2022 mustafa cem güneş portfolio
2018 - MATERIART IP1 Workshop (Attendee) Arts and Science of Materiality in Architectural Design Education Applicant of an Erasmus+ funded international design workshop orginized in TOBB ETU.
2021 - CAAD Futures 21 - Workshop (Instructor) Synthesizing Training Data Using Parametric Modeling Tools
2007EDUCATION -
A workshop is led by me and my teammates as a part of CAAD Futures 21 organization.
2019 - Fabrication Workshop (Attendee) Leaded by Efe Gözen & Burcu Biçer Saner This workshop focuses on creative usage toolpath design of Kuka Robotic Arm
2019 - 2020 Research Project: Analysis of Design Processes of Geo metric Pattern Based Muqarnas by Developing Computational Tools Team ResearchMemberproject is supported by TUBITAK and Kadir Has University. 2011 BESIKTAS - 2019 - 2014 ITU
ITU FACULTY OF ARCHITECTURE DEPARTMENT OF ARCHITECTURE B.ARCH 2012
FACULTY OF COMPUTER AND INFORMATICS ENGINEERING BACHELOR OF COMPUTER ENGINEERING (Transferred to Architecture in 2014) 2016 - 2017 ECOLE NATIONALE SUPERIEURE D’ARCHITECTURE DE MONTPELLIER |1 YEAR ERASMUS+ EXCHANGE 2019-2022 ITU GRADUATE SCHOOL OF SCIENCE ENGINEERING AND TECHNOLOGY | DEPARTMENT OF INFORMATICS| ARCHITECTURAL DESIGN COMPUTING PROGRAM | MSc Mustafa Cem Gunes mcemgunes@gmail.comContact+905070969093mcemg.design TurkishHobbies(Native) French (Intermediate) English (IELTS 7.0) Italian (Beginner) LanguagesExperience2017 - YALÇIN INŞAAT / ISTANBUL Summer Intern at construction site of an apartment for 2 months 2019 - TASARIM ATÖLYESI / ISTANBUL Summer Intern at Tasarim Atolyesi | 4 weeks interior design and architecture practice at Architectural Design Office 2021 - GENX / New York (Remote) Part time Computational Designer| Design computation and parametric construction/fabrication drawing preparation. 2022 - Private Company / Gunes Computational Design Lead Computational Designer| Design computation and parametric construction/fabrication drawing preparation. Generative system programming and consultancy. 2021 - MSTAS 21 - (Author) Space Organization Algorithm for Mobile Module Resistant to Extreme Condi Ationsresearch is presented in the conference and a paper have been published as a part of conference proceedings. 2021 - Kültür için Alan - Şlomo - Workshop - (Instructor) A project for documenting the making information and architectural culture. Participants are instructed about photogrammetric model creation process and preparation of their ornament models for CNC. 2022 - Symmetry Art and Science - Congress - (Author) Symmetry and Varience: Parametric shape grammar based brick pattern documentation for cultural heritage.
Research Project: Developing Computational Methods for Modeling Building Components Using Photogrammetry Data in Documenting Historical Buildings Team ResearchMemberproject is supported by TUBITAK and Istanbul Technical University.
2021 - CAAD Futures 21 - Conference (Author) Synthesizing Point Cloud Data Set for Historical Dome Systems A research is presented in the conference and a paper will have been published as a part of conference proceedings.
