Program at a Glance
Day 1 - Workshops & Advanced Seminars, Monday, June 29, 2026
Detailed Workshops Program
08:00 Registration Open
09:00 – 10:15 Workshops: MuseKDE/ DigiTwinsAI
10:15 – 10:45 Coffee Break
10:45 – 12:30 Workshops: MuseKDE/ DigiTwinsAI
12:30 – 13:30 Lunch
13:30 – 15:00 Workshops: DCSSL/SIDS
15:00 – 15:15 Coffee Break
15:15 – 16:00 Workshop: SIDS
15:15 – 18:00 Tutorial 2: Human-enabled Edge Computing: Convergence of Mobile CrowdSensing and Multi-access Edge Computing for Next-Generation Smart Systems
Luca Foschini (University of Bologna)Michele Girolami (ISTI-CNR)
16:30 – 17:45 Tutorial 1: Spatial Fairness in Algorithmic Decision Making: Concepts, Detection, and Mitigation
Dimitris Kyriakopoulos (Athena Research Center, Greece)Dimitris Sacharidis (Université Libre de Bruxelles, Belgium)
Giorgos Giannopoulos (National Observatory of Athens and Athena Research Center, Greece)
Day 2 - Conference: Tuesday, June 30, 2026
Location: Argyriadis Auditorium
08:00 Registration Open
08:45-9:00 Opening Remarks
09:00 – 10:15 Keynote- Ravi Kumar
Session Chair: Dimitrios Gunopulos10:15 – 10:45 Coffee Break
10:45 – 12:45 Research Session 1
R* - Regular paper – 18 minutesS* - Short paper – 12 minutes
Session Chair: Panos Chrysanthis
R1-RL-MINDS: Reinforcement Learning for Mobility-induced Duty-Cycles in WSN for Underground Mines
Manish Yadav (Missouri University of Science & Technology, USA); Mohamed Elmahallawy (Washington State University); Sanjay Madria (Missouri University of Science & Technology, USA)*; Samuel Frimpong (Missouri University of Science & Technology, USA)
R2-Duration-constrained Interval Joins
Naoya Ehara (The University of Osaka); Daichi Amagata (The University of Osaka)*
R3-Understanding Artifacts of Parallel Micro-Traffic Simulation
Joon-Seok Kim (Emory University)*; Gautam Thakur (Oak Ridge National Laboratory); Carter Christopher (Oak Ridge National Laboratory)
R4-Indexing and Search Algorithms for Large Language Models on the Edge
Konstnatin Krasovitskiy (University of Cyprus)*; Stelios Christou (University of Cyprus); Demetrios Zeinalipour-Yazti (University of Cyprus); Andreas Konstantinidis (Frederick University)
S1-General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Mattis thor Straten (Kiel University); Yannick Wölker (CAU Kiel University)*; Steffen Strohm (Kiel University); Prathvish Mithare (ZBW – Leibniz Information Centre for Economics); Ralf Krestel (ZBW – Leibniz Information Centre for Economics); Matthias Renz (Kiel University)
S2-A Collision-Risk-Aware Skyline Routing Framework for Maritime Navigation
Patrik Michalski (Kiel University)*; Niko Preuß (Kiel University); Matthias Renz (Kiel University); Andreas Tritsarolis (University of Piraeus); Nikos Pelekis (University of Piraeus); Yannis Theodoridis (University of Piraeus)
S3-GeoBenchr: An Application-Centric Benchmarking Suite for Spatiotemporal Database Platforms
Tim Rese (TU Berlin)*; Nils Japke (TU Berlin); Diana Baumann (TU Berlin); Natalie Carl (TU Berlin); David Bermbach (TU Berlin)
12:45 – 14:00 Lunch
14:00 – 15:15 Keynote- Evaggelia Pitoura
Session Chair: Vimal Kumar
On the Many Facets of Fairness and Explainability in Data-Intensive AI Systems
Speaker: Prof. Evaggelia PitouraProfessor, CEID, University of Ioannina, Lead Researcher, Archimedes Research Unit, ATHENA RC
Details
15:15 – 15:30 Coffee Break
15:30 - 17:00: Research Session 2
R* - Regular paper – 18 minutesS* - Short paper – 12 minutes
Session Chair: Dimitrios Zeinalipour
R1-Context-Enriched Natural Language Descriptions of Vessel Trajectories
