Seminar Autumn Semester 2021
Organization
- Supervision: Prof. Dr. Torsten Braun
- Coordination: Dr. Antonio Di Maio
- Time: Every Monday, from 13:15 to 15:00
- Location: hybrid: N302, Neubrückstrasse 10 and Online (Zoom)
- Zoom Password: cds
- ILIAS page
Prerequisite
Basic knowledge in computer networks as e.g., obtained in the bachelor lecture Computer Networks.
Target Group
BA/MSc students doing a thesis in the CDS group, Ph.D. students, and postdocs of the CDS group.
Content
The seminar is composed of presentations about current research topics that are investigated in the context of Ph.D./Postdoc research activities.
Attendance
Each presenter must prepare three questions about the content of the presentation, and the other students will have from Monday to Thursday to send answers to the coordinator's e-mail in order to have their attendance accounted for.
According to a recent communication from the rectorate: "Since there will no longer be any capacity restrictions in the lecture halls, the university also wants to do everything possible in this area to reduce the risk of infection with SARS-COV 2 during teaching. Therefore, the university expects all students to only attend if they are vaccinated, recovered, or have recently been tested and if they do not feel ill. If students do not meet these requirements, the university strongly encourages them to follow the teaching by podcast or other alternatives provided by the lecturer. We appeal to the students’ personal responsibility and to their sense of responsibility towards their fellow students.". Therefore, the CDS members and the presenters will attend the classes on-site and the other students online. Zoom video conferencing tool will be used to handle remote meetings.
Remarks
- For BA/MSc students who need ECTS points, they may take the seminar as „Proseminar“ or a Master seminar respectively. In this case, the students must give at least one talk and a topic must be agreed upon with the seminar supervisor beforehand. Seminar topics are distributed in the first week of the semester.
- The participation of 75% of the seminar talks is also needed to qualify for ECTS points (For instance, with probably 12 seminars this will require 9 attended ones). Excuses for important reasons (according to article 23 RSL) are accepted, proof is required in such cases. It is mandatory to attend the first class of the semester.
- For each seminar you do not attend, you can compensate as follows: search for each seminar talk 3 journal or conference papers (in either IEEExplore or ACM digital library) that are related to the seminar talk. Please summarize each paper on one page using IEEE format. The report should be sent to Prof. Braun within 1 week after the last seminar talk.
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Presentation titles should be announced prior to the presentation. After the presentation, the presenters may forward their slides to the coordinator for publication on this website. Please use the Uni Bern template to prepare your presentation.
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Seminar talks last 30 minutes, followed by a 15-minute Q&A session.
Schedule of the Autumn Semester 2021
Date | Name | Title |
---|---|---|
20.9.2021 | Patric Hammler (PhD, remote) | Multi-Agent Reinforcement Learning: Cooperation, Coordination, Communication |
27.9.2021 | Jakob Schaerer (PhD) | Auditable Distributed Sensing |
4.10.2021 | Yamshid Farhat (PhD) | Advanced planning of electric networks with Machine Learning Algorithms |
11.10.2021 | Hugo Santos (PhD, remote) | Cellular Automata based Floating Service Orchestration in Mobile Fog Computing Environments |
18.10.2021 | Lucas Pacheco (PhD) |
Vehicular Federated Learning - Design and Implementation |
25.10.2021 | Joel Hari (BSc, supervised by Jakob Schaerer) |
Development and evaluation of a low-cost sensor for microclimatic assessments |
1.11.2021 | Diego Oliveira (PhD, remote) | Software-Defined Service-Centric Networking for Service Provisioning in Urban Environments |
8.11.2021 | Negar Emami (PhD) Dimitris Xenakis (PhD) |
Deep Learning Approaches for Mobility Prediction Anchor-free Ranging-Likelihood-based Cooperative Localization |
15.11.2021 | Alisson Medeiros (PhD) | Managing Edge-enabled Mobile Virtual Reality Services with Service Chaining Graph |
22.11.2021 | François-Xavier Wicht (MSc, supervised by Negar Emami) | Mobility Prediction Through Statistical and Machine Learning Models |
29.11.2021 | Eric Samikwa (PhD) | Adaptive Resource Aware Split Learning for IoT |
6.12.2021 | Tofunmi Ajayi (PhD) Dominique Marcel Roux (MSc, supervised by Dimitris Xenakis) |
Resource Orchestration in 5G Mobile Networks Indoor Localization - How Smartphones can Help Setting-Up and Maintaining Indoor Maps |
13.12.2021 | Joel Hari (BSc, supervised by Jakob Schaerer) Thushjandan Ponnudurai (MSc, supervised by Jakob Schaerer) |
Development and evaluation of a low-cost sensor for microclimatic assessments Distributed ledger-based Identity Management approaches for IoT |
20.12.2021 | Dr. Antonio Di Maio | Analysis of VoIP Traffic Over Mobile Ad Hoc Networks |