Prof. Haojian LU | Robotic Sensing | Best Researcher Award

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Prof. Haojian LU | Robotic Sensing | Best Researcher Award

Prof. Haojian LU, Zhejiang University, China

Haojian Lu is a professor in the College of Control Science and Engineering at Zhejiang University. He completed his B.S. in Mechatronical Engineering (first major) and Business Administration (second major) at the Beijing Institute of Technology in 2015. He earned his Ph.D. in Robotics from City University of Hong Kong in 2019. His research focuses on medical robotics, robotic sensing, micro/nano robotics, and soft robotics. He has published over 100 peer-reviewed papers in prominent journals and conferences, receiving multiple best paper awards and travel grants. He has served on the editorial boards of several journals and is a member of IEEE and AAAS.

Professional Profile

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Recommendation for Best Researcher Award: Professor Haojian Lu

Summary of Suitability for Award

Professor Haojian Lu’s remarkable contributions to robotics research, demonstrated through his extensive publication record, accolades, leadership roles, and innovative research projects, he is an outstanding candidate for the Best Researcher Award. His work not only advances the field of robotics but also has significant implications for healthcare and technology, reflecting a commitment to impactful research that benefits society. Recognizing his achievements with this award would be a fitting acknowledgment of his dedication and contributions to the scientific community.

Education

The educational journey of the individual spans two prestigious institutions, showcasing a strong foundation in both engineering and robotics. At the City University of Hong Kong, they pursued a Ph.D. in Robotics from August 2015 to October 2019, focusing on cutting-edge areas such as micro/nano manipulation, soft millirobots, and magnetic manipulation and control. Their research contributed significantly to the development of advanced robotic systems capable of intricate tasks at the micro and nano scales. Prior to this, they earned a B.S. in Mechatronical Engineering (first major) and Business Administration (second major) from the Beijing Institute of Technology between September 2011 and June 2015. Here, their research interests included legged robotics gait planning and stability control, field robotics, and aerial dispersal robotics, demonstrating a well-rounded expertise that bridges technical innovation and practical applications in the field of robotics. This diverse educational background positions them as a valuable contributor to advancements in robotic technologies.

Experiance

The individual currently serves as a Professor at Zhejiang University since September 2020, where their research encompasses medical robotics, robotic sensing, micro/nano robotics, and soft robotics. In this role, they lead innovative projects aimed at advancing healthcare technologies through robotics, emphasizing the importance of precision and adaptability in medical applications. Their expertise in robotic sensing enhances the capability of medical devices, while their work in micro/nano and soft robotics contributes to the development of versatile and minimally invasive solutions.Prior to their professorship, they worked as a Research Assistant at the City University of Hong Kong from October 2019 to August 2020. During this period, their research focused on nano-robotic manipulation and bio-assembly, where they investigated techniques for manipulating nanoscale materials for biological applications. This foundational experience allowed them to hone their skills in cutting-edge robotics research, setting the stage for their current impactful work in the field.

Awards and Honors

Professor Haojian Lu has received several prestigious awards and honors throughout his academic career, reflecting his significant contributions to the field of robotics. Notably, he was awarded the National Science Fund for Excellent Young Scholars, recognizing his outstanding research potential and achievements in advancing robotic technologies. Additionally, he received the Zhejiang University Outstanding Young Faculty Award, which honors his dedication to teaching and research excellence. His innovative work in medical robotics and soft robotics has also led to the recognition of multiple patents, highlighting his commitment to translating research into practical applications. Furthermore, Professor Lu’s contributions to nano-robotic manipulation have earned him the Best Paper Award at several international conferences, showcasing his influence and thought leadership in the robotics community. These accolades underscore his role as a pioneering researcher and educator, committed to pushing the boundaries of robotics and its applications in various fields.

Research focus

Professor Haojian Lu’s research interests encompass a diverse range of cutting-edge areas within robotics, primarily focusing on medical robotics, robotic sensing, micro/nano robotics, soft robotics, and micro aerial vehicles. His work in medical robotics aims to enhance surgical precision and patient outcomes through the development of advanced robotic systems that assist in minimally invasive procedures. In the realm of robotic sensing, he investigates innovative sensor technologies that improve the interaction between robots and their environments, enabling more intuitive and effective responses. His research in micro and nano robotics delves into the manipulation and control of tiny robots for applications in bioengineering and medicine. Additionally, Professor Lu explores soft robotics, emphasizing the design of flexible and adaptive robotic systems that can safely interact with humans and navigate complex environments. Lastly, his interest in micro aerial vehicles focuses on developing agile and efficient drones for various applications, including environmental monitoring and disaster response.

