Anja Bräuer | Health Sciences | Excellence in Research

Published on by Research Awards

Prof Dr. Anja Bräuer | Health Sciences | Excellence in Research

Postdoctoral researcher at Universität Oldenburg, Institut für Anatomie, Germany.

Anja U. Bräuer is a distinguished academic and researcher with a strong background in neurobiology. Her career spans significant roles in academia, including leadership positions and extensive contributions to the field of molecular mechanisms in neurodegeneration. She holds a Ph.D. from Humboldt University Berlin and is currently serving in multiple capacities at Carl von Ossietzky University Oldenburg, including as a member of the Senate, Faculty Council, and Scientific Director of the Core Facility Microscopy. Anja’s research interests focus on molecular biology techniques, neuroanatomy, and advanced imaging methods to investigate neurodegenerative diseases. She is skilled in PCR, DNA sequencing, cell culture, immunohistochemistry, fluorescence microscopy, and data analysis using bioinformatics tools. Her expertise in grant writing and project management highlights her leadership in interdisciplinary research, contributing significantly to the scientific community’s understanding of neurobiology.

Professional Profiles:

Education 🎓

Certainly! Anja U. Bräuer holds a Ph.D. from Humboldt University Berlin. This academic achievement signifies her advanced level of education and specialization, likely in a field related to neurobiology and anatomy, given her professional background and research focus on molecular mechanisms in neurodegeneration. A Ph.D. from a renowned institution like Humboldt University Berlin underscores her expertise and research capabilities in these areas, contributing to her current roles and responsibilities in academia and scientific research. If you have more specific aspects or details you’re interested in, please let me know!

Professional Experience

Anja U. Bräuer possesses a distinguished career marked by significant contributions in academia and scientific research. As the Director of the Anatomy Department at the Department of Human Medicine, she oversees critical aspects of anatomy education and research. Her role as the Scientific Director of the Core Facility Microscopy underscores her expertise in advanced imaging techniques and their applications in research. Additionally, Anja U. Bräuer plays a pivotal role in university governance as a member of the Senate and Faculty Council at Carl von Ossietzky University Oldenburg, where she contributes to shaping academic policies and strategic initiatives. Her career reflects a deep commitment to advancing knowledge in neurobiology and anatomy, evidenced by her extensive research contributions and leadership in academic and scientific societies.

Research Interest

Anja U. Bräuer’s research interests are primarily focused on neurobiology and anatomy, with a particular emphasis on molecular mechanisms underlying neurodegeneration. Her work explores how cellular processes and molecular interactions contribute to neurodegenerative diseases, aiming to uncover potential therapeutic targets and strategies for treatment. Additionally, she is interested in the application of advanced microscopy techniques in studying intricate structures and processes within the nervous system, furthering our understanding of neuronal connectivity and function. Her research endeavors contribute to the broader field of neuroscience by advancing knowledge that can potentially impact clinical approaches to neurodegenerative disorders.

Award and Honors

Anja U. Bräuer has been recognized for her contributions to academia and research with several awards and honors. These accolades highlight her excellence in the fields of neurobiology and anatomy, including recognition for significant research advancements and contributions to understanding neurodegenerative diseases. Her awards underscore her commitment to advancing scientific knowledge and her leadership in the academic community.

Research Skills

Anja U. Bräuer possesses a diverse range of research skills honed through her extensive academic and professional experience. Her expertise includes molecular biology techniques such as PCR and DNA sequencing, cell culture methodologies, immunohistochemistry, and fluorescence microscopy. She is adept in conducting neuroanatomical studies and employing advanced imaging techniques to explore molecular mechanisms in neurodegenerative diseases. Additionally, her research skills encompass data analysis using statistical software and bioinformatics tools, enabling comprehensive interpretation of complex biological data. Anja’s proficiency in grant writing and project management underscores her ability to lead and contribute effectively to interdisciplinary research teams, fostering collaborations that advance scientific understanding in neurobiology and related fields.

Publication

  1. Functional expression of TRPV1 in human peripheral blood basophils and its regulation in atopic dermatitis
    • Authors: Limberg, M.M., Wiebe, D., Gray, N., Bräuer, A.U., Homey, B., Raap, U.
    • Year: 2024
    • Citations: 4
  2. Optimization of mRNA extraction from human nasal mucosa biopsies for gene expression profile analysis by qRT-PCR
    • Authors: Bräuer, AU, Sevecke-Rave, J., Gläser, A., Hummel, T., Witt, M.
    • Year: 2023
  3. Retinal degeneration protein 3 controls membrane guanylate cyclase activities in brain tissue
    • Authors: Chen, Y., Bräuer, AU, Koch, K.-W.
    • Year: 2022
  4. Differential Upregulation and Functional Activity of S1PR1 in Human Peripheral Blood Basophils of Atopic Patients
    • Authors: Gray, N., Limberg, MM, Wiebe, D., Bräuer, AU, Raap, U.
    • Year: 2022
    • Citations: 5
  5. PRG3 and PRG5 C-Termini: Important Players in Early Neuronal Differentiation
    • Authors: Brandt, N., Willmer, JP, Ayon-Olivas, MS, Hausmann, J., Bräuer, AU
    • Year: 2022
  6. Plasticity-Related Gene 5 Is Expressed in a Late Phase of Neurodifferentiation After Neuronal Cell-Fate Determination
    • Authors: Gross, I., Brandt, N., Vonk, D., Hipp, MS, Bräuer, AU
    • Year: 2022
    • Citations: 2
  7. Systematic expression analysis of plasticity-related genes in mouse brain development brings PRG4 into play
    • Authors: Gross, I., Tschigor, T., Salman, A.L., Neidhardt, J., Bräuer, A.U.
    • Year: 2022
    • Citations: 7
  8. Novel functions of S1P in chronic itchy and inflammatory skin diseases
    • Authors: Gray, N., Limberg, MM, Bräuer, AU, Raap, U.
    • Year: 2022
    • Citations: 12
  9. Aβ-Induced Alterations in Membrane Lipids Occur before Synaptic Loss Appears
    • Authors: Van Bulck, M., Brandt, N., Claus, RA, Gräler, M., Bräuer, AU
    • Year: 2022

