University of Prishtina, Faculty of Electrical and Computer Engineering
Prof. Dr. Ing. Lule Ahmedi
Dr. Lule Ahmedi is full professor at the University of Prishtina, Kosova, Faculty of Electrical and Computer Engineering, where she joint in 2005. She received her PhD in 2004 in computer science from University of Freiburg, Germany, where she was from 1999 to 2004 employed as teaching / research staff. She has published papers in renowned international venues in the areas of Semantic Web, Social Network Analysis, XML and Databases, and Information Integration, and is currently also interested in Information Retrieval, Recommender Systems, and Stream Data Mining. For more information, please read my short Bio, or my detailed CV.
Master student at University of Prishtina (UP), Nita Mulliqi is conducting her thesis research at Norwegian University of Science and Technology (NTNU) in Gjovik, Norway, as part of an Erasmus+ mobility grant by EU. Indicated work is accomplished under the supervision of Prof. Dr. Lule Ahmedi at UP in conjunction with Prof. Dr. Sule Yildirim, Prof. Dr. Hao Wang and Prof. Ahmed Kedir at NTNU.
Research area is focused on the rapidly developing field of computer vision, and its utilization in extensive medical data in order to provide accurate diagnosis and prediction of cancer disease. The aim is to develop an intelligent system which will be able to identify cancer in human colon as well as it will act ethically and legally correct corresponding to this matter. Using advanced deep learning architectures, the system will conduct medical image segmentation and classification tasks in order to detect whether data provided indicates cancer or non-cancer input. Data being used from the system are images extracted from videos of colonoscopy screening technology. Colonoscopy videos are provided from "ASU-Mayo Clinic Colonoscopy Video Database" as the largest database with sets of colonoscopy videos. These videos are collected and re-identified at the Department of Gastroenterology at Mayo Clinic in Arizona, US.
A Deep Learning master thesis work in cooperation with University of Freiburg resulted to a publication "Detecting Biased News Articles Using Convolutional Neural Networks" presented at SemEval@NAACL-HLT 2019 in Minneapolis, USA.
The project began as a solution for the Task 4 of the international competition for computational semantic analysis called SemEval-2019. The task is, given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. The automatic news classifier, which is based on a Deep Learning model and uses Convolutional Neural Networks (CNN) to detect the articles features, is developed by Master student of the University of Prishtina, Agon Qurdina, under the lead of Prof. Dr. Lule Ahmedi from University of Prishtina and Dr. Michael Färber from University of Freiburg. As part of the competition, the project was granted the right to be presented at the SemEval workshop in the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), which is held in Minneapolis, USA, June 2-7, 2019.
Five students of University of Prishtina, Computer Engineering Department, among best students in their generation: Natyra Ferati, Donat Imeri, Endrit Mziu, Rijad Gerguri and A. Zariqi are attending a semester at Norwegian University of Science and Technology in Gjövik (NTNU Gjövik).
They went to Norway, as part of the exchange program within the Erasmus+ Mobility project implemented in coordination between our university and NTNU Gjövik, Norway, and coordinated by Prof. Lule Ahmedi at UP.
After an exemplary work as a reviewer for the prestigious International Journal on Semantic Web and Information Systems (IJSWIS), Dr. Eliot Bytyēi of UP was offered the position of a member to the editorial review board, by IJSWIS managing editors. It should be noted that the IJSWIS journal publishes high quality scientific papers in the field of Semantic Web, and has in its editorial board researchers among the most eminent in the field. IJSWIS is indexed in the Web of Science database.
Five students of University of Prishtina, Computer Engineering Department, among best students in their generation: Besnik Kelmendi, Uran Hajzeraj, Nehar Jashari, Gresa Dodaj, and Etnik Gashi are attending a semester at Norwegian University of Science and Technology in Gjövik (NTNU Gjövik).
They went to Norway on August 2018 where they are attending the winter semester at NTNU Gjövik until December 2018, as part of the exchange program within the Erasmus+ Mobility project implemented in coordination between our university and NTNU Gjövik, Norway, and coordinated by Prof. Lule Ahmedi at UP.
U.S. Ambassador to Kosovo Greg Delawie hosted a meeting in honor of International Women and Girls in Science Day, February 13th. Prof. 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.
On 22nd of December 2017, student Fjolla Mahmutaj defended her Bachelor Thesis titled: "An AI agent in the Reversi/Othello game"
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: transposition tables with zobrist keys, memory-enhanced test algorithms, opening books and extensions.
On 29th of December 2017, student Aida Aliu defended her Bachelor Thesis titled: "Artificial intelligence for the Contact game"
Integration of an artificial intelligence (AI) agent into the "Contact" game which uses a 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.
On 27th of December 2017, student Altina Spahija defended her Bachelor Thesis titled: "Studim rreth sistemeve rekomanduese tė punimeve shkencore" (eng. "A survey on paper recommendation systems")
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.
Professor Ahmedi is the recipient of the Albanian ICT Awards in the category "Academician of the Year" in Tirana, May 2017 (video stream presented in the award ceremony). This award recognizes an individual for his/her contribution in advancing the profession through academic excellence. This was the 5th edition of this nationalwide awarding contest in the field of ICT with nominees mainly from Kosovo, Albania, and Macedonia. Prof. 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. which is mostly know for its Albanian Search Engine gjirafa.com has just recently been initiated.
It all started with prof. Ahmedi being invited as a mentor for the startup factory Gjirafa Lab. Then a visit from UP, Prof. Lule Ahmedi and Dardan Shabani, together with delegation from University of Freiburg, Prof. Georg Lausen, Dr. Rainer Giersiepen, and Anthony Ayala, to Gjirafa Inc. hosted by Mėrgim Cahani (Founder & CEO) and Diogjen Elshani (Co-founder & CEO) followed, brainstorming on ideas of possible cooperation. As the result, a cooperation on a certain common research topic of interest is under way and subject to further extension. The visit from University of Freiburg was supported by the DEKOS-IT project founded by DAAD.
As part of the project "DEKOS-IT: University dialogue and cooperation between Germany and Kosovo in IT capacity building", a Memorandum of Understanding (MoU) was signed between Albert-Ludwigs-Universität Freiburg, Faculty of Engineering, and University of Prishtina "Hasan Prishtina", Faculty of Electrical and Computer Engineering. The MoU aims to promote cooperation between the two institutions in education and in academic research.
