ECO2ADAPT: Ecosystem-based Adaptation and Changemaking to Shape, Protect and Maintain the Resilience of Tomorrow’s Forests 31-partner project, PI: A. Stokes (INRAE, France) European Union   HORIZON-CL6-2021-CLIMATE-01-10, Sept. 2022 – Aug. 2027. Role: Participant [info]
	PARSEC: Building New Tools for Data Sharing and Re-Use through a Transnational Investigation of Socioeconomic Impacts of Protected Areas Participating countries: Brazil, France, Japan, United States, Australia, UK, PI: N. Mouquet (CESAB, Montpellier, France) Belmont Forum, Jan. 2019 – Jan. 2023. Role: Participant [info]
	MPA-POVERTY: Can marine protected areas alleviate poverty in the context of land desertification? 6-partner project, PI: Prof. D. Mouillot (MARBEC, Univ. Montpellier 2, France) ANR   French National Agency for Research, Jan. 2020 – Jan. 2024. Role: Work Package Leader [info]
	QUALIHEALTH: Enhancing the Quality of Health Data 7-partner project, PI: Prof. A. Bonifati (LIRIS, Univ. Lyon 1, France) ANR   French National Agency for Research, Feb. 2019 – Jan. 2023. Role: Work Package Leader [info]
	COCLICO: COllaboration, Classification, Incrémentalité et COnnaisssances 6-partner project, PI: Prof. P. Gançarski (ICUBE, Univ. Strasbourg, France) ANR   French National Agency for Research, Feb. 2019 – Jan. 2023. Role: Work Package Leader [info]
	FRESQUEAU: Data mining for assessing and monitoring the hydrobiologic quality of running waters 6-partner project, PI: F. Le Ber (Univ. Strasbourg, France) ANR   French National Agency for Research, Nov. 2011 – Aug. 2013. Role: Task Leader [info]
	EXQUALIBUR: Quality-introspective Data Management System European Marie Curie Outgoing International Fellowship (FP6-MOIF-CT-2006-041000) EU   European Commission, Sept. 2007 – Dec. 2010. Role: Project Leader
	ENTHRONE: End-to-End QoS through Integrated Management of Content, Networks and Terminals, Phase 1 32-partner project, PI: Thales Broadcast France EU   European Integrated Project (FP6-2002-IST-2.3.1.8), Dec. 2003- Dec. 2005. Role: Project Leader [info]
	QUADRIS: Quality of Multi-source Data and Information Systems 6-partner project, PI: Thales Broadcast (Univ. Rennes 1, France) ANR   French National Agency for Research, Dec. 2003 – Dec. 2008. Role: Project Leader

Patents

• Detecting dependence between sources, United States Patent 8190546, issued 5/29/2012 and co-invented with X. L. Dong and D. Srivastava
• Scalable Automatic Repair for minimal change and maximal likelihood, European Patent 12724324.4 issued on May 25, 2012 co-invented with M. Yakout and A. K. Elmagarmid.
• Scalable Automatic Repair for minimal change and maximal likelihood, United States Patent: 9619494 - 13/115.253 issued on April 11, 2017, co-invented with M.Yakout and A. K. Elmagarmid.

Awards

• Member of ELLIS Society, Dec. 2025
• Recipient of the Mobility Grant of TALOS-AI4SSH ERA Chair in Artificial Intelligence for Humanities and Social Sciences, May 2024.
• Promoted to ACM Senior Member Grade, July 2021
• Promoted to IEEE Senior Member Grade, Dec. 2018
• Recipient of Prime d’Encadrement Doctoral et de Recherche, 2018-2021, 2022-2025
• Recipient of William Mong Visiting Research Fellowship, Hong-Kong University, Dec. 2018
• Recipient of Prix de la Ville de Marseille, Accueil de chercheur, 2018
• Recipient of Marie Curie Outgoing International Fellowship 2006 (FP6-MOIF-CT-2006-041000), 3 years funding (2007-2010) from the European Commission (selection rate: 18.8% of 445 submissions)
• Best paper at the 4th Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML) @ KDD 2022 for the paper entitled "In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers" with Lei Xu (MIT) Alfredo Cuesta Infante (Universidad Rey Juan Carlos) and Kalyan Veeramachaneni (MIT). [pdf]
• Best Demo paper at CIKM 2021 for the demo "DORA The Explorer: Exploring Data with Interactive Deep Reinforcement Learning" with A. Personnaz, S. Amer-Yahia, M. Fabricius, S. Subramanian. Proc. of the ACM International Conference on Information and Knowledge Management [pdf]
• Best Paper Award at ICIQ 2011 for the paper entitled "DAQ_UWE: A Framework doe Designing Data Quality Aware Web Applications" with C. Guerra-García, I. Caballero, Laure Berti-Equille, M. Piattini. Proc. of the 16th International Conference on Information Quality (ICIQ 2011), Adelaide, Australia, November 2011
• Best Junior Researcher paper INFORSID (French Conference on Information Systems) for the paper entitled "Qualité de données multi-sources et recommandation multi-critère", INFORSID, 1999

