Prof. Dr. Dimitrios Paraforos

Organizational Unit(s):Department of Technology Professorship for Technology

Contact:
Phone: +49 6722 502 362
eMail: Dimitrios.Paraforos(at)hs-gm.de

Postal Address:Von-Lade-Straße 1
D-65366 Geisenheim

Address: Building 6003
Room 4
Brentanostraße 9
65366 Geisenheim

Dimitrios Stergios Paraforos was born in Thessaloniki, Greece and grew up on a farm in Northern Greece. He completed his BSc studies in Automation Engineering at the Technological Educational Institute of Chalkida (now National and Kapodistrian University of Athens) and his MSc in Agricultural Engineering at the University of Thessaly.

After working for some years in the Industry as an Automation Engineer, he joined the University of Hohenheim where he obtained his PhD (2016) and Habilitation (2020) in Agricultural Engineering. In 2018 he received the Baden-Württemberg Certificate for academic teaching, while in 2020 he was awarded the GIL prize for his Habilitation Thesis.

Since April 2023 he is serving as a Professor of Agricultural Engineering in Special Crops at the Hochschule Geisenheim University. He is also serving as an associate editor of Computers and Electronics in Agriculture and is a member of the Editorial Board of Smart Agricultural Technology (both published by Elsevier).

He has been involved in more than 20 European and national research projects in the field of digitisation of agriculture and technology transfer. He is currently the coordinator of two BMEL-funded projects, DIWAKOPTER and Oenotrace, which focus on the implementation and traceability of sustainable cultivation practices in speciality crops. His research interests include the automation of agricultural machinery, unmanned ground and air vehicles and decentralised and resilient digital farming systems.

van Evert F.K., Bresilla T., Nieuwenhuizen A., Veldhuisen B., Hemming J., Avgoustakis G., Fountas S., Koutsiaras M., Mylonas N., Baron S., Dritsopoulos T., Legas M., Hilbrands H., Wolters J., Hommes K.J., Karagiannis P., Makris S., Michalos G., Paraforos D., Sharipov G., Pedersen S.M., Pinel B., Radisic M., Rascón J.F., Rizzo C., Sanchez R., Scovill A., Serra O., Vidal J. (2024): Implementing a digital twin for flexible operation of agricultural robotics. 9781801469913

Latherow T., Arnoult M., Engel T., Gralfs R., Hrynevych O., Karampoiki M., Mahmood S., Murdoch A., Paraforos D., Ranieri E., Todman L., Tranter R., Hammond, J. (2024): Optimising Precision Agriculture Choices for Arable Farmers in Germany and the UK: the LINKDAPA Approach. EuroChoices DOI: 10.1111/1746-692X.12426

Poss B., Tsoulias N., Heiß A., Paraforos D. (2024): Vergleich zwischen luft- und bodengeführten Laser-Scannern zur Bestimmung der Laubwandhöhe im Weinbau. Bonn S. 371 - 376.
978-3-88579-738-8

Sharipov G.M., Heiß A., Eshkabilov S.L., Griepentrog H.W., Paraforos D.S. (2023): Considering field topography in the model-based assessment of a centrifugal spreader’s variable rate application accuracy. Computers and Electronics in Agriculture 213 DOI: 10.1016/j.compag.2023.108234

Mahmood S.A., Karampoiki M., Hammond J.P., Paraforos D.S., Murdoch A.J., Todman L. (2023): Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather. Smart Agricultural Technology 4 DOI: 10.1016/j.atech.2023.100224

Poss B., Friedel M., Bartsch K., Stoll M., Paraforos D. (2023): Investigation of spraying applications using a UAS in viticulture. Wageningen Academic Publishers S. 183 - 188. DOI: 10.3920/978-90-8686-947-3_21
978-90-8686-393-8

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2023): Nutzerzentrierte Entscheidungstools und dynamische Steuerungsalgorithmen für eine differenzierte mehrparametrische N-Düngung. S. 339 - 344.
978-3-88579-724-1

