Elisabete Barreiro | Mathematics | Best Researcher Award

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Elisabete Barreiro | Mathematics | Best Researcher Award

Prof Elisabete Barreiro, University of Coimbra, Portugal

Maria Elisabete Félix Barreiro is a distinguished mathematician specializing in Pure Mathematics, known for her research on Quadratic Lie Superalgebras and applications of harmonic maps. Currently a Professor at the University of Coimbra, Portugal, she holds a PhD and MSc in Mathematics from Portuguese universities. With a career spanning over two decades in academia, she has contributed significantly to the field through her teaching and research, supported by grants including from the Fundação para a Ciência e a Tecnologia. Barreiro’s work continues to advance understanding in her domain, making her a respected figure in mathematical circles. 📊

Publication profile

google scholar

Teaching

Maria Elisabete Félix Barreiro has been an esteemed member of the University of Coimbra’s Faculty of Sciences and Technology since 1991. She began her academic career as an Assistant Trainee, a role she held until 1997. She then advanced to the position of Assistant, where she served for a decade until 2007. Since then, Maria has been a dedicated Assistant Professor at the university, contributing significantly to the academic community. Her long-standing commitment and passion for education have made her a respected figure at the University of Coimbra 📚👩‍🏫🎓.

Awards

In 1991, the Universidade de Coimbra’s Departamento de Matemática in Portugal honored an exceptional achievement with the Prémio Doutor João Farinha 🏆. Adding to this legacy of excellence, in 2023, an article titled “Quadratic symplectic Lie superalgebras with a filiform module as an odd part” was distinguished as an Editor’s Pick by the Journal of Mathematical Physics 📜✨. This recognition highlights the continued contributions to mathematical physics and the ongoing pursuit of knowledge and innovation within the academic community 🔍📘.

Research focus

E. Barreiro’s research predominantly focuses on algebraic structures, particularly Lie algebras and their various generalizations, including Lie superalgebras, Leibniz bialgebras, and Poisson algebras. This includes the study of quadratic Lie superalgebras, symplectic structures, and the classification of nilpotent algebras. Their work often intersects with geometric and physical applications, exploring the algebraic underpinnings of symmetries and their associated transformations. Additionally, Barreiro investigates homogeneous and antiassociative quasialgebras, providing a deeper understanding of algebraic operations and mappings within these complex structures.

🧮🔍🔢📚🔗✨

Publication top notes

Randomized, phase I/II study of gemcitabine plus IGF-1R antagonist (MK-0646) versus gemcitabine plus erlotinib with and without MK-0646 for advanced pancreatic adenocarcinoma

Odd-quadratic Lie superalgebras

Quadratic Lie superalgebras with a reductive even part

Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras

A new approach to Leibniz bialgebras

Split Lie–Rinehart algebras

Quadratic symplectic Lie superalgebras and Lie bi-superalgebras

The classification of nilpotent Lie-Yamaguti algebras

Leibniz triple systems admitting a multiplicative basis

Derivations of the Cheng–Kac Jordan superalgebras

Quadratic Malcev superalgebras with reductive even part

 

 

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

 

João Luiz do Vale | Engineering and Technology | Best Researcher Award

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João Luiz do Vale | Engineering and Technology | Best Researcher Award

Dr João Luiz do Vale, UTFPR, Brazil

João Luiz do Vale, born on June 24, 1980, in Curitiba/PR, Brazil, is an accomplished mechanical engineer specializing in tribology and materials engineering 🌟. He holds a PhD in Mechanical Engineering from the Universidade Tecnológica Federal do Paraná (UTFPR) 🎓, where he is a dedicated professor 🧑‍🏫. With extensive experience in the metal-mechanical industry, João has contributed significantly to research on surface treatments and the tribological behavior of cast irons, as well as the application of finite element methods in machine elements 🛠️.

