Topics

<> machine learning (16)

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology

David Gomez-Cabrero

Associate Professor, Bioscience
Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Extreme analysis of seizures

1 min read ·
CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.

Zainab A. Homoud

M.S. Student, Bioengineering
Research Interest Studying : Brain time series, fMRI, EEG, Signal Processing and Machine Learning for better Mental Disease Diagnosis and Consciousness Study. Previous Education Undergraduate study (B.S) in Biomedical Engineering and Health Science at the Joint program of North Carolina State University and UNC Chapel Hill.
<> Time Series (14)

Forecasting Multiple Time Series with One-Sided Dynamic Principal Components

-

B1 L4 R4102

Generalized Dynamic principal components are presented and it is shown how to define one side inear combinations of the present and past values of the series that minimize the reconstruction mean squared error (ODPC). It is shown that the ODPC introduced in this paper can be successfully used for forecasting high-dimensional multiple time series.

Yongxin Zhu

Ph.D., Statistics
Yongxin Zhu was a MS student in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in his research group. Education and Early Career "I'm currently working as a data scientist. The knowledge I acquired at KAUST helps me to be sensitive about the potential usage of data and to analyze data in a rigorous and systematic way." - Yongxin Zhu Yongxin obtained his Bachelor of Science degree in Business and Finance (2017) from the New York University Shanghai, China. In 2018, he graduated with his Master of Science

Wagner Barreto-Souza

Research Scientist, Statistics
Wagner Barreto-Souza is a Research Scientist of the KAUST Biostatistics Group headed by Prof. Hernando Ombao. Early Career Professor of Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. (2013-2020) Education Profile Ph.D. in Statistics. Universidade de São Paulo, SP, Brazil. (2012) M.S. in Statistics. Universidade Federal de Pernambuco, Recife, Brazil. (2008) B.S. in Statistics. Universidade Federal de Pernambuco, Recife, Brazil. (2006)

Siti Balqis Samdin

Postdoctoral Research Fellow, Statistics
Siti Balqis Samdin is a Post-Doctoral fellow In Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Hernando Ombao in his research group. Education and Early Career Siti Balqis obtained her Ph.D. and Bachelor of Engineering in Biomedical Engineering from Universiti Teknologi Malaysia (UTM) in 2017 and 2011, respectively. She worked as Research Assistant at UTM before joining KAUST in 2018. Research Interest Her research interest primarily lies in biomedical signals and image processing using statistical methods such as time-series

Sarbojit Roy

Postdoctoral Research Fellow, Statistics

Raanju Ragavendar Sundararajan

Postdoctoral Research Fellow, Statistics
Raanju Sundararajan is a Post-Doctoral fellow In Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Hernando Ombao in his research group. Education and Early Career Raaju received his Ph.D. degree in Statistics in 2018 from the Texas A&M University, Texas, United States. Research Interest His research interests lie in fields such as nonstationary time series, frequency domain, and nonparametric methods. Editorial Positions Referee for journals such as Statistics in Medicine and Brain Connectivity.

Paolo Victor Redondo

Ph.D., Statistics
Ph.D. Degree in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser and Prof. Hernando Ombao.

Oleg Gorshkov

Visiting Researcher, Statistics
Oleg Gorshkov is a Visiting Researcher working in collaboration with Professor Ombao at the Biostatistics Group of the Statistic Program of KAUST. Research Interest Oleg's research interests lie in fields such as fractal analysis and chaos theory; focusing on the following main topics: analysis of bio-medical time series signals (R-R intervals, stabilograms, encephalograms, step width and stride length time series ); bio-medical images (thermograms). Editorial Position Reviewer, IEEE Signal Processing Letters Reviewer, IET Systems Biology

Meini Tang

M.S. Student, Statistics
Meini Tang is an MS student in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in his research group. Education and Early Career Meini obtained her Bachelor of Science in Applied Statistics (2018) from Sun Yat-sen University, Guangzhou, China. Then, she joined the MS/Ph.D. program in Statistics at KAUST in 2017. Research Interest Her research interests lie in fields such as t ime series analysis, brain-network analysis, Bayesian statistics, and machine learning.

