Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

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Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network

 

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

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Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award 

 Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and master’s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liu’s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

Dr Naifeng He | Applications of Sensors| Best Researcher Award

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Dr Naifeng He | Applications of Sensors| Best Researcher Award 

Dr Naifeng He, Nanjing University of Aeronautics and Astronautics,China

He Naifeng is a dedicated PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics. Specializing in motion control and navigation of wheel-legged mobile robots, his research integrates traditional control techniques with reinforcement learning to enhance robotic autonomy in dynamic environments.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

He Naifeng, a PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics, specializes in motion control and navigation of wheel-legged mobile robots. His innovative research integrates traditional control techniques with reinforcement learning, significantly enhancing the autonomy and agility of mobile robots in dynamic environments. With several published articles and a pending patent, He Naifeng demonstrates a commitment to advancing the field of robotics.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

As a PhD candidate, He Naifeng is actively involved in cutting-edge research projects focused on optimizing navigation systems for wheel-legged robots. His work includes consultancy projects that apply advanced navigation algorithms in industrial inspection settings, showcasing his ability to translate research into real-world solutions.

Skills

He possesses a robust skill set that includes motion control system design, reinforcement learning applications, and path planning for autonomous systems. His expertise in integrating traditional control methods with advanced machine learning techniques positions him as a valuable asset in the field of robotics.

Awards and Honors

He Naifeng’s research has garnered recognition, including publications in prominent journals such as Sensors and Actuators. He is also in the process of patenting a dynamic obstacle avoidance control system for wheel-legged robots, reflecting his innovative contributions to the field.

Membership

He is an active member of professional organizations related to automation and robotics, facilitating collaborations and networking opportunities within the scientific community. His membership underscores his commitment to staying at the forefront of advancements in his field.

Teaching Experience

He Naifeng has experience in guiding students and peers through complex topics in automation and robotics. His ability to communicate intricate concepts effectively makes him a respected figure among his colleagues and students.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering

A Self-Adaptive Double Q-Backstepping Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots

A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

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Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Dr. Srinivas Balivada, University of Chicago Trust, India

Dr. Srinivasa Balivada is a consultant with the University of Chicago Trust in Delhi, India, and a guest scientist at the University of Chicago. He holds a Ph.D. in Chemistry from Andhra University, where his research focused on trace elements in diabetes mellitus and hypertension. Dr. Balivada’s expertise lies in developing innovative cyber-physical systems for real-time monitoring of soil and water quality, leveraging AI to promote sustainable environmental management.

Professional Profile:

Summary of Suitability for Best Researcher Award: Srinivasa Balivada, Ph.D.

Research Contributions: Srinivasa Balivada has made significant advancements in the field of cyber-physical systems and environmental monitoring. His research has been pivotal in developing innovative technologies for real-time soil and water quality monitoring, leveraging machine learning and advanced sensor networks. Some notable contributions include:

Education

  • Ph.D. in Chemistry, October 2018
    Andhra University, India
  • M.Sc. in Bio-Inorganic Chemistry, May 2007
    Andhra University, India
  • B.Sc. in Chemistry, Botany, and Zoology, May 2005
    Andhra University, India

