Dilip K. Prasad is a professor at Department of Computer Science, UiT The Arctic University of Norway.  He received the Ph.D and B.Tech degree in Computer Science and Engineering from Nanyang Technological University, Singapore and Indian Institute of Technology (Indian School of Mines), Dhanbad, India in 2013 and 2003 respectively. He was a senior research fellow at  Nanyang Technological University, Singapore from 2015-2019 and research Fellow at National University of Singapore from 2012-2015. Prior to Ph.D, he has worked for 5 years with IBM, Infosys, Mediatek and Philips. He has been selected as fellow for Kauffman Global Scholarship in 2011, in which he was trained in entrepreneurship at Harvard University, MIT, Stanford University and Kauffman Foundation. He is a co-author of book titled "Interpretability in Deep Learning", Springer, 2023. He has secured research and innovation grant from EU, RCN as a PI/co-PI of about ~20 million Euro. He has published 100+ internationally peer-reviewed research articles and patents. His research interests include image processing, pattern recognition and artificial intelligence. He was  the founder of Techaloo (successful exit 2018) and  gpl4you.com and advisor for prepdoor.com , niflr.com.

My Google scholar link.

My Scopus Author ID link.

Reviewer for Journals : Publons profile

[Book] A. Somani, A. Horsch,  D.K. Prasad. "Interpretability in Deep Learning." Springer, pages 483, 2023. (Amazon)(Springer)

co-PI - "BETTER: Better real-world health-data distributed analytics Research platform", (EU HORIZON-RIA 2023 ~9.9 million Euro, 2024-2027)

co-PI - "Sperm filtration for improved success rate of assisted reproduction technology", (ERC PoC 2023 ~180,000 Euro, 2023-2024)

PI - "Spermotile", (RCN Qualification 2023, ~50,000 Euro, 2023)

PI "nanoAI: Nanoscale artificial intelligence in microscopy and nanoscopy for life sciences", (RCN Enabling Technologies 2021, ~1.7 million Euro, 2021-2025)

Co-PI, "Photonic chip based high-throughput, multi-modal and scalable optical nanoscopy platform" (nanoVision),(EU EIC Transition innovation grant 2022 ~2.5 million Euro, 2022-2025)

Co-PI, "OrganVision: Technology for real-time visualizing and modelling of fundamental process in living organoids towards new insights into organ-specific health, disease, and recovery", ( EU Horizon 2020 FETOPEN Grant 2020~3.7 million Euro, 2021-2024)

Co-PI, "VirtualStain: AI based virtual staining to study cardiovascular diseases" (Thematic grant - ~3 million Euros, 2020-2022)

Featured in Dainik Bhaskar; India's No. 1 National Daily News paper for Techaloo.com (14/09/2014) link

Invited speaker at the 1st Alumni meet 2018, KEHSAA - link

News:

EU Horizon 2020 grant, 2023, (Co-PI, 9.8 million Euro) 2023 successful

ERC PoC Grant successful, (Co-PI, 180,000 Euro) 2023 successful

RCN Qualification grant successful, (PI, 50,000 Euro) 2023 successful

Book published on Interpretability of Deep Learning, 2023.

Listed in Top 2% scientist of the world list by Stanford University, 2021

Invited speaker at annual event of Samsung Research India 2022.

DLN Innovation grant (~100,000 Euro) for commercialization of research is successful 

EU EIC Transition grant (Co-PI, 2.5 million Euro, 2022-25) successful

Paper accepted at Nature Machine Intelligence, September 2021

RCN Fripro Enabling Technologies Grant(PI, ~1.7 million Euro, 2021-2025) successful.

Horizon 2020 FETOPEN Grant 2020 (co-PI, ~3.7 million Euro, 2021-2024) successful

Scholarships and Awards:

· Rolls-Royce Inventors Award

·"Best Paper Award" at International Conference on Connected Vehicles, 2017.

· "Best Presentation Award" at International Conference on Intelligent Vehicles and Applications, 2016.

· "Public Spiritedness Award" by Clementi Police Division, Singapore, 2015.

· "Kauffman Global Scholarship" from Kauffman Foundation, USA, in the year 2011.

· "IEEE Travel Grant" for International Conference on Image Processing (ICIP 2010).

· "NTU Research Scholarship" from Nanyang Technological University, Singapore, for the year 2008 - 2012.  

· "ISM  Scholarship" from Indian Institute of Technology(ISM), Dhanbad, India, for the year 1999- 2003. 

· "University Blue" from Indian Institute of Technology(ISM), Dhanbad, India, for Power lifting and Athletics, 2003. 

Teaching Experience:

• Interpretability in Deep Learning(INF 8605/INF 3605), Summer 2023

• Artificial Intelligence methods and applications (INF-2600), winter 2022

• Cloud and Big Data Technology (INF-2220), UiT, Spring 2021, 2022,2023.

• Concurrent and Data Intensive Programming (INF-2202), Spring 2020.

• Data Structures and Algorithms (INF-1101), UiT, Autumn 2020.

• Computational Intelligence and its Applications(INF-3910-7), UiT , Spring 2019.

• Algorithms (CZ2001), Nanyang Technological University, Singapore,  Spring 2018.

• Artificial Intelligence (CZ3005), Nanyang Technological University, Singapore, Fall-2017.

• Computational Intelligence: Methods & Applications (CE7429), Nanyang Technological University, Singapore, Fall-2017.

• Teaching Assistant – Engineering Mathematics I (CE/CZ1008/CE/CZ1011), Nanyang Technological University, Singapore, Fall - 2015, Spring - 2016.

• Teaching Assistant – Computational Intelligence: Methods & Applications (CE7429), Nanyang Technological University, Singapore, Fall-2015.

• Teaching Assistant - Introduction to Programming (CPE/CSC 102) - Fall 2010.

Invited Speaker:

• "Investment in India", Kauffman Foundation, Kansas city, USA,  Feb 2011.

• "Looking beyond silicon valley for innovation", Center for Advanced Professional Studies, Blue Valley School, Overland Park, Kansas, USA, May 2011.

• Invited speaker for Global Entrepreneurship Week, Singapore, 8-20 Nov 2011.

• "Opportunities for student and start up" , Entrepreneurship Week at B.C. Roy Engineering College, Durgapur, India, 11-17 Feb, 2012.

• "Challenging problems of computational photography", Massachusetts Institute of Technology, USA, June, 2014.

• “Feature extraction for microscopy images”, MBI, National University of Singapore, 2014.

• “Image processing and pattern recognition techniques for MRI and Retinal Images”, National University Health Services, Singapore, 2015.

• IEEE Young Professional invited talk on Computational Photography at IEEE TechSym 2016, IIT, Kharagpur, India, 30th Sept-2nd Oct 2016. 

• Keynote Speech at ICIVA 2016, Nov 21-22, Singapore.

• “Artificial Intelligence: Hype or What?”, University of East Anglia, Norwich, United Kingdom, 2018.

• “The Camera Dilemma: Spectrum to Tricolor and Back”, NTNU, Gjovik, Norway, 2018.

• "Career options for Secondary School Students", Khalsha English High School, Kolkata, India, 2019.

• Invited Keynote Speech on ‘Scalable Machine Learning: Practical situational awareness for autonomous maritime navigation – Are we there?’ in workshop on Efficient Frameworks for Compute- and Data-intensive Computing (EFFECT) at UiT during Apr. 25-26, 2019. Link

• "Machine learning based analytics from wearable sensors" by S. Jadhav & D. K. Prasad at workshop on Machine Learning and its Application in Sport Science and Public Health, Munich, Germany, 26-27 Feb 2020.

• "Artificial Intelligence for microscopy and nanoscopy", 33rd International SAOT Workshop on “Modern Biophotonics”,(Online), 16-17 Feb 2021.

Professional Activities:

• Program Chair for CVIP-WM 2017.

• Session chair and 'Best Paper Award' jury for International Conference on Intelligent Vehicles and Applications 2016.

• Guest Editor for special issue on "Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals" for Computational and Mathematical Methods in Medicine 2016.

• Editorial board member of International Journal on Advances in Software 2012-14.

• Reviewer for Journals : Publons profile

• Reviewer for conferences: WACV 2022, BMVC 2021, CVPR 2021, ICCV 2021, NIPS 2021, BMVC 2020, ECCV 2020, AAAI 2020, CVPR 2020, ICCV 2019, CVPR 2019, ACCV 2018, ISCAS2018, COMPUTE 2016, COMPUTE 2015, ACCV 2016, ICVGIP 2016, TechSym 2016, TENCON 2016, ICICS 2015, ACCV 2014, ICVGIP 2014, ICPR2014, ICISP2014, CAD/Graphics 2013,  ICICS2013.

• Program committee - ICVGIP 2018, CVIP 2016, MCS2014, COGNITIVE 2011-2014.

• Mentor for Center for Advanced Professional Studies, Blue Valley School, Overland Park, Kansas, USA, Feb-June 2011.

• Mentor for Indian Institute of Technology(ISM), Dhanbad, India - B-Plan event, Concetto'11.

• Mentor for National Institute of Technology, Raipur, India - B-Plan event, 2012.

Currently Supervising

Ph.D students - Abhinanda Punnakkal, Rohit Agarwal, Ayush Somani, Marc Weitz, Iqra Qasim, Nirwan Banerjee, Suyog Jadhav, Jon Richard, Phan Ngoc Hung

Master Students - Lars Olav

Research Engineer - Aaron Celeste, Saher Tariq

Post-doc- Himanshu Buckchash, Samir Malakar, Mitchell J. Fulton

Researcher - Arif Ahmed

Past staff/Students

Ex-staff -  Vegard Christensen, Halvard Myrens, Sigurd Hellberg, Deepak K. Gupta(Adnoc, UAE)

Ex-master students(UiT) - Ronny Paul, Suyog Jadhav, Aaron Celeste, Nirwan Banerjee, Rohit Agarwal, Ayush Somani, Rohit Singh Rathaur

Ex-PhD students- Helene Xue(Researcher, UiT), Xie Chen(Assoc. Prof,. Dongbei University of Finance and Economics),Dong Huixu (Asst. Prof, Zhejiang University)

Mentored students - Mei Chee(Scientist, A*STAR, Singapore), M Ashrafi(post-doc, SUTD), A. Jha(Ph.D, KU Leuven), A. Bharti(Co-founder, prepdoor), M. Bansal(Principal Data Scientist, CreditVidya), L. Shijie(Business Analyst, Daimler Financial), M. Ramaiah (Asst. Prof., VIT), 

Summer Intern 2024: Arushika Bansal, Ishika Pandey, Arijt Das, Sudhanshu Rai,  Prodipto Chowdhury,

Summer interns 2023 - Akash Guna, Rohit Singh Rathaur

Summer interns 2022 -  Momojit Biswas, Saksham Agarwal, Animesh Gupta, 

Summer interns 2021 - Soham Chattopadhyay(Samsung), Ayush Singh(Microsoft), Ajay Bhave, Ankita Jaiswal

Summer interns 2020 - Suyog Jadhav, Mayank Roy, Naveen Meena(Reliance Jio),  Arijit Sur(Microsoft), Ravali Kuchibhotla, Ajay Bhave, Arti Kumari(Goldman Sachs), Sumit Rai (Deutsche Bank), Priyanshu Kumar(CMU).

Summer interns2019- Gaurav Tripathi(Barclays), Harshit Mahawar(ZS Associate), Syed Ali (paytm).

Useful Links

Reproducible research source code: http://www.csee.wvu.edu/~xinl/reproducible_research.html