Vishwajeet Pattanaik

What I Work On

• Human-Computer Interaction
• Machine Learning
• Applied Artificial Intelligence
• Computer Vision
• Internet Of Things
• Underwater Cameras
• Collective Intelligence
• Crowdsourcing
• Social Media
• Disinformation
• Open Data
• Semantic Web
• Blockchain
• Task Assignment
• Online Communities
• Annotations
• Probability Theory
• Decision Science
• Game Theory
• Intergenerational Communication

Projects

1. LIAAV22042 [Funded by German Federal Institute of Hydrology (BfG)]: Explainable machine learning for human-assisted classification of freshwater fish biodiversity in fishways
   Development and testing of computer vision methods using explainable machine learning for the assessment of fish species and their migration behavior in ca. 400,000 3-minute videos collected at four underwater camera installations owned and operated by the German Federal Institute of Hydrology.
   

   Duration: April’ 2022 – April' 2025
   Designation: Research Staff

2. LIAAV21092 [Funded by German Federal Institute of Hydrology (BfG)]: Software development for the automatic identification of fish in underwater videos from fishways
   Developing, testing and validating a fully automated AI fish counting system of 20+ freshwater fish species using more than 23 Mio. videos with fish, fish swarms and changing environmental conditions.
   

   Duration: April’ 2021 – August' 2024
   Designation: Research Staff

3. EITSA20017 [Funded by HITSA IT Akadeemia]: Implementation of ICT-based technical solutions for the speciality-specific courses of the Waterway Safety Management study programme
   The aim of the project is to update and modernize the specialty-specific courses of the Waterway Safety Management study program by implementing ICT-based technical solutions and ICT-related knowledge and skills in order to bring the study program into compliance with the standards of the International Hydrographic Organization.
   

   Duration: April’ 2020 – July’ 2021
   Designation: Senior Research Staff

4. LEP19022 [Funded by Archimedes Foundation, Reach-U AS]: Applied research for creating a cost-effective interchangeable 3D spatial data infrastructure with survey-grade accuracy
   The current research main target is to impact the whole spatial data management process by producing the next level 3D spatial base data layer and integrating it with widely used existing spatial databases. To be able to look the process as a whole the research will include the full process of the spatial data management - from the data generation to the spatial data infrastructure platform. One of the key elements is to understand the effect of implementing AI based automated information detection in every process to reduce costs and maximize efficiency and therefore reduce the time spent on data generation process.
   

   Duration: April’ 2019 – March’ 2021
   Designation: Research Staff

Select Publications

1. Suran, S., Pattanaik, V., & Draheim, D. (2023). The Generic Collective Intelligence Framework: A Qualitative View. In SSRN Electronic Journal. Elsevier BV.
   

   https://doi.org/10.2139/ssrn.4468723

2. Suran, S., Pattanaik, V., Kurvers, R., Hallin, C. A., De Liddo, A., Krimmer, R., & Draheim, D. (2022). Building Global Societies on Collective Intelligence: Challenges and Opportunities. In Digital Government: Research and Practice (Vol. 3, Issue 4, pp. 1–6). Association for Computing Machinery (ACM).
   

   https://doi.org/10.1145/3568169

3. Soom, J., Pattanaik, V., Leier, M., & Tuhtan, J. A. (2022). Environmentally adaptive fish or no-fish classification for river video fish counters using high-performance desktop and embedded hardware. In Ecological Informatics (Vol. 72, p. 101817). Elsevier BV.
   

   https://doi.org/10.1016/j.ecoinf.2022.101817

4. Pattanaik, V. (2022). Robust Web Annotations in Support of Knowledge Co-Creation. In SSRN Electronic Journal. Elsevier BV.
   

   https://doi.org/10.2139/ssrn.4171063

5. Dwivedi, V., Pattanaik, V., Deval, V., Dixit, A., Norta, A., & Draheim, D. (2021). Legally Enforceable Smart-Contract Languages. In ACM Computing Surveys (Vol. 54, Issue 5, pp. 1–34). Association for Computing Machinery (ACM).
   

   https://doi.org/10.1145/3453475

6. Suran, S., Pattanaik, V., & Draheim, D. (2020). Frameworks for Collective Intelligence. In ACM Computing Surveys (Vol. 53, Issue 1, pp. 1–36). Association for Computing Machinery (ACM).
   

   https://doi.org/10.1145/3368986

7. Pattanaik, V., Norta, A., Felderer, M., & Draheim, D. (2018). Systematic Support for Full Knowledge Management Lifecycle by Advanced Semantic Annotation Across Information System Boundaries. In Lecture Notes in Business Information Processing (pp. 66–73). Springer International Publishing.
   

   https://doi.org/10.1007/978-3-319-92901-9_7

8. Pattanaik, V., Singh, M., Gupta, P. K., & Singh, S. K. (2016). Smart real-time traffic congestion estimation and clustering technique for urban vehicular roads. In 2016 IEEE Region 10 Conference (TENCON). TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE.
   

   https://doi.org/10.1109/tencon.2016.7848689

... for more details please visit my Google Scholar page.

Presentations

• Emerging Fields in Machine Learning and Robotics @ Institute of Innovation in Technology and Management, Guru Gobind Singh Indraprastha University, Delhi, India, 2021.
• Leveraging the Power of the Crowd to Save the Web @ the Decentralised Web Symposium, WU, Austria. 2020. [slides]
• Enabling Social Information Exchange via Dynamically Robust Annotations @ Institute for Information Business, Vienna University of Economics and Business, WU, Austria. 2019.
• Enabling Social Information Exchange via Dynamically Robust Annotations @ iiWAS, Munich, Germany, 2019. [slides] [doi]
• Framework for Peer-to-Peer Data Sharing over Web Browsers @ FDSE, Nha Trang City, Vietnam, 2019. [slides] [doi]
• Systematic Support for Full Knowledge Management Lifecycle by Advanced Semantic Annotation Across Information System Boundaries @ CAiSE, Tallinn, Estonia, 2018. [sildes] [doi]

This work by Vishwajeet Pattanaik is licensed under a Creative Commons Attribution 4.0 International License.