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ACADEMIC STAFF

Faculty Lecturers

Prof. Dr. Amila Akagic

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.
"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 Pilav-Velić

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.
"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. iur. Iza Razija Mešević

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.
"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. Izudin Džafić

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.
"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."

Doc. Dr. Kenan Šehić

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.
"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."

Prof. Dr. Senada Kalabušić

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.
"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."

Doc. Dr. Senka Krivić

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.
"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. Nadira Aljovic

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).
"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."

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.

Prof. Dr. Lejla Smajlović

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.
"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."

Teaching Assistants

Adin Memić

I hold a Bachelor's degree in Electrical Engineering from the University of Sarajevo, where I graduated with high honors (Silver Badge of Excellence).
During my studies, I worked as a teaching assistant for the courses Introduction to Programming and Fundamentals of Computing.
I spent a semester at KU Leuven in Belgium, where I took part in a research project focused on the analysis and processing of large datasets related to fault detection in power systems.
I was recognized as the highest-performing student from the Western Balkans at KU Leuven.
My academic interests lie at the intersection of artificial intelligence and electrical power systems, with a particular focus on power electronics and intelligent grid diagnostics.
Probability and Statistics for AI
"The fusion of data science and artificial intelligence is not just about building smarter machines—it's about unlocking new ways to understand,
predict, and shape the world around us. With every line of code, we push the boundaries of what’s possible."

Admir Ahmespahić

I was born in Sarajevo where I graduated from the Second Gymnasium Sarajevo before enrolling and completing the Bachelor program at the Faculty of Electrical Engineering in Sarajevo at the Department of Automatic Control and Electronics. I am currently pursuing a Master’s degree in electrical engineering at the University of Sarajevo with an expected graduation in the year 2026. While studying, I worked on a few personal and faculty projects in order to extend my knowledge in the fields of automation, electronics and programming. I am particularly interested in embedded systems and computer graphics, which were the main subjects for my projects, as well as machine learning which I plan to incorporate into my master thesis. I am an active member of ESC (Embedded Systems Club) at the Faculty of Electrical Engineering, and UNSA Racing Team at the Faculty of Mechanical Engineering.
Programming in Python
"A good engineer can solve difficult problems using creativity and powerful tools. Learning how to use AI as a tool for problem solving is a crucial step in the career path of a modern engineer."

Amina Kurtović

Amina Kurtović is a dedicated Computer Science and Informatics graduate currently pursuing a Master’s degree in the same field at the University of Sarajevo. She completed her undergraduate studies in 2023, after graduating from the Second Gymnasium and Music High School in Sarajevo. Alongside her academic work, she has been involved in teaching and internships in the field of software development. Her interests include artificial intelligence, software engineering, and educational technologies, with a strong drive for continuous growth and applied learning.
Fundamental Concepts of Artificial Intelligence;
Algorithms and Data Structures 1
"The Data Science and Artificial Intelligence program offers a unique opportunity to connect theory with practice. By combining knowledge from programming, statistics, and machine learning, students are encouraged to approach real-world challenges in a thoughtful and creative way. This program helps develop both technical and analytical skills that are increasingly valuable across industries. For anyone curious about data, technology, and intelligent systems, DSAI provides a solid foundation and a supportive environment to grow."

Džana Drino

Džana Drino is a senior teaching assistant at the Department of Mathematical and Computer Sciences at the Faculty of Science, University of Sarajevo, where she obtained her bachelor’s and master’s degree. She obtained her PhD degree in the area of Applied Mathematics at the same department in 2023. Her research interests include difference equations and discrete dynamical systems with applications.
Mathematics for AI I;
Mathematics for AI II