SAKIP SABANCI ANATOLIAN HIGH SCHOOL 2014
2020ACHIEVEMENTS-2022
ComputerSkills Vision Image Classification, Point Cloud Semantic Segmentation - Python Synthesizing Point Cloud Data Set for Semantic Segmentation Real-Time Semantic Segmentation Modelling Rhinoceros - NURBS modelling, Visual Programming (Intermediate-Advanced) Revit - BIM, Visual Programming AutoCad - 2D drawing Visual Programming Rhinoceros-Grasshopper (Intermediate-Advanced) Revit-Dynamo (Beginner-Intermediate) ShapeDriver / RhinoCompute Visual Editing Adobe Creative Cloud - Photosop, Illustator, Indesign, Premiere Programming C# - RhinoCommon / .Net (Intermediate) - Unity, AR, 2D Game Dev (Beginner) Python - Deep Learning, Computer Vision ( Tensorflow, PyTorch) - Grasshopper (Beginner) C++ - Computational Geometry - OpenGL Java - Processing, Console Dev Web Dev - HTML, CSS, Bootstrap, WP, JS (Beginner) Contain. - Docker, Signularity D.Base - MySQL, PostSQL Vers. C. - Git/Github Cloud - Slurm (HPC), Google Cloud Platform
What is in it? computer vision for arhitecture #architecturalHeritage#computerVision#deepLearning Classification of HistoricwithOrnamentsCNN structural design #timberDesign#natureBasedDesign#structuralAnalysis Evaluation of Reticulated Timber Shell Production Process on Resilience in Terms of Material and Structure e-sports arena #shellDesign Auditorium#parametricDesign#arenaEsportArena&Structre structural networks #mound#natureBasedDesign#structuralAnalysis#DLA#generativeSystems Generative Mound-like Structural Design projectconstruction #timberStructure #wood #constructionProject #BIM Cepken House: A timber moutain house designed in BIM environment timber re-constructionstructure #glulam#timberStructure#wood#details Analysis and Reconstruction of a Modern Timber Structure Case: Welney Visitor Center historical dome data set #pointcloud #dataSet #sythesis Historical#trainingDome Dataset; Synthesizing Dome Systems for Deep Learning Training; space generator #extremeConditions#plugInDeveloppement#spaceGenerator#c##oop SpaceKingPenguin:Generator for Living Units in Antartica 3D computer vision #pointCloud #culturalHeritage#semanticSegmentation#deepLearning Semantic Segmentation of Historic Dome Systems ConsideringRelationsPart-Whole
brick segmentation #brickSegmentation #pointCloudProcessing#culturalHeritage BrickPost-ProcessingPointClouds parametric shape grammer #brickWallPatternAnalysis Symmetry#parametricShapeGrammers#culturalHeritageandVariance parametric joint design #timberDesign #digitalFabrication#parametricDesign#joint SkatePark Digital Fabrication Automation (co-project fabrly) #culturalHeritage #caravansarai #unity #2d #seriousGame#gamedesign Caravansarai:Serious Game for Cultural heritage saving sultan han
space generation
“KingPenguin: Space Organization Algorithm” project is carried out under the course Digital Architecture Design Studio in ITU. In the scope of finding innovative solutions, Group 02 focused on designing mobile living modules that is a part of a central core. The group designs an algorithm that systematically generates plans for the living module regarding given dimensions and requirements.
MBL514E ITU Digital Architectural Design Studio Instructors: Prof. Dr. Mine Özkar Kabakçıoğlu Prof. Dr. Yüksel Demir Teaching Assistants: İnanç Şencan, Müge Halıcı, Burak Delikanlı, Cemal Koray Bingöl Group Members: Efay İzel Tan, Mustafa Cem Güneş, Nurcan Sütçü, Ozan Balcı, Pelin Gül Arman
While the half of the group was working on collecting data and determining the rules of algorithm such as required objects, dimensions, their relationships and organizations; the rest of the group, worked on coding the algorithm using two different software (Processing and Grasshopper) separately but supportively. All the steps also are scripted in C# assuming that this projects can turn into a plug-in easily. This project provides systematic information about what is required for building a mobile living unit in extreme conditions. Besides, alternative space organizations can be reached from the algorithm outcomes. Capacity, required space, plan shape, number of objects and their dimensions can be changed parametrically. 3D relation definitions makes our script more reliable and effective. This study is presented in MSTAS 2021. King Penguin space organization algorithm
Classification of Historic Ornaments with CNN keywords: Convolutional Neural Networks, Architectural Ornaments, Arhictectural Heritage computer vision
This paper is a critical assessment of an exploration of computer vision and deep learning methods in an architectural heritage context. Convolutional neural network, a type of deep learning is implemented to classify a group of Anatolian Seljuk ornamental patterns. The field of computer vision offers the potentials to assist studies in the field of architectural heritage. However, there are limited studies that combine knowledge across the two fields. One frequently studied topic is image classification based on features. In this study, we took on the task of classifying Anatolian Seljuk ornamental patterns to investigate the potential. The project focused on carved ornamental patterns on flat surfaces due to ease of data collection. The group of images is collected and arranged as two different yet related datasets. The classes are floral and geometrical, and subclasses are sparse and dense for both. Two different CNN architectures are used to train models for predictions. The process and effect of dataset creation on the implementation are explained. Results are discussed from both the technical and architectural points of view, providing a basis for further interdisciplinary studies
