MS.Offer [ME@UDel vs @StevensIT]

代友发帖求教（HIT）。

收到两个offer， 有点犹豫
1， university of delaware， ME， 是9个月TA+剩下的RA的形式。 没有找到advisor， 学校说可以在11年年底之前找好advisor就好。2200刀每月。我试着联系了一个我非常想去的老师，尝试了两次，都没有收到回信，这个老师看他的简历上是没有项目的，或者他没有写。也有可能这些老师都是去了之后再决定学生的。但是有点担心。另外，这个学校有个优势是好几个人都收到了，估计将来会有人同去的。
2， stevens institute of technology， ME， 是RA的形式。 是一个老师提前告诉我的我被录取了，说是很快可以拿到正式通知，没套过。 看了一下，这个老师拿到了NSF的career奖金， 从11年初到16年，另外还有一个pending的项目，所以估计项目资金上是不成问题的，可以很好的支持我毕业。

小弟是机器人方向，希望仍然读机械电子的博士，做机器人方向的研究。将来希望去工作。

各位同学提提意见啊！

2200/month..在delaware这种免税的地方，这个价位真是happy啊

纯就花花世界分析。。。作为参考

Delaware没有消费税，可以做做二道贩子啥的，不过没消费税州税一般不低
SIT对面就是ny的花花世界，那真是一个美丽的地方。。。

完毕。。。

楼主我也是HIT！！！我也收到了UDel~求这同学的联系方式~

召唤IQ大来说说UDel……
偶更倾向于Udel,无它，就是觉得SIT听着不好听………………大鹏学长无视我吧

同拿到UDel。机械系正在圈地招人，扩建中。

看过SIT的网站，发现EE里面不是老中就是老印，老白还都快退休那种的
再加上这家无耻的给了我一个ad，不喜欢
纯个人感想

UPdate：
昨天我跟我同学聊了一下，他说 前任工程院的院长搞了100M的赤字。 我同学是EE的，已经去了两年了
然后小米告诉我说必须有funding才能做advisor。
另外，UD那个机械系的人告诉我说他们最近在招兵买马，搞扩建，给我的感觉不差钱。那封信我附在附件里了。
然后我跟那个老师联系好多次了，都联系不上。
下边是stevens这个老师回复我的。他的研究方向我不太想去，感觉是很理论的东西，都是什么图论
RESEARCH INTERESTS


My main interests lie in the general area of controls and automation. In particular, during the past years I have been working on control of networks. Examples are networks of mobile robots, networks of sensors, social networks (facebook), or biological networks (gene or metabolic networks). The main control problem here is the regulation of the network structure so that the overall system has a certain behavior. For example,


-- In mobile robotics you want to control the robots so that the communication network is connected and/or the robots create a formation (e.g., to capture an intruder).


-- In sensor networks you want to determine the location of the sensors so that they can monitor an area of interest optimally.


-- In social networks you want to determine how rumors can be spread as function of the friendships in the network.


-- In biological networks you want to identify the structure of the network and determine pathways that can be regulated. Regulating these pathways controls the output of the networks, which is typically proteins that play a significant role in disease formation.


Networked systems are becoming very common recently. They are more robust and modular, since for example if robots fail, the remaining group can still accomplish a mission. In robotics, these networks can reconfigure depending on the particular task. For example they can become a chain to pass through a narrow passage or a ring to capture an intruder. Also, form an application perspective, these networks are cheap to maintain. They are composed of large groups of cheap agents, that if they fail they can be easily replaced. Examples in robotics include UAVs (Unmanned Aerial Vehicles), UGVs (Unmanned Ground Vehicles), UUVs (Unmanned Underwater Vehicles), or combinations of the above.


In terms of control, these networks are essentially systems composed of large numbers of smaller systems. In other words, they are composed of large numbers of agents such as robots with their own dynamics, which are interconnected by a communication medium such as wireless communication, friendships (facebook), or gene-to-gene interactions (biological networks). The interaction between the agent dynamics and the communication medium creates the networked system that I described above.


