الدكتور ابراهيم منصور العبدالمحسن

الدكتور ابراهيم منصور العبدالمحسن من شباب العائلة المبدعين ويحمل شهادة الدكتوراه في رسالة مميزة حول الذكاء الاصطناعي ويعمل حالياً في شركة ‪Google‬ ومؤلف كتاب يدرس في الجامعات العالمية حول حساب التفاضل والتكامل وله العديد من المحاضرات والمقالات المنشورة في اشهر الصحف والمجلات العلمية شغل العديد من المناصب العلمية وتخرج من اشهر جامعات العالم 
أنا حاليًا عالم أبحاث في فريق Google Brain Team في زيوريخ. انضممت إلى الفريق في نوفمبر 2019. سابقًا ، كنت أقود فريق التحليلات المتقدمة في أرامكو السعودية.
أكملت شهادة الدكتوراه. في جامعة الملك عبدالله للعلوم والتكنولوجيا في مايو 2017. وقبل ذلك ، حصلت على ماجستير في الهندسة الكهربائية في جامعة ستانفورد وبلدي BS في هندسة الكمبيوتر في جامعة نبراسكا ، لينكولن.
أنا متحمس جدًا للمجال الواسع لعلوم البيانات بشكل عام ، بما في ذلك التعلم الآلي ، والذكاء الاصطناعي ، واستخراج البيانات ، وشبكات المعلومات ، والإحصاءات ، ونظرية المعلومات

Ibrahim M. Alabdulmohsin

Contact

Information

Research Scientist, Google Brain, Zurich

Email: ibo.mohsin@gmail.com

Webpage: http://iboMohsin.com

Education King Abdullah University of Science & Technology, Thuwal, Saudi Arabia

Ph.D., Computer Science (GPA: 4.0/4.0) Sept'12 { April'17

_ Coursework{ Information Science, Data Mining, Compressed Sensing, Stochastic Methods

in Engineering.

_ Thesis{ \Learning via Query Synthesis", successfully defended on April 9, 2017.

Defense Committee: Dr. Xiangliang Zhang (Associate Professor), Dr. Xin Gao (Associate

Professor), Dr. David Keyes (Director of the Extreme Computing Research Center,

KAUST), and Dr. Wei Wang (Professor of Computer Science, UCLA)

Stanford University, Palo Alto, CA

M.S., Electrical Engineering (GPA: 4.15/4.0) Sept'09 { June'11

_ Coursework{ Computer Networks (Switching, Routing, Performance Engineering, and

Wireless LANs), Stochastic Modeling, Convex Optimization, Applied Number Theory &

Field Theory, Algorithms & Data Structures, Linear Dynamical Systems, Machine Learning,

Operations Management, Information Theory, Arti_cial Intelligence, Cognitive Psychology,

Inference Estimation & Information Processing.

University of Nebraska, Lincoln (Highest Distinction) Lincoln, NE

B.S., Computer Eng., Minor in Economics (GPA: 3.98/4.0) Aug'00 - May'05

Books I. Alabdulmohsin,

\Summability Calculus: A Comprehensive Theory of Fractional Finite

Sums"

Springer International Publishing, 2018.

DOI: https://doi.org/10.1007/978-3-319-74648-7

Publications [1] I. Alabdulmohsin, \Fractional Parts and their Relations to the Values of the Rie-

mann Zeta Function"

Arabian Journal of Mathematics, pp. 1{8, 2018.

[2] I. Alabdulmohsin \Axiomatic Derivation of AdaBoost and the MultiplicativeWeight

Update Procedure"

in the European Conference on Machine Learning and Principles and Practice of

Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland, Septem-

ber, 2018.

[3] I. Alabdulmohsin \Information-Theoretic Guarantees for Empirical Risk Minimiza-

1 of 5

tion with Applications to Model Selection and Large-Scale Optimization"

in the the thirty-_fth International Conference on Machine Learning (ICML),

Stockholm, Sweden, July, 2018.

[4] I. Alabdulmohsin \An Information-Theoretic Route from Generalization in Expec-

tation to Generalization in Probability"

in the the 20th International Conference on Arti_cial Intelligence and Statistics

(AISTATS), Fort Lauderdale, Florida, April, 2017.

