Ph.D. Computer Science and Engineering (CSE), GPA: 3.9/4.0

Dissertation Title: Modeling and mining of multi-aspect graphs with scalable streaming tensor decomposition

Committee: Dr. Vagelis Papalexakis (Advisor), Dr. Christos Faloutsos, Dr. Jiasi Chen, and Dr. Eamonn Keogh

Courses Taken:

• • • • • Core Courses

          • Design and Analysis of Algorithms (CS 218), Advanced Computer Architecture (CS 203)

        • Depth Courses

          • Data Mining (CS 235), Machine Learning (CS 229)

        • Breath Courses

          • Scientific Computing(CS 210) and Advanced Verification Techniques (CS 246)

        • Elective Courses

          • Seminar in Deep Learning(CS 260 003), Database Management and Systems (CS 236) and Computational Methods for Bio-molecular Data (CS 234)

        • Professional Courses : Apprentice Teaching (CS 302) and Directed Research(CS 297)

B.Tech: Electronics and Communication Engineering ,GPA: 3.86/4.0 (1^stRank)

Courses Taken:

• • • • • Network Analysis and Synthesis (ECE303)

        • Linear Control Systems (ECE402)

        • Data Structures (ECE304)

        • Operating Systems (ECE601)

        • Wireless Communication (ECE602)

        • Computer Networks (ECE702)

M. Tech Telecommunication and System Engineering (TSE), GPA: 9.7/10

Courses Taken:

• • • • • Advanced Digital Communication & Information System (WTS101)

        • Advanced Data Communication Networks (WTS201)

        • Random Variable And Stochastic Process (WTS205)

        • GSM And CDMA Systems (TELE645)

        • Advanced Information and Network Security (TELE703)

        • Detection & Estimation Theory (WTS102)

        • Advanced Computer Networks(TELE456)