Dr. Masoumeh Javanbakhat | Digital Health | Best Researcher Award

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Dr. Masoumeh Javanbakhat | Digital Health | Best Researcher Award

Postdoctoral Researcher at Digital Health, Hasso Plattner Institute, Germany

Masoumeh Javanbakhat is a Postdoctoral Research Fellow at the Hasso-Plattner-Institute, specializing in Digital Health and Machine Learning. Her research focuses on applying machine learning techniques to digital health applications, with a particular interest in probabilistic AI, Bayesian deep learning, and modeling uncertainties in computer vision and medical images. Masoumeh’s work aims to improve healthcare outcomes through innovative technology and data analysis.

Professional Profiles:

Education:

Dr. Masoumeh Javanbakhat completed her Bachelor of Science in Applied Mathematics at Isfahan University, Iran, from 2005 to 2009. She pursued a Master of Science degree at Shahed University, Iran, from 2009 to 2012, focusing on Mathematics, with a thesis on combinatorial designs for key distribution in wireless sensor networks. Dr. Javanbakhat then completed her Ph.D. studies at Hakim Sabzevari University, Iran, from 2013 to 2018, under the guidance of Dr. Amir Hashemi, Dr. Leila Sharifan, and Prof. H. Michael Möller, with a thesis on the symbolic computation of H-bases, Gröbner bases, and minimal bases for syzygies. She collaborated as a Research Collaborator at Passau University, Germany, during 2017-2018, working on the numerical computation of H-bases. Currently, she is a Postdoctoral Research Fellow at the Hasso-Plattner-Institute in Potsdam, Germany, under the mentorship of Prof. Christoph Lippert, focusing on Probabilistic AI, Bayesian deep learning, and modeling uncertainties with applications in computer vision and medical images.

Honors:

Dr. Masoumeh Javanbakhat has received several honors throughout her academic career. She was awarded the Best PhD Graduate by the Faculty of Mathematics and Computer Science at Hakim Sabzevari University, Iran, in 2018. In 2017, she won the Award of University of Passau Research Collaboration from the Ministry of Science, Research, and Technology of Iran. Dr. Javanbakhat achieved a ranking of 1 out of 25 among Ph.D. students at Hakim Sabzevari University in 2018, demonstrating her academic excellence. During her Master’s studies at Shahed University, Iran, she was ranked 3 out of 20 among M.Sc. students in 2012. Similarly, during her Bachelor’s studies at Isfahan University, Iran, she was ranked 3 out of 20 among B.Sc. students in 2009. These honors reflect her outstanding academic performance and dedication to her field.

Academic Experience:

Dr. Masoumeh Javanbakhat has a strong background in academia, with experience both as a teacher and a researcher. From 2021 to 2023, she served as a Teaching Assistant for Mathematics for Machine Learning at the Hasso-Plattner-Institute. Prior to this, she worked as a Research Collaborator at the University of Passau, Germany, under the guidance of Prof. Tomas Sauer, from 2017 to 2018. Dr. Javanbakhat also has experience as an Instructor in Numerical Computation at Amin University from 2018 to 2019. She further enhanced her teaching skills as a Teaching Assistant for Computational Algebra at Isfahan University of Technology from 2018 to 2019, and for Basics of Algebra as well as Basics of Combinatorics at Shahed University from 2012 to 2013. Her academic experience demonstrates her dedication to both learning and teaching in the field of mathematics.
🔧 Programming: Python, MATLAB, Maple
💻 VSC & OS: Git, Linux, Unix
📊 Technical Skills: Data Analysis using Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn
🤖 Machine Learning: Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Probabilistic AI, Bayesian Deep Learning, PyTorch, Weights and Biases
📚 Courses: Python, Deep Learning, Machine Learning, Probabilistic AI, AI for Medical Diagnosis
📜 Certifications: Hands-on Machine Learning with AWS and NVIDIA (In progress)
🧠 Soft Skills: Problem-solving, critical thinking, innovation, and creativity; Ability to deal with complexity and ambiguity; Communication and supervising

Publications:

