Emran Ali
Ph.D. Researcher
IT @ Deakin University, Australia
CSM @ Coventry University, United Kingdom
AI | ML | DL | Interpretability | Health Informatics
Emran's Profile
I am a Doctor of Philosophy (Ph.D.) candidate in Information Technology (IT) at Deakin University, Australia, in collaboration with Coventry University, United Kingdom. I am a research and development enthusiast in Data Analytics, Machine Learning, Interpretability and Optimisation. Experienced in: Machine Learning, Deep Learning, Health Informatics, Disease Prediction and (Physiological) Signal Processing.
- Ph.D.: IT@Deakin & CSM@Coventry University - (Ongoing)
- Master's: IT(Research)@Deakin
- Bachelor's: CSE@HSTU
- Scholarship (Ph.D.): DUPRS, Cotutelle (Deakin & Coventry)
- Fellowship (Master's): BSTF, Ministry of Sci.&Tech., Bangladesh
- Membership: ACS, IEEE, EMBS, DUSA, DAIS & DSEC
- Industry Involvement (Research): Alfred Health and AETMOS
- Teaching: HSTU & (Casual)@Deakin
- Software Development: Sr. Dev.@DROIDBD & AAPBD
- Projects: ICU Seizure Detection & Air Quality Prediction
- Email: emran.ali@research.deakin.edu.au
- Skype: wwm.emran
- Website: https//www.linkedin.com/in/wwmemran
- Website: https://wwm-emran.github.io
Recent works with: EEG Signal, EEG Channel Optimisation, Epilepsy, Sleep, Aging, Seizure Detection, ML Model Interpretability, Meteorological Data, Air Quality Prediction.
Research Area: Artificial Intelligence (AI) | Machine Learning (ML) | Deep Learning (DL) | Interpretability* | Health Informatics* | (Bio)Signal Processing | Medical Technology (MedTech) | EEG | Epilepsy | Sleep* | Aging* | Air Quality
About
This is Emran.
I wish to cherish and enjoy every moment of my existence.
I really like nature and anything that is simple.
I am a friendly and travel maniac individual.
I am very enthusiastic about learning new things, especially those that I like.
I was intrigued by the first lecture about Machine Learning explaining how humans and machines learn from the environment in the same way.
Exploring Machine Learning has become my passion since then and a part of my profession since my early career.
I earned a 4-year Bachelor of Science (B.Sc.) degree in Computer Science and Engineering (CSE) at
Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh with a year of partial research involvement.
My research focused on searching algorithm enhancement.
I also did project works during this period.
I was also involved in various activities including voluntary work, tech event management, and participation in computer programming contests.
After my graduation, I worked in software development industries in my home country for almost 3 years and
developed many iOS apps independently as well as in a group.
I started my career at Kento Studios Ltd. then moving to DROID Bangladesh (DROIDBD) Ltd. and finally at Advanced Apps Bangladesh (AAPBD) Ltd.
I focused on software development strategies, automation and industry management skills.
Within this period, I had been promoted to senior software engineer and software development manager.
I also received the best employee award for the recognition of my devotion and hard work.
Later, I worked as an academician and a faculty member under the department of CSE at HSTU, where I have been working there for over 8 years.
I conducted variety of major courses in CSE and was also involved in research works, projects and research supervision.
I taught different courses including the major courses- computer programming languages: C, C++, Java, PHP, C#;
web technologies: HTML, CSS, PHP, MySQL;
database systems: Database Systems, Oracle, MySQL; smartphone app development; data science: Artificial Intelligence, Machine Learning,
Pattern Recognition; Computer hardware.
I had been awarded a fellowship from the Ministry of Science and Technology, the People’s Republic of Bangladesh,
for higher studies in the Science, Technology, Engineering and Mathematics (STEM) areas.
Then I finished my 2-year Master of Science (M.Sc.) degree by research in Information Technology (IT) from Deakin University, Australia.
It was a complete research-based program offered by the School of IT (SIT) at the Melbourne Burwood campus.
My research during master's was mainly based the application of machine learning and optimisation in physiological signal (biosignal) processing and disease detection.
To be specific Brain signal (Electroencephalograms-EEG) analysis and apply machine learning method for
epileptic seizure disease/disorder detection.
In these two years, I have been able to publish a few research articles along with a feature extractor library in
Python language which will soon be available for the research community.
I had also worked as a research assistant on several research projects.
