Graduate Teaching Assistant
Fall 2025 – Spring 2026University of Massachusetts Lowell
Currently TA for Operating Systems I (COMP.5150) in Fall 2025.
Hi, I'm Shifat Haidar Al Amin.
A
"Two roads diverged in the woods; I took the one less traveled by and that made all the difference." - Robert Frost.
ABOUT
I am Shifat Haider Al-Amin (Shifu), a 3rd year PhD student at
Computer & Information Science Department
at UMass Lowell.
I am working under the supervision of
Prof. Ruizhe Ma.
My research focuses on Applied Machine Learning, Time Series Data, Multivariate Time Series, Computer Vision,
and Data Science.
I leverage statistical analysis and machine learning models to gain deeper insights into health sensor data
and related applications.
Before joining UMass Lowell, I completed my M.S. in
Mathematics (Computational)
at
Bangladesh University of Engineering and Technology (BUET).
My thesis, titled “Enumeration, Classification, and Counting of Spanning Trees in Plane 3-Trees”, was
completed under the supervision of
Prof. Dr. Abdul Hakim
Khan
and Prof. Dr. Saidur Rahman. This work was a joint research
collaboration
between the Department of Mathematics and the Department of Computer Science at BUET, focusing on Graph Theory
and Algorithms,
supported by
Graph Drawing and Information Visualization Laboratory
.
Prior to joining BUET, I accomplished my Baccalaureate Degree in Mathematics from
University of Dhaka.
Beyond academia, I am actively involved in community and volunteer organizations,
including Jaago Foundation,
Volunteer for Bangladesh,
Save the Children in Bangladesh,
and Cumilla Cyclists.
RECENT NEWS
- August 2025: Hosted and Led KRISP's Grad Launch Program
- August 2025: Finished Summer Project 2025.
- May 2025: Completion of PhD Qualifying Requirement [LETTER]
- April 2025: Finished Computer Vision Project
RESEARCH
My research focuses on multivariate time-series modeling, imputation, and machine learning to improve insights from health and sensor data. I apply statistical analysis, signal processing, and AI-driven models to build robust pipelines, recover missing values, and develop reliable predictors for risk, early warnings, and anomaly detection. I also integrate multiple data types—such as wearable streams and images—and use large language models for data cleaning, weak labeling, and interpretability. Beyond this, I enjoy exploring broader ML topics and turning ideas into practical tools and systems that address real-world challenges and create meaningful impact.
Research Interests:
- Machine Learning
- Computer Vision
- Multivariate Time-Series Modeling
- Time Series Analysis
- LLM
- Data Science
PUBLICATIONS
-
Comprehensive Approaches for Multivariate Time-Series Data Analysis and Imputation
Multivariate time-series analysis has increasingly become a critical tool for accurately modeling the complex interactions and dependencies inherent in dynamic real-world systems...
EDUCATION
University of Massachusetts Lowell
Lowell, Massachusetts, USA
Degree: Ph.D. in Miner School of Computer & Information Sciences (Ongoing)
Relevant Courseworks:
- Machine Learning
- Computer Vision I
- Human Computer Interaction
- Evaluation of HCI
- Graph Machine Learning
- Internet & Web System I
Bangladesh University of Engineering & Technology (BUET)
Dhaka, Bangladesh
Degree: M.S. in Mathematics (Computational)
Relevant Courseworks:
- Rings & Modules
- Logistic Management
- Partial Differential Equations (PDEs)
- Special Function & Analysis
- Advanced Numerical Analysis
- Integer Programming
TEACHING
Graduate Teaching Assistant
Fall 2024 – Spring 2025University of Massachusetts Lowell
Courses: Algorithms (COMP.5030) in Fall 2024; ML/DL Security (COMP.4600) and Database II (COMP.3100) in Spring 2025.
Graduate Teaching Assistant
Fall 2023 – Spring 2024University of Massachusetts Lowell
Courses: Computation Lab I (1030) and Computation Lab II (1040).
Teaching Assistant
Apr 2019 – Dec 2019Bangladesh University of Engineering & Technology (BUET)
Courses: Linear Algebra, Partial Differential Equations, Numerical Analysis, Multivariate Calculus, Intro
to Statistics & Probability.
Assisted with lecture notes and grading.
EXPERIENCE
Graduate Research Assistant
June 2025 – August 2025UMass Lowell — Miner School of Computer & Information Sciences
Multivariate time-series:
- Multivariate time-series modeling and imputation for health sensor data (e.g., heart rate, activity, sleep).
- Reproducible ML pipelines with rigorous evaluation to ensure real-world reliability.
Graduate Research Assistant
April 2021 – August 2022Graph Drawing and Information Visualization Laboratory
I worked as a Graduate Researcher under the co-supervision of Prof. Dr. Saidur Rahman, focusing on graph theory & network analysis. My work addressed the counting and classification of spanning trees in plane 3-trees. Besides the classical Kirchhoff’s matrix algorithm (computationally expensive), I implemented LU factorization, yielding the same results with lower cost.
- Proposed a verified matrix-based conjecture that reduces the computational cost of the counting procedure.
- Developed two new classifications—inductive & non-inductive—and corresponding recurrence relations.
MEDIA & RECOGNITION
Member — KRISP (Kennedy College of Science Research, Innovation, & Strategic Planning)
Category: Education
KRISP started in 2024 by including faculty members and PhD students from each department under KCS. The committee brings together representatives from all KCS communities to design and run programs that boost engagement in research, innovation, and strategic planning. Its objective is to strengthen the college’s research culture and increase the productivity of students, faculty, and staff, advancing the sciences across KCS. The motivation is a coordinated, cross-community effort that unifies resources, fosters collaboration, and elevates participation so the entire KCS ecosystem can produce greater, more impactful research.
Volunteer — Save the Children in Bangladesh
Category: Education
Project “Bridging the Gap” is a global initiative in 80+ countries that amplifies the untold stories of urban and rural children. I served as a Core Volunteer on the Bangladesh chapter for the Every Last Child campaign. From a national pool, 23 of us were assigned to Baniachong—an area submerged in water for nearly seven months each year. In the first phase, 50 volunteers (selected from 1,000+ applicants) completed orientation and split into two field teams: one to the Rayerbazar urban slum in Dhaka, and another to the remote village of Badalpur (Baniachong). Through community dialogues, we documented barriers to schooling and healthcare and focused on maternal health, newborn safety, education access, and sanitation awareness.
Record Participant — Guinness World Records
Civil Rights & Social Action
BDCyclists received an official Guinness World Records certificate for organizing the world’s longest single line of moving bicycles. I was an officially recognized participant (No. 164). The record-setting attempt, held on Victory Day, involved ~1,200 cyclists riding a 30-minute loop starting near ICCB, crossing Boalia Bridge over the Turag River, and returning to the start—promoting healthy living and cycling to reduce congestion and pollution.
Public Relation Officer — Volunteer for Bangladesh
Civil Rights & Social Action
Uprooted from Core Volunteer to Public Relations Officer (Elected) at Volunteer for Bangladesh; led media outreach and hosted 100+ projects on public awareness, education, and child-marriage prevention—including ELSP (Eco-Leadership School Project) funded by the Korean government, plus Project SOS (School of Survivors), Great Kindness Challenge, Amar Khatay Bornomala, Universal Children’s Day, Green Roof, and Shopnongathi. Recognized as Volunteer of the Month for sustained community impact.
CONTACT
Hi there! Thank you so much for your interest in my work. Please fill the contact form below and I will get back to you as soon as possible.