Head, Computer Science and Engineering
Contact Info
+91 535 2704 626
head_cse@rgipt.ac.in
Personal Webpage
Assistant Professor
+91 535 2704 750
akashy@rgipt.ac.in
Crowdsourcing
+91 535 2704 671
gsrivastava@rgipt.ac.in
Computer Vision
+91 535 2704 547
kalka.dubey@rgipt.ac.in
Internet of Things
manish.bhanu@rgipt.ac.in
+91 535 2704 672
nktagore@rgipt.ac.in
+91 535 2704 858
psaikia@rgipt.ac.in
Artificial Intelligence
+91 535 2704 841
santosh.mishra@rgipt.ac.in
Natural Language Processing
sumitm@rgipt.ac.in
Algorithms in Evolutionary Algorithms
Associate Professor
susham@rgipt.ac.in
LiDAR
+91 535 2704 901
vbaghel@rgipt.ac.in
Specialization
Area of Interest
Crowdsourcing; Team Formation and Resource Allocation; Approximation Algorithms; Time Synchronization; Software Defined Networking;
Computer Vision; Image Processing; Artificial Intelligence; Machine Learning; Deep Learning;
Integration and Applications of Fog Computing and Cloud Computing Based on the Internet of Things (IoT); Computational Resource Allocation; Energy-Efficient Task Scheduling; Task-Offloading; Security, Privacy, and Trust in IoT; Service Computing and IoT; Load Balancing; Green Cloud Computing; Distributed Data Analytics; Soft Computing; Virtualization;
Traffic Forecasting
Traffic Forecasting; Rumor Verification; Crisis Informatic;
Artificial Intelligence; Deep Learning; Machine Learning/Deep Learning Applications; AI-based Generative models for computer vision; Adversarial Learning for Deepfake Detection and Generation; Multi-modal data for fake news detection; Multi-sensor data for reservoir characterization/ disease analysis; Graph Neural Network for Social Network Analysis;
Natural Language Processing; Artificial Intelligence; Machine Learning; Deep Learning;
Algorithms in Evolutionary Algorithms; Clustering Algorithms;
LiDAR: Laser Scanning, Laser Data Processing and Deriving Applications; Digital Image Processing; Environmental Applications (e.g., Noise Mapping, Fire Detection) with high-resolution terrain data through data processing, feature extraction, modeling, GIS and Data Science approaches;
Computer Vision; Biometrics; Machine Learning; Deep Learning;