Mentoring the next generation

Current Students

Ph.D. Graduates · 17

• Dr. Chenyu Wang (Fall 2019~Spring 2024),
  Assistant Professor, Kennesaw State University, Kennesaw, GA, USA.
  Thesis: Towards High-Fidelity Digital Twins in Internet of Things.
• Dr. Bingyi Xie (Fall 2019~Spring 2024),
  Lecturer, Georgia State University, Atlanta, GA, USA.
  Thesis: Copyright and Data Privacy Protection for Generative Adversarial Network Applications.
• Dr. Akshita Maradapu Vera Venkata Sai, (Fall 2018~Summer 2023),
  Assistant Professor, Towson University, Towson, MD, USA.
  Thesis: User-centric Privacy Preservation in Internet of Things Networks.
  Provost’s Dissertation Fellowship, Outstanding Graduate Teaching Award, 2022 Grace Hopper Celebration Student Scholarship.
• Dr. Madhuri Siddula (Fall 2016~Summer 2020),
  Associate Professor, North Carolina A&T State University, Greensboro, NC, USA.
  Thesis: Privacy Preserving User Data Publication in Social Networks.
  GSU Three Minute Thesis Competition Winner.
• Dr. Dongjing Miao (Fall 2016~Fall 2018),
  Professor, Harbin Institute of Technology, Harbin, China.
  Thesis: Computational Complexity and Algorithms for Dirty Data Evaluation and Repairing.
  Outstanding Graduate Research Award.
• Dr. Xu Zheng (Fall 2016~Summer 2018),
  Associate Professor, University of Electronic Science and Technology of China, Chengdu, China.
  Thesis: Privacy-Preserved Linkable Social-Physical Data Publication.
  Outstanding Graduate Research Award.
• Dr. Yi Liang (Fall 2014~Summer 2018),
  Amazon, Atlanta, GA, USA.
  Thesis: Privacy Leakage Through Sensory Data on Smart Devices.
• Dr. Zaobo He (Fall 2013~Summer 2018),
  Professor, Jinan University, Guangzhou, China.
  Thesis: Privacy Preserving Data Publishing.
  Outstanding Graduate Student Award, PAMCO 2016 Best Paper Award, Outstanding Graduate Research Award, Molecular Basis of Disease Graduate Fellowship, ICDCS 2015 Travel Award.
• Dr. Meng Han (Fall 2012~Spring 2017),
  Professor, Zhejiang University, Hangzhou, China.
  Thesis: Influence Analysis Towards Big Social Data.
  Outstanding Graduate Student Award, MSN 2016 Best Paper Runner-up Award, Globecom 2016 Travel Award, Service Award.
• Dr. Guoliang Liu (Fall 2011~Fall 2016),
  Software Engineer, CareerBuiulder, Norcross, GA, USA.
  Thesis: Data Dissemination and Information Diffusion in Social Networks.
• Dr. Mingyuan Yan (Fall 2010~Summer 2015),
  Associate Professor, University of North Georgia, Dahlonega, GA, USA.
  Thesis: Data Aggregation Scheduling in Wireless Networks.
  Outstanding Graduate Student Award, Service Award.
• Dr. Shouling Ji (Spring 2010~Spring 2013),
  Professor, Zhejiang University, Hangzhou, China.
  Thesis: Data Collection and Capacity Analysis in Large-scale Wireless Sensor Networks.
  Outstanding Graduate Research Award, MSN 2012 Best Paper Award, SECON 2013 Travel Award, ICDCS 2012 Travel Award, INFOCOM 2012 Travel Award, SenSys 2011 Travel Award.
• Dr. Jing He (Fall 2009~Spring 2012),
  Professor, Kennesaw State University, Kennesaw, GA, USA.
  Thesis: Connected Dominating Set Based Topology Control in Wireless Sensor Networks.
  MSN 2012 Best Paper Award, N^2 Women Young Researcher Fellowship, SenSys 2011 Travel Award, MILCOM 2011 Travel Award.
• Dr. Marco Valero (Fall 2009~Spring 2012),
  Director of Technology, Cox Communications, Atlanta, GA, USA.
  Thesis: DI-SEC: Distributed Security Framework for Heterogeneous Wireless Sensor Networks.
  Outstanding Graduate Student Award, ICC 2011 Travel Award, MILCOM 2011 Travel Award.
• Dr. Chunyu Ai (Fall 2006~Summer 2010),
  Professor, University of South Carolina Upstate, Spartanburg, SC, USA.
  Thesis: Energy-efficient Data Management in Wireless Sensor Networks.
  Outstanding Graduate Student Award, Provost's Dissertation Fellowship, N^2 Women Young Researcher Fellowship, MSN 2009 Best Paper Award, WASA 2009 Travel Award, ICDCS 2008 Travel Award.
• Dr. Yiwei Wu (Fall 2006~Spring 2010),
  Software Engineer, Ingenico, Alpharetta, GA, USA.
  Thesis: Connected Dominating Set Construction and Application in Wireless Sensor Networks.
  Outstanding Graduate Research Award, MILCOM 2007 Travel Award.
• Dr. Chinh Trung Vu (Fall 2005~Summer 2009),
  Van Lang Technology Development & Investment JSC, Hanoi, Vietnam.
  Thesis: Distributed Energy-efficient Solutions for Area Coverage Problems in Wireless Sensor Networks.
  Outstanding Graduate Research Award, MILCOM 2006 Travel Award.

