Lessons learnt Fall 2009

I believe I have come a long way since I taught my first class of the semester. I have always tried to make my teaching sessions lively and interesting by making them interactive and I have achieved this by using active learning strategies such as group discussions, question answer sessions, one minute papers in my class. This way the students can learn more effectively than what would result from just plain old lecture sessions. But this is only a part of all the new things I have learnt about teaching this semester.

In applying these ideas, I was really fortunate to get such helpful feedbacks from the peer observation and the teaching observation projects. The feedbacks were encouraging but had lots of important suggestions. For example, as mentioned earlier, the practice of breaking the pace of the lecture from time to time, the practice of encouraging the students when solving a difficult problem, by being part of their team in the endeavor rather than just giving out the solution, from a position of superior knowledge. I believe that all these things have been really helpful in improving my teaching and should continue to help me, when I teach this course next time.

Also the complementary experience to being observed was observing faculty members and peers from whom I learnt a lot. Observing some of my peers was almost like being able to observe myself, so it gave a good grip on what works and what does not. For example, if a problem is posed for the students to solve, it might be a good idea to collect the answers, even if only for show, because it imposes a minimal sense of official importance to the procedure and encourages better participation. Also it helps to be cheerful and encouraging, but that varies from person to person.

However, these are only details, important only for preparing for next time. But the memories that I take away from this experience has nothing to do with how hard the course was to teach or how much time I spent preparing notes - rather this has been about being involved with so many amazing young persons, each of whom is as different from the other as possible, and watch with an amused smile, as the scene plays out.

Teaching Experiences

It would be untrue to say that I was not apprehensive when I first started teaching this semester. I am in charge of two lab sessions one of which has strength of 20 and the other 6 students. What made the process more interesting was that several of the students were from diverse backgrounds. Some were students who majored in EE while others were from Bioinformatics or biology. While teaching I have been trying to mixture my passion for exploring new ideas with experiences gained during past sessions. This helps to make the sessions interactive, which not only helps us to explore the content interactively but also the student’s comprehensibility of the content increases with such interactions. For me it was also eye-opening to see the capabilities of my students in such collaborative environment. The students had different level of expertise in different domains and the course matter involves data structure and organization, a core requirement for students in computer science and interesting for those who wants to pursue the understanding of data organization and optimization in computer programs.

Future Goals

The recent years in the technological education has witnessed a tremendous activity in all interdisciplinary fields. Elements of quantum physics and computer science were amalgamated in quantum information processing, molecular biology and Computer Science joined hands to create Bioinformatics, and Mechanical engineers worked with biologists to develop artificial limbs of extraordinary precision and maneuverability. Computer Science in particular, covering an array of fields such as Bioinformatics, Bio-mechanics, Electrical Engineering and Bioengineering, Systems Analysis, 3-D modeling, etc, has shown a tremendous potential for research and also an increasing number of applications in today's world of medicine and technology. So it is well known that future research in the varied fields of science, engineering and humanities will heavily depend on computers in general. As a result of which I look forward to a career of research after my graduation from U.T.E.P.

In view of the above I am currently involved in a lot of research activities to make that goal feasible. I have been working on problems related to Computer Vision, Machine Learning which is my area of interest and have managed to develop some excellent algorithms which are both efficient and cost effective to solve them. My recent research on surveillance motion detection has resulted in a publication which was accepted at the International Conference on Image Analysis and Recognition. Also as a sequel to this work I have developed a Foveal Visual System which simulates the behavior of a system that detects motion in real time using low resolution images and then foveates the area of interest similar to a human eye. I will be submitting this work very recently in a renowned Computer Vision Conference.

Apart from the above I have been also worked in biological sequence analysis research such as RNA structure prediction mechanisms using Machine Learning algorithms formally known as "Optimizing cut in RNA sequences using Machine Learning" or “Predicting the 3D structures of protein molecules using Electron Microscopic Cryo images” etc. Some of the other vision related projects include “Face Detection using Principal Component Analysis”, “Face Recognition and Tracking" and “Automatic Image Enhancement using a Genetic Algorithm”.

My motivation in research and ability for independent thinking is amply vindicated through my projects and my continued interest in them and a lifetime devoted to research seems to be the most exciting proposal for me. Being a researcher in computer science would enable me to solve real world problems first hand and thereby serve the society most directly. I feel that this is a most rewarding vocation and definitely one that I intend to pursue after my graduation.

Resources at UTEP

While writing research papers in scientific journals a significant portion of the work is dedicated to literature review. As a student of UTEP this has proved to be quite simple due to the numerous facilities that exist for students who have to simply login to the system and download related material of choice. Especially the library database that has a well established collection of journals, scientific magazines, e-books reduces much of the time and effort in actually retrieving a copy of the required material. Also since all of these materials are licensed under the University of Texas system Copyright Act the legal hazards associated also are taken care of.
Another facility which many students and I myself have used extensively is the my utep system which has a large number of resources listed under it for online services. These includes the Goldmine for registration purposes, the mspace for allowing students to upload and download documents, and the Blackboard learning system which helps students to take online courses. For example I have often made payments for my courses online using the Goldmine credit payment system which has in fact proved to be quite useful since I did not have to turn up at the Academic Services building to pay my tuition. Similarly in the case of mspace I have often uploaded documents and important material related to my T.A. work or my research and instead of having the fear of losing it all the time simply downloaded the necessary from the Internet. On the other hand Blackboard was a facility that I recently learnt of since I have not taken any online courses before. I was hoping we could make use of it even for regular courses like in the case when the faculty uploads an assignment and we finish the assignment on time and submit it online.

Apart from all the resources mentioned above I have also learnt about a recent one known as the 'Turnitin' where as a T.A. or faculty it is easy to detect plagiarized documents submitted by the students. But I am not sure about the rate of accuracy involved in such predictions or how much useful it would prove to be in the case when there is a match with documents belonging to students of the previous year.

Research Philosophy

In addition to my graduate and undergraduate coursework, I have had the opportunity to work on some projects and supervised research. This has helped me gain insight into both the practical and the theoretical aspects of computer science as well as develop the analytical skills, the knowledge base and the level of maturity necessary for excelling in graduate studies and research. My current research is based on “Real time Motion Detection using Structure and Color” which has recently been accepted in the International Conference of Image Analysis and Recognition (ICIAR), 2009. Here detection using structure is carried out with the aid of information gathered from the Census Transform computed on gradient images based on Sobel operators and using color is done by computing temporal histograms, which allow efficient characterization without prior assumptions about color distribution in the scene. Also work is in progress for Developing a Foveal Visual System which was submitted at IEEE Workshop on Applications of Computer Vision (WACV) at Snowbird Utah, 2009.

I have been also worked in sequence analysis research such as RNA structure prediction mechanisms using Machine Learning algorithms formally known as "Optimizing cut in RNA sequences using Machine Learning". Apart from that my research activities include “Face Detection using Principal Component Analysis”, “Face Recognition and Tracking”, and “Predicting 3D structures of protein molecules” etc. However it was my undergraduate project on “Automatic Image Enhancement using Genetic Algorithms” that developed my interest in Computer Vision especially in Image Processing Techniques. The genetic algorithm has the capability to find an optimal solution and hence GA is used to determine the value of the parameters and multipliers, to obtain the exact form of the function for image enhancement. Here enhancement is being done by gray level rescaling where each pixel is directly quantized to a new gray level in order to improve the contrast of an image and the evaluation function is needed for quantifying the desired amount of enhancement.

I look forward to a career of research in the broad area of Computer Science after completing my graduate education at UTEP. It is well known that future research in the varied fields of science, engineering and humanities will heavily depend on computers in general. Being a researcher in computer science would enable me to solve real world problems first hand and thereby serve the society most directly. I feel that this is a most rewarding vocation and definitely one that I intend to pursue after my graduation.

Observations

In the fall of 2007 I was teaching the same course as I am teaching now in Elementary Data Structures and Algorithm. It was the first time I was doing a T.A. and I was a bit shaky. My classes revolved more around the traditional ways of teaching techniques involving fewer interactions with the students. As a result of which I had a lot of class reviews which directly stated that I needed to be more interactive and use active learning strategies such as group discussion, pair-share, problem-solving or the minute paper.
So this time I started with that in my mind and not surprisingly I have completed almost three parts of the semester using this strategy and I have been doing pretty well. Also one thing that has to be kept in mind is that this course is not the easiest to teach, covering a syllabus that would normally have been taught in almost 2 dedicated courses. The benefit of a course like this is that, the student gets a very broad overview of all these interrelated topics such as programming, design and partial analysis of algorithms. But on the other hand, because of a huge and diverse syllabus, all of which are again interdependent, if anybody gets left behind, it is really difficult to catch up. Teaching this course is made even more difficult by the fact that the audience is from a very diverse background. There are students from Electrical Engineering, students from Computer Science, students from Engineering Science and several others. Each of these students has different reasons, motivations and interests. So the course had to be constructed and presented in such a way, to be of use to everybody.
 In applying these ideas, I am really fortunate to get such helpful feedbacks from the peer observation and the teaching observation projects. The feedbacks are encouraging but have lots of important suggestions. For example, as mentioned earlier, the practice of breaking the pace of the lecture from time to time, the practice of encouraging the students when solving a difficult problem, by being part of their team in the endeavor rather than just giving out the solution, from a position of superior knowledge. I believe that all these things have been really helpful in improving my teaching and should continue to help me, when I teach this course next time.

Uncertainties in Professional Development Plan

“All the world's a stage”. Nowhere do Shakespeare’s eternal words ring more true than in the teaching profession. Each time a professor faces his class, it’s a challenge, and it’s a performance. Now sometimes in class I have a tendency to ask trivial questions to make sure everybody understands what I am trying to say. As a result, an estranged silence follows that does not signify the ability but indifference towards answering the question. On the other hand answering difficult questions involves understanding as well as assimilation of the material, and that takes time. The result of such a question is again an awkward silence. The trick, it appears is to ask the right questions which will challenge the students without intimidating them.

Similarly in a big class full of students with a wide range of intellectual abilities, there is often a natural tendency on my part to advance at a rate suitable to the more gifted students. In all fairness, that does not seem the right approach, rather the right speed has to be struck, so that no one is left behind. However I do try to know each of my students by name, but more than that, as persons. I believe it is this personal touch which makes all the difference. Obviously, all this is no substitute for knowledge and the content of the course but I think this creates the perfect friendly atmosphere where everybody can participate whole heartedly.

Also with the best interest of the students in mind, I often challenge my students with all sorts of interesting problems while teaching. And it is gratifying to note that the students could stand up to the challenge making the whole teaching process highly interactive. Interactive teaching has its pros and cons. As students you always have to be on your toes, but that way you really imbibe what you learn.

The most effective method that can be employed in this respect is to help students understand and retain the material discussed in class is through continuous evaluation and instant feedback. In fact every day felt like a quiz – not a formal intimidating quiz, but quite an exhilarating challenge which will help them take interest in the subject and retain as much as possible.