Farshid Farhat

AI Roboticist
Dexterity Inc.
Address: 1205 Veterans Blvd, Redwood City, CA 94063.
Email: farshid83 AT GMAIL
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About Me

Working at an AI-aware Robotics start-up (Dexterity.ai) is my current status. My broad experience is specialized in executive management (4+yr), artificial intelligence (AI) specially machine learning (ML), computer vision (CV), and image processing (8+yr), back-end/infrastructure development (4+yr), front-end development (4+yr), and networking/security (3+yr). While I am highly interested to create/exploit open-source code in an optimized way for a new/better solution of challenging problems while no fear to explore any new research area or technology. I joined RoboticEQ (aka Simplr Technologies) as the CEO in June 2017. RoboticEQ was the spinoff of the project that I was working since my CS PhD by a seed fund for innovation from Penn State. I was a member of Intelligent Information Systems (IIS) research lab at Penn State. I was working with Prof. James Wang (adviser) and Prof. Jesse Barlow (co-adviser), also collaborating with Prof. Zihan Zhou. My research interests lie in the area of computer vision, machine learning and big data computing. More specifically, I am interested in image aesthetics/composition understanding using conventional machine and deep learning, image retrieval and ranking, and multimedia processing. Also I am working in the field of big data computing specially on resource allocation in distributed systems and parallel computing.

Projects

• Smart cropping with JNI implementation in Android

• Aesthetic scoring using smartphone GPU

• Portrait Composition Assistance (Dissertation-related)

• Human body pose classification and recognition (Dissertation-related)

• Emotion-aware Local Guide with iOS implementation

• Severe weather forecasting using shape matching

Collaborators

• Graduates: Diman Zad Tootaghaj, Mohammad-Mehdi Kamani, Yu Luo.

• Undergrads: Sahil Mishra, Luke Porupski, Jeremy Ong, Yizhi Huang, Jeffery Cao, Shengguang Bai.

Publications

• Discovering Triangles in Portraits for Supporting Photographic Creation, S He, Z Zhou, F Farhat, JZ Wang, IEEE Transactions on Multimedia, Aug 2017.

• Intelligent Portrait Composition Assistance — Integrating Deep-learned Models and Photography Idea Retrieval, F Farhat, MM Kamani, S Mishra, JZ Wang, July 2017.

• Skeleton Matching with Applications in Severe Weather Detection, MM Kamani, F Farhat, S Wistar, JZ Wang, Applied Soft Computing, May 2017.

• Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval, Z Zhou, F Farhat, JZ Wang, IEEE Transactions on Multimedia, May 2017.

• Shape matching using skeleton context for automated bow echo detection, MM Kamani, F Farhat, S Wistar, JZ Wang, Big Data (Big Data), 2016 IEEE International Conference on, 901-908, Dec 2016.

• Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis, Z Zhou, F Farhat, JZ Wang, arXiv preprint arXiv:1608.04267, 2016.

• Optimal Placement of Cores, Caches and Memory Controllers in Network On-Chip, DZ Tootaghaj, F Farhat, arXiv preprint arXiv:1607.04298, 2016.

• Towards Stochastically Optimizing Data Computing Flows, F Farhat, DZ Tootaghaj, M Arjomand, arXiv preprint arXiv:1607.04334, 2016.

• Stochastic Modeling and Optimization of Stragglers, F Farhat, D Zad Tootaghaj, Y He, et al. IEEE Transaction on Cloud Computing, 2016.

• Fork-Join Queue Modeling and Optimal Scheduling in Parallel Programming Frameworks, F Farhat, EECS Thesis, The Pennsylvania State University, 2015.

• Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost, DZ Tootaghaj, F Farhat, M Arjomand, P Faraboschi et al. Workload characterization (IISWC), 2015 IEEE international symposium on, 203-212, 2015.

• Towards blind detection of low-rate spatial embedding in image steganalysis, F Farhat, S Ghaemmaghami, IET Image Processing 9 (1), 31-42, 2015.

• Modeling and optimization of straggling mappers, F Farhat, DZ Tootaghaj, A Sivasubramaniam, MT Kandemir, CR Das, Technical report, Technical Report CSE-14-006, Pennsylvania State University, 2014.

• Security Weaknesses in PGP Protocol, F Farhat, M Heydari, MR Aref, 2013.

• Eigenvalues-based LSB steganalysis, F Farhat, A Diyanat, S Ghaemmaghami, MR Aref, The ISC International Journal of Information Security 4 (2), 97-106, 2012.

• Image steganalysis based on SVD and noise estimation: Improve sensitivity to spatial LSB embedding families, A Diyanat, F Farhat, S Ghaemmaghami, TENCON 2011-2011 IEEE Region 10 Conference, 1266-1270, 2011.

• Multi-dimensional correlation steganalysis, F Farhat, A Diyanat, S Ghaemmaghami, MR Aref, Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop, 2011.

• Game-theoretic approach to mitigate packet dropping in wireless Ad-hoc networks, DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref, Consumer Communications and Networking Conference (CCNC), 2011 IEEE, 163-165, 2011.

• Risk of attack coefficient effect on availability of Ad-hoc networks, DZ Tootaghaj, F Farhat, MR Pakravan, MR Aref, Consumer Communications and Networking Conference (CCNC), 2011 IEEE, 166-168, 2011.

• Private Identification, Authentication and Key Agreement Protocol with Security Mode Setup, F Farhat, S Salimi, A Salahi, IACR Cryptology ePrint Archive, 2011.

• Locally Multipath Adaptive Routing Protocol Resilient to Selfishness and Wormholes, F Farhat, MR Pakravan, M Salmasizadeh, MR Aref, International Conference on Information Security Practice and Experience, 2010.

• An Extended Authentication and Key Agreement Protocol of UMTS, F Farhat, S Salimi, A Salahi, International Conference on Information Security Practice and Experience, 2009.