching behaviors, demonstrating their
potential as two-terminal memory elements. The devices exhibited ON/OFF current
ratios with stable retention of up to 1 × 104 seconds.
Additionally, a ZnO nanorod-based field-effect transistor (FET) was developed as
a human serum albumin (HSA) biosensor. A TiO2-based interdigitated
electrode (IDE) amperometric biosensor was also fabricated for detecting HSA and
E. coli O157:H7. The TiO₂ nanoparticle platform enabled detection of HSA
concentrations ranging from 1 mg/mL down to 1 pg/mL. Multiple devices were
tested to assess stability, sensitivity, and reproducibility. After surface
cleaning, the sensors demonstrated reusability with consistent I–V profiles
across five devices, confirming reliable performance.
Computational studies were conducted to complement the experimental findings.
Molecular docking simulations were performed to analyze the structural and
electrostatic characteristics of the antibody–antigen interface. The results
confirmed that the APTES-functionalized TiO2 IDE
surface enhances antibody binding stability at pH 7, demonstrating the
effectiveness of the TiO2 platform
for biosensor applications. These findings provide preliminary validation of the
robust antibody immobilization on TiO2 surfaces.
Additionally, first-principles calculations were carried out to investigate
defects in various 2D and bulk materials. Structural stability, electronic
properties, and electron localization were systematically analyzed. Using
density functional theory (DFT), different phases of 2D SnGe2N4 were
evaluated for catalytic water-splitting reactions. The computed reaction
pathways and free-energy profiles indicate that SnGe2N4 is
a promising photocatalyst for the oxygen evolution reaction (OER).
Various synthesis and fabrication techniques for low -dimensional structures
have been developed to achieve high quality and low-cost production. One
promising approach is the synthesis of silicon nanowires using hot-wire chemical
vapor deposition (HWCVD) with an indium catalyst. In HWCVD, a heated tungsten
filament decomposes silane and hydrogen gases, resulting in high-crystallinity
silicon nanowires. The use of indium as a catalyst enables growth at relatively
low temperatures due to its low melting point (157 °C), compared to conventional
metals such as gold or copper. Key growth parameters, including catalyst size,
filament temperature, substrate–filament distance, and deposition time, were
optimized for improved nanowire formation. Subsequently, zinc oxide (ZnO)
nanostructures were integrated onto the silicon nanowires to form
three-dimensional heterostructured nanowires. ZnO was synthesized via vapor
transport condensation and hydrothermal methods. These Si/ZnO heterostructures
enhance the optical, photocurrent, and field emission properties of silicon
nanowires, overcoming their inherent limitations.

Prof. Uma N. Dulhare
Computer Science & Artificial Intelligence Department
Muffakham Jah College of Engineering & Technology, India
Title of Invited Talk
AIoT-Enabled Precision Diagnostics for Early Skin Cancer Detection: A Smart
Sensing and Deep Learning Approach
Abstract of Invited
Talk
The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT)
is redefining the boundaries of precision healthcare by enabling real-time,
intelligent and patient-centric diagnostics. For early skin cancer detection,
AIoT-enabled precision diagnostic framework designed to bridge the gap between
clinical dermatology and smart engineering systems. The proposed architecture
integrates miniaturized IoT-based sensing devices including portable dermoscopic
imaging units and wearable skin sensors with a cloud-edge deep learning
platform. These devices continuously acquire high-resolution images and
physiological signals which are transmitted through secure IoT protocols to an
AI-driven precision analytics engine. The system employs convolutional neural
networks (CNNs) and attention-based fusion layers to automatically detect
segment and classify skin lesions into malignant and benign categories achieving
real-time inference and a communication adaptive learning. From an engineering
perspective, the system’s edge–cloud synergy, lightweight model optimization and
energy-efficient IoT design make it highly scalable and deployable across
healthcare ecosystems. By merging precision sensing hardware with AI-driven
decision models this research exemplifies the future of intelligent biomedical
systems where diagnostics evolve from static laboratory testing to continuous
connected and adaptive healthcare environments.

