Prof. Irad Ben-Gal
Lab Head, Professor of Industrial Engineering
Professor Irad Ben-Gal (PhD) is the head of the Laboratory for AI, Machine learning, Business and Data Analytics (LAMBDA) at Tel Aviv University. He is a world-renowned expert in Data Science, AI and Machine learning with more than 25 years of academic and practical experience in those fields, including R&D collaborations with companies such as Oracle, Intel, GM, AT&T, Applied Materials, Siemens, Kimberly Clark and Nokia. He wrote four books, published more than 150 scientific papers and patents, supervised dozens of graduate students and received numerous awards for his work. Irad held a visiting professor position at Stanford University and co-heads the TAU/Stanford University “Digital Living 2030” research initiative that focuses on future challenges of modern digital life. He co-founded CB4 (“See Before”), a startup company backed by Sequoia Capital that provides granular predictive analytics solutions (Acq. by GAP). He is an advisory board member in several startup companies that focus on AI applications.
https://www.linkedin.com/in/irad-ben-gal-4b45824/
AFFILIATED RESEARCH MEMBERS
Prof. Yonathan Mizrachi
Yonathan Mizrachi (Harvard University Ph.D. 1992 in Anthropology) is a professor of Management Information Systems and the head of the department of Sociology and Anthropology (former head of the department of Information Systems) at the Max Stern Yezreel Valley College in the Galilee, Israel. A Data and Social Scientist, Prof. Mizrachi loves complexity and figuring-out blurry riddles via ‘Data sense making’ (modeling) and `data’ painting` (data visualization). Prof. Mizrachi’s academic work is performed under the umbrella term “Anthropology of the Information Age” and covers the study of effective Information Systems deployment strategies, Information Overload, and TRIZ Innovation in relation to IT, BPM and Knowledge Management. His academic work is combined with real-life applied Digital Strategy planning and implementation activities in the private/business, government, military, and the non-profit arenas since 1994. During 2008 he served as a senior research fellow at the BRM institute for Technology and Society at Tel Aviv University, Israel. He is the author of: `From Cave Art to the Smartphone – A cultural history of virtual reality`.
Dr. Barouch Matzliach
Dr. Barouch Matzliach, a retired Brigadier General, holds a Ph.D. in Industrial Engineering from Tel Aviv University, supervised by Prof. Irad Ben-Gal and Dr. Evgeny Kagan. He also earned a B.Sc. in Mechanical Engineering and an M.Sc. in Industrial Engineering, both from Tel Aviv University.
His doctoral research focused on cooperative search using mobile robots equipped with various sensors. Presently, he is engaged in research at LAMBDA, evaluating technologies for implementing multi-sensor fusion on the future battlefield, funded by the Israel Innovation Authority, Ministry of Defense, and IAI (ELTA).
During his 30-year tenure in the IDF, Matzliach specialized in the development and manufacturing of land combat systems. His final position was leading the Merkava & Armored Vehicles program within the Ministry of Defense.
Dr. Eyal Kolman
Dr. Eyal Kolman has been engaged in Machine Learning research for industry, academia, and the Israeli Navy for more than two decades. He received his bachelor’s degree and his PhD from Tel-Aviv University in 1995 and in 2007, respectively. He is the author of Knowledge-Based Neurocomputing: A Fuzzy Logic Approach and is a lecturer at Tel-Aviv University. Dr. Kolman is a senior researcher at Microsoft. His research focuses on developing machine learning applications for Cortana – Microsoft’s personal assistant.
Dr. Noa Ruschin-Rimini
Dr. Noa Ruschin-Rimini is the Founder and Chief Executive Officer of Grid4C. Dr. Ruschin-Rimini has more than 15 years of experience in the software industry. She held several positions in leading software companies, including Head of the Presales Department at Oracle, Sales Manager at IBM, and Business Development Director in several Start-Up companies. Noa holds a PhD in Machine Learning and Data Mining from the Engineering Faculty at Tel Aviv University, specializing in Anomaly Detection and Predictive Analytics of Time Series. She has published papers for prestigious conferences and journals in the field of Machine-Learning, and held a lecturer position.
Dr. Aviv Gruber
Aviv is a DS team lead at Rekor (NASDAQ: REKR), and is a lecturer of Computer Integrated Manufacturing course at Tel Aviv University.
Prior to Rekor, Aviv worked at world-leading companies (Intel, CyberArk, BMT, Huawei), and AI unicorn startups (SparkBeyond, Fabric).
Aviv’s research interests are applications of targeted Bayesian network learning (TBNL) in the area of Smart Transportation, Predictive Maintenance, Supply Chain optimization and Nuclear Engineering.
He was awarded first prize at the IE&M 2010 and third prize at the IE&M 2011 for outstanding research work.
