جست‌وجوی استاد و پژوهشگر

Dan Garberمشاهده پروفایل

دانشیار

• Machine Learning
• Continuous Optimization
• Large-Scale Data Analysis
• +۲ مورد دیگر

Dan Garber is an Associate Professor at the Faculty of Data and Decision Sciences at the Technion - Israel Institute of Technology. He joined the faculty in 2017 after completing his Ph.D. at the Technion (2015) and a year as a Research Assistant Professor at Toyota Technological Institute in Chicago (2016). His research bridges machine learning, continuous optimization, and algorithm design, focusing on developing efficient methods for high-dimensional optimization with applications in data science and machine learning. Education: B.Sc. in Computer Engineering (2010), Technion M.Sc. in Computer Science (2012), Technion Ph.D. in Computer Science (2015), Technion Garber leads the Technion Optimization Lab (TOL) , which specializes in foundational research on continuous optimization methodologies and their applications in engineering, medicine, and industry. His work emphasizes theoretical guarantees for scalable algorithms, including those used in large-scale data analysis and sequential decision-making systems. Funding & Awards: Israel Science Foundation grants (2018-2022, 2022-2026, ~$250,000 each) ERC Consolidator Grant (2025-2030, ~1.785M Euro) Best Student Paper Award at COLT Conference (2022) with Ben Kretzu Garber supervises graduate students in optimization and machine learning, including M.Sc. and Ph.D. candidates. His laboratory supports research projects and disseminates advancements through workshops, schools, and seminars. Contact: dangar@technion.ac.il | Office: Bloomfield 406

Miri Adlerمشاهده پروفایل

مدرس ارشد

• Tissue Biology
• Cell-Cell Communication
• Fibrosis Research
• +۴ مورد دیگر

Dr. Miri Adler is a Senior Lecturer (Assistant Professor) at the Alexander Silberman Institute of Life Sciences and the Faculty of Medicine at the Hebrew University of Jerusalem, and a visiting scientist at Yale University's Tananbaum Center. Her research focuses on uncovering universal principles of tissue organization and function, particularly in health and disease, with an emphasis on fibrosis, cell-cell communication circuits, and systems-level analysis of complex biological networks. She leads a multidisciplinary team combining theoretical models, computational methods, and experimental data to study tissue repair, homeostasis, and pathological processes like fibrosis. Education: Ph.D. in Physics (Weizmann Institute, 2019), M.Sc. in Physics (Weizmann Institute, 2013), B.Sc. in Physics (Technion, 2010). Previous positions include postdoctoral fellowships at the Broad Institute (MIT/Harvard) and Weizmann Institute, and a visiting scientist role at Yale. Research interests span network hyper-motifs, division of labor in tissues, fibrosis mechanisms, and fold-change detection in biological systems. Key contributions include identifying fibrosis subtypes (‘cold’ and ‘hot’) and developing theoretical frameworks to predict therapeutic targets. Her work integrates concepts from mathematics, computer science, and physics with biology. Scientific awards include the Alon Fellowship (2024), EMBO Excellence in Life Sciences Fellowship (2020), and the Lee A. Segel Prize in Theoretical Biology (2017). The lab actively seeks students and researchers in computational biology, systems biology, and mathematical modeling. Advising: Supervises graduate and undergraduate students in projects related to tissue dynamics, network analysis, and fibrosis modeling. Collaborates with experimental labs to validate theoretical predictions in heart, lung, and liver tissues. Current team includes postdocs, M.Sc. students, and undergraduate researchers. Labs & Teams: The Adler Lab at Hebrew University focuses on multidisciplinary approaches to tissue biology, with a particular emphasis on fibrosis and systems-level tissue organization. Collaborations span institutions including Yale University and the Broad Institute.