PUBLISHED IN: JCODE: JOURNAL OF COMPUTATIONAL DESIGN, 1(3), (link)115-130 Sevgi MustafaAltunCem Güneş
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This paper offers a workflow for generating synthetic point cloud data sets to be used in deep learning algorithms in tasks of modeling historical architectural elements. Documentation of cultural heritage is a time-consuming process that requires high precision. Computational and semi-automatic tools enhance conventional methods to shorten the duration of the documentation phase and increase the accuracy of the output. Photogrammetry and laser scanning are how geometrical data is acquired and delivered as a point cloud with position, color, and optionally normal vector information. Segmenting architectural elements based on our interpretations of this data is possible using deep neural networks but is limited when, despite the millions of points from one building, the data is insufficient in terms of variance and quantity. To overcome this limitation, we propose a semiautomatic synthetic data set generation using parametric definitions of historic architectural elements. We create a synthetic dataset, namely the Historical Dome Dataset (HDD), consisting of nearly 1000 dome systems with four semantic classes. We quantitatively and qualitatively analyze the usefulness of the HDD by training a number of modern neural networks on it. Our method of synthesizing point clouds can quickly be adapted into similar cultural heritage projects to prepare relevant data to accurately train deep neural networks and process the collected cultural heritage data.
data synthesizing
CAADFutures 2021 Conference Processings, Springer CAADFutures: Computer Aided Architectural Design Futures, (link), Mustafa Cem Güneş Alican Mertan Yusuf H. Şahin Gozde Unal Mine Özkar 16 17
Synthesizing Point Cloud Data Set for Historical Dome Systems keywords: cultural heritage, synthetic data set, point clouds, deep learning, training data
Considering RelationsPart-Whole keywords: pointCloud, semanticSegmentation, culturalHeritage, deepLearning
3D computer vision
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Semantic Segmentation of Historic Dome Systems
MSc. Thesis Research 2022 Supported by TÜBİTAK Research Project (119K896) (Work to be published) Thesis Advisor: Prof. Dr. Mine Özkar
In cultural heritage documentation semiautomating the documentation process, relying on semantic architectural knowledge using deep neural networks has the potential of providing accurate and meaningful results. This study examines the impacts of different semantic segmentation approaches considering the relations of the parts as a section of the documentation problem of the dome systems of the monumental Anatolian architecture. By using diverse methods in a documentation process, this study defines an interdisciplinary workflow that combines architectural and computational knowledge to segment the meaningful parts of the domes that can be used in further documentation steps. The study not only uses deep neural networks designed for three-dimensional semantic segmentation assignments but also inspects the usage of data in the deep learning models to get the best results in terms of identifying the labels of points that represent units of architectural elements.
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resilience
Evaluation of Reticulated Timber Shell Production Process on Resilience in Terms of Material and Structure keywords: timber structure, glulam, wood, resilience, structural analysis
structural design
This study aims to evaluate the reticulated wooden shell design and production process in the context of material and structure, within the framework of the concept of resilience. It is observed that living things in nature, while forming complex relationships and polycentricities, form systems that are resistant to environmental influences by passing through each other and dividing branches. Especially banyan and grapevine trees are specialized to be resistant and compatible against environmental influences thanks to their curved but reticulated propagation. Beyond the traditional uses of materials, it contributes to ecological and economic sustainability thanks to the use of their potentials at the highest level by referencing the examples in nature, increasing efficiency and continuity. At the same time, adopting technological developments to design and production processes significantly increases the strength of materials against structural loads. A wooden structure created within the scope of the project was detailed considering the fabrication stages. The design, whose original details are expressed and clarified as a result of structural analysis, has been prepared in a way that can be produced in digital fabrication tools. The characteristic properties of the wooden material are evaluated in a way to support its structural strength and design qualities. This project addresses the concept of architectural durability by evaluating the material, structure and production knowledge with the most advanced approaches and aims to contribute to existing studies with a holistic approach with steps from design to evaluation.
