ESR1 - Majid Ansari-Asl

Background: Majid is a master's student in Color in Science and Industry(COSI) EMJMD program. He is currently doing his master's thesis on 3D-spectral imaging and data fusion in Norwegian Color and Visual Computing Laboratory at NTNU. Prior to COSI, he received a MSc degree in Electrical-Electronic engineering with a focus on color image processing. He also has a few years of hands on experience in programming high-tech signal processing systems. His current research interests include color science, color/spectral imaging, and 3D scanning.

Aspirations within project: Majid's aspiration within ApPEARS-ESR1 project is to integrate hardware and software in order to develop a system to measure total appearance attributes such as color, gloss, translucency and/or texture. Design and implementation of the measurement architectures, developing novel image-based methods for appearance attributes estimation, and evaluation test charts creation are parts of this work.

Country of Origin: Iran                                                                Host Institution: NTNU

ESR2 - Altynay Kadyrova

Background: I finished school with golden medal award and after graduated from Kazakh-British Technical University with the major in Information Systems. During my studies, I did several professional internships in PwC, KPMG companies in tax and legal services department as well as volunteering internships in Estonia and Indonesia. After my Bachelors degree, I was employed by Hewlett Packard (HP) company where I worked in communication field (servers, storage and routers). During HP, I got opportunity to do research in South Korea and I decided to go to Korea and did research about Artificial Intelligence, Noise Communication, Cognitive Radio Sensor Networks there. Then I started my Masters in Colour Science. During my Masters, I did summer internship in Olympus Corporation in Tokyo on Deep Learning based project. My master thesis project was about color quality control of liquid foundations which I did in L’Oreal in Paris.

Aspirations within project: Nowadays, it is becoming vital to model HVS workflow in many industries. Also, one of my research interests is human perception and with the help of this project I am motivated to do deeper research on HVS and its role in material reproduction. To create relevant IQM with HVS model and guidelines for subjective and objective quality assessment are the main outcomes of this project. Thus, I would like to contribute into the research field.

Country of Origin: Kazakhstan                                                           Host Institution: NTNU

ESR3 - Dipanjana Saha

Background: I completed my bachelor's in Electronics from Calcutta University in 2012. Later i pursued a Master's in technology (specializing in Optics and Optoelectronics) from Calcutta University in 2017. My research interests are Optical metrology, microscopy & spectroscopy, biomedical imaging, and digital holography.

Aspirations within project: My main aspiration is to identify how the visual system works to differentiate a real object from an artificial one. This research will give information through developments of BRDF models of different surfaces to conduct to these confident and strong diagnostics. This is the objective of my PhD to bring the community elements to give this information. And finally, a categorization based on results from measurements and models will be done, to understand the optical difference between natural and artificial materials.
This project will help me to learn the measurement and reproduction of the Appearance, advanced study of specular peaks of natural and artificial surfaces which will give me an opportunity to learn about visualization. We will use one of the most advances gonio-spectrophotometer in the world to perform BRDF measurements of natural and artificial surfaces based on our literature study. I will measure the roughness of artefacts which will be accessed from a collection of rough-meters available at CNAM. And these measurement data will be used to develop BRDF models that allow extracting parameters that are characteristics of the naturals and artificial surfaces. Which will help to reveal the fact why human visual system can differentiate a plastic made fruit from a natural one.
Apart from this I will learn 3D and 2.5D printing technology and photometry, to detect and reproduce the material surface texture and evaluate the feasibility of different methods for material appearance reproduction in different unconventional fields.

Country of Origin: India                                                           Host Institution: CNAM

ESR4 - Alina Pranovich

Background: I studied engineering physics specialising in lasers and optoelectronics. I received both bachelor and master degrees from the Faculty of Nuclear Sciences and Physical Engineering at the Czech Technical University in Prague. I had a unique opportunity to work on my bachelor and master's projects as well as become a member of the research team at the Hilase laser centre, Czech Academy of Sciences.  There, I could extend my theoretical knowledge in optics by experience in developing applications, devices and control systems. Topics I worked on included high power pulsed Iasers, optical gas sensing and nonlinear pulse compression.

Aspirations within project:I am thrilled to be a part of this ambitious international project that will serve both science and industry. My aim is to contribute to printing technology by extending already existing and formulating new models for colour prediction and separation, once an additional dimension is introduced.