Julia Shifmanمشاهده پروفایل

استاد

• Protein Engineering
• Protein-Protein Interactions
• Drug Design
• +۳ مورد دیگر

Prof. Julia Shifman is a Professor in the Department of Biological Chemistry at the Hebrew University of Jerusalem. Her research focuses on computational and experimental protein engineering, particularly redesigning protein-protein interfaces to develop novel therapeutic proteins for cancer, degenerative, and inflammatory diseases. She leads a lab investigating enzyme stabilization (e.g., MMP-9 variants) and structural biology of protein interactions, including cold spot analysis. Education: PhD from the University of Pennsylvania, postdoctoral training at the California Institute of Technology. Current lab members include PhD and M.Sc. students working on drug design, protein-ligand interactions, and microbiology. Collaborations involve computational methods like machine learning and mass spectrometry. Key projects include engineering stable proteases for drug screening and understanding cold spots in protein interfaces to enhance binding specificity. Recent breakthroughs include stable MMP-9 variants and structural insights into cold spot formation.

Avigdor Abelsonمشاهده پروفایل

استاد

• Coral Reef Restoration
• Marine Conservation
• Artificial Reefs
• +۷ مورد دیگر

Prof. Avigdor Abelson is a distinguished marine ecologist at Tel Aviv University's School of Zoology within the Faculty of Life Sciences. His office is located in the Sherman Life Sciences building (room 207), and he maintains active research programs focused on marine ecosystem conservation and restoration. With a career spanning multiple decades, he has established himself as a leading expert in coral reef ecology and sustainable marine resource management. Abelson's primary research interests encompass Coral Reef Restoration , Artificial Reefs , Marine Conservation , Sustainable Aquaculture (particularly Integrated Multi-Trophic Aquaculture), and Tropical Seamount Conservation . His work emphasizes holistic approaches that consider the interconnected nature of marine ecosystems, focusing on identifying stressors, developing restoration tools, and creating alternative livelihoods for coastal communities. His research spans from basic ecological principles to applied conservation solutions, with particular attention to the impacts of human activities on marine environments. Analysis of his recent publications reveals a strong focus on structural complexity in coral reefs, innovative restoration techniques, and the integration of social dimensions into marine conservation. His work demonstrates a consistent progression toward more holistic, ecosystem-based approaches that address both ecological and social dimensions of marine conservation. A significant portion of his recent research examines the potential of Integrated Multi-Trophic Aquaculture systems and explores alternative solutions for degraded marine ecosystems. As a dedicated academic and conservationist, Prof. Abelson works extensively as a consultant for governmental and non-governmental organizations worldwide on a pro bono basis. His research projects include turning degraded coral islands into sustainable social-ecological systems, coral reef restoration through holistic approaches, artificial reef development, tropical seamount conservation, and sustainable aquaculture solutions including Spirulina cultivation in seawater for addressing malnutrition in coastal communities.

