Harbin Institute of Technology, Shenzhen

School of Computer Science and Technology

Zenglin Xu zenglin@gmail.com

Statistical Machine Intelligence and LEaring (SMILE ) Lab was founded by Professor Zenglin Xu. The lab focuses on machine learning and its applications in computer vision, health informatics, and natural language processing. Professor Zenglin received the Ph.D. degree in computer science and engineering from the Chinese University of Hong Kong. He is currently a full professor at Harbin Institute of Technology, Shenzhen. He has been working at Michigan State University, Cluster of Excellence at Saarland University and Max Planck Institute for Informatics, Purdue University, and University of Electronic Science and Technology of China. He currently serves as an associate editor of Neural Networks and Neurocomputing. He is the recipient of the outstanding student paper honourable mention of AAAI 2015, the best student paper runner up of ACML 2016, and the 2016 young researcher award from APNNS.
Openings: our group has several openings in Phd students working in the area of artificial intelligence, especially in federated learning, few-shot learning, causual learning, graph neural networks, etc. Candidates should have good communication skills in English, and solid background in machine learning and programming skills. Those who have publications in top journals and conferences are especially welcome.

Wenjian Luo luowenjian@hit.edu.cn

Wenjian Luo received the BS and PhD degrees from Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China, in 1998 and 2003. He is presently a professor of School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China. His current research interests include computational intelligence and applications, network security and data privacy, machine learning and data mining. His research interest is artificial intelligence and applications. He mainly focuses on the secure intelligent systems, especially the fundamental algorithms and techniques of machine learning, immune computing, swarm intelligence, and the applications of artificial intelligence in security and privacy, data mining, dynamic and multi-objective optimization. He has published more than 100 international journal and conference papers. He is a distinguished member of CCF and a senior member of IEEE, ACM and CAAI. He currently serves as an associate editor or editorial board member for several journals including Information Sciences Journal, Swarm and Evolutionary Computation Journal, Journal of Information Security and Applications, Applied Soft Computing Journal and Complex & Intelligent Systems Journal. Currently he also serves as the chair of the IEEE CIS ECTC Task Force on Artificial Immune Systems. He has been a member of the organizational team of more than ten academic conferences, in various functions, such as program chair, symposium chair and publicity chair.

Weizhe Zhang wzzhang@hit.edu.cn

Dr. Weizhe Zhang is currently a Professor and Ph.D. Supervisor in School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China. He received his B.Eng, M.Eng and Ph.D. degree of Engineering in computer science and technology in 1999, 2001 and 2006 respectively from Harbin Institute of Technology. He has been a visiting professor at the Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), USA, from Aug. 2013 to Aug 2014. He has been a visiting scholar at the Department of Computer Science, University of Houston (UH), USA, from Aug. 2005 to Feb 2006.
He conducts research in cloud computing, high performance computing, parallel and distributed system, real-time computing and computer security. Due to his academic leadership and research excellence, he was promoted to Associate Professor in 2007.
He has completes 10 national research grants, showing my research competitiveness. e.g., NSFC, National Key R&D Program of China, National Basic Research Program of China, National High Technology Research and Development Program of China. Due to his academic leadership and research excellence, he was promoted to Full Professor in 2012. Currently, He has been able to conduct a series of theoretical and experimental studies with different universities and also sponsor overseas researchers every year to undertake visiting research in my group. Now he has three Ph.D. Candidate from Indian, Egypt and Algeria. He is a senior member of the IEEE,Lifetime member of ACM, and distinguished member of CCF (China Computer Federation).
He has published more than 240 scientific papers in the well-established journals including IEEE Transactions on Cloud Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, and in the reputable conferences such as IEEE ICDM, IEEE ICPP, IEEE GLOBECOM, IEEE MSST, IEEE ICC, IEEE CLUSTER, IEEE IPDPS, IEEE ICPADS, ACM CIKM, IFIP NPC etc.
In addition to the above accomplishments, he is the Associate Editor of IEEE Transactions on Cloud Computing. He serves as the Associate Editor or Editorial Board of Human-centric Computing and Information Sciences(HCIS), Heliyon, International Journal of Grid and Distributed Computing(IJGDC), International Journal of Future Generation Communication and Networking(IJFGCN), International Journal of Hybrid Information Technology(IJHIT), International Journal of Security and Its Applications(IJSIA), International Journal of Grid and High Performance Computing(IJGHPC).
He serves as the Managing Guest Editor of Sensors (2017), Microprocessors and Microsystems (Micro 2015); the Guest Editor of Wireless Communications and Mobile Computing (WCMC 2020), Future Generation Computer Systems (FGCS 2015), International Journal of Distributed Sensor Networks (IJDSN 2016), International Journal of Grid and Distributed Computing (IJGDC).
He has served as the General Chair of International Conference on Dependable Systems and Their Applications (DSA 2020), Workshop on Networking and Communication 2014 Fourth. He has served as the PC Chair of International Conference on Big Data Intelligence and Computing (DataCom 2015). He has served as the Session Chair of the 2013 International Conference on Computer and Applications (CCA 2013), the 2012 IEEE International Conference on Cluster Computing (Cluster 2012), and the 7th IFIP International Conference on Network and Parallel Computing (NPC 2010). He has served as the Workshop Chair of International Workshop on Energy-aware Security-aware Cloud and Fog Computing (ESCloud 2018).
He has served as PC member for a number of conferences, e.g., IEEE International Conference on Data Science in Cyberspace (DSC 2020, 2019, 2018, 2017, 2016), IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017), IEEE International Conference on Big Data Intelligence and Computing (Datacom 2017), IEEE International Conference on Pervasive Intelligence and Computing (PICom 2016, 2015), the 11th IEEE International Conference on Embedded Software and Systems(ICESS 2014), the Second International Workshop on Real Time and Embedded Systems, the IFIP International Conference on Network and Parallel Computing (NPC 2011 and NPC 2012).
He also serves as a peer reviewer for 19 journals e.g., IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Emerging Topics in Computing, IEEE Access, Journal of Parallel and Distributed Systems, Future Generation Computer Systems, Concurrency and Computation: Practice and Experience, The Journal of Supercomputing.