Modeling networked systems typically requires a combination of continuous dynamics (e.g., differential equations that regulated the robots’ motion) and discrete dynamics (e.g., communication messages transmitted between the agents). This combination results in a so called hybrid system. Control of hybrid systems is a difficult problem. In fact, it is possible that by switching between two stable linear systems one can get an unstable system.

The mathematical tools that are necessary to study networked systems are mainly linear and nonlinear systems, optimization, graph theory and hybrid systems. Depending on the problem, one may also need stochastic systems and optimization (for example to deal with uncertainty/noise in communication or localization) or game theory for coordination between the agents (Coordination can sometimes be modeled as an economic game, where the agents bid for some commodity, e.g., their location in a formation.).


CURRENT PROJECTS


So, the above covers more or less my research interests. Let me tell you a bit about current projects: (If you would like to take a look at specific papers, please visit my research page: http://personal.stevens.edu/~mzavlano/research.html. For every research topic/project you can find 1-4 related papers.)


(a) One project (as you saw in my website) is funded by an NSF CAREER Award and is essentially on determining ways to integrate discrete and continuous dynamics in mobile communication networks. This involves developing distributed, robust and optimal algorithms, characterizing the performance of these algorithms in terms of the number of robots (typically, good algorithms run fast even for many robots), integrating richer models of communication (e.g., power control and environmental interference), integrating richer robot dynamics (e.g., quadrotors or UAVs) and complex environments (e.g., indoor navigation and obstacle avoidance), and connecting these results to existing literature in mobile robotics that employs graph theory.


(b) Another project that I am currently working on (this is new and is not on my website yet) is coordination in communication adverse environments. These are environments where communication is very difficult. For example, underwater, where the signal strength is typically very low. The main problem there is how to allow the robots to perform their individual tasks, but at the same time coordinate them to exchange information. An important application here is underwater surveillance of harbors. Every robot needs to monitor its own region, but they also need to transmit this information to a user. If you allow the robots to surface, then they can become targets, so maybe they need to perform this coordination underwater.


(c) Another interesting problem I an currently working on in collaboration with Prof. Cappelleri at SIT is on the design and control of groups of hybrid vehicles (this is again new and it is not on my website). The hybrid vehicles we are trying to develop (we already have some experimental testbeds) are robots that can both swim underwater and fly. There are two important control problems here. The first is related to controlling these robots underwater and in the air. Clearly, their design can not be optimal for any environment, so tradeoffs need o be explored. The second challenge is controlling groups of these robots, with some operating underwater and some in the air, so that they perform, e.g., a surveillance task.


(d) Another project, again in robotics, is related to assignment problems (this you can find on my website).


(e) I am also interested in biological networks and Systems Biology (again you can read a bit about this on my website), and we are currently starting at SIT a new cross-disciplinary program in bioengineering.


So, you could work on most of these projects if you wanted to. However, I am also open to and highly welcome students that would like to work on their own idea/project, as long as it is related to control and automation in some way. In fact, a PhD is not only about problem solving, but also about thinking. Coming up with your own ideas is the best way to do a high quality and competitive PhD.


OTHER USEFUL INFORMATION


I would also like to mention here that I very much encourage collaborative research. One person can do good things on their own but many people can do great things together. I currently have many ongoing collaborations with other researchers, with most active ones being with the University of Pennsylvania, the University of Delaware and of course with SIT.


One last thing I wanted to mention is that my work is more theoretical, in the sense that I am interested in developing algorithms and controllers for robots, or other control and networked systems. I don’t do much robot design myself. However, I have always been collaborating closely with more experimental researchers to test the algorithms I have been working on. Currently I have a close collaboration with Prof. Cappelleri from SIT. So, one important thing to know is, what style of research you prefer. Do you like more hands on work (e.g., designing and building new robots) or theoretical work (e.g., controlling robots and in general systems)?

lz最后从哪个？

回复 9# buerliu
他还在犹豫，有些倾向于stevens了