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 10 pieces of advice I wish my
  PhD advisor had given me
                      Jim Kurose
          Department of Computer Science
             University of Massachusetts
                  Amherst, MA USA
          http://www.cs.umass.edu/~kurose




With great affection and apologies
to my advisors




                                   Yechiam Yemini
 Mischa Schwartz, EE Department,   CS Department
 Columbia University               Columbia University


and a disclaimer…..




                                                         1
#1
                 study
                 broadly
  I wish I’d     Take math courses!
 taken more       every math course
math courses!      I’ve taken has
                   been valuable
                  won’t have time
                   later
                  research fields
                   draw increasingly
                   on math as they
                   mature
                  theory is timeless!




                                   #1
                 study
                 broadly
  I wish I’d    Important courses
 taken more       outside CS
math courses!    signal processing
                 control theory
                 information theory
                 nonlinear optimization
                 stochastic processes
                 game theory
                 domains: systems
                  biology, economics,…




                                           2
#1
                                                      study
                                                      broadly
     I wish I’d                                      you will never
    taken more                                        again have so
   math courses!                                      much “relaxed”
                                                      time to study,
                                                      learn, think

                                                      Sorry for that piece
                                                      of bad news… but
                                                            it’s true




 Choosing, defining a research                                        #2
 problem
                                  pick your problems carefully!
                                      what’s the fundamental issue
                                       you’re solving?
                                      will the problem be of interest
                                       five, ten years from now?
                                      focus on fundamentals in a
                                       world with an increasingly short
                                       attention span
                                             QoS
                                              multicast
A fool can ask more                            congestion control
questions in a minute                            P2P
than a wise man/woman                              sensor networks
(or a Yoda) can answer in a lifetime                 energy




                                                                             3
Choosing, defining a research
      problem
                                                          There are lots of smart
                                                            people out there!
                                                           avoid crowded areas
                                                            unless you have a
                                                            unique talent, viewpoint
                                                                low-hanging   fruit has
                                                                 been picked
                                                                researchers working on
                                                                 “next big thing” are not in
                           Wisdom of crowds?                     the crowd
                                                             take risks (it’s research)




      Choosing, defining a research
      problem
                                                               complexity,
                           solutions proposed
                                                                sophistication are
                                                                themselves not of
solution complexity




                                                                interest
                                      solutions in use
                                    !!                         simple is sometimes
                                                                harder!
                                     understanding of
                                     problem area
                      !!
                      early middle late             time


    [adapted from Hluchyj 2001]
                                                         maximum impact / mindshare




                                                                                               4
Choosing, defining a research
problem
solution space               avoid point solutions
                              insights that cut across
                               solution space vs point
                               solution
                              what broader
                               conclusions can be
                               drawn from your work?

                 .
                         You are here (but shouldn’t be)




                                                             #3
Publishing
                        publish where you will get
                         mindshare, impact
                            there is life beyond sigcomm,
                             infocom
                        quality over quantity:
                           avoid LPUs
                           1 widely-read/referenced
                            paper >> K mediocre papers
                        PhD thesis != magnum opus
                        don’t be driven by conference
                         deadlines
                        don’t submit just to get reviews




                                                                  5
#4
Time: your most precious resource
                                              give yourself time to
                                               think
                                              manage your time
                                               carefully: consciously
                                               choose how you
                                               spend your time
                                              learn to multiplex

                                                             Only “how to” book
                                                             recommended by Bill
                                                             Clinton
             Time
                                                             I’ve given away 50+




                                                                             #5
Learn how to write really well
                                            can not overstress
                                             importance of good writing
                                                the most important course?
                                            “unfair advantage” in
                                             paper, proposal review
                                            outstanding investment of
                                             your time
                                            study role models


"No tale is so good that it can't be
spoiled in the telling”
                                       http://www-net.cs.umass.edu/kurose/writing/
Proverb




                                                                                     6
Top-10 tips for writing a paper
1: Every paper tells a           6. Write precisely (be
  story                            specific, don’t
2. Write top down                  embellish)
3. Introduction: crucial,        7. No one (not even your
  formulaic                        mother) is as interested
4. Master basics of                in this topic as you
  organized writing              8. State results carefully
5. Put yourself in place         9. Study the art of writing
  of reader                      10. Good writing takes
                                   time




Recommended reading:




  Writing for Computer Science
                                     The Elements of Style
  by Justin Zobel
                                     by William Strunk E. B. White
                                     (50 years old – and still a classic!)