Matheus B. Guerrero

Ph.D. Student, Statistics
Matheus was a Ph.D. student in Statistics at the King Abdullah University of Science and Technology (KAUST), doing research under the joint supervision of Prof. Raphaël Huser and Prof. Hernando Ombao. Matheus successfully defended his PhD thesis entitled " Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data" on April 4th, 2023; see his PhD thesis here. His PhD committee was composed of Professors Raphaël Huser (chair), Prof. Hernando Ombao (co-chair), Miguel de Carvalho (external examiner from the University of

Hernando Ombao

Professor, Statistics
KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.

Guillermo C. Granados Garcia

Ph.D. Student, Statistics
Guillermo is a Ph.D. candidate In Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in his research group. Education and Early Career Guillermo obtained his Bachelor of Science in Actuary by the Universidad Nacional Autónoma de México. Then, he joined the MS/Ph.D. program in Statistics at KAUST in 2017. In 2018, he graduated his Master of Science in Statistics at KAUST. Research Interest His research interests lie in fields such as stochastic financial models, actuarial sciences, biostatistics, time series

Anass B. El-Yaagoubi

Ph.D. (former), Statistics
Ph.D. Degree at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in the Biostatistics group.

Abdulrahman A. Althobaiti

M.S. Student, Statistics
Abdulrahman Althobaiti is a MS student in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in his research group. Education and Early Career Abdulrahman was granted a fully funded scholarship through KAUST Gifted Students Program (KGSP) to complete his undergraduate studies. He attended Georgia Tech's English Institute in 2012 and continued his preparation for undergraduate studies at the University of Kansas in 2013. In 2014, he started as a freshman at Rutgers the State University of New Jersey majoring
<> statistics (12)

2017 Workshop Modern Statistics for Complex Data Structures

1 min read ·
2017 Workshop Modern Statistics for Complex Data Structures

How extreme weather exacerbates air pollution

1 min read ·
Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks.

2018 Workshop on Statistics and Data Science

1 min read ·
The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). Details on the workshop (speakers, abstracts and schedule) can be found here.

Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals

1 min read ·
Luigi Lombardo, Thomas Opitz, and Raphaël Huser’s article “Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster”, published in the scientific journal Stochastic Environmental Research and Risk Assessment (SERRA), in July 2018, is among the top downloaded articles in Springer’s Environmental Sciences Journals for the year 2018. Huser is an Assistant Professor of statistics in the CEMSE division and principal investigator of the Extreme Statistics (extSTAT) Research Group at KAUST.

Epilepsy study shows the shape of things to come

1 min read ·
Pyramidal graphs resulting from statistical analyses of EEG recordings can improve our understanding of epileptic seizures.

3 Faculty Positions in Statistics 2020 at KAUST

1 min read ·
The 3 faculty positions are in the Statistics Program (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. Currently, the Statistics Program has 7 core faculty and 10 affiliated faculty. We are primarily interested in applicants with strong background in one of the following areas: (1) Statistical Data Science and AI, including network data analysis and high-dimensional statistics (https://apply.interfolio.com/69165); (2) Statistical Climatology, with expertise in statistical analysis of climate model output data, in particular regional climate models, and in physical systems (https://apply.interfolio.com/69167); (3) Statistics for Public Health, including smart health data analysis, personalized medicine, and disease mapping (https://apply.interfolio.com/69168).

Today we celebrate World Statistics Day!

1 min read ·
Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!

KAUST STAT students come together for second ASA chapter meeting

1 min read ·
Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.

A brainwave from social networks

1 min read ·
The statistics used to understand social networks reveal the diversity of functional connections in the brain.

Beating the curse of dimensionality

1 min read ·
By scanning past data for both partial and complete matches to current observations, a KAUST-led research team has developed a prediction scheme that can more reliably forecast the future trajectory of environmental parameters. The collection of data at regular intervals over time is common in many fields but particularly so in environmental, transportation and biological research. Such data are used to monitor and record the current state and also to help predict what might come in the future. A typical approach is to look for previous patterns or trajectories in the data that match the

Finding true protein hotspots in cancer research

1 min read ·
Novel statistical methods help tell the difference between "false positives" and true detections of protein domain hotspots that could be linked to cancer.

Extreme analysis of seizures

1 min read ·
CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.
<> Deep learning (7) <> Signal processing (7)
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology
Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon
Ahmad Dkhan

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Alaa Alameer Ahmad

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).