Sharipov G.M., Heiß A., Bresilla T., Nieuwenhuizen A.T., Hemming J., van Evert F.K., Baron S., Benrais A., Avgoustakis I., Mylonas N., Fountas S., Vasilaros P., Karagiannis P., Vidal J., Paraforos D.S. (2023): Smart implements by leveraging ISOBUS: Development and evaluation of field applications. Smart Agricultural Technology 6 DOI: 10.1016/j.atech.2023.100341

Bökle S. Karampoiki M., Paraforos D.S., Griepentrog H.W. (2023): Using an open source and resilient technology framework to generate and execute prescription maps for site-specific manure application. Smart Agricultural Technology 5 DOI: 10.1016/j.atech.2023.100272

Heiß A., Paraforos D.S., Sharipov, G.M., Ullrich, P., Bruns J., Abecker A., Griepentrog H.W. (2023): Versatile and user-centered concept for temporally and spatially adapted nitrogen application based on multiple parameters. European Journal of Agronomy 145 DOI: 10.1016/j.eja.2023.126792

Bökle S., Paraforos D.S., Reiser D., Griepentrog H.W. (2022): Conceptual framework of a decentral digital farming system for resilient and safe data management. Smart Agricultural Technology 2 DOI: 10.1016/j.atech.2022.100039

Paraforos D., Aubé C., Athanasakos L., Avgoustakis I., Baron S., Bresilla T., Fountas S., Hemming J., Karagiannis P., Mylonas N., Nieuwenhuizen A.T., Garcia F.R., Pavlenko T., Scovill A., Sharipov G.M., Vidal J., van Evert F.K. (2022): Connecting agricultural robots and smart implements by using ISO 11783 communication. Elsevier S. 200 - 205. DOI: 10.1016/j.ifacol.2022.11.139

Kayad A., Sozzi M., Paraforos D.S., Rodrigues F.A., Cohen Y., Fountas S., Francisco M., Pezzuolo A., Grigolato S., Marinello F. (2022): How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation. Computers and Electronics in Agriculture 198 DOI: 10.1016/j.compag.2022.107080

Sharipov G.M., Heiß A., Eshkabilov S.L., Griepentrog H.W., Paraforos D.S. (2022): In-field Static Spread Pattern of a Centrifugal Spreader by Considering Field Topography. Elsevier S. 223 - 228. DOI: 10.1016/j.ifacol.2022.11.143

Paraforos D.S., Sharipov G.M., Heiß A., Griepentrog H.W. (2022): Position Accuracy Assessment of a UAV-Mounted Sequoia+ Multispectral Camera Using a Robotic Total Station. Agriculture 12 (6) DOI: 10.3390/agriculture12060885

Argyropoulos D., Paraforos D. (2022): Predicting equilibrium moisture content of mushrooms by NARX neural network and first order kinetic modelling approaches. Elsevier S. 241 - 246. DOI: 10.1016/j.ifacol.2022.11.146

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2022): Real-time control for multi-parametric data fusion and dynamic offset optimization in sensor-based variable rate nitrogen application. Computers and Electronics in Agriculture 196 DOI: 10.1016/j.compag.2022.106893

Bökle S., Könn L., Reiser D., Paraforos D.S., Griepentrog H.W. (2021): Consideration of resilience for digital farming systems. Wageningen Academic Publishers S. 25 - 31. DOI: 10.3920/978-90-8686-916-9_1
978-90-8686-363-1

Paraforos D.S., Griepentrog H.W. (2021): Digital Farming and Field Robotics: Internet of Things, Cloud Computing, and Big Data. 978-3-030-70400-1

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2021): Modeling and simulation of a multi-parametric fuzzy expert system for variable rate nitrogen application. Computers and Electronics in Agriculture 182 DOI: 10.1016/j.compag.2021.106008

El Ouali A., El Hafyani M., Roubil A., Lahrach A., Essahlaoui A., Hamid F.E., Muzirafuti A., Paraforos D.S., Lanza S., Randazzo G. (2021): Modeling and Spatiotemporal Mapping of Water Quality through Remote Sensing Techniques: A Case Study of the Hassan Addakhil Dam. Applied Sciences 11 (19) DOI: 10.3390/app11199297

Sharipov G.M., Heiß A., Karampoiki M., Griepentrog H.W., Paraforos D.S. (2021): Modelling of in-field dynamic response of a centrifugal spreader to variable rate application. S. 95 - 102. DOI: 10.3920/978-90-8686-916-9_10
978-90-8686-363-1

