Debarati’s research interest involves studying the role of different factors in decision making. As part of her doctoral thesis, she used behavioural as well as electroencephalographic methods to study how different emotional contexts affect outcome experience of description based decisions. Currently, she is working as a DST-CSRI postdoctoral fellow at IIT Mandi. Her present work involves studying the event-related potential (ERP) correlates of experience based decisions, and how different factors modulate these neural parameters in decisions from experience. Such findings will contribute to build a robust theory of experience-based decision making. Her future goal is to extend this research from theoretical to applied fields, and create useful intervention methods to address the existing biases in decision making.
Neha is interested in employing modeling techniques at different levels of abstraction to understand how people integrate information and, ultimately, reason about the world. She has been working on various models of Cognition specifically in the area of Decisions from Experience both at the abstract as well as application level. She has used some of the best Cognitive models of aggregate choice to predict individual human choice; in the other, She is also trying to design and implement these models to predict individual human behavior in a real-life application domain. Looking forward, she hopes to go graduate as a computational cognitive science professional.
Office: ACS Lab IIT Mandi
E-mail: neha724[at]gmail[dot]com
Phone: +91-9418-646314
Fax:+91-1905-267009
Medha Kumar, M.S.
Ph.D. Candidate
Medha proposes to incorporate game theory to understand how people cooperate with each other on investments against climate change. The climate game based on collective risk social dilemma becomes interesting when the payoffs for each player differ based upon whether climate change occurs or not after each round of negotiation (where the probability of climate change is a function of the number of investments made by players in the previous rounds). She is trying to use this idea of bringing variability in payoffs for players based upon probabilistic occurrence of climate change. In order to induce investment between players, another idea is to enforce punishment on non-investing players. Here, the model will be such that the probability of punishment on a player increases with increasing non-investing decisions of the player.
Prateek has been involved in research work in the field of landslide hazard zonation, monitoring, warning system and prediction in NW Himalayas since 2005. His work on natural hazards such as landslides, debris flow afflicting the Army personnel deployed on various hilly routes of Himalayan states has resulted in preparation of hazard zonation maps, regional level warning systems based on rainfall thresholds, a site specific warning system based on various sensors installed on the body of a landslide. He has been involved in developing a Landslide Alert mobile app. As a part of Applied Cognitive Science (ACS) lab of IIT, Mandi; He has contributed in developing an online Interactive Landslide Simulator (ILS) for improving the awareness and perceptions of public and policy makers towards landslide risk by incorporating human factor. (ILS can be accessed at www.pratik.acslab.org).
Palvi is doing her PhD in the area of Cyber Security. She is interested in the analysis of cognitive limitations of memory and recall for hackers and analysts and explore experiential decisions made by hackers and analysts in cyber-security games involving deception. Prior to ACS Lab, She did Master's in Information Security and Bachelor's degree in Computer Science. Her areas of interest include Deception in Cyber-World, Intrusion Detection Systems and Malware analysis using Machine learning techniques.
Office: ACS Lab IIT Mandi
E-mail: palvi_aggarwal[at]students[dot]iitmandi[dot]ac[dot]in
Phone: +91-1905-267184
Fax:+91-1905-267009
Zahid Maqbool, M.S.
Ph.D. Candidate
Zahid is a Ph.D student in the School of Computing & Electrical Engineering, Indian Institute of Technology Mandi. He is currently working on building a secure and trustworthy cyberspace: A behavioral game-theoretic approach and working on dynamic security games and Markov games in the ACS Lab. His major area of interests are game theory, Machine learning and data mining.Zahid is particularly interested in how these fields can enrich one another and contribute to public policy
Shubham Agarwal is a Postgraduate student pursuing his masters in Information and Communication Technology from University of Rajasthan, Jaipur. He started working in ACS lab on Landslide early warning system with Pratik Chaturvedi since May,2017. Currently he is working on how different emotional contexts affect outcome experience of description based decisions using ElectroEncephaloGraphic study as well as behavioural methods and how different factors modulate these neural parameters in decisions from experience. His areas of interest include cognitive sciences , system security and artificial intelligence.
