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PhD Student, Computer Science

Tempe, AZ

kaustav.basu@asu.edu

Curriculum Vitae


About

Hello, and welcome to my webpage. I am a PhD student at the Laboratory for Networked Existence (NetXT) at Arizona State University, under the supervision of Dr. Arunabha Sen. Prior to joining ASU, I completed my Bachelor's and Master's degrees in Computer Science, from St. Xavier's College, Kolkata, India. I am an avid sports fan, with soccer and basketball being my favorite sports. I love traveling, photography and music. Check out the countries I have visited in the map below (just getting started). You can create a map of your own here. Also, check out a few of my clicks on my Instagram account (link below).


Interests

My interests lie in the domains of Graph Theory and Optimization. I am currently working on identifying sources of anomaly in complex real-world networks, utilizing the mathematical concept of Identifying Codes. A few examples would include, (i) identification of the sources of misinformation propagation in social networks, (ii) monitoring terrorist networks, (iii) Monitoring the health of critical power system equipments, etc. One key aspect premise is the accurate detection of anomalies in networks. As a result, I am currently working on the development of novel anomaly (broadly speaking) detection algorithms, by utilizing deep learning methodologies. Furthermore, as a side project, I am a part of a team, currently working on developing various analytical models to combat the Opioid epidemic by generating future heat maps of the Opioid incidences accurately.


Education

Arizona State University, Tempe
2016 - Current

PhD in Computer Science
CGPA: 3.81/4.00


St. Xavier's College, Kolkata
2014 - 2016

Master's Degree in Computer Science
CGPA : 8.58/10.00


St. Xavier's College, Kolkata
2011 - 2014

Bachelor's Degree in Computer Science
CGPA: 7.81/10.00



Publications

Journal

2021

Kaustav Basu and Arunabha Sen, "Identifying Individuals Associated With Organized Criminal Networks: A Social Network Analysis", Social Networks 64 (2021): 42-54. [PDF]

2020

Malhar Padhee, Reetam Sen Biswas, Anamitra Pal, Kaustav Basu, and Arunabha Sen, "Identifying Unique Power System Signatures for Determining Vulnerability of Critical Power System Assets." ACM SIGMETRICS Performance Evaluation Review 47, no. 4 (2020): 8-11.

2018

Joydeep Banerjee, Kaustav Basu, Arunabha Sen, "Analysing Robustness in Intra-Dependent and Inter-Dependent Networks Using a New Model of Interdependency", International Journal of Critical Infrastructures, Vol. 14, No. 2, PP: 156-181.

Joydeep Banerjee, Kaustav Basu, Arunabha Sen, "On Hardening Problems in Critical Infrastructure Systems", International Journal of Critical Infrastructure Protection, Vol. 22.

Chenyang Zhou, Anisha Mazumder, Arun Das, Kaustav Basu, Navid Matin-Moghaddam, Saharnaz Mehrani, Arunabha Sen, "Relay Node Placement Under Budget Constraint", Pervasive and Mobile Computing 53 (2019): 1-12.


Conference

2020

Sailik Sengupta, Kaustav Basu, Arunabha Sen, and Subbarao Kambhampati, "Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments." In International Conference on Decision and Game Theory for Security, pp. 241-253. Springer, Cham, 2020. [PDF]

Arunabha Sen, Sandipan Choudhuri, and Kaustav Basu, "Structural Dependency Aware Service Chain Mapping for Network Function Virtualization." In 2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020, pp. 1-6. IEEE, 2020.

2019

Arunabha Sen and Kaustav Basu, "On Connectivity of Interdependent Networks", In 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2019.

