Finally getting serious with my Research

Finally, I got some time to write here again. Actually, it is not like I was really busy or anything, but was simply whiling away time. After I cleared all my qualifiers, a personal record though it is nothing significant except for the fact that none in the past ten years did so in my department, I was overwhelmed with joy and was getting drunk every weekend over the last few weeks.

Now that I received the official letter saying I am a Level II Graduate Student of the department, I've finally decided on my thesis advisor and am all set to start research.

Let me retrospect the chronological events that lead to me choosing my advisor as Dr. Anindya Roy. In my first semester in UMBC, when Dr. Roy met me for the first time, he told me that he might employ my mathematical background in solving a problem and giving me a thesis problem. I was not extremely serious about that, but then he introduced me to Dr. Prasun Kundu, a Research Associate Professor associated with JCET, a part of UMBC. In the past, Dr. Roy and Dr. Kundu have collaborated and advised a PhD student in his thesis.

So Dr. Roy related that they have another problem, an extension to the problem they previously worked on and asked me if I was interested in doing that. I said I just want to learn more about the problem and would work on it if interested. After a couple of weeks, I met Dr. Kundu and he briefed me the problem. Though I was not completely into it straight away, I liked the topic as it is much related to the real world, the main reason I quit Pure Mathematics; I was never competent enough to see a four-dimensional cylinder!

After working on it for a good eight months, playing with some codes in FORTRAN, I really got no good inclination towards that problem. But after my qualifiers, I read some good papers on the topic and Googled a lot to see what recent research is being done in that area and that was when I decided it is a good problem to work on.


Research Topic

The problem I will be working on is the Spatial and Temporal properties of Rainfall Statistics. Many theories and methods have been proposed on this, but the problem has not been solved in totality. My Precursor worked on the Spatial properties of it. So I'll be working on the time-variation and if feasible, try to get the joint density of both.


Thats it for now people.
Cheers,
Deepak.