APPLIED COGNITIVE SCIENCE LAB

Indian Institute of Technology Mandi

Past Members

Debarati Bandyopadhyay, M.Sc., Ph.D.
Post-Doctoral Fellow

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.



Office: ACS Lab IIT Mandi
E-mail: debarati1984[at]gmail[dot]com
Phone: +91-1905-267184
Fax:+91-1905-267009

Neha Sharma, M.S.
Ph.D. Candidate

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.


Office: ACS Lab IIT Mandi
E-mail: medha751[at]gmail[dot]com
Phone: +91-98058-88520
Fax:+91-1905-267009

Pratik Chaturvedi, B. Tech.
Ph.D. Student

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).



Office: ACS Lab IIT Mandi
E-mail: prateek[at]dtrl[dot]drdo[dot]in
Phone: +91-9313-131129
Fax:+91-011-23812494

Dr. Ritu Kapur Khosla
Senior Project Scientist, Non-Invasive Glucometer Project (2023-present)

Dr. Ritu Kapur Khosla is a Senior Project Scientist in the Non-Invasive Glucometer Project of the Indian Knowledge System and Mental Health Applications Centre (IKSMHA) at the Indian Institute of Technology (IIT) Mandi. She received her PhD in Computer Science and Engineering from the Indian Institute of Technology Ropar, Punjab, India. She has worked as a postdoc and research fellow at the University of Sannio, Italy, and the University of Stuttgart, Germany, respectively. Her current research is focused on Digital Nose for Non-Invasive Healthcare, DevOps for Cyber-Physical Systems, software maintenance and evolution, empirical software engineering, and mining software repositories. She has received the DST Accelerate Vigyan Vritika grant, the Microsoft research travel grant, and the ACM CAPS Sigsoft grant for her research. She has served as a program committee member of international conferences in the software engineering field. She serves as a reviewer for Software Engineering journals such as the Transactions of Software Engineering and Methodology (TOSEM), Transactions of Cloud Computing (TCC), Empirical Software Engineering (EMSE), Information and Software Technology (IST), and Journal of Systems and Software (JSS).

Office: ACS Lab IIT Mandi
E-mail: ritu_khosla[at] projects[dot] iitmandi[dot]ac[dot]in, ritu[dot]kapur [at]ieee[dot]org

Gitanshu Choudhary, B.Sc, M.A.
Ph.D. Student

Gitanshu is a Ph.D. Scholar in the School of Humanities and Social Sciences at Indian Institute of Technology, Mandi. His areas of interest are cognitive psychology, human behaviour, human-computer interaction and cognitive modelling and presently he is working in the domain of Climate Change, to understand the various factors that affect people’s perception of climate and is currently developing an experimental study to understand the mitigative pattern followed by people to deal with climate change and its adverse effects.

Office: ACS Lab IIT Mandi
E-mail: nbgitanshu[at]gmail[dot]com
Phone: +91-9799-842946
Fax: +91-1905-267009

Shashank Bhargav, B.Tech, MBA
Project Technician

Shashank is a project technician currently working on the project evaluation of quantitative system pharmacology and machine learning models for blood Glucose prediction his work is to perform the R&D in the area of machine learning and deep learning.

Office: ACS Lab IIT Mandi
E-mail: shashankbhargav55[at]gmail[dot]com
Phone: +91-87700-11670
Fax: +91-1905-267009

Palvi Aggarwal, M.S.
Ph.D. Candidate

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

Office: ACS Lab IIT Mandi

E-mail: Zahid_maqbool[at] students[dot] iitmandi[dot]ac[dot]in

Phone: +91-9882-809636
Fax:+91-1905-267009

Shubham Agarwal, M.S.
Project Associate

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: https://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

Praveen Kumar, M.S. (by Research)
Ph.D. Student (2019-present)

Praveen is doing a Ph.D. in the School of Computing & Electrical Engineering, Indian Institute of Technology Mandi (IIT Mandi). He has done his M.S. (by Research) from the IIT Mandi in "Slope Movement Prediction and Early Warnings via Machine Learning Algorithms and IoT Technologies." Since 2017, Praveen has been working to provide a solution for the landslide hazard in the Himalayan region. He has developed a low-cost landslide monitoring system (LMS) that monitors landslides and records data continuously. Currently, he is developing various deep learning models that can predict the landslide movement ahead of time. His area of interest comprises Machine Learning, Deep Learning, and IoT technologies. Please visit his page for more information about his research work or if you are interested in working with this group.