Hennhöfer O., Bruns J., Ullrich P., Heiß A., Sharipov G., Paraforos D. (2021): Multidimensional Exploratory Spatial Data Analysis. ÖAW S. 136 - 151. DOI: 10.1553/giscience2021_02_s136

Karampoiki M., Heiß A., Sharipov G., Mahmood S., Todman L., Murdoch A., Griepentrog H.W., Paraforos D.S. (2021): Producing grain yield maps by merging combine harvester and remote sensing data. Wageningen Academic Publishers S. 645 - 651. DOI: 10.3920/978-90-8686-916-9_77

Heiß A., Paraforos D.S., Sharipov G.M., Karampoiki M., Griepentrog H.W. (2021): Real-time fuzzy system for variable rate nitrogen application based on multiple parameters. S. 63 - 70. DOI: 10.3920/978-90-8686-916-9_6
978-90-8686-363-1

Sharipov G.M., Heiß A., Eshkabilov S.L., Griepentrog H.W., Paraforos D.S. (2021): Variable rate application accuracy of a centrifugal disc spreader using ISO 11783 communication data and granule motion modeling. Computers and Electronics in Agriculture 182 DOI: 10.1016/j.compag.2021.106006

Tsoulias N., Paraforos D.S., Xanthopoulos G., Zude-Sasse M. (2020): Apple Shape Detection Based on Geometric and Radiometric Features Using a LiDAR Laser Scanner. Remote Sensing 12 DOI: 10.3390/rs12152481

Sharipov G.M., Heiß A., Griepentrog H.W., Paraforos D.S. (2020): Evaluation of Centrifugal Spreader Response to Variable Rate Application by Using Task File Data. IFAC PAPERSONLINE 53 (2) S. 15804 - 15809. DOI: 10.1016/j.ifacol.2020.12.213

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2020): Fuzzy Farmer – optimierte Stickstoffdüngung durch mehrparametrische Datenfusion und präzise Applikation in Echtzeit. S. 109 - 114.
978-3-88579-693-0

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2020): Modelling and Simulation of a Fuzzy System for Site-Specific Nitrogen Fertilization. Elsevier S. 15790 - 15795. DOI: 10.1016/j.ifacol.2020.12.208

Kayad A., Paraforos D.S., Marinello F., Fountas S. (2020): [Editorial:] Latest Advances in Sensor Applications in Agriculture. MDPI DOI: 10.3390/agriculture10080362

Tsoulias N., Paraforos D.S., Fountas S., Zude-Sasse M. (2019): Calculating the water deficit spatially using LiDAR laser scanner in an apple orchard. S. 115 - 121. DOI: 10.3920/978-90-8686-888-9_13
978-90-8686-337-2

Heiß A., Paraforos D.S., Griepentrog H.W. (2019): Determination of a field boundary using ISO 11783 and D-GNSS data acquired during a ploughing operation. S. 775 - 782. DOI: 10.3920/978-90-8686-888-9_96
978-90-8686-337-2

Heiß A., Paraforos D.S., Griepentrog H.W. (2019): Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data. Agriculture 9 (2) DOI: 10.3390/agriculture9020038

Tsoulias N., Paraforos D.S., Fountas S., Zude-Sasse M. (2019): Estimating Canopy Parameters Based on the Stem Position in Apple Trees Using a 2D LiDAR. Agronomy 9 (11) DOI: 10.3390/agronomy9110740

Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2019): ISO 11783-compatible industrial sensor and control systems and related research: A review. Computers and Electronics in Agriculture 163 DOI: 10.1016/j.compag.2019.104863

Paraforos D.S., Griepentrog H.W. (2019): Tractor fuel rate modeling and simulation using switching Markov chains on CAN-Bus data. IFAC PAPERSONLINE 52 (30) S. 379 - 384. DOI: 10.1016/j.ifacol.2019.12.580

Sharipov G.M., Paraforos D.S., Griepentrog H.W. (2019): Validating the Model of a No-Till Coulter Assembly Equipped with a Magnetorheological Damping System. Applied Sciences 9 DOI: 10.3390/app9193969