Michael Eladمشاهده پروفایل

استاد

• signal processing
• image processing
• machine learning
• +۷ مورد دیگر

Michael Elad is a Professor of Computer Science at the Technion - Israel Institute of Technology, where he has held a permanent faculty position since 2003. He also holds a courtesy appointment in the Technion's Electrical & Computer Engineering Department. Elad received his B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion, followed by a research associate position at Stanford University (2001-2003). His educational background includes: B.Sc. in Electrical Engineering from the Technion (1986) M.Sc. in Electrical Engineering from the Technion (1988), focusing on video compression algorithms under Prof. David Malah D.Sc. in Electrical Engineering from the Technion (1997), focusing on super-resolution algorithms for image sequences under Prof. Arie Feuer Michael Elad's research spans signal and image processing and machine learning, with specialization in inverse problems, sparse representations, deep learning, and generative models. He is particularly renowned for his work on sparse representations, having created the influential K-SVD algorithm together with Michal Aharon and Bruckstein. His 2010 book "Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing" is a leading publication in this field. Elad has also made significant contributions to diffusion models and generative AI, applying these concepts to solve complex problems in signal and image processing. His extensive publication record shows a clear evolution from foundational work on sparse representations to more recent applications in deep learning and generative models. While his early work focused on theoretical aspects of sparse coding and dictionary learning, his more recent publications demonstrate an integration of these concepts with modern deep learning techniques, particularly in the areas of image restoration, super-resolution, and generative modeling. Elad's scientific achievements have been recognized with numerous awards: Rothschild Prize in Engineering (2024) Member of the Israel Academy of Sciences and Humanities (2024) Weizmann Award for contributions in Sparse Modeling (2021) IEEE SPS Sustained Impact Paper Award (2018) IEEE SPS Best Paper Award (2018) IEEE SPS Technical Achievement Award (2018) Fellow of the Society for Industrial and Applied Mathematics (SIAM Fellow) (2018) IEEE Fellow (2012) ERC advanced grant (2013) Throughout his career, Elad has been actively involved in academic service and mentorship. He has served as an Associate Editor for several prestigious journals including IEEE Transactions on Image Processing, IEEE Transactions on Information Theory, and Applied Computational Harmonic Analysis. From 2016 to 2021, he was the Editor-in-Chief for SIAM Imaging Sciences. He has advised numerous students, including Michal Aharon and Yaniv Romano. Elad also headed the Rothschild-Technion Program for Excellence from 2015 to 2018, an undergraduate program for exceptional students. Elad maintains an active research laboratory at the Technion focused on advancing the theory and applications of sparse representations, deep learning, and generative models in signal and image processing. His team continues to push the boundaries of what's possible in image restoration, super-resolution, and other inverse problems in imaging.

• Combinatorics
• Theory of Algorithms
• Geometry
• +۵ مورد دیگر

Nathan (Nati) Linial is a Professor at the School of Computer Science and Engineering at The Hebrew University of Jerusalem, where he has maintained a distinguished academic career spanning several decades. His research bridges multiple mathematical disciplines with theoretical computer science. Linial's primary research interests encompass Combinatorics, Theory of Algorithms, Geometry, Analysis, and Computational Molecular Biology . His work often explores the deep connections between discrete mathematics and computer science, particularly focusing on high-dimensional combinatorial structures, metric embeddings, and their algorithmic applications. His publication record demonstrates consistent contributions across decades, with recent work focusing on high-dimensional permutations, simplicial complexes, graph theory, and coding theory. Linial has developed significant theoretical frameworks for understanding complex combinatorial structures and their geometric representations. Among his notable achievements is being named an AMS Fellow and receiving the 2008 Conant Prize for the influential survey paper "Expander graphs and their applications" co-authored with S. Hoory and A. Wigderson. His research has shaped multiple areas of theoretical computer science and discrete mathematics. Linial has served on the editorial boards of prestigious journals including Israel Journal of Mathematics (where he was Chief Editor 2013-2017), Random Structures and Algorithms , and Combinatorica . He has supervised numerous students throughout his career and maintains active research collaborations worldwide.

Noam Goldbergمشاهده پروفایل

استاد

• Optimization
• Operations Research
• Sparse Optimization
• +۳ مورد دیگر

Professor Noam Goldberg is a faculty member in the Department of Industrial Engineering and Management at the Faculty of Engineering Sciences, Ben-Gurion University of the Negev, joining the university as part of the 2024-2025 academic roster. His appointment marks a return to the Negev region where he spent part of his childhood in Beersheba and Omer. His educational background includes: Undergraduate studies in business administration and computer science at York University and the University of Toronto Master's degree in operations research from Tel Aviv University Doctoral degree from Rutgers University (New Jersey, USA) Postdoctoral research at the Technion, National Institute of Energy (University of Chicago), and Carnegie Mellon University Goldberg's research centers on optimization methods with dual focus on theoretical rigor and practical implementation. His work in sparse optimization develops techniques to identify minimal-variable explanations for complex phenomena, directly applicable to machine learning model simplification and statistical regression analysis. A significant applied focus involves collaborating with oncologists to optimize tumor radiation therapy planning, addressing challenges like biological uncertainty and patient movement through advanced computational models that balance multiple constraints under volatile conditions. He emphasizes the critical synergy between theoretical frameworks and real-world applications, drawing inspiration from Egon Blas' perseverance in mathematical optimization despite extreme adversity. Outside academia, Goldberg values family time and pursues culinary passions including quality coffee, hummus, and wine, occasionally traveling considerable distances for exceptional examples of these specialties.

