portfolio 301

Jayedi Aman

URBAN STUDIES & ARCHITECTURE

PORTFOLIO

Jayedi Aman

URBAN STUDIES & ARCHITECTURE

PORTFOLIO

OPTIMIZING

Container Housing Units for Informal Settlements

TEAM:

COMPUTATIONS:

CONTRIBUTION

Jayedi Aman Nusrat Tabassum James Hopfenblatt Jong Bum Kim Md Obidul Haque

ArcGIS Pro, Rhino-Grasshopper, Ladybug tools-Octopus, Unity, C#

50% Conceptualization, 100% Optimization algorithm scripting, 70% Methodology development, 50% Paper writeup

PUBLICATION

BRIEF

Aman, J., Tabassum, N., Hopfenblatt, J., Kim, J. B., & Haque, M. O. (2021).

Optimizing Container Housing Units for Informal Settlements- A parametric simulation & visualization workflow for architectural resilience. 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Haque, M. O., Tabassum, N., Aman, J., & Rahman, N. N. (2020). Iterative Simulation Modeling Framework of Container Housing System for Architectural Resilience in the Coastal Areas. Proceedings of Parallelism in Architecture, Engineering & Computing Techniques - Third Edition. The paper will also be published as a book chapter in ‘Advances in Science, Technology and Innovation (ASTI)’ by Springer publications.

Haque, O., Aman, J., & Mohammad, F. (2021). Construction Sustainability of Container Housing System in Coastal Regions Towards Resilient Smart Community. Built Environment Project and Asset Management. Emerald Publications (Manuscript ID BEPAM-01-2021-0011, Accepted, 2nd review in-process).

In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study

aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The project proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique.

Figures and Tables: comprehensive analysis as a basis for design

Exploded view

Hand-drawn illustrations

PROCESS OVERVIEW

Process

Workflor framework

First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity.

Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of

generating feedback.

This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholder’s understanding of CHS and its impact on the environment.

It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.

Results of Generative design experiment

ENVISIONING an Unbuilt Environment

TEAM:

COMPUTATIONS:

CONTRIBUTION

Dr Jong Bum Kim Jayedi Aman Dr Bimal Balakrishnan

Revit, Revit API- C#, Rhino-Grasshopper, Rhino-Inside-Ladybug tools-Colibri, Unity

80% prototype development, 25% Methodology development, 50% Paper writeup

PUBLICATION

BRIEF

Kim, J. B., Aman, J., & Balakrishnan, B. (2021). Forecasting performance of Smart Growth development with parametric BIM-based microclimate simulations. 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Since New York adopted zoning in 1916, regulations and codes have inarguably formed our built environment in the United States [1]. Municipalities and planners have continued controlling community design with ordinances, master plans, and/or design standards. In decades, numerous planning instruments debuted and vanished, but their success and failure were not obscure as the initial vision and goals ensure.

Their impact is often unforeseen in the early planning stage. The point of departure of this research is how to relieve this uncertainty

Kim, J. B., Balakrishnan, B., & Aman, J. (2020). Environmental Performance-based Community Development— A parametric simulation framework for Smart Growth development in the United States. Proceedings of the 25th CAADRIA Conference, 1, 873-882.

Digital Twin

in the community development by using immerging technologies. The research investigates and creates an urban modeling method to visualize and analyze future community development.

The research advances digital technology by using parametric Building Information Modeling (BIM), performance simulations, and Virtual Reality (VR). As a pilot test, the research will examine the Columbia, Missouri downtown district governed by the Downtown Columbia Unified Plan adopted in spring, 2017.

Real World

Figures and Tables

PROCESS OVERVIEW

PROCESS OVERVIEW

Figures

The major goals of this research are to envision the future built environment from the early planning stage and understand the impact of proposed community plans and

regulations on the built environment.

The research aims to analyze and visualize the impact of Smart Growth regulations.

The research will achieve the following objectives by the end of the funding period: • Benchmark state-of-theart technologies and research in the area of urban modeling, simulation, and visualization for community development.

• Create a parametric BIM-VR integration method that

can visualize future community development governed by the Downtown Columbia United Plan • Analyze economic and environmental footprints of the Downtown Columbia Unified Plan, including the potential development scale, economic projections, and energy performances.

Figures and Tables

Total cost In BDT Total cost In USD

Load calcula�on for drum numbers

PRIMARY STRUCTURE

SECONDARY STRUCTURE

FORM SEGMENTATION

KHUPRI

SUSTAINBLE FLOOD-SAFE HOME

CONCEPTUAL WIND FLOW DIAGRAM

TEAM:

ACHIEVEMENTS

Jayedi Aman Sheikh Rishad Ahmmad Salma Begum

Shortlisted in PRIMARY STRUCTURE Building 4Humanity Design Competition (Category 2) BASE STRUCTURE

Total Load per square feet: 400 lbs/sqm + 380 lbs/sqm = 780 lbs/sqm Total Load for the proposed flood home: 780 lbs x 30 sqm = 23400 lbs A single (500mm dia X 500mm length-400 tk) 55 gallon plas�c drum can take the load of 441 lbs.Therefore, Total Plas�c Drum needed for the construc�on: 23400 lbs/ 441 lbs = 53 nos. For safety measuring, Total plas�c Drum used for this project: 56 nos.

