Academics
Advising
Current Ph.D. Students: Subhrajit Majumder, Akshay Mathur
Current M.S. Students: Jyothirmai Kothakapu, Bhanu Prakash Cherukuri
Undergraduate Research
Vibhuti Chandna (Student at the University of Toledo), Summer 2019, Fall 2019
Kesava Sai Atluri, Summer 2019
Allen Williams (Student at the University of Toledo), Summer 2018, Fall 2018, and Spring 2019
Joseph Tan (Student at the University of Toledo), Fall 2018 and Spring 2019
Ikshita Gupta (Student at the University of Toledo), Spring 2018
Skyler Davis (Student at Boston University), Summer 2017
Graduated
Aakif Mairaj
Abdulsahib Albehadili
Laxmi M. Podilla
Jyothi Priyanka Bandreddi
Md Faisal Kabir
Deepthi Chandrika Mandava
Tauheed Khan Mohd, "Multimodal Data Fusion Using Voice and Electromyography Data for Robotic Control," Graduated with PhD (Computer Science), Summer 2019.
Mohammad Faridul Haque Siddiqui, "A Multi-modal Emotion Recognition framework through the Fusion of Speech with Visible and Infrared Images," Graduated with PhD (Computer Science), Spring 2019.
Aasim Kamal, "A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights," Graduated with MS (CSE, Thesis), Spring 2019.
Bhargav Pingle Reddy, "Real-world Man-in-the-middle (MITM) Attack Implementation Using Open Source Tools for Instructional Use," Graduated with MS (CSE, Project), Spring 2019.
Yaswanth Kolli, "A Comprehensive Hands-on Oriented Cyber-Learning Curriculum for Undergraduate Cybersecurity Education," Graduated with MS (CSE, Project), Spring 2019.
Atif Ali, "Application of Classification Algorithm for Identifying Patterns in Different Types of Data Sets," Graduated with MS (CSE, Project), Spring 2019.
Tanzin Farhat, "An Artificial Neural Network based Security Approach of Signal Verification in Cognitive Radio Network," Graduated with MS (CSE, Thesis), Summer 2018.
Balaji Sathelly, "An Artificial Neural Network Approach to Predict Liver Failure Likelihood," Graduated with MS (CSE, Thesis), Summer 2018. (LinkedIn)
Ankita Chordiya, “Deep Learning for Detection of Breast Cancer using RapidMiner Tool,” Graduated with MS (CSE, Project), Summer 2018.
Dhwani Mehta, "Face Detection and Recognition of Emotion Intensity using Machine Learning Algorithms," Graduated with MS (CSE, Thesis), Summer 2018. (LinkedIn)
Ankit Renduchintala, "A Comprehensive Micro Drone Forensic Framework," Graduated with MS (CSE, Thesis), Summer 2018. (LinkedIn)
Safia Rahmat, "A Hybrid Network Traffic-Based Malware Detection Approach for Android and Traditional Networked Systems," Graduated with MS (CSE, Thesis), Summer 2018. (LinkedIn)
Arun Sivanesan, "Google Chromium Browser Extension for Detecting XSS attack in HTML5 based Websites," Graduated with MS (CSE, Project), Spring 2018. (LinkedIn)
Keyur Kulkarni, "Android Malware Detection through Permission and App Component Analysis using Machine Learning Algorithms," Graduated with MS (CSE, Thesis), Spring 2018. (LinkedIn)
Mayukha Cheekati, "A Data Mining Approach for Sepsis Validation," Graduated with MS (CSE, Project), Spring 2018. (LinkedIn)
Ashutosh M. Bandekar, "A Secure and Low-Power Consumption Communication Mechanism for IoT (Internet of Things) and Wireless Sensor Networks", Graduated with MS (EE, Thesis), Summer 2017. (LinkedIn)
Akshay Kotian, "Comparative Power Consumption Analysis for Zolertia Z1-mote based Wireless Sensor Network with and without Attack through Simulation and Real-World Experiments", Graduated with MS (EE, Project), Early Fall 2016. (LinkedIn)
Senior Design
Spring 2018
Smartphone-based Smart Attendance System. Group Members: Juan Francisco, Trey Rupp, Hussain Almahmud, Alek Martinez
Record attendance using Smartphone MAC addresses for students.
Programmable Powerstrip with energy consumption tracking. Group Members: Riley Robinson, James Vince,
Co-advised with Dr. Raghav Khanna.
Fall 2017
GPS-guided Mailbox. Group Members: Blaine Luszcak, Adam Honaker, Ralph Palad, and Jason Gorges.
Using a 3DR Solo drone to automatically drop mails/packages to the house when a mail is detected in the mailbox. Solves the problem of checking the mailbox for seniors and special-ability individuals. (YouTube Video)
Smart Window. Group Members: Sean Puchalski, Devon Kress, Logan Alexander, Austin Escobedo
Co-advised with Dr. Raghav Khanna. Creating a smart window that can be locked/unlocked and closed/opened using an android phone app.