Peter Schmid

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.
<> artificial intelligence (6)
Najmeddine Dhieb

Najmeddine Dhieb

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)
<> Computer Vision (6)

Abdelrahman Eldesokey

Postdoctoral Research Fellow
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
<> Biostatistics (4)

Meet KAUST new student: Daniel Osorio Barreto

1 min read ·
Daniel Osorio Barreto, is an economics graduate who joined KAUST this fall from Universidad Autónoma de Manizales, Colombia. He is as a Ph.D. student and member of the KAUST Biostatistics Group under the supervision of Professor Hernando Ombao.

Shuhao Jiao

Postdoctoral Research Fellow, Statistics
Shuhao Jiao is a Postdoctoral Fellow of the KAUST Biostatistics Research Group. Before joining KAUST, Dr. Jiao received his Ph.D. in Statistics in 2019 from University of California, Davis. He is interested in statistical learning of complicated neuroimage data. He addresses these problems using novel statistical theory and methods in functional data analysis and machine learning. Education 2019: Ph.D., Department of Statistics, University of California, Davis. 2014: BSc (Mathematics & Statistics), Shandong University, Jinan, China. Research Interest Functional data analysis, Time series

Mara Sherlin Talento

Ph.D. Student, Statistics
We do not gain confidence through measuring what we know, but through quantifying how much we do not know. Mara Sherlin Talento is a PhD student in the Biostatistics group of King Abdullah University of Science and Technology, under the supervision of Prof. Hernando Ombao. She finished her Master’s degree in University of the Philippines and served the chairperson of Young Statisticians Committee of the International Statistical Institute during 2020 – 2023. She is also a member of American Statistical Association and International Biometric Society.

Daniel Osorio Barreto

Ph.D. Student, Statistics
Daniel Osorio Barreto is a Ph.D. student and member of the KAUST Biostatistics Group under the supervision of Professor Hernando Ombao. Before joining KAUST, Daniel obtained a bachelor's degree in Economics from Universidad Autónoma de Manizales and an M.Sc. in Economics from Universidad de Manizales, Colombia. Research Interests Daniel's research interests include biostatistics, behavioral economics, and macroeconomics.
<> data analysis (4)

Nizar Ajeeb

Full Time Researcher Full at King Abdullah University of Science and Technology.

2018 Workshop on Statistics and Data Science

1 min read ·
The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). Details on the workshop (speakers, abstracts and schedule) can be found here.

Fai Alismail

M.S. Student, Bioengineering
Fai Khalid Alismail's research interests extend to the analysis of brain signals, particularly focusing on identifying biomarkers that can distinguish children with ADHD (Attention Deficit Hyperactivity Disorder) from others. This research direction aligns with her academic background in bioinformatics and biostatistics, as well as her professional experience as a Data Scientist. Her goal is to contribute to the field of neuroscience by leveraging advanced statistical methods to analyze EEG (Electroencephalography) data. EEG data provides valuable insights into brain activity and can serve as

Anass B. El-Yaagoubi

Ph.D. (former), Statistics
Ph.D. Degree at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in the Biostatistics group.
<> MATLAB (4) <> AI (3) <> big data (3)

Forecasting Multiple Time Series with One-Sided Dynamic Principal Components

-

B1 L4 R4102

Generalized Dynamic principal components are presented and it is shown how to define one side inear combinations of the present and past values of the series that minimize the reconstruction mean squared error (ODPC). It is shown that the ODPC introduced in this paper can be successfully used for forecasting high-dimensional multiple time series.

Exploring science's fourth paradigm

1 min read ·
The recent KAUST Research Conference: Computational and Statistical Interface to Big Data brought together leading computer science researchers and statistical experts to discuss the current state and future of data science. Held on campus from March 19 to 21, the conference covered such data science topics as succinct data representation and storage; big data visualization; parallel and distributed algorithms for inference and optimization; and analysis of large graphs and networks.

