Dirk J. (Eric) Verschuur was born in Alphen aan den Rijn, The Netherlands in 1964. He received his M.Sc. degree in 1986 and his Ph. D degree (honors) in 1991 from the Delft University of Technology (DUT), both in applied physics. From 1992 - 1997 he worked under a senior research fellowship from the Royal Dutch Academy of Art and Sciences (KNAW). In 1997 he became assistant professor and since 1999 he is an associate professor at the DUT at the laboratory of Acoustical Imaging and Sound Control. He is the project leader of the DELPHI research consortium on Multiple Removal and Structural Imaging, within which research is carried out for the oil and gas industry in the area of seismic exploration. His main interests are seismic modeling, data processing and imaging techniques. In 1997 he received SEG’s J. Clarence Karcher award and in 2006 he was awarded with the Virgil Kauffman Gold medal from the SEG.

Deyan is associate professor at Delft University since 2019, although he has been appointed to this university since 2008 on two research grants and as an assistant professor. His research interests include applications of the seismic-interferometry method on different scales – from millimetres to hundreds of kilometres – for imaging and monitoring of the subsurface of the Earth and characterization of objects. He does this with physical arrivals retrieved by seismic interferometry, but also with non-physical arrivals, which result from non-compliance with the assumptions needed for application of seismic interferometry. Currently, Deyan Draganov is co-supervisor in one Ph.D. project in Delphi and he is eager to bring his expertise on seismic interferometry in the Delphi consortium.

Koen W.A. van Dongen received his M.Sc. degree in experimental physics from the Faculty of Physics and Astronomy at Utrecht University, The Netherlands, in 1997. From 1998 to 2002, he worked as a scientist on the design of a directional borehole radar system for T&A Survey in Amsterdam. In 2001, the system won the Wall Street Journal Innovation Award and in 2002, his research resulted in a Ph.D. degree in technical sciences from Delft University of Technology, The Netherlands. During 2002 and 2003, he worked as a postdoc in the Laboratory of Electromagnetic Research, Faculty of Information Technology and Systems, at the same university. This project concerned the imaging of buried objects using electromagnetic wave fields. From 2003 to 2005, he used his Marie-Curie Intra-European fellowship to work on non-invasive thermometry during hyperthermic cancer therapy using ultrasound in the Ultrasonic Research Group at University College Cork, Ireland. In 2006, he returned to Delft to continue his research on acoustic imaging and full-waveform inversion in the Department of Imaging Physics in the Faculty of Applied Sciences. His major research interest are modelling, imaging and full-waveform inversion of acoustic and electromagnetic wave fields.

Prof. Dr. Sebastian Geiger, FREng, FRSE, FGS is the Professor of Sustainable Geoenergy and Energi Simulation Chair at the Department of Geoscience and Engineering at the Delft University of Technology. Before joining  the Delft University of Technology in 2022, he spent 16 years at Heriot-Watt University where he held the Energi Simulation Chair for Fractured and Geothermal Reservoirs, was the Director of the Institute of Geoenergy Engineering, and was Director of Research for the School of Energy, Geoscience, Infrastructure, and Society.

Sebastian received a PhD degree in Computational Geology from ETH Zurich in 2004 and worked at ETH Zurich as a postdoctoral researcher. He holds an MSc degree in Hydrogeology from Oregon State University (2000) and a Vordiplom (equivalent to BSc degree) in Geology and Mineralogy from the University of Freiburg, Germany (1997). He joined Heriot-Watt University in 2006 as an Assistant Professor and was promoted to Associate Professor in 2009 and Full Professor in 2010. In 2017 Sebastian received the Alfred Wegener Award from the European Association of Geoscientists and Engineers (EAGE). In 2020 he was appointed as a Fellow of the Royal Society of Edinburgh, Scotland’s national academy of science and letters. In 2022 he was elected as a Fellow of the Royal Academy of Engineering in the UK and in 2024 as a Fellow of the Geological Society of London.

He has published over 200 reviewed conference papers and peer-reviewed journals and edited one book. He graduated over 30 PhD students, supervised over 100 MSc project theses, and trained over 10 postdoctoral researchers. 

Sebastian is the Editor-in-Chief for the journal Geoenergy and works closely with professional societies such as the European Association of Geoscientists and Engineers. He is also an instructor for HOT Engineering, is a Board Member for the Scottish Energy Forum, and a scientific advisor to NAGRA (Swiss National Cooperative for the Disposal of Radioactive Waste). Together with Dr Hadi Hajibeygi, he created the Geoscience and Geoenergy YouTube Channel, which broadcasts webinars to an audience of over 3700 subscribers across the world.