Country of Origin: Belarus                                                           Host Institution: LIU

ESR5 - Fereshteh Abedini

Background: I completed my bachelor of science from Shahed University, Iran; my thesis topic was Designing motion detector and control unit of automatic gates. Afterwards i pursued my master's of Science from Tehran Polytechnic; my thesis topic was Increasing reliability in measuring distance between nodes of mobile wireless sensor networks with IEEE standard 802.15.4.

Aspirations within project: Imagining myself as a member of an international team doing cutting-edge research in a field which I have put all my life in, I feel I am in cloud nine!

Country of Origin: Iran                                                           Host Institution: LIU

ESR6 - Abigail Trujillo

Background: I hold a Bachelor and a Master’s degree in Physics by the National Autonomous University of Mexico (UNAM) with a focus in optics and analytical sciences, and, I studied a diploma course in Art History. My academic interests span from the colour science to the material history of art and visual human experience as an evolving process. I am interested, as well, in the novel and unexplored capabilities to render and understanding colour and visual surface properties. I have experience in performing optics experiments, spectroscopy techniques and spectra processing. I have analyzed archaeological ceramics in the lab and have worked in ceramics fabrication processes, including paste and glaze palettes testing, casting and 3D printing in the environment of a design studio.

Aspirations within project: By this project, I expect to support the development of an efficient and rich visual language for the years to come. I want to be an active participant in the process of perfecting the flow of information from the physical world to the digital language, and the other way around. Thus, I aspire to learn and bring to practice all the necessary skills to become a specialist in the understanding and manipulation of appearance in 2.5 D and 3D surfaces.
My aim is being capable to handle a quantitative characterization of the visual properties by optical and imaging techniques, as well as the planning and performance of high quality printing processes. I am eager to exploit both, my background in the physical sciences and the approaching to visual features that I acquired while stepping in the fields of art and design. It has always been my aspiration to collaborate with all the people who are passionate on the same topics, and to be part of a real community that spans academy, industry and the visual arts. In consequence, I may expect to keep working within such international community and getting results after finishing my PhD studies.

Country of Origin: Mexico                                                           Host Institution: UWE

ESR7 - Riuli He

Background: I received my Bachelor and Master degrees specializing in Printing Engineering and Image Science and Engineering respectively from Beijing Institute of Graphic Communication, China. My research interests include color image reproduction, color appearance modelling, color vision and perception.

Aspirations within project:  I’m ready to work hard and make contributions for this project and looking forward to cooperating with others for the same goal. Hopefully, the research project could be finished successfully and applied to the industries. Moreover, I’m eager to obtain more professional knowledge and enhance my research skills about the color 3D printing to make me become an expert in this field.

Country of Origin: China                                                           Host Institution: LEEDS

ESR8 - Tom Gillooly

Background: - Bachelor's Degree in Electrical and Electronic Engineering from the University of Auckland, New Zealand
- Master's Degree in Applied Computer Science from NTNU i Gjovik, under the COSI program
- Five years commercial experience as an embedded software engineer
- Former intern at Disney Research Zurich in the Projection Technologies team
- Currently a Research Engineer at INSA Lyon, researching Vision-Language Navigation

Aspirations within project:  I'm interested in finding the cues that our visual system uses to recognise different materials without us realising it. If we identify these cues, can we exploit them to accurately simulate material appearance? How would we even know if we've done this successfully? Answering these questions demands a real multi-disciplinary approach, spanning computer vision, imaging, computer graphics, human perception, and art. I hope to synthesise these domains (and many more which I'm sure I'll find along the way!) and discover what each can contribute to the others. I'll be coming into the project of the back of a year and half of deep learning research, and I'm curious as to how modern machine learning techniques can be integrated with the material appearance rendering pipelines of the future.

Country of Origin: UK/New Zealand                                      Host Institution: NTNU

ESR9 - Lubna Abu Rmaileh

Background: Lubna is a mathematician and aspiring entrepreneur. She earned a bachelor's degree in mathematics from Birzeit University and a master's degree in applied mathematics and computer science from the Weizmann Institute of Science. Upon her graduation, she joined Teva Pharmaceuticals where she led an e-health project. She has since been interested in utilising technology for the service of the health and medical fields. Lubna has also been involved in founding a small-sized company that focuses on bridging between different communities through personal story-telling.


