.

Melanie
Schranz

About me

Dr. Dipl.-Ing. Melanie Schranz

Swarm Algorithms for CPS Applications

Senior Researcher

Lakeside Labs, Klagenfurt, Austria

Swarm Algorithms for CPS Applications

since 01/2017

Senior Researcher at Lakeside Labs GmbH

Area of responsibility:

Scientific and administrative project management of the EU-H2020 project CPSwarm, and the FFG project SWILT

Grant applications (KWF, FFG, EU-level)

 

2015 – 2016

Innovation Manager at UPPERCUT group GmbH

Area of responsibility:

Grant applications, supervision and execution (KWF, AWSG, FFG)

Project management for innovative in-house products

Implementation and establishment of internal innovation culture

 

01/ 2016

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

 

2011 – 2015

Research and Teaching Staff Member at the Alpen-Adria-Universität Klagenfurt

Area of responsibility:

Independent teaching at bachelor’s and master’s level

Future-oriented research in the field of intelligent camera systems

Administration, personnel management and organization

 

2009 – 2011

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

 

2008 – 2010

Scientific Assistant at the Alpen-Adria-Universität Klagenfurt

Area of responsibility:

Support in research and teaching in the field of digital circuits and intelligent camera systems

 

Grants

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

  • KWF, investment check, 1.000€, PI
  • FFG, ICT of the future: project SWILT, ~ 1 Mio. €, PI
  • KWF, realization of innovative start-up projects (UIG), ~22.000€, PI
  • KWF, innovation program 2016|2017, 36.000€, PI
  • KWF, strategy and organisation development for growth-oriented companies, 21.000€, PI
  • KWF, investment grant (3×300.000€), capital cost grant: 7,5%, PI

Program Committee

  • Special Issue “Designing Self-Organization in the Physical Realm” in Frontiers in Robotics and AI, 2019; Special Track “ATASWARM: Algorithms, Tools and Applications for Swarm Intelligence in CyberPhysical Systems” in he Tenth International Conference on Adaptive and Self-Adaptive Systems and Applications, 2018
  • Self-Adaptive and Self-Organizing Systems (SASO) 2019; IEEE International Conference on Robotics and Automation (ICRA) 2018; American Control Conference (ACC) 2018; IEEE Transactionson Circuits and Systems for Video Technology (TCSVT) 2018; International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE) 2018; Workshop on Safety and Security of Intelligent Vehicles (SSIV) 2017 – 2019; Ad Hoc Networks, Elsevier, 2018
  • 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)
  • PR Officer of the IEEE Austria Section (since 02/2017)
  • 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

Skills

  • Programming experiences in Java, C#, C++, VHDL and in using Matlab, ROS
  • Modeling experiences in Modelio, Integranova, ADOxx
  • MS-Office
  • Foreign languages: English, Slovenian (fluent); Italian, Russian (basic skills)
  • Enjoying to solve technical and complex problems combined with organizational and planning expertise

 

Additional Trainings:

  • Management training for women in research within w-fFORTE (11/2018)
  • Project management course for EU-H2020 projects at FFG (02/2018)
  • Innovation manager program at KWF (01 – 10/2016)
  • Mentoring Program „New Generation Carinthia Mentoring“ at the Business Frauen Center (BFC Klagenfurt) (05/2015 – 05/2016)
  • Course for young scientists (Lehrgang für Nachwuchswissenschaftler – Schwerpunkt Didaktik und Führung) at the Alpen-Adria-Universität Klagenfurt (2013 – 2014)

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

 

Media coverage:

2018, Kleine Zeitung: Technik bringt Industrie ins Schwärmen
2018, DerStandard: Technik nach Vorbild der Ameise

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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.

Modeling 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/).

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Publications

Journals, Conference Papers and Book Chapters

  • Midhat Jdeed, Melanie Schranz, Alessandra Bagnato, Sarah Suleri, Gianluca Prato, Davide Conzon, Micha Sende, Etienne Brosse, Claudio Pastrone, Wilfried Elmenreich, The CPSwarm Technology for Designing Swarms of Cyber-Physical Systems. STAF 2019 – 1st Research Project Showcase Workshop, pp. 85-90, 2019
  • Elnaz Khatmi, Wilfried Elmenreich, Kristina Wogatai, Melanie Schranz, Martina Umlauft, Walter Laure, Andreas Wuttei, Swarm Intelligence Layer to Control Autonomous Agents (SWILT). STAF 2019 – 1st Research Project Showcase Workshop, pp. 91-96, 2019
  • Melanie Schranz, Micha Sende, Alessandra Bagnato, Etienne Brosse, Modeling Swarm Intelligence Algorithms for CPS Swarms. DeCPS 2019 – Workshop on Challenges and new Approaches for Dependable and Cyber-Physical Systems Engineering, 2019 (to be published).
  • Melanie Schranz, Micha Sende, Alessandra Bagnato, Etienne Brosse, Andreas Eckel, Modeling CPS Swarms: An Automotive Use Case. DeCPS 2019 – Workshop on Challenges and new Approaches for Dependable and Cyber-Physical Systems Engineering, 2019 (to be published).
  • Melanie Schranz, Alessandra Bagnato, Eienne Brosse, Wilfried Elmenreich, Modelling a CPS Swarm System: A Simple Case Study. MODELSWARD – Industrial Track, pp. 615-624, 2019.
  • Micha Sende, Davide Conzon, Arthur Pitman, Melanie Schranz, Enrico Ferrera, Midhat Jdeed, Pastrone, Wilfried Elmenreich, Scalable Distributed Simulation for Evolutionary Optimization of Swarms of Cyber-Pyhsical Systems. International Journal On Advances in Systems and Measurements, 2019 (to be published).

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.

Media Coverage

videos and newspaper articles

Teaching

bachelor and master program

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, 2019

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!

 

For more information, please contact:

schranz@lakeside-labs.com

Melanie Schranz on Twitter

Melanie Schranz on LinkedIn

Midhat Jdeed presents “The CPSwarm Technology for Designing Swarms of Cyber-Physical Systems” #STAF2019 #RPS2019

@JdeedMidhat presenting @CPSwarm_EU project at @STAFconferences #STAF2019 Research Project Showcase in @TUeindhoven https://t.co/drwjQfR3J7

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Presenting two papers from two projects: Thank you @JdeedMidhat and @EKhatmi for presenting the @CPSwarm_EU and #SWILT projects at this conference!

On our way to #Eindhoven for STAF 2019 conference to present #CPSwarm. Proceedings with our paper are already online at https://t.co/7GAUdTnkP1

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