Emilie Åsberg

Havguard AS

Inspired by biomimicry (animal behaviour) our technology Orcanet (tm) came to life - optimising the way technology and animals can co-exist in our oceans 🌊

In Havguard AS we use artificial intelligence to make our underwater communication system auto-adaptive to environmental conditions, designed to reduce:
 
- energy consumption
- emission power
- time the fauna is exposed to communication signals
- usage of frequency bands used by animals to limit disturbance
- usage of sound and light in communication, and more usage of the magnetic field

Our team is inspired by our love and care for animals, and based on that we found ways to reduce human impact on nature, simultaneously increasing the quality of service. 

The Orca inspired us because it has a highly complex and yet efficient way of communicating. Their communication signals are using a complex modulation scheme and is adaptable for short and long distances. It's a discrete and interesting animal 🐋

Our technology was developed based on our core values, and the same values motivates us to believe we have a role to play in developing the next generation #underwater technology 🌊

Co-founder, CEO and board member

Ethica Invest AS

Founder, CEO & Chairwoman

Nanize AS

Head of Business Development

Nord University

University Lecturer

Norwegian University of Science and Technology (NTNU)

PhD candidate at NTNU from apr 20 - sept 23. Co-lead a large science project, and first authored three scientific papers published in well known journals.

PHD Candidate

University lecturer

CEO Havguard | Real-time underwater communication equivalent to 5G| AI | dual-use| Norwegian 🇳🇴

Welcome to my profile 🇳🇴

I'm Emilie, a Norwegian entrepreneur and CEO of the deeptech company Havguard AS. 

The world-class expertise in Havguard has spent 14 years of work solving problems in underwater communication and sensing. This has resulted in new and revolutionary technology beyond the state of the art. Since the start of our company in January 23 we have had quite a journey; for instance we were a scouted company for the 401 Tech Bridge/ NavalX cohort BlueTIDE, on panel of disruptive technologies in NATO HQ for the Digital Ocean, venture in the selected CDL Atlantic Ocean program and last but not least a company in the Masschallange BlueTech program. 

My background (PhD.c) is from the Norwegian University of Science and Technology (NTNU), as well as the Nordic program for Innovation and Entrepreneurship (Karolinska Institutet, University of Oslo, University of Copenhagen, and NTNU). I have two abroad courses (Kings College of Applied Security Studies): one in “AI for national security” and another one in “Wargaming and Strategy”.

Additional to Havguard I have founded Ethica Invest (🇳🇴).

Deep tech company. Establishing eyes underwater using unique hardware and AI (underwater industrial Metaverse) 

NTNU Faculty of Medicine and Health Sciences 

180 ̊ N Project: Clinical PET/MRI Machine Learning
Funded by Bergen Research Foundation (BRF) and the Trond Mohn Foundation

Postdoctoral Researcher

St. Olavs hospital, Trondheim University Hospital

Researcher

NTNU Faculty of Natural Sciences

Department of Physics - Biophysics and Medical Technology
Member of MRPhys Group. Working on the research topic "PET/MR Clinical Using Deep Learning Techniques” in collaboration with PET Centre, St. Olav's Hospital.
Supervision of Graduate Level Thesis (MS Biophysics & Biotechnology)

HUNT cloud labs administrator at the MR Physics Group, Department of Biophysics and Medical Technology.

Managed, organized, and controlled a number of HUNT cloud labs related to various projects. In addition, installed software, coordinated work, registered and guided the new members.

Cloud Lab Administrator (Hunt Cloud)

Data manager for the 180N WP5 project, MR Physics Group, Department of Biophysics and Medical Technology.

Responsible for collecting, managing, pseudonymizing, organizing, and securing the multiparametric MR images from the 180N work packages and PET Centre St Olav's Hospital.

Data Manager

MDPI

Ensuring the rigorous standards of the scientific process by taking part in the peer-review system.
Upholding the integrity of the journal by identifying invalid research, and helping to maintain the quality of the journal.
Providing feedback on the research papers, suggesting improvements, and making a recommendation to the editor about whether to accept, reject or request changes to the article.

Reviewer - Cancers Journal

Higher Education Commission

Provide academic guidance and practical support to the Ph.D. Scholars in the field of Computer Science. Ensure timely completion of the HEC Scholars' Ph.D. degree while fulfilling the required publications.

HEC Approved Ph.D. Supervisor

Program Evaluator of the National Computing Education Accreditation Council (NCEAC), HEC, Pakistan.

National Computing Education Accreditation Council (NCEAC)

The Visual Computer Journal (TVCJ)

Providing written, unbiased feedback in a timely manner on the scholarly merits and the scientific value of the work, together with the documented basis for the reviewer’s opinion
Indicating whether the writing is clear, concise, and relevant and rating the work’s composition, scientific accuracy, originality, and interest to the journal’s readers
Avoiding personal comments or criticism
Maintaining the confidentiality of the review process: not sharing, discussing with third parties, or disclosing information from the reviewed paper
Providing a thoughtful, fair, constructive, and informative critique of the submitted work, which may include supplementary material provided to the journal by the author
Determining scientific merit, originality, and scope of the work; indicating ways to improve it; and recommending acceptance or rejection using whatever rating scale the editor deems most useful
Noting any ethical concerns, such as any violation of accepted norms of ethical treatment of animal or human subjects or substantial similarity between the reviewed manuscript and any published paper or any manuscript concurrently submitted to another journal that may be known to the reviewer.

Reviewer

CGI: Computer Graphics International Conference

Session VRIH 5: Visual Analytics, Animation & Point Clouds

CGI Conference Session Chair

Program Committee Member

COMSATS University Islamabad

Undergrad Teaching at Department of Computer Science
Fall 2014 - Spring 2021:
• Instructor for the undergrad-level course "Introduction to Bioinformatics" (BIO310), "Distributed Systems" (CSC334), and "Introduction to Computing" (CSC223)
• Taught a class of ~250 undergrad students in each course per semester
• Designed and conducted labs for "Algorithms and Data-Structures"& “Distributed Systems” 
• Supervised 6 dissertations for BS students on industrial research & development in collaboration with P.O.F and NESCOM
• Awarded as Best Teacher in 2014 (Department of Computer Science)

Administrative Duties at Department of Computer Science
Fall 2014 - Spring 2021:
• Internal Evaluation Committee for Undergrad Final Projects
• Preparing grant proposals and applying for research funding
• Member of Organizing Committee of VISIO Spark 2014
• Organizing Member of IEEE-Comsats Student Branch
• Curriculum re-evaluation documentation for Quality Enhancement Cell of BS(CS) for 2013-2015
• Organizing Committee of Int'l Conference on Frontiers of Information Technology (FIT) 2014–2015

Graduate Teaching at Department of Computer Science
Fall 2014 - Spring 2015:
• Assisted in Graduate Course "CSC638: Advanced Topics in Distributed Systems" 
• Taught 4 sessions on Distributed Computing to a graduate class of ~45 MS and Ph.D. students with a basic understanding of Cloud computing(MapReduce, Spark, Hadoop, Azure) along with developing proficiency in scheduling algorithms

Undergrad Teaching at Department of Electrical and Computer Engineering
Fall 2014 - Spring 2015:
• Instructor for the undergrad Senior Year course "Algorithms and Data-Structures" (CSC112)
• Taught a graduate class of ~135 students with a focus on the algorithm and data structure basics using C++ and Java
• Conducted weekly hands-on training for Eclipse,Turbo C,Visual Studio,IDE Netbeans 
• Helped students with course content, taught debugging strategies, exam grading, and evaluated student final projects

Lecturer

UM-SJTU Joint Institute, Shanghai Jiao Tong University

CLT TA Peer Mentor:
(Fall 2017-Spring 2019)
• Worked as TA Peer Mentor to assist with Basic TA Training Workshops and TA Advanced Training Workshops. 
• Trained newly-recruited teaching assistants (TA) taking engineering labs for Teaching Labs & Lab Safety. Provided guidelines and tips on teaching labs before/during/after the lab emphasizing general and personal lab safety. 
• Conducted workshop on "Practical Guide for Using Canvas" (Fall 2017-Spring 2018). Carried out a demonstration-based workshop on the advanced functionality of Canvas (announcements, assignments, Quizzes). Supervised hands-on practice sessions and evaluated the performance of trainees. 
• Facilitated Teaching Strategies – Active Learning Workshop (for Advance TA Certificate)
• Performed duties of peer consultant to new TAs (~80 students) for each semester for over two years.
• Held weekly office hours to help TAs encountering problems in their job, responsible for answering queries on Canvas, and providing practical advice.

TA Orientation Conferences:
(Fall 2016 - Spring 2019)
• Part of organizing committee for TA Orientation Conferences every semester.
• Assisted in the selection of TAs based on the evaluation from their instructors and students for the  “Outstanding Teaching Assistant”, and “Outstanding Teaching Assistant Group” (2 each year) awards.
• Hosted TA Orientation Conference in Spring 2018 and Fall 2018. 
• Responsible for the documentation of the TA Handbook emphasizing TAs’ roles and responsibilities.

CLT Certification: 
(Fall 2016-Spring 2017)
• Basic TA Certificate: Attended teaching & learning workshops, mid-term consultation, and final job performance evaluation during the semester.  
• Advanced TA Certificate: Advanced Training Workshops all three professional training sessions for TA Advance Certificate and received the distinction in "Onsite Evaluation" and "Teaching Strategies – Active Learning"

TA Mentor-Center for Research on Learning and Teaching (CLT)

Fall 2016 - Spring 2019:
• Assisted Dr. Manuel Charlemagne with teaching responsibilities of the graduate-level course "Technical Communication" (VG500).
• Taught a graduate class of ~35 Masters and Ph.D. students with emphasis on using Latex for writing and presenting scientiﬁc articles. 
• Graded assignments, posters, presentations, quizzes, and technical reports as well as guided students in their assignments and final projects.
• Organized a public poster event for displaying class projects.

Spring 2018:
• Assisted Professor Andrew Yang and Dr. Kwee-Yan Teh with the Junior Year undergrad course "Engineering Laboratory" (VM395). 
• Taught 3 sessions on engineering lab report writing and conducting lab experiments, and guided students in presenting the technical findings during engineering experiments.
• Supervised hands-on training sessions during lab sessions (coding in MatLAB and Python) and introduced advanced functionality in MS Excel.

Spring 2017:
• Assisted Dr. Jing Liu and Dr. Manuel Charlemagne with the graduate-level course "Introduction to Engineering Numerical Analysis" (Vv570).
• Conducted lab sessions (coding in MatLab and Python), grading, helping students with lab assignments, project problems, and course content.
• Lead TA, managing a team of 3 TAs with course enrollment of ~150 students and organized an hour RC per week

Graduate Teaching Assistant

Liverpool John Moores University

Worked as Visiting Researcher under the supervision of Dr. Po Yang, Senior Lecturer, Department of Computer Science (DCS) on Detection and Staging of Lung Nodules using Deep Learning.

Visiting Researcher - Department of Computer Science (DCS)

Experienced Lecturer with a demonstrated history of working in the research industry. Strong education professional with a Doctor of Philosophy (Ph.D.) focused on Computer Science and Engineering. Currently working as a researcher in the field of Medical Image Analysis using Deep Learning.

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Emilie Åsberg

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