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CPS&IoT'2022 - the 10th International Conference on Cyber-Physical Systems and Internet-of-Things
by Jozwiak, Lech 12 Nov '21

12 Nov '21

Special Focus: Green CPS&IoT for Green World Special Theme of CPS&IoT’2022: Artificial Intelligence, Edge Computing, Architectures, Methods and Tools for Autonomous Robots, Vehicles, Assistive, Environmental and other advanced CPS&IoT Dear Colleague, Please find the Call for Papers of CPS&IoT’2022 - the 10th International Conference on Cyber-Physical Systems and Internet-of-Things, Budva, Montenegro, 7-10 June, 2022 attached to this e-mail. CPS&IoT’2022 will be held in the Conference Venue (Hotel Budva) and online. All papers that will be accepted after the conference review process will be published in the CPS&IoT’2022 Conference Proceedings regardless of the authors' physical presence at the conference and will be presented by their authors either in the Conference Venue or online. The CPS&IoT’2022 Conference will host several prestigious keynote speakers from industry and academia. Extended journal versions of selected high-quality papers will be published in a special issue of the ISI indexed journal “Microprocessors and Microsystems” (MICPRO) https://www.journals.elsevier.com/microprocessors-and-microsystems<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.journ…>. The CPS&IoT'2022 Conference<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fembeddedc…> is collocated with the CPS&IoT’2022 Summer School<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fembeddedc…> and MECO'2022 Conference<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fembeddedc…> - the 11th Mediterranean Conference on Embedded Computing. Together they constitute a major Europe based conference event in CPS and IoT. Please also find attached the Call for Workshops and Special Sessions of CPS&IoT’2022. You are encouraged to submit your papers, as well as, Workshop and Special Session Proposals to the CPS&IoT’2022 Conference, and to participate in the collocated CPS&IoT’2022 Summer School. Paper Submission Deadline: 31 January 2022. Workshop and Special Session Proposal Submission Deadline: 30 November 2021. Best regards, Lech Jozwiak Program Chairman of the CPS&IoT’2022 Conference and Radovan Stojanovic Managing Chairman of the CPS&IoT’2022 Conference

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[Journal] IJAIT Call for Special Issue on Explainable Machine Learning in Methodologies and Applications
by Pub Conference 09 Nov '21

09 Nov '21

Computational Intelligence Journal Special Issue on Explainable Machine Learning in Methodologies and Applications https://onlinelibrary.wiley.com/page/journal/14678640/homepage/special_issu… This special issue aims to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. We hope that this Special Issue will: 1) improve the understanding and explainability of machine learning and deep neural networks; 2) enhance the mathematical foundation of deep neural networks; and 3) increase the computational efficiency and stability of the machine and deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following:  Interpretability of deep learning models  Quantifying or visualizing the interpretability of deep neural networks  Neural networks, fuzzy logic, and evolutionary based interpretable control systems  Supervised, unsupervised, and reinforcement learning  Extracting understanding from large-scale and heterogeneous data  Dimensionality reduction of large scale and complex data and sparse modeling  Stability improvement of deep neural network optimization  Optimization methods for deep learning  Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data)  Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Important Dates Deadline for Submissions: March 31, 2022 First Review Decision: May 31,‬2022 Revisions Due: June 30, 2022 Deadline for 2nd Review: July 31, 2022 Final Decisions: August 31, 2022  Final Manuscript: September 30, 2022

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Call for paper-Neural Computing and Applications, Topical Collection on Interpretation of Deep Learning
by Pub Conference 08 Nov '21

