Jinxia Zhang | Defect detection | Best Researcher Award

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

Ā 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 šŸŽ“

Assoc Prof Dr. Jinxia ZhangĀ  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 ZhangĀ  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 HonorsĀ  šŸ†

Assoc Prof Dr. Jinxia ZhangĀ  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 FocusĀ  šŸ”¬

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.

PublicationĀ  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.

Durga Ghosh | energy | Best Researcher Award

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Dr. Durga Ghosh | energy | Best Researcher Award

Dr. North Carolina State University, United States

Durga Prasad Ghosh is a postdoctoral scholar specializing in mechanical engineering, currently at North Carolina State University. He holds a Ph.D. from the Indian Institute of Technology, Patna, and an M.Tech. in Thermal Engineering from Kalinga Institute of Industrial Technology. Ghosh has extensive research experience, having worked on projects related to thermal energy storage, water desalination, and evaporator design. He has taught courses at Oregon State University and Gandhi Institute of Excellent Technocrats. His notable achievements include securing research funding, publishing in peer-reviewed journals, and being a semi-finalist in the American-Made Geothermal Lithium Extraction Prize.

 

Professional Profiles:

Scopus

EducationšŸŽ“

Ph.D., Mechanical Engineering
Indian Institute of Technology, Patna, India
June 2015 ā€“ October 2019CGPA: 8.25/10šŸŽ“ M.Tech., Thermal Engineering
Kalinga Institute of Industrial Technology, India
June 2012 ā€“ June 2014CGPA: 9.15/10 (Highest in the department)šŸŽ“ B.Tech., Mechanical Engineering
Gandhi Institute of Engineering Technology, India
August 2007 ā€“ July 2011CGPA: 7.42/10

Awards and Achievements šŸ†

2021: Selected as one of the semifinalists in “The American-Made Geothermal Lithium Extraction Prize” and gained funding of $40,000. 018: Secured 1st position in ā€œMy Research in Three Minutesā€ competition on 7th Research Scholarā€™s Day, IIT Patna, 2018. 2014: Received Vice Chancellor Silver Medal for securing the highest mark in Thermal Engineering during M.Tech. 2004: Won a GOLD medal at All Orissa Geography Talent Test, 2004.
2003: Secured an All India rank of 323 in the 3rd National Science Olympiad, 2003.

Leadership and ServicešŸ”§

2019 – 2023: Led a team of Postdocs, graduate, and undergraduate students across four universities to successfully complete a multi-million dollar DOE project. šŸ”§ 2019: Volunteered in organizing the 8th Research Scholarā€™s Day, IIT Patna, 2019. 2017: Volunteered in organizing the 6th Research Scholarā€™s Day, IIT Patna, 2017. 2013: Volunteered in organizing the 1st KIIT International Symposium on Advances in Automotive Technology (KIIT SAAT), 2013. Ā 2008 – 2009: Served as an Office Bearer of the Mechanical Engineering Student Association (MESA), GIET, Gunupur, India.

Professional Experience

šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
North Carolina State University, Raleigh, NC, USA
April 2023 ā€“ PresentLeading the design, fabrication, and experimentation of nature-inspired variable capacity evaporators for low Global Warming Potential (GWP) refrigerants.Enhancing condensation via optimized gradient wick structures.šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
University of Michigan, Ann Arbor, MI, USA
April 2023 ā€“ April 2024Led projects on thermal energy storage, supervising 2 graduates and 3 undergraduates.Studied hydration kinetics of salt hydrates in a through-flow reactor for thermochemical energy storage.Analyzed data to establish trade-offs between specific power and specific energy.Utilized CAD software SolidWorks for 3D modeling and performed thermal simulation using COMSOL.šŸ› ļø Instructor of Record, Energy System Engineering
Oregon State University, Bend, OR, USA
January 2023 ā€“ March 2023Taught Heat Transfer (ME332) for the winter term.Developed course content and conducted review sessions.Managed course materials and assignments on CANVAS.šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
Oregon State University, Bend, OR, USA
December 2019 ā€“ April 2023Led a team working on a novel Zero Liquid Discharge (ZLD) humidification-dehumidification water desalination system.Managed contractual milestones for multimillion-dollar US DOE awards.Conducted independent research and supervised PhD, graduate, and undergraduate students.šŸ› ļø Project Fellow, Mechanical Engineering
Indian Institute of Technology, Patna, India
December 2014 ā€“ October 2019Designed and fabricated experimental setups for flow boiling in nanostructured microchannels.Performed Fast Fourier Transform Analysis in MATLAB.šŸ› ļø Assistant Professor, Mechanical Engineering
Gandhi Institute of Excellent Technocrats, Bhubaneswar, India
July 2014 ā€“ November 2014Taught undergraduate courses on Basic Thermodynamics and Heat Transfer.Developed course content and conducted review sessions.

