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

Cyber Security Programs at UToledo