It were Prof. Georg Lausen and Prof. Lule Ahmedi who initiated and pushed forward the MoU agreement. Rector of University of Freiburg Prof. Dr. Hans-Jochen Schiewer and Rector of University of Prishtina Prof. Dr. 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. Rainer Giersipen, Academic Director of the Faculty of Engineering, and for University of Prishtina, Prof. Ass. Teuta Pustina, the Vice-Rector for International Relations. The event was supported by the DEKOS-IT project founded by DAAD
Following the most recent trends on Data Science emerging as a discipline heralding the transformation of society in multiple of domains, a Data Science Seminar was held at the Faculty of Electrical and Computer Engineering (FECE) of UP. The seminar was organized by Prof. Lule Ahmedi assisted by Korab Rrmoku and supported by the dean of FECE, Prof. Enver Hamiti. Participants were academic staff in Computer Engineering of FECE, and some 30 students of the Databases and Artificial Intlligence study program. They had the unique chance to hear the latest on the actual topics of data science from presentations by guest speakers from University of Freiburg, as well as from Skopje University and South-East European University in Macedonia. Here the complete agenda of the seminar. The event was supported by the DEKOS-IT project founded by DAAD.
As part of the project "DEKOS-IT: 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 2017.
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, and readiness of the staff from the University of Freiburg for future scientific cooperation and academic capacity building in the field of IT in Kosova.
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 recreation), the University Museum, the city of Freiburg and the city of Strasbourg in France.
The students that participated in this study visit are: Eliot Bytyēi, Korab Rrmoku, Artan Mazrekaj, Gresa Halimi, Arbėr Berisha, Fisnik Alidemi, Blerta Likaj, Vigan Adburrahmani, Gresa Shala, Vigan Maxhera and Rinor Haziri. The DEKOS-IT project including this study visit are supported by the "East-West Dialogue: University dialogue with the countries of western Balkan" program of DAAD.
The thesis work will be driven in cooperation with National Public Health Institute (NPHI) of Kosovo and Linnaeus University, Sweden (Lnu). 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.e., increase of efficiency in data gathering, processing, vizualization, and reporting. The support for cooperation has been confirmed in the meetings Prof. Lule Ahmedi had with the director of the Kosovo NPHI, 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.
On the 28th of December 2016 the Faculty of Electrical and Computer Engineering at University of Prishtina "Hasan Prishtina" (UP) was able to host academics/researchers in Computer Science of Kosovar and Albanian origin who are working in western European countries such as Germany, Sweden, Italy, Austria, France, and in USA. 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.-Doz. Dr. Nysret Musliu and PhD students Labinot Bajraktari and Shqiponja Ahmetaj, as well as with PhD student Eliot Bytyçi from UP. This event is very important for the role it should play for science and development here in Kosovo". Additionally, Prof. Ahmedi said that she is thankful to Ministry of Diaspora and the UP for their support to organize this event.
The presentations in the Symposium were related to Machine Learning, Digitalization of Society, Cyber-Physical Systems, Privacy in Mobile Systems, Influence of Technology on Our Reality, Communication Technologies for Internet of Things, Big Data, etc. 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. All participants, among them hundreds of students whose major is related to computer science/engineering, were certainly satisfied with presentations and discussions, and able to express their gratitude about this opportunity they had been given.
Five students of University of Prishtina, Computer Engineering Department, among best students in their generation: Vigan Maxhera, Gresa Shala, Florim Hamiti, Gent Rexha, and Valentina Shabani are attending a semester at Norwegian University of Science and Technology in Gjövik (NTNU Gjövik).
They went on Norway during August 2016, where they have started attending the winter semester at NTNU Gjövik, until December 2016, as part of the exchange program within the Erasmus+ Mobility project implemented in coordination between our university and NTNU Gjövik, Norway, and coordinated by Prof. Lule Ahmedi at UP.
On 21st of Spetember 2016, student Vigan Abdurrahmani defended his Bachelor thesis titled "Zhvillimi i një makine kërkuese për domenin e blerjes online" (eng. "The development of search enginge for online shopping").
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.
For more details, please see the complete Bachelor thesis.
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.e., to suggesting keywords while using search engines like Google or Bing. 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:
1. At Qrecco link, you shall first register by clicking on New user? Note: You are not required to provide your name or any other identity data - your participation on this evaluation is completely anonymous.
2. 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 firstname.lastname@example.org
We sincerely appreciate your participation to this evaluation survey! Dr. L. Ahmedi
Prof. Lule Ahmedi has been invited again this year for 2016-17 "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.
The personal web page of Prof. Lule Ahmedi has been launched, and can be accessed via luleahmedi.uni-pr.edu
This web page will contain all information and updates regarding academic engagement of Prof. Ahmedi and her team.
In order to bring new practices in technology enhanced learning, an e-Learning tool named NormalDB to learn database normalization has been launched on 13.01.2016 as part of the Databases course taught by Prof. Lule Ahmedi.
The tool developed by a team led by Prof. Lule Ahmedi (see the latest NormalDB paper at Google Scholar) is being maintained and arranged for usage by students by MSc. Besmir Sejdiu, Teaching Assistant in the Databases course. 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.
5 students of University of Prishtina, Computer Engineering Department, among best students in their generation: Bardh Shabani, Albiona Berisha, Granit Bimbashi, Brikena Çelaj, and Gresa Mjeku arrived safely at Norwegian University of Science and Technology in Gjövik (NTNU Gjövik).
They have just started attending the winter semester at NTNU Gjövik as part of the exchange program within the Erasmus+ Mobility project implemented in coordination between our university and NTNU Gjövik, Norway, and coordinated by Prof. Lule Ahmedi at UP.
Prof. Lule Ahmedi visited Linnaeus University in Växjö, Sweden, 14-18 December 2015, in support of joint activities:
Prof. Lule Ahmedi is invited to hold a talk at the national conference for the Horizon 2020, the EU Framework Programme for Research and Innovation. Her talk was on "ICT-KOSEU - An FP7 Project @ UP Experience".