M.Tech in Information and Communication Technology
Phone: +91-85598-16775
E-mail: shubhamagarwal223[at]gmail[dot]com, shubham[at]acslab[dot]org
Website: http://shubham.acslab.org/
Kapil Agrawal, B.Tech
Project Associate
Kapil is a undergraduate at Delhi Technical University, Delhi India. Presently, he is assisting in the project named “Development of a landslide risk communication system”. Here, he is involved in the analysis of the rainfall data of previous years to determine the landslide prone zones in the way of Mandi to Manali. Furthermore, he is utilizing this data for the development of logistic regression model using machine-learning algorithms in weka. He is interested in the field of Machine Learning, Artificial Intelligence, Deep learning.
B.Tech in Mathematics and Computing
Phone: +91-99993-78169
E-mail: kapil.agrawal1995[at]gmail[dot]com
Mrigansh Gupta, M.Tech
Project Associate
Mrigansh has completed his Master's degree in Information and Communication Technology from the University of Rajasthan. He is currently working on a Low-cost MEMS-Based Landslide Early Warning & Monitoring system which involves Internet of Things and Machine Learning. His aim to develop a system which can predict the occurrence of landslides in the hilly terrains of Himachal Pradesh to mitigate the after-effects. His research interests involve micro-controllers, Cognitive Modeling with machine learning.
M.Tech in Information and Communication Technology
Phone: +91-94675-82846
E-mail: mriganshgupta[at]gmail[dot]com
Yashasvi Baweja, B.Tech
Intern
Yashasvi Baweja is a junior undergraduate from Indraprastha Institute of Information
Technology, Delhi. He is currently working on developing low cost MEMS based landslide
monitoring system using IOT. The system has been deployed in Kamand campus. Apart from
that he has also worked on generating landslide prediction models using various machine
learning techniques and also tackle the problem of class imbalance in the site gathered
data.
B.Tech in Computer Science and Engineering
Phone: +91-95822-09180
E-mail: yashasvi1997[at]gmail[dot]com
Website: https://yashasvi97.github.io/
Pramod B.S, B.Tech
Intern
Pramod is an Under-Graduate student pursuing his bachelor's degree in Computer Science and Engineering from National Institute of Technology Karnataka (NITK), Surathkal. He has been working at ACS Lab since May 2017 on a project from DRDO for the development of human-performance modeling framework for visual cognitive enhancement in IVD, VR, and AR paradigms and has designed a Submarine Warfare Simulator with IVD for Desktop and VR platforms with Akash Rao. He has also worked on a project from SCSTE, Himachal Pradesh for the development of Landslide Risk Communication Solutions in H.P and has developed an Android application to notify alerts to the users who are close to a landslide prone area with Dr. Varun Dutt. He is interested in the fields of Machine Learning, Artificial Intelligence, Game development and Android Application development.
B.Tech in Computer Science and Engineering
Phone: +91-94800-41659
E-mail: 15co234[dot]pramod[at]nitk[dot]edu[dot]in
Website: https://pramod-b-s.github.io/
Anubhav Gautam, B.Tech
Intern
Anubhav Gautam is a junior (3rd) year undergraduate student pursuing his bachelors in Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, India. He is currently working on finding the sweet spot for the best approach of Frequent Pattern Mining and Association Rule Mining on distributed platforms that work on in-memory computations like Spark, Flink and also on using KDB+ as a storage solution for the same to increase efficiency. He is interested in Deep Learning and Neural Nets and hopes to take his career forward in the same.
B.Tech in Computer Science and Engineering
Phone: +91-76759-12711
E-mail: anubhavgautam2020[at]gmail[dot]com
Website: https://anubhavgautam.github.io/
Aayush Gupta, B.Tech
Intern
Aayush is an Under-Graduate student pursuing his bachelor's degree in Computer Science and Engineering from Jaypee University of Information Technology, Waknaghat. He is working in ACS Lab on Machine learning and Data mining for sales and analytics in Pharma. In the project he is working on creating a Social Network based on different referral patterns and using graph analysis to do the same. His areas of interest include data science and machine learning algorithms.
