Name | Research Interests |
Asst Prof Abdulkadir C. Yucel | (i) Fast frequency and time domain electromagnetic simulators with applications to the VLSI/microwave/terahertz circuits, biomedical, photonics, wireless channel characterization, and analysis of highly inhomogeneous media.
(ii) Applications of machine learning, deep learning, and uncertainty quantification techniques to the electromagnetics |
Dr Anders Gustavsson | Mathematics: Potential Theory and its application in rational and harmonic approximation.
Mathematics Education: Is Team Based Learning effective in teaching mathematical reasoning. |
Assoc Prof Andrew James Kricker | Prof. Kricker's most significant research interest lies in the mathematical ramifications of current developments in mathematical and theoretical physics. To be precise, he is interested in the ramifications of certain developments in quantum field theory and quantum gravity in the fields of topology, algebra, and combinatorics. Prof. Kricker's particular speciality is in so-called "quantum topological invariants". These are invariants of knots, 3-manifolds, and various other low-dimensional topological structures, that arise from Topological Quantum Field Theories. More generally, he has a considerable general interest in the fields that surround this topic: knot theory, the theory of low-dimensional manifolds, Lie algebras, Hopf algebras, representation theory, homological algebra, algebraic combinatorics, and so on. |
Assoc Prof Ang Whye Teong | W. T. Ang's general research interest is in applied and engineering mathematics. Specific research topics that he has worked on include boundary integral equation methods, stress analysis around cracks, heat transfer with applications to modern engineering and biological systems, analyses of advanced materials (such as functionally graded materials and piezoelectric materials) and non-classical boundary value problems in physical and engineering sciences. |
Asst Prof Ariel David Neufeld | His research focuses on:
-Machine Learning Algorithms in Finance and Insurance
-Model Uncertainty in Financial Markets
-Annuity Contract Theory
-Financial & Insurance Mathematics
-Stochastic Analysis & Stochastic Optimal Control |
Assoc Prof Arindam Basu | Low-power Reconfigurable Mixed-signal design, Neural recording systems, Computational neuroscience, Nonlinear dynamics, Smart sensors for hearing-aids/ultrasound etc, Neuromorphic VLSI |
Asst Prof Bei Xiaohui | Computational economics, social networks analysis and general algorithm design. |
Prof Bernhard Schmidt | Finite Geometry
Coding Theory
Algebraic Number Theory
Computing |
Assoc Prof Chan Song Heng | Dr Chan's areas of expertise are Number Theory, Combinatorics, and Special functions. His current research works focus on sums of squares formula, the partition function and various related functions, and q-series which includes modular forms, theta functions, and basic hypergeometric series. |
Mr Chen Ziwen | Mathematics |
Assoc Prof Chew Lock Yue | Dr Chew research interest is to investigate and uncover the fundamental physical mechanisms and organization principles of complex systems. He explores and elucidates the underlying behaviour and dynamics of these systems through theoretical modelling based on statistical and nonlinear physics. His current research focus is on the topic of: quantum complexity; quantum chaos and entanglement; statistical physics of protein aggregation; critical phenomena in social and coupled social-ecological systems; complexity measure and characterization of complex systems. |
Assoc Prof Chua Chek Beng | Prof. Chua studies the theory of continuous optimization, and develops efficient solution methods for several types of optimization models. He has designed and analyzed interior-point algorithms for semidefinite optimization, symmetric cone optimization and homogeneous cone optimization. He studies the possibility of applying homogeneous cone optimization on various problems where semidefinite optimization models are used. This study is partly driven by the possible reduction in the size when semidefinite optimization models are solved as homogeneous cone optimization problems, hence allowing large-scale problems to be solved via homogeneous cone optimization. He also investigated and proved several properties of the primal-dual central paths for semidefinite optimization and homogeneous cone optimization. These properties are useful in the study of local convergence behaviour of path-following algorithms. |
Assoc Prof Fan Hui | Prof. Fan has been conducting research in the area of solid mechanics for over 20 years. His publications touched topics: fracture mechanics, mechanics of composites, micromechanics of defects in the solids, and multi-physics. |
Dr Fedor Duzhin | Dr Fedor Duzhin's research interest is pure mathematics, mostly topology. Recently he has been working in areas like mathematical billiards and Artin's braid group. |
Assoc Prof Frederique Elise Oggier | Dr Oggier's research interests are in applications of algebra and number theory to coding and security. |
Prof Fung Tat Ching | Prof Fung's areas of expertise are Computational Mechanics and Structural Engineering. His current research works focus on structural behaviour of tubular joints and the design of higher order time-step integration algorithms. |
Dr Gary Royden Watson Greaves | Algebraic Combinatorics and Number Theory |
Asst Prof Gu Mile | One of the most remarkable facts about the universe is that it can be simulated on a computer. No matter what systems we study, whether it is the dynamics of planets or that of fluids, the rise of fall of tides or stock markets, they all can be simulated by a computer. This fact fascinates me.