Dr. Hila Chalutz - Ben Gal
Hila Chalutz-Ben Gal, Ph.D., is a Senior Lecturer at Bar-Ilan University in the Industrial & Information Systems Department of the Faculty of Engineering. Her research area spans the engineering and management domains. She studies how digital transformation and disruptive technologies, including AI systems, are changing work and organizations, forming new work environments. She has extensive expertise in human resources analytics (HRA) & people analytics (PA) techniques and their application to real-world work settings. Dr. Chalutz-Ben Gal had served as Principal Investigator in several practical research projects funded by various sources including the Koret Foundation and Israel Defense Forces [IDF]. She has won awards for both research and teaching. She and collaborators have received best paper awards for research in both management and engineering conferences.
Dr. Eugene Kagan
Eugene Kagan earned his MSc in Computer Engineering in 1991, Candidate of Science in Radio Engineering in 2004 (both from Taganrog Radio-Engineering University), and Ph.D. in Industrial Engineering in 2010 (from Tel Aviv University). He has more than twenty years of experience in research and teaching in the fields of applied mathematics and engineering and more than ten years of experience in industrial applications of mathematical methods and software engineering. He is currently a senior lecturer in Ariel University’s Department of Industrial Engineering. Dr. Kagan is the author of more than 50 scientific publications, including two books.
Mr. Itay Yonat
Itai Yonat is a renowned expert on influence defense and cyber-attacks for influence (Cyfluence) backed by years of practical experience. He serves as a trusted advisor for several government offices around the globe. Additionally, he is the founder and CEO of Intercept9500 Ltd – a web intelligence company specializing in identifying, blocking, and recovering from hostile influence campaigns. He is also the Chairman of the 9500 group, which provides end-to-end cyber protection services (influence defense, brand protection, cybersecurity). Itai holds a BA in economics from Tel Aviv University and an MBA from the Technion and is featured in national and international newspapers and routinely invited to speak at cyber related conferences.
Dr. Roee Anuar
Roee Anuar specializes in Recommender Systems. His is an experienced data scientist, solving real life problems and serving as the VP of Science at the Israeli start-up company CB4. He has been working in the IS field for over 15 years. He has vast experience in data mining and machine learning, including programming and implementing new techniques for clustering, classification, personalization, factorization and much more. Roee served in the Israeli Air Force for 6 years and as a BI project manager for 3 years. During this time he gained extensive expertise in designing and building information systems, as well as collecting required information from different sources. This mix of skills enables him to manage and build comprehensive processes of data mining, starting from understanding the needs, designing the solution, collecting the data and building a full-scale operative system.
Dr. Alon Sela
Alon Sela researches the spread of information in modern media, where he focuses on herding dynamics. In his PhD, Alon showed that the extensive use of search engines is expected to reduce the diversity of information in society. Alon developed novel scheduling methods for amplifying viral effects. During his PhD studies, Alon created Spread It as a board game, which was later developed into an AI agent and a digital game. Alon is currently a post-doc student in Prof. Shlomo Havlin’s Complex Systems Lab, where he studies fake news and propaganda spreading. Prior to his PhD, Alon worked as an industrial engineer for over 10 years, and experienced the dynamics of organizational decision processes in large corporations. He also worked as a shepherd for a year, where he encountered herd behavior from an out-of-the-herd perspective. This experience provided the inspiration for the board game. Alon teaches at Ariel University, and lives in Rehovot, Israel with his wife Sharon and their children.
Dr. Yuval Shalev
Dr. Yuval Shalev is a data science researcher with more than 14 years of hands-on and managerial experience in corporates and startups. Specializing in developing and deploying machine learning-based solutions for various applications such as anomaly detection, predictive modeling, and recommender systems. Leading international teams of senior data scientists in the Fintech and automotive industries. Holds M.Sc in physics from the Hebrew university in Jerusalem. His PhD thesis, under the supervision of Prof. Irad Ben-gal and Dr. Amichai Paynsky, focused on the estimation of information theoretic measures using machine learning and deep learning algorithms.
