Find Academic Supervisors

Mislav GrgicView profile

Professor

• Image Processing
• Biometrics
• Digital Video Communications
• +5 more

Mislav Grgic is a Full Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), where he has been working since 1997. He currently serves as President of the Deans' Club - Association of Deans of Croatian University Faculties (2022-present) and as the 10th Grand Master of The Society of Brethren of the Croatian Dragon (2021-present). Previously, he was Dean of FER (2014-2018), the youngest ever elected to this position, and served as Special Advisor to the Rector of University of Zagreb (2015-2022). His educational background includes B.Sc. (1997), M.Sc. (1998), and Ph.D. (2000) degrees in electrical engineering, all from University of Zagreb's Faculty of Electrical Engineering and Computing. He was a visiting researcher at University of Essex, United Kingdom (1999-2000). Professor Grgic's research focuses on image processing, biometrics, digital video communications, and medical imaging applications. His work spans digital mammography for breast cancer detection, face recognition systems, image compression, and computer-aided diagnosis. He has published over 200 papers in books, journals and conference proceedings, with significant contributions to the field of image quality assessment and medical imaging analysis. His recent publications demonstrate continued leadership in image processing, with emphasis on image quality assessment, medical imaging applications, and educational outreach. His work bridges theoretical research with practical applications, particularly in healthcare technology and engineering education. Among his numerous honors and awards are: Croatian State Science Award for 2018 for popularization of technical sciences Order of the Croatian Star with the Effigy of Rudjer Boskovic IEEE Croatia Section Distinguished Service Award Fran Bosnjakovic Award - highest award in technical sciences of University of Zagreb Multiple Josip Loncar medals from FER Professor Grgic has been actively involved in professional service, including as Chair of IEEE Croatia Section (2013-2016) and as a full member of the Croatian Academy of Engineering since 2012. He has served as a guest editor for special issues in prestigious journals focusing on facial image processing and pattern recognition-based methods for biometric re-identification.

• Systems
• Networking
• Security
• +3 more

Matthew Lentz is an Assistant Professor in the Department of Computer Science at Duke University, where he joined in Fall 2021. Prior to his faculty position at Duke, he was a Postdoctoral Researcher at VMware Research Group and continues to collaborate with them as an Affiliated Researcher. His academic journey includes a PhD in Computer Science from the University of Maryland, where he was advised by Bobby Bhattacharjee. Dr. Lentz's research focuses broadly at the intersection of systems, networking, and security. His current research directions include: (1) introducing new abstractions and tools for building secure, trustworthy software systems, and (2) building systems that improve performance for modern networking and machine learning applications. His work spans diverse areas including network performance measurement, security threat analytics, and privacy-preserving systems. His research often addresses practical challenges in real-world systems while maintaining strong theoretical foundations. As an educator, Dr. Lentz teaches courses including Operating Systems (CPS 510), Introduction to Operating Systems (CPS 310), and Secure Software Systems (CPS 585). He is actively involved in mentoring graduate students, currently advising three PhD candidates: Alexander Du (with Danyang Zhuo), Chenyang Liu (with Kartik Nayak), and Luka Duranovic. His recently graduated students include Yongji Wu (now a postdoc at UC Berkeley), Yalu Cai (at CertiK), Nathan Ostrowski (at Octane Security), and Andres Montoya-Aristizabal (at Two Sigma). Dr. Lentz has served on numerous program committees for top-tier conferences including IEEE S&P (2024-2026), MobiSys (2023-2024), MobiCom (2023-2024), CCS (2021-2022), EuroSys (2021), and HotMobile (2021). He also served as Proceedings Chair for SOSP 2023, one of the most prestigious conferences in systems research.

Ashraf A. KassimView profile

Professor

• Computer Vision
• Medical Image Analysis
• Image Processing
• +2 more

Ashraf A. Kassim is a Professor at the Singapore University of Technology and Design (SUTD) and serves as Associate Provost for the Office of Education and Innovation. He holds a PhD from Carnegie Mellon University and previously held positions including Professor of Electrical & Computer Engineering at the National University of Singapore (NUS), where he also served as Vice-Provost (Research) and Vice-Dean of Engineering. His industry experience includes research at Texas Instruments developing machine vision systems. His research spans computer vision , medical image analysis , machine learning , and deep learning . Key applications include diagnostic radiography, generative adversarial networks (GANs) for image synthesis, facial landmark detection, and attribute-based fashion retrieval systems. His work integrates advanced neural architectures with real-world challenges in healthcare and multimedia. Publications (170+ articles) emphasize deep learning-driven solutions: recent works focus on medical imaging (cell classification, radiograph analysis), generative models (text-to-image synthesis, GANs), and computer vision applications (facial analysis, fashion retrieval). Awards and Honors: Mendaki Foundation’s Anugerah Cemerlang (Academic Excellence Award) Institution of Engineers Singapore Award (2011) Public Administration Medal (Bronze, 2012) National Day Long Service Award (2018) NUS Annual Teaching Excellence Award Administrative service includes board memberships at Singapore Science Centre, Singapore Synchrotron Light Source, and Centre for Maritime Studies. He contributes to academic committees and journal editorial boards internationally.