Spring 2017
Smart Attendance System. Group Members: Caleb Simmons, Ryan Jewell, Max Kolomiyets, and Robert Longfield.
Record attendance using RFID cards for students and RFID sensors on classroom doors. (YouTube Video)
Fall 2016
Self-driving Remote Controlled (RC) Car. Group Members: Jacob Buchanan, Zhengkun Ye, and Abdulaziz Alghafli.
Modifying an off-the-shelf RC car to add self-driving features such as obstacle detection, and STOP sign detection. Used a COTS RC Car with ultrasonic and infrared sensors along with a camera.
Swift Shop. Group Members: Jason Montey, Nick Hughes, Dylan Hickman, and Dmitriy Neborak.
Reducing total shopping time by guiding shoppers to a specific aisle and shelf, based on their shopping list. Used a Bluetooth beacon and sensors to 3D locate products on shelves.
Co-Advising
PhD
Pursuing
Md Shah Alam, Advisor: Dr. Jared Oluoch, Expected Graduation: Fall 2022.
Graduated
Praveen Damacharla, "Simulation Studies and Benchmarking of Synthetic Voice Assistant Based Human-Machine Teams (HMT)," Advisor: Dr. Vijay Devabhaktuni, Graduated with Ph.D., Fall 2018.
Quamar Niyaz, "Design and Implementation of a Deep Learning based Intrusion Detection System in SOftware-Defined Networking Environment", Advisor: Dr. Weiqing Sun, Graduated with Ph.D., Summer 2017 - Currently a Faculty at Purdue Northwest University (Link)
MS
Pursuing
Medha Rani Pujari (Advisor Dr. Weiqing Sun, Expected Graduation: Summer 2019)
Junhui Xiao (Advisor Dr. Weiqing Sun, Expected Graduation: Summer 2019)
Graduated
Mohini Billade, "Smart Shopping Cart using Raspberry Pi with Platform Independent OOP-language Java and Document-based Database MongoDB," Advisor Dr. Jared Oluoch, Graduated with MS (CSE, Project), Spring 2019.
Shriya Vyamajala, "Web scraping from Facebook and Twitter using Python," Advisor Dr. Weiqing Sun, Graduated with MS (CSE, Project), Spring 2019.
Boyu Zhu, "2D Role Playing Game Project," Advisor Dr. Hong Wang, Graduated with MS (CSE, Project), Fall 2018.
Oaj Gokhale, "Identifying Crime Patterns- Yearly Analysis of Changing Patterns in Criminal Activities over a Decade," Advisor Dr. Hong Wang, Graduated with MS (CSE, Project), Fall 2018.
Man Bhujel, “Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture,” Advisor: Dr. Vijay Devabhaktuni, Graduated with MS (EE, Thesis), Spring 2018
Parashar Dhakal, “Novel Architectures for Human Voice and Environmental Sound Recognition using Machine Learning Algorithms,” Advisor: Dr. Vijay Devabhaktuni, Graduated with MS (EE, Thesis), Spring 2018
Akshay Chavan "Security Enhancement of Over-The-Air Update for Connected Vehicles", Advisor: Dr. Weiqing Sun, Graduated with MS (CSE, Thesis), Summer 2018
Rahat Helal, "Efficient Isolation Enabled Role-Based Access Control for Database Systems", Advisor: Dr. Weiqing Sun, Graduated with MS (CSE, Thesis), Summer 2017.
Bhavana Daddala, "Design and Implementation of a Customized Encryption Algorithm for Authentication and Secure Communication between devices", Advisor: Dr. Hong Wang, Graduated with MS (EE, Thesis), Summer 2017
Bo Fu, "Implementation of the Battery model based on the Li Battery and attack simulations in the HANSim", Advisor: Dr. Weiqing Sun. Graduated with MS (CSE, Project), Spring 2017
Rishabh Chauhan, "Modified RSSI Fingerprinting Algorithm with Reliability Factor for Wi-Fi based Indoor Navigation System", Advisor: Dr. Hong Wang, Graduated with MS (CSE, Project), Fall 2016
Hailu Xu, "Efficient Spam Detection across Online Social Networks", Advisor: Dr. Weiqing Sun. Graduated with MS (CSE, Thesis), Summer 2016 (ResearchGate)
Wei Liu, "A Lightweight, Flexible, and Web-based Testbed for Computer & Network Security Experiments", Advisor: Dr. Weiqing Sun. Graduated with MS (CSE, Thesis), Summer 2016
Ahmad Maroof Karimi, "Distributed Machine Learning Based Intrusion Detection System", Advisor: Dr. Weiqing Sun. Graduated with MS (CSE, Thesis), Summer 2016. (GScholar) (ResearchGate)
Yadi Wen, "Three-Dimensional Bio-Graphic Website for Biophysicists", Advisor: Dr. Weiqing Sun. Graduated with MS (CSE, Project), Summer 2016
Swapnil Jadhav, "Study of Security Algorithms in Vehicles", Advisor: Dr. Weiqing Sun, Graduated with MS (CSE, Project), Summer 2016
Committee Member (MS/PhD)
Pursuing
PhD
Rehan Ahmad (Ph.D. Advisor: Dr. Kevin Xu, Expected Graduation: Summer 2019)
Mohammad Altamash (Ph.D. Advisor: Dr. Junghwan Kim, Expected Graduation: Summer 2019)
Andrew Sellers (Ph.D. Advisor: Dr. Raghav Khanna, Expected Graduation: Summer 2020)
Shahida Malik (Ph.D. Advisor: Dr. Weiqing Sun, Expected Graduation: Summer 2021)
MS
Ahsan-Al-Zaki Khan, Advisor: Dr. Gursel Serpen, Expected Graduation: Fall 2019.