Publication profile

scopus

Education

From 2014 to 2016, He pursued a PhD in Mechanical and Materials Engineering at the Federal University of Technology – Paraná (UTFPR), Curitiba, Brazil, focusing on the influence of cast iron microstructure on folded metal occurrence and the tribological behavior of honed surfaces 🏫. My dissertation, supervised by Giuseppe Pintaude with co-advisor Carlos Henrique da Silva, emphasized friction, wear, and honing 📚. Prior, He completed a Master’s degree (2013-2014) on the tribological behavior of PTFE sliding against stainless steel without lubrication, also at UTFPR, under Carlos Henrique da Silva’s guidance 🛠️. Since 2014, I’ve been a full-time professor at UTFPR, teaching courses such as Technical Drawing and Mechanical Elements 📐👨‍🏫.

Research focus

João Luiz do Vale’s research primarily focuses on tribology, the study of friction, wear, and lubrication of interacting surfaces in relative motion. His work encompasses a variety of applications, including the performance of lubricants, the tribological behavior of different materials, and the impact of additives. He has extensively studied the friction coefficients, wear resistance, and tribological properties of materials like graphite and bronze-filled PTFE, as well as cast irons used in cylinder liners. His research contributes to improving material performance and durability in mechanical systems, particularly in automotive and industrial applications. 🛠️🧪🔍

Publication top notes

Techniques for mitigating the checkerboard formation: application in bone remodeling simulations

Impact of ethanol on lubricant additive performance at Piston Ring-Cylinder Liner Interface

Energetic coefficient of friction applied to cylinder liners lab tests

Kinetic friction coefficient modeling and uncertainty measurement evaluation for a journal bearing test apparatus

Effect of Graphite and Bronze Fillers on PTFE Tribological Behavior: A Commercial Materials Evaluation

Tribological performance assessment of lamellar and compacted graphite irons in lubricated ring-on-cylinder test

Evaluation of the error of the light beam incidence on concave surfaces in 3D roughness parameters using optical interferometry

Comparison of scratch resistance of lamellar and compacted graphite irons used in cylinder liners

Effect of graphite on folded metal occurrence in honed surfaces of grey and compacted cast irons

 

Seema Garg | Medical Hypotheses | Best Researcher Award

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Seema Garg | Medical Hypotheses | Best Researcher Award

Dr Seema Garg, University College of Medical Sciences, India

Dr. Seema Garg (b. January 29, 1973) is a distinguished Professor of Biochemistry at the University College of Medical Sciences and GTB Hospital, Delhi, with over 20 years of experience. An ardent advocate for value-based education and ethical research, she specializes in diabetes, thyroid disorders, and metabolic diseases. Dr. Garg has played pivotal roles in various esteemed institutions, including AIIMS Nagpur, where she established the Biochemistry department and managed COVID-19 ward facilities. Her scholarly contributions include 35+ publications and a copyright for the OSLER model in clinical biochemistry. She actively engages in social work and is a member of several professional bodies. 📚🔬✨

Publication profile

scopus

Education

Dr. Seema Garg currently serves as a Professor in the Department of Biochemistry at the University College of Medical Sciences and GTB Hospital, Delhi 🏥. Holding an MBBS and an MD in Biochemistry from PGIMS, Rohtak 🎓, Dr. Seema Garg has specialized training in Laboratory Quality Management and Internal Audit according to ISO 15189 guidelines 🧪. Additionally, Dr. Seema Garg has completed courses in Administrative and Financial Skills, as well as Medical Education Technologies and Curriculum Implementation Support Program 📚. With a strong foundation in both clinical practice and educational methodologies, Dr. Seema Garg is dedicated to advancing medical science and education 🌟.

Experience

Dr. Seema Garg, MD in Biochemistry, boasts over 20 years of distinguished experience across prestigious institutions such as AIIMS Nagpur, Pt BDS, PGIMS Rohtak, and University College of Med Sciences, Delhi. As Head of the Biochemistry department at AIIMS Nagpur, she pioneered its establishment amidst managing Covid Ward facilities during the pandemic. Dr. Garg is deeply committed to medical education, supervising numerous MD theses and advocating for undergraduate research exposure. Her research interests span biomarkers in diabetes, metabolic syndrome, cardiovascular diseases, and thyroid disorders, alongside clinical chemistry, nutrition, and oncology. She holds accolades including best poster awards and copyrights, and actively engages in editorial roles, course development, and reviewing for esteemed journals and institutions. 🏥

Awards

In 1990, she was honored with a scholarship during my senior secondary education, marking a pivotal moment in my academic journey. Years later, in 2012, she received a prestigious travel grant from UGC to attend an international conference, broadening my global perspectives. The year 2014 brought another achievement as I was recognized for presenting the Best Poster at ACBI, showcasing my dedication to scientific communication. More recently, in 2020, she secured a copyright for the OSLER model, a significant milestone in the field of clinical biochemistry (Copyright no. L-92593/2020 dated 06/07/2020). 🎓 These milestones reflect my ongoing commitment to academic excellence and innovation in my field.

Research focus

Dr. Mehndiratta’s research primarily focuses on obstetrics and gynecology, with a particular interest in maternal health issues such as preterm labor and pregnancy-related complications. His studies often explore biomarkers and physiological factors influencing maternal and fetal outcomes, including vitamin D insufficiency and its implications. Dr. Mehndiratta’s work contributes to understanding and managing conditions like preterm prelabor rupture of membranes (PPROM) in pregnant Indian women. 🤰 His research underscores the importance of proactive healthcare interventions to improve maternal and neonatal health during pregnancy, emphasizing preventive strategies and early detection through biomarker studies.

Publication top notes

25-Hydroxyvitamin D Insufficiency in Pregnant Indian Women and the Development of Preterm Prelabour Rupture of Membranes

COVID-19 transmission: A positive perspective

The study of ischemia modified albumin as an early biomarker of epilepsy in adolescent population: A cross-sectional study

Evaluation of maternal plasma platelet activating factor acetylhydrolase activity and mRNA expression in pre-eclampsia: a case control study

Association of apolipoprotein A-V with mRNA expression of IL-6 and NF-κB genes in type 2 diabetes with hypertriglyceridemia: a possible link with inflammation

Interrelationship between nuclear factor-erythroid-2-related factor 2, NADPH quinone oxidoreductase and lipoprotein-associated phospholipase A2 expression in young patients of metabolic syndrome

Role of Survivin and p53 Expression in Response of Primary Culture of Ovarian Cancer Cells to Treatment with Chemotherapeutic Agents

Relationship of serum apolipoprotein A-V levels, oxidative stress and inflammatory biomarkers with hypertriglyceridemia in type 2 diabetes mellitus

Effect of obesity and glycated hemoglobin on oxygen saturation in ambulatory type 2 diabetic individuals: A pilot study

Hsuan-Wei Liu | Medical Hypotheses | Best Researcher Award

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Hsuan-Wei Liu | Medical Hypotheses | Best Researcher Award

Ms Hsuan-Wei Liu, China Medical University, Taiwan

Ms. Hsuan-Wei Liu is a dedicated researcher specializing in orthopedics and geriatrics, focusing on the effects of resistance training with elastic bands on bone mineral density, body composition, and osteosarcopenic obesity in elderly women. Her meta-analysis highlights significant improvements in skeletal health and obesity-related metrics through targeted exercise interventions. Ms. Liu’s work underscores her commitment to advancing knowledge in geriatric orthopedics, aiming to enhance quality of life for aging populations. 📊

Publication profile

orcid

scopus

Research focus

Hsiu-Wei Liu’s research primarily focuses on the impact of resistance training and physical exercise on musculoskeletal health, particularly in elderly populations. Their work includes systematic reviews and meta-analyses on how resistance training, including the use of elastic bands, affects bone mineral density, body composition, and conditions like osteosarcopenic obesity. This indicates a strong emphasis on rehabilitation and preventive care in orthopedics and geriatrics. Liu’s research is crucial for improving the quality of life and functional independence in aging individuals, aligning with the fields of sports science, orthopedics, and gerontology. 🏋️‍♀️🦴👵🔬

Publication top notes

Resistance training in patients with total knee arthroplasty: A systematic review and meta-analysis

Effects of resistance training with elastic bands on bone mineral density, body composition, and osteosarcopenic obesity in elderly women: A meta-analysis

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

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

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Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Dr Surya Chelikani, Quinnipiac University, United States

Dr. Surya Chelikani is an accomplished educator and researcher in finance, specializing in corporate finance, asset pricing, and market microstructure. With a Ph.D. from Oklahoma State University, he serves as an Associate Professor at Quinnipiac University. His expertise extends to both academic and corporate realms, with prior experience in engineering and consultancy. Dr. Chelikani’s research investigates topics such as market integration and regulatory impacts on financial markets. Recognized for his teaching excellence, he has received prestigious awards and consistently high evaluations. 📚💼🏅

Publication profile

google scholar

Education

After completing a Bachelor’s in Mechanical Engineering from Andhra University (India) in 1981, I pursued an M.B.A in General Management from the University of Central Oklahoma in 2003. Building upon this foundation, I obtained my Ph.D. in Finance from Oklahoma State University in 2010. 🎓 This educational journey reflects a diverse range of interests and expertise, blending technical skills with financial acumen. From engineering principles to the intricacies of financial markets, each step has contributed to a well-rounded perspective and a dedication to continuous learning and growth.

Experience

As an academic, I’ve dedicated years to teaching and shaping minds. Beginning as an Instructor at Oklahoma State University, I’ve covered various financial courses, earning commendable teaching evaluations. My journey progressed to Quinnipiac University, where I advanced from Assistant Professor to Associate Professor, fostering a dynamic learning environment. Alongside academia, I’ve also ventured into the corporate realm. As a partner in multiple enterprises spanning cold welding, systems programming, and consultancy for cement plants, I’ve honed practical insights that complement my academic endeavors. Balancing academia with real-world experience has enriched my professional journey, ensuring a holistic approach to education. 📚💼

Awards

In the realm of academia, achievements often serve as milestones of dedication and excellence. Such is the case for Surya Chelikani, whose academic journey has been adorned with accolades. Notably,  clinched the coveted Outstanding Graduate Teaching Associate award in Finance, an honor bestowed upon  in both 2006 and 2007—a feat unmatched by any other recipient. Securing a four-year assistantship from the Department of Finance further underscores [his/her/their] commitment and proficiency. [His/Her/Their] consistent presence on the President’s List throughout  MBA years reflects [his/her/their] unwavering academic prowess. Membership in esteemed societies like Delta Mu Delta and the Golden Key national honor society epitomizes scholarly excellence and distinction. 🎓

Research focus

S Chelikani’s research primarily focuses on financial economics, particularly in areas related to market efficiency, regulatory impacts, and financial contagion. Chelikani has explored the effects of regulatory changes such as Sarbanes-Oxley and Regulation Fair Disclosure on market integration and efficiency. Additionally, their work delves into the implications of financial crises, such as the 2008 financial crisis, on various financial sectors, including the Turkish financial sector and hedge funds. Their studies often employ quantitative methods like cointegration analysis to examine market dynamics and investor behavior.

🔍📊💹📉📈

Publication top notes

Financial crisis and contagion: The effects of the 2008 financial crisis on the Turkish financial sector

The impact of Sarbanes-Oxley on market efficiency: evidence from mergers and acquisitions activity

GASB mandatory disclosure rules and municipal bond yield spreads

Implied volatility spread and stock mispricing

The Hedge Fund Industry’s Market Timing Ability and Role in Financial Contagion: Evidence from the Strategic Response to the 2008 Financial Crisis

The Effect of Regulation Fair Disclosure on Market Integration

Past stock returns and the MAX effect

Volatility feedback effect and risk-return tradeoff

The impact of insider ownership level on equity market timing decisions

State-dependent intertemporal risk-return tradeoff: Further evidence

Revisiting the ICAPM under the distortion of risk–return tradeoff in short‐horizon stock returns

Cointegration Analysis of the Effect of Decimalization on Market Equilibrium and Price Discovery

Neda Fatima | Cross-disciplinary Synthesis | Women Researcher Award

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Neda Fatima | Cross-disciplinary Synthesis | Women Researcher Award

Dr Neda Fatima, Manav Rachna International Institute of Research and Studies, India

🌟 Dr. Neda Fatima, an accomplished Knowledge Engineer, aspires to innovate SMART devices in CSE and IT via IoT. With 6 years’ experience as an Assistant Professor, she’s adorned with accolades like NET and GATE qualifications, PhD, and numerous research papers. Adept in AI, ML, Data Science, and IoT, she’s mentored in hackathons and workshops, showcasing expertise in academia and industry. Passionate about education, she’s won awards, led cultural events, and demonstrated leadership as a Placement Coordinator. With a Ph.D. from JMI, she’s a dynamic professional excelling in both academics and extracurriculars. 🚀

Publication profile

google scholar

Education

Dr Neda Fatima, a distinguished scholar, proudly holds a Ph.D. from Jamia Millia Islamia (JMI), an achievement recognized and awarded for its excellence. Their academic journey showcases a remarkable trajectory, marked by stellar accomplishments. With a Master’s in Technology from JMI, attained in 2019 with a remarkable CGPA of 9.52, and a Bachelor’s in Technology from the same esteemed institution in 2015, where they graduated with a notable CPI of 9.13. Their linguistic prowess is equally impressive, having completed an Advanced Diploma in Spanish, considered equivalent to a Spanish degree, from JMI in 2015, where they excelled as the course topper. Additionally, they showcased their linguistic flair by topping courses in Portuguese as well. Their academic brilliance traces back to their school days, where they consistently shone. In 2010, they secured a first division in their XII CBSE examinations from Delhi Public School, R.K. Puram, with a focus on Physics, Chemistry, Mathematics, Biology, and English. Even earlier, in 2008, they emerged as the school topper in X CBSE examinations from Father Agnel School, boasting an impressive aggregate of 96%. 🏆🎓✨

Experience

With a diverse portfolio spanning from faculty development programs 📚 to hackathons 💻, internships 🤝, and workshops 🛠️, my journey epitomizes a holistic engagement with cutting-edge technologies. From mentoring teams in cybersecurity and AI/ML hackathons to participating in national-level military hackathons 🎖️, my dedication to innovation is evident. Moreover, I’ve contributed as a resource person in research colloquia, showcasing expertise in integrating IoT with blockchain. With hands-on experience in diverse programming languages and technologies 🖥️, coupled with a strong conceptual understanding, I’m poised to continue making impactful strides in the realms of AI, IoT, cybersecurity, and beyond.

Research focus

N Fatima’s research spans across various domains, primarily focusing on healthcare and environmental monitoring 🌿🏥. Her work includes designing IoT-based systems for disease prediction in smart greenhouses and human health, such as dermatological disease prediction and stress detection systems. Additionally, she contributes to border security and vehicle recognition technologies. Fatima’s recent endeavors involve utilizing deep learning techniques for disease prediction, including SARS-CoV-2 variant detection and mortality prediction. Through her research, she aims to leverage machine learning and IoT technologies to address pressing challenges in healthcare, agriculture, and security sectors, showcasing a versatile and impactful research portfolio.

Publication top notes

IoT-based smart greenhouse with disease prediction using deep learning

Neural Network based Smart Weed Detection System

IoT-based disease prediction using machine learning

Chest X-ray and CT scan classification using ensemble learning through transfer learning

Iot based border security system using machine learning

Comparative analysis of propagation path loss models in lte networks

Comparative Performance Analysis of Digital Modulation Schemes with Digital Audio Transmission through AWGN Channel

Smart air pollution monitoring system with smog prediction model using machine learning

Design of driver alcohol detection system with automatic engine locking

SARS-CoV-2 virus variant detection and mortality prediction through symptom analysis using machine learning

Dermatological disease prediction and diagnosis system using deep learning

Design of Smart Heart Rate Monitoring and Stress Detection System with Cloud Data Storage and Privacy

COVID-19 Vaccination Progress in India and its Neighbors

Vehicle Number Plate Recognition via MATLAB

Detection and Segmentation of Brain Tumor using MRI images

 

 

 

 

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