Aditi Singh |Robotics| Best Researcher Award

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Dr. Aditi Singh |Robotics| Best Researcher Award

Cleveland State University,United States

Aditi Singh is a student at Cleveland State University in the United States. She is currently pursuing her academic goals with a focus on [your field of study or interest, if known]. Aditi is passionate about [mention any specific interests or areas of expertise, if applicable] and is committed to contributing positively to her community and future career.

Summary:

Xiaohong Zheng is an accomplished researcher with a strong track record in materials science, particularly in the development of advanced gas sensors. His work on novel materials and their applications for detecting harmful gases like NO2 demonstrates significant scientific and practical value. He is recognized as an excellent teacher and mentor and has successfully led funded research projects. His ability to innovate, collaborate, and secure funding highlights his leadership in the field.

 

Professional Profiles:

Ā Scopus

šŸŽ“ Education :

Dr. Aditi Singh has an extensive academic background in computer science:,Ph.D. in Computer Science (2023) from Kent State University, focusing on “A Synchronized Colored Petri Net Modeling for Automated Identification and Learning of Conversational Gestures.”,M.S. in Computer Science (2017) from Kent State University, with research on automated gesture generation.,Bachelor of Engineering in Computer Science (2013) from Sathyabama University, India, graduating summa cum laude with a Gold Medal as the university top rank holder.

 

šŸ¢Ā Experience:

Dr. Singh currently serves as an Assistant College Lecturer at Cleveland State University, where she teaches graduate and undergraduate courses such as algorithms, database systems, and programming languages. Her prior roles include:,Graduate Assistant at Kent State University, teaching artificial intelligence and programming.,Intern at MathWorks Inc., contributing to a Model-Based System Engineering product.,Programmer Analyst at Cognizant Technology Solutions, specializing in data transformation and warehousing.

šŸ› ļøSkills:

Dr. Singh possesses a diverse skill set, including:,Computer Aided Design In Mechanical Engineering: Expertise in modeling, gesture recognition, and large language models.,Programming: Proficient in multiple languages and frameworks for developing hybrid and online education tools.,Data Analytics and Visualization: Specializes in ETL processes and metadata management.,Leadership: Founding Chair of ACM-W Student Chapter and a former president of the Computer Science Graduate Student Association at Kent State University.

 

Research Focus :

Dr. Singh’s research delves into:,Computer Aided Design In Mechanical Engineering and Human-Computer Interaction: Gesture recognition and conversational modeling for social robots.,Educational AI: Developing innovative methods to teach AI concepts to K-12 students.,Applied AI and Big Data: Surveys on emotional AI frameworks, large language models, and big data challenges.

 

šŸ”¬Awards:

Dr. Singh’s accomplishments include:2024 AnitaB.org Advancing Inclusion Scholarship Award.,2023 Best Presenter Award at IEEE CCWC.,Multiple travel and volunteer awards for contributions to academic communities.,Finalist for the Best Paper Award in 2018.

 

Conclusion:

Given his solid research output, teaching excellence, and leadership in securing funding, Xiaohong Zheng is certainly a strong candidate for the Best Researcher Award. His contributions to the development of advanced sensing technologies, along with his academic and research leadership, position him as a promising figure in the field of materials science and sensor technology.

 

Ā Publications:

  • “A Survey of AI Text-to-Image and AI Text-to-Video Generators”
    • Citations: 20
    • Year: 2023

 

  • “Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model”
    • Citations: 15
    • Year: 2024

 

  • “A Comparison Study on AI language detector”
    • Citations: 7
    • Year: 2023

 

  • “Exploring Language Models: A Comprehensive Survey and Analysis”
    • Citations: 5
    • Year: 2023

 

  • “Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Computer Aided Design In Mechanical Engineering”
    • Citations: 5
    • Year: 2023

 

  • “Towards Synchronous Model of Non-emotional Conversational Gesture Generation in Humanoids”
    • Citations: 5
    • Year: 2021

 

  • “Declarative modeling and implementation of robotic head-based gestures for human-robot interaction”
    • Citations: 4
    • Year: 2019

 

  • “Synchronous Colored Petri Net Based Modeling and Video Analysis of Conversational Head-Gestures for Training Social Robots”
    • Citations: 3
    • Year: 2021

 

  • “Automated Real-Time Recognition of Non-emotional Conversational Head-Gestures for Social Robots”
    • Citations: 2
    • Year: 2022

 

  • “Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model”
    • Citations: 1
    • Year: 2024

 

  • “Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation”
    • Citations: 1
    • Year: 2024

 

  • “Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Analysis for Identifying Iconic Gestures in Human-Robot Interactions”
    • Citations: 1
    • Year: 2024

 

  • “Design of a Novice-Friendly Drone Control System”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Model for Automated Identification and Learning of Conversational Gestures in Humanā€“Robot Interaction”
    • Citations: 1
    • Year: 2023

 

  • “Synchronized Colored Petri Net Based Multimodal Modeling and Real-Time Recognition of Conversational Spatial Deictic Gestures”
    • Citations: 1
    • Year: 2023

 

 

Guanglong Du |robotics | Best Researcher Award

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Prof .Guanglong Du |robotics | Best Researcher Award

Prof . Guanglong Du ,South China University of Technology, China

Prof. Guanglong Duā€™s credentials, spanning from his educational background to his extensive experience in human-robot interaction, make him a strong candidate for the Best Researcher Award. His leadership in national and provincial research projects, his role in bridging academia with industry, and his focus on solving real-world problems position him as an influential figure in his field. However, expanding his international profile and increasing his global research visibility through collaboration and publication in top international venues could further enhance his candidacy.

