Lule Ahmedi, Dr. Ing. EDUCATION. Aug -. April Doctoral studies in computer science at Albert-Ludwigs-Universität Freiburg,. Germany – Department. University of Prishtina, Faculty of Electrical and Computer Engineering. Internet, Winter Instructor. Prof. Dr. Lule Ahmedi Consultation hours. Lule Ahmedi’s 36 research works with citations and reads, including: ViziTo: A system for recommending touristic Points of Interest using Bimodal.
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For more information, please read my short Bioor my detailed CV. Five students of University of Prishtina, Computer Engineering Department, among best students in their generation: Lule Ahmedi at UP. Ahmedi was among invitees in this meeting which aimed to bring together womens involved in science and innovation in Kosovo, and share their experiences and impression of the role of women in country with regards to research and innovation.
An AI agent was implemented in the Reversi game which can beat professional players. Different AI algorithms for games were adapted, such as Minimax, Negamax, or Negascout, with alpha beta pruning, and compared for their efficiency. Finally briefed on recent algorithms: Integration of an artificial intelligence AI agent into the “Contact” game which uses ahemdi proper AI algorithm among several of them existing was considered.
The focus was on algorithms computing similarities between words. Artificial neural networks feedforward and recurrent neural nets resulted to be promising. This bachelor thesis is an overview of research papers and different domains of recommender systems.
It outlines the different approaches and compares them by means of specifically introduced dimensions, impact and limitations, and it also discusses evaluation metrics and methodologies that measure performances and attributes of these recommender systems. For more details, please see the complete Bachelor thesis.
This was the 5th edition of this nationalwide awarding contest in the field of ICT with nominees mainly from Kosovo, Albania, and Macedonia. Ahmedi was nominated by her home institution, University of Prishtina, for the award. Cooperation of the group at University of Prishtina led by prof. Ahmedi with the Gjirafa Inc. It all started with prof. Ahmedi being invited as a mentor for the startup factory Gjirafa Lab.
Then a visit from UP, Prof. As the result, a cooperation on a certain common research topic of interest is under way and subject to further extension. The MoU aims to promote cooperation between the two institutions in education and in academic research.
Georg Lausen and Prof. Lule Ahmedi who initiated and pushed forward the MoU agreement. Rector of University of Freiburg Prof.
Marjan Dema, as well as deans of the respective faculties were very supportive and finalized the agreement. The arrangements to finally signing the MoU, from drafting to its final version, were made possible for the University of Freiburg by Dr. The seminar was organized by Prof. They had the unique chance to hear ahmesi latest on the actual topics of data science from presentations by guest speakers from University of Freiburg, as ahmddi as from Skopje University and South-East European University in Macedonia.
Here the complete agenda of the seminar. University dialogue and cooperation between Germany and Kosovo in IT capacity building ” led by Prof. Lule Ahmedi from the University of Prishtina, a group of 11 students, of whom 3 Doctoral students, 5 Master students and 3 Bachelor students, had the opportunity to be part of a study visit to the ”Albert Ludwigs University of Freiburg” in Freiburg, Germany, from 11th to 18th of June During the visit, the group of students’ from Kosova, had the opportunity to attend lectures, as well as meet and discuss about scientific collaborations that will follow the project with the group of researchers and PhD students from the team of prof.
Georg Lausen, at the same time the project leader of project from the ”Albert Ludwigs University of Freiburg”. It is worth emphasizing the warm hospitality, ahmsdi readiness of the staff from the University of Freiburg for future scientific cooperation and academic capacity building in the field of IT in Ahmeddi. In addition to the academic activities, other visits were organized, such as the visit at the Fraunhofer Institute, the software company Telocate GmbH, a stroll in St.
Ottilien natural recreationthe University Museum, the city of Freiburg and the city of Strasbourg in France. The students that participated in this study visit are: The idea is to initially develop a mobile system to monitor drinking water and report cases with diarrhea in certain regions in Kosovo here the thesis description. That would include gathering health data together with geolocation data, their processing, as well as develop techniques for their vizualization and reporting.
Finally, the evaluation of the approach shall follow. In long terms, the cooperation aims to aid the Kosovo NPHI working with data from terrain through digitalization of their services, i.
The support for cooperation has been confirmed in the meetings Prof. Naser Ramadani arranged by Msc. Dafina Gexha-Bunjaku, also affiliated to the insitute and pushing forward the cooperation together with Prof.
Arianit Kurti from Lnu Sweden. This is the first time the Albanian Symposium on Computer Sciences to occur where researchers and PhD students, whom are from Kosovo or Albania working abroad, were able to present here the agenda their research to the ICT community in Kosovo.
As a host of the event professor Lule Ahmedi said in her opening speech, ” The preparations for this Symposium have long started together with colleagues from Vienna University of Technology, Priv. This event is very important for the role it should play for science and development here in Kosovo “. Ahmedi said that she is thankful to Ministry of Diaspora and the UP for their support to organize this event. It is considered to be a great step for the partnership between researchers, who are working in Kosovo, Albania, and Macedonia, and those from abroad who came to present their scientific research.
Here is the video demonstrating the usage of our StreamJess system, and here the accepted paper. This bachelor thesis treats the case of developing a modest search engine in domain of online shopping E-Commerce.