Prof. Lule Ahmedi has arranged signing the agreement, and will be in charge to coordinate the project on behalf of University of Prishtina.
In July 2015, a promotion closing event of the InWaterSense project (inwatersense.uni-pr.edu) headed by Prof. Lule Ahmedi took place at University of Prishtina with over 100 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): Besmir Sejdiu, Eliot Bytyçi, Astrit Salihu, Dardan Jashari, Drita Laura Hyseni, Valmir Morina, Adhurim Hajzeraj, Ekrem Hajredini, Mendim Mestani, Arnold Plakolli, Admir Kadriu, Vlerar Shala, and Valon Xhafa.
in order to promote the advancement of youth in both sectors for a better future to Kosovo, as well as to point out the capacity building achieved through the project in human resources, especially of students at UP first-hand. Members from the EU partner universities in the project did also briefly present their view related to the project results and expected impact to the R & D in Kosovo, especially in two focus fields, environment and ICT, covered by the project.
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.
Prof. Ahmedi has arranged signing the agreement, and will be in charge to coordinate the project on behalf of University of Prishtina.
University of Prishtina, Faculty of Electrical and Computer Engineering
South East European University, Computer Science
Albert-Ludwigs-University of Freiburg, Germany, Department of Databases and Information Systems
Albert-Ludwigs-University of Freiburg, Germany, Databases and Information Systems.
University of Prishtina, Faculty of Electrical and Computer Engineering, Informatics and Telecommunications.
The award Six winners of the Western Balkan Countries ICT Idea Competition, organized by the EU FP7 ICT-WEB-PROMS project, ICT Event 2010, Brussels, Belgium, 27 - 29 Sept., 2010.
Research grant for a one year research stay at a German university.
Awarded by the Academic Senate of University of Prishtina.
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 interest. Thus, a WSN system is implemented in a river in Kosovo as part of the INWATERSENSE project to monitor its water quality parameters. It is one of the first state of the art technology demonstration systems of its kind in the domain of water monitoring in 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 groups (policy-makers, water experts, and citizens). Moreover, the INWATERSENSE system behaves intelligently like staying in line with water quality regulatory standards.
The final publication is available at IGI Global Publishing via https://doi.org/10.4018/IJAEIS.2018010103
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 yet 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.
Recommending the adequate point of interest (POI) for a specific tourist visiting a new place/city, remains still a challenge for all recommender systems that today exist, consider-ing the metrics that each system takes into consideration. ViziTo is a system which recom-mends a touristic POI for a tourist, based on bimodal social network analysis (SNA) and its specific metrics. In this demo, a web portal is presented, in which a user after registering or signing in as a tourist, given his/her personal profile (i.e., age, gender, etc.) and touristic preferences for a certain type or category (like nature, archaeology etc.), via its recommender algorithms will recommend to tourists' certain POIs.
The 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 the 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. Following that rationale, a new lightweight IoT architecture SEMDPA has been developed. It 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 of three rich-in-semantic services: contextual data mining over WSN, semantic WSN web enablement, and Linked WSN data. SEMDPA could be easily extensible to capture semantics of input sensor data from other domains as well.
The final publication is available at IGI Global Publishing via https://doi.org/10.4018/IJSWIS.2017070101
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 (POIs), and 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 age), but reviewers then providing preferences for speci?c POIs, whereas tourists only preferences for certain types or categories of POIs (say archeology). 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 highest ranked reviewers within the island and recommend their preferred POI s to a given tourist. If there are more than single POIs preferred per reviewer, and there remain more than requested POIs of the highly ranked reviewers to select among for recommendation, a similar centrality algorithm is applied over a reviewer-POI network with links representing a certain reviewer prefers that certain POI. The evaluation initially with an exemplary real-life experiment, and then extended to a massive online dataset from Foursquare, proves our approach as feasible inestimating the tourist's satisfaction with individual POIs. Moreover, it is already promising since incorporating location in?uence remains yet our future work and might further improve its performance.
The final publication is available at Springer via https://doi.org/10.1007/s13278-017-0431-8
The synergy of Data Stream Management Systems and Semantic Web applications has steered towards a new paradigm known as Stream Reasoning. The Semantic Web standards for knowledge base modeling and querying, namely RDF, OWL and SPARQL, has extensively been used by the Stream Reasoning community. However, the Semantic Web rule languages, such as SWRL and RIF, have never been used in stream data applications. Instead, di®erent non-Semantic Web rule systems have been approached. Since RIF is primarily intended for exchanging rules among systems, we focused on SWRL applications with stream data. This proves di±cult following the SWRL's open world semantics. To overcome SWRL's expressivity issues we propose an infrastructure extension, which will enable SWRL reasoning with stream data. Namely, a query processing system, such as C-SPARQL, was layered under SWRL to support closed-world and time-aware reasoning. Moreover, OWLAPI constructs were utilized to enable non-monotonicity, while SPARQL constructs were used to enable negation as failure. Water quality monitoring was used as a validation domain of the proposed system.
The final publication is available at World Scientifc Publishing via https://doi.org/10.1142/S1793351X17400165 © [copyright World Scientific Publishing Company] https://www.worldscientific.com/worldscinet/ijsc
Association rule mining as descriptive data mining category aims to find interesting patterns on data. The quality of the patterns is measured with two metrics: confidence and support. Especially in fields dealing with sensitive data, such as healthcare, the resulting patterns should be novel and interesting. To achieve that, not only the quality of the data itself should be superior, but also other additional attributes added, do support the results. That should be achieved by using Semantic Web technologies and thus enriching data used with semantic relations between properties. A hypothesis suggests that especially tackling property relations, chain property being part of the current version of the W3C Web Ontology Language (OWL), will yield better rules. To validate the hypothesis, experiments were performed on raw data, then on an older version of OWL, which does not support the chain properties and finally on the current version of language involving chain properties. Results obtained suggest that the latter produces novel rules with strong confidence and support, not encountered in former two experiments.
The recent proliferation of Massive Open Online Courses (MOOCs) has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education. Integrating MOOCs in blended learning can be beneficial in different ways for both learners and instructors. In this position paper, we aim to provide a brief and comprehensive review about the challenges that higher education institutions in Macedonia and Kosovo face while coping with the new trends of flexible or blended learning. Moreover, after describing some real cases of MOOC based flipped classroom learning, we also provide some recommendations in order to enhance and enrich learning experience by employing innovative pedagogies.