After all, a computer is typically built out of silicon; it runs via the electro-magnetic force. What a priori reason would it allow us to understand the motion of planets governed by gravity, fundamental particles govern by the strong and weak force? This universality is, when you think about, rather remarkable. Somehow, everything we know around us, can be reduced to the processing of information.
My research interests are motivated by this remarkable observation. Can we find interdisciplinary laws that span multiple disciplines through the understanding of how nature fundamentally processes information? Some current directions:
On outset, Quantum and complexity science appears to be very different. The former details with objects at the atomic scale – atoms, electrons and photons. The latter, on the other hand, is typically associated with macroscopic systems is many interacting components – the weather, traffic, stock markets.
Yet the two science, in fact, an intimately linked; both are bring transformed by the study of information. In quantum science, new information theoretic techniques have allowed the `second quantum revolution’; heralding exciting new quantum technologies such as quantum cryptography and quantum computation. Meanwhile, in complexity science, researchers’ new ways of understanding just how massive systems interact with each other by seeing how they transform and process bits of data.
My interest is to unite these two fields – by forging new connections. Can quantum computation lead to new ways of understanding complex systems? Can the use of methods of complexity science help us understand how quantum computer’s get their power and bring forth new quantum technologies?
For more information, see
https://www.newscientist.com/article/mg22429950-200-quantum-logic-its-simpler-to-be-two-things-at-once
What Makes Quantum Computers Powerful?
What are the resources behind Quantum Advantage? Quantum computers are heralded to do many things that classical computers cannot, but what resource powers this advantage? For a long time, people thought that the main culprit is quantum entanglement – the unique quantum phenomena where the realities of two spatially separated particles are closely linked. Yet we now see that this may not be the full story. DQC1, for example, seems to allow us to compute the normalized trace of an exponentially large matrix in efficient time – and yet contain negligible entanglement. Meanwhile quantum illumination allows the better detection of faint particles far away in regimes so noisy that entanglement cannot survive. What other resources are associated with improved quantum advantage? We are interested in this question both for practical and foundational concerns. On the one hand, it can lead to noise resilient quantum technologies; on the other it may tell us fundamentally what is quantum. |
Asst Prof Guo Jian | - Symmetric-Key Cryptography
- Cryptanalysis
- Quantum Attacks
- Lightweight Cryptography
- FHE/MPC Friendly Designs |
Assoc Prof Ho Moon-Ho Ringo | Assoc Prof Ho Moon-ho's research interests are concerned with the development and application of quantitative methods, in particular, multilevel modeling, resampling methods, structural equation modeling, and time-series analysis in the neural and behavioral sciences. His current research work focuses on neuroinformatics research, in particular, the theoretical development and applications of multivariate time series analysis method for extracting meaningful information from complex brain imaging data. |
Assoc Prof Huang Weihong | Dr. Huang has wide research interests ranging from microeconomics, industrial organization, financial economics, public economics to nonlinear economic dynamics. Recently, Dr Huang has devoted much time and effort to reexamine the economic behaviors from the perspective of ancient Chinese philosophy. In recent years, he has devoted his most effort in incorporating ancient philosophical wisdom to the analysis of the economic behaviors. |
Assoc Prof Hui Siu Cheung | Assoc Prof Hui Siu Cheung's areas of expertise are data mining, Web mining, information retrieval, natural language processing, mathematical data mining, intelligent tutoring systems and Semantic Web. His current research works focus on information retrieval, text mining, natural query processing and Semantic Web. |
Asst Prof Hung Dinh Nguyen | Complex systems, nonlinear dynamics and stability; power system operation, control, and optimization; Dynamic Security Assessment/Energy Management System; and smart grids. |
Prof Jagath Chandana Rajapakse | Professor Rajapakse's areas of expertise are machine learning, brain imaging, and computational and systems biology.
