Hajira Jabeen, PhD

~ Team leader (Big Data Analytics) @ KTS ~

GESIS - Leibniz-Institute for the Social Sciences

Summary

I am working as a team leader in Big Data Analytics at GESIS-Leibniz Institute for the Social Sciences, and as an associate researcher at Smart Data Analytics for distributed semantic analytics. Previously, I have worked as Data Science Expert at the University of Cologne in CEPLAS. My research interests are distributed analytics, semantic web, data mining, big data and FAIRification of data and services. I have worked on several H2020 funded projects related to big data, scalable architecture design, and distributed analytics, in several domains inluding maritime, energy, food, smart cities, plant sciences and now, digital behavioral data.
I am interested in organizational activities, teaching, research, and industrial collaborative projects.
email: hajira.jabeen[at]gesis.org
skype:hajira.jabeen
phone : 0221-47694-517 		Photo
Conferences Organization
General Chair
  1. Workshop on Large Scale RDF Analytics, LASCAR 2020
  2. Workshop on Large Scale RDF Analytics, LASCAR 2019
  3. Computer Science Conference for University of Bonn Students, CSCUBS 2018
Senior Adviser
  1. Computer Science Conference for University of Bonn Students, CSCUBS 2019
Special Schools Organization
  1. GRADANA school, Bonn, Germany 2017
  2. GRADANA school, Thessaloniki, Greece 2019
  3. LAMBDA BDA school, Belgrad, Serbia, 2019
Journal Reviewer
  1. Knowledge Based Systems
  2. Semantic Web Journal
  3. Neurocomputing
  4. Applied Soft Computing
Program Committee Member
  1. IEEE International Conference on Semantic Computing, ICSC 2020
  2. Extended Semantic Web Conference, ESWC 2020
  3. International Conference on Advancements in Computational Sciences ICACS-2019
  4. Data Analytics 2016
  5. Extended Semantic Web Conference ESWC 2016
  6. International Conference on Collection, handling, and documentation of digital forensics ICACC-2015
  7. International Conference on Frontiers of Information Technology FIIT 2015
  8. International Conference on Anti-Cybercrimes, ICACC-2015
  9. IEEE World Congress on Computational Intelligence WCCI 2014
  10. IEEE International Conference on Computer Science and Information Technology, IEEE-ICCSIT-2011
Invited Talks
  1. Using the SANSA Stack on a 38 Billion Triple Ethereum Blockchain Dataset, “SEMANTiCS”, 2018
  2. Distributed Knowledge Graph Processing, at ZEF, University of Bonn, 2018
  3. Big Data Europe Platform at “European Big Data Value Forum” , Paris, France, 2017
  4. Big Data Integrator Platform at “Apache Big Data Europe”, Seville, Spain, 2016
  5. Data Classification using Genetic Programming, at IT University of Copenhagen, Denmark, 2014
  6. Evolutionary Algorithms for Data Classification, at Aarhus University, Denmark, 2013
  7. Genetic Programming and Classification, at “University of Cardiff”, Cardiff, England, 2010
  8. Many Webinars for Big Data Europe
PhD
  1. Theoretical Computational Intelligence
  2. Data Mining
Master Theses
  1. Distributed Big Data Analytics
  2. Knowledge Graph Analytics
  3. Advance Data Mining
  4. Advance Artificial Intelligence
  5. Advance Operating Systems
  6. Advance Computer Architecture
  7. Advance Analysis of Algorithms
Seminars
  1. Model Driven Software Engineering
  2. Knowledge Graphs
Bachelor
  1. Introduction to Computer Science
  2. Computer Programming ( C++, Java)
  3. Web Development
  4. Compute Architecture
  5. Machine Learning
  6. Object Oriented Programming
  7. Data Mining
  8. Artificial Intelligence
  9. Information Systems
  10. Computer Organization and Assembly
    Peer Reviewed Journal Articles
