Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen at VTT Technical Research Centre of Finland, Finland

👨‍🎓 Profile

📜 Summary

Milla Vehviläinen is a dedicated research scientist specializing in electromobility. She has extensive experience in computational modeling and simulation of electromechanical powertrains, contributing to both academic research and practical applications in electrical engineering.

🎓 Education

Milla is pursuing a D.Sc. (Tech) at Aalto University in Espoo, Finland, expected to complete in Q4/2025, focusing on computational modeling with a GPA of 4.6/5.0. She earned her M.Sc. (Tech) in Mechatronic System Design from LUT University, Lappeenranta, in 2020, with a GPA of 4.2/5.0. Her academic journey began with a B.Sc. (Tech) in Mechanical Engineering from LUT University, where she graduated in 2018 with a GPA of 3.1/5.0.

💼 Professional Experience

Currently, Milla works as a Research Scientist at VTT in Espoo (since 09/2020), focusing on computational modeling and simulation of electromechanical systems. Previously, she was a Research Trainee at VTT (07/2020 – 09/2020), where she developed a simulation toolbox for smart electric vehicle systems. Milla also has experience as an R&D Engineer Trainee at ABB Oy in Helsinki, working on product development for wind generators (05/2018 – 04/2020), and as a Sales Engineer Trainee in spare parts sales (05/2017 – 04/2018). She started her career as a trainee at Way Structural Technology Oy, contributing to 3D design projects for power plants (05/2016 – 06/2016).

📚 Academic Citations

Milla has authored several peer-reviewed publications, including: “Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics” in Mechanism and Machines Theory (2024) and “Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck” in Energies (2022).

⚙️ Technical Skills

Milla is skilled in MBS dynamics, 3D CAD, and condition monitoring. She is proficient in programming languages such as Python and VBA, and she has experience with software tools like Siemens NX, Teamcenter, SAP, and Tekla.

🔬 Research Interests

Milla’s research interests include electromechanical systems, electromobility, and fault detection and monitoring in electrical systems.

📖 Top Noted Publications 

Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
  • Journal: Mechanism and Machine Theory
  • Year: 2024
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jenni Pippuri-Mäkeläinen, Marko Paakkinen, Jukka Pellinen, Kari Tammi, Anouar Belahcen
  • Journal: Energies
  • Year: 2022

Nan Yang | Power system planning | Best Researcher Award

Prof. Nan Yang | Power system planning | Best Researcher Award

Prof. Nan Yang at China Three Gorges University, China

👨‍🎓 Profiles

🌱 Early Academic Pursuits

Prof. Nan Yang began his academic journey at Taiyuan University of Technology, where he earned his Bachelor’s degree in 2009. He furthered his studies at Wuhan University, culminating in a Ph.D. in 2014. His strong foundation in engineering laid the groundwork for his subsequent research endeavors.

🏢 Professional Endeavors

Since 2014, Prof. Yang has held the position of Professor at China Three Gorges University, leading the Intelligent Energy Equipment and Operation Planning Technology research team. His leadership has been instrumental in overseeing significant projects, including collaborations with national institutions and industry partners.

💡 Contributions and Research Focus

Prof. Yang’s research primarily addresses power system operation and planning, with a focus on integrated energy systems, micro-grid control, and electric vehicle charging station planning. His innovative work has earned him recognition, including the Second Prize of the Hubei Province Science and Technology Progress Award.

🌍 Impact and Influence

His research has advanced the integration of new energy technologies into power grids, fostering more efficient and sustainable energy systems. Prof. Yang’s collaborative efforts have led to numerous publications in prestigious journals, influencing both academic and industry practices.

📊 Academic Cites

With over 1,198 citations and more than 80 published papers, Prof. Yang’s work is widely recognized in the field. His contributions span various journals, showcasing the impact of his research on global energy systems.

🔧 Technical Skills

Prof. Yang possesses expertise in power system automation, modeling and analysis, micro-grid operation, and the application of multi-agent game theory. His technical skills enable him to tackle complex challenges in energy systems effectively.

👨‍🏫 Teaching Experience

As an educator at China Three Gorges University, Prof. Yang has taught various courses on energy systems and power engineering. His commitment to education is reflected in his mentorship of students and involvement in curriculum development.

🏆 Legacy and Future Contributions

Prof. Yang’s legacy is characterized by his significant advancements in energy technology integration and his contributions to sustainable energy practices. He continues to explore innovative solutions, aiming to shape the future of energy systems and inspire the next generation of engineers.