Office: ACS Lab IIT Mandi
E-mail: bluecodeindia[at]gmail[dot]com
Phone: +91-1905-267184
Fax: +91-1905-267009
Research Website: praveenresearch.com
Researchgate Profile: Praveen-Kumar-20

Shruti Kaushik, M.S.
Ph.D. Student

Ms. Shruti Kaushik is currently pursuing Ph.D. in Computer Science from the Indian Institute of Technology Mandi, India. In her current research, Shruti is using healthcare data-sets to develop dimensionality reduction techniques, frequent pattern mining algorithms, and time-series forecasting algorithms to predict patient-related features. Her research interests include machine learning, data mining & visualization, and deep learning.
Office: ACS Lab IIT Mandi
E-mail: shruti_kaushik[at] students[dot]iitmandi[dot]ac[dot]in
Phone: +91-1905-267184
Fax: +91-1905-267009

Abhinav Choudhury, M.S.
Ph.D. Student

Abhinav is currently working on a project for Purdue Pharma. He primarily works in the field of Data Mining. In his project, he is mining prescription histories, referral patterns of doctors/physicians to create a social network. Then using Social Network Analysis techniques he is trying to find Key Opinion Leaders in the Pharmaceutical Sector. His areas of interest include Machine Learning and Data Mining.

Office: ACS Lab IIT Mandi
E-mail: abhinav_choudhury[at] students[dot]iitmandi[dot]ac[dot]in
Phone: +91-1905-267184
Fax: +91-1905-267009

Ankush Pathania, B.Tech
M.S. Student

Ankush is an Electrical Engineer graduated from Himachal Pradesh University, Himachal Pradesh India. Presently, he is working in the project named “Landslide Monitoring and Early Warning System.” Here, he is involved in the development and deployment of the landslide monitoring and early warning system. Furthermore, he is included in the site selection for the system deployment and risk communication. He is interested in the field of renewable energy, power system, and artificial intelligence.

Office: ACS Lab IIT Mandi
E-mail: ankushpathania.ap[at]gmail[dot]com
Phone: +91-78070-56029
Fax: +91-1905-267009

Tushar Saini, B.Tech
M.S. Student

Tushar is an M.S. student in the School of Computing & Electrical Engineering, Indian Institute of Technology Mandi. He has done his B.Tech from HMR Institute of Technology & Management, (IP University) Delhi. As part of Applied Cognitive Science Laboratory, he is doing his research work in the field of IoT and ML (Time series forecasting). He has been involved in developing a MEMS-based IoT system which monitors air pollution levels. He is working on a project funded by DEST, Government of Himachal Pradesh. His area of interest comprises Machine Learning, Deep Learning and Artificial Intelligence.

Office: ACS Lab IIT Mandi
E-mail: S19011[at]students[dot]iitmandi[dot]ac[dot]in
Phone: +91-85278-13441
Fax: +91-1905-267009

Akanksha Singh
PhD Scholar, IIT Mandi

Akanksha Singh is an agriculture graduate from Banaras Hindu University. She is currently pursuing her PhD at IIT Mandi, where her research focuses on developing simulation tools for farmers better to understand climate change patterns and their impacts on agriculture. Akanksha aims to contribute to sustainable agricultural practices by integrating climate adaptation and mitigation strategies, with a particular focus on assisting farming communities in navigating the challenges posed by climate variability.
E-mail: sakanksha660@gmail.com

Harsh Katakwar, B.Tech
M.S. Student

Harsh is an MS student in School of computing and electrical engineering at Indian Institute of Technology, Mandi. He did his B.E. from OP Jindal Institute of technology, Raigarh. His areas of interest are Machine learning, Cyber-security and cognitive science. Currently, he is working on a project from DST, Government of India, in which he is building a game theoretic approach involving experimentation and computational modelling of hacker’s decisions using deception in Cyber Security.

Office: ACS Lab IIT Mandi
E-mail: katakwarharsh[at]gmail[dot]com
Phone: +91-70670-11117
Fax: +91-1905-267009

Shashank Uttrani, B.Engg.
M.S. Student

Shashank is an MS student in School of Computing and Electrical Engineering at Indian Institute of Technology Mandi. He completed his Bachelors of Engineering from Birla Institute of Technology Mesra in Computer Science. His areas of interest are Human-Computer Interaction, Cognitive Science and Cybersecurity. As a part of his research, he is working on a project from DST, Government of India, on Deception Techniques in cybersecurity using honeypots.

Office: ACS Lab IIT Mandi
E-mail: shashankuttrani[at]gmail[dot]com
Phone: +91-8696-123816
Website: shashank.acslab.org

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).


Thapar University:Final Year Student - ComputerScience, B.tech.
Phone: +91-9888-031031
E-mail: vardaansangar[at]gmail[dot]com

Akanksha Jain, M.S.
Intern

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.



Phone: +91-9571-224368
E-mail: ajain0150[at]gmail[dot]com

Sushmita Negi, M.S.
Intern

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).


Phone: +91-9462-401225
E-mail: tushargahlotra[at]gmail[dot]com

Surendera Singh, M.S.
Intern

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).

Phone: +91-9785-316938
E-mail: surendra[dot]singh0912[at]gmail[dot]com

Contact Us!

Phone

Dr. Varun Dutt

+91-1905-267184

+91-1905-267009

Email

varun@iitmandi.ac.in

Address

Applied Cognitive Science Laboratory

School of Computing and Electrical Engineering

School of Humanities and Social Science

IIT Mandi, Parashar Road, Tehsil Sadar Kamand

Himachal Pradesh 175005

India