Welcome to my page !!!
Visiter Number
Ashutosh Dhar Dwivedi
Assistant Professor
addw@es.aau.dk
Cybersecurity Group
Department of Electronic Systems
Aalborg University, Copenhagen
Denmark
Explore online course: 'The Post-Quantum Security' (Click here)
Curious about how to identify cyber threats using machine learning without any prerequisite? Explore my online course: 'The Cyber Detectives' (Click here)
Teaching Experience:
Continuing Education & Professional Courses for Industry People (IT Vest):
2025
Blockchain Security and Privacy (self designed course) (Spring)
2024
Basic technical IT security (Spring)
Cyber Attacks: Prevention, Detection and Management (Spring)
Modern Security Solutions for Safeguarding the Digital Landscape (self designed course) (Fall)
Applied Cryptography (self designed course) (Autumn) (Course Evaluation Link)
2023
Basic Network Security (Course Evaluation Link)
Traffic Analysis and Network Security (Spring)
M.Sc and B.Sc (Aalborg University):
2025
Identity Access Management (IAM) (M.Sc, Cyber) (Spring)
Advanced Topics in Cybersecurity (M.Sc) (Autumn)
Introduction to Scripting, Data Mining and Machine Learning (M.Sc Techno-anthropology)
2024
Advanced Topics in Cybersecurity (M.Sc) (Autumn)
DLT 2024 (belongs to course Security in IoT and Cloud Architectures, Partial) (Class Evaluation Link)
2023
Machine Learning and AI (self designed course) (B.Sc) (Course Evaluation Link)
Privacy Engineering (Partial, M.Sc Cybersecurity) (Course Evaluation Link)
Blockchain (belongs to course Advanced Network Security) (Partial, M.Sc) (Course Evaluation Link)
Traffic Analysis and Machine Learning (belongs to course Advanced Network Security) (Partial, M.Sc) (Course Evaluation Link)
Introduction to Scripting, Data Mining and Machine Learning (M.Sc Techno-anthropology)
Machine Learning for "Digitization of the health sector" course (Partial, B.Sc) (Spring) (Course Evaluation Link)
Introduction to Probability Theory and Statistics (Exercise Sessions) (B.Sc) (Spring)
2022
Courses I taught at Copenhagen Business School:
Cybersecurity Foundations and Analytics (Link) (self designed course, Teaching Evaluation: 4.6/5)
Foundations of Data Science: Programming and Linear Algebra (Partially) (Link)
Main areas of interest:
Cryptography
Symmetric Cryptography
Quantum Key Distribution
Privacy
Blockchain
Lightweight Encryption
Machine Learning
Internet of Things
Cyber Security Analytics
Post Quantum Cryptography
Education:
Doctor of Philosophy (PhD), Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland. (Link)
Masters of Computer Applications (MCA), Amity School of Computer Science, Noida, India. (Link)
Bachelor of Science (B.Sc.), (Physics, Maths, Computer Science), University of Allahabad, Prayagraj, India. (Link)
Experiences:
Postdoctoral Researcher, Cybersecurity Group, Aalborg University, Copenhagen, Denmark (1 Feb 2023 → 30 June 2024) (Link) (THE world Rank)
Postdoctoral Researcher, Department of Digitalization, Copenhagen Business School, Denmark (20 Dec 2021 → 31 Jan 2023) (Link) (QS world Rank)
Postdoctoral Researcher, DTU Compute, Technical University of Denmark, Denmark (1 Jan 2020 → 30 Nov 2021) (Link) (QS World Rank)
Full Time Visiting Researcher, University of Waterloo, Canada (7 May 2019 → 3 Sep 2019) (Link). (QS World Rank)
Visiting Researcher, Brandon University, Canada (1 Jul 2018 → 31 Mar 2019) (Link)
Researcher, Polish Academy of Sciences, Poland (1 Sep 2015 → 31 Aug 2018) (Link) (Research Institute World Rank)
Assistant Professor (Guest Faculty), University of Allahabad (1 Jul 2015 → 2 Sep 2015) (Link)
Research Scholar, Military University of Technology, Poland (1 Apr 2015 → 30 Jun 2015) (Link)
Software Engineer and Subject Matter Expert, Evelyn Learning Systems Pvt. Ltd. India (15 Apr 2014 → 18 Mar 2015) (Link)
Software Engineer (Intern), Center for Railway Information System, India (15 Feb 2013 → 2 Sep 2013) (Link)
Recent Achievements:
In 2023, 2024, honored by Stanford University, ranking among the top 2% of scientists worldwide for contributions in Research.
2021: Best Paper Award: A Decentralized lightweight Privacy-preserving Healthcare Blockchain
2019 Invited participant, 7th Heidelberg Laureate Forum, Sep 22-27, 2019 at Heidelberg, Germany.
Selected in 200 qualified Young Researchers across the world to participate in the forum. (Click here)
Language skills:
Hindi (mother tongue)
English (fluent)
Programming or technical skills:
C,
C++
Python
Latex
Blogs/news/links (mentioned my research):