Jinxia Zhang | Defect detection | Best Researcher Award

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Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

 Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang  earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang  is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors  🏆

Assoc Prof Dr. Jinxia Zhang  has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus  🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication  Top Notes

  • Towards the Quantitative Evaluation of Visual Attention Models (2015)
    • Citation: 75
    • Journal: Vision Research
    • Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
    • Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
  • A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
    • Citation: 63
    • Journal: Pattern Recognition
    • Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
    • Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
  • Salient Object Detection by Fusing Local and Global Contexts (2020)
    • Citation: 60
    • Journal: IEEE Transactions on Multimedia
    • Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
    • Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
  • Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
    • Citation: 36
    • Journal: Journal of Modern Power Systems and Clean Energy
    • Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
    • Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
  • Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
    • Citation: 35
    • Journal: Journal of Vision
    • Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
    • Highlights: Examines human visual foraging behavior in dynamically changing environments.
  • Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
    • Citation: 25
    • Journal: Biomedical Signal Processing and Control
    • Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
    • Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
  • A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
    • Citation: 23
    • Journal: Applied Energy
    • Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
    • Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
  • Salient Object Detection via Deformed Smoothness Constraint (2018)
    • Citation: 21
    • Journal: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
    • Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
  • Character Recognition via a Compact Convolutional Neural Network (2017)
    • Citation: 20
    • Conference: International Conference on Digital Image Computing
    • Key Contributors: H. Zhao, Y. Hu, J. Zhang
    • Highlights: Develops a compact CNN for robust character recognition in natural scene images.
  • A Prior-Based Graph for Salient Object Detection (2014)
    • Citation: 23
    • Conference: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
    • Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Prof Dr. Taeksoo Jang | Apllied | Best Researcher Award

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Prof Dr. Taeksoo Jang | Apllied | Best Researcher Award

Prof Dr. Taeksoo Jang, Pusan National University, South Korea

Prof Dr. Taeksoo Jang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

📚 Education

1987–1991
B.S., Pusan National University, Busan, Republic of Korea
Department of Naval Architecture and Ocean Engineering1991–1993
M.S., Seoul National University, Seoul, Republic of Korea
Department of Naval Architecture and Ocean Engineering1993–1999
Ph.D., Seoul National University, Seoul, Republic of Korea
Department of Naval Architecture and Ocean EngineeringPh.D. Thesis: Application of the inverse theory to ill-posed two-dimensional ship hydrodynamic problemsSupervisor: Hang S, Choi, Ph.D., Prof.

🛠️ Professional Experiences

01/2000–12/2001
JSPS Researcher, Institute of Industrial Science, University of Tokyo, Tokyo, Japan
(JSPS: Japan Society for the Promotion of Science hosted by the Ministry of Education, Culture, Sports, Science and Technology, Japan)01/2002–09/2003
Senior Researcher, Korea Research Institute of Ships & Ocean Engineering, Daejeon, Republic of Korea03/2006–02/2013
Vice-Director, MIT Group for High-Added Value Ships and Offshore Structures for Deep Sea Resources Exploration (BK21), Pusan National University12/2011–03/2016
Director, Arctic Engineering Research Center, The Korea Ship and Offshore Research Institute, Pusan National University10/2003–present
Professor, Department of Naval Architecture and Ocean Engineering, Pusan National University
Dept. of Naval Architecture and Ocean Engineering, Building 407, Room 218, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, Republic of Korea 46241
📞 +82 51 510 2789 • 📠 +82 51 581 3718 08/2013–08/2014
Visiting Professor, Wessex Institute of Technology, Southampton, UK06/2017–02/2022
Division Manager, Engineering Research Center (ERC); Industrial “Mathematics” Center (NRF-2017R1A5A1015722), Pusan National University09/2019–08/2020
Visiting Professor, Deep Ocean Engineering Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO)

📜 Academic Societies

2002–present
Member, The Korean Society of Ocean Engineers2002–present
Member, The Society of Naval Architects of Korea2012–2012
Associate Member, The Royal Institution Of Naval Architects2012–2015
Member, International Ship and Offshore Structures Congress (ISSC), Environment Committee2012–2015
Committee Chairman, The Korea Ship and Offshore Structures Congress (KSSC), Environment Committee, The Society of Naval Architecture of Korea2015–2015
Scientific Board, International Conference on Ships and Offshore Structures

💼 Technical Advisory Panels and Committees

2008–present
Advisory Committee, The Lloyd’s Register Educational Trust Research Centre of Excellence, Pusan National University2011–present
Advisory Committee, Korea Research Institute of Ships & Ocean Engineering2012–2012
Local Committee, Asian Wave and Tidal Energy Conference

🏛️ Technical Societies

2007–2015
Editorial Board Member, The Open Ocean Engineering Journal2007–2015
Editorial Board Member, The Open Hydrology Journal2012–2013
Editorial Board Member, Radical Journal of Mathematical Physics2013–2014
Editorial Board Member, American Journal of Applied Mathematics2006–present
Editorial Board Member, Ships and Offshore Structures (SCIE Journal)2013–present
Editorial Board Member, Advanced Shipping and Ocean Engineering2017–present
Editorial Board Member, International Journal of Oceanography & Aquaculture2020–present
Editorial Board (Academic Editor), Mathematical Problems in Engineering (SCIE Journal)

🏆 Prizes and Honors

1991
Graduation with honors, The Society of Naval Architects of Korea1995
USO Six Star Honorees, United Service Organizations

💡 Interests

I’m interested in developing a mathematical method for discovering a problem arising in fluid mechanics, water waves, floating body mechanics, and their combined inverse problems (regularization techniques to remedy the ill-posedness): system identification of offshore structures.Nonlinear (ocean) system identification (inverse problems)Techniques to remedy the ill-posednessDeveloping nonlinear numerical schemes for ODE & PDEWater waves and wave mechanics

🌐 Languages

English: ExcellentJapanese: ExcellentKorean: Native language

📖 Publications Top Note :

Indirect measurement of the impulsive load to a nonlinear system from dynamic responses: inverse problem formulation

Authors: TS Jang, H Baek, SL Han, T Kinoshita

Journal: Mechanical Systems and Signal Processing

Volume: 24 (6), Pages: 1665-1681, Year: 2010

Citations: 64

A new semi-analytical approach to large deflections of Bernoulli–Euler-v. Karman beams on a linear elastic foundation: Nonlinear analysis of infinite beams

Author: TS Jang

Journal: International Journal of Mechanical Sciences

Volume: 66, Pages: 22-32, Year: 2013

Citations: 62

A new method for the non-linear deflection analysis of an infinite beam resting on a non-linear elastic foundation

Authors: TS Jang, HS Baek, JK Paik

Journal: International Journal of Non-Linear Mechanics

Volume: 46 (1), Pages: 339-346, Year: 2011

Citations: 58

A new method for detecting non-linear damping and restoring forces in non-linear oscillation systems from transient data

Authors: TS Jang, HS Choi, SL Han

Journal: International Journal of Non-Linear Mechanics

Volume: 44 (7), Pages: 801-808, Year: 2009

Citations: 44

Evaluation of the added mass for a spheroid-type unmanned underwater vehicle by vertical planar motion mechanism test

Authors: SK Lee, TH Joung, SJ Cheo, TS Jang, JH Lee

Journal: International Journal of Naval Architecture and Ocean Engineering

Volume: 3 (3), Pages: 174-180, Year: 2011

Citations: 43

Non-parametric simultaneous identification of both the nonlinear damping and restoring characteristics of nonlinear systems whose dampings depend on velocity alone

Author: TS Jang

Journal: Mechanical Systems and Signal Processing

Volume: 25 (4), Pages: 1159-1173, Year: 2011

Citations: 36

Recovering the functional form of the nonlinear roll damping of ships from a free-roll decay experiment: An inverse formulism

Authors: TS Jang, SH Kwon, JH Lee

Journal: Ocean Engineering

Volume: 37 (14-15), Pages: 1337-1344, Year: 2010

Citations: 36

A new dispersion-relation preserving method for integrating the classical Boussinesq equation

Author: TS Jang

Journal: Communications in Nonlinear Science and Numerical Simulation

Volume: 43, Pages: 118-138, Year: 2017

Citations: 35

A general method for analyzing moderately large deflections of a non-uniform beam: an infinite Bernoulli–Euler–von Kármán beam on a nonlinear elastic foundation

Author: TS Jang

Journal: Acta Mechanica

Volume: 225, Pages: 1967-1984, Year: 2014

Citations: 35

An efficient numerical scheme for analyzing bioconvection in von-Kármán flow of third-grade nanofluid with motile microorganisms

Authors: MZ Ullah, TS Jang

Journal: Alexandria Engineering Journal

Volume: 59 (4), Pages: 2739-2752, Year: 2020

Citations: 31

A new solution procedure for the nonlinear telegraph equation

Author: TS Jang

Journal: Communications in Nonlinear Science and Numerical Simulation

Volume: 29 (1-3), Pages: 307-326, Year: 2015

Citations: 31

A method for simultaneous identification of the full nonlinear damping and the phase shift and amplitude of the external harmonic excitation in a forced nonlinear oscillator

Author: TS Jang

Journal: Computers & Structures

Volume: 120, Pages: 77-85, Year: 2013

Citations: 30

A new method for measuring nonharmonic periodic excitation forces in nonlinear damped systems

Authors: TS Jang, H Baek, HS Choi, SG Lee

Journal: Mechanical Systems and Signal Processing

Volume: 25 (6), Pages: 2219-2228, Year: 2011

Citations: 28

Inverse determination of the loading source of the infinite beam on elastic foundation

Authors: TS Jang, HG Sung, SL Han, SH Kwon

Journal: Journal of Mechanical Science and Technology

Volume: 22, Pages: 2350-2356, Year: 2008

Citations: 28

Numerical experiments on an ill-posed inverse problem for a given velocity around a hydrofoil by iterative and noniterative regularizations

Authors: TS Jang, HS Choi, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 107-111, Year: 2000

Citations: 27

Solution of an unstable inverse problem: wave source evaluation from observation of velocity distribution

Authors: TS Jang, HS Choi, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 181-188, Year: 2000

Citations: 25

An ill-posed inverse problem of a wing with locally given velocity data and its analysis

Authors: TS Jang, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 16-20, Year: 2000

Citations: 24

A new semi-analytical method for the non-linear static analysis of an infinite beam on a non-linear elastic foundation: a general approach to a variable beam cross-section

Authors: TS Jang, HG Sung

Journal: International Journal of Non-Linear Mechanics

Volume: 47 (4), Pages: 132-139, Year: 2012

Citations: 22

Solution of an unstable axisymmetric Cauchy–Poisson problem of dispersive water waves for a spectrum with compact support

Authors: TS Jang, SH Kwon, BJ Kim

Journal: Ocean Engineering

Volume: 34 (5-6), Pages: 676-684, Year: 2007

Citations: 20

An integral equation formalism for solving the nonlinear Klein–Gordon equation

Author: TS Jang

Journal: Applied Mathematics and Computation

Volume: 243, Pages: 322-338, Year: 2014

Citations: 19