Evert Slob was born in Veldhoven, the Netherlands in 1962. He received his engineering degree in mining and petroleum engineering (1989)and a doctorate degree (honors, 1994) in applied sciences, both from Delft University of Technology (DUT). He worked as a research fellow of the Royal Netherlands Academy of Arts and Sciences (KNAW) from 1994 to 1999. In 2000 he was a research associate, in 2001 he became asssistant professor and since 2004 he is associate professor in the applied geophysics and petrophysics group of the department of geotechnology of DUT, where he leads the electromagnetic research program. In 2004, Evert organized the tenth international conference on Ground Penetrating Radar (GPR) and edited the conference proceedings. He further edited eight special issues on GPR in four different international journals. Since March 2009 he is assistent editor of Geophysics.

My research interests have focused on the sedimentology, stratigraphy and reservoir characterization of fluvial and shallow marine depositional systems and the potential effects of sedimentological heterogeneities at a variety of spatial scales on fluid flow. I am interested in understanding the 3D variability within modern and ancient sedimentary systems and relate that to controlling factors. This understanding, in combination with forward modelling simulations, is used to predict subsurface property distributions and related uncertainties.

MSc at Utrecht University, The Netherlands (sedimentology and palaeoecology of macrofauna invertebrates)
PhD at Technical University of Delft (fluvial reservoir characterization)

My full time job is with Equinor ASA as Specialist Sedimentology and Stratigraphy. I am based in Trondheim, Norway

I am a sedimentary geologist working the interaction between hydrodynamics, surface dynamics and subsurface preservation forced by past, present and future climate change. I feel strongly committed to apply our knowledge of sedimentary systems to improve our understanding and prediction of the impact of climate change on both natural and urbanised areas. My research focuses on deltaic, coastal, lacustrine and fluvial systems and how they respond to imposed changes in river discharge and sealevel (climate-driven). I favor a combined approach of numerical simulations and sedimentological and geophysical field data analysis, generally from both present-day systems (e.g. Kangerlussuaq Fjord (Greenland), Strynvatnet (Norway), Lake Turkana (NE Africa), Caspian Sea, Adriatic Sea, Mahakam delta (Indonesia), Golo delta (France) and from various outcrop locations. By combining modelling and field research more can be learned from both worlds. I collaborate nationally and internationally with Universities, Research Institutes and companies

Dr. Guillaume Rongier is an assistant professor at TU Delft since 2021 in the Geology section. He studied Geology in the Ecole Nationale Supérieure de Géologie in Vandoeuvre-lès-Nancy and Université de Lorraine - École Nationale Supérieure de Géologie.
He received his Ph.D. in geology from the Université de Lorraine and Université de Neuchâtel. Before joining TU Delft, he was a postdoc at the MIT Haystack Observatory, the MIT Earth Resources Laboratory and at CSIRO (Western Australia).

2023 Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning Alfredo Freites / P. W.M. Corbett / G. Rongier / S. Geiger 2023 Machine learning for prediction of undrained shear strength from cone penetration test data Beiyang Yu / Divya Varkey / Abraham P. van den Eijnden / Guillaume Rongier / Michael A. Hicks 2023 Use of forward stratigraphic modelling for the detection of sub-seismic scale heterogeneities in shallow marine environments A. Cuesta Cano / A. Karimzadanzabi / J.E.A. Storms / G. Rongier / A.W. Martinius

Boris Gesbert, born in 1993 in Amsterdam, the Netherlands, works as a PhD researcher at TU Delft. He obtained his bachelor’s degree in Earth Sciences (Geophysics/Geology track) and his master’s degree in Earth Structure and Dynamics (Geophysics track) from Utrecht University in July 2016 and February 2022, respectively. During his master’s, Boris gained valuable work experience through a six-month research internship at Shell in 2020. Subsequently, he was a data engineering and data science trainee at the Nederlandse Spoorwegen from May 2022 to April 2023. In December 2023, Boris joined the Delphi consortium as a PhD candidate under the supervision of Prof. Dr. Sebastian Geiger, Dr. Eric Verschuur and Dr. Hemmo Abels. His research focuses on designing better reservoir models for geothermal systems.

Jiahua Zhao was born in 1998 in Hunan, China. He received his Bachelor's degree in Oceanography from the Southern University of Science and Technology in China (July 2020), followed by a Master's degree in Geophysics from the University of Padova in Italy (September 2023). During his BSc and MSc, he has had research internships in seismology, ML/DL and HPC at Columbia University, Harvard University, Edinburgh Parallel Computing Centre and King Abdullah University of Science and Technology. In October 2023, he joined the Delphi Consortium and the Cyprus Institute (CyI) Computation-based Science and Technology Research Center (CaSToRC) as a PhD Student / Graduate Research Fellow.