Džemil Džigal

Džemil is a MSc of the Faculty of Electrical Engineering, Sarajevo. Currently working as an AI/ML Engineer @ B&R Industrial Automation Sarajevo, a member of the ABB group. Džemil’s engineering interests and work experience include AI/ML, Signal Processing, Hardware and Parallel computing and Embedded Systems. Work experience expands both locally and internationally, having worked with teams across the globe on Hardware and Embedded projects, now exploring new things on a SOTA project in AI @ B&R.
Mathematical Logic
"For the students studying DSAI, I’ve but one thing to tell them, one which they should always keep in mind, that is that this sort of study program needs to teach them how to interpret the world around them, how to find patterns in nature and how to exploit it for the benefit of humankind. For progress and prosperity, there is no better way to achieve, but to find beauty in the world. This beauty is always filled with patterns, and logic, so follow the data, you will never miss your goal that way."

Jusuf Delalić

Jusuf Delalić has obtained his Bachelor's and Master's degree at University
of Sarajevo, Faculty of Electrical Engineering, Department of Computer Science
and Informatics, where he is currently enrolled in a PhD program.
During his Bachelor and Master studies he has worked as a student teaching
assistant for several courses. His main research interests include system
programming, formal verification and concurrent computing.
Currently, he works as a software developer in areas of backend web
development, frontend web development and DevOps.
Algorithms and Data Structures I
"Data science and artificial intelligence have come a long way in a very short period of time and are now present in a vast number of everyday use cases. Understanding the fundamental concepts used in these fields will help in applying them to solve real-world problems."

Mak Mešanović

I am a graduate of the Faculty of Electrical Engineering, Department of Automatic Control and Electronics, at the University of Sarajevo, holding a Bachelor's degree. Currently, I am pursuing a Master's degree at the same department. During my undergraduate studies, I was awarded the University of Sarajevo Golden Badge, graduating as the second-best student of my faculty. For the past three years, I have worked as a teaching assistant for the courses Introduction to Programming and Introduction to Autonomous Systems. I specialize in robotics and AI, with a strong background in Control Theory. Alongside my academic pursuits, I have been actively involved in various extracurricular activities and projects, including participating in the MARBLE Hackathon in Trieste and being a member of the UNSA Racing Team at the Faculty of Mechanical Engineering.
Introduction to Autonomous Systems
"DSAI is more than just a study program - it's a gateway to the future. By merging robotics, artificial intelligence, machine learning, software development, and applications in fields like medicine and management, DSAI empowers you to build solutions that change the world. The future is already here — and it’s evolving faster than ever. If you want to make a real impact, DSAI is where your journey begins."

Medina Kapo

Medina Kapo obtained both her Bachelor's and Master's degrees in Electrical Engineering, specializing in Computing and Informatics, at the Faculty of Electrical Engineering, University of Sarajevo. She is currently a second-year PhD student in the same department. From October 2021 to July 2023, she worked as a student teaching assistant for the course Fundamentals of Database Systems. During the 2022/2023 academic year, she served as the student representative for the second year of the Master's program in the Department of Computing and Informatics. In September 2023, she was a mentor for Artificial Intelligence at the summer camp “Smart IT Girls, smarter automation”, which was supported by UNICEF. Since October 2023, she has been working as a teaching and research assistant at the Faculty of Electrical Engineering, University of Sarajevo.
Her research interests include the application of artificial intelligence methods in computer vision, bioinformatics, and cheminformatics.
Probability and Statistics for AI
Machine Learning: Supervised Techniques
In today’s world, where we are constantly surrounded by vast amounts of data, it is essential to have the knowledge and skills needed to analyze that data and gain a deeper understanding of the world around us. The DSAI program offers a unique opportunity for students to acquire these competencies at the best faculty of electrical engineering and computing in Bosnia and Herzegovina, preparing them to become future leaders in the industry.