08 Nov '21

Neural Computing and Applications <https://www.springer.com/journal/521/> Topical Collection on Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization https://www.springer.com/journal/521/updates/19187658 Aims, Scope and Objective While Big Data offers the great potential for revolutionizing all aspects of our society, harvesting of valuable knowledge from Big Data is an extremely challenging task. The large scale and rapidly growing information hidden in the unprecedented volumes of non-traditional data requires the development of decision-making algorithms. Recent successes in machine learning, particularly deep learning, has led to breakthroughs in real-world applications such as autonomous driving, healthcare, cybersecurity, speech and image recognition, personalized news feeds, and financial markets. While these models may provide the state-of-the-art and impressive prediction accuracies, they usually offer little insight into the inner workings of the model and how a decision is made. The decision-makers cannot obtain human-intelligible explanations for the decisions of models, which impede the applications in mission-critical areas. This situation is even severely worse in complex data analytics. It is, therefore, imperative to develop explainable computation intelligent learning models with excellent predictive accuracy to provide safe, reliable, and scientific basis for determination. Numerous recent works have presented various endeavors on this issue but left many important questions unresolved. The first challenging problem is how to construct self-explanatory models or how to improve the explicit understanding and explainability of a model without the loss of accuracy. In addition, high dimensional or ultra-high dimensional data are common in large and complex data analytics. In these cases, the construction of interpretable model becomes quite difficult and complex. Further, how to evaluate and quantify the explainability of a model is lack of consistent and clear description. Moreover, auditable, repeatable, and reliable process of the computational models is crucial to decision-makers. For example, decision-makers need explicit explanation and analysis of the intermediate features produced in a model, thus the interpretation of intermediate processes is requisite. Subsequently, the problem of efficient optimization exists in explainable computational intelligent models. These raise many essential issues on how to develop explainable data analytics in computational intelligence. This Topical Collection aims to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. We hope that this Topical Collection will: 1) improve the understanding and explainability of machine learning and deep neural networks; 2) enhance the mathematical foundation of deep neural networks; and 3) increase the computational efficiency and stability of the machine and deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: - Interpretability of deep learning models - Quantifying or visualizing the interpretability of deep neural networks - Neural networks, fuzzy logic, and evolutionary based interpretable control systems - Supervised, unsupervised, and reinforcement learning - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction of large scale and complex data and sparse modeling - Stability improvement of deep neural network optimization - Optimization methods for deep learning - Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data) - Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Guest Editors Nian Zhang (Lead Guest Editor), University of the District of Columbia, Washington, DC, USA, nzhang(a)udc.edu Jian Wang, China University of Petroleum (East China), Qingdao, China, wangjiannl(a)upc.edu.cn Leszek Rutkowski, Czestochowa University of Technology, Poland, leszek.rutkowski(a)pcz.pl Important Dates Deadline for Submissions: March 31, 2022 First Review Decision: May 31, 2022 Revisions Due: June 30, 2022 Deadline for 2nd Review: July 31, 2022 Final Decisions: August 31, 2022 Final Manuscript: September 30, 2022 Peer Review Process All the papers will go through peer review, and will be reviewed by at least three reviewers. A thorough check will be completed, and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time. The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works). Submission Guidelines Paper submissions for the special issue should strictly follow the submission format and guidelines ( https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables). Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx. Authors should select “TC: Interpretation of Deep Learning” during the submission step ‘Additional Information’.

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Call for Special Offers (RoboCup Humanoid League)
by Maike Paetzel-Prüsmann 05 Nov '21

05 Nov '21

========================================================= Call for Special Offers (Humanoid League) ========================================================= Research institutes and companies that produce and sell relevant hardware for RoboCup humanoid teams are encouraged to send their proposals for special offers to the Technical Committee of the Humanoid League. A special offer is limited in time and enables teams and institutes participating in RoboCup 2022 to buy a hardware product used for the RoboCup 2022 competition for a reduced price or under other special conditions. Hardware products can either be complete robot platforms or relevant hardware parts needed for robot construction. Special offers will be published on the humanoid league website and sent out via the RoboCup email list. Special offers are *not* considered an official sponsoring of the RoboCup event. Important dates: ----------------------------------------------------------- * Deadline: November 29th 2021 * Notification: December 3rd 2021 Submission guidelines and procedure ---------------------------------------------------------- Send an email with a the following information to the Humanoid League Technical Committee <rc-hl-tc(a)lists.robocup.org> : 1. Name of institution or company and contact information of a person responsible for the offer 2. Description of the special offer as it shall appear on the website (max 100 words). This MUST include information about the product, the price and a point of contact 3. Explanation of relevance to the league (if not obvious from the description) 4. Date of expiry for the special offer All proposals for special offers will be reviewed by the Technical Committee and checked for relevance to the league. The responsible person for the special offer will be notified on December 3rd about the decision. Kind regards, Maike (for the Humanoid Legue Technical Committee) -- Dr. Maike Paetzel-Prüsmann Postdoctoral Researcher Foundations of Computational Linguistics Laboratory University of Potsdam, Germany Pronouns: she / her More information: https://www.maike-paetzel.de/

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AtHome2022 - First Call for Participation
by Mauricio Matamoros 01 Nov '21

