2021 Undergraduate Prospectus
SCHOOL OF SCIENCE AND ENGINEERING 2021
2021 UNDERGRADUATE PROSPECTUS 02 About SSE Content 03 Undergraduate Programmes Electronic Information Engineering Mathematics and Applied Mathematics New Energy Science and Engineering Financial Engineering Chemistry 14 Taught Master’s Programmes Master of Science in Communications Engineering Executive Master of Science in Supply Chain and Logistics Management
16 MPhil/Ph.D. Programmes MPhil-Ph.D. Programme in Mathematics MPhil-Ph.D. Programme in Computer & Information Engineering MPhil-Ph.D. Programme in Materials Science and Engineering 19 Academic Activities
20 SSE Faculty 28 Scientific Research
30 SSE Career 34 Students’ Achievement 36 International Programmes 37 School Activities About School of Science and Engineering
About School of Science and Engineering
he School of Science and Engineering (SSE) adheres To be acknowledged regionally, nationally and internation- to CUHK's excellent academic tradition, keeps pace ally as a first-class centre of scholarship in science and with the international trend of disciplinary develop- engineering whose bilingual, global and interdisciplinary ment, cooperates with well-regarded schools in America, dimensions of teaching and learning, scholarly output and Australia, Canada, etc., references the successful experi- contribution to the community consistently meet standards ences of oversea institutes, recruits high-caliber professors of excellence. globally, builds a unique learning environment that embraces China and the West, and nurtures technology leaders possessing expertise, diverse talents and global visions.
Our mission is to create, advance and disseminate knowl- edge in science and engineering, and to train innovative, forward-thinking, globally-minded and principled scien- tists, engineers and leaders who strive for the betterment of industries and society, thereby serving the needs and enhancing the well-being of the citizens of the Pearl River Delta, China as a whole, and the wider world community.
About SSE Undergraduate Programmes
Electronic Information Engineering
Electronic Information Engineering is a cutting-edge programme that teaches the basic knowledge and skills of electronic information and computer engineering. Students will also have many opportunities to communicate and learn with world-renowned professors and leading industry practitioners inside and outside the classroom. Also, EIE major programme will take advantages of the local industry in the Internet, Communications and other Electronic information areas to provide students with ample opportunities to interact with the local industry, which helps our students to better understand the industry trends and be equipped with entrepreneurship ability.
To cultivate innovative and entrepreneurial talents with international vision, the EIE programme is designed to teach its students modern electronic technology, the principles and practice of computer engi- neering, information transmission and storage, signal processing and analysis, prototype development and technology transfer to commer- cial products. The well-rounded education will enable graduates of this major to further their graduate studies at domestic and foreign gradu- ate schools, as well as practice their profession in the industry such as computers, electronics, information, finance, manufacturing and government agency management.
Undergraduate Programmes EIE Programme provides two streams A Computer Engineering Focusing on the practice and application of com- puter systems. Its main areas cover cloud com- UNDERGRADUATE PROGRAMMES puting, artificial intelligence, robotics, computer networks, image processing, computer-aided design, computer system security, embedded computer systems, and the Internet of Things (IoT). B Electrical Engineering
Through extensive hands-on training, students can develop in various fields in the future includ- ing wireless communications, integrated circuits, signal processing and robotics and so on.
Major Required courses
Computer Engineering Stream
Introduction to Computer Science： Digital Logic and Systems Programming Paradigms Digital Systems Design Laboratory Computer Architecture Microprocessors and Computer Systems Microprocessor System Design Laboratory Fundamentals of Artificial Intelligence
Electrical Engineering Stream
Electronic Circuit Design Principles of Communication Laboratory Systems Microprocessors and Computer Systems
Undergraduate Programmes School Package
General Biology Calculus II General Chemistry Linear Algebra Introduction to Computer Science： Mechanics Programming Methodology Probability and Statistics I Computational Laboratory Calculus I
Major Elective courses
• Simulation • Production Planning and Project Management • Organizational Behaviour • Basic Microeconomics • Signals and Systems • Principles of Communication Systems • Introduction to Microelectronic Circuits • Analog Integrated Circuits • Networks: Technology, Economics and Society • Digital Signal Processing • Digital Communications • Bioinformatics • Discrete Mathematics • Wireless Communication Systems • Introduction to Optical Communications • Introduction to Computer Science: Programming Paradigms • Computer Architecture • Introduction to Coding and Cryptography • Operating Systems • Performance Evaluation of Communication Networks • Database System • Computer and Network Security • Fundamentals of Artificial Intelligence • Telecommunication Switching and Network Systems • Introduction to Multimedia Systems • Network Software Design and Programming • Video Games Design and Development • Multimedia Coding and Networking • Software Engineering • Radio Frequency Integrated Circuits • Distributed and Parallel Computing • Digital Image Processing • Techniques for Data Mining • Engineering Ethics, Safety and Practice • Fundamentals of Machine Learning • Principles of Entrepreneurship • Design and Analysis of Algorithms • Ordinary Di!erential Equations • Mobile Computing and Applications Development • Optimization • Social Networks • Selected Topics in Information Theory • Compiler Construction • Partial Di!erential Equations • Internet Programming and Applications • Electricity and Magnetism • Cloud Computing • Aesthetic and Human Values in Engineering Product Design
Undergraduate Programmes Mathematics and Applied Mathematics
MAT Programme provides three streams: Mathematics standardizes di!erent phenom- ena in the world with rigorous scientific language. It is an indispensable basic tool for Pure Mathematics studying and scientific research, and plays an Working on mathematics itself, including irreplaceable role in the development of geometric studying the spatial form, algebra human history and social life. Entering the studying discrete systems and analysis study- information age, in the screening of big data, ing continuous phenomena. Smart city, financial analysis, risk manage- ment, economic regulation and other aspects, this long-standing discipline still plays an increasingly important role. The programme is designed to educate Applied Mathematics students to acquire both a solid understand- ing of mathematics and the ability to use it. In Studying the basic theories and methods of addition to fundamental mathematical mathematics, using mathematic models, theory, students will be trained in applying computer and digital software to solve realis- mathematical modelling and computational tic problems. methods to formulate and solve practical problems arising in business, finance, govern- ment, engineering, physical science, life science, and social science. Financial Mathematics Using mathematics tools studying finance and conducting quantitative analysis such as mathematical modelling, theoretical analysis and numerical calculation.