  1. SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs
    C F Draschner, J Lehmann, H Jabeen,
    nternational Journal of Semantic Computing , 2023
  2. Towards the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment
    S Ibrahim, S Fathalla, J Lehmann, and H Jabeen, 2023
    IEEE Access
  3. Graph Coloring using Evolutionary Computation: A case study of Blind Naked Mole Rat Algorithm
    F Maqbool, S Razzaq, A Yar, H Jabeen, 2023
    Expert Systems
  4. Efficient Computation of Comprehensive Statistical information of Large-scale OWL Dataset: A Scalable Approach
    H Allah, S Fathalla, J Lehmann, and H Jabeen, 2022
    Enterprise Information Systems
  5. IOTA: Interlinking of Heterogeneous Multilingual Open Fiscal DaTA
    Musyafa, F., Vidal, M, Orlandi, F, Lehmann, J. and H Jabeen, 2019
    Expert Systems With Applications
  6. BioKEEN: A library for learning and evaluating biological knowledge graph embeddings
    M Ali, CT Hoyt, DD Fernandez, J Lehmann, H Jabeen, 2019
    Bioinformatics
  7. OPSODE: Opposition based particle swarm optimization instilled with differential evolution
    Q Abbas, J Ahmad, H Jabeen
    International Journal of Advanced and Applied Sciences, 2017
  8. Tournament selection mechanism based random vector selection in differential evolution algorithm
    Q Abbas, J Ahmad, H Jabeen
    International Journal of Advanced and Applied Sciences, 2017
  9. The analysis, identification and measures to remove inconsistencies from differential evolution mutation variants
    Q Abbas, J Ahmad, H Jabeen
    SCIENCEASIA, 2017
  10. Random Controlled Pool base Differential Evolution Algorithm (RCPDE)
    Q Abbas, J Ahmad, H Jabeen
    Intelligent Automation & Soft Computing, 2017
  11. SML-Bench:A benchmarking framework for structured machine learning
    P Westphal, L Bühmann, S Bin, H Jabeen, J Lehmann
    Semantic Web, 1-15, 2017
  12. Fitness Proportionate Random Vector Selection based DE Algorithm (FPRVDE)
    Q Abbas, J Ahmad, H Jabeen
    International Journal of Advanced Computer Science and Applications(IJACSA) , 2016
  13. A novel tournament selection based differential evolution variant for continuous optimization problems
    Q Abbas, J Ahmad, H Jabeen
    Mathematical Problems in Engineering, 2015
  14. Two-stage learning for multi-class classification using genetic programming
    H Jabeen, AR Baig
    Neurocomputing, 2013
  15. Two layered Genetic Programming for mixed-attribute data classification
    H Jabeen, AR Baig
    Applied Soft Computing 2012
  16. GPSO: A Framework for Optimization of Genetic Programming Classifier Expressions for Binary Classification using Particle Swarm Optimization
    H Jabeen, AR Baig
    International journal of innovative computing, information and control, 2011
  17. A Review of classification using genetic programming
    H Jabeen, AR Baig
    International journal of engineering science and technology, 2010
  18. DepthLimited Crossover in Genetic Programming for Classifier Evolution
    H Jabeen, AR Baig
    Computers in Human Behaviour, 2010
    19. Book Chapters
  19. Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions
    H Jabeen, A R Baig
    Studies in Computational Intelligence (SCI). Vol 284, Springer, 2010
  20. Big Data Europe
    H Jabeen, P Archer, S Scerri, A Versteden, I Ermilov, G Mouchakis, J Lehmann and S Auer
    EDBT/ICDT Workshops, 2017
  21. Big Data Outlook, Tools, and Architectures
    H Jabeen
    Knowledge Graphs and Big Data Processing, Springer, 2020
  22. Scalable Knowledge Graph Processing using SANSA
    H Jabeen, D Graux and G Sejdiu
    Knowledge Graphs and Big Data Processing, Springer, 2020
    		23.