01 Nov '21

Online version: https://athome.robocup.org/2022-cfp1-all/ ==================================================================== First Call for Participation RoboCup@Home 2022 (DSPL · OPL · SSPL) Summer 2022 (Bangkok, Thailand) RoboCup is an international scientific initiative with the goal to advance the state of the art of intelligent robots through competitions (RoboCup@Home, RoboCup Soccer, RoboCup Rescue, RoboCup@Work and RoboCup Junior). The RoboCup@Home league aims to develop service and assistive robot technology with high relevance for future personal domestic applications. It is the largest international annual competition for autonomous service robots and is part of the RoboCup initiative. A set of benchmark tests is used to evaluate the robots’ abilities and performance in a realistic home environment setting. Focus lies on the following domains but is not limited to: Human-Robot-Interaction and Cooperation, Navigation and Mapping in dynamic environments, Computer Vision and Object Recognition under natural light conditions, Object Manipulation, Adaptive Behaviors, Behavior Integration, Ambient Intelligence, Standardization and System Integration. This page describes the preregistration and qualification procedure for RoboCup@Home 2022. Important dates: Oct. 31, 2021 Publication of the Call for Participation Nov. 28, 2021 Deadline for submission of qualification material. (Team Description Paper, Team Video, Team Website). Jan. 10, 2022 Qualification announcement Jan. 30, 2022 Deadline for Participation Confirmation The qualification procedure consists of the following steps: ****Step 1) Qualification Material Submission (mandatory)**** The team ***MUST*** send an email to the Organizing Committee (oc [at]robocupathome.org) to participate in the qualification process for the RoboCup@Home 2022 event. Please fill in the following information: Team Name: League: [ DSPL | OPL | SSPL ] Country: Affiliation: Team Leader Name: Contact information (E-mail): Rank in local tournaments: Link to a team video: Link to a team web site devoted to their efforts: Team Description Paper (TDP) attached to the email based on the official template. The e-mail subject should be: [@Home2022-Qualification](YourTeamName) Considerations: · Only one platform can be specified per team. Only one team leader · can be specified per team. · Only one team video url can be specified per team. · Only one contact email can be specified per team. · All the publications and software to be evaluated for qualification ***MUST*** be in the team’s website. · The email must be encoded in UTF-8 using only the ISO-8859-1 character set. **** Deadline: Sunday, Nov. 28, 2021 23:59 GMT ***** ****Step 2) Participation confirmation (mandatory)**** All qualified teams ***MUST*** send an email to the Organizing Committee (oc[at]robocupathome.org) to confirm (or cancel) their participation in the RoboCup@Home 2022 event. Confirming attendance implies that the team has sufficient resources to register, and commits to attend to the event. To confirm participation, please fill in the following information: Team Name: League: [ DSPL | OPL | SSPL ] Country: Hereby [Team Name] of [Country] [confirms | forfeits] participation in the the RoboCup@Home [League]. The e-mail subject should be: [@Home2022-Confirmation] (YourTeamName) Remark: Qualified teams who miss the participation confirmation will be disqualified automatically and the participation slots freed for the Second Call for Participation. **** Deadline: Sunday, Jan. 30, 2022 23:59 GMT ***** ****Step 3) Robot Acquisition (Standard Platform Leagues):**** Qualified Teams must contact the supplier as soon as the Qualification Notification arrives to start the acquisition procedure. Teams selected to receive Standard-Platform robots have to make an agreement with the supplier in compliance with the supplier’s instructions. The suppliers are not allowed to sell, export, lease and/or ship their products to natural or legal persons and to entities and countries which are subject to international sanctions or prohibitions. Since Selection Committee cannot answer this issue, please ask the supplier directly. Remark: Failing to acquire a Standard-Platform will void the qualification of the SSPL/DSPL. It won’t not possible for SSPL/DSPL to change to OPL. ****Instructions for the Qualification Material**** ***Instructions for the Team Video:*** In order to proof a running hardware, each team has to provide a qualification video. As a minimum requirement for qualification, the video must show the robot(s) successfully solving a task involving the integration of at least 5 different abilities, such as: environmental reasoning, high-level task planning, human-robot interaction, localization, manipulation, object recognition, people recognition, etc. Remarks: · The shown task execution must look continuous, smooth, and robust. · When speeding-up video, the speed factor must be indicated. · The language spoken and shown in the video must be English. · When using any other languages, translations must be included. · We strongly suggest upload videos