[5] I. Alabdulmohsin, Y. Han, Y. Shen, X. Zhang \Content-Agnostic Malware Detec-

tion in Heterogeneous Malicious Distribution Graph"

in the the 25th ACM International Conference on Information and Knowledge

Management (CIKM), Indianapolis, October, 2016.

[6] I. Alabdulmohsin, M. Cisse, X. Zhang, \Is Attribute-Based Zero-Shot Learning an

Ill-Posed Strategy?"

in the European Conference on Machine Learning and Principles and Practice

of Knowledge Discovery (ECML-PKDD), Riva del Garda, Italy, September,

2016.

[7] I. Alabdulmohsin, M. Cisse, X. Gao, X. Zhang, \Large Margin Classi_cation with

Inde_nite Similarities"

Machine Learning Journal (MLJ), 103 (2), pp. 215{237, 2016.

[8] I. Alabdulmohsin, \Algorithmic Stability and Uniform Generalization"

in Neural Information Processing Systems (NIPS), Montr_eal, Canada, Decem-

ber, 2015.

[9] I. Alabdulmohsin, X. Gao, X. Zhang, \E_cient Active Learning of Halfspaces via

Query Synthesis"

in Association for the Advancement of Arti_cial Intelligence (AAAI), Austin,

Texas, January, 2015.

[10] I. Alabdulmohsin, X. Gao, X. Zhang, \Adding Robustness to Support Vector Ma-

chines Against Adversarial Reverse Engineering"

in ACM International Conference on Information and Knowledge Management

(CIKM), Shanghai, November, 2014.

[11] I. Alabdulmohsin, X. Gao, X. Zhang, \Support Vector Machines with Inde_nite

Kernels"

in Asian Conference on Machine Learning (ACML), Vietnam, November, 2014.

[12] I. Alabdulmohsin, \Interference in Wireless Ad Hoc Networks with Smart Anten-

nas"

in International Wireless Communications and Mobile Computing Conference

(IWCMC), Cyprus, August, 2014.

[13] I. Alabdulmohsin, A. Hyadi, L. A_fy, B. Shihada, \End-to-End Delay Analysis in

Wireless Sensor Networks with Service Vacation"

in IEEE Wireless Communications and Networking Conference (WCNC), Turkey,

May, 2014.

[14] I. Alabdulmohsin, \Techniques and Algorithms for Access Control List Optimiza-

tion"

Journal of Computers and Electrical Engineering, 35 (4), pp. 556-566, 2008.

2 of 5

Patents [15] I. Alabdulmohsin, \Quasi-Clique Prototype-Based Hybrid Clustering" (Pending)

U.S. Patent Application# WO2018/069836, Published on April 19, 2018.

[16] I. Alabdulmohsin and M. Idris, \Model Predictive Control using Semide_nite Pro-

gramming" (Pending)

U.S. Patent Application, Filed on June 20, 2019.

[17] S. Dursun, W. Alsaeed, B. Koppuravuri, and I. Alabdulmohsin, \Optimizing Queu-

ing Systems via Model Predictive Control" (Pending)

U.S. Patent Application, Filed on Sept 27, 2019.

Professional

Services

_ Peer reviewer for the IEEE Transactions on Pattern Analysis and Machine Intelli-

gence (PAMI), IEEE Communications Letters, IEEE Transactions on Neural Net-

works.

_ Program Committee member of DASFAA 2015, NIPS 2016, InCoB 2017, IJCAI

2018, IJCAI 2019, NIPS 2019, AAAI 2019, ICLR 2019, and ICML 2020.

_ Co-chair of the AI track of the 2019 Arab-American Frontiers Symposium, which is

organized by the American Academies of Science, Engineering, and Medicine.

Distinctions _ The \Outstanding Reviewer Award" at NIPS (2016).

_ The \KAUST Provost Award" (2012).

_ The Saudi Arabian Oil Company { Operation Services Business Line Recognition

Award for \distinguished academic achievements" (senior VP), (2012).

_ Recognition Award for \signi_cant contributions to the success of the Communica-

tions Engineering Department, Information Technology, Saudi Aramco", (2009).

_ The Saudi Arabian Oil Company { Information Technology Admin Area Recognition

Award (VP) for developing innovative solutions that enhance network performance

and simplify its management, (2007).

_ The Superior Scholarship Award from the University of Nebraska, Lincoln (2005).

