Master's Projects from 2021
American Sign Language Assistant, Charulata Lodha
Employee Churn Prediction using Logistic Regression and Support Vector Machine, Rajendra Maharjan
An Open Source Direct Messaging and Enhanced Recommendation System for Yioop, Aniruddha Dinesh Mallya
Performance Evaluation of Byzantine Fault Detection in Primary/Backup Systems, Sushant Mane
Detecting and predicting visual affordance of objects in a given environment, Bhumika Kaur Matharu
Malware Analysis with Auxiliary-Classifier GAN, Rakesh Nagaraju
Machine Learning Using Serverless Computing, Vidish Naik
Predicting Stocks with LSTM-based DRNN and GAN, Duy Ngo
Spaceflight and Differential Gene Expression Analysis of Mice Quadriceps Exposed to Microgravity, Tommy Nguyen
Differential Gene Expression Analysis of Rodents Exposed to Long-Term Space Flight and Insights into Physiological Effects, Jonathan Oribello
Overlapping Community Detection in Social Networks, Akshar Panchal
Summer Marine Bacterial Community Composition of the Western Antarctic Peninsula, Codey Phoun
Multimodal Detection of Cyberbullying on Twitter, Jiabao Qiu
Wildfire Risk Prediction for a Smart City, Rekha Rani
A Hybrid Gaze Pointer with Voice Control, Indhuja Ravi
Nitrogenase Iron Protein Classification using CNN Neural Network, Amer Rez
Automating Text Encapsulation Using Deep Learning, Anket Sah
Fake Malware Classification with CNN via Image Conversion: A Game Theory Approach, Yash Sahasrabuddhe
Classifying Illegal Advertisements on the Darknet Using NLP, Karan Shashin Shah
Asynchronous Validations using Programming Contracts in Java, Rahul Shukla
Hidden Markov Model-based Clustering for Malware Classification, Shamli Singh
Witness for Two-Site Enabled Coordination, Sriram Priyatham Siram
Dynamic Resource Management of Fog-Cloud Computing for IoT Support, Mariia Surmenok
Prediction of Financial Capacity using Diffusion Compartment Imaging, Lok Yi Tai
Task Classification during Visual Search with Deep Learning Neural Networks and Machine Learning Methods, Siddartha Thentu
Fake malware opcodes generation using HMM and different GAN algorithms, Harshit Trehan
Machine Learning to Detect Malware Evolution, Lolitha Sresta Tupadha
Improving Facial Emotion Recognition with Image processing and Deep Learning, Ksheeraj Sai Vepuri
An Examination of Bone Loss During Space Travel with Differential Gene Expression Analysis, Claudia Vo
Meta-Analysis of Natural vs Pharmaceutical Interventions for Alzheimer's Disease, Tamara Vrublevskaya
Data Augmentation with Malware as Images, Aditi Walia
Cyberbullying Classification based on Social Network Analysis, Anqi Wang
Privacy Preserving for Multiple Computer Vision Tasks, Amala Varghese Wilson
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS), Xinxin Yang
Spaceflight and the Differential Gene Expression of Human Stem Cell-Derived Cardiomyocytes, Eugenie Zhu
Master's Projects from 2020
Pattern Analysis and Prediction of Mild Cognitive Impairment Using the Conn Toolbox, Meenakshi Anbukkarasu
Rehearsal Scheduling Problem, Thuan Bao
Word Embedding Techniques for Malware Classification, Aniket Chandak
Evidence-Based Detection of Pancreatic Canc, Rajeshwari Deepak Chandratre
Higher-order Link Prediction Using Graph Embeddings, Neeraj Chavan
Improved User News Feed Customization for an Open Source Search Engine, Timothy Chow
Malware Classification Using LSTMs, Dennis Dang
Understanding Impact of Twitter Feed on Bitcoin Price and Trading Patterns, Ashrit Deebadi
Housing Market Crash Prediction Using Machine Learning and Historical Data, Parnika De
Load Balancing in Cloud Computing, Snehal Dhumal
A NEAT Approach to Malware Classification, Jason Do
The Use of Evidential Reasoning Model with Biomarkers in Pancreatic Cancer Prediction, Qianhui Fan
Visualization of Large Networks Using Recursive Community Detection, Xinyuan Fan
Comparison of Word2vec with Hash2vec for Machine Translation, Neha Gaikwad