Press

• MIT News of Aug. 13, 2025 on "A new way to test how well AI systems classify text" with L. Xu, S. Alnegheimish, A. Cuesta-Infante (URJC), and K. Veeramachaneni (MIT).
• MIT News of Dec. 9, 2024 on "Enabling AI to explain its predictions in plain language" with A. Zytek, S. Pido, S. Alnegheimish, and K. Veeramachaneni (MIT).
• MIT News of Aug. 14, 2024 on "Explingo: Explaining AI Predictions using Large Language Models" with A. Zytek, S. Pido, S. Alnegheimish, and K. Veeramachaneni (MIT).
• AI Papers Podcast Daily of Dec. 10, 2024 on "MIT researchers use large language models to flag problems in complex systems" with S. Alnegheimish, L. Nguyen, and K. Veeramachaneni (MIT).
• NVIDIA Blog of Aug. 24, 2024 on "LLM Research Rewrites the Role of AI in Safeguarding Sustainable Systems" with A. Zytek, I. Arnaldo, D. Liu, and K. Veeramachaneni (MIT).
• MIT News of June 30, 2022 on "Building Explainability into the Components of Machine Learning Models" with A. Zytek, I. Arnaldo, D. Liu, and K. Veeramachaneni (MIT).

• Keynote entitled "Optimization in Analytical and Scientific Workflows", CNRS headquarters, Paris, France, Oct. 4, 2024. Download: [slides]
• Keynote entitled "Challenges of Multimodal Fusion and Fact-checking", Intelligent Information Systems Seminar, Swedish Defence Research Agency, Stockholm, Sweden, June 4, 2024. Download: [slides]
• Keynote entitled "Data Curation for ML: Toward a Principled Approach", Univ. of Creta UCRC-KEME, Greece, May 15, 2024. Download: [slides]
• Keynote entitled "Data Quality in Environmental and Sustainability Sciences", CNRS headquarters, Paris, France March 29, 2024. Download: [slides]
• Keynote entitled "Data-centric Machine Learning Applied to Sustainability", Federal Univ. of Paraiba, Brazil, March 4, 2024. Download: [slides]
• Keynote entitled "Learning from Small Data in Ecology", Federal Univ. of Paraiba, Brazil, Feb. 16, 2024. Download: [slides]
• H. Patel, S. Guttula, R. S. Mittal, N. Manwani, L. Berti-Equille, and A. Manatkar. Advances in exploratory data analysis, visualisation and quality for data centric AI systems. Tutorial at the International Conference on Data Engineering (KDD 2022), Washington DC, 14-18 August 2022 and AI-ML Systems 2022, Bangalore, India, Oct. 12-15, 2022. Download: [slides]
• L. Berti-Equille, D. Dao, S. Ermon, B. Goswami. Challenges in KDD and ML for Sustainable Development. Tutorial at the International Conference on Data Engineering ( KDD 2021), Sinpapore, 15 August 2021. Download: [website]
• Keynote entitled "Data Curation for ML : Towards a Principled Apporach" at the 1rst Workshop on Data Assessment and Readiness for AI in conjunction with the International Pacific-Asia Conference on Knowledge Discovery and Data Mining (PaKDD 2021), New Dehli, India, 11-14 May, 2021. Download:[slides]