MBL511 ITU Knowledge Based Architectural Design Instructor: Prof. Dr. Gülen Çağdaş Teaching Assistants: Begüm Hamzaoğlu Burak Delikanlı structural design 22 23
structural generation
In our daily life even if it’s not recognized in a first sight there are great deal of well-designed transforming and self-structuring systems around us. These are the systems which have mysterious inner relations and self-creation capability. The working processes of these systems may be easily called under the term of autopoiesis because the natural essence of their manner. Especially living creatures are instinctively specialized in a way which let them use their habitat in most efficient way and last advantageous against other individuals which are sharing the same resources or fatal surroundings that possibly creates extreme conditions. The ants and termites are the one of the most influential symbols of this kind of creatures who is mastered in shaping their living spaces, most efficient and safe way continuously.
Mound Buildings and Coves of Ants and Termites as a Structural Element keywords: L-systems, termite mounds, stochastic network generation, structure generation, structural analysis Dr. Gülen
The habitations of ants and termites can be thought meticulously designed spaces and forms regarding to connecting each cell within, efficiently works with the exterior environmental factors such as heat, water, ventilations, stability of the structure, and efficient use of the material. On the other hand, this habitat is not only one perfectly working design solution it is actually a reflection of the selfshaping/self-creating generative system. This space and structure generation may be accepted as a part of L- Systems/Fractals and the relations of the each step might be modeled in mathematical and geometrical procedures. This work focuses on creating a structural model which fulfills aesthetic and functional requirements by referencing and to production methods of ants and their Pleaseparameters.checkthe link for further information.
Çaşdaş Teaching Assistants : Begüm Hamzaoğlu Burak Delikanlı 24 25
MBL 512 GenerativeITUSystems in Architectural Instructors:Design Prof.
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Cepken House a timber mountain house keywords: timber structure, glulam, sustainable design, construction project, BIM, Revit Köknel
timber_construction
Teaching Assistants: Aybike Kılıç 28 29
Timber materials are used for stuctural elements, studs of the walls, roofs, interior and extrior claddings for designing sustainable and resillient structure. All the details upto 1:20 scale are expressed and the joints are designed regarding the production, ease of construction and durability.
MIM431 ITU Digital Architectural Design Studio Instructors: Prof. Dr. Alpin
timber_construction
Cepken House project is a construction project for a sigle-family who live by the skirts of a snowy mountain Erciyes. The building with 2 floors is positioned and shaped considering environmental conditions such as angle of a sun, direction of the wind, and snow. The skeleton of the structe is designed as combination post-and-beam and conventional timber construction methods.
keywords: timber structure, glulam, sustainable design, construction project, wood
structural design
Offered project gets shape mainly on the idea of combining the E-sport Arena and producingexperiencing zones. My user profile is chosen as young people and the children especially. Also families with children will be a part of these users. People who come to watch the tournaments in the Arena they can also spend some time in simulation labs VR hubs or Just relax in cafe which are easily accessible from the arena complex. Also the spaces are designed as a whole complex which makes easier to travel between them. The projectgot shaped in BIM environment (Revit-Dynamo) and Rhinoceros Grasshopper. The Arena is is scripted with several parameters and the structure is designed parametrically in Rhinoceros Grasshopper.
All the analysis an reconstruction projects are held both in digital and physical environments. In order to exemplify the structural and architectural relations of the materials a small part of the building modeled including walls and a roof. The study investigates, analyses, and proposes solutions for post-and-beam Glulam timber structure with feather edge timber claddings regarding all the requirements .
