جستجوی استاد راهنمای دانشگاهی

Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .

• Distributed Computing
• Fault-Tolerant Systems
• Algorithms
• +۴ مورد دیگر

Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling. His primary research interests include: Computational modeling of child language acquisition Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA) Statistical learning and machine translation Unsupervised grammar learning and lexical relation induction Cross-lingual and cross-domain alignment in language models Evaluation methodologies for NLP systems His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications. Scientific awards include: Outstanding Paper Award at ACL 2017 Area Chair Award for Best Paper in the Track at ACL 2023 He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives. Omri Abend leads several research teams focused on: The development and application of the UCCA framework for semantic annotation Cross-lingual and cross-domain knowledge representation in LLMs Computational modeling of language acquisition Evaluation and improvement of NLP systems Application of NLP to digital humanities and historical testimony analysis

• Computational Linguistics
• Natural Language Processing
• Semantic Representation
• +۹ مورد دیگر

Prof. Ariel Porat is the Alain Poher Professor of Law and current President of Tel Aviv University (2019-present). He holds the Alain Poher Chair in Private Law at the Buchmann Faculty of Law and has served as Dean (2002-2006) and Director of the Cegla Center for Interdisciplinary Research of the Law (1997-2002). He is a member of the Israel Academy of Sciences and Humanities and the American Law Institute, with visiting professorships at the University of Chicago (2003-2019), Stanford, Columbia, NYU, Berkeley, Virginia, and Toronto. LL.B. (magna cum laude), Tel Aviv University (1983) J.S.D., Tel Aviv University (1989) Post-Doctoral Studies, Yale Law School (1990) His research focuses on torts , contract law , and remedies , with recent contributions to personalized law and legal robotics . His work explores the intersection of law and economics , particularly in harm-benefit interactions , disgorgement damages , and private law restoration . His 15 most recent publications (2020-2012) examine topics spanning contractual disclosures , discriminatory government liability , free speech , and empirical legal studies . Themes include economic analysis , legal precision , and data-driven law . EMET Prize (2014) European Law and Economics Association Lifetime Award (2020) Zeltner Prize for Academic Excellence (2012) Chesin Prize (2010) Zusman Prize for Junior Faculty (1991) Prof. Porat has collaborated extensively with scholars like Omri Ben-Shahar, Robert Cooter, and Alex Stein. He founded the journal Theoretical Inquiries in Law and co-authored influential books on personalized legal systems and incentive design .

• Torts
• Contract Law
• Economic Analysis of Law
• +۳ مورد دیگر

Jonathan Kahana is a Researcher in the Computer Science department at the Hebrew University of Jerusalem . His research spans Machine Learning and Computer Vision , focusing on Weight Space Learning , Representation Learning , and Zero-Shot Model Search . He develops methods for probing neural network weights to extract information, including ProbeGen and Spectral DeTuning . His recent work includes mapping model weights into shared embedding spaces (ProbeX), recovering pre-fine-tuning weights of generative models, and improving zero-shot labeling with distribution priors. He contributes to open-source implementations, such as the ProbeGen GitHub repository. Research trends from his publications emphasize: Weight space analysis (ProbeGen, DSiRe) Model retrieval and classification (ProbeLog, Model Atlas) Disentanglement and invariance (Contrastive Objective, Red PANDA) Efficiency in probing (30-1,000x FLOPs reduction in ProbeGen) His work has been accepted at top-tier conferences including ICML , ICLR , and ECCV , with arXiv preprints covering topics like dataset size recovery and model tree analysis.

