phd project proposals: info-communications...(1) using special bioinspired camera such as atis1,...

PhD Project Proposals: Info-Communications

Updated: 4 September 2019

Staff Name: Abdulkadir C. Yucel

Email: [email protected]

Proposed Research Project (1): Electromagnetic simulation tools for analyzing radiation characteristics of antennas on re-entry space vehicles

Description: While re-entering the atmosphere, the space vehicles often experience a communication blackout. This blackout happens because the vehicles are covered by a thin, dense, and inhomogeneous plasma shell that hinders the operations of antennas mounted on the space vehicles. Furthermore, a similar communication blockage occurs due to the plume for the antennas mounted at the back sides of vehicles while the vehicles move towards space. To this end, this projects aims to develop fast and accurate electromagnetic simulation tools for studying the communication blackout and performing on-platform analysis of new antennas that are insensitive to the plasma shell and plume.



Proposed Research Project (2): Fast electromagnetic simulation tools for biomedical applications

Description: Today, medical diagnosis and treatment practices make use of electromagnetic (EM) sensing and stimulation devices. Such practices include, but not limited to, magnetic resonance imaging (MRI), electroencephalography (EEG), microwave ablation, transcranial magnetic stimulation (TMS), neuromuscular electric stimulation (NMES), and deep brain stimulation. These practices (and many others) exploit EM fields produced by devices residing internal (sensors, stimulation devices, communication antennas) or external (coils, electrodes, magnets) to the targeted biological tissue to realize unique diagnostic or therapeutic capabilities. In this project, we aim to develop novel EM simulation techniques for characterizing EM field - tissue interaction mechanisms in these practices. The developed techniques will be used for improving the performance of existing devices, developing new bio-EM modalities, addressing safety, compliance, and interference issues, as well as studying microwave tomography.





Proposed Research Project (3): Efficient tools for wireless channel characterization in railway tunnels

Description: The wireless networks are fundamental components of autonomous vehicle technologies, for example, for remotely controlling trains in underground railway tunnels. The nodes of wireless networks are to be deployed optimally in tunnels to ensure stable and energy efficient communication among nodes. This optimization process requires accurate characterization of electromagnetic (EM) wave propagation among nodes in tunnels. In this project, we aim to develop a new class of EM simulation tools that will allow efficient and full-wave characterization of EM wave propagation in tunnels loaded with conductors (e.g., train cars and cables). The developed simulation tools will be used to place wireless network nodes in tunnel environments for maximizing signal coverage and to study the channel characteristics under uncertain and unexpected situations.

Staff Name: Anamitra Makur


Proposed Research Project (1):

Compressive Sensing and its Application to Image Processing

Description: Abstract: This PhD involves theoretical research in the area of compressed sensing, leading to algorithm development and applications to image processing. Since the research involves compressed sensing, the applicant should have a love for mathematical analysis and theoretical research, and a strong background in mathematics and signal processing.

Staff Name: Andy Khong Wai Hoong


Proposed Research Project (1): Data Analytics for Learning Science

Description: The aim of this research is to develop data analytics to understand human learning behaviour. This project involves data mining and machine learning which is applied on understanding human behaviour as they go through online courses. This interdisciplinary research will incorporate learning science and learning pedagogy.



Staff Name: Andy Khong Wai Hoong



Acoustic signal processing and acoustic enhancement technologies

Description: The aim of this research is to develop algorithms to achieve audio enhancement in a noisy environment. This involves the development of array signal processing algorithms, which can applied to microphone array in a noisy environment. Potential applications include surveillance and meeting scenarios where the quality of sound is important.

