Mr. Gang Wei | Image Recognition | Best Researcher Award

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Mr. Gang Wei | Image Recognition | Best Researcher Award

Mr. Gang Wei, Tongji University, China

Mr. Gang Wei is an accomplished researcher specializing in Computer Graphics, Geographic Information Systems (GIS), and Building Information Modeling (BIM). He holds a Ph.D. in Computer Application Technology from Tongji University, Shanghai, focusing on digital city visualization. With over two decades of experience at the CAD Research Center, Tongji University, he has significantly contributed to advancements in computer-aided design (CAD), artificial intelligence, and image recognition. His research explores 3D modeling, graphical interaction, and level-of-detail techniques for smart city applications. Mr. Wei’s expertise in integrating AI with GIS and BIM has led to innovative solutions for urban planning and digital infrastructure. His groundbreaking work continues to shape the future of computational design and intelligent visualization technologies.

🌍 Professional Profile 

Scopus

🏆 Suitability for Best Researcher Award

Mr. Gang Wei’s extensive contributions to computer graphics, GIS, and AI-driven visualization make him an excellent candidate for the Best Researcher Award. His pioneering work in digital city modeling, 3D visualization, and feature-based modeling has advanced computational methods for urban development. With over 20 years of research experience, he has played a crucial role in integrating AI-driven image recognition into GIS and CAD applications. His research enhances urban planning efficiency and digital infrastructure visualization, making him a leading figure in smart city development. Recognized for his expertise in building information modeling and computational graphics, Mr. Wei’s work aligns with cutting-edge technological advancements, making him a deserving recipient of this prestigious award.

🎓 Education 

Mr. Gang Wei completed his Ph.D. in Computer Application Technology at Tongji University, Shanghai (2008). His doctoral research focused on key technologies for digital city visualization, integrating GIS and 3D modeling to enhance urban digitalization. Prior to this, he earned a Master’s degree (2000) in Computer Application Technology from the same university, specializing in 3D solid modeling and graphical user interface design. His academic training has equipped him with expertise in computer-aided design (CAD), computer graphics, and feature-based modeling. His educational background provided a strong foundation for his contributions to AI-driven urban simulation, visualization technologies, and digital infrastructure modeling, making him a leader in computational design and geographic information systems.

💼 Experience 

Mr. Gang Wei has been an Associate Research Fellow at the CAD Research Center, Tongji University, Shanghai, since 2000. His career focuses on computer graphics, AI-driven GIS applications, and CAD-based modeling. He has led research on digital city visualization, AI-driven image recognition, and building information modeling (BIM), significantly impacting smart city development. His expertise in 3D visualization, level-of-detail modeling, and graphical interactions has improved digital infrastructure design and urban planning. Over two decades, he has collaborated on projects integrating AI with geographic data systems, enhancing real-time urban simulations. His work bridges AI, spatial data analytics, and computational design, contributing to technological innovations in urban digitalization and 3D city modeling.

🔬 Research Focus 

Mr. Gang Wei’s research focuses on AI-driven computer graphics, image recognition, and GIS-based digital city modeling. His work integrates machine learning with 3D visualization, improving real-time urban simulations. He specializes in feature-based modeling, level-of-detail (LoD) techniques, and CAD applications, enhancing smart city development. His expertise in AI-driven BIM has revolutionized building data management and infrastructure planning. He explores graphical interaction methods and spatial data integration, improving geospatial analytics. His research also includes automated 3D city reconstruction and real-time visualization algorithms, optimizing digital urban planning. Through AI-enhanced computational design and GIS modeling, Mr. Wei’s innovations contribute to smarter, more efficient urban digitalization and intelligent geospatial data analysis.

📊 Publication Top Note

AttenPoint: Exploring Point Cloud Segmentation Through Attention-Based Modules

 

Mr. Saket Kumar Singh | Computer Vision | Best Researcher Award

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Mr. Saket Kumar Singh | Computer Vision | Best Researcher Award

Mr. Saket Kumar Singh, Birla Institute of Technology, Mesra, Ranchi, India

Saket Kumar Singh, born on October 21, 1993, is a Project Research Scientist currently working on an ICMR-funded project titled “Explainable AI for Hypoxic Ischemic Encephalopathy Detection using ultrasound images in Jharkhand Neonates: A Deep Learning Approach.” He is pursuing a Ph.D. in Computer Science and Engineering at BIT MESRA, Ranchi, focusing on implementing deep learning methods for the early diagnosis of chronic diseases. Singh has over seven years of experience as an Assistant Professor, teaching AI, Machine Learning, and Data Science at various esteemed institutions in India, including the National Institute of Advanced Manufacturing Technology, AKG Engineering College, IMS Engineering College, Kanpur Institute of Technology, and Subhash Institute of Software Technology. He holds an MTech in Computer Science from BIT MESRA, where he graduated with distinction, and a B.E. in Computer Science & Engineering from NRI Institute of Information Science & Tech., Bhopal. Saket is recognized for his technical, experimental, and interpersonal skills, making significant contributions to curriculum development, student mentoring, and organizing hackathons. He has a strong passion for technology and research, with numerous publications and project presentations to his name. Additionally, Saket has received several accolades in cultural and sports activities, showcasing his diverse talents and dedication to excellence.