Undergraduate Programmes School Package General Biology Computational Laboratory General Chemistry Linear Algebra
Introduction to Computer Mechanics Science: Programming Methodology Core Elective (21 units) Probability and Statistics I
Option A* Option B*
Calculus I Calculus (Extended) I Calculus II Calculus (Extended) II
Major Required courses Pure Mathematics Stream Applied Mathematics Stream Ordinary Di!erential Equation Ordinary Di!erential Equation Elementary Real Analysis Elementary Real Analysis Elementary Real Analysis II Elementary Real Analysis II Abstract Algebra I Optimization Real Analysis Real Analysis Complex Variables Complex Variables Introduction to Geometry and Topology Mathematical Modeling Di!erential Geometry Numerical Analysis Partial Di!erential Equation Partial Di!erential Equation
Financial Mathematics Stream Introductory Econometrics Probability Theory Investment Analysis and Portfolio Management Numerical Analysis Ordinary Di!erential Equation Advanced Statistics Elementary Real Analysis Stochastic Processes Elementary Real Analysis II
Major Elective courses
• Bioinformatics • Physics Laboratory • Physical Chemistry • Electricity and Magnetism • Discrete Mathematics • Electrodynamics • Introduction to Computer Science: • Theoretical Mechanics Programming Paradigms • Quantum Physics • Data Structures • Statistical Mechanics • Fundamentals of Machine Learning • Risk Management with Derivatives • Microeconomics • Simulation Methods for Risk • Economics of Money and Financial Management and Finance Institutions • Stochastic Calculus for Finance and Risk • Financial Management • Probability and Statistics II • Futures and Options • Stochastic Processes • Fixed Income Securities Analysis • Actuarial Science • Financial Data Analysis • Financial Computation • Abstract Algebra I • Abstract Algebra II • Real Analysis • Optimization • Advanced Linear Algebra • Fourier Analysis • Optimization II • Probability Theory • Mathematical Modeling • Selected Topics in Information Theory • Numerical Analysis • Introduction to Geometry and Topology • Number Theory • Graph Theory • Introduction to Coding and Cryptography • Functional Analysis • Di!erential Geometry • Partial Di!erential Equation • Numerical Methods for Di!erential Equations • Stochastic Di!erential Equation Undergraduate Programmes New Energy Science and Engineering
With the scientific and technological progress and further development of energy, how to promote clean and e!cient use of energy, improve the comprehensive e!ciency of energy, and accelerate the opening of energy market and industry upgrading have become the new concerns of energy field. Meanwhile, interconnected technologies are changing the social mode of operation. Therefore, the academia has proposed to “build a smarter planet” , and projects it into the energy area, creating the cutting-edge notion, “smart energy” . It deeply merges internet with energy production, transmission, storage, consumption as well as energy market. This trans-disciplinary programme aims to explore “smart energy system” , the emerging new form of energy develop- ment. It combines the traditional training of physics and materials science with modern element of biological engi- neering, photochemistry and electrochemistry. Courses are designed to integrate new energy study to data computa- tion technique so that students could balance the training between energy and internet technique required by the smart energy system, and adapt the needs for energy-ori- ented composite talents in current job market.
School Package
General Biology General Chemistry Introduction to Computer Science： Programming Methodology Computational Laboratory Calculus I Calculus II Linear Algebra Mechanics Probability and Statistics I
Undergraduate Programmes Major Required courses
Energy Science and Engineering Laboratory Electrical Power Systems Energy Conversion Processes Power Electronics Ordinary Di"erential Equations Physics Laboratory Electricity and Magnetism Electronic Circuit Design Laboratory Basic Circuit Theory Signals and Systems Probability and Statistics II Major Elective courses • Organic Chemistry • Physical Chemistry • Introduction to Computer Science: Programming Paradigms • Operating System • Fundamentals of Machine Learning • System & Control • Principles of Energy Engineering • Heat and Mass Transfer for Energy Systems • Design of Solar Energy Conversion Systems • Electrochemical Energy Conversion • Materials for Energy Applications • Green Engineering and Environmental Compliance • Energy Resources and the Environment • Energy Economics • Power System Stability and Control • Power System Planning • Smart Grid • Electricity Market • Electrical Machines • Introduction to Data Analytics • Optimization • Optimization II • Microstructural Evolution of Materials • Electronic, Optical, and Magnetic Properties of Materials • Nanoscale Materials • Thermodynamics • Fluid Mechanics • Optoelectronics • Stochastic Processes Undergraduate Programmes Financial Engineering*
FE Programme provides two streams
The programme is set up to meet the finance industry’ s demand for gradu- ates with strong quantitative and analytical skills who have the potential to become leaders in the finance industry. Graduates are equipped with sound Quantitative Finance financial modelling and forecasting skills, and are ideally suited to positions and tasks that require strong quantitative and analytical skills such as valua- tion, portfolio analysis, asset allocation, credit analysis, risk modelling, and structured finance. The programme also provides a good foundation for careers in investment banking, commercial and corporate banking and financial services. FinTech
School Package
Introductory Financial Accounting Basic Microeconomics Financial Management Introduction to Computer Science： Programming Methodology Computational Laboratory Calculus I Calculus II Linear Algebra Probability and Statistics I
Undergraduate Programmes Financial Engineering*
Major Required courses
Quantitative Finance Stream FinTech Stream
Introductory Econometrics Discrete Mathematics Investment Analysis and Data Structures Portfolio Management Introductory Econometrics Options and Futures Introduction to Data Analytics Fixed Income Securities Analysis Computational Finance Investment Analysis and Portfolio Management Ordinary Di!erential Equations Market Microstructure and Optimization Algorithm Trading Mathematical Modeling Probability and Statistics II
Major Elective courses：
• Legal Environment, Business Ethics and CSR in China • Discrete Mathematics • Data Structures • Operating System • Database System • Fundamentals of Artificial Intelligence • Techniques for Data Mining • Applied Probability and Stochastic Process in Business • Game Theory • Computer and Network Security • Data and Knowledge Management • Web Analytics and Intelligence • Fintech Theory and Practice • Financial Markets in China and the World • Behavioral Finance • Options and Futures • Fixed Income Securities Analysis • Corporate Finance • Asset Pricing • Market Microstructure and Algorithm Trading • Financial Data Analysis • Financial Computation • FinTech Regulation and Legal Policy • Data Mining for FinTech • Internship • Probability Theory • Stochastics Di!erential Equations • Big Data Marketing • Risk Management with Derivatives • Regression Analysis • Stochastic Process • Time Series
Undergraduate Programmes Chemistry UNDERGRADUATE PROGRAMMES
Chemistry is a central subject of natural science and one of This programme intends to provide undergraduates with the influential areas of modern natural science necessary well-structured, exhaustive, and fundamental training in for connecting scientific and engineering technology. With modern chemistry. The programme will place a consider- its core knowledge applied to various areas of natural able emphasis on cultivating students’ laboratory skills and science, chemistry is the key to harnessing and the power of supplement compulsory chemistry courses with relevant nature. It integrates and interacts with other disciplines, laboratory courses. When the students successfully com- complementing one another. Numerous “boundary disci- plete the programme, they will have acquired a rigorous plines” are thus created, such as biochemistry, geochemis- foundation in the theory and application, a solid command try, cosmochemistry, marine chemistry and atmospheric of the practical experimental and the ability to tackle simple chemistry, accelerating technology development in biology, applications of theoretical analysis and practical experi- electronics, aerospace, lasers, geology and marine science. mental operation, to explain and understand, solve prob- lems.
