About

I am a data scientist and machine learning engineer. I am interested in quantitative analysis and computational sciences in industrial applications. I use mathematical modeling, conceptual problem solving, machine learning and deep learning algorithms to solve quantitative problems in industry.

Work and Research Experiences

Senior Data Scientist, AT&T Labs, 2019-present

Computational Scientist, Momenta Pharmaceutical Inc., 2016-2018

Lead Research Associate, University of Maine, 2015-2016

Research Fellow, Clemson University, 2015

Research Associate, Rensselaer Polytechnic Institute, 2014

Intern, Open Access Technology International (OATI), 2013

Education

Rensselaer Polytechnic Institute (RPI), Troy, NY

PhD in Electrical Engineering, Department of Electrical, Computer, and Systems Engineering (ECSE), May 2014

MS in Applied Mathematics, School of Mathematical Sciences (Math), Dec 2014

MS in Quantitative Finance and Risk Analytics, Lally school of Management (Lally), Dec 2014

Sharif University of Technology (SUT), Tehran, Iran

MSc in Electrical Engineering, School of Electrical Engineering (EE), Oct 2007

BSc in Electrical Engineering, School of Electrical Engineering (EE) Aug 2005

Shahid Soltani High School, National Organization for Development of Exceptional Talents (NODET), Karaj, Iran

High School Diploma in Physics and Mathematics, Aug 2000.

Young Scholar Club (YSC), Tehran, Iran

Silver Medal in National Mathematics Olympiad, Aug 1999.

Selected Projects

KMeans Smart Shoe Classification This Page is Under Construction!

In my opinion, a data scientist needs to be expert in three different categories: (1) Machine learning, (2) Data Structures and (3) Statistics.

Machine Learning

I am learning machine learning by reading some books. I found this book very useful.

"Pattern Recognition", 4th Edition, by Sergios Theodoridis and Konstantinos Koutroumbas

This book could be purchased online at this link.

I am solving the problems of this book. I would like to share my solutions to some of the interesting problems of this book with the persons who are interested in learning machine learning and pattern recognition. Please try to solve the problems before watching my solutions. Please do not hesitate to contact me if there is any problem in these solutions. Email: aboozar_ghavami@yahoo.com

Problem 3. 1 Problem 3. 2 Problem 3. 3 Problem 3. 4 Problem 3. 5 Problem 3. 6 Problem 3. 7 Problem 3. 8 Problem 3. 9 Problem 3.10 Problem 3.11 Problem 3.12 Problem 3.13 Problem 3.14 Problem 3.15 Problem 3.16 Problem 3.17 Problem 3.18 Problem 3.19 Problem 3.20

Data Structures

One of the best resources for learning data structure is Section II - Data Structures of the book

"Algorithms", 3rd Edition, by Cormen, Leiserson, Rivest and Stein (CLRS)

This book could be purchased online at this link.

The section II - Data Structures covers chapters 10 - 14. My solutions for chapters 10 - 12 are here. Please try to solve the problems before watching my solutions. Please do not hesitate to contact me if there is any problem in these solutions. Email: aboozar_ghavami@yahoo.com

II Data Structures

10 Elementary Data Structures

10.1 Stacks and Queues

Exercise 10.1-1 Exercise 10.1-2 Exercise 10.1-3 Exercise 10.1-4 Exercise 10.1-5 Exercise 10.1-6 Exercise 10.1-7

10.2 Linked Lists

Exercise 10.2-1 Exercise 10.2-2 Exercise 10.2-3 Exercise 10.2-4 Exercise 10.2-5 Exercise 10.2-6 Exercise 10.2-7 Exercise 10.2-8

10.3 Implementing Pointers and Objects

Exercise 10.3-1

Drug Discovery

"Enhancing Reproducibility of Gene Expression Analysis with Known Protein Functional Relationships: The Concept of Well-associated Protein" Paper
Joel R. Pradines, Victor Farutin, Nicholas A. Cilfone, Abouzar Ghavami, Elma Kurtagic, Jamey Guess, Anthony M. Manning, Ishan Capila
PLOS Computational Biology. PLOS

Optimal Resource Allocation in Large-scale Networks with Selfish and Rational Users

"Price-driven charging of Plug-in Electric Vehicles: Nash equilibrium, social optimality and best-response convergence" Paper
Abouzar Ghavami, Koushik Kar, Saptarshi Bhattacharya, Aparna Gupta,
47th IEEE Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, Mar 2013. IEEE

"Nonlinear Pricing for Social Optimality of PEV Charging Under Uncertain User Preferences" Paper
Abouzar Ghavami, Koushik Kar
48th IEEE Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, Mar 2014. IEEE

"Decentralized Charging of Plug-in Electric Vehicles With Distribution Feeder Overload Control" Paper
Abouzar Ghavami, Koushik Kar, Aparna Gupta
IEEE Transactions on Automatic Control, Vol. 61, No. 11, Nov. 2016. IEEE

"On-demand bandwidth pricing for congestion control in core switches in cloud networks" Paper
Abouzar Ghavami, Zhuozhao Li, Haiying Shen
9th IEEE International Conference on Cloud Computing (CLOUD), San Fransisco, CA, June 2016. IEEE

"Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks" Paper
Abouzar Ghavami, Zhuozhao Li, Haiying Shen
8th IEEE International Conference on Cloud Computing Technology and ScienceCloud Computing (CloudCom), Luxembourg City, Luxembourg, Dec 2016. IEEE

System Performance Optimization

"Cross-Layer Optimization of Adaptive Modulation and Coding Preserving Packet Average Delay Time" Paper
Abouzar Ghavami, Farid Ashtiani
27th IEEE Global TeleCommunication Conference (GlobeCom), New Orleans, LA, Dec. 2008. IEEE

"A New Cross-Layer Design of Adaptive Modulation and Coding in Finite Buffer Wireless Links" Paper
Abouzar Ghavami, Farid Ashtiani
IEEE Future Generation Communication and Networking (FGCN), Jeju Island, Korea, Dec. 2007. IEEE

"Delay analysis of signal control policies for an isolated intersection" Paper
Abouzar Ghavami, Kousahik Kar, Satish Ukkusuri
15th International IEEE Conference on Intelligent Transportation Systems (ITSC), Anchorage, Alaska, Nov. 2012. IEEE

Image Processing

"A new incremental face recognition system" Paper
Youness Aliyari Ghassabeh, Abouzar Ghavami, Hamid Abrishami Moghaddam
IEEE 4th Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), Dortmund, Germany, Sept 2007. IEEE

Interactive Kmeans Clustering

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