TOHOKU UNIVERSITY Researchers - Mohammad Samy Baladram

Details of the Researcher

Home

日本語 English

Mohammad Samy Baladram

Section

Institute for Excellence in Higher Education

Job title

Specially Appointed Associate Professor(Research)

Degree

Doctor of Information Sciences (Tohoku University)

researchmap

https://researchmap.jp/samybaladram

J-GLOBAL ID

202501002827019211

e-Rad No.

71016532

ORCID

https://orcid.org/0009-0006-6561-6297

Profile

Specially Appointed Associate Professor (Research) at the Global Learning Center, Institute for Excellence in Higher Education, Tohoku University. Originally from Bandung, West Java, Indonesia. Earned both Master's and PhD from Tohoku University's Graduate School of Information Sciences (Division of Computer and Mathematical Sciences), specializing in combinatorial design theory (spherical designs). Current research and teaching interests span machine learning, data science education, and international co-learning. Designs and delivers undergraduate mathematics courses in English for international students in the FGL (Future Global Leadership) Program. Previously served as Specially Appointed Assistant Professor at the Graduate Program in Data Science (GP-DS), GSIS, Tohoku University (2019–2025), developing graduate-level data science and machine learning courses and organizing international programs including the HeKKSaGOn & GP-DS Data Science Summer School and the annual CWRU-Tohoku Joint Symposium. Author of visual guides on machine learning published in Towards Data Science (Medium) and creator of multiple open online courses in the GP-DS AIMD e-learning series.

Research History 5

2025/02 - Present

Tohoku University　Institute for Excellence in Higher Education (IEHE) – Global Learning Center　Specially Appointed Associate Professor
2022/07 - 2025/01

Tohoku University　Unprecedented-scale Data Analytics Center (UDAC), Yamada Laboratory　Specially Appointed Assistant Professor
2019/07 - 2025/01

Tohoku University　Graduate School of Information Sciences – Graduate Program in Data Science (GP-DS)　Specially Appointed Assistant Professor
2018/10 - 2019/06

Harvard Cinderella English Course　Consultant (Part-time)
2012/07 - 2013/03

Institut Teknologi Bandung (ITB)　Department of Mathematics, Combinatorial Mathematics Research Group　Research Assistant (Part-time)

Education 3

Tohoku University　Graduate School of Information Sciences　Division of Computer and Mathematical Sciences

2015/04 - 2018/09
Tohoku University　Graduate School of Information Sciences　Division of Computer and Mathematical Sciences

2013/04 - 2015/03
Institut Teknologi Bandung (ITB)　Faculty of Mathematics and Natural Sciences (FMIPA)　Department of Mathematics

2008/08 - 2012/08

Committee Memberships 10

Graduate Program in Data Science (GP-DS), Tohoku University / HeKKSaGOn Network (University of Göttingen)　Lead Organizer – HeKKSaGOn & GP-DS International Data Science Summer School 2024

2024/04 - 2024/09
Case Western Reserve University / Tohoku University Graduate School of Information Sciences　International Organizing Committee Member – 10th Annual CWRU-Tohoku Joint Symposium on Data Science in Engineering and Life Sciences

2024/06 - 2024/08
Graduate Program in Data Science (GP-DS), Tohoku University / HeKKSaGOn Network　Organizing Committee Member (Tohoku side) – HeKKSaGOn Symposium on AI / Data Science Summer School 2023

2023/07 - 2023/09
Graduate Program in Data Science (GP-DS), Tohoku University　Local Organizer (Tohoku University side) – 9th CWRU-Tohoku Joint Symposium on Data Science in Engineering and Life Sciences

2023/06 - 2023/08
Tohoku University Admission Organization – Business Promotion Specialist Committee　Member – Gateway College Subcommittee

2026/07 - Present
Tohoku University Institute for Excellence in Higher Education – Institute of Liberal Arts and Sciences (GWC)　Member – Mathematics Curriculum Working Group (GWC)

2026/05 - Present
HeKKSaGOn Network (University of Göttingen, Tohoku University, and partners)　Member – HeKKSaGOn Data Science Group

2023/07 - Present
Tohoku University Graduate School of Information Sciences – Network for International Frontiers in Science (NIFS)　Admissions Interview Panel Member – NIFS 2025

2024/12 - 2024/12
Tohoku University Graduate School of Information Sciences – Graduate Program in Data Science (GP-DS)　Organizer – HeKKSaGOn & GP-DS International Data Science Summer School 2024

2024/09 - 2024/09
Graduate Program in Data Science (GP-DS), Tohoku University　Participant and Presenter – 8th Annual CWRU-Tohoku Joint Symposium on Data Science in Engineering and Life Sciences

2022/06 - 2022/08

Show all ︎Show first 5

Research Interests 12

Education Science
Visual Design Science
International Co-learning
Competition-based Learning
Data Visualization
Statistical Machine Learning
Combinatorial Design Theory
Spherical Designs
Data Science Education
Artificial Intelligence
Data Science
Machine Learning

Research Areas 7

Natural sciences / Basic mathematics / Discrete mathematics, coding theory
Natural sciences / Algebra / Combinatorial design theory, spherical designs
Natural sciences / Applied mathematics and statistics /
Informatics / Learning support systems /
Informatics / Mathematical informatics /
Informatics / Intelligent informatics /
Informatics / Statistical science /

Awards 1

Japanese Government (Monbukagakusho: MEXT) Scholarship

2013/04　Ministry of Education Culture Sports Science and Technology (MEXT) Japan

Papers 8

Explicit Constructions of Spherical Designs from Ball Designs and Simplex Designs

Baladram Mohammad Samy

(63)　2018/09
Publisher: Tohoku University

More details Close

Doctoral thesis. Graduate School of Information Sciences, Tohoku University. Division of Computer and Mathematical Sciences. Degree: 博士（情報科学）, No. 情博第666号. Awarded September 25, 2018. Supervisor (主査): Prof. Akihiro Munemasa. The thesis presents explicit constructions of spherical t-designs using ball designs and simplex designs as building blocks, extending Kuperberg's framework and results by Bannai and others.
Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment International-journal International-coauthorship Peer-reviewed

Kubota A.; Kodate S.; Li Y.; Lin F.; Fukuda H.; Baladram M.S.; Yamada K.D.

Interdisciplinary Information Sciences　31　(1)　1-11　2025/01

DOI： 10.4036/iis.2025.A.01 　
Relation is an Option for Processing Context Information International-journal Peer-reviewed

Yamada K.D.; Baladram M.S.; Lin F.

Frontiers in Artificial Intelligence　5　2022/10
Publisher: Frontiers
DOI： 10.3389/frai.2022.924688 　
Progress in Research on Implementing Machine Consciousness International-journal Peer-reviewed

Yamada K.D.; Baladram M.S.; Lin F.

Interdisciplinary Information Sciences　28　(1)　95-105　2022/07

DOI： 10.4036/iis.2022.R.02 　
The Elements of Multi-Variate Analysis for Data Science International-journal Peer-reviewed

Baladram M.S.; Obata N.

Interdisciplinary Information Sciences　26　(1)　41-86　2020/12

DOI： 10.4036/iis.2020.A.02 　
Introduction to Supervised Machine Learning for Data Science International-journal Peer-reviewed

Baladram M.S.; Koike A.; Yamada K.D.

Interdisciplinary Information Sciences　26　(1)　87-121　2020/12

DOI： 10.4036/iis.2020.A.03 　
On Explicit Construction of Simplex t-designs International-journal Peer-reviewed

Baladram M.S.

Interdisciplinary Information Sciences　24　(2)　181-184　2018/08

DOI： 10.4036/iis.2018.S.02 　
New spherical (2s+1)-designs from Kuperberg's set: An experimental result International-journal Peer-reviewed

Baladram M.S.; Suprijanto D.

Applied Mathematics and Computation　249　45-52　2014/12

DOI： 10.1016/j.amc.2014.10.038

Show all ︎Show first 5

Misc. 27

Random Forest, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on random forest. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
AdaBoost Classifier, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on adaboost classifier. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Gradient Boosting Regressor, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on gradient boosting regressor. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Model Calibration, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2025/01
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on model calibration. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Lasso and Elastic Net Regressions, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/12
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on lasso and elastic net regressions. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Predicted Probability, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/12
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on predicted probability. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Least Squares Regression, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on least squares regression. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them) International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on why most cross-validation visualizations are wrong (and how to fix them). Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Bias-Variance Tradeoff, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on bias-variance tradeoff. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Model Validation Techniques, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/11
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on model validation techniques. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Support Vector Classifier, Explained: A Visual Guide with Mini 2D Dataset International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on support vector classifier. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
K Nearest Neighbor Regressor, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on k nearest neighbor regressor. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Decision Tree Regressor, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on decision tree regressor. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Gaussian Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on gaussian naive bayes. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Discretization, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on discretization. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Multilayer Perceptron, Explained: A Visual Guide with Mini 2D Dataset International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on multilayer perceptron. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on oversampling and undersampling. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Data Leakage in Preprocessing, Explained: A Visual Guide with Code Examples International-journal

Baladram M.S.

Towards Data Science　2024/10
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on data leakage in preprocessing. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Encoding Categorical Data, Explained: A Visual Guide with Code Example for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/09
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on encoding categorical data. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/09
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on scaling numerical data. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Logistic Regression, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/09
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on logistic regression. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Dummy Regressor, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/09
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on dummy regressor. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Dummy Classifier, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/08
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on dummy classifier. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
K Nearest Neighbor Classifier, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/08
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on k nearest neighbor classifier. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Bernoulli Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/08
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on bernoulli naive bayes. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/08
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on missing value imputation. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.
Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners International-journal

Baladram M.S.

Towards Data Science　2024/08
Publisher: Towards Data Science / Medium

More details Close

Visual guide article on decision tree classifier. Published in Towards Data Science (Medium). All visuals author-created using Canva Pro.

Show all ︎Show first 5

Books and Other Publications 3

Calculus I / Mathematics I: Problems and Solutions

Baladram M.S.

Mathco Publishing　2011/01

ISBN: 9786029969108

More details Close

Problem-and-solution textbook for the first-semester freshman mathematics course at Institut Teknologi Bandung (ITB). Developed from TPB lecture notes. Originally published as "Kalkulus I" (2011, ISBN 9786029969108, 183 pp). Revised and reprinted annually; course and title renamed from Kalkulus to Matematika following ITB curriculum restructuring.
Calculus II / Mathematics II: Problems and Solutions

Baladram M.S.

Mathco Publishing　2011/01

More details Close

Problem-and-solution textbook for the second-semester freshman mathematics course at Institut Teknologi Bandung (ITB). Covers advanced integration, multivariable mathematics, sequences and series, matrices, and differential equations. Originally published as "Kalkulus II"; renamed to Matematika II following ITB curriculum restructuring. Revised and reprinted annually. By 2018, had reached at least the 7th printing.
Dream of Utopia: Maiden of Tear

Balladrom S. (pen name)

2008/01

ISBN: 9789792540598

More details Close

Indonesian fantasy novel. Published under pen name Sammy Balladrom. Volume 1 of the Dream of Utopia series. 565 pages. 1st edition 2008.

Presentations 9

Competition-based Learning for Data Science Education International-presentation Invited

Baladram M.S.

HeKKSaGOn Data Science Group Webinar　2024/11/29

More details Close

Invited webinar lecture on competition-based learning (Kaggle-style challenges) for data science education, presented to the HeKKSaGOn Data Science Group. Organized by Dr. Sven Bingert (GWDG). Slides shared with participants on request. Audience included data science faculty and students from HeKKSaGOn partner universities in Germany and Japan.
Data Science Education and Visual Learning (HeKKSaGOn Network Webinar) International-presentation

Baladram M.S.

HeKKSaGOn Data Science Group Webinar 2024　2024/11/29

More details Close

Invited presentation at the HeKKSaGOn Data Science Group Webinar on data science education and visual learning. Attended by FGL faculty at Tohoku University and partner university members. Presentation slides shared with participants on request (Sven Bingert, GWDG).
Talk at the 10th Annual Data Science in Engineering and Life Sciences Symposium (CWRU-Tohoku) International-presentation Invited

Baladram M.S.

10th Annual Data Science in Engineering and Life Sciences Symposium (CWRU-Tohoku Joint Symposium)　2024/08/05

More details Close

Invited oral presentation at the 10th CWRU-Tohoku Joint Symposium on Data Science in Engineering and Life Sciences. Held at Case Western Reserve University, Cleveland, OH. Tohoku delegation of ~8 people attended. Also served as International Organizing Committee member for abstract review.
Online Lecture at HeKKSaGOn Data Science Summer School / AI Symposium 2023 International-presentation Invited

Baladram M.S.

HeKKSaGOn Data Science Summer School 2023 / HeKKSaGOn Symposium on AI　2023/09/19

More details Close

Invited to give multiple lectures at the HeKKSaGOn Data Science Summer School and AI Symposium in Göttingen (Sep 2023). Unable to attend in person due to German visa denial (Indonesian passport). Delivered lecture(s) online via remote participation. Collaborated with Prof. Takigawa (Kyoto University) to cover planned sessions.
Talk at the 8th Annual Data Science in Engineering and Life Sciences Symposium (CWRU-Tohoku) International-presentation Invited

Baladram M.S.

