Dr. Yingbin Wang | Artificial Intelligence | Best Researcher Award

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Dr. Yingbin Wang | Artificial Intelligence | Best Researcher Award

Dr. Yingbin Wang, Xi’an Institute of Space Radio Technolog, China

Dr. Yingbin Wang is a leading researcher in space microwave communication, detection, and AI-driven signal processing. He earned his Ph.D. in Electronic Science and Technology from Xidian University in 2022 and currently serves as a Senior Engineer at the National Key Laboratory of Science and Technology on Space Microwave at the Xi’an Institute of Space Radio Technology. His research spans Integrated Sensing and Communication (ISAC), deep learning, and anti-jamming satellite systems. With over ten high-impact publications and contributions to national-level R&D projects, Dr. Wang is shaping the future of space-based communication and intelligent sensing. 🚀📡

🌍 Professional Profile:

Google Scholar

🏆 Suitability for the Best Researcher Award

Dr. Yingbin Wang is a highly qualified candidate for the Best Researcher Award, given his significant contributions to space microwave communication and AI-powered signal processing. His expertise in satellite-terrestrial integration, space-based radar target detection, and anti-jamming satellite systems plays a crucial role in advancing global space technology. With publications in top-tier IEEE journals, participation in national R&D projects, and contributions to cutting-edge ISAC applications, Dr. Wang is at the forefront of next-generation communication research. His work in AI-driven remote sensing is revolutionizing the field, making him a distinguished and deserving nominee. 🏆🚀

🎓 Education

Dr. Yingbin Wang pursued his entire higher education at Xidian University, China, a prestigious institution in electronic engineering and space communication. He obtained his Ph.D. in Electronic Science and Technology in June 2022, focusing on advanced space microwave systems and AI-enhanced signal processing. His doctoral research contributed to improving satellite communication resilience, radar detection, and deep learning applications in space technologies. Throughout his academic journey, he combined hardware engineering with AI-driven software models, enabling breakthroughs in integrated satellite-terrestrial communication. His strong foundation in electromagnetic waves, remote sensing, and computational intelligence defines his research excellence. 🎓📡🔬

💼 Experience 

Dr. Yingbin Wang is a Senior Engineer at the National Key Laboratory of Science and Technology on Space Microwave, Xi’an Institute of Space Radio Technology. His role involves leading research in space microwave communication, detection, and AI-driven signal optimization. He has contributed to major national R&D projects, including space-based radar target detection, anti-jamming satellite communication, and integrated sensing for satellite-terrestrial networks. His work on AI-based signal processing and deep learning models has significantly enhanced real-time space communication efficiency. His expertise in high-frequency electromagnetic applications and AI-powered satellite technology is instrumental in shaping the future of space communications. 🚀📶

🏅 Awards & Honors 

Dr. Yingbin Wang has received multiple recognitions for his contributions to space communication and AI-driven signal processing. His research in anti-jamming satellite networks has been awarded national-level research funding. He has received Best Paper Awards at leading IEEE conferences on signal processing and remote sensing. Additionally, his contributions to integrated satellite-terrestrial communication have been recognized by the National Science and Technology Innovation Program. As a reviewer for top IEEE journals, he actively contributes to the scientific community. His pioneering work in AI-enhanced space sensing continues to push the boundaries of satellite communication technologies. 🏆📡

🔬 Research Focus 

Dr. Yingbin Wang’s research spans Artificial Intelligence, communication, deep learning, and signal processing, with a strong emphasis on space microwave communication and detection. His work explores AI-driven radar target detection, anti-jamming satellite communication, and integrated sensing and communication (ISAC) systems. He develops machine learning models for real-time adaptive signal processing, enhancing satellite-terrestrial connectivity. His studies in neural network-driven space communication systems optimize data transmission efficiency in complex space environments. His research is critical for next-generation deep-space exploration, smart communication networks, and high-performance microwave technology, ensuring global connectivity and security in aerospace applications. 🚀📡🛰️

📖 Publication Top Notes

  1. SPB-Net: A Deep Network for SAR Imaging and Despeckling with Downsampled Data
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Publication Year: 2020
    • Citations: 27
  2. Lq-SPB-Net: A Real-Time Deep Network for SAR Imaging and Despeckling
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Publication Year: 2021
    • Citations: 8
  1. Multi-Scale and Single-Scale Fully Convolutional Networks for Sound Event Detection
    • Journal: Neurocomputing
    • Publication Year: 2021
    • Citations: 18
  2. MSFF-Net: Multi-Scale Feature Fusing Networks with Dilated Mixed Convolution and Cascaded Parallel Framework for Sound Event Detection
    • Journal: Digital Signal Processing
    • Publication Year: 2022
    • Citations: 12
  1. A Convex Optimization Algorithm for Compressed Sensing in a Complex Domain: The Complex-Valued Split Bregman Method
    • Journal: Sensors
    • Publication Year: 2019
    • Citations: 13