CHM Programme provides two streams：
Chemistry Science Materials Science and Engineering
Undergraduate Programmes School Package
General Biology General Chemistry Introduction to Computer Science Programming Methodology Computational Laboratory Calculus I Calculus II Linear Algebra Mechanics Probability and Statistics I
Major Required courses
Physical Chemistry Analytical Chemistry Comprehensive Chemistry Laboratory （Inorganic, Analytic） Inorganic Chemistry Organic Chemistry I（equal to CHM2001） Organic Chemistry II Organic Chemistry Laboratory Physical Chemistry Laboratory Introduction to Materials Science and Engineering Principles of Chemical Engineering Biochemistry
Major Elective courses
Chemical Science • Advanced Analytic Chemistry and Experiments • Fundamentals of Spectroscopy,Microscopy and Chromatography • Advanced Inorganic Chemistry • Advanced Structure Elucidation in Organic Molecules • Advanced Organic Chemistry: Reactivity,Structures,Mechanisms and Experiments • Advanced Physical Chemistry （Quantum Chemistry） • Introduction to Functional Materials • Transition Metals and Coordination Chemistry • Organometallic Chemistry and Catalysis • Selectivity and E!ciency in Synthetic Chemistry • Solid State Chemistry • Chemical Kinetics and Catalysis • Undergraduate Special Project （alternative） • Undergraduate Thesis （alternative） • Medicinal Chemistry • Chemical Biology Materials Science and Engineering • Introduction to Functional Materials • Chemical Kinetics and Catalysis • Materials for Energy Application • Electrical,Optical, and Magnetic Properties of Materials • Introduction to Structural Materials • Materials Analysis and Experiments • Surface Science and Interfacial Engineering • Polymer Reaction Engineering and Processing • Introduction to Polymer Science and Materials • Product Engineering and Process Modelling • Separation Engineering and Unit Operations • Semi-conductors and Devices • Undergraduate Thesis • Industrial Capstone • Solid-State Physics • Quantum Mechanics Undergraduate Programmes Taught Master’s Programme
Master of Science in Communications Engineering Master of Science in Communications Engineering (MSc.CE) is a two-year full-time programme o!ered by CUHK-Shen- zhen revolving around the area of communications engi- neering. The Programme aims to equip students with essen- tial knowledge and skills that enable them to develop and implement solutions to harvesting, transmission, and processing of data and information, with a wide coverage of emerging technology such as 5G and beyond communica- tions and networks, wireless communications, machine learning, Internet of Things, cloud computing, edge com- puting, big data, and analytic processing.
The Programme aims to educate professionals with both theory and practice of communications engineering. Students who graduate from this two-year Master's Programme will learn the fundamental theory and cutting-edge methods of communications engineering over a wide range of emerging topics such as 5G and beyond communications and networks, Internet of Things (IoT), and machine learning. Students will also complete research projects demonstrating that they can use the fundamental concepts to solve problems in various communications applications.
Curriculum Required Course (17 units) Random Process
Information Theory and Channel Coding Convex Optimization for Communication Systems Wireless Communications
5G and Beyond Communications and Networks Research on the Theory and Practice of Socialism with Chinese Characteristics
Core Elective (21 units)
• Machine Learning and Intelligent Communications • Artificial Intelligence and Applications in Communications • Dynamic Programming and Applications in Communications • Image Processing and Computer Vision • Optical Communications and Networks • Network Protocols and Systems • Network Economics • Big Data Systems and Information Processing • Network Coding Theory • Internet of Things • Cloud Computing and Edge Computing • Distributed Systems and Parallel Computing • System-on-Chip (SOC) Design • Cryptography, Information Security and Privacy • Research Project I Taught Master's Programmes • Research Project II
Taught Master's Programmes MPhil/Ph.D. Programmes
MPhil-Ph.D. Programme in Mathematics
The MPhil-PhD programme in Mathematics aims to educate and cultivate research students with a broad foundation in mathematics and specialized knowledge in selected concentrations. The research focus in Partial Di!erential Equations, Computational Mathematics, Financial Mathe- matics, Algebra, Geometry, Topology and related interdisci- plinary fields. They are expected to become leading academics and researchers in universities, research insti- tutes, and industries, making an original and substantial contribution to selected fields. An applicant with a research Master's degree should apply for admission to the PhD Stream, while an applicant with a bachelor's degree can apply for admission to either MPhil or PhD Stream. Students who satisfy prescribed requirements will receive degree of CUHK.