Beating the curse of dimensionality

1 min read ·
By scanning past data for both partial and complete matches to current observations, a KAUST-led research team has developed a prediction scheme that can more reliably forecast the future trajectory of environmental parameters. The collection of data at regular intervals over time is common in many fields but particularly so in environmental, transportation and biological research. Such data are used to monitor and record the current state and also to help predict what might come in the future. A typical approach is to look for previous patterns or trajectories in the data that match the
<> haps (3)

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
H

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> healthcare (3) <> IoT (3) <> neuroscience (3) <> optimization (3) <> Photonics and optoelectronics (3) <> Reinforcement Learning (3) <> Spectral Analysis (3)

A shock to the system

1 min read ·
The global, multifarious challenge posed by the COVID-19 pandemic has scientists tapping their wide-ranging fields of expertise to attack the problem on many fronts. Answering the call from KAUST President Tony Chan, and coordinated by the University's leadership team, KAUST researchers making up the Rapid Research Response Team (R3T) are turning this crisis into an opportunity to innovate.

Mara Sherlin Talento

Ph.D. Student, Statistics
We do not gain confidence through measuring what we know, but through quantifying how much we do not know. Mara Sherlin Talento is a PhD student in the Biostatistics group of King Abdullah University of Science and Technology, under the supervision of Prof. Hernando Ombao. She finished her Master’s degree in University of the Philippines and served the chairperson of Young Statisticians Committee of the International Statistical Institute during 2020 – 2023. She is also a member of American Statistical Association and International Biometric Society.

Hernando Ombao

Professor, Statistics
KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.
<> Time Series Analysis (3)

Ziling Ma

Ph.D. Student, Statistics
Ziling is a doctoral student in Statistics at King Abdullah University of Science and Technology (KAUST), where she is conducting her research under the mentorship of Professor Hernando Ombao in the Biostatistics research group and Professor Ying Sun in the Environmental Statistics research group. Education and Initial Professional Experience Ziling Ma earned her Bachelor's degree in Mathematics and Applied Mathematics from Tianjin Normal University in China. She then furthered her education at KU Leuven in Belgium, where she was awarded a Master's degree in Mathematics. Ziling embarked on her

Sipan Aslan

Postdoctoral Research Fellow, Statistics
Sipan Aslan is a Postdoctoral Research fellow of the Biostatistics group under the supervision of Prof. Hernando Ombao.

Fai Alismail

M.S. Student, Bioengineering
Fai Khalid Alismail's research interests extend to the analysis of brain signals, particularly focusing on identifying biomarkers that can distinguish children with ADHD (Attention Deficit Hyperactivity Disorder) from others. This research direction aligns with her academic background in bioinformatics and biostatistics, as well as her professional experience as a Data Scientist. Her goal is to contribute to the field of neuroscience by leveraging advanced statistical methods to analyze EEG (Electroencephalography) data. EEG data provides valuable insights into brain activity and can serve as
<> AI4Science (2) <> bioscience (2) <> data science (2) <> Environmental Statistics (2) <> extreme-value theory (2) <> Generative AI and LLMs (2) <> high dimensional statistics (2) <> human health (2) <> ISAC (2) <> Large Language Models (2) <> LiDAR (2) <> Localization (2) <> macroeconomics (2) <> modeling (2) <> Network Design (2) <> Neuroimaging (2) <> Non-Terrestrial Networks (2) <> numerical analysis (2) <> optical computing (2) <> Programming language (2) <> Python (2) <> quantum communication (2) <> Stochastic processes (2) <> Wireless communication (2) <> Wireless Communications (2) <> xstat research highlights (2) <> 5G networks (1) <> 6G (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> Affective AI (1) <> AI for healthcare (1) <> air pollution (1) <> ambit fields (1) <> Applied Machine Learning (1) <> applied mathematics (1) <> Applied Probability (1) <> applied statistics. (1) <> Arabic NLP (1) <> autoregressive processes (1) <> bayesian analysis (1) <> beamforming (1) <> behavioral economics (1) <> bioengineering (1) <> bioinformatics (1) <> biological processes (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> biotechnology (1) <> BLE communication (1) <> brain science (1) <> brain signals (1) <> calculus of variations (1) <> cancer (1) <> Causal Connectivity (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> climate science (1) <> cloud- and fog-radio access networks (1) <> coding techniques for Terahertz (1) <> communication (1) <> communication engineering (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational and statistical interface (1) <> computational bioscience (1) <> computational methods (1) <> computational statistics (1) <> computer networks (1) <> Continual Learning (1) <> Cooperative networks (1) <> COVID-19 (1)