Tuesday, October 15, 2013

CCIS New Member: Dr. Yogeswaran Mohan

Dear colleagues,

Let's welcome Dr Yogeswaran Mohan to CCIS. Below are short biography of Dr Yogeswaran. Feel free to contact Dr Yogeswaran for further collaboration opportunities.

Yogeswaran Mohan received his PhD and Degree in Mechatronics Engineering from Monash University and is currently teaching Artificial Intelligence at UTAR. He is highly self motivated and goal-oriented professional committed to pursuing a long-term career in lecturing and research. His professional interests focus on swarm robotics and optimization.

In addition, he serves as committee for various conferences held by IEEE RAS chapter.

Research interest
To solve problems in assignment of machines to operations and the scheduling of operations on the assigned machines in Flexible Job shop Scheduling Problem with multi-objectives using heuristics or meta-heuristics. Various swarm intelligence algorithms (such as particle swarm optimization (PSO), simulated annealing technique (SA)) are hybridized to solve the Job Shop Scheduling Problems. To optimize assembly line balancing problems using artificial intelligence algorithms and heuristics. To compare and contrast various algorithms used to solve the above mentioned problem domains with the developed algorithms.

To implement developed learning algorithms on various problems domains such as cart pole problem, soccer, mountain car problem and game theories such as Backgammon, Blackjack and Chess. To built a commercial mobile robot for research purposes. The mobile robot will consist of several common modules such as gripper module, camera module and communication turret. Further development to solve mobile robot problem domains such as mapping, localization, object detection using stereo vision, odometry issues, on-board database, self-charging capabilities and on-board neural network platform. The mobile robot will be built in a platform that supports major programming languages namely C/C++ language, Visual Basic, JAVA, MATLAB and LabView.
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