Curriculum
Measure Theory and Integration Advanced Financial Models Functional Analysis Topics in Analysis
Complex Function Theory Topics in Partial Di!erential Equations Ordinary Di!erential Equations and Dynamical Systems Topics in Algebra
Advanced Abstract Algebra I Topics in Di!erential Geometry and Topology Riemannian Geometry Topics in Applied Mathematics Methods of Applied Mathematics Topics in Scientific Computing Partial Di!erential Equations I Topics in Financial Mathematics Partial Di!erential Equations II Financial Data Analysis Advanced Abstract Algebra II Computational Methods in Lie group and Lie algebra Financial Engineering Di!erential Topology Algebraic Topology Algebraic Geometry Advanced Numerical Methods
Advanced Probability Theory and Mathematical Statistics
MPhil/Ph.D. Programmes MPhil-Ph.D. Programme in Computer & Information Engineering
The School of Science and Engineering at CUHK(SZ) has designed the programme for students who wish to pursue a higher degree in the broad area of Computer and Informa- tion Engineering (CIE), with research focus in artificial intel- ligence, communications and networking, computer vision, control, data science, digital signal processing, intelligent systems and robotics, operations research, optimization, optoelectronics, photonics, physics on optics and related domains. An applicant with a research Master's degree should apply for admission to the PhD Stream, while an applicant with a bachelor degree can apply for admission to either MPhil or PhD Stream. Applicants should have educa- tion background in science and engineering. Students who satisfy prescribed requirements will receive degree of CUHK.
Curriculum Lecture Courses Group A Lecture Courses Group B
Matrix Analysis Advanced Convex Optimization
Stochastic Process Topics in Computer-Aided Geometric Design Optimization Theory and Algorithms Control Systems Advanced Computer Architecture Robotics and Intelligent Systems Image Processing and Computer Vision Advanced Topics in Energy Systems Social Computing Introduction to Detection Data Analytics & Estimation Theory & Application Machine Learning Nanoscience Selected Topics in Artificial Selected Topics in CIE II Intelligence Cloud Computing Optical Communication and Interconnects Selected Topics in Blockchain Systems Information Theory Performance Analysis of Computer and Communication Systems Computer and Network Security Telecommunication Switching and Mobile Networking Network Systems Advanced Wireless Communications Understanding Deep Learning from a Theoretical Perspective Advanced Topics in Signal Processing Mobile Computing with Internet Introduction of Reinforcement Learning of Things Selected Topics in CIE I Selected topics in Text Representation Learning Functions of Several Variables for Applied Mathematical Sciences CMOS Analog IC Design Deep Learning Foundations and Their Gaussian Process for Machine Applications Learning and Signal Processing Regularization/Kernel Methods: RF Circuits and Systems Theory for the Users Multi-Antenna Wireless Communications Network Economics The Bootstrap and Its Applications in Signal Processing
MPhil/Ph.D. Programmes MPhil-Ph.D. Programme in Materials Science and Engineering
MPhil-PhD Programme in Materials Science and Engineering is designed for students who wish to pursue a higher degree in the broad area of Materials Science and Engineering (MSE), with a research focus on advanced structure materials, func- tional materials, smart materials, polymer materials, magnetic materials, Optical and optoelectronic materials and devices, many body quantum-mechanic problem, non-equilibrium thermodynamics, biomaterials, nanomaterials, composites, surface chemistry and interfacial engineering, materials mod- elling and simulation, materials production and processing, energy materials, materials for environmental purification, aerosol and nanoparticle engineering, green chemistry and materials life cycle. An applicant with a research Master's degree should apply for admission to the PhD Stream, while an applicant with a bachelor degree can apply for admission to either MPhil or PhD Stream. Applicants should have education background in science and engineering. Students who satisfy prescribed requirements will receive degree of CUHK.
Curriculum Lecture Required Courses
Advanced Materials Science and Engineering Economics and Engineering Management
Lecture Elective Courses
Laboratory-General Modelling and Simulation in Engineering Lab Special in Materials Computational Materials Selected Topics in MSE Nanomaterials Composite Materials and Interfacial Engineering Energy Materials Structure Materials and Mechanical Properties Environmental Materials Polymeric Materials Materials and Devices Chemistry of Materials Functional Materials and Optical, Electrical and Magnetic Properties
MPhil/Ph.D. Programmes Academic Activities
Significant Forum
Academician Forum of Chinese Academy of 2019 Global AI and Robotics Engineering-Intelligence and Network Conference, CCF-GAIR
Academic Seminar
2017.12 2018.12 2018.12 International Workshop on Mathemati- Symposium on Innovations in Workshop on Statistics and Data cal Issues in Information Sciences Medical and Health Sciences Science
2019.07 2019.01 2018.12 Workshop on Optimization Theory Industrial Data Science Shenzhen Academician Forum on Frontier and Applications Seminar Chemistry and Materials
2019.07 2019.10 2020.01 Technological Forum on Air International Conference on Pollution and Health Engineering High End Forum of "Polymer New Intelligent Networks and materials and Polymer Products Communication System Engineering in Dawan District"
Pic 1. Fields Medal Laureate, Foreign academician of Chinese Academy of Sciences, Academician of the American Academy of Sciences YAU, Shing-Tung John E. Hopcroft Pic 2. Turing Award Laureate John E. Hopcroft Joseph Sifakis Pic 3. Turing Award Laureate Joseph Sifakis Pic 4. Academician of Chinese Academy of Sciences, Peking University Boya Chair Professor Zhenfeng XI SSE Faculty
Turing Award Laureate (2000), Academician of Chinese Fields Medal Laureate (1982), Foreign academician Academy of Sciences, Foreign academician of the American of Chinese Academy of Sciences, Academician of Academy of Sciences, AAAS Fellow, ACN Fellow the American Academy of Sciences, APS Fellow, Ph.D. (Harvard University, University of Illinois, USA) AAAS Fellow, SIAM Fellow Research field: Computational theory, Complexity of Ph.D. (University of California, Berkeley, USA) quantum communication Research field: Di!erential Equations, Mathematical Physics
Chinese Academy of Sciences, Asia Pacific Academy of Materials, and World Academy of Sciences for the Advancement of Science in Developing Countries, IUSBSE Fellow, RSC Fellow Ph.D. (Kyoto University, Japan) Research field: Materials science, macromolecular chemistry, and biomedical theranostics. His lab is spearheading the scientific research on aggregation-induced emission.
