Haru
Terashima

寺島 青 — Ph.D. Student (D1), Kawaguchi Lab, Nagoya University

Urban Computing  ·  Human Mobility Prediction  ·  Machine Learning

Haru Terashima

About Me

Hello, I'm Haru Terashima (寺島青), a Ph.D. student (D1) at the Graduate School of Engineering, Nagoya University, Japan. I am a member of Kawaguchi Laboratory (UCLab), supervised by Prof. Nobuo Kawaguchi and Prof. Takuro Yonezawa. I received my B.E. from Nagoya University in 2024 and my M.E. in 2026. My research interests include Urban Computing (Urban Location Modeling, Human Behavior Modeling, Human Mobility Prediction) and Machine Learning. My hobbies are playing darts, solving mysteries, running, and traveling.

Biography

Education

  • 名古屋大学大学院 工学研究科 情報・通信工学専攻 博士後期課程
    Department of Information and Communication Engineering (Ph.D. Student)
    Graduate School of Engineering, Nagoya University
    2026.04 –
  • 名古屋大学大学院 工学研究科 情報・通信工学専攻 博士前期課程 (修士工学)
    Department of Information and Communication Engineering (Master of Engineering)
    Graduate School of Engineering, Nagoya University
    2024.04 – 2026.03
  • 名古屋大学工学部 電気電子情報工学科 (学士工学)
    Department of Electrical, Electronics, and Information Engineering (Bachelor of Engineering)
    School of Engineering, Nagoya University
    2020.04 – 2024.03
  • 愛知県立明和高等学校 普通科
    Aichi Prefectual Meiwa High School
    2017.04 – 2020.03

Experience

  • ニューヨーク大学 訪問博士研究員
    Visiting Ph.D Student at New York University (RUN Lab, PI: Takahiro Yabe)
    Tandon School of Engineering / Center for Urban Science + Progress, New York University
    2026.09 – 2026.11
  • ライフスタイル革命のための超学際移動イノベーション人材養成学位プログラム (TMI卓越大学院プログラム)
    Graduate Program for Lifestyle Revolution based on Transdisciplinary Mobility Innovation (TMI WISE Program)
    Institutes of Innovation for Future Society, Nagoya University
    2024.05 – 2029.03

Research Grants / Fellowships

  • JST ACT-X「AI 共生社会を拓くサイバーインフラストラクチャ」
    研究課題名:「パーソナルロケーションセマンティクスの相互理解基盤の創出」(代表)
    2026.10 – 2029.03
  • JST BOOST「次世代AI人材育成プログラム(博士後期課程学生支援)」
    学内事業名:「TokAI BOOST 東海国立大学機構 名古屋大学 次世代AI人材育成事業」 (代表)
    2026.04 – 2029.03

Activities

  • ConferenceACM SIGSPATIAL, Riverside, CA, USA2026.11
  • ConferenceACM SIGSPATIAL, Minneapolis, MN, USA2025.11
  • ConferenceInternational Symposium on Spatial and Temporal Data (SSTD) 2025, Osaka, Japan2025.08
  • EventEDBT Summer School on AI & Data Management, Nicosia, Cyprus2025.07
  • EventSmart City Expo World Congress, Barcelona, Spain2024.11
  • ConferenceACM SIGSPATIAL, Atlanta, GA, USA2024.10
  • ConferenceACM MobiSys (ASSET), Tokyo, Japan2024.06
  • ConferenceACM SIGSPATIAL, Hamburg, Germany2023.11

Services

  • ReviewerUbiComp/ISWC 2026 International Workshop on Reality Mediation
  • ReviewerACM SIGSPATIAL 2026 Research Track

Highlights

2025 HuMob Challenge Award
ACM SIGSPATIAL GISCUP 2025
3rd prize  @ACM SIGSPATIAL
2024 HuMob Challenge Award
HuMob Challenge 2024
1st prize  @ACM SIGSPATIAL
2023 HuMob Challenge Award
HuMob Challenge 2023
1st prize  @ACM SIGSPATIAL
TMI WISE Program
TMI WISE Program
QE1 Outstanding Performance Award

