Our Team
Meet the distinguished researchers driving innovation in Machine Learning and AI
Prof. Dr. Talha Ali Khan
Vice President for Research & Professor of Data Science
Expert in Data Engineering, Data Analytics, Machine Learning, Artificial Intelligence, and Cloud Computing. His research focuses on developing AI methods applicable across sectors such as health, industry, and data science.
Prof. Dr. Iftikhar Ahmed
Professor of Software Engineering
Specializes in Responsible AI, Explainable AI, and Social Network Analysis. With extensive academic and professional experience, he focuses on ensuring AI systems are transparent, ethical, and accountable.
Prof. Dr. Raja Hashim Ali
Professor of Digital Business and Data Science
Ph.D. in Computer Science with Specialization in Computational Biology and AI from KTH Sweden. With over 13 years of teaching experience, he specializes in Machine Learning, Deep Learning, AI, Data Science, and Bioinformatics. Member of MINDS research group.
Mr. Shan Faiz
Research Associate
Research Engineer with extensive experience developing innovative industrial solutions for startups. He holds a Master’s degree in Chemical Engineering and has authored numerous publications in international journals and conferences, reflecting his contributions to applied research.
Research Students
Meet our talented students contributing to cutting-edge projects
Tutor Cristhian David Caceres Mateus
M.Sc. Student
Student of Master of Data Science, Chemical Engineer with over 4 years of experience specializing in Neuro-Symbolic AI and Process Mining. He focuses on building Explainable AI (XAI) systems and hybrid data architectures, with a proven track record in automating workflows and optimizing large-scale geospatial and climate datasets.
Debopriya Das
M.Sc. Ex-student
Expert in Explainable AI (XAI) and spatio-temporal pattern recognition. An alumna of UE Potsdam, her research focuses on zero-shot object detection and reliable perception in ADAS, with multiple first-author works in leading journals.
Tutor Klaus Caka
M.Sc. Student
A Computer Science professional with a background in software development and advanced studies in Artificial Intelligence. Since 2019, he has bridged the gap between industry-standard engineering and academic inquiry. His current research focuses on Natural Language Processing (NLP), specifically the evaluation of state-of-the-art models for hate speech detection. He is dedicated to advancing AI through analytical rigor and collaborative research.
Pratik Rughe
M.Sc. Ex-student
Data Analyst and AI Researcher specializing in intelligent, data-driven solutions for resource optimization and sustainability. With a background in Computer Engineering and Data Science, his work focuses on deploying machine learning models to address complex challenges in energy systems and operational efficiency. Expert in building scalable data pipelines and implementing analytics platforms within cloud-based ecosystems (AWS/Azure).
Arpitha Javali Ashok
M.Sc. Ex-Student
Master’s student in Data Science with a background in Computer Science Engineering. She is a published researcher in the MDPI Climate Journal, focusing on deep learning and time-series modeling for climate variability.
Research Areas
Our research spans multiple domains, addressing real-world challenges through AI and ML
Responsible & Explainable AI
Developing transparent, ethical, and accountable AI systems that can be trusted and understood by users and stakeholders.
Data Science & Analytics
Harnessing big data to derive meaningful insights and inform decision-making across various industries and applications.
Bioinformatics
Applying computational methods and AI techniques to understand biological data, advancing healthcare and life sciences.
Cybersecurity
Developing AI-driven approaches to protect digital assets, detect threats, and enhance security systems.
Internet of Things (IoT)
Integrating AI with IoT to create intelligent, connected systems that can learn and adapt to their environment.
Financial AI
Applying machine learning and AI techniques to financial modeling, risk assessment, and algorithmic trading.
Publications
Our research contributions to top-tier journals and conferences
Our team members have published extensively in prestigious journals including Engineering Applications of AI (IF 8.0), Molecular Biology and Evolution (IF 14.797), and Expert Systems with Applications (IF 8.8).
Explore our individual Google Scholar profiles for comprehensive publication lists:
Contact Us
Get in touch for collaborations, inquiries, or opportunities
Location
University of Europe for Applied Sciences
Innovation Hub
Konrad-Zuse-Ring 11
D-14469 Potsdam, Germany
Department
Department of Business
Machine Intelligence and Data Science (MINDS) Research Group
Contact
Phone: +49 (0)30 338 539 710
Email: study@ue-germany.com
UE Innovation Hub Website