Current Members


Faculty

Ph.D. Students

M.S. Students

Alumni


Ph.D. Students

M.S. Students

  • Aryan Singh
    MS Computer Science (Summer 2024)
    MS Capstone - Container Orchestration Using AI
  • Cinto Alapatt
    MS Computer Science (Spring 2024)
    MS Capstone - Risk Aware Drone Route Planning in Real-World Environments
  • Abhishek Shah
    MS Computer Science (Spring 2024)
    MS Capstone - Podcast Digest: Summarizing Audio Stories
  • Pranali Divekar
    MS Computer Science (Spring 2024)
    MS Capstone - Intelligent Caching for Scalable Content Delivery
  • Kruthi Nagabhushan
    MS Computer Science (Spring 2024)
    MS Capstone - Pose Estimation for Workout Tracking
  • Krishna Margali Goparapu
    MS Computer Science (Fall 2023)
    MS Capstone - Deep Learning Innovations in Facial Analysis: Streamlined Approaches For Expressions and Gender Detection
  • Noopur Phadkar
    MS Computer Science (Fall 2023)
    MS Capstone - Podify: A Podcast Recommendation System
  • Axel Campero Vega
    MS Computer Science (Fall 2023)
    MS Capstone - Early Warning Forest Fire System for Bolivia
  • Manoj Palasamudram
    MS Computer Science (Fall 2023)
    MS Capstone - Load Balancing for Read-Heavy Microservices
  • Ami Mandekar
    MS Computer Science (Spring 2023)
    MS Capstone - Federated Learning - Handling Data Heterogeneity in Homomorphic Encryption
  • Sneha Rohra
    MS Computer Science (Spring 2023)
    MS Capstone - Federated Learning: Reducing Overhead in Homomorphic Encryption
  • Will Merges
    MS Computer Science (Fall 2022)
    MS Capstone - Multikernel Operating Systems for Multiprocess Workloads
  • Ria Lulla
    MS Computer Science (Fall 2022)
    MS Capstone - Music Genre Classification using Transformer Model
  • Abhishek Inamdar
    MS Computer Science (Spring 2022)
    MS Capstone - Solving Maximum Flow Problem with a Quantum Annealer
  • Khushal Pujara
    MS Computer Science (Spring 2022)
    MS Capstone - Lending Protocol Using NFTs as Collateral
  • Monisha Gowda
    MS Computer Science (Spring 2022)
    MS Capstone - Function Timeouts in Heterogenous Serverless Computing
  • Prasanna Mahesh Bhope
    MS Computer Science (Spring 2022)
    MS Capstone - Edge-Cloud Based Video Processing System For Face Recognition
  • Sandeep Palav
    MS Computer Science (Spring 2022)
    MS Capstone - Improving BERT Performance for Text Classification
  • Suhas Chikkanaravangala Vijayakumar
    MS Computer Science (Spring 2022)
    MS Capstone - SQL on Cached Object with Ruby on Rails
  • Rohit Girijan Kunjilikattil
    MS Computer Science (Fall 2021)
    MS Capstone - Detection of Fake news using Neural Networks and a combination of classification models
  • Abhilekh Sunil Chaudhari
    MS Computer Science (Fall 2021)
    MS Capstone - Spot instances and intelligence system
  • Gagan Hedge
    MS Computer Science (Fall 2021)
    MS Capstone - Go-Deploy: An End-to-End Cluster Deployment Tool
  • Akhil Karrothu
    MS Computer Science (Fall 2021)
    MS Capstone - Benchmarking various deployment strategies on AWS
  • Yash Kishore Karia
    MS Computer Science (Fall 2021)
    MS Capstone - High-Performance transaction system on cloud
  • Saurabh Shukla
    MS Computer Science (Fall 2021)
    MS Capstone - A framework for dynamic analysis of COVID-19 data
  • Sheenam Bhatia
    MS Computer Science (Fall 2021)
    MS Capstone - Cloud Computing Forensic
  • Prashanth Kumar Purshotam
    MS Computer Science (Summer 2021)
    MS Capstone - Exploring Near Real Time Search of Big Log Data Using Elasticsearch
  • Omkar Sundeep Vaidya
    MS Computer Science (Summer 2021)
    MS Capstone - Document Classification Using Deep Learning
  • Vishvesh Karwa
    MS Computer Science (Summer 2021)
    MS Capstone - Distributed Caching in Large-scale Networks
  • Sowrabh Chandraa Nandamuri
    MS Computer Science (Spring 2021)
    MS Capstone - Machine Learning Job Distribution Based on Profiling of TensorFlow Jobs
  • Saral Nyathawada
    MS Computer Science (Spring 2021)
    MS Capstone - Benchmarking and Evaluation of Popular Deep Learning Frameworks
  • Soumil Pramod Sarvaiya
    MS Computer Science (Spring 2021)
    MS Capstone - Performance Improvement of Checkpointing in PyTorch
  • Tejas Subhash Raval
    MS Computer Science (Spring 2021)
    MS Capstone - Identifying Key Sharing on SNI Enabled Domains
  • Sreevatsa Vadiraj
    MS Computer Science (Fall 2020)
    MS Capstone - Evaluating Machine Learning and Big Data Analytics Models on IHK/McKernel Lightweight Kernel
  • Manika Kiran Ganjale
    MS Computer Science (Fall 2020)
    MS Capstone - Exploring Lightweight Kernel for Next-Generation Data Center Workloads
  • Ishan Guliani
    MS Computer Science (Fall 2020)
    MS Capstone - Analyzing Performance of Network Attached Memory Components in Disaggregated Datacenters
  • Vineet Vinay Kamat
    MS Computer Science (Fall 2020)
    MS Capstone - TensorFlow Hardware Resource Requirement Prediction
  • Rohit Haresh Keswani
    MS Computer Science (Spring 2020)
    MS Capstone - Touchstone: A Distributed Framework for TensorFlow Benchmarking
  • Neelabh Kumar
    MS Computer Science (Spring 2020)
    MS Capstone - Data and Process Management in Distributed IoT Edge Devices
  • Sahana Ravindra
    MS Computer Science (Fall 2019)
    MS Capstone - Middleware for IoT Devices to Offload Memory and Computation
  • Vipul Koul
    MS Computer Science (Fall 2019)
    MS Capstone - Enabling GPU Acceleration For Hyperledger Framework
  • Vishal Pawan Bulchandani
    MS Computer Science (Fall 2019)
    MS Capstone - Implementation of Two-Way Tree Algorithm using FUSE

Contact


Inquiries should be sent to M. Mustafa Rafique.

20 Lomb Memorial Drive, 70-3635
Rochester, NY 14623
mrafique AT cs DOT rit DOT edu
+1 (585) 475-4528