Staff Name: Arindam Basu



Neuromorphic Camera for Low-power Surveillance in IOT (Electronics and Info-Communications)

Description: In this research, the student will work on developing the world’s lowest power battery powered wireless camera system for intelligent surveillance. This will be enabled by two innovations: (1) Using special bio-inspired camera such as ATIS1, Davis2 etc that produce asynchronous events independently from each pixel only when it detects change thus drastically reducing camera data (2) “edge computing”, i.e. putting low-power machine learning processors along with the camera to classify objects in the scene thus reducing the amount of data even more. This machine learning processor has to be specially designed to handle the asynchronous spike data available from the sensor. As a starting point, the student will start from our research group’s patented low-power ELM machine learning co-processor for brain-machine interface3. He/she will develop new ICs converting this into an asynchronous output mode and explore new neuro-inspired normalization methods (subtractive, divisive) as well as competitive networks such as winner take all. The student will use different algorithms to create deep networks on the TrueNorth chip and develop learning strategies to combine the two chips as well. Also, communication between many cores on a multi-core neural accelerator is typically the bottleneck for energy efficiency. This project will explore usage of wireless communication to replace wired communication for long-distance high bit-rate links.



Staff Name: Arindam Basu



Neuromorphic Algorithms for Computation-in-memory using Non-volatile Memory Devices (Electronics and Info-Communications)

Description: As Deep Learning powered neural networks keep advancing the frontiers of artificial intelligence algorithms, it becomes increasingly difficult to run these algorithms in real time on a typical computer with von-Neumann architecture due to memory constraints. The brain seems to have tackled this problem by developing computing paradigms where plastic or trainable synapses (memory) is interspersed in between neurons that compute. It thus becomes imperative to search for new computer architectures with computation being done within memory as well as new devices that can switch between different memory states as well as retain them for long time durations. In this project, we collaborate with Physicists and Material Scientists to use state-of-the-art non-volatile memory (NVM) devices made using 2D materials, spintronic technology and thin-film transistors for neuromorphic computing. We will develop brain-inspired spiking neural networks (SNN) that can exploit the short and long-term memory afforded by these devices. We will also explore the SNN variant of popular deep learning architectures such as generative adversarial nets and develop new algorithms to train SNN in the presence of non-differentiable nonlinearities.

Staff Name: Arokiaswami Alphones


Proposed Research Project (1): Metamaterials and Periodic structures

Description: Recently leaky wave phenomena from left handed wave guides are very interesting research topic, especially for their composite forms of left and right handed transmission line where wave can be scanned from backward to forward directions continuously through zero order propagation constant by changing frequency. They are expected small leaky wave antenna for communication use. Few years back we have proposed double periodic left handed transmission line where capacitance or inductance is periodically loaded in the line. Realizing compact antennas and filters using metamaterials concept would be attempted in this work.





Proposed Research Project (2): Metamaterial assisted Wireless Power Transfer System

Description: WIRELESS POWER TRANSFER (WPT) systems have been extensively investigated in the last few years. WPT technology can be used in a wide range of industrial applications such as biomedical implants, robotics, consumer electronics and electric vehicle (EV) charging to eliminate charging hazards and drawbacks related to cables. In this project, an analytical method to calculate the scattering parameters of a wireless power transmission link composed of electrically small single loop resonators will be attempted. The method has to consider all the different couplings in the structure. First, the approach to be used to find the S-parameters for links composed of circular and rectangular resonators. The model is then to be used to find the optimal topology for a given transmission distance. Validation of the model has to be done by comparing its results with experimental measurements.



Proposed Research Project (3): Perturbation Analysis on Grating Coupler

Description: Optical integrated circuits consist of multiplexers, input, and output couplers. This project will theoretically investigate with rigorous analysis on periodically modulated grating structures in optical domain.

Staff Name: Chau Lap Pui


Proposed Research Project (1): Human motion retrieval system based on human skeleton extraction

Description: As motion capture device becomes more popular, the motion data sets are becoming larger. So efficient retrieval method for the human motion database is very important. This project is to develop an efficient retrieval method that requires efficient indexing scheme and robust similarity measure to represent motion data.

mailto:[email protected]





Proposed Research Project (2): Contrast Enhanced Vision for Deepwater Monitoring System

Description: Current approaches to image processing for contrast enhancement rely on standard models of signal-to-noise ratio (SNR). Novel optical characterization with associated signal processing can enable dramatic increase in image and video sharpness and clarity. The proposed research can apply to vision based operation under deepwater environment. This proposal will describe a feasible method to enhance deepwater optical image and video. Deepwater vehicles namely Remotely Operated Vehicles (ROV) generally comes with optical sensors for their capability of remote operation. Therefore, deepwater vision is an important issue in maritime application. Different from the common video, deepwater video suffer from poor visibility due to the scattering and light distortion. Owing to the challenging deepwater conditions and the light dissemination, conventional image and video processing methods cannot be applied directly in deepwater video. The proposed research intends to alleviate the drawbacks of the low light saturation to obtain a clear vision.



