Dinesh Singh

Bio:

I am working in High-dimensional Statistical Modeling Unit with Prof. Makoto Yamada as a Postdoctoral Researcher at the RIKEN Center for Advanced Intelligence Project (AIP) at Kyoto University, Japan. I completed my Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology, Hyderabad in 2018, under the supervision of Prof. C. Krishna Mohan on Scalable and Distributed Methods for Large-scale Visual Computing. I received my M.Tech degree in Computer Engineering from National Institute of Technology, Surat in 2013, where I worked with Prof. Dhiren R. Patel on machine learning approaches for network anomaly and intrusion detection in the domain of cybersecurity and cloud security. I received my B. Tech degree in Information Technology from R. D. Engineering College, Ghaziabad (affiliated with UPTU Lucknow) in 2010. I worked as Assistant Professor (2013 - 2014) in the Department of Computer Science and Engineering, Parul Institute of Engineering & Technology, Vadodara, GJ, India.

Contact:

Email: dinesh [ DOT ] singh [ AT ] riken [ DOT ] jp

Academic & Research Experience:

    • Feb 2019 - present Postdoctoral Researcher RIKEN AIP, Japan

    • July 2014 - Dec 2018 Graduate Teaching Assistant IIT Hyderabad, India

    • July 2013 - July 2014 Assistant Professor PIET Vadodara, India

    • July 2011 - Jun 2013 Graduate Teaching Assistant NIT Surat, India

Patents

Dinesh Singh, C. Vishnu, Debaditya Roy, and C. Krishna Mohan "Method and System for Detection of Accident in Traffic Surveillance Videos," Indian Complete Patent, Application No: 201841003604, Jan 2018, Patent Pending.

Debaditya Roy, Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Method and System for Detection of Crime Events in Surveillance Videos," Indian Complete Patent, Application No: 201741041239, Nov 2017, Patent Pending.

C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy "A Method and System for Real-time Detection of Traffic Violation by Two-wheeled Riders," Indian Complete Patent, Application No: 201741038813, Nov 2017, Patent Pending.

Preprint

Dinesh Singh, Hector Climente-Gonzalez, Mathis Petrovich, Eiryo Kawakami and Makoto Yamada "FsNet: Feature Selection Network on High-dimensional Biological Data," arXiv preprint arXiv:2001.08322

Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang "GraphLIME: Local interpretable model explanations for graph neural networks," arXiv preprint arXiv:2001.06216

Journals

Dinesh Singh and C. Krishna Mohan "Deep Spatio-Temporal Representation for Detection of Road Accident using Stacked Autoencoder," IEEE Transactions on Intelligent Transportation Systems (T-ITS), Vol.20, No.3, pp.879-887, Mar 2019

Paper: PDF DataSet: IITH_Accident

Dinesh Singh and C. Krishna Mohan "Graph Formulation of Video Activities for Abnormal Activity Recognition," Pattern Recognition, Vol.65, pp.265-272, May 2017

Paper: PDF

Dinesh Singh, Debaditya Roy, and C. Krishna Mohan "DiP-SVM: Distribution Preserving Kernel Support Vector Machine for Big Data," IEEE Transactions on Big Data, Vol.3, No.1, pp.79-90, Jan-Mar 2017

Paper: PDF

Dinesh Singh, Dhiren Patel, Borishaniya Bhavesh, and Chirag Modi "Collaborative IDS Framework for Cloud," International Journal of Network Security, Vol.18, No.4, PP.699-709, Jul 2016

Paper: PDF

International Conferences

Dinesh Singh, Hector Climente-Gonzalez, Mathis Petrovich, Eiryo Kawakami and Makoto Yamada "FsNet: Feature Selection Network on High-dimensional Biological Data," Machine Learning for Computational Biology (MLCB 2020)

Paper: PDF

Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device," IEEE Intelligent Transportation Systems Conference (IEEE ITSC 2020)

Paper: PDF

Dinesh Singh and C. Krishna Mohan "Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning," IEEE International Conference on Big Data (Big Data), Seattle, Washington, USA, Dec 2018

Paper: PDF

Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, and C. Krishna Mohan "Fast-BoW: Scaling Bag-of-Visual-Words Generation," British Machine Vision Conference (BMVC), Newcastle upon Tyne, UK, Sep 2018

Paper: PDF

C. Vishnu, Dinesh Singh, C. Krishna Mohan and Ch. Sobhan Babu "Detection of Motorcyclists without Helmet in Videos using Convolutional Neural Network," International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, USA, May 2017

Paper: PDF

Dinesh Singh, C. Vishnu, and C. Krishna Mohan "Visual Big Data Analytics for Traffic Monitoring in Smart City," IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, Dec 2016

Paper: PDF

Nazil Perveen, Dinesh Singh, and C. Krishna Mohan "Spontaneous Facial Expression Recognition: A Part Based Approach," IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, Dec 2016

Paper: PDF

Dinesh Singh and C. Krishna Mohan , "Distributed Quadratic Programming Solver for Kernel SVM using Genetic Algorithm," IEEE Congress on Evolutionary Computation (IEEE CEC), Vancouver, Canada, Jul 2016

Paper: PDF

Kunal Dahiya, Dinesh Singh, and C. Krishna Mohan, "Automatic Detection of Bike-riders without Helmet using Surveillance Videos in Real-time," International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul 2016

Paper: PDF

Professional Activities

Awards and Honors

    • Won first prize in the 8th IDRBT Doctoral Colloquium held on December 7, 2018

    • IEEE BigData 2018 Travel Award to attend and present paper at IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, Washington, USA

    • HiPC Travel Grant to attend IEEE International Conference on High Performance Computing, Data, and Analytic (IEEE HiPC 2017), Jaipur, India

    • MHRD Travel Grant to attend and present paper at IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'16), Anaheim, California, USA

    • VLDB Travel Grant to attend International Conference on Very Large Data Bases (VLDB 2016), New Delhi, India

    • Microsoft Research India Travel Grant to attend and present paper at IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, Canada

Affiliations

    • PC Member, ACML 2020

    • PC Member, ECML-PKDD 2020

    • Session Chair, IEEE BigData 2018

    • Member, IEEE Computational Intelligence Society

    • Member, IEEE Signal Processing Society

    • Member, IEEE Big Data

    • Member, IEEE Cloud Computing

    • Member, IEEE

Reviewer for Journals

    • IEEE Transactions on Big Data (TBDATA),

    • IEEE Transactions on Multimedia (TMM),

    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS),

    • IEEE Transactions on Information Forensics and Security (T-IFS),

    • IEEE Transactions on Signal Processing (TSP),

    • IEEE Transactions on Evolutionary Compuation (TEVC),

    • IEEE Transactions on Intelligent Transportation Systems (T-ITS),

    • Neurocomputing,

    • IETE Technical Review

Reviewer for Conferences

AISTATS2022, AAAI2022, ICLR 2021, ACML 2021, ICCV 2021, CVPR 2021,

AAAI 2020, ACML 2020, IJCAI 2020, IEEE ITSC 2020, ECML-PKDD 2020, ISMB/ECCB 2019, NCC 2018