Publications

Journal

J4

Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns

Naoki Tamura, Nodira Tillayeva, Haru Terashima, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

ACM Transactions on Spatial Algorithms and Systems, Vol.12, No.3, PP.1-40, 2026

DOI:10.1145/3804448

J3

CLIFT: Cross-City Mobility-Derived Lifestyle Pattern Transfer for Improved Multi-City Next Location Prediction

Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Tahera Hossain, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

ACM Transactions on Spatial Algorithms and Systems, Vol.12, No.2, PP.1-24, 2026

DOI:10.1145/3811037

J2

NSP-BERT:滞在履歴の長期的依存関係を考慮した効率的な滞在予測手法

寺島青, 田村直樹, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

情報処理学会論文誌 若手研究者, Vol.67, No.3, 2026

DOI:10.1109/ACCESS.2025.3591811

J1

Life Pattern-Based Human Attribute Estimation Using Only GPS Data

Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

IEEE Access, Vol.13, PP.131803-131822, 2025

DOI:10.1109/ACCESS.2025.3591811

International Conference

C12

LEMU: Personalized Urban Location Modeling through Mobility-Derived Temporal and Semantic Contexts

Haru Terashima, Kota Tsubouchi, Shuji Yamaguchi, Naoki Tamura, Kazuyuki Shoji, Nobuo Kawaguchi, Takuro Yonezawa

34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Core A), 2026

DOI:Accepted

C11

LocationBind: Coordinate-Pivot Alignment of Heterogeneous Urban Modalities in a Unified Latent Space

Naoki Tamura, Haru Terashima, Kazuyuki Shoji, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Core A), 2026

DOI:Accepted

C10

Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns: Highlights

Naoki Tamura, Nodira Tillayeva, Haru Terashima, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems TSAS Highlights, 2026

DOI:Accepted

C9

Cross-City Mobility-Derived Lifestyle Pattern Transfer for Improved Multi-City Next Location Prediction: Highlights

Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Tahera Hossain, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

34th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems TSAS Highlights, 2026

DOI:Accepted

C8

Constructing Vertically-Resolved Location Embeddings from Altitude-aware Human Mobility Data"

Rio Ishii, Haru Terashima, Aoi Sassa,Naoki Tamura, Kazuyuki Shoji, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) Poster, 2026

DOI:Accepted

C7

Towards Circular Accumulation of Latent Local Knowledge via Automated Interview System: A Preliminary Study

Aoi Sassa, Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Kenta Urano, Takuro Yonezawa, Tadashi Yoshikawa, Nobuo Kawaguchi

IEEE International Conference on Computers, Software, and Applications (COMPSAC) Student Research Symposium, 2026

DOI:Accepted

C6

Multi-City Next Location Prediction through Mobility-Derived Multi-Pattern Transfer Learning

Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems GISCUP, PP.1218-1221, 2025

DOI:10.1145/3748636.3771311  ·  3rd Prize Winner

C5

Discovering Emerging Urban Hotspots Using Satellite Imagery and Human Mobility Data

Nodira Tillayeva, Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Tahera Hossain, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

27th International Conference on Human-Computer Interaction, PP.110-120, 2025

DOI:10.1007/978-3-031-92980-9_7

C4

Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns

Naoki Tamura, Haru Terashima, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Core A), PP.577-580, 2024

DOI:10.1145/3678717.3691279

C3

Unveiling Human Attributes through Life Pattern Clustering using GPS Data Only

Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Core A), PP.621-624, 2024

DOI:10.1145/3678717.3691309

C2

Time-series Stay Frequency for Multi-City Next Location Prediction using Multiple BERTs

Haru Terashima, Shun Takagi, Naoki Tamura, Kazuyuki Shoji, Tahera Hossain, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

