This picture showsMarco Aiello

Prof. Dr.

Marco Aiello

Head of Department
Institute for Architecture of Application Systems
Service Computing


+49 711 685-88464
+49 711 685-88472

Universitätsstraße 38
70569 Stuttgart
Room: 1.356

Office Hours

Please check with the secretarial office, Ms. Elisabeth Ibach.

  1. (Journal-) Articles

    1. Jafarian, M., Scherpen, J. M. A., Loeff, K., Mulder, M., & Aiello, M. (2020). A combined nodal and uniform pricing mechanism for congestion management in distribution power networks. Electric Power Systems Research, 180, 106088.
    2. van Beest, N., Groefsema, H., García-Bañuelos, L., & Aiello, M. (2019). Variability in business processes: Automatically obtaining a generic specification. Inf. Syst., 80, 36–55.
    3. Aiello, M. (2019). The success of the web: a triumph of the amateurs. Commun. ACM, 62(8), 32–34.
    4. Vanneschi, C., Camillo, M. D., Aiello, E., Bonciani, F., & Salvini, R. (2019). SfM-MVS Photogrammetry for Rockfall Analysis and Hazard Assessment Along the Ancient Roman Via Flaminia Road at the Furlo Gorge (Italy). ISPRS Int. J. Geo-Information, 8(8), 325.
    5. Beest, N. van, Groefsema, H., Garcia-Banuelos, L., & Aiello, M. (2019). Variability in business processes : Automatically obtaining a generic specification. Information Systems, 80, 36–55.
    6. Fiorini, L., & Aiello, M. (2019). Energy management for user’s thermal and power needs : a survey. Energy Reports, 5, 1048–1076.
    7. Aiello, M., Mongelli, M., Muselli, M., & Verda, D. (2019). Unsupervised learning and rule extraction for Domain Name Server tunneling detection. Internet Technol. Lett., 2(2), Article 2.
    8. Sun, C., Wang, Z., Wang, K., Xue, T., & Aiello, M. (2019). Adaptive BPEL Service Compositions via Variability Management: A Methodology and Supporting Platform. International Journal of Web Services Research, 16(1), 37–69.
    9. Hu, Y., Aiello, M., & Hu, C. (2018). Information diffusion in online social networks: A compilation. Journal of Computational Science, 28, 204–205.
    10. Marchitelli, R., Aiello, M., Cachia, A., Quarantelli, M., Cavaliere, C., Postiglione, A., Tedeschi, G., Montella, P., Milan, G., Salvatore, M., Salvatore, E., Baron, J.-C., & Pappatà, S. (2018). Simultaneous resting-state FDG-PET/fMRI in Alzheimer Disease: Relationship between glucose metabolism and intrinsic activity. NeuroImage, 176, 246–258.
    11. Fiorini, L., Aiello, M., Poli, D., & Pelacchi, P. (2018). Topological Considerations on the Use of Batteries to Enhance the Reliability of HV-Grids. Journal of Energy Storage, 18, 316–326.
    12. Pratama, A. R., Widyawan, Lazovik, A., & Aiello, M. (2018). Multi-User Low Intrusive Occupancy Detection. Sensors, 18(3), 796.
    13. Reddy, V. D., Setz, B., Rao, G. S. V. R. K., Gangadharan, G. R., & Aiello, M. (2018). Best Practices for Sustainable Datacenters. IT Professional, 20(5), 57–67.
