Anna Gui | Experimental Design | Best Researcher Award

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Anna Gui | Experimental Design | Best Researcher Award

Dr Anna Gui, University of Essex, United Kingdom

Dr. Anna Gui is a Lecturer in Psychology at the University of Essex, UK. She earned her PhD in Psychology from Birkbeck, University of London, with a thesis on social attention in Autism Spectrum Disorder. Dr. Gui’s postdoctoral research at Birkbeck explored neurodevelopmental trajectories using neuroimaging and genetic data. She has numerous publications in high-impact journals, focusing on the neurobiology of social development and autism. Additionally, she has received several prestigious grants and awards, and actively engages in public science communication and event organization. 🌟📚🧠

Publication profile

google scholar

orcid

Education

From 2015 to 2019, He pursued a PhD in Psychology at Birkbeck, University of London, with a thesis on the role of social attention in the causal path to Autism Spectrum Disorder, supervised by Prof. M.H. Johnson, Prof. E.J.H. Jones, and Dr. E. Meaburn. 🌟 During this time, He undertook a secondment at the Geschwind lab at UCLA, focusing on genotype data pre-processing. Earlier, He completed an MSc in Cognitive Science at the University of Trento (2013-2015), with internships in EEG data analysis at the Donders Institute and behavioral testing at Université Paris Descartes. 📚 Prior to this, I earned a Master’s in Child Rehabilitation from the University of Modena and Reggio-Emilia, with a thesis on visual and motor function integration, including an internship in neonatal behavioral assessment at the University Hospital of Padova. 👶 My academic journey began with a BSc in Neurological and Psychomotor Therapy at the University of Padova. 🎓

Experience

Since February 2024, He have been the primary BSc dissertation supervisor at the University of Essex, UK 📚. He have also served as a secondary PhD supervisor since October 2022 📖. From June to August 2022, He supervised undergraduate placement students at Birkbeck College, London 🏙️. Between August 2016 and March 2023, He was a research supervisor at Birkbeck College, overseeing 3 PhD students, 1 postgraduate student, 5 undergraduate students, and 4 research assistants 🎓. As an academic mentor during 2021-2022, I supported the Compass Project for Sanctuary Students. Currently, He lecture at the University of Essex and previously lectured at Birkbeck College 🎤.

Awards

He have been involved in various research projects and academic roles that highlight my dedication to developmental science and cognitive neuroscience. Notably, He am a co-investigator on an MRC iCASE Doctoral Training Partnership grant, mapping attentive brain states to support parent-child interaction in autism (£129,555, 2023-2027) 🧠. As the principal investigator, He led the STRIDES series to tackle racism in developmental science (£2,450, 2022-2023) 🌍 and investigated neuroadaptive optimisation in parent-child interactions (£4,515, 2022-2023) 👪. My teaching experience includes supervising dissertations at the University of Essex and lecturing on cognitive neuroscience and neuropsychology 📚. Additionally, He have been a mentor for the Compass Project for Sanctuary Students at Birkbeck College 🌟.

Research focus

Dr. Antonia Gui’s research primarily focuses on early developmental processes, particularly in infants, with a strong emphasis on social attention, face processing, and neuroadaptive methodologies. Her work explores how these early behaviors and neural responses may elucidate pathways to conditions like autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Using a variety of behavioral studies and advanced neuroscientific techniques, Dr. Gui investigates genetic, epigenetic, and environmental factors influencing developmental trajectories in social cognition and motor skills. He research contributes significantly to understanding individual differences in infancy, aiming to improve early detection and intervention strategies 🧠👶.

Publication top notes

Face processing in early development: a systematic review of behavioral studies and considerations in times of COVID-19 pandemic

Look duration at the face as a developmental endophenotype: elucidating pathways to autism and ADHD
Attentive brain states in infants with and without later autism

Social attention: What is it, how can we measure it, and what can it tell us about autism and ADHD?

Leveraging epigenetics to examine differences in developmental trajectories of social attention: A proof-of-principle study of DNA methylation in infants with older siblings …

Development of the pupillary light reflex from 9 to 24 months: association with common autism spectrum disorder (ASD) genetic liability and 3‐year ASD diagnosis

Proving and improving the reliability of infant research with neuroadaptive Bayesian optimization

Association of polygenic liability for autism with face-sensitive cortical responses from infancy

Children’s total blindness as a risk factor for early parent-child relationships: Preliminary findings from an Italian sample

Neuroadaptive electroencephalography: a proof-of-principle study in infants

 

Chuanxi Liu | Cross-disciplinary Synthesis | Cross-disciplinary Excellence Award

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Chuanxi Liu | Cross-disciplinary Synthesis | Cross-disciplinary Excellence Award