    Conference Proceedings
  23. ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs
    F B Moghaddam, J Lehmann, H Jabeen,
    IEEE International Conference on Semantic Computing (ICSC), 204-211, 2023
  24. Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning
    C F Draschner, J Lehmann, H Jabeen,
    IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE), 2022
  25. SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs
    C F Draschner, J Lehmann, H Jabeen,
    IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE), 2022
  26. DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs
    F B Moghaddam, J Lehmann, H Jabeen,
    IEEE International Conference on Semantic Computing (IEEE ICSC), 2022
  27. DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs
    C F Draschner, C Stadler, F B Moghaddam, J Lehmann, H Jabeen,
    ACM International Conference on Information and Knowledge Management (CIKM), 2021
  28. A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets
    H Allah, S Fathalla, J Lehmann, and H Jabeen,
    International Conference on Knowledge Engineering and Ontology Development (KEOD), 2021
  29. Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB)
    F Maqbool, S Razzaq, A Yar, H Jabeen,
    Congress on Evolutionary Computation (IEEE CEC), 2021
  30. Efficient Computation of Comprehensive Statistical information of Large-scale OWL Dataset: A Scalable Approach
    H Allah, S Fathalla, J Lehmann, and H Jabeen
    International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD), 2021
  31. Data Stewards as ambassadors between the NFDI and the community
    Dirk von Suchodoletz, Timo Mühlhaus, Dominik Brilhaus, H Jabeen, Björn Usadel, Jens Krüger, Holger Gauza, and Cristina Martins Rodrigues
    E-Science Tage, 2021
  32. Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor
    F B Moghadam, C Drachner, H Jabeen, J Lehmann
    International Conference on Semantic Systems, 2021
  33. Deploying a strategy to unlock Big Data research activities in the West Balkan region
    D Graux, V Janev, H Jabeen, E Sallinger
    26th Annual Conference on Innovation and Technology in Computer Science Education, 2021
  34. A Big Data Learning Platform for the West Balkans and Beyond
    D Graux, V Janev, H Jabeen, E Sallinger
    26th Annual Conference on Innovation and Technology in Computer Science Education, 2021
  35. DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs
    C Drachner, J Lehmann, and H Jabeen
    IEEE International Conference on Semantic Computing (IEEE ICSC), 2021
  36. Multilingual Ontology Merging Using Cross-lingual Matching
    S Ibrahim, S Fathalla, J Lehmann, and H Jabeen
    IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020
  37. A Distributed Approach for Parsing Large-Scale OWL Datasets
    H Allah, S Fathalla, J Lehmann, and H Jabeen
    International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD), 2020
  38. OWLStats: Distributed Computation of OWL Dataset Statistics
    H Allah, S Fathalla, J Lehmann, and H Jabeen
    IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020
  39. Metadata standards for the FAIR sharing of vector embeddings in Biomedicine
    S ̧Kafkas, R Celebi, M Ali, H Jabeen, M Dumontier and R Hoehndorf
    Bio-Ontologies, 2020
  40. AutoChef: Automated Generation of Cooking Recipes
    H Jabeen, J Weinz and J Lehmann
    IEEE Congress on Evolutionary Computation (IEEE CEC), 2020
  41. Cross Administration Comparative Analysis of Open Fiscal Data
    F Musyafa, J Lehmann and H Jabeen
    International Conference on Theory and Practice of Electronic Governance, 2020
  42. DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data
    H Jabeen, E Hazeiv, G Sejdiu and J Lehmann
    IEEE International Conference on Semantic Computing, 2020
  43. Affinity Dependent Negative Sampling forKnowledge Graph Embeddings
    M Baig, H Jabeen, M Ali, J Lehmann
    Deep Learning for Knowledge Graphs, 2020
  44. Uniform Access to Multiform Data Lakes using Semantic Technologies
    MN Mami, D Graux, S Scerri, S Auer, H Jabeen and J Lehmann