IEEE Fellow IEEE Fellow Ph.D. (Stanford University, USA) Ph.D. (Massachusetts Institute of Technology, USA) Research field: Communication Theory and Systems; Research field: Data Analytics and Information System Statistics and Applied Mathematics
Ph.D. (Royal Institute of Technology (KTH), Sweden) IEEE Fellow Research field: Spintronics; Microwave Communication; Ph.D. (Northwestern University, USA) Data Storage Research field: Crowd Intelligence, Network Optimization and Economics
SSE Faculty
Ph.D. (New York University, USA) Research field: Partial Di!erential Equations, Mathematical Biology
Fellow of Royal Society of Canada (FRSC), IEEE Fellow, Fellow of the Society for Industrial and Applied Mathematics (SIAM) Ph.D. (Massachusetts Institute of Technology, USA) Research field: Optimization Methods for Big Data Analytics; Complexity and Computational Issues Arising from Signal Processing; Digital Communication
Member of the National Academy of Engineering, USA Academician of the Chinese Academy of Engineering, Academician of the Ph.D. (University of Minnesota, USA) International Eurasian, Member of the International Academy of Astronautics, Research field: Aerosol and nanoparticle science and IEEE Fellow, Academician of Hong Kong Academy of Engineering Sciences, engineering, especially particle instrumentation Academician of The Hong Kong Institution of Engineers development and filtration solutions to air pollution control Ph.D. (University of Pennsylvania, USA) Research field: Robotics; Intelligent Systems and Control; Design and Manufacturing; Service and Space Robotics; Wearable Interface; Intelligent Electric Vehicles
Ph.D. (New York University, USA) Research field: Computational and applied mathematics, analysis and simulations of multiphase problems Fellow of Royal Society of Canada (FRSC), Fellow of Engineering Institute of Canada (FEIC) Ph.D. (McMaster University, Canada) Research field: polymer materials and reaction engineering; industrial big data and modelling; surface modification of biomaterials; interfacial engineering of microelectronics; stimuli-responsive polymers; polymers for environment and energy applications
Ph.D. (University of London, UK) Research field: Syntheses of natural and non-natural IEEE Fellow, HKIE Fellow molecules Ph.D. (New York University, USA) Research field: Networking Theory; Internet and Applications
Ph.D. (Tianjin University) Research field: Fiber optic sensors and nonlinear optics Fellow of the British Computer Society, Fellow of the Royal Society of Arts, Manufactures and Commerce Ph.D. (University College London, UK) Research field: Self-Learning Media Search Engines, Bandit Problems in Reinforcement Learning, Performance of Multiple Sequential Classifiers
SSE Faculty
Ph.D. (Shandong University) RSC Fellow Research field: Partial di!erential equations, calculus of Ph.D. (The University of Western Australia) variations, mathematical theory of superconductivity, liquid Research field: Synthetic, Structural and Mechanistic crystals and electromagnetism Studies of Organometallic Compounds; Reactivity Studies; Catalytic Studies
Ph.D. (University of Minnesota, USA) Academician of Chinese Academy of Sciences, APS Research field: Partial Di!erential Equations and Applications Fellow, Academician of TWAS Ph.D. (University of California, Irvine, USA) Research field: Surface Science and Technology
Ph.D. (University of Illinois, USA) Research field: Geometric topology, Geometric Group Ph.D. (Texas A&M University, USA) Theory Research field: Wireless communications and signal processing, including data/AI driven wireless networks and spectrum sensing/management
Ph.D. (Rutgers University, USA) Ph.D. (University of Southern California, USA) Research field: Computer Vision; Image Processing; Research field: AI Internet of Things; Machine Learning; Pattern Recognition; Machine Learning Satellite Remote Sensing
Ph.D. (University of Southern California, USA) Research field: Information and Coding Theory Ph.D. (The Chinese University of Hong Kong) Research field: Novel “bio-inspired” strategies and methodologies for the total synthesis of structurally complex and biologically significant natural products; Natural product enabled discovery and application
SSE Faculty
Ph.D. (Columbia University, USA) Ph.D. (University of Toronto, Canada) Research field: Theoretical Physics, High Energy Nuclear Research field: Polymer chemistry and materials, Physics Theory organic optoelectronics, nanomedicine, biomedical engineering
Ph.D. (University of Science and Technology of China) Ph.D. (Caltech, USA) Research field: Wireless Communications, wireless Research field: Semiconductor Lasers; power transfer, UAV communications, and mobile Nanophotonics; Organic Light Emitting Devices; edge computing and machine learning Perovskite Optoelectronics; Thin Film Solar Cells
Ph.D. (National Tsing Hua University) Ph.D. (The University of Queensland, Australia) Research field: Signal Processing; Wireless Research field: Power System Analysis and Communication; Optimization Methods; Smart Grid; Computation; Smart Grid; Data Mining; Artificial Data Analysis Intelligence; Electricity Market
Ph.D. (University of Alberta, Canada) Ph.D. (The University of British Columbia, Canada) Research field: Intelligent soft robots, Bioinspired Research field: Cloud Systems, Human-Computer robots, Smart materials and structures Interaction, Blockchain, Edge Systems, Crowd Intelligence, Game Systems
Ph.D. (The University of Hong Kong) Ph.D. (Hong Kong University of Science and Research field: Computer Vision, Computer Graphics, Technology) Human-Computer Interaction, Medical image analysis, Research field: Signal processing, optimization and Machine Learning game theory, communication theory, information theory, control, and machine learning
SSE Faculty
Ph.D. (Cornell University, USA) Ph.D. (York University, Canada) Research field: Representation Theory of Lie Groups Research field: Numerical Methods for Partial Di!erential Equations, Mathematical Modelling and Scientific Computing, Computational Fluid Dynamics, Applied Asymptotic Analysis
Ph.D. (The Chinese University of Hong Kong) Ph.D. (The Chinese University of Hong Kong) Research field: field robotics, human-machine interaction, Research field: Synthetic Organic Chemistry; intelligent control Methodologies; Organocatalysis; Green Chemistry