Publication Top Notes

“3D Model-Free Visual Localization System From Essential Matrix Under Local Planar Motion”
“Design and Stiffness Control of a Variable-Length Continuum Robot for Endoscopic Surgery”
“Learning-Based High-Precision Force Estimation and Compliant Control for Small-Scale Continuum Robot”
“Meta Reinforcement Learning of Locomotion Policy for Quadruped Robots With Motor Stuck”
“Piezoelectric Planar Parallel Microrobot With High Bandwidth and Precision for Micromanipulation”

 

Suresh Sankaranarayanan |Sensing | Best Researcher Award

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Prof Dr.Suresh Sankaranarayanan |Sensing | Best Researcher Award

Full Professor atĀ  King Faisal University,Saudi Arabia

Prof. Dr. S. Suresh is a distinguished professor at the College of Computer Science and Information Technology, King Faisal University, Saudi Arabia. With a Ph.D. in Information Technology from the University of South Australia, Dr. Suresh has dedicated over two decades to advancing knowledge in fields such as IoT, machine learning, and fog computing. He has held significant positions at various esteemed institutions, contributing to both academic and practical advancements in technology. His innovative approach is reflected in numerous patents and publications, making him a thought leader in his area of expertise. His commitment to research and education is complemented by a passion for mentoring the next generation of technology professionals. šŸŒšŸŽ“

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Research Contributions: Dr. Suresh has a robust portfolio of research focused on cutting-edge areas such as IoT, Fog Computing, and Machine Learning. His work has led to multiple international and Indian patents, demonstrating innovation and practical application of his research.
  2. Academic Excellence: With a Ph.D. from a reputable university and multiple accolades for research output, including awards for highest Scopus citations and significant contributions to academic programs, Dr. Suresh exemplifies scholarly achievement.
  3. Leadership and Coordination: As a Professor and former Programme Coordinator, he has effectively led research initiatives and academic programs, indicating strong leadership capabilities in fostering research environments.
  4. International Recognition: His presentations at numerous international conferences, coupled with keynote speeches and workshops, highlight his influence and standing within the global research community.
  5. Interdisciplinary Approach: Dr. Sureshā€™s work bridges various domains, enhancing collaborations across fields like healthcare, agriculture, and energy management, which is crucial for addressing complex societal challenges.
  6. Continuous Professional Development: Participation in workshops and training programs underscores his commitment to staying updated with emerging technologies, which enriches his research and teaching.

Areas for Improvement:

  1. Collaborative Research Initiatives: While Dr. Suresh has numerous individual achievements, enhancing collaborative projects with other institutions or industry partners could amplify the impact of his research.
  2. Publication Strategy: Increasing the frequency of publications in high-impact journals can further solidify his reputation and broaden the dissemination of his findings.
  3. Mentorship and Guidance: Focusing on mentoring early-career researchers and students can foster the next generation of innovators in his field, thereby enhancing the overall research output of his institution.
  4. Broader Engagement with Industry: Expanding partnerships with industry stakeholders could facilitate the application of his research findings in real-world scenarios, enhancing the relevance of his work.

Education:

Prof. Dr. S. Suresh holds a Doctor of Philosophy from the University of South Australia, where his research focused on agent-based IP traffic congestion management in DiffServ networks. He completed his Master of Science by Research at Anna University, India, exploring the applications of policy and mobile agents in network management. His academic journey began with a Bachelor of Engineering in Computer Science and Engineering from the University of Madras, where he graduated with first-class honors. Dr. Sureshā€™s solid educational foundation has equipped him with the skills necessary to excel in research and academia, enabling him to make significant contributions to the fields of computer science and information technology.šŸ“ššŸŽ“

Experience:

Prof. Dr. S. Suresh has extensive experience in academia and research. He is currently a Professor at King Faisal University in Saudi Arabia. Previously, he was a Professor and Programme Coordinator for the Internet of Things and Networking Programme at SRM Institute of Science and Technology in India. His earlier roles include Associate Professor at various institutions, including Brunei Teknologi University and the University of West Indies. Dr. Suresh has also worked as an Australian Research Council Fellow at the University of Sydney and held positions as a lecturer and research assistant across multiple universities in Australia. His diverse experience encompasses curriculum development, research supervision, and collaboration with industry partners, contributing to significant advancements in technology and education.šŸŒŸšŸ«

Awards and Honors:

