A5006519212- Stock Market Forecasting Methods
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Malware Detection Techniques
- Gaze Tracking and Assistive Technology
- Natural Language Processing Techniques
- Spectroscopy and Chemometric Analyses
- Vehicle Dynamics and Control Systems
- Remote Sensing and Land Use
- Micro and Nano Robotics
- Ergonomics and Human Factors
- Spam and Phishing Detection
- Technology Use by Older Adults
- COVID-19 Pandemic Impacts
- Assistive Technology in Communication and Mobility
- Demographic Trends and Gender Preferences
- COVID-19 epidemiological studies
- Soft Robotics and Applications
- Edcuational Technology Systems
- COVID-19 diagnosis using AI
- Remote-Sensing Image Classification
- Cognitive Functions and Memory
- Digital and Cyber Forensics
- Web Data Mining and Analysis
- Speech and dialogue systems
University of Wisconsin–Milwaukee
2022-2025
Comilla University
2018-2023
Green University of Bangladesh
2019
The ever-growing World Wide Web (WWW) containing textual movie reviews from Facebook groups, personal blogs, newspapers, dedicated review sites has crucial impacts on intended users and providers where can find the desired movies in his preference by checking build a better recommendation system that influences marketing policy revenues generated advertising campaigns. manual approach to analyze this is complex time-consuming hence it requires specialized automated systems. Sentiment...
Social media playing an indispensable role in our daily life providing a public platform to share opinions including threats, spam and vulgar words often referred as toxic comments. This type of expression depicts the anti-social behavior commentators which may hamper online atmosphere. Filtering such comments by handcrafting rules is cumbersome because they are unstructured include misspelled obscene words. Automated machine learning-based models classify constitute part Sentiment Analysis...
Information Extraction (IE) from textual documents locates important entities and their underlying connections using automated systems which are crucial to different applications including Data Mining (DM), Question Answering (QA), Machine Translation (MT) so on. Named Entity Recognition (NER) being a sub-component of Natural Language Processing (NLP) is an IE task aims at locating the presence belonging prescribed set classes. Due its political geographical influence, Bangla language widely...
Digital contents in Bengali text are increasing with the advancements of World Wide Web (WWW) to express sentiment content originators from mixed perspectives. These high voluminous unstructured web can be utilized build smarter tools assist people through Natural Language Processing (NLP). Though NLP still inadequate due its inherent complexities, research on Sentiment Analysis is flourishing as a challenging area and getting researcher's attention at rapid pace. To do this area,...
Hyperspectral imaging has been an important field for researchers having numerous applications in many sectors. But this extensively used ground cover classification. Due to the high dimensionality of hyperspectral imaging, it become a daunting task and possible solution is feature reduction. In paper, we propose hybrid technique reduction by combining extraction selection. After extracting features first technique, selection applied. Here Principal Component Analysis (PCA), well-known...
The advancements in mixed reality (MR) technology recent years have provided us with excellent prospects for creating novel approaches to supplement conventional physiotherapy maintain a sufficient quantity and quality of rehabilitation. use MR systems facilitate patients’ participation intensive, repetitive, task-oriented practice using cutting-edge technologies enhance functionality recovery is very encouraging. Multiple studies found that patients who undergo therapy experience...
In this AI-driven digital era, the pervasive nature of data is possible due to widespread and cheap access Internet. Internet continuously flourishing with in many forms. Among them, textual are a great source information where people share their expressions written format. Social media, blogs, online newspapers, government documents some notable sources. Information extraction from enormous amount by manual inspection time-consuming, cumbersome, sometimes impossible. Natural Language...
The classification of online buyers' purchasing intentions is paramount importance, especially in the context period COVID-19/post-COVID-19 pandemic, as it carries significant implications for business industry. However, effectively managing diverse ever-changing individual Internet customers remains a challenging task. This study aims to improve techniques used classify different sorts intents Bangladesh. A comprehensive analysis algorithms reveals that Random Forest algorithm outperformed...
The increasing number of powered wheelchair users, driven by an aging global population and advancements in medical care, highlights a critical need to understand their unique experiences challenges, particularly regarding assistive technologies caregiver support. Our study, drawing on qualitative data from 11 participants with diverse disabilities, investigates the complex interplay technology, independence, socio-economic factors lives. It reveals significant gap between potential actual...