PORTFOLIO ISHA JAIN
Isha Jain Date of birth : 6 July 1999 Mobile : +91 9664520947 E-mail : isha.jainb16@gmail.com ishabafna14@gmail.com
Personal Information Nationality
Indian
Languages
English, Hindi, French
Skill Set Digital
McNeel Rhinoceros Adobe Photoshop Adobe Indesign Adobe Illustrator Autodesk AutoCAD Grasshopper ; and plug-ins SketchUp Adobe Premier Pro Climate Consultant, ECOTECT, DiaLux, Daysim, EQuest and other simulation tools Microsoft Offce
Manual
Model Making Laser cutting 3D Printing Drafting Sketching
Education CEPT University Ahmedabad 2017- present
Bachelors in Urban Design Semester V
Junior College, DPS Navi Mumbai 2005-2015
Science Secondary Education Grade XI - Grade XII
Delhi Public School Navi Mumbai 2005-2015
Primary Eductaion, CBSE Board Grade I - Grade X
CURRICULUM VITAE Hello! This portfolio indicates my journey of engaging with the world around us through the lense of urban design and it’s overlaps with architecture and planning. The projects vary from an urban insert scale to neighborhood generation. This work was done in the duration of three years during my undergraduate program at CEPT University.
Workshops 2019
Habitat+ Susutainable Buildings Delhi Summer School Aldo Van Eyck’s Playscapes Amsterdam
2018
Rammed Earth Construction Hunnarshala Bhuj
2017
Documentaing culture and human settlement Majuli Island, Assam
Work Experience Vistaar Architects and Planners Internship
Station Area Traffic Improvement Scheme (SATIS)
Competitions Blank Space Project
Fairytales 2020 (decision Pending)
CONTENTS
01
03
Sem V - From utopias to heterotopias
Sem IV - Generative techniques for urban placemaking
Mass housing
Parametric Design
02
04
Station Area Traffic Improvement Scheme (Prior to Sem III)
Sem III - Play methodo
Internship
Urban Inse
05
Documenting Majuli
erts
ologies
Relative study programme
07
1:1 Construction Sem II - Construction Technologies
06
Fairytales 2020
Blank Space Project competition entry
01
Analysing the Existing
Nehrunagar Neighborhood, Surat
Unit plans and sections
The existing fabric of the site. The individual unit plans and sections to study space occupance.
2
Existing Sections
Very dense and individualistic built forms. Most of the open spaces and streets are encroached with economic activity.
Proposed sections
Increase in the semi-private spaces in a climate responsive manner to provide a better space to accomodate the activities.
Parti-wall Model
Depicting the cross ventilation between the units and th overall fabric of the clusters.
