جست‌وجوی استاد و پژوهشگر

Mohamed El-Hadidiمشاهده پروفایل

دانشیار

• Bioinformatics
• Genomics
• Computational Biology
• +۷ مورد دیگر

Dr. Mohamed El-Hadidi is an Associate Professor in Bioinformatics at the Department of Cancer and Genomic Sciences, University of Birmingham, Dubai Campus, where he also serves as the Programme Director for the MSc Bioinformatics program. He previously held an Assistant Professor position and led the Bioinformatics Research Group at Nile University, Egypt, and is actively involved in national scientific initiatives such as the Egyptian Genome Project. Educational Background: PhD in Bioinformatics, Eberhard Karls Universität Tübingen, Germany (2016) MSc in Biotechnology, Instituto Superior Técnico, Lisbon, Portugal (2012) MSc in Computational and Systems Biology, Aalto University, Finland (2011) Postgraduate Diploma in Bioinformatics, ITI, Egypt (2011) BSc in Biotechnology, Cairo University, Egypt (2006) His research focuses on Next Generation Sequencing (NGS) data analysis , multi-OMICS integration , and microbiome-host interactions , with applications in precision medicine, infectious diseases, and environmental microbiology. He has made significant contributions to human and microbiome genomics, including work on SARS-CoV-2, cancer, and antibiotic resistance. The most recent publications reflect a strong trend in computational approaches to disease mechanisms, microbiome dynamics, and machine learning applications in genomics. His work spans drug repurposing , cancer bioinformatics , antibiotic resistance tracking , and AI-driven diagnostics , demonstrating a multidisciplinary and translational research profile. Scientific Contributions: Active member of the Scientific Committee of the Egyptian Reference Genome Project Council Vice President, National Egyptian Bioinformatics Network Published extensively in journals such as Frontiers in Molecular Biosciences , Scientific Reports , Cell Host & Microbe , and PLOS Computational Biology Contributed book chapters on metagenomic data analysis and microbiome workflows Dr. El-Hadidi has supervised student projects and led the development of academic programs in bioinformatics. His industry consulting experience complements his academic work, enhancing the practical relevance of his research. He has led projects on benchmarking bioinformatics tools, disease variant identification in Egyptian populations, and AI-based diagnosis of neurodegenerative diseases using microbiome data. He is affiliated with research teams focused on microbiome analysis , genomic data integration , and computational workflows such as MetaFlow and AmpliconNet, contributing to open and reproducible science in bioinformatics.

Robert Geiseمشاهده پروفایل

استاد

• Electromagnetic Compatibility
• Navigation Systems
• Antenna Design
• +۲ مورد دیگر

Prof. Dr. Robert Geise is a Professor at HTWK Leipzig's Faculty of Digital Transformation, where he serves as Vice Dean, Research Officer, and Officer for International Relations. His academic roles include teaching courses such as Navigation and Communication Systems, Antennas, Measurement Techniques, and Radio Frequency Technology. Geise leads cutting-edge research projects, including BMWK-funded 'Navant-NG' (drone-based navigation inspections) and DFG-funded 'AppFun' (electromagnetic interference analysis). His research focuses on electromagnetic compatibility (EMC) , navigation system integrity, antenna design, and advanced measurement methodologies. Publications emphasize aviation safety, signal propagation, and regulatory frameworks, with applications in drone technology and renewable energy policy. Geise's work bridges engineering precision with legal compliance, particularly in aviation and wind energy contexts. He actively contributes to projects like 'min-VOR-Win' (wind turbine navigation compatibility) and develops scalable measurement systems for industrial and aviation applications. No awards or advised students are documented in available sources.

• Genetics
• Genomics and transcriptomics
• Molecular evolution
• +۲ مورد دیگر

Dr. Austen Ganley is a Senior Lecturer at the University of Auckland's School of Biological Sciences, specializing in Genetics , Genomics , and Molecular Evolution . He earned his BSc, BSc(Hons), and PhD in Genetics from Massey University before conducting postdoctoral research at Duke University, National Institute of National Biology (Japan), and National Institute of Genetics (Japan). Education PhD in Genetics (Massey University, 1995-2000) BSc (Honours) in Genetics (Massey University, 1993-1993) BSc in Genetics (Massey University, 1990-1992) His research focuses on genome structure and the evolution of repetitive DNA sequences , particularly ribosomal DNA (rDNA) dynamics. Through experimental evolution in yeast models and genomic analyses of fungi like Epichloë festucae , he investigates mechanisms such as concerted evolution , gene conversion , and nucleolar organization in relation to cellular aging and pathogenic adaptation. Recent publications highlight his work on non-coding transcription in aging, allopolyploid gene expression patterns, and fungal genome architecture . His studies often employ comparative genomics and high-throughput sequencing to uncover conserved eukaryotic responses to genome merger events. Despite extensive collaborations, no specific scientific awards are mentioned in the provided data. As an accredited PhD supervisor , he contributes to training the next generation of researchers. His laboratory work spans institutions in Japan, Denmark, and New Zealand, with technical expertise in phylogenetic footprinting , Hi-C mapping , and homeolog expression analysis .

