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Master's and Doctoral Celebration 2020

 

Master's & Doctoral Celebration 2020

Congratulations and welcome—graduating students, family, and friends!

In honor of our 141 master's degree recipients and 28 doctoral degree recipients this year, we have created this collection of celebrations and reflections looking back at everyone's accomplishments.

We're glad you are here to join in the celebration.

Dean's Message

Dean Laura Haas begins our celebration with a look back at what our students have achieved, a shout-out to family and friends, and some thoughts about how our newest alumni can use their advanced superpowers for good.
Watch on YouTube »

Faculty & Staff Congratulations

No one (except maybe their families) could be prouder of our graduate degree recipients than the faculty and staff of CICS who have worked with them on so many projects, papers, and advanced studies. Graduates—before you go, we want to tell you how extraordinary you are.

Class Presentation

Hello, world! We proudly present the UMass Amherst College of Information and Computer Sciences Class of 2020.

Master's Graduates

  • Yash Adhikari
  • Deepshikha Adhikari
  • Ravi Agrawal
  • Sohaib Ahmad
  • Evan M. Albright
  • Sneha Reddy Aenugu
  • Thomas Aurigemma
  • Berett Chase Babrich
  • Wonho Bae
  • Kunal Ajay Bajpai
  • Kamesh Balasubramanian
  • Manisha Kumari Barnwal
  • Connor Basich
  • Akshita Bhagia
  • Yashovardhan Bidasaria
  • Rafal Bielech
  • Bryce K. Bodley-Gomes
  • Yuchen Cai
  • Yi-Pei Chen
  • Sai Saran Chintha
  • Corey Evan Clemente
  • Xiaohan Ding
  • Arun M. Dunna
  • Cheng-Yin Eng
  • Emily Jane First
  • Yi R. Fung
  • Nicholas Galang
  • Shyla Gangwar
  • Ge Gao
  • Yanjie Gao
  • Deepali Garg
  • Hia Ghosh
  • Ameya Godbole
  • Zhiyu Gong
  • William Goss
  • Ziqiang Guan
  • Rishabh Gupta
  • Muhammad Adeel Hassan
  • Ziwei He
  • Deokgi Hong
  • Li Hong
  • Chenhao Huang
  • Jianyi Huang
  • Wenjun Huang
  • Jagath Jai Kumar
  • Nishank Jain
  • Shruti Jalan
  • Vasishtha Sriram Jayapati
  • Hangyan Jiang
  • Huaizu Jiang
  • Praful Johari
  • Eric Johnson
  • Akhila Josyula
  • Rajvi Nikhil Kapadia
  • Nidhi Prakash Kargathra
  • Pooya Khaloo
  • Aswin Kolli
  • James Evan Kostas
  • Bryon Anthony Kucharski
  • Jayath Jai Kumar
  • Ritesh Kumar
  • Madison Rose Laethem
  • Alexander Lamson
  • Kun Li
  • Renjie Li
  • Zhou Li
  • Mei Jing Lim
  • Che-Ting Lin
  • Difan Liu
  • Yueying Liu
  • Chuanpu Luo
  • Yirou Luo
  • Pratheek Prabhakar Mallya
  • Abhishek Mandal
  • Monica Munnangi
  • Sahil Mishra
  • Hamid Mozaffari
  • Sreeparna Mukherjee
  • Kriti Myer
  • Mohamed Gamal Abdelaty Hafez Ahmed Nabail
  • Ganesan Vignesh Naranammalpuram
  • Bharath Sivaram Narasimhan
  • Subhajit Naskar
  • Trung Tan Nguyen Ba
  • Craig B. Norton
  • Julian A. Oks
  • Brandon Richard Oubre
  • Thomas H. Palaschak
  • Aarsh Patel
  • Rohan Paul
  • Kieu My Phan
  • Donald John Pinckney
  • Sandeep Polisetty
  • YangJunqing Qiao
  • Chen Qu
  • Aartika Rai
  • Shiva Ramezani
  • Amir Ramtin
  • Isha Raut
  • Seyedeh Arta Razavi
  • Subendhu Rongali
  • Liam Rothschild-Shea
  • Evan Timothy Rourke
  • Gourav Saha
  • Soumya Saha
  • Sheikh Muhammad Sarwar
  • Swarup Satish
  • Aditya Ashwinikumar Sathe
  • James C. Schofield
  • Joshua Sennett
  • Keshav Seth
  • Vatsal Haresh Shah
  • Fathima Zeina Shahid
  • Abhishek Sharma
  • Shikhar Sharma
  • Varun Sharma
  • Mark Aaron Slater
  • Neil C. Sparks
  • Derek Pik-Sung Tam
  • Jane Tangen
  • Chandler John Tayek
  • Anubha C. Thandlay
  • Clayton William Thorrez
  • William Toohey
  • Nicolas Tutuianu
  • Akshit Tyagi
  • Deh-Jun Tzou
  • Angela Upreti
  • Shanu Vashishtha
  • Ajay Venkitaraman
  • Juexing Wang
  • Zhangyu Wang
  • Zihang Wang
  • Chulabhaya Kanchana Wijesundara
  • Zhouxiao Wu
  • Wei Xie
  • Bochen Xu
  • Tong Xu
  • Zhan Xu
  • Nishant Yadav
  • Meghana Yadavalli
  • Chung-Ting Yang
  • Satya Surya Venkata Sasi Kiran Yelamarthi
  • Yu-Chun Yen
  • Weiqiu You
  • Kung-Wen Yu
  • Ronak P. Zala
  • Jin Zhang
  • Jiaming Zhao
  • Run Zhu
  • Nan Zhuang
  • Anna Fariha