    International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2019
  45. Towards A Scalable Semantic-based Distributed Approach for SPARQL query evaluation
    Gezim Sejdiu, Damien Graux, Imran Khan, Ioanna Lytra, Hajira Jabeen, Jens Lehmann
    International Conference on Semantic Systems, 2019
  46. From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment
    S Ibrahim, S Fathalla, HS Yazdi, J Lehmann, H Jabeen
    International Conference on Semantic Systems, 2019
  47. Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA)
    F Maqbool, S Razzaq, J Lehmann, H Jabeen
    International Conference on Intelligent Computing, 2019
  48. Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources
    MN Mami, D Graux, S Scerri, S Auer, H Jabeen and J Lehmann
    International Semantic Web Conference, 2019
  49. A Scalable Framework for Quality Assessment of RDF Datasets
    G Sejdiu, A Rula, J Lehmann and H Jabeen
    International Semantic Web Conference, 2019
  50. The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
    M Ali, H Jabeen,CT Hoyt,and J Lehmann
    International Semantic Web Conference, 2019
  51. EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts
    H Jabeen, N Tahara, J Lehmann
    International Conference on Computational Intelligence in Music, Sound, Art, 2019
  52. Divided we stand out! forging cohorts for numeric outlier detection in large scale knowledge graphs (conod)
    H Jabeen, R Dadwal, G Sejdiu, J Lehmann
    European Knowledge Acquisition Workshop, 2019
  53. OpenBudgets. eu: A Platform for Semantically Representing and Analyzing Open Fiscal Data
    FA Musyaffa, L Halilaj, Y Li, F Orlandi, H Jabeen, S Auer, ME Vidal
    International Conference on Web Engineering, 433-447
  54. Classifying data heterogeneity within budget and spending open data
    FA Musyaffa, F Orlandi, H Jabeen, ME Vidal
    Proceedings of the 11th International Conference on Theory and Practice of
  55. Managing lifecycle of big data applications
    I Ermilov, ACN Ngomo, A Versteden, H Jabeen, G Sejdiu, G Argyriou, ...
    International Conference on Knowledge Engineering and the Semantic Web, 263-276
  56. Distributed semantic analytics using the sansa stack
    J Lehmann, G Sejdiu, L Bühmann, P Westphal, C Stadler, I Ermilov, S Bin, ...H Jabeen
    International Semantic Web Conference, 2017
  57. The BigDataEurope platform;supporting the variety dimension of big data
    S Auer, S Scerri, A Versteden, E Pauwels, A Charalambidis, ...
    International Conference on Web Engineering, 2017
  58. Big data analytics for behavior monitoring of students
    AR Baig, H Jabeen
    Procedia Computer Science 82, 43-48
  59. Multiclass Classification using Genetic Programming
    International Conference on Knowledge Management (ICKM 2012)
    H Jabeen, AR Baig, J Ahmed
  60. Lazy learning for multi-class classification using genetic programming
    H Jabeen, AR Baig
    International Conference on Intelligent Computing, 177-182
  61. CLONAL-GP framework for artificial immune system inspired genetic programming for classification
    H Jabeen, AR Baig
    International Conference on Knowledge-Based and Intelligent Information and
  62. A framework for optimization of genetic programming evolved classifier expressions using particle swarm optimization
    H Jabeen, AR Baig
    International Conference on Hybrid Artificial Intelligence Systems, 56-63
  63. Opposition based PSO and mutation operators
    M Imran, H Jabeen, M Ahmad, Q Abbas, W Bangyal
    2010 2nd International Conference on Education Technology and Computer 4, V4 … 12
  64. Word length based zero-watermarking algorithm for tamper detection in text documents
    Z Jalil, AM Mirza, H Jabeen
    2nd International Conference on Computer Engineering and Technology 2010
  65. Sponsor-based-architecture for resource management in multi-agent systems
    Z Jalil, H Jabeen
    IADIS Multi Conference on Computer Science and Information Systems(2007)
  66. Opposition based initialization in particle swarm optimization (O-PSO)
    H Jabeen, Z Jalil, AR Baig
    Genetic and Evolutionary Computation Conference (GECCO 2009).
