Dr. DI


About me

Dr. Dipl.-Ing. Melanie Schranz

Senior Researcher

Lakeside Labs, Klagenfurt, Austria

Swarm Algorithms for CPS Applications


College for Occupations in the Service Industries Specializing in Operational Management and Kitchen Administration St. Peter

2005 – 2006
Telematics and Network Engineering at the University of Applied Science Klagenfurt
2006 – 2009
Information Technology (bachelor study) at the Alpen-Adria-Universität Klagenfurt
2009 – 2011

Information Technology (master study) at the Alpen-Adria-Universität Klagenfurt

2011 – 2016

PhD in Technical Sciences at the Alpen-Adria-Universität Klagenfurt


Successful securing of third-party grants (local, national, EU-level)

  • Innovationsassistent 2016|2017 (Förderung: 36.000€)
  • 2016: KWF-Programm Strategie- und Organisationsentwicklung von wachstumsorientierten Unternehmen – (Förderung: 21.000€)
  • 2016: ERP Kredit in Höhe von 1.3 Mio € (Förderung: Kapitalkostenzuschuss von 7,5%) (KWF+AWS)
  • 2016: Investitionsförderungen in Gewerbe und Industrie und produktionsnahen Dienstleistungen in Höhe von 3×300.000€ (Förderung: Kapitalkostenzuschuss von 7,5%)
  • 2017: KWF UIG (2K für Unternehmer exkl. HW, andere Dienstleistungen)
  • 2018: KWF Investitionsscheck: 1K Förderung bei 6K Projektkosten
  • 2018: IKT der Zukunft (SWILT), knappe 1 Mio. €
  • 2015/2016: TDIKT – Tachyon Render
  • 2017: Anbahnungsprojekt Mobility
  • 2018: Produktion der Zukunft, FFG (InterSPM)

Program Commitee

  • American Control Conference (ACC) 2018; International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE) 2018; Workshop on Safety and Security of Intelligent Vehicles (SSIV) 2017 – 2018; IEEE International Conference on Robotics and Automation (ICRA) 2018; Ad Hoc Networks, Elsevier, 018
  • Appointments Committee for the professorship in sensors and actuators (2012) and the professorship in embedded systems (2013) at Alpen-Adria-Universität Klagenfurt


  • Program Manager of a number of scientific events (NES OpenLab2013, Annual Institute Retreat 2013, Research Days 2017, Lange Nacht der Forschung @ Lakeside Labs 2018, Research Days 2019)
  • since 02/2017 – PR Officer of the IEEE Austria Section
  • IEEEXtreme Challenge proctor (2018)
  • Contributor for the project FIT (Frauen in die Technik) of the Austrian Federal Government Department for Education, Arts and Culture (2008 – 2012)
  • Continuous organization of workshops and talks for scientific and promotional activities for the study program Information Technology
  • Newspaper Articles?


  • 02/2018 – Project management course for EU-H2020 projects at FFG
  • 01 – 10/2016 – Innovation manager program at KWF
  • 05/2015 – 05/2016 – Mentoring Program „New Generation Carinthia Mentoring“ at the Business Frauen Center (BFC Klagenfurt)
  • 2013 – 2014 – Course for young scientists (Lehrgang für Nachwuchswissenschaftler – Schwerpunkt Didaktik und Führung) at the Alpen-Adria-Universität Klagenfurt
  • Programming experiences in Java, C#, C++, VHDL and in using Matlab, ROS
  • Modeling experiences in Modelio, Integranova, ADOxx
  • MS-Office (very good knowledge in Excel, Word und Power Point)
  • Foreign languages: English, Slovenian (fluent); Italian, Russian (basic skills)
  • Enjoying to solve technical and complex problems combined with organizational and planning expertise

Research Interests

Swarm Intelligence for CPS Applications

Interconnected devices and the emergence of autonomous cyber-physical systems in dynamic environments show high dynamics that increase the overall system complexity. To handle this complex characteristics, natural systems can serve as inspiration: they have evolved over millennia to master NP-hard problems. In all swarm models, the swarm is made up of many individual, simple, and relatively homogeneous agents. They cooperate without any central control and act according to simple and local behavior. Only through their interactions a collective behavior emerges that is able to solve complex tasks. These characteristics lead to the main advantages of swarms: adaptability, robustness, and scalability.