Proposed Research Project (3): Feature Extraction and Representation for Human Action Recognition

Description: In this project, we would like to propose a new framework for the real-time realization of human action recognition. New feature descriptors are developed that are tolerant for illumination change which can be run in various configurations on a platform suitable for use as an embedded system. This proposed framework will also be extended to support multiple camera in order to improve the accuracy.





Staff Name: Chen Lihui


Proposed Research Project (1): NLP and Machine Learning Techniques for Sentiment Analysis

Description: Sentiment Analysis is a prominent task in the field of Natural Language Processing (NLP) which refers to the process of identifying opinions expressed on an entity or a topic through text. In recent years, identifying sentiments towards a particular aspect of an entity is getting attention from both industry and academia. Performing sentiment analysis at this finer level is indeed useful for stake holders to improve their products. This project focuses challenging issues in semi-data-driven, aspect based sentiment analysis by proposing novel techniques in NLP and machine learning.

Staff Name: Gan Woon Seng


Proposed Research Project (1): Acoustic and Audio for Smart Nation Deployment

Description: With the advent of powerful and low power processing unit, edge intelligence is becoming feasible in many smart nation deployment. In this research project, we research into the audio classification model to detect multiple audio sources in the urban environment. This PhD project proposal consists of many highly technical research areas of formulating of deep learning models for auditory event analysis and develop real-time platform to validate the research ideas in a real-world environment.

Staff Name: Gan Woon Seng


Proposed Research Project (2): Active Noise Control Window

Description: Active noise control window is being pioneered in the School of EEE, NTU to tackle noise mitigation in residential building. In this project, we take a holistic research approach in solving the active noise control issues, which include sensor and actuator configuration and positions, MIMO adaptive filtering, and both objective and subjective performance evaluation. New neural network techniques will also be proposed to achieve a practical deployment in the real environment.



Staff Name: Hung Dinh Nguyen


Proposed Research Project (1): Simple cooperation scheme for coupled infrastructure

Description: The interdependence among critical infrastructure becomes more profound due to the evolution of modern cities. As each domain is mainly regulated by its own operator, the existing operating scheme is not ready to accommodate such level of interdependence. This project aims to design simple communication rules which ensure feasibility of the physical coupling while protecting the privacy of individual domain. The considered infrastructure includes power systems, transportation systems, and possibly water networks. Prerequisites: power systems and controls. A strong mathematics background is preferred.

Staff Name: Jiang Xudong


Proposed Research Project (1): Machine learning based feature extraction from image and audio signal

Description: Feature extraction takes a key role in the image and audio signal recognition. Yet there lacks effective techniques to extract discriminative and reliable features from image and audio signal because we have very limited expert knowledge about these features. Machine learning from database is a solution. However, how to make the learning results from a specific database general to the whole population is a challenging research issue worth to be investigated. Project Outline: Study the traditional techniques in feature extraction from image and audio signal; Study various machine learning approaches in feature extraction and dimensionality reduction; Explore the limitations and problems of the state- of-the-art technologies in these two areas; Develop robust new approaches to solve generalization problem of the machine learning in feature extraction. Evaluate and apply the developed approaches on the image object detection, recognition and speech recognition.






Proposed Research Project (2): High-dimensional, Incomplete And Unbalanced Data Analysis

Description: In many real applications such as visual object detection and recognition, bioinformatics, and data mining, high data dimensionality imposes great burdens on the robust and accurate recognition due to insufficient knowledge about the data population and limited number of training samples. Incomplete data and/or unbalanced data make the knowledge discovery from the data even more difficult. They often cause biased estimation. While there are some techniques to handle the issues of high dimensionality of the data, problems of incomplete data and/or unbalanced data are new, which are very challenging and not well studied. This project aims at solving these challenging problems by generate novel techniques in machine learning, statistical estimation and pattern recognition.



