I am an Assistant Professor working with the School of Computer Science and Technology at Shandong University. I received my Ph.D. degree from the Computer Science Department at Stony Brook University, SUNY, where I worked in the Data Management and Biomedical Data Analytics Lab(BMIDB) under the supervision of Professor Fusheng Wang. I received my M.S. in Computer Science from Emory University and my B.E. in Software Engineering from Xi’an Jiaotong University. A full version of my CV can be found here.

My research interests lie in Big Data, Spatial Data Management Systems, Spatial Approximate Query Processing, and Geographic Information Systems (GIS). I am looking for self-motivated Master’s students. If you are interested in playing with big spatial data at a billion, even trillion scales, please drop me an email with your resume attached.

Education

• Ph.D. in Computer Science, The State University of New York (SUNY) at Stony Brook, 2021
• M.S. in Computer Science, Emory University, 2014
• B.E. in Software Engineering, Xi’an Jiaotong University, 2012

Research Projects

• 3DPro: Querying Complex 3D Data with Progressive Compression and Refinement
• GLINT: GPU-based Real-time Contact Tracing at Scale
• IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons
• LSbM-tree: Re-enabling Buffer Caching in Data Management for Mixed Reads and Writes
• BMIDB: Scalable Data Management for Big Medical Imaging Data
• PAIS: Large Scale Spatial Data Management for Pathology Imaging

Selected Publications

• [Geoinformatica23] Dejun Teng, Furqan Baig, Zhaohui Peng, Jun Kong, and Fusheng Wang. Efficient spatial queries over complex polygons with hybrid representations. Springer Geoinformatica. Volume 27, Issue 4: 1-39. (CCF B)
• [EDBT22] Dejun Teng, Furqan Baig, Vo Hoang, Yanhui Liang, Jun Kong and Fusheng Wang. 3DPro: Querying Complex Three-Dimensional Data with Progressive Compression and Refinement. 25th International Conference on Extending Database Technology (EDBT 2022). pp. 104-117, March 29-April 1, 2022. Edinburgh, UK. (CCF B)
• [TSAS22] Dejun Teng, Yanhui Liang, Hoang Vo, Jun Kong, and Fusheng Wang. Efficient 3D Spatial Queries for Complex Objects. ACM Transactions on Spatial Algorithms and Systems (TSAS) 8, no. 2 (2022): 1-26.
• [JPHS22] Kayley Abell-Hart, Sina Rashidianb, Dejun Teng, Richard N Rosenthal, and Fusheng Wang. Where Opioid Overdose Patients Live Far From Treatment: Geospatial Analysis of Underserved Populations in New York State. In JMIR Public Health and Surveillance (JPHS), JMIR, 2022, (IF 3.5)
• [SIGSPATIAL21] Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong, and Fusheng Wang. GPU-based Real-time Contact Tracing at Scale. 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2021), ACM, pp. 1–10, (24% acceptance rate)
• [MDM21] Dejun Teng, Furqan Baig, Qiheng Sun, Jun Kong, and Fusheng Wang. IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons. IEEE 22nd International Conference on Mobile Data Management (MDM 2021). IEEE, pp. 99–108, (CCF C, 26% acceptance rate)
• [LI20] Roy Mousumi, Fusheng Wang, Hoang Vo, Dejun Teng, George Teodoro, Alton B. Farris, Eduardo Castillo-Lion, Miriam B. Vos, and Jun Kong. Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies. Laboratory Investigation (2020), Nature Publishing Group: 1-17, (IF 5.8)
• [FBD20] Baig Furqan, Chao Gao, Dejun Teng, Jun Kong, and Fusheng Wang. Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform with CUDA and OpenACC. Frontiers Big Data 3 (2020): 14.
• [DAPD19A] Dejun Teng, Jun Kong, and Fusheng Wang. Scalable and Flexible Management of Medical Image Big Data. Distributed and Parallel Databases 37, no. 2 (2019): 235-250, (CCF C)
• [DAPD19B] Vo Hoang, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro, and Fusheng Wang. MaReIA: a cloud MapReduce based high performance whole slide image analysis framework. Distributed and Parallel Databases 37, no. 2 (2019): 251-272. (CCF C)
• [TOS18] Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Yanfeng Zhang, Siyuan Ma, and Xiaodong Zhang. A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads. ACM Transactions on Storage (TOS) 14, no. 2 (2018): 1-26, (CCF A)
• [ICDCS17] Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Siyuan Ma, Yanfeng Zhang, and Xiaodong Zhang. LSbM-tree: Re-enabling buffer caching in data management for mixed reads and writes. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 68-79. IEEE, 2017, (CCF B, 18.5% acceptance rate)

Work Experience

• 2022.04-present: Assistant Professor at Shandong University, Qingdao, China
• 2021.12-2022.04: Algorithm Engineer at Alibaba Inc., Beijing, China
• 2018.06-2019.07: Algorithm Engineer at Huawei Technologies Co., Ltd., Shenzhen, Guangdong, China
• 2015.05-2015.08: Software Engineer at Alibaba Inc., Seattle, WA, USA
• 2014.05-2014.08: Software Engineer at Pitney Bowes Inc., Shelton, CT, USA

Teaching

• SDU 01332230: Database Systems, Lecturer, Fall 2023
• SDU 0470043: Big Data Management and Analysis, Lecturer, Spring 2023, Spring 2024
• SDU 013317502: Advanced Programming Language, Lecturer, Spring 2023
• SDU 01231460: Data Structure and Database Technology, Lecturer, Fall 2022, Fall 2023
• SBU CSE 532: Theory of Database Systems, Teaching Assistant, Spring 2020
• SBU CSE 537: Artificial Intelligence, Teaching Assistant, Fall 2019
• OSU CSE 2111: Modeling and Problem Solving with Spreadsheets and Databases, Teaching Assistant, Fall 2015, Fall 2017
• OSU CSE 5339: Intermediate Studies in Parallel Computing, Teaching Assistant, Spring 2015

Academic Services

• PC chair
  • VLDB DMAH 2022
• PC member
  • SIGSPATIAL 2022,2023
  • VLDB DMAH 2021
  • APWEB/WAIM 2022,2023
• External-reviewer
  • ACM SIGSPATIAL 2019, 2020, 2021
  • ACM SIGMOD 2021, 2022, 2023, 2024
  • IEEE Big Data 2019
• Manuscript reviewer
  • ACM Transactions on Database Systems (TODS)
  • ACM Transactions on Spatial Algorithms and Systems (TSAS)
  • Springer Distributed and Parallel Databases (DAPD)
  • Geo-spatial Information Science

Invited Talks

• 2022.09, Spatial Data Management for Medicine and Healthcare, VLDB DMAH workshop keynote
• 2022.06, Spatial Big Data Management and Beyond, Shandong University IRC
• 2021.11, The data privacy concerns in big spatial data processing, Zhejiang University
• 2021.10, Efficient Large-Scale Multi-Dimensional Spatial Data Processing, Beihang University