Kaustav Basu and Arunabha Sen, "Monitoring Individuals in Drug Trafficking Organizations: A Social Network Analysis", In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 480-483. IEEE, 2019. [PDF]

Kaustav Basu and Arunabha Sen, "On Augmented Identifying Codes for Monitoring Drug Trafficking Organizations", In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 1136-1139. IEEE, 2019. [PDF]

Kaustav Basu, "Identification of the Source(s) of Misinformation Propagation Utilizing Identifying Codes", PhD Consortium, WWW 2019 [PDF]

Kaustav Basu, Sanjana Dey, Subhas Nandy, Arunabha Sen, "Sensor Networks for Structural Health Monitoring of Critical Infrastructures Using Identifying Codes", IEEE DRCN 2019 [PDF]

Arunabha Sen, Victoria H. Goliber, Kaustav Basu, Chenyang Zhou, Sumitava Ghosh, "On Upper and Lower Bounds of Identifying Code Set for Soccer Ball Graph with Application to Satellite Deployment", ICDCN 2019 [PDF]

2018

Kaustav Basu, Chenyang Zhou, Victoria H. Goliber, Arunabha Sen, "A Novel Graph Analytical Approach to Monitor Terrorist Networks", IEEE SocialCom 2018 [PDF]

Kaustav Basu, Sandipan Choudhuri, Arunabha Sen, Aniket Majumdar, Dipak Dey, "Identification of At-Risk Groups for Opioid Addiction Through Web Data Analysis", epiDAMIK Workshop @ KDD 2018 [PDF]

Kaustav Basu, Malhar Padhee, Sohini Roy, Anamitra Pal, Arunabha Sen, Matthew Rhodes, Brian Keel, "Health Monitoring of Critical Power System Equipments using Identifying Codes", CRITIS 2018 Best Paper Award [PDF]

Malhar Padhee, Joydeep Banerjee, Kaustav Basu, Sohini Roy, Anamitra Pal, Arunabha Sen, "A New Model to Analyze Power System Dependencies", IEEE TPEC, PP: 1-6

Chenyang Zhou, Anisha Mazumder, Arun Das, Kaustav Basu, Navid Matin-Moghaddam, Saharnaz Mehrani, Arunabha Sen, "Relay Node Placement Under Budget Constraint", ACM ICDCN, P: 35

Arunabha Sen, Victoria Goliber, Chenyang Zhou, Kaustav Basu, "Terrorist Network Monitoring Using Identifying Code", Accepted at SBP-BRIMS


2017

Sandipan Choudhuri, Kaustav Basu, Arunabha Sen, "User Satisfaction-Driven Bandwidth Allocation for Image Transmission in a Crowded Environment", IEEE MMTC Communications Frontiers, Vol. 12, No. 6, PP: 52-57


2015

Anal Acharya, Devadatta Sinha, Anurag Sarkar, Dibyabiva Seth, Kaustav Basu, "A 'Mixed' Approach to Smart Group Formation in Collaborative Learning", SmartCR, Vol. 5, No. 6, PP: 483-497

Anurag Sarkar, Dibyabiva Seth, Kaustav Basu, Anal Acharya, "A New Approach to Collaborative Group Formation", International Journal of Computer Applications, Vol. 128

Rana Biswas, Romit Beed, Dibyabiva Seth, Proyag Pal, Kaustav Basu, Triparna Mukherjee, "Traffic Rule Violation Information System TRuVIS", International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, PP:1134-1139

Kaustav Basu, Prabal Banerjee, Proyag Pal, "An Inexpensive Wearable Android Accessory", International Journal of Advanced Research in Computer Science, Vol. 6, P: 94


Experience

Research Assistant
Laboratory for Networked Existence
2017 - Current

Currently developing novel algorithms for the unique detection of sources of anomalies in complex networks, by utilizing the mathematical concept of Identifying Codes. Examples of anomalies would include: fake news and cyber bullying on social networks, drug dealing and terrorism related activities, failures in critical infrastructure networks, etc. Additionally, my colleague and I are working with the Arizona state goverment for the development of analytical tools to predict future location of Opioid incidences.


Teaching Assistant
School of Computing, Informatics and Decision Systems Engineering
2016 - 2017

TA for the following undergraduate courses: Software Engineering, Programming in C, C++, Scheme and Prolog, and Game Development. TA for the following graduate courses: Foundations of Algorithms and Data Mining.