forked from bamos/cv
-
Notifications
You must be signed in to change notification settings - Fork 0
/
cv.yaml
210 lines (185 loc) · 7.71 KB
/
cv.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
name:
first: Emir
last: Ceyani
# phone: ~(540)~947~1238
email: ceyani@usc.edu
pdf: /data/cv.pdf
src: https://github.com/emirceyani/ceyani-websitev2
url: "ceyani.io"
social:
github: emirceyani
twitter: ceyaniemir
linkedin: emir-ceyani
google_scholar: VzqEN78AAAAJ
semantic_scholar: 51219213
# Erdős number is at most 4.
# (Brandon Amos -> Layne Watson -> Leroy Kelly -> Zoltán Füredi -> Paul Erdős )
# LaTeX formatting.
style: banking # casual, classic, oldstyle, or banking
color: burgundy # blue, orange, green, red, purple, grey and black
color2: '0.25,0.25,0.25' # Make the font under the name a darker grey.
# (tag, section type, title)
order:
- [about, Short Bio]
# - [news, News]
#- [current_position, Current Position]
- [research_interests,Research Interests]
- [education, Education]
- [all_publications, Publications]
- [positions, Previous Positions]
# - [selected_publications, Selected Publications]
# - [activities, Activities]
- [honors, Honors \& Awards]
- [talks, Invited Talks]
#- [advising, Students \& Advising]
- [service, Professional Activities]
- [coursework, Selected Courses]
# - [teaching, Teaching]
- [repos, Repositories]
- [skills, Skills]
about:
I am a Ph.D. student in \href{https://www.avestimehr.com/}{<b>Prof. Salman Avestimehr</b>}'s Information Theory and Machine Learning (vITAL) research lab at the <b>University of Southern California (USC)</b> in Los Angeles .
I pursue research on the foundations and applications of <b>federated learning</b>, <b>graph neural networks</b>, <b>probabilistic deep learning</b>, and <b>information theory</b>. I seek to design learning algorithms that can effectively handle the non-I.I.D. nature of real-life data in federated setting. I try to actively contribute to \href{https://github.com/FedML-AI/FedML}{FedML}, a promising research library for federated learning
as I believe that federated learning systems should be accessible for everyone.
Previously, I was a Master's student at Bilkent University, Ankara, Turkey, and an R&D engineer at Turkcell Technology under my master’s advisor, \href{https://www.linkedin.com/in/ergut/}{<b>Dr. Salih Ergut</b>} with a prestigious 5G & Beyond Graduate Support Program.
research_interests:
Federated learning, graph neural networks, approximate Bayesian inference, probabilistic machine learning, deep generative models
service:
reviewing:
- "Neural Information Processing Systems (NeurIPS'22, Main and Dataset and Benchmark Tracks)"
- "International Conference on Learning Representations (ICLR'21)"
- "International Conference on Machine Learning (ICML'21)"
- "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'21)"
- "IEEE Transactions of Neural Networks and Learning Systems (TNNLS)"
- "IEEE Transactions of Big Data (TBD)"
main:
- details: "President of USC Turkish Graduate Student Association (TGSA)"
url: https://engage.usc.edu/turkishgraduatestudentsassociationatusc/home/
year: Jun 2022 - Present
- details: "Student Organizer at the 1st FedGraph2022 Workshop"
url: https://sites.google.com/view/fedgraph2022/
year: 2022
- details: "Teaching Assistant at ProbAI 2021 Summer School"
url: https://probabilistic.ai/contact/
year: 2021
#sub_details: "*Outstanding reviewer"
# - details: NeurIPS Learning Meets Combinatorial Optimization Workshop Organizer
# year: 2020
# url: https://sites.google.com/view/lmca2020/home
# - details: CVPR Deep Declarative Workshop Organizer
# url: https://anucvml.github.io/ddn-cvprw2020/
# year: 2020
# - details: ECCV Deep Declarative Tutorial Organizer
# url: https://anucvml.github.io/ddn-eccvt2020/
# year: 2020
# - details: CMU CSD MS Admissions
# year: 2014 -- 2015
current_position:
- place: University of Southern California
location: Los Angeles, CA
title: Ph.D. Student
dates: Jan 2021 -- Present
repos:
- repo_url: https://github.com/FedML-AI/FedML
year: 2020
desc: FedML - A Research-oriented Federated Learning Library
- repo_url: https://github.com/FedML-AI/FedGraphNN
year: 2021
desc: A Research-oriented Federated Learning Library for GNNs
- repo_url: https://github.com/FedML-AI/SpreadGNN
year: 2021
desc: Serverless Multi-Task Federated Learning for GNNs
education:
- school: University of Southern California
location: Los Angeles, CA
degree: Ph.D. in Electrical \& Computer Engineering
dates: Jan 2021 -- Present
details:
- "Thesis Title: Federated Learning From Various Perspectives: Graphs, Physics, and Information"
- "Advisor: \\href{http://avestimehr.com}{Prof. Salman Avestimehr}"
- school: Bilkent University
location: Ankara,TR
degree: M.Sc. in Electrical \& Electronics Engineering (High Honors)
dates: Jun 2018 -- Dec 2020
details:
- "Thesis Title: \\href{http://repository.bilkent.edu.tr/handle/11693/54851}{Spatio-temporal Forecasting Over Graphs with Deep Learning}"
- "Advisor: \\href{https://www.linkedin.com/in/ergut/}{Dr. Salih Ergut}"
- school: Bilkent University
location: Ankara,TR
degree: B.Sc. in Electrical \& Electronics Engineering (High Honors)
dates: Sep 2013 -- Jun 2018
positions:
- place: FedML Inc.
location: Los Angeles, CA
title: Research Intern
dates: May 2022 - August 2022
advisor: \href{https://www.avestimehr.com/}{Salman Avestimehr} \& \href{https://chaoyanghe.com/}{Chaoyang He}
details:
- "Developing federated graph neural network algorithms for AI for Science applications such as drug discovery."
- place: Turkcell Technology
location: Istanbul, TR
title: 5G VATS R\&D Engineer
dates: Oct 2018 - Dec 2020
advisor: \href{https://www.linkedin.com/in/ergut/}{Salih Ergut}
details:
- "Developed deep learning algorithms for forecasting spatio-temporal grid and graph-structured mobile traffic series collected from 4G/5G base stations under non-stationary environments."
- place: Bilkent University
location: Ankara TR
title: Research \& Teaching Assistant
dates: Jun 2018 -- Sep 2020
advisor: Dr. Salih Ergut
area: Spatiotemporal Traffic Forecasting with Deep Learning Models
coursework:
-name: Large-Scale Optimization in Machine Learning
-name: Theory of Machine Learning
-name: Dynamics of Deep Representation Learning
-name: Privacy in the Era of Big Data
all_publications:
name: "Ceyani"
file: all.bib
sort_bib: True
include_image: True
group_by_year: True
# categories:
# - heading: Preprints and Tech Reports
# prefix: P
# file: tech-reports.bib
# - heading: Conference Proceedings
# prefix: C
# file: conference.bib
# - heading: Journal Articles
# prefix: J
# file: journal.bib
# - heading: Workshop, Symposium, and Short Papers
# prefix: W
# file: short.bib
# - heading: Magazine Articles
# prefix: M
# file: magazine.bib
# - heading: Posters
# prefix: S
# file: posters.bib
talks:
- year: 2021
location: OREDATA
- year: 2021
location: MIT - FL Reading Group
# advising:
# - year: 2020
# name: Aaron Lou
# details: (Cornell), FAIR Intern (with Max Nickel)
# url: https://www.aaronlou.com/
skills:
- title: Languages
details: C, C++, Java, MATLAB, Julia, Python
- title: Frameworks
details: JAX, NumPy, Pandas, PyTorch, Pyro, SciPy, Keras
- title: Tools
details: Linux, vim, git, tmux, zsh
honors:
- title: Full scholarship for Deep|Bayes \& PRAIRIE AI ML summer schools.
year: 2019
- title: 5G \& Beyond Graduate Support Program and Bilkent Graduate Scholarship
year: 2018 - 2020
- title: Research Excellence Award Awarded by Bilkent University.
year: 2018