AI-powered Robotics
Machine Learning, Computer Vision, and Operation Research
Farshid Farhat
Dexterity Inc., AI Roboticist, 2019-2023.
RoboticEQ (aka Simplr Technologies, an AI-based startup), CTO, 2017-2019.
Computer Science PhD at School of Electrical Engineering and Computer Science, The Pennsylvania State University.
Electrical Engineering PhD at School of Electrical Engineering, Sharif University of Technology.
About Me
Working at a Robotic startup (Dexterity.AI), 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 spin-off 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.
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. [Portrait Dataset]
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
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.