    14. Dijkhuis, T. B., Blaauw, F. J., van Ittersum, M. W., Velthuijsen, H., & Aiello, M. (2018). Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors, 18(2), 623.
    15. Groefsema, H., van Beest, N., & Aiello, M. (2018). A Formal Model for Compliance Verification of Service Compositions. IEEE Trans. Services Computing, 11(3), 466–479.
    16. Reddy, V. D., Setz, B., Rao, G. S. V. R. K., Gangadharan, G. R., & Aiello, M. (2017). Metrics for Sustainable Data Centers. T-SUSC, 2(3), 290–303.
    17. Fiorini, L., Pagani, G. A., Pelacchi, P., Poli, D., & Aiello, M. (2017). Sizing and Siting of Large-Scale Batteries in Transmission Grids to Optimize the Use of Renewables. IEEE J. Emerg. Sel. Topics Circuits Syst., 7(2), 285–294.
    18. Georgievski, I., & Aiello, M. (2017). Automated Planning for Ubiquitous Computing. ACM Comput. Surv., 49(4), 63:1-63:46.
    19. Georgievski, I., Nguyen, T. A., Nizamic, F., Setz, B., Lazovik, A., & Aiello, M. (2017). Planning meets activity recognition: Service coordination for intelligent buildings. Pervasive and Mobile Computing, 38, 110–139.
    20. Kaldeli, E., Lazovik, A., & Aiello, M. (2016). Domain-independent planning for services in uncertain and dynamic environments. Artif. Intell., 236, 30–64.
    21. Capodieci, N., Pagani, G. A., Cabri, G., & Aiello, M. (2016). An adaptive agent-based system for deregulated smart grids. Service Oriented Computing and Applications, 10(2), 185–205.
    22. Jovicich, J., Minati, L., Marizzoni, M., Marchitelli, R., Sala-Llonch, R., Bartrés-Faz, D., Arnold, J., Benninghoff, J., Fiedler, U., Roccatagliata, L., Picco, A., Nobili, F., Blin, O., Bombois, S., Lopes, R., Bordet, R., Sein, J., Ranjeva, J.-P., Didic, M., … Frisoni, G. B. (2016). Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study. NeuroImage, 124, 442–454.
    23. Emerencia, A. C., van der Krieke, L., Bos, E. H., de Jonge, P., Petkov, N., & Aiello, M. (2016). Automating Vector Autoregression on Electronic Patient Diary Data. IEEE J. Biomedical and Health Informatics, 20(2), 631–643.
    24. Blaauw, F. J., Schenk, H. M., Jeronimus, B. F., van der Krieke, L., de Jonge, P., Aiello, M., & Emerencia, A. C. (2016). Let’s get Physiqual - An intuitive and generic method to combine sensor technology with ecological momentary assessments. Journal of Biomedical Informatics, 63, 141–149.
    25. Georgievski, I., & Aiello, M. (2015). HTN planning: Overview, comparison, and beyond. Artif. Intell., 222, 124–156.
    26. Pagani, G. A., & Aiello, M. (2015). Generating Realistic Dynamic Prices and Services for the Smart Grid. IEEE Systems Journal, 9(1), 191–198.
    27. Pagani, G. A., & Aiello, M. (2015). A complex network approach for identifying vulnerabilities of the medium and low voltage grid. IJCIS, 11(1), 36–61.
    28. ai Sun, C., Zhang, X., Shang, Y., & Aiello, M. (2015). Integrating Transactions into BPEL Service Compositions: An Aspect-Based Approach. TWEB, 9(2), 9:1-9:31.
