Project Titles / Synopses 2021 - NTU
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Project Titles / Synopses 2021
NANYANG RESEARCH PROGRAMME
Overview of Project Titles 2021
Project
Category Project Title
Code
Water Quality Monitoring using portable Unmanned Aerial
CEE01 Engineering
Vehicles (pUAVs)
CEE02 Engineering Building Energy Prediction and Optimization using AI
EEE01 Engineering Data Analytics and Machine Learning
EEE02 Engineering RF Filters for 5G Communication Systems
EEE03 Engineering Microstrip Antenna Array Design for Beamforming Applications
EEE04 Engineering Metamaterial Frequency Selective Surfaces
EEE05 Engineering Single Pixel Imaging
Machine Learning/Deep Learning Techniques for Advanced Image
EEE06 Engineering
Inference Tasks
Emissions from Rare-Earth Ions by the Energy Transfer from ZnO
EEE07 Engineering
Nanocrystals Embedded in SiO2 Film
EEE08 Engineering Power Supply System for Smart Contact Lens
EEE09 Engineering Sustainable Robotics - Design and Implementation
EEE10 Engineering Sustainable Robotics - Energy Harvesting
EEE11 Engineering Sustainable Robotics - Smart App
Advanced Gallium Nitride High Electron Mobility Transistors
EEE12 Engineering
(HEMTs) for High-Frequency Applications
GaN High Electron Mobility Transistors (HEMTs) for RF Switching
EEE13 Engineering
Application
EEE14 Engineering Novel Gallium Nitride-Based Sensor for Air Pollution Monitoring
EEE15 Engineering Implement Environmental Sensor Under Internet of Things
EEE16 Engineering Water Rectanna
EEE17 Engineering Smart Car Sharing in On-Demand Mobility
EEE18 Engineering Investigating High Performance Perovskite Based LEDs
EEE19 Engineering Data-Driven Method for Li-Ion Battery Health Monitoring
EEE20 Engineering Mini Lidar for Social Distance Measures
EEE21 Engineering Detection of Ions in Water Using Electrostatic Induction
Virtual & Augmented Reality Technology Enhanced Army Logistic
MAE01 Engineering
Training
MAE02 Engineering Distancing-Free Masks
Designing an Artificial Intelligence and / or Robotics System for
NIE07 Engineering
Potential Real-World Applications
SCBE01 Engineering Plasmonic Nanostructures Based Surface Enhanced Optical Sensors
Life Cycle Assessment of Pharmaceutical Nanoparticles from
SCBE02 Engineering
Bioavailability versus Manufacturing Perspectives
SCBE03 Engineering Reactor Simulation using Aspen Hysys
SCSE01 Engineering Document Layout Analysis via Machine Learning
SCSE02 Engineering Augmented Reality Hologram
MAE03 Sciences Riemann Zeta Function
Validation of OMNI Rate of Perceived Exertion Color-Face Scale in
NIE03 Sciences
AdultsProject
Category Project Title
Code
Can Artificial Intelligence Replace Teachers for Student Assessment
NIE04 Sciences
in PE?
NIE08 Sciences Pure and Doped BiFeO3 Thin Film for Photodetector
NIE09 Sciences Plasma Assisted Low Temperature Graphene Synthesis
NIE11 Sciences Optimising Power Output of Simple Microbial Fuel Cells
NIE12 Sciences Designing a Communication Language for Computers
Materials and Electrochemical Process for CO2 Capture and Energy
SPMS01 Sciences
Generation
SPMS02 Sciences Magnetic Materials for 2D Spintronics
Seismic Data Analysis with Conventional and Modern AI
SPMS03 Sciences
Techniques
Business, Humanities, Food and Law in the Time of Coronavirus: Analysing Singapore’s
NBS01
Arts & Social Sciences Regulation of Local Food Businesses
Business, Humanities,
NIE01 The Neuroscience of Math Learning
Arts & Social Sciences
Do I Possibly Have Certain Autistic Trait?: A Preliminary
Business, Humanities,
NIE02 Investigation of Behavioral Characteristics Among General Adult
Arts & Social Sciences
Population in Singapore
Business, Humanities,
NIE05 Effect of In-Games Advertisement on Sponsor Recall
Arts & Social Sciences
Business, Humanities, Exploring the Role that Game-Based Worlds and Immersive
NIE06
Arts & Social Sciences Environments Potentially Play in Learning
Business, Humanities, Sense of Food Resiliency among Secondary/JC students in
NIE10
Arts & Social Sciences Singapore
Business, Humanities, Teacher Recruitment Videos: A Critical Multimodal Discourse
NIE13
Arts & Social Sciences Analysis
Business, Humanities,
NIE14 A Semiotic Analysis of Travel Websites in a (Post-)Pandemic World
Arts & Social Sciences
Business, Humanities,
NIE15 A Review of Oral Language Comprehension Research
Arts & Social Sciences
Business, Humanities, Can AI Help Students and Teachers?: An Investigation of AI's
SCI01
Arts & Social Sciences Potential in Education
Business, Humanities, Fighting Fake News: Defining, Determining and Dealing with
SCI02
Arts & Social Sciences Deliberate Online Falsehoods in Singapore
Business, Humanities,
SOH01 Contemporary Literature
Arts & Social Sciences
Business, Humanities, Cryptanalysis and Language Deciphering: A 'Python Attack' to an
SOH02
Arts & Social Sciences Undeciphered Writing System
Business, Humanities,
SOH03 Language and Identity Among Young Singaporeans
Arts & Social Sciences
Business, Humanities, A Sociolinguistic Investigation of French, German, Italian and
SOH04
Arts & Social Sciences Spanish in Singapore Shop Signs
Business, Humanities,
SOH05 Accounts of Self-Differentiation in Singapore's schools
Arts & Social Sciences
Business, Humanities, A Comparative Analysis of Selected Singapore English- and
SOH06
Arts & Social Sciences Chinese-Language Literary WorksProject
Category Project Title
Code
Business, Humanities,
SSS01 Neuroscience of Criticism
Arts & Social Sciences
Business, Humanities,
SSS02 Neuroscience of Love
Arts & Social Sciences
Business, Humanities,
SSS03 Assessing Social Attributes of Faces
Arts & Social SciencesENGINEERING
CEE01
Title Water Quality Monitoring using portable Unmanned Aerial Vehicles (pUAVs)
Description Water resource is undeniably one of the most important commodities in society,
and crucial for domestic, commercial and industrial uses. The monitoring of water
quality is thus imperative in ensuring its long-term sustainability. However, the
traditional mode of water quality monitoring through active sampling is often a
laborious process. The use of auto-samplers has reduced the need for manpower,
but they are not a feasible solution if the spatial aspects of a water body are to be
considered. Hence, the use of remote sensing technologies has become a viable
option for this and has become more popular over the years due to widely
available and open-source satellite images. However, satellite images are
subjected to constraints such as low spatial resolution, cloud and atmospheric
interference, sparse frequency, and inflexible scheduling.