    67. Posters and Demos
  67. EvoChef: Show me What to Cook! Artificial Evolution of Culinary Arts
    H Jabeen,N Tahara and J Lehmann
    International Conference on Computational Intelligence in Music, Sound, Art and Design
  68. Smart Chef - Evolving Recipes
    H Jabeen, C Drachner and J Lehmann
    International Conference on Computational Intelligence in Music, Sound, Art and Design
  69. Querying Data Lakes using Spark and Presto
    Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer
    WWW 2019
  70. LAMBDA: Learning, Applying, Multiplying Big Data Analytics
    V Janev, J Lehmann, E Sallinger, S Vahdati, D Graux, and H Jabeen
    European Semantic Web Symposium (ESWS 2019)
  71. Clustering Pipelines of large RDF POI Data
    R Dadwal, D Graux, G Sejdiu, H Jabeen, J Lehmann
    European Semantic Web Symposium (ESWS 2019)
  72. OECM: A Cross-lingual Approach for Ontology Enrichment
    Shimaa Ibrahim, Said Fathalla, Hamed Shariat Yazdi, Jens Lehmann and Hajira Jabeen
    European Semantic Web Symposium (ESWS 2019)
  73. Profiting from Kitties on Ethereum: Leveraging Blockchain RDF Data with SANSA
    D Graux, G Sejdiu, H Jabeen, J Lehmann, D Sui, D Muhs, J Pfeffer
    Semantics, 2018
  74. Efficient Data Parsing and Vandalism Detection on (Big) Knowledge Bases using Apache Spark
    N Roqaya, H Jabeen, J Lehmann
    Computer Science Conference for University of Bonn Students, 2018
  75. The Tale of Sansa Spark
    I Ermilov, J Lehmann, G Sejdiu, L Bühmann, P Westphal, C Stadler, S Bin, ...
    International Semantic Web Conference, 2017
  76. Big Data Platform for empowering communities including life sciences
    H Jabeen, J Lehmann
    Conference for Computational Bioscience Research Center, 2015
  77. How to feed the Squerall with RDF and other data nuts?
    Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, Jens Lehmann
    ISWC (Posters and Demos), 2019
  78. Smart Chef - Evolving Recipes
    H Jabeen, C Drachner and J Lehmann
    International Conference on Computational Intelligence in Music, Sound, Art and Design
  79. Interroger des Lacs de Données en utilisant Spark & Presto
    M N Mami, D Graux, S Scerri, H Jabeen and S Auer
    BDA (Demo Track), 2019
    80. Workshop Papers
  80. Semantic Analytics in the Palm of your Browser
    C F Draschner, F B Moghaddam, J Lehmann, H Jabeen
    LAMBDA Big Data Analytics Doctoral Workshop, 2021
  81. Semantic Web Analysis with Flavor of Micro-Services
    F B Moghaddam, C F Draschner, J Lehmann, H Jabeen,
    LAMBDA Big Data Analytics Doctoral Workshop, 2021
    		82.
    Non Reviewed Reports
  82. ‘Teach me to fish’ Querying Semantic Data Lakes
    MN Mami, H Jabeen, S Auer
  83. TIER2: enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility
    T Ross-Hellauer, T Klebel, A Bannach-Brown, S Horbach, H Jabeen, N Manola, T Metodiev, H Papageorgiou, M Reczko, S Sansone, J Schneider, J Tijdink, T Vergoulis
    		84.
2022-Present, Team Leader, Big Data Analytics GESIS-Leibniz Institute for the Social Sciences
2020-2021, Senior Researcher & Data Scientist University of Cologne
Worked the Data Science Expert at the Center of Excellence in Plant Sciences (CEPLAS)
Key research areas: FAIR Research Data Management, Big Data, Knowledge Graphs, Machine Learning, and Project Management
2016-2020, Data Scientist and Research Group Leader University of Bonn
Key research areas
Data Science, Parallel and Distributed Analytics, Knowledge Graphs, Data Mining, Machine Learning, Graph Embeddings, Artificial Intelligence, Semantic Web and related areas
Projects and Management
Technical WP Lead in H2020 Big Data Ocean,
Co-PI and Team member of HSP project Smoothed analysis of Machine Learning Algorithms
Lecturing and tutoring in Gradana, Lambda, Cleopetra
HSP for Distributed Big Data Analytics
Worked as a technical lead at Horizon 2020 funded project Big Data Europe, on the creation of “Big Data Integrator Platform”.
Machine Learning
Provision of technical expertise in projects and use cases for Big Data Ocean, Better, SLIPO, SPECIAL, OpenBudget, Bio2Vec and Blockchain analytics support for Alethio.