B.Tech in Computer Science Engineering
Phone: +91-86290-10334
E-mail: aayush.gupta1597[at]gmail[dot]com
Devesh Kashmiri, B.Tech
Intern
Devesh is an Under-Graduate student pursuing his bachelor's degree in Computer Science and Engineering from Jaypee University of Information Technology, Waknaghat. He is working in ACS Lab on Developing Cyber Security Scenarios using Deception against Hackers in a Sandbox Environment. The project involves implementation of Deception techniques to prevent hackers from hacking into the systems and exploiting them. His areas of interest include machine learning algorithms, networking and cyber security.
B.Tech in Computer Science Engineering
Phone: +91-98058-22369
E-mail: kashmiridevesh[at]gmail[dot]com
Mayank Galhotra, B.tech
Intern
Mayank is an Under-Graduate student pursuing his bachelor's degree in Electrical and Electronics from Maharaja Agrasen Institute of Technology, Delhi. he is currently working on a prototypical landslide risk communication system which involves internet of things and machine learning. It aims to develop a system which works on forecasting and communication of the occurrence of landslides in the hilly terrains of Himachal Pradesh to mitigate the after-effects. His research interests involve micro-controllers, sensors and machine learning.
B.Tech in Electrical and Electronics Engineering
Phone: +91-94134-95325
E-mail: may000ank[at]gmail[dot]com
Akshit Arora, B.E.
Intern
Akshit Arora is an undergraduate student pursuing his bachelors in computer engineering from Thapar University Patiala Punjab . He started working in ACS lab on ILS (Interactive Landslide Simulator (ILS) tool) with Pratik Chaturvedi since summer 2015. Currently he is working on augmented reality based application using Unity3D. His areas of interest include cognitive sciences , machine learning and artificial intelligence.
B.E. in Computer Science
Phone: +91-7696-061995
E-mail: akshit[dot]arora1995[at]gmail[dot]com
Website: http://akshitarora.github.io/home/
Srishti Yadav, B.Tech.
Intern
Srishti is currently working on a prototypical landslide risk communication system which involves internet of things and machine learning. It aims to develop a system which works on forecasting and communication of the occurrence of landslides in the hilly terrains of Himachal Pradesh to mitigate the after-effects. The project involves sensor deployment, cloud infrastructure and an automated risk-communication system which process data via a suitable machine learning algorithm. Her research interests involve micro-controllers, sensors and machine learning.
B.Tech. in Electronics and Communication
Phone: +91-9910-191758
E-mail: srishtiyadav0807[at]gmail[dot]com
Sudhakar Kumar, B.Tech
Project Associate
Sudhakar did his Bachelor of Technology in May 2016 from Shri Mata Vaishno Devi University Katra, Jammu & Kashmir, India. Currently, he is working on the project entitled “Development and Evaluation of Landslide Risk Communication Solutions (LRCS) in Mandi District of Himachal Pradesh”. The project, funded by Himachal Pradesh State Council for Science, Technology & Environment (HPSCSTE), involves the development of a cost efficient early warning system for landslides using open-source components (Arduino and low-cost sensors), software (PHP, MySQL), and state-of-the-art technologies (e.g., Internet of Things, cloud storage, and web based apps).
B.Tech. in Electronics and Communication
Phone: +91-99317-89619
E-mail: 2012eec02[at]smvdu[dot]ac[dot]in
Gaurav Kumar, B.Tech.
Intern
Gaurav Kumar is a junior undergraduate student pursuing his Bachelors from National Institute Technology, Srinagar.
He is working on big data visualization project. The project aims at giving an Enterprise Resource Planning Software with different types of visualization and different interesting information from data regarding them and their competitors to various medicine manufacturing Companies in the USA.