 

📖 Top Noted Publications 

 

Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids

  • Authors: Z Li, L Wu, Y Xu, L Wang, N Yang
  • Journal: Applied Energy
  • Volume: 331
  • Pages: 120282
  • Year: 2023
A comprehensive review of security-constrained unit commitment
  • Authors: N Yang, Z Dong, L Wu, L Zhang, X Shen, D Chen, B Zhu, Y Liu
  • Journal: Journal of Modern Power Systems and Clean Energy
  • Volume: 10
  • Issue: 3
  • Pages: 562-576
  • Year: 2021
Intelligent data-driven decision-making method for dynamic multisequence: An E-seq2seq-based SCUC expert system
  • Authors: N Yang, C Yang, L Wu, X Shen, J Jia, Z Li, D Chen, B Zhu, S Liu
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 18
  • Issue: 5
  • Pages: 3126-3137
  • Year: 2021
A multi-agent game based joint planning approach for electricity-gas integrated energy systems considering wind power uncertainty
  • Authors: N Yang, T Qin, L Wu, Y Huang, Y Huang, C Xing, L Zhang, B Zhu
  • Journal: Electric Power Systems Research
  • Volume: 204
  • Pages: 107673
  • Year: 2022
Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities
  • Authors: N Yang, C Yang, C Xing, D Ye, J Jia, D Chen, X Shen, Y Huang, L Zhang, …
  • Journal: IET Generation, Transmission & Distribution
  • Volume: 16
  • Issue: 4
  • Pages: 629-640
  • Year: 2022
Emergent bacterial community properties induce enhanced drought tolerance in Arabidopsis
  • Authors: N Yang, J Nesme, HL Røder, X Li, Z Zuo, M Petersen, M Burmølle, …
  • Journal: npj Biofilms and Microbiomes
  • Volume: 7
  • Issue: 1
  • Pages: 82
  • Year: 2021

Anusuya Pal | Temporal Data Patterns | Best Researcher Award

Dr. Anusuya Pal | Temporal Data Patterns | Best Researcher Award

Dr. Anusuya Pal at The University of Tokyo, Japan

👨‍🎓 Profiles

👤 Summary

Dr. Anusuya Pal is a physicist specializing in Soft-Condensed Matter and Biophysics. Her research focuses on emergent morphological patterns, interfacial properties, and collective behavior in colloidal systems, utilizing image processing and machine learning techniques.

🎓 Education

Dr. Pal is currently a JSPS Post-doctoral Research Fellow at the Graduate School of Arts and Sciences, University of Tokyo. She previously held a post-doctoral position at the University of Warwick, UK. She earned her PhD in Physics from Worcester Polytechnic Institute (WPI) with a dissertation on self-assembly in bio-colloids, as well as an M.Sc. in Physics from WPI and an Integrated Master’s from the University of Hyderabad, India.

💼 Professional Experience

With a robust background in research, Dr. Pal has published multiple peer-reviewed articles and contributed significantly to her field. She has worked in various prestigious institutions, enhancing her expertise in both theoretical and experimental physics.

🔧 Technical Skills

Dr. Pal is skilled in a range of techniques including optical microscopy, scanning electron microscopy, and image analysis using ImageJ and Fiji. She is proficient in programming languages such as MATLAB and R, and has experience with statistical analysis and scientific writing.

📚 Teaching Experience

An experienced educator, Dr. Pal has instructed in various capacities, including as an instructor for outreach programs and as a teaching assistant at WPI. She has mentored high school and undergraduate students through hands-on experiments and lectures.

🔬 Research Interests

Her research encompasses the study of colloids and suspensions, drying droplets, and complex fluids, focusing on their physical properties and behaviors. She applies innovative computational methods to deepen the understanding of these systems.