To address the above limitations, an alternative remote sensing approach with
Unmanned Aerial Vehicles (UAVs) with an attached multi-spectral camera payload
(or with the on-board camera system) can be used to monitor water quality. For
this project, this method shall be tried out in a small-scale test site in Nanyang
Technological University. In particular, the specific water quality parameter of
interest shall be the Total Suspended Sediments (TSS). Prior to this, simple
experiments will be conducted in the laboratory to:
(i) introduce students to basic water optics using the multi-spectral camera;
(ii) provide hands-on experience in preparing calibration standards for the purpose
of calibrating a simple regression model;
(iii) expose students to programming and simple image processing using related
software.
Type of Project
NRP Enrichment
Offered as
College / School School of Civil & Environmental Engineering
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge - Some experience with flying portable drones would be preferred
- Some experience using GIS software would be preferred
Other Requirements NIL
Back to Table of ContentsENGINEERING
CEE02
Title Building Energy Prediction and Optimization using AI
Description Buildings need to consume energy at each stage of their life cycle with at least 50
years, which will share approximately 40% of total world energy usage and 30% of
global greenhouse gas emissions. Remarkably, a good understanding of the
building energy profile plays a significant role in decision making for energy
management and conservation. Actually, it is not a straightforward task to make a
precise evaluation of the building energy performance, since the energy demand
in buildings determined by the interaction of various factors from physical,
environmental, and social characteristics with attendant uncertainties. The past
few years have witnessed the rapid development of artificial intelligence (AI)
techniques, which can automatically and rapidly discover hidden knowledge
according to correlations in a vast amount of data. AI models will be developed to
predict and optimize the building energy.
Type of Project
NRP Enrichment
Offered as
College / School School of Civil & Environmental Engineering
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge If the candidates have some coding background, it could be appreciated.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE01
Title Data Analytics and Machine Learning
Description Machine learning has gained a lot of popularity in recent years due to the advent
of computing power and data storage. In this project, students will be exposed to
machine learning - they will be able to exploit the power of machine learning to
find patterns in data. Students who are keen to pick up new skills such as Python
to help them gain a better understanding of the collected data will find this project
interesting.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge Interest in machine learning and data analytics. Knowledge in Python is
advantageous though not necessary.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE02
Title RF Filters for 5G Communication Systems
Description 5G radio access technology will be a key component of the Networked Society. It
will address high traffic growth and increasing demand for high-bandwidth
connectivity. It will also support massive numbers of connected devices and meet
the real-time, high-reliability communication needs of mission-critical
applications. 5G will provide wireless connectivity for a wide range of new
applications and use cases, including wearables, smart homes, traffic
safety/control, critical infrastructure, industry processes and very-high-speed
media delivery. As a result, it will also accelerate the development of the Internet
of Things. The overall aim of 5G is to provide ubiquitous connectivity for any kind
of device and any kind of application that may benefit from being connected. 5G
networks will not be based on one specific radio-access technology. Rather, 5G is
a portfolio of access and connectivity solutions addressing the demands and
requirements of mobile communication beyond 2020.
One of the essential elements is a bandpass filter in the communication receiver.
This project will address the design criteria to the specifications of 5G
communication systems. The student will be using relevant analytical skills to
design the layout and the EM simulation software to optimize the design, and
validate by experiments.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Interest in engineering innovation and research.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE03
Title Microstrip Antenna Array Design for Beamforming Applications
Description In recent years, due to a large growth in the number of users added to the
development of applications requiring high bit rates, an enormous increase in
traffic has been experienced by wireless communication systems. As personal
wireless devices increase, the problem of interference, increasing data traffic and
capacity also increases as RF spectrum becomes more congested. For overcoming
the problem of interference, the combination of multiple antenna arrays and
beamforming methods help in suppressing the interfering signals and receiving the
signals incoming from the desired ones. The basic principle of beamforming is the
cancellation of interfering signal by constructing signals in such a way that at
required angles we obtain constructive interference and at other angles, the
interference is nullified by destructive interference.