A voluntary project initiation from Deakin University in collaboration with Monash University and Alfred Health for
detecting/predicting epileptic seizures automatically in ICU patients, and detection of minimising the EEG channel to observe.
In another project in collaboration with Monash University and AETMOS Australia (Air quality monitoring and healthy environment solution provider),
I worked on indoor air temperature prediction for air quality forecasting and observed the relationship between
indoor air temperature with health concerns.
I have been offered a Cotutelle (join) Doctor of Philosophy (Ph.D.) program at Deakin University, Australia
in collaboration with Coventry University, United Kingdom.
This type of program is conducted by all the collaborating universities and under the supervision of faculty members from all the participating universities.
I will be doing my research on finding the relationship between sleep and sleep stages, with (healthy) aging.
I am intended to use interpretable ML models in this project.
This will be another ML application based project that will use physiological signals.
I have good management, leadership, and technical skills with expertise in programming and data analytics which I achieved from my practices and experiences.
I am looking forward to utilising my research knowledge and development skills to come up with industry-grade products or services that will contribute to shaping a better future.
Key Information
Key information about the study, experience, research, and achievements.
Years of teaching and research experience
Years of software development experience
Projects with research contribution
Publications related to research
Institutional involvement in academic and research
Industrial involvement in research and software development
Research collaboration with institutes and industries
Specialisation Certificates for courses and training
Education
I am an enthusiastic, hardworking, and patient learner and researcher who aspire to explore and expand my knowledge of Machine Learning and Deep Learning in the applied fields especially healthcare, automation, human-computer interaction, and Bio-sciences.
Sumary
Current Status
- Cotutelle HDR (PGR) Research Student.
- Ph.D. Candidate & Graduate Researcher @Deakin & Coventry University
- Deakin-Coventry Cotutelle Scholar
- Application of AI, ML and DL in Biomedical and Health Informatics Research
- Institution-Industry Collaboration
Doctor of Philosophy (Ph.D.)
Information Technology (IT)
Deakin University, Melbourne, Australia
Jan. 2023 - Present | Full-time | 3-year
Specialisation: Biomedical science with health informatics, signal processing, Machine Learning (ML) and Deep Learning (DL) specialty
Scholarship: Deakin University Postgraduate Research Scholarship (DUPRS) - During study period at Deakin University
Research Topic: A machine learning-based analysis of sleep patterns in aging using physiological signals.
Activities and Involvements: Research · Development · Industry collaboration · Student community engagement - Australian Computer Society (ACS) · Deakin University Student Association (DUSA) · Deakin University Biomed Society (DUBS) · Deakin University Biomed Society (DUBS) ·
Deakin Software Engineering Club (DSEC) · Deakin AI Society (DAIS)
Description:
This program is a Cotutelle (joint) program hosted by Deakin University (host institute), Australia in collaboration with Coventry University (guest institute), United Kingdom.
It a full-time research-based program for 3 years from both of the universities with signal processing, Machine Learning (ML) and Deep Learning (DL) specialty.
From Deakin University this program is provided under the School of Information Technology (SIT), Faculty of Science, Engineering, and Built Environment (SEBE).
The research is conducted under the Data Analytics and Research Lab (DARL) at Deakin.
Research and projects:
Computational Science and Mathematical Modeling (CSM)
Coventry University, Coventry, United Kingdom
Jan. 2023 - Present | Full-time | 3-year
Specialisation: Biomedical science with health informatics, signal processing, Machine Learning (ML) and Deep Learning (DL) specialty
Scholarship: Cotutelle Studentship Fund - During study period at Coventry University
Research Topic: A machine learning-based analysis of sleep patterns in aging using physiological signals.
Description:
This program is a Cotutelle (joint) program and is completed from both universitiesl Deakin University (host institute) and Coventry University (guest institute).
PhD Candidature confirmation, yearly progress, and thesis defence is conducted by both of the institutes separately.
The research is conducted under the Centre for Computational Science and Mathematical Modeling (CCSM).
Research and projects:
Master of Science by Research (M.Res.)
Information Technology (IT)
Deakin University, Melbourne, Australia
Feb. 2020 - Feb. 2022 | Full-time | 2-year (Awarded in Oct. 2022)
Specialisation: Biomedical Science with signal processing and Machine Learning specialty
Fellowship: BST Fellowship (BSTF)
Research Topic: Minimising Scalp Electroencephalograms Channels for Epileptic Seizure Detection.
Activities and Involvements: Research · Development · Industry involvement · Student community engagement - Deakin University Student Association (DUSA)
Description:
This program is a full-time research-based program for 2 years under the School of Information Technology (SIT), Faculty of Science, Engineering, and Built Environment (SEBE).