 

📖 Top Noted Publications 

Pattern recognition of drying lysozyme–glucose droplets using machine learning classifiers
    • Authors: Anusuya Pal, Miho Yanagisawa
    • Journal: Physica A: Statistical Mechanics and its Applications
    • Year: 2024
Texture identification in liquid crystal-protein droplets using evaporative drying, generalized additive modeling, and K-means Clustering
    • Authors: Anusuya Pal, Amalesh Gope
    • Journal: The European Physical Journal E
    • Year: 2024
Time-Lapse Quantitative Analysis of Drying Patterns and Machine Learning for Classifying Abnormalities in Sessile Blood Droplets
    • Authors: Anusuya Pal, Miho Yanagisawa, Amalesh Gope
    • Journal: Preprint
    • Year: 2024
Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
    • Authors: Amalesh Gope, Anusuya Pal, Sekholu Tetseo, Tulika Gogoi, Joanna J, Dinkur Borah
    • Journal: Humanities and Social Sciences Communications
    • Year: 2024

Rahul Pratap Singh | Data Analysis | Best Researcher Award

Dr. Rahul Pratap Singh | Data Analysis | Best Researcher Award

Dr. Rahul Pratap Singh at Veer Bahadur Singh Purvanchal University Jaunpur, India

👨‍🎓 Profile

👤 Summary

Dr. Rahul Pratap Singh is a dedicated physicist specializing in semiconducting and magnetic nanomaterials. His research focuses on their synthesis, characterization, and industrial applications, utilizing advanced spectroscopic techniques and electron microscopy.

🎓 Education

Dr. Singh holds a PhD in Physics from Veer Bahadur Singh Purvanchal University, where he investigated semiconducting nanomaterials and their industrial applications. He completed his M.Sc. and B.Sc. in Physics & Maths at Pratap Bahadur Post Graduate College, and his schooling in Science and Mathematics at Government Inter College, Pratapgarh.

💼 Professional Experience

He has taught both undergraduate and postgraduate courses at S.V.M. Science and Technology Post Graduate College since 2016, with additional experience at B.N.S. Post Graduate College in 2017-2018.

🔧 Technical Skills

Dr. Singh is skilled in the synthesis and characterization of nanomaterials, as well as various spectroscopic techniques (IR, Raman, XRD) and electron microscopy (SEM, TEM).

🔬 Research Interests

His research interests include the synthesis and characterization of semiconducting and magnetic nanomaterials, as well as 2D materials, focusing on their potential industrial applications.

 

📖 Top Noted Publications 

Humidity sensing study of cobalt-doped cadmium sulphide nanomaterials
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala Bhardwaj, Kuwar Ankur Singh, B. C. Yadav, Prof. Santosh Kumar
    • Journal: Journal of Solid State Electrochemistry
    • Year: 2023
Synthesis and Characterization of Manganese Doped Zinc Ferrite for its Structural and Magnetic Properties
    • Authors: Avinash Chand Yadav, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Gulab Singh, Ajaz Hussain, Mukul Gupta, Aartee Sharma, Manvendra Kumar, Prof. Santosh Kumar
    • Journal: Iranian Journal of Science
    • Year: 2023
Synthesis of bismuth-doped praseodymium ortho ferrite nanomaterials for LPG sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Ajeet Singh, Bal Chandra Yadav, Manish Pratap Singh, Prof. Santosh Kumar
    • Journal: Applied Nanoscience
    • Year: 2023
Cobalt-doped praseodymium ortho ferrite as a promising nanomaterial for carbon dioxide gas sensing
    • Authors: Keval Bharati, Prabhat Ranjan Tiwari, Rahul Pratap Singh, Bala, Ajeet Singh, Bal Chandra Yadav, Prof. Santosh Kumar
    • Journal: Journal of Materials Chemistry C
    • Year: 2023
Nickel-Doped Cadmium Sulphide as a Promising Nanomaterials for Humidity Sensing Applications
    • Authors: Rahul Pratap Singh, Prabhat Ranjan Tiwari, Keval Bharati, Bala, Kuwar Ankur Singh, B. C. Yadav, Santosh Kumar
    • Journal: Sensing and Imaging
    • Year: 2023
Synthesis of calcium doped zinc ferrite nanomaterial and its application as a humidity sensor
    • Authors: Prabhat Ranjan Tiwari, Rahul Pratap Singh, Keval Bharati, Avinash Chand Yadav, Bal Chand Yadav, Ajeet Singh, Manish Pratap Singh, Santosh Kumar
    • Journal: Journal of Dispersion Science and Technology
    • Year: 2023

Randika Dodangodage | Atmospheric Science | Best Researcher Award

Dr. Randika Dodangodage | Atmospheric Science | Best Researcher Award

Dr. Randika Dodangodage at Old Dominion University, United States

👨‍🎓  Profiles

Early Academic Pursuits 🎓

Dr. Randika Dodangodage began his academic journey with a Bachelor of Science in Physics from the University of Sri Jayewardenepura, Sri Lanka, where he graduated with a second-class upper division in December 2014. His strong foundational knowledge in physics led him to further his studies at Old Dominion University, where he earned a Master of Science in Physics in March 2020 and is currently completing his PhD, expected in May 2024.