Ph.D. (University of Hong Kong) Ph.D. (City University of Hong Kong) Research field: Deep Learning, Computational Research field: Analysis and application, partial Biological and Computer Vision di!erential equations, scientific calculations and numerical analysis, mathematical finance
Ph.D. (Hong Kong University of Science and Ph.D. (Hong Kong University of Science and Technology) Technology) Research field:Integrated analog circuits design & Research field:Intelligent Multi-Agent Systems, power management IC design Network Optimization and Economics
Ph.D. (The Chinese University of Hong Kong) Research field: Robotics, Intelligent Systems Ph.D. (University of Toronto, Canada) Research field: Optimization, multi-user information theory, wireless communications, data science, machine learning
SSE Faculty
Ph.D. (The Chinese University of Hong Kong) Ph.D. (Nanyang Technological University, Singapore) Research field: Online scheduling and distributed Research field: Medical Devices Development; algorithm design and optimizations for smart grid, System Modelling; Force Sensing and Control; edge computing and other cyber-physical systems; Human-machine Interaction Fundamental research in machine learning algorithm and artificial intelligence
PhD (Hong Kong University of Science and Ph.D. (Simon Fraser University, Canada) Technology) Research field: Computer Networking, Multimedia Research field: Computational fluid dynamics, Systems and Applications, Cloud and Edge computational material science, image processing, Computing, Machine Learning, and optimization, machine learning Internet-of-Things
Ph.D. (Nanyang Technological University, Singapore) Research field: Photothermal catalysis and Ph.D. (The Chinese University of Hong Kong) electrocatalysis Research field: Theoretical condensed matter physics and statistical mechanics, Many-body physics in and out of equilibrium, Thermodynamics of small-scale system
Ph.D. (Tsinghua University) Ph.D. (Hong Kong University of Science and Technology) Research field: Smart Energy Systems Research field: Radio-frequency, millimeter-wave and terahertz integrated circuits and systems
Ph.D. (The Chinese University of Hong Kong) Research field: Information Theory; Coding Theory; Network Coding; Network Computation Ph.D. (Technical University of Darmstadt, Germany) Research field: Statistical Signal Processing with Emphasis on Estimation Theory; Machine Learning with Emphasis on Gaussian Processes; Sensory Data Fusion; Applications to Cooperative and/or Distributed Target Localization and Tracking in Wireless Networks
SSE Faculty
Ph.D. (The Chinese University of Hong Kong) Research field: Micro/nanorobotics, medical robotics, Ph.D. (The Chinese University of Hong Kong) biomedicine Research field: Financial Engineering, Monte Carlo Simulation, Applied Probability, Credit Risk, Machine Learning
Ph.D. (Zhejiang University) Ph.D. Shanghai Institute of Organic Chemistry, Research field: Smart polymers, polymerization Chinese Academy of Sciences reaction engineering, colloid and interfaces Research field: Aggregation-induced emission, Stimuli-responsive materials, Biomedical imaging
Ph.D. (Hong Kong University of Science and Ph.D. (Nanyang Technological University, Singapore) Technology) Research field: The AI and Robotics endorsed Research field: Nanocarbon materials, Transparent materials science research, including pharmacy, conductors, Multifunctional sensors, Surfaces and battery materials and optics chip interfaces of materials, Nanocomposites reinforced with nanofillers, Molecular simulations
Ph.D. (McMaster University, Canada) Ph.D. (The Chinese University of Hong Kong) Research field: metal-organic frameworks, polymers, Research field: Wireless Communications; Resource porous materials Allocation and Optimization; Big Data Systems
Research field: Software Development Ph.D. (University of Cambridge, UK) Research field: Biofuel Production
ABEYNAIKE, Arjan
SSE Faculty
Ph.D. (University of Waterloo, Canada ) Research field: Algebraic Combinatorics; Graph Ph.D. (Nanyang Technological University, Singapore) Theory Research field: new energy science and engineering, energy management, energy economics, thermal analysis and design, machine learning and thermoelectric generator
Ph.D. (The University of Western Australia) Ph.D. (Nanyang Technological University, Singapore ) Research field: Algebraic Graph Theory, Permutation Research field: electrochromic materials and devices Groups for thermal management of buildings
SSE Faculty Scientific Research 1
Research Institute
Shenzhen Institute of Artificial Intelligence and Robotics for Society (Prof. Yangsheng XU) Shenzhen Research Institute of Big Data (Prof. Zhi-Quan LUO) Future Network of Intelligence Institute (Prof. Shuguang CUI) Institute of Robotics and Intelligent Manufacturing, the Chinese University of Hong Kong, Shenzhen (Prof. Yangsheng XU)
Key Laboratory National-local joint Engineering Laboratory of Robot and Intelligent Manufacturing (Prof. Yangsheng XU) National-local joint Engineering Laboratory of Robot and Intelligent Manufacturing (Prof. Yangsheng XU) Shenzhen Key Laboratory of Advanced Materials Product Engineering (Prof. Shiping ZHU) Shenzhen Key Lab of IoT Intelligent System and Wireless Network Technology (Prof. Xiaoqiang CAI) Shenzhen Key Laboratory of Big Data and Artificial Intelligence (Prof. Shuguang CUI) Shenzhen Key Laboratory of Semiconductor Laser (Prof. Zhaoyu ZHANG)
Scientific Honors(selected)
Prof. Shuk Yin TONG and his research team won the Second Prize of the Natural Science Award, the Ministry of Education for “Research on the Growth and Optical Properties of Wide Band-Gap Semiconductors".
Prof. Shuguang CUI won ICT China (2020) Technological Innovation & Application Award, First Prize of Natural Science in Science and Technology Award of Chinese Institute of Electronics and the First Prize of Technology Invention of Science and Technology Award of China Institute of Communications.
Prof. Jianwei HUANG has been appointed as the editor-in-chief of IEEE Transactions on Network Science and Engineering, one of the highest-quality and most selective journals in the field of network science.
Prof. Xiaoguang HAN won 2020 Chinagraph Award for Graphical Open Source Datasets for “Deep Fashion3D”.
Paper by Prof. Tin Lun LAM's team won IROS Best Paper Award on Robot Mechanisms and Design; three papers by his team were also accepted by the conference.