STUDENTS
Doron Cohen
Doctoral Student, Cyber Security
& Internet Mining
Alon Atzil
M.Sc. Student, HR Analytics
Or Wolkomir
M.Sc. Student, Smart Mobility
Lihi Bar-El
M.Sc. Student, Digital Customer Journey
Chen Ben-Gal
M.Sc. Student, Smart Mobility
Yotam Dery
M.Sc. Student, Epidemic Modeling
Jointly with Dr. Dan Yamin
Sharva Gogawale
M.Sc. Student, AI-based Virtual Remote Leering
Shay Matok
MSc Student, Detecting Inauthentic Synchronized
Activities in Social Networks
Maya Arditi
M.Sc. Student, Human Mobility Pattern
Jointly with Dr. Eran Toch
Aviv Notovich
M.Sc. Student, XAI via Design of Experiments
Jointly with Prof. David Steinberg
Or Naim
M.Sc. Student, Cyber Security & ML
Moran Sorka
M.Sc. Student, Smart Mobility
Rinat Levinstein
M.Sc. Student, Social Network Analysis
Jointly with Dr. Alon Sela
Anna Mosenzon
M.Sc. Student, Health Care Optimization
Jointly with Prof. Yossi Bukchin
Mahran Nedal
Doctoral Student,
Federated Learning
Matan Marudi
M.Sc. Student, Decision Trees
Jointly with Prof. Gonen Singer
Carmel Eliash
M.Sc. Student, Cyber Security in ICU
Jointly with Dr. Nir Nissim
Noa Gruber
M.Sc. Student, Anomaly Detection
Jointly with Prof. David Steinberg
Leigh Eytan
M.Sc. Student, XAI over Knowledge Graph
Talya Sassoon
M.Sc. Student,
Personalized Medicine
Nir Ratner
M.Sc. Student, Expert Systems
Madhura Deshpande
Visiting Researcher, Federated Learning
ALUMNI
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Yifat Pinkovich. Ph.D. Sensor Optimization, Jointly with Dr. Tal Raviv
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Dan Avrahami, M.Sc. HR Analytics.
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Lital Zemach, M.Sc. Medical Monitoring.
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Tal Geller, M.S.c. Wireless Body Area Networks. Jointly with with Prof. Eugene Khmelnitsky.
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Yair Bar-David, M.Sc. Wireless Body Area Networks. Jointly with with Prof. Eugene Khmelnitsky.
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Marcelo Bacher (2012 – 2017), Ph.D., “Multi-Variate SPC based on Information Theoretic Data Preprocessing” Advisor: Ben-Gal I.
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Alon Sela (2012– 2017), Ph.D., “Information Flow in Social Networks”, Advisor: Ben-Gal I.
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Elan Sasson (2014-2016), Post-Doctorate, “User Oriented Security: Pattern Identification”
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Ksenya Shulyaev (2015-2016), Post-Doctorate, “Quality of Life & Work-Family-Conflict Measurement in the Workplace”
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Avi Zdayrovsky (2016), “Identification of resistance factors to organizational changes”, Advisors: Kritler S., Ben-Gal I.
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Shiri Gerbi (2016), “Effects of Smartphone usage on users’ daily lives”, Advisors: Kritler S., Ben-Gal I.
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Gabriella Cohen (2015), “Analyzing Mobility Patterns with Zero-Knowledge Routine Diaries”, Advisors: Ben-Gal I., Eran Toch.
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Michal Yaakov (2015), “A Risk Ranking Framework of Web Pages”, Advisor: Ben-Gal I.
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Nancy Yacovzada, (2015), “How to Supervise My Mom: Towards Unsupervised Profiling of Cyber Behavior”, Advisor: Ben-Gal I.
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Shahar Wineshtock (2015), “Clustering users by mobility behavioral patterns”, Advisor: Ben-Gal I.
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Doron Cohen (2015), “Detecting malicious websites by learning visual design attributes”, Advisors: Ben-Gal I., Kritler S.
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Shiva Cohen-Kashi (2015), “Locating the Optimal Project Control Points that Minimize the Project Duration Entropy”, Advisor: Ben-Gal I.
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Shimon Ben-Ishay (2015), “Game for Strategic Spreading of Competing Messages over Social Networks”, Advisor: Ben-Gal I.
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Uri Yovel z”l (2013-2014), Post-Doctorate, “Information Flow in Social Networks”
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Orit Dekis (2014), “Influence of music pieces on judgments and evaluations”, Advisors: Kritler S., Ben-Gal I.
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Avishai Trigalo (2014), “Work Motivation Factors”, Advisors: Kritler S., Ben-Gal I.
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Alex Bodik (2014), Correlations between patient expectations of the service and physician views,” Advisors: Kritler S., Ben-Gal I.
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Adi Goldberg (2014), “The effect of smartphone mobility and connectivity on quality of life,” Advisors: Kritler S., Ben-Gal I.
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Yahal Boimgold (2014) “Biased Decision Making Processes”, Advisors: Kritler S., Ben-Gal I.
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Hila Ben-David (2014) “Happiness, Sadness and Cognitive Performance effects”, Advisors: Kritler S., Ben-Gal I.
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Ayelet Falk (2014) “Required characteristics of external organizational consultants”, Advisors: Kritler S., Ben-Gal I.