• Machine Learning
• Pattern Recognition
• Speech Recognition
• +3 more

Prof. Vassilis Digalakis is a Professor at the Technical University of Crete in the Department of Electronic and Computer Engineering, part of the School of Electrical and Computer Engineering. He holds a Ph.D. in Electrical and Systems Engineering from Boston University and has extensive experience in academia, industry, and public service. His roles include former Rector of the Technical University of Crete (2013-2017) and Deputy Minister of Education and Religious Affairs (2020-2021). Education: Ph.D. in Electrical and Systems Engineering, Boston University (1992) M.Sc. in Electrical Engineering, Northeastern University (1988) B.Sc. in Electrical Engineering, National Technical University of Athens (1986) Research Interests: Prof. Digalakis specializes in machine learning, speech recognition, pattern recognition, and dialog systems. His work emphasizes developing advanced algorithms for speech processing, multimodal interfaces, and adaptive systems. Notable contributions include innovations in linear dynamical models for speech synthesis and robust pronunciation evaluation techniques. Awards and Recognition: He has received two IEEE Signal Processing Society Best Paper Awards (1999, 2000) and holds five patents related to speech recognition technologies. His leadership roles include Director of the Telecommunications Systems Institute (2005–2013) and Chair of the ECE Department (2003–2005). Professional Activities: He served as President of the Hellenic Universities Rectors’ Synod (2015) and later as Chairman of the Standing Committee on Cultural and Educational Affairs. His work extends to industry collaborations, including founding contributions to Nuance Communications and Dialogos Speech Communications. Labs and Projects: Associated with the Information and Networks Laboratory at TUC, his research focuses on cutting-edge solutions in telecommunications and AI-driven speech technologies.

• Quantum Cryptography
• Network Security
• Routing Protocols
• +7 more

Miralem Mehić is a researcher in network security and quantum cryptography, affiliated with VSB-Technical University of Ostrava (Czech Republic) as a doctoral graduate. He holds a Senior Member status in IEEE and has conducted studies at AGH University of Science and Technology (Poland), Alpen-Adria-Universität Klagenfurt (Austria), and the Austrian Institute of Technology (AIT) in Vienna and Klagenfurt. His research focuses on quantum key distribution (QKD), network security, routing protocols, and steganography. He has led projects like NATO SPS G5894 (QUANTUM5) as Project Director and Horizon 2020 OpenQKD as Local Principal Investigator. Education: PhD (VSB-TUO, Czech Republic), studies at AGH University, AIT, and Alpen-Adria-Universität. Research Interests His work centers on securing telecommunications networks through quantum cryptography, QKD network architecture, and hybrid systems integrating quantum protocols with 5G/6G. Key areas include: - Quantum Key Distribution (protocols, network emulation, security) - Network Security (DDoS mitigation, QoS provisioning) - Artificial Intelligence (mobility prediction via CNNs, neural network applications) - Telecommunication Infrastructure (IoT, 5G integration, FSO laser communications) Publications Recent works emphasize QKD network ecosystems, mobility prediction in 5G, and cybersecurity frameworks. Over 40 peer-reviewed articles span journals like ACM Computing Surveys (IF 23.8), IEEE Network (IF 6.8), and IEEE Transactions on Networking. Awards Best Paper Award at Multimedia Communications, Services and Security (MCSS) 2017 for 'QSIP: A Quantum Key Distribution Signaling Protocol.' Grants & Projects Lead roles in major initiatives: - NATO QUANTUM5: Developing quantum-secure 5G networks. - Horizon 2020 OpenQKD: Deploying EU-wide quantum communication infrastructure. - COST Actions (CA1405, CA18232): Cross-border research collaborations in quantum tech and network dynamics. Labs & Teams Contributes to AIT’s Optical Quantum Technologies unit and collaborates with institutions like the University of Klagenfurt and AGH University on quantum network simulations and steganographic protocols.

• Telecommunications
• Intelligent Transportation Systems
• Electrical Engineering
• +4 more

Prof. Halid Žigić is a faculty member at the European University in Brčko District (BiH), affiliated with the Technical Faculty's Electrical Engineering and Information Technology Department. He holds the rank of Professor and specializes in telecommunications, intelligent transportation systems, and signal processing. His teaching includes courses like Electrical Engineering and Multimedia Systems, as evidenced by exam records from 2025. Research interests span transportation optimization, ICT applications in logistics, and environmental monitoring via satellite technology. Notable projects include electronic toll systems and climate change mitigation strategies through geospatial data analysis. He has authored over 20 technical publications focusing on engineering and applied technology solutions.