Vazquez-Arellano M., Reiser D., Paraforos D.S., Garrido-Izard M., Burce M.E.C., Griepentrog H.W. (2018): 3-D reconstruction of maize plants using a time-of-flight camera. Computers and Electronics in Agriculture 145 S. 235 - 247. DOI: 10.1016/j.compag.2018.01.002

Paraforos D.S., Hubner R., Griepentrog H.W. (2018): Automatic determination of headland turning from auto-steering position data for minimising the infield non-working time. Computers and Electronics in Agriculture 152 S. 393 - 400. DOI: 10.1016/j.compag.2018.07.035

Tsoulias N., Paraforos D., Brandes N., Fountas S., Zude-Sasse M. (2018): Calculating the Water Deficit of Apple Orchard by Means of Spatially Resolved Approach. Montreal,Quebec

Vazquez-Arellano M., Paraforos D.S., Reiser D., Garrido-Izard M., Griepentrog H.W. (2018): Determination of stem position and height of reconstructed maize plants using a time-of-flight camera. Computers and Electronics in Agriculture 154 S. 276 - 288. DOI: 10.1016/j.compag.2018.09.006

Sharipov G.M., Paraforos D.S., Griepentrog H.W. (2018): Implementation of a magnetorheological damper on a no-till seeding assembly for optimising seeding depth. Computers and Electronics in Agriculture 150 S. 465 - 475. DOI: 10.1016/j.compag.2018.05.024

Reiser D., Vazquez-Arellano M., Paraforos D.S., Garrido-Izard M., Griepentrog H.W. (2018): Iterative individual plant clustering in maize with assembled 2D LiDAR data. Computers in industry 99 S. 42 - 52. DOI: 10.1016/j.compind.2018.03.023

Paraforos D.S., Griepentrog H.W., Vougioukas S.G. (2018): Modeling and Simulation of a Four-Rotor Rake Loading for Predicting Accumulated Fatigue Damage: A Markov Regime-Switching Approach. Applied engineering in agriculture 34 (2) S. 317 - 325. DOI: 10.13031/aea.12420

Reiser D., Paraforos D.S., Khan M.T., Griepentrog H.W., Vazquez-Arellano M. (2017): Autonomous field navigation, data acquisition and node location in wireless sensor networks. Precision Agriculture 18 S. 279 - 292. DOI: 10.1007/s11119-016-9477-2

Sharipov G.M., Paraforos D.S., Pulatov A.S., Griepentrog H.W. (2017): Dynamic performance of a no-till seeding assembly. Biosystems Engineering 158 S. 64 - 75. DOI: 10.1016/j.biosystemseng.2017.03.016

Kortenbruck D., Griepentrog H.W., Paraforos D.S. (2017): Machine operation profiles generated from ISO 11783 communication data. Computers and Electronics in Agriculture 140 S. 227 - 236. DOI: 10.1016/j.compag.2017.05.039

Sharipov G.M., Paraforos D.S., Griepentrog H.W. (2017): Modelling and simulation of the dynamic performance of a no-till seeding assembly with a semi-active damper. Computers and Electronics in Agriculture 139 S. 187 - 197. DOI: 10.1016/j.compag.2017.05.010

Paraforos D.S., Vassiliadis V., Kortenbruck D., Stamkopoulos K., Ziogas V., Sapounas A.A., Griepentrog H.W. (2017): Multi-level automation of farm management information systems. Computers and Electronics in Agriculture 142 S. 504 - 514. DOI: 10.1016/j.compag.2017.11.022

Paraforos D.S., Griepentrog H.W. (2017): Switching Markov chains for modelling the loads of a four-rotor swather under different operating modes. IFAC PAPERSONLINE 50 (1) S. 5392 - 5397. DOI: 10.1016/j.ifacol.2017.08.1072

Paraforos D.S., Reutemann M., Sharipov G., Werner R., Griepentrog H.W. (2017): Total station data assessment using an industrial robotic arm for dynamic 3D in-field positioning with sub-centimetre accuracy. Computers and Electronics in Agriculture 136 S. 166 - 175. DOI: 10.1016/j.compag.2017.03.009