• Keynote entitled "ML-Based Knowledge Graph Curation: Current Solutions and Challenges" at the 5th workshop on Managing the Evolution and Preservation of the Data Web (MEPDAW @ WWWW 2019) in conjunction with The Web Conf 2019. Download:[slides]
• L. Berti-Equille. Reinforcement Learning for Data Cleaning and Data Preparation. Talk at HILDA @ SIGMOD 2019 workshop in conjunction with SIGMOD2019, Amsterdam, The Netherlands, July 2019. Download: [slides]
• Keynote entitled "Machine Learning-Based Data Cleaning: Current Solutions and Challenges" at 21ème Edition du Colloque International sur le Document Numérique CiDE.21, Djerba, April 2019. Download: [slides]
• Laure Berti-Equille, Angela Bonifati, Tova Milo. Machine Learning to Data Management: A Round Trip. Tutorial accepted at the International Conference on Data Engineering (ICDE 2018), Paris, April 2018. Download: [slides]
• Laure Berti-Equille, Javier Borge-Holthoefer. Scaling Up Truth Discovery. Tutorial at the International Conference on Data Engineering (ICDE 2016), Helsinki, May 2016. [abstract] Download: [slides]
• Laure Berti-Equille, Javier Borge-Holthoefer. Veracity of Big Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Tutorial at the 24th ACM International on Conference on Information and Knowledge Management (CIKM 2015), Melbourne, October 2015. Download: [slides]
• Laure Berti-Equille, Tamraparni Dasu. New Directions for Data Quality Mining. Tutorial at the International Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France, June 2009. Download: [slides]
• Laure Berti-Equille, Tamraparni Dasu. Data Quality Mining: New Directions. Tutorial at the 2009 IEEE International Conference on Data Mining (ICDM 2009), Miami, Florida, USA, December 2009. Download: [slides]
• Laure Berti-Equille. Analytics and Probabilistic Approaches for Data Quality, Tutorial presented at the Summer School Big Data CNRS 2014, Oléron, June 2014.
• Laure Berti-Equille. Data Quality for Big Data Analysis, Keynote presented at the Summer School Big Data Analysis in Earth Sciences EarthBiAS 2014, University of Aegean, Rhodes, Greece, July 2014.
• Laure Berti-Equille. Truth Discovery Methods, Keynote presented at the Summer School Big Data Analysis in Earth Sciences EarthBiAS 2014, University of Aegean, Rhodes, Greece, July 2014.
• Laure Berti-Equille. Evaluation of Data and Knowledge Quality in Data Mining. Tutorial presented at the éEGC Winter School on Statistical Machine Learning and Data Mining, Hammamet, Tunisia, February 2010.
• Laure Berti-Equille. "Evaluation of the quality of data and knowledge in data mining", éEGC Winter School on Statistical Machine Learning and Data Mining, Hammamet, Tunisia, February 3, 2010.