Prof. Junhua ZHAO won the Second Prize in the key Projects of The Financial Society of Shenzhen Special Economic Zone for “Research on the Synergetic Development of the energy spot market, energy futures and cross-border RMB transactions”. Scientific Research 2
Key Research Program/Team Pearl River Plan Team Advanced Materials Product Engineering Team (Prof. Shiping ZHU) Data Driven Future Intelligent Network Evolution Team (Prof. Shuguang CUI) Foundational Research on Hydrogen Energy Application Based on High-E!ciency Photocatalysis Team (Prof. Zhigang ZOU) Peacock Plan Team Big Data Information Processing and Application Innovation Team (Prof. Zhi-Quan LUO) Development and Application of Advanced Materials for Environmental Purification (Prof. Shiping ZHU) Magnetoresistance Random Access Memory and Application (Prof. Yan ZHOU) National Key Research Project Data Driven and AI Enpowered Future Network Evolution (Prof. Shuguang CUI) Guangdong Key Research Project Brain-Like Device and System (Prof. Shuguang CUI)
Industrial Joint Labs • CUHK(SZ)-Tencent AI Lab Joint Laboratory on Machine Intelligence • CUHK(SZ)-JD Joint AI Lab • CUHK(SZ)-State Radio Monitoring Center Testing Center (SRTC) Spectrum Big Data Joint Laboratory • CUHK(SZ)-CAS-NOVA Joint Laboratory of Satellite Communication and Remote Sensing Technology • CUHK(SZ)-LUOHU Joint Lab of Medical Big Data • CUHK(SZ)-Jincheng Advanced Synthetic Materials Joint Laboratory SSE Career
Founded in 2018, SSE Career is committed to provide well-rounded career guidance for all SSE undergraduates. Through integrating the resources of university, school and companies, SSE Career conducts various professional further study/ employ- ment activities, aiming to raise student's awareness of career planning, to enhance their competitiveness and to enable them to realize their career path.
Vision Put student's passion into purpose, champion every step of student's career development.
Empowerment Activities for Further Study/ Employment: • One-on-One Counselling • One-on-One Counselling (with external consultancy) • One-on-One Counselling (with senior schoolmates) • Career Mentor • Alumni Sharing • Online/Onsite Serial Seminars for Graduate School Application • Online/Onsite Serial Seminars for Job Searching • Curriculum Vitae Review/ Mock Interview for Job Searching • Industrial Talks • Full-time/Internship Post Sharing
Graduate Placement In May of 2020, the second batch of SSE graduates completed study, for a total of 320 students. Under the pandemic outbreak and complex international situation, the overall employment rate is 95%.
95%
73.44% students 20.94% students 0.63% students pursue postgraduate enter the job market choose to start studies their own business
73.44% 20.94% 0.63% SSE Career The overall employment rate of SSE is 95% or above, which demonstrates that our graduates are competitive.
Employment
15.77% students entered the job market. The average annual salary is 134,400 RMB. 20.94% students joined in the job market, with a year-on-year growth of 5.17%. The average annual salary is 151,300 RMB, with a growth of 12.57% over last year.
15.77% 134,400 RMB 20.94% 151,300 RMB Graduate Graduate
Partial Notable Companies and Organizations (Class of 2019, 2020 are both included)
Microsoft Huawei Tencent Baidu Deloitte
ByteDance Ping An Technology CCB Fintech Alibaba BGI Group
SenseTime China Resources Sanjiu Bilibili PwC Ernst & Young
Procter & Gamble DJI Shenzhen Public Schools
Notable Companies that SSE Graduates Working (Class of 2019, 2020 are both included)
• CHEN Sibo and YE Xiaoxing work for Microsoft. • SHA Yuancai works for Huawei. • DU Jingxin works for Baidu. • LI Zhijie works for Deloitte. • LI Xing works for Procter & Gamble. • XIE Yewang works for SenseTime. • HUANG Zhiwei works for Alibaba. • LAN Yifan works for ByteDance. • SHI Tianyu works for PwC.
SSE Career Further Study
Among the first graduate cohort, 82.69% students decided to pursue postgraduate studies in the well-known universities around the world, and they received more than 440 o!ers from top univer- sities including Massachusetts Institute of Technology, Columbia University, Cornell University, Yale University, University of Chicago, Carnegie Mellon University, University of California, Berkeley, Imperial College London, The University of Sydney, The University of Hong Kong, National University of Singapore, etc. 13.02% of them have received Ph.D. o!ers. This is to say, one student, out of eight who pursued postgraduate studies, has successfully enrolled in Ph.D. Programme. Among the second batch of graduates, 73.44% students chose to pursue further studies, and they received more than 605 university o!ers. 11.06% of them have received Ph.D. o!ers from top universi- ties, including Stanford University, Columbia University, University of California, Berkeley, Cornell University, Carnegie Mellon Univer- sity, Georgia Institute of Technology, The Chinese University of Hong Kong. According to rough statistics, 13.19% students pursuing postgraduate studies have received more than 5 university o!ers.
Partial Notable Universities -Master Programme (Class of 2019, 2020 are both included)
Number of SSE Graduates Attending Columbia University 22 University of Illinois at Urbana-Champaign 6 University of Michigan-Ann Arbor 16 Nanyang Technological University 6 Carnegie Mellon University 15 Georgia Institute of Technology 5 University of Minnesota, Twin Cities 15 University of New South Wales 5 University of Southern California 14 Boston University 5 National University of Singapore 13 Catholic University of Leuven 5 The Chinese University of Hong Kong 13 The London School ofEconomics and Political Science 4 The University of Hong Kong 11 The University of Melbourne 4 Cornell University 10 The Hong Kong University of Science and Technology 4 New York University 9 Swiss Federal Institute of Technology in Zurich 4 The Johns Hopkins University 8 University of Pennsylvania 3 University of California, San Diego 7 University of Chicago 3 The University of Sydney 7 University of Oxford 2 Partial Notable Universities -Ph.D. Programme (Class of 2019, 2020 are both included)
Number of SSE Graduates Attending The Chinese University of Hong Kong, Shenzhen 24 Georgia Institute of Technology 1 The Chinese University of Hong Kong 5 University of California, Berkeley 1 Carnegie Mellon University 3 University of California, Los Angeles 1 University of Wisconsin-Madison 2 Columbia University 1 University of Minnesota, Twin Cities 2 University of Michigan-Ann Arbor 1 Stanford University 1 The Johns Hopkins University 1 Massachusetts Institute of Technology 1 Queen Mary University of London 1
Notable Programmes that SSE Graduates Attending (Class of 2019, 2020 are both included)
• LIN Zhen enrolled in the Ph.D. programme of Operations Research in Massachusetts Institute of Technology with full scholarship. • LIU Zhuoyang enrolled in the Ph.D. programme of Operational Research in Stanford University with full scholarship. • LYU Yiwei, YU Shuhua enrolled in the Ph.D. programme of Electronic Computer Engineering in Carnegie Mellon University with full scholarship. • JIANG Shunan enrolled in the Ph.D. programme of Industrial Engineering & Operations Research in University of California, Berkeley with full scholarship. • WANG Jie enrolled in the Ph.D. programme of Industrial Engineering in Georgia Institute of Technology with full scholarship. • XU Linning enrolled in the Ph.D. programme of Information Engineering in The Chinese University of Hong Kong with full scholarship. • LI Mincheng enrolled in the Master's programme of Financial Economics in Oxford University. • LI Jie enrolled in the Master's programme of Statistics in The University of Hong Kong. • TU Yilei received an o!er from Master in Data Science in Swiss Federal Institute of Technology in Zurich (ETH Zurich).