The research is conducted under the Data to Intelligence (D2I) Research Centre in Biomedical Engineering with signal processing and Machine Learning (ML) specialty.
Thesis: Minimising electroencephalogram channels for epileptic seizures detection · More than 50,000 words
Research and projects:
- Channel minimization for epileptic seizure detection/prediction from surface Electroencephalogram (EEG) using signal processing and Machine Learning (ML) techniques.
- Epileptic seizure detection using single channels using Deep Learning from continuous EEG of ICU patients. (A collaborative work with Monash University and Alfred Health)
- Air Quality Prediction from meteorological and traffic data - An MAAP linkage ARC project funded by the Australian Research Council (ARC). (A collaborative work with Monash University and sensor industry AETMOS)
Bachelor of Science (B.Sc.)
Computer Science and Engineering (CSE)
Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh
Jan. 2007 - Dec. 2010 (Awarded in Feb. 2012) | Full-time | 4-year
Research Topic: Advanced String Searching Mechanism with Indexed Binary Search for J2ME English to English Dictionary Application.
Activities and Involvements: Study · Research · Software/application development · Computer programming contest · Computer programming community - Programmers Arena
Description: This degree is provided by the Department of Computer Science and Engineering (CSE), Faculty of Computer Science and Engineering (CSE).
Different subject areas of computer science and computer engineering is tought in this program including:
mathematics, physiscs, statistics, computer programming and programming language (C, C++, Java, PHP, etc), database, artificial Intelligence, machine learning, software engineering, system design, microprocessors, etc.
The project and/or research is conducted as part of mendatory unit in the last year of this 4-year program.
Thesis: J2ME English to English Dictionary with Indexed Binary Search · More than 9,500 words
Research and projects:
Professional Experiences
I am a hardworking, and quick-learner who has experties in working in industry and academia. I am with the opportunity to be able to relate industry and academia through my experiences in research and development. A research and development enthusiast having 3+ years of software development & project management skills. An academician with research and industry engagement with 8+ years of experiences. Looking forward to research and development of optimised health informatics method, device and application using AI and ML.
Sumary
Areas of experties
- Software Development, Team Management & Project Management
- Health Informatics & Education Industries
- Application of AI, ML and DL in Biomedical and Health Informatics Research
Research Interests
Machine Learning and Deep Learning in the applied fields especially healthcare, automation, human-computer interaction and Bio-sciences.
- Biomedical Science
- Health Informatics
- Disease Detection and Prediction
- Time series Data Analysis
- Biosignal Analysis
- EEG and Brain Signal Analysis
- Data Science
- Machine (Deep) Learning
- Interpretability
- Optimisation
- Epilepsy
- Sleep*
- Aging*
- Air Quality
Research Experiences
Deakin University
Deakin University, Melbourne, Australia
Research Assistant
Oct. 2024 - Nov. 2024, Oct. 2023 - Dec. 2023 | Casual/Contract | 2+3 months
Responsibilities:
- Learning research methodology and strategy.
- Research conduction.
- Documentation and publishing.
Related Skills: Research · Health Informatics · Machine Learning · Deep Learning · Biomedical Sciences · Signal Processing · Data Science · Data Analysis · Deep Learning · Python (Programming Language) · Biomedical Engineering · LaTeX · Programming · Algorithms · Health Informatics · GitHub
Graduate Researcher (Ph.D. Student)
Jan. 2023 - Present | Full-time | 3 years
Responsibilities:
- Learning research methodology and strategy.
- Research conduction.
- Documentation and publishing.
Related Skills: Research · Health Informatics · Machine Learning · Deep Learning · Biomedical Sciences · Signal Processing · Data Science · Data Analysis · Deep Learning · Python (Programming Language) · Biomedical Engineering · LaTeX · Programming · Algorithms · Health Informatics · GitHub
Graduate Researcher (M.Sc. Student)
Feb. 2020 - Oct. 2022 | Full-time | ~2.75 years
Responsibilities:
- Learning research methodology and strategy.
- Research conduction.
- Documentation and publishing.
Related Skills: Research · Health Informatics · Machine Learning · Biomedical Sciences · Signal Processing · Data Science · Data Analysis · Deep Learning · Python (Programming Language) · Biomedical Engineering · LaTeX · Programming · Algorithms · Health Informatics · GitHub
Research Assistant
Aug. 2020 - Sep. 2022 | Casual/Contract | 2 years
Responsibilities:
- Research and collaboration with Monash University and Alfred Health in the initial design of a seizure detection system for ICU patients.