2nd HuMob Challenge Workshop at ACM SIGSPATIAL, PP.5-9, 2024

DOI:10.1145/3681771.3699909  ·  1st Prize Winner

C1

Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT

Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

1st HuMob Challenge Workshop at ACM SIGSPATIAL, PP.1-6, 2023

DOI:10.1145/3615894.3628498  ·  1st Prize Winner

Domestic Conference

D9

LocationBind:地理空間座標を媒介とした異種都市モダリティデータの共通潜在表現学習

田村直樹, 寺島青, 庄子和之, 浦野健太, 米澤拓郎, 河口信夫

マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム, 2026

D8

住民属性と認知的対立理論を用いた生成AIインタビューによる潜在的な地域情報の収集

佐々葵, 寺島青, 田村直樹, 庄子和之, 浦野健太, 米澤拓郎, 吉川正, 河口信夫

マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム, 2026

D7

大規模人流データに基づくユーザ固有の移動文脈を考慮した都市空間モデリング

寺島青, 坪内孝太, 山口修司, 田村直樹, 庄子和之, 河口信夫, 米澤拓郎

第119回 IPSJ SIG-MBL研究会, 2026  ·  奨励発表賞

D6

モビリティとモティリティの視点からみた社会的孤立・孤独の発生メカニズム—地域住民調査データに基づく一次予防への示唆—

石﨑冴香, 寺島青, Tahera Hossain, 細田満和子, 河口信夫, 高橋愛海,杉本なおみ, 米澤拓郎

第119回 IPSJ SIG-MBL研究会, 2026

D5

共通潜在空間を介した多様な都市エリアデータのクロスモーダル変換手法

田村直樹, 寺島青, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第84回 IPSJ SIG-UBI研究会, 2024

D4

時系列滞在頻度傾向と移動傾向を組み合わせた移動先予測手法

寺島青, 髙木峻, 田村直樹, 庄子和之, Tahera Hossain, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第84回 IPSJ SIG-UBI研究会, 2024  ·  優秀論文賞

D3

DiverCityMeter: 大規模移動データによる生活パターン分析を通じた都市空間の多様性算出手法

庄子和之, 寺島青, 田村直樹, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第112回 IPSJ SIG-MBL研究会, 2024  ·  優秀論文賞

D2

NSP-BERT: 滞在時間を考慮に入れた効率的なNext Stay予測手法

寺島青, 田村直樹, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

マルチメディア、分散、協調とモバイル(DICOMO)シンポジウム, 2024  ·  優秀プレゼンテーション賞

D1

BERTに基づく都市における移動エリア予測手法の提案

寺島青, 田村直樹, 庄子和之, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

第111回 IPSJ SIG-MBL研究会, 2024  ·  奨励発表賞

Awards

Research

  • 1st Place Winner, REACT EO4SDG Competition, 2026.9
  • 奨励発表賞, 第119回 IPSJ SIG-MBL研究会, 2026.5
  • 優秀賞, 名古屋大学TMI卓越大学院プログラムQE1, 2026.3
  • 優秀賞, 名古屋大学工学研究科電気系修士中間発表, 2025.2
  • 優秀論文賞, 第84回 IPSJ SIG-UBI研究会, 2024.11
  • 優秀論文賞, 第112回 IPSJ SIG-MBL研究会, 2024.9
  • 優秀プレゼンテーション賞, DICOMOシンポジウム, 2024.6
  • 奨励発表賞, 第111回 IPSJ SIG-MBL研究会, 2024.5

Competition

  • 3rd Place Winner, ACM SIGSPATIAL GISCUP 2025 (Human Mobility Prediction Challenge 2025), 2025.11
  • 1st Place Winner, Human Mobility Prediction Challenge 2024, 2024.10
  • 1st Place Winner, Human Mobility Prediction Challenge 2023, 2023.11
  • 第3位, Japan Automotive AI Challenge 2023 Integration, 2023.11
  • 第2位, Japan Automotive AI Challenge 2023 For Rookie, 2023.8