In this project, an overview of beamforming methods and their importance in
wireless communication standards history to be surveyed. Different types of
beamforming and how beamforming was implemented in each standard to be
presented. Also the future trends in wireless communication and how
beamforming can be used to improve the performance in keeping with the
advancements to be described. One case study of microstrip patch array will be
implemented to demonstrate the beamforming technology.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Interest in engineering innovation and research.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE04
Title Metamaterial Frequency Selective Surfaces
Description Because of impracticalities resulting from their much larger size, lensing systems
in a millimeter wave band cannot be dealt with in the same manner as optical
systems. One technique for implementing this lensing is to transform the phase of
the incident field, using metamaterials such as frequencyselective surfaces (FSSs).
In this project, the FSSs known as the gangbuster surface (GS) is used to achieve
the lensing effect. Considering the GS above a perfectly conducting ground plane.
Incident waves reflect totally, and the phase of the reflected waves depends on
characteristics such as the type and period of the GS, the lengths of the wires, and
the separation between the GS and the ground plane. Any change in the various
parameters used to design the lens results in deterioration in the profile field
intensity and the diffraction efficiency, among other unwanted effects.
The goal is to optimize the lens for changes in the angle of incidence such that the
intensity of the electric field and the resolution at the focal plane are both
optimized. To accomplish this optimization, differences in phase distribution for
various angles are to be minimized by using an existing algorithm to modify the
lengths of wires on the GS. Through the use of these different wire lengths, a GS
can be constructed for a lensing system in the millimeter wave band that is stable
for differing angles of incidence.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge Interest in Engineering design and programming knowledge.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE05
Title Single Pixel Imaging
Description Imaging with megapixel camera is common today. However, imaging at infrared
light is very expensive due to limited hardware performance. The project will do
imaging at low cost by utilizing only single pixel for imaging. The algorithm is the
key to construct an image from the single pixel signal.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Not necessary to know, but must like algorithm and computer coding.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE06
Title Machine Learning/Deep Learning Techniques for Advanced Image Inference Tasks
Description Advanced image inference tasks include image classification, i.e. classifying an
image from its content; object detection, i.e. detecting and drawing bounding
box(es) on object(s) of interest; and semantic segmentation, i.e. classifying and
labelling each image pixel to a category. These inference tasks have wide range of
applications in areas such as self-driving cars, computer vision, automated
inspection systems, etc. Conventionally, these tasks were performed using hand-
engineered features which were both cumbersome and inaccurate. In recent
years, machine-learning, especially deep-learning techniques (using deep neural
networks) have gained tremendous progress in realizing these tasks. In this
project, we will explore these machine-learning, especially deep-learning
techniques. The selected student will have access to state-of-the-art deep-learning
software frameworks such as Keras and TensorFlow from Google, PyTorch from
Facebook, and MATLAB etc. Throughout this project, the student will learn
practical programming skills in Python and MATLAB for applying machine learning
and deep learning techniques.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge NIL
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE07
Title Emissions from Rare-Earth Ions by the Energy Transfer from ZnO Nanocrystals
Embedded in SiO2 Film
Description Rare-Earth (RE) ions have been extensively used for various source of light
emissions. The emissions cover a wide range of spectrum, from visible to near
infra-red, and hence they have been used for lighting, displays, optical amplifier
and many others. The optical excitations of the RE ions, however, requires specific
wavelength which is challenging and relatively expensive to have. In this project,
we will use semiconductor ZnO nanocrystals to act as sensitizers. The optical
excitation of the ZnO nanocrystals is quite easy to have, as long as the photon
energy is higher than the bandgap. The RE ions can in turn be excited by the energy
transfer from the excited ZnO nanocrystals and give emissions when the RE ions
relax to the ground states. The RE ions and the ZnO nanocrystals will be
incorporated in SiO2 films. The project involves the fabrication and the
characterization of the samples.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Very good in Physics and Chemistry.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE08
Title Power Supply System for Smart Contact Lens
Description A smart contact lens is considered as one of next generation wearable electronic
devices. Recently, many well-recognized companies including Google Inc.
announced conceptual ideas of various usage of smart contact lens and research
groups in academia started to report the demonstration of various components to
be utilized in the smart contact lens such as sensors and actuators. The one of
challenge of development of various components for smart contact lens is harsh
environment on eye ball meniscus of limited space and fluidic media. In addition,
small energy capacity due to limited space requires energy efficient
communication system to transfer the information to the user. Hence, the
component of smart contact lens demands miniaturization as a form of thin film
on the curved meniscus for user convenience, corrosion resistance in the fluidic
media, and ultimate safety for eye protection. In this study, a student will learn
how to fabricate a micro battery on a contact lens device. The flexibility and proper
electrochemical reaction of the fabricated micro battery will be studied. Finally,
we will study how the electronic devices is integrated with a fabricated battery in
a smart contact lens.
Type of Project
NRP Enrichment or H3 Science Research
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge General chemistry and physics covered in JC.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE09
Title Sustainable Robotics - Design and Implementation
Description As society progressed and become more affluent, more and more wastes are being
generated. Besides accelerating the depletion of natural resources, the dumping
of waste is also a pressing issue. In land scarce Singapore, the government is
already facing challenges in finding and expanding landfill for dumping waste.
Education being an important pillar of national agenda in helping to shape the
mindset of the younger generation should inculcate a spirit of sustainable living.