- Data pre-processing and result post-processing.
- ML and DL model evaluation, testing, and visualization.
- Worked as an official (funded) employee from Aug 2021 to Dec 2021 and the rest of the period as a volunteer.
Related Skills: Research · Health Informatics · Machine Learning · Biomedical Sciences · Signal Processing · Data Science · Data Analysis · Deep Learning · Python (Programming Language) · Biomedical Engineering · LaTeX · Programming · Algorithms · Health Informatics · GitHub
Research Assistant
Mar. 2022 - Sep. 2022 | Casual/Contract | 2.6 years
Responsibilities:
- A MAAP linkage ARC project funded by the Australian Research Council (ARC).
- Research and collaboration with Monash University and AETMOS (https://aetmos.com.au/) for Air Quality Prediction.
- Air Quality and Indoor Air Temperature Prediction from meteorological and traffic data.
- Effect of indoor and outdoor temperature on people's health.
- Application of Deep Learning (DL).
Related Skills: Research · Machine Learning · Signal Processing · Data Science · Data Analysis · Deep Learning · Python (Programming Language) · LaTeX · Programming · GitHub · Project Management
Hajee Mohammad Danesh Science and Technology University (HSTU)
HSTU, Dinajpur, Bangladesh
Research Supervisor
Sep. 2014 - Jan. 2023 | Full-time | ~9 years
Responsibilities:
- Research conduction.
- Research supervision of undergraduate students.
Related Skills: Research · Machine Learning · Programming · Algorithms · Teaching · OOP · Database Design · Educational Technology · C · C++ · Java · University Teaching · Public Speaking · Programming Languages
Training Experiences
Intersect Australia
Sydney, Australia
Digital Research Trainer
Mar. 2023 - Present | Casual/Contract | ~2 years
Responsibilities:
- Training the researchers.
- Training assistance.
- Training content creation and modification.
- PYTHON101: Introduction to Programming: Python
- PYTHON203: Data Manipulation and Visualisation
- PYTHON205: Introduction to Machine Learning: Regression
- PYTHON206: Introduction to Machine Learning: Classification
- PYTHON207: Introduction to Machine Learning: Unsupervised Learning
Related Skills: Programming · Machine Learning · Data Science · Deep Learning · Python (Programming Language) · Teaching · Database Design · Training · Assistance · Demonstration
Teaching Experiences
Deakin University
Deakin University, Melbourne, Australia
Sessional Academic Staff
Mar. 2020 - Present | Casual/Contract | ~5 years
Responsibilities:
- Course assistance.
- Assistance in examination process and evaluation.
- Assistance in student HelpHub.
- SIT720-Machine Learning || Python, ML, AI || T2-2020, T2-2021, T1-2022, T2-2022, T2-2023, T2-2024
- MIS781-Business Intelligence and Database || Database, SQL, Power BI || T1-2023
- MIS710-Machine Learning in Business || Python, ML, Business use case analysis: || T2-2023, T1-2024, T2-2024
- MIS384-Marketing Analytics || Database, SQL, BigQuery, GCP || T1-2024
- Other miscellaneous courses: Database, Computer programming (C, C++, C#)
Related Skills: Machine Learning · Data Science · Deep Learning · Python (Programming Language) · Programming · Teaching · Database Design · Educational Technology · University Teaching
Hajee Mohammad Danesh Science and Technology University (HSTU)
HSTU, Dinajpur, Bangladesh
Assistant Professor
Sep. 2017 - Present | Full-time | ~7 years
Responsibilities:
- Course (theory and sessional) conduction, examination process and evaluation.
- Research conduction and supervision.
- Currently on leave for higher studies since February 2020.
Related Skills: Research · Machine Learning · Programming · Algorithms · Teaching · OOP · Database Design · Educational Technology · C · C++ · Java · University Teaching · Public Speaking · Programming Languages
Lecturer
Sep. 2014 - Aug. 2017 | Full-time | 3 years
Responsibilities:
- Course (theory and sessional) conduction, examination process and evaluation.
- Research conduction and supervision.
Related Skills: Research · Machine Learning · Programming · Algorithms · Teaching · OOP · Database Design · Educational Technology · C · C++ · Java · University Teaching · Public Speaking · Programming Languages
Industrial (Software Development) Experiences
Advanced Apps Bangladesh (AAPBD) Ltd.