Professional Endeavors 💼

In his current role as a Post Doctoral Associate at Old Dominion University, Dr. Dodangodage focuses on analyzing laboratory spectra of molecules found in cool astronomical objects and data from Earth’s atmosphere measured by the ACE satellite. His previous experience includes working as a Research Assistant in molecular spectroscopy, where he contributed significantly under the supervision of Prof. Peter Bernath.

Contributions and Research Focus 🔬

Dr. Dodangodage’s research primarily centers on molecular spectroscopy and its applications in understanding atmospheres, both terrestrial and extraterrestrial. His work includes the development of line lists for various molecular systems, significantly advancing the field of spectroscopy and contributing valuable insights into the chemical composition of planetary atmospheres.

Impact and Influence 🌍

His research has garnered attention at international symposiums, where he has presented multiple papers, demonstrating the relevance of his work to global scientific communities. His contributions have not only enhanced the understanding of molecular behaviors in different environments but have also influenced ongoing research in atmospheric sciences.

Academic Cites 📚

Dr. Dodangodage has authored and co-authored several notable publications, including presentations at prominent conferences. His works, such as the LaO line list studies and infrared absorption cross sections of hydrocarbons, have been well-received in the scientific community, reflecting his expertise and the significance of his research.

Technical Skills 💻

Dr. Dodangodage possesses a diverse skill set, including proficiency in programming languages and software essential for his research, such as Matlab, Mathematica, Fortran, and Python. His ability to employ these tools effectively supports his research and contributes to his analytical capabilities.

Teaching Experience 🍎

Throughout his academic career, Dr. Dodangodage has also engaged in teaching. As a Teaching Assistant at both Old Dominion University and the University of Sri Jayewardenepura, he has contributed to educating the next generation of physicists, demonstrating a commitment to fostering academic growth in others.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Dodangodage aims to continue his impactful research in molecular spectroscopy and atmospheric studies. His dedication to scientific inquiry and education positions him to make significant contributions to the field, inspiring future researchers and enhancing our understanding of the universe.

📖 Top Noted Publications

Spectroscopy of Atmospheres

Author: Randika Dodangodage
Journal: Dissertation/Thesis
Year: 2024

The first satellite measurements of HFC-125 by the ACE-FTS: Long-term trends and distribution in the Earth’s upper troposphere and lower stratosphere

Author: R. Dodangodage et al.
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2024

S-type Stars: Line List for the A2Π–X2Σ+ Band System of LaO

Author: P. F. Bernath, R. Dodangodage, J. Liévin
Journal: The Astrophysical Journal
Year: 2023

Infrared absorption cross sections for propene broadened by N2 (450-1250 cm−1) and by H2 (2680-3220 cm−1)

Author: P. Bernath, R. Dodangodage, J. Zhao, B. Billinghurst
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2022

S-type Stars: LaO Line List for the B2Σ+–X2Σ+ Band System

Author: P. F. Bernath, R. Dodangodage, J. Liévin
Journal: The Astrophysical Journal
Year: 2022

Absorption cross sections of n-butane, n-pentane, cyclopentane and cyclohexane

Author: Randika Dodangodage et al.
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2022

The first remote-sensing measurements of HFC-32 in the Earth’s atmosphere by the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS)

Author: Randika Dodangodage
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2021

Absorption cross sections in the CH stretching region for propene broadened by helium and nitrogen

Author: Randika Dodangodage
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2021

HOCl retrievals from the Atmospheric Chemistry Experiment

Author: Randika Dodangodage
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2021

Absorption cross sections for ethane broadened by hydrogen and helium in the 3.3 micron region

Author: Randika Dodangodage
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
Year: 2020

Fernando López | Healthcare Data Analysis | Excellence in Research

Assoc Prof Dr. Fernando López | Healthcare Data Analysis | Excellence in Research

Assoc Prof Dr. Fernando López at Hospital Clinico Universitario – Universidad de Valencia, Spain

👨‍🎓  Profile

Early Academic Pursuits 🎓

Dr. Fernando López began his academic journey at the Universidad de Cádiz, where he earned his Licenciatura in Medicine and Surgery from 1987 to 1993. His dedication led him to further his education through the Official Doctoral Program in Medicine and Surgery at the Universitat de València, culminating in a doctoral degree awarded with “Sobresaliente cum laude” in 2001.