Rajat Rainaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Artificial Intelligence
• Statistical Machine Learning
• +۷ مورد دیگر

Rajat Raina is a Researcher currently affiliated with Facebook, where he focuses on enhancing the relevance of online advertising through machine learning techniques. He holds a Ph.D. in Computer Science from Stanford University, where he conducted research under the guidance of Andrew Y. Ng at the Stanford AI Lab . His academic background includes undergraduate studies at the Indian Institute of Technology (IIT) Kanpur , India. Education: Ph.D. in Computer Science (Stanford University), B.Tech at IIT Kanpur Rajat's research interests center on statistical machine learning , with particular emphasis on unsupervised learning , semi-supervised learning , and transfer learning . He explores these areas in the context of large-scale problems and high-dimensional data, contributing to diverse applications such as computer vision, text processing, natural language processing, web search, speech/music processing, and online advertising. His publication record spans multiple disciplines within machine learning and AI. Notable trends include advancements in GPU-based deep learning , sparse coding algorithms , and self-taught learning . His work frequently bridges theoretical insights with practical implementations, particularly in optimizing computational efficiency for complex models. Rajat has previously collaborated with prestigious institutions and organizations, including Microsoft Research , Google , and the AI Lab at EPFL , during internship experiences. He has also contributed to organizational workflows at the NIPS 2007 Conference as Workflow Master.

• Bioinformatics
• Computational Biology
• Genomics
• +۳ مورد دیگر

Michal Okoniewski is a Researcher at ETH Zürich's Computational and Data Science Support within the Scientific IT Services. His work spans bioinformatics, genomics, and computational biology, focusing on RNA sequencing, genomic data analysis, and development of scalable bioinformatics tools. Developed frameworks like SeQuiLa and V-pipe 3.0 for genomic data processing Explored hormonal regulation in vascular and reproductive systems Investigated transcriptional dynamics in cancer and developmental biology His recent publications highlight trends in viral genetics, clinical data warehousing, and environmental microbiology. No scientific awards are listed in the available information.

Heng Liمشاهده پروفایل

استاد

• Digital Construction
• Smart Construction
• Building Information Modeling (BIM)
• +۹ مورد دیگر

Heng Li is a Chair Professor of Construction Informatics at The Hong Kong Polytechnic University , with a career spanning institutions like Tongji University , University of Sydney , and others. His research bridges Digital Construction , Smart Construction , and Robotics with interdisciplinary applications in Statistics and Process Computing . Education : BEng & MEng from Tongji University , PhD from University of Sydney . Research Interests focus on Construction Informatics, BIM, and Robotics, with significant contributions to Digital Construction and interdisciplinary fields like Computational Statistics. His work often integrates Prefabrication and Operating Systems, addressing challenges in Construction Waste Management and Archaeology. Publications include groundbreaking contributions in Bioinformatics and Materials Science, notably the Sequence Alignment/Map format and Minimap2 . These works span Genomics , Algorithm Development , and Sustainable Materials . Scientific Awards : Research.com Business and Management in China Leader Award (2025, 2023, 2022) Research.com Engineering and Technology in China Leader Award (2025, 2024, 2022) Professional Roles include leadership in funded projects worth HK$80+ million, focusing on Construction Information Technologies. He has authored over 500 journal papers and two books, with an H-index of 129 in Engineering and Technology.

Marek Kvetanمشاهده پروفایل

استادیار

• Visual Communication
• Drawing
• Intermedia Art
• +۳ مورد دیگر

Marek Kvetan, an Assistant Professor at the Academy of Fine Arts, Bratislava, Slovakia , specializes in Visual Communication , Intermedia Art , and Digital Media . His work interrogates the intersection of technology , urban environments , and psychological states , often employing installations , drawings , and photographic series . Kvetan’s exhibitions, such as Reconfiguration (2020) and ECHO (2018), explore cybernetic aesthetics and digital erasure . His research and practice span digital art , new media , and spatial objects , with a focus on urban peripheries and technological interfaces . Articles like www.google.com (2000) and New City (Prague) (2002–2004) analyze information membranes and corporate abstraction . Scientific Awards : Laureate, Novum Foundation (2016); Finalist, Henkel Art Award (2010); Laureate, NG 333 Award (2008); Grand Prix, Triennial of Contemporary Slovak Graphics (2003).