AAPBD, Dhaka, Bangladesh
Project Development Manager & Senior Software Engineer
Jan. 2014 - Aug. 2014 | Full-time | 8 months
Responsibilities:
- AAPBD previously was DROIDBD, and currently working as AppBajar and The Borak.
- Project Management: Project management, app design, app testing, and client management.
- Involved in the development of more than 50 apps.
- iOS application design, development, implementation, testing and instructing new members.
- Other platforms: Android apps, web apps using PHP, MySQL, JS etc
Related Skills: Programming · Algorithms · iOS Development · Swift (Programming Language) · Xcode · GitHub · Software Engineering · Mobile Applications · Android Development · Software Project Management · Project Management · Software Design · Web Services · OOP · iOS · Objective-C · iOS Application Development
Droid Bangladesh (DROIDBD) Ltd.
DROIDBD, Dhaka, Bangladesh
Senior Software Engineer
May. 2012 - Dec. 2013 | Full-time | 1.75 years
Responsibilities:
- iOS application design
- iOS application development & implementation
- iOS application testing
- iOS application training new members
Related Skills: Programming · Algorithms · iOS Development · Xcode · GitHub · Software Engineering · Mobile Applications · Software Design · Web Services · OOP · iOS · Objective-C · iOS Application Development
Kento Studios Ltd.
Kento Studios, Dhaka, Bangladesh
Programmer
Feb. 2012 - May. 2012 | Full-time | 4 months
Responsibilities:
- iOS application design
- iOS application development
- iOS application testing
- iOS Game design
Related Skills: Programming · Algorithms · iOS Development · Xcode · GitHub · Software Engineering · Mobile Applications · Software Design · Web Services · OOP · iOS · Objective-C · iOS Application Development
Expertise, Skills and Achievements
All the expertise, skills and achievements from study and professional careers.
Skills and Tools
From the personal assessment of learning, I am well-equipped with the latest data analytics, machine learning technologies and soft skills.
Bertelsmann Next Generation Tech Booster Scholarship
Bertelsmann Next Generation Tech Booster Scholarships (Phase 1) for 1 Udacity nanodegrees worth more than $1,500
AWS AI/ML Scholarship
AWS AI/ML Scholarships (Phase 1 and 2) for 2 Udacity nanodegrees worth more than $8,000
Cotutelle Studentship
Joint Ph.D. Program & Funding (During study period at Coventry University) - CSM, Coventry University · (Ongoing)
DUPR Scholarship
Joint Ph.D. Program & Funding (During study period at Deakin University) - DUPR, Deakin University · (Ongoing)
Best Presentation Award
Annual School Conference - School of IT, Deakin University · Dec 2021
BST Fellowship (BSTF)
Fully funded fellowship for higher education - BSTF Trust, Ministry of Science and Technology, Bangladesh · Feb 2020
Best Employee Award
Best employee of year 2014 - Advanced Apps Bangladesh (AAPBD) Ltd., Bangladesh · Jul 2014
Country Topper (Bangladesh)
Post-graduation Entrance Exam - South Asian University (SAU), New Dehli, India · Apr 2013
Undergraduate Department Topper
First Place from the undergrad batch - HSTU, Bangladesh · Mar 2012
InUPC Champion
Intra-University Programming Contest (InUPC) Champion - HSTU, Bangladesh · Feb 2009
- All
- Certificate
- Training
- Course
- Conference
- Bootcamp
Researcher
Project: A MACHINE LEARNING BASED ANALYSIS OF SLEEP PATTERNS IN AGING USING PHYSIOLOGICAL SIGNALS.
Funding: Centre for Computational Science and Mathematical Modelling - Modelling (CSM), Coventry University, United Kingdom. (Jan. 2023 - Ongoing).
Research Assistant
Project: Air Quality Prediction (Temperature Prediction) for Indoor Environments in Different Cities of Australia.
Funding: An MAAP linkage project funded by the Australian Research Council (ARC). (Mar. 2022 - Dec. 2022).
Research Assistant
Project: Channel minimisation and epileptic seizure detection using single channels using Deep Learning from continuous iEEG of ICU patients.
Funding: A voluntary collaboration of Deakin University, Monash University and Alfred Health. (Apr. 2020 - Mar. 2022) - (Paused).
Project Research Associate
Project: DESIGNING A 3-LAYER NETWORK SECURITY TECHNIQUE IN SERVERS FOR PREVENTION OF DDOS ATTACK.