Proposed Research Project (3): Sparse Representation and Dictionary Learning for Computer Vision

Description: Sparse signal representation has proven to be an extremely powerful tool for acquiring, representing, and compressing high-dimensional signals. This success is mainly due to the fact that important classes of signals such as audio and images have naturally sparse representations with respect to fixed bases. In computer vision, we are often more interested in the content or semantics of an image rather than a compact, high-fidelity representation. Representing a signal involves the choice of a dictionary, which is the set of elementary signals used to decompose the signal. When the dictionary forms a basis, every signal is uniquely represented as the linear combination of the dictionary atoms. This project aims at solving difficult computer vision problems through the sparse representation of images based on proper learnt dictionary.





Staff Name: Law Choi Look


Proposed Research Project (1): Ultra-low power wireless communication devices for E-sensing in dense cluttered environments

Description: Indoor environments and underground environments are examples of dense cluttered environments. These environments are known to be hostile to wireless communication signals due to multipath signals. Current low power wireless communication technologies such as ZigBee and Bluetooth are highly susceptible to multipath signals (suffers from flat fading), resulting in degraded performances. Wide bandwidth signaling (such as OFDM) is currently used to overcome the impairments caused by multipath signals. However, complex transceiver circuits are used resulting in increased power consumption. Ultra-wideband impulse radio (UWB-IR) is an innovative signaling method whereby the carrier frequency is turned on for a few cycles in a data symbol. This short pulse duration results in multipath signal arrivals which do not interfere with the direct path transmission. Precise ranging based on time of arrival of the direct path signal can also be extracted. The objective of this proposed project is to investigate hardware circuits for energy efficient transmission of environmental data (e.g. temperature, light intensity, etc.) from numerous spatially distributed sources to a central receiver using UWB-IR signals. The investigations include novel circuits for energy efficient generation of UWB-IR electromagnetic waves with superimposed data modulation and energy harvesting circuits for powering up the data source. Novel antenna array techniques exploiting the UWB-IR multipath channel characteristics will be investigated to improve the receiver sensitivity.




Staff Name: Law Choi Look


Proposed Research Project (2): Energy efficient large scale wireless sensor network for E-sensing in dense cluttered environments

Description: Indoor environments and underground environments are examples of dense cluttered environments. These environments are known to be hostile to wireless communication signals due to multipath signals. Current low power wireless communication technologies such as ZigBee and Bluetooth are highly susceptible to multipath signals (suffers from flat fading), resulting in degraded performances. Wide bandwidth signaling (such as OFDM) is currently used to overcome the impairments caused by multipath signals. However, complex transceiver circuits are used resulting in increased power consumption. Ultra-wideband impulse radio with its large signal bandwidth and simple transceiver circuits is well suited for ultra-low power wireless communication E- sensing in dense cluttered environments. The objective of this proposed project is to investigate medium access control and network protocols for energy efficient large scale wireless sensor networks with simultaneous nodes localization capability. These wireless sensor networks are expected to work in dense cluttered environments for E-sensing applications such as environmental monitoring, industrial monitoring and target tracking. IR-UWB physical layer will be used in the study. Channel parameters sensed from the IR-UWB signals will be used to optimize time slot allocation in medium access control, multi-hop routing and nodes localization. The study is expected to yield optimized sensor nodes clustering, time slot allocation, delay in sensed information transfer to cluster head and tradeoff with energy usage.




Staff Name: Li Kwok Hung


Proposed Research Project (1): Optimizing Traffic Management of Heterogeneous Wireless Networks

Description: A heterogeneous wireless network consists of devices using various radio access technology. One popular scenario is the inclusion of pico-cell and femto-cell networks within the traditional macro-cell networks. This type of networks is expected to be deployed in the next decade. The mixture of different devices leads to new challenges. There are many interesting issues still to be solved in heterogeneous wireless network such as interference management, dynamic resource allocation and green wireless transmission. The concept of heterogeneous wireless networks also opens up new research possibilities such as efficient and optimized traffic management for individual users to increase overall network performance, and application in the new "Internet of Things" paradigm. The research will focus on solving problems related to heterogeneous wireless networks and also introducing innovations within this new framework to improve the technology overall.