Kostas Patroumpas (Athena Research Center)*; Alexandros Troupiotis-Kapeliaris (University of the Aegean); Giannis Spiliopoulos (University of the Aegean); Panagiotis Betchavas (Archimedes/Athena RC); Dimitrios Skoutas (Athena RC); Dimitris Zissis (University of the Aegean); Nikos Bikakis (Hellenic Mediterranean University)
R2-PoGTR: A Game-Theoretic Blockchain Consensus for SLA Management in Edge-IoT System
Asneem Muneera Prottyasha (Missouri University of Science & Technology, USA); Sanjay Madria (Missouri University of Science & Technology, USA)*
R3-RouteGenLLM: Road-Aware Realistic Trajectory Generation using Large Language Models
Apratim Sen (University of Calgary)*; Reza Safarzadeh (University of Calgary); Jeong-Woo Kim (University of Calgary); Xin Wang (University of Calgary)
S1-TrajGen: Approaches to the Artificial Generation of Conceptual Trajectory Datasets
Paul Walther (Technical University of Munich)*; Balthasar Teuscher (Technical University of Munich); Xuanshu Luo (Technical University of Munich); Martin Werner (Technical University of Munich)
S2-Interactive Mining of Co-location Patterns in Mobile Environments via Active Few-shot Learning
Xuguang Bao (Guilin University of Electronic Technology)*; Xipeng Liu (Guilin University Of Electronic Technology); Liang Chang (Guilin University of Electronic Technology); Yaojun Cai (Guangxi Key Laboratory of Digital Infrastructure); Xinyong Peng (Guangxi Key Laboratory of Digital Infrastructure)
S3-Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
Ren Ozeki (Osaka university)*; Hamada Rizk (The university of Osaka); Hirozumi Yamaguchi (The University of Osaka)
17:00 – 18:00 Demos and Posters
Session Chair: Dimitris Sacharidis1. Seagull: Data-Driven Maritime Traffic Analysis
Christian S. Jensen (Aalborg University); Hengyu Liu (Aalborg University); Kristian Torp (Aalborg University)*; Kasper F. Pedersen (Aalborg University); Ove Andersen (Danish Geo Agency); Jonas Madsen (Danish Geo Agency); Niels B. Nielsen (Danish Geo Agency)
2. EcoCharge+: A Platform for Sustainable EV Charging using Micro Grids
Eleni Michala (University of Warwick); Soteris Constantinou (University of Cyprus); Constantinos Costa (Rinnoco); Andreas Konstantinidis (Frederick University); Mohamed F. (Mokbel); Demetris Zeinalipour (University of Cyprus)*
3. Tackling Data Scarcity: A Controllable Synthetic Data Generation Framework for Force-Displacement Curves
Patrik Michalski (Kiel University)*; Frederik Fonger (Kiel University); Daniel Luca Hahn (Fraunhofer Institute for Machine Tools and Forming Technology IWU); Agnes Koschmider (University of Bayreuth)
4. A Comparative Study of MLM BERT-Based Models for Trajectory Representation Learning
Amir Badawi (IGN)*; Ana-Maria Olteanu-Raimond (IGN, LASTIG); Arnaud Le-Guilcher (IGN, LASTIG); Karine Zeitouni (UVSQ, David Lab)
5. A Taxonomy-Driven Visual Analytics System for Exploring Unlabeled Trajectory Data
Hanono Cozzetti, Ivan Ariel; Powley, Benjamin; Messias Martins, Rafael; Kerren, Andreas; G. Linhares, Claudio D.; Soares, Amilcar*
6. A User-Configurable Navigation System for Wideness and Turn-Aware Routing
KOUSIK KUMAR DUTTA (IIT Ropar)*; Venkata M. V. Gunturi (Loughborough University)
7. VFWR: Charting the Optimal Voyage
Karampasi, Aikaterini*; Kouvaras, Andreas; Stavropoulos, Dimitris; Artikis, Alexander
8. FL-Net-Sim: A Practical Framework for Scalable Network Simulation of Federated Systems
Panagiotis Sklavos (Athena Research Center)*; Antonios Deligiannakis (Technical University of Crete)
9. LOMAD: Local Anomaly Detection in Maritime Trajectories Using LSTM Prediction and Visual Analytics
