π Master's Graduate @ The University of Aizu | π Data Scientist & AI Researcher
π Japan | π Open to industry collaborations
I'm a Data Scientist & AI Researcher with expertise in spatiotemporal data analysis, intelligent pattern discovery, and fuzzy systems. Recently graduated with my Master's from The University of Aizu, Japan, my research spans:
- π V2V communication in autonomous vehicles using fuzzy logic
- π Pattern mining (partial periodic, fuzzy, spatially interesting patterns)
- π°οΈ Geospatial analytics & raster image processing
- π«οΈ PM2.5 pollution trends & environmental data mining
π 4 Journal Papers (IEEE Access, IEEE Transactions on Fuzzy Systems, Nature)
π€ 3 Conference Papers (IEEE Space, IEEE FUZZ, ICONIP)
π©βπ» IEEE Member | Open Source Contributor (PAMI, geoAnalytics)
Multi-scenario vehicular communication system with fuzzy logic-based cluster head selection
- Tech: SUMO, NS-3, Named Data Networking (NDN), Python
- Published at: IEEE FUZZ 2025
Discovering spatially interesting patterns in large-scale geo-referenced databases
- Tech: Python, PAMI, PostgreSQL, Distributed Computing
- Published at: IEEE Access 2024, IEEE TFS 2025
Designed and integrated image fusion plugins for advanced geospatial data processing
- Tech: Python, GDAL, QGIS
- Published at: IEEE Space 2025
Classified ultrasound brain images as normal/abnormal using multiple supervised ML algorithms
- Tech: Python, Scikit-learn, Pandas
- Award: Best Thesis Award at university research summit
Pattern discovery dataset for particulate matter pollution trends in Japan
- Published at: Nature 2025
[J1] Vanitha Kattumuri, Rage Uday Kiran, Shota Suzuki. - Discovering Spatially Interesting Patterns in Big Geo-Referenced Sequential Databases. IEEE Access, 2024.
[J2] Venna Pamalla, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu. - A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases. IEEE Access, 2025.
[J3] Venna Pamalla, Vanitha Kattumuri, Yutaka Watanobe, Deepika Saxena. - Efficient Discovery of Fuzzy Partial Periodic Frequent Patterns within Quantitative Temporal Databases. IEEE Transactions on Fuzzy Systems, 2025.
[J4] Rage Uday Kiran, Vanitha Kattumuri, Arjun Chakravarthi Pogaku. - Patterns Discovery Dataset for Particulate Matter (PM2.5) Pollution Trends in Japan. Nature, 2025.
[C1] Vanitha Kattumuri, Rage Uday Kiran, Marrimanu Charan Teja, Yoshiko Ogawa, Ohatake Makiko. - geoAnalytics: An Open Source Python Library for Geospatial Data Analytics. IEEE Space, 2025.
[C2] Vanitha Kattumuri, Rage Uday Kiran, Deepanshu Garg, Rasmeet S Bali, Anu Koushik, Venna Pamalla. - Intelligent Cluster Head Selection Using Novel Fuzzy Logic for Autonomous Vehicular Networks. IEEE FUZZ, 2025.
[C3] Venna Pamalla, Vanitha Kattumuri, Yutaka Watanobe, Deepika Saxena. - Fuzzy Partial Periodic Frequent Pattern Mining in Quantitative Temporal Databases. ICONIP, 2024.
Research & Teaching Assistant @ The University of Aizu (Oct 2023 β Sep 2025)
- Researched V2V communication, pattern mining algorithms, and geospatial analytics
- Published 7 peer-reviewed papers in top-tier journals and conferences
- Supervised undergraduate lab sessions in Python, C++, Data Structures, and Algorithms
- Conducted workshops on computer science fundamentals
Web Development Intern @ Techno Soft Training Centre, India
- Developed functional website using HTML, CSS, and JavaScript
- Gained foundational experience in database management and web app development
- π₯ Best Thesis Award β Saveetha Transdisciplinary Annual Research Summit, 2023
- π Student Topper Award β Recognized for academic excellence, Saveetha Engineering College (2021-2023)
- π©βπ» IEEE Member β Institute of Electrical and Electronics Engineers
- π―π΅ JASSO Scholar β Japanese Government Scholarship
- Advanced distributed computing for large-scale pattern mining
- Production-level ML systems & MLOps
- Japanese (N5 β N4 π―π΅)
- Pattern mining (PAMI library & extensions)
- Geospatial data analytics & raster mining
- Fuzzy logic applications in transportation
- Open-source research projects
- Pattern mining algorithms (partial periodic, fuzzy, spatially interesting)
- Spatiotemporal data analytics & geospatial processing
- V2V communication & fuzzy clustering
- Research writing & IEEE publication process
- Contributing to open-source ML libraries
- π©βπ» IEEE Member β Professional Membership
- π― Technical Volunteer & Question-Panel Member β ETLTC International Conference Series
- π Contributor β 2025 Fukushima Worldwide Learning High School International Summit
- π§βπ» Volunteer β SAISUA Events, The University of Aizu
βFrom fuzzy logic to fuzzy boundaries β research is about discovering patterns where none seem to exist.β