Master's Graduates · 50

• Sanjay R. Choudapur, Project: LensRAG: Modality-Preserving Video Retrieval with User-Defined Analytical Lenses, Spring 2026.
• Faye Yao, Project: Real-Time Bus Tracking & Historical Playback System, Spring 2026.
• Lakshmi Sravani Kota, Project: Energy-Efficient Neural Networks for Arrhythmia Detection from ECG Signals, Fall 2025.
• Kiran Donuru, Project: Custom Chat Assistant for Rest-API Data Endpoints Powered GPT, Fall 2024.
• Shanshan Yuan, Project: Deep learning on Photo Privacy, Fall 2024.
• Niveditha Rayalla, Project: Touch Based Prediction Model with Mobile Sensor, Fall 2024.
• Ayantan Dandapath, Project: Multi-band Spectrum Prediction Using Graph Convolutional Networks and Recurrent Neural Networks, Summer 2024.
• Sreevarsha Kurella, Project: Smart Surveillance and Sensor System for Child Safety, Spring 2024.
• Hansika Yedlapalli, Project: WordWave – An Enhanced Audio Language Modeling for A Text-To-Speech System, Spring 2024.
• Shivani Kolanu, Project: Online Voting System using Blockchain, Spring 2024.
• Haijing Zhang, Project: Optimizing Mobile Crowdsourcing Quality with Four-Party Evolutionary Game in Edge Cloud Environment, Fall 2023.
• Sai Sirisha Vadapalli, Project: Enhancing Sequential Data Analysis Using the RVT Block Structure: Integrating Convolution, Self-Attention, and LSTM, Fall 2023.
• Bhavana Reddy Mamidi, Project: Multi-Class Brain Tumor Recognition through MSENet, Summer 2023.
• Rujula Malineni, Project: Music Genre Classification, Spring 2023.
• Gaayathri Pazhambalacode, Project: Music Recommendation System Using Implicit Feedback Mechanism, Spring 2023.
• Revanth Pendyala, Project: Methods to Identify Misconfigurations and Bypass Web Application Firewalls, Spring 2023.
• Lakshman Bodapati, Project: Diabetic Retinopathy Severity Prediction, Spring 2023.
• Aswini Sreepada, Project: Movie Recommender System, Fall 2022.
• Pranay Bachu, Project: Security and Privacy of Captcha Recognition Black Box Testing, Fall 2022.
• Archana Chandrashekhar, Project: Hospital Monitoring System Using Digital Twin, Fall 2022.
• Srikar Chowdavarapu, Project: Smart Home Recommendation System with Digital Twin, Summer 2022.
• Vinayak Renu Nair, Project: MES Simulator Tool for Data Transfer and Handover Scenarios, Summer 2022.
• Maha Lakshmi Annavarapu, Project: Location Based Recommendation, Spring 2022.
• Hunmin Lee, Thesis: Epidemic Vulnerability Index: Vaccine Dissemination Criteria for Successful Resolution to Epidemics, 5/4/2022.
