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Himanshu Zade

I am a PhD candidate in the Human Centered Design and Engineering department at University of Washington (UW). I work with Prof. Kate Starbird and Prof. Gary Hsieh towards designing new affordances and strategies within online social media platforms to combat spread of misinformation and to moderate increasing polarity of opinions. In general, I am interested in the fields of computer-mediated communication, social computing and human-computer interaction.

In my previous stint at Microsoft Research, India, I was a Research Fellow in the Technology for Emerging Markets group. Prior to that, I worked as a UX Researcher and spent some time as visiting researcher in HCII at the Carnegie Mellon University. I completed my Bachelors and Masters in Computer Science from International Institute of Information Technology- Hyderabad (IIIT-H), India.

CV Email me Linkedin Twitter


Himanshu Zade, Kushal Shah, Vaibhavi Rangarajan, Priyanka Kshirsagar, Muhammad Imran and Kate Starbird. Towards Improving the Utility of Social Media Data for Crisis Response: Understanding Actionability. In the Proceedings of CSCW 2018.
Himanshu Zade, Meg Drouhard, Bonnie Chinh, Lu Gan and Cecilia Aragon. Conceptualising Disagreement in Qualitative Coding. In the Proceedings of CHI 2018.
Syed Ishtiaque Ahmed, Nicola J. Bidwell, Himanshu Zade, Srihari H. Muralidhar, Anupama Dhareshwar, Baneen Karachiwala, Cedrick Tandong and Jacki O'Neill. Peer to peer in the workplace: A view from the road. In the Proceedings of CHI 2016. [Honorable Mention Award]
Himanshu Zade, Santosh Arvind Adimoolam, Sai Gollapudi, Anind K. Dey and Venkatesh Choppella. Edit Distance Modulo Bisimulation: A quantitative measure to study evolving user models. In the Proceedings of CHI '14, Toronto, Canada, 2014.
Himanshu Zade and Venkatesh Choppella. Functionality or User Interface: which is easier to learn when changed? In the Proceedings of 4th IEEE International Conference on Intelligent Human Computer Interaction, Kharagpur, India, 2012.
Deepti Aggarwal Khot, Himanshu Zade, and Anind K. Dey. Demography based Automated Teller Machines. In the Proceedings of 4th International Conference on Human Computer Interaction, Pune, India, 2012.

Short Papers / Posters

Bonnie Chinh, Himanshu Zade, Abbas Ganji and Cecilia Aragon. Ways of Qualitative Coding: A Case Study of Four Strategies for Resolving Disagreements. Extended Abstracts at CHI 2019.
Susann Wagenknecht, Min Kyung Lee, Caitlin Lustig, Jacki O'Neill and Himanshu Zade. Algorithms at Work. Extended Abstract and Workshop organised at CSCW 2016.
Himanshu Zade and Jacki O'Neill. Design Illustrations to Make Adoption of Ola Technology More Beneficial for Indian Auto-Rickshaw Drivers. Interactive poster accepted for presentation at CSCW 2016.

Work Experience

UX Intern for Institute of Disease Modeling, Intellectual Ventures Inc.

June 2018 - Sept 2018 | Intellectual Ventures Inc. | Bellevue, USA.

Research Fellow at Microsoft Research India

Jun 2015 - Sep 2016 | Technology for Emerging Markets | Bengaluru, India.

UX Researcher at Kern Communications

Oct 2014 - May 2015 | Kern Communications | Hyderabad, India.

Research Visitor at Ubicomp Lab, HCII

May 2013 - Apr 2014 | Carnegie Mellon University | Pittsburgh, USA.

Intern for Innovation Center, CA Inc.

Jul 2012 - Mar 2013 | CA Technologies Inc. | Hyderabad, India.

Research Assistant for VLEAD

Aug 2011 - May 2012 | VLEAD | Hyderabad, India.

Research Assistant for Virtual Labs

Aug 2010 - Apr 2011 | Pascal Lab @ IIIT-H | Hyderabad, India.

Teaching Roles

Teaching Assistant for Voice Interaction Design

Apr 2019 - Jun 2019 | UW | Seattle, USA.

Teaching Assistant for UX Prototyping

Jan 2019 - Mar 2019, Jan 2018 - Mar 2018 | UW | Seattle, USA.

Teaching Assistant for Intro to Game Design

Apr 2018 - Jun 2018 | UW | Seattle, USA.

