Assist Prof. Dr. Fatemeh Momen | Quantum transport, nanofiltration | Best Researcher Award

Assist Prof. Dr. Fatemeh Momen | Quantum transport, nanofiltration | Best Researcher Award

Assist Prof. Dr. Fatemeh Momen, Amirkabir University of Technology, Iran

✨ Assist. Prof. Dr. Fatemeh Momen from Amirkabir University of Technology, Iran, is renowned for her pioneering research in quantum transport and nanofiltration. 🌐 Her groundbreaking work in these fields has earned her the prestigious Best Researcher Award. πŸŽ–οΈ Dr. Momen’s innovative approaches and dedication to advancing scientific knowledge have made significant contributions to the scientific community. πŸ“šπŸ”¬ Her commitment to excellence and her impactful research have established her as a leading figure in her field. πŸŒŸπŸ‘©β€πŸ”¬ Dr. Momen’s achievements inspire future generations of scientists to push the boundaries of technology and research. πŸš€

Profile 🌿

Scopus

Education πŸŽ“

Assist. Prof. Dr. Fatemeh Momen conducted postdoctoral research at Rice University, TX, USA, from 2015-2017, specializing in optoelectronic devices and energy storage under Prof. Rouzbeh Shahsavari. πŸ“ŠπŸŒŸ At Γ‰cole Polytechnique de MontrΓ©al, Canada (2012-2014), she focused on the electronic properties of organic molecules on graphene layers, supervised by Prof. Alain Rochefort. πŸŒπŸ”¬ Dr. Momen earned her Ph.D. in Physics from Sharif University of Technology (2005-2011), researching nanoparticle nucleation and growth under Prof. MohammadReza RahimiTabar and Prof. Nima Taghavinia. Her thesis examined turbulent dispersion and sol-gel transitions. πŸŽ“πŸ§ͺ

Research Interests πŸ”¬

πŸ”¬ Assist. Prof. Dr. Fatemeh Momen specializes in the simulation of electronic and optoelectronic properties of nanostructures. Her research delves into computational nanoscale systems, leveraging machine learning to enhance her studies. With a keen interest in the intersection of technology and nanoscience, Dr. Momen is at the forefront of innovative research, pushing the boundaries of what is possible in nanotechnology. Her work not only contributes to the academic community but also paves the way for advancements in electronic and optoelectronic applications. πŸŒŸπŸ“Šβœ¨

Teaching πŸ’Ό

Assistant Prof. Dr. Fatemeh Momen is an expert in General Physics I, II, and III, delving into the principles of physics with enthusiasm and precision. πŸ“šβœ¨ Her expertise extends to Solid State Physics, exploring the intricate properties of matter. πŸŒŸπŸ”¬ She also excels in Statistical Mechanics, unraveling the complexities of statistical behavior in physical systems. πŸ“ŠπŸ§ͺ Furthermore, Dr. Momen is passionate about Nanostructures, Properties, and Applications, pioneering research in the tiny yet powerful world of nanotechnology. πŸŒπŸ” Her dedication and knowledge make her a distinguished figure in the field of physics. πŸ‘©β€πŸ”¬πŸŽ“

Honors and Awards πŸŽ–οΈ

Assistant Prof. Dr. Fatemeh Momen received the Rice University Research Scholarship from 2016 to 2018. She was awarded the Berkeley Scholarship for the BGW workshop in 2015 πŸ†. That same year, she earned the Best Poster Prize at the Ecole Polytechnique FΓ©dΓ©rale de Lausanne in Switzerland πŸŽ–οΈ. In 2014, she received a scholarship from the University of California, Santa Barbara πŸŽ“. Dr. Momen completed her post-doctoral fellowship at Ecole Polytechnique Montreal in Canada in 2012 πŸ₯Ό. In 2011, she won the Prize for her PhD thesis in nanotechnology in Iran πŸ₯‡.

Publications Top Notes πŸ“š

Ξ±-Graphyne nanotubes as a promising material for Li-ion battery anodes

Boron-rich hybrid BCN nanoribbons for highly ambient uptake of H2S, HF, NH3, CO, CO2 toxic gases

Dr. Elif YΔ±ldΔ±rΔ±m Lecturer | Data Science and Analytics | Best Researcher Award

Dr. Elif YΔ±ldΔ±rΔ±m Lecturer | Data Science and Analytics | Best Researcher Award

Dr. Elif YΔ±ldΔ±rΔ±m, Lecturer, Konya Technical University, Turkey

Dr. Elif YΔ±ldΔ±rΔ±m, a dedicated Lecturer at Konya Technical University in Turkey, specializes in Data Science and Analytics. Her commitment to advancing research in this field has earned her recognition as a contender for the Best Researcher Award. Dr. YΔ±ldΔ±rΔ±m’s work focuses on leveraging data-driven insights to solve complex challenges, contributing significantly to the academic community. With a passion for innovation and education, she inspires students and peers alike, shaping the future of data science through her teaching and research endeavors. πŸŒπŸ“Š