As such, projects or practical works that involve the use of materials should
leverage on use of recyclable resources while promoting learning in the subject
area of interest. To stimulate the interests of students in robotics and to instill an
environmental green mindset, we proposed the building of a remote controlled
amphibious vehicle. The structure of the vehicle will be based on discarded water
bottles and the vehicle will be versatile in being able to travel on land as well as
water. The control of the vehicle will be through wifi-enabled smart phone. Besides
learning about electronics and developing an environmentally green mindset,
being engaged in this build-and-learn experience will bring about awareness in
sustainable and responsible practices regardless of their future career paths.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Curious, creative and interest in building stuff and coding.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE10
Title Sustainable Robotics - Energy Harvesting
Description As society progressed and become more affluent, more and more wastes are being
generated. Besides accelerating the depletion of natural resources, the dumping
of waste is also a pressing issue. In land scarce Singapore, the government is
already facing challenges in finding and expanding landfill for dumping waste.
Education being an important pillar of national agenda in helping to shape the
mindset of the younger generation should inculcate a spirit of sustainable living.
As such, projects or practical works that involve the use of materials should
leverage on use of recyclable resources while promoting learning in the subject
area of interest. To stimulate the interests of students in robotics and to instill an
environmental green mindset, we proposed the building of a remote controlled
amphibious vehicle. The structure of the vehicle will be based on discarded water
bottles and the vehicle will be versatile in being able to travel on land as well as
water. The control of the vehicle will be through wifi-enabled smart phone. Besides
learning about electronics and developing an environmentally green mindset,
being engaged in this build-and-learn experience will bring about awareness in
sustainable and responsible practices regardless of their future career paths.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Curious, creative and interest in building stuff and coding.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE11
Title Sustainable Robotics - Smart App
Description As society progressed and become more affluent, more and more wastes are being
generated. Besides accelerating the depletion of natural resources, the dumping
of waste is also a pressing issue. In land scarce Singapore, the government is
already facing challenges in finding and expanding landfill for dumping waste.
Education being an important pillar of national agenda in helping to shape the
mindset of the younger generation should inculcate a spirit of sustainable living.
As such, projects or practical works that involve the use of materials should
leverage on use of recyclable resources while promoting learning in the subject
area of interest. To stimulate the interests of students in robotics and to instill an
environmental green mindset, we proposed the building of a remote controlled
amphibious vehicle. The structure of the vehicle will be based on discarded water
bottles and the vehicle will be versatile in being able to travel on land as well as
water. The control of the vehicle will be through wifi-enabled smart phone. Besides
learning about electronics and developing an environmentally green mindset,
being engaged in this build-and-learn experience will bring about awareness in
sustainable and responsible practices regardless of their future career paths.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Curious, creative and interest in coding and building stuff.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE12
Title Advanced Gallium Nitride High Electron Mobility Transistors (HEMTs) for High-
Frequency Applications
Description Gallium Nitride (GaN) based High-Electron-Mobility Transistors (HEMTs) have
been widely recognized as the preferred choice for next generation high-frequency
and high-power device applications such as 5G/6G wireless communications, high
power electronics, satellite communications and sensors etc. This is due to its
inherent material properties such as wide band gap with high breakdown voltage
and higher saturation velocity which enable it to operate at high-frequency, high-
power, high-temperature and harsh environment. In this project, the student will
learn the basic operation, characterization techniques and analysis of HEMTs thus
allow them to understand what it takes to achieve high-frequency and high
performance GaN HEMTs for many key emerging applications.
Type of Project
NRP Enrichment or H3 Science Research
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge ‘A’ level physics and mathematics
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE13
Title GaN High Electron Mobility Transistors (HEMTs) for RF Switching Application
Description High-speed high-power switching elements are key components of
Transmitter/Receiver module, digital phase shifter and attenuators in Radar,
wireless, aerospace & defense communications etc. Gallium Nitride (GaN) based
transistors have emerged as a very promising and important building blocks of
many future advanced applications such as high-power switches, wireless
communications, satellite communications etc. In this project, the students will
be exposed to the technology of GaN transistors for switching application and the
device physics parameters. They will also learn the useful and important basic
operation, characterisation techniques and analysis of GaN based transistors. This
hands-on experience and device knowledge will prepare the students well for their
future studies in electronics engineering particularly in the areas of
semiconductors, RF and power electronics and integrated circuit design.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC1
Group Size Individual
Specific Knowledge NIL
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE14
Title Novel Gallium Nitride-Based Sensor for Air Pollution Monitoring
Description Gas sensing technology has gained increased attention especially where the
detection of gases and air pollutants is imperative for the safety of human health.
There is a need to detect NO2, since its long-term exposure can lead to bronchitis
in asthmatic children and can impair lung growth. Moreover, it is the primary
source of nitrate aerosols, forming an important component of dangerous
airborne particles. Thus, the regulations governing NO2 in automobiles are
becoming increasingly strict.Similarly, the presence of CO2 gas in high
concentration poses risk to human health and may lead to serious physiological
damages due to O2 deprivation and organ failure. At present, the commonly used
gas sensors suffer from limited sensitivity, limited lifetime, poor selectivity and
high energy consumption. In order to overcome these shortcomings, gallium
nitride material based sensors are attractive due to their unique physical
properties such as high band gap, high career density near the surface and
chemical inertness.