     

     

     

Doctoral Graduates

  • Qingyao Ai
    Advisor: W. Bruce Croft
    Neural Generative Models and Representation Learning for Information Retrieval
  • Garrett Scott Bernstein
    Advisor: Daniel Sheldon
    Differentially Private Noise-Aware Inference via Sufficient Statistics Perturbation
  • Pia Bideau
    Advisor: Erik Learned-Miller
    Motion Segmentation - Segmentation of Independently Moving Objects in Video
  • Kimberly J. Ferguson
    Advisor: Brian Levine
    An Empirical Assessment of the Effectiveness of Deception for Cyber Defense
  • Richard G. Freedman
    Advisor: Shlomo Zilberstein
    Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems
  • Francisco Maximiliano Garcia
    Advisor: Phil Thomas
    Improving Reinforcement Learning Techniques by Leveraging Prior Experience
  • Vani Gupta
    Advisors: Prashant Shenoy and Ramesh Sitaraman
    Energy-Aware Algorithms for Greening Internet-Scale Distributed Systems Using Renewables
  • Nicholas Alexander Jacek
    Advisor: Benjamin Marlin
    Optimization and Training of Generational Garbage Collectors
  • Souyoung Jin
    Advisor: Erik Learned-Miller
    Improving Face Clustering in Videos
  • Hee-Tae Jung
    Advisor: Sunghoon Ivan Lee
    Game-Assisted Rehabilitation for Post-Stroke Survivors
  • John P. Lalor
    Advisor: Hong Yu
    Learning Latent Characteristics of Data and Models using Item Response Theory
  • Stephen Lee
    Advisor: Prashant Shenoy
    Software-Defined Infrastructure for IoT-based Energy Systems
  • Cheng-Xian Li
    Advisor: Benjamin Marlin
    Learning from Irregularly-Sampled Time Series Data
  • Tsung-Yu Lin
    Advisor: Subhransu Maji
    Higher-Order Representations for Visual Recognition
  • Mark McCartin-Lim
    Advisor: Andrew McGregor
    Tools for Tutoring Theoretical Computer Science Topics
  • Clemens GB Rosenbaum
    Advisor: Sridhar Mahadevan
    Dynamic Composition of Functions for Modular Learning
  • Aruni RoyChowdhury
    Advisor: Erik Learned-Miller
    Improving Visual Recognition with Unlabeled Data
  • Emma Taylor Strubell
    Advisor: Andrew McCallum
    Machine Learning Models for Efficient and Robust Natural Language Processing
  • Hang Su
    Advisor: Erik Learned-Miller
    Deep Neural Networks for 3D Processing and High-Dimensional Filtering
  • Aditya Sundarrajan
    Advisor: Ramesh K. Sitaraman
    Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery
  • Keen Yuun Sung
    Advisor: Brian Levine
    The Bounds of Mobile Location Privacy
  • Takeshi Takahashi
    Advisor: Roderic Grupen
    Efficient Self-supervised Deep Sensorimotor Learning in Robotics
  • Patrick W. Verga
    Advisor: Andrew McCallum
    Extracting and Representing Entities, Types, and Relations
  • Kevin Anthony Winner
    Advisor: Daniel Sheldon
    Probabilistic Inference with Generating Functions for Population Dynamics of Unmarked Individuals
  • Liu Yang
    Advisor: W. Bruce Croft
    Response Retrieval in Information-seeking Conversations
  • Hamed Zamani
    Advisor: W. Bruce Croft
    Neural Models for Information Retrieval without Labeled Data
  • Jiaping Zheng
    Advisor: Hong Yu
    Computational Approaches to Assisting Patients Medical Comprehension from Electronic Health Records