āœļøPublications Top Note :

Abstract: Anti-fouling Rotating Polymer-Based Heat Exchanger for Zero Liquid Discharge Humidification-Dehumidification Desalination

Authors: Ghosh, D.P., Hassan, M., Dennis, S.J., Elhashimi-Khalifa, M.A., Abbasi, B. Journal: Water Research, 2024, 258, 121749

Fouling Mechanism in Airblast Atomizers and Its Suppression for Water Desalination

Authors: Sharma, D., Ghosh, D.P., Dennis, S.J., Abbasi, B.

Journal: Water Research, 2022, 221, 118726

Development of an Anti-Clogging Perforated Plate Atomizer for a Zero Liquid Discharge Humidification-Dehumidification Desalination System

Authors: Sharma, D., Ghosh, D.P., Rote, J.N., Zhang, X., Abbasi, B.

Journal: Desalination, 2021, 515, 115195

Mitigation of Transient Fluctuations During Flow Boiling in Microchannels via Adaptive Vapor Venting

Authors: Ghosh, D.P., Sharma, D., Abbasi, B.

Journal: IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021, 11(10), pp. 1645ā€“1654

An Ingenious Fluidic Capacitor for Complete Suppression of Thermal Fluctuations in Two-Phase Microchannel Heat Sinks

Authors: Ghosh, D.P., Sharma, D., Kumar, A., Saha, S.K., Raj, R.

Journal: International Communications in Heat and Mass Transfer, 2020, 110, 104347

Facile Fabrication of Nanostructured Microchannels for Flow Boiling Heat Transfer Enhancement

Authors: Ghosh, D.P., Sharma, D., Mohanty, D., Saha, S.K., Raj, R.

Journal: Heat Transfer Engineering, 2019, 40(7), pp. 537ā€“548

Thermohydraulic Characterization of Flow Boiling in a Nanostructured Microchannel Heat Sink with Vapor Venting Manifold

Authors: Sharma, D., Ghosh, D.P., Saha, S.K., Raj, R.

Journal: International Journal of Heat and Mass Transfer, 2019, 130, pp. 1249ā€“1259

Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

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Mr. Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Mr. Aalto University, Finland

Mohammadjavad Shabanpoursheshpoli is a dedicated Marie Curie Early-stage researcher and PhD candidate specializing in applied electromagnetics and telecommunications, with a focus on Reconfigurable Intelligent Surfaces (RIS) for 5G and 6G wireless networks. He has published over 10 journal papers and received several prestigious awards, including the 2023 Nokia Foundation scholarship for outstanding research in RIS-based 6G networks. He was an invited speaker at Metamaterials 2023 and named the best-performing research fellow of the Meta wireless project in 2022. He holds a PhD from Aalto University and has earned full scholarships and top academic rankings throughout his education.

 

Professional Profiles:

Google scholar

šŸŽ“ Education

Ph.D.Aalto University, Espoo, Finland5/5 (passed all 40 credits)M.Sc.Iran University of Science & Technology, Tehran, Iran16.65/20B.Sc.Babol Noshirvani University of Technology, Babol, Iran

šŸ“œ Honours & Awards

šŸŽ“ Motivated and Accomplished Researcher

Marie Curie Early-Stage Researcher (PhD candidate) specializing in applied electromagnetics and telecommunication, focusing on Reconfigurable Intelligent Surfaces for 5G and 6G wireless networks.

Committed to advancing telecommunication technology through a combination of rigorous theory and practical expertise, resulting in 10+ published journal papers recognized within the academic community.

šŸ… 2023 Nokia Foundation Scholarship

Recognized for outstanding research contributions in the field of RIS-based 6G wireless networks.

šŸŽ¤ Invited Speaker

Accepted as an invited speaker for the 17th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2023) in Greece.

šŸŒŸ Best-Performing Research Fellow

Selected as the “2022 best-performing research fellow of the Meta Wireless Project” in Gaeta, Italy (14 Nov. 2022).

šŸŽ“ Full Scholarships

Received a full scholarship from H2020 Marie Skłodowska-Curie Innovative Training Networks (ITNs) under grant agreement NO 956256.

Awarded a full scholarship from Noshirvani Institute of Technology & Iran University of Science and Technology (tuition waiver).

šŸ“š Top-Cited Paper

Awarded a top-cited paper 2020-2021 in Annalen der Physik by Wiley.