In this project, students will help to characterise the sensors developed in our team
using a gas sensor system for NO2, CO2 and O2 gases. The effect of
functionalisation layers on the gas sensitivity, response time, recovery time, etc
will also studied as a function of temperature and gas concentration. The
underlying sensing mechanism will be understood.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge Interest in materials science.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE15
Title Implement Environmental Sensor Under Internet of Things
Description There has been very strong interest and attention in the past few years focused on
the Internet of Things (IoT). The IoT refers to a network of physical objects
embedded with electronics, software, sensors, and network connectivity, which
enables these objects to collect and exchange data. It allows remote sensing and
control across network infrastructure, creates opportunities for more direct
integration between the physical world and computer-based systems, and
resulting in improved efficiency, accuracy and economic benefit. [1] One of the
challenges in the IoT technology is the provision of energy for the sensing,
electronics, communication, etc. It is important that the deployed devices are
autonomous, that is, able to harness environmental energy and be self-sufficient
so that there is no need to provide and replace batteries. Among the various
sources of energy that can be harnessed from an indoor environment, light energy
has been shown to be one of the most efficiency and widely available.
In this project, the student will study and implement an environmental sensor to
sense and transmit signal wirelessly to a host for real-time monitoring of the
environmental parameter of interest. The scope will also include the building of
communication circuit and circuit for harnessing of light energy to power the
sensor and communication circuits, to realize a fully autonomous sensor.
1. https://en.wikipedia.org/wiki/Internet_of_Things
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC1
Group Size Individual / Pair
Specific Knowledge No pre-requisites. Students should preferably have an interest in electronic
engineering and in the study of renewable energy.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE16
Title Water Rectanna
Description Water is an interesting medium that is transparent, flexible, and can be potentially
low loss. Therefore, water can be an excellent candidate for designing
reconfigurable antennas. The objective of this project is to explore innovative
shapes for wide-band and multiband antennas that can be used in modern
communication systems. Both theoretical simulations using ANSYS high frequency
structure simulator (HFSS) and experimental measurements will be involved in this
project. Dedicated students can get a lot of hands-on experience in this project.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge NIL
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE17
Title Smart Car Sharing in On-Demand Mobility
Description Singapore has gone through a remarkable urbanisation process for the past several
decades. So far, about 12% of the accessible land has been used for building traffic
roads, and it is simply impossible to continuously expand the traffic network. To
meet the ever-growing number of traffic demands, advanced traffic management
techniques such as traffic signal control and flow management by road pricing
have been developed and implemented. In addition, it is commonly believed that,
by promoting ride sharing, the number of travel demands may be significantly
reduced, which could ease the high pressure faced by LTA on pan-island traffic
management. In this project the student will learn to model a simple traffic
network and analyse the impact of ride sharing on travel demand reduction.
There are several objectives that the student is expected to meet:
(1) To learn how to model a ride sharing problem as a mathematical programming
problem.
(2) To learn some simple optimisation techniques, in particular, the Lagrangian
multiplier method. If time allows, some evolution algorithms may also be learned.
(3) To apply relevant optimisation techniques to the ride sharing problem and
solve it with right tools.
(4) To develop a simple simulation based case study to illustrate the solution.
During this process, the student is expected to learn some basic concepts of linear
programming, mixed integer linear programming, Simplex, Lagrangian relaxation
and genetic algorithms. The simulation case study may be developed within a
realistic traffic simulator PTV VISSIM, which also allows the student to understand
some basic traffic management principles.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual/ Pair
Specific Knowledge (1) For students who intend to develop their own optimisation algorithms,
knowledge about calculating function derivatives may be needed. Nevertheless,
this is not mandatory, as specific optimisation tools can be used to solve relevant
optimisation problems.
(2) Students may use their own familiar programming languages to develop some
case studies. Yet, they will be encouraged to use PTV VISSIM, which will be
provided by my group at NTU.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE18
Title Investigating High Performance Perovskite Based LEDs
Description Perovskite as a “new” material for optoelectronic applications has attracted much
attentions. This type of materials have been extensively studied in photovoltaic
application. Perovskite solar cells have achieved the power conversion
efficiency ?28%. In this project, Perovskite based light emission diodes (LED) will
be investigated with understanding the Perovskite LED device structures and their
operation principle. The student will need to propose a suitable Perovskite LED
structure with suitable materials, simulate the operation and performance of the
LED to optimize their structures.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge Have taken the Physics and Chemistry modules in JC.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE19
Title Data-Driven Method for Li-Ion Battery Health Monitoring
Description This project aims to develop a data-driven method to real-time monitoring the
health of the Li-ion batteries.
Artificial intelligence (AI) algorithms will be developed to learn from a battery
health data set, train a health monitoring model, and then be used for real-time
state-of-healh (SOH) monitoring of the batteries.
The project involves programming in computers, preliminaries of AI and
programming is needed.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Artificial intelligence, machine learning, computer programming.
Battery health monitoring.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE20
Title Mini Lidar for Social Distance Measures
Description In the time of COVID19, it is necessary to keep social distancing. This project aims
to build a mini-lidar system that measures distance and trigger an alarm when the
social distancing is violated. Two students will team up to build the system based
on a micro-processor such as Arduino or Raspberry Pi. Students who are interested
in coding are preferred.
Type of Project
NRP Enrichment
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Interest for coding. Experience on Arduino or Raspberry Pi.
Other Requirements NIL
Back to Table of ContentsENGINEERING
EEE21
Title Detection of Ions in Water Using Electrostatic Induction
Description It is known that water contains a huge number of ions (and other charged
particles). Some of them are good for health and necessary to maintain our human
body metabolism process. While, some of them are harmful for health. In this
project, the student will study to sense ions (and other charged particles) in water
using electrostatic effect. After water passes on a substrate, ions (and other
charged particles) in the water could adsorb onto the substrate. The surface
density of the charged particles adsorbed onto the substrate is then determined
using the electrostatic induction technique. We have found recently that the
surface density of the adsorbed ions and charge particles is largely affected by
contaminants in water. Thus, studying the surface charge density could tell the
quality of water.