School of Mechanical Engineering and Automation

Alam Md. Mahbub alamm28@yahoo.com

Alam Md. Mahbub is a professor at Harbin Institute of Technology (China) since 2012. He worked as a senior lecturer at the University of Pretoria (South Africa), research and postdoctoral fellows at the Hong Kong Polytechnic University, and lecturer at the Rajshahi University of Engineering and Technology (Bangladesh). More than 325 technical articles are authored and co-authored, including 155 SCI journal papers. Most of the papers have been published in the top-notched journals, including Journal of Fluid Mechanics, Journal of Fluids & Structures, Ocean Engineering, Physics of Fluids, and Journal of Sustainable and Energy Reviews. His papers are well cited, 3835 (h-index 35) in WoS database and 5895 (h-index 41) in google database. He has been listed as highly cited researcher for 2018 - 2021 (single year) by Web of Science, ranked top 2%. He has edited four special issues in ‘Wind and Structures, an International Journal’. He has delivered 24 Keynote speeches at international conferences. His research has mostly involved flow-induced vibrations, flow-induced noise, turbulent wake behind bluff bodies, wind load on structures, fluid-structure interactions, hydrodynamics of swimming animals, flow control, and energy harvesting from wind and ocean current. Prof Alam has received a number of awards: Japan Government Scholarship (monbusho) for Masters and PhD studies; JSPS
Postdoctoral fellowship; South Africa National Research Foundation (NRF) rating ‘Promising Young Researcher, Y1’; China 1000-young-talent scholar; Shenzhen High-Level Overseas Talent; and 2015 Shenzhen Outstanding Teacher. He is an editorial board member of ‘Wind and Structures, an International Journal’.
Admission Requirements
1. Candidates are expected to have a Bachelor’s degree with good CGPA (3.0/4.0 orabove).
2. Candidates are expected to have degree in mechanical/civil engineering or closelyrelated areas, e.g., aerospace, measurement & control, and energy & power.
3. Candidates are expected to have good English reading and writing abilities.
4. Candidates with published papers or innovation competition awards are prioritized.