 

Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research

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Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research Award

Dr. Mani shekhar Gupta | Adani University, Ahmedabad | India

📚 Dr. Mani Shekhar Gupta is an Assistant Professor at Adani University, Ahmedabad, with a Ph.D. in Electronics and Communication Engineering from NIT Hamirpur. 🚀 His research spans cognitive radio networks, vehicular networks, resource allocation, AI, and next-gen wireless technologies. 📡 With over 11 years of academic and research experience, he has contributed significantly through projects at IIT Delhi and NIT Hamirpur. 👨‍🏫 A passionate educator and innovator, Dr. Gupta excels in machine learning, green networks, and intelligent transportation systems. 💡 His dynamic approach blends technical expertise with a love for teaching and discovery. 🌟

Professional Profile:

Google Scholar

Suitability for the Excellence in Research Award

Dr. Mani Shekhar Gupta is highly suitable for the Excellence in Research Award due to his extensive academic background, impactful research contributions, and innovative approaches in the fields of cognitive radio networks, vehicular networks, resource allocation, artificial intelligence, and next-generation wireless technologies. His career, spanning over 11 years, reflects a deep commitment to advancing technological frontiers and fostering academic excellence.

Education 📖 & Experience 👨‍💼 

  • 📜 Ph.D. in Electronics & Communication Engineering, NIT Hamirpur (2017–2021) – CGPI 9.5
  • 🎯 M.Tech. in Electronics & Communication Engineering, NIT Hamirpur (2009–2011) – CGPI 8.49
  • 🏅 B.Tech. in Electronics & Communication, UPTU, Lucknow (2005–2009) – 74.42%
  • 👨‍🏫 Assistant Professor, Adani University (2022–Present)
  • 🔬 Postdoctoral Researcher, IIT Delhi (2021–2022)
  • 🎓 Ph.D. Research Scholar, NIT Hamirpur (2017–2021)
  • 👨‍💼 Assistant Professor, PSIT Kanpur (2011–2017)

Professional Development 

🌐 Dr. Gupta actively engages in continuous professional growth through memberships in global organizations like IEEE 📡, EAI 🇪🇺, IACSIT 🇸🇬, IAENG 🇭🇰, and IAAM 🌍. His participation spans technical communities focusing on e-Government, IoT 🌐, Smart Cities 🏙️, and Autonomous Driving 🚗. He’s also a member of humanitarian groups like IEEE SIGHT 🤝. Through conferences, workshops, and collaborative projects, Dr. Gupta refines his expertise in wireless networks, machine learning 🤖, and green technologies 🌱, ensuring he stays at the forefront of innovation and academic excellence. 🚀

Research Focus 

🔍 Dr. Gupta’s research focuses on cognitive radio networks 📡, vehicular networks 🚗, and resource allocation strategies for next-generation wireless systems 📶. His work integrates AI 🤖 and machine learning to enhance spectrum management, optimize network efficiency, and support intelligent transportation systems 🚦. He explores green network technologies 🌱, aiming to reduce environmental impact while improving connectivity. His contributions to 5G and beyond involve proactive spectrum sharing, game theory applications 🎯, and cooperative uplink-downlink strategies, making his research pivotal for smart cities 🏙️ and sustainable communication infrastructures. 🌍

Awards & Honors 🏆 

(No specific awards or honors mentioned in the provided details. If you have any, please share for accurate updates.)

  • 🏅 IEEE Membership & Active Roles in Multiple Societies
  • 🌟 Recognized Contributor in DST-SERB & BASF Research Projects
  • 📜 International Memberships: IACSIT 🇸🇬, IAENG 🇭🇰, IAAM 🌍

Publication Top Notes:

📡 Progression on Spectrum Sensing for Cognitive Radio Networks: A Survey, Classification, Challenges, and Future Research Issues  📑 Cited by 164
🌿 Energy Efficient Transmission Trends Towards Future Green Cognitive Radio Networks (5G): Progress, Taxonomy, and Open Challenges 📑 Cited by 114
🚗 Application Aware Networks’ Resource Selection Decision Making Technique Using Group Mobility in Vehicular Cognitive Radio Networks  📑 Cited by 32
📶 A Survey on NOMA Techniques for 5G Scenario  📑 Cited by 24
🔀 Seamless Vertical Handover for Efficient Mobility Management in Cooperative Heterogeneous Networks 📑 Cited by 20

 

 

 

Mr. Congcong Ren | AI Award | Best Researcher Award

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Mr. Congcong Ren | AI Award | Best Researcher Award

Mr. Congcong Ren, Henan University of Science and Technology, China

Mr. Congcong Ren is a dedicated Master’s student in Vehicle and Traffic Engineering at Henan University of Science and Technology, with a Bachelor’s degree in Mechanical and Electrical Engineering from Henan Agricultural University. His expertise spans deep learning, algorithm development, and software testing, with practical experience in developing intelligent vehicles and defect detection systems. Mr. Ren has contributed to projects like an intelligent small car and wire rope defect detection, and he has gained hands-on experience during internships at Iflytek and Zeekr. His technical proficiency includes Python, PyTorch, and HIL test software, complemented by multiple school-level awards for innovation and entrepreneurship.

Professional Profile:

Orcid

Suitability for the Award

Mr. Congcong Ren is a highly suitable candidate for the Best Researcher Award based on the following points:

  1. Innovative Research:
    • His work on nighttime pedestrian detection and trajectory tracking addresses critical safety concerns in autonomous and intelligent vehicle systems. The use of fusion techniques combining visual and radar data showcases innovation in enhancing vehicle safety.
  2. Practical Experience:
    • His participation in significant projects like the intelligent small car and wire rope defect detection demonstrates his ability to apply theoretical knowledge to real-world challenges. These projects not only reflect technical skill but also his capability to collaborate effectively with industry partners.
  3. Academic and Professional Growth:
    • Mr. Ren’s ongoing master’s studies in artificial intelligence and traffic engineering, combined with his hands-on experience in internships at leading companies like Iflytek and Zeekr, underline his rapid professional development and adaptability in a fast-evolving field.
  4. Recognition and Skills:
    • His recognition through scholarships, awards, and publication of SCI papers highlights his academic excellence and contribution to the field. His proficiency in deep learning frameworks, coupled with practical software testing skills, positions him as a strong contender for research excellence.

Summary of Qualifications

  1. Educational Background:

    • Bachelor’s Degree in Mechanical and Electrical Engineering – Henan Agricultural University (2018-2022).
      • Major courses included Mechanical Design, Automobile Design, New Energy, and Traffic Engineering.
    • Master’s Degree (ongoing) in Vehicle and Traffic Engineering – Henan University of Science and Technology (2022-2025).
      • Major courses include Principles and Methods of Artificial Intelligence, Traffic Simulation Technology, System Control Theory, and Intelligent Network Technology.

  2. Project Experience:

    • Challenge Cup Project (2022-2023): Developed an intelligent small car with adjustable wheelbase and chassis height, integrating camera and millimeter-wave radar data for obstacle detection and avoidance.
    • Wire Rope Defect Detection Project (2023): Collaborated with Luoyang Wilrop Testing Technology Co., LTD. to improve YOLOv5s algorithm for defect detection in wire ropes using industrial camera images, meeting the project’s expected requirements.

  3. Internship Experience:

    • Iflytek (2023-2024): Tested large model voice assistant software, proficient in Android Studio and Adobe Audition, and used Python for batch pressure testing.
    • Zeekr (2024): Proficient in HIL test software (ECU-TEST, Canoe, INCA), familiar with software development processes and protocols (LIN/CAN), and involved in new energy vehicle controller testing.

  4. Technical Skills:

    • Proficient in Python, PyTorch, Matlab, Simulink, and various HIL test software.
    • Strong capabilities in deep learning, algorithm development, and software testing.
    • Recognized with school-level scholarships and awards, including the innovation and entrepreneurship competition fund.

Publication Top Notes:

1.  Study on Nighttime Pedestrian Trajectory-Tracking from the Perspective of Driving Blind Spots –  (2024).

2.  Nighttime Pedestrian Detection Based on a Fusion of Visual Information and Millimeter-Wave Radar –  (2023).

Both articles reflect his focus on advanced technologies in vehicle safety, particularly in challenging environments like nighttime driving.

Conclusion

Mr. Congcong Ren is an outstanding candidate for the Best Researcher Award, given his solid educational foundation, innovative research contributions in vehicle safety, and substantial practical experience in engineering and software testing. His ability to combine academic research with practical applications, particularly in the field of intelligent vehicle systems, makes him a deserving recipient of this award.