Aspirations within project:  Through her work within the ApPEARS project at Fraunhofer IGD, Lubna aims to put to practice cutting edge machine learning algorithms in the field of 3D printing. Her goal is to gain the necessary scientific, research, and soft skills that will allow her to achieve her career goals as an entrepreneur in this fast-growing domain.

Country of Origin: Palestine                                      Host Institution: FHG

ESR11 - Tanzima Habib

Background: Tanzima Habib is a final year master's student at NTNU. Currently, she is working as a colour science intern at HP Printing and Computing Solutions, SLU, Barcelona. In her current role she is a part of the writing systems group and is researching into predicting ICC profiles for various printmodes using machine learning. She has a diverse background in software engineering and geoinformatics, and her interest lies primarily in the domain of colour management and image processing.

Aspirations within project:  Her research interest lie in the domain of image processing, colour reproduction and visual appearance. In this project she aspires to predict 2.5D appearance using a well tested colour reproduction framework as well to find out efficient processing techniques to handle high texture information related to non- planar media.

Country of Origin: India                                                           Host Institution: NTNU

ESR12 - Marine Shao

Background: I completed last week the final course from the Ecole Centrale de Lyon (one of French top engineering school). Before my admission at the Ecole Centrale de Lyon, I did a two year training at a preparatory class for French engineering schools. My preparatory class was at the Lycée du Parc. Furthermore, I also did an internship at a laboratory from Keio University, Japan. I worked on two research projects within my school and I also did an apprenticeship during my last year of engineering school.

Aspirations within project:  Within the project, I would like to have the possibility to try my ideas. Nonetheless, I am very excited to have the possibility to work in a multidisciplinary team and I wish it will make me discover more aspects of the problem (not only the engineering point of view). I also expect to have the possibility to create prototypes and to realize something concrete. I hope I will be able to make some statistics (I really like mathematics) to make an optimization of the process.

Country of Origin: France                                                            Host Institution: UWE

ESR14 - Ali Payami

Background: Ali's academic background is rooted in surface engineering, albeit with a strong interdisciplinary orientation. He has two master's degrees in Tribology (2019) and Materials Science (2013), and a BSc in Materials Science (2011). As a former Erasmus Mundus scholar in TRIBOS program, he is continuing his research and study in another EU-funded multi-partner program, Marie Sklodowska-Curie Actions - ApPEARS according to EU Horizon 2020.

Aspirations within project:  His aspirations within ApPEARS are to broaden his skill set in optical science of surfaces prepared by novel techniques such as additive manufacturing technologies, photo-lithography and chemical synthesis.
The interaction of materials engineering and optical science is a novel approach of correlating parameters of optical properties with surface structuring. Investigation of appearance and optical properties of 3D printed components with complex geometries is the main goal of his project. Specifically, he hopes to address the following research objectives:
I. Prepare micro- and nano-structured surfaces by additive
manufacturing technologies, photo-lithography and chemical synthesis
II. Investigate the optical and functional properties of the surfaces
III. Establish a model explaining the correlation between basic
parameters of material texturing and surface properties
IV. Using the model to generate surface texturing with attractive
optical and functional properties

Country of Origin: Iran                                                           Host Institution: NTNU

ESR15 - Riccardo Tonello

Background: BSc in Aerospace Engineering in 2016 and MSc in Materials Engineering and Material Science in 2018 both at University of Padova, Italy. I carried out my master studies after a six period internship at EMPA (Swiss Federal Laboratories for Materials Science and Technology) where I worked at the Laboratory for High Performance Ceramics and on the thesis by following a paper “Fused deposition modelling of mullite structures from a preceramic polymer and <gamma> alumina”. Before diving into this fantastic adventure I was a Supply Chain consultant.

Aspirations within project:  I want to be an expert in 3D printing and my dream is to become an entrepreneur sooner or later in this field. The aim of the project is to create a continuous print method which outperforms the conventional layer-by-layer method by eliminating the discretization artefacts and I think this possibility can give me all I need and even more to reach my goals

Country of Origin: Italy                                                           Host Institution: DTU