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Oren Timan (2014), “Perception of change among a sample of the Israeli population”, Advisors: Advisors: Kritler S., Ben-Gal I.
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Zohar Postelnik (2013), “Optimal Layout of Web Sites for Average Minimal Path Length” Advisors: Ben-Gal I. Tal Raviv.
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Gal Goren (2013) “Probabilistic Search by Multiple Robots”, Advisors: Ben-Gal I., E. Kagan.
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Chavatzelet Tryster (2013) “Design of Mid-level Classification Trees: Fighting the Greedy Effects” Advisor: Ben-Gal I.
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Hila Lavi (2013), “Effect of Shifts in States of Consciousness on Thinking Styles”, Advisors: Kritler S., Ben-Gal I.
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Noa Roshin Rimini (Oct. 2008 – 2012), Ph.D., “Fractal Based Statistical Process Control,” Advisors: Ben-Gal I. and Maimon O.
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Aviv Gruber (2008 – 2013), Ph.D., “An Engineering Approach to Targeted Bayesian Network Learning”, Advisor: Ben-Gal I.
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Dana Kedem(2012), “Automatic Fault Identification via Rough Set Theory and Information Theory”, Advisor: Ben-Gal I.
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Liran Pitchon (2012), “Sensors and Information Gain in Project Management Networks, Advisors: Ben-Gal I., Rozenes S.
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Eli Yofe (2012), Mathematical Model of a Stock Market with Various Information Levels and Psychological Aspects of Investors.
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Ela Malinowski (2011), “Improving Searchability in Peer-to-Peer Networks using Scalable Content Clustering,” Advisors: Yuval Shavit & Ben-Gal I.
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Roey Rosenberg (2010), “Optimal Design of Unreliable Automotive Transfer Lines”. Advisors: Bukchin Y., Ben-Gal I.
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Imry Rosenboum (2010), “Capacity Reallocation in Open Jackson Networks”, Advisors: Ben-Gal I. & Uri Yechiely
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Alon Rapoport (2010), “A Fuzzy Logic Navigation Control of a Mobile Robot,” Advisors: Kagan E. and Ben-Gal I.
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Evgeni Kagan (2004 – 2009), Ph.D., “Parallel search procedures in a dynamic probability space”, Advisor: Ben-Gal I.
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Michal Lissauer (2009), “Pattern Identification in Climate Changes”. Advisor: Ben-Gal I.
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Ofir Goldshtein (2008), “Remote Learning and Control of Robotic and Vision Tasks. Advisors: Ben-Gal I., Bukchin Y.
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Niv Shkolnik (2008), “Construction of Informational Decision Trees”, Advisor: Ben-Gal I.
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Tomer Kahan (2006), “Dynamic Allocation of Jobs to Unreliable Robots in a Production Transfer Line”. Advisors: Bukchin Y., Ben-Gal I.
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Assulin Liron (2006), “Project Management and SCRAM Software Configuration”, Advisors: Ben-Gal I. and Shmilovici A.
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Ido Priness (2005), “On the use of mutual information measure for gene expression clustering analysis”. Advisors: Ben-Gal I., Maimon O.,
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Ayala Shani (2005), “Variable Order Bayesian Networks for DNA Sequence Analysis”. Advisor: Ben-Gal I.
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Keren Zeidenreis-Or (2004), “Gene Finding via Context Learning Models”. Advisors: Ben-Gal I., Shmilovici A.
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Sarit Rosenberg (2004), “Quality-of-Life aspects in the High-Tech Industry”. Advisors: Maimon O., Kritler S., Ben-Gal I.
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Alon Fengshtein (2004): “Systematic Optimization via Virtual Manufacturing” Advisors: Bukchin Y., Ben-Gal I.
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Hila Ginsburg (2003), “An Approach for Designing Experiments in Robust Design Problems”. Advisor: Ben-Gal I.
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Sigal Arviv (2003), “Pattern Classification via Non-Homogenous Variable Order Markov Trees”. Advisor: Ben-Gal I.
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Aran Ziv (2003): “Tests trees: Analysis of the Hu-Tucker vs. the WBT Algorithms for Special Source’s Distributions”. Advisor: Ben-Gal I.
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Gail Morag (2001), “SPC for State Dependent Data”. Advisor: Ben-Gal I.
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Gonen Singer (2001), “Application of Statistical Process Control to Feedback-Controlled Systems Via Context Modeling”. Advisor: Ben-Gal I.
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Noam Grosbard (2001): “A Programming Methodology of Ladder Logic Diagram Using Programmable Logic Controllers”. Advisor: Ben-Gal I.
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Marcel Elbaz (2000): “Ergonomic Analysis & Improvement of Working Environment via Experimentation”. Advisors: Bukchin Y., Ben-Gal I.