to Youtube. · Videos sent will be uploaded/displayed in the league’s youtube channel http://www.youtube.com/channel/UChkdCpT0xrFMMt-_N8wSVew/playlists” · Standard Platforms Only: Teams are allowed to use any robot in their Team Video. However, the use of the standard robot is advised. HINT: It is strongly advised to show your robot(s) smoothly and accurately solving any of the Stage II tests of the 2018, 2019, and 2020 rulebooks. Copyright note:When sending videos for qualification, teams implicitly grant permission to RoboCup @Home and the RoboCup Federation to copy, modify, distribute, upload, publish, and use the multimedia material to promote the event and the league at convenience. ***Instructions for the TDP*** The TDP is an 8-pages long scientific paper, detailing information on the technical and scientific approach of the team’s research, while including also the following: · TDP · Group’s research focus and interests. · Innovative technology and scientific contribution · Please specify when your research is being used by other teams or research groups · Please specify when you are using software from other teams · Brief, general description of the system when solving a [domestic] task (applicability in the real world) · The impact of your research must be clearly visible · Maximum length is 8 pages (including figures and citations) · Annex · Photo(s) of the robot · Brief, compact list of the 3rd party robot’s software (e.g. include MoveIt/YOLO) · Brief, compact description of all external computing devices, if any · Brief, compact description of the robot’s hardware (OPL Only) · Please mark with an asterisk home-made software solutions Annex should be appended after the References · There is no page limit for annex, but a maximum of one page is strongly encouraged · TDP length is ****8 pages + annex**** (any submissions over this length will be disqualified). · DSPL and SSPL: The robot depicted in the TDP or Team Video must be the league’s standard one. For the TDP, please use the Springer LNAI format used in the RoboCup Symposium submissions and limit yourself to 8 pages without altering margins or spacing (including references but excluding the annex). You may download a template for the TDP from here. Remark: The language for the TDP, its graphics, tables, images, and all additional content must be English. Content in other languages must be translated. Copyright note: All TDPs sent for qualification may be made publicly available in the RoboCup @Home Wiki for further reference. On submitting, teams implicitly grant permission to RoboCup @Home and the RoboCup Federation to copy, distribute, upload, publish, and use the manuscript to promote the event and the league at convenience. ***** Exceeding the number of pages will automatically void your application *****. ***Instructions for the Web site*** While the TDP goes into detail about the technical and scientific approach of the team’s research, the website should be designed for a broader audience, including: · Photos of the robot(s) · Videos of the robot(s) · Description of the approaches and information on scientific achievements · Relevant publications (last 5 years, preferably available to download) · Link to repositories with software for the community · Team members · Previous participation in RoboCups · Participation and rankings in local RoboCup tournaments Remark: No IP addresses will be accepted as website. Remark: Only documented active software repositories are considered as contributions to the league. It must be clear and straightforward to other teams how to use your software. ***Qualification and evaluation criteria:*** In this first Call for Participation, up to 8 teams per league can be assigned a participation slot. In order to qualify, a team must meet the minimum selection requirements approved by the Executive Committee. However, meeting the minimum requirements won’t automatically grant a participation slot. Only the top 8 teams meeting the selection criterion will qualify for participation. Rejections are strongly advised to improve their qualification materials and apply in the second CFP. Qualification materials will be judged by the following criteria: · Team description paper (clarity, scientific contributions, re-usability by the league, applicability in real world) · Performance in local tournaments and previous competitions. · Qualification Video (number of demonstrated abilities, integration, difficulty of the task, applicability in real world) · Website (multimedia, publications from last 5 years, downloadable content, open-source software and other contributions) · Relevant Scientific contribution/publications (downloadable papers and open-source software) · Novelty of approach (what you do is new for @Home) We encourage teams to produce self-explicative videos for a general audience where complex tasks are solved. For Team Description Papers focus on the scientific contribution and avoid brief descriptions of the overall system. With kind regards, and looking forward to see your team in Bangkok, The 2022 RoboCup@Home Organizing and Technical Committees

