Research Interests
Big Data mining, Clustering tendency assessment for high volume, high velocity, & high dimensional data, Big Data mining, Distributed data mining for IoT applications, Smart city and Intelligent transportation, Data driven analysis of transportation problems, Smart city and Intelligent transportation, Hurricane evacuation modeling using social media data
BioSketch
The University of Melbourne, Australia
2017
Ph.D., Electrical & Electronic Engineering
Indian Institute of Technology (IIT) Kanpur
2010
B.Tech - M.Tech Dual degree, Electrical Engineering
Post-Doctoral Research Assistant
01 Jan 2017 - 01 Jan 2019
Purdue University, USA
Research Officer
01 Jan 2016 - 01 Jan 2017
RMIT University, Melbourne, Australia
Lecturer
01 Jan 2011 - 01 Jan 2012
The LNM Institute of Information Technology
Design Engineer
01 Jan 2010 - 01 Jan 2011
Applied Micro Circuits Pvt. Ltd.
Assistant Professor
01 Jan 2019 - Present
IIT Roorkee
Research
- S. Mahallati, J.C. Bezdek, D. Kumar, M.R. Popovic, and T.A. Valiante, “Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn's Index.” Frontiers in Computational Intelligence - Springer, pp. 73–101, 2017.
- P. Rathore, D. Kumar, S. Rajasegarar, M. S. Palaniswami, and J. C. Bezdek "Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams," in IEEE Transactions on Cybernetics (T-CYB), accepted.
- X. Qian, D. Kumar, W. Zhang, and S. V. Ukkusuri, "Understanding the operational dynamics of Mobility Service Providers: A case of Uber," in ACM Transactions on Spatial Algorithms and Systems (TSAS), vol. 6, no. 2, pp. 12:1-12:20, Feb. 2020.
- D. Kumar and J. C. Bezdek "Visual approaches for exploratory data analysis: A survey of the VAT family of algorithms," in IEEE Systems, Man, and Cybernetics Magazine (SMC-MAG), accepted.
- M. Palaniswami, A. S. Rao, D. Kumar, P. Rathore, and S. Rajasegarar, "Role of Visual Assessment of Clusters for Big Data Analysis from Real-world Internet of Things," in IEEE Systems, Man, and Cybernetics Magazine (SMC-MAG), accepted.
- P. Rathore, D. Kumar, S. Rajasegarar, M. S. Palaniswami, and J. C. Bezdek " A Scalable Framework for Trajectory Prediction," in IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019, Accepted.
- D. Kumar, Z. Ghafoori, J. C. Bezdek, C. Leckie, K. Ramamohanarao, and M., Palaniswami, " Dealing with Inliers in Feature Vector Data," in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), 2018, Accepted.
- D. Kumar, H. Wu, S. Rajasegarar, C. Leckie, S. Krishnaswamy and M. S. Palaniswami, " Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility," in IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2018, Accepted.
- P. Rathore, D. Kumar, J. C. Bezdek, S. Rajasegarar and M. S. Palaniswami, "A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data," in IEEE Transactions on Knowledge & Data Engineering (TKDE), 2018, Accepted.
- P. Rathore, D. Kumar, S. Rajasegarar, and M. Palaniswami, “Maximum Entropy based Auto Drift Correction using High and Low Precision Sensors.” ACM Transactions on Sensor Networks (TOSN), vol. 13, no. 3, Apr. 2017.
- D. Kumar, J. Bezdek, S. Rajasegarar, M. Palaniswami, C. Leckie, J. Chan, and J. Gubbi, “Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data.” ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 11, no. 2, pp. 24:1-24:40, Dec 2016.
- D. Kumar, J. Bezdek, S. Rajasegarar, C. Leckie, and M. Palaniswami, “A Visual-Numeric Approach to Clustering and Anomaly Detection for Trajectory Data.” The Visual Computer - Springer, vol. 33, no. 3, pp. 265-281, 2017.
- D. Kumar, J. Bezdek, M. Palaniswami, S. Rajasegarar, C. Leckie, and T. Havens, “A Hybrid Approach to Clustering in Big Data.” IEEE Transactions on Cybernetics, vol. 46, no. 10, pp. 2372-2385, Oct. 2016.
- D. Kumar, S. Rajasegarar, and M. Palaniswami, “Geospatial estimation based auto drift correction in wireless sensor networks,” ACM Transactions on Sensor Networks (TOSN), vol. 11, no. 3, pp. 50:1–50:39, Apr. 2015.
- D. Kumar, P. Vimal and Rajesh M. Hegde, “On the Soft Fusion of Probability Mass Functions for Multimodal Speech Processing,” EURASIP Journal on Advances in Signal Processing, vol. 2011, Article ID 294010, 2011.
Honors And Awards
Science and Engineering Research Board (SERB)
2019
Selected for the prestigious Ramanujan fellowship
The University of Melbourne
2012
Melbourne International Fee Remission and Research Scholarships (MIFRS, MIRS)
Teaching Engagements
Digital Image Processing ( ECN 316 )
Spring
Linear Algebra and Random Processes ( ECN 511 )
Autumn
Data Science for Smart Cities ( CE 597 )
Autumn
Students
Distributed data mining for IoT applications
01 Jan 2019 - Present
Other Supervisors: , Scholar: Kartik Vishal Deshpande
Deep learning based Dark block extraction for automatic cluster tendency assessment
31 Aug 2020 - Present
Other Supervisors: , Scholar: Harshal Mittal & Sai Laxman
Privacy preserving clustering tendency assessment
31 Aug 2020 - Present
Other Supervisors: , Scholar: Kartikey Pandey & Samar Singh Karnawat
Clustering tendency assessment for preference data
31 Aug 2020 - Present
Other Supervisors: , Scholar: Anukarsh Khandelwal & Y Agarwal
Miscellaneous
SenZations summer school on applications of IoT and WSN
01 Jan 2013 - Present
SoCioTal (European Union - EU FP7 Project), IotLab and IERC
Summer School on “Computing for Socio-Economic development”
01 Jan 2010 - Present
Microsoft Research India
Institute for Infocomm Research (I2R) - A Star
2015-01-01
Foreign Student Attachment (Internship)