DRUM STRUCTURE DETAILS

SECTION THROUGH COURTYARD

CONTRIBUTION

FLOOR

RESILIENT BUILDING/SETTLEMENT PROJECT FOR A FLOOD-PRONE AREA IN BANGLADESH

SUSTAINBLE FLOOD-SAFE HOME 33.33% Conceptualization, 100% BRACING SECONDARY scripting, STRUCTURE 50% Meth- DRUM STRUCTURE DETAILS parametric odology development 10

05

03

PRIMARY STRUCTURES

RESILIENT BUILDING/SETTLEMENT PROJECT FOR A FLOOD-PRONE AREA IN BANGLADESH 02

04

06

SUSTAINBLE FLOOD-SAFE HOME BRACING FOR FACADE

ROOF

2,72,311BDT 3,250 USD

FOR FACADE

Salma Begum Jayedi Aman, Sheikh Rishad Ahmmad Hatibanda, Bangladesh

ROOF

B4H-DC2134

FACADE

07

01

11

MAIN LEVEL PLAN

FACADE

selected for the exhibition at 8th

RESILIENT BUILDING/SETTLEMENT PROJECT ICBR, PortugalFOR A FLOOD-PRONE AREA IN BANGLADESH

SUSTAINBLE FLOOD-SAFE HOME 08

RAINWATER DIAGRAM

BRIEF

an arc which turns into a vault after extrusion. This vault creates space FORM SEGMENTATION under one roof and very much resistive to high wind thrust. Also RESILIENT BUILDING/SETTLEMENT PROJECT FOR the structural system has been derived from the structural design of an umbrella festooned with truss PRIMARY STRUCTURE . So, the mechanism of designed unit works like a floating raft which PRIMARY STRUCTURE is easily floatable and also the vault kind of element allow a one single space with multiple level being resistance to high wind pressure.

01 03 08

WET SEASON

LIQUID LANDSCAPE_AN ALTERNATIVE DESIGN STRATEGY FOR FLOOD AFFECTED PEOPLE

ENTRANCE SPACE/ ECONOMIC ACTIVITY SPACE 02 WORKSPACE/ MULTIPURPOSE SPACE COURTYARD 04 GARDEN 05 KITCHEN 06 TOILET 07 WASH AREA SLEEPING AREA 09 ATTIC 10 WATER HARVESTING TANK 11 EXTENDED PLATFORM

KHUPRI:SOLO SPACE FOR MULTI-FUNCTIONALITY South Eleva�on

PRIMARY STRUCTURE

East Eleva�on

SECONDARY STRUCTURE

SouthWest East Asia Region Eleva�on

Among all natural disasters, flood hazards are the most common and destruc�ve. For decades, examina�on and experiments have been

SUSTAINBLE FLOOD-SAFE HOME FORM SEGMENTATION BASE STRUCTURE

DRUM STRUCTURE DETAILS

SOLAR OANNEL

ADJUSTABLE ROOF

Site

Ha�banda upazila, is one of the remotest and catastrophe prone northwestern upazila under Rangpur District of Bangladesh. Geographically, one of the dis�nc�ve features of the district is that this is situated near the river the Teesta on one side and on the other side it has Kharpa river , bordered by India. The most common character is flooding during the monsoon. Every year this area is flooded heavily. Lat year sixty four villages in Ha�banda upazila near the Tista River of northern part has been streamed with abnormal flooding, having most of the houses washed away (Figure 02 & 03).

FORM SEGMENTATION

CORROGATED SHEET

ROOFING MATERIAL

SUSTAINABLE FEATURE HOLLOW BAMBOO

CONCEPTUAL WIND FLOW DIAGRAM

SECTION THROUGH COURTYARD BAMBOO

PERFORATED SCREEN

ROOFING FRAME TRELLIS

SECONDARY STRUCTURE

DRUM STRUCTURE DETAILS

BAMBOO MAT

COURTYARD

SURFACE PANEL

PLANTATION IN BOTTLE ACT AS THERMAL INSULATION

VERTICAL GARDENING

Figure 02: Loca�on of Ha�bandha Upazila near the bank of Tista River, Bangladesh (Source: Google map).