  1. Key predistribution scheme for clustered hierarchical wireless sensor networks based on combinatorial designs
    1. Authors: M Javanbakht, H Erfani, HHS Javadi, P Daneshjoo
    2. Citations: 17
    3. Year: 2014
  2. Numerical computation of H-bases
    1. Authors: M Javanbakht, T Sauer
    2. Citations: 8
    3. Year: 2019
  3. On the construction of staggered linear bases
    1. Authors: A Hashemi, M Javanbakht
    2. Citations: 3
    3. Year: 2021
  4. On -Closed Graphs
    1. Authors: L Sharifan, M Javanbakht
    2. Citations: 3
    3. Year: 2017
  5. A probabilistic approach to self-supervised learning using cyclical stochastic gradient MCMC
    1. Authors: M Javanbakhat, C Lippert
    2. Citations: 1
    3. Year: 2023
  6. Computing H-bases via minimal bases for syzygy modules
    1. Authors: A Hashemi, M Javanbakht
    2. Citations: 1
    3. Year: 2020
  7. Algebraic invariants of certain projective monomial curves
    1. Authors: M Javanbakht, L Sharifan
    2. Citations: 1
    3. Year: 2019

 

 

Dr. Victoria Ramos | Smart Health | Global Health Impact Award

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Dr. Victoria Ramos | Smart Health | Global Health Impact Award

Científica Titular de OPI at Smart Health , Instituto de Salud Carlos III , Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

A. Previous Activities: They served as the Chief of the Geology Service (Petrography – Mineralogy) at the Regional Laboratory of the Mining Research Company, South Division, Tamanrasset, in 1988 and 1989. B. Recruitment at the University: They were recruited on September 11, 1989, as a Teacher in the Department of Geology at the Faculty of Earth Sciences.

Activities:

In the classic system (1989-2010):

  • Fundamental Geochemistry
  • Petrology of Metamorphic Terrains
  • Mineralogy
  • Thermodynamics

In the LMD system (since 2010):

  • Bachelor’s Level:
    • Global Geodynamics and Metamorphism
    • Geochemistry of the Earth
    • Geochemistry of Natural Gases and Organic Geochemistry
    • Stable Isotopes

Administrative:

  • Acting as the Head of the Mining Geology Department
  • Overseeing field internships for students
  • Participating in several university research projects (Project No. G2301/01/91 from 1991 to 1995; Project No. G2301/05/98 from 1998 to 2000; Project No. F2301/02/2002 from 2001 to 2005)
  • Leading the research project with the code G2301/09/2005, as well as three other projects since 2005
  • Serving as a member of the organizing committee for the Maghreb Seminar on Earth Sciences at the University of Annaba in 1994
  • Being involved in the ANDRS research project from 2000 to 2004
  • Acting as a member of the scientific committee for the National Seminar on Earth Sciences in Tlemcen, October 199

Publications:

Serum interleukin-6 levels predict kidney disease progression in diabetic nephropathy

The Impact of Cardiac Lipotoxicity on Cardiac Function and Mirnas Signature in Obese and Non-Obese Rats with Myocardial Infarction

Aldosterone Impairs Mitochondrial Function in Human Cardiac Fibroblasts via A-Kinase Anchor Protein

Galectin-3 down-regulates antioxidant peroxiredoxin-4 in human cardiac fibroblasts: A new pathway to induce cardiac damage

A role for fumarate hydratase in mediating oxidative effects of galectin-3 in human cardiac fibroblasts

Inhibition of galectin-3 ameliorates the consequences of cardiac lipotoxicity in a rat model of diet-induced obesity

Galectin-3 pharmacological inhibition attenuates early renal damage in spontaneously hypertensive rats

MPGES-1 (Microsomal prostaglandin E synthase-1) mediates vascular dysfunction in hypertension through oxidative stress

The impact of obesity in the cardiac lipidome and its consequences in the cardiac damage observed in obese rats | El impacto de la obesidad sobre el lipidoma cardiaco y sus consecuencias en el daño cardiaco en ratas obesas

The role of oxidative stress in the crosstalk between leptin and mineralocorticoid receptor in the cardiac fibrosis associated with obesity