Prof. Dr. S. Suresh has received numerous awards recognizing his contributions to research and education. In 2024, he was honored with the Appreciation Award for US Patent achievements at King Faisal University. He also received a Certificate of Appreciation for the highest number of Scopus citations in 2021-22 from SRM Institute of Science and Technology. His work in patent innovation has been acknowledged with certificates for patents granted during the same period. He was also awarded a Travel Award from the Science and Engineering Research Board for presenting at an international conference. Further accolades include a Research and Publication Award from SRM Institute and recognition for achieving 100% placement for his students. His consistent excellence has established him as a respected figure in academic circles.šŸ†šŸŽ–ļø

Research Focus:

Prof. Dr. S. Suresh’s research focuses on cutting-edge technologies in IoT, machine learning, fog computing, and intelligent agents. His innovative work in these fields aims to develop systems that enhance automation and efficiency in various applications, including agriculture, healthcare, and energy management. He has significantly contributed to the development of intelligent systems that leverage deep learning and distributed computing for improved performance and reliability. His recent projects include smart irrigation systems and energy management solutions using IoT-fog frameworks. Additionally, he is actively involved in research on networking solutions that address challenges in modern communication systems. Dr. Suresh’s commitment to advancing technology is reflected in his extensive list of publications and patents, underscoring his role as a leading researcher in his field.šŸ”šŸ’”

Publications Top Notes:

  • IoT Based Hydroponics System Using Deep Neural Networks
  • Intelligent IoT Based Automated Irrigation System
  • Flood Prediction Based on Weather Parameters Using Deep Learning
  • Smart Energy Management and Demand Reduction by Consumers and Utilities in an IoT-Fog-Based Power Distribution System
  • Intelligent IoT Based Water Quality Monitoring System
  • IoT Based SCADA Integrated with Fog for Power Distribution Automation
  • Automatic Lighting and Control System for Classroom
  • IoT Based Smart Energy Management System
  • Application of Intelligent Agents in Hospital Appointment Scheduling System
  • Data Flow and Distributed Deep Neural Network Based Low Latency IoT-Edge Computation Model for Big Data Environment
  • Application of Smart Technologies for Mobile Patient Appointment System
  • Publish/Subscribe Based Multi-Tier Edge Computational Model in Internet of Things for Latency Reduction
  • Agent Negotiation in an IoT-Fog Based Power Distribution System for Demand Reduction
  • Intelligent Agent Based Hotel Search & Booking System
  • IoTā€“Fog Enabled Framework for Forest Fire Management System
  • Biometric Security Mechanism in Mobile Payments
  • Home Monitoring and Security System
  • ABASHā€”Android Based Smart Home Monitoring Using Wireless Sensors
  • Home Based Fire Monitoring and Warning System
  • Job Search System in Android Environmentā€”Application of Intelligent Agents

Conclusion:

Dr. S. S. Suresh’s impressive research portfolio, leadership in academia, and commitment to innovation position him as an exceptional candidate for the Best Researcher Award. His strengths in contributing to key technological areas, along with his potential for further growth through collaborative efforts and mentorship, make a compelling case for recognizing his contributions to the field. This award would not only honor his achievements but also encourage further advancements in his research endeavors.

 

Prof. Joonki Paik | Point Cloud Processing | Best Researcher Award

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Prof. Joonki Paik | Point Cloud Processing | Best Researcher AwardĀ 

Prof. Joonki Paik, Chung-Ang University ,South Korea

Dr. Joonki Paik, born in Seoul, Korea, in 1960, is a distinguished figure in the fields of image processing, intelligent systems, and higher education. He earned his BS degree in Control and Instrumentation Engineering from Seoul National University in 1984, followed by MS and Ph.D. degrees in Electrical Engineering and Computer Science from Northwestern University in 1987 and 1990, respectively. Beginning his career at Samsung Electronics, Dr. Paik played a pivotal role in designing image stabilization chipsets for consumer camcorders. In 1993, he joined Chung-Ang University in Seoul, where he is currently a professor with the Graduate School of Advanced Imaging Science, Multimedia, and Film. His tenure included serving as a visiting professor at the University of Tennessee, Knoxville, from 1999 to 2002, and directing a national research laboratory in Korea since 2005. Dr. Paik has also served as Dean of the Graduate School of Advanced Imaging Science, Multimedia, and Film and as director of the Seoul Future Contents Convergence Cluster. A notable contributor to Samsung Electronics’ Systems LSI Division, he developed various computational photographic techniques. His influence extends to governmental roles, including membership on the Presidential Advisory Board for Scientific/Technical Policy and as a technical consultant for the Korean Supreme Prosecutor’s Office.