Supervision of PhD theses
1. Scalable Distributed Terminological Decision Trees for RDF, Heba Allah, University of Bonn.
2. Distributed Knowledge Fusion in Knowledge Graphs, Shemaa Khalid
3. Multilingual and Heterogenous Fiscal Data Integration, Fathoni Musyafa
4. Scalable processing over large knowledge Graphs, Gezim Sejdiu
Teaching
1. Distributed Big Data Analysis
2. Knowledge Graph Analysis
2015-2016, PostDoctoral Researcher Leipzig University
Worked as the work package lead at Horizon 2020 funded project Big Data Europe in development of a multi-purpose, open-source and scalable platform that is easy to use by communities.
Research in Description Logics, Structured Machine Learning and Semantic Web using Big Data tools like Spark, Flink, Dockers etc.
2014-2015, Assistant Lecturer IT University of Copenhagen
Shared the teaching responsibilities of the assigned courses to prepare and carry seminars, and go through the exercises. I have participated in following courses : 1. Software Architecture, 2. Data Mining. I remained active member of 'GameAI' and 'Real' research groups and worked with Monte Carlo Tree Search Algorithms, Procedural Game development and Evolutionary Algorithms for Games and Arts.
2013-2014, Software Engineer TEO Intl A/S, Copenhagen
Worked in a team-project for accelerated global team building solution.
2012-2013, Head of the Department IQRA University
The department of ‘Computing and Technology’ has more than 20 employees and about 2000 students. I have efficiently delivered and managed multitude of disciplines in my tenure as the Head of the Department.
2009-2013 , Assistant Professor IQRA University
I have taught a variety of subjects at the Undergraduate, Graduate and PhD level. The peer review and student assessment of my courses have always been outstanding.
Project [Role] Abstract Date
Big Data Europe
[Technical Leader]		 Technical lead of “Big Data Integrator Platform” built to handle large volumes of heterogenous data. The platform demonstrates usecases from the seven societal challenges targetted by the European Union H2020 i.e.Climate, Energy, Food, Health, Transport, Security, and Social Sciences 2015-2018
Big Data Ocean
[Technical Leader]		 Technical Lead for the data harmonization and platform for maritime data 2016-2019
OpenBudget
[ML expert]		 Technical advisor for platform development and multimodal data analytics  
LAMBDA
[Academic expert]		 Knowldge exchange expert and educationist
LAMBDA defines a scientific strategy for stepping up and stimulating scientific excellence and innovation capacity, increasing research capacities and unlocking the research potential of the biggest and the oldest R&D Institute in the ICT area in the whole West Balkan region, turning the Institute Mihajlo Pupin into a regional point of reference when it comes to multidisciplinary ICT competence related to Big Data analytics.		 2018-2020
Gradana
[Academic Expert]		 Knowldge exchange expert and educationist 2017-2019
Better
[ML Consultant]		 Machine Learning and Analytics consultant
BETTER is implementing a Big Data intermediate service layer focused on creating user-centric services and tools, while addressing the full data lifecycle associated with EO data, to bring more downstream users to the EO market and maximise exploitation of Copernicus data and information services. 		 
SLIPO
[ML Consultant]		 Machine Learning and Analytics consultant
SLIPO develops software, models and processes for: transforming conventional POI formats and schemas into RDF data; interlinking POI entities from different datasets; enriching POI entities with additional metadata, including temporal, thematic and semantic properties; fusing Linked POI data in order to produce more complete and accurate POI profiles; assessing the quality of the integrated POI data; offering value added services based on spatial aggregation, association extraction and spatiotemporal prediction. 		 
