Assistant Professor at the Faculty of Electrical
Engineering at the University of Sarajevo and Visiting Lecturer at King's College
London
Formerly, Senka spent several years as a Research
Associate at the Department of Informatics at King's College London as a
member of the Planning and Reasoning Group and the Human-AI Teaming
(HAT) lab. She obtained her Ph.D. degree in Computer Science from the
University of Innsbruck at Intelligent and Interactive Systems Group.
Ph.D. Candidate
Amar Halilovic is a PhD student and
research and teaching assistant at Ulm University, Germany. His research is on
Explainable
Robotics, where his focus is on developing methods that make the decision-making
processes
in robot motion planning interpretable. Amar's academic journey includes a Bachelor's
and
Master's degrees in Electrical Engineering from the University of Sarajevo and a
Master's
degree in Computer Science from Mälardalen University, Sweden.
Ph.D. Candidate
Vahidin Hasić is a PhD student and
teaching assistant at Faculty of Electrical Engineering, Department for Computer Science
and
Informatics, University of Sarajevo. His research is on AI explainability and Computer
Vision. He holds a Master's Degree in Computer Science, Faculty of Electrical
Engineering,
University of Sarajevo.
Ph.D. Candidate
Amina Mević is a PhD student and
teaching assistant at the Department for Computer Science and Informatics, University of
Sarajevo, Faculty of Electrical Engineering. Her research focus is on data-driven
Virtual
Metrology. She previously studied Physics at the University of Sarajevo, Faculty of
Natural
Science and Mathematics, and holds a Master's Degree in Theoretical Physics.
Ph.D. Candidate
Mubina Kamberović is a Software
Engineer at Olivebh and
PhD student at Faculty of Electrical Engineering, Department for Computer Science and
Informatics, University of Sarajevo. Her main research area is AI-Assisted Learning.
She holds a Master's Degree in Computer Science, Faculty of Electrical Engineering,
University of Sarajevo.
Ph.D. Candidate
Ajla Karajko is a Ph.D. candidate specializing in AI governance, with a research focus
on the intersection of artificial intelligence, policy, and regulatory frameworks to
advance responsible AI governance. She holds a Bachelor's degree in Economics from
Barnard College, Columbia University, and a Master's degree from the School of
International and Public Affairs (SIPA) at Columbia University. With over a decade of
experience in startups, business development, and marketing across diverse industries,
Ajla has been instrumental in driving innovation and strategic growth.