🌐 Professional Profile:

 

ORCID

 

Academic Background 🎓📖

  • Ph.D. (Pursuing) in Computer Science and Engineering, BIT MESRA, Ranchi (2021 – Present)
    • Thesis Title: Implementation of Deep Learning Methods for early diagnosis of various chronic diseases
  • MTech in Computer Science, BIT MESRA, Ranchi (2013-2015)
    • Percentage: 80.8% (First Class with Distinction)
  • B.E. in Computer Science & Engineering, NRI Institute of Information Science & Technology, Bhopal (2009-2013)
    • Percentage: 67.25% (First Class)
  • Schooling at D.A.V. Public School, Bariatu, Ranchi
    • Class XII (2009): 71% (First Class)
    • Class X (2007): 84% (First Class)

Employment History 📅🏫

  • Assistant Professor, National Institute of Advanced Manufacturing Technology, Hatia, Ranchi (April 11, 2022 – April 10, 2023)
  • Assistant Professor, AKG Engineering College, Ghaziabad, Delhi NCR (July 9, 2018 – Dec 10, 2021)
  • Assistant Professor, IMS Engineering College, Ghaziabad, U.P. (July 19, 2017 – June 30, 2018)
  • Assistant Professor, Kanpur Institute of Technology, Kanpur, U.P. (January 18, 2016 – July 08, 2017)
  • Assistant Professor, Subhash Institute of Software Technology, Kanpur, U.P. (June 15, 2015 – January 17, 2016)

Roles & Responsibilities 📋

  • Collegewide Administrative Duties:
    • Syllabus Development for UG Course “Computer Engineering” and PG Course “Data Science”
    • Central ERP Coordinator at AKGEC
    • Initiated and Managed YouTube News Channel for AKGEC
    • Conducted Inter-College Hackathon and Coding Contests
  • Departmental & General Duties:
    • Delivering lectures and supervising labs
    • Departmental Student Attendance Management
    • Recruitment and mentoring students for competitions and projects
  • Academic Activities:
    • Delivered courses on AI, ML, and DL
    • Provided training under DST sponsored projects
    • Conducted hackathons and coding contests
    • Presented papers at national conferences

Courses Taught 📘👨‍🏫

  • BTech Classes: Operating Systems, Theory of Automata and Formal Languages, Machine Learning, Computer Networks, Artificial Intelligence, Database Management System

Publication Top Notes:

Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight

DNA sequence based data classification technique

 

 

 

 

Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

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Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

Mr. Hongwei Wang, North Minzu University, China

🎓 Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, excelling in courses such as Software Engineering and Operating Systems. Currently pursuing a Master’s degree in Computer Technology at North Minzu University, he focuses on Pattern Recognition and Semantic Networks. Recognized with scholarships and awards for academic excellence, including the “Learning Star” award, Hongwei’s analytical prowess shines through participation in competitions like the National Postgraduate Mathematical Modeling Competition. Proficient in both academic and practical domains, he holds a College English Test 4 certification and adeptly utilizes office-related software. 🏅🏆

🌐 Professional Profile:

Scopus

🎓 Education:

Mr. Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, where he excelled in major courses such as Software Engineering, Operating Systems, and Internet Programming. Currently, he is pursuing a Master’s degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

🏅 Honors and Awards:

Mr. Hongwei Wang’s academic achievements have been recognized with scholarships, including a first-class scholarship from the postgraduate school. He has also received accolades such as the “Learning Star” award during his undergraduate studies, highlighting his consistent commitment to academic excellence.

🏆 Competition:

Participation in prestigious competitions like the National Postgraduate Mathematical Modeling Competitions demonstrates Hongwei Wang’s analytical and problem-solving skills, further complementing his academic endeavors.

💻 Skills:

Proficient in both academic and practical domains, Hongwei Wang holds a College English Test 4 certification and is adept at using office-related software. His multifaceted skill set empowers him to excel in diverse settings.

Publications Top Notes :

CCGL-YOLOV5: A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model

  • Published in Computers in Biology and Medicine in 2023
  • 3 Citations