In this project, the student is required to establish the relationship among the
surface density of the charge particles adsorbed onto the substrate and several
contaminants. From the results, assessment of water quality can be achieved.
Type of Project
NRP Enrichment or H3 Science Research
Offered as
College / School School of Electrical & Electronic Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge Fundamental Physics
Other Requirements NIL
Back to Table of ContentsENGINEERING
MAE01
Title Virtual & Augmented Reality Technology Enhanced Army Logistic Training
Description Military training plays an utmost important role in defense. Safety and productivity
are two sites of a same coin with the military training. This project is interested to
develop innovative virtual & augmented reality (VAR) technology to enhance the
military training in collaboration with the Army Logistic Training Institute. In
particular, this project will look into the detail of Singapore Self-Propelled Howitzer
(SSPH) system. Two students will be recruited in this project working on the design
and simulation of the SSPH with the aid of the latest VAR technology.
One of the students will be taking care of the design of SSPH in full three-dimension
and the other student will be responsible for interactive simulation. Students with
strong interest in design and programming are encouraged to apply the project.
Knowledge and skill using 3ds Max and Unity3D, as well as Java or C# scripting will
be an advantage.
The project students if accepted will work with a team in NTU for the entire design
and development phase.
Type of Project
NRP Enrichment
Offered as
College / School School of Mechanical & Aerospace Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Students with strong interest in design and programming are encouraged to apply
the project. Knowledge and skill using 3ds Max and Unity3D, as well as Java or C#
scripting will be an advantage.
Other Requirements NIL
Back to Table of ContentsENGINEERING
MAE02
Title Distancing-Free Masks
Description A prototype of “Distancing-Free Mask” that can almost-completely prevent virus
is being developed (http://www.e-jikei.org/site/Perfect_Mask.htm). Once this is
mass produced and distributed to each citizen, lockdown is unnecessary. The
wearer of this mask, like the antibody carrier, can neither be infected by the virus
nor infect others. If the mask is worn by all the people at the same time when the
infection spreads, the infection will be easily and reliably converged. Business can
open and air travel can restart again safely.
COVID19 has imposed upon population “social distancing" and "Lockdown" and
caused economy sharp contracting with no prospect of quickly developing a
vaccine against the mutating COVID19.
Key Tasks for NRP/NRPjr students: replicate and assemble an improved prototype
suitable for tropical Singapore, where the ever present air-conditioning can cause
condensation and fogging which can impair the vision of the wearer, which makes
the wearer heard well, particularly to other wearers; which allows the wearer to
hear well, particularly from other wearers; which has less irritable skin touching
rims; and which are portable.
Type of Project
NRP Enrichment
Offered as
College / School School of Mechanical & Aerospace Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge Buying parts assemble together and test the masks.
Other Requirements NIL
Back to Table of ContentsENGINEERING
NIE07
Title Designing an Artificial Intelligence and / or Robotics System for Potential Real-
World Applications
Description In this project, you will learn how to use open-source hardware (such as Arduino
and Raspberry Pi), Artificial Intelligence (AI) computing platforms (such as NVIDIA
Jetson) and sensors (such as cameras or microphones) to design and train an AI
robot for a real-world application of your choice. You will be supported in your
learning by a team of designers and developers who have extensive experience
with open-source hardware and software.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Interest in maker culture, artificial intelligence and robotics is a plus. Experience
with programming languages such as Python will be helpful though not necessary.
Other Requirements NIL
Back to Table of ContentsENGINEERING
SCBE01
Title Plasmonic Nanostructures Based Surface Enhanced Optical Sensors
Description Ultrasensitive detection of biomarkers is of considerable interest for early disease
diagnosis. To improve the sensitivity of traditional on-surface assays, we will
develop a plasmonic substrate prepared by 2D assembly of metal nanoparticles for
enhanced fluorescence readout. The 2D assembly will be prepared by self-
assembly of polymer-coated metal nanoparticles at the water/oil interface and
then transferred to glass or PET substrate by dip-coating. The substrate will be
characterized by scanning electron microscopy and UV-vis absorption
spectrometer. For improved detection sensitivity, we will optimize the optical
property of the building block nanoparticles and the thickness of the polymer
coating to match the extinction spectrum of the plasmonic substrate to the
excitation/emission spectra of the fluorescent dye. A sandwich assay will then be
performed on the plasmonic substrate with the capture antibody and the
detection antibody labelled with dyes. The fluorescence signals will be read out by
a fluorescence microscope and be compared with results obtained with pure glass
or PET substrates.
Type of Project
NRP Enrichment
Offered as
College / School School of Chemical & Biomedical Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Chemistry and Physics.
Other Requirements NIL
Back to Table of ContentsENGINEERING
SCBE02
Title Life Cycle Assessment of Pharmaceutical Nanoparticles from Bioavailability versus
Manufacturing Perspectives
Description Nanoparticles of active pharmaceutical ingredients (API) have emerged as an
effective strategy to enhance the systemic bioavailability of poorly soluble drugs.