Modeling and adapting existing swarm intelligence algorithms to cyber-physical systems is a key focus of my research. Therein, additional requirements come from real-world applications including swarms of drones for search and rescue, rovers for logistic, autonomous cars for smart traffic, and machines that need to be scheduled for a production plant.

Ongoing projects:

CPSwarm, H2020-ICT-2016-1, project ID: 731946
SWILT, FFG-ICT-of-the-future


Coordination and Control

Algorithms for Sensor Networks

In wireless sensor networks (WSNs), cooperative control and distributed processing opened up a wide research field. WSNs are constituted of spatially distributed sensor nodes to retrieve information from the environment and react on it. The individual sensor nodes in such a network communicate wirelessly and their actions are also autonomous with respect to the received information. Furthermore, the individual sensor nodes in a WSN are able to learn from its environment especially through exchanging locally retrieved information among themselves. A typical characteristic of sensor nodes used in an adhoc WSN are the limited resources. They are usually battery powered, have a bounded communication range and limited on-board processing and storage capabilities. Throughout my research, I consider only networks consisting of visual sensors communicating wirelessly. Visual sensor networks (VSNs) with overlapping field of views consist of autonomous low-power image sensors with storage and communication capabilities as well as a processing unit on board. Thus, they have the ability to analyze and process the data locally. A typical task of a VSN is to identify and track objects for surveillance and identification applications.

In my research utilized by the market-based approach, I perform dynamic cluster management including cluster head election and handover. With evaluations in a simulation environment we show the advantages in terms of resource awareness of the proposed cluster-based protocol over the fully distributed approach. Different state estimation algorithm enrich both approaches. This research was done during my PhD and goes on in several papers appearing ongoingly.


and Simulation

Modeling and simulation of swarm intelligence for cyber-physical systems are the main key points to analyze and evaluate self-organization behavior and its properties. Therefore, we use different simulators that are able to abstract different levels of cyber-physical systems’ details, including Gazebo and ARGoS. Beside analysis they offer us the possibility to deploy the generated code in ROS directly on our hardware platforms.


For evaluating control and coordination aspects in autonomous VSNs no convenient simulation framework is available. We established a new simulator for the evaluation of control and coordination strategies using the game engine Unity. The VSNsim provides a user friendly 3D environment for evaluations before implementing the algorithms on a real camera network. The current version of the simulator models multiple cameras (static and mobile) with parallel execution behavior in a pseudo-realistic environment with multiple GUI elements (including moving objects to track). Such an evaluation environment motivates researchers to encourage their creativity in designing various scenarios and thus, analyzing different behavior of their algorithms.

Since 10/2016 Michael Gruber and me started to work further on module-based simulation of multi-sensor systems/ production plants. This was the initial step to found a company in 02/2018 by Michael Gruber (http://sensolligent.com/).



and Papers

  • Melanie Schranz, Torsten Andre, Towards Resource-Aware Hybrid Camera Systems. In Proceedings of the 12th International Conference on Distributed Smart Cameras, p. 8, Eindhoven, Netherlands, 2018.
  • Melanie Schranz, Wilfried Elmenreich, Micha Rappaport, Designing Cyber-physical Systems with Evolutionary Algorithms. In Cyber-Physical Laboratories in Engineering and Science Education, 2018.
  • Micha Rappaport, Melanie Schranz, Davide Conzon, Enrico Ferrera, Midhat Jdeed, Wilfried Elmenreich, Distributed Simulation for Evolutionary Design of Swarms of Cyber-Physical Systems. In Proceedings of the 10th International Conference on Adaptive and Self-Adaptive Systems and Applications, Barcelona, Spain, 2018.
  • Melanie Schranz, Alessandra Bagnato, Etienne Brosse and Wilfried Elmenreich, Modelling a CPS Swarm System: A Simple Case Study. In Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development, Madeira, Portugal, 2018.
  • Alessandra Bagnato, Regina Krisztina Bíró, Dario Bonino, Claudio Pastrone, Wilfried Elmenreich, René Reiners, Melanie Schranz, Edin Arnautovic, Designing Swarms of Cyber-Physical Systems: the H2020 CPSwarm Project: Invited Paper. In Proceedings of the ACM International Conference on Computing Frontiers, pp. 305-312, Siena, Italy, 2017.
  • Jennifer Simonjan, Melanie Schranz, Bernhard Rinner, Self-calibration and Cooperative State Estimation in a Resource-Aware Visual Sensor Network. In Proceedings of the 11th International Conference on Distributed Smart Cameras, pp. 101-106, Stanford, U.S., 2017.