Merjem Bećirović

Merjem Bećirović is a second-year Master's student at the Faculty of Electrical Engineering, University of Sarajevo, where she also earned her undergraduate degree in 2023. She graduated from the First Bosniak High School in Sarajevo in 2020. Alongside her studies, she has worked as a teaching assistant for several courses at the faculty and has been actively involved in student organizations throughout her education. She has a strong passion for technology and problem-solving, with particular interests in artificial intelligence, computer networking, cloud computing, and cybersecurity — all supported by a deep appreciation for mathematics.
Fundamental Concepts of Artificial Intelligence;
Algorithms and Data Structures 1
"As a student teaching assistant in the Department of Data Science and Artificial Intelligence, I’m proud to be part of a pioneering step forward for our Faculty of Electrical Engineering—and for Bosnia. I’ve always been passionate about education, growth, and technology, and I see this department as a symbol of progress, not just academically, but for our country’s future. Being able to contribute, share knowledge, and support others on this journey is an honor, especially in a field that defines where the world is going."

Nejla Buljina

I am Nejla Buljina currently studying for my Master's degree at the Department of Automatic Control and Electronics. At the Faculty of Electrical Engineering University of Sarajevo I got my Bachelor's degree at the same Department. I am active in extracurricular activities and some of them are: MARBLE project in Trieste (Italy) related to maritime robotics, training on KUKA robots at the German Center for Robotics in Tuzla, Cyber Security Camp in Albania, and Net Zero mission through Energy Audit Team and Green Pavilion team (Sarajevo Film Festival). I have a special interest in AI and because of that I did my Bachelor's thesis related to it. I developed a set of laboratory exercises for the course Introduction to Autonomous Systems taught in DSAI Department at our faculty. Afterwards, I worked as a teaching assistant in that course.
Introduction to Autonomous Systems; Professor Senka Krivić
"DSAI offers a great opportunity to delve into the emerging field of AI. This is a transformative and innovative experience for tech enthusiasts. Whether you think you can or cannot, either way, you are right!"

Tarik Velić

I hold a Bachelor's degree in Electrical Engineering with a major in Computer Science and Informatics from the University of Sarajevo, where I am currently pursuing my Master's studies. From an early age, I have had a strong passion for mathematics, which has significantly shaped my analytical thinking and strengthened my foundation in engineering. Currently, I work as a software developer at ZIRA, where I contribute to the development of scalable and efficient software solutions. I am particularly driven by clean architecture, long-term maintainability, and the impact that well-engineered systems can have on business outcomes and everyday life in general. I continuously seek opportunities to grow, both technically and professionally, and to stay aligned with the evolving demands of the software industry.
Fundamental Concepts of Artificial Intelligence;
Programming in Python;
Algorithms and Data Structures
"In 2025, acquiring expertise in artificial intelligence holds a transformative potential comparable to learning programming in the early 2000s."

Vahidin Hasić

Vahidin Hasić is a PhD student and teaching assistant at the 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.
Practical Application of Artificial Intelligence
"If your goals don't scare you, they're not big enough."
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
III semestar
Academic Staff
Artificial Intelligence
Prof. Dr. Izudin Dzafic
Algorithms and Data Structures II
Doc. Dr. Sead Delalic
Introduction to Data Analysis and Visualisation
Doc. Dr. Amra Delic Halilovic
Mathematics for AI III
Prof. Dr. Senada Kalabusic & Prof. Dr. Zenan Sabanac
Basic Scientific and Soft Skills
Prof. Dr. Lejla Turulja
Machine Learning: Supervised Techniques
Prof. Dr. Amila Akagic
IV semestar
Academic Staff
Seminar in AI
Prof. Dr. Amila Akagic
Computational Data Analytics
Prof. Dr. Aida Branković
Formal Models
Prof. Dr. Aida Branković
Numerical Optimization
Prof. Dr. Izudin Dzafic
Machine Learning: Unsupervised Techniques
Prof. Dr. Nermin Čović
Machine Learning and Pattern Recognition
Prof. Dr. Aida Branković
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Faculty of Electrical Engineering, University of Sarajevo,
Zmaja od Bosne bb, 71000 Sarajevo, Bosnia and Herzegovina