About
Dr Sandeep Kumar (Senior Member IEEE, Senior Member ACM) is currently working as a Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, India. He has supervised six PhD thesis and about fourty five master dissertations. He has published about sixty research papers in international/national journals and conferences, has written three books and some book-chapters with Springer, andhas filed two patents and two copyrights. He is the member of board of studies of various universities and institutions. He is currently handling multiple national and international research/consultancy projects. He has received Young Faculty Research Fellowship award from MeitY, Govt. of India, NSF/TCPP early adopter award-2014, 2015, ITS Travel Awards and others. His name has also been enlisted in major directories such as Marquis Whos Who, IBC and others. His areas of interest include Semantic Web, Web Services, Machine Learning, and Software Engineering.
Employment
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Indian Institute of Technology Roorkee Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (144)
- Artificial Intelligence Failures in Autonomous Vehicles: Causes, Implications, and Prevention Save
- Cross Project Defect Prediction using Dropout Regularized Deep Learning and Unique Matched Metrics Save
- Remote Work and Gender Inequality: Unmasking the Challenges and Seeking Solutions Save
- An Approach for Cross Project Defect Prediction Using Identical Metrics Matching and Deep Neural Network Save
- An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index Save
- Development of an Ontology-Based Technique for Labeling Land Cover Classes with Minimum Utilization of SAR Features Save
- Concept Drift in Software Defect Prediction: A Method for Detecting and Handling the Drift Save
- Self-Adaptive Ensemble-based Approach for Software Effort Estimation Save
- A QoS-Aware Clustering based Multi-layer Model for Web Service Selection Save
- An Efficient Application of Machine Learning for Assessment of Terrain 3D Information Using Drone Data Save