Vazquez-Arellano M., Griepentrog H.W., Reiser D., Paraforos D.S. (2016): 3-D Imaging Systems for Agricultural Applications-A Review. Sensors 16 (5) DOI: 10.3390/s16050618

Vazquez-Arellano M., Griepentrog H.W., Reiser D., Paraforos D.S. (2016): 3-D Imaging Systems for Agricultural Applications-A Review. Sensors 16 DOI: 10.3390/s16071039

Paraforos D.S., Vassiliadis V., Kortenbruck D., Stamkopoulos K., Ziogas V., Sapounas A.A., Griepentrog H.W. (2016): A Farm Management Information System Using Future Internet Technologies. IFAC PAPERSONLINE 49 S. 320 - 325. DOI: 10.1016/j.ifacol.2016.10.060

Paraforos D.S., Griepentrong H.W., Vougioukas S.G. (2016): Country road and field surface profiles acquisition, modelling and synthetic realisation for evaluating fatigue life of agricultural machinery. Journal of terramechanics 63 S. 1 - 12. DOI: 10.1016/j.jterra.2015.10.001

Reiser D., Miguel G., Arellano M.V., Griepentrog H.W., Paraforos D.S. (2016): Crop Row Detection in Maize for Developing Navigation Algorithms Under Changing Plant Growth Stages. Advances in Intelligent Systems and Computing 417 S. 371 - 382. DOI: 10.1007/978-3-319-27146-0_29
978-3-319-27145-3

Paraforos D.S., Griepentrog H.W., Vougioukas S.G. (2016): Methodology for designing accelerated structural durability tests on agricultural machinery. Biosystems Engineering 149 S. 24 - 37. DOI: 10.1016/j.biosystemseng.2016.06.004

Argyropoulos D., Paraforos D.S., Alex R., Griepentrog H.W., Muller J. (2016): NARX Neural Network Modelling of Mushroom Dynamic Vapour Sorption Kinetics. IFAC PAPERSONLINE 49 (16) S. 305 - 310. DOI: 10.1016/j.ifacol.2016.10.056

Garrido M., Paraforos D.S., Reiser D., Vazquez Arellano M., Griepentrog H.W., Valero C. (2015): 3D Maize Plant Reconstruction Based on Georeferenced Overlapping LiDAR Point Clouds. Remote Sensing 7 (12) S. 17077 - 17096. DOI: 10.3390/rs71215870

Reiser D., Paraforos D., Khan M., Griepentrog H. (2015): Autonomous field navigation for data acquisition of wireless sensor Networks. Wageningen Academic Publishers S. 267 - 374. DOI: 10.3920/978-90-8686-814-8_32
978-90-8686-267-2

Paraforos D., Griepentrog H., Geipel J., Stehle T. (2015): Fused inertial measurement unit and real time kinematic-global navigation satellite system data assessment based on robotic total station information for in-field dynamic positioning. Wageningen Academic Publishers S. 275 - 282. DOI: 10.3920/978-90-8686-814-8_33
978-90-8686-267-2

Paraforos D.S., Griepentrog H.W., Vougioukas S.G., Kortenbruck D. (2014): Fatigue life assessment of a four-rotor swather based on rainflow cycle counting. Biosystems Engineering 127 S. 1 - 10. DOI: 10.1016/j.biosystemseng.2014.08.006

Paraforos D.S., Griepentrog H.W. (2014): Surface profiles acquisition for assessing fatigue life of agricultural machinery in test facilities. ISTVS
978-1-942112-45-7

Fountas S., Paraforos D., Cavalaris C., Karamoutis C., Gemtos T.A., Abu-Khalaf N., Tagarakis A. (2013): A five-point penetrometer with GPS for measuring soil compaction variability. Computers and Electronics in Agriculture 96 S. 109 - 116. DOI: 10.1016/j.compag.2013.04.018

Tsiropoulos Z., Fountas S., Gemtos T., Gravalos I., Paraforos D. (2013): Management information system for spatial analysis of tractor- implement draft forces. Wageningen Academic Publishers S. 349 - 356. DOI: 10.3920/978-90-8686-778-3_42
978-90-8686-778-3

Paraforos D., Griepentrog H.W. (2013): Multivariable greenhouse climate control using dynamic decoupling controllers. Elsevier S. 305 - 310. DOI: 10.3182/20130828-2-SF-3019.00064

