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List of Current Students
List of Current Students
Ph.D. Students
Prashant Prabhakar
Topic of research: Co-training based multi-view learning for effective classification
Area of Research: Multi-view learning, Machine Learning, Data Mining,
Period: 2019 to till now
Ritika Ringh
Topic of research: Multi-view feature set partitioning methods for effective classification
Area of Research: Multi-view learning, Machine Learning, Data Mining
Period: 2020 to till now
Naushad Ahmad
Topic of research: AQI prediction based on PM2.5 using statistical model and deep learning model
Area of Research: Time series analysis, Machine Learning, Data Mining, AQI
Period: 2019 to till now
Ibrahim Momin
Topic of research: Detection of neurological disease based on deep learning from MRI Image
Area of Research: Computer Vision, Medical Image Processing, Machine Learning, Data Mining,
Period: 2020 to till now
Current M.Tech. Students
Current B.Tech. Students
Ex Lab Members
Ex Lab Members
Ex. M.Tech. Students
Abhijeet Kumar
Topic of research: TIME SERIES PREDICTION OF SUNSPOT NUMBER USING DEEP LEARNING MODELS
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
Subham Kumar
Topic of research: MULTI-VIEW STACKED CNN-BILSTM (MVS CNN-BILSTM) FOR URBAN PM2.5 CONCENTRATION PREDICTION OF INDIA’S POLLUTED CITIES
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
Rana Kumar
Topic of research: MULTI-BIDIRECTIONAL SHIFTING BASED DATA TRANSFORMATION (MBIS-DT) FOR TEMPERATURE PREDICTIONS USING ENSEMBLED DEEP LEARNING MODEL
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
MD. Aamir Sohail
Topic of research: MULTIVIEW-XGBOOST REGRESSION (MV-XGBR) MODEL FOR SALES PREDICTION OF VARIOUS TIME SERIES STORES DATA
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
Shahzeb Khan
Topic of research:A NOVEL REDUCTIVE BIAS AND HYBRID GRU-CNN(RB-GRU-CNN) MODEL FOR PREDICTION OF PTB DIAGNOSTIC ECG TIME SERIES DATA
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
Amod Kumar
Topic of research: HYBRID DEEP LEARNING MODELS FOR SOLAR IRRADIANCE FORECASTING OF INDIA’S CITIES
Area of Research: Time Series Analysis, Machine Learning, Deep Learning
Period: 2022 to 2023
Gaurav Kumar
Topic of dissertation: HERBAL PLANTS LEAF IMAGE CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING BASED ON AUGMENTATION APPROACH
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2021 to 2022
Vinita Kumari
Topic of dissertation: SPICE LEAF IMAGE CLASSIFICATION USING MACHINE LEARNING TECHNIQUES
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2021 to 2022
Aaryan Kumar Hrithik
Topic of dissertation: CLASSIFICATION OF FRUIT PLANTS LEAF AND COMPARATIVE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2021 to 2022
Chitranjan Kumar
Topic of dissertation: MACHINE LEARNING FOR VEGETABLES PLANTS LEAVES IMAGE CLASSIFICATION
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2021 to 2022
Bittu Kumar Aman
Topic of dissertation: FLOWER LEAF IMAGE CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
Area of Research: Image Processing, Machine Learning, Deep Learning, Flower Plants Leaf
Period: 2021 to 2022
Watan Kishor Varma
Topic of dissertation: CROP LEAF IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES
Area of Research: Image Processing, Machine Learning, Deep Learning, Crops Plants Leaf
Period: 2021 to 2022
Anchit Akshansh
Topic of dissertation: VIRUS PREDICTION USING LAZY PREDICT IN MACHINE LEARNING
Area of Research: Machine Learning, Virus Prediction, Classification, Text Mining.