 

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

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Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Prof. Vedat Toğan | Application of AI in Construction Management | Excellence in Innovation

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Prof. Vedat Toğan : Application of AI in Construction Management

Prof. Vedat Toğan, Karadeniz Technical University, Turkey

🌟 Dr. Vedat Togan studied at Karadeniz Technical University (KTU) Civil Engineering Department between 1996-2000. In 2004, he completed his master’s thesis in the building science department of the same university, and received the title of “Master of Civil Engineering”, and in 2009, he completed his doctoral study and received the title of “Doctor” in Civil Engineering. During his doctorate, he took courses related to his doctoral studies at Ruhr University of Bochum, Germany between 2004-2005, and Delft University of Technology, Netherlands, with a TUBITAK scholarship between 2007-2008, respectively. 📚

🔬 After his doctorate; Assistant Professor at Karadeniz Technical University between 2011-2013. In January 2014, he was appointed as “Associate Professor” to the Department of Civil Engineering at KTU. He was appointed as a Professor at the same University in January 2019. Continuing his research at the Department of Civil Engineering at KTU, Dr. Togan has many articles, papers, and book chapters published in national and international conferences, journals, and books related to optimization, multi-objective optimization, optimization techniques, construction management, and artificial intelligence applications.🌐

🎓 Education : 

☀️ Prof. Vedat Toğan has an impressive academic journey that spans across various levels of education in the field of Civil Engineering. His educational odyssey commenced with an undergraduate program at Karadeniz Technical University, where he delved into the intricacies of Civil Engineering from 1997 to 2000. 🏗️ Subsequently, he pursued postgraduate studies at the same institution, further honing his expertise in construction engineering from 2001 to 2004. 📚 His scholarly pursuits reached their pinnacle with a doctorate at the Karadeniz Technical University’s Institute of Science in the realm of Civil Engineering, which he successfully completed from 2004 to 2009. 🏆 Prof. Vedat Toğan’s academic journey is a testament to his commitment to knowledge and excellence in the field of construction engineering. 🌐

Professional Profiles : 🌐

Scopus

Google Scholar

ORCID

Linkedin

🧠 Research Interests 🔬🌐 :

🌍 Prof. Vedat Toğan’s intellectual curiosity extends across a diverse spectrum of research interests, reflecting his multifaceted engagement with the realm of Civil Engineering and related fields. 🌐 His scholarly pursuits encompass the intricate domain of Structural Engineering, where he explores the principles governing the stability and design of structures. 🏗️ With a keen focus on Building Management, he delves into the efficient coordination and administration of construction projects, ensuring optimal functionality and sustainability. 🔬 Moreover, Prof. Toğan navigates the intersection of technology and construction through his exploration of Informatics in Construction Management, leveraging innovative solutions to enhance efficiency and precision in the industry.

🏢 His expertise in Construction Management extends beyond traditional boundaries, encompassing a holistic approach to project oversight and implementation. 🛠️ Lastly, his involvement in Engineering and Technology underscores a commitment to pushing the boundaries of innovation within the field. 🌱 Prof. Vedat Toğan’s expansive research interests underscore his dedication to advancing knowledge and driving progress in the dynamic landscape of Civil Engineering. 🚀

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 22 documents indexed in Scopus.
  • 📊 Citations: A total of 1,149 citations for his publications, reflecting the widespread impact and recognition of Prof. Vedat Toğan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1864 📖
    • h-index: 19 📊
    • i10-index: 29 🔍
  • Since 2018:
    • Citations: 1167 📖
    • h-index: 17 📊
    • i10-index: 24 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1.  Design of Planar Steel Frames using Teaching–Learning Based Optimization

Published in Engineering Structures, 2012; Cited by 320.

2.  An Improved Genetic Algorithm with Initial Population Strategy and Self-Adaptive Member Grouping 

Published in Computers & Structures, 2008; Cited by 308.

3.  Optimization of 3D Trusses with Adaptive Approach in Genetic Algorithms 

Published in Engineering Structures, 2006; Cited by 181.

4.  Simultaneous Size, Shape, and Topology Optimization of Truss Structures using Integrated Particle Swarm Optimizer

Published in Structural and Multidisciplinary Optimization, 2016; Cited by 89.

5.  Interactive Search Algorithm: A New Hybrid Metaheuristic Optimization Algorithm

Published in Engineering Applications of Artificial Intelligence, 2018; Cited by 82.

6.  Sizing and Layout Design of Truss Structures under Dynamic and Static Constraints with an Integrated Particle Swarm Optimization Algorithm

Published in Applied Soft Computing, 2017; Cited by 65.

7.  Time-Cost Trade-Off Optimization of Construction Projects using Teaching Learning Based Optimization

Published in KSCE Journal of Civil Engineering, 2019; Cited by 57.

8.  Stochastic Analysis of Offshore Steel Structures: An Analytical Appraisal

Published in Springer Science & Business Media, 2012; Cited by 50.

9.  An Integrated Reliability-Based Design Optimization of Offshore Towers 

Published in Reliability Engineering & System Safety, 2009; Cited by 49.

10.  Solution of Structural and Mathematical Optimization Problems using a New Hybrid Swarm Intelligence Optimization Algorithm

Published in Advances in Engineering Software, 2019; Cited by 42.