His research interests focus on the application of HPC and AI technologies in Geosciences. Currently, as part of the ENGAGE programme (MSCA COFUND), his PhD project under the supervision of Dr. D. J. Verschuur and Dr. N. Savva (CyI), which aims to improve the efficiency and quality of 3D seismic imaging processing by using HPC technologies.

Mohammad is a PhD student in the European doctorate program enabling the next generation of computational physicists and engineers (ENGAGE). His current research project receives co-funding from the European Union through the Marie Skłodowska-Curie Actions. He is working under the supervision of Dr. Eric Verschuur.

He completed his master's in Seismic Exploration at the University of Tehran. His research goal is to enhance the JMI method more physically realistic while keeping it cost-effective. The aim is to broaden its applicability to a variety of acoustic imaging applications, such as CO2/H2 subsurface storage, exploring for geothermal resrvoirs and near-surface analysis.

Leo Hoogerbrugge finished his M.Sc. at Delft University in Applied Physics in 2018. For his M.Sc. thesis he worked on spin-waves in one-dimensional spin chains. Since November 2018 he is a Ph.D. student in the Delphi consortium, where he works on the extension of the Join Migration Inversion method to the full elastic case under the guidance of Dr. Eric Verschuur. This work also requires investigation into the Full Wavefield Modeling method in order to find effective ways to model elastic seismic data without resorting to the full elastic wave equation solution via e.g. finite-difference solutions.

Sijmen Zwarts was born in 1994 in Zoetermeer, the Netherlands. In 2016 he received his B.Sc at the Hague University in Civil Engineering. After working as at a geotechnical engineering firm, he went back to the university for a bridging-program and his Masters. In 2023 he received his M.Sc. at Delft University of Technology. His M.Sc thesis focused on defining and determining the representative elementary volumes of microstructures, specifically in the case of fluid through rock, by applying numerical finite element analyses. In June 2023 he started working as a PhD Candidate with the Delphi Consortium under the supervision of M. Lesueur and H. Hajibeygi. His current research involves modelling the mechanical microstructural behaviour of rocks, including the interaction with fluids, influence of cyclic loading and the influence of hydrogen specifically.

Siamak Abolhassani, originally from Iran, earned his PhD in Applied Geophysics from Delft University of Technology, where he contributed to the Delphi Consortium. During his PhD, he developed high-resolution imaging and reflection tomography algorithms, focusing on enhancing the Delphi in-house least-squares wave-equation migration and one-way reflection waveform inversion technologies. He is now a Postdoctoral Researcher at Delft University of Technology, continuing his collaboration with the Delphi Consortium. In this role, he is developing C-based software for acoustical imaging and tomography, further advancing techniques for subsurface characterization.

Sverre Hassing was born in Utrecht in 1999. He finished the B.Sc. Earth Sciences at Utrecht University in 2020 and the joint M.Sc. Applied Geophysics between the TU Delft, ETH Zürich and RWTH Aachen in 2022.

He joined the Delhi consortium in 2022 as a Ph.D. student working on seismic characterisation of the near surface and surface-wave inversion, supervised by Deyan Draganov, Eric Verschuur and Kees Weemstra.

Andreas was born in Nicosia, Cyprus, in 1995. He completed his BSc in Physics (2018) at the University of Cyprus and later he received his MSc in High Performance Computing from the University of Edinburgh (2019). In the mean time between his BSc and MSc, in the summer of 2018, he went to CERN for a 10 week internship as a "CERN Summer Student".
In his MSc thesis he focused on means of combining distributed and shared memory programming using the models MPI+OpenMP and the MPI-3.0 Shared Memory model.
In October 2019 he joined the Delphi Consortium as a PhD candidate from the Cyprus Institute.
In his PhD he will work on optimizing the physics and numerical implementation of the JMI process, especially focusing on the wave propagation part, under the supervision of Dr. D. J. Verschuur.

Andrea Cuesta Cano was born in 1995 in Barakaldo, Spain. In 2017, she received her B.Sc. degree in Geology  from the University of the Basque Country UPV/EHU (Spain) and, in 2019, her M.Sc. in Earth Structure and Dynamics from Utrecht University (The Netherlands). During her M.Sc., she joined TOTAL S.A. (Pau, France) as an intern to study the architecture of carbonate ramps. Her M.Sc. thesis focused on the analysis of strain accommodation processes  of sand packs by applying micro-CT techniques.
In March 2021, she started working as a PhD candidate with the Delphi Consortium, under the supervision of Dr. Joep Storms and Prof. Dr. Allard Martinius. Her current research deals with the reduction of the architecture-related uncertainty in seismic data interpretation for clastic environments.