Period: 2021 to 2022
Aparna
Topic of dissertation: IMAGE CLASSIFICATION OF ORNAMENTAL PLANTS LEAF USING MACHINE LEARNING ALGORITHMS
Area of Research: Image Processing, Machine Learning, Deep Learning, Ornamental Plants Leaf
Period: 2021 to 2022
Sapna Kumari
Topic of dissertation: EFFECTIVENESS ANALYSIS OF DISTANCE MEASURES FOR GRAPH COLORING BASED VIEW CONSTRUCTION APPROACH IN MULTI-VIEW ENSEMBLE LEARNING
Area of Research: Machine Learning, Multi-view Learning, Classification, Feature set Partitioning.
Period: 2020 to 2021
Aditya Kumar
Topic of dissertation: GRAPH COLORING BASED VIEW CONSTRUCTION METHOD FOR MULTI-VIEW ENSEMBLE LEARNING
Area of Research: Machine Learning, Classification, Computer Vision, Image Processing.
Period: 2020 to 2021
Md. Tanveer Alam
Topic of dissertation: A MULTI-VIEW CONVOLUTIONAL NEURAL NETWORK APPROACH FOR IMAGE DATA CLASSIFICATION
Area of Research: Machine Learning, Deep Learning, Classification, Computer Vision, Image Processing.
Period: 2020 to 2021
B.Tech. Students
B.Tech. Students
Ranvir Kumar
Topic of research: CROP SEEDS ADULTERATION DETECTION USING YOLOV8
Area of Research: Image Processing, Object detection, Computer vision, Machine Learning, Deep Learning
Period: 2022 to 2023
Riya Raj
Topic of research: PLANT LEAF IMAGE CLASSIFICATION BASED ON NOVEL LEAF-SHAPE GEOMETRIC FEATURE
Area of Research: Image Processing, Machine Learning, Computer vision
Period: 2022 to 2023
Aayush Shrivastava
Topic of research: COMPARATIVE ANALYSIS AND EVALUATION OF MACHINE LEARNING BASED TECHNIQUES FOR
Area of Research: Image Processing, Machine Learning, Deep Learning, Computer vision
Period: 2022 to 2023
Rajan Kumar
Topic of research: VEGETABLE SEEDS ADULTERATION DETECTION USING YOLOV8
Area of Research: Image Processing, Object detection, Computer vision, Machine Learning, Deep Learning
Period: 2022 to 2023
Faiza Chand
Topic of research: A NOVEL ENSEMBLE LOSS FUNCTION OF FEW-SHOT LEARNING FOR TOMATO LEAF DISEASE DETECTION
Area of Research: Image Processing, Few-shot learning, Machine Learning, Deep Learning
Period: 2022 to 2023
Altmas khan
Topic of research: WEEDS PLANT LEAF IMAGES CLASSIFICATION USING MACHINE LEARNING ALGORITHMS BASED-ON NOVEL DATASET
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2022 to 2023
Manish Kumar
Topic of dissertation: LEAF DISEASE DETECTION IN RICE AND MAIZE USING ENSEMBLE LEARNING
Area of Research: Classification, Image Processing, Machine Learning, Deep Learning, Augmentation & Segmentation
Period: 2020 to 2021
Ullas Shrivastava
Topic of dissertation: AN ENSEMBLE LEARNING APPROACH WITH SELF-ADJUSTING WEIGHTS OF CLASSIFIERS FOR AUTOMATIC DIABETIC RETINOPATHY DETECTION
Area of Research: Classification, Image Processing, Machine Learning, Deep Learning, Augmentation & Segmentation, Diabetic Retinopathy detection.
Period: 2020 to 2021
Sakshi Shriya
Topic of dissertation: DRY BEANS CLASSIFICATION USING ENSEMBLE LEARNING
Area of Research: Seeds Classification, Image Processing, Machine Learning, Deep Learning
Period: 2020 to 2021
Shweta Mishra
Topic of dissertation: WEATHER RECOGNITION AND CROP STAGE DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK
Area of Research: Image Processing, Machine Learning, Deep Learning
Period: 2020 to 2021
Saurabh Kumar
Topic of dissertation: CONCRETE CRACK DETECTION AND SEGMENTATION: AN ENSEMBLE BASED APPROACH
Area of Research: Classification, Image Processing, Machine Learning, Deep Learning, Augmentation & Segmentation
Period: 2020 to 2021
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