Tamir Hazanمشاهده پروفایل

دانشیار

• Machine Learning
• Theoretical Machine Learning
• Computer Vision
• +۶ مورد دیگر

Associate Professor Tamir Hazan is a faculty member at Technion - Israel Institute of Technology, where he joined in 2015. His research focuses on theoretical and practical aspects of machine learning, with applications spanning computer vision, natural language processing, and computational biology. His work bridges mathematical foundations with real-world problem solving in complex systems. Professor Hazan received his Ph.D. from the Hebrew University in 2009. His academic trajectory has established him as a leading researcher in machine learning theory and its applications, with a particular emphasis on developing mathematically rigorous approaches to modern AI challenges. Professor Hazan's research centers on mathematically founded solutions to problems demonstrating non-traditional statistical behavior. His work encompasses perturbation models for efficient learning of high-dimensional statistics, deep learning of infinite networks, and primal-dual optimization for high-dimensional inference problems. His research program spans three major interconnected areas: attention models that improve prediction interpretability, perturbation frameworks that integrate optimization and sampling through extreme value statistics, and convex duality approaches to message-passing in graphical models. His work demonstrates both theoretical depth and practical relevance across multiple domains. Analysis of Professor Hazan's recent publications reveals an evolving research trajectory with increasing emphasis on interpretable machine learning, causal modeling, and applications in medical imaging and behavioral science. His work consistently bridges theoretical foundations with practical implementations, with recent publications showing strong connections between perturbation theory, attention mechanisms, and optimization frameworks. The interdisciplinary nature of his research is evident in applications ranging from pedestrian navigation using smartphone sensors to video-text matching systems and medical image analysis. Professor Hazan has mentored numerous students throughout his career, including: Alex Schwing, now Assistant Professor at UIUC Alon Cohen, now Associate Professor at Tel Aviv University Idan Schwartz, currently Postdoc at Tel Aviv University Current Ph.D. students: Guy Lorberbom, Itai Gat, and Hedda Cohen Multiple M.Sc. students including Adi Manos, Ram Yazdi, and others Professor Hazan's research group maintains an active program with several key focus areas: Attention models for interpretable and improved prediction processes in visual question answering and multimodal applications Perturbation models that enable efficient statistical reasoning in complex systems with exponential configuration spaces Markov random fields, convex duality, and message-passing algorithms for structured prediction and distributed computing

Yoav Goldbergمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Syntactic Parsing
• +۵ مورد دیگر

Yoav Goldberg is a Professor in the Department of Computer Science at Bar Ilan University and serves as the Research Director of the Israeli branch of the Allen Institute for Artificial Intelligence. Previously, he was a Research Scientist at Google Research New York. He completed his PhD at Ben-Gurion University in 2011 under the supervision of Prof. Michael Elhadad. His research focuses on Natural Language Processing and Machine Learning, with specific expertise in: Syntactic parsing and structural analysis Development of structured-prediction models Algorithms for greedy decoding optimization Cross-lingual and multilingual understanding Domain adaptation techniques Neural network architectures for NLP tasks He has authored a book on neural network methods for NLP and maintains active contributions through publications, open-source software, and curated datasets.