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AAMAS 2022 Call on Diversity and Inclusion Activities
by Sara Bernardini 30 Oct '21

30 Oct '21

Submission Deadline: Rolling submissions will be processed until April 1, 2022. Submission Notification: Rolling notification. DIVERSITY AND INCLUSION ACTIVITIES: Participation in AI (including Autonomous Agents and Multiagent Systems) by groups that are underrepresented in computer science is a fraction of what is needed to have an AI workforce that reflects the diversity in society. Diversity has many facets, including race, ethnicity, gender, age, religion, disability, sexual orientation, socioeconomic status, and cultural background. We would like to invite submissions of proposals for activities that will help broaden participation in the AI (including Autonomous Agents and Multiagent Systems) field. Activities can range from meetings for specific groups, to panels, workshops to discuss the situation and propose changes, reports on outreach activities, and more. SUBMISSION PROCEDURE: The proposals should be short (2 pages, pdf) and should address the following: 1. What activity is proposed and its specific objectives 2. Who will be the chair of the activity 3. What is the target audience (academics, industry, graduate students, undergraduate students, etc) 4. What is expected number of participants 5. Duration of the proposed activity (1/2 day, 1 day, 2 hours, etc) 6. Will the activity be by invitation only or will it need an open call for participation/registration/submission, and what is the expected timeline (call out, deadline, notification) 7. Funding needed (if any) and potential sources of funding 8. Advertisement strategy: how will the event be advertised on mailing lists and social media? 9. Willingness of in-person, online, or hybrid event organization: AAMAS 2022 may be held in-person, online, or hybrid. Please describe your plan for conducting in-person, online, and hybrid events. Each proposal should be submitted electronically as a single PDF file via emails to all co-chairs (hchan3(a)unl.edu and long.tran-thanh(a)warwick.ac.uk). For any questions, please contact the co-chairs of the diversity and inclusion activities. ORGANIZERS: Hau Chan (University of Nebraska-Lincoln, USA) Long Tran-Thanh (University of Warwick, UK)

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AAMAS-2022 Call for Demos
by Sara Bernardini 30 Oct '21

30 Oct '21

Call for Demos https://aamas2022-conference.auckland.ac.nz/calls/call-for-demos Important Dates Demonstration Submission: January 21st 2022 (23:59 UTC-12) Author Notification: February 25th 2022 (23:59 UTC-12) Camera Ready Submission: March 11th 2022 (23:59 UTC-12) Information for Authors The goal of the AAMAS Demo track is to provide opportunities for participants from academia and industry to present their latest developments in agent-based and robotic systems. Interactive systems and novel applications are particularly welcome. Two “Best Demo” awards will be selected by the Demos Program Committee along with the conference attendees to recognise the most innovative demo (the one with the most original and significant research methodologies) and the best application demo (the one with the highest potential for real-world impact). Authors of accepted papers and posters in the main track of the AAMAS conference, as well as workshop presenters, are particularly encouraged to submit. Topics of Interest Topics of interest include (but are not limited to) the following: Systems implementing agents in real-world settings in various application areas such as engineering (e.g., transportation, robotics, manufacturing, grid), economy (e.g.,e-commerce), health care, societal challenges and education. Systems supporting the development of agents which include development environments and tools to assist developers in the specification, design, implementation and/or testing of agent systems. Systems using agents to model behavior which include virtual agents, simulation systems,games and social robots. Submission Requirements Submissions accepted to the Demo track will be advertised on the AAMAS website and included in the conference proceedings. Each Demo submission must consist of both the following elements (paper + video). Paper (maximum 4 pages): Papers should not be anonymised, i.e., author names and affiliations should be included. Pages 1-2: Description of the system to be demonstrated. The authors are encouraged to discuss the application domain, problem scenario, technology used, agent/multi-agent techniques involved, innovations of the system, interactive aspects, etc. Page 3: List the bibliographic references. Page 4: A list of requirements for the demo setup at the conference for the organizers, in case the conference will be held in person. Papers must be prepared using the AAMAS 2022 template and submitted as PDF files. Submissions not conforming to the guidelines above will be rejected. Video (maximum 5 minutes): The paper must contain a URL to a (QuickTime or YouTube) demonstration video of no more than 5 minutes, showing and explaining the execution of the system. The video should be understandable without sound as much as possible, as they may be played during the conference (see below). The video should include (at the beginning and at the end) the title of the demo and the track number provided by the submission system. At least one author of each accepted demonstration is required to register and attend the conference to carry out the demonstration. In case of an in-person (or hybrid) conference: The organisers will make every effort to facilitate demo requirements. If you have unusual requirements please contact the organisers in advance. We will provide a poster board, a monitor with a standard HDMI connector, a power strip and a 2m table for each demonstration. Videos of accepted demo papers will be played (with no sound) during breaks and demo sessions to increase visibility. In case of a strictly virtual conference: The demos will have predefined slots in the program for interactive (Q&A) sessions. In addition, the videos will be available for all conference registrants throughout the conference. Submissions should be made through the Demo track submission system at: https://easychair.org/conferences/?conf=aamas22demo Selection Process The submission and selection process for the AAMAS 2022 Demos will be separate from that of the main conference. Each submission will be assessed by the Demos Program Committee. The authors will receive a brief evaluation report with the notification. The evaluation criteria are: Relevance to the AAMAS conference Significance and originality Video content and presentation Maturity and readiness of the demonstration Potential for public interaction Potential impact in the intended application domain Potential interest to a broader audience Demonstration Chairs Noa Agmon (Bar-Ilan University, Israel) Mubbasir Kapadia (Rutgers University, USA)