FERROCEMENT CONCRETE

SECONDARY STRUCTURE

DRUM STRUCTURE DETAILS

BAMBOO MAT

GROUND FLOOR & MID LEVEL SLAB

RAINWATER DIAGRAM

PANELS ARE MOVEABLE AND CAN BE REPLACED BY ANY MATERIAL LOCALLY AVAILABLE, IT CAN ALSO BE MADE INDUSTRIALLY

BY USING RECYCLED MATERISL

03

Figure 03: Situa�on of the rural people of Ha�bandha 2014,2016 and 2017 chronologically , as well as of the other villages during flood (source: RDRS, 2018).

CONCEPTUAL WIND FLOW DIAGRAM PRIMARY STRUCTURES FLOOR

Section

CONCEPTUAL WIND FLOW DIAGRAM

SECTION THROUGH 02 SECTION THROUGH COURTYARD PRIMARY STRUCTURES Project Aim

ADJUSTABLE OPENING

10

RAINWATER FLOW RE-CYCLED WATER DRUM, LIGHT WEIGHT, DISASTER-RESISTANT AND EASY TO FLOAT.

BASE STRUCTURE

FORM SEGMENTATION

05

FLOOR

Sleeping area in mezzanine Living /dining/ Mul�purpose working area to generate income during the hazard period Courtyard Toilet Kitchen Wash area A�c for storing goods and emergency shelter in mezzanine Garden Extended verandah Total size of single family home

CONCEPTUAL WIND FLOW DIAGRAM

02

Features Sustainable Materials Founda�on Plas�c Drum+ Recycled Tyre Structure Bamboo (Chemical mixed Flooring Ferro-cement concrete with sheet Roofing PVC corrugated sheet Par��on Bamboo mat (chemical mixed) Base Mech.

R.C.C. pillar Miscellaneous Door,window, ladder, screw,etc.

Sub-total In BDT Sub-total In USD Addi�onal Cost Labor (Outsider) Solar Panel 150 wa� with wiring

Load calcula�on

Total Dead Load:

Dead Load of Dwelling: 300 lbs/sqm Dead Load of Founda�on: 100 lbs/sqm 400 lbs/sqm

Total Live Load:

Total (dead+live)Load:

780 lbs/sqm

Addi�onal-total Total cost In BDT Total cost In USD

BRACING FOR FACADE BASE STRUCTURE

BASE STRUCTURE Another important notion was kept in mind while designing is served and service space. `KHUPRI’ is a Bengali word, meaning a small place available for multi uses. Generally, in Bangladesh, Low income people use to live together in a very small place, BRACING FOR FACADE having low privacy between the BRACING FOR FACADE dwellers. They are very comfortable to BRACING work at home together FOR FACADE RAINWATER DIAGRAMfor earning money, keep domestic animals and

ROOF FLOOR

FLOOR PRIMARY STRUCTURES produce vegetables at roof level.

Considering the living nature of the local people and the cost and space restraint, we considered a single space in the building which can be partitioned or folded time to time regarding the using demand.

ROOF

03 02 03

04

01

06

South Eleva�on

06

07

East Eleva�on

RAINWATER FLOW 07 01

01

11

08

07

11

08

MAIN LEVEL PLAN

03

11

10,000

11

88,770 2,72,311BDT 3,250 USD

MAIN LEVEL PLAN

North Eleva�on

03

West Eleva�on

09

MEZZANINE LEVEL PLAN

09

MAIN LEVEL PLAN

FACADE RAINWATER FLOW

Plans

WET SEASON

52,500 23,000

11

MAIN LEVEL PLAN WET SEASON

DRY SEASON

FACADE

54.4

04

06

02

RAINWATER DIAGRAM

1pc

04 05

10

05

FACADE

ROOF

ROOF

02

PRIMARY STRUCTURES

10

05

03

42.5 25.0

07 4 nos

Total in BDT/USD 22,200 37,580 34,320 27,625 30,000 21,816 10,000 1,83,541 2190

MAIN LEVEL PLAN

10

FACADE PRIMARY STRUCTURES

FLOOR

Total Load per square feet: 400 lbs/sqm + 380 lbs/sqm = 780 lbs/sqm Total Load for the proposed flood home: 780 lbs x 30 sqm = 23400 lbs A single (500mm dia X 500mm length-400 tk) 55 gallon plas�c drum can take the load of 441 lbs.Therefore, Total Plas�c Drum needed for the construc�on: 23400 lbs/ 441 lbs = 53 nos. For safety measuring, Total plas�c Drum used for this project: 56 nos.

FACADE

Total Sqm 39

200 06 42.9

DRY SEASON

ROOF

Section

BDT/Sqm 560 187.9 800 650 1200 54540

01

Rain Water Har.