Summary:

Dr. Qing Dai is an outstanding researcher with a remarkable track record of innovation in chemical biology and nucleoside chemistry. His pioneering methods for RNA and DNA sequencing, particularly in the context of detecting modifications such as 5-hmC and pseudouridine, have significant potential for advancing genomics and cancer research. His ability to translate complex research into applicable technologies, supported by numerous patents and prestigious awards, demonstrates his capacity for high-level scientific contributions. However, a more visible engagement in mentorship, societal impact, and broader community outreach could enhance his profile for the Best Researcher Award.

Professional Profiles:

šŸŽ“ Education :

PhD in Information and Computer Science,2013-2008, South China University of Technology, China,Bachelor of Information and Computer Science,2008-2004, Sun Yat-sen University, Guangzhou, China

šŸ¢Ā Experience:

Professor, School of Computer Science and Engineering,September 2020 ā€“ Present, South China University of Technology,Leading research efforts in robotics, human-machine interaction, and artificial intelligence. Chairing multiple national and provincial research projects.,Associate Professor, School of Computer Science and Engineering,September 2016 ā€“ September 2020, South China University of Technology,Conducted research on robotics and human-robot communication. Led and participated in numerous research projects funded by both national and provincial bodies,Associate Researcher, School of Computer Science and Engineering,August 2015 ā€“ September 2016, South China University of Technology,Involved in projects related to natural human-robot interaction and industrial applications of human-machine collaboration.

šŸ› ļøSkills:

Computer Aided Design In Mechanical Engineering & Machine Learning,Expertise in applying AI technologies to human-machine interaction, robot learning, and adaptive systems,Human-Robot Communication,Skilled in designing natural interaction methods between robots and humans, with experience in developing force feedback technologies and immersive virtual environments,Project Leadership & Collaboration,Experienced in leading large-scale, multi-year research projects funded by national bodies and private enterprises. Excellent collaboration,skills, particularly in cross-disciplinary research teams.

šŸ”¬Awards:

Chairperson of several major research projects under the National Natural Science Foundation of China (NSFC).,Leader of provincial and ministerial-level projects, including the Guangdong Provincial Key Area R&D Program.

Conclusion:

Based on his strong research leadership, practical contributions to human-robot interaction, and proven ability to attract significant research funding, Prof. Guanglong Du is highly deserving of recognition as a top researcher. With a few targeted efforts toward international collaboration and interdisciplinary innovation, he has the potential to secure this award and continue his ascent as a leader in his field.

Publications :

  • A Fully Autonomous Robotic Ultrasound System for Thyroid Scanning
    Authors: Su, K., Liu, J., Ren, X., Li, D., Liu, P.X.
    Source: Nature Communications
    Year: 2024
    Citations: 2

 

  • Online Kinematic Calibration of Robot Manipulator Based on Neural Network
    Authors: Kong, Y., Yang, L., Chen, C., Guan, Q., Du, G.
    Source: Measurement: Journal of the International Measurement Confederation
    Year: 2024
    Citations: 0

 

  • Discrete Cross-Modal Hashing with Relaxation and Label Semantic Guidance
    Authors: Teng, S., Huang, W., Wu, N., Zhang, W., Teng, L.
    Source: World Wide Web
    Year: 2024
    Citations: 0

 

  • A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
    Authors: Du, G., Long, S., Li, C., Wang, Z., Liu, P.X.
    Source: IEEE Transactions on Cybernetics
    Year: 2023
    Citations: 11

 

  • An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram
    Authors: Du, G., Zhou, W., Li, C., Li, D., Liu, P.X.
    Source: IEEE Transactions on Affective Computing
    Year: 2023
    Citations: 14

 

  • A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture
    Authors: Du, G., Li, Y., Su, K., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 2
  • A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Authors: Du, G., Deng, Y., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 6
  • A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
    Authors: Du, G., Zhang, L., Su, K., Teng, S., Liu, P.X.
    Source: IEEE Transactions on Intelligent Transportation Systems
    Year: 2022
    Citations: 29

 

  • An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation
    Authors: Du, G., Deng, Y., Ng, W.W.Y., Li, D.
    Source: IEEE Transactions on Human-Machine Systems
    Year: 2022
    Citations: 5

 

  • An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm
    Authors: Du, G., Yao, G., Li, C., Liu, P.
    Source: IEEE/ASME Transactions on Mechatronics
    Year: 2022
    Citations: 3