Breakpoint 2024 - Artificial intelligence - Get Early Access ->
ACADEMIC STAFF
Prof. Dr. Amila Akagic
"In an era where data shapes our reality and artificial intelligence redefines possibilities, our Data Science and AI program stands at the forefront of innovation. This program is designed to equip students with the skills to decode complex data patterns and drive the AI revolution. Join us to be part of a future where your expertise will not only create groundbreaking solutions but also generate new opportunities and transform industries for generations to come."
Prof. Dr. Amila Akagic is an Associate Professor in the Department of Computer Science and Informatics at the University of Sarajevo. Her research encompasses a broad spectrum of subjects, including Artificial Intelligence, Computer Vision, Image Segmentation, Machine Learning, and Digital Signal Processing. Prof. Dr. Akagic earned both her Bachelor's and Master's degrees in Electrical Engineering from the University of Sarajevo in 2006 and 2009, respectively. In 2013, she obtained her Ph.D. from Keio University, Japan. She has been the recipient of several prestigious scholarships, including the Fulbright scholarship and a prominent MEXT scholarship. Prof. Dr. Akagic has authored over 50 papers published in esteemed international journals and conferences, demonstrating her significant contributions to the field.
Prof. Dr. Amila Pilav-Velić
"As a lecturer in the Data Science and Artificial Intelligence program I am proud to highlight the significance of our curriculum. This program is a game-changer, equipping students with cutting-edge skills in innovation, machine learning, deep learning, and big data analytics. Our hands-on projects and industry partnerships ensure that graduates are ready to tackle real-world challenges and lead AI revolution. If you're looking to build a future in tech, this is the place to be!"
Prof. Dr. Amila Pilav-Velić is Vice Dean for scientific research and projects and full professor at University of Sarajevo, School of Economics and Business. She completed PostDoc research at Freie Universität Berlin, Chair for Innovation Management. Her main areas of expertise are Innovation Management, Innovation ecosystems, Digital and Green transition. She is founder and general manager of the of the biggest regional conference on innovation – Sarajevo Innovation Summit. She is head of Center of Excellence for Policy research and evaluation. Since 2013 she has managed the Center for education and research at her home institution. Prof. Dr. Pilav-Velić is founder of the first University incubator in the country – GrowUp Business and Innovation Hub.
Prof. Dr. iur. Iza Razija Mešević
"By introducing this pioneering curriculum, the ETF Sarajevo is aiming toward educating future industry leaders in the field of data science and AI in the Western Balkans and beyond. This program is also positioning Bosnia and Herzegovina in the group of countries, which have recognized current technology trends and wish to shape them and not only follow them."
Prof. Dr. iur. Iza Razija Mešević is an Associate Professor at the University of Sarajevo - Faculty of Law in the scientific field of "Intellectual Property Law” (IP). In addition, she is also the Vice-Dean for international cooperation of the Faculty, expert witness for IP for the Prosecutor’s Office of Bosnia and Herzegovina, trainer in the field of IP for the Centre for the Education of Judges and Prosecutors of the Federation of BIH, and a TEDx speaker (“My Life With(out) Intellectual Property”. She obtained the title of Doctor of Laws (Dr. iur.) from the Faculty of Law of the Ludwig Maximilian University in Munich and is a multiple holder of the research scholarship of the Max-Planck-Institute for Innovation and Competition in Munich. Professor Mešević is the author of numerous monographs and research papers in the field of IP. In the last few years, her research is predominantly focused on the issues which emerging digital technologies and phenomenon (e.g. NFTs, Metaverse, AI, Web 3.0 etc.) pose on IP rights.
Prof. Dr. Izudin Džafić
"In a rapidly evolving digital landscape, the mastery of programming, system modeling, and data synthesis is essential for shaping the future. Our Data Science and Artificial Intelligence program is meticulously crafted to empower students with these crucial skills. By delving into the realms of advanced coding, creating sophisticated models, and synthesizing vast data sets, you will be at the forefront of innovation. Join us to lead the charge in transforming industries, driving technological progress, and creating the jobs of tomorrow for future generations."
Izudin Džafić received the Ph.D. degree from University of Zagreb, Croatia in 2002. He is currently a Professor in the Department of Automatic Control and Electronics, Faculty of Electrical Engineering, at the University of Sarajevo, Sarajevo, Bosnia and Herzegovina. From 2002 to 2014, he was with Siemens AG, Nuremberg, Germany, where he held the position of the Head of the Department and Chief Product Owner (CPO) for Distribution Network Analysis (DNA) R&D. He holds 15 US and international patents. His research interests include power system modelling, development and application of fast computing to power systems simulations. He is a member of the IEEE Power and Energy Society and the IEEE Computer Society.
Doc. Dr. Kenan Šehić
"I am honored to contribute to this initiative that connects academic learning with practical industry demands in data science and AI. Through my research and collaborations with industry partners, I have witnessed firsthand the vast potential these fields offer for innovation and growth. I am enthusiastic about guiding and teaching students who are poised to lead the way in shaping the future with their unique expertise and creative vision."
Dr. Kenan Šehić, Assistant Professor of Computer Science at the Faculty of Electrical Engineering, University of Sarajevo, is a distinguished researcher with a Ph.D. from the Technical University of Denmark and a postdoc from Lund University. An expert in uncertainty quantification, machine learning, optimization, and high-dimensional problems, Dr. Šehić has published five articles in leading journals. Leveraging this expertise in collaboration with industry, he applies his knowledge to revolutionize electric vehicle charging, contributing to a cleaner and more efficient energy landscape. Dr. Šehić is an alumnus of the University of Sarajevo, where he earned his bachelor's and master's degrees in Mechanical Engineering in 2013 and 2015.
Prof. Dr. Senada Kalabušić
"Students will gain a comprehensive understanding of the mathematical principles that underpin machine learning algorithms and artificial intelligence. The study is designed to provide insights into mathematical models, optimization methods, statistics, probability, and information theory crucial for creating efficient and dependable algorithms. This program will equip our students with the academic knowledge and practical skills needed to emerge as leaders in artificial intelligence."
SENADA KALABUŠIĆ obtained her bachelor's, master's, and Ph.D. degrees from the Department of Mathematics at the Faculty of Science, University of Sarajevo. She holds the position of full professor of applied mathematics at the Department of Mathematics and Computer Sciences at the University of Sarajevo. She received the Fulbright scholarship and served as a Fulbright Visiting Scholar during 2008-2009 at the Department of Mathematics, University of Rhode Island. Her research interests include difference equations, discrete dynamical systems, nonlinear dynamics, stability theory, normal forms, bifurcation theory, and their applications.
Doc. Dr. Senka Krivić
"As a lecturer in the Data Science and Artificial Intelligence program I am proud to highlight the significance of our curriculum. This program is a game-changer, equipping students with cutting-edge skills in innovation, machine learning, deep learning, and big data analytics. Our hands-on projects and industry partnerships ensure that graduates are ready to tackle real-world challenges and lead AI revolution. If you're looking to build a future in tech, this is the place to be!"
Senka Krivić, Ph.D, is an Assistant Professor at the Faculty of Electrical Engineering at the University of Sarajevo. Formerly, she 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. in Computer Science from the University of Innsbruck at Intelligent and Interactive Systems Group in 2019. Her research interests are Human-Centred Artificial Intelligence, Robot Learning, AI Planning and Reasoning, Trusted and Explainable Autonomous Systems, Human-Robot Interaction, Machine Learning, and Optimization. She is the author of several research papers at top international AI and robotics conferences and journals such as IJCAI, AAAI, IROS, ICRA, JAIR, and Autonomous Robots.