Load calcula�on for drum numbers

BRACING FOR FACADE

04

Specifica�on and tenta�ve cost es�ma�on for one unit

07

10

05

04

06

Live Load on Ground Floor: 150 lbs/sqm Live Load on First Floor: 100 lbs/sqm Live load on Roof: 30 lbs/sqm Live load on Open Space: 100 lbs/sqm 380 lbs/sqm

R.C.C PILLAR

COURTYARD Exploded diagram 03

6.96 sqm 12.01 sqm 3.34 sqm 0.89 sqm 1.5 sqm 0.89 sqm 3.84 sqm 4.64 sqm 16.58 aqm 50.65 sqm

SECTION THROUGH COURTYARD01

FOUNDATION

VEGETATION

The goal of the project is to design and build a prototype model of ‘Sustainable Flood-Safe Home’. This home will accommodate a family of 7, as the rural parts of Bangladesh hold an average of 7 members per family. The home will be built in a way to ensure it as resistant against future flooding and high winds.

Descrip�on

BASE STRUCTURE Concept Development

Hatibanda

SUSTAINABLE FEATURE ALLOWS WARM AIR TO GO OUTSIDE

CONVERTIBLE PARTITION

FORM SEGMENTATION

Concept Development

Bangladesh

SECTION THROUGH COURTYARD

and in this period, water level rises in the various rivers in the northern part of the country due to heavy rainfall and the flow of water from the upstream hills in India. The Tista, Brahmaputra and Jamuna rivers burst their banks and many villages of northern por�on go under water, many low income rural people become homeless and thousands of hectares of crop damages. Therefore, self-sustained buildings and se�lements during flood hazards become essen�al for communi�es’ resilience. The recent flooding over a few months in 2017 throughout Bangladesh has taken a devasta�ng toll on the rural parts of the na�on, having wiped out and destroyed approximately 500,000 to 600,000 homes, leaving millions homeless and subjected to temporary homes. These homes were mostly made from wood and �n, leaving them very weak and suscep�ble to heavy winds, rain, and flooding. Rebuilt homes will likely con�nue to be poorly built. Ha�rbandha is an upazila under division of Rangpur that has faced serious flooding problems lately and need urgent a�en�on. Therefore, Ha�banda area was chosen as the mainstream to design the prototype self-sustained flood safe home focusing the low income people to survive during flood hazards, which can be applied to the other parts of Bangladesh as well as in other tropical countries.

A FLOOD-PRONE AREA IN BANGLADESH SECONDARY STRUCTURE

North Eleva�on

Problem Statement

prac�cing to manage and mi�gate the risk of flood loss. Bangladesh is one of those countries that faces frequent and abnormal flooding problem DRUM STRUCTURE DETAILS every year, which causes serious damage to lives and property. June to October of the year is considered as the monsoon period in Bangladesh

CONCEPTUAL WIND FLOW DIAGRAM

PRIMARY STRUCTURE

TheSection of an umbrella represents

RESILIENT BUILDING/SETTLEMENT PROJECT FOR A FLOOD-PRONE AREA IN BANGLADESH

09

MEZZANINE LEVEL PLAN

DRY SEASON

The design concept formulation is inspired from the local umbrella that protects from rain, gives a shade under one single entity and the base has been designed being inspired from the local raft “Vella” (made out of banana tree) that easily floats on water. The idea is to combine the both.The approach of this project is a response to the local context and climate. Taking umbrella as a basic element the design has been accentuated by a canopy like structure.

03

RAINWATER FLOW

01 03 08

ENTRANCE SPACE/ ECONOMIC ACTIVITY SPACE 02 WORKSPACE/ MULTIPURPOSE SPACE COURTYARD 04 GARDEN 05 KITCHEN 06 TOILET 07 WASH AREA SLEEPING AREA 09 ATTIC 10 WATER HARVESTING TANK 11 EXTENDED PLATFORM

DEEP (FAKE) URBAN FABRIC

TEAM:

ACHIEVEMENTS

COMPUTATIONS

Jayedi Aman Dongyun Kim Torralba Ernesto

ACADIA Workshop Attendance Grant for International Students, sponsored by Autodesk

33.33% Conceptualization, 50% deep learning model scripting, 33.33% Methodology development

Daniel Bolojan Dr Shermeen Yousif Emmanouil Vermisso

StyleGAN, CycleGAN, Tensorflow, Pytorch for constructing DL networks, ArcGIS Pro, Rhino-Grasshopper, Ladybug tools-Octopus, Unity, C#

CONTRIBUTION

INSTRUCTORS

BRIEF

In this project, we presented a proofof-concept for creating a deep [FAKE] urban fabric inspired by Milan and driven by mountains/valleys. The study looked at how different neural networks (such as CycleGAN and StyleGAN) may be linked to identify the search space for architectural inspiration.

Specific semantic references were used as input for a pre-trained network, which outputs data for further analysis using another neural network.

Through interpolative and extrapolative techniques, the datasets explored alternative resolutions of the urban environment and assessed potential for emergent

patterns, etc. From a methodological standpoint, we were interested in determining the relationship between different types of neural networks and their capacity to tap creative potential in a focused and/ or heuristic/open-ended manner.

