The growing prominence of research activities in Signal and Image Processing provides ample research opportunities for the prospective researchers. ASPIRE is a hub for researchers working in the area of signal and image processing applications, which use machine learning and deep learning techniques to a great extent. It is envisaged to improve the culture of research among faculty and students who are interested to work in this domain, in terms of funded research projects, doctoral research, student projects,seminars, training programs, publications and internships.
Research Interests: Speech Processing, Image Processing, Machine Learning, Deep Learning, Speaker Forensics
Research Interests: Pattern Classification, Image Segmentation and Classification
Research Interests: Image Processing, Medical Image analysis,Underwater imaging, Deep Learning
Research Interests: Image Processing, Machine Learning, Natural Language processing
Research Interests: Wireless Sensor Networks, Underwater Sensor Networks
Research Interests: Machine Learning, Social Network Analysis, Data Analytics
Research Interests: Computer Vision, Machine Learning, Deep learning, Explainable AI for healthcare, Video summarization
Research Interests: Computer Vision, Deep Learning, Image Processing, Machine Learning, Multi-Objective based Optimization, Spatio-Temporal Video Summarization, Spherical Video Summarization
Research Interests: Computer Vision, Machine Learning, Deep Learning, Image Processing, Precision Agriculture
Research Interests: Intelligent Transportation Systems (ITS), Computer Vision, Image Processing, Machine Learning and Deep Learning
Research Interests: Data Mining, Natural Language Processing, Health Informatics, Machine Learning
Professor,
Dept of Electrical Engineering,
IIT Dharwad
Professor,
Department of Computer Science and Engineering ,
IIT Hyderabad
Professor,
Department of Electrical Engineering & Artificial Intelligence,
IIT Hyderabad
Professor,
Department of Electronics
Cochin University of Science & Technology (CUSAT), Kochi
Professor,
Department of Electronics,
All India Institute of Speech and Hearing (AIISH), Mysuru
Assistant professor,
Department of Computer Science and Engineering,
Maulana Azad National Institute of Technology (MANIT), Bhopal
Associate Professor,
Saint Gits College of Engineering,
Kottayam
Associate Professor,
Department of ECE,
Rajagiri School of Engineering and Technology
Post-doctoral Fellow,
Department of Electrical Engineering,
IISc Bangalore
Associate Professor,
Department of Agricultural Entomology,
College of Agriculture, Vellanikkara
Kerala Agricultural university (KAU)
Sl.No | Title | Scholar | Supervisor |
---|---|---|---|
1 | AI based decision support system for early detection and prediction of gynecological abnormalities | Veenamol K V | Dr. Lidiya Lilly Thampi |
2 | An automated predictive model to scrutinize plant phenotype to fulfill the requirements in agriculture domain | Neethu C T | Dr. Lidiya Lilly Thampi, Dr. Leena Mary |
3 | An IoT-based pesticide detection in leafy vegetables using deep learning | Anju Augustin | Dr.Cinu C Kiliroor |
4 | Heuristic approaches for Giga-pixel whole slide image analysis in digital pathology | Pillai Praveen Thulasidharan | Dr. Jayakrushna Sahoo , Dr. Leena Mary |
Sl.No | Title | Student | Supervisor |
---|---|---|---|
1 | Automated Diagnosis of Covid-19 and Pneumonia Using Transfer Learning | Advait Asok | Dr. Lidiya Lilly Thampi |
2 | Tuberculosis Detection in Chest Radiograph using CNN Models | Jinu John Veyccan | Dr. Lidiya Lilly Thampi |
3 | Air quality estimation in Remote Sensing Data | Navil Paul | Dr. Lidiya Lilly Thampi |
4 | ”Med-Match” Real-Time Medicine Name Matching for Accurate Market Analysis in the Pharmaceutical Industry | Abhijith EM | Dr. Lidiya Lilly Thampi |
5 | Enhancing Retail Supply Chain Efficiency through Multivariate Time Series Forecasting | Sreejesh S | Dr. Lidiya Lilly Thampi |
6 | Banana Leaf Disease Spotting | Amritha M | Dr. Lidiya Lilly Thampi |
7 | AI based predictive and prescriptive recommendation system for effective teaching-learning in K-12 Schooling Ecosystem | Dhanu Kishor | Dr.Cinu C Kiliroor |
Sl.No | Title | Student | Supervisor |
---|---|---|---|
1 | Medical and Plant Image Classification: Machine Learning Based Approaches | Nagi Reddy Desam | Dr.Santhos Kumar A |
2 | Fuzzy Min Max Neural Networks - Clustering | Lalith Kumar Done | Dr.Santhos Kumar A |
3 | Machine learning based on approaches for classification of bio-medical images | Mudigonda Sai Karthikeya | Dr.Santhos Kumar A |
4 | Driver monitoring system using ML in IoT devices | Aditi Shukla | Dr.Santhos Kumar A |
5 | Detection of mental illness like depression using ML and sentimental analysis | Aditi Shukla | Dr.Santhos Kumar A |
6 | Performance Evaluation of Deep Learning Techniques for Masked Face Recognition | Shaik Luckman Lal Miya Bahadur | Dr.Santhos Kumar A |
7 | Blockchain Based Learning Management System | Alwin Sebastian, Abhimanyu Kumbhar, K Raghuvamshi , Raguraam D |
Dr.Santhos Kumar A |
8 | Sentiment-Based Simplification of Legal Text | Som Sagar, Swani D |
Dr.Cinu C Kiliroor |
9 | Forensic Automatic Speaker Recognition: Coping with Speaker Impersonation | Laxmi Harshitha | Dr. Leena Mary |
10 | Driver Drowsiness Detection | Karthikeya, Ibrahim, Sunny , Abhishek Kumar |
Dr.Santhos Kumar A |
11 | Emotion Recognition from Speech using Deep Learning Models | Fathima Hanan Parakkot | Dr. Leena Mary |
12 | Clone Identification of Rubber Plants using Image Processing Techniques | Gurram Varshini | Dr. Leena Mary |
13 | Automatic Spoken Language Identification | Pujari Umesh | Dr. Leena Mary |
14 | Text-independent Automatic Speaker Recognition | Arundhathy K. | Dr. Leena Mary |
Sl.No | Title | Scholar | Supervisor |
---|---|---|---|
1 | Stem Bleeding in Coconut trees | Ben George | Dr. Lidiya Lilly Thampi |
2 | Epilepsy detection in EEG signals | Martha Simon | Dr. Lidiya Lilly Thampi |
3 | Deep Learning based human Identification through Gait Features | Aswin Asok | Dr.Cinu C Kiliroor |