Rajat Tandon

Rajat is a Computer Science PhD student at University of Southern California (USC), working as a Graduate Research Assistant under Dr. Jelena Mirkovic at the Information Science Institute (ISI).

PhD Advisors : Dr. Jelena Mirkovic and Dr. Genevieve Bartlett

Email: tandon@isi.edu ; rajattan@usc.edu


Current Project

  • FRADE: Flash cRowd Attack DEfense scheme
  • LEADER: Low-Rate Denial-of-Service Attacks Defense
  • Work Experience

    • Samsung R&D Institute, Bangalore, India          [July 2013 - July 2016]

        Role: Senior Software Engineer [Advanced Technology Labs]         Mar 2015 - July 2016
        Role: Software Engineer [Advanced Technology Labs]                    July 2013 - Feb 2015

        Research Projects at Samsung:

      • Alter Ego (Team of 20)
        Smart Action Reminder(SAR): Processes conversations and draws inferences using contextual information, performs temporal/spatial reasoning, semantic analysis and intent     recognition generates reminders.
        Note-to-Self (N2S) : Processes notes, performs temporal/spatial reasoning, generates reminders.
        Developed the Dependency Relation Manger for English and French languages.
        Developed Semantic Frame Manager, an integral part of core NLU Engine Technology to process each sentence.
        One version of the project is released as an app on google playstore - Jifical

       • Personalized Text To Speech (PTTS) (team of 5): Produce speech in any human voice given few speech samples, using Voice Morphing & Speaker Adaptation approaches.

    • Schneider Electric India Pvt. Ltd., Bangalore, India          [Jan 2013 - May 2013]

        Role: Software Engineer Intern

        -Developed a Windows based Mobile Application, called Historian Mobile Client, an automated tool, which triggers events and alarms to help the Process Engineers analyze the      plant performance.
        -Developed an option using which the Engineers can enquire about the functioning of any Schneider Plant.
        -Received appreciation for the flexibility provided to Engineers to be informed about the defects, faults or equipment failures immediately irrespective of location.
        -Eliminated dependency to manually monitor Historian data; provided option to generate custom reports.

    • IBM India Pvt. Ltd., Gurgaon, India          [June 2011 – July 2011]

        Role: Software Engineer Intern

        -Developed a Sales Analytics tool for the IBM Sales Managers, to generate customized MS Excel reports.
        -Implemented the back end utilizing database concepts, SQL queries, and MS Access.
        -Developed the code and front end-backend connectivity using MS Visual Basic (embedding queries in VB code).
        -Improved overall efficiency by 83%, by reducing the amount of work done in 6 hours to just half an hour task.


  • Extracting Episodic Memory from Unstructured Text - United States Patent Number: US14/626144
         Issued: February19, 2015
  •       A system where any device (e.g. personal assistant) that is aware of a user’s episodic memory, would communicate more effectively, by allowing to refer to specific events/content      without necessarily providing specific locations/times.

  • A method for automatically converting Notes-to-Self (N2S) to action reminders - United States Patent Number: US15/143070
  •      Issued: April 27, 2016
         N2S analyzes notes (in free-form/natural language/template free) input by the user with the help of Natural Language Understanding and Context awareness, and converts them      into action reminders for the user.


       • R. Tandon & R. Tandon, Algorithm to Compute Cubes of 1st “N” Natural Numbers Using Single Multiplication Per Iteration, International Journal of Computer Applications, 2014.
       • R. Jain, R. Dutta, & R. Tandon, "Clear, Concise and Effective UI: Opinion and Suggestions. ", arXiv:1409.3993 [cs.HC], 2014.
       • R. Tandon, "Algorithm to Compute Squares of 1st “N” Natural Numbers Without Using Multiplication.", arXiv:1212.5645 [cs.DS], 2012.
       • R. Tandon, "Digital Security at Workplace", Schneider Electric White Paper Contest 2013.
       • R. Tandon, S. Jain, C. Jain, S. Shenoy, "Detecting Comment Spam in YouTube", Manipal Paper Contest, 2012.