USING MACHINE LEARNING TO OPTIMIZE PREDICTIVE MODELS USED FOR BIG DATA ANALYTICS IN VARIOUS SPORTS EVENTS, Akhil Kumar Gour
FindFur: A Tool for Predicting Furin Cleavage Sites of Viral Envelope Substrates, Christine Gu
END-TO-END LEARNING UTILIZING TEMPORAL INFORMATION FOR VISION- BASED AUTONOMOUS DRIVING, Dapeng Guo
Cat Tracks – Tracking Wildlife through Crowdsourcing using Firebase, Tracy Ho
Computational Astronomy: Classification of Celestial Spectra Using Machine Learning Techniques, Gayatri Milind Hungund
Sentiment Analysis for Troll Activity Detection on Sina Weibo, Zidong Jiang
Detection of Mild Cognitive Impairment using Diffusion Compartment Imaging, Matthew Jones
Malware Classification Based on Hidden Markov Model and Word2Vec Features, Aparna Sunil Kale
Yoga Pose Classification Using Deep Learning, Shruti Kothari
Probabilistic and Machine Learning Enhancement to CONN Toolbox, Gayathri Hanuma Ravali Kuppachi
An AI for a Modification of Dou Di Zhu, Xuesong Luo
Predicting Students’ Performance by Learning Analytics, Sandeep Subhash Madnaik
USING DEEP LEARNING AND LINGUISTIC ANALYSIS TO PREDICT FAKE NEWS WITHIN TEXT, John Nguyen
VIRTUAL ROBOT LOCOMOTION ON VARIABLE TERRAIN WITH ADVERSARIAL REINFORCEMENT LEARNING, Phong Nguyen
Benchmarking MongoDB multi-document transactions in a sharded cluster, Tushar Panpaliya
Implementing TontineCoin, Prashant Pardeshi
Multi-Agent Deep Reinforcement Learning for Walkers, Inhee Park
Land Registry on Blockchain, Mugdha Patil
Detection and Analysis of Malware Evolution, Sunhera Barunkumar Paul
LiDAR Object Detection Utilizing Existing CNNs for Smart Cities, Vinay Ponnaganti
Quantifying DeepFake Detection Accuracy for a Variety of Natural Settings, Pratikkumar Prajapati
AI Quantification of Language Puzzle to Language Learning Generalization, Harita Shroff
REAL-TIME AD CLICK FRAUD DETECTION, Apoorva Srivastava
Improved Chinese Language Processing for an Open Source Search Engine, Xianghong Sun
Developing a MongoDB Monitoring System using NoSQL Databases for Monitored Data Management, Anjitha Karattu Thodi
Detecting DeepFakes with Deep Learning, Eric C. Tjon
Bioinformatics Metadata Extraction for Machine Learning Analysis, Zachary Tom
Using Color Thresholding and Contouring to Understand Coral Reef Biodiversity, Scott Vuong Tran
Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma
Video Synthesis from the StyleGAN Latent Space, Lei Zhang
Malware Classification with Gaussian Mixture Model-Hidden Markov Models, Jing Zhao
Master's Projects from 2019
Predictive Analysis for Cloud Infrastructure Metrics, Paridhi Agrawal
MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS, Revanth Akella
Assessing Wildfire Damage from High Resolution Satellite Imagery Using Classification Algorithms, Ai-Linh Alten
Sensor - Based Human Activity Recognition Using Smartphones, Mustafa Badshah
An Empirical Comparison of Different Machine, Piyush Bajaj
Multifamily Malware Models, Samanvitha Basole
Designing single guide RNAs for CRISPR/Cas9, Neha Atul Bhagwat
Detection of Hate Speech in Videos Using Machine Learning, Unnathi Bhandary
Using Computer Vision to Quantify Coral Reef Biodiversity, Niket Bhodia
Hot Fusion vs Cold Fusion for Malware Detection, Snehal Bichkar
Deep Learning Based Real Time Devanagari Character Recognition, Aseem Chhabra
Image Compression Using Neural Networks, Kunal Rajan Deshmukh
Detecting CRISPR Arrays Using Long-Short Term Memory Network, Shantanu Deshmukh
An Industry Driven Genre Classification Application using Natural Language Processing, Sharan Duggirala
3D Shape Prediction on Convolutional Deep Belief Networks, Gregory Y. Enriquez
CONTRACT BUILDER ETHEREUM APPLICATION, Colin M. Fowler
Classification of Humans into Ayurvedic Prakruti Types using Computer Vision, Gayatri Gadre
Chatbots with Personality Using Deep Learning, Susmit Gaikwad
Declassification of Faceted Values in JavaScript, Shreya Gangishetty