Professional Endeavors 🏥

Dr. López completed his specialized training in General Surgery and Digestive System Surgery via the MIR program at the Hospital Clínico Universitario de Valencia from 1995 to 2000. He currently serves as an Associate Professor in the Department of Surgery at the Universitat de València, where he has been actively involved since 2011.

Contributions and Research Focus 🔍

Dr. López has made significant contributions to surgical research, particularly in the context of the COVID-19 pandemic. He is a co-author of several influential articles addressing surgical risks and outcomes during this crisis, with particular emphasis on the integration of machine learning for risk prediction. His work has been published in leading journals, reflecting his commitment to advancing surgical practices.

Impact and Influence 🌍

His research has garnered considerable attention, with publications in both national and international journals totaling 35, including articles in high-impact publications such as the British Journal of Surgery. His collaborative work with the COVIDSurg Collaborative has had a meaningful impact on surgical protocols during the pandemic.

Academic Cites 📚

Dr. López’s research has resulted in a notable cumulative impact factor of 76.697 across his indexed publications, illustrating the significant reach and influence of his work in the academic community.

Technical Skills ⚙️

As an experienced surgeon, Dr. López possesses a robust set of technical skills, particularly in advanced trauma and emergency care. He has been involved in teaching various advanced trauma life support courses and has contributed to international workshops, underscoring his proficiency and commitment to surgical education.

Teaching Experience 👨‍🏫

In addition to his clinical practice, Dr. López has extensive teaching experience, having tutored 35 residents in General Surgery and Digestive Surgery. He has organized and led numerous courses and seminars, including advanced trauma support training, reflecting his passion for educating the next generation of surgeons.

Legacy and Future Contributions 🌱

Looking ahead, Dr. López aims to continue his research in surgical safety and education, leveraging his experience and expertise to foster advancements in the field. His ongoing commitment to mentoring residents and collaborating on impactful research will undoubtedly leave a lasting legacy in the surgical community.

📖 Top Noted Publications

 

Characteristics of gastrointestinal stromal tumors associated to other tumors, 2024

Characteristics of gastrointestinal stromal tumors associated to other tumors, 2024

Glasbey, J. C., Nepogodiev, D., COVIDSurg Collaborative. (2021). Death following pulmonary complications of surgery before and during the SARS-CoV-2 pandemic. British Journal of Surgery, 6, pp. 1-19.

LUCENTUM Project Researchers. (2021). Simplified risk-prediction for benchmarking and quality improvement in emergency general surgery: Prospective, multicenter, observational cohort study. International Journal of Surgery, 97, pp. 1-35.

Glasbey, J. C., Nepogodiev, D., COVIDSurg Collaborative. (2021). Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. British Journal of Surgery, 6, pp. 1-19.

Youxin Puan | Real-world Case Studies | Best Researcher Award

Dr. Youxin Puan | Real-world Case Studies| Best Researcher Award

Dr. Youxin Puan at Singapore General Hospital, Singapore

👨‍🎓  Profile

🌟 Summary

Dr. Puan Youxin is a dedicated physician specializing in Respiratory and Critical Care Medicine. With a strong academic background and extensive clinical experience, she is committed to improving patient outcomes through quality improvement initiatives and education.

🎓 Education

Dr. Puan obtained her MBBS from the University of Adelaide, Australia (2009 – 2014). Prior to that, she completed her GCE ‘A’ Level at Hwa Chong Institution, Singapore (2006 – 2007), after finishing the Integrated Programme at Nanyang Girls’ High School (2002 – 2005).

🏥 Professional Experience

She currently serves as a Senior Education Associate at Duke-NUS Medical School (2022 – Present) and is a Physician Faculty Member for the Singhealth PGY1 programme (2020 – Present). Dr. Puan completed her residency in Internal Medicine with Singhealth (2017 – 2019) and is undergoing specialist training in Respiratory and Critical Care Medicine (2020 – Present).

🏆 Accolades and Recognition

Dr. Puan achieved her MRCP (UK) from the Royal College of Physicians in 2019 and completed the Joint Committee of Specialist Training in Respiratory Medicine in 2023. Her honors include the University of Adelaide Summer Vacation Research Scholarship (2013), the Basil Hetzel Institute Research Scholarship (2012), and the Outstanding Student Award at Hwa Chong Institution (2008).

