Artificial Intelligence

Machine Learning, Computer Vision, and Multimedia

Farshid Farhat

  • Email: farshid83 AT gmail DOT com, LinkedIn
  • RoboticEQ (aka Simplr Technologies, an AI-based startup), CEO, 2017-present.
  • Computer Science PhD at School of Electrical Engineering and Computer Science, The Pennsylvania State University, 2018.
  • Electrical Engineering PhD at School of Electrical Engineering, Sharif University of Technology, 2014.

About Me

Since my Computer Science PhD, I was funded by a seed grant for innovation from Penn State. The spin-off of the project was an AI-based startup co-founded by two faculties, called Simplr Technologies. Since June 2017, I joined Simplr Technologies (aka RoboticEQ) and appointed as the CEO by the co-founders.

My research interests lie in the area of computer vision, machine learning and big visual data computing. More specifically, I am interested in image aesthetics understanding, image retrieval and ranking, and multimedia processing not only machine/deep learning but also any other mathematical methods. Also, I have experience in the fields of big data computing, networking and security specially on resource allocation in distributed systems and parallel computing.

Research and Development

  • Diversity Index across Photo Collection, Unsupervised ML and CV on Big Visual Data, New trending developed technology, 2018.
  • Comprehensive Composition Assistance through Meaningful Exemplars, Deep ML and CV on Big Visual Data, PhD Dissertation, August 2018.
  • Triangle Detection in Portrait and Landscape Images, ML and CV on Big Data, Part of CS PhD Dissertation, 2017.
  • Emotion-aware Local Guide Technology, ML and CV on Big Data, Part of an NSF Project, 2017.
  • Severe Weather Prediction from Radar Images, ML and CV on Big Data, Part of an NSF Project, 2016.
  • Parallel Aesthetic Scoring Developed in Android by Render-Script, ML and CV on Big Data, Requirement of Innovation Seed Grant, 2016.
  • Image re-Targeting Developed in Android by JNI, ML and CV on Big Data, Requirement of Innovation Seed Grant, 2016.
  • Vanishing Point Detection in Natural Images, ML and CV on Big Data, Part of CS PhD Dissertation, 2015-2016.
  • Stochastic Modeling and Optimization of Stragglers in Parallel Frameworks, Big Data Analytics with Queueing Theory, CS MSc Thesis, 2014-2015.
  • Big Data Analytics on Hadoop/MapReduce Logs, Statistical Analysis, Internship at WD, 2014.
  • Performance Evaluation of Map-Reduce Framework, Big Data Analytics, Research Assistantship, 2014.
  • Optimal Placement of Network on Chip Components, Convex Optimization, Interconnect Network Course Project, 2013.
  • Parallel File System Server with Disk Scheduler and Serializer, Distributed System, OS Design Course Project, 2013.
  • P2P-like DHT-based Network, Distributed Systems, Course Project, 2013.
  • Pluto Compiler Optimization for Fusion and Fission, Compiler Design, Course Project, 2012.
  • Information-theoretic Steganalysis of Very Low Rate Hidden Messages inside the Image, Image Processing, EE PhD Dissertation, 2012.
  • Cloud-segmented Multi-Dimensional Steganalysis, Image Processing, Research Assistantship, 2011.
  • Eigenvalues-based Steganalysis (EVS), Image Processing, Research Assistantship, 2010.
  • Multi-Dimensional Correlated Steganalysis (MDCS), Image Processing, Research Assistantship, 2010.
  • Designing Game-Theoretic Network Simulator (GTNS), Network Security, Co-worker of an MSc Thesis, 2009.
  • Analysis of 3G/4G Cellular Communications Authentication Protocol, Cellular Security, Internship Project, 2008.
  • Improvement of Ad-hoc Network Routing Protocols, Network Security, EE MSc Thesis, 2005-2007.
  • QoS-based Protocol Analysis in Ad-hoc Networks, Networking, Co-worker of an MSc Thesis, 2007.
  • Designing Wireless Mobile Ad-hoc Network Simulator (WMANETSEC), Network Security, Internship Project, 2007.
  • Analysis of 3G, WiFi, WiMax, and Bluetooth Systems Authentication, Cellular Security, Internship Project, 2006.
  • Implementing Data Link Layer Algorithms in Optical CDMA Network Simulator, Networking, EE BSc Thesis, 2004-2005.

Collaborators

  • Graduates: Mohammad-Mehdi Kamani, Yu Luo, Diman Zad Tootaghaj.
  • Undergrads: Sahil Mishra, Shengguang Bai, Jeremy Ong, Yizhi Huang, Jeffery Cao, Luke Porupski.

Publications