This is attributed to the fast dissolution rate afforded by the large specific surface
area of nanoparticles. The high bioavailability translates to lower dosage
requirement compared to the conventional drug formulation by microcrystalline
drug particles. The lower dosage requirement also means less drug products need
to be produced and less drug is wasted after administration (as most of it will be
absorbed by the patient's body), thus smaller environmental footprints from the
manufacturing. However, the production of API nanoparticles is time-consuming
and energy-intensive process by size reduction by milling or high-pressure
homogenisation. This leads to large environmental footprints from the
manufacturing. In this project, we would like to answer the research question
whether the smaller footprints afforded by the higher solubility of API
nanoparticles are adequate to overcome the larger footprint in their production
step? The students will learn how to carry out basic principles of Life Cycle
Assessment (LCA) analysis to answer this research question. Students with great
interests in medicinal chemistry and mathematics are encouraged to participate.
Type of Project
NRP Enrichment or H3 Science Research
Offered as
College / School School of Chemical & Biomedical Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Basic Chemistry
Other Requirements NIL
Back to Table of ContentsENGINEERING
SCBE03
Title Reactor Simulation using Aspen Hysys
Description Chemical engineering is not just about experiments, but also about playing with
simulation software. In this project, we shall look into various parts of a chemical
plant especially the reactors. Reactors are the heart of the chemical process. We
shall employ the Aspen HYSYS modelling platform - a user-friendly and exciting
tool - to simulate and understand the operation of different parts of chemical
plants. The broad aim of this project is to look at different types of reactors
(catalytic reactors, Fluidized Bed reactors, etc.) with the aid of typically used
simulation tools.
Type of Project
NRP Enrichment
Offered as
College / School School of Chemical & Biomedical Engineering
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Aspen Hysys Software
Chemical Reactions
Other Requirements NIL
Back to Table of ContentsENGINEERING
SCSE01
Title Document Layout Analysis via Machine Learning
Description With the increasing number of digitisation projects initiated by libraries world-
wide, document layout analysis become one of the fundamental important
problem in document image analysis. In this project, student will learn about some
popular machine learning approach eg. deep learning, transfer learning and apply
them to detect and classify the text and pictures from the document.
Type of Project
NRP Enrichment
Offered as
College / School School of Computer Science and Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge Interested to learn programming and good at Mathematics.
Other Requirements NIL
Back to Table of ContentsENGINEERING
SCSE02
Title Augmented Reality Hologram
Description Augmented Reality is slowly and steadily marking its presence in the technology
landscape. This year, we have witnessed the growth of Apple’s ARKit and Android’s
ARCore. But, AR is picking pace not just by the push of tech giants like Apple and
Google, but also individual developers who are pushing boundaries to integrate AR
into more.
This project aims to create mobile hologram app based on latest AR frameworks
including Apple ARKit, Google ARCore & Tango. This app should allow users to
place a variety of holographic models and figures into a scene for photo and video
capture. This will provide most enjoyable AR experiences for the users. Users will
be able to share their creations directly from the app’s built-in access to popular
social media platforms.
(a) Design component
Develop an algorithm combing image processing techniques and GPS. This will
further enhance using clustering algorithm.
(b) Implementation component
Develop mobile app for hologram applications.
Mobile app will be developed using latest AR and VR platforms (Apple ARKit,
Google ARCore & Tango, Microsoft HoloLens, ...).
Type of Project
NRP Enrichment
Offered as
College / School School of Computer Science and Engineering
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge Android or iOS development experience.
Other Requirements NIL
Back to Table of ContentsSCIENCES
MAE03
Title Riemann Zeta Function
Description The Riemann zeta function is central to number theory and also plays an important
role in physics and engineering. The scope of this project is to investigate some
important properties and applications of the Riemann zeta function.
Type of Project
NRP Enrichment
Offered as
College / School School of Mechanical & Aerospace Engineering
Target Group Year 5 / JC 1
Group Size Individual / Pair
Specific Knowledge NIL
Other Requirements NIL
Back to Table of ContentsSCIENCES
NIE03
Title Validation of OMNI Rate of Perceived Exertion Color-Face Scale in Adults
Description Derived from the term ‘omnibus’, the OMNI RPE scale was developed by
Robertson et al (2000) to quantify perceived exertion during exercise. It caters to
both children and adult users with its children and adult version respectively. Each
children and adult scale is also exercise specific, i.e. a scale is available for each
exercise type, e.g. running, cycling, weight lifting, etc. The 0 to 10 numeric scale
incorporates both pictorial and verbal descriptors to help users define their
exertion level, relying on the use of meta-cognition and meta-memory. The
functionality of measuring perceived exertion during exercise is derived from the
sensations arise from the body during exercise; positive linearity is observed
between exercise intensity and perceived exertion.
Understanding exercise intensity and perceived exertion is paramount to mental
and physiological well-being, especially in children. The lack of emphasis in the
concept of safe exercise has led to over exertion, resulting in chronic injuries,
excessive fatigue, reluctance and reduced participation in physical activities. As
health professionals, promoting health lifestyle habits should therefore include
the emphasis of safe exercising which would be possible by learning of the
participant’s perceived exertion during exercise or any physical activity. Though
Robertson’s OMNI RPE scale has been extensively validated across age groups,
gender, nationality and health statuses and exercise types, it failed to reach out to
those whose meta-cognition and memory that learns better through colors. Using
colors for learning and meta-memory can either be deliberate or naturally
occurring.