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[meetings] First call for proposals for Special Sessions, Workshops and Tutorials at the 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022)
by Alessandra Rossi 30 Oct '21

30 Oct '21

Dear colleagues, Apologies for any cross-posting Please find attached below the first call for proposals for Special Sessions, Workshops and Tutorials at the 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022) that will be held in Naples (Italy) on August 29th - September 2nd, 2022. More information can be also found on the website and social media: http://ro-man2022.org IG: @ieeeroman2022 Twitter: @ROMAN2022ieee Facebook: @ieeeroman2022 For any questions and further information about the Special Session and Workshop/Tutorial proposal, please email workshop(a)roman2022.org or contact info(a)roman2022.org. Kindest regards, Alessandra Rossi, Minsu Jang and Tariq Iqbal Publicity Chairs Dr. Alessandra Rossi Postdoctoral researcher PRISCA research lab University of Naples Federico II, Naples, Italy Visiting Researcher Fellow of the Higher Education Academy Adaptive Systems Research Group University of Hertfordshire, United Kingdom ================================================================================== *** FIRST CALL FOR SPECIAL SESSIONS, WORKSHOPS, AND TUTORIALS *** 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022) August 29th - September 2nd, 2022 Naples, Italy http://ro-man2022.org IG: @ieeeroman2022 Twitter: @ROMAN2022ieee Facebook: @ieeeroman2022 ================================================================================== The RO-MAN2022 Organising Committee invites proposals for Special Sessions, Workshops and Tutorials to be held during the 31st IEEE International Conference on Robot & Human Interactive Communication in Naples, Italy from August 29th to September 2nd, 2022. The RO-MAN conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed. The conference covers a wide range of topics related to Robot and Human Interactive Communication, involving theories, methodologies, technologies, empirical and experimental studies. Proposals related to the study of robotic technology, psychology, cognitive science, artificial intelligence, human factors, ethics and policies, interaction-based robot design and other topics related to human-robot interaction are welcome. This year's theme is “Social, asocial, and antisocial robots”. One of its goals is to explore how to create robots that are capable of being welcomed as our assistants and companions in society while, at the same time, not being perceived as “asocial” or “antisocial”. A second aim is to understand how we can create robots perceived as facilitators of the natural development of human beings and communities, rather than obstacles. PROPOSAL SUBMISSION DEADLINES SPECIAL SESSIONS DEADLINE: JANUARY 10, 2022 WORKSHOPS/TUTORIALS DEADLINE: JANUARY 10, 2022 SPECIAL SESSION PROPOSALS Prospective special session organisers are invited to submit a proposal via the main conference's submission system. The organisers of the accepted special sessions will be responsible for the high-quality peer-review of the submitted papers according to IEEE standards (i.e. at least 2 anonymous peer-reviews). The organisers will be Associate Editors (AE) for the proposed session, and they will be responsible for assigning reviewers and judging the submitted paper for the special session. Proposals should include the following information: • Title: Please propose a title that shows the relevance of the session for the RO-MAN community and the innovativeness of the proposed topic. • Aims and scope: Please explain why the chosen topic is novel and relevant, with the potential to contribute to the growth of the RO-MAN community, and is also suitable for either the conference theme or a new emerging theme with potentially high impact. • Tentative speakers: Please provide a list of prospective contributing authors and tentative titles. Special Sessions are normally expected to have 4 to 6 papers. Invited speakers or session-related demonstrations (such as renowned speakers or industrial talks) could be a part of the Special Session. • Organisers and biographies: Please provide a short bio-sketch of the session organisers including their experience in the topic of the Special Session. The guidelines to submit a special session proposal are available at the Special Session section on the RO-MAN 2022 website or by clicking on this link. WORKSHOPS and TUTORIALS PROPOSALS Workshops and tutorials should focus on key areas of established and emerging research, and should provide a forum for participants to exchange new ideas and discuss recent results. We encourage proposals for topics that have substantial community interest, with a creative and innovative program, led by recognised leaders in their fields, that will attract a broad and diverse audience. Organisers of approved workshops and tutorials will be asked to create and maintain a dedicated webpage, which will be used to promote the workshop/tutorial, and disseminate relevant and updated information. Proposals should include the following information: • Title • Format (indicate full or half day, tutorial or workshop) • Main organiser (one person only, complete address, phone, and email) • Co-organisers (complete address, and email) • Previous editions (if any) • Statement of objectives • Intended audience • List of speakers • List of topics • Plan to solicit participation • Workshop organisation • Plan for inclusion, diversity and equity The guidelines to submit a workshop/tutorial proposal are available at the Workshop and Tutorial section on the RO-MAN 2022 website or by clicking on this link. ================================================================================== The primary criteria in the evaluation of special session and workshop/tutorial proposals will be the timeliness of the topics, the quality, track record, and diversity of the proposers and speakers, the coherence of the proposal, the novelty or creativity, and the expected value added to the overall conference. Aspects of diversity that will be considered include the age, gender, national origin, background, and workplace of the proposers and speakers. We will give priority to proposals that fully follow these requirements. Moreover, we encourage the submission of workshops, tutorial and special sessions organized by communities that are under-represented within the RO-MAN activities. For any questions and further information about the Special Session and Workshop/Tutorial proposal, please email workshop(a)roman2022.org or contact info(a)roman2022.org. SPECIAL SESSION CO-CHAIRS JongSuk Choi, Korea Institute of Science and Technology (KR) Mariacarla Staffa, University of Naples Parthenope (IT) Kerstin Haring, University of Denver (USA) TUTORIAL / WORKSHOP CO-CHAIRS Amir Aly, University of Plymouth (UK) Daniel Riccio, University of Naples Federico II (IT) Raquel Ros, La Salle - Universitat Ramon Llull (ES)

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IEEE TNNLS Call for Special Issue on "Stream Learning", Submission Deadline: December 15, 2021 [EXTENDED]
by Pub Conference 28 Oct '21

28 Oct '21

*CALL FOR PAPERS* *IEEE Transactions on Neural Networks and Learning Systems Special Issue on STREAM LEARNING* https://cis.ieee.org/images/files/Publications/TNNLS/special-issues/One-Pag… *Introduction* In recent years, machine learning from streaming data (called *Stream Learning*) has enjoyed tremendous growth and exhibited a wealth of development at both the conceptual and application levels. Stream Learning is highly visible in both the machine learning and data science fields, and become a new hot direction in recent years. Research developments in Stream Learning include learning under concept drift detection (whether a drift occurs), understanding (where, when, and how a drift occurs), and adaptation (to actively or passively update models). Recently we have seen several new successful developments in Stream Learning such as massive stream learning algorithms; incremental and online learning for streaming data; and streaming data- based decision-making methods. These developments have demonstrated how Stream Learning technologies can contribute to the implementation of machine learning capability in dynamic systems. We have also witnessed compelling evidence of successful investigations on the use of Stream Learning to support business real-time prediction and decision making. In light of these observations, it is instructive, vital, and timely to offer a unified view of the current trends and form a broad forum for the fundamental and applied research as well as the practical development of Stream Learning for improving machine learning, data science and practical decision support systems of business. This special issue aims at reporting the progress in fundamental principles; practical methodologies; efficient implementations; and applications of Stream Learning methods and related applications. The special issue also welcomes contributions in relation to data streams, incremental learning and reinforcement learning in data streaming situations. Scope of the Special Issue We invite submissions on all topics of Stream Learning, including but not limited to: • *Data stream prediction* • *Concept drift detection, understanding and adaptation* • *Recurrent concepts* • *Experimental setup and Evaluation methods for stream learning* • *Reinforcement learning on streaming data* • *Streaming data-based real-time decision making* • *Ensemble methods for stream learning* • *Auto machine learning for stream algorithms* • *Neural networks for big data streams* • *Transfer learning for streaming data* • *Real-world applications of stream learning* • *Active learning for streaming data* • *Online learning for streaming data* • *Imbalance learning for streaming data* • *Lifelong learning for streaming data* • *Incremental learning for streaming data* • *Continuous learning for streaming data* • *Clustering for streaming data* • *Audio/speech/music streams processing* • *Stream learning benchmark datasets* • *Multi-drift and multi-stream learning* • *Stream processing platforms* Timeline • Submission deadline: *Dec 15, 2021* • Notification of first review: March 1, 2022 • Submission of revised manuscript: Jun 1, 2022 • Notification of final decision: Aug 1, 2022 Guest Editors • Jie Lu (University of Technology Sydney, Australia) • Joao Gama (University of Porto, Portugal) • Xin Yao (Southern University of Science and Technology, China) • Leandro Minku (University of Birmingham, UK) Submission Instructions - Read the Information for Authors at http://cis.ieee.org/tnnls <http://cis.ieee.org/tnnls> - Submit your manuscript at the TNNLS webpage (http://mc.manuscriptcentr <http://mc.manuscriptcentral.com/tnnls)>al.com/tnnls) <http://mc.manuscriptcentral.com/tnnls)> and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to this special issue. Early submissions are welcome.

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[jobs] Research Engineer Position, Robotic Arm Control & Simulation - University of Potsdam, Germany
by Maike Paetzel-Prüsmann 27 Oct '21

27 Oct '21

# Research Engineer Position, Robotic Arm Control & Simulation, University of Potsdam Conditional on the final funding decision by the funding body, applications are invited from suitably qualified candidates for a nine-month research engineer position starting as soon as possible (not later than February 2022) with the "Computational Linguistics Lab Potsdam (colabPotsdam)" (headed by Prof. David Schlangen) at the University of Potsdam, Germany. The positions is 40 hours of work per week (100%). The salary is determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost). The duration of the contract is for nine month (in accordance with Section 2 subsection 1 of the German Academic Fixed-Term Contract Law (WissZeitVG)). ## Job description The position will be part of an upcoming research project on enabling industrial robots working together with humans (cobots) to use spoken conversations to learn new collaborative task. The goal is to build upon a robotic system which has basic capabilities of grasping and manipulating objects and extend it with the possibility of learning new and advanced tasks from spoken instructions as well as visual reference resolution. As a research engineer, your responsibility is to set up the framework for the robotic arm controller, both in simulation and, in cooperation with the industrial partner Synergetion GmbH, in the lab environment. The control of the robot arm will be implemented using ROS and the Open Source software Webots will be used for the 3D simulations. ### Requirements * A Master's or PhD degree in Computer Science, Robotics or related fields (defended by start of contract) * Experience with ROS or ROS2 * Experience with a simulation software, ideally Webots * Strong programming skills in Python * Proficiency in working with git * The working language of the group is English. Very good spoken and written command of English is required. Experience in one or more of the following fields / technologies is desirable: robot programming, C++, computer vision, CAD-Software, 3D modelling, robot arms, industrial robots. ## The place The beautiful city of Potsdam is surrounded by rivers and lakes and supports a wide variety of recreational activities. It is part of the Berlin metropolitan area, one of the cultural and scientific capitals of the world. The city of Berlin is within commuting distance, and many researchers and students choose to live there. The region offers a high quality of urban life at comparatively still modest costs. Handicapped applicants will be given preference in case of equal suitability. The University of Potsdam strives to increase the proportion of women in research and teaching and specifically encourages female applicants to apply for this position. ## Applications Deadline: The position remains open until filled with a suitable candidate To apply, send the following documents as a single PDF: * Statement of interests that motivates your application * Curriculum vitae * If available, coding samples or links to your contributions to public code repositories * Scans of transcripts and academic degree certificates * The names, affiliations, and contact details of up to three people who can provide reference letters for you. Address for applications and queries: david.schlangen(a)uni-potsdam.de -- Dr. Maike Paetzel-Prüsmann Postdoctoral Researcher Foundations of Computational Linguistics Laboratory University of Potsdam, Germany Pronouns: she / her More information: https://www.maike-paetzel.de/

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