Experimentation with several linked deep learning models was used to prototype novel design procedures.

The testing and assessment of experimental workflows was undertaken through the prism of process-creativity rather than product-creativity.

Project Development

SENSING STREETSCAPE

TEAM:

PAPER

COMPUTATIONS

Jayedi Aman Mayur Mistry

Investigating the correlation between urban attributes and pedestrian behavior

CONTRIBUTION

Aman, J., Matisziw, T. C., Kim, J. B., & Dan, L. Sensing Urban Streetscape: Capturing the perception on Urban Street Segments from Geotagged Social Media Data and Street View Imagery. CAADRIA 2022, Australia.

[Abstract submitted]

QGIS, Mapbox, Python, Rhinoceros-Grasshopper, PSPNet-YOLO deep learning models

OF URBAN FABRIC

50% Conceptualization, 50% Python scripting, 80% Methodology development

INSTRUCTORS

Daniel Bolojan Dr Shermeen Yousif Emmanouil Vermisso

BRIEF

Smart cities have embraced the integration of big data and artificial intelligence to assess how we traverse and perceive urban streetscapes. Many studies articulated that advanced data analytic techniques have potential to enhance the understanding about the interaction between individuals and the streetscape in a complex urban context. However, research on environment sensing still needs to pay an attention to bind, blend, and integrate the dynamic human behavior and the urban physical environment information.

In this context, the research investigated a novel approach to predict preferred streetscape characteristics utilizing deep learning and geospatial techniques. This research addressed two major questions: to what extent does individual preference of streetscapes manifest in an urban setting, and to what extent are these preferences

are impacted by characteristics of the urban physical environment?

We employed geotagged social media data and street view imagery.

Furthermore, we applied two subsets of deep learning techniques: Natural Language Processing (NLP) and computer vision (CV).

Infrastructure and transportation system development have long shaped our perceptions of time, space, and urban life.

The recent emergence of technologies such as self-driving cars, big data, digital infrastructures, and urban sensor networks are constantly challenging our understanding of urban space by blurring the boundaries between the digital and physical worlds, shaping a different perception of urban streetscape for the pressing future.

Spatial analysis

Visual representation of the analysis

Various techniques of data analysis

Spatial analysis

ARL

TEAM:

PAPER

COMPUTATIONS

for Architectural Modeling Using Aerial Imagery

James Hopfenblatt Jayedi Aman Rina Bao Shizeng Yao

Yao, S., Hopfenblatt, J., Fraser, J., Bao, R., Aman, J., Balakrishnan, B., & Palaniappan, K. (2021). LiDAR Point Cloud Density Infilling for Evaluating 3D Building Reconstruction Algorithms. SPIE. Defense + Commercial Sensing.

[Manuscript under Review]

ArcGIS Pro, Python, Rhinoceros-Grasshopper, CloudCompare, Computer vision techniques

Developing Urban Shape Grammars

CONTRIBUTION 25% Conceptualization, 100% Python scripting in Grasshopper and ArcGIS interfaces, 25% Methodology development, 50% parametric scripting

Workflow framework

INSTRUCTORS Dr Kannappan Palaniappan Dr Bimal Balakrishnan Footprint acquisition and Identifying roof types

Real Data generation

Synthetic data generation

Real and synthetic data for training and validation

BRIEF

Our interdisciplinary approach for 3D reconstruction integrates well-established techniques from computer graphics with shape grammar techniques borrowed from architecture but extended for 3-dimensional form. We took an iterative process exchanging information and workflow processes between the Immersive Visualization and CIVA lab team to improve the automatic 3D reconstruction process.

To improve automatic 3D reconstructions of urban environments, we focused on four primary goals.

1.Integrating available foundational geospatial datasets and improving CAD workflows 2.Identifying and defining essential architectural grammars applicable to city-wide urban reconstruction, with roof typologies and grammar as an implementation example 3.Using the shape grammar approach to creating synthetic 3d models of

urban environments to help train deep learning models and improve the algorithm for extracting specific parameters related to the urban architectural grammar.

Texture mapped buildings

Parametric CAD model

4.Develop a fully parametric urban 3D model generator in a visual programming environment.