Mr Chuanxi Liu, State Nuclear Power Information Technology Company.LTD, China

Chuanxi Liu is a prolific researcher with a strong background in astrophysics and artificial intelligence. He has co-authored pivotal papers on Gamma-Ray Burst (GRB) X-Ray flare properties and statistical studies of Swift X-Ray Flash and X-Ray Rich GRBs. Liu’s contributions to electric power technology include developing neural network algorithms for waveform data processing and using image processing techniques for fault detection. He has also innovated in wind power inspection with advancements in oil leakage detection and crack recognition. His notable achievements include a patent on traveling wave ranging and success in the Shandong Provincial AI Competition. 📡🛰️💡💻🔍

Publication profile

scopus

Education

I earned my BSc in Applied Physics from Shandong Jianzhu University, studying from September 2011 to June 2015. During my time there, I took a variety of courses including Thermodynamics, Mechanics, Optics, Electromagnetism, and Quantum Mechanics 📚. My coursework also covered Higher Mathematics, Linear Algebra, Statistics and Probability Theory, Theoretical Mechanics, Machining Drawing, and Fundamentals of Digital and Analog Circuit Technology 📐. Following this, I pursued an MSc in Astrophysics at the University of Chinese Academy of Sciences from September 2015 to June 2019. My graduate studies included courses such as Image Processing, Semiconductor Device Physics, and Astronomical Data Processing 🌌. I also gained expertise in Numerical Simulation Methods for Magnetohydrodynamics and used Linux systems and the Astronomy Software Package IDL for my research 🖥️.

Experience

From September 2015 to June 2019, I pursued a Master of Science at Yunnan Observatory, where I conducted extensive research on gamma-ray bursts. My work involved analyzing their spectra and light to validate astrophysical models. During this period, I co-authored several papers, including “GRB X-Ray Flare Properties among Different GRB Subclasses” published in the Astrophysical Journal in 2019 📚, and “Statistical Study of the Swift X-Ray Flash and X-Ray Rich Gamma-Ray Bursts” in 2018 🌟. Additionally, I contributed to the “Research Progress of GRB X-Ray Flare” in Progress in Astronomy in 2020 🌌.

Research focus

Liu, C., involved in multiple research areas, appears to have a diverse focus. In the field of object detection, Liu contributes to enhancing detection techniques through the development of the TBFF-DAC model, which leverages deformable attention and convolution for improved feature fusion 🤖. Additionally, Liu is engaged in electrical engineering, specifically in fault location methods for railway systems, utilizing non-contact measurements 🚄. In the realm of astrophysics, Liu explores the properties of gamma-ray bursts and X-ray flares, analyzing their characteristics across different subclasses 🌌. This multidisciplinary approach underscores Liu’s expertise in both technological advancements and astrophysical phenomena.

Publication top notes

TBFF-DAC: Two-branch feature fusion based on deformable attention and convolution for object detection

Research on Traveling Wave Fault Location Method of Railway Automatic Blocking/Power Continuous Line Based on Noncontact Measurement

GRB X-Ray Flare Properties among Different GRB Subclasses

Statistical Study of the Swift X-Ray Flash and X-Ray Rich Gamma-Ray Bursts

Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

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Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

Mrs Mediatrice NIYONSABA, Rwanda Biomedical center, Rwanda

Mediatrice Niyonsaba is a dedicated health professional and researcher. Currently a second-year Master’s student in Epidemiology at the University of Rwanda, she holds a Bachelor’s degree in Anesthesia from the same institution. Since 2012, she has served as an anesthesia clinical officer at RBC/SAMU 🚑. Her research includes co-authoring a study on motorcycle crash epidemiology in Kigali and assisting in several projects, including those on anemia in trauma, substance abuse screening, and the impact of COVID-19 on CNS injuries. She is the lead author of a study on mHealth tools in prehospital care, published in the African Journal of Emergency Medicine 📚.

Publication profile

scupos

Education

Since November 2021, she have been pursuing a Master of Science in Epidemiology at the University of Rwanda’s College of Medicine and Health Sciences 📚. I previously earned a Bachelor’s degree in Anesthesia from the same university (2015-2017) 🎓. My professional journey includes working as an anesthesia clinical officer at RBC/SAMU (Service d’Aide Medicale d’Urgence) since November 2012 🏥. Before that, I taught Biology at SAKE Secondary School from January to November 2009 👩‍🏫.

Experience

Since January 2019, I’ve been part of the SAMU team collaborating with Utah University to develop and pilot test a mobile health communication tool (912 m Health tool) aimed at enhancing emergency medical services 🚑. I co-authored “Epidemiology and prehospital care of motorcycle crashes in Kigali, Rwanda,” published in November 2019 🏍️. From January to April 2020, I was a research assistant for the Kigali Anemia in Trauma and Transfusion Study at CHUK 🏥. Between August 2020 and September 2021, I assisted in adapting screening instruments for detecting alcohol and drug abuse in Rwanda using ACASI 🍷💊. In late 2021, I contributed to research on the impact of COVID-19 on CNS injury treatment and outcomes 🧠. Recently, I authored “Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an m Health platform,” published in the African Journal of Emergency Medicine in September 2023 📚.