• Hadrien Moncomble (Nov. 2024 – Oct. 2025, Alternant ENGIE CRIGEN Lab) co-supervised with C. de Zutter (ENGIE), A. Millon (AMU) "Apprentissage profond pour modéliser le comportement de vol des rapaces et leurs risques de collision avec des éoliennes".
• Sara Mobsite (Sept. 2024 – Present, Postdoc MOSAIC project) co-supervised with J. Guérin, and R. Hostache (IRD): "Deep learning models to predict and detect environmental and health challenges impacting the regions of East Africa and the Amazon".
• Célia Blondin (March 2024 – Aug. 2024, INSA Lyon Internship) co-supervised with J. Guérin, IRD, France: "Modeling Deep Neural Network Performances for Coral Detection from Submarine Images"
• Yifan Zhang (Sept. 2024 – Feb. 2025, UTC Internship) co-supervised with J. Guérin, and T. Cathry, IRD, France: "Unsupervised Learning for Micro-deforestation Detection from Satellite Radar Images"
• Pius Nwachukwu (June 2024 – March 2025) Postdoc, ECO2ADAPT project (2022-2027): "Analysis of forest resilience from satellite immages".
• Robin Jarry (Oct. 2020 – Sept. 2024, Ph.D. thesis of Montpellier Univ.) co-supervised with M. Chaumont, Univ. Nîmes, LIRMM, Montpellier, France and G. Subsol CNRS, LIRMM, Montpellier, France: "Assessment of CNN-based Methods for Poverty Estimation from Satellite Images" .
• Pablo Beriain Telleria (May 2023 – September 2023, Internship with IMBE) co-supervised with S. Gachet, AMU, and A. Bondeau, IMBE, France: "Discovering Transistion Pathways towards Coviability".
• Ali Ben Abbes (Oct. 2020 – Oct. 2021) Postdoc, PARSEC project (2019-2022): "Deep learning for poverty prediction from satellite images".
• Marouane Azibou (Dec. 2020 – Dec. 2021, Ph.D. thesis of Montpellier Univ.) co-supervised with S. Sellami, Univ. Aix-Marseille, France: "Automatiser la gestion de la qualité des flux de données inter-applications par apprentissage semi-supervisé" with INSEPTI company.
• Amina Ferhati (Oct. 2020 – Aug. 2021, PFE internship, ESI Algiers): "Détection de fake news par apprentissage profond".
• Dylan VOISIN (March 2021 – July 2021, internship Master 2 Recherche) with N. Novelli, Aix-Marseille Univ. : "Etude de la robustesse des représentations de type embedding (plongement) par rapport au bruit et au manque de données pour les graphes de connaissances".
• Vinciane LE MAGUET (Feb. 2021 – July 2021, internship Master 2 Recherche) : "Apprentissage par renforcement profond interactif et explicable appliqué à la détection d'anomalies".
• Abdelouahab Chibah (Oct. 2020 – March 2021, Ph.D. thesis of Grenoble Univ.) co-supervised with S. Amer-Yahia, CNRS, IMAG, Grenoble, France: "Mining and querying the evolution of behaviors over time".
• Hussein Khansa (Oct. 2019 – August 2021, Ph.D. thesis of Montpellier Univ.) co-supervised with C. Gervet, Univ. Montpellier, France: "Learning robust constrained model ensembles from large uncertain spatio-temporal data scenarios: the case of the climate impact study on agricultural planning".

@Aix-Marseille University, Marseille, France

• Yanis Gerst (March 2024 – Aug. 2024) M.Sc. Intern co-supervised with S. Sellami, S. Fournier and Grigor Bezirganyan, Aix-Marseille Univ., France: "Noise and Uncertainty Injection for Robustifying Deep Multimodal Learning".
• Hassan Sarwat (March 2024 – Aug. 2024) M.Sc. Intern co-supervised with S. Sellami, S. Fournier and Grigor Bezirganyan, Aix-Marseille Univ., France: "Multimodal Deep Learning with Uncertainty Quantification".
• Madjid Chergui (March 2024 – Aug. 2024) M.Sc. Intern co-supervised with S. Sellami, S. Fournier and Grigor Bezirganyan, Aix-Marseille Univ., France: "Deep Multimodal Data Fusion".
• Alae Bouchiba (March 2024 – July. 2024) M.Sc. Intern co-supervised with S. Sellami, Aix-Marseille Univ., France: "Anomaly detection from Multivariate Data in Medical IoT".
• Nouhaila El Bakioui (March 2024 – July. 2024) M.Sc. Intern co-supervised with N. Novelli and Q. Marcou, Aix-Marseille Univ., France: "Design of Real-time Algorithms for Assisting ICD Coding from multimodal Data".
• Grigor Bezirganyan (Oct. 2022 – present, Ph.D. thesis) co-supervised with S. Sellami and S. Fournier, Aix-Marseille Univ., France: "Data and Decision Fusion with Uncertainty Quantification in ML-based Healthcare Decision Systems".
• Guillaume Chambaret (March 2019 – April 2023, Ph.D. thesis) co-supervised with F. Bouchara, Univ. Toulon, France: "Analyse et prédiction à partir de séries temporelles et recommandation sous contraintes pour la maintenance prédictive".
• Ugo Comignani (Oct. 2019 – August 2020) Postdoc, ANR QualiHealth project
• Victor Polizzi (Feb 2019 – July 2019) M.Sc. Intern Univ. Toulon, France, Projet SEAMED: "Analyse d’éléments de bioacoustique terrestre diurne et nocturne des stations d’enregistrement du Domaine du Rayol" (in French).
• Liliane Kong Win Chang (Mars 2019 – July 2019) M.Sc. Intern Univ. Lyon, France, "Robustness to noise of ML model-agnostic explanation: an empirical study".