Profile 🌟

Orcid

Education πŸ“š

Dr. Elif YΔ±ldΔ±rΔ±m is an accomplished academic, completing her doctoral studies at Hacettepe University’s Graduate School of Science and Engineering in 2019 πŸŽ“. Prior to this, she earned master’s degrees from Hacettepe University in 2017 and Sinop University in 2015 πŸ“š. Her academic journey began with a bachelor’s degree from Sinop University in 2015 πŸŽ“. Dr. YΔ±ldΔ±rΔ±m’s educational background underscores her commitment to advancing in statistical sciences and biomedicine. Her qualifications reflect a strong foundation in research and academic excellence, positioning her as a notable figure in her field.

Academic Title πŸŽ“

Dr. Elif YΔ±ldΔ±rΔ±m, currently serving as a Lecturer at Konya Technical University πŸŽ“, brings extensive academic expertise to her role. With a background encompassing doctoral and master’s degrees from prestigious institutions like Hacettepe University and Sinop University πŸ“š, she has solidified her foundation in statistical sciences and biomedicine. Her research contributions, including leading roles in TUBITAK-funded projects 🌟, reflect her commitment to advancing parameter estimation methods in longitudinal and survival data modeling. Dr. YΔ±ldΔ±rΔ±m’s dedication extends beyond research; she actively engages in editorial duties and academic conferences, fostering collaboration and innovation in statistical research 🌐.

Positions and Projects 🌟

Dr. Elif YΔ±ldΔ±rΔ±m has been actively engaged in research at TED University and plays a pivotal role in the TUBITAK Project (1002). Her research focuses on advancing parameter estimation methods in longitudinal and survival data modeling πŸ“Š. This project, funded by TUBITAK, underscores her commitment to pushing the boundaries of statistical sciences 🌟. Through her work, Dr. YΔ±ldΔ±rΔ±m contributes significantly to enhancing our understanding of complex data relationships and their implications for real-world applications πŸ“ˆ. Her dedication to research excellence reflects in her ongoing efforts to innovate and refine statistical methodologies, ensuring robust and reliable outcomes in scientific investigations πŸ†.

Awards and Recognition πŸ†

Dr. Elif YΔ±ldΔ±rΔ±m has been recognized with several prestigious TUBITAK Publication Incentive Awards spanning from 2019 to 2024 πŸ†, underscoring her significant impact on statistical research. Her contributions to the field are marked by a series of groundbreaking publications in esteemed international journals πŸ“„, showcasing her expertise in statistical sciences and biomedicine. These awards highlight her dedication and leadership in advancing methodologies for longitudinal and survival data modeling, affirming her as a trailblazer in academic research. Dr. YΔ±ldΔ±rΔ±m’s achievements not only bolster her academic standing but also exemplify her commitment to pushing the boundaries of statistical analysis and application.

Administrative and Editorial Contributions 🌐

Dr. Elif YΔ±ldΔ±rΔ±m exhibits exemplary leadership in her academic domain, serving as a board member and editor for esteemed academic journals. πŸ“ Her role underscores her commitment to advancing scholarly discourse and ensuring the quality of research publications. 🌐 Through her editorial contributions, she shapes the direction of scientific inquiry and promotes rigorous standards in academic publishing. πŸŽ“ Dr. YΔ±ldΔ±rΔ±m’s editorial insights and board membership reflect her standing as a respected authority in statistical sciences and biomedicine, enriching the academic community with her expertise and dedication. πŸ†

Workshops and Academic Engagement πŸŽ“

Dr. Elif YΔ±ldΔ±rΔ±m is actively engaged in workshops and conferences, playing a pivotal role in fostering academic dialogue and community engagement in statistical research. 🌐 Her participation enhances collaborative efforts, contributing to advancements in statistical sciences and biomedicine. πŸ“Š Through her involvement, she enriches academic discourse and promotes knowledge sharing among peers and scholars worldwide. πŸŽ“ Dr. YΔ±ldΔ±rΔ±m’s dedication to these events underscores her commitment to professional development and innovation in statistical modeling and analysis. 🌟 Her proactive approach inspires others and strengthens the academic community’s collective pursuit of excellence in research and education. πŸ“ˆ

Publications Top Notes πŸ“š

Power analysis of approximation methods for parameter estimation in Cox regression model with longitudinal covariate and tied survival times

Power unit Burr-XII distribution: Statistical inference with applications

Black hole algorithm as a heuristic approach for rare event classification problem

The relationship between PM10 and SO2 exposure and Covid-19 infection rates in Turkey using nomenclature of territorial units for statistics level 1 regions

gsem: A Stata command for parametric joint modelling of longitudinal and accelerated failure time models

Joint Modeling of a Longitudinal Measurement and Parametric Survival Data with Application to Primary Biliary Cirrhosis Study

Testing adiabatic expansion of polytropic universe model with SNe Ia Data