Staff Name: Ma Maode


Proposed Research Project (1): Security Enhancements for the M2M Communication in the Internet of Things

Description: The Internet of Things (IoT) will consist of billions of digital devices, people, services and other physical objects having the potential to seamlessly connect, interact and exchange information about themselves and their environment. It helps to optimize operations, reduce costs, boost productivity and improve lives. IoT represents the next evolution of the Internet, taking a huge leap in its ability to gather, analyze, and distribute data that we can turn into information, knowledge, and, ultimately, wisdom. Thus, in this project, a security scheme will be constructed to improve the security of IoT in the layer of 6LoWPAN with the consideration of large scale structure and resource constraint.






Proposed Research Project (2): Enhancements of Cyber Security for Smart Grid Systems

Description: The smart grid is a promising power delivery infrastructure integrated with communication and information technologies. It could generate enormous economic, environmental and social benefits through the bi-directional communication and electricity flow, as well as the integration of vast distributed energy resources. In order to address such threats, existing security standards and technologies should be closely examined and investigated to ensure the feasibility in the smart grid systems. In addition, new communication protocol or security schemes will be designed supported by popular log ic theorem to prove the correctness, and be tested through simulation to prove the robustness and scalability.



Proposed Research Project (3): Security Enhancements on 5G Wireless Mobile Networks

Description: The 5G wireless network constitutes the next revolution in mobile communications. It is expected to deliver ultra-fast, ultra-reliable network access supporting a massive increase of data traffic and connected nodes. Mobile data traffic from prevailing smart terminals, multimedia-intensive social applications, and cloud services are predicted to grow at a compound annual rate. Recently, densified small cell deployment with overlay coverage through coexisting heterogeneous networks has emerged as a viable solution for 5G mobile networks. However, this multi-tier architecture along with stringent latency requirements in 5G brings new challenges in security provisioning due to the potential frequent handovers and authentications in 5G small cells and heterogeneous networks. The student will be going to focus on security enhancements, fast authentication, latency requirements and authentication handover by using software-defined network because, for 5G, Software-Defined Networks have emerged as a future mobile network architecture.







Proposed Research Project (4): Security Enhancement over Information-Centric Networking

Description: Information-Centric Networking (ICN) is a new networking paradigm, which replaces the widely used host-centric networking paradigm in communication networks, such as Internet, mobile ad hoc networks, with an information-centric paradigm, which prioritizes the delivery of named content, oblivious of the contents origin. Content and client security are more intrinsic in the ICN paradigm versus the current host centric paradigm where they have been instrumented as an afterthought. By design, the ICN paradigm inherently supports several security and privacy features, such as provenance and identity privacy, which are still not effectively available in the host-centric paradigm. However, the ICN paradigm has several open security and privacy concerns, some that existed in the old paradigm, and some new and unique. In this project, the student will investigate the existing literature in security and privacy research sub-space in ICN. Furthermore, the student will design the security schemes to protect the ICN. And the corresponding formal verification needs to be carried out to confirm the design.



Proposed Research Project (5): Investigation on Effective Solutions against Insider Attacks

Description: An insider attack is a malicious attack which may be perpetrated in various wireless networks or control systems by a user with authorized system access. Insiders that perform attacks have a distinct advantage over external attackers because they have authorized system access and also may be familiar with network architecture and system policies/procedures. In addition, there may be less security against insider attacks because many organizations focus on protection from external attacks. The project will first survey the existing security solutions to prevent the insider attacks and intrusion detection systems (IDS) to detect any insider attacks. It will then design and develop an effective security solution to protect a wireless network against insider attacks. The student needs to program to verify the designed solutions.