Dr.Naveed Akram was born in Sahiwal Pakistan on 1987. In August2021, He joined Delphi Consortium and Computation-based Science and Technology Research Center (CaSToRC) of The Cyprus Institute(CyI) as Computational Scientist under the kind supervision of Dr. Eric Verschuur and Dr. Nikos Savva (CyI). He was previously appointed as Post-doctoral Research Fellow at school of earth and space sciences, University of Science and Technology of China (2017-2020). He holds a Doctor of Philosophy (PhD) degree in Geophysics from University of Science and Technology of China (2017) and Master’s Degree in Seismology from The University of Punjab, Pakistan.

He is ambitious about the research focused on optimization of seismic imaging technologies using Artificial Intelligence guided by deep learning, simulation and data assimilation approaches to enhance our ability to identify subsurface reservoirs and delineate the subsurface structures accurately, which is quite applied work for today industry and academia as well.

Azin Karimzad was born in 1992 in Tehran, Iran. She received her B.Sc degree in water engineering (2014) and her first M.Sc. in geotechnical engineering (2016). During her first master's, she worked on novel image processing techniques in geotechnical engineering. 

She finished her second M.Sc. in geophysics in 2019. Her geophysics M.Sc. thesis focused on wave-equation migration velocity analysis. Shortly after graduation, Azin joined the University of Twente to work as a PDEng in-ground penetration radar validation and verification protocol project. Then she worked in a company as a GPR expert focusing on finding novel methods to extract parameters out of radargrams using geophysical methods combined with machine learning. Her current research concentrates on improving imaging resolution by using prior knowledge on detailed geologic scenarios combined with machine learning under the supervision of Dr. Eric Verschuur. 

Camille Chapeland, born in 1997 in Paris, France, works as a PhD researcher at TUDelft. She previously graduated from the University College of Utrecht, Netherlands, with a B.Sc. in Earth sciences and physics. She then attended the University of Utrecht where she graduated in August 2020 with a M.Sc. in Earth stucture and dynamics. While completing her M.Sc. research projects, Camille worked as a neural network architect at the Dutch Royal Institute of Meteorology (KNMI) in the Deepquake project. In December 2020 she joined the Delphi consortium as a PhD researcher to improve methods of near-surface imaging and characterization under the supervision of Dr. Gerrit Blacquière, Dr. Deyan Draganov and Dr. Kees Weemstra.

Aydin Shoja was born in Kerman, Iran, in 1991.
He received a B.Sc. degree in mining engineering from the University of Kerman, Kerman, in 2015, an M.Sc. degree in geophysics from the University of Tehran, Tehran, Iran, in 2018, and a Ph.D. in Applied geophysics from Delft University of Technology, Delft, The Netherlands, 2023.

He is currently a post-doctoral researcher in applied geophysics with the Delft University of Technology and Delphi consortium, Delft, The Netherlands.
His research has been concerned with wave physics for imaging and inversion purposes.

2024 Application of Marchenko-based isolation to a land seismic dataset F. Shirmohammadi / D. Draganov / J. van IJsseldijk / R. Ghose / J. Thorbecke / E. Verschuur / K. Wapenaar 2024 Design, implementation and application of the Marchenko plane-wave algorithm Jan Thorbecke / Mohammed Almobarak / Johno van IJsseldijk / Joeri Brackenhoff / Giovanni Meles / Kees Wapenaar 2023 Extracting small time-lapse traveltime changes in a reservoir using primaries and internal multiples after Marchenko-based target zone isolation J.E. van IJsseldijk / J.R. van der Neut / J.W. Thorbecke / C.P.A. Wapenaar 2023 Time-lapse applications of the Marchenko method on the Troll field Johno van IJsseldijk / Joeri Brackenhoff / Jan Thorbecke / Kees Wapenaar 2022 3D Marchenko applications implementation and examples Joeri Brackenhoff / Jan Thorbecke / Giovanni Meles / Victor Koehne / Diego Barrera / Kees Wapenaar

Ali Reza, originally from Iran, is a PhD researcher at TU Delft. Before attending TU Delft, he earned his bachelor’s degree in petroleum engineering from the Petroleum University of Technology in Ahwaz, Iran, in 2012, and his master’s degree in exploration seismology from the Institute of Geophysics at the University of Tehran, Iran, in 2015. After completing his master's, he worked in various roles from 2016 to 2023, including seismic data processing and quality control, gaining valuable experience in seismic imaging and subsurface characterization. In July 2024, he joined the Delphi consortium, where he works on seismic monitoring techniques for UHS in different storage scenarios under the supervision of Dr. Deyan Draganov and Dr. Eric Verschuur.