Arindam Paul

Research Statement and Objective

I study how to accelerate materials discovery using machine learning. My research draws from the fields of machine learning, computational materials science, neural networks and cheminformatics. I am actively seeking a research internship for Spring or Summer 2017.

Interests

Machine Learning, Data Mining, Natural Language Processing, Deep Learning, Materials Informatics, Sentiment Analysis, Social Media Analysis

Education

Northwestern University, Evanston, Illinois

Northwestern University, Evanston, Illinois

Birla Institute of Technology & Science, Pilani, Rajasthan India

Birla Institute of Technology & Science, Pilani, Rajasthan India
  • Bachelor of Engineering (Graduated with Honors) in Chemical Engineering, 2010
  • Thesis: Detecting Sybil Attacks in P2P networks using Psychometric Analysis
  • Advisor: Prof. K. Haribabu

Publications

A. Paul,A.Agrawal, W.Liao and A.Choudhary. AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries. Workshop on Sentiment Discovery and Opinion Mining at 22nd ACM Conference on Knowledge Discovery and Data Mining,2016cd

J.Birnholtz, N.A.R. Merola, and A. Paul. "Is it Weird to Still Be a Virgin?": Anonymous, Locally Targeted Questions on Facebook Confession Boards. ACM Conference on Human Factors in Computing Systems 2015.

A. Paul, Varuni G., J.S. Challa and Y. Sharma HADCLEAN: A Hybrid Approach for Data Cleaning Techniques in Data Warehouses, IEEE International Conference on Information Retrieval and Knowledge Management(CAMP) 2012

K Haribabu, C.Hota and A. Paul GAUR: A Method to Detect Sybil Groups in Peer-to-Peer Overlays, International Journal of Grid and Utility Computing 2012, Vol.3

A. Paul, J.S. Challa, Y.Dada, V.Nerella, P.R. Srivastava and A.P.Singh Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach, Journal of Information Processing Systems (JIPS) 2011 Volume 7

A. Paul ,J.S. Challa,Y. Dada, V. Nerella, P.R. Srivastava Quantification of Software Quality Parameters using Fuzzy Multi-Criteria Approach, IEEE International Conference on Process Automation Control and Computing (PACC) 2011

A. Paul,K Haribabu and C. Hota Detecting Sybils in Peer-to-Peer Overlays using Psychometric Analysis Methods, IEEE International Conference on Advanced Information Networking and Applications(AINA) 2011

Professional Experience

Boeing Narus Inc.: Summer Research Intern 2013
  • Understanding Collaboration Among Online Advertising and Analytics Services
  • Observed multiple 3rd-party services sharing user’s private information with each other
  • Investigated how these services use means to obfuscate this parameter sharing

Information Processing Center BITS Pilani: Database Admin 2011
  • Worked on Data mining and Data Warehousing tools used over Oracle 11g
  • Developed a customized version of Moodle 1.9/2.0 over LAMP stack for the university On-Campus Course Management System

National Thermal Power Corporation,Delhi: Summer Intern 2008
  • Studied water treatment processes and recommended improved water treatment measures
  • Prepared research design and surveys to study effects of pollution from the plant as part of the Environment Management Group

Fellowships

  • Merit-cum-Need Scholarship, during last 3 years of undergrad
  • Walter P. Murphy Fellowship, during 1st year of PhD
  • Segal Design Cluster Fellowship, during 3rd year of PhD
  • Predictive Science & Engineering Design Cluster Fellowship, during 5th year of PhD

Awards & Achievements

  • Among 10 doctoral students across Northwestern selected for summer-long Research Communication Seminar Course, 2016
  • All India Rank 1 in BITS HDSAT (admission test for graduate programs at BITS Pilani)
  • All India Rank 64 & State Rank 9 in National Science Olympiad among more than half million participants during freshmen year of high-school
  • Recipient of BITS Pilani Merit-cum-Need Scholarship during last 3 years of undergraduate study

Certifications

Selected Course Projects

  • Developed a Sentiment Analysis Tool to find the most interesting or controversial events at the 2013 Golden Globe Awards from user-Tweets (Python)
  • Developed a tool which uses Natural Language Processing techniques to find the most interesting or controversial events at the 2013 Golden Globe Awards from user-Tweets (Python)
  • Developed Sudoku & Othello solver using constraint satisfaction and min-max algorithms using efficient tree-based data structures and algorithms (C++)
  • Implemented a fully distributed event detection mechanism by utilizing a Kademlia-based DHT overlay network (Go)
  • Developed a web application to track a portfolio of a user’s stocks. Used data mining techniques to analyze and predict stock and portfolio performance using historical data. (Perl, SQL)

Selected Side Projects

  • Developed a tool which creates a recommendation system using ElasticSearch(Lucene) for shopping based on ”I just bought” Amazon tweets of users (Python)
  • Developed a real-time tool starts an alarm when a designated bus is ’x’ (customizable) min away from the closest bus stop by scraping CTA bus tracker webpage (Python)
  • Developed a web-automation & scraping tool which collects past news articles from the web. Used OCR recognition for getting the text from old articles (Python)

Computer Skills

  • Proficient: Python, C, C++, Java, PHP, Perl, Selenium, LAMP, Go, VB, mySQL,weka
  • Familiar: R, Gephi, Javascript, html,css, MATLAB, Hadoop, Mahout, OpenMP, MPI, .NET, Oracle, MS- SQL Server

Leadership

  • President(2014-16), Northwestern University Cricket Club
  • President(2016-) and Treasurer(2015-16), Northwestern SpeakEasy Toastmasters Club
  • Facilitator(2016-17), Northwestern Multicultural Dialogue Group
  • Student Coordinator(2016-17), Northwestern Predictive Science & Engineering Design)
  • STEM Liaison(2014-2015), Northwestern Ethnic Students Group

Teaching and Outreach

  • Instructor, Transferable Skills Workshop on Machine Learning
  • Lecturer (and TA) for Introduction to Programming, Northwestern, Winter 2015
  • Lecturer (and TA) for Introduction to Programming, Northwestern,Winter and Spring 2014
  • TA for Data Structures, Northwestern,Fall 2015
  • Guest Lecturer for Social Media Mining, Northwestern,Spring 2016
  • TA for Database Systems, BITS Pilani, Spring 2012
  • Instructor and Mentor, Brave Initiatives

Research Mentorship

  • Debanjan Borthakur, Graduate Student, University of Rhode Island
  • Sean Chan, Undergraduate Student, Northwestern
  • Tirtha Sarathi Ghosh, Undergraduate Student, Jadavpur University, India
  • Indervir Singh, Undergraduate Student, BITS Pilani

Service

  • Student volunteer at ACM CSCW 2014 Program Committee
  • Peer Reviewer for ICDM 2016 Conference and Workshops
  • Peer Reviewer for InfoComm 2013
  • Peer Reviewer for AIAA 2016

References (on request)

  • Dr. Alok Choudhary - Professor of EECS (Northwestern University)
  • Dr. Doug Downey - Associate Professor of EECS (Northwestern University)
  • Dr. Oliver Cossairt - Assistant Professor of EECS (Northwestern University)
  • Dr. K. Haribabu - Assistant Professor of CSIS (BITS Pilani)