Graduated
Ruthwik Reddy, "Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis," Ph.D. Advisor: Dr. Kevin Xu, Graduated with Ph.D., Fall 2018.
Hamza Owais, "Development of Intelligent Systems to Optimize Training and Real-world Performance Amongst Health Care Professionals," Advisor: Dr. Scott Pappada, Graduated with MS (CSE, Thesis), Fall 2018
Colin Elkin, "Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety," Advisor: Dr. Vijay Devabhaktuni, Graduated with Ph.D. (Engineering), Fall 2018.
Sandra Debruyne, "Bio-Inspired Evolutionary Algorithms for Multi-Objective Optimization Applied to Engineering Applications," Advisor: Dr. Devinder Kaur, Graduated with Ph.D. (Engineering), Fall 2018.
Anil Varma Penumatsa, "The Impact of Learning Analytics and Badges in providing immediate detailed feedback through Dashboard on Students Performance," Advisor(s): Dr. Vijay Devabhaktuni and Dr. Jason Stroud, Graduated with MS (CSE), Fall 2018.
Ayush Tiwari, “Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios,” Advisor(s): Dr. Vijay Devabhaktuni and Dr Harshavardhan Chenji, Graduated with MS (EE, Thesis), Spring 2018
Blen Keneni, “Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles,” Advisor(s): Dr. Devinder Kaur and Dr. Vijay Devabhaktuni, Graduated with MS (CSE, Thesis), Spring 2018
Sai Kameshwar Rao Nittala, ''Prediction of Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomous Systems", MS Advisor(s): Dr. Kevin Xu and Dr. Vijay Devabhaktuni, Graduation: Fall 2017
Cheikh Tine, "Effects of gate stress and parasitic package inductance on the reliability of GaN HEMTs", MS Advisor: Dr. Raghav Khanna, Graduation: Fall 2017
Vishal Mishra, "Sequence-to-Sequence Learning using Deep Learning for Optical Character Recognition (OCR)", MS Advisor: Dr. Devinder Kaur, Graduation: Fall 2017
Ashray Bhandare, "Bio-inspired Algorithms for Evolving the Architecture of Convolutional Neural Networks", MS Advisor: Dr. Devinder Kaur, Graduation: Fall 2017
Hema Gudavalli, “Student Information System for the Computer Science and Engineering Technology Department,” MS Advisor: Dr. Jared Oluoch, Graduated with MS (Project), Fall 2017
Shahida Malik, “A Novel Anti-Jamming Technique For Cognitive Radio Networks (CRNs,” MS Advisor: Dr. Jared Oluoch, Graduated with MS (Project), Fall 2017
Jizhou Tong, "Design and Implementation of Security Testbed (HANSim) and Intrusion Detection System (IDS) for the Home Area Network in the Smart Grid", Advisor: Dr. Weiqing Sun, Graduated with Ph.D., Summer 2017
Parimala Killada, "Regression Models for Predicting Health Insurance Premiums using Health Exchange Data", Advisor: Dr. Devinder Kaur, Graduated with MS (EE, Thesis), Summer 2017
Ehsan Aghaei, "Machine Learning for Host-based misuse and anomaly detection in UNIX environment", Advisor: Dr. Gursel Serpen, Graduated with MS (EE), Spring 2017
Jayanta Kumar Debnath, "Development of Scheduling, Path Planning and Resource Management Algorithms for Robotic Fully-automated and Multi-storey Parking Structure", Advisor: Dr. Gursel Serpen, Graduated with MS (EE), Summer 2016
Shahrukh Ashraf, "A low-cost solution for UAV navigation in a GPS-denied environment", Advisor/Co-Advisor: Dr. Hong Wang/Dr. Vijay Devabhaktuni, Graduated with MS (EE, Thesis), Summer 2016