Bernd Noack bernd.noack@hit.edu.cn

Bernd R. Noack is full professor at Harbin Institute of Technology, Shenzhen, China since 2020. He is also honorary professor and Chair of “Turbulence Control” at the Technical University of Berlin. Before entering HIT, he was Director of Research at the French National Research Center (CNRS), LIMSI (Paris-Saclay), Professor and Chair of “Flow Modeling and Control” at the Technical University of Braunschweig and Professor and Chair of “Reduced-Order Modeling for Flow Control” at the Technical University of Berlin. Earlier affiliations include the United Technologies Research Center (USA), the Max-Planck Society (Germany), the German Aerospace Center and the University of Goettingen (Germany).
He develops closed-loop turbulence control solutions for greener transport and energy in an interdisciplinary effort with leading groups in China, Europe, and USA/Canada. His team is advancing the frontiers of nonlinear control-oriented reduced-order models and artificial intelligence / machine learning control, an automated learning of control laws in the experiment. He has co-authored over 200 refereed publications, including 2 patents, 2 textbooks and over 100 journal articles. His work has been honored by numerous awards, e.g., a Fellowship of the American Physical Society for “pioneering contributions to turbulence control”, a CNRS Scientific Excellence award, a Senior ANR Chair of Excellence in France, and an annual von Mises Award of International Association of Applied Mathematics and Mechanics. His publications are highly cited: 17 have become citation classics and 2 articles received the ISI Thomson highly cited distinction.

School of Civil and Environmental Engineering

Zhongdong Duan duanzd@hit.edu.cn

Dr. Zhongdong Duan is a professor at the Civil and Environmental Engineering Department of Harbin Institute of Technology (HIT) located in Shenzhen, China. He graduated from HIT in Harbin in 1996 with a PhD degree in Engineering Mechanics. His research interest lies in natural hazard modeling and risk assessment, stochastic dynamics and structural reliability, structural health monitoring. He won numerous research awards and honor in the national and provincial level. He co-authorized more than 160 peer reviewed papers and advised more than 120 graduate students, including 30 PhD students.

Ying Wang yingwang@hit.edu.cn

Dr Ying WANG is a Professor at Harbin Institute of Technology Shenzhen since September 2019. He is a council member of Shenzhen Association for Artificial Intelligence, and Chair of Smart Space professional committee. His research focuses on Structural Health Monitoring, using both physics-based and data-driven approaches to the monitoring data interpretation. He is an expert to interpret/simulate different types of sensor data, including vibration, guided wave, ultrasonics, and so on. He aims to develop machine learning algorithms for structural condition identification and to construct advanced simulation tools towards digital twin models for civil infrastructure systems.
Prof Wang welcomes students from civil engineering or other disciplinary areas, with high motivation to conduct world-class research. The students should be able to perform multi-disciplinary research works; he/she should be a fast learner; he/she is expected to grasp either finite element modelling or artificial intelligence algorithms.

Baiyang Chen poplar_chen@hotmail.com

Prof. Baiyang Chen graduated with a PhD degree from Arizona State University, USA in 2007. He has published over 60 articles in Journal of Hazardous Materials, Water Research, Chemical Engineering Journal, Environmental Science & Technology, etc. He serves as an editor in the Journal of Hazardous Materials now. His recent research interests focus on control and analysis of micropollutants (particularly disinfection byproducts) in drinking water via handy treatment/analytical processes.
Requirements
Applicant must have a can-do attitude to get hands dirty, a spirit of innovation and sense of adventure, demonstrated resourcefulness, and willingness to pursue high risk/high reward research that is unconventional with elements of uncertainty. The successful candidate must be willing to work as a leader and team player in a complex project with tight deadlines. Must be able to communicate fluently with English or Chinese, preferably have publication experience in high-profile journal.

Gang Hu hugang@hit.edu.cn

Gang HU, Professor
School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, China

Education
09/2012-08/2015 (3 years), PhD in Wind Engineering, The Hong Kong University of Science and Technology.
09/2009-07/2011 (2 years), MPhil in Wind Engineering, Harbin Institute of Technology, China.
09/2005-07/2009 (4 years), Bachelor in Civil Engineering, Central South University, Hunan, China.