Professional Profile

SCOPUS

ORCID

 

Education

  • Ph.D. in Electrical Engineering and Computer Science
    • Northwestern University, USA
    • 1990
  • M.S. in Electrical Engineering and Computer Science
    • Northwestern University, USA
    • 1987
  • B.S. in Control and Instrumentation Engineering
    • Seoul National University, Korea
    • 1984

Work Experience

  • Vice President of Academic Affairs
    • Chung-Ang University, Seoul, Korea
    • 2020 – Present
  • Vice President of Research and Dean of the Artificial Intelligence Graduate School
    • Chung-Ang University, Seoul, Korea
    • 2021 (one-year term)
  • Project Manager for the Military AI Education Program
    • Korea’s Department of Defense
    • 2022 – Present (five-year appointment)
  • Professor
    • Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul, Korea
    • 1993 – Present
  • Technical Consultant (Full-Time)
    • Systems LSI Division, Samsung Electronics
    • 2008

 

Publication top Notes

Robust point cloud registration using Hough voting-based correspondence outlier rejection

Minimizing optical attribute errors for a lane departure warning system using an ultra-wide-angle camera

ODD-M3D: Object-Wise Dense Depth Estimation for Monocular 3-D Object Detection

GRAVITATED LATENT SPACE LOSS GENERATED BY METRIC TENSOR FOR HIGH-DYNAMIC RANGE IMAGING

Practical Abandoned Object Detection in Real-World Scenarios: Enhancements Using Background Matting With Dense ASPP

Enhancing Around View System for VEHICLES: Lut Correction Via Deep Learning

 

Education using sensors

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Introduction of Education using sensors

Education using sensors is a dynamic field that leverages sensor technologies to enhance learning experiences and improve educational outcomes. Sensors offer opportunities for hands-on, interactive learning across various subjects, from science and engineering to environmental studies and healthcare.

Sensor-Based Science Education:

Investigating the integration of sensors into science curricula to enable students to conduct experiments and collect real-time data, fostering scientific inquiry and critical thinking.

Environmental Monitoring and Education:

Focusing on sensor networks and environmental monitoring tools used in educational settings to teach students about ecosystems, climate change, and sustainability.

Robotics and Sensor-Based Programming:

Addressing robotics and programming platforms that incorporate sensors to teach coding, problem-solving, and robotics concepts in K-12 and higher education.

Healthcare Simulation and Medical Education:

Analyzing sensor-based healthcare simulators and training tools that provide hands-on experiences for medical and healthcare students, improving clinical skills and patient care.

Internet of Things (IoT) in Education:

Investigating the use of IoT sensor networks and devices in educational scenarios, allowing students to explore concepts related to connectivity, data analysis, and automation.

Internet-based and other Remote Data Acquisition

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Introduction of Internet-based and other Remote Data Acquisition

Internet-based and remote data acquisition technologies have revolutionized the way data is collected, monitored, and analyzed across various domains. These systems enable the real-time collection of data from remote locations, allowing for immediate insights, decision-making, and even automation.

Remote Sensing Technologies:

Investigating the use of remote sensing technologies, including satellite and aerial-based systems, for collecting data on Earth’s surface, atmosphere, and oceans, supporting applications in climate monitoring, agriculture, and disaster management.

Internet of Things (IoT) Sensor Networks:

Focusing on the development and deployment of sensor networks in IoT applications, enabling remote data collection and control of interconnected devices in smart homes, cities, and industrial settings.

Telemetry and Data Logging:

Addressing the telemetry systems and data Logging techniques used to Collect data from remote sensors and instruments, essential for environmental Monitoring wildlife Tracking, and scientific research.

Telemedicine and Remote Patient Monitoring:

Analyzing technologies for remote patient monitoring and telemedicine applications, including wearable sensors and telehealth platforms that allow healthcare professionals to monitor and diagnose patients from a distance.

Remote Industrial Monitoring and Automation:

Investigating the use of remote data acquisition and control systems in industrial automation enabling real-time monitoring of machinery, predictive maintenance, and process optimization in manufacturing and energy sectors.

Particle accelerators and detectors

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Introduction of Particle accelerators and detectors

Particle accelerators and detectors represent the core infrastructure of high-energy physics experiments enabling scientists to explore the fundamental properties of matter and the universe’s mysteries.

Accelerator Technologies:

Investigating the development of particle accelerators, including linear accelerators (linacs), circular accelerators (synchrotrons and cyclotrons), and next-generation accelerators like the Large Hadron Collider (LHC), to achieve higher energies and luminosities.

Particle Detectors:

Focusing on the design and construction of advanced particle detectors, such as silicon detectors calorimeters and tracking detectors, used to capture and analyze particles produced in accelerator collisions.