@Qatar Computing Research Institute, Doha, Qatar

• Kushal Sha (October 2015 – July 2016) M.Sc. Intern, "Urban computing: traffic density near-future forecasting".
• Mouhamadou Lamine Ba (October 2015 – April 2016), Research Associate (Postdoc), "Truth discovery for Web data and spatio-temporal events".
• Aisha El-Allam (May 2015 – July 2015) M.Sc. Summer Intern, Qatar-CMU, "Traffic Density Prediction based on Bluetooth sensored data".
• Posha Dave (May 2015-July 2015) M.Sc. Summer Intern, Qatar-CMU, "Information Extraction for Truth Discovery".
• Naman Goel (October 2014 – February 2015, Internship) B.Tech, M.Tech in Computer Science & Engineering from Indian Institute of Technology, BHU: "Meta-classifier for truth discovery, explanation and allegation".
• Dalia Attia Waguih (November 2013 – August 2014, Internship), M.Sc. in Computer Science from Alexandria University, Egypt: "Truth discovery algorithms implementation and experimental study".
• Mahmood Neshati, Ph.D. in information retrieval from Sharif University of Technology, Tehran, Iran (May 2014 – August 2014, Internship): "Combining constraint-based approaches with data mining-based approaches for detecting and repairing anomalies".

@Institut de Recherche pour le Développement, France

• Andres Troya (October 2013 – October 2016, Ph.D. thesis) co-supervised with Prof. Gançarski, Strasbourg University, France: "Collaborative Approach and Data and Knowledge Quality in Multi-Paradigm Remote Sensing Image Analysis".
• Hatim Chahdi (October 2013 – July 2017, Ph.D. thesis) co-supervised with Dr Isabelle Mougenot, Montpellier University 2: "Ontology-enhanced data classification".
• Eva Serrano (October 2013 – January 2017, Ph.D. thesis) co-supervised with Prof. Armienta, UNAM, Mexico: "Impact of data quality on the interpretations of statistical analysis results of Environmental Studies: Application to the Evaluation of the impact of emerging pollutants on the quality of the water of the rivers Tula, Taxco, Culiacan and Humaya in Mexico".
• Cesar Guerra, Ph.D., (May 2011 – July 2011, Ph.D. Internship) co-supervised with Dr Ismael Caballero, Univ. Castilla-La Mancha: "A Framework for Designing Data Quality Aware Web Applications".

@University of Rennes 1, Rennes, France

• Anicet Kouomou-Choupo, University of Rennes 1 (December 2002 – February 2006, Ph.D. thesis): "Improving Similarity Search in Very Large Image Databases with Multimedia Mining Techniques".
• Jean-André Benvenuti, University of Rennes 1 (December 2002 – December 2008, Ph.D. thesis): "Intelligent Parsing of XML Pedagogical Materials for Military Staff Training".
• Ravi Jain, University of South Australia (February 2007 – September 2007, Post-Doc): "Quality-Awareness for Data Clustering".
• Yongluan Zhou, National University of Singapore (October 2005 – March 2006, Ph.D. Internship): "Quality-Driven Distributed Query Planning and Optimization Based on Data Quality Negotiation".
• Manuel Bes (September 2001 – June 2002, M.Sc. Internship): "Comparative Study of Association Rule Discovery Algorithms for Genomic Data Mining".
• Anne Charlery (September 2002 – June 2003, M.Sc. Internship): "Indexing Techniques for Genomic Data".
• Mehrez Chaikha-Douaihy (February 2005 – June 2005, M.Sc. Internship): "Optimizing Content-Based Image Retrieval".
• Wilfried Jouve (February 2005 – August 2005, M.Sc. Internship): "Enriching Multimedia Content Description for Broadcast Environments".