About
I am the CEO and Co-Founder of impress.ai, an AI-powered recruitment automation platform…
Articles by Dr. Vaisagh
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Driving Ethical use of AI in Recruitment: The CAR Framework
Driving Ethical use of AI in Recruitment: The CAR Framework
By Dr. Vaisagh Viswanathan (VT)
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Empowering High-Performance Individuals: The Role of Generative AI in Redefining Leadership and Productivity
Empowering High-Performance Individuals: The Role of Generative AI in Redefining Leadership and Productivity
By Dr. Vaisagh Viswanathan (VT)
Activity
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It's a wrap! Months of hard work, planning, negotiations, and countless calls culminated in two incredible days. This year, we expanded the hall…
It's a wrap! Months of hard work, planning, negotiations, and countless calls culminated in two incredible days. This year, we expanded the hall…
Liked by Dr. Vaisagh Viswanathan (VT)
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Looking forward to meeting industry leaders and exchanging ideas about exciting new innovations in fintech. See you there!
Looking forward to meeting industry leaders and exchanging ideas about exciting new innovations in fintech. See you there!
Liked by Dr. Vaisagh Viswanathan (VT)
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"What got us here won't get us there" Probably one of the most critical pieces of advice. I had the pleasure of speaking at our HR conference in…
"What got us here won't get us there" Probably one of the most critical pieces of advice. I had the pleasure of speaking at our HR conference in…
Liked by Dr. Vaisagh Viswanathan (VT)
Experience
Education
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Nanyang Technological University
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For my PhD, I worked on modeling behavior in Agent Based Simulations of Crowds with the aim of understanding crowd behavior better. This included researching existing literature in fields as diverse as Machine Learning and Psychology and Sociology, developing new computational models, hacking Minecraft and developing new methods for analysis of huge amounts of generated data
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Graduated with Second Class Upper honours
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All-India Senior School Certificate Exam (A-level equivalent)
90% aggregate: Certificate of Excellence (top 0.1%)
All-India Secondary School Certificate Exam (O-level equivalent)
97% aggregate: Certificate of Excellence (top 0.1%)
Publications
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Cellular Automata-based Anthropogenic Heat Simulation.
Proc. of International Conference On Computational Science 2015
Cellular automata (CA) models have been for several years, employed to describe urban phenomena like growth of human settlements, changes in land use and, more recently, dispersion of air pollutants. We propose to adapt CA to study the dispersion of anthropogenic heat emissions on the micro scale. Three dimensional cubic CA with a constant cell size of 0.15 m have been implemented. Simulations suggest an improvement in processing speed compared to conventional computational fluid dynamics (CFD)…
Cellular automata (CA) models have been for several years, employed to describe urban phenomena like growth of human settlements, changes in land use and, more recently, dispersion of air pollutants. We propose to adapt CA to study the dispersion of anthropogenic heat emissions on the micro scale. Three dimensional cubic CA with a constant cell size of 0.15 m have been implemented. Simulations suggest an improvement in processing speed compared to conventional computational fluid dynamics (CFD) models, which are limited in scale and yet incapable of solving simulations on local or larger scale. Instead of solving the Navier- Stokes equations, as in CFD, only temperature and heat differences for the CA are modeled. Radiation, convection and turbulence have been parameterized according to scale. This CA- based approach can be combined with an agent-based traffic simulation to analyse the effect of driving behavior and other microscopic factors on urban heat.
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Information Impact on Transportation Systems.
Journal of Computational Science
With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the…
With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.
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The Influence of Memory on Indoor Environment Exploration: A Numerical Study.
Behavior Research Methods
Understanding human behavior in the context of exploration and navigation is an important but challenging problem. Such understanding can help in the design of safe structures and spaces that implicitly aid humans during evacuation or other emergency situations. In particular, the role that memory plays in this process is something that is crucial to understand. In this paper we develop a novel serious game based experimental approach to understanding the non-randomness and the impact of memory…
Understanding human behavior in the context of exploration and navigation is an important but challenging problem. Such understanding can help in the design of safe structures and spaces that implicitly aid humans during evacuation or other emergency situations. In particular, the role that memory plays in this process is something that is crucial to understand. In this paper we develop a novel serious game based experimental approach to understanding the non-randomness and the impact of memory on the human exploration process. We show that a simple memory model, with a depth of between 6-8 steps, is sufficient to approximate a `human-like' level of exploration efficiency. We also demonstrate the advantages that a game based experimental methodology brings to these kind of experiments in the amount of data that can be collected as compared to traditional experiments. We feel that these findings have important implications for `safety-by-design' in complex infrastructural structures.
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Quantitative comparison between crowd models for evacuation planning and evaluation
European Physical Journal B
Crowd simulation is rapidly becoming a standard tool for evacuation planning and evaluation.
However, the many crowd models in the literature are structurally different, and few have been rigorously calibrated against real-world egress data, especially in emergency situations. In this paper we describe a procedure to quantitatively compare different crowd models or between models and real-world data. We simulated three models: (1) the lattice gas model, (2) the social force model, and (3)…Crowd simulation is rapidly becoming a standard tool for evacuation planning and evaluation.
However, the many crowd models in the literature are structurally different, and few have been rigorously calibrated against real-world egress data, especially in emergency situations. In this paper we describe a procedure to quantitatively compare different crowd models or between models and real-world data. We simulated three models: (1) the lattice gas model, (2) the social force model, and (3) the RVO2 model, and obtained the distributions of six observables: (1) evacuation time, (2) zoned evacuation time, (3) passage density, (4) total distance traveled, (5) inconvenience, and (6) flow rate. We then used the DISTATIS procedure to compute the compromise matrix of statistical distances between the three models. Projecting the three models onto the first two principal components of the compromise matrix, we find the lattice gas and RVO2 models are similar in terms of the evacuation time, passage density, and flow rates, whereas the social force and RVO2 models are similar in terms of the total distance traveled. Most importantly, we find that the zoned evacuation times of the three models to be very different from each other. Thus we propose to use this variable, if it can be measured, as the key test between different models, and also between models and the real world. Finally, we compared the model flow rates against the flow rate of an emergency evacuation during the May 2008 Sichuan earthquake, and found the social force model agrees best with this real data.Other authorsSee publication -
Analysing the Effectiveness of Wearable Wireless Sensors in Controlling Crowd Disasters
2014 International Conference on Computational Science
The Love Parade disaster in Duisberg, Germany lead to several deaths and injuries. Disasters like this occur due to the existence of high densities in a limited area. We propose a wearable electronic device that helps reduce such disasters by directing people and thus controlling the density of the crowd. We investigate the design and effectiveness of such a device through an agent based simulation using social force. We also investigate the effect of device failure and participants not paying…
The Love Parade disaster in Duisberg, Germany lead to several deaths and injuries. Disasters like this occur due to the existence of high densities in a limited area. We propose a wearable electronic device that helps reduce such disasters by directing people and thus controlling the density of the crowd. We investigate the design and effectiveness of such a device through an agent based simulation using social force. We also investigate the effect of device failure and participants not paying attention in order to determine the critical number of devices and attentive participants required for the device to be effective.
Languages
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English
Native or bilingual proficiency
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Malayalam
Native or bilingual proficiency
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Hindi
Limited working proficiency
Organizations
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IEEE
member
- Present
More activity by Dr. Vaisagh
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Look forward to hosting a panel of heavyweights at our upcoming event titled 'Recruitment - then and now', next Thu, Aug 22nd over a breakfast…
Look forward to hosting a panel of heavyweights at our upcoming event titled 'Recruitment - then and now', next Thu, Aug 22nd over a breakfast…
Liked by Dr. Vaisagh Viswanathan (VT)
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Much to celebrate! Excited to have been part of this amazing adventure last few years!
Much to celebrate! Excited to have been part of this amazing adventure last few years!
Liked by Dr. Vaisagh Viswanathan (VT)
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As a founder / start-up CEO, days like yesterday are especially rewarding where the community and network that you've worked hard to create turn up…
As a founder / start-up CEO, days like yesterday are especially rewarding where the community and network that you've worked hard to create turn up…
Shared by Dr. Vaisagh Viswanathan (VT)
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I am happy to share that the first Doctoral Student, Rohit Chowdhury, from my research group at the Indian Institute of Science (IISc), has…
I am happy to share that the first Doctoral Student, Rohit Chowdhury, from my research group at the Indian Institute of Science (IISc), has…
Liked by Dr. Vaisagh Viswanathan (VT)
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Another caught me by surprise birthday celebration! I remembered last year I was also caught off guard! Thanks to the talent acquisition team for…
Another caught me by surprise birthday celebration! I remembered last year I was also caught off guard! Thanks to the talent acquisition team for…
Liked by Dr. Vaisagh Viswanathan (VT)
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