·         Venkata Pathuri Bhuvana, Melanie Schranz, Carlo S. Regazzoni, Bernhard Rinner, Andrea M. Tonello, and Mario Huemer, Multi-Camera Object Tracking using Surprisal Observations in Visual Sensor Networks. EURASIP Journal on Advances in Signal Processing, 2016(1), 50, 2016.

·         Melanie Schranz, Design Space Exploration for Coordination and Control Strategies in Visual Sensor Networks, PhD thesis, 2015.·         Michael A. Gruber, Melanie Schranz, Bernhard Rinner, Demo: The Extended VSNsim for Hybrid Camera Networks. In Proceedings of the 9th International Conference on Distributed Smart Cameras, pp. 203-204, Sevilla, Spanien, 2015.·         Melanie Schranz and Bernhard Rinner, Resource Aware State Estimation in Visual Sensor Networks. In Proceedings of the 4th International Conference on Sensor Networks, pp. 15-24, Angers, Frankreich, 2015.·         Melanie Schranz and Bernhard Rinner, Resource-Aware Dynamic Clustering Utilizing State Estimation in Visual Sensor Networks. Sensors & Transducers, 191(8), p. 28, 2015.

·         Melanie Schranz, Bernhard Rinner, Demo: VSNsim – A Simulator for Control and Coordination in Visual Sensor Networks. In Proceedings of the 8th International Conference on Distributed Smart Cameras, p. 44, Venedig, Italien 2014.

·         Venkata Pathuri Bhuvana, Melanie Schranz, Mario Huemer, and Bernhard Rinner, Distributed object tracking based on cubature Kalman filter. In Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computers, pp. 423-427, 2013.

·         Melanie Schranz and Bernhard Rinner, Consensus in Visual Sensor Networks Consisting of Calibrated and Uncalibrated Cameras. In Proceedings of the 6th International Conference on Distributed Smart Cameras, pp. 1-2, Hong Kong, China, 2012.

·         Melanie Schranz und Wilfried Elmenreich, Approach for a Reliable Cooperative Relaying Process. In Proceedings of the Junior Scientist Conference, pp. 1-2, Technische Universität Wien, 2008.


and tutoring

WS 2011 – 2015

Grundlagenlabor: Pervasive Computing (bachelor study
Informationstechnik, 2 SWS, Alpen-Adria-Universität Klagenfurt)

In-depth course for VHDL programming

WS 2011 – 2015

ICT-Lab: Pervasive Computing (master study
Information Technology, 2 SWS, Alpen-Adria-Universität Klagenfurt)

In-depth course for VHDL programming

SS 2012 – 2015

Entwurf digitaler Schaltungen (bachelor study Informationstechnik, 2 SWS, Alpen-Adria-Universität Klagenfurt)

Introductory course for Boolean algebra, design of digital circuits and VHDL programming

WS 2014

Digital Signal Processors (master study
Information Technology, 2 SWS, Alpen-Adria-Universität Klagenfurt)

In-depth course for handling digital signal processors applying C and assembler programming

WS 2011 – SS 2015

Regular representative for the lectures Entwurf digitaler Schaltungen, Sensor Networks und Digital Signal Processors (bachelor and master studies Information Technology, Alpen-Adria-Universität Klagenfurt)

Join us!

stay in contact

I am continuously searching for new contacts to industry and research! The high combination of both sectors paths the way to success stories!

Open Positions: