Dilip K. Prasad
 | The topic of this article may not meet Wikipedia's general notability guideline. (January 2025) |
Prof. Dilip K. Prasad | |
|---|---|
 | |
| Nationality | Indian |
| Alma mater | |
| Scientific career | |
| Fields | Artificial Intelligence |
| Institutions | |
Dilip K. Prasad (born 1977) is an Indian academic and computer scientist who serves as a Professor in the Department of Computer Science at UiT the Arctic University of Norway, Tromsø. He is known for his contribution in the fields of artificial intelligence.[1][2][3]
Prasad authored a book titled ‘’Gender & Diversity Policy in AI: Strategies, Metrics, and Case Studies, pioneering insights into creating inclusive and unbiased AI systems’’.[4]
Education
[edit]Prasad earned a Bachelor of Technology from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He completed his PhD in Computer Engineering from Nanyang Technological University (NTU), Singapore, in 2013.[5]
Research
[edit]Prasad's research focusses on artificial intelligence, aiming to improve current paradigms of AI to make architectures more flexible, understandable, and scalable. He specializes in applied AI topics, notably AI for microscopy and nanoscopy, generative AI, and sustainable AI.[6]
His recent research focuses on sustainable AI practices. Including developing energy-efficient AI models and benchmarks to evaluate AI's computational efficiency and environmental footprint.[2]
He has also applied AI to microscopy and nanoscopy, aiming to transform the instruments. In maritime computer vision, Prasad has contributed to foundational research to address the challenges associated with vision-based maritime navigation and situational awareness.[7]
Notable publications
[edit]- A. A. Sekh and D. K. Prasad. “Gender & Diversity Policy in AI”, World Scientific, 2025.[8]
- A. Somani, A. Horsch, D.K. Prasad. "Interpretability in Deep Learning." Springer, pages 483, 2023.[9]
- A.A. Sekh, I-S. Opstad, G Godtliebsen, A.B. Birgisdottir, B.S. Ahluwalia, K. Agarwal, and D.K. Prasad, “Physics based machine learning for sub-cellular segmentation in living cells,” Nature Machine Intelligence, vol. 3, 1071–1080, 2021.[10]
- D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabally, and C. Quek, "Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey," IEEE Transactions on Intelligent Transportation Systems, vol. 18, issue 8, pp. 1993-2016, 2017.[11]
Awards and recognition
[edit]- He received the Rolls-Royce Inventor Award in 2016.[12]
- In 2011, he was selected for the prestigious Kauffman Global Fellowship.[12]
- Listed among the Top 2% Scientists of the World by Stanford University from 2021 to 2023.[13]
- In 2024, he was honored as "The Distinguished Researcher of the Year in Robotics & Artificial Intelligence" by the Asian African Economic Forum and the Confederation of International Accreditation Commission (CIAC).[14]
- Recognized as "Most Admired Global Indian 2024" by Passion Vista Magazine.[15]
- He was named "Top Business Leaders from Asia 2024" by Global Leaders Today Magazine.[16]
- He was recognized as one of the "Top 10 Best Global Business Leaders of 2024" by The Business Frontier.
- In 2023, CEO Insights Magazine recognized him as one of the "Top 10 NTU Singapore Alumni Leaders."[1]
References
[edit]- ^ a b "Dilip Prasad: Steering Ai Innovation To Exert Transformative Impact On Society". ceoinsightsindia.com. Retrieved 4 January 2025.
- ^ a b "Dilip K. Prasad: Weaving Innovation into the Fabric of a Better Tomorrow". conglomeratemagazine.com. Retrieved 4 January 2025.
- ^ "Interpretability in Deep Learning Somani, Ayush". Reuffel.de | Online-Shop | Bücher, Musik, Medien (in German). Retrieved 2025-01-04.
- ^ "Gender and Diversity Policy in AI". www.worldscientific.com. doi:10.1142/14159?srsltid=afmbooq4rg0bpyv39di6-tmshmkhirtzrkpndkbo4uepbzckwjvhhzie#t=aboutbook. Retrieved 2025-01-04.
- ^ "Dilip K. Prasad". frontiersin.org. Retrieved 4 January 2025.
- ^ Starzyk, Janusz A.; Prasad, Dilip K. (2011). "A Computational Model of Machine Consciousness". International Journal of Machine Consciousness. 3 (02): 255–281. doi:10.1142/s1793843011000819.
- ^ Bamba, Udbhav; Anand, Neeraj; Aggarwal, Saksham; Prasad, Dilip K.; Gupta, Deepak K. (2023-11-08), Partial Binarization of Neural Networks for Budget-Aware Efficient Learning, doi:10.48550/arXiv.2211.06739, retrieved 2025-01-04
- ^ "Gender and Diversity Policy in AI". www.worldscientific.com. doi:10.1142/14159?srsltid=afmbooqdldtevknq8wfyb_4htdzeybvaiwyeubmjiab4pntojwwxlnhy#t=aboutbook. Retrieved 2025-01-04.
- ^ Somani, Ayush; Horsch, Alexander; Prasad, Dilip K. (2023). "Interpretability in Deep Learning". SpringerLink. doi:10.1007/978-3-031-20639-9.
- ^ Sekh, Arif Ahmed; Opstad, Ida S.; Godtliebsen, Gustav; Birgisdottir, Åsa Birna; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K. "Physics-based machine learning for subcellular segmentation in living cells". Nature Machine Intelligence. 3 (12): 1071–1080. doi:10.1038/s42256-021-00420-0. ISSN 2522-5839.
- ^ "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey". ieeexplore.ieee.org. Archived from the original on 2024-04-23. Retrieved 2025-01-04.
- ^ a b "[CLIMB] Artificial intelligence at nanoscale for life sciences: Dilip Prasad – iOptics at Illinois". Retrieved 2025-01-04.
- ^ "World Top 2 Percent scientists List 2023 Stanford University PDF-" (PDF). rkmvc.ac. Retrieved 4 January 2025.
- ^ Gomes, Sherlyn (2024-06-03). "The AI Polymath: Dilip Prasad's Quest to Humanize Artificial Intelligence". Global Leaders Today. Retrieved 2025-01-04.
- ^ "Dilip Prasad - Passion Vista Magazine". 2024-09-15. Retrieved 2025-01-04.
- ^ Gomes, Sherlyn (2024-06-03). "The AI Polymath: Dilip Prasad's Quest to Humanize Artificial Intelligence". Global Leaders Today. Retrieved 2025-01-04.