• Cement Chemistry
• Mineralogy
• Rheology
• +۳ مورد دیگر

Cordula Jakob, M.Sc., is a researcher at the GeoZentrum Nordbayern (GeoCenter Northern Bavaria) within the Faculty of Sciences at Friedrich Alexander University Erlangen-Nuremberg. She works in the Department of Mineralogy under the Chair of Mineralogy led by Prof. Dr. Göbbels. Her office is located in Room NG 2.003 at Schloßgarten 5a, 91054 Erlangen, where she conducts research on cement chemistry and construction materials. Her primary research interests focus on cement chemistry , particularly the development of phase composition, kinetics and rheology during early hydration of Ordinary Portland Cement (OPC) pastes. She investigates how inorganic additives and polycarboxylate-based superplasticizers (PCEs) affect the kinetics and rheological behavior of cementitious systems. Her work has significant implications for construction materials engineering, 3D concrete printing technology, and understanding fundamental hydration processes. Analysis of Jakob's publication record from 2019-2025 reveals a strong focus on cement hydration mechanisms, with particular attention to ettringite formation, rheological properties, and the effects of various additives. Her research combines experimental approaches including XRD analysis, rheometry, and novel testing methods to understand the complex interactions in cement systems during early hydration stages. Recent work has expanded into applications for 3D concrete printing and advanced material characterization. Jakob has been actively involved in the DFG SPP 2005 priority program "Opus Fluidum Futurum – Rheology of reactive, multiscale, multiphase construction materials," contributing to reference material characterization and advancing understanding of construction material rheology. Her collaborative approach is evident in her numerous co-authored publications with researchers across multiple institutions.

Chuan-Sheng Fooمشاهده پروفایل

پژوهشگر

• Deep Learning
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Chuan-Sheng Foo serves as the Deputy Head of the Machine Intelligence Department at the Institute for Infocomm Research (I2R), part of Singapore's Agency for Science, Technology and Research (A*STAR). His research focuses on data-efficient deep learning approaches for applications in healthcare and manufacturing, where large annotated datasets are difficult to obtain due to the need for expert labeling and associated costs. Foo earned his academic credentials from Stanford University with a BS ('08), MS ('12), and PhD ('17) in Computer Science. During his doctoral studies, he collaborated with prominent researchers including Professors Anshul Kundaje, Daphne Koller, Andrew Ng, and Serafim Batzoglou on machine learning applications in biology. Notably, he took a year away from his PhD to develop software for clinically validated genetic tests at Counsyl, where he worked on variant calling and LIMS integration. Foo's research spans multiple AI domains with a consistent focus on developing machine learning methods that require minimal labeled data. His work encompasses semi-supervised learning, generative models (particularly GANs), computer vision, medical imaging, and computational biology. He has made significant contributions across theoretical foundations and practical applications, especially in healthcare contexts where expert annotation is costly. His publication record shows an evolution from foundational machine learning algorithms to increasingly applied research with strong healthcare connections. Early work focused on hyperparameter optimization and RNA structure analysis, while recent publications address computer vision challenges, GAN training improvements, and medical imaging applications. A unifying theme across his career is the development of techniques that maximize performance with limited labeled data. Foo has received numerous prestigious awards throughout his academic journey: Computing Research Association Outstanding Undergraduate Researcher Award (2008) UCSD Data Mining Contest: 1st, 2nd (2006), 3rd (2007), 2nd (2008) Top 200 ranking on the Putnam Mathematics Competition (2005) President's Award for Academic Achievement in the Freshman Year (2006) Best Paper Award at the 16th International Conference on Genome Informatics (2005) A*STAR National Science Scholarship (2002) Bronze medal at the 33rd International Physics Olympiad (2002) As Deputy Head of Department at I2R, Foo leads a research group focused on data-efficient deep learning. His collaborative approach is evident in numerous co-authored publications across multiple domains, particularly in applying machine learning to biological and medical challenges. His work at A*STAR likely involves significant research funding supporting his team's development of practical AI solutions for real-world problems where data annotation presents significant barriers.