• Sri Harsha Kacharla, Project: Discord Course Bot, Fall 2021.
• Susanth Dasari, Project: Adversarial ML based Privacy Preservation against Face Detection on Social Media, Spring 2021.
• Huiwen Ju, Project: End-to-end Decentralized and Privacy-preserving Machine Learning Pipelines, Fall 2020.
• Khushboo Neema, Project: Mobile Application Development for Sports Applications, Summer 2019.
• Prakruthi Rao, Project: Image Captioning using Deep Learning Techniques, Summer 2019.
• Gowtham Potluri, Project: Web Portal for Graduation Milestones Forms, Summer 2019.
• Huafu Hu, Project: Online Graduate Student Management System, Spring 2019. Service Award.
• Weidong Zhao, Project: Chinese Input Prediction based on Sensory Data, Spring 2019.
• Rumman Ahmed, Project: Preserving the Privacy in Online Social Networks Using Enhanced Clustering Algorithms, Summer 2018.
• Xuan Liu, Project: Financial Annual Report Text Classification, Fall 2017.
• Ankush Chauhan, Project: Tap Position Inference on Smart Phones, Fall 2017.
• Linlin Zhou, Project: Improve Prediction Accuracy for Clinic Medical Data Analysis, Spring 2017.
• Hussah Albinali, Thesis: Identifying Mavens in Social Networks, Fall 2016. MSN 2016 Best Paper Runner-up Award .
• Huaping Ding, Project: A Platform for Comparing CDS Discovering Algorithms, Fall 2011.
• Shouling Ji, Project: Capacity of Dual-Radio Multi-Channel Wireless Sensor Networks for Continuous Data Collection, Summer 2011.
• Bhavya Kilari, Project: GSUZapApp-Send Notifications in a Single Click, Spring 2011.
• Manshu Zhang, Project: OCEF Finance System, Spring 2010.
• Soheil Rahim, Project: OCEF Finance System, Spring 2010.
• Sangeetha Glova, Project: Dimension Reduction for Biological Data, Summer 2010.
• Shan Bai, Project: Data Packet Loss Rate in Wireless Sensor Networks, Spring 2009.
• Chaitanya K. Sambhara, Thesis: p-Percent Coverage in Wireless Sensor Networks, Fall 2008.
• Yiwei Wu, Project: Construction of k-Connected m-Dominating Sets, Fall 2008.
• Chunyu Ai, Project: Authentic Delay Bounded Event Detection in Heterogeneous Wireless Sensor Networks, Spring 2008.
• Shan Gao, Project: Coverage Scheduling in Wireless Sensor Networks, Spring 2008.
• Wiwek Deshmukh, Thesis: A Physical Estimation Based Continuous Monitoring Scheme for Wireless Sensor Networks, Summer 2007.
• Chinh Vu, Thesis: An Energy-Efficient Distributed Algorithm for k-Coverage Problem in Wireless Sensor Networks, Spring 2007.