    29. Aiello, M., Salvatore, E., Cachia, A., Pappatà, S., Cavaliere, C., Prinster, A., Nicolai, E., Salvatore, M., Baron, J.-C., & Quarantelli, M. (2015). Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study. NeuroImage, 113, 111–121.
    30. Nguyen, T. A., Raspitzu, A., & Aiello, M. (2014). Ontology-based office activity recognition with applications for energy savings. J. Ambient Intelligence and Humanized Computing, 5(5), 667–681.
    31. Kaldeli, E., Warriach, E. U., Lazovik, A., & Aiello, M. (2013). Coordinating the web of services for a smart home. TWEB, 7(2), 10:1-10:40.
    32. Emerencia, A., van der Krieke, L., Sytema, S., Petkov, N., & Aiello, M. (2013). Generating personalized advice for schizophrenia patients. Artificial Intelligence in Medicine, 58(1), 23–36.
    33. Aiello, M., Bezhanishvili, G., Bloch, I., & Goranko, V. (2012). Logic for physical space - From antiquity to present days. Synthese, 186(3), 619–632.
    34. Pagani, G. A., & Aiello, M. (2012). Service Orientation and the Smart Grid state and trends. Service Oriented Computing and Applications, 6(3), 267–282.
    35. Georgievski, I., Degeler, V., Pagani, G. A., Nguyen, T. A., Lazovik, A., & Aiello, M. (2012). Optimizing Energy Costs for Offices Connected to the Smart Grid. IEEE Trans. Smart Grid, 3(4), 2273–2285.
    36. Pagani, G. A., & Aiello, M. (2011). Towards Decentralization: A Topological Investigation of the Medium and Low Voltage Grids. IEEE Trans. Smart Grid, 2(3), 538–547.
    37. ai Sun, C., Rossing, R., Sinnema, M., Bulanov, P., & Aiello, M. (2010). Modeling and managing the variability of Web service-based systems. Journal of Systems and Software, 83(3), 502–516.
    38. Aiello, M., & Dustdar, S. (2008). Are our homes ready for services? A domotic infrastructure based on the Web service stack. Pervasive and Mobile Computing, 4(4), 506–525.
    39. Schall, D., Aiello, M., & Dustdar, S. (2006). Web services on embedded devices. IJWIS, 2(1), 45–50.
    40. Aiello, M., & Lazovik, A. (2006). Monitoring Assertion-Based Business Processes. Int. J. Cooperative Inf. Syst., 15(3), 359–389.
    41. Frankova, G., Malfatti, D., & Aiello, M. (2006). Semantics and Extensions of WS-Agreement. JSW, 1(1), 23–31.
    42. Aiello, M., & Pegoretti, A. (2006). Textual Article Clustering in Newspaper Pages. Applied Artificial Intelligence, 20(9), 767–796.
    43. D, & Aiello, M. (2006). Guest Editors’ Introduction. Int. J. Cooperative Inf. Syst., 15(3), 289–292.
    44. Aiello, M., & D. (2005). Guest Editors’ Introduction. Int. J. Cooperative Inf. Syst., 14(4), 329–332.
    45. Aiello, M., & Smeulders, A. W. M. (2004). Thick 2D relations for document understanding. Inf. Sci., 167(1–4), 147–176.
    46. Papazoglou, M. P., Aiello, M., Pistore, M., & Yang, J. (2002). Planning for Requests against Web Services. IEEE Data Eng. Bull., 25(4), 41–46.
    47. Aiello, M. (2001). Roberto Casati and Achille Varzi, Parts and Places, The Structures of Spatial Representation. Journal of Logic, Language and Information, 10(2), 269–272.
  2. Monograhs