Professor Rajapakse has pioneered several techniques for analysis of anatomical and functional MR images. His team was the first to develop techniques to model brain connectivity in an exploratory manner, using functional MR images. Presently, his team is investigating brain connectivity patterns underlying higher-order brain functions such as language and memory, and brain disease such as Parkinson's disease. He is also working on potential applications of brain connectivity and constrained independent component analysis (cICA) in Brain Computater Interface applications, especially in identifying different mental states and extracting features robust to inter- and intra-subject variations.
Professor Rajapakse is presently working on identifying key targets in biological pathways. His research is centered on identifying co-regulated genes, building gene regulary networks, fusion of protein-interactions, and identifying key molecules and core networks in pathways. His team also develops techniques to segment cells and nuclei, identify protein subcellular localizations, and model spatiotemporal changes of cell morphologies from cellular images obtained from electron microscopy and high content screening. |
Assoc Prof Justin Dauwels | His research interests are in Bayesian statistics, iterative signal processing, and computational neuroscience.
Some of the projects include:
- Mathematical modeling of the start and ending of epileptic seizures
- Diagnosis of Alzheimer's disease from EEG signals
- Machine learning techniques for guiding neurosurgery
- Detection of mental states from EEG signals
- Tracking and predicting traffic in dynamic urban networks
- Data-driven dynamical models of human behavior
- Tracking and control of synthetic cell tissue
- Copula-based modeling of extreme events
- Copula-based graphical models |
Asst Prof Kiah Han Mao | Coding Theory
- Design and analysis of encoding and decoding schemes.
- Bounds on the size and constructions of optimal codes.
Combinatorics
- Construction of combinatorial designs with application to codes.
- Methods in enumerative and extremal combinatorics. |
Dr Ku Cheng Yeaw | Dr Ku's research interests lie in combinatorics and graph theory. He is interested in matching polynomials, extremal problems for permutations and related combinatorial structures, probabilistic and algebraic methods used to understand these structures. |
Assoc Prof Kwoh Chee Keong | Development of a Computer Prediction System For Rational Design Of HLA-Based Peptide Vaccine;
Data Mining and Analysis on Infectious Disease
Heterogeneous Multi-Core Systems For Bioinformatics
Constrained Optimzation for Bioinformatics
Protein Interaction Network Analysis Using Graph Mining Approaches |
Dr Le Hai Khoi | Dr. Le Hai Khoi's areas of expertise are Complex Analysis in Several Variables, and Mathematical Foundations of Information Technology. His current research works focus on a theory of representing systems and Dirichlet series in several complex variables as well as applications to functional equations. He also works on some problems related to harmonic functions. |
Dr Leon Chuen Hwa | Dr. Leon current research interests are in the areas of asset pricing, financial modeling, investment, portfolio and risk management. |
Mr Lim Kim Song | I'm interested in the interaction between Geometry, Topology and Physics.