Prof. Dr. Lejla Smajlović
"Data science and AI have become major tools that empower us to navigate a dynamic world, solve complex problems and create a better future. This program is designed to empower students to master crucial skills necessary to embark on a career in data science and AI and to become industry leaders. It provides extensive professional opportunities in various other sectors, including finance and healthcare. Mathematics and logic is the backbone for reasoning, problem-solving and decision-making. After completing this program, students will have a comprehensive understanding of relevant mathematical concepts that will enhance their ability to shape the intricate landscape of data science and AI."
Prof. Dr. Lejla Smajlović received her PhD from the University of Sarajevo in 2003 and since then was holding different positions at the same University, becoming a Professor in 2013. She currently serves as a Managing Editor of the Jounal of Number Theory (published by Elsevier), as an Editor of the Bulletin of Malaysian Mathematical Sciences Society (published by Springer) and is active in the Women in Numbers Europe network. Her research interests are in differential operators, automorphic forms and zeta functions and their applications to spectral analysis on manifolds (including computational approaches), class field theory and spectral analysis on graphs. She is an author/coauthor of more than 50 research papers published in esteemed scientific journals.
Prof. Dr. Nadira Aljovic
"A good basis of General English is necessary for effective communication. However, to meet the demands of modern employers, you need to be able to use English to make phone and conference calls, do presentations, take part in meetings, be involved in negotiations, write emails, reports, etc. – in short, to communicate with a professional attitude and confidence, using specific formal vocabulary and sentence structures. Our Business English course focuses on topics and language skills applicable to the workplace, and necessary for accurate communication and professional progress."
PhD in theoretical linguistics in 2000, University Paris 8, France. Experienced higher education teacher (since 1998, France, Bosnia and Herzegovina). Currently teaching at the University of Sarajevo and University of Zenica (Bosnia and Herzegovina). More than 50 papers and conference talks realized (in theoretical and experimental linguistics). Over 10 years of bidirectional translation, transcription, back-translation, post-editing, reviewing, localization of various documents in numerous fields (from/to English and French).
Doc. Dr. Amra Delić
Dr. Amra Delić is an Assistant Professor at University of Sarajevo. She completed her Ph.D. in 2020. under the supervision of Prof. Hannes Werthner, at Faculty of Informatics, TU Wien, and she received her bachelor’s and master’s degree from the Faculty of Electrical Engineering at University of Sarajevo. Her research focuses on the personalized systems that support group decision-making processes by exploiting various user, group, interrelationship features, as well as the information about the decision-making process itself.
I semestar
Academic Staff
Fundamental Concepts of Artificial Intelligence
Prof. Dr. Amila Akagic & Prof. Dr. Emir Turajlic
Programming in Python
Prof. Dr. Izudin Dzafic
Mathematics for AI
Prof. Dr. Senada Kalabusic
Introduction to Autonomous Systems
Doc. Dr. Senka Krivic
Foundations of Innovation
Prof. Dr. Amila Pilav Velic & Prof. Dr. Iza Razija Mesevic
Business English
Prof. Dr. Nadira Aljovic
II semestar
Academic Staff
Practical Application of Artificial Intelligence
Doc. Dr. Kenan Sehic
Algorithms and Data Structures I
Prof. Dr. Haris Supic
Probability and Statistics for AI
Doc. Dr. Amra Delic Halilovic
Mathematical Logic
Prof. Dr. Lejla Smajlovic
Mathematics for AI II
Prof. Dr. Senada Kalabusic
Financing of Innovation
Prof. Dr. Amila Pilav Velic
This web platform is supported by the Economic Governance for Growth (EGG2) project, which is financed by the Government of the Kingdom of Norway and implemented by the United Nations Development Programme (UNDP) in Bosnia and Herzegovina. The views and opinions expresses of this platform do not necessarily reflect reflect the views or positions of the Kingdom of Norway nor UNDP in BiH.
Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne bb, 71000 Sarajevo, Bosnia and Herzegovina