Research focus

Dr. Sharmistha Jayaraman’s research focuses primarily on improving prehospital emergency care and trauma management in low-resource settings, particularly in Rwanda. Her studies encompass various aspects of emergency medical services (EMS), including challenges in locating emergency scenes 🚑, enhancing efficiency through m Health platforms 📱, neurotrauma management 🧠, and the epidemiology of trauma, such as motorcycle crashes 🏍️. Additionally, Dr. Jayaraman investigates the initial management of traumatic brain injuries and factors influencing HIV testing among emergency patients. Her work aims to improve healthcare outcomes by addressing critical gaps in prehospital care and emergency response systems in Sub-Saharan Africa.

Publication top notes

Challenges Locating the Scene of Emergency: A Qualitative Study of the EMS System in Rwanda

Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda

Trends in Neurotrauma Epidemiology, Management, and Outcomes during the COVID-19 Pandemic in Kigali, Rwanda

Factors associated with HIV testing among patients seeking emergent injury care in Kigali, Rwanda

The Initial Prehospital Management of Traumatic Brain Injuries in Kigali, Rwanda

The epidemiology and prehospital care of motorcycle crashes in a sub-Saharan African urban center

Data-driven prehospital training to decrease motorcycle crash deaths in a Sub-Saharan African urban center

 

Frontier Hypothesis Award

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Frontier Hypothesis Award

Introduction:

Welcome to the Frontier Hypothesis Award—a celebration of innovative thinking and daring hypotheses that drive scientific discovery and exploration to new frontiers.

About the Award:

The Frontier Hypothesis Award honors researchers who challenge conventional wisdom and propose novel hypotheses that have the potential to revolutionize their fields. This award highlights the importance of bold ideas in advancing human understanding and shaping the future of research.

Eligibility:

  • Age Limit: Open to researchers of all ages.
  • Qualification: Candidates should demonstrate a capacity for original thinking and hypothesis formulation.
  • Publications: Applicants may submit unpublished hypotheses or those supported by preliminary evidence.
  • Requirements: Nominees must adhere to submission guidelines and criteria outlined below.

Evaluation Criteria:

Submissions will be evaluated based on the novelty, significance, and potential impact of the proposed hypothesis. Additionally, feasibility, clarity of presentation, and potential for future research avenues may also be considered.

Submission Guidelines:

  • Submissions should include a clear and concise description of the hypothesis, along with any supporting evidence.
  • Nominees must adhere to the specified format and submission deadline.
  • Detailed guidelines are available on the official award website.

Recognition:

Recipients of the Frontier Hypothesis Award will receive recognition for their visionary thinking and potential to shape the future of their respective fields. This includes opportunities for collaboration, funding, and further exploration of their hypotheses.

Community Impact:

The award aims to inspire a culture of innovation and exploration within the research community. Recipients serve as ambassadors for bold thinking, encouraging others to push the boundaries of knowledge and pursue new frontiers in their own work.

Biography:

Applicants are encouraged to provide a brief biography highlighting their research interests, academic background, and previous contributions to their field. This contextualizes their submission and underscores their capacity for hypothesis generation.

Abstract and Supporting Files:

Each submission must include a clear and compelling abstract summarizing the proposed hypothesis and its potential implications. Any supporting files, such as preliminary data or references, should be included to provide additional context and evidence for the hypothesis.

Innovative Research Award

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Innovative Research Award

Introduction:

Welcome to the Innovative Research Award, celebrating groundbreaking contributions to advancing knowledge and driving progress in diverse fields. This prestigious award recognizes pioneers who push the boundaries of innovation, fostering a culture of exploration and excellence.

About the Award:

The Innovative Research Award honors individuals or teams for their outstanding contributions to research, emphasizing creativity, impact, and originality. From pioneering discoveries to transformative insights, this award celebrates those who redefine what's possible.

Eligibility:

  • Open to researchers worldwide
  • No age limits
  • Candidates must hold a relevant academic qualification
  • Must have a track record of impactful publications
  • Research must demonstrate innovation and significance

Recurrence:

Annual

Evaluation Criteria:

  • Originality and innovation
  • Impact on the field
  • Methodological rigor
  • Potential for future applications

Submission Guidelines:

  • Submit a comprehensive research proposal
  • Include supporting documents such as publications and references
  • Follow the specified format and submission deadlines

Recognition:

Winners receive a prestigious award certificate, a monetary prize, and widespread recognition within the research community.

Community Impact:

The Innovative Research Award aims to inspire and empower researchers to tackle global challenges, driving positive change and fostering collaboration across disciplines.

Biography:

Provide a brief biography highlighting your academic background, research interests, and notable achievements.

Abstract and Supporting Files:

Include a detailed abstract outlining the research project's objectives, methodology, and expected outcomes. Submit supporting files such as publications, datasets, and additional documentation to substantiate your proposal.