Research Experiences
01/2021 to present, Professor: Harbin Institute of Technology, Shenzhen, China
12/2019 to 12/2020, Associate Professor: Harbin Institute of Technology, Shenzhen, China
12/2017- 12/2019, Post-doctoral Research Associate: The University of Sydney, Sydney, New South Wales 2006, Australia.
10/2016-11/2017, Post-doctoral Fellow: Hong Kong University of Science and Technology
09/2015-09/2016, Research Associate: Hong Kong University of Science and Technology
03/2015-08/2015, Visiting Researcher: Western Sydney University, Australia. Research Interests Wind Engineering; Wind Energy; Machine Learning; Computational Fluid Dynamics Funded Research Projects
2022-2025, Wind-induced damage and associated mechanisms of a type of structures, PI, Granted by National Key R&D project, China, RMB3,800,000.
2022-2024, Artificial intelligence in wind engineering, PI, Granted by National Overseas High-Level Young Talent Program, China, RMB2,000,000.
2022-2024, Preliminary study of wind effects evaluation of rectangular cylinders based on machine learning, PI, Granted by National Natural Science Foundation of China, RMB300,000.
2021-2023, Deep reinforcement learning in wind engineering, PI, Granted by Natural Science Foundation of Shenzhen, China, RMB5,000,000.
2021-2023, Machine learning based evaluation of crosswind effects of rectangular cylinders, PI, Granted by Natural Science Foundation of Shenzhen, China, RMB400,000.
2021-2023, Phenomenological study and deep-learning-based predictions of instantaneous dynamic modal wind flow field around rectangular prisms, CO-I, Granted by Hong Kong GRF, China, HKD910,000.
2021-2023, Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, CO-I, Granted by Natural Science Foundation of Guangdong, China, RMB500,000.

Professional Services
04/2020-present, secretary, Hong Kong Wind Engineering Society.
03/2019-01/2020, secretary, The 4th Hong Kong Wind Engineering Workshop.
04/2018-present, member, Australia Wind Engineering Society.
12/2016-present, committee member, Hong Kong Wind Engineering Society.

Five Representative Publications
(1) Lin, P., Ding, F., Hu, G.*, Li, C., Xiao, Y., Tse, K.T., Kwok, K.C.S., Kareem, A., 2022. Machine learning-enabled estimation of crosswind load effect on tall buildings. J. Wind Eng. Ind. Aerodyn. 220, 104860.
(2) Lin, P., Hu, G.*, Li, C., Li, L., Xiao, Y., Tse, K.T., Kwok, K.C.S., 2021. Machine learning-based prediction of crosswind vibrations of rectangular cylinders. J. Wind Eng. Ind. Aerodyn. 211, 104549.
(3) Hu, G.*, Liu, L., Tao, D., Song, J., Tse, K.T., Kwok, K.C.S.*, 2020. Deep learning-based investigation of wind pressures on tall building under interference effects. J. Wind Eng. Ind. Aerodyn., 201, 104138.
(4) Hu, G.*, Kwok, K. C. S. (2020). Predicting wind pressures around circular cylinders using machine learning techniques. J. Wind Eng. Ind. Aerodyn., 198, 104099. (The most cited articles published in the past 3 years, source: Scopus)
(5) Hu, G., Junlei Wang*, Zhen Su, Guoping Li, Huayi Peng and K.C.S. Kwok, 2019, Performance evaluation of twin piezoelectric wind energy harvesters under mutual interference, Applied Physics Letters, 115, 073901. (ESI hot paper and highly cited paper)

School of Materials Science and Engineering

Jun Wei junwei@hit.edu.cn

Dr Jun WEI is the professor in Harbin Institute of Technology (Shenzhen). Concurrently he is the University President Assistant, Director of Shenzhen Key Laboratory on Flexible and Printed Electronics Technology, Director of Flexible and Printed Electronics Center. Before this appointment, he was the Principal Scientist and Director of Research Liaison Office in Singapore Institute of Manufacturing Technology (SIMTech), the Additive Manufacturing Programme Manager for the Agency for Science, Technology and Research (A*STAR). Dr Wei’s research includes additive manufacturing, flexible and printed electronics. He has authored and co-authored over 800 publications in Chemical Society Reviews, Progress in Materials Science, Science Advances, Advanced Materials, Advanced Functional Materials, ACS Nano, JACS, Energy & Environmental Science, Chemistry of Materials, Journal of Materials Chemistry, Small, Nanoscale, Inorganic Chemistry, Additive Manufacturing, Acta Materialia, Scripta Materialia etc. with citations over 20000 times and H-index of 70. He is holding more than 80 technology disclosures and patents. He is serving several international conference committees and editorial boards.