Work Experience

  • Guest Scientist & Consultant, May 2024 – Present
    University of Chicago & University of Chicago Trust, Delhi, India
    Focus: Designing a web-based platform integrating water quality data with contextual information to identify pollution sources and enhance monitoring.
  • Staff Scientist & Resident Associate, May 2023 – May 2024
    University of Chicago & Material Science Division, Argonne National Laboratory
    Focus: Developed a novel machine learning algorithm for spatially mapping soil moisture using topographic parameters.
  • Postdoctoral Scholar & Resident Associate, May 2019 – May 2023
    University of Chicago & Material Science Division, Argonne National Laboratory
    Advisor: Prof. Supratik Guha; Co-advisor: Dr. Roser Matamala
    Focus: Developed low-power, wireless underground sensor networks for soil property collection; created a deep learning algorithm for soil moisture estimation.
  • Senior Research Lead, May 2017 – April 2019
    University of Chicago Centre, Delhi, India
    Focus: Developed a cyber-physical sensing system for high-resolution surface water quality mapping; created a soft measurement technique for water quality assessment.
  • Research Scholar, 2010 – 2017
    School of Chemistry, Andhra University, India
    Advisor: Prof. M S Prasada Rao
    Focus: Developed a method for simultaneous trace element determination in blood samples; investigated trace element associations with diabetes and hypertension.
  • Research Fellow, 2010 – 2017
    Centre for Studies on Bay of Bengal, Andhra University, India
    Focus: Developed algorithms for quantifying chlorophyll, chromophoric organic matter, and suspended solids in coastal waters; monitored algal blooms using satellite remote sensing.
  • Teaching Assistant, 2011 – 2017
    Department of Inorganic and Analytical Chemistry, Andhra University, India
    Taught and graded laboratory sessions for Bio-Inorganic Chemistry and Environmental Chemistry.
  • Chemist in Quality Control Department, 2007 – 2009
    Auctus Pharma Ltd., India
    Responsibilities: Conducted routine and non-routine analyses of raw materials and finished products, compiled data, and calibrated analytical instruments including HPLC, GC, IR, and UV-Vis spectrometers.

Publication top Notes:

 

Distribution of trace metals in surface seawater and zooplankton of the Bay of Bengal, off Rushikulya estuary, East Coast of India

CITED:76

A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation

CITED:14

Contrasting bio-optical characteristics of coastal water prior to and in the aftermath of a tropical super cyclone

CITED:8

Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions

CITED:8

Retrieval and validation of chlorophyll-a concentrations in the coastal waters Off Yanam and Kakinada (Godavari) basin along East coast of India

CITED:7

 

Prof. Tao Tang | Sensor Module | Best Researcher Award

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Prof. Tao Tang | Sensor Module | Best Researcher Award 

Prof. Tao Tang, Southwest Minzu University, China 

Dr. Tao Tang is a distinguished Professor at the College of Electronic Engineering, Chengdu University of Information Technology (CUIT), China. He earned his Bachelor’s degree from Leshan Normal University in 2005 and subsequently completed his Master’s and Ph.D. degrees at Southwest Jiaotong University between 2005 and 2011. With a profound expertise in antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility, Dr. Tang has contributed significantly to these fields through both academic and practical endeavors.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

Dr. Tao Tang is a highly accomplished researcher and professor in the field of antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility. His extensive academic background, including a Ph.D. from Southwest Jiao tong University and postdoctoral fellowships at prestigious institutions, reflects a strong foundation in his areas of expertise.

Education

  • 2001–2005: Bachelor of Science (B.S.) in [unspecified field], Leshan Normal University, Leshan, China.
  • 2005–2011: Master and Ph.D. in [unspecified fields], Southwest Jiaotong University, Chengdu, China.

Professional Experience

  • 2011–2013: Lecturer, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
  • 2014–2020: Associate Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
  • 2015–2017: Postdoctoral Fellow, Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, China.
  • 2017–2020: Postdoctoral Fellow, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • 2019-2020: Visiting Scholar, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada.
  • 2019-Present: Head, Department of Electronic Information Science and Technology, Chengdu University of Information Technology, Chengdu, China.
  • 2019-Present: Director, Pre-research Center, Sichuan SIP Electronic Technology Co., Ltd., Chengdu, China.
  • 2021-Present: Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.

Publication top Notes:

A Self-Packaging Comb Spectrum Generator Based on Substrate Integrated Suspension Line

Design of X-Band Circulator and Isolator for High-Peak-Power Applications

A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots

Enhancing the Directivity of Antennas Using Plasma Rings

Numerical Modeling of the Radio Wave Over-the-Horizon Propagation in the Troposphere

Frequency Reconfigurable Near-Zero Refractive Index Material for Antenna Gain Enhancement Applications

Frequency Reconfigurable Near-Zero Refractive Index Material for Antenna Gain Enhancement Applications

 

Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

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Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

Dr. Makavelo Germain Deon, China University of Mining and Technology, China

Makavelo Germain is a passionate researcher and dynamic professional specializing in mining engineering with a focus on strata and ground control. He is currently a Ph.D. candidate at the China University of Mining and Technology, Xuzhou, Jiangsu Province, China, where he specializes in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining. With a strong educational foundation, he holds a Master’s degree in Mining Engineering and a Bachelor’s degree in Geology from the University of Mahajanga, Madagascar. Makavelo’s professional journey includes roles as a Waterproof Supervisor and Technician in Astana, Kazakhstan, and HVAC Technician and Assistant Technician in Mahajanga, Madagascar. Fluent in Malagasy, English, French, and possessing basic proficiency in Russian and Chinese, he excels in cross-functional collaboration and leadership, leveraging his analytical skills to drive process improvements in his field.

Professional Profile:

Summary of Suitability for Best Researcher Award

Deon Makavelo Germain is a highly qualified candidate for the Best Researcher Award, particularly in the field of mining engineering. His extensive academic and professional experience, combined with his proven track record of impactful research, makes him a strong contender for this accolade.

🎓 Education

  • Ph.D. Candidate in Mining Engineering (2021 – Present)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Master of Mining Engineering (2014 – 2017)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Chinese Language Course (HSK-4) (2013 – 2014)
    Completed one year of Chinese Language Course at the International College, China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Bachelor of Geology (2007 – 2010)
    Earned a Bachelor’s degree in Geology from the Faculty of Sciences, University of Mahajanga, Madagascar.

🛠️ Experience

  • Waterproof Supervisor (2018 – 2021)
    Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • Waterproof Technician (2017 – 2018)
    Worked as a Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • HVAC Technician (2012 – 2013)
    HVAC Technician at FRIMECAM Co., Mahajanga, Madagascar.
  • HVAC Assistant Technician (2009 – 2012)
    HVAC Assistant Technician at FRIGOMAD Co., Mahajanga, Madagascar.

Publication top Notes:

Analysis of Solid Backfilling Effects on Strata and Ground Subsidence in a Longwall Coal Mine Beneath a City

Study of Slope Stability of the Mining Wall in an Open-Pit Coal Mine by the Paste Cut-and-Backfill Method

Sensitivity analysis of key factors influencing compression-induced deformation of waste rocks for backfilling to reduce environmental pollution

Recycling of crushed waste rock as backfilling material in coal mine: effects of particle size on compaction behaviours

Influential Factors in Transportation and Mechanical Properties of Aeolian Sand-Based Cemented Filling Material

 

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

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Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award 

Dr. DAVIDE BRIVIO, BWH, United States

Dr. Davide Brivio is an accomplished physicist specializing in radiation oncology physics. Born in Carate Brianza (MB), Italy, he embarked on his academic journey at the Università degli Studi di Milano (University of Milan), where he earned his B.Sc. in Physics in 2006, followed by an M.Sc. in Physics in 2008 under the guidance of advisors Nicola Piovella and Robin Kaiser. He further advanced his expertise by obtaining a Ph.D. in Physics in 2012, mentored by Dr. Cialdi Simone. After completing his Ph.D., Dr. Brivio pursued postdoctoral training at Brigham and Women’s Hospital, Harvard Medical School, where he served as a Post-Doctoral Fellow in Radiation Oncology Physics from 2013 to 2019 under the supervision of Dr. Piotr Zygmanski. His dedication to the field led him to complete a Medical Physics Residency in Radiation Oncology Physics from 2019 to 2022, directed by Dr. Yulia Lyatskaya, with Dr. Zygmanski as his research advisor.

 

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Davide Brivio has an extensive and impressive academic and professional background, which makes him a strong candidate for the Best Researcher Award at the Faculty of Medicine of Harvard University. Below are the key points that highlight his qualifications:

Education:

  • 2006: B.Sc. Physics, Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2008: M.Sc. Physics (Advisors: Nicola Piovella, Robin Kaiser), Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2012: Ph.D. Physics (Advisor: Dr. Cialdi Simone), Università degli Studi di Milano (University of Milan), Milan (MI), Italy

Postdoctoral Training:

  • 2013-2019: Post-Doctoral Fellow in Radiation Oncology Physics (Advisor: Dr. Piotr Zygmanski), Brigham and Women’s Hospital, Harvard Medical School
  • 2019-2022: Medical Physics Resident in Radiation Oncology Physics (Director: Dr. Yulia Lyatskaya, Research Advisor: Dr. Piotr Zygmanski), Harvard Medical School, Boston, MA

Faculty Academic Appointments:

  • 07/2022-present: Instructor in Radiation Oncology (Physics), Harvard Medical School

Appointments at Hospitals/Affiliated Institutions:

  • 07/2022-present: Clinical Physicist in Radiation Oncology (Physics), Brigham and Women’s Hospital, Boston, MA

Major Administrative Leadership Positions:

  • 2021-2022: Senior Resident, Medical Physics Residency (year-round), Harvard Medical School

Committee Service:

  • National:
    • 2022-present: Invited Abstract Evaluation Committee for AAPM Annual Meeting, American Association of Physicists in Medicine
    • 2023-present: Physics PhD Steering Committee, Università degli Studi di Milano, Italy (Milan University)
  • Local:
    • 2024: MGB Technology Evaluation Committee, MGB
    • 2024: Master Thesis Committee, UML

Professional Societies:

  • 2015-present: Member, American Association of Physicists in Medicine
  • 2015-present: Member, New England Chapter of the American Association of Physicists in Medicine
  • 2019-2023: Member, Radiological Society of North America (RSNA)
  • 2023-present: Member, American Brachytherapy Society (ABS)

Editorial Activities:

  • Ad hoc Reviewer for:
    • Medical Physics
    • Physics in Medicine and Biology
    • International Journal of Radiation OncologyBiologyPhysics
    • Physica Medica
    • Radiation Research

Publication top Notes:

Remote sensing of high energy particle currents (HEC): towards HEC radiography

X-ray Induced Electric Currents in Anodized Ta2O5: Towards a Large-Area Thin-Film Sensor

Radioactive source localization employing resistive electrode array (REA) detector

Resistive electrode array (REA) for radiotherapy beam monitoring and quality assurance

Remote sensing array (RSA) for linac beam monitoring

Gold nanoparticle detection and quantification in therapeutic MV beams via pair production

Prof. Chaoran Liu | Microsystems Award | Best Researcher Award

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Prof. Chaoran Liu | Microsystems Award | Best Researcher Award 

Prof. Chaoran Liu, Hangzhou Dianzi University, china

Chaoran Liu is a distinguished professor at Hangzhou Dianzi University, where he has been shaping the field of microelectronics and solid-electronics since January 2021. Dr. Liu earned his Ph.D. in Microelectronics and Solid-electronics from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, in September 2017. Prior to that, he completed his Master’s in Physical Electronics and his Bachelor’s in Electronics Science and Technology at Zhengzhou University. With a career spanning both academic and practical realms, Dr. Liu’s research interests include MEMS sensors, flexible wearable sensors, triboelectric nanogenerators, smart sensor systems, and integrated circuits. His work is pivotal in advancing sensor technology and its applications, reflecting his deep commitment to innovation and excellence in the field.

Professional Profile:

ORCID

Education:

  • Ph.D. in Microelectronics and Solid-Electronics
    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China
    September 2014 – September 2017
  • M.E. in Physical Electronics
    College of Physical Engineering, Zhengzhou University, China
    September 2011 – March 2014
  • B.S. in Electronics Science and Technology
    College of Physical Engineering, Zhengzhou University, China
    September 2007 – July 2011

Work Experience:

  • Associate Professor / Professor
    Hangzhou Dianzi University, Hangzhou, China
    January 2021 – Present
  • Lecturer
    Hangzhou Dianzi University, Hangzhou, China
    September 2017 – December 2020

