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

👨‍🎓 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, Saïd 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, Jürgen 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, Saïd Mahmoudi, Sébastien 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

👨‍🎓 Profiles

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🎓 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 laboratories—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.

🔬 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.

📚 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.

💻 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.

🧑‍🏫 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 capacities—course designer, club advisor, curriculum developer, and research mentor—demonstrating his commitment to academic excellence and student engagement.

🏆 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.

🚀 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

👨‍🎓 Profiles

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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

👨‍🎓 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

Assist Prof Dr. Dipesh | Mathematical Modeling | Young Scientist Award

Publications

On the modeling the impact of delay on stock pricing fluctuations using delay differential equations

  • Authors: Yaya Wang, Dipesh, Pankaj Kumar, Haci Mehmet Baskonus, Wei Gao
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2025

Modelling the Role of Delay in Blood Flow Dynamics in Human Body using Delay Differential Equations

  • Authors: Dipesh, Pankaj Kumar
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2025

Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator

  • Authors: Dipesh, Qiliang Chen, Pankaj Kumar, Haci Mehmet Baskonus
    Journal: AIMS Mathematics
    Year: 2024

Stability Analysis of GDP-National Debt Dynamics using Delay differential Equation

  • Authors: Qiliang Chen, DIPESH, PANKAJ KUMAR, HACI MEHMET BASKONUS
    Journal: Fractals
    Year: 2024

A novel approaches to 6th-order delay differential equations in toxic plant interactions and soil impact: beyond newton-raphson

  • Authors: Dipesh, Pankaj Kumar
    Journal: Physica Scripta
    Year: 2024

Prof. Haigen Hu | Deep Learning | Best Researcher Award

Prof. Haigen Hu | Deep Learning | Best Researcher Award

Professor at Zhejiang University of Technology, China

👨‍🎓 Profiles

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Publications

Multipath and noise resilient direction of arrival method for low-cost mechanical arm calibration

  • Authors: Hanmo Chen, Qianwei Zhou, Haigen Hu, Baoqing Li
    Journal: Computers and Electrical Engineering
    Year: 2025

Pruning Networks only Using Few-shot Pre-training Based on Gradient Similarity Frequency

  • Authors: Haigen Hu, Huihuang Zhang, Qianwei Zhou, Tieming Chen
    Journal: IEEE Transactions on Artificial Intelligence
    Year: 2025

An anchor-free instance segmentation method for cells based on mask contour

  • Authors: Qi Chen, Huihuang Zhang, Qianwei Zhou, Qiu Guan, Haigen Hu
    Journal: Applied Intelligence
    Year: 2025

RMFDNet: Redundant and Missing Feature Decoupling Network for salient object detection

  • Authors: Qianwei Zhou, Jintao Wang, Jiaqi Li, Haigen Hu, Keli Hu
    Journal: Engineering Applications of Artificial Intelligence
    Year: 2025

A comprehensive survey on contrastive learning

  • Authors: Haigen Hu, Xiaoyuan Wang, Yan Zhang, Qi Chen, Qiu Guan
    Journal: Neurocomputing
    Year: 2024

Ms. Beenish Khalid | Deep Learning | Best Researcher Award

Ms. Beenish Khalid | Deep Learning | Best Researcher Award

National University of Sciences and Technology , Islamabad, Sweden

👨‍🎓 Profiles

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Publications

A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements

  • Author: Beenish Khalid, Ali Hassan, Muhammad Yasin, Muhammad Salman, Muhammad Fasih Uddin Butt, Wadood Abdul, Imran Khan Niazi
    Journal: Biomedical Signal Processing and Control
    Year: 2025

EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features

  • Author: Beenish Khalid, Ali Hassan, Ehsan Ullah Munir, Imran Khan Niazi
    Journal: 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)
    Year: 2023

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding

  • Author: Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi Alnowamii
    Journal: IEEE Access
    Year: 2020