Assoc. Prof. Wei-Sea Chang
Department of Materials Science and Engineering
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Title of Invited Talk
Ferroelectric Material as Photoelectrode
Abstract of Invited Talk
It is important goal to develop a renewable means to generate hydrogen for clean energy. One potential solution serves as a method of producing green hydrogen is known as photoelectrochemical (PEC) system. We demonstrate ferroelectric materials as photoelectrode for PEC water splitting, focusing on bismuth ferrite (BiFeO3) . One of the most remarkable features of BiFeO3 is the high ferroelectric polarization. We discuss the electrical interactions between a water-based electrolyte and BiFeO3, including the effectiveness of polarization switching procedure in a liquid environment, as well as the field-effect enhancement of water splitting performance with macroscopic spatial separation between anode and cathode.

Prof. Chao-Cheng Kaun
Research Center for Applied Sciences, Academia Sinica, Taiwan
Title of Invited Talk
Computational Modeling of Nanoelectronics and Emerging Materials
Abstract of Invited Talk
Using first-principles calculations, we investigate electronic transport through MoS2-based heterojunctions for nanoelectronic applications. Effects of biasing and quantum interfering are addressed. We study the efficiencies of polymer-protected perovskite quantum dot films for LED backlighting and polymer-promoted superionic electrolyte for Mg–O2 batteries. Effects of polymer-adsorbing and material-configuring are highlighted. Moreover, we explore the bandgap tuning of NiFeV layered double hydroxides for optoelectronic and catalytic devices. Effects of compositing and cation ordering are identified.

Prof. Ngoc Dang Khoa Tran
Faculty of Mechanical Engineering
Industrial University of Ho Chi Minh City, Vietnam
Title of Invited Talk
A compliant bistable mechanism based on stepped line profile
Abstract of Invited Talk
This study developed a new compliant bistable mechanism is formed based on the connection of horizontal and vertical bars in the up step line shape. The behavior of the mechanism is analyzed based on CBCM numerical method and compared with the finite element method. Both methods agree that the mechanism achieves two stable positions through compression and expansion of the beams. Relevant parametric investigations have been conducted to analyze the characteristics of the mechanism. A macro prototype with ABS material has been fabricated and tested to verify the theory with an error of 3%. The structure has simple properties and is convenient in manufacturing to meet the needs in aerospace, medicine and MEMS.

Assoc. Prof. Jyoti Jaiswal
Department of Physics, Rajiv Gandhi University
Rono-Hills, Doimukh, Arunachal Pradesh, India
Title of Invited Talk
Tailored 2D-MoSe2 Materials with Metal Dopants for Scalable Non-Enzymatic Biosensing Applications
Abstract of Invited Talk
Two-dimensional (2D) transition metal dichalcogenides (TMDs), particularly molybdenum diselenide (MoSe2), have emerged as promising materials for next-generation electrochemical and optical biosensing owing to their tunable band structure, high surface-to-volume ratio, and chemical robustness. Nevertheless, the intrinsic conductivity and limited surface reactivity of pristine MoSe2 necessitate further modification to enhance its sensitivity and selectivity toward specific biomolecules. In this context, MoSe2 nanostructures were doped with Ag, Au, and Ni in varying concentrations (0.5–5%) using a scalable hydrothermal synthesis approach. The structural, chemical and electrochemical characterization revealed notable modifications in charge transfer, and electrochromic response as a function of dopant type and concentration. Among the tested compositions, 1% Ag–MoSe2 exhibited superior non-enzymatic glucose sensing performance. Similarly, 2% Au–MoSe2 demonstrated excellent selectivity and sensitivity toward dopamine. Furthermore, 2% Ni–MoSe2 showed remarkable electrochemical response toward serotonin detection. These independent studies collectively highlight the potential of metal-doped MoSe2 nanostructures as versatile, multifunctional, and composition-tunable sensing materials. The findings provide critical insights into structure–property–function correlations and open new avenues for the development of scalable, enzyme-free, and cost-effective biosensors for healthcare diagnostics and environmental monitoring.