This project will allow learners to have full hands on experience in conducting an
intervention program that validates the use of a new OMNI Color-Face Scale (CFS)
in self-regulation during exercise. The OMNI CFS is a modification of Robertson’s
OMNI RPE scale with the addition of colors, change in pictorials and orientation of
the scale. The research will allow students to better understand, learn and have
the first-hand experience in observing the changes in physiological variables such
as oxygen consumption, heart rate, fuel utilization and blood lactate during
different exercise intensities. Secondly, students will also have the opportunity in
learning how to identify the ventilatory breakpoint and critical speed which is
important in sports training. This project will be the pioneer to future testing with
children.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC1
Group Size Individual / PairSpecific Knowledge 1) Communication skills
2) Attention to details
3) Adhere to protocols and guidelines for safe procedures in laboratory
4) Positive learning attitude and open mind
5) Basic understanding of human anatomy, circulatory and respiratory systems,
effect of exercise and training
Other Requirements NIL
Back to Table of ContentsSCIENCES
NIE04
Title Can Artificial Intelligence Replace Teachers for Student Assessment in PE?
Description This project will apply simple artificial intelligence algorithm to investigate wether
a computer can perform better in assessing fundamental movement skills of PE
students in an objective and accurate manner.
The project will involve the recording of simple fundamental movement skills
activities (like throwing a ball) and the processing of those videos with computer
softwares I order to quantify the movement of the students. Final comparison will
be tested between the computer performance and an actual teacher's
assessment.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC 1
Group Size Individual
Specific Knowledge No real prerequisite for this project, expect an appetence for computer science
and coding maybe.
Other Requirements NIL
Back to Table of ContentsSCIENCES
NIE08
Title Pure and Doped BiFeO3 Thin Film for Photodetector
Description Multiferroic (exhibiting both ferroelectric (FE) and Ferromagnetic (FM)) are
promising candidate for designing multifunctional devices including novel high
density magnetic storage memories, sensors, photovoltaic devices, micro
actuators etc. Multiferroics are also being synthesized as a composite system, e.g.
as a product property of a composite phase consisting of a magnetostrictive and a
piezoelectric material. Whereas BiFeO3 is single-phase multiferroic system
exhibiting both FM and FE. In the present work, we will focus towards the
development of BiFeO3 thin films on cost effective corning glass, ITO/glass and
Pt/Si substrates. Further to achieve significant enhancement in the ferroic
properties, site doping engineering approach will be employed by adding dopants
at the A-site and B-site in BiFeO3 lattice. At the end of work, emphasis will be made
to realize the photodetector from pure and doped BiFeO3 thin films.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC 1
Group Size Pair
Specific Knowledge Motivated for basic Physics and magnetism. Hands-on skills towards to
experimental Physics.
Other Requirements NIL
Back to Table of ContentsSCIENCES
NIE09
Title Plasma Assisted Low Temperature Graphene Synthesis
Description Well-stabilized chemical vapor deposition (CVD) method has been used for quite
long time for the growth of graphene on the copper and nickel substrates. In order
to grow the high quality graphene on copper and nickel substrates using CVD, high
temperature processing above 1000 oC is required. High growth temperature does
not allow us to grow the graphene on the various desired substrates which are
useful for various applications like wearable and flexible electronics. Hence, we
propose a plasma assisted graphene growth in which carbon precursor will be
exposed to RF plasma before deposition. The plasma will help to dissociate the
carbon and will promote the graphene growth even at very low temperature close
to room temperature. The approach can be used to grown the graphene on various
type of substrates.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC1
Group Size Pair
Specific Knowledge Motivated to learn advance materials characterization techniques.
Other Requirements NIL
Back to Table of ContentsSCIENCES
NIE11
Title Optimising Power Output of Simple Microbial Fuel Cells
Description Microbial fuel cells (MFC) are bio-electrochemical devices, where some of the
energy from the food source of the microbes in the MFC that is released via cellular
respiration, is "stolen" and converted into electrical energy. This technology has
potential use in areas such as power generation using sewage as the food source,
thus recovering energy that would otherwise be lost as heat to the atmosphere as
the raw sewage decomposes.
In small scale experiments, the power output of simple MFCs are limited and useful
mainly as a teaching tool, only able to light up LEDs and very low power digital
circuits. For this purpose, a curriculum package has been developed for school-
based programmes where student teams investigate the parameters influencing
MFC power output, principally its voltage output over time, and hence use their
data to design-and-make improvised MFCs with improved performance. In these
investigations, it is noted that each parameter varied (e.g. type or concentration
of sugar used as food source, oxidising agent, electron mediator, size and shape of
chambers, type of electrode, etc) results in varied performance in a non-linear,
non-intuitive relationship. This is due to the complex interactions between each
parameter. For example, changing the concentration of one reagent might
influence reactivity and internal conductance that should improve voltage output,
but at the same time, such changes might stress the microbes and thus reduce
their rate of respiration.
This project seeks to establish and map the effect of changes to MFC parameters
in isolation and in combination. Understanding these complex relationships will
help towards optimising MFCs for production of power at modest scales to
contribute towards the search for sustainable energy sources, as well as further
develop them as teaching activities for science education from school to university
levels. There is also scope for student-led innovation of MFC design, engineering
and discovery, dependent upon the interests of students on the project.
Type of Project
NRP Enrichment
Offered as
College / School National Institute of Education
Target Group Year 5 / JC 1
Group Size Individual/ Pair
Specific Knowledge Basic knowledge of cellular respiration, reduction-oxidation (redox) chemistry, and
electricity (voltage, current, power, resistance, etc). Interest in interdisciplinary
science, STEM, and science education would be vital. Student(s) should ideally
have access to school lab where controlled chemistry-based experiments can be
conducted, and ideally should have dataloggers with voltage sensors available.
Some experimentation can be done in school lab, if these resources are available.
Other Requirements NIL
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