B.Tech. in Information Technology
Phone: +91-9521-581356
E-mail: gauravkumar0579[at]gmail[dot]com
Deepti Dwivedi, B.Tech.
Intern
Deepti is a junior undergraduate at NIT Srinagar, India. Presently, she is assisting in the project named “Development of a landslide risk communication system”. Here, she is involved in the analysis of the rainfall data of previous years to determine the landslide prone zones in the way of Mandi to Manali. Furthermore, she is utilizing this data for the development of logistic regression model using machine-learning algorithms in weka.
B.Tech. in Information Technology
Phone: +91-9984-130266, +91-9796-737013
E-mail: deeptidwivedihdi[at]gmail[dot]com
Saurav Saha, B.Tech.
Intern
Saurav is a Computer Science Undergrad from NIT Mizoram. Presently, he is working on mining of health-care data sets to improve the decision making of physicians for various treatments. He is developing predictive data models using Machine Learning techniques for better analysis of the nature of patients. He is also performing time-complexity analysis to deal with the big data in distributed vs parallel processing.
His previous research experiences involve automated plagiarism detection for Indian Languages, automated Question Answering system for FAQs. He is also an active researcher of NLP-NITMZ Research Team. Prior to joining ACS Lab, he had worked as research intern in Jadavpur University, Kolkata in Natural Language Processing. He is enthusiastic about Data Science and Machine Learning and hopes to become a data scientist in future.
B.Tech. in Computer Science and Engineering
Phone: +91-9402-508957
E-mail: contact[dot]srvsaha[at]gmail[dot]com
Website: http://www.sauravsaha.in/
Vardaan Sangar, B.Tech.
Intern
Vardaan is pursuing his undergraduate bachelor’s degree in Computer Science and Technology at Thapar Institute Of Engineering and Technology University. He worked with the ACS lab (IIT Mandi) on building a secure and trustworthy cyberspace: A behavioral game-theoretic approach-Markov Games. Vardaan's current research interests are in the domain of Game theory ,graph theory and analysis and design of algorithms. His previous research experiences involve generating efficient algorithm for task scheduling on multiprocessors. He also worked as a research student at Indian Institute Of Technology (Ropar) for the computer science department before joining ACS Lab (IIT Mandi).
She is engrossed in decision making, understanding the parameters that people use while making decisions and how their decisions could be mold and their mental models could be improved by giving them training. She has been working as an intern on climate change project which focuses on improving public understanding about Earth's climate through the influence of repeated feedback. It clearly pointed out the cognitive misconceptions general public is having about climate change and how it improved by the help of training by providing them with homogeneous and heterogeneous repeated feedback. She has high hopes to be a proficient cognitive neuroscientist.
The passion to understand human behaviours, thoughts and desires has led Sushmita taking Cognitive Neuroscience as majors in Master's degree. She has been working as an intern under Dr. Varun Dutt on Improving Public Understanding of Earth's climate through repeated feedback. In this research simulation tool is used as an intervention to help public understand the dynamics of climate change which has shown to be effective in learning from decision actions. The proposed research has important implications for developing effective climate education programs that make use of microworld. The resulting intervention would likely improve people's understanding about Earth's climate and help them to make better and informed environmental decisions. She further encourages seeking study computational models of decision making.
Phone: +91-7742-840010
E-mail: susshnegi[at]gmail[dot]com
Tushar Gahlotra, M.S.
Intern
Tushar has been working in the area of climate research. His area of research is to investigate “Why People Exhibit a Lack of Understanding about Earth’s Climate? Influence of Repeated Feedback”. He tries to reduce cognitive misconception about climate change with Dynamic Climate Change Simulator (DCCS).
Surendra has been working in the area of climate research. His area of research is to investigate “Why People Exhibit a Lack of Understanding about Earth’s Climate? Influence of Repeated Feedback”. He tries to reduce cognitive misconception about climate change with Dynamic Climate Change Simulator(DCCS).