• Machine Learning
• Computer Vision
• Representation Learning
• +۵ مورد دیگر

Idit Keidar is currently the Dean of the Viterbi Faculty of Electrical and Computer Engineering at the Technion - Israel Institute of Technology, where she also holds the Lord Leonard Wolfson Academic Chair. She received her BSc, MSc, and PhD (all summa cum laude) from the Hebrew University of Jerusalem in 1992, 1994, and 1998 respectively, with Danny Dolev as her PhD advisor. She completed her postdoctoral studies at MIT with Nancy Lynch. Her academic lineage includes notable figures such as Copernicus, Leibniz, Jacob Bernoulli, Euler, Lagrange, Laplace, and Poisson. Keidar's research focuses on fault-tolerant distributed and concurrent algorithms and systems, with particular interest in distributed storage theory and systems, concurrent data structures and transactions, and scalable Byzantine fault-tolerance. She approaches her work with the goal of finding theoretical foundations that can help explain and improve practical implementations. Her research has significant implications for large-scale distributed systems, cloud computing, and multi-core architectures. Keidar has made substantial contributions to the field through her editorial work as editor of the ACM SIGACT News Distributed Computing Column from 2007-2013 (previously co-editing with Sergio Rajsbaum from 2000-2007). Her publications span theoretical foundations, practical applications, and educational aspects of distributed computing. The trends in her work show a consistent focus on bridging theory and practice in distributed systems, with increasing attention to large-scale systems, transactional memory, and Byzantine fault tolerance as these areas have gained practical importance. Scientific Awards and Recognition: Lord Leonard Wolfson Academic Chair Editor of ACM SIGACT News Distributed Computing Column (2000-2013) Keidar has held significant leadership positions in the distributed computing community, serving as PC Chair for PPoPP 2019 and PODC 2018, Organizing Committee Chair for DISC 2013 in Jerusalem, and PC Co-Chair for LADIS 2021. She has been actively involved with the Networked Software Systems Laboratory at the Technion. Beyond her technical work, Keidar is also a creative writer, with a short story winning 2nd place in the Shirat Ha'Mada creative writing contest for scientists.

• Fault-tolerant distributed algorithms
• Concurrent systems
• Distributed storage
• +۵ مورد دیگر

Ido Dagan is a Professor at the Department of Computer Science at Bar-Ilan University , Israel, and founder of the Natural Language Processing (NLP) Lab . He is a Fellow of the Association for Computational Linguistics and served as ACL President (2010) and Executive Committee member (2008–2011), leading the establishment of Transactions of the Association for Computational Linguistics . Dagan’s research focuses on applied semantic processing , including textual entailment , natural semantic representation , multi-text information consolidation , and interactive text summarization . His recent work addresses attributable text generation , summary-source alignment , and cross-sentence argument detection , with applications to fact verification and hallucination detection. Key trends in his publications include cross-document coreference resolution , question-answering systems , semantic parsing , and interactive summarization . Notable collaborative projects involve UI trajectory analysis and long-context QA with Arman Cohan and Jacob Goldberger. Scientific Awards Fellow, Association for Computational Linguistics (ACL) President, ACL (2010) Executive Committee, ACL (2008–2011) Advising & Collaborations Dagan has supervised numerous PhD, MSc, and postdoctoral students since 1997, including Shachar Mirkin and Shmuel Amar . He collaborates with researchers like Ori Ernst , Avi Caciularu , and Aviv Slobodkin , with grants from institutions like IBM Haifa Scientific Center and AT&T Bell Laboratories .

• Natural Language Processing
• Textual Entailment
• Semantic Representation
• +۵ مورد دیگر

Prof. Liran Carmel is a Professor of Genetics at the Hebrew University of Jerusalem's Alexander Silberman Institute of Life Sciences (Faculty of Science). His lab focuses on ancient DNA analysis to study human evolution, paleo-epigenetics, and molecular evolution. Recent work includes reconstructing Denisovan anatomy through epigenetic maps and analyzing Bronze Age population dynamics in the Southern Levant. Research Interests: Decoding genetic and epigenetic changes driving human evolution Reconstructing ancient DNA methylation patterns Studying RNA biology mechanisms like splicing and nonsense-mediated decay Developing computational tools for paleogenomics (e.g., RoAM, Gene ORGANizer) Key Achievements: Identified Denisovan morphological traits through epigenomic analysis Discovered Neolithic-era metabolic adaptations via ancient methylation studies Received the 2021 Massry Prize and 2020 Science Breakthrough award Lab Activities: Current members: 4 PhD students, 1 MSc student, lab managers, and programmers Alumni include 19 researchers now in academia and industry roles worldwide Hosts annual retreats and collaborates internationally on projects like the Punic genome study