                                                                             7
#6
Learn how to speak really well
                       can’t overstress importance of
                        good speaking
                          important course to
                           teach/take?
                       “unfair advantage” in mindshare
                       convey exciting story/message
                          thoughtful
                          engaging
                          clear, concise
                       practice, practice, practice
                         videotape, critique yourself
                         study role models




                                                       #7
Learn the process of doing research

                            our field is a guild
                                grad student = apprentice
                                professor = master artisan
                            it’s about more than the results
                             in your thesis
                                you’ll be generating results
                                 for a lifetime
                                knowing process is what’s
                                 most important
   apprenticeship           why your advisor can’t (and
                             shouldn’t) solve (or even
                             define) the problem for you




                                                                8
#8
Think about what you want to do afterwards
academia:                       industry:
   teaching schools               many different types of
   research-1 schools              industry settings
   big v small; public v             startup
    private                           “big industry”
   country?                          research labs
   do you love (or at least       research institutes
    like) to teach? students?




                                                                #9
A community of scholars
                                   meet people, listen,
                                    collaborate
                                        good students, colleagues,
                                         friends
                                   approach, talk with
                                    people
                                   interactions with peer
                                    students
                                        research discussions
                                        paper presentations
                                        practice talks
                                        ….




                                                                      9
#10
Identify role models
                    who does something
                     you care about really
                     well?
                      how   do they do it?
                    many role models:
                      no  one does everything
                      find your balance

                  get a mentor
                  be a mentor




                                              #11
The last word
                Have fun – enjoy
                 what you are doing


                 Best piece of advice I
                 ever received (1984):
                 “Pick a place, job where you’ll
                 have fun, enjoy living, enjoy
                 your colleagues. Without that,
                 no level of success will make
                 you happy.” Jack K. Wolf




                                                    10
What have others added (1)?
   learn how to deal with rejection
     it’ll
          happen now and then, for the rest of your
      professional life (hopefully not with your partner)
     learn from rejection: Why was paper/proposal
      rejected? What did/didn’t reviewers see/like?
   know your “secret weapon”
     what     “unfair advantage” do you have over everyone
       else?
   learn how to change topics
     boring     to do same thing for 30 years!




What have others added (2)?
   learn how to deal with stress
     life    balance, life changes, too much work
   learn how to multiplex
     you’ll    be doing it the rest of your life
   learn how to read/review/write fast, but well
     and     follow the 90/10 rule




                                                              11
Questions!
 What did I miss?
 What advice would you give to 1st year student?




                                                    12

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15 pieces of advice i wish my ph d advisor had given me

