Biography
Pursuing PhD at Baylor University in Computer Science with expertise in graph embedding, graph machine learning, sign language recognition, and AI ethics resulting in five publications and one book chapter in two years.
To learn more about research interest and experience download the RESEARCH PROFILE.
Worked as Lecturer at Leading University, Bangladesh for two years as well as as a Teaching Assistant at Baylor University for two years and at BRAC University for one and half years. Completed B.Sc. in Computer Science and Engineering from BRAC University, Bangladesh.
Machine Learning enthusiast and actively contributing to developing several tools for embedding graph information, node attribute prediction disregarding feature information, genetic discovery, etc.
Download RESUME.
- Graph Embedding
- Graph Machine Learning
- Sign Language Similarity Analysis
- Artificial Intelligence
(Expected) PhD in Computer Science, 2025
Baylor University, USA
(Expected) MSc in Computer Science, 2023
Baylor University, USA
BSc in Computer Science, 2018
BRAC University, Bangladesh
Experience
- Developed graph embedding technique for node attribute prediction by employing in graphs with topoogical information independent of node contents by expanding state-of-the-art embeddings focusing to topology and feature information.
- Analyzed multiple graph information (node contents, topological inforation, topological embedding, node properties information indicating data flow through each node) impact on node attribute prediction for homogeneous graph datasets.
- Developed an algorithm to generate k-hopped topological and feature information for graph embeddings and analyzed their influence on six embedding techniques.
- Automated gene properties (p-value) prediction from gene’s ontopological inter-relations for certain disease (Alzheimer’s) disregarding gene’s other properties.
- Automated analyzing technique for involvement of gene and genesets clustering for several diseases from GeneWeaver platform.
- Projects: Topological graph embedding, Graph information influence, k-hop, k-hop_ARGA, P-value
- Automated sign language similarity analysis with implementing a 3D multistage temporal convolutional network instead of traditional Lexicostatistics.
- Developed a mapping study of machine learning model, fairness and feasibility of these AI models, methodologies to achieve them, challanges and prospective methods.
- Analyzed effect of quantum classifiers and classical classifiers convergence on different types of seperable and datasets.
- Projects: SLSimilarity, QClassifiers
- Mentored students on Python and Java Programming Language learning.
- Instructed lab classes on programming.
- Taught courses: Artificial Intelligence (Cognitive Computing, Machine Learning, Bias and AI Ethics, and examples of AI applications), Data Structures (Arrays, singly/doubly Linked lists, Stacks, Queues, Tree traversal and graph traversal techniques, Hash tables, and BST), Discrete Mathematics (Set theory, Logic, Number theory, Proofs, Graph theory, and statistics) etc.
- Mentored students on more tha ten Python projects and android based app (mobile and desktop application) development projects.
- View Faculty Profile
- Instructed classes of around 30 students on Object-oriented programming with Java.
- Learned to handle classroom situations as well as student-instructor communication
Skills
Research
Graph machine learning
- Actively working on graph information influence analysis under supervision of Dr. Erich Baker and Dr. Mary Lauren Benton in Bioinformatics lab.
- Developing methodology for generating graph’s topological embedding disregarding node feature information.
- Predicting p-values in Alzheimer’s disease gene graphs employing topological embedding.
- Detecting gene and genesets relations for multiple disease from GeneWeaver.
- Anlyzing edge feature and k-hopped topological and feature information for node attribute prediction with graph embedding.
- Published an articles and submitted two more (pending decision).
Sign language similarity analysis
- Supervised by Dr. Pablo Rivas and collaborated with Dr. Gissella Bejarano in Baylor AI lab.
- Automated Sign Language (SL) similarity analysis with a 3D multi-stage convolutional neural network method.
- Verified method’s credibility comparing with SL similarity scores from Lexicostatistics (considering four features: Handshape, Orientation, Movement, Location) method.
- Employed annotations analysis with segmentation approach for automation.
- Published an article.
Quantum Machine Learning
- Supervised by Dr. Pablo Rivas and Dr. Javier Orduz.
- Employed quantum classifiers with quantum kernals for analyzing classification performance compared to traditional classifiers.
- Employed quantum adversarial autoencoder for identigying DDoS attacks.
- Published an article and submitted another article (pending decision).
AI Ethics
- Supervised by Dr. Pablo Rivas in Baylor AI lab.
- Proposed classification of fairness issues and generalized the methods to solve them and their challanges according to the issue classes.
- Implemented systematic mapping study approach to analyze biases and the fairness of AI, ML methods
- Developed search queries (for IEEE, ACM, SpringerLink, Google Scholar, Science Directory) and research questions.
- Published a Book Chapter, submitted an article (pending decision) and collaborated in a NSF funding proposal write-up.
Projects
Health Insurance prediction
Predicting health insurance cost using supervised learning technique.
Machine Learning en Sistemas Embebidos
A spanish course for Machine Learning by Baylor university.
Quantum Classifiers
A Comparative analysis of quantum classifiers and corresponding classical classifiers.
Bear Go
A product delivery platform utilizing existing travelers
Car Tuning
A SpringBoot application for providing online orders of car parts.
Contest Registering
A SpringBoot application for organizing contests.
Hall of Fame
Similarity analysis between two objects of the same type.
Quantum Computing
A website for the public materials of Quantum computing.
SL similarity
Determining similarity between two sign languages using ML models.
Personal Website
A website developed with Hugo that represents academic and career and basic personal details.
Wireless Notice Board
To display a msg sent from faculty member to students and vise-versa without number sharing.
Payroll Management
Showing different employee names with their individual salaries
Color Sorter
A prototype device for separating RGB colored objects.
Publications
Achievements, Awards and Scholarships
Received Graduate Travel Award (fund of $400) from Baylor University Graduate SSchool for presenting at CSCI'23 conference.
Maintained Merit Scholarship (funding equaling 75% of semester credit fees) from BRAC University throughout four years (2014 - 2018) by maintaining a CGPA above 3.70 in all semesters.
Received Education Board Scholarship twice, for excellence in Higher Secondary School Certificate Examination (H.S.C) and in Secondary School Certificate (S.S.C), from the Ministry of Education, Sylhet, Bangladesh.
Activities
Programming
- Solved 150+ problems on Leetcode and similar on HackerRank.
Task Management and Leadership
- Acted as Secretary (3rd in ranking: President, Vice president, Sacretary) of Art and Photography society, BRAC University (2016 - 2018).
- Under my leadership, we earned Championship of BERGER Robialac Alpona competition, 2016 organized by BERGER PAINT.
- I hosted Bijoyer rong Alpona competition, 2018 held by BRACU Art and Photography society.
Extra Curricular
- Love to draw and play computer games such as COD, sims, card games etc.
- Enjoy reviewing places for directing fellow visitors about the place in Google Local Guide.
- Like to read (mostly detective stories) and collect books in Online Book collection.
Contact
- tonnijuicse@gmail.com
- 1825 S 3rd St, Waco, TX 76706