Zoltan Miklos

Research interests

News

• October 2023: new PhD student, Johan Le Boursicaud arrives, co-supervised by David Gross-Amblard. I also take the thesis direction of Arthur Hoarau (last year of his thesis), as his thesis director Arnaud Martin passed away
• June 2023: PhD defense of Mathieu Chambe details
• January 2023: PC member of ACM SIGKDD'2023: the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Applied Data Science track)
• December 2022: PhD defense of Maria Massri details
• PC member at EGC'2023
• PC member at DSAA'2022: the 9th IEEE International Conference on Data Science and Advanced Analytics
• March 2022: New paper at ICDE'2022: Maria Massri, Zoltan Miklos, Philippe Raipin, Pierre Meye. Clock-G: A temporal graph management system with space-efficient storage technique
• PC member of CIKM'2022: 31st ACM International Conference on Information and Knowledge Management
• February 2022: welcome to my two new PhD studens who will start their thesis in the next days: Aymen Bazouzi (Clara project), Erwan Vincent (CIFRE KEOLIS)
• 1st January 2022: we start a new project on AI and education: the Clara project, financed by CominLabs
• PC member of ACM SIGKDD'2022: the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Applied Data Science track)
• 19 Nov 2021: I was re-elected as a member of the council of IRISA (5 years, from January 2022)
• November 2021: A new PhD position is available: details
• 28th October 2021: Rituraj Singh, my former PhD student, has received the prize Prix de these BDA'2021
• October 2021: I started supervising the PhD thesis of Matthieu Chambe, 3rd year PhD student
• PC member at EGC 2022
• New paper: Rituraj Singh, Loic Helouet, Zoltan Miklos. Reducing the Cost of Aggregation in Crowdsourcing. Transactions on Large-Scale Data and Knowledge-Centered Systems. XLIX. LNCS, vol 12920, pp. 33-69.
• PC member at WSDM2022: The Fifteenth International Conference on Web Search and Data Mining
• PC member at CIKM'2021: 30th ACM International Conference on Information and Knowledge Management
• New paper with Rituraj Singh and Loic Helouet: Cost and Quality in Crowdsourcing Workflows at Petri nets'2021 (Application of Concurrency to System Design)
• I serve as the president of the Organising committee of the BDA'2021 conference (Gestion de donneés - Principles, Technologies, Applications) - the French annual conference on data management
• Ian Jeantet has sucessfully defended his thesis on the 5th January 2021
• PC member at SIGKDD'2021: 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Applied Data Science Track)
• PC member at DSAA'2021: the 8th IEEE International Conference on Data Science and Advanced Analytics
• October 2020: University of Rennes 1 plans to participate the SWERC programming contest. We have started the training sessions.
• Since September 2020, I lead the DRUID research team at IRISA
• PC member at EGC'2021
• The video of my HDR presentation is available here.
• My students have completed some interesting projects. Details here (in French)
• PC member at the 14th ACM International Conference on Web Search and Data Mining, WSDM'2021
• I was elected as a member of the council of IRISA, for the period 5/6/2020-31/12/2021
• PC member at the 7th IEEE International Conference on Data Science and Advanced Analytics, DSAA'2020
• New paper at Petri nets'2020
• PC member at CIKM'2020
• My HDR defense: From databases to artificial intelligence. When? 6th March 2020, 9:30am, Where? IRISA Rennes, salle Petri-Turing
• University of Rennes 1 teams achieved excellent results at SWERC: 21st place for UnivRennes ISTIC and 54th for UnivRennes ESIR. See also here or here.
• January 2020: New paper at IDA 2020 with Ian Jeantet and David Gross-Amblard: Overlapping hierarchical clustering
• January 2020: University of Rennes 1 participates in the ACM International Collegiate Programming contest. I am one of the coaches. Allez les equips UnivRennes!
• December 2019: New paper at ICWS'2020: Rituraj Singh, Loic Helouet, Zoltan Miklos. Reducing the Cost of Aggregation in Crowdsourcing
• October 2019: New PhD students: Maria Massri and Francois Mentec

Short bio

I am an associate professor (maitre de conferences HDR) in computer science at the University of Rennes 1. Before joining the university, I worked as a postdoctoral researcher at EPFL, in Switzerland. I completed my doctoral studies in computer science at University of Oxford. I used to work as a research assistant at the Database and Artificial Intelligence Group, of the Vienna University of Technology, at the Vienna University of Economics and at the Distributed Systems Group at the Vienna University of Technology. I pursued my undergraduate studies at the University ELTE, in Budapest, Hungary.

I am a senior member of the ACM. I am also a member of some ACM special interest groups: on management of data SIGMOD, on Knowledge Discovery and Data Mining SIGKDD and on artificial intelligence SIGAI.

Teaching

ESIR

• Introduction à l'intelligence artificielle (Introduction to Artificial intelligence) (ESIR1)
• Data management for BigData
• Bases de données (Databases) (ESIR1 INFO)
• Bases de données (Databases) (ESIR1 TIS)
• Project in Mathematics
• Projects in computer science

ISTIC MIAGE

• Artificial intelligence / Deep learning
• Modellig and discrete optimisation (Modelisation et Optimisation Discrete MOD)

Past courses

ENS Rennes

• Databases (2012-2018)

ESIR

• Intelligence artificielle (Artificial intelligence) (ESIR2)
• Théorie des langages (Formal language theory) (2012-2017)
• Bases de données avancées (Advanced databases) (2012-2017)
• Fouille de données (Data mining)
• Project in artificial intelligence. See some examples here (2020) or here (2019).