Publication top Notes:

A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs)

A silicon nanowire array biosensor fabricated by complementary metal oxide semiconductor technique for highly sensitive and selective detection of serum carcinoembryonic antigen

Harvesting ultralow frequency (< 1 Hz) mechanical energy using triboelectric nanogenerator

Self-propelled droplet-based electricity generation

A self-powered acceleration sensor with flexible materials based on triboelectric effect

 

 

Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

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Mr. Mohammad Ali Nasiri | Thermoelectric sensor | Best Researcher Award

Mr. Mohammad Ali Nasiri ,university of valencia -Instituto de Ciencia Molecular (ICMOL), Spain

Mohammad Ali Nasiri, based in Valencia, Spain, is an innovative researcher specializing in thermoelectric materials, energy storage, and sustainable solutions. With over five years of experience at the Instituto de Ciencia Molecular (ICMOL), he has made significant advancements in energy storage technologies and sustainable thermoelectric materials. Nasiri has expertise in micro/nanofabrication and extensive characterization techniques, including electron beam evaporation, thermal evaporation, and Raman spectroscopy. His notable publications include works on ultrathin transparent nickel electrodes and lignin-derived ionic conducting membranes. Nasiri holds a Master of Science in Nanotechnology from the Materials and Energy Research Center, Iran, and a Master of Science in Mechanical Engineering from Tarbiat Modares University, Iran. He is currently pursuing research in Nanoscience and Nanotechnology at the University of Valencia, focusing on thermoelectric materials. Nasiri’s work has been guided by esteemed research advisors Andres Cantarero and Clara Gomez.

Professional Profile:

ORCID

Education:

  • Researcher in Nanoscience and Nanotechnology, University of Valencia (March 2019 – Present)
  • Master of Science in Nanotechnology – Nanomaterials, Materials and Energy Research Center, Tehran, Iran (September 2014 – 2017)
  • Master of Science in Mechanical Engineering, Tarbiat Modares University, Tehran, Iran (November 2006 – 2009)

Languages:

  • English (B1), Persian (Native) 🗣️📚

Research Interests:

  • Hydrogel bioelectronics
  • Thermal conductivity on flakes
  • Ionic thermometric materials 🌊🌡️

Professional Experience:

  • Researcher Assistant at Instituto de Ciencia Molecular (ICMOL) (March 2019 – Present)
    • Developed sensors for 3ω method thermal conductivity characterization.
    • Created lignin-based MWCNT/MXene multilayered electrodes for energy storage.
    • Pioneered sustainable innovations in thermoelectric materials, including lignin-derived ionic conducting membranes and hydrogels.
    • Advanced techniques in transparent thermoelectric materials, including ultrathin transparent nickel electrodes and selective light absorbers. 🌞🧪

Skills:

  • Cleanroom Class 10000: Expert in micro and nanofabrication techniques such as electron beam evaporation, thermal evaporation, sputtering, ellipsometry, dry etching, and wire bonding. 🏭🔧
  • Characterization Techniques: Proficient in thermoelectric and thermal conductivity measurements, Hall effect, Raman, FTIR, UV-Vis, XPS, Kerr electro-optic effect, and SThM. 📊🔍
  • Mathematical Modeling and Problem Solving: Specializes in ionic thermoelectric materials and metamaterials using finite element method (FEM) and perturbation method. 📐🧩

Publication top Notes:

Highly-efficient sustainable ionic thermoelectric materials using lignin-derived hydrogels

Synthesis of PEDOT/CNTs Thermoelectric Thin Films with a High Power Factor

Lignin‐Derived Ionic Conducting Membranes for Low‐Grade Thermal Energy Harvesting

Ultrathin Transparent Nickel Electrodes for Thermoelectric Applications

Textile‐based Thermoelectric Generator Produced Via Electrochemical Polymerization

Elevated temperature annealed α-Fe<inf>2</inf>O<inf>3</inf>/reduced graphene oxide nanocomposite photoanode for photoelectrochemical water oxidation