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INTERV<br />

DTU Times interviewed Prof. Mohan M. Trivedi,<br />

Electrical and Computer Engineering, University of<br />

California, San Diego, who was the Guest of Honour at<br />

the 1 st International Conference on Signal Processing,<br />

VLSI and Communication Engineering organised at DTU.<br />

How have you seen the field of Computer<br />

Vision and Robotics evolve over the years?<br />

When you’re a part of the journey, you don’t<br />

notice much. But the key change that has<br />

taken place is that the resources available have<br />

increased multifold. When I was a graduate<br />

student doing object detection, we used to look<br />

at wildlife through aerial sensors and it would<br />

take us days to get results. But today when<br />

students perform such analyses, vast results are<br />

obtained in a jiffy. One of the most remarkable<br />

achievements was the incorporation of<br />

Machine Learning. Prior to that, we used<br />

predefined features, which needed specific<br />

knowledge of the data. Today, we have data<br />

for every feature available for learning.<br />

Do you think a motivating factor is needed for<br />

students to pursue research?<br />

Most successful students I’ve seen have a high<br />

amount of self-motivation. Whenever I need to<br />

bring in new students, I tell them to interact with<br />

other students of the group since peer-to-peer<br />

interaction is extremely crucial. I make it<br />

certain that they are respectful of others’ ideas and<br />

thereby help out one another. When they do so,<br />

they enjoy working and collaborating.<br />

What is the biggest challenge that the<br />

Robotics industry faces even today?<br />

Safety, Robustness, Generalisation and Human<br />

Centeredness. I believe that making a one-of-akind<br />

robot is no big deal, but making it<br />

robust and able to work in a variety of<br />

situations as well as interact with humans is very<br />

important, which hasn’t yet been achieved. There<br />

are a lot of open issues still left unresolved. Today, a<br />

robot that works in an artificial environment is<br />

not needed; what’s required is one which works<br />

in real-life situations with continuous<br />

interaction, without humans feeling threatened or<br />

stressed.<br />

DTU Times interviewed Dr. S.C. Dutta Roy,<br />

former Professor, Indian Institute of Technology<br />

Delhi, who was the Guest of Honour at the 1st<br />

International Conference on Signal Processing, VLSI<br />

and Communication Engineering organised at DTU.<br />

What, according to you, is the best way of<br />

learning, a teacher teaching physically, a<br />

lecture series or reading about it from a book?<br />

You must combine all of these. But the most<br />

important thing is not to accept any notes from<br />

anyone. Unless you are satisfied, don’t give<br />

up! If a teacher says something which is not<br />

appealing to you then ask why. If the teacher<br />

is clueless then don’t stop, instead go on asking<br />

until the teacher is forced to explain. The<br />

same is the case with your parents, or for that<br />

matter anyone else. Unless you are satisfied,<br />

DTU Times • February - April 2019 • 24<br />

never stop trying. Always listen to and go by your<br />

conscience. Your conscience can never be wrong!<br />

How do you think that the field of Electronics<br />

and Communication Engineering has changed<br />

over the years?<br />

Well, firstly it was a composite branch. All branches<br />

grew larger in size and bifurcated into parts such<br />

as Electrical Engineering and Computer Science<br />

Engineering. But Electronics and Communication<br />

Engineering is still a composite discipline. It has its<br />

wings in various fields.<br />

What are your views on the various rules that<br />

regulate research at educational institutions?<br />

Any level of freedom must be coupled with<br />

self imposed discipline. And therefore,<br />

autonomy doesn’t mean that you can do<br />

anything. You must contemplate why it is given to<br />

you and you must work within the limited frame.<br />

Similarly, in life, you are a free person but you<br />

must be bound by some self-imposed disciplines.

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