🔬 Research Interests

Her research focuses on respiratory diseases, particularly bronchiectasis and asthma management. Dr. Puan has published in esteemed journals and is actively involved in quality improvement projects aimed at enhancing the diagnosis and management of lung cancer and optimizing anticoagulation therapy.

📖 Top Noted Publications

Nebulizer versus metered dose inhaler with space chamber (MDI spacer) for acute asthma and chronic obstructive pulmonary disease exacerbation: attitudes of patients and healthcare providers in the COVID-19 era
    • Authors: Alsuwaigh, R., Cao, Y., Puan, Y., Liew, J., Tay, T.R.
    • Journal: Journal of Asthma
    • Year: 2023
Heterogeneity of non-cystic-fibrosis bronchiectasis in multiethnic Singapore: A prospective cohort study at a tertiary pulmonology centre
    • Authors: Young, S.L., Puan, Y., Chew, S.Y., Koh, M.S., Lee, K.C.H.
    • Journal: Annals of the Academy of Medicine, Singapore
    • Year: 2021
A 78-Year-Old Man With Recurrent Hemoptysis and Persistent Pulmonary Nodule
    • Authors: Chew, S.Y., Tan, C.S., Puan, Y., Koh, J.M.K.
    • Journal: Chest
    • Year: 2020

 

Kun Zhao | Alzheimer’s disease | Best Researcher Award

Dr. Kun Zhao | Alzheimer’s disease | Best Researcher Award

Dr. Kun Zhao at Beijing University of Posts and Telecommunications, China

👨‍🎓  Profiles

📝 Summary

Dr. Kun Zhao is a Postdoctoral Fellow at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications. He specializes in medical image processing and neurodegenerative diseases, with a focus on Alzheimer’s disease (AD) and the identification of early biomarkers through brain imaging.

🎓 Education

Dr. Zhao earned his PhD from [Your University Name] in [Year], where he also completed relevant degrees that laid the foundation for his research.

💼 Professional Experience

In his current role, Dr. Zhao leads various research projects funded by the National Natural Science Foundation of China and industry partners. He developed the iBrain system, which aids in the early detection of AD and has been validated in collaboration with leading hospitals.

🏆 Accolades and Recognition

Dr. Zhao has received numerous accolades, including the National Scholarship for Doctoral Students and the Outstanding Graduate award from Beihang University. He has successfully mentored students who have achieved significant competition wins, including the “Qi Yan” Project and accolades in the China International “Internet+” Innovation Competition.

🔬 Research Interests

His research interests encompass medical image processing, neurodegenerative diseases, biological mechanisms related to aging, and the advancement of multi-modal imaging techniques for early Alzheimer’s disease detection.

 

📖 Top Noted Publications

Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer’s disease: diagnosis, longitudinal progress and biological basis
    • Authors: Kun Zhao, Yanhui Ding, Ying Han, Yong Liu
    • Journal: [Not specified in the text]
    • Year: 2020
Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis
    • Authors: Kun Zhao, Qiang Zheng, Tongtong Che, Shuyu Li
    • Journal: [Not specified in the text]
    • Year: 2021
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
    • Authors: Kun Zhao, Qiang Zheng, Martin Dyrba, Shuyu Li
    • Journal: [Not specified in the text]
    • Year: 2022
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
    • Authors: Kun Zhao, Pindong Chen, Aaron Felix Alexander-Bloch, Yong Liu
    • Journal: [Not specified in the text]
    • Year: 2023
Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer’s disease
    • Authors: Kun Zhao, Dawei Wang, Dong Wang, Yong Liu
    • Journal: [Not specified in the text]
    • Year: 2024

Songkeart Phattarapattamawong | Technology development | Best Researcher Award

Assoc Prof Dr. Songkeart Phattarapattamawong | Technology development | Best Researcher Award

Assoc Prof Dr. Songkeart Phattarapattamawong at King Mongkut’s University of Technology Thonburi, Thailand

👨‍🎓  Profiles

📚 Education

Assoc. Prof. Dr. Songkeart Phattarapattamawong holds a Ph.D. in Urban Management from Kyoto University, Japan (MEXT Scholarship), an M.Eng. in Environmental Engineering and Management from the Asian Institute of Technology, Thailand (Royal Scholarship), and a B.Eng. in Environmental Engineering from King Mongkut’s University of Technology Thonburi, Thailand (1st Class Honours).