• Erythropoiesis
• Hemoglobinopathies
• Hematopoiesis
• +۵ مورد دیگر

John Cunningham is a Professor in the Department of Pediatrics at the University of Chicago. His research program focuses on hemoglobinopathies, molecular mechanisms of hematopoiesis, leukemia stem cell development, and vertebrate transcriptional regulation. Key projects include developmental erythropoiesis, neural crest gene networks, and allogenic stem cell therapies for sickle cell disease. He maintains collaborative partnerships across developmental biology, informatics, and cancer biology. Education includes: MB BCh BAO in Medicine from University College Dublin (1982) Residency at St. Laurences Hospital, Dublin (1985) Membership of the Royal College of Physicians UK (1986) Hematology Fellowship at Mater Misericordiae Hospital, Dublin (1987) MSc in Biochemistry from Kings College London (1990) Wellcome Fellowship at Royal Free Hospital (1991) Clinical Hematology Fellowship at NIH/NHLBI (1993) Research interests span erythropoiesis, hemoglobinopathies, hematopoietic stem cell biology, neural crest development, sickle cell disease therapeutics, gene regulatory networks, and stem cell transplantation approaches. His work integrates molecular biology with clinical translation. Publication analysis reveals consistent focus on hematologic malignancies, stem cell biology, computational oncology, and pediatric translational research. Recent work emphasizes neuroblastoma biomarkers, stem cell transplantation outcomes, and molecular diagnostics. Scientific honors include: Wellcome Fellowship (1988-1991) Fogarty Fellowship (1991-1993) Pritzker Professorship (2015-2017) Bucksbaum Senior Fellowship (2017-2019) George M. Eisenberg Professorship (2017-2019) Research collaborations span developmental biology, computational genomics, and clinical hematology/oncology. Current projects focus on gene regulatory networks in neuroblastoma and novel stem cell therapies for hemoglobinopathies.

Riccardo Beruttiمشاهده پروفایل

پژوهشگر

• Next-Generation Sequencing (NGS)
• Bioinformatics
• Genomics
• +۶ مورد دیگر

Riccardo Berutti is a Researcher in NGS Bioinformatics at CRS4 (Center for Research, Development and Advanced Studies in Sardinia). He has over 15 years of experience in NGS sequencing, bioinformatics pipeline development, and clinical genomics. Previously, he worked at the Technical University of Munich (TUM) and the Helmholtz Center in Munich. Education: Doctorate from the Sardinian Genome Project (results published in Science ) His research focuses on bioinformatics tool development for clinical variant interpretation (e.g., EVAdb), RNA-Seq analysis, and ISO15189 diagnostic certification processes. He contributes to open-source solutions for LIMS systems and NGS pipelines. Current projects include LIFEMAP (genomic mapping for personalized medicine) and RADAR (advanced oncology diagnostics).

Peter Manoharمشاهده پروفایل

پژوهشگر

• Theoretical Computer Science
• Algorithms
• Coding Theory
• +۴ مورد دیگر

Peter Manohar is a postdoctoral researcher in the Computer Science and Discrete Math group at the Institute for Advanced Study , focusing on Theoretical Computer Science with emphasis on algorithms, coding theory, and cryptography. His work explores spectral algorithms for semirandom and smoothed instances of NP-hard constraint satisfaction problems, linking these methods to coding theory, extremal combinatorics, and cryptography. Education: PhD in Computer Science from Carnegie Mellon University, advised by Venkatesan Guruswami and Pravesh K. Kothari B.S. in EECS from UC Berkeley, advised by Alessandro Chiesa and Ren Ng Research Trends: His recent publications highlight advancements in spectral refutation techniques, locally decodable/correctable codes, and connections between complexity theory and coding. Articles span venues like FOCS, STOC, APPROX, and arXiv, reflecting his interdisciplinary approach. Awards: He has received prestigious NSF and Cylab Presidential Fellowships, along with ARCS scholarships during his PhD. His work on quantum proofs (TCC 2019) and constraint satisfaction problems has been recognized in invited journal special issues. Teaching & Collaboration: Peter has taught courses at Carnegie Mellon, including Quantum Computing and Computer Graphics. He interned at TTIC in Summer 2023 and co-organized CMU's Theory Club, demonstrating active engagement in academic communities.