Main steps taken Parametric script (Rhino + Grasshopper)

Masterplan

Detailed overview of the project Input

Shape Grammar Processing

Output

COU28-B2

LiDAR point cloud segmentation COU28-B3

COU30-B15

LiDAR point cloud elevation

Building footprints

Modeling parametric elevations Data Acquisition

Building Segmentation

Building Footprint Acquisition

Elevation Creation

LiDAR Infilling

Step 1

Step 2

Step 3

Step 4

Step 5

2015 LiDAR Dataset Up: Boone County Down: Columbia City LiDAR Quality Level: Lv. 2 LiDAR Density: 4 pts/m2

20 Buildings from COU manually selected using CloudCompare

Building footprints obtained from OSM (Perfectly aligned with 2015 LiDAR dataset)

Created based on OSM elevation information using Rhino (side walls and flat roofs only)

3D points created using CloudCompare Point Density: 4 pts/m2

3D LiDAR infilling

parametric regeneration of real world buildings

Real Data

Result Aerial Image of Buildings

Raw Lidar Point Clouds Parent Profile Child Profile

Modeling parametric roofs

Synthetic Data

visual representation of the steps

Synthetic CAD models of real buildings

Generated Point Clouds from Synthetic Building CAD (GT)

UI_UX

TEAM:

PAPER

COMPUTATIONS

development of Artificial simulator testbeds

James Hopfenblatt Jayedi Aman Rina Bao Shizeng Yao

Yao, S., Hopfenblatt, J., Fraser, J., Bao, R., Aman, J., Balakrishnan, B., & Palaniappan, K. (2021). LiDAR Point Cloud Density Infilling for Evaluating 3D Building Reconstruction Algorithms. SPIE. Defense + Commercial Sensing.

[Manuscript under Review]

ArcGIS Pro, Python, Rhinoceros-Grasshopper, CloudCompare, Computer vision techniques

TASK 4

CONTRIBUTION 25% Conceptualization, 100% Python scripting in Grasshopper and ArcGIS interfaces, 25% Methodology development, 50% parametric scripting

INSTRUCTORS Dr Kannappan Palaniappan Dr Bimal Balakrishnan Team & process

BRIEF

Development Artificial simulator testbeds that can realistically represent crash causation factors would enable safety researchers to evaluate new countermeasures.

A simulator study may be necessary when evaluating a countermeasure that has not been implemented before or when sufficient after installation data does not exist.

We propose to use naturalistic driving study data for crash events to develop, calibrate, and validate driving simulator testbeds that accurately replicate crash causation factors.

In task 4, SHRP 2 NDS data will be used to generate realistic driving simulator testbeds for conducting human factor studies. Traffic crashes, especially at interchanges, are complex and highly dynamic, often involving multiple causal factors. Crash reconstructions offer

At a minimum, we will generate three representative testbeds of crashes that occur within an interchange footprint – one for daytime, one for night time, and one angle crash involving a left turning vehicle onto the freeway. Using a combination of match moving data extracted from the crash videos and other pertinent data from the SHRP 2 dataset, we will create interactive, 3D visualizations of NDS crashes. In developing these visualizations, we will take every reasonable measure to ensure the accuracy of the visualizations including benchmarking against the crash videos and relying on the time series trip data. These 3D visualizations will be similar to National Transportation Safety Board (NTSB) crash animations but with the added ability to interactively explore them from multiple perspectives using different display technologies

an opportunity to understand the factors involved and the sequence of precipitating events.

The SHRP 2 data set provides an opportunity to generate an artificial but realistic testbed using accurate 3D modeling of interchange crashes.

While the SHRP 2 dataset has videos from the vehicle involved in the crash, 3D visualization offers several advantages. First, they maintain privacy by removing personally identifiable information such vehicle model, unique location identifiers, etc. Second, 3D visualizations help to highlight certain visual parameters or perspectives by drawing a viewer’s attention to aspects that are the most important as compared to crash videos. Third, a 3D simulator testbed offers the opportunity to test human reaction to a variety of countermeasures, including safely testing connected and autonomous vehicle technologies.

Output

including virtual reality. The UMC team will lead task 4. The PIs have generated representative crashes for work zones using SHRP2 data as part of their previous FHWA BAA project.

MSU and TTU partners will review the developed simulation testbeds and provide feedback.

Anticipated deliverables: 1) Case studies and simulation test beds for interchange conditions, 2) A document explaining the procedures used to generate the test beds.

HERRITAGE OF CULTURE

Teaching portfolio project 1

LOCATION

TOPIC

INSTRUCTORS

Ahsanullah University of Science and Technology, Dhaka, Bangladesh (2015)

Herritage of culture: A complex at Ramna Botomul, Ramna, Dhaka

Jayedi Aman

PROJECT TYPE Urban studies BRIEF

The project’s goal was to create a village in the Ramna botomul environment where people may experience Bangladeshi culture.

Ramna Park is a large park and recreational area in the center of Dhaka, Bangladesh’s capital city. This park is one of Dhaka’s most attractive locations, with many trees and a lake in its center.

Ramna botomul is called after a Banyan tree, which is recognized for important historical elements and the foundation of civilization, namely pohela boishakh. Pohela boishakh is the most important day for Bengalis in Bangladesh and India’s West Bengal, Assam, and Tripura. Because the first

day of the Bangla calendar is Pohela boishakh. Bengalis eagerly await the celebration of Pohela Boishakh throughout the year. As a result, the notion arose from the country’s rural environment. In Bangladesh, villages typically grow around a river for easy access to markets. As a result, a cottage appears along the river, surrounded by trees, where people of various ages converse and roam.