Martim Oliveira (Linnaeus University)*; Gabriel Spadon (Dalhousie University); Cláudio Linhares (Linnaeus University); Amilcar Soares (Linnaeus University)
10. The CoDiet Messaging App: A Mobile App for Transmitting Personalized Dietary Event Alerts
Michail Tsenos (Athens University of Economics and Business, Greece) Christos Gunopulos (Moraitis School, Greece) Vana Kalogeraki (Athens University of Economics and Business, Greece)*
11. HFedBike: A Hybrid Federated Learning System for Urban Bike-Sharing Demand Forecasting
VONITSANOS, GERASIMOS*; Andrianopoulos, Nikos; Komninos, Andreas; Sioutas, Spyros
12. NeuralForge: Automated LLM Compression via AI Agents
Yussif, Gyanko*; Sultana, Tasnia; Ali, Mohamed; Hendawi, Abdeltawab
13. TrajGen: Demonstrating a Tool for Interactive Trajectory Generation in the Browser
Walther, Paul*; Luo, Xuanshu; Teuscher, Balthasar; Werner, Martin
18:15 Conference Reception
Day 3 - Conference: Wednesday, July 1, 2026
Location: Argyriadis Auditorium
08:00 Registration Open
09:00 – 10:15 Keynote- Cyrus Shahabi
Session Chair: Vana Kalogeraki
Transforming Mobility: From Next-Visit Prediction to a Mobility Foundation Model
Speaker: Prof. Cyrus ShahabiProfessor of Computer Science, Electrical Engineering and Spatial Sciences, and the chair of the Computer Science Department, Director of the Integrated Media Systems Center (IMSC) and the Informatics Program at USC’s Viterbi School of Engineering.
Details
10:15 – 10:45 Coffee Break
10:45 - 12:45 : Research Session 3
R* - Regular paper – 18 minutesS* - Short paper – 12 minutes
Session Chair: Dimitrios Tomaras
R1-Semantically Diverse Convoys
Abdullah Shamail (Iowa State University)*; Goce Trajcevski (Iowa State University); Ashfaq Khokhar (Iowa State University); Andreas Zufle (Emory University)
R2-TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
SIYU LI (Emory University)*; Toan Tran (Emory University); Lingyi Zhao (Novateur Research Solutions); Khurram Shafique (Novateur Research Solutions); Li Xiong (Emory University)
R3-Quantifying the Robustness of Smart Street Parking Assignment to Sensor Noise
Behafarid Hemmatpour (IMDEA Networks Institute)*; Javad Dogani (IMDEA Networks Institute); Nikolaos Laoutaris (IMDEA Networks Institute)
R4-Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation
Chiharu Shima (bitA Inc.); Haruki Yonekura (The University of Osaka); Fukuharu Tanaka (Osaka University)*; Tatsuya Amano (The University of Osaka); Hirozumi Yamaguchi (The University of Osaka)
S1-WaveSpec-DeiT: A Wavelet-Inspired Spectral Transformer for RF-Based UAV Identification
Prajoy Podder (Missouri University of Science & Technology, USA); Maciej Zawodniok (Missouri University of Science & Technology, USA); Sanjay Madria (Missouri University of Science & Technology, USA)*
S2-MambaLoc: Lightweight Indoor Localization Using Cross-Modal Knowledge Distillation
Mohab Ahmed Atteya Hamada Bahnassy (American University in Cairo)*; Omar Mokhtar Gaber Sakr (American University in Cairo); Hamada Rizk (Osaka University); Moustafa Youssef (American University in Cairo)
S3-Surrogate-Guided Graph Policy Learning for Real-Time Coordination of Mobile Agents
Hamada Rizk (Osaka University)*; Yui Maruyama (Osaka University); Akira Uchiyama (Osaka University); Akihito Hiromori (Osaka University); Hirozumi Yamaguchi (Osaka University); Sumio Morioka (Interstellar Technologies Inc.); Takahiro Inagawa (Interstellar Technologies Inc.)
12:45 – 14:00 Lunch
14:00 – 15:15 Invited Talk- Georgia Koutrika
Session Chair: Chiara Renso & Ioanna Kantzaveou
Will AI Conquer the World - or at Least Data Management?
Speaker: Dr. Georgia KoutrikaResearch Director at Athena Research Center
Details
15:15 – 15:30 Coffee Break
15:30 - 17:00 : Research Session 4
R* - Regular paper – 18 minutesS* - Short paper – 12 minutes
Session Chair: Karine Zeitouni
R1-CoBlockGCL: Community-aware Block-Spectral Graph Contrastive Learning for POI Recommendation
Jiqiang Wang (Joint Graduate School of Mathematics for Innovation, Kyushu University, Fukuoka, Japan)*; Kei Hirose (Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan)
R2-Adaptive Edge Context Caching Framework for Context-Aware Mobile IoT Applications [best paper award]
Ashish Manchanda (Swinburne)*; Prem Prakash Jayaraman (Swinburne); Abhik Banerjee (Swinburne); Arkady Zaslavsky (Deakin)
R3-Temporal Tracking of Ocean Eddies with Vortex Correlation Clustering
Nelson Tavares de Sousa (Kiel University); Yannick Wölker (CAU Kiel University)*; Matthias Renz (Kiel University)
S1-Diffusion-Based Discovery of Spatio-Temporal Flow Patterns
Niehao Chen (The University of Hong Kong, China); Reynold Cheng (The University of Hong Kong)*; Yong-Hong Kuo (The University of Hong Kong); Songyi Cui (The University of Hong Kong)
S2-Exploring Learned Data Reduction for Energy Savings on Battery-Powered Edge Devices
Kartik Hans (University of Pittsburgh)*; Brian T. Nixon (University of Pittsburgh); Panos K. Chrysanthis (University of Pittsburgh)
S3-Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
Amirhossein Ghaffari (University of Oulu)*; Saeid Sheikhi (University of Oulu); Ekaterina Gilman (University of Oulu)
17:00 - 18:00 Panel Discussion: The Physical Turn: Mobile Data Management in the Age of Physical AI
Moderators: Takahiro Hara (Osaka University)Theodore Dalamagas (Athena Research Center)Panelists: Prof. Sanjay Madria, Missouri University of Science and Technology, USA
Prof. Demetris Zeinalipour, University of Cyprus, Cyprus
Prof. Hamada Rizk, The University of Osaka, Japan, and RIKEN Center for Computational Science, Japan
Dr. Aris Lalos, Research Director, Athena Research Center; CEO & Founder, OmniLoc.ai
Dr. Afroditi Sevasti, CEO, Greek AI Factory Pharos S.A.
20:00 Banquet
The MDM2026 Banquet, bringing together all attendees, will take place at the Benaki Museum restaurant, located atop the historic neoclassical Benakis mansion with spectacular views of the Acropolis, the National Gardens, and the Athens skyline.Day 4 - Conference: Thursday, July 2, 2026
Location: Argyriadis Auditorium
08:00 Registration Open
9:00 – 10:15 Awards Ceremony Test of Time Award
Session Chair: Kyriakos Mouratidis10:15 – 10:45 Coffee Break
10:45 – 11:45 Industry Session
Session Chair: Christos DoulkeridisI1-Optimized Edge-to-Cloud Complex Event Recognition and Forecasting on Altair AI Studio
Ourania Ntouni (Technical University of Crete); Dimitrios Banelas (Technical University of Crete); Elias Alevizos (NCSR ``Demokritos''); Nikos Giatrakos (Technical University of Crete)*
I2-Brix Index and Anthocyanin Prediction in Grapes using Multispectral Imaging with MobileViT: An Application Case From Edge to Cloud and MLOps
Arnab Ghosh Chowdhury (Osnabrück University)*; Sascha Niemann (Osnabrück University); Amos Smith (Osnabrück University); Martin Atzmueller (Osnabrück University)
I3-Memory-Aware Federated Learning for Anomaly Detection over IoT Data Streams
Zahraa EL ATTAR (Telecom SudParis)*; Raafat Osman (Telecom SudParis); Nikolaos Papadakis (Telecom SudParis); Georgios Bouloukakis (Telecom SudParis/ University of Patras)
I4-Multimodal Sensing via Cost–Aware Progressive Inference for Stress Detection in Wearables
Sarun Varghese (Otto-von-Guericke-University Magdeburg)*; Kumar Sai Jonnala (Otto-von-Guericke-University Magdeburg); Myra Spiliopoulou (Otto-von-Guericke-University Magdeburg)
I5-One Table to Rule them all: How a Single Table can Enable Extensive Insights, Analytics and Assessment on Human Mobility Data
Debraj De (Oak Ridge National Laboratory); Gautam Malviya Thakur (Oak Ridge National Laboratory)*
11:45 – 12:45 Industry Panel: Mobility Data for Mission-Critical Decision Support in Industry-Scale Systems
Panelists: Gautam Malviya Thakur / ORNL (Moderator): human mobility, mission-critical decision support, industry-scale data systems.Konstantina Bereta / Kpler : maritime/geospatial industry perspective.
Georgios Bouloukakis, University of Patras: IoT/smart spaces, interoperability, edge/cloud systems, deployment challenges.
Kristian Torp : maritime traffic / vessel trajectory analytics.
Aikaterini Karampasi, VesselFront: Maritime routing, operational voyage decision support.
12:45 – 14:00 Lunch
14:00 - 15:15 : PhD Showcase
Session Chair: Goce Trajcevski & Georgios Bouloukakis1. Efficient Shortest Path Queries on Triangular Irregular Networks and Point Clouds
Yinzhao YAN
2. Federated Learning Systems for Mobile Sensing Data
Xiaopeng Jiang
3. Semantic Enrichment and Summarization Methods for Mobility Data
Chiara Pugliese
4. Spatio-temporal Learning of Vessel Mobility Patterns for Proactive Collision Avoidance
Md Mahbub Alam
5. Trustworthy Data Paths for Sensitive Smartphone Workloads
Zhihao Yao
14:00 - 15:15 : Doctoral Forum
Session Chair: Goce Trajcevski & Georgios Bouloukakis1. Using data-driven simulation models for Deep Reinforcement Learning based HVAC control
Ferran Domingo (University of Lleida)
2. Privacy Preserving Federated Learning for Banking and Energy Efficient Enterprise Systems
Pablo Fraile Alonso (Universitat de Lleida)
3. Quantifying Navigational Safety around Planned Human Modified Environment with a Multi-Agent Simulator for Multiple Perspectives
Victor Litoux (TU Delft)
15:15 – 15:30 Coffee Break
15:30 - 17:18: Research Session 5
R* - Regular paper – 18 minutesS* - Short paper – 12 minutes
Session Chair: Sanjay Madria
R1-Coordinated Server-side GNSS Sampling
Rodrigo Sasse David (Aalborg University)*; Kristian Torp (Aalborg University); Anders Zinck Justesen (FlexDanmark); Mahmoud Zakr (Universite Libre de Bruxelles); Esteban Zimányi (Universite Libre de Bruxelles)
R2-SPADE: Activity-Aware Place Discovery from Human Mobility Trajectories
Licia Amichi (ORNL)*; Gautam Thakur (ORNL)
R3-Embedding-Based SQL Query Similarity for Spatiotemporal Data Exploration
Evangelos Karageorgos (University of Pittsburgh)*; Alexandros Labrinidis (University of Pittsburgh)
R4-Privacy Preserving Personalized Next Location Prediction via Encrypted Shuffled Federated Learning and Fuzzy Clustering
Saloua BOUABBA (Université Paris Saclay, UVSQ, DAVID, France)*; karine zeitouni (Université Paris Saclay, UVSQ, DAVID, France); Bassem Haidar (ESIEA, esieaLab, France); Nazim Agoulmine (Université Paris Saclay, Univ Evry, IBISC, France); Zaineb Chelly Dagdia (Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, France)
S1-Distributed Data Migration and Allocation at the Edge: A Graph Clustering Approach
Athanasios Koukosias (University of Thessaly)*; Vasileios Tzanidakis (University of Thessaly); Athanasios Tziouvaras (University of Thessaly); Kostas Kolomvatsos (University of Thessaly)
S2-PLA-MUX: Multiplexing Piece_wise Linear Approximations on Edge_assisted Sensor Networks
Xenophon Kitsios (Athens University of Economics and Business)*; Panagiotis Liakos (Athens University of Economics and Business); Katia Papakonstantinopoulou (Athens University of Economics and Business); Yannis Kotidis (Athens University of Economics and Business)
S3-Temporal Record Linkage Using Time Decay Models Applied to Vessel Data
Victor Litoux (Delft University of Technology); Cyril Ray (Ecole Navale)*