_ Finalist - Windows Embedded Student ChallengE contest: reached the _nal round

with 29 other teams in a Microsoft senior project contest that included over 270

participating teams from all over the world (2005).

_ The Prince Muhammed Ben Fahd Best Student Award in the Eastern Region{Saudi

Arabia (ranked 1st) (1993).

Invited Talks _ \The Future of AI." Biban Al-Sharqiyah, Al-Khubar, March 2019.

_ \Learning & Information." Keynote at Arab-American Frontiers Symposium, Nov

2018.

_ \The Business Need for Data Scientists." King Fahd University of Petroleum &

Minerals (KFUPM), April 2018.

_ \A Uni_ed Theory of Learning and Information." King Abdullah University of Sci-

ence & Technology (KAUST), March 2018.

_ \Applications of Machine Learning for the Oil & Gas Industry." King Abdulaziz City

for Science & Technology (KACST), Feb 2018.

Teaching

Experience

_ Teaching Assistant (TA) for Data Analytics (CS 220) at KAUST:

Falls 2014 { 2016.

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Previous

Professional

Experience

Corporate Applications Department, Saudi Aramco, Dhahran, Saudi Arabia

Leader, Advanced Analytics Team December'17 { November '19

Currently leading the Advanced Analytics team that is responsible for developing big data

& advanced analytics applications, managing data analytics infrastructures, conducting

research collaboration projects with the academia, evaluating new technologies, and developing

long-term strategies and roadmaps. I have led several major projects, based on

machine learning, text mining, mathematical optimization, and queuing theory, which optimized

operations and produced signi_cant returns to the company. In addition, I am the

technical lead of the Enterprise Analytics program, whose scope is to accelerate the adoption

of Arti_cial Intelligence at the company, develop the workforce, and devise long-term

visions and strategies.

IT Architecture Planning Group, Saudi Aramco, Dhahran, Saudi Arabia

IT Strategy & Architecture Development May'17 { Nov'17

Developed the corporate strategies and long-term visions for Big Data & Analytics and IoT.

In addition, I developed an IT news aggregator that combines multiples feeds from news

websites and social media. The website identi_es the most trending IT-related news stories

worldwide and automatically categorizes them using machine learning into a prede_ned list

of categories, such as mobility, IoT, security, and AI. In addition, it augments news stories

with relevant contents, such as YouTube videos, Twitter hashtags and tweets, as well as

Facebook share counts. The website is optimized for speed using CDN and is con_gured

using Bootstrap to deliver uid and responsive layout.

Network Management Group, Saudi Aramco, Dhahran, Saudi Arabia

Performance Engineering & Capacity Planning July'11 { Aug'12

Handled various tasks on performance management and capacity planning for enterprise

communications services such as the Data Center, the Internet, Extranet, and Wireless

LAN infrastructures. I also developed a tool, called Zoom4Perf, that simpli_es the task

of conducting network performance measurement and analysis. The application has been

very successful and was in constant use by network engineers in Saudi Aramco for troubleshooting

and SLA compliance assessment.

WAN Engineering Group, Saudi Aramco, Dhahran, Saudi Arabia

Network Security and Data Center Design July'05 { July'09

_ Key member of a project management team for an 18-month IT security project that

aimed at installing security devices such as _rewalls, intrusion prevention systems, and

proxy servers to secure hundreds of critical facilities across the company.

_ Developed a tool for _rewall policy optimization, which simpli_ed _rewall policy con-

_gurations considerably and improve performance.

_ Project manager for a 1-year CCTV surveillance camera systems project that aimed at

installing full-coverage cameras at high-elevation poles and included design and installation

of a new dedicated network for the surveillance camera systems. The project also

covered major civil, electrical, and structural works such as foundation constructions,

trench excavations, cable pulling, and pole erections.

_ Handled the data networking tasks for a SAP Accelerator project. The project aimed at

accelerating key SAP transactions from hours down to a few minutes only and involved

the design and connectivity of 50+ new servers at the Data Center.

_ Handled many network engineering tasks such as design, installation, con_guration,

data network studies, design reviews, upgrades, and troubleshooting that ranged from

providing basic network connectivity to enhancing availability and security.

Industry

Certifications

CCNA, Network+, JNCIA-FWV, JNCIS-FWV, ACSP, ACSS, ACSE, ITILv3

عدد المشاهدات:

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