Shoham Sabachمشاهده پروفایل

دانشیار

• Continuous Optimization: Theory and Algorithms
• Development and Analysis of Optimization Methods
• Applications of Optimization Methods in Engineering and Science

Shoham Sabach is an Associate Professor at the William Davidson Faculty of Data and Decision Sciences, Technion–Israel Institute of Technology. As of August 2022, he is on an extended sabbatical at Amazon Research in the Bay Area, CA, USA. His research focuses on Continuous Optimization, including theory, algorithms, and applications in Engineering and Science. Research Interests : Dr. Sabach specializes in developing and analyzing optimization methods for large-scale problems, with applications across engineering and scientific domains. His work emphasizes bridging theoretical foundations with practical implementations. Awards : Recipient of the 2017 SIAG/Optimization Prize for the PALM paper (co-authored with Marc Teboulle and Jerome Bolte). Advising & Sabbatical : Currently on sabbatical at Amazon Research, no specific grants or advising details are provided in the text. His professional website is hosted at https://sites.google.com/view/ssabach .

Yair Censorمشاهده پروفایل

استاد

• Optimization
• Feasibility Problems
• Medical Imaging
• +۴ مورد دیگر

Yair Censor is a Professor of Mathematics at the University of Haifa, affiliated with the Department of Mathematics within the Faculty of Natural Sciences. His research focuses on optimization, feasibility problems, and their applications in medical imaging and radiation therapy, particularly in proton computed tomography (pCT) and intensity-modulated radiation therapy (IMRT). He pioneered the superiorization methodology , a framework for enhancing iterative algorithms to reduce objective function values while maintaining feasibility. His work spans theoretical contributions to applied mathematics, including projection methods, convex optimization, and perturbation resilience. Censor has collaborated extensively on interdisciplinary projects, such as developing algorithms for proton CT reconstruction and radiation treatment planning. He is associated with the Center for Mathematics and Scientific Computation (CMSC) at the University of Haifa and has contributed to special issues of journals like Inverse Problems and Applied Analysis and Optimization . Notable recent research includes advancements in superiorization for inverse planning in proton therapy, immunity to condition numbers in linear optimization, and floorplanning algorithms using feasibility-seeking methods. His work emphasizes bridging mathematical theory with practical medical and engineering applications.

Amir Boagمشاهده پروفایل

استاد

• Computational Electromagnetics
• Computational Acoustics
• Fast Multilevel Algorithms
• +۵ مورد دیگر

Prof. Amir Boag is a Professor in the Physical Electronics Department of the School of Electrical Engineering at Tel Aviv University. He received his B.Sc. and B.A. degrees Summa Cum Laude in 1983, M.Sc. in 1985, and Ph.D. in 1991, all from the Technion - Israel Institute of Technology. His academic journey includes faculty positions at the Technion (1991-1992), a Visiting Assistant Professorship at the University of Illinois at Urbana-Champaign (1992-1994), and industry experience at Israel Aircraft Industries (1994-1999) before joining Tel Aviv University in 1999. Prof. Boag's research focuses on computational electromagnetics and acoustics, specializing in numerically efficient algorithms, beam representations of fields, radar imaging techniques including Synthetic Aperture Radar, quantum-electromagnetic simulations, and antenna/nano-antenna design. His work bridges theoretical developments with practical applications in electromagnetic and acoustic systems. His research group comprises over ten graduate students working on cutting-edge problems in wave physics. Prof. Boag has published more than 130 journal articles and presented over 300 conference papers. He has been instrumental in organizing the Tel Aviv University Antenna Symposium and Underwater Acoustics Symposium, with the 13th Underwater Acoustics Symposium scheduled for October 23, 2025. IEEE Fellow (2008) for contributions to integral equation based analysis, design, and imaging techniques Fellow of the Electromagnetics Academy Former Associate Editor for IEEE Transactions on Antennas and Propagation Holder of approximately ten patents in electromagnetics and antenna design Prof. Boag's research demonstrates strong continuity in developing efficient numerical methods for electromagnetic and acoustic problems, with increasing focus on quantum-electromagnetic interactions and nano-scale applications in recent years. His work maintains strong connections between fundamental theory and practical engineering applications, particularly in radar and imaging systems.