  • 1. 15 14 13 12 11 10 pieces of advice I wish my PhD advisor had given me Jim Kurose Department of Computer Science University of Massachusetts Amherst, MA USA http://www.cs.umass.edu/~kurose With great affection and apologies to my advisors Yechiam Yemini Mischa Schwartz, EE Department, CS Department Columbia University Columbia University and a disclaimer….. 1
  • 2. #1 study broadly I wish I’d Take math courses! taken more  every math course math courses! I’ve taken has been valuable  won’t have time later  research fields draw increasingly on math as they mature  theory is timeless! #1 study broadly I wish I’d Important courses taken more outside CS math courses!  signal processing  control theory  information theory  nonlinear optimization  stochastic processes  game theory  domains: systems biology, economics,… 2
  • 3. #1 study broadly I wish I’d  you will never taken more again have so math courses! much “relaxed” time to study, learn, think Sorry for that piece of bad news… but it’s true Choosing, defining a research #2 problem pick your problems carefully!  what’s the fundamental issue you’re solving?  will the problem be of interest five, ten years from now?  focus on fundamentals in a world with an increasingly short attention span QoS multicast A fool can ask more congestion control questions in a minute P2P than a wise man/woman sensor networks (or a Yoda) can answer in a lifetime energy 3
  • 4. Choosing, defining a research problem There are lots of smart people out there!  avoid crowded areas unless you have a unique talent, viewpoint  low-hanging fruit has been picked  researchers working on “next big thing” are not in Wisdom of crowds? the crowd  take risks (it’s research) Choosing, defining a research problem  complexity, solutions proposed sophistication are themselves not of solution complexity interest solutions in use !!  simple is sometimes harder! understanding of problem area !! early middle late time [adapted from Hluchyj 2001] maximum impact / mindshare 4
  • 5. Choosing, defining a research problem solution space avoid point solutions  insights that cut across solution space vs point solution  what broader conclusions can be drawn from your work? . You are here (but shouldn’t be) #3 Publishing  publish where you will get mindshare, impact  there is life beyond sigcomm, infocom  quality over quantity:  avoid LPUs  1 widely-read/referenced paper >> K mediocre papers  PhD thesis != magnum opus  don’t be driven by conference deadlines  don’t submit just to get reviews 5
  • 6. #4 Time: your most precious resource  give yourself time to think  manage your time carefully: consciously choose how you spend your time  learn to multiplex Only “how to” book recommended by Bill Clinton Time I’ve given away 50+ #5 Learn how to write really well  can not overstress importance of good writing  the most important course?  “unfair advantage” in paper, proposal review  outstanding investment of your time  study role models "No tale is so good that it can't be spoiled in the telling” http://www-net.cs.umass.edu/kurose/writing/ Proverb 6
  • 7. Top-10 tips for writing a paper 1: Every paper tells a 6. Write precisely (be story specific, don’t 2. Write top down embellish) 3. Introduction: crucial, 7. No one (not even your formulaic mother) is as interested 4. Master basics of in this topic as you organized writing 8. State results carefully 5. Put yourself in place 9. Study the art of writing of reader 10. Good writing takes time Recommended reading: Writing for Computer Science The Elements of Style by Justin Zobel by William Strunk E. B. White (50 years old – and still a classic!) 7
  • 8. #6 Learn how to speak really well  can’t overstress importance of good speaking  important course to teach/take?  “unfair advantage” in mindshare  convey exciting story/message  thoughtful  engaging  clear, concise  practice, practice, practice  videotape, critique yourself  study role models #7 Learn the process of doing research  our field is a guild  grad student = apprentice  professor = master artisan  it’s about more than the results in your thesis  you’ll be generating results for a lifetime  knowing process is what’s most important apprenticeship  why your advisor can’t (and shouldn’t) solve (or even define) the problem for you 8
  • 9. #8 Think about what you want to do afterwards academia: industry:  teaching schools  many different types of  research-1 schools industry settings  big v small; public v  startup private  “big industry”  country?  research labs  do you love (or at least  research institutes like) to teach? students? #9 A community of scholars  meet people, listen, collaborate  good students, colleagues, friends  approach, talk with people  interactions with peer students  research discussions  paper presentations  practice talks  …. 9
  • 10. #10 Identify role models  who does something you care about really well?  how do they do it?  many role models:  no one does everything  find your balance  get a mentor  be a mentor #11 The last word Have fun – enjoy what you are doing Best piece of advice I ever received (1984): “Pick a place, job where you’ll have fun, enjoy living, enjoy your colleagues. Without that, no level of success will make you happy.” Jack K. Wolf 10
  • 11. What have others added (1)?  learn how to deal with rejection  it’ll happen now and then, for the rest of your professional life (hopefully not with your partner)  learn from rejection: Why was paper/proposal rejected? What did/didn’t reviewers see/like?  know your “secret weapon”  what “unfair advantage” do you have over everyone else?  learn how to change topics  boring to do same thing for 30 years! What have others added (2)?  learn how to deal with stress  life balance, life changes, too much work  learn how to multiplex  you’ll be doing it the rest of your life  learn how to read/review/write fast, but well  and follow the 90/10 rule 11
  • 12. Questions!  What did I miss?  What advice would you give to 1st year student? 12