Currently, I've some interest in string theory, in particular on the compactification of Superstring and M theory via threefold Calabi-Yau manifold in complex geometry as well as its mirror counterpart in symplectic geometry.
Understanding relativity, classical and quantum mechanics through symplectic geometry are also some of my wishes.
I'm also keen to look at the application of the Atiyah-Singer Index theorem to resolve anomalies that arises in theoretical physics, especially those appear in (two dimensional) conformal field and gravitational theory. |
Assoc Prof Lin Zhiping | Dr Zhiping Lin's research interests include multidimensional systems and signal processing, array and radar signal processing, and biomedical signal processing. |
Prof Ling San | 1. Applications of algebra and number theory to combinatorial designs, coding theory, cryptography and sequences
2. Arithmetic of modular curves and Galois representations |
Mr Linus Ker Jian Ting | Analytic Number theory, mostly towards the study of Hecke-Rogers Type Series Representations. Special interest towards practicing mental arithmetic/fast speed calculations. |
Dr Loke Yuan Ren | Computer Vision, Image Processing, Machine Learning, Embedded Vision System |
Assoc Prof Luo Jun | - Wireless Networking
- Network Modeling and Performance Evaluation
- Applied Operations Research
- Network Security |
Assoc Prof Ng Keng Meng | Dr. Ng's main research interest is in computability theory, a branch of mathematical logic. He is interested in the theory of computation, particularly in descriptive and algorithmic complexity. He works in classical and applied computability theory, and in algorithmic information theory and randomness. He is also interested in reverse mathematics and the application of computability theory to combinatorics and analysis. |
Prof Nicolas Privault | Stochastic analysis, probability, mathematical finance |
Prof Pan Guangming | Assistant Professor Pan Guangming's areas of expertise are random matrices theory, limiting theorem and multivariate analysis. |
Prof Peter M. A. Sloot | I try to understand how nature processes information. I study this 'natural information processing' in complex systems by computational modeling and simulation as well as through formal methods. My work is applied to a large variety of disciplines with a focus on -but not limited to- Biomedicine. Recent work is on modeling the virology and epidemiology of infectious diseases, notably HIV, through Complex Networks, Cellular Automata and Multi-Agents. Recently in my work I try to build bridges to socio-dynamics. Currently I lead two large EU projects: ViroLab and DynaNets and supervise research from various NIH, NSF and NWO and Royal Academy projects.
See: http://www.peter-sloot.com/ |
Assoc Prof Pina Marziliano | - Digital signal and image processing
- Sampling theory and applications
- Biomedical signal and image processing
- Watermarking and information security
- Perceptual quality metrics for multimedia |
Asst Prof Pun Chi Seng | Financial Mathematics: Robust Stochastic/Impulse Controls, Time-Inconsistency, Systemic Risk Measures, Perturbation Methods, Derivatives Pricing
Big Data Analytics, esp. in Finance: High-Dimensional Statistics, Functional Time Series Analysis, (Statistical, Deep, Sparse) Learning, Topological Data Mining
Financial Technology (FinTech): AI+Finance |
Prof S Viswanathan | Inventory Management, Joint Replenishment Inventory Systems, Corporate Sustainability, Sustainable Operations, Closed Loop Supply Chains, Manufacturing Systems, Urban Mobility, Optimization, and Transportation Scheduling.
CV and full list of publications can be found at this link:http://www.ntu.edu.sg/home/asviswa/Vish_CV_Full_Web.pdf |
Assoc Prof Shu Jian Jun | Associate Professor Jian-Jun SHU's areas of expertise are Applied Mathematics, Thermo-Fluid Mechanics and Biophysics. His current research works focus on Biomolecular Mediated Computer, Mathematical Strategame Theory and Nano/Micro Fluids.