Wei Wang weiwangsz@hit.edu.cn

Dr, Wang is currently a professor in the School of Materials Science and Engineering at HIT (Shenzhen). His research focuses on intelligent and biomimetic materials (nano- and micromachines), synthesis and applications of low-dimensional materials (mostly colloids), and dynamic assembly. He has published over 50 peer reviewed research articles in top research journals including PNAS, JACS, Angewandte, ACS Nano, PRL, etc., which have been cited over 2500 times (July 2020 data, Google Scholar)

Jun Mao maojun@hit.edu.cn

Professor Mao’s research mainly focuses on thermoelectric cooling materials and devices. In his group, they are aiming at understanding electron and phonon transport and discovering new materials with high thermoelectric performance. They have open positions for Ph.D. students, talented candidates with strong backgrounds in material science, physics, and solid-state chemistry are encouraged to apply.

Qunhui Yuan yuanqunhui@hit.edu.cn

Prof. Qunhui Yuan works in HIT Shenzhen campus since 2016 after her service in the Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences as a “Hundred Talent Program” professor of Chinese Academy of Sciences since 2011.
She obtained her Ph. D. of Physical Chemistry in the Institute of Chemistry, Chinese Academy of Sciences in 2006 and fulfilled her postdoctoral research in Clarkson University and Temple University in U.S. during 2007-2011. Her research interest is to reveal the environmental related problems, including investigating processes/reactions on surfaces at nanoscale and developing sensors for environmental hazards, by using techniques such as scanning probe microscopy, electrochemistry and fluorescence spectroscopy.

Xing-yi MA maxy@hit.edu.cn

Prof. Ma joined HIT, Shenzhen in 2021, before that he worked as Principle Investigator (senior-regular) at the Division of Intelligent Bio-systems of KBCI in Korea from 2019, and Research Professor of Institute of Convergence Chemical Engineering Systems at Korea University from 2015.  He graduated cum laude with outstanding honor from HIT, and then was selected by CSC of Chinese government for overseas study and obtained PhD and master degrees in Korea University and Sungkyunkwan University, respectively.  He is supporting by Taishan Industrial Experts Programme, Qianjiang Talents Programme, and Shenzhen High-level Talents Programme.

Who we are?
Our group nurtures students specialized in the field of nano-bio convergence with two teams of diverse research interests.
Team 1 is targeted on nanoscience-driven sensing and imaging which focuses on nanoplasmonics and optics for precision biomedicine and bioengineering.
Team 2 pursues fundamental improvement of nanomaterial/nanochip design and synthesis by exploiting the diverse functions of biomolecules and cells (e.g. microalgae).
Both provide an insight into the latest advances in the emerging sciences of nanomaterials and biomedicine. You are free to find a research direction on your own terms and you are unique in our group!

Who we need?
We welcome all students and partners in the related fields of chemistry, biology, optics, materials, medicine, microfluidics etc.
Now we are opening positions for visiting students and scholars in any levels, Research Assistants in the level of postgraduate, and credible Postdoctoral Fellows with competitive salaries in Shenzhen (~40k to 60k USD).
There are special places available for international students and scholars in our group, with a full scholarship and monthly stipends covering all expenses of housing and living. Therefore, we strongly encourage the candidates to join us based on the great support of the group, HIT and China. Our group is always devoting every effort to helping students obtain fellowships.

What we do?
Our group is sharing sufficient funds for the coming 3-year researches, and establishing stable cooperation channels with Korea University, Seoul National University and Peking University Shenzhen Hospital. Previous work has demonstrated our innovation in bio-directed nanomaterials for lab-on-a-chip sensing and cancer diagnosis, with several publications in Nature Communications, Nano Today, Biosensors and Bioelectronics, etc.

What you do?
You could be happy and successful in the excited scientific intersection in our group since we are always thinking of something interesting and useful in life, and for life!
Please feel free to contact with Email for more information. Thank you very much for your warm support!