    1. Aiello, M. (2018). The Web Was Done by Amateurs - A Reflection on One of the Largest Collective Systems Ever Engineered (pp. 1–168). Springer.
  3. Contributions to anthologies

    1. Aiello, M., Pratt-Hartmann, I., & van Benthem, J. (2007). What is Spatial Logic? In M. Aiello, I. Pratt-Hartmann, & J. van Benthem (Eds.), Handbook of Spatial Logics (pp. 1–11). Springer.
  4. Conference papers

    1. Georgievski, I., Fiorini, L., & Aiello, M. (2020). Towards Service-Oriented and Intelligent Microgrids. International Conference on Applications of Intelligent Systems.
    2. Georgievski, I., & Aiello, M. (2019). Phantomisation in state-based HTN planning. International Conference on Advances in Signal Processing and Artificial Intelligence, 39--44.
    3. Georgievski, I., Gupta, P., & Aiello, M. (2019). Activity learning for intelligent buildings. IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference.
    4. Agostini, V., Aiello, E., Fortunato, D., Knaflitz, M., & Gastaldi, L. (2019). A wearable device to assess postural sway. ISCT, 197–200.
    5. Sha, A., & Aiello, M. (2018). Topological Considerations on Decentralised Energy Exchange in the Smart Grid. In E. M. Shakshuki & A.-U.-H. Yasar (Eds.), ANT/SEIT (Vol. 130, pp. 720–727). Elsevier.
    6. Kalksma, M., Setz, B., Pratama, A. R., Georgievski, I., & Aiello, M. (2018). Mining Sequential Patterns for Appliance Usage Prediction. In C. Klein, B. Donnellan, & M. Helfert (Eds.), SMARTGREENS (pp. 23–33). SciTePress.
    7. Bessani, M., Ribeiro, R. R. M., Pagani, G. A., Aiello, M., & Maciel, C. D. (2018). Robustness of reconfigurable complex systems by a multi-agent simulation: Application on power distribution systems. SysCon, 1–6.
    8. Aiello, M. (2018). Ten Questions to Define Energy Intelligent Buildings. In N. Petkov, N. Strisciuglio, & C. M. Travieso-González (Eds.), APPIS (Vol. 310, pp. 231–238). IOS Press.
    9. Pratama, A. R., Simanjuntak, F. J., Lazovik, A., & Aiello, M. (2018). Low-Power Appliance Recognition Using Recurrent Neural Networks. In N. Petkov, N. Strisciuglio, & C. M. Travieso-González (Eds.), APPIS (Vol. 310, pp. 239–250). IOS Press.
    10. Pratama, A. R., Widyawan, Lazovik, A., & Aiello, M. (2017). Power-Based Device Recognition for Occupancy Detection. In L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, & M. Oriol (Eds.), ICSOC Workshops (Vol. 10797, pp. 174–187). Springer.
    11. Georgievski, I., Nizamic, F., Lazovik, A., & Aiello, M. (2017). Cloud Ready Applications Composed via HTN Planning. SOCA, 81–89.
    12. Nguyen, T. A., Aiello, M., Yonezawa, T., & Tei, K. (2015). A Self-Healing Framework for Online Sensor Data. ICAC, 295–300.
    13. Aiello, M., & Pagani, G. A. (2014). The Smart Grid’s Data Generating Potentials. In M. Ganzha, L. A. Maciaszek, & M. Paprzycki (Eds.), FedCSIS (pp. 9–16).
    14. Scala, A., Quattrociocchi, W., Pagani, G. A., & Aiello, M. (2014). Self-Healing Protocols for Infrastructural Networks. In C. G. Panayiotou, G. Ellinas, E. Kyriakides, & M. M. Polycarpou (Eds.), CRITIS (Vol. 8985, pp. 308–313). Springer.
    15. Blaauw, F. J., van der Krieke, L., Bos, E., Emerencia, A., Jeronimus, B. F., Schenk, M., de Vos, S., Wanders, R., Wardenaar, K., Wigman, J. T. W., Aiello, M., & de Jonge, P. (2014). HowNutsAreTheDutch: Personalized Feedback on a National Scale. AAAI Fall Symposia.
    16. Nizamic, F., Nguyen, T. A., Lazovik, A., & Aiello, M. (2014). GreenMind - An Architecture and Realization for Energy Smart Buildings. ICT4S.