My published works have inspired articles, interviews, editorials worldwide. See some selected links below:
The next step in DNA computing: GPS mapping? http://www.acs.org/content/acs/en/pressroom/presspacs/2015/acs-presspac-may-6-2015/the-next-step-in-dna-computing-gps-mapping.html
The next computer: Your genes http://www.physorg.com/news/2011-05-genes.html
Efficient DNA-based computing could replace silicon http://www.popsci.com/science/article/2011-05/faster-more-efficient-dna-based-computing-could-replace-silicon
Is DNA computing going to terminate Internet banking? http://arstechnica.com/science/news/2011/05/is-dna-computing-going-to-terminate-internet-banking.ars
Computing with DNA http://kemo-d7.livejournal.com/1190416.html
DNA计算机： 计算的未来 http://sztqb.sznews.com/html/2011-05/30/content_1593552.htm (in Chinese-中文)
DNA是计算的未来 http://www.mittrchinese.com/single.php?p=61864 (in Chinese-中文)
科学家拟造DNA环保电脑 http://newspaper.jfdaily.com/xwcb/html/2011-08/31/content_646298.htm (in Chinese-中文)
Computadoras del futuro estarán basadas en ADN http://www.tecnopc.org/noticias/computadoras-del-futuro-estaran-basadas-en-adn/ (in Spanish-Español)
Futuros computadores pueden ser a base de ADN http://buscandoladolaverdad.blogspot.com/2011/05/futuros-computadores-pueden-ser-base-en.html (in Spanish-Español)
La siguiente computadora - Tus genes http://www.neotroid.com/index.php/tecnologia/la-siguiente-computadora-tus-genes.html (in Spanish-Español)
Computadoras con base en ADN http://www.zonafranca.mx/computadoras-con-base-en-adn/ (in Galician-Galego)
Calculatoarele viitorului ar putea fi pe bază de ADN http://totb.ro/?p=12767 (in Romanian-Română)
ДНК — Будущее вычислительной области http://compblog.ilc.edu.ru/blog/science/2108.html (in Russian-Русский)
ДНК-Компьютер идет на смену своему кремниевому собрату? http://globalscience.ru/article/read/19396/ (in Russian-Русский)
Der nächste computer- Unsere gene! http://www.denkmaschinen.ch/2011/05/17/der-nachste-computer-unsere-gene/ (in German-Deutsch) |
Assoc Prof Tan Eng Leong | Computational electromagnetics/optics/acoustics - FDTD, ADI/LOD/SS, fundamental implicit schemes, hybrid matrix, scattering matrix; Multilayered biisotropic media, bianisotropic media, photonic crystals, phononic crystals, periodic structures; RF/microwave circuit design |
Dr Tan Geok Choo | Past Interests: Category Theory (Reflective Subcategory), P-localization of Groups; Henstock Integration.
Present Interests: Applying mathematics to other disciplines. |
Dr Tang Wee Kee | Banach Space Theory |
Dr Tay Kian Boon | • Public Key algorithms
• Security of crypto algorithms, protocols & Random Number Generators
• Discrete Math (combinatorics, number theory)
• Mathematical analysis |
Dr Teo Chee Chong | Dr Teo's area of expertise are in the application of operations research to solve problems in supply chain, production and service operations. Recent interests also include pedagogical research on creative problem solving and critical thinking.