ISTIC Master Science Informatics

• Data and knowledge management

Projects

With the company ALTEN could domain experts become software developers, without training in programming, through the use artificial intelligence.

We try to understand the factors that influence the quality of a bus network service

In the Clara project propose novel methods for combining open educational resources, with the help of methods from artificial intelligence.

Past projects

In the HEADWORK project we try to realize workflows of crowdsourcing tasks.

We collaborate with OrangeLabs to develop methods to store large dynamic graphs that represent the connection networks of IoT devices.

With the company ALTEN we explore how to use artificial intelligence methods for human resources tasks, in particular, in the context of consulting.

In the Epique project we develop methods to map the evolution of scientific fields, based on large-scale publication datasets.

Pharmaco-Epidemiologie des Produits de Sante (PEPS) ANSM

MASTODONS ARESOS: Reconstruction, Analyse et Acces aux Donnees dans les Grands Reseaux Socio-Semantiques (Grandes masses de donnees scientifiques - CNRS)

Publications

• Maria Massri, Zoltan Miklos, Philippe Raipin, Pierre Meye. Glock-G: A temporal graph management system with space efficient storage technique. ICDE'2022
• Maria Massri, Zoltan Miklos, Philippe Raipin, Pierre Meye. RTGEN: A Relative Temporal Graph GENerator. DataPlat'2022: 1st International Workshop on Data Platform Design, Management, and Optimization Co-located with EDBT/ICDT 2022
• Rituraj Singh, Loic Helouet, Zoltan Miklos: Cost and Quality in Crowdsourcing Workflows at Petri nets'2021 (Application of Concurrency to System Design)
• Rituraj Singh, Loic Helouet, Zoltan Miklos, Pierre Bourhis. Data Centric Workflows for Complex Crowdsourcing Applications. Petri nets'2020 (Petri nets'2020)
• Ian Jeantet, Zoltan Miklos, David Gross-Amblard. Overlapping hierarchical clustering. 18th Symposium on Intelligent Data Analysis (IDA'2020)
• Rituraj Singh, Loic Helouet, Zoltan Miklos. Reducing the Cost of Aggregation in Crowdsourcing. 2020 International Conference on Web Services (ICWS'2020)
• Nguyen Quoc Viet Hung, Matthias Weidlich, Trans Tam Nguyen, Zoltan Miklos, Karl Aberer, Avigdor Gal, Bela Stantic. Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models. Information Systems 83: pp. 166-180 (2019)
• Panagiotis Mavridis, David Gross-Amblard, Zoltan Miklos. Using Hierarchical Skills for Optimized Task Assignment in Knowledge-intensive Crowdsourcing. 25th International World Wide Web Conference (WWW 2016)
• Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Chau Vinh Tuan, Tri Kuriawan Wijaya, Zoltan Miklos, Karl Aberer, Avigdor Gal, Matthias Weidlich. SMART: A tool for analyzing and reconciling schema matching networks (demo paper). 31th International Conference on Data Engineering (ICDE 2015). 13-15 March, Seoul, Korea.
• Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Zoltan Miklos, Karl Aberer. Reconciling Schema Matching Networks Through Crowdsourcing. EAI Endorsed Transactions on Collaborative Computing 14 (1): e2 (long version of our DASFAA13 paper)
• Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Zoltan Miklos, Karl Aberer, Avigdor Gal, Matthias Weidlich. Pay-as-you-go Reconciliation in Schema Matching Networks. 30th International Conference on Data Engineering (ICDE 2014). 31 March - 4 April 2014, Chicago, IL, USA.
• Nguyen Quoc Viet Hung, Xuan Hoai Luong, Zoltan Miklos, Tho Thanh Quan, and Karl Aberer. Collaborative Schema Matching Reconciliation. 21st International Conference on Cooperative Information Systems (CoopIS 2013), 11-13 Sept 2013, Graz, Austria
• Avigdor Gal, Michael Katz, Tomer Sagi, Matthias Weidlich, Karl Aberer, Zoltan Miklos, Nguyen Quoc Viet Hung, Eliezer Levy, Victor Shafran. Completeness and Ambiguity of Schema Cover. 21st International Conference on Cooperative Information Systems (CoopIS 2013), 11-13 Sept 2013, Graz, Austria
• Quoc Viet Hung Nguyen, Tri Kurniawan Wijaya, Zoltan Miklos, Karl Aberer, Eliezer Levy, Victor Shafran, Avigdor Gal and Matthias Weidlich. Minimizing Human Effort in Reconciling Match Networks. 32nd International Conference on Conceptual Modeling (ER 2013), 11-13 November 2013, Hong Kong, China
• Nguyen Quoc Viet Hung, Xuan Hoai Luong, Zoltan Miklos, Tho Quan Thanh, Karl Aberer. An MAS Negotiation Support Tool for Schema Matching (Demonstration). Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2013). 6-10 May 2013, Saint Paul, Minnesota, USA
• Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Zoltan Miklos, and Karl Aberer. On Leveraging Crowdsourcing Techniques for Schema Matching Networks. Proceedings of the 18th International Conference on Database Systems for Advanced Applications (DASFAA'2013), April 22-25, 2013, Wuhan, China. This paper is also presented at the French national conference on databases BDA'2013 (informal proceedings only).