School of Science

Wei Gan ganwei@hit.edu.cn

Prof. Wei Gan graduated from the University of Science and Technology of China (USTC) in 1998 with B.S. in Chemical Physics. 1998-2001 he worked in Chinese Academy of Engineering Physics (CAEP). 2001-2006 he graduated from the Institute of Chemistry, Chinese Academy of Sciences (CAS) and got his Ph. D in Chemical Physics with the supervision of Prof. Hongfei Wang. During 2006-2011 he worked as a postdoc in Prof. Rafael Yuste's group in the Columbia University and Prof. Hai-Lung Dai's group in the Temple University. 2011-2016 he worked in the Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences as a principle investigator. In 2016, he became a professor in the Harbin Institute of Technology, Shenzhen. So far he has published more than 60 research papers, including those published in Phys. Rev. Lett., Angew. Chem. Int. Ed., Annu. Rev. Phys. Chem., J. Phys. Chem., J. Chem. Phys. These reports have been cited more than 2500 times.
Prof. Gan’s group focuses on studying surface/interface molecular structures and dynamic processes in energy, environment, and biological related systems.

Hengzhi You youhengzhi@hit.edu.cn

Yingchun Li liyingchun@hit.edu.cn

Yingchun Li received her B.Sc. from Shihezi University in 2003, and M.Sc. from Xi’an Jiaotong University in 2006. She continued her Ph.D. study in Halle University in Germany and received her doctor degree in 2011. Then she joined Shihezi University as one scientist of the “Recruitment Program of Global Experts” (1000 Talent Plan). Now, Prof. Li continued her research in Harbin Institute of Technology (Shenzhen). As an independent PI, Prof. Li has published more than 70 research articles in well-known journals and got 5 national patents of invention. Prof. Li won the first prize of Provincial Science and Technology Progress Award of Xinjiang Bingtuan in 2017.
She is also the winner of Young Scientist Competition in the 27th International Symposium on PBA in the year of 2016. Li’ group focuses on biochemical analysis. At present, the laboratory had developed a series of highly sensitive and selective analytical devices, methods and materials, which have found great potentials in the fields of clinical medicine, pharmaceutical industry, drug screening, toxicity assessment, food safety, environmental monitoring, etc. The techniques concerned include electrochemistry, photoelectrochemistry, electrochemiluminescence, colorimetry, microfluidics, and so on.

Jia Zhou jiazhou@hit.edu.cn
Persional Profile: I obtained M.Sc. in theoretical chemistry at Fudan University. After obtaining Ph.D. at Wayne State University in US, I worked as Postdoc at Texas A&M University for one year and Oak Ridge National Lab for two years. Since 2014, I have been working in HIT as associate professor. My expertise is Materials Simulation and Computational Chemistry.
PhD Requirement:
Demonstrate proficiency in English or Chinese. The promising candidate should have at least one of the following backgrounds, such as quantum chemistry, computational chemistry, theoretical chemistry, materials simulation, molecular modeling, first-principle calculation and etc.

Yinghe Zhang

The Surface Science & Technology Group (SSTG), led by the chair professor Zhang, is active in carrying out research and outreach activities in the broad area of surfaces and interfaces, sensor technology, microelectronic devices, thin films, and nanotechnology. We educate and train the next generation of scientists and engineers in interdisciplinary fields. Outstanding opportunities exist for graduate students. They receive advanced training in many aspects of materials science,surface physics and chemistry, nanotechnology, bioengineering, device fabrication, and sensor technology. Beside traditional foundation courses, as well as specialized courses, specialized seminars and modules are presented by famous visiting scholars from around the world. The students of the SSTG also have the opportunity to work with scientists from other university, government, and industrial laboratories through collaborative research projects.
The SSTG, departments and our university provide instrumentation to synthesize and investigate materials properties at the atomic scale and up to macroscopic dimensions, as well as to fabricate and test a variety of micro/nano electronic devices and micro/nano systems. The funding base is derived from a mix of university, government and industrial sources.The SSTG brings together researchers and industrial collaborators for research and experimentation into interdisciplinary fields.
The SSTG researchers profit from the combined expertise of different disciplines. Their work will contribute to scientific advancements in many fields. The researchers of the SSTG could profit from the synergy brought about by many areas of expertise including physics, chemistry, chemical engineering, electrical engineering, bioengineering, mechanical engineering, and computer science. A wide variety of on-going activities span the range from fundamental research to applied development to technology transfer.The SSTG is home to researchers from a wide variety of scientific backgrounds including Chemistry, Physics, Engineering and Biology, etc. Our diverse scientific environment enables researchers in SSTG to focus on several areas of research.As the graduate students working at the SSTG, an Individualized Ph.D. Program in an interdisciplinary field is possible. Our door is always open for prospective students who have an interest in surface and interface Technology.