In this project all of the structural and technical details of Welney Visitor Center are investigated. Some of the details are recreated considering stateof-the-art timber construction technics.
keywords: shellDesign, parametricDesign, arena, BIM
Instructor: Prof. Dr. Hülya Kuş Assoc. Dr. Gülfer Topçu Oraz Group Members: Fatma Beyza Eren, Mustafa Cem Güneş
Analysis & Reconstruction of a Modern Timber Structure Case: Welney Visitor Center
Computer Gaming & VR Hub: E-sport Arena Structure
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MIM492E BachelorITUProject VIII Leader Instructor: Prof. Dr. Leman Figen Gul
structural design
MIM397E ITU Wood in Architectural Design and Construction
structural SkateParkdesign DigitalAutomationFabrication
This project addresses parametric construction detailing automation problems in order to provide fast, accurate, and adaptive solutions for digital fabrication. Timber structural elements and curved surfaces that sporters us analyzed and all the joints are generated automatically in three dimensions. Additionally, modified elements are tagged, ordered, grouped then plotted on a plane to be able to create CNC files. Initial instructions are supported by the customer and some of the proposals and the methods of the customer are supported by the script created on RhinocerosGrasshopper and C# programming environments. The temporary park is constrcuted for a festival in Germany. timberDesign, parametricDesign, digitalFabrication
joint,
Professional Computational Design Co-Project (Fabrly)
keywords:
structural design 32 33
Symmetry: Art and Sciences - 12th SIS Symmetry Congress Research Project Output - TÜBİTAK (119K896)
Contributors : Mustafa Cem Gunes, Alican Mertan, Yusuf H. Sahin, Mine Özkar, Gozde Unal + Research Team Deep learning methods can be used for automating this process. Yet, segmentation tools may be limiting and error-prone in detecting individual architectural elements as each case may embody unique construction techniques, irregular applications, deformations, and wear. We propose a method for post-processing the segmented point cloud data in the semi-automatic detection of individual building elements in historical walls. In order to segment parts in a point cloud and reconstruct bricks as-is, we use visual programming tools to minimize the errors.
keywords: brickSegmentation, culturalHeritage, pointCloudProcessing
Contributors : Sevgi Altun, Mustafa Cem Gunes, Yusuf H. Sahin, Alican Mertan, Mine Özkar, Gozde Unal + Research Team We offer a methodology to model historical brick patterns simultaneously considering both the inherent symmetries and irregularities. Working in 2D in accordance with the exposed wall surface, we process the geometric organisation of bricklaying in Anatolian Seljuk heritage to represent its interrelated design and construction, and offer a generative model to be used for creating myriads of existing and possible designs of the style. We devise a parametric shape grammar, i.e. a rule-based definition of bricklaying relying on the symmetries of the units and of the pattern. Our reference data is photogrammetry-based point cloud models in which bricks of a historical wall are represented as unique rectangular shapes.
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Research Project Output TÜBİTAK (119K896)
point processingcloud
Symmetry and Variance
BriPost-Processingprocessingcloud ck Point Clouds
keywords: brickWallPatternAnalysis, culturalHeritage, pointCloudProcessing point
“Saving Sultan Han” game is a part of a larger scale cultural heritage research. The main focus of the researche was collecting information of each caravansarai in Anatolia in a database. Caravansarais are lodges which are distributed parallel to trade routes such as silk road all over Anatolia. These complexes are usually built in Seljuk or Anatolian Seljuk era. However, finding relevent documents and interpretation of the relations of the buildings was missing. To overcome this problem each student in the class contributed the collected data by doing a deep research considering the reliability of the sources. We orginized our data using SQL in GIS envirenment to keep data reachable and easily modifiable any time. After enough data is gathered we published a small web site which shows all of the caravansarais As the secon part of the research, each student changed the scale and investigated one spesific case. I worked on the ornaments of Sultan Han and gamified the documentation of the architectural ornaments over doors or arches. The game is described in a genre of puzzle. The user is expected to find the solution in a shortest time or the user can prefer a harder puzzle and earn more points. Time is the limitation and a main motivation of players to solve the problem. The game tries to make user think how the ornamentation and architectural elements are connected in caravansarai architecture, and make the player aware of these architecural cultural heritages using attention grabbing methods.
Saving Sultan Han keywords: culturalHeritage, seriousGame, caravanSarai, Database, GIS, webDesign
MBL617E ITU Special Topics in Architecture Instructors: Assoc. Prof Güzden Varınlıoğlu Dr. Özgün Balaban 36 37
Serious Game
youthank