Funding: Institute of Research and Technology (IRT), HSTU. (Jul. 2018 - Jun. 2019).
Project Research Associate
Project: ANALYSIS AND DESIGN OF A NON-INVASIVE WAY OF MEASURING AND MONITORING BLOOD-SODIUM CONCENTRATION LEVEL USING NEAR-INFRARED SPECTROSCOPY.
Funding: Institute of Research and Technology (IRT), HSTU. (Jul. 2018 - Jun. 2019).
ACS Associate Member
Associate Member, Australian Computer Society · Aug. 2023 - Dec. 2024
DUSA Member
Deakin University Student Association Member - Deakin University · Apr. 2020 - Dec. 2023
DSEC Member
Deakin University Software Engineering Club Member - Deakin University · Jan. 2023 - Dec. 2023
DAIS Member
Deakin AI Society Member - Deakin University · Jan. 2023 - Dec. 2023
IEEE Student Member
IEEE Student Member - IEEE · Jan. 2022 - Dec. 2023
EMBS Student Member
IEEE Engineering in Medicine and Biology Society (EMBS) Student Member - IEEE · Jan. 2022 - Dec. 2023
IEEE Young Professionals
IEEE Young Professionals - IEEE · Jan. 2022 - Dec. 2023
Advisor and Founding Member
Programmers Arena - HSTU · Sep. 2014 - Present
Advisor
CSE Club - HSTU · Sep. 2014 - Present
Keynote Speaker
Keynote Speaker, A seminar on career development and future of Mobile Application Development in Bangladesh, Organized by AFCSE, HSTU on Apr. 2015
Speaker
Speaker, A seminar on Higher Studies in Abroad - Journey to Australia and Research Experiences, Organized by CSE Club, HSTU on Sep. 2022
Portfolios
Portfolio Github repositories that are publicly available only with my significant contribution.
DIHC_Downloader |
A fully python based library to download the contents from a web directory including subdirectories and files.
DIHC_FeatureManager |
A python and Matlab based library to do feature extraction and feature engineering related task for Machine Learning.
AWS_Udacity_AIML_Scholarship_Program |
A python Machine Learning and Deep Learning repository containing all the projects completed in AWS AI/ML Scholarship (Phase 1 and 2) programs. It contains total 6 projects from 2 Udacity nanodegree.
Section Leader - Code in Place (CIP)
Teaching and training the students Python programming · Stanford Online · Apr 2023 - Apr 2024
Scientific Journal Reviewer
Scientific journal articles review · European Alliance of Medical and Biological Engineering and Science (EAMBES) · Aug 2023 - Present
Publications
All the publications (reports and articles) in journal, conference, poster, symposium, blog, etc.
Journals
Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives
DOI/Link: 10.1098/rsos.230601
Sensor-based indoor air temperature prediction using deep ensemble machine learning: An Australian urban environment case study
DOI/Link: 10.1016/j.uclim.2023.101599
A LSB Based Image Steganography Using Random Pixel and Bit Selection for High Payload
DOI/Link: 10.5815/ijmsc.2021.03.03
Enhancement of single-handed Bengali sign language recognition based on HOG features
DOI/Link: http://www.jatit.org/
Mapping Character Position Based Cryptographic algorithm with Numerical Conversions
DOI/Link: https://ijcsse.org/
Pseudo random ternary sequence and its autocorrelation property over finite field
DOI/Link: 10.5815/ijcnis.2017.09.07
Smart Campus Using IoT with Bangladesh Perspective: A Possibility and Limitation
DOI/Link: 10.22214/IJRASET.2017.8239
Study of Abstractive Text Summarization Techniques
DOI/Link: https://www.ajer.org/
Conferences
An Efficient Feature Optimization Approach with Machine Learning for Detection of Major Depressive Disorder Using EEG Signal
Optimal Feature Identification and Major Depressive Disorder Prediction through Correlation-Based Machine Learning Approach
Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms
DOI/Link: 10.1109/EMBC46164.2021.9629538
Efficient Noise Reduction and HOG Feature Extraction for Sign Language Recognition
DOI/Link: 10.1109/ICAEEE.2018.8642983
Indexed Binary Search based efficient search generator for J2ME English to English dictionary
DOI/Link: 10.1109/ICIEV.2014.6850692
Posters
Deep Learning Model for Detection of Electrographic Seizures from continuous EEG in ICU patients
Contacts
Please feel free to reach out to me.
Find my contact details below:
Address
Melbourne, Australia