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Semantic technologies have been extensively used for integrating stream data applications. However, using SWRL, which has become the de facto standard rule language in Semantic Web, has never been used in stream data applications. Its open world assumption and monotonic nature makes SWRL powerless for doing continuous inference over stream data. For example, using aggregate functions on a particular window of streams cannot be expressed in SWRL. C-SPARQL is a framework which supports continuous querying over data streams. We introduce here C-SWRL, a unified Semantic Web stream reasoning system that further supports continuous reasoning over stream data. C-SWRL utilizes C-SPARQL filtering and aggregation of RDF streams to enable closed-world and time-aware reasoning with SWRL rules. Moreover, the non-monotonic behavior is supported with the use of OWLAPI constructs. The system is presented by means of examples in water quality monitoring.
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Along with general search engines which search the entire web, vertical search engines that are rather focused on specific domains of search have also gained in popularity in web search. In our case we are focused on domain of online shopping. We treat main processes of search engines which include crawling, indexing and query processing. Each process is developed based on general search engines and adapted to tackle the problems of the specified domain. Specifically, a search result ranking algorithm called Warehouse, which may be adapted to rank results of any specific domain, is introduced.
Recommending the adequate query in search engine for a specific user on the web is still a challenge even for recommender systems today with social networks incorporated. In this paper we present a query recommender that in addition to relying on similarity of the actual query posted by current user to queries in a query log in search engine, it also bases on social network analysis (SNA) to first find most similar users to the current user based on their profiles, and then recommend their most similar queries to current user. Calculation of the similarity of users follows an existing approach for Points of Interest (POIs) recommendation, which applies certain SNA ranking algorithms over concurrent users based on their social profiles in the login session.
Stream data knowledge bases modelled with OWL are a proved natural approach. But, querying and reasoning over these knowledge bases is not supported with standard Semantic Web technologies like SPARQL and SWRL. Query processing systems enable querying, but to the best of our knowledge, Semantic Web rules are still unable to handle the required reasoning features for effective inference over stream data, i.e. non-monotonic, closed-world and time-aware reasoning. In absence of such a system, we showed in our previous work how Jess can be used for monitoring water quality, but by bringing input data manually. In this paper, we enable stream data support and thus a timely detection of faulty water quality statuses by also extending our ontology with the pollutants module. C-SPARQL abilities to filter and aggregate RDF streams are utilised to enable closed-world and time-aware reasoning with Jess rules. Moreover, Jess Tab functions are used to enable non-monotonic behaviour.
The final publication is available at INDERSCIENCE Publishers via https://doi.org/10.1504/IJMSO.2016.10004248
This paper introduces StreamJess, a Stream Reasoning system that layers on top of a state of the art query processing system such as C-SPARQL to enable closed-world, non-monotonic and time-aware reasoning with Jess rules. The system is validated in the water quality monitoring domain by demonstrating water bodies - classification and pollution sources investigation.
The final publication is available at Springer via https://doi.org/10.1007/978-3-319-58694-6_15
Internet of Things (IoT) applications by means of wireless sensor networks (WSN) produce large amounts of raw data. These data might formally be defined by following a semantic IoT model that covers data, meta-data, as well as their relations, or might simply be stored in a database without any formal specification. In both cases, using association rules as a data mining technique may result into inferring interesting relations between data and / or metadata. In this paper we argue that the context has not been used extensively for added value to the mining process. Therefore, we propose a different approach when it comes to association rule mining by enriching it with a context-aware ontology. The approach is demonstrated by hand of an application to WSNs for water quality monitoring. Initially, new ontology, its concepts and relationships are introduced to model water quality monitoring through mobile sensors. Consequently, the ontology is populated with quality data generated by sensors, and enriched afterwards with context. Finally, the evaluation results of our approach of including context ontology in the mining process are promising: new association rules have been derived, providing thus new knowledge not inferable when applying association rule mining simply over raw data.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49157-8_6
Wireless sensor networks (WSNs) are aiding water quality monitoring with support for real-time and remote quality measurements in terrain. Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. However, the Web portal introduced here is essentially an integrated portal since it supports modeling and management of both, the observational stream data on water quality coming from wireless sensors - dynamic data, as well as of the data describing the WSN itself, its devices and the corresponding site allocation data - static data. Access is given to a wide range of individuals, from water experts to WSN engineers, to general public. Experts' module infers statistics about water parameters given the experts' data and rules. The portal is further distinguished for its level of scalability: it allows adding with ease new components, like add certain new regulatory documents for water quality, and directly compare data measured by sensors with corresponding quality standards. The aim is to enrich the portal with semantics in future.
The final publication is available at IGI Global Publishing via http://www.igi-global.com/article/an-integrated-web-portal-for-water-quality-monitoring-through-wireless-sensor-networks/153540
Semantic technologies have proved to be a suitable foundation for integrating Big Data applications. Wireless Sensor Networks (WSNs) represent a common domain which knowledge bases are naturally modeled through ontologies. In our previous works we have built domain ontology of WSN for water quality monitoring. The SSN ontology was extended to meet the requirements for classifying water bodies into appropriate statuses based on different regulation authorities. In this paper we extend this ontology with a module for identifying the possible sources of pollution. To infer new implicit knowledge from the knowledge bases different rule systems have been layered over ontologies by state-of-the-art WSN systems. A production rules system was developed to demonstrate how our ontology can be used to enable water quality monitoring. The paper presents an example of system validation with simulated data, but it is developed for use within the InWaterSense project with real data. It demonstrates how Biochemical Oxygen Demand observations are classified based on Water Framework Directive regulation standard and provide its eventual sources of pollution. The system features and challenges are discussed by also suggesting the potential directions of Semantic Web rule layer developments for reasoning with stream data.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24129-6_8
Author ranking is growing in popularity since search engines are considering the author's reputation of a Web page when generating search results. A question that naturally arises is whether we should rank authors on the Web as we rank Web pages by considering their links. In addition, over what links to actually calculate author ranking? We have adopted an extended FOAF ontology, the so-called Co-AuthorOnto ontology, able to represent authors, but also their co-author links on the Web. We further extended Co-AuthorOnto with PageRank and AuthorRank metrics for ranking authors based on their co-author links. Important to note is that both PageRank and AuthorRank are implemented in Semantic Web Rule Language (SWRL), which represents a novelty and fits well with the semantic modeling of authors and their co-author relationships within FOAF. Preliminary semantic ranking results are demonstrated, showcasing also the huge potential of this ranking approach for adopting it by search engines where our future work will focus.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-7091-1797-2_2
Although Semantic Web builds on well-established foundations and we are witnessing its expansion across multiple domains, the community has to-date been rather keen on building hybrid ontology-based water quality management systems. Our vision is to build a pure Semantic Web framework for effective management of water quality. In line with this, an SSN-based ontology for water quality management has been developed to support water quality classification based on different regulation authorities such as Water Framework Directive. A couple of case studies from surface waters and drinking waters have been used to illustrate the usability of the proposed ontology.