CHEUNG Yam Leung Lawrenceمشاهده پروفایل

دانشیار

• Syntax
• Semantics
• Syntactic Typology
• +۳ مورد دیگر

CHEUNG Yam Leung Lawrence is an Associate Professor at the Department of Linguistics and Modern Languages, Chinese University of Hong Kong (CUHK), and MA Programme Director. He earned his BA, MSc, and MPhil from CUHK and his PhD in Linguistics from UCLA in 2008. Research Interests Syntax, Semantics, Syntactic Typology Natural Language Processing (NLP), Corpus Linguistics Current Projects Syntax-Phonology Interface in Chinese Right Dislocation Negative Wh-construction Across Languages Wh-placeholders in Cantonese Corpus Annotation and Unlexicalized Parsing His work bridges theoretical syntax with computational methods, focusing on phenomena like mirativity, focus constructions, and synthetic/analytic variation in English comparatives. He has supervised numerous PhD, MPhil, and MA students on topics spanning Cantonese grammar, ellipsis, and code-switching. Prof. Cheung is a Research Fellow at the T.T. Ng Chinese Language Research Centre and Institute of Chinese Studies (CUHK). He is affiliated with professional bodies including the Linguistic Society of America, International Association of Chinese Linguistics, and Linguistic Society of Hong Kong. His teaching portfolio includes courses on syntax, corpus linguistics, and computational methods.

Stefan Canzarمشاهده پروفایل

استاد پژوهشی

• Computational Biology
• Bioinformatics
• Transcriptomics
• +۴ مورد دیگر

Dr. Stefan Canzar leads the Algorithmic Bioinformatics research group at Ludwig-Maximilians-Universität München's Gene Center since 2016, where he develops computational methods for genomic data analysis. His lab focuses on reconstructing biological patterns from fragmented sequencing data using combinatorial optimization and machine learning techniques. Research interests span: Transcriptome reconstruction through methods like CIDANE and Ladder-seq that improve RNA-seq accuracy Single-cell genomics including Sphetcher for cellular heterogeneity analysis and multimodal integration Algorithm engineering for high-dimensional biological data processing Combinatorial optimization applied to omics data integration and network analysis Canzar's publications demonstrate consistent focus on developing scalable algorithms for genomic data challenges, particularly in RNA reconstruction, single-cell analysis, and multimodal integration. His recent work emphasizes dimensionality reduction techniques and transcriptome quantification improvements. Currently funded projects include BAYHOST and DFG collaborative research center LETSIMMUN. As group leader, he mentors doctoral researchers including Alice Descoeudres and Shuang Li. The Canzar Lab develops open-source software tools that have contributed to discoveries in neural development, leukemia research, and immune system regulation through collaborations with medical institutions.

Felix Ngمشاهده پروفایل

دانشیار

• Mathematical glaciology
• Ice-core science
• Ice-stream dynamics
• +۵ مورد دیگر

Dr. Felix Ng is a Reader (equivalent to Associate Professor) in Theoretical Glaciology at the University of Sheffield's School of Geography and Planning. He holds a DPhil in Mathematical Glaciology from the University of Oxford and has held prestigious fellowships at St. John's College (Oxford), MIT, and the University of Otago. His administrative roles include Director of the MSc(Res) Polar and Alpine Change programme (2008–2023) and leadership of the ICERS Research Group since 2023. Research Focus: Dr. Ng integrates mathematical modeling with empirical data to study cryospheric processes across scales—from ice crystals to continental ice sheets. His work spans: Antarctic ice-stream dynamics and radar stratigraphy Diffusion mechanisms in ice-core climate records Glacial hydrology (e.g., jökulhlaups) Martian glaciation and landform evolution Subglacial geomorphology and paleo-ice reconstructions He collaborates globally, with fieldwork in Antarctica, Iceland, and the Himalayas. Publications: Recent articles emphasize ice-core signal preservation, Martian glacial history, and subglacial hydrology, reflecting interdisciplinary approaches combining geophysics, planetary science, and climate modeling. Awards: Royal Society–Fulbright Research Fellowship (2001) Leverhulme Trust Research Fellowship (2017–2018) Croucher Science Image Awards (2021) Teaching & Advising: Dr. Ng teaches glaciology, geospatial analysis, and planetary science modules. He has supervised 12+ PhD/MSc students (e.g., Ben Cornford, Adam Hepburn) and directed the MSc(Res) Polar and Alpine Change, training 150+ graduates. He received a University Senate Award for Teaching Excellence (2010). Leadership: He leads the ICERS Research Group and serves as Associate Editor for Frontiers in Earth Science . Past roles include Scientific Editor for Geology and panelist for the International Thwaites Glacier Collaboration.