    17. Georgievski, I., Nguyen, T. A., & Aiello, M. (2013). Combining Activity Recognition and AI Planning for Energy-Saving Offices. UIC/ATC, 238–245.
    18. Nguyen, T. A., Degeler, V., Contarino, R., Lazovik, A., Bucur, D., & Aiello, M. (2013). Towards Context Consistency in a Rule-Based Activity Recognition Architecture. UIC/ATC, 625–630.
    19. Nguyen, T. A., Bucur, D., Aiello, M., & Tei, K. (2013). Applying time series analysis and neighbourhood voting in a decentralised approach for fault detection and classification in WSNs. In H. Q. Thang, B. N. Thanh, T. V. Do, M. Bui, & S. N. Hong (Eds.), SoICT (pp. 234–241). ACM.
    20. Warriach, E. U., Tei, K., Nguyen, T. A., & Aiello, M. (2012). Fault detection in wireless sensor networks: a hybrid approach. In F. Zhao, A. Terzis, & K. Whitehouse (Eds.), IPSN (pp. 87–88). IEEE Computer Society / ACM.
    21. Pagani, G. A., & Aiello, M. (2012). Cost and Benefits of Denser Topologies for the Smart Grid. In E. Gelenbe & R. Lent (Eds.), ISCIS (pp. 73–81). Springer.
    22. Capodieci, N., Cabri, G., Pagani, G. A., & Aiello, M. (2012). Agent Modeling of a Pervasive Application to Enable Deregulated Energy Markets. In F. D. Paoli & G. Vizzari (Eds.), WOA (Vol. 892).
    23. Nguyen, T. A., & Aiello, M. (2012). Beyond Indoor Presence Monitoring with Simple Sensors. In C. Benavente-Peces, F. H. Ali, & J. Filipe (Eds.), PECCS (pp. 5–14). SciTePress.
    24. Capodieci, N., Cabri, G., Pagani, G. A., & Aiello, M. (2012). An Agent-Based Application to Enable Deregulated Energy Markets. In X. Bai, F. Belli, E. Bertino, C. K. Chang, A. Elçi, C. C. Seceleanu, H. Xie, & M. Zulkernine (Eds.), COMPSAC (pp. 638–647). IEEE Computer Society.
    25. Warriach, E. U., Nguyen, T. A., Aiello, M., & Tei, K. (2012). A hybrid fault detection approach for context-aware wireless sensor networks. MASS, 281–289.
    26. Capodieci, N., Cabri, G., Pagani, G. A., & Aiello, M. (2012). Adaptive game-based agent negotiation in deregulated energy markets. In W. W. Smari & G. C. Fox (Eds.), CTS (pp. 300–307). IEEE.
    27. Groefsema, H., Bulanov, P., & Aiello, M. (2011). Declarative Enhancement Framework for Business Processes. In G. Kappel, Z. Maamar, & H. R. M. Nezhad (Eds.), ICSOC (Vol. 7084, pp. 495–504). Springer.
    28. Bulanov, P., Groefsema, H., & Aiello, M. (2011). Business Process Variability: A Tool for Declarative Template Design. In G. Pallis, M. Jmaiel, A. Charfi, S. Graupner, Y. Karabulut, S. Guinea, F. Rosenberg, Q. Z. Sheng, C. Pautasso, & S. B. Mokhtar (Eds.), ICSOC Workshops (Vol. 7221, pp. 241–242). Springer.
    29. Aiello, M., Aloise, F., Baldoni, R., Cincotti, F., Guger, C., Lazovik, A., Mecella, M., Pucci, P., Rinsma, J., Santucci, G., & Taglieri, M. (2011). Smart homes to improve the quality of life for all. EMBC, 1777–1780.
    30. Bulanov, P., Lazovik, A., & Aiello, M. (2011). Business process customization using process merging techniques. In K.-J. Lin, C. Huemer, M. B. Blake, & B. Benatallah (Eds.), SOCA (pp. 1–4). IEEE Computer Society.
    31. Warriach, E. U., Kaldeli, E., Bresser, J., Lazovik, A., & Aiello, M. (2010). A Tool for Integrating Pervasive Services and Simulating Their Composition. In P. P. Maglio, M. Weske, J. Yang, & M. Fantinato (Eds.), ICSOC (Vol. 6470, pp. 726–727).
    32. Kaldeli, E., Warriach, E. U., Bresser, J., Lazovik, A., & Aiello, M. (2010). Interoperation, Composition and Simulation of Services at Home. In P. P. Maglio, M. Weske, J. Yang, & M. Fantinato (Eds.), ICSOC (Vol. 6470, pp. 167–181).