Information and Communication Technologies (ICTs) present the technological fundament of the information and knowledge based society. Kosovo has a chance to improve the wellbeing of its citizens through technology-enabled industries and services. Moreover, the results delivered by ICT R&D may be well used by many other disciplines of science and technology. In addition, ICTs are the main driving engine of innovation in a modern society, and as such should be given the attention they deserve.
Kosovo has recently improved in ICT performance. However, existing research infrastructure and resources are scarce, and investments should follow to support research in ICT. There is an urgent need for enabling technologies for building an information and knowledge based society.
The project "Co-ordination of Research Policies with the Western Balkan Countries" (wbc-inco.net), funded by the EU under the FP7 Programme, aims to contribute integration of the Western Balkan Countries into the European Research Area. As part of that project, this national background report on ICT research for the period 2009-2013 has been prepared.
The report first outlines the current ICT research environment in Kosovo, i.e., the local policy framework, fields of competencies in ICT research, the ICT sector trends, and the main socio-economic challenges that affect the R&D in ICT field. Involvement of Kosovo in EU research projects with an emphasis on ICT is then discussed, followed by a SWOT analysis of the ICT research capacity in Kosovo
Finally, the national background report introduces ICT research priorities on the basis of the country's readiness, as well as priorities on the basis of future potential. A summary of the consultation process conducted is also presented in the report. Although in a tight priority competition, 10 priorities were identified to represent the highest ICT research priorities of Kosovo for the period 2009-2013. For each priority, specific (socio-economic or other) objectives are defined, and a set of research topics per objective listed accordingly.
In terms of a wider objective, the national background report on ICT research is intended to contribute to the shaping of future research cooperation between EU and Western Balkan countries by funding programmes and policies of EU research that meet the actual needs of regional ICT domain.
The FOAF ontology has become a core model for describing social data of people and their links on the Web, and the people ranking is growing in popularity since search engines are considering the author's reputation of a Web page when generating search results. FOAF alone is yet insufficient to model social networks for ranking people on the Web. We concentrate here in co-authorship networks as a special case of social networks, and propose a model which extends FOAF with Page Rank and Author Rank metrics, both implemented in Semantic Web Rule Language (SWRL), for gauging the reputation of authors. Preliminary results are demonstrated, showcasing also the huge potential of this ranking approach for adopting it on social networks in general, and by search engines in particular where our future work will focus.
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Modeling co-authorship networks merely in FOAF, as is common with social networks, suffers the inability to capture semantics which are specific to collaboration schemes in the scientific community. For instance, the weight of the co-author relation which expresses the magnitude of that relation between two co-authors is subject to change dynamically as new publications are assigned to the co-authorship graph. They require mechanisms like rules in Semantic Web to calculate them. We introduce here a framework of (1) extending the FOAF ontology, and (2) implementing SWRL rules to construct weighted co-authorship networks which will contain metrics like exclusivity, frequency, or weight, as suggested in the literature. It makes it easy for the extended FOAF to integrate it with the native SWRL rules, and provide thus a uniform framework based solely on the Semantic Web for the representation and analysis of weighted co-authorship networks. An evaluation of our framework run on real data is provided.
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
BUILDING SCIENTIFIC CAPACI TY, BASED ON A STRONG FOUNDATIONIN INFORMAT ION AND COMMUNICATION TECHNOLOGIES, IS A KEY TO A BETTER FUTURE FOR KOSOVO, SAYS LULE AHMEDI, ASSOCIATE PROFESSOR OF ELECTRICAL AND COMPUTER ENGINEERING AT THE UNIVERSITY OF PRISHTINA. AHMEDI SPOKE ABOUT THE STATE OF SCIENCE AND DEVELOPMENT IN KOSOVO AT THE TWAS- IAP CONFERENCE, 'PROMOT ING REGIONAL COOPERATION IN SCIENCE, TECHNOLOGY AND INNOVATION IN THE BALKANS'.
The final publication is available at the TWAS entire volume via http://twas.org/sites/default/files/nl23-2.pdf
Opting for link semantics in XML is almost like hyperlinks for HTML documents. XLink describes a standard way to add hyperlinks to an XML document. The current XPath technologies are restricted to follow ID / IDREF(S) links for intra-document navigation only. We investigate the Lightweight Directory Access Protocol (LDAP) that offers a rich collection of primitives to express links among distributed data collections in the network, and facilities to follow links when searching. In virtue of querying the underlying LDAP model by referrals, we developed an extended XPath processor that is capable of addressing links of any type (IDREF(S), XLink) embedded in XML data on the Web. Links may be inter-document, or even traverse across different local or remote servers. We describe the internal LDAP data representation and query model used by the processor for the storage and querying in XPath of XML documents based on links, and provide examples to illustrate them. We complement the discussion with experimental analyses that prove the efficiency of our query evaluation techniques. The latter confirms the relevance of our approach for applications that need to interact with interlinked XML document networks in an XPath-like fashion.