Cleopetra
[Academic Expert]		 Knowldge exchange expert and educationist 2019-2022
Bio2Vec
[Co PI]		 Technical lead 2017-2020
PLATOON
[Co PI]		 Technical lead, (Digital PLAtform and analytic TOOls for eNergy) 2020-2022,
PhD
  1. Context aware learning in Large Language Models, Stephan Linzbach, GESIS
  2. Large Scale Entity Linking for Claims Retrieval, Susmita Gangopathi, GESIS
  3. Intelligent Cognitive Systems for Automated Recipe Generation, Muhammad Saad Razzaq, University of Sargodha, Pakistan, 2024
  4. Scalability and Fairification of Evolutionary Algorithms, Fahad Maqbool, University of Sargodha, Pakistan, 2024,
  5. Distributed Machine Learning for Knowledge Graphs, Carsten Drachner, University of Bonn, Germany , 2023
  6. Large Sclae Distributed Anomaly Detection, F Moghadem Bakhshandegan, University of Bonn, Germany
  7. Scalable Distributed Terminological Decision Trees for RDF, Heba Allah, University of Bonn, Germany
  8. Distributed Knowledge Fusion in Knowledge Graphs, Shemaa Khalid, University of Bonn, Germany
  9. Scalable Multilingual and Heterogenous Fiscal Data Integration, Fathoni Musyafa, University of Bonn, Germany, 2020
  10. Distributed RDF processing using Apache Spark, Gezim Sejdiu, University of Bonn, Germany, 2020
  11. Performance Analysis of Evolutionary Computation Techniques for Continuous Optimization Problems, Qamar Abbas, Iqra University, Islamabad. 2016
Master Theses
  1. Analysis of Syntax on Fact Retrieval from Large Language Models, Tim Tressel, 2023
  2. Indexed Negative Sampling And Scalable Knowledge Graph Embedding Models, Tasneem Tazeen Rashid, 2021
  3. Ontology based modeling of Food Recipe Concepts and Process, Hammad Malik, 2021
  4. Ontology Webform: Generating web forms using ontologies, Kunal Rout, 2021
  5. Learning Defects from Aircraft Non-Distructuve Testing (NDT) Data, Navya Prakash, 2020 (DLR, Cologne)
  6. Evolution and Generation of Cooking Recipes, Jonas Weinz, 2020
  7. Smart Chef - Evolving Recipes, Carsten Felix Draschner, 2019
  8. Automated Link Discovery for Data Harmonization in the Maritime Domain, Jaime Manuel Trillos, 2019
  9. Scalable Entity Resolution, Amrit Kaur, 2019
  10. Distributed in-memory SPARQL Processing Haziiev Eskender, 2019
  11. Scalable RDF Clustering, Pratik Kumar Agarwal, 2019
  12. Rule Mining on Distributed RDF Data, Kunal Jha, 2018
  13. EvoChef! Teach me how to cook..Machine Generated Recipes Using Evolutionary Algorithm, Nargis Tahara, 2018
  14. Distributed RDF Clustering Framework, Tina Boroukhian, 2018
  15. Distributed Data Parsing and Vandalism Detection on Large-scale Knowledge Graphs Using Apache Spark and Hadoop Ecosystem, Nayef Fayez Roqaya, 2018
  16. Scalable Numerical Outlier Detection in Knowledge Graphs, Rajjat Dadwal, 2018
  17. Association Rule Mining of Linked Data Using Apache Spark, Theresa Nathan, 2017
  18. Reserving Algorithms and Portfolio Analysis for Life Insurance using Apache Spark, Amir Ansari, 2017 (SCOR, Cologne)
  19. Extraction and Fusion of Identity Data, Yujie Diao, 2016 (SMS group GmbH)
  20. Developing a believable MCTSagent in a real-time platform shooter, Lasse Knudsen, Lasse Joergensen 2015
  21. Comprehensive Rule Discovery Using Differential Evaluation For Breast Cancer Survival, Zubair Farooq, 2014
  22. Comprehensive Rules Discovery Using Particle Swarm Optimization For Back Pain Diagnosis, Hasan Kamal, 2013
  23. Fuzzy Logic Based Intelligent Software Requirement Elicitation Technique Selection Model, Wajid Arshad Abbasi, 2013
  24. A modified decreasing inertia weight in Particle Swarm Optimization (PSO), Muhammad Husnain, 2013
  25. Modified Particle Swarm Optimization (PSO) with Laplace Mutation Operator (LMPSO), Muhammad Imran, 2010