• Social Network Analysis
• Machine Learning
• Medical Image Processing
• +7 more

Mehwish Nasim is a Lecturer in Computer Science at The University of Western Australia (UWA) and holds adjunct positions at the University of Adelaide and Flinders University. She is an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers and a member of the Equity and Diversity Committee. With 17+ years in technology, she has served as a Research Scientist at the University of Konstanz and a lecturer at the National University of Sciences and Technology (Pakistan). Her PhD from the University of Konstanz focused on inferring social relations in partially observable networks. Research Interests Her work spans social network analysis, machine learning, medical image processing, and health analytics. Current projects include predicting population-level events in Australia, detecting misinformation, modeling social media polarization, and improving decision-making via complex systems approaches. Grants & Funding Key grants include a Defence AI Research Network grant (~$100K), a Defence Innovation Partnership grant ($150K), and Flinders Impact Seed Funding ($10K) targeting vaccine misinformation in migrant communities. She also secured ACEMS grants for social media polarization studies and led proposals in wargame modeling and transnational research. Teaching She teaches courses such as Algorithms, Agents & AI (UWA), Data Engineering (Flinders), and Database Modelling. Past roles include lecturing at NUST and tutoring network dynamics at Konstanz. Media & Outreach Featured in 'Women in STEM' series (2022), Flinders News (2022), and CSIRO's Data61 spotlight (2021). She has been interviewed on disinformation campaigns and podcast discussions on 'fake vs fact' (ACEMS, 2020).

Thomas SchierlView profile

Researcher

• Video Coding
• Wireless Communication Protocols
• Multimedia Systems
• +3 more

Dr. Thomas Schierl is the Head of the Video Communication and Applications Department at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin. Since 2010, he has led research groups in multimedia communications and video coding, co-developing key video coding standards such as H.264 SVC and HEVC. He currently heads the Video Coding & Analytics department since 2015, focusing on video compression, wireless transmission, and standardization. Education: Diplom-Ingenieur (Computer Engineering) from Berlin University of Technology, 2003 Dr.-Ing. in Electrical Engineering and Computer Science, Berlin University of Technology, 2010 Research interests span video over wireless networks, system integration of video codecs, and cellular network protocols. He contributed to MPEG-2 Transport Stream standards and co-authored IETF RFCs for video payload formats. In 2014, he received the Emmy Award for MPEG-2 Transport Stream development. Active in standardization bodies: JCT-VC, MPEG, IETF, 3GPP, and DVB. His work includes high-level syntax for HEVC parallelism and V2X resource pooling for 5G NR. Labs/Teams: Leads the Video Coding & Analytics team at HHI, specializing in cutting-edge video compression and communication technologies.

Michel KIEFFERView profile

Professor

• Signal Processing
• Communication Systems
• Networking
• +5 more

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.

• Computer Science
• Artificial Intelligence
• Cybersecurity
• +5 more

Kaushik Roy is an academic researcher affiliated with multiple institutions including North Carolina State University, Purdue University, and North Carolina A&T State University. His primary focus is on computer science, cybersecurity, and AI-driven solutions for real-world challenges. He has extensive experience in machine learning applications for intrusion detection, deepfake detection, biometrics, and federated learning frameworks. His work often bridges theoretical advancements with practical implementations in domains like IoT security, healthcare analytics, and cyber-physical systems. Affiliations: North Carolina State University, Purdue University, North Carolina A&T State University, and others Research Interests: Cybersecurity, Deep Learning, Biometric Authentication, Federated Learning, and AI Ethics He has co-authored over 105 publications, focusing on topics like anomaly-based intrusion detection, malware traffic classification, and privacy-preserving techniques. His recent work emphasizes federated learning architectures for healthcare and transportation IoT systems. Roy collaborates with industry partners to translate research into deployable solutions, particularly in edge computing and sensor networks.

• Spatial Data Science
• Database Management
• Big Data
• +3 more

Dr. Kiki Adhinugraha is a Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Melbourne, Australia. He holds a PhD in Information Technology from Monash University and is certified as an Oracle 11g OCA DBA. His research focuses on Spatial Data Science, Database Management, and Big Data applications, particularly in GIS, spatial query processing, and spatial crowdsourcing. He teaches courses such as Programming Environment, Cloud-based Web Applications, and Database Fundamentals. His academic contributions span geospatial accessibility analysis, machine learning applications in public health (e.g., tracking pandemic impacts), and optimizing video compression and network scheduling. He has published widely on spatial data structures, including Voronoi diagrams for IoT networks and trajectory analysis. Notable works include studies on education accessibility in Melbourne and AI-driven approaches for analyzing ALS comorbidity trajectories. Teaching responsibilities include programming, web development, and database management courses. His research often bridges theoretical computing with practical applications in urban planning, transportation systems, and healthcare analytics. He collaborates on interdisciplinary projects combining GIS, machine learning, and data-driven methodologies.

• Open Source Software
• ICT Standards
• Software Engineering
• +6 more

Björn Lundell is a Professor of Computer Science at the University of Skövde's School of Informatics. His research focuses on open source software, ICT standards, software engineering practices, and their applications in public sector and industrial contexts. He is actively involved in projects addressing challenges like standard compliance, lock-in effects, and sustainable digitalization. Lundell has collaborated extensively with organizations such as Combitech, Saab, and Husqvarna, and his work often bridges academic research with practical industrial needs. Key areas