• Ancient DNA Analysis
• Human Evolution
• Paleo-epigenetics
• +۵ مورد دیگر

Oren Weimann is a Professor in the Department of Computer Science at the University of Haifa, Faculty of Natural Sciences. His research lies at the intersection of theoretical computer science, algorithm design, and data structures, with a strong focus on planar graphs, combinatorial pattern matching, and fine-grained complexity. He has published extensively in top-tier venues such as STOC, SODA, ICALP, PODC, and ESA. Education: Ph.D., Massachusetts Institute of Technology (MIT), 2005–2009. Advisor: Erik Demaine. Dissertation: "Accelerating Dynamic Programming" Postdoc, Weizmann Institute of Science, 2009–2011. Host: David Peleg M.Sc., University of Haifa, 2004–2005. Advisor: Gad Landau. Dissertation: "Using PQ trees for Comparative Genomics" B.A., Technion – Israel Institute of Technology, 1999–2002 Oren Weimann's research centers on the design and analysis of efficient algorithms, particularly for planar and structured graphs. His work explores fundamental problems such as shortest paths, distance oracles, fault tolerance, edit distance, and pattern matching. He investigates both upper and lower bounds, often pushing the limits of what is computationally feasible under fine-grained complexity assumptions. His contributions include optimal labeling schemes, compressed data structures, and breakthroughs in dynamic and distributed graph algorithms. His recent publications reveal a consistent trend in developing highly efficient algorithms for planar graphs, with a focus on distance computation, fault tolerance, and compression. Keywords across these works include planar graphs, dynamic programming, string matching, and conditional lower bounds, reflecting a deep integration of algorithmic techniques and complexity theory. He frequently collaborates with leading researchers such as Shay Mozes, Paweł Gawrychowski, and Philip Bille. Scientific Awards: Best Paper Award, CPM 2007 Best Paper Award, ICALP 2020 (mentioned in context of work) Oren Weimann has advised numerous PhD and Master’s students, including Yaseen Abd-Elhaleem, Nathan Wallheimer, Aviv Bar-natan, and Shon Feller, whose dissertations have led to publications in major conferences. He has also mentored several postdoctoral researchers such as Shay Golan, Itai Boneh, and Panagiotis Charalampopoulos. His work has been supported by competitive research grants, though specific grant titles are not listed in the text. He has served on the program committees of key conferences including SODA, ICALP, CPM, ESA, and SPIRE, demonstrating active leadership in the theoretical computer science community. He is associated with a vibrant research group focused on algorithms and data structures, likely involving collaboration with students and postdocs on projects related to graph algorithms, string processing, and complexity. While no formal lab name is mentioned, his collaborative output suggests a strong, productive research team at the University of Haifa.

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Data Structures
• +۹ مورد دیگر

Dr. Nir Kalisman is a Senior Lecturer in the Department of Biological Chemistry at The Hebrew University of Jerusalem's Silberman Institute of Life Sciences. His research focuses on structural biology of large protein complexes using cross-linking mass spectrometry (XL-MS) and computational modeling. He leads the Kalisman Lab, which pioneers methods to study protein interactions in systems like the SARS-CoV-2 proteins and neuronal synapses. PhD in Computer Science (Ben-Gurion University, 2008) Postdoc in Michael Levitt's Lab at Stanford University (2008–2013) Research interests include XL-MS method development, integrative structural modeling, and low-resolution crystallography applications. Key projects involve: Deciphering architectures of SARS-CoV-2 proteins (Nsp1, Nsp2, Nucleocapsid) Protein complex studies in neurobiology and transcription Formaldehyde cross-linking chemistry analysis Publications span structural biology innovations and protein interaction studies. Lab members include graduate students and specialists in mass spectrometry. Software contributions include tools for cross-link interpretation and sequence inference from crystallographic data.

• Structural Biology
• Mass Spectrometry
• Computational Structural Modeling
• +۳ مورد دیگر

Dr. Oren Kolodny is a Professor in the Department of Ecology, Evolution & Behavior at the Hebrew University's Silberman Institute for Life Sciences. His research focuses on modeling ecological and evolutionary dynamics, with emphasis on microbiome-host interactions, human prehistory, and conservation biology. He leads a lab exploring topics like species dynamics in fragmented landscapes, cultural evolution, and disease ecology. Key research themes include the role of microbiomes in host adaptation, the ecological mechanisms behind Neanderthal replacement by modern humans, and the application of computational models to microbiome diversity and disease transmission. His work integrates theoretical frameworks with empirical data, addressing both basic science and conservation challenges. Dr. Kolodny's recent publications emphasize interdisciplinary approaches, combining epidemiological modeling (SIR+ models) with evolutionary perspectives on cultural innovation and invasive species dynamics. He collaborates widely, bridging fields such as anthropology, microbiology, and computational biology. His lab actively engages in citizen science initiatives, e.g., amphibian conservation programs in Mediterranean urban areas. Despite no listed awards here, his impactful contributions are evident through prolific publication and cross-disciplinary research activity.

• Ecological Dynamics
• Evolutionary Biology
• Microbiome-Host Interactions
• +۴ مورد دیگر

Dr. Gili Greenbaum is an Assistant Professor at The Hebrew University of Jerusalem's Department of Ecology, Evolution and Behavior. His research focuses on computational population genomics, addressing eco-evolutionary processes through genomic data analysis and mathematical modeling. Key areas include conservation genomics, gene drive technology, and human evolution under disease pressures. He leads a lab with interdisciplinary collaborations, advising students across biology, mathematics, and computer science disciplines. Research emphasizes genomic approaches for endangered species conservation, particularly fragmentation impacts on population genetics. Projects also explore gene drive deployment risks and ecological modeling of ancient human interactions with Neanderthals. His lab develops tools like DORA for ancient DNA visualization and modelRxiv for model sharing. Current projects include predicting conservation risks using machine learning, studying immune-related genomic signatures in human populations, and modeling social evolution dynamics. The lab collaborates with institutions globally and offers training opportunities for graduate students and postdocs in computational biology and theoretical ecology.

• Ecological genomics
• Evolutionary modeling
• Conservation genomics
• +۳ مورد دیگر

Dr. Renana Keydar is an Associate Professor of Law and Digital Humanities at The Hebrew University of Jerusalem, where she serves as Academic Director of the Center for Digital Humanities (DH@HU) and heads the Alfred Landecker Lab for Computational Analysis of Holocaust Testimonies. She holds additional affiliations as a 2024-25 Fellow at Brandeis University's Institute for Advanced Israel Studies and is a core member of Edut 710, Israel's largest civil initiative documenting survivor testimonies of the October 7, 2023 attacks. Her academic credentials include a PhD in Comparative Literature from Stanford University (2015), and magna cum laude degrees in Law and Political Science from Tel Aviv University (2003). Prior to academia, she served as an advocate in Israel's State Attorney's Office - High Court of Justice Department. Keydar's pioneering research bridges computational methods with humanities scholarship, focusing on: Developing AI models for analyzing mass atrocity testimonies using NLP and machine learning Creating trauma-informed digital archives for Holocaust and contemporary crisis documentation Computational analysis of legal narratives in human rights law and international courts Ethical frameworks for applying AI to sensitive historical materials Her scholarly output demonstrates consistent focus on computational jurisprudence, with recent works examining algorithmic analysis of UN human rights recommendations, judicial attitudes toward sexual violence victims, and computational models for Holocaust testimony. Keydar has received the prestigious Alon Fellowship for outstanding young researchers and leads multiple major initiatives: Designing Edut 710's AI-powered testimony platform documenting 1,600+ accounts from October 7 attacks Developing 'distant listening' computational methods for Holocaust testimonies Directing the Future of the Past research group funded by Israel's Ministry of Science