    33. ai Sun, C., Xue, T., & Aiello, M. (2010). ValySeC: A Variability Analysis Tool for Service Compositions Using VxBPEL. APSCC, 307–314.
    34. Pagani, G. A., & Aiello, M. (2010). Towards a Service-Oriented Energy Market: Current State and Trend. In E. M. Maximilien, G. Rossi, S.-T. Yuan, H. Ludwig, & M. Fantinato (Eds.), ICSOC Workshops (Vol. 6568, pp. 203–209).
    35. Aiello, M., Bulanov, P., & Groefsema, H. (2010). Requirements and Tools for Variability Management. COMPSAC Workshops, 245–250.
    36. Aiello, M., el Khoury, E., Lazovik, A., & Ratelband, P. (2009). Optimal QoS-Aware Web Service Composition. In B. Hofreiter & H. Werthner (Eds.), CEC (pp. 491–494). IEEE Computer Society.
    37. Aiello, M. (2009). General Chair’s Report. In S. Reddy (Ed.), WETICE. IEEE Computer Society.
    38. Lazovik, E., den Dulk, P., de Groote, M., Lazovik, A., & Aiello, M. (2009). Services Inside the Smart Home: A Simulation and Visualization Tool. In L. Baresi, C.-H. Chi, & J. Suzuki (Eds.), ICSOC/ServiceWave (Vol. 5900, pp. 651–652).
    39. Aiello, M., Catarci, T., & Mecella, M. (2009). Smart Homes Infrastructures and Interactions (SHII 2009). In S. Reddy (Ed.), WETICE (pp. 234–235). IEEE Computer Society.
    40. ai Sun, C., & Aiello, M. (2008). Towards Variable Service Compositions Using VxBPEL. In H. Mei (Ed.), ICSR (Vol. 5030, pp. 257–261). Springer.
    41. Aiello, M., & Ottens, B. (2007). The Mathematical Morpho-Logical View on Reasoning about Space. In M. M. Veloso (Ed.), IJCAI (pp. 205–211).
    42. Aiello, M., Rosenberg, F., Platzer, C., Ciabattoni, A., & Dustdar, S. (2006). Service QoS Composition at the Level of Part Names. In M. Bravetti, M. Núñez, & G. Zavattaro (Eds.), WS-FM (Vol. 4184, pp. 24–37). Springer.
    43. Aiello, M., Platzer, C., Rosenberg, F., Tran, H., Vasko, M., & Dustdar, S. (2006). Web Service Indexing for Efficient Retrieval and Composition. CEC/EEE, 63.
    44. Aiello, M., Frankova, G., & Malfatti, D. (2005). What’s in an Agreement? An Analysis and an Extension of WS-Agreement. In B. Benatallah, F. Casati, & P. Traverso (Eds.), ICSOC (Vol. 3826, pp. 424–436). Springer.
    45. Lazovik, A., Aiello, M., & Papazoglou, M. P. (2004). Associating assertions with business processes and monitoring their execution. In M. Aiello, M. Aoyama, F. Curbera, & M. P. Papazoglou (Eds.), ICSOC (pp. 94–104). ACM.
    46. Aiello, M., Busetta, P., Donà, A., & Serafini, L. (2001). Ontological Overhearing. In J.-J. Ch. Meyer & M. Tambe (Eds.), ATAL (Vol. 2333, pp. 175–189). Springer.
    47. Aiello, M. (2001). Computing Spatial Similarity by Games. In F. Esposito (Ed.), AI*IA (Vol. 2175, pp. 99–110). Springer.
    48. Aiello, M. (2000). Topo-distance: Measuring the Difference between Spatial Patterns. In M. Ojeda-Aciego, I. P. de Guzmán, G. Brewka, & L. M. Pereira (Eds.), JELIA (Vol. 1919, pp. 73–86). Springer.
    49. Aiello, M., Areces, C., & de Rijke, M. (1999). Spatial Reasoning for Image Retrieval. In P. Lambrix, A. Borgida, M. Lenzerini, R. Möller, & P. F. Patel-Schneider (Eds.), Description Logics (Vol. 22).
    50. Aiello, L. C., Nardi, D., & Schaerf, M. (1991). Reasoning about Knowledge: The Meta-Level Approach. In B. H. Mayoh (Ed.), SCAI (Vol. 12, pp. 4–18). IOS Press.
    51. Aiello, L. C., Nardi, D., & Schaerf, M. (1988). Reasoning About Knowledge and Ignorance. FGCS, 618–627.

Marco Aiello is professor of Computer Science and Head of the Service Computing Department at the University of Stuttgart, Germany and member of the European Academy of Sciences and Arts. He is also honorary professor of Distributed Systems at the University of Groningen, The Netherlands, where he was a faculty member from 2006 till 2018. He holds a PhD in Logic from the University of Amsterdam, the Habilitation in Applied Informatics from TU Wien, and a master degree in Engineering from La Sapienza University of Rome. His research interests are in Service Computing, Smart Energy Systems, and Spatial Reasoning. He has authored over 160 peer reviewed articles and several books, including two bestsellers, and the most recent The Web Was Done by Amateurs published by Springer.


We integrate cross-sectorial expertise on power distribution, control systems, building automation, computer science, and social and behavioral science to propose an interdisciplinary framework that uses innovative distributed control algorithms and an ICT platform coupled with intelligent automated techniques to improve demand-supply matching in a financially and psychologically way that is attractive and acceptable to end-users.


The project focuses on the application of state-of-the-art ICT tools and techniques to improve the environmental footprint of energy-intensive facilities and deliver Smarter and Greener Data-Centers, through ‘self-help’.


Past Projects

  • H2020 RISE FIRST - European MSCA Research and Innovation Staff Exchange grant for research into smart and virtual factories to deal with evolution of change (2017-18)
  • NWO ESI Pose MERGE - Study and development of an energy management system and user interface that can match supply and demand of various energy carriers using user preferences while contributing to user acceptability and proper adoption of the system (2016-20)
  • NWO Joint Scientific Thematic Programme - China BIGS - BeijIng Groningen Smart energy cities (2015-18)
  • NWO MVI: Responsible Innovation Redesigning the electricity market in order to facilitate the transition towards a sustainable energy system (2015-16)
  • NWO Smart Energy Systems EnSO - Energy Smart Offices (2011-15)
  • EU FP7 STREP GreenerBuildings (2010-13): An Ubiquitous Embedded System Framework for Energy-aware Buildings Using Activity and Context Knowledge
  • ZonMW MyCare (2008-12): an open, dynamic information system for personal risk assessment, recovery targets, and self-management in schizophrenia
  • EU FP7 STREP SM4All - Smart Homes for All (2008-11): An Embedded Middleware Platform for Pervasive and Immersive Environments For-All
  • NWO Jacquard SAS-LEG (2008-12): Software As Service for the varying needs of Local EGovernments
  • EU FP6 IP SeCSE - Service-Centric Software Engineering (2006-07)

From 2016    Member of the Scientific Advisory Board for Informatics of the Lorentz Center, Leiden, The Netherlands

From 2015    Steering committee Faculty of Exact Sciences, University of Modena and Reggio Emilia, Italy

From 2014    Member on the board of the startup Nerdalize BV, The Netherlands

2017        Visiting Fellow, Macquarie University, Australia

2012-18   Full Professor of Distributed Systems, University of Groningen, The Netherlands

2012-17   Visiting professor at Bournemouth University, UK

2006-12   Associate Professor of Distributed Systems, University of Groningen, The Netherlands

2009        Habilitation in Applied Informatics, TU Wien, Austria

2006        Lise Meitner Fellow, TU Wien, Austria,

2002-06   Assistant Professor (ING-INF/05), University of Trento, Italy

2002        PhD in exact sciences, University of Amsterdam, The Netherlands

1997        Laurea (M.S.) in Ingegneria Informatica from the University of Rome La Sapienza, magna cum laude, Italy

1995        Intern in the Advanced Technology Group at Apple Computer in Cupertino, USA

  • Editorial Board of Energy Informatics, Springer

  • Editorial Board of the Journal on Service Oriented Computing and Applications, Springer

  • Information Director of the Transactions on Computational Logic of the Association of Computing Machinery (ACM) from its foundation in 2000 until 2014.

  • Reviewing Board of Frontiers in Energy Systems and Policy, section of Frontiers in Energy and Mechanical and Industrial Engineering

  • Editorial Board of Reviewers of International Journal of Web Services Research (IJWSR), IGI-Global

  • Senior Editorial Board of Annals of Computer Science and Information Systems of the Polish Information Processing Society

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