Griepentrog H., Dühring Jaeger C., Paraforos D. (2013): Robots for Field Operations with Comprehensive Multilayer Control. Künstliche Intelligenz 27 (4) S. 325 - 333. DOI: 10.1007/s13218-013-0266-z

Optimised management of field robots through intelligent process control and standardised interoperability mechanisms

Project start: 01.11.2024
Project end: 31.10.2027
Sponsor: Federal Ministry of Food and Agriculture

Autonomous field robots have enormous potential for ecologizing crop production and mitigating labor shortage. Although these systems are now ready for market, there are still major challenges, particularly with regard to their interaction with machine management, process control and the interaction between robot and implement. The aim of ISObot is to develop an integrated system for optimizing the operational management of field robots through improved interoperability at different levels, as well as automated process control. The starting point are commercial robot-implement combinations and a web-based machine management system. A process controller is being developed for weed management in viticulture, which uses sensors and intelligent algorithms to monitor and actively control the work process and document the quality of work. Another use case in arable farming will focus on monitoring the hoeing process and recording process parameters. In both cases, the robots will be linked to the machine management system via an IoT system in order to visualize process-relevant information via user-friendly interfaces and make it available for further agronomic use. Finally, approaches are being developed to bring communication between the subsystems involved into an automated, machine-readable form, primarily on the basis of the ISO 11783 (ISOBUS) standard, thus ensuring maximum interoperability at different levels without additional manual effort. Dissemination and transfer activities will be leveraged in the project to establish an exchange with agricultural practice. Eventually, another aim is to derive recommendations for further standardization efforts to improve the interoperability of electronic communication in agricultural machinery.

Smart Nitrogen Management for Diverse Cropping Systems

Project start: 01.05.2024
Project end: 30.04.2027
Sponsor: Federal Ministry of Education and Research

The diversification of cropping systems supports sustainability, climate resilience and ecosystem services, and will be considered in the context of Precision Agriculture in NSmartSystems. Various methods and open-source tools will be developed to optimally combine diversification and precision fertiliser management, enabling farmers to improve their profitability and reduce negative environmental impact. The specific objectives of the NSmartSystems project are: (1) Development of decision support systems (DSS) for the diversification of cropping systems through crop rotation and the intelligent use of catch crops. (2) Improved decision making for variable rate N fertilisation through user-centered, multi-parametric tools. (3) Optimisation of in-field variable rate N application through improved coordination of the application system and spreade. (4) Develop tools for farmers to analyse and monitor the impact of their management decisions over time.

LOEWE-Transfer-Professorship Technology in Production of Special Crops

Project start: 01.03.2024
Project end: 28.02.2029
Sponsor: Hessen State Ministry of Higher Education, Research and the Arts

From vineyard to bottle – trace sustainable practices in wine-growing under full transparency

Project start: 01.06.2023
Project end: 30.11.2026
Sponsor: European Commission, Federal Ministry of Food and Agriculture

Oenotrace will provide solutions to the ICT-AGRI-FOOD call for proposals as it includes a data-driven system enabling and promoting transparency for the end-users along the value chain from producer to consumer. Mapping of the value chain will be performed, and in the next step critical points/process steps where information flow (and transparency) can be improved will be identified. This will be examined having wine-growing in the focus and will provide the consumers with a clear and transparent tracing of how the bottle of wine has reached them. Data will be available along the entire value chain starting from machinery working in the field applying various rates of inputs (fuel, pesticides, fertilizers) and climate conditions up to winemaking, bottle filling and transportation. One main target is to trace back with full transparency sustainable cultivation practices.

Experimental field Digitisation in agriculture and viticulture using multicopters, networked sensors and satellite-supported communication channels

Project start: 28.02.2020
Project end: 27.02.2025
Sponsor: Federal Ministry of Food and Agriculture

Digital Experimental Field DIWAKOPTER: A cyber-physical ecosystem connecting space and farm

Event: Space Solutions for Sustainable Agriculture
Date: 25.01.2023
Location: Berlin (Deutschland)
Speaker: Paraforos, Dimitrios

Prof. Dr. Dimitrios Paraforos

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