We investigate the Lightweight Directory Access Protocol (LDAP) that provides a powerful means to link distributed data collections into an entity searchable as a single collection. Besides the linking mechanism, LDAP offers a rich collection of modeling primitives required to express ontologies as a common searchable interface. Encouraged in addition by the fact that XML has become the de facto standard for information interchange on the Internet, LGACCESS, our global querying system, combines ontologies and XML into a unified LDAP-based framework to improve the power for accessing related XML data in the network. We describe a global query evaluation strategy based on expressive links among entities that are spread across different local or remote servers. Also, the way ontologies are annotated to hold such network-aware links along with semantic annotations is shown. Built on grounds of the standard and well-established LDAP technology instead of the technologies that are still in the process of adoption by the community, our system is an ideal candidate for applications that need to interact with semistructured databases at a global extent.
The increase in popularity of the Internet has lead to the proliferation of heterogeneous information systems that could be better utilized if they operated under a common query interface. The purpose of this paper is to describe the representation formalism of ontologies in an LDAP-based information integration system, and to point out the advantages of such an approach over traditional systems. The simplicity, coherence and uniformity of the LDAP model allows us to seamlessly integrate source data, schemata discrepancies, and semantic information under a common framework, that is, by design, able to reconcile integration and data processing issues.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-56687-5_16
With the increase in popularity of XML on the Internet, the requirements of database management systems have shifted from traditional transaction-based databases towards the kind of characteristics provided, by design, by the Lightweight Directory Access Protocol. At the same time, the design and use of a middleware to provide a common querying interface to XMl-based systems has become and increasingly relevant research problem, encouraged by the fact that XML has become the de facto standard for information interchange on the Internet. The purpose of this paper is to describe the formalisms for representing ontologies in LGAccess, our LDAP-based integration system, that is able to seamlessly integrate source data, schemata discrepancies, and semantic information under a common framework, thanks to the simplicity, coherence, and uniformity of the LDAP model. Due to a close resemblance between the XML model and LDAP, and to avoid dirtying sources or ontologies with semantic annotations necessary for integration, we introduce a middleware in our system to hold such annotations and support XML ontologies in their native representation without cumbersome transformations. Furthermore, instead of using the technologies that are still in the process of adoption by the community, the middleware is built on grounds of the standard and well-established LDAP technology.
The thesis is published as book by Logos Verlag Berlin and is available via http://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=0759&lng=eng&id= or external link.
Data integration systems share the idea that the Web as a huge repository of information sources made available online could be better utilized if they operated under a common query interface. Limiting the domain of querying to a predefined collection of terms and their relationships in form of ontologies as advised by the Semantic Web initiative makes the problem of integration easier.The purpose of this thesis is, therefore, to provide an ontology-based data integration system. Ontologies are out in a middleware of the system and are annotated to hold along with the semantic data, a kind of links which relate source data and allow to readily carry out sophisticated tasks for users when querying.Given the ubiquity of XML on the Web, the system is primarily dedicated to interact with semistructured databases. On the other hand, the use of Lightweight Directory Access Protocol (LDAP) to store a variety of information is also steadily gaining in popularity. Encouraged in addition by the fact that the LDAP model closely resembles that of XML, instead of using the XML technologies that are still in their infancies, we have chosen to use the well established LDAP technology in a middleware. Moreover, links that relate remote data make particular use of the LDAP's tight connection to network channels, enabling efficient query processing regardless of the breadth of data distribution. This way, a system on top of LDAP ontologies is built that allows a lightweight global access in XPath - the W3C XML core query language - to the content of XML data from anywhere in the network, keeping thereby the inner mixture of allocation of data, their schemata and semantics transparent to the user. XML data are assumed to be webbed, i.e. contain hyperlinks, in order to coexist as an ultimate data format in the World Wide Web. Generic algorithms for dereferencing linked XML data when querying with XPath are developed. The novelty thereby lies in the ability to handle links that may traverse across different local or remote servers as defined by XLink apart from the (internal) links dating from the time IDs and IDREF(S)s were used. Again, the rich LDAP repository of modeling primitives, this time regarding links, are deployed.
Lectures, PhD studies: Knowledge representation and reasoning, Web-based information systems, Social web, Intelligent information retrieval and data mining.
Lectures, master studies: Semantic web, Research methodologies, Seminar in information systems. Past: Data on the internet I, Data on the internet II, Web technologies, Advanced databases.
Lectures, bachelor studies: Databases, Internet, Internet programming, Data models and query languages, Data mining, Information retrieval. Past: Software engineering, Professional practice (internship).
Lectures, master studies: Database programming in SQL/Oracle (lab course)
Exercises, diploma studies: Databases, Internet databases
Organisation and supervision of seminar works: Semantic web, XML query and transformation languages, Materialized views on the internet
Invited lecture, master studies: Semantic Web in use, part of the module Adaptive and Semantic Web
Invited distance lecture, bachelor studies: Introduction to Semantic Web, part of the module Intelligent multimedia systems
Lectures, master studies: Analysis and design of databases, Database programming (lab course), XML and databases, Semantic Web, Wrapper generation (team project course), Social network analysis (team project course), Advanced algorithms and data structures, Software engineering, Object-oriented software engineering
Lectures, bachelor studies: Databases, Data structures, XML and databases, Semantic Web, Programming I, Programming II, Client/server programming
Invited distance lecture, master studies: Introduction to Semantic Web: A Tutorial, part of the joint graduate seminar of Computer Science and Industrial Engineering departments
Invited distance lecture, bachelor studies: Introduction to Semantic Web
Faculty of Economics - Lectures, bachelor studies: Database management
Faculty of Sciences and Mathematics, Computer Science Department - Lectures, bachelor studies: Software engineering
High School of Pedagogy - Lectures: Basics of informatics
Lectures, bachelor studies: Introduction to Multimedia: The Internet and the Web
Lectures, master studies: Past: Semantic web, Information retrieval, Advanced database systems, Database management.
Lectures, bachelor studies: Internet technologies, IT Project 2. Past: IT Project 1, Distributed systems, Basics of programming.
"InWaterSense: Intelligent Wireless Sensor Networks for monitoring Surface Water Quality" is an EU funded project managed by the European Union Office in Kosova and implemented by University of Prishtina (Faculty of Electrical and Computer Engineering, and Faculty of Civil Engineering and Architecture), its young academic staff and students from both departments headed by Prof. Lule Ahmedi and Prof. Figene Ahmedi. A valuable contribution was given by international and local partners in the consortium: University of Duisburg-Essen (Germany), Vienna University of Technology (Austria), National Institute Tyndall (Ireland), Linnaeus University (Sweden), and Kosovo Hydro-Meteorological Institute. InWaterSense has achieved its aim in applying recent advanced practices stemming from ICT in water quality monitoring for healthy environment, and in strengthening Kosovo's capacity in research in national priority sectors of environment and ICT. A wireless sensor network for water quality monitoring is put in place and functional in Sitnica river.
Moreover, an intelligent software platform with a Web portal at the frontend has been implemented and providing in real-time and remotely raw water quality data of Sitinca at measurement points through sensors (inwatersense.uni-pr.edu/portal). For more on results of the project, visit the official project Website at inwatersense.uni-pr.edu, or download the project poster.
This is a project funded by the Erasmus+ programme of the European Union to support exchange of students and staff in the study area of ICTs between our two institutions:
There are already flows being implemented. Five students of University of Prishtina, among best students in their generation in Computer Engineering, i.e.:
To get informed about the project, please visit the Website of the project at: www.ictkoseu.eu
The main contribution of the project is a novel system introduced for tourist tour planning based on social network analysis (SNA).
The system provides a travel plan to support end users once they have given some basic input in relation to their recommended Points of Interest (POI) to visit in the given destination. The user profile and his network of friends aids in recommending that user's destination POIs. Several models of interaction between the user and the system have been considered to adopt the best case scenarios. The linkage of the user and his network of friends in terms of the recommendations for the given destination has been considered to satisfy the user's taste as close as possible. The system is compliant with the existing e-Tourist solutions, but seeks to in addition gain from a typical behavior of a user on the Web 3.0 which acts within a social network rather than isolated in whatever online activity (alike the selection of the destination POIs).
The Internet as an enormous large heterogeneous information repository is witnessing the need to better utilize the available information by operating under a common query interface. Limiting the domain of integration to a predefined collection of terms and their relationships in form of ontologies makes the problem of integration easier. The purpose of this project is therefore to develop and implement an ontology-based information integration system. To provide support for data integration, we avoid "dirtying" sources or ontologies with semantic annotations necessary for integration and instead introduce a middleware in our system to hold such annotations.
The XML is on the way to prevail over all other existing data representation formats in the Web (HTML). Hence, to keep pace with current trends, we consider the system should without fail be XML-compatible. Due to a close resemblance between XML and LDAP models (hierarchical, simple, flexibile, extensibile, etc.) and to allow for a seamless integration of source data, schemata discrepancies and semantic information under a common framework, we put the LDAP standard technology in a middleware. Except to hold annotations, the LDAP middleware serves at the same time as a medium for a stable and efficient storage of ontologies in our system.
To survey, the whole paradigm discerns with two advantageous features:
It provides a light-weight global access to the content of XML data through a common ontology in XML from anywhere in the network, and
It performs a seamless integration of data, keeping the inner mixture of allocation of data, their schemas and semantics transparent to the user.
These highlights make our approach realistic for future trading architectures for information integration.
For more information about the project, please visit the following page at University of Freiburg, Germany: dbis.informatik.uni-freiburg.de/FormerProjects/Integration/.
To get informed about the project, please visit the Website of the project at: www.aepmak.org.
Following is the list of students from our university who were supported by the project to attend one semester of their bachelor studies at Gjųvik University College, Norway:
Mimoza Lladrovci, Fisnik Alidemi, Ylli Sadikaj, Ekrem Hajredini, Dardan Maraj, Esat Pllana, Gentiana Desipojci, Lavdrim Shala, Isuf Deliu, Drilon Rugova, Zanfina Gashi, Gresë Hyseni, Arnold Plakolli, Blend Mehmeti, Ditjon Berisha.
Further, support to MSc. Zenun Kastrati, teaching assistant at our department, is provided by the project to conduct his PhD studies at Gjųvik University College.
Collaboration in teaching and research are among further main activities followed jointly by academic staff of partner universities in the project from Macedonia, Albania and Kosovo (MAK) together with associations of IT companies in these respective countries, and led by Gjųvik University College, Norway.
This is a joint project with the School of Computer Science, Physics and Mathematics at Linnaeus University in Växjo, Sweden, supported by the Swedish Linnaeus-Palme Exchange Program.
Two master students at our Telecommunications study programme were provided support to finish their second study year at Linnaeus University, Sweden, in the academic year 2013-2014.
BSc. Valon Blakaj, Master student
BSc. Gent Gashi, Master student
Moreover, two academic staff members of our department were provided support by the project to teach courses at Linnaeus University, Sweden:
Prof. Assoc. Dr. Lule Ahmedi, Computer Engineering
Prof. Assoc. Dr. Blerim Rexha, Computer Engineering
At the very outset in the project, a study visit by two academic staff members of our department:
Prof. Assoc. Dr. Lule Ahmedi
MSc. Kadri Sylejmani
took place in Linnaeus University to design the collaboration scheme in terms of mobility for staff and students, which followed later in the project as described above.
In this project, publication of open data of South East European University using Semantic Web and linked data technology is aimed. An ontology to describe university related information is developed. Then, the available structural and unstructured datasets of university are identified and accordingly mapped to open data. The aim of this repository is serving RDF triples around university information, thus offering convenience for data integration and information management. Finally, a human user interface to effectively and efficiently use and explore the dataset is developed and deployed.
A new master study program has been designed and implemented together with project partners, i.e., IT Carlow, Ireland, and University of La Rochelle, France.
An e-Learning infrastructure has been designed and implemented to support e-lectures, i.e., teaching in distance.