• Digital Humanities
• Computational Text Analysis
• Holocaust Studies
• +۵ مورد دیگر

Prof. Alex Bronstein is a Professor at the Henry and Marilyn Taub Department of Computer Science, Technion – Israel Institute of Technology, where he holds the Dan Broida Academic Chair and heads the VISTA Lab and the Center for Intelligent Systems. He concurrently serves as a Visiting Professor at the Austrian Institute of Science and Technology. His research spans computer vision, machine learning, computational geometry, signal processing, and bioinformatics, with a focus on geometric data analysis and AI applications in science. He has held significant industry roles including Principal Engineer at Intel Corporation, co-founding startups such as Invision (acquired by Intel), VideoCites, and Sibylla. His work bridges academia and industry, emphasizing practical applications of theoretical insights. Research interests include foundational AI models for molecular biology, robust machine learning systems, and interdisciplinary applications in healthcare and robotics. Notable projects include protein structure prediction using AlphaFold integration, adversarial robustness frameworks, and medical imaging innovations like T1-PILOT for MRI acceleration. He actively collaborates with global institutions, maintaining labs in Haifa, Vienna, and Sardinia. Recent publications highlight advancements in quantum computing simulations, wearable health monitoring systems, and AI-driven biomedical solutions. While no explicit awards are listed, his leadership roles and industry impact underscore significant contributions to computational science. He mentors graduate students in his VISTA Lab, focusing on cutting-edge projects in AI, computer vision, and computational chemistry.

• Computer Vision
• Machine Learning
• Signal Processing
• +۵ مورد دیگر

Elad Segev is a Professor in the DAN Department of Communication at Tel Aviv University since 2010. His research focuses on the interplay between information and power, particularly in global contexts. Key areas include international news flow analysis, digital divide studies, and application of semantic network analysis. He earned his PhD from the University of Keele, England. His work explores topics such as country image formation, online search behaviors, and the impact of social media on diplomacy. Collaborations with institutions like the Technion and Yale University highlight his interdisciplinary approach. Education : PhD in Communication Studies, University of Keele (England) Research Interests : Global information flows and their societal implications Provocation narratives in media Network analysis methodologies Science communication and public engagement with science Key Projects : International News Flow Online: Analyzing cross-cultural news biases Google and the Digital Divide: Exploring search engine dynamics Semantic Network Analysis: Developing tools for text analysis Grants : SNF-funded study on news bias detection His lab collaborates with global researchers to advance understanding of digital media’s role in shaping global perceptions and power structures.

• International Communication
• Network Analysis
• Digital Divide
• +۷ مورد دیگر

Erez Petrank is a Professor at the Department of Computer Science , Technion - Israel Institute of Technology , where he holds the Andrew and Erna Viterbi Chair. His research focuses on concurrent computing , programming languages , and systems with an emphasis on memory management . Additional interests include parallelism , cryptography , data structures , approximation algorithms , and distributed computing . Research Trends Recent publications highlight his work on safe memory reclamation (ERA Theorem, VBR), lock-free data structures (queues, stacks, B+ Trees), and persistent memory algorithms (NVTraverse, Mirror). These works span concurrent computing , distributed systems , and memory efficiency in multi-threaded environments. Scientific Awards Distinguished Paper Award at Euro-Par 2015 Contact Information Email: erez@cs.technion.ac.il Office: Taub 528, Technion Phone: +972-73-378-4942

• Concurrent Computing
• Programming Languages
• Memory Management
• +۵ مورد دیگر