8th Annual Data Science in Engineering and Life Sciences Symposium (CWRU-Tohoku Joint Symposium)　2022/08/08

More details Close

Invited presentation at the 8th CWRU-Tohoku Joint Symposium on Data Science in Engineering and Life Sciences. Held at Tinkham Veale University Center, Case Western Reserve University, Cleveland, OH.
Demo Lecture on GP-DS Data Science Education Content for UCSD Students (MOFA Invitational Program) International-presentation Invited

Baladram M.S.

Ministry of Foreign Affairs Japan Invitational Program for UCSD Students / GP-DS Data Science Education Session　2023/01/19

More details Close

Invited demo lecture (~15 min) for visiting students from University of California San Diego (UCSD) participating in the Ministry of Foreign Affairs Japan invitational program. Demonstrated GP-DS data science education content including the course portal, RapidMiner graphical machine learning (decision trees), and Google Colab-based ML analysis. Organized by Prof. Nakao and Prof. Hayakawa (Data-driven Science and AI Education Research Center). Content snapshot also used by Prof. Nakao for a Tohoku University presidential briefing.
Panelist: Faculty Development Event on DEI (Diversity, Equity and Inclusion) at GSIS Invited

Baladram M.S.

GSIS Faculty Development Event on DEI — Gender Equality and Diversity in Academia　2022/12/15

More details Close

Invited panelist at the GSIS Faculty Development event on DEI (13:00-14:30, online). Main lecture by Prof. Tanami Mami (Faculty of Engineering). Participated as a stakeholder sharing personal experience as a foreign researcher and Muslim living in Japan, discussing workplace gender and cultural diversity. Invited by Prof. Sugawa (GSIS, Mathematics, chair of Gender Equality WG).
Rise time of inverted triangular prism intruder in vibrating granular bed: Experiments and model International-presentation

Nuraini N.; Adriani I.K.; Baladram M.S.; Viridi S.

5th International Conference on Research and Education in Mathematics (ICREM5)　2012/05/22

More details Close

AIP Conference Proceedings vol. 1450 pp. 201-204. DOI: 10.1063/1.4724140
Brazil Nut Effect with Inverted Triangular Prism Intruder

Baladram M.S.; Yanti A.F.; Amini N.; Adriani I.K.; Nuraini N.; Viridi S.

National Symposium on Innovation in Learning and Science 2011 (SNIPS 2011)　2011/06/22

More details Close

Prosiding SNIPS 2011 pp. 417-420.

Show all Show first 5

Research Projects 1

TIA Grant Proposal FY2026 Competitive

Baladram Mohammad Samy; Ramdani

System: TIA Grant

Institution: Tohoku University

2026/03 -

More details Close

Collaborative research proposal submitted under TIA (Tohoku Initiative Award) grant scheme in collaboration with Ramdani-sensei. Research area related to data science and international academic collaboration.

Teaching Experience 50

Global Learning — Post-Disaster Reconstruction in Tohoku　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (liberal arts)
Information and Data Literacy　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Linear Algebra A　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
International Liberal Arts Special Topics — Collaborative Machine Learning Challenge　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (liberal arts)
Intercultural Communication — Intercultural Data Storytelling (Spring)　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (liberal arts)
Linear Algebra B　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Introduction to Academic Learning (IAL) / Global Seminar　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Global Learning — Post-Disaster Reconstruction in Tohoku　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (liberal arts)
Information and Data Literacy　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Intercultural Communication — Intercultural Data Storytelling (Fall)　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (liberal arts)
Linear Algebra A　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Linear Algebra B　Tohoku University – Institute for Excellence in Higher Education (IEHE), Global Learning Center Undergraduate (specialized)
Academic Writing　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training I　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Machine Learning Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Programming Exercise　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Academic Writing　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Machine Learning Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Programming Exercise　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Programming Exercise　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Fall)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Practical English in Data Science　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Spring)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Fall)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Practical English in Data Science　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Spring)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Basics　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Fall)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Science Training Camp II　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Data Engineering　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate
Big Data Skill-up Training (Spring)　Tohoku University – Graduate School of Information Sciences (GSIS) Postgraduate

Show all Show first 5

Works 5

Data Science in Chemistry

Baladram M.S.

Graduate Program in Data Science (GP-DS), Tohoku University – AIMD Online Lecture Series 2021/01 - Present

Type: Educational material

More details Close

Online course for graduate students majoring in chemistry. Covers introduction to data science, ML-based data classification, regression algorithms, and clustering methods. Published in English as part of the GP-DS AIMD open e-learning series.
Typesetting with LaTeX for Academic Documents

Baladram M.S.

Graduate Program in Data Science (GP-DS), Tohoku University – AIMD Online Lecture Series 2021/01 - Present

Type: Educational material

More details Close

Online practical guide to LaTeX typesetting for academic purposes. Covers text formatting, page design, lists, images, tables, cross-references, bibliography, mathematical formulas, and large document handling. Published in English as part of the GP-DS AIMD open e-learning series.
Introduction to Terminal and Remote Access

Baladram M.S.; Go Junyue

Graduate Program in Data Science (GP-DS), Tohoku University – AIMD Online Lecture Series 2021/01 - Present

Type: Educational material

More details Close

Online course on big data management via Python in remote workspaces. Covers terminal interfaces, remote access tools, and job scheduling systems. Co-authored with Go Junyue. Published in English as part of the GP-DS AIMD open e-learning series.
Data Management and Analysis with Python

Baladram M.S.

Graduate Program in Data Science (GP-DS), Tohoku University – AIMD Online Lecture Series 2021/01 - Present

Type: Educational material

More details Close

Online course covering data management with pandas, data visualization with matplotlib, and introduction to basic data analysis and machine learning techniques. Available in English and Japanese as part of the GP-DS AIMD open e-learning series.
Python Basics and Structures

Baladram M.S.

Graduate Program in Data Science (GP-DS), Tohoku University – AIMD Online Lecture Series 2021/01 - Present

Type: Educational material

More details Close

Online course introducing basic Python commands and syntaxes (lists, dictionaries, classes, functions) and essential libraries for big data processing. Available in English and Japanese as part of the GP-DS AIMD open e-learning series.

Social Activities 14

Sendai Dai-san High School English Presentation Support Project

Collaboration with Sendai Daisan High School　Sendai Dai-san Senior High School

2026/06 - Present

More details Close

Collaborated with Derrick Mott (GLC) and Prof. Yumiko Watanabe (GLC) to support high school students with English presentation skills as part of GLC's K-12 outreach collaboration program.
Development of Tohoku University New High School Bridging Program (Domestic)

New High School Bridging Program (Domestic)　Tohoku University Kawakita Campus

2025/11/18 - Present

More details Close

Contributed to planning and curriculum development for a new domestic high school bridging program at Tohoku University (AY 2027 onwards). Collaborating with Associate Prof. Yukako Yonezawa, Prof. Kazuko Suematsu (GLC Director), and Prof. Rumi Watanabe (GLC). Planning meetings started November 2025.
HeKKSaGOn & GP-DS International Data Science Summer School 2024 – Lecturer and Organizer

HeKKSaGOn & GP-DS International Data Science Summer School 2024　Tohoku University Sendai Campus

2024/09/09 - 2024/09/20

More details Close

Served as lecturer and main organizer for the HeKKSaGOn & GP-DS International Data Science Summer School 2024 (Sep 9–20). Program hosted master's and doctoral students from Tohoku University and University of Göttingen HeKKSaGOn partner institutions. Delivered lectures on data science and machine learning; coordinated logistics for 21 funded participants.
GLC English SNS Content Creation (Facebook and Instagram)

GLC Social Media (Facebook and Instagram)

2025/04 - Present

More details Close

Ongoing role as English content creator for the GLC Facebook and Instagram channels. Responsibilities include writing and localizing English promotional posts for GLC events, international programs, and partner university activities. Events promoted include: TU×IIT Bombay Global Immersion Programme, HeKKSaGOn Summer School, IITB MEET India Series, JIGE Global Doctoral Colloquium, SENDAI Global Lounge Meetup, TUSTEM Leader recruitment, international comedy show (グローバルなお笑いLIVE), UCL student workshop, KANSAI's Got Talent business contest, and others.
Kurihara City Field Trip Supervision – International Co-learning Course "Connecting the Local Community to the World"

Connecting the Local Community to the World (Prof. Suematsu)　Kurihara City Miyagi

2026/07/11 - 2026/07/11

More details Close

Served as assistant supervisor for approx. 70 students on a field trip to Kurihara City. Activities included traditional local cuisine (Hatto) experience at Izunuma Nosan and exchange with local community members.
TSSP (Tohoku University STEM Summer Program) Field Trip Supervision