The proposed project has the same goal in mind: to help individuals discover their own culture and ancestry.

Situatin axonometric view

Ground floor

Elevations

3d View

Elevation

LANDPORT TERMINAL

Teaching portfolio project 2

LOCATION

TOPIC

INSTRUCTORS

Ahsanullah University of Science and Technology, Dhaka, Bangladesh (2017)

Institute of bangladesh udichi shilpigosthi, dhaka, bangladesh

Jayedi Aman

PROJECT TYPE

STUDENT

Land port Terminal Building

Nazia Tasneem Nisa

This is a steel frame structure consisting of RCC slab, beam and column. The roof is supported by space frames which is connected with steel columns and steel columns are anchored with RCC columns.

Steel beams are con-nected to the steel columns with bolts threaded fasteners. Pre-stressed floor slabs and beams are used to reduce the thickness and carry the necessary loads.

BRIEF

The objectives for of this project are full-fledged land port facilities for smooth export import cargo Land Custom Station.

development to, establish with require operation of through the

Enhance facilities for handling of export and import cargo.

Establishing proper check post for scanning product which may harmful for our country.

Encourage increase trade volume with increase in facilities and thereby increase the revenue earning for the government.

Enhance the passenger/tourist transit facilities, which will facilitate passenger move-ment between the neighbouring countries.

ARRIVAL ( INDIA TO BANGLADESH) ADMINISTRATION DEPARTURE ( BANGLADESH TO INDIA) DIRECT ROAD (ARRIVAL, DEPARTURE) CARGO (BANGLADESH TO INDIA) CARGO ( INDIA TO BANGLADESH ) ( INDIA TO INDIA )

Physical model

The objectives for development of this project are to, establish full-fledged land port with require facilities for smooth operation of export import cargo through the Land Custom Station. Enhance facilities for handling of export and import cargo. Enhance the passenger/tourist transit facilities, which will facilitate passenger movement between the neighbouring countries. Establishing proper check post for scanning product which may harmful for our country. Encourage increase trade volume with increase in facilities and thereby increase the revenue earning for the government.

Site plan drawing ARRIVAL ( INDIA TO BANGLADESH) ADMINISTRATION DEPARTURE ( BANGLADESH TO INDIA) DIRECT ROAD (ARRIVAL, DEPARTURE) CARGO (BANGLADESH TO INDIA) CARGO ( INDIA TO BANGLADESH ) ( INDIA TO INDIA )

GROUND FLOOR PLAN

Physical model

Digital visual materials

The objectives for development of this project are to, establish full-fledged land port with require facilities for smooth operation of export import cargo through the Land Custom Station. Enhance facilities for handling of export and import cargo. Enhance the passenger/tourist transit facilities, which will facilitate passenger movement between the neighbouring countries. Establishing proper check post for scanning product which may harmful for our country. Encourage increase trade volume with increase in facilities and thereby increase the revenue earning for the government.

CHUNATI RESORT

LOCATION

TEAM

COMPANY

Cox’s Bazar

Jayedi Aman Amina Binte Aziz Maruf Ahmed Sheikh Rishad Ahmmad

PoriLekh, Dhaka, Bangladesh

PROJECT TYPE

Professional work

Resort

BRIEF

The objectives for of this project are full-fledged land port facilities for smooth export import cargo Land Custom Station.

development to, establish with require operation of through the

Encourage increase trade volume with increase in facilities and thereby increase the revenue earning for the government.

Enhance facilities for handling of export and import cargo.

Enhance the passenger/tourist transit facilities, which will facilitate passenger move-ment between the neighbouring countries.

Exterior visualizations

Establishing proper check post for scanning product which may harmful for our country.

Exterior visualizations

BANGLADESH ARMY SENA KUNJA LAKE-FRONT DEVELOPMENT Professional work

LOCATION & DATE

TEAM

COMPANY

Dhaka, Bangladesh, 2017

Jayedi Aman Amina Binte Aziz Maruf Ahmed Sheikh Rishad Ahmmad Ahmed Hasib Bulbul

PoriLekh, Dhaka, Bangladesh

PROJECT TYPE Lake front landscape (Unbuilt proposal)

BRIEF

The objectives for of this project are full-fledged land port facilities for smooth export import cargo Land Custom Station.

development to, establish with require operation of through the

Enhance facilities for handling of export and import cargo.

scanning product which may harmful for our country.

Encourage increase trade volume with increase in facilities and thereby increase the revenue earning for the government.

Enhance the passenger/tourist transit facilities, which will facilitate passenger move-ment between the neighbouring countries.