Mechanics

Dongfeng Li lidongfeng@hit.edu.cn

Professor Dongfeng Li is the director of Mechanics discipline at the Harbin Institute of Technology, Shenzhen. Dongfeng received his degree of undergraduate in Engineering Mechanics in 1999 and the degrees of PhD and Master in Solid Mechanics in 2005 all from Tsinghua University. After completing his PhD, he took up four postdoc positions at the University of Technology of Troyes, the Hong Kong Polytechnic University, University of Limerick and NUI Galway. Professor Li then joined the academic staff at Harbin Institute of Technology, shenzhen, after competing successfully the national academic talent programme. He was a Visiting Professor at NUI Galway and is the executive director of Guangdong mechanics society in 2021. Professor Li's research is in the area of multi-scale mechanics of engineering materials. His research interests mainly concern with the mechanistic insights on the process-structure-property relationship for a wide range of structural materials in atomic-fuel and fossil-fuel power-plants, aero-engine components and flexible electronic packaging devices. His research spirit focuses on the synergistic applications of the advanced modeling and experimental methods and particularly concentrates on the interdisciplinary integration to achieve novel and creative solutions for those realistic engineering issues or challenges at both the national and international levels. He has published over seventy research articles in these and related areas.

Zhenjun Jiao jiaozhenjun@hit.edu.cn

The microstructure of materials directly affects their macroscopic properties. Traditional methods rely on multi-scale calculations to investigate the relationship between microstructure and physical properties, but there are difficulties in modeling the cross-scale aspects of materials. According to the need of this topic, we are going to recruit doctor candidates to analyze the relationship between material microstructure features (2D and 3D) and material mechanical properties using different computational mechanics methods, such as phase field method and peridynamics. Students with backgrounds in mechanics, materials science, and computer science are welcome to submit their resumes.

Zaoyang Guo z-guo(at)foxmail.com

Dr. Zaoyang Guo received his Ph.D. degree in Engineering Mechanics from Northwestern University (USA) in 2004. He worked as a lecturer at University of Glasgow (UK) from 2006 to 2010, then as a reader at Newcastle University (UK) from 2010 to 2011. After that, he returned back to China and worked as a professor at Chongqing University in November 2011. He then joined the Institute of Solid Mechanics, Beihang University in July 2014. Prof. Guo moved to the School of Science, Harbin Institute of Technology (HIT), Shenzhen in November 2017. His research interests include mechanics of composites, computational solid mechanics, and biomechanics. He has published more than 60 journal papers in solid mechanics.

Jin Zhang jinzhang@hit.edu.cn

Jin Zhang is currently an associate professor in School of Science of (HIT), Shenzhen. He graduated from Hunan University in 2009 with B.S. degree in Engineering Mechanics and obtained his Ph.D. degree (2014) in Computational Mechanics at Swansea University, UK. He worked as a postdoctoral fellow at the Mechanics and Aerospace Design Laboratory, University of Toronto, Canada before he joined HIT. He received Swansea University Engineering Graduation Student Award and Student Award for Outstanding Achievement in ZCCE Research Centre, Swansea University.
His research interest includes electromechanics of nanomaterials, mechanics of biomaterials and nonlinear elasticity. He has co-authored over 90 journal papers.
Now he is the Member of Editorial Board of 5 international journals. Prospective candidates must possess good communication skills both written and oral, and show clearly their suitability for doctoral student positions by providing evidence of experience, interest and past contribution.

Computational Mathematics

Hui Liang lianghui@hit.edu.cn

Professor Hui Liang got her PHD degree from Harbin Institute of Technology in July,2008. She was a Visiting Research Scholar of Hong Kong Baptist University (HKBU) during March 1, 2010-September 31, 2011, and she visited HKBU many times. She was a Visiting Scholar of Memorial University of Newfoundland during December 1, 2017-November 30, 2018. Hui Liang worked at Heilongjiang University since 2008, then she moved to Harbin Institute of Technology (Shenzhen) in 2019. Hui Liangserves on the editorial boards of the journal “Computational & Applied Mathematics”.
She is a member of the Professional committee on simulation algorithms, ChinaSimulation Federation, and she is also a member of the Mathematical Society of Heilongjiang Province. Her research interests are: the numerical analysis of delay differential equations and Volterra integral equations.