The main purpose of this system is to find and to represent products which are retrieved from shopping web stores based on search terms entered from users. Dear Colleague, since months now together with our student who has meanwhile graduated, MSc. Dardan Shabani, we are conducting a research study related to query recommendation, i.
Part of this study is the evaluation by potential users of the innovative query recommender system we developed, namely Qrecco. We would therefore like to ask you to take 2 minutes of your valuable time to participate on this Qrecco evaluation survey following the instructions below:.
At Qrecco link, you shall first register by clicking on New user? You are not required to provide your name or any other identity data – your participation on this evaluation is completely anonymous. Afterwards you will be redirected to the survey form with query recommender, were you will be asked to make 5 attempts on searching with different keywords, and on each attempt to also evaluate our Qrecco system for the queries that will be recommended to you.
In case of questions related to this survey, contact us at dd. Lule Ahmedi has been invited again this year for “Times Higher Education World University Rankings” as a representative of the country and the field of expertise. The input on ranking universities world-wide and in the region Prof. Ahmedi provided through the Academic Reputation Survey questionarie.
In order to bring new practices in technology enhanced learning, an e-Learning tool named NormalDB to learn database normalization has been launched on The tool developed by a team led by Prof.
Besmir Sejdiu, Teaching Assistant in the Databases course.
Lule Ahmedi – The Mathematics Genealogy Project
Initial assessment by students, their online feedback on the benefits of using such a tool to learn database normalization motivates the tool gets further maintained and advanced to meet the students’ needs on learning the topic through the tool.
Lule Ahmedi has arranged signing the agreement, and will be in ahmdi to coordinate the project on behalf of University of Prishtina.
In Julya promotion closing event of the InWaterSense project inwatersense.
Lule Ahmedi took place at University of Prishtina with over participants. Main stakeholders of both water and ICT domain from academia, businesses, policy-makers, participated at the event.
Results of the project were disseminated by young staff and students of UP right-side photo: Click here to access the Water Portal developed, which provides in real-time every 10 min and over distance raw water quality data of Sitinca river measured through wireless sensors deployed in Sitnica. This is a selected list of publications. A shift in water monitoring approach from traditional grab sampling to novel wireless sensors is gaining in popularity not only among researchers but also in the market.
These latest technologies readily enable numerous advantageous monitoring arrangements like remote, continuous, real-time, and spatially-dense and broad in coverage measurements, and identification of long-term trends of parameters of abmedi.
It is one of the first state of the art technology demonstration systems of amedi kind in the domain of water monitoring lulee developing countries like Kosovo. Water quality datasets are transmitted at pre-programmed intervals from sensing stations deployed in the river to the server at university via the GPRS network. Data is then made available through a portal to different target llule policy-makers, water experts, and citizens.
Nowadays with the raised necessity to serve data through the Web in a rather Linked Data model similar to the way DBpedia extracts structural information from Wikipedia, it is becoming usual to require existing data provided as tables to get mapped into RDF. In this paper, a straightforward alternative to mapping of data from relational database model to RDF is introduced.
The mapper has not lle reached its maturity but nevertheless, reduces greatly the amount of time needed for conversion. Furthermore, it allows the user to select parts that are needed for conversion, thus preventing from the unnecessary conversion. ViziTo is a system which recom-mends a touristic POI for a tourist, based on bimodal social network analysis SNA and its specific metrics.
Ahmsdi Internet of Things IoT vision is to connect uniquely identifiable devices that surround us to the Internet, which is best described through ontologies. Thereby, new emerging technologies such as wireless sensor networks WSN are recognized as an essential enabling component of the IoT today. Hence, given luel increasing interest to provide linked sensor data through the Web either following the Semantic Web Enablement SWE standard or the Linked Data approach, there is a need to also explore those data for potential hidden knowledge through data mining techniques utilized by a domain ontology.
Lue supports linking sensors and other devices, as well as people via a single web by mean of a device-person-activity DPA crossroad ontology. The architecture is validated by mean hamedi three ahmrdi services: SEMDPA could be easily extensible to capture semantics of input sensor data from other domains as well. With the progressive role of computers and theirusers as actors in social networks, computations alikesocial network analysis SNA are gaining in attention.
This work proposes an approach based on SNA, not alone on social networks as supported by existing approaches, to estimate the tourists’ satisfaction with individual Points of Interest POIsand accordingly recommend those POIs or not to that tourist or its tour planning system. Moreover,instead of a common unimodal network, a bimodal tourist-reviewer network is modeled as suggested by the SNA literature given tourists and POI reviewers act as two distinct classes of entities with links between them representing their dis similarities.
Both tourists and reviewers provide their personal attributes like agebut reviewers then providing preferences for speci? Further, an algorithm for grouping into ”islands” of most similar reviewers to a certain tourist given the strength of corresponding links in the bimodal network is developed.
Additionally, a ranking algorithm based on in-degree or authority centrality is adopted to identify the ahmmedi ranked reviewers within the island aymedi recommend their preferred POI s to a given tourist. If there are more than single POIs preferred per reviewer, and lu,e remain more than requested POIs of the highly ranked reviewers to select among for lile, a similar centrality algorithm is applied over a reviewer-POI network with links representing a certain reviewer prefers that certain POI.