Current research projects include the following:
1. CREATIVE PROBLEM SOLVING IN OPERATIONS MANAGEMENT EDUCATION (with Seng Chee Tan, Xinghua Wang and Jason Lee Wen Yau) (Funded by NTU EdeX Teaching & Learning Grant)
2. INVENTORY SHARING: A Lending System for Multi-Period Inventory Sharing between Independent Retailers (with Zhibin Zhang and Tat Ching Fung)
3. E-COMMERCE LOGISTICS: Overcoming the Challenges of Last-mile E-commerce Urban Logistics (with Yiik Diew Wong)
4. CONTAINER SHIPPING: Optimizing Hedging and Service Design for Container Shipping in Countering Bunker Fuel’s Price Volatility (with Xiaoyu Wang and Zhibin Zhang) |
Asst Prof Tong Ping | Numerical methods, inverse problems, seismic imaging (migration+tomography), time-series analysis |
Assoc Prof Viet Ha Hoang | Assistant Professor Hoang Viet Ha ares of expertise is multiscale problems, multiscale computations, homogenization, random partial differential equations. Currently he is working on some computational problems for multiscale problems using sparse finite elements and wavelet. |
Assoc Prof Wang Huaxiong | Cryptography Information Security, Coding Theory, Combinatorics, Theoretical Computer Science |
Assoc Prof Wang Li-Lian | Dr. Wang's research focuses are centered around the design, analysis and implementations of efficient computational methods for problems in fluid dynamics, electromagnetics and finances. His recent research interest is also with variational and PDE-based image processing. |
Asst Prof Wang Wenjie | Econometric Theory, Machine Learning, Applied Econometrics, Policy Evaluation, and Behavioral Economics. |
Asst Prof Wen Bihan | 1. Machine Learning
- Deep learning, Transform learning, Dictionary learning, Tensor modeling, etc.
2. Image and Video Processing
- Denoising, Super-Resolution, Inpainting, Restoration, etc.
3. Computer Vision
- Robust classification / segmentation, Object detection, Crowd counting, Image retrieval, etc.
4. Computational Imaging
- Magnetic resonance imaging (MRI), Computed tomography (CT), X-Ray, Synthetic-aperture radar (SAR), etc.
5. Inverse Problems
- Blind compressed sensing, Ill-posed inference, Data reconstruction and modeling, etc.
We are ALWAYS looking for GOOD and Highly Self-Motivated
a) PhD students
b) Post-doc Research Fellows
c) Research Associates / Project Officer
If you are interested of working with me, please send your resume / CV. Only qualified candidates will be contacted. |
Assoc Prof Wong Jia Yiing, Patricia | Dr Wong has vast research experience in differential equations, difference equations, integral equations, dynamic equations on time scales, as well as numerical mathematics and inequalities. In the earlier years, Dr Wong worked in the fields of numerical mathematics and inequalities, particularly in splines and error inequalities of polynomial interpolation. The work done is documented in the monograph [1]. Later she has been working on differential and difference equations, focusing on the oscillatory behaviour and also the existence of solutions under various boundary conditions. Recently, in addition to differential and difference equations, Dr Wong also works on integral equations, as well as dynamic equations on time scales, which include differential and difference equations as special cases. The results of the recent work, particularly on the existence of solutions of boundary value problems, have applications to a wide spectrum of physical problems. The work is ongoing, those completed till 2013 is documented in the monographs [2]--[4]. Dr Wong has published 4 monographs and more than 200 research papers in international refereed journals. Presently, Dr Wong serves on the editorial board of Advances in Difference Equations (USA), Boundary Value Problems (USA), Abstract and Applied Analysis (USA), Advances in Dynamical Systems and Applications (USA), and International Journal of Differential Equations (USA).
1. Agarwal, R.P. & Wong, P.J.Y. Error Inequalities in Polynomial Interpolation and their Applications. Kluwer Academic Publishers, Dordrecht (1993), 365 pp.
2. Agarwal, R.P. & Wong, P.J.Y. Advanced Topics in Difference Equations. Kluwer Academic Publishers, Dordrecht (1997), 507 pp.
3. Agarwal, R.P., O'Regan, D. & Wong, P.J.Y. Positive Solutions of Differential, Difference and Integral Equations. Kluwer Academic Publishers, Dordrecht (1999), 417 pp.
4. Agarwal, R.P., O'Regan, D. & Wong, P.J.Y. Constant-Sign Solutions of Systems of Integral Equations. Springer, New York(2013), 648 pp.
5. Wong, P.J.Y. Three fixed-sign solutions of system model with Sturm-Liouville type conditions. Journal of Mathematical Analysis and Applications, USA (2004), 298: 120 - 145.
6. Wong, P.J.Y. Multiple fixed-sign solutions for a system of difference equations with Sturm-Liouville conditions. Journal of Computational and Applied Mathematics , Netherlands (2005), 183: 108 - 132. |
Asst Prof Wong Liang Jie | - Nanophotonics
- Quantum materials
- Free electron waveshaping
- Ultrafast optics
- Nonlinear optics |
Assoc Prof Wu Guohua | Theory and Models of Computation, Recursion Theory, Complexity Theory, Mathematical Logic |
Assoc Prof Wu Hongjun | Cryptography, cryptanalysis, computer security |
Assoc Prof Wu Yuan | Prof Wu's research interests are in Actuarial Science, Big Data and Data Mining, Application of Statistics to Business and Finance, and Traffic Accidents Analysis. |
Assoc Prof Xavier Bresson | Data Science
Deep Learning
Artificial Intelligence
Computer Vision
Sparse Convex Optimization
Spectral Graph Theory |
Asst Prof Xia Kelin | The last century has witnessed the tremendous advancement of Biological Sciences. The availability of massive biological data, high-performance computers, efficient computational algorithms, and mathematical and physical models have paved the way for Biological Sciences to undertake a historic transition from being qualitative, phenomenological, and descriptive to being quantitative, analytical, and predictive. Under this transition, modern Mathematical Biology will be fundamentally changed from macroscale modelings (of species, population, disease, blood fluid, etc) to molecular based analysis (of protein, DNA, gene, virus, etc).
Dr. XIA's group focuses on Molecular Based Mathematical Biology (MBMB). The essential idea is to use computational tools from PDE, differential geometry, algebraic topology and statistical learning to study the biomolecular structure, flexibility, dynamics, and functions. His recent interests are topological data analysis (TDA), topology based machine learning/deep learning models, and their applications in drug design. |
Assoc Prof Xiang Liming | Dr. Xiang Liming's areas of expertise are survival analysis, longitudinal/clustered data analysis, mixture modelling and biostatistics. Her current research work focuses on developing semiparametric methods for analysis of survival data subject to complex censoring that arises in health and biomedical studies. |
Prof Xing Chaoping | Algebraic curves over finite fields; application of algebraic geometry and number theory to block coding, quantum coding, space-time coding, cryptograpgy and quasi-Monte Carlo methods; lattice packings. |
Asst Prof Yan Zhenzhen | Interplay between optimization and data analytics; Optimization under uncertainty; Sequential Decision Making; Data Driven Pricing; E-commerce Operations, Supply Chain Management; Health Care Operations; Completely Positive Program |
Asst Prof Yong Ee Hou | My general research interests lies in statistical physics and biophysics. Topics include:
1) Statistical characterization of an energy or attractor landscape.
2) Multi-dimensional Brownian dynamics simulations in exotic energy landscape.
3) Developing mathematical framework for nonequilibrium phenomena.
4) Biomechanics of membrane biogenesis. |
Asst Prof Zhang Hanwang | 1. Multimodal Graph Construction and Inference
2. Learning Compositional Structures in Vision and Language.
3. Multimodal Machine Reasoning |
Asst Prof Zhao Jun | • AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc.
• City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS
• Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation |
Assoc Prof Zheng Jianmin | Dr Zheng's areas of expertise are computer aided geometric design, reality computing, computer graphics, applied geometry, and 3D digital geometry processing. His current research work focuses on T-spline technology and its applications in isogeometric processing, reality computing and 3D capturing, intelligent 3D printing, visualization for AI, and virtual/augmented reality . |
Asst Prof Zhu Wenjun | Systemic risks in finance and insurance; Commodity futures markets; Actuarial ratemaking in agricultural insurance; High dimensional modeling with copulas; Longevity risk management. |