Thesis & Project Committees · 40

• Guangxi Lu, PhD (12-11-2023), Thesis: Exploring the Utility-Privacy Trade-off in Social Media Data Mining.
• Kainan Zhang, PhD (12-11-2023), Thesis: Towards Data Privacy and Utility in the Applications of Graph Neural Networks.
• Honghui Xu, PhD (12-11-2023), Thesis: Privacy-Preserving Deep Learning Mechanisms for Multimedia Data-oriented Applications.
• Tianbai Yue, MS (7-18-2023), Project: Vehicle Moving Speed Prediction & Travel Path Mapping System.
• Zuobin Xiong, PhD (8-8-2023), Thesis: Towards Privacy Preservation of Federated Learning in Artificial Intelligence of Things.
• Bhavya Busireddy, MS (12-6-2022), Project: WEBDMAP.
• Peng Wang, PhD (12-12-2022), Thesis: Image Based Attack and Protection on Secure-Aware Deep Learning.
• Moulika Achhe, MS (4-27-2022), Project: Comparison of COVID-19 Real Pandemic Data with SIR Model Results.
• Yogesh Chandel, MS (4-27-2022), Project: IoT Dashboard.
• Xucan Chen, PhD (5-2-2022), Thesis: Applying Data Mining Algorithms on Open Source Intelligence to Combat Cyber Crime.
• Jishen Yang, PhD (12-13-2021), Thesis: Privacy Protection For Visual Data Against Deep Learning Based Computer Vision Models.
• Fengpan Zhao, PhD (12-13-2021), Thesis: Spam Detection in Social Media with Privacy Protection.
• Soukaina Filali Boubrahimi, PhD (7-15-2020), Thesis: Time Series Mining: Ensembling, Shapelet Discovery, and Applications.
• Raghunandan Gardas, MS (4-17-2018), Project: Assword Wallet.
• Chaoyang Li, PhD (8-8-2017), Advisor-Dr. Bourgeois, Thesis: Full-view Coverage Problems in Camera Sensor Networks.
• Badrinath Jayakumar, PhD (5-10-2017), Thesis: Distributed Graph Storage And Querying System.
• Xiaolong Wu, MS (12-16-2015), Thesis: Optimizing Sparse Matrix-Matrix Multiplication on a Heterogeneous CPU-GPU Platform.
• Saloni Jain, MS (5-9-2015), Thesis: Real-Time Social Network Data Mining for Predicting the Path for a Disaster.
• Hari Uday, MS (11-18-2014), Project: Security in the Cloud for EMR.
• Shankar Potluri, MS (11-18-2014), Project: Atlanta Community Resource.
• Quintin Ash, MS (4-18-2014), Project: Encryption for Optical Burst Switching Networks.
• Jason Brelloch, MS (11-04-2013), Project: Firepath.
• Mingsen Xu, PhD (4-23-2013), Thesis: Collaborative Communication and Storage in Energy-Synchronized Sensor Networks.
• Diana Castro, MS (11-26-2012), Project: How to Create Blender Tutorials.
• Syed E. Haque, MS (4-11-2012), Thesis: Efficient GTS Allocation Schemes for IEEE 802.15.4.
• Gang Shen, PhD (3-9-2012), Thesis: Shadow Price Guided Genetic Algorithms.
• Brian Strickland, MS (12-01-2011), Project: Consumer Network Traffic Analysis Using Snort.
• Hailong Hou, PhD (4-15-2011), Thesis: Granular Word and its Application in Security and Searching Engines.
• Russell Holloway, MS (11-22-2010), Thesis: Covert DCF: A DCF-based Covert Timing Channel in 802.11 Networks.
• Rucha Patel, MS (11-17-2010), Project: Position Verification of Nodes in Clustered Vehicular Ad-Hoc Networks.
• Akshaye Dhawan, PhD (8-5-2009), Thesis: Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks.
• Marco Valero, MS (4-14-2009), Thesis: Implementing Energy-saving Improvements to the IEEE 802.15.4 MAC Protocol.
• Telvis E. Calhoun, MS (4-10-2009), Thesis: A Covert Channel Using 802.11 LANs.
• Sunetri P. Dasari, MS (11-28-2007), Thesis: Peer-to-Peer Distributed SyD Directory Synchronization in a Proximity-based Environment.
• Xiuyun Shen, MS (8-2-2007), Thesis: A Domain-Specific Conceptual Query System.
• Anjum B. Reyaz-Ahmed, MS (5-3-2007), Thesis: Protein Secondary Structure Prediction Using Support Vector Machines, Neural Networks and Genetic Algorithms.
• Aung Aung, MS (5-3-2007), Thesis: Distributed Algorithms for Improving Wireless Sensor Network Lifetime with Adjustable Sensing Range.
• Alexander F. Ribadeneira, MS (5-4-2007), Thesis: An Analysis of the MOS under Conditions of Delay, Jitter and Packet Loss and an analysis of the Impact of introducing Piggybacking and Reed Solomom FEC for VOIP.
• Sugandhi Madiraju, MS (12-5-2006), Thesis: An Agent Based Transaction Manager for Multidatabase Systems.
• Liyang Yu, MS (6-9-2006), Thesis: An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics.