WEBVTT Kind: captions Language: en 00:00:12.860 --> 00:00:18.980 So my expertise lies in the broad area of computing, communications, and machine learning. 00:00:18.980 --> 00:00:24.640 Especially those that are done on the edge of the network and on mobile and small devices 00:00:24.640 --> 00:00:29.980 such as smart phones, laptops, vehicles and even in small microcontrollers, and smart meters. 00:00:29.980 --> 00:00:35.540 I'm also very interested in exploring how these technologies can be used to build 00:00:35.540 --> 00:00:43.660 kind of technologies that has to do with the Internet of Things, autonomous systems, and intelligent transportation. 00:00:51.020 --> 00:00:55.080 Okay so Queen's School of Computing is one of the most reputable 00:00:55.080 --> 00:01:00.960 computing schools in Canada and worldwide. So I wanted to be part and contribute to its legacy. 00:01:00.960 --> 00:01:06.160 One other reason reason that attracted me to Queen's computing specifically is 00:01:06.160 --> 00:01:09.400 it's kind of central location between three major hubs in North America 00:01:09.400 --> 00:01:15.620 that are heavily packed with ICT companies, information and communication technologies companies, 00:01:15.620 --> 00:01:19.940 which means that all the educational and research activities that we do here 00:01:19.940 --> 00:01:24.120 has to be related to what industry requires. 00:01:24.120 --> 00:01:29.980 So basically whatever I need to teach will have to be at least ahead, if not even two steps ahead, 00:01:29.980 --> 00:01:36.660 from what industry provides and also my research that has to be also industry driven. 00:01:36.660 --> 00:01:43.140 Such that, it can be easily marketable and also can be applied to impact society. 00:01:52.040 --> 00:01:56.360 So I'm really interested in optimizing how mobile and resource-limited devices 00:01:56.369 --> 00:02:01.030 can collaborate among themselves to try to kind of handle a large number of 00:02:01.030 --> 00:02:04.509 simultaneous computing tasks or more importantly learn from their 00:02:04.509 --> 00:02:09.459 individually gathered data and all this among themselves and with minimal or 00:02:09.460 --> 00:02:14.320 limited reliance on the cloud and kind of the centralized services. 00:02:14.320 --> 00:02:19.420 So basically this can be, you can think of that as being, some autonomous vehicles trying to 00:02:19.420 --> 00:02:22.630 collaborate together to have better perception of the road or make better 00:02:22.630 --> 00:02:26.740 driving decisions to have all reach where they want to go 00:02:26.740 --> 00:02:29.820 or you can think of that as some smart meters trying to collaborate 00:02:29.830 --> 00:02:33.519 to have a better energy management or decide which load should be charging 00:02:33.519 --> 00:02:37.420 first which whose car should be charging first based on their requirements and 00:02:37.420 --> 00:02:41.680 the list can go on and on to many many applications for smart cities. 00:02:50.400 --> 00:02:54.460 Well I believe that the next 10 years will be the pinnacle of my area of research. 00:02:54.470 --> 00:02:59.360 So we all see how people, governments, municipalities, they 00:02:59.360 --> 00:03:02.540 are very aggressive in trying to transform everything into automated and 00:03:02.540 --> 00:03:06.620 smart services. That requires them to have a lot of connected, billions and 00:03:06.620 --> 00:03:11.100 billions of connected, devices that already being deployed and we have even more coming on. 00:03:11.100 --> 00:03:14.450 So and if we do that all or send that all to the to kind 00:03:14.450 --> 00:03:17.360 of centralized you need to do that this will kind of be impossible. This will 00:03:17.360 --> 00:03:20.540 hinder the capacities of communication links, it will hinder the capacities or 00:03:20.540 --> 00:03:26.269 the capabilities of these cloud servers to achieve the required performance in 00:03:26.269 --> 00:03:30.170 the required time or the required speed. So this is where my research comes into 00:03:30.170 --> 00:03:33.260 play as a savior for this kind of long way to dream to have these kind of smart 00:03:33.260 --> 00:03:40.360 and fully automated cities. As that, we try to have these devices to bear a good share or 00:03:40.360 --> 00:03:44.540 a good amount of this of this processing and analytics onboard or in the local setting. 00:03:44.540 --> 00:03:49.220 So that we can leave only the big tasks and long term planning for the cloud service 00:03:49.220 --> 00:03:53.700 to be able to be to handle them in a kind of appropriate performance and speed. 00:04:02.900 --> 00:04:08.040 Well my research changed or took the same trend as the what we have seen in 00:04:08.050 --> 00:04:11.680 the information in communication rhythm for the last two decades. So when I 00:04:11.680 --> 00:04:16.750 started my PhD around the 2005-2006, the world was trying to push a lot of 00:04:16.750 --> 00:04:21.380 storage data and processing upwards toward the cloud at that time. 00:04:21.380 --> 00:04:26.000 So at that time my role in my masters and PhD research were to try to facilitate that 00:04:26.000 --> 00:04:31.720 by improving communication between these systems having established 00:04:31.720 --> 00:04:36.460 very strongly established communication protocols and also cloud computing applications. 00:04:36.460 --> 00:04:40.340 But then, as we are now moving towards the smart cities area 00:04:40.340 --> 00:04:44.360 where we trying to push things more down, to be able to handle the huge amount of data 00:04:44.360 --> 00:04:47.960 that is being generated, my research actually followed that as well. 00:04:47.960 --> 00:04:50.340 And we actually focused more on the edge side of things 00:04:50.340 --> 00:04:56.260 and then this will also comes into play with how this technology will be 00:04:56.260 --> 00:05:00.860 able to handle the new trends of smart cities, autonomous vehicles, ominous drones. 00:05:00.860 --> 00:05:06.260 So all these applications require this kind of pushing down of some of the capabilities 00:05:06.260 --> 00:05:10.320 towards the edge and this is where I'm actually focused nowadays. 00:05:18.840 --> 00:05:22.740 Passion to innovate, so this is actually looking into this kind of 00:05:22.750 --> 00:05:25.780 strong urge to explore the unknown try to advance our knowledge to be able to 00:05:25.780 --> 00:05:31.720 come up with technologies and solutions that can help improve human kind of 00:05:31.720 --> 00:05:35.420 activities and human lives and our kind of well-being in general. 00:05:35.420 --> 00:05:40.440 So once this is there then, actually this will actually make the process of having the other 00:05:40.449 --> 00:05:45.069 kind of skills such as perseverance, hard work, all these kind of things 00:05:45.069 --> 00:05:48.480 they'll come naturally but most importantly in a joyful manner. 00:05:48.480 --> 00:05:52.160 So I'm actually really interested in the future students will enjoy the ride. 00:06:01.180 --> 00:06:04.919 Well it's now clearer than ever to all governments and businesses that data 00:06:04.919 --> 00:06:09.000 will be the new oil of the century and computing systems will be the new 00:06:09.000 --> 00:06:13.860 refineries that will produce the most valuable outputs in the entire planet. 00:06:13.860 --> 00:06:18.720 So studying computing is basically now the is like buying the kind of the most 00:06:18.720 --> 00:06:22.500 precious ticket store the future of employment, the future of innovation, the 00:06:22.500 --> 00:06:28.940 future of pushing the edge of all human knowledge and improving human lives. 00:06:28.940 --> 00:06:34.760 Also, I think that computing will no longer be restricted to or a computing education 00:06:34.770 --> 00:06:37.919 will not be restricted any longer for only Computer Sciences because I believe 00:06:37.919 --> 00:06:40.800 that and many other fields are not getting more and more reliant on 00:06:40.800 --> 00:06:45.270 computing systems so we'll find well I think I believe that many experts in 00:06:45.270 --> 00:06:49.440 other areas such as surgeons, such as urban planners, such as test transportation 00:06:49.440 --> 00:06:54.520 engineers, you name it, they will actually have to have a very good training and education 00:06:54.520 --> 00:07:00.040 on some computing systems to be able to handle their daily or everyday activities. 00:07:00.040 --> 00:07:05.860 So basically this is how computing is influential and this is how any person 00:07:05.880 --> 00:07:11.180 who's interested in studying computing will be impactful in the in the near future. 00:07:20.160 --> 00:07:24.400 Well what I like most about computing is it's tremendously growing ability to 00:07:24.400 --> 00:07:30.699 impact a broad range of applications nowadays. So I feel myself now actually 00:07:30.699 --> 00:07:34.960 getting to know and get in depth you know how can I apply what we learn here. 00:07:34.960 --> 00:07:39.430 We can do with computing to many areas I can work with doctors, I can work with as 00:07:39.430 --> 00:07:42.449 a transportation engineers, I can work with urban planners, I can work with 00:07:42.449 --> 00:07:46.840 soccer trainers. So it's like we're impacting everyone's lives and that's 00:07:46.840 --> 00:07:51.430 something that is really exciting for me. Another side of what I really enjoy 00:07:51.430 --> 00:07:54.840 about computing is also the fact that we are very rigorous in what we do. 00:07:54.840 --> 00:07:57.900 So whenever we say that we have proven something or we have built something or 00:07:57.900 --> 00:08:01.360 have something programmed to do something we are actually a hundred percent or what we say. 00:08:01.360 --> 00:08:10.020 We're not open to statistical uncertainties as they may happen in other fields. 00:08:19.440 --> 00:08:22.580 So I'm very interested in space explorations and fact that we can 00:08:22.590 --> 00:08:25.410 populate other planets nowadays is another something that is really 00:08:25.410 --> 00:08:30.780 inspiring think of. Also, over I'm very interested in physics. I'm very 00:08:30.780 --> 00:08:34.560 interested in how this huge kind of awesome machine called the human body or 00:08:34.560 --> 00:08:39.000 kind of kind of all kind of organisms living organisms they interact and 00:08:39.000 --> 00:08:42.690 behaves with more interest towards the kind of human brain and how it's 00:08:42.690 --> 00:08:49.709 actually kind of learns and recognize things because that also maybe has some 00:08:49.709 --> 00:08:53.459 relations what we do here in computing. But then again let me say that all these 00:08:53.459 --> 00:08:57.570 areas I cannot really say that they're outside computing really nowadays 00:08:57.570 --> 00:09:02.399 because, again, as I said earlier that two main kind of big progress in these areas 00:09:02.399 --> 00:09:06.959 it's kind of really now dependent and heavily relying on computing system so I 00:09:06.960 --> 00:09:11.600 like to think of you know kind of trying to help them contribute to these areas as well. 00:09:20.340 --> 00:09:24.079 So I like a lot to read although I can barely say that I have enough time to 00:09:24.079 --> 00:09:30.949 read with all the work you've been doing. Also, I like to swim a lot. I like to 00:09:30.949 --> 00:09:34.699 follow sports and I'm actually very kind of enthusiastic nowadays because of the 00:09:34.699 --> 00:09:39.589 last one of the Raptors the incoming the East it kind of East Conference 00:09:39.589 --> 00:09:43.069 champions that's really exciting for me and also playing sports, like the one 00:09:43.069 --> 00:09:48.350 with racquet specifically. And then also I enjoy a lot going to nature like 00:09:48.350 --> 00:09:53.600 blending with nature staying kind of going into camps, having hikes, and pure 00:09:53.600 --> 00:09:59.420 nature that also kind of helps me focus and we got more kind of relaxed.