Staff Name: Soong Boon Hee


Proposed Research Project (1): Network Optimization for interference Management for Heterogeneous Cognitive Networks

Description: Over recent years, there has been a systematic increase of the requirements for the wireless resources requested by the mobile users. This has led to the increasing deployment of dedicated small-cells, where the considered small geographical area is served by low-range access points (or small base stations) creating a heterogeneous deployment hese deployments allow significant capacity enhancements and better coverage conditions that can be particularly beneficial for enhancing the bit rates of the users (spectral efficiency) that are located at the edges of the macrocells. Such advanced topologies composed by multiple cell sizes and involving the combination of different radio access technologies are usually known as heterogeneous networks or simply as HetNets. While some of the small-cells devices are deployed and installed by the operators e.g. in the street infrastructure, others (e.g. femtocells) are installed directly by the end-users offering portability and exclusive access to the spectrum within the user premises. On the other hand significant reduction of the cell radius results immediately in transmit power decrease as well as in creating of high potential for smart and effective resource and interference management to increase the system capacity. Moreover, the application of various wireless technologies used by the end users for spectrum access provides to the cellular network operators attractive opportunity for efficient traffic offloading to e.g. WiFi networks. Several research problems for this research work involves to for these heterogeneous networks i.e. cognitive radio technologies for small-cells, Interference management and mitigation issue and Game theoretic algorithms management of dynamic spectrum allocation. Students should have a good background in research and programming.




Staff Name: Soong Boon Hee


Proposed Research Project (2): Design of Ambient Wireless Sensor Networks

Description: Recent advances in hardware and wireless technology bring us the phenomenal reality of accesses information anywhere, anytime through the collection of wireless sensor nodes (WSNs), RFID tags that forms the collection of Internet of Things. These networks are form by ad hoc sensor nodes deployed in an fashion in our environment for physical sensing and monitoring purposes to achieve a functional objectives. There are numerous applications for these smart sensor enabled devices with RF enable wireless communication capabilities that would help connect a large number of measurement points at low cost without the need for cabling so that conducting measurement e.g. in unsafe or harsh environment is of special interest. The research would involve the design and development of wireless sensor interfaces that would be helpful for the following technologies e.g. wireless USB, health monitoring, location tracking and surveillance. This would be extended to multiple sensors that enable fusion of information and processing. The scope of research include the following (1) Study Ambient Wireless Sensor Systems (2) Design of DSP algorithms in embedded systems, data management and storage, diagnostic decision making. Students should have a good background in research and programming.

Staff Name: Teh Kah Chan


Proposed Research Project (1): Studies robust and energy-efficient cooperative communication systems over fading channels

Description: In this project, student will first conduct literature survey on existing cooperative communication systems. Some existing results will also be reproduced and compared. The effect of fading channel will be taken into consideration. Following that, new robust and energy-efficient algorithms will be proposed to improve the system performance. The corresponding system performance and complexity will be compared with some existing techniques.





Staff Name: Teh Kah Chan


Proposed Research Project (2): Development and study of novel frequency-hopped multiple-access receiver

Description: Recently, frequency-hopped spread-spectrum systems have been widely used in commercial and military applications. In this project, the student will first conduct literature survey on existing frequency-hopped multiple-access systems. Following that, the student will study and develop a novel receiver structure for frequency-hopped multiple-access systems over fading channels. Maximum-likelihood receiver will be proposed and Matlab simulation will be conducted to study the bit-error rate performance of the proposed receiver structure.

Staff Name: Wei Lei


Proposed Research Project (1): Multimaterial fibres for high power mid-wave and long-wave infrared transmission

Description: The broad objective of the proposed research is to fundamentally address the needs and challenges for developing low-loss and flexible specialty optical fibers in mid-wave and long-wave infrared region. By strongly confining light to a hollow core and suppressing materials absorption and nonlinearities, the resulting fibers can deliver high-peak power laser pulses in the wavelength range of 2-15 μm for various applications in medical treatment, industry processing, space science, sensing.