Tohoku University STEM Summer Program (TSSP)　Hiraizumi Iwate (Chusonji Temple) / Toyota Motor East Japan Miyagi Ohira Plant

2026/07/08 - 2026/07/08

More details Close

Led TSSP international students on an educational field trip to Chusonji Temple (Hiraizumi World Heritage Site) and Toyota Motor East Japan factory. Provided cultural and industrial context to enhance students' understanding of Japan.
Wardaya International Education Expo 2026 – Jakarta School Visit

Wardaya International Education Expo 2026　Indonesia (Jakarta)

2026/07 - 2026/07

More details Close

Participated in planning and conducting school visits in Jakarta for the Wardaya International Education Expo 2026. Provided advice on school selection and promotion strategy.
TUJP Yukata Workshop – Staff Support

Tohoku University Japanese Programs (TUJP) Summer 1　Tohoku University Education and Student Support Center

2026/06/19 - 2026/06/19

More details Close

Assisted international students with Yukata (summer kimono) wearing experience as part of TUJP Summer 1 cultural program.
International Co-learning Workshop – Session on "International Co-learning in STEM Subjects"

International Co-learning Workshop　Tohoku University

2026/01 - 2026/01

More details Close

Volunteered to lead Session ④ on international co-learning in STEM subjects at the GLC International Co-learning Workshop for faculty and staff.
Tohoku University × IIT Bombay Global Immersion Programme 2025 – Coordination and Supervision

TU-IITB Global Immersion Programme 2025　Tohoku University Sendai Campus

2025/12/15 - 2025/12/19

More details Close

Organized and supervised the TU×IIT Bombay Global Immersion Programme 2025. Activities included laboratory visits, workshops, and fieldtrips (Arahama Elementary School) for visiting Indian students.
Online Promotion Seminar at SMA Kharisma Bangsa (Rescheduled)

University Information Session at SMA Kharisma Bangsa (Online)　Online (Indonesia)

2025/10/16 - 2025/10/16

More details Close

Online university information and promotion session for students of SMA Kharisma Bangsa, Indonesia. Co-conducted with Prof. Watanabe Yumiko (GLC). Originally scheduled Sep 2025 but rescheduled to Oct 16 2025 (12:15–13:45 WIB). Coordinated by Maximilian Fernaldy (TU doctoral student).
FGL Program Promotion Trip – Indonesia

FGL Program Overseas Promotion Indonesia　Indonesia (Jakarta / South Tangerang)

2025/09/11 - 2025/09/19

More details Close

Conducted university promotion activities and information sessions for prospective students at Indonesian high schools including SMA Kharisma Bangsa and SMAN 2 South Tangerang. Presented on FGL program and Tohoku University research.
University Promotion Seminar at SMA Kharisma Bangsa Indonesia

University Information Session at SMA Kharisma Bangsa　SMA Kharisma Bangsa Indonesia

2025/08/27 - 2025/08/27

More details Close

Conducted university promotion and information session for high school students at SMA Kharisma Bangsa, Indonesia.
Lab Seminar and Student Research Mentoring (Yamada Laboratory)

Lab Seminar　Tohoku University Graduate School of Information Sciences

2024/10 - 2025/01

More details Close

Organized and led weekly lab seminars to clarify research direction for graduate students (Yamada Lab). Provided individual paper feedback, LaTeX guidance, and research mentoring for master's and doctoral students including international students (Samer, Chen, Liu, Iuri).

Show all Show first 5

Academic Activities 2

TENCON 2026 Paper Review

2026/06/27 - 2026/07

Activity type: Peer review

More details Close

Assigned as peer reviewer for paper #1571314319: "Enhancing EEG-Based Schizophrenia Detection Through Frequency-Domain Feature Representation and Deep Learning Models." Submitted to TENCON 2026 (IEEE Region 10 Conference). Review confirmed June 27, 2026.
Curriculum Development Collaboration: Bridgestone×Tohoku University Data Science PBL

Tohoku University Sendai Campus

2022/03 - 2022/06

Activity type: Academic society, research group, etc.

More details Close

Contributed to the design and review of a data science project-based learning (PBL) curriculum for Bridgestone Corporation employees, developed in collaboration with Prof. Koike (Tohoku), Prof. Yamada (Tohoku), and aiforce solutions Inc. (Takahashi). Responsibilities included reviewing course slide content and suggesting improvements to ML methodology explanations (regression, neural networks). Industry-academia collaboration spanning 8 sessions.