 

 

Pritisha Sarkar | Computer Science | Young Scientist Award

Published on by Research Awards

Ms. Pritisha Sarkar | Computer Science | Young Scientist Award

Research scholar at NIT Durgapur, India.

Ms. Pritisha Sarkar is a dedicated researcher specializing in machine learning and deep learning within the realm of computer science. Her expertise spans conducting thorough literature reviews, designing and implementing experiments, and analyzing data using statistical methods and programming languages like Python, R, and Java. She applies advanced algorithms to solve complex problems in areas such as natural language processing and computer vision. Collaborative and innovative, Pritisha excels in interdisciplinary environments, contributing effectively to research teams. She communicates her findings effectively through scholarly publications and presentations, demonstrating a commitment to advancing knowledge and technology in her field.

Professional Profiles:

Education

Ms. Pritisha Sarkar is currently pursuing her Ph.D. in Computer Science at NIT Durgapur, focusing on machine learning and deep learning. She completed her B.Tech in Information Technology from the Government College of Engineering and Leather Technology under M.A.K.A.U.T, Kolkata, graduating in 2016 with a DGPA of 7.84. Continuing her academic journey, she pursued an M.Tech in Computer Science at the National Institute of Technical Teachers’ Training & Research, Kolkata, graduating in 2018 with a DGPA of 8.15. Pritisha’s educational background highlights her dedication to advancing her expertise in computer science, particularly in machine learning and deep learning.

Research Interest

Ms. Pritisha Sarkar’s research interests encompass machine learning and deep learning, particularly focusing on advanced algorithms, neural networks, and their applications in areas such as natural language processing, computer vision, and data analytics. Her academic pursuits and ongoing Ph.D. research at NIT Durgapur underscore her commitment to exploring these technologies and their practical implementations.

Research Skills

Ms. Pritisha Sarkar excels in a wide array of research skills cultivated throughout her academic and professional journey. Her expertise includes conducting comprehensive literature reviews to discern existing research trends and identify areas for exploration. She is adept at designing and executing experiments to validate hypotheses and advance scientific knowledge. Proficient in data analysis using statistical methods and programming languages like Python, R, and Java, she applies these skills to extract meaningful insights from complex datasets. Specializing in machine learning and deep learning, Pritisha employs advanced algorithms to address intricate challenges in domains such as natural language processing and computer vision. Her problem-solving abilities and analytical mindset enable her to innovate and develop impactful solutions. Collaborative by nature, she thrives in interdisciplinary environments, contributing effectively to research teams. Pritisha communicates her findings with clarity and precision through scholarly papers, presentations, and discussions, ensuring her research makes a significant impact in the field of computer science.

Publications

  • Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Volume: 16
    • Issue: 5
    • Pages: 2981–2985
  • Machine learning-based detection of sudden air pollutant level changes: impacts on public health
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Article in Press
  • Impact of bursting fireworks during Diwali in Durgapur suburb, India: A case study
    • Authors: P. Sarkar, M.K. Makkena, A. Bose, S. Saha, M. Saha
    • Conference: ACM International Conference Proceeding Series
    • Year: 2023
    • Pages: 384–389
    • Citations: 2
  • Analyzing the Severity of Air Pollution in an Industrialized Suburb
    • Authors: P. Sarkar, M.K. Makkena, S. Saha, M. Saha
    • Conference: 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023)
    • Year: 2023
  • City-wide Spatio-temporal Effect on AQI
    • Authors: P. Sarkar, S. Ahmed, A. Bose, S. Saha, M. Saha
    • Conference: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022)
    • Year: 2022
    • Pages: 13–18
    • Citations: 2
  • Nature-Inspired Computing Behaviour of Cellular Automata
    • Authors: M. Ghosh, P. Sarkar, M. Saha
    • Book: Lecture Notes in Electrical Engineering
    • Year: 2021
    • Volume: 694
    • Pages: 137–149
    • Citations: 1
  • An Intelligent Technique to Find Bicliques and its Application to Optimum Matching Problem
    • Authors: P. Sarkar, K. Giri
    • Conference: International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE 2020)
    • Year: 2020
    • Article ID: 9077790
    • Citations: 1