SSE Career Students’ Achievement
Competition and Honor CUHK-Shenzhen Hult Prize Campus Final Competition 2018
Three SSE teams won the Champion, Second Prize and Third Prize respectively in the competition, among which the third prize team were international students.
SSE undergraduate team won the champion in Tianchi IEEE ICDM 2018 Global AI Challenge on Meteorology. Smart City Datatho: Champion Hackathon#Smart City: Third Prize Two student teams from SSE were bestowed the Best Non-Machine Learning Award and the Best Demonstration Award respectively in the final of the Global AI Transmission Competition (AI-Trans). SSE postgraduate team won the champion in AIM 2019 Yi SONG won the third prize in The Sixth China National College Students Competition on Energy Economics, CNCEE Both of student teams of SSE won the third prize in RISC-V
National Scholarship National Endeavor Scholarship Guangdong Government Outstanding The Stars of Self-Improvement of International Student Scholarship Chinese College Students
Yiyan MU Agnes Valencia Yinbin HAN Binghui WU Richelle Felicia Yokohadinata Wenjing CAI Junyi ZHAI Sadip Tamang Yi LIU Clarissa Audrey Chinara Wangshu LI Veryansen Lienuadry Yue TANG Jiangjiang DING Xiao SHI En LI
Schòlarshìp
In 2020 American College Students Mathematical Modeling Competition, 74 SSE students won Meritorious Winner (6), Honorable Mention (18), and Successful Participant (50). SSE has always encouraged undergraduates In 2020 Contemporary Undergraduate Mathematical Contest in to participate in domestic and international Modelling, 3 students won the first prize, 27 second and 21 third competition by organizing them to sign up, respectively in Guangdong Division. including ACM/MCM and etc. In 2020 National College Students Mathematical Competition. A total of 5 students from SSE have won awards, including 1 first prize, 3 Students’ Achievement second prizes, and 1 third prize. Publication
SSE undergraduates have opportunities to conduct scientific research.
Until March 2021
SSE undergraduates has published more SSE Ph.D. has published 75 than 50 papers on various international 50+ papers on academic journals. 75 conferences and journals.
15Cohort Zizheng YAN’s paper, as first author, was accepted by IEEE INFOCOM 2019-IECCO
Jinjin GU’s several papers were accepted by CVPR 2020& 2019. Linning XU’s paper was accepted by CVPR 2020. 16Cohort Siliang ZENG’s paper was accepted by IEEE 2020 ICC. Siliang ZENG’s paper was accepted by IEEE 2020 ICC. Tian MIN’s two paper, as first author, were accepted by IEEE CoG 2019 and IEEE GEM 2019 respectively. Jiechun LIANG’s paper, as first author, was published on international journal JPCL and he was invited to conduct online speech.
Botao ZHANG’s paper was accepted by IEEE SPAWC 2020. 17Cohort Xuechun LI’s paper was accepted by ICNS 2020 Shaoyu WANG’s paper was accepted by ICNS 2020. Yifan WANG’s paper was published on Nanophotonics. Bowen XIAO’s paper was accepted by IEEE INFOCOM 2019. Tengfei WANG’s paper was accepted by FDG 2019. Weidong GAO’s paper, SSE as publishing unite, was accepted by ICCSIP 2020.
18Cohort Wenjun ZHENG’s paper was accepted by IINTEC 2020.
Yiwei LU and Ziran ZHANG acquired a patent supervised by Prof. Huihuan QIAN and Prof. Yangsheng XU. Patent Gained Xiang ZHANG and Haoze HE acquired a patent supervised by Prof. Rui HUANG. (selected) Siliang ZENG and Xingfei XU acquired a patent supervised by Prof. Yi CHEN. Students’ Achievement International Programmes
School of Science and Engineering has established partnerships with more than 70 universities around the world (among all international programmes that SSE students could attend). The programmes include combined Bachelor-Master degree programmes, exchange programmes, visiting programmes, international summer programmes, etc.
SSE Joint BS-MS Degree Programme
3+1+1
3.5+1.5 3+0.5+0.5+X 4+1
Programme Types Host Institutions Programme Agreed
University of Minnesota Electrical Engineering Mechanical Engineering
University of California, Berkeley Nuclear Engineering 3+1+1 Materials science and engineering
University of California, Irvine EECS Electrical Engineering Stream
National University of Singapore Faculty of Engineering
3.5+1.5 University of Michigan Bioinformatics
3+0.5+0.5+X University of Toronto Department of Electrical and Computer Engineering
4+1 Columbia University Master of Public Administration in Environmental Science and Policy School of Professional Studies
International Programmes School Activities There are in total three partnership Students from SSE and programs between Stanford working Tsinghua University together to complete Yao Class and project together. CUHK-Shenzhen SSE.
Maker Lab， Maker Lab of SSE is aimed to The third partnership build a “zero threshold” innova- tive platform for the students program between and to integrate their wisdoms, CUHK-Shenzhen SSE skills and craftsmanship. Based and Tsinghua Yao on Maker Lab, SSE has organized Class , also as the a series of workshops, and held 2019 social practice the very first “3D Printing Competition” themed on “My in Yangtze River Life in CUHK-Shenzhen”. Delta.
Academic Orientation 2020 Graduation Ceremony of the first batch of SSE graduates.
2020 Welcome Season
SSE Winter Cheer
Graduation Ceremony of the first doctoral batch of SSE graduates.
School Activities
0755 8427 3833 [email protected] [email protected] [email protected] http://sse.cuhk.edu.cn 2001 TD-C 603/TD-C 501 518172
Hotline: 0755 8427 3833 Email: [email protected] [email protected]（Education） [email protected]（Career Development） Website: http://sse.cuhk.edu.cn Address: TD-C 603/TD-C 501（Education, Career Development） The Chinese University of Hong Kong, Shenzhen 2001 Longxiang Blvd.,Longgang District, Shenzhen, China Postal Code: 518172