Teaching Assistant for Designing a Human Centered Venture

Sep 2017 - Dec 2017 | UW | Seattle, USA.

Teaching Assistant for Principles of Programming Languages

Aug 2011 - Dec 2011 | IIIT-H | Hyderabad, India.

Teaching Assistant for Humanities

Aug 2010 - Dec 2010 | IIIT-H | Hyderabad, India.


Exposing misinformation trails on Twitter

Can contextual details about the prior users who share a piece of content influence subsequent users’ assessment of its trustworthiness, and their likelihood to share it further on Twitter?

This project is ongoing. More findings and publications will be updated soon!!

Jul 2018 - Ongoing | Mentor: Kate Starbird, Gary Hsieh | Ongoing | Human Centered Design and Engineerging, UW

Identifying echo-chambers within social media

How do conversational features of social media platforms afford discourse polarization and affect the formation of echo chambers (a situation in which beliefs grow stronger due to their repetition in a closed space)?

Design of social media platforms and the action possibilities they make available to users are known to impact user interactions with that platform. How do conversational features of Twitter (reply vs quote) afford different conversations depending on who you interact with (within a group sharing an opinion vs across different groups sharing distinct opinions)? I collected 'replies' and 'quotes' from Twitter, analyzed the downstream replies using mixed-methods to witness polarization, and investigated the role of platform-affordances in it. Early findings suggest that introduction of new 'quote' feature can bring attention from new audiences with contrary opinions, who then express similar sentiment of approval in the downstream replies, unlike the 'reply' feature which affords more expression of dissent.

This project is ongoing. More findings and reports will be updated soon!!

Jul 2018 - Ongoing | Mentor: Kate Starbird, Gary Hsieh | Ongoing | Human Centered Design and Engineerging, UW

Cultural differences in data privacy perspective on social media

Does the public online debate reveal different perspectives on data privacy across countries/cultures? I analyze Twitter data associated with Cambridge Analytica scandal in both English and Spanish through qualitative coding and model-based analysis. more...
Sept 2018 - Ongoing | Mentor: Cecilia Aragon | Ongoing | Human Centered Design and Engineerging, UW

Understanding conversation strategies on social media: How can we redesign discussion forums?

Humans participate in the online discussions through the medium of an interface. What kind of impact does the design of this interface have on the overall discussion? This research seeks to investigate (1) what does it mean to have a conversation in the online media, (2) what characteristics of an interface impact the quality of conversation and (3) how can we provide interfaces that allow people to engage collaboratively for challenging their confirmation biases.

This research is ongoing. I am leading a directed research group in the Winter 2018 quarter towards this research. More about this here.

Dec 2017 - Apr 2018 | Mentor: Kate Starbird | Ongoing | Human Centered Design and Engineerging, UW

Towards Improving the Utility of Social Media Data for Crisis Response: Is this tweet "actionable"?

Disaster events-related information shared on social media could be useful to emergency responders and affected people. However, it is difficult to get the right information to the right person at the right time. This research seeks to understand and identify “actionable” information, with the understanding that what is actionable to one person may not be the same as what is actionable to another. If you are a responder, please take our survey here.

People are increasingly sharing information on social media during disaster events. This information could be valuable to emergency responders, but there remain challenges for utilizing it to inform response efforts. Considering the design of systems to process this information, one unconsidered factor is that its relevance may vary across responder role. How can we get the right information to the right person at the right time? We interviewed diverse responders to understand what “actionable” information is, allowing that actionability might differ from one responder to another. Through the findings, we (a) offer a nuanced understanding of actionability and differentiate it from situational awareness; (b) describe responders’ perspective of what entails good information when making rapid judgments; and (c) suggest opportunities for augmenting social media use to highlight what needs immediate attention. We offer researchers an opportunity to frame different models of actionability to suit the requirements of a responding role.

We have published this research as a full paper at CSCW 2018. The paper is available here.

Sep 2016 - Apr 2018 | Mentor: Kate Starbird, Muhammad Imran | Submitted to ISCRAM 2018 | Human Centered Design and Engineering

Conceptualising Disagreement for Qualitative Coding

How can we define a collective disagreement that can translate to diverse coding contexts and groups of coders irrespective of discipline? How can we rank such a collective disagreement? This research contributes a conceptual definition of disagreement and two tree-based metrics to rank the disagreement.

Collaborative qualitative coding often involves coders assigning different labels to the same instance, leading to ambiguity. We refer such an instance of ambiguity as disagreement in coding. Analyzing reasons for such a disagreement is essential– both for purposes of bolstering user understanding gained from coding and reinterpreting the data collaboratively, and for negotiating user-assigned labels for building effective machine learning models. We propose a conceptual definition of collective disagreement using diversity and divergence within the coding distributions. This perspective of disagreement translates to diverse coding contexts and groups of coders irrespective of discipline. We introduce two tree-based ranking metrics as standardized ways of comparing disagreements in how data instances have been coded. We empirically validate that, of the two tree-based metrics, coders’ perceptions of disagreement match more closely with the n-ary tree metric than with the post-traversal tree metric.

We have published this research as a full paper at CHI 2018. The paper is available here.

Jan 2017 - Nov 2017 | Mentor: Cecilia Aragon | In the Proceedings of CHI 2018 | Human Centered Design and Engineering, UW

Ola Autos: Peer to peer in the workplace- A view from the road

The introduction of Ola autos in the informal mode of transport- autorickshaws- has possibly affected the landscape of urban mobility. We conduct ethnographic studies and understand the role played by Ola, and suggest design implications to better the social impact upon the urban-poor auto drivers.

The adoption of a P2P application, Ola, which connects passengers to rickshaws, changes drivers work practices. Ola is part of the peer services phenomenon which enable new types of ad-hoc trade in labour, skills and goods. Auto-rickshaw drivers present an interesting case because prior to Ola few had used Smartphones or the Internet. Furthermore, as financially vulnerable workers in the informal sector, concerns about driver welfare become prominent. Whilst technologies may promise to improve livelihoods, they do not necessarily deliver. We describe how Ola does little to change the uncertainty which characterizes an auto-driver's day. This leads us to consider how a more equitable and inclusive system might be designed.

We have published this research as a full paper at CHI 2016. The paper is available here.

Jun 2015 - Aug 2016 | Mentor: Jacki O'Neill | In the Proceedings of CHI 2016 | Microsoft Research India

Gimlets: Usable Machine Learning

The project aims at making the application of machine learning algorithms to sensor data more usable and human friendly. My specific interest in the project is to understand and apply how interactive visualisations help the goal of usable machine learning.

Machine learning classification of sensor data is powerful- it lets you build systems to do activity recognition, stress detection, emotion recognition, and a lot of other tasks (especially physiological ones). But it's hard for non-experts to build classifiers. In the first part, we built and user-tested Gimlets to understand why it's difficult and what features could help future systems.

Further, I am investigating the role that visual analytics can play to help understand and analyse the results of a classifier. This will make the relationship between data, algorithms and the results easy to interpret. I am working on this project as a part of my research internship at the Human Computer Interaction Institute in CMU, Pittsburgh.

Jul 2013 - May 2014 | Mentor: Anind K. Dey

Edit distance Modulo Bisimulation: A Quantitative Measure to Study Evolution of User Models

In order to analyze how users learn to use new devices, our proposed metric allows for a progressive comparison of evolving user models towards the device target model by measuring the behavioral proximity between them.

When a user learns to use a new device, her understanding of it evolves. A progressive comparison of the evolving user models towards the device target model, for analysing learning, involves determining the behavioral proximity between them. To quantify the gap between a user model and a target model, we introduce an edit distance metric for measuring their behavioral proximity using a bisimulation-based equivalence relation. We define edit distance to be the minimum number of edges and states with incident edges required to be deleted from and/or added to a user model to make it bisimilar to the target model. We propose an algorithm to compute edit distance between two models and employ the heuristic procedure on experimental data for computing edit distance between target and user models. The data is organised into two experiments depending on the device the user interacted with: (a) a simple device resembling a vending machine and (b) a close to real-world vehicle transmission model. The results validate our proposed metric as edit distance converges with progressive user learning, increases for erroneous learning, and remains unchanged indicating no learning.

Please find the paper here.

May 2012 - Dec 2013 | Mentor: Venkatesh Choppella, Anind K. Dey | In the Proceedings of CHI 2014.

Mobile Suitability Heatmap

Developed and documented Mobile Interface Guidelines; built a mobile application for allowing CA Inc. products to check their mobile compatibility.

The increasing penetration of mobile internet has made it important for every service provider to have its presence into the mobile application space. The project aimed to develop a set of mobile interface guidelines to suit the mobile needs for CA mobile applications. Accordingly, we studied the factors that drive the standards for mobile interfaces and issued a set of the required guidelines.

The screenshots of the mobile application: (a) Home page of the application. (b) Menu screen displaying the different parameters used to predict the mobile suitability of the application. (c) The subparameters for one of the specific parameters in detail.
© 2013 CA Inc.

Further, we went ahead and built an application to verify if a mobile application is suitable to be used on a mobile device. The application allows a developer to specify which of the mobile interface guidelines (suggested by us) are followed by his application. Each guideline is further divided into multiple parameters to check the extent to which his application follows that particular guideline. Our application then generates a heatmap to suggest how much the developer’s mobile application is suitable for the mobile platform.

Jul 2012 - Mar 2013 | Mentor: Kiran, Rama Velpuri | CA Inc.

Functionality or User Interface: which is easier to learn when changed?

A study to compare the learning gaps that are introduced when a user is exposed to a new version of a software, with which he is previously acquainted.

The rapid release model of software introduces frequent updates to the existing software every twelve-eighteen weeks, forcing a user to get accustomed to its new features. We propose an experimental study to compare the learning gaps that are introduced when a user is exposed to a new version of a software, with which he is previously acquainted. In order to explore the problem, we propose four models of a machine, with each model involving an update either to the functionality, or to the user interface, or both. We conducted a between-subjects experimental study with thirty-two participants who performed two tasks successively on two models of a machine, the second one being a updated model of the first. The analysis of the data using ANOVA implies that a change in the user interface dominates a change in the functionality. Results indicate that 88% of the errors were caused due to a change in the user interface. 87.5% of the users who underwent a change in the user interface hold this change responsible for the learning gap, while only 56.25% users who underwent a change in the functionality consider it to be a potential reason for the learning gap.

Please find the paper here.

Nov 2011 - Nov 2012 | Mentor: Venkatesh Choppella, Harini Sampath | Published in IHCI 2012.

Virtual Labs User Interfaces

Our team built a framework for designing interfaces and structuring content to support asynchronous Virtual Lab development.

The project involved working out a solution that allows multiple lab developers to build user interfaces for their respective labs independently, such that:

  1. There is no mutual interference from different lab developers.
  2. They need not worry about any changes made to the main UI managed by the VLEAD team.
  3. The UIs for all the labs must always follow the standard UI guidelines as suggested by the VLEAD team.
The solution is articulated in detail by our team leader in a publication here.

VLEAD (Virtual Labs Engineering and Architecture Division), based in IIIT-Hyderabad campus, is one of the several teams working on the 'Virtual Labs' project. Know more here.

Aug 2011 - May 2012 | Mentor: Rohit Ashok Khot, Venkatesh Choppella | Team: VLEAD

Y2Y: Youth to Youth

Designed and developed a framework to collect and disseminate information pertaining to urban jobs among the rural population in their local language through SMSes to harness the readily accessible mobile platform.

Access to digital information is readily available in the urban sector in India. It is however still a privilege in the rural India mainly due to the low penetration of computers and internet. Limited knowledge of English language further restricts this access. Employment being one of the dearest needs of this section, we decided to start from information pertaining to jobs in the urban regions. Based on a few surveys undertaken in rural areas neighbouring Hyderabad (India), we identified an information gap between the youth of the rural sector and the urban areas, that was deepening further. Though equipped with essential qualifications, these villagers had a little know-how of the existing opportunities. Apart from the limited access to web through internet cafes, another major concern was the lack of access to the right information that the local audiences could benefit from. As expected, medium of instruction mostly being English further contributed to this information gap.

The solution was to build a Youth-to-Youth information transfer system, so that the information available to the urban youth could be accessed by the unprivileged rural youth. We aimed to bridge the above identified information gap by integrating language and speech technology tools developed at various centres at IIIT-Hyderabad. This integration would result in client-server mobile information system where the users would get information in an identified domain (like education, jobs etc.) in their local languages on mobile phones through SMSes. Thereafter, they may look the references online. My direct contribution to the project was organising the information obtained from different sources and in different languages into a database. I was also responsible for ensuring that each query to the database is addressed correctly in the minimal possible time so that the appropriate information could be displayed online or sent via messages as required.

A rough map illustrating the architecture of our designed solution.

The tentative chosen domain of ‘Jobs and related work opportunities’ can be later extended as a complete information dissemination system informing about government welfare schemes, health care solutions, etc. to the rural population.

Jan 2012 - May 2012 | Mentor: Mrs. Kavita Vemuri | Team: Jay, Manushree, Vishal

Demography based Automated Teller Machines

Identified and differentiated the design requirements of an Indian ATM from the global standards. We also suggested a simple design solution to help address the identified issues.

Automated Teller Machine (ATM) is a widely deployed and used system to cater the banking needs of the user. The idea behind availing an ATM based service was to improve the efficiency of overall financial transaction process. However, in practice, many users with native languages other than English, struggle to efficiently utilize the ATM services on offer. The reason being, even after offering services for more than 40 years, the design of the ATM remained unchanged despite the commonly observed shortcomings. Most of the proposed attempts to redesign the ATM interactivity with the user do not befit a particular diverse demographic setting. The aim of this paper is to address the issue of ATM usability in India. We came up with a novel ATM design both in terms of hardware and software that offers the user a personalised space to interact with the intuitive interface. The proposed design when tested, measured a usability score of 79 on the System Usability Scale, and hence suits the Indian scenario well. The study also issues a set of guidelines that should be considered for designing a system specific to a demography.

Here's the video that we presented at USID 2011 held at Auroville.

Video presented at USID 2011.

Please find the paper here.

Aug 2011 - Mar 2012 | Mentor: Anind K. Dey | Team: Deepti Aggarwal | Published in IHCI 2012. | Design accepted in USID 2011.

Bingo: A smart trash bin

A working prototype of a sensor operated trash bin that enlarges its effective input surface area upon detection of any oncoming waste.

Damn! There again the trash lay off the container! Often many of us are crestfallen at our unsuccessful attempts to throw garbage into the trash cans. Not to forget the umpteen times when you are too lazy to move and take care of the trash lying around. Also, we were not too keen to see the trash can creep around. This was mainly since, mostly, our thrown trash ends up quite close to the trash can, but inside it. We blame this failure upon the limited opening of the trash and propose "BinGO" to serve us lazy folks better!

We wanted something that blossoms and shrinks alike a flower. The idea further evolved to having an inverted umbrella atop of the trash to help enlarge the effective opening. But how does this umbrella unfold itself in a corner of a room? Considering the limited space around a trash can, following images showcase how our idea evolved to a square form.

The proposed form with a square top initially opened from the center. This obstructed the trash that the can intended to capture. It was here that the concept again underwent a serious of design changes till we came up with the final concept.

We completed the design with sensor operated flaps that opened up to enlarge the effective opening upon detection of onwards coming trash. Considering the time constraints of the workshop, we limited ourselves to two flaps- the front and the back. The prototype was built using two servo motors that were operated using sensors. Our prototype worked effectively for trash thrown from a distance of about 3 feet at the same level of the opening.

We presented this project in MIT Media Lab workshop, Delhi, India in 2012 in the sesor-mediated track. (Apologies for the missing video!)

Mar 2012 | MIT Media Labs Workshop, Delhi

Mobile Interface to Support Users of Varying Skill

Prototyped a mobile interface that supports both novice and expert users to allow sharing of mobile phones within the economically poor sections of Indian society.

The project involved choosing a device used regularly by people who find it difficult to operate, and improve it to suit their needs. I often saw senior citizens of India facing problems in using mobile phones mainly due to the technical inadequacy. Their lack of trust in technology further discourage them from using it. Moreover, often mobile phones are shared by people of a family in poorer sections of the society. This neccisitates a mobile interface that supports the interaction practices of novice users without making it frustrating for the expert users.

The iterative design process mainly involved the following actions in the specified sequence.

  1. First Design Iteration: A think aloud session helped me to uncover the general issues faced by people belonging to both the groups of mobile phone users- naive and expert. Based on the information gathered in the think aloud session, we presented a paper based prototype for the interface.
  2. Second Design Iteration: I gathered user feedback on the first design prototype that we presented to the users. Based on this, we modified the design and built a software prototype for the interface.
  3. Third Design Iteration: I performed a heuristic evaluation on the designed prototype to have a detailed insight about the usability issues within the design formulated in second iteration. The realisations from heuristic evaluation were incorporated into the prototype.
  4. Fourth Design Iteration: I conducted user testing on the prototype built in thrid iteration using a specified set of tasks and improved the design as per our findings of the user testing.
  5. Fifth Design Iteration: A final round of user testing was conducted to take care of any issues or limitations left in the design from iteration four.
Aug 2011 - Dec 2011 | Mentors: Anind K. Dey, Jen Mankoff

Designing effective online examinations: Guidelines from a HCI evaluation

Assessed the online examination system of software engineering course offered at IIIT-Hyderabad; issued a set of guidelines from a HCI evaluation and incorporated them into the existing system.

The various set of arguments in favor and in opposition to the introduction of web based examinations have made it essential to check the skills required to master this transition. It is this ideology that has made comparison between the earlier (paper based) and current day (web based) methodologies significant. Therefore, we conducted a study on the online examination portal used by the students of the software engineering elective offered IIIT Hyderabad. It consisted of a survey that gave a basic idea about the student perception of the portal, followed by interview sessions with the students to acknowledge their issues and concerns in certain specific domains with respect to the usability of the portal, and later an experiment supported by talk aloud assessment. We conclude the report by discussing the usability techniques that will help us formulate a set of guidelines to be followed and thus design better online examinations.

Please find the report here.

Aug 2011 - Nov 2011 | Mentor: Herre Van Oostendorp, Bipin Indurkhya | Team: Kirti Garg, Abhinash

Principles of Programming Languages Virtual Lab

Designed and developed a Virtual Lab for Principles of programming languages (POPL).

The POPL virtual lab is a part of an MHRD iniitiative to build virtual labs to provide remote access to labs in computer science, To enthuse students to conduct experiments by the arousing their curiosity, and to share costly equipment and resources, which are otherwise available to limited number of users due to constraints on time and geographical distances.

You can find more about the project and an online version of the finished lab here.

Aug 2010 - Apr 2011 | Mentor: Venkatesh Choppella | Team: Swathy Pendyala, VLEAD


Designed and developed a prototype for a concept idea involving open field version of an indoor game 'Carrom'.

Please find the slides attached.

Jan 2011 - April 2011 | Mentor: Kavita Vemuri | Team: Vishal, Shashank, Jaspal

Hostel occupancy map generation

A user friendly, web-based portal for better administration of the hostels; included features like room booking, automatic batch allocation, key handling and complaint registration.

This was a course project for the Software Systems Analysis and Design coursework. The aim was to smoothen the process of room allocation given the limited availability of hostels on campus in IIIT-Hyderabad, India. Apart from centralised room allocation, we also took care of registration of complaints and archiving the maintainence activites. The process involved requirements gathering, design and development of the software, and verification and validation of the built software. We took support of different tools and languages including PHP, HTML, MySQL, Javascript, CSS, Python to come up with the solution.

Mar 2010 - Jul 2010 | Mentor: C.V. Jawahar, Kirti Garg | Team: Vishal Garg

Ekjaa website layout

Designed the information layout and the web pages for Ekjaa organisation. Also designed the logo and various posters to help the Ekjaa team campaign effectively.

Please visit Ekjaa here!

May 2010 - Jul 2010 | Team: Harsha Mukherjee, Tushar |

TrackWiki pop-book

Developed a plugin to automate the process of importing the reST wiki pages into trac database. more...
May 2010 - Jul 2010 | Mentor: Venkatesh Choppella | Team: Shilpa Sarawagi

Teaching Assistant Portal

An online portal to rank teaching assistants as per their applications to streamline and automate the process of selecting a few most suitable assistants for a particular course from the pool of applicants. more...
Jan 2010 - Mar 2010 | Mentor: Kirti Garg | Team: Ishaan Singh


An application that uses Yahoo map APIs to allow tagging a place (like Hospitals, Schools, Restaurants, etc.) with its features to optimize the search for such facilities.

Our work at Yahoo Hackathon organised at IIIT-Hyderabad, India, in 2010 secured a place within top 10 among 150 teams. Often, we want to visit a restaurant not because it is in the vicinity, but because it serves a particular cuisine. The same extends to different facilities like hospitals, shopping places etc. which can be ranked as per different features available at that facility. Our hack focussed on allowing the users to tag a place with its features and then optimize the search for a facility based on its specific features.

Jan 2010 | Team: Mohak, Navni | Yahoo HackU

Times when I am free

I am a keen traveler, especially places that have interesting architecture!

Making cards, art, and origami is another one!

I also like studying spatial design and huge architectural spaces. Buildings surely drive me crazy! Apart from appreciating, I do sketch decent floorplans, elevations, interiors etc. and end up doing it most of my spare time.

Food, something I can never get bored of! Also try cooking at times.

That's all about me for now! :)