Evaluation Committee Member (External evaluator,) on the defense of PhD thesis
Kadri Sylejmani, Optimizing Trip Itinerary for Tourist Groups
Co-supervision of master thesis
Bhaskara Reddy Poluru, Ontology Rules over Directories (Representation in LDAP and Reasoning in KAON), 2004
Evaluation Committee Member (External evaluator) on the defense of two master thesis
Ani Dasho, Konceptimi, ndërtimi, implementimi i aplikacionit financiar të investimeve të brendshme dhe të huaja mbështetur në konceptimin dhe dizenjimin e platformës së re të bazës së të dhënave financiare
Alketa Hyso, Ndërtimi dhe sjellja e agjentëve reflektivë dhe të orientuar nga objekti
Supervision of PhD thesis
Eliot Bytyçi, Data Mining through Association Rules on Context Ontologies, 2014 - actual
Supervision of master thesis
Fisnik Alidemi, An approach on recommending applications in Android mobile devices, 2018
Barbana Komoni, Outlier detection in stream data through clustering, 2018
Berat Perçuku, Applying data mining techniques to increasing the bank profit, 2017
Rrezarta Krasniqi, Traditional relational databases versus relational databases on cloud using Azure platform, 2016
Dardan Shabani, Query recommendation using query log in search engines, 2016
Akif Gash, Krahasimi i koncepteve themelore në bazat relacionale të të dhënave me ato dokument - Rast studimi: MySQL dhe MongoDB, 2015
Mevlan Shabani, Zhvillimi i bibliografisë digjitale të publikimeve të FIEK si një aneks i bibliografisë DBLP (Digital Bibliography & Library Project), 2014
Lavdim Halilaj, Rangimi i autorëve sipas algoritmeve semantike PageRank dhe AuthorRank duke përdorur metodën iterative, 2014
Gëzim Sejdiu, Rangimi semantik i ueb faqeve - Wikipedia si një rast studimi, 2014
Mehmet Sadriu, Një portal interaktiv i rekomandimit të pikave të interesit për turistë, 2014
Driton Abdullahu, Zhvillimi i gjuhëve për fusha specifike dhe aplikimi i tyre në zhvillimin e sofuterit - një rast studimor nga fusha e zhvillimit të Ueb Aplikacioneve, 2013
Besmir Sejdiu, Sistemi për menaxhimin e të dhënave rrëke nga sensorët pa tela për matjen e kualitetit të ujit, 2013
Korab Rrmoku, Rekomandimi i pikave turistike përmes Analizës së Rrjeteve Sociale, 2013
Drilon Konjufca, Disenjimi dhe implementimi i deponive të të dhënave duke përdorur komponente të lira dhe të bazuara në kod të hapur, 2012
Labinot Bajraktari, Shfrytëzimi i data mining teknikave për grupim në sistemet për ndërlidhjen e rekordeve, 2011
Valdon Mustafa, Përmirësimi i performancës tek baza relacionale e të dhënave përmes optimizimit të pyetësorëve dhe pamjeve, 2011
Genc Hamzaj, Përmirësimi i performancës së bazave relacionale të të dhënave përmes indekseve dhe ndarjes nëpër klasterë, 2011
Valdrin Haxhiu, Gjetja e fakteve dhe trendeve brenda të dhënave në bazën e të dhënave të studentëve të FIEK-ut, 2010
Nora Spahiu, Implementimi i serviseve të observimeve të senzorëve për monitorimin e objekteve lëvizëse, 2010 (në bashkëpunim me Prof.Dr. Alen Bouju, Universiteti La Rochelle, Francë)
Dafina Sadiku, Menaxhimi i të dhënave dinamike për shfrytëzues të Androidit, 2010 (në bashkëpunim me Prof.Dr. Alen Bouju, Universiteti La Rochelle, Francë)
Eliot Bytyçi Besueshmëria e Data Mining në edukim: krahasimi i të dhënave të fituara dhe atyre reale, 2010
Mentor Arifaj, Procesimi i XPath/XQuery i zgjeruar edhe për XLink hiperlinqe 2008
Supervision of PhD thesis
Besmir Sejdiu, TBD, 2018 - actual
Korab Rrmoku, TBD, 2018 - actual (co-supervision)
Edmond Jajaga, Rule-based reasoning over stream data on Semantic Web, 2012 - 2017
Supervision of master thesis
Kaltrina Nuredini, Social network analysis metrics using a co-authorship network, 2012
Murat Aliu, Creating and serving linked data to humans and machines, 2012
Naxhije Jakupi, An e-learning tool for database normalization and denormalization, 2012
Edlira Kalemi, Ontologies on academic networks, 2011
Hilmi Haxhihamza, Efficiency of cache-replacement algorithms while retrieving data from a relational database and XML files in a web based system, 2011
Edmond Jajaga, Normalization of relations and ontologies, 2010
Supervision of master thesis
Nora Pireci-Sejdiu, Comparing text similarity algorithms for query recommendations in search engines, 2018
Miftar Miftari, Analysis of similarity functions in recommender systems, 2015
Invited lecture. The InWaterSense Project: A Semantic Sensor Web to monitor the water quality in rivers in Kosova
Invited lecture. An approach of tourist tour planning supported by social network analysis. Part of the Social Media Week hosted by Media Technology Department during the week of 2nd to 6th of December
Invited lecture. An approach of tourist tour planning supported by social network analysis
Keynote speaker. Data Expansion on the web and its impact in science, curriculum and industry
Invited talk. Representing ASHAK (the national academy of Kosovo) entitled ICT Research and Development in Kosova: Facts and Future Trends. The only presentation invited afterwards to get compiled into a newsletter article by TWAS.
Talk on Semantic Sensor Web and the InWaterSense project
General Chair of the conference 1st Software Freedom Kosova Conference (SFK'09), Prishtina, Aug. 2009
General Chair of the conference 2nd Software Freedom Kosova Conference (SFK'10), Prishtina, Sept. 2010
General Chair of the conference 3rd Software Freedom Kosova Conference (SFK'11), Prishtina, Nov. 2011
Chair of the seminar XML Days at SEEU, Macedonia. May 2008
Chair of the seminar XML Days at SEEU, Macedonia. May 2009
Design of study programs for PhD, master and bachelor studies in Computer Engineering
Working group member
Design of a study program for undergraduate level with concentration in Web Systems Design and Development, and with concentration in Multimedia and Visual Communication
Working group member
Design of study programs for bachelor and master studies in Software Engineering
Working group member
Design of a study program Bachelor in Computer Science, as well as of two study programs, Masters in Database Management, and Masters in Software Engineering
Head of the working groups
Client consulting / technical services in computer and software configuration and maitenance, as well as in network design, implementation, and administration
Projects in Web design and programming
Dr. Ing. Lule Ahmedi, Professor
University of Prishtina
Faculty of Electrical and Computer Engineering
Kodra e diellit, p.n.
10000 Prishtina, Kosova