David Berend

Ideas, publication and work: www.safe-intelligence.com

Work Experience

  • PhD Candidate in Artificial Intelligence / NTU, Singapore / June, 2019 – present

    Ideas, publications and work: www.safe-intelligence.com

  • Management Consultant in CIO Advisory / PwC / Jan, 2018 – May, 2019

    Consulted two of the biggest public sector digitization projects of Germany (Defense Inventory Controlling Platform, Nationwide Standardized Working Space) • Key Responsibilities: Identifying and translating strategic requirements into product solutions, recognizing and mitigating technical risks as well as leading development teams • Leading the Consultant Call, organizing and moderating Q&A sessions between Partners and Consultants

  • Research Associate in Machine Learning / NTU, Singapore / Mar, 2017 – Dec, 2017

    • Developed an AI algorithm to unlock android phones impacting 2.3 billion people • Wrote a paper with renowned Fraunhofer Institute and advisory of INSEAD Business School • Won best PhD Forum Paper Award at an IEEE Computer Science conference and the Best Publication Award at NTU for highest global media coverage

  • Founder of Software Startup / AskCircle / Apr, 2015 – Jul, 2016

    • Developed a mobile product solution for clear and structured group discussion • Entered the market together with a professor of mine as an angel investor and a team of five at a valuation of 25,000€

Education

> Ph.D. Artificial Intelligence, 2019 – present, Nanyang Technological University, Singapore, CGPA 5.0/5.0

> B.Sc. Computer Science and Business, 2014 – 2018, University RheinMain, Germany, GPA 3.6/4.0

Publications

 

 

(ICSE SRC 2021) David Berend, Distribution Awareness for AI System Testing, The Proceedings of the 43rd International Conference on Software Engineering, ACM Student Research Competition (ICSE SRC 2021), Madrid, Spain, 2021, (Acceptance rate: 138/615 = 22.4%)

(APSEC 2020) Lingjun Zhou, Bing Yu, David Berend, Xiaofei Xie, Xiaohong Li, Jianjun Zhao, Xusheng Liu, An Empirical Study on Robustness of DNNs with Out-of-Distribution Awareness, The 27th Asia-Pacific Software Engineering Conference, Singapore, 2020, Best Paper Award

(ASE 2020) David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu and Jianjun Zhao. Deep Learning Testing Calls for Out-Of-Distribution Awareness, The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), Melbourne, Australia, 2020. (Acceptance rate: 93/414 = 22.5%)

(ARES 2018) David Berend, Shivam Bhasin and Bernhard Jungk, There Goes Your PIN: Exploiting Smartphone Sensor Fusion Under Single and Cross User Setting, The 13th International Conference on Availability, Reliability and Security (ARES 2018). Association for Computing Machinery, New York, NY, USA, 2018

(ISVLSI 2018) David Berend, Bernhard Jungk and Shivam Bhasin, Guessing Your PIN Right: Unlocking Smartphones with Publicly Available Sensor Data, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Hong Kong, 2018, Best Student Paper Award