🏆 Accolades and Recognition

Dr. Phattarapattamawong has received numerous awards, including the 1st place in the Energy Research Proposal Contest (2024) and multiple medals at the Japan Design, Idea & Invention Expo (2019). He was also honored with the Thai Royal Decoration in 2020 and has secured significant research grants from prestigious organizations like the National Research Council of Thailand.

👔 Professional Experience

Currently, he serves as an Associate Professor in the Department of Environmental Engineering at King Mongkut’s University of Technology Thonburi (2020 – Present) and as the Chairperson of the International B.Eng. Program in Environmental Engineering (2019 – Present). His past roles include Postdoctoral Fellow at Kyoto University and Business Advisor at Thai Isekyu Co.Ltd..

🔬 Research Interests

His research interests include Water Treatment and Reclamation, Adsorption and Advanced Oxidation Processes, Emerging Pollutant Control, and Waste Resource Recovery, as well as Circular and Green Economy Management.

 

📖 Top Noted Publications

Development of the novel advanced electrooxidation process for decolorization of recalcitrant dyes (Methylene Blue, Rhodamine B, Congo Red): Effect of operating factors

    • Authors: Thanaree Dokpikul, Jiratchaya Umpanhorm, Thanyamas Choldhichanand, Pannika Duangkaew, Songkeart Phattarapattamawong
    • Journal: Environmental Advances
    • Volume: 2024
    • Issue: TBD
    • Pages: TBD
    • Year: 2024

Effect of propionate-cultured sludge augmentation on methane production from upflow anaerobic sludge blanket systems treating fresh landfill leachate

    • Authors: Pinpatthanapong, Khathapon; Puengpraput, Tunyaporn; Phattarapattamawong, Songkeart; Phalakornkule, Chantaraporn; Panichnumsin, Pornpan; Boonapatcharoen, Nimaradee; Paensiri, Phimchaya; Malila, Kanokwan; Ponata, Nattapong; Ngamcharoen, Thakrit et al.
    • Journal: Science of the Total Environment
    • Volume: 2023
    • Issue: TBD
    • Pages: TBD
    • Year: 2023

Global assessment of chemical quality of drinking water: The case of trihalomethanes

    • Authors: Villanueva, Cristina M.; Evlampidou, Iro; Ibrahim, Fathelrahman; Donat-Vargas, Carolina; Valentin, Antonia; Tugulea, Anca-Maria; Echigo, Shinya; Jovanovic, Dragana; Lebedev, Albert T.; Lemus-Perez, Mildred et al.
    • Journal: Water Research
    • Volume: 2023
    • Issue: TBD
    • Pages: TBD
    • Year: 2023

Synergistic degradation of trimethoprim and its phytotoxicity via the UV/chlorine process: Influencing factors on removal and kinetic

    • Authors: Siriluk Ekwong; Jarungwit Boonnorat; Kun-Yi Andrew Lin; Songkeart Phattarapattamawong
    • Journal: Journal of Environmental Science and Health, Part A
    • Volume: 2023
    • Issue: 3
    • Pages: 218-229
    • Year: 2023

Nitrogen-containing carbon hollow nanocube-confined cobalt nanoparticle as a magnetic and efficient catalyst for activating monopersulfate to degrade a UV filter in water

    • Authors: Duong Dinh Tuan; Kwon, Eilhann; Phattarapattamawong, Songkeart; Bui Xuan Thanh; Ta Cong Khiem; Lisak, Grzegorz; Wang, Haitao; Lin, Kun-Yi Andrew
    • Journal: Journal of Environmental Chemical Engineering
    • Volume: 2022
    • Issue: 10
    • Pages: 106989
    • Year: 2023

Propionate-cultured sludge bioaugmentation to enhance methane production and micropollutant degradation in landfill leachate treatment

    • Authors: Pinpatthanapong, Khathapon; Panichnumsin, Pornpan; Phalakornkule, Chantaraporn; Phattarapattamawong, Songkeart; Treesubsuntorn, Chairat; Boonapatcharoen, Nimaradee; Ketbuppha, Kanjana; Phanwilai, Supaporn; Boonnorat, Jarungwit
    • Journal: Bioresource Technology
    • Volume: 2022
    • Issue: 349
    • Pages: 127241
    • Year: 2022