Establishing proper check post for

Perspective view

Perspective views

Bird eye views

URBAN-SCALE ENERGY USE PREDICTION MAPPING

Parametric GIS-ANN Modeling to Estimate Urban-Scale Energy Use

CONTRIBUTION

TEAM

POSTER PRESENTATION

80% Conceptualization, 100% Optimization algorithm scripting, 80% Methodology development

Jayedi Aman Dr Clayton Blodgett

Aman, J., & Blodgett, C. (2020, December 10). Predictions for Sustainability in Refugee camp: An integration of GIS and Artificial Neural Networks Framework. Geography Information Science Exhibition, University of Missouri Columbia, Missouri, United States.

COMPUTATION ArcGIS Pro, Rhino-Grasshopper, Ladybug tools, Python for Deep learning (DL) framework

BRIEF

Since August 2017, more than 0.7 million stateless Rohingya refugees — an ethnic Muslim minority population from Rakhine State – have entered Bangladesh to flee the Myanmar Army’s atrocities against humanity. To accommodate them, significant deforestation and hill cutting activities were carried out in Bangladesh’s Cox’s Bazar District (CBD). The main issue in CBD was that the bulk of the displaced people were living in cramped unplanned shelters creating unhealthy built environment (ISCG, 2019).

Sustainable measures analysis is therefore needed to lessen the environmental impact on these Refugee shelters (Gassar & Cha, 2020). In this context, this research

presents a workflow whether different clusters have higher energy consumption rate and is there Significant correlation exist between different design variables and the energy performances. we proposed the framework, which is based on GIS, parametric simulation modeling (Rhino-Grasshopper-Ladybug Tools) combined with deep learning (ANN).

To perform statistical analysis, we utilized correlation matrix, summarize within, Explanatory Regression analysis, and ordinary least squares.

Steps taken

GIS Data & Variables

Explanatory Variables

Data [4]: Accessibilities, Boundaries, Census, Facilities, Land Use IVs

Shape_Height Shape_Length WWR_East WWR_North U-Value

Shape_Area WWR_South WWR_West Number of People Insulation

DVs

Solar Radiation Daylight (UDI) Energy Use (EUI) Envelope Cost

PROBLEM STATEMENT

Data mapping

shelters made of bamboo frames, tarpaulin, and plastic sheeting in CBD [3] creating unhealthy built environment.

Sustainable measures analysis is needed to lessen the environmental impact on these Refugee shelters [5].

ALTERNATIVE HYPOTHESIS Different Clusters have different energy consumption rate.

Existing situation

Significant correlation exists between different explanatory variables and the energy performances

3D visualization

- WWR East, - WWR North, +WWR South, + Number of People, - Insulation + WWR East, + WWR North, +WWR South, + WWR West, + U Value - Shape Height, + WWR South, +WWR West, - U Value, - Insulation + Shape Height, - WWR East, -WWR North, - U Value, + Insulation

DVs UDI EUI Envelope Cost Solar Radiation

AMPHIBIOUS AFFORDABLE HOUSING

CONTRIBUTION

TEAM

PUBLICATION

80% Conceptualization, 80% Methodology development, 50% Paper writeup

Jayedi Aman Sheikh Rishad Ahmmad Salma Begum Nabeela Nushaira Rahman

Aman, J., Rahman, N. N., & Zahir, S. (2016). ‘Beltola Lilies’ – A Solution of Housing for Lower Income People and Introduction of a Module for Flooded Areas.

Creative Space, 3(2), 119–131. h tt p s : / / d o i . o rg / 1 0 . 1 5 4 1 5 / cs.2016.32001

for low-income people in the urban wetlands

SUPERVISOR Dr Shehzad Zahir

BRIEF

When the matter of resilience came up during the conception period of this project, the thought of generating less resistance to natural forces occurred. The project, due to Its amphibious nature and circular shape, provides minimal resistance to flood water and wind flow.

As the house floats In harmony with the level of water and Is hollow underneath, It lets the flood water run smoothly. Its fomi and planned openings allow strong wind flow to not put Intolerable pressure on the structure and provides adequate ventilation. Putting less opposition to natural currents allows It to stand tall In natural setting.

The shape is derived primarily from a water lily, but also takes inspiration from the: traditional raft for floating and umbrella for shade and radial structure.

The project seeks a resolve that is familiar to the inhabitants and disaster resilient by design. It is designed based on sustainable principles - Local, Modular and Energy-Efficiency. Using recognizable architectural scheme and sustainable materials, reducing transportation, saving energy, favoring development of home-grown Industry and over the life cycle of the building, attaining goals of sustainable architecture follows these principles.

The project is shaped to allow free wind flow and amphibious to survive flooding, thus the concept - Less resistance, More resilience.

`13eRola Lily’ is a solution for an ecoaffordable single-family house for the low-Income class of flood-prone areas In Bangladesh.

Concept diagram

Concept diagrams and idea development

Visualization