Projects

Hi, I'm Aakif Mairaj, an Assistant Professor of Computer Science at Indiana University Kokomo. My primary research focuses on applying Game Theory to enhance the Security of Unmanned Aerial Systems. My research interests include Computer Networks, Wireless Security, the Internet of Things, Artificial Neural Networks, Game Theory, and Cyber Security. 

If you want to collaborate on a research project, please email me a brief note and your CV. For more details on my research, check out my publications [link].

1. Algorithmic Game Theory for the security of Flying ad-hoc networks (FANETs)          

Cyber Security Teaming and Research Lab - University of Toledo    August 2017 - Present

• Did a literature survey on existing Unmanned Aerial Vehicle (UAV) Simulators, and performed simulations in OMNeT ++,  and identified the favorable Game theoretic strategies for the Hacker and Target node in a UAV-Network under Denial of Service attack.

2. Internet of Things (IoT) : Challenges & Issues in IETF protocols                     

Computer Science & Engineering Department, NIT, Srinagar     October 2015 -Present

• Did a literature survey on 6LoWPAN & limitations of constrained application protocol (CoAP) and routing  protocol  for  low  power  and  lossy  networks  (RPL).  Performed  simulations  of  CoAP,  Border Router, and RPL in Cooja.

3. Artificial Neural Network Modeling Of Flashlamps                                                  

Laser Plasma Division, RRCAT research center, MP, India    November 2014 - May 2015

• Artificial Neural Networks were used to learn certain characteristics of Flashlamp.  This also led to a development of Open Loop Control system to predict certain parameters.  Created a mathematical model of Flashlamp equation using SIMULINK, It predicted various parameters, without doing experiments on the Flashlamp circuit.

4. Improving the Energy Efficiency of Wireless sensor network using Cuckoo Search Algorithm   

 Vellore Institute of Technology, Chennai, India    July 2013 - August 2013

• Developed an algorithm using MATLAB that could show the targets covered by a particular sensor, which provided an idea         about a maximum number of possible covers.

5. Speed Control of a D.C Motor using a Adaptive Neural Network                                                  

IUST & Virtual Instrumentation lab of NIT, Srinagar   July 2011 - June 2012

• After the fabrication of DC motor test-bed, the data of speed and the corresponding armature voltage was used to train the network in order to generate a mapping between speed and the armature voltage. An adaptive control algorithm was used to identify the voltage and angular speed characteristics of the DC motor for a varying armature voltage which is then used to control the motor