High-Energy Physics Experiments:

Addressing the planning and Execution of high-energy Physics experiments, including studies of the Higgs boson, Dark matter, and neutrinos, and their impact on our understanding of the universe’s fundamental forces and particles.

Accelerator and Detector Instrumentation:

Analyzing the Instrumentation and control systems Essential for the efficient operation and data acquisition of accelerators and detectors, ensuring precision measurements and safety.

Future Accelerator and Detector Developments:

Investigating the research and development efforts aimed at creating the next generation of particle accelerators and detectors, with a focus on compact, high-energy machines and innovative Detector Technologies.

Sensors for high energy physics applications

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Introduction of Sensors for high energy physics applications

Sensors for high energy physics applications are at the forefront of scientific discovery, enabling the detection and measurement of subatomic particles and phenomena in particle accelerators and detectors.

Particle Detectors:

Investigating the development of particle Detectors including silicon strip detectors calorimeters and time-of-flight detectors used to identify and track particles produced in high-energy collisions.

Radiation-Hard Sensors:

Focusing on sensors and materials that can withstand the intense radiation Environments found in particle Physics experiments ensuring long-term reliability and accuracy.

Fast Timing Detectors:

Addressing the need for sensors with high temporal Resolution for time-of-flight Measurements particle identification, and the study of short-lived particles.

Gas and Liquid Detectors:

Analyzing gas and liquid detectors. such as drift chambers and time projection Chambers, used for precise particle tracking and momentum measurement.

Trigger and Data Acquisition Systems:

Investigating sensor technologies integrated into Trigger and data Acquisition systems to efficiently select and record relevant collision events in real-time from the vast data generated in high-energy physics experiments.

Solid State Sensors

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Introduction of Solid State Sensors

Solid state sensors represent a fundamental category of sensors that rely on semiconductor materials to detect and convert physical phenomena into electrical signals. These sensors are essential components in a wide range of applications, from consumer electronics to industrial automation and healthcare.

MEMS-Based Sensors:

Investigating Micro-Electro-Mechanical Systems MEMS technology in the development of solid state sensors including accelerometers gyroscopes and pressure sensors used in consumer devices automotive safety systems and robotics.

Chemical and Gas Sensors:

Focusing on solid state sensors designed to detect and quantify gases volatile organic compounds VOCs and chemical analytes for applications in environmental monitoring industrial safety and healthcare.

Temperature and Thermal Sensors:

Addressing solid state sensors used for temperature sensing and thermal imaging crucial in industrial processes electronics and thermal management systems.

Solid State Image Sensors:

Analyzing the development of image sensors based on solid state technology, such as complementary metal-oxide-semiconductor CMOS and charge-coupled devices CCD for digital cameras, Medical imaging and security systems.

Semiconductor Strain Sensors:

Investigating sensors that measure mechanical deformation and strain in solid materials with applications in structural health monitoring civil engineering, and materials testing.

Applications of Sensors

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Introduction of Applications of Sensors

Sensors are the unsung heroes of the digital age, playing a pivotal role in a multitude of applications across industries. They serve as the eyes and ears of technology, capturing and converting physical parameters into actionable data.

Healthcare and Medical Sensors:

Investigating the use of sensors in medical devices and diagnostic tools for applications like vital sign monitoring, medical imaging, and disease detection, enhancing patient care and diagnostics.

Environmental Sensing:

Focusing on sensors deployed for monitoring and analyzing environmental parameters such as air quality, water quality, weather conditions, and pollution levels to support environmental research and management.

Automotive and Transportation Sensors:

Addressing the role of sensors in automotive safety systems, autonomous vehicles, and traffic management for improved vehicle performance and road safety.

Industrial Automation and Process Control:

Analyzing sensors’ contributions to industrial automation, process control, and quality assurance, optimizing manufacturing processes and ensuring product quality.

Aerospace and Defense Sensors:

Exploring sensor applications in aerospace and defense technologies, including aircraft navigation, missile guidance, and surveillance systems, enhancing national security and safety.

Smart Cities and IoT Sensors:

Investigating the integration of sensors into smart city infrastructure for applications like smart traffic management, waste management, and energy conservation, improving urban living.

Agricultural Sensors:

Focusing on sensors used in precision agriculture for crop monitoring, soil analysis, and livestock tracking, optimizing farming practices and resource management.

Wearable Sensors and IoT Devices:

Addressing sensors integrated into wearable devices and IoT ecosystems, supporting applications in fitness tracking, healthcare, and home automation.