Dr. Zhenming Zhang | Environmental Pedology | Best Researcher Award

Dr. Zhenming Zhang | Environmental Pedology | Best Researcher Award

Doctorate at Guizhou University, China

πŸ‘¨β€πŸŽ“ Publication Profiles

Scopus

Orcid

Publications

Assembly, network stability, and influencing factors of soil bacterial communities along altitudinal gradients in Southwest China’s fragile regions

  • Authors: Jiachun Zhang, Yunchao Zhou, Zhenming Zhang, Yanchao Lv
  • Journal: Environmental Technology and Innovation
  • Year: 2025

Effects of different eco-stoichiometric ratios of calcium and cadmium on the detoxification mechanisms of Capsicum annuum L. under cadmium stress

  • Authors: Qiuxiao Yan, Shaoxia Lin, Fuxiao Wei, Zhenming Zhang, Daoping Wang
  • Journal: Journal of Hazardous Materials
  • Year: 2025

Revealing the ecological transitions and driving mechanisms in plateau lake wetlands conservation through a three-decade landscape ecology analysis

  • Authors: Wen Hu, Zhenming Zhang, Guiting Mu
  • Journal: Journal of Cleaner Production
  • Year: 2025

Spatial and temporal dynamics of fragmentation and an ecosystem health assessment of plateau blue landscapes: A case study of the Caohai wetland

  • Authors: Fupeng Li, Yongcheng Jiang, Lei Wu, Zhenming Zhang
  • Journal: Catena
  • Year: 2025

Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Area

  • Author: Yongcheng Jiang, Fupeng Li, Yufeng Gong, Xiuyuan Yang, Zhenming Zhang
  • Journal: Land Degradation and Development
  • Year: 2025

Prof. Xin Nie | Digital Core Analysis | Best Researcher Award

Prof. Xin Nie | Digital Core Analysis | Best Researcher Award

Professor at Yangtze University | China

πŸ‘¨β€πŸŽ“ Publication Profiles

Scopus

Orcid

Publications

Logging Evaluation of Irreducible Water Saturation: Fractal Theory and Data-Driven Approachβ€”Case Study of Complex Porous Carbonate Reservoirs in Mishrif Formation

  • Authors: Jianhong Guo, Zhansong Zhang, Xin Nie, Qing Zhao, Hengyang Lv
  • Journal: Fractal and Fractional
  • Year: 2024
  • DOI: 10.3390/fractalfract8080487

A Fast Workflow for Automatically Extracting the Apparent Attitude of Fractures in 3-D Digital Core Images

  • Authors: Ying Zhou, Deshuang Chang, Jianxiong Zheng, Douxing Zhu, Xin Nie
  • Journal: Processes
  • Year: 2023
  • DOI: 10.3390/pr11092517

Numerical Simulation of Electrical Properties of Carbonate Reservoirs Using Digital Rocks

  • Authors: Yuting Hou, Die Liu, Taiping Zhao, Jinyu Zhou, Lili Tian, Xiaopan Kou, Baoding Zhu, Xin Nie
  • Journal: Processes
  • Year: 2023
  • DOI: 10.3390/pr11072214

U-Net model for multi-component digital rock modeling of shales based on CT and QEMSCAN images

  • Authors: Bingke Li, Xin Nie, Jianchao Cai, Xueqing Zhou, Chenchen Wang, Denglin Han
  • Journal: Journal of Petroleum Science and Engineering
  • Year: 2022
  • DOI: 10.1016/j.petrol.2022.110734

Lithology Classification and Porosity Estimation of Tight Gas Reservoirs With Well Logs Based on an Equivalent Multi-Component Model

Ms. Xiaotian Zhou | Large-Scale Vision | Best Researcher Award

Ms. Xiaotian Zhou | Large-Scale Vision | Best Researcher Award

Zhejiang University of Science and Technology, China

πŸ‘¨β€πŸŽ“ Profiles

Orcid

Publications

Research on the Upgrading of University Library Platform Service from the Perspective of Digitalization

  • Author: Xiaotian Zhou
    Journal: International Journal of Educational Development
    Year: 2025

Research on the Construction of Cultural Landscape in University Libraries from the Perspective of Communication Studies

  • Author: Xiaotian Zhou
    Journal: Designs
    Year: 2022

Research on the Application of Agenda Setting Theory in University Libraries: A Case Study of Zhejiang University of Science and Technology Library

  • Author: Xiaotian Zhou
    Journal: Journal of Wuzhou University
    Year: 2022

Dr. Sohyun Kim | Architectural Engineering | Best Researcher Award

Publications

Framework for the automated generation of 2-dimensional architectural drawings from building information models using deep learning

  • Authors: Sohyun Kim, Changsoon Choi, Kwangbok Jeong, Jaewook Lee, Taehoon Hong, Choongwan Koo, Jongback An
    Journal: Expert Systems with Applications
    Year: 2025

Automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN

  • Authors: Sohyun Kim, Jimin Lee, Kwangbok Jeong, Jaewook Lee, Taehoon Hong, Jongbaek An
    Journal: Expert Systems with Applications
    Year: 2024

Framework of BIM-Based Quantitative Evaluation for Enhancing Fire Safety Performance of Buildings

  • Authors: Sohyun Kim, Jongil Ma, Jaewook Lee, Taehoon Hong, Jongbaek An, Kwangbok Jeong
    Journal: Journal of Management in Engineering
    Year: 2024

Deep learning–based automated generation of material data with object–space relationships for scan to BIM

  • Authors: Sohyun Kim, Kwangbok Jeong, Taehoon Hong, Jaehong Lee, Jaewook Lee
    Journal: Journal of Management in Engineering
    Year: 2023

An integrated assessment framework of economic, environmental, and human health impacts using scan-to-BIM and life-cycle assessment in existing buildings

  • Authors: Sohyun Kim, Hyeonggyun Kim, Jaewook Lee, Taehoon Hong, Kwangbok Jeong
    Journal: Journal of Management in Engineering
    Year: 2023

Dr. Abdelaziz Daoudi | Image Processing | Best Researcher Award

Dr. Abdelaziz Daoudi | Image Processing | Best Researcher Award

Doctorate at Tahri Mohammed university, Algeria

πŸ‘¨β€πŸŽ“ Profiles

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Publications

Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm

  • Authors: Abdelaziz Daoudi, SaΓ―d Mahmoudi
    Journal: Computers
    Year: 2024

Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets

  • Authors: Catalina Tobon-Gomez, Arjan J Geers, Jochen Peters, JΓΌrgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B Michael Kelm, SaΓ―d Mahmoudi, SΓ©bastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S Rhode
    Journal: IEEE transactions on medical imaging
    Year: 2015

Mrs. Deepthi S | Medical Image Analysis | Best Researcher Award

Publications

Gradient Propagation Based DenseNet121 with ResNet50 Feature Extraction for Lymphoma Classification

  • Author: Srinivasan, D.; Kalaiarasan, C.
    Journal: Journal of The Institution of Engineers (India): Series B
    Year: 2024

Non Hodgkin’s Lymphoma Classification using Improved Predator Optimization Based Densenet121 Model

  • Author: Deepthi S; Dr. M. Chandrasekhar
    Journal: Journal of Electrical Systems
    Year: 2024

Harnessing ResNet50 and DenseNet201 for Enhanced Lymphoma Diagnosis via Feature Extraction

  • Author: Deepthi S; Dr. M. Chandrasekhar
    Journal: Frontiers in Health Informatics
    Year: 2024

An efficient face image retrieval system based on attribute sparse codewords

  • Author: Deepthi S
    Journal: International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)
    Year: 2016

Dr. Zhou Zhang | Computer Vision | Best Researcher Award

Dr. Zhou Zhang | Computer Vision | Best Researcher Award

Doctorate at SUNY Farmingdale State College, United States

πŸ‘¨β€πŸŽ“ Profiles

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πŸŽ“ Early Academic Pursuits

Dr. Zhou (Joe) Zhang embarked on his academic journey with a strong foundation in mechanical and electrical engineering. His early education culminated in a Ph.D. in Mechanical Engineering from Stevens Institute of Technology, where he was awarded the prestigious James Harry Potter Award in 2018 for outstanding doctoral performance. During his doctoral studies, Dr. Zhang explored virtual reality applications in engineering education, including camera pose tracking, data fusion, and the development of virtual laboratoriesβ€”an area that would become a cornerstone of his future research.

🏫 Professional Endeavors

Dr. Zhang’s academic career is marked by progressive teaching and research roles. He currently serves as an Assistant Professor at SUNY Farmingdale State College, where he teaches Tool Design and Electronics Packaging. Previously, he held key positions including Associate Professor at Middle Tennessee State University and Assistant Professor at CUNY’s New York City College of Technology, where he played a central role in launching and coordinating the Robotics Concentration. His professional journey also includes roles as a Visiting Research Scholar at NYU, a Research Associate at Southeast University, and an Electrical Engineer at CRRC Nanjing Puzhen Co., Ltd, as well as a Mechanical Engineer at CETC’s 14th Research Institute.

πŸ”¬ Contributions and Research Focus

Dr. Zhang’s research bridges academic theory and practical implementation. His major contributions span virtual reality (VR) and augmented reality (AR) for engineering education, AI and machine learning applications in robotics, force-feedback robotics, and bio-inspired virtual assembly systems. His work has been funded by institutions such as CUNY GRTI and CUNY Research Awards, including notable projects like the AI and Machine Learning in Co-Robotics and the Virtual Assembly Platform for Engineering Education. Earlier in his career, he was also involved in state-funded research in China, including a $5 million smart controller project backed by the State Grid Corporation of China.

🌍 Impact and Influence

Dr. Zhang has made a tangible impact on student development, workforce readiness, and interdisciplinary education. His initiatives include establishing co-op and internship collaborations with industry, mentoring undergraduate research, and leading programs like the Virtual Reality and Artificial Intelligence Club. He also contributed to maintaining ABET accreditation, aligning curriculum development with institutional and industry standards. His mentorship has supported student participation in key events such as the Brooklyn Navy Yard Competition, Maker Faire, and the CUNY Black Male Initiative Conference.

πŸ“š Academic Citations & Publications

Dr. Zhang’s scholarly work is extensively cited in the domains of VR-based education, 3D reconstruction, force-feedback robotics, and embedded systems. His contributions have not only advanced academic research but also enriched applied engineering education. As one of the main investigators in several NSF-funded projects, his research continues to influence both academic curricula and practical engineering tools.

πŸ’» Technical Skills

Dr. Zhang is proficient in a variety of engineering and programming tools, including virtual reality system design, computer-aided engineering, middleware integration, finite element methods (FEM), and AI/machine learning applications in robotics. His skills encompass real-time 3D reconstruction, electromagnetic field simulation, and embedded systems design, with applications extending to DSP, ARM-based controls, and semiconductor converters.

πŸ§‘β€πŸ« Teaching Experience

With over two decades of teaching experience, Dr. Zhang has taught a wide array of courses across institutions like SUNY Farmingdale, CUNY, NJIT, and Middle Tennessee State University. His teaching portfolio includes Mechanical Measurement, Stress Analysis, Rapid Prototyping, Programmable Logic Controllers, and AI-integrated robotics courses. He has served in diverse capacitiesβ€”course designer, club advisor, curriculum developer, and research mentorβ€”demonstrating his commitment to academic excellence and student engagement.

πŸ† Awards and Honors

Dr. Zhang has received multiple accolades for his dedication to academic and research excellence. In addition to the James Harry Potter Award, he earned graduate travel grants from Stevens Institute of Technology, recognizing his contributions to engineering research and academic dissemination.

πŸš€ Legacy and Future Contributions

Dr. Zhang’s legacy lies in his ability to blend innovative research with effective teaching, transforming traditional mechanical engineering education through technology. His future goals include advancing interdisciplinary robotics education, expanding virtual learning platforms, and fostering global academic-industry collaborations. With a career devoted to bridging theoretical knowledge and real-world applications, Dr. Zhang continues to inspire students and colleagues alike, shaping the future of engineering education and technological innovation.

 

Publications

The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

  • Authors: Momina Liaqat Ali, Zhou Zhang
    Journal: Computers
    Year: 2024

Project-Based Courses for B.Tech. Program of Robotics in Mechanical Engineering Technology

  • Authors: Zhang Z., Zhang A.S., Zhang M., Esche S.
    Journal:
    Computers in Education Journal
    Year:
    2020

A Virtual laboratory system with biometric authentication and remote proctoring based on facial recognition

  • Authors: Zhang, Z.; Zhang, M.; Chang, Y.; Esche, S.K.; Chassapis, C.
    Journal: Computers in Education
    Year: 2016

Real-time 3D reconstruction for facilitating the development of Game-based virtual laboratories

  • Authors: Zhang, Z.; Zhang, M.; Chang, Y.; Esche, S.K.; Chassapis, C.
    Journal:
    Computers in Education
    Year:
    2016

Usability evaluation of a virtual educational laboratory platform

  • Authors: Chang, Y.; Aziz, E.-S.S.; Zhang, Z.; Zhang, M.; Esche, S.K.
    Journal: Computers in Education
    Year: 2016

Prof. Kalfalla Awedat | Deep Learning | Best Researcher Award

Prof. Kalfalla Awedat | Deep Learning | Best Researcher Award

Professor at SUNY Morrisville College, United States

πŸ‘¨β€πŸŽ“ Profiles

Google Scholar

Publications

Advanced fault detection in photovoltaic panels using enhanced U-Net architectures

  • Authors: Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit
    Journal: Machine Learning with Applications
    Year: 2025

COVID-CLNet: COVID-19 Detection With Compressive Deep Learning Approach

  • Authors: Khalfalla Awedat, Almabrok Essa
    Journal: International Journal of Computer Vision and Image Processing (IJCVIP)
    Year: 2022

Novel Robust Augmentation Approach Based on Sensing Features for Data Classification

  • Authors: Masoud M Alajmi, Khalfalla A Awedat
    Journal: IEEE Access
    Year: 2021

COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches

  • Authors: Khalfalla Awedat, Almabrok Essa
    Journal: arXiv preprint arXiv:2012.02234
    Year: 2020

Efficient face recognition using regularized adaptive non-local sparse coding

  • Authors: Masoud Alajmi, Khalfalla Awedat, Almabrok Essa, Fawaz Alassery, Osama S Faragallah
    Journal: IEEE Access
    Year: 2019

Prof Dr. Oliver Steinbock | Image Processing and Enhancement | Best Researcher Award

Publications

Understanding the Salt Crystallizations from Droplets under Various Gravity and Pressure Environments: Display of the Marangoni Effect?

  • Authors: Hadidi, R.; Pinckney, V.D.; Shaw, S.A.; Steinbock, O.; Dangi, B.B.
    Journal: Journal of Physical Chemistry B
    Year: 2025

High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: composition and concentration from dried droplet photos

  • Authors: Batista, B.C.; Amrutha, S.V.; Yan, J.; Dangi, B.B.; Steinbock, O.
    Journal: Digital Discovery
    Year: 2025

Wavebreakers in excitable systems and possible applications for corrosion mitigation

  • Authors: Batista, B.C.; Romanovskaia, E.V.; Romanovski, V.I.; Kiss, I.Z.; Steinbock, O.
    Journal: Chaos
    Year: 2025

Morphogenic Modeling of Corrosion Reveals Complex Effects of Intermetallic Particles

  • Authors: Batista, B.C.; Romanovskaia, E.V.; Romanovski, V.I.; Scully, J.R.; Steinbock, O.
    Journal: Advanced Science
    Year: 2024

Chemical composition from photos: Dried solution drops reveal a morphogenetic tree

  • Authors: Batista, B.C.; Tekle, S.D.; Yan, J.; Dangi, B.B.; Steinbock, O.
    Journal: Proceedings of the National Academy of Sciences of the United States of America (PNAS)
    Year: 2024

Dr. Aiai Wang | Deep Learning | Best Researcher Award

Dr. Aiai Wang | Deep Learning | Best Researcher Award

Doctorate at University of Science and Technology Beijing, China

πŸ‘¨β€πŸŽ“ Profiles

Scopus

Publications

Quantitative Analysis of Pore Characteristics of Nanocellulose Reinforced Cementitious Tailings Fills Using 3D Reconstruction of CT Images

  • Authors: Wang, Aiai; Cao, Shuai; Yilmaz, Erol
    Journal: Journal of Materials Research and Technology
    Year: 2023