šŸ“ˆ Academic Achievements

Ranked 3rd GPA among the graduating class in the master’s program at Iran University of Science and Technology.Ranked within the top 0.05% in the Iranian university entrance exam for a masterā€™s degree in electrical engineering (2016).Ranked within the top 0.1% in the Iranian university entrance exam for a bachelor’s degree (2012).

āœļøPublications Top Note :

“Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering”

(Scientific Reports, 2020) – Cited 103 times.

“Deep neural network-based automatic metasurface design with a wide frequency range”

(Scientific Reports, 2021) – Cited 72 times.

“Asymmetric spatial power dividers using phaseā€“amplitude metasurfaces driven by Huygens principle”

(ACS Omega, 2019) – Cited 66 times.

“Programmable anisotropic digital metasurface for independent manipulation of dual-polarized THz waves based on a voltage-controlled phase transition of VOā‚‚ microwires”

(Journal of Materials Chemistry C, 2020) – Cited 63 times.

“Reconfigurable honeycomb metamaterial absorber having incident angular stability”

(Scientific Reports, 2020) – Cited 44 times.

“A deep learning approach for inverse design of the metasurface for dual-polarized waves”

(Applied Physics A, 2021) – Cited 36 times.

“Real-time multi-functional near-infrared wave manipulation with a 3-bit liquid crystal-based coding metasurface”

(Optics Express, 2021) – Cited 30 times.

“Full Manipulation of the Power Intensity Pattern in a Large Space-Time Digital Metasurface: From Arbitrary Multibeam Generation to Harmonic Beam Steering Scheme”

(Annalen der Physik, 2020) – Cited 23 times.

“Implementation of conformal digital metasurfaces for THz polarimetric sensing”

(OSA Continuum, 2021) – Cited 22 times.

“Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor”

(Journal of Physics D: Applied Physics, 2020) – Cited 18 times.

Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

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Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

Assoc Prof Dr. Yves Mbono Samba, University of Yaounde 1, Cameroon

Assoc Prof Dr. Yves Mbono Samba 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:

Scopus

šŸ“šEducation:

Doctorate in Mechanics, University of Paris 6 (June 1995)Diploma of Advanced Studies in Mechanics, University of Paris 6 (June 1991)MaĆ®trise (bachelor’s degree) in Mechanics, University of Paris 6 (September 1990)Degree in Physics, University of Paris Sud (June 1988)Diploma of General University Studies, UniversitĆ© Paris Sud (June 1986)

Experience:

Lecturer at University of YaoundƩ 1 (since 1995)

Academic Achievements:

I have been actively involved in teaching, research, and student project supervision, guiding 7 PhD and 15 Masterā€™s degree students over the years. My academic journey has been enriched by numerous publications and contributions to the field of mechanics.

1. Vortex Waves in Fluidā€“Structure Interaction with High Froude Number and a Damped Structure
Simo Kaptue, H., Ngou Zeufo, L., Mbono Samba, Y., KofanƩ, T.C.
Ocean Engineering, 2024, 306, 117946

2. Theoretical Analysis of Non-linear Dynamic Response of a Bridge Pier Under Two-phase Flow Excitation
Ngou, L.Z., Simo, H.K., Lekama, B.K., Fewo, S.I., Mbono Samba, Y.C.
Journal of Mechanical Science and Technology, 2023, 37(11), pp. 5683ā€“5693

3. Examining Capillary Dynamics in Rectangular and Circular Conduits Subject to Unsteady Surface Tension
Azese, M.N., Engola, J.J., Hona, J., Yap, E.J., Mbono Samba, Y.C.
Journal of Fluid Mechanics, 2022, 949, A6

4. An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
Gounou Pokam, B.P., Domra Kana, J., Meliā€™i, J.L., Mbono Samba, Y.C., Njandjock Nouck, P.
Applied Sciences (Switzerland), 2022, 12(14), 7175

5. On the Existence and Determination of the Incompressible Laminar Flow Located in the Polar Plane of a Porous Annular Pipe
Makon, N.R., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Alexandria Engineering Journal, 2022, 61(4), pp. 2637ā€“2650

6. Effects of an External Constant Pressure Gradient on a Steady Incompressible Laminar Flow Through a Semi-porous Annular Pipe
Mbogba, G.L., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Zeitschrift fĆ¼r Naturforschung – Section A Journal of Physical Sciences, 2022, 77(2), pp. 131ā€“141

7. Dynamic Analysis and Numerical Simulation of Flexible Multibody Systems
Mbono Samba, Y.C., Pascal, M.
Mechanics of Structures and Machines, 2001, 29(3), pp. 295ā€“316