Staff Name: Wei Lei


Proposed Research Project (2): Structured functional spheres generated by an in-fibre fluid instability (Electronics and Info-Communications)

Description: The scope of this project is to study a new approach to realize in-fiber capillary instabilities and to harness this effect to fabricate functionalized micro-/nano-structures. The key objectives of the project include:

To fundamentally study the in-fiber capillary instabilities using simulation tools.

To design and fabricate fibers comprising different materials with different viscosities.

To build up the experimental setup to achieve in-fiber capillary instabilities.

To apply the produced functionalized structures for chemical sensing and biomedical applications.

Staff Name: Xiao Gaoxi


Proposed Research Project (1): Resilience of complex systems: evaluation and enhancement

Description: There is no commonly accepted definition of what is system resilience though more and more people are talking about it. This project aims to develop a set of methods for measuring system resilience and predicting the system behaviors under disasters, as well as enhancing system resilience in average and worst cases respectively.



Proposed Research Project (2): Coevolution of opinions and connections in complex social networks

Description: In this project, we shall study on the complex dynamics of the co-evolution of opinions and their underlying social networks. Benefiting from the latest developments in complex systems and multi-agent systems, we shall propose new models and novel analyses that will provide useful insights into the interesting co-evolution of social opinions and social networks.







Proposed Research Project (3): Control and controllability of complex networks and applications

Description: In this project, we shall study on the control and controllability problems for complex systems and their applications. We shall investigate the possibility of developing new distributed, fault-tolerant methods to achieve effective, robust and scalable control of various complex systems.

Staff Name: Yap Kim Hui


Proposed Research Project (1): Mobile Media Visual Object Search

Description: The growing usage of mobile devices has led to proliferation of many mobile applications. Amongst them, mobile media visual object search is an emerging application that is receiving growing attention recently. The objective of mobile visual search is to recognize the objects of the captured images, and then retrieve relevant information of the recognized objects. An example of such applications is mobile consumer product recognition and recommendation service where the user can capture the image of a consumer product (e.g. book/CD/DVD cover, logo, advertisements, etc.) and then use the system to recognize it and retrieve relevant information such as the brand name, the price comparison and recommendation, the shops nearby selling the product, etc. The project will study key issues including visual content analysis, large-scale visual search and recognition, and user- system interaction. An example of the developed system similar to this project can be viewed at Google Goggle Lab video http://www.youtube.com/watch?v=9apkpwDRI10.



http://www.youtube.com/watch?v=9apkpwDRI10





Proposed Research Project (2): Media Content and Context Analysis and Applications

Description: The objective of this project is to study and develop content and context analysis for mobile media applications. In particular, it aims to develop and transform a mobile device into a portable information terminal that renders various situation-aware mobile services, e.g. mobile landmark recognition, augmented-reality city guide, and consumer product recognition. The project will investigate key issues including content and context analysis, efficient visual search and recognition, and user-system interaction. An example of the developed system similar to this project can be viewed at Google Goggle Lab video http://www.youtube.com/watch?v=9apkpwDRI10. The project will also aim to address the challenges of mobile environments including low/moderate processing power of mobile devices, fast response-time requirement of users, and limited battery life of mobile phones.



Proposed Research Project (3): Artificial Intelligence in Visual Search, Recognition and Retrieval

Description: This project aims to develop artificial intelligence techniques in visual search, recognition and retrieval. The project will investigate issues including deep learning, convolutional neural networks, deep metric learning, etc., in selected domain applications.



Proposed Research Project (4): Deep Learning in Visual Action Recognition and Event Detection

Description: This project aims to develop deep learning methods in visual action recognition and event detection. The project will investigate issues including convolutional neural networks, recurrent neural networks, 2-stream CNNs, 3-D CNNs, etc., in visual action recognition and event detection.


http://www.youtube.com/watch?v=9apkpwDRI10







Proposed Research Project (5): Deep Feature Representation and Learning Methods in Visual Analytics

Description: This project aims to develop deep feature representation and learning methods in visual analytics. The project will investigate issues including deep learning, feature representation, convolutional neural networks, deep metric learning, etc., in selected visual analytics applications.


phd project proposals: info-communications...(1) using special bioinspired camera such as atis1,...

Documents