4
02
SATIS Site Background
C
Thane station, Mumbai
A
B
C
30 28 26 24 22
43.48 6.87
15
14
9 8 7 6
14.68
12.04
9.93
17
18
19
20
39
5
4 3
2
30
6.00
4.22 15
16
17
22 18
19
20
5
4
1
30 26 24
4.50
Dado Line at 3M
Dado Line at 3M
Plastic emulsion paint
4.50
11.94
19.07
1 2
3
16
5
17
4
18
3
19
20
28 26 22
15
16
5
17
4
18
19
20
3
2
23 21
1 26
4.50
Dado Line at 3M
29 27 25
Plastic emulsion paint
24
12 10
Dado Line at 3M
2.52
21
11
22
14
27 25 23
13
9 8 7 6
Exterior acrylic emulsion paint
Dado Line at 3M
1.98
29
Plastic emulsion paint
2 1
28
Exterior acrylic emulsion paint
Dado Line at 3M
11
24
12 10
1
21
13
2.49 14
Railing 32
550
3.75
23
Plastic emulsion paint
3 2
22
15
9 8 7 6
5.65 Plastic emulsion paint
29 27
11
28
3.96
11.68
25
13
9 8 7 6
14
Plastic emulsion paint
4.95 550
32
24
12
Plastic emulsion paint
1
34
28
10
Plastic emulsion paint
5.09
Plastic emulsion paint
26
10
21
36
31
14
10.10
23
38
37 35 33
12
29 27 25
11
10
9.63
16
13
12
15
16
17
18
19
20
11
5
4
3
1 2
29
2
1
3
27 25 23 21
Plastic emulsion paint
13
9 8 7 6
Exterior acrylic emulsion paint
Exterior acrylic emulsion paint
C B
FOOT OVER BRIDGE A
BASEMENT LINE TOILET BLOCK LINE DECK LINE
*Work done under Junior Architect
6
03
Generating Kowloon
1. BLOCK OF SIZE 10MX10M
2. SUBSTRATE INTO BLOCKS
3. DIVISION INTO 5 PLOTS
4. DIVISION OF FLOORS +3.0M
M o 5. FURTHER DIVISION INTO 2MX2M
6. NON UNIFORM SCALING OF FLOORS
7. REMOVE THE BLOCKS SMALLER THAN 10 SQM, AND MERGE.
8.EXTRUSION OF VOLUME
M s
Parameters gene pool : No. of f loors (Building Heights)
Fitness criteria : Maximise distance between open spaces
Maximisedistance sunlightbetween hours on Maximise exposed surfaces open spaces
Maximise average building heights
M
Maximise sunlight hours on exposed surfaces
M h
Maximise distance between open spaces
Void creation Minimise distance of open space from built
Minimise distance of open spaces from built
Non unifrom scaling of ffoors Maximise sunlight hours on exposed surfaces
Orientation of the plots
Minimise distance of open spaces from built
Maximise average building heights
Maximise sunlight hours on exposed surfaces
Maximise average building heights Maximise open spaces
Maximise open spaces
Maximise sunlight hours on
Maximise average building
Maximise open spaces
Orientation of the voids
GENERATION 1
GENERATION 2
GENERATION 3
g 1.01
g 1.02
g 2.01
g 2.02
g 3.01
g 3.02
g 1.03
g 1.04
g 2.03
g 2.04
g 3.03
g 3.04
PARETO FRONT | GEN 1
G 1.01
A = 2641944 sqm B = 4100 m C = 6204 D = 17 E = 29738 sqm
PARETO FRONT | GEN 2
G 2.09
A = 3236340 sqm B = 3406 m C = 6119 D = 17 E = 35024 sqm
PARETO FRONT | GEN 3
G 3.08
A = 3759771 sqm B = 4491 m C = 6897 D = 17 E = 34812 sqm
Startergising and Analysing Startergising the parameters to manipulate and evaluating them based on the criterias set according to the vision for the site.
2
Neighborhood Generation Jivraj Park, Ahmedabad Social Interaction Physicality of a space
MAKE A 5MX5M GRID ON THE PLOT
Pattern of arrangement Experiment 1
Volume of spaces
Stage 1- 1.01 Comipling rules for cellular automata based on case studies
Stage 1- 2.01 Removing the existing secondary street network
Stage 2- 1.2.01 Choosing 100 variations that meet requirements of built/open and surface area : perimeter ratio
1.03 Dispatching open spaces based on size into S,M,L ; deeining a range
1.03.01 Choosing variations which have the required ‘number’ of S,M,L open spaces.
1.03.02 Choosing 25 variations based on the evaluation criteria for large open spaces.
MAKE A 5MX5M GRID Stage 2DISTRIBUTE BUILT AND 2.02 ON THE PLOTDivide the batch into OPEN IN PATTERNS subsets based onBY GIVING RULES IN RABBIT land use and density
MAKE A 5MX5M GRID ON THE PLOT DISPATCH INTO SMALL, MEDIUM LARGE REMOVE AND STREET NETWORK OPEN SPACES BASED ON (NETWORK DISTRIBUTION) CASE FROMSTUDIES. THE PATCH
DISTRIBUTE BUILT AND OPEN IN PATTERNS BY GIVING RULES IN RABBIT
DISTRIBUTE BUILT AND OPEN IN PATTERNS BY EVALUATE ALL OF THEM GIVING RULES IN RABBIT ANDSUBSETS THEN SELECT 3 MAKE ON THE VARIATIONS PLOT BASED ON LAND USE AND IT’S DENSITY THERE.
DI ME OP OVE CA GRI ACC USE
DISPATCH INTO SMALL, MEDIUM AND LARGE REMOVE STREETBASED NETWORK OPEN SPACES ON (NETWORK DISTRIBUTION) CASE WITH STUDIES. OVERLAY DIFFERENT FROM THE PATCH GRID SIZES AND OFFSETS ACCORDING TO USE AND DENSITY
EVALUATE ALL OF THEM AND THEN SELECT 3 MAKEVARIATIONS SUBSETS ON THE PLOT BASED ON LAND GIVE DIFFERENT RANGE USE AND IT’S DENSITY OF HEIGHTS THROUGH THERE. DIFFERENT GENEPOOLS FOR EXTRUSION ON THE SUBSETS.
OVE GRI ACC USE
OVERLAY WITH DIFFERENT GRID SIZES AND OFFSETS ACCORDING TO USE AND DENSITY
GIVE DIFFERENT RANGE OF HEIGHTS THROUGH DIFFERENT GENEPOOLS FOR EXTRUSION ON THE SUBSETS.
2.03 : Experiment 2 2.03.01 - Giving ranges of heights to each subset based on particular land use and density MAKE A 5MX5M GRID DISTRIBUTE BUILT AND 2.03.02 - Giving ranges of overlaying grid ON THE PLOT OPEN IN PATTERNS BY sized to make surfaces based on subsets GIVING RULES IN RABBIT REMOVE STREET NETWORK (NETWORK DISTRIBUTION) FROM THE PATCH
MAKE SUBSETS ON THE PLOT BASED ON LAND USE AND IT’S DENSITY 2.03.03 - Giving ranges THERE.of offsets of each
grid based on density.
2.04 - Optimising for four tness parameters
2.05 - Evaluating the individuals
Process and Pseudo-code
Flowchart of the steps to be taken in order to generate a neighborhood rich in socially interctive spaces and the pseudo-code to be followed.
DI ME OP CA
REMOVE STREET NETWORK (NETWORK DISTRIBUTION) FROM THE PATCH
MAKE SUBSETS ON THE PLOT BASED ON LAND USE AND IT’S DENSITY THERE.
2D CELLULAR AUTOMATION
Refering to Conway’s game of life 2D cellular automation creates patterns based on dead and alive based on rules that we input. In my case, a dead cell = open space, and an alive cell = built space.
If a cell has less than 2 alive neighbours it leads to death by loneliness.
If a cell has more than 3 alive cells it leads to death by overcrowding.
If a cell has exactly 3 alive neighbours it leads to reproduction. Each cell has 8 immediate neighbours that it affects.
If a cell has exactly 2 alive neighbours it remains alive.
REQUIREMENT 1 : 60-70 % BUILT REQUIREMENT 2 : SURFACE AREA : PERIMETER RATIO = 3 SEED VALUE 1
LARGE OPEN SPACE
MEDIUM OPEN SPACE
SMALL OPEN SPACE
Geneartions and Analysing Analysing the results of cellular automation and then generating neighborhoods to be further analysed based on criterias of climate responsiveness.
8
04
Site Background Faisal nagar, Ahmedabad The Bombay Hotel area in the southern periphery of Ahmedabad city is the result of various social, economic and political factors coming together and forcing the lower class Muslim community of the city to lead their lives in certain ways that many may deem extremely difficult. It is an area where we find infrastructure facilities such as housing, water, electricity, healthcare, education, etc provided by not only the established formal institutions but also the infromal networks. In some cases, such as the electricity network, we can say the formal network exists because of the presence of the informal network. Also there is a lack of proper infrastructure services as it is present in bits and pieces in the area and the quality of facilities provided is very low. In terms of infrastructure facilities, there are many reasons why the informal networks dominate the formal ones in an area like this. The inaffordabiliy to pay the formal institutions being one of the major reasons. Also the inefficiency of the formal networks, and blatant absence of them in many places. The formal institutions are in a fix, since 90% of the settlements in the area are informal and hence do not have a direct right on the infrastructure facilities
Water Clogging
The Site has major spots that get completely submerged in water, and that is not just during the monsoons!
Solid waste accumulation
Due to inaccessibility to the streets, the site does not have a waste pick up truck or any other management in place and hence is covered with solid waste.
10
Deriving Inferences How do we get an insight into the thought processes of an exteremly reserved community ? The game proved to be a tool to get deign inferences. It got us to understand the difference of preferences not just between different user groups on site but also between how us as outsiders usually assume the requirements of a community and what they actually need.
Children on site playing the game.
Playing with professors and students from college.
Participatory Design A game to get the insights of the user groups requirements and preferences.
Middle aged man from site looking at the problems on the board and selecting their preferred solution card.
An end debate after each round, on the solution cards everyone picked for a particular problem on the board.
12
Urban Insert : Re-Tree(t)
P14
P13
P12 P11
P10
P9
P8
P7
P6
P5
A waste to energy plant as an urban insert The insert focuses on the reduction of solid waste from the site and the improvement in safety. It takes solid waste as input and converts it to electricity, manure and solid waste blocks. It is a self illuminating structure that also acts as street furniture because it provides a place for people to sit.
P4 P3 P2
P1
P14 : PLANTATION BLOCK A BLOCK OF SOIL FOR THE CLIMBERS TO GROW IN
P10,11,12 THE BIOGAS COMES OUT AT THE RATE OF 2.8 G/S PER KG OF WASTE TO TURN TO ELECTRICITY AT THE RATE OF 60% THIS CAN PRODUCE 1 KW OF ELECTRICITY IN A WEEK, BASED ON THE AVERAGE WASTE GENERATED.
M2,4
P13 : WATER TANK FOR WATERING THE PLANTATION ON THE RODS M1,4 P12 : BATTERY A 1KW BATTERY TO STORE ENERGY AND LIGHT THE LED STRIPS M3,4 P11 : INTERNAL COMBUSTION ENGINE CONVERTS BIOGAS TO ELECTRICITY M3,4
P10 : CYLINDER LID A LID WITH A GAS OUTLET IN THE MIDDLE CONNECTED TO THE ENGINE. M3
P9 : ORGANIC WASTE INLET PIPE HALF U SHAPE TO MAINTAIN EQUILIBRIUM TO MAKE AN AUTOMATIC BLOCKING LID
P3,4,8,9 THERE IS A TOTAL OF 84 KGS OF INORGANIC AND 168 KGS OF ORGANIC WASTE PER WEEK PER LANE. IT TAKES AN AVERAGE OF 5-7 DAYS TO FULLY DECOMPOSE. THAT GIVES OUT AN AVERAGE OF 12.6L OF MANURE PER WEEK.
M1
P8 : DECOMPOSITION CYLINDER COLLECTION OF ORGANIC WASTE TO BE LEFT TO DECOMPOSE M1
P7 : LIGHT RINGS RINGS OF LED STRIPS THAT MAKE THIS A SELF ILLUMINATING STRUCTURE M2,3
P6 : METAL RODS TO PROVIDE STRUCTURAL SUPPORT
M3
P5 : SOLID FILTER A FILTER TO SEPERATE SOLID WASTE FROM LIQUID MANURE
M3
P1 THE 84 KGS OF INORGANIC WASTE IS PUT INTO THE HYDRAULIC COMPRESSION BOX THAT HAS TWO PIPES WITH EQUAL LEVELS OF WATER IN IT, WHICH IS THEN CONNECTED TO A RAMMER, THAT THEN MOVES BECAUSE OF THE PRESSURE DIFFERENCE OF THE AIR ABOVE AND BELOW THE RAMMER.
P4 : MANURE COLLECTION HEMISPHERE 30 CMS IN HEIGHT PLACED 50 CMS FROM THE GROUND M1 P3 : MANURE OUTLET PIPE UTLET OF MANURE THAT CAN BE USED TO LANDSCAPE THE PLACE M1 P2 : SEATING VARIABLE HEIGHTS AT THE OF THE STRUCTURE M1,4 P1 : HYDRAULIC COMPRESSION BOX COMPRESS INORGANIC WASTE TO MAKE PLASTIC BLOCKS USED AS PAVEMENTS
M1,3,4
M1 : HDP HIGH DENSITY PLASTIC.DOESN’T BREAK AND CAN BE MOULDED.
M2 : HYPERTUFA LOOKS LIKE STONE VERY LIGHT, YET FIRM.
M3 : METAL
M4 : WOOD
*Work done in a pair
14
05
Documenting
The largest river island in the world in Majuli, Assam
CONCRETE WALL
BAMBOO FENCE STRAW ROOF
BAMBOO WALL
STORAGE ROOM KITCHEN
WASHING AREA SLEEPING AREA LIVING ROOM SITTING AREA
Chitadhar Chuk
0 2
7
14
06
A Sisyphus Act
An odyssey for the future when the world goes underwater, and human kind takes steps towards solutions, together.
*Work done in a pair
16
07
Construction
From Foundation to Roof The making of this structure from scratch gave us insights on the joinery details, material details and construction techniques involved in the building of a simple structure.
18
“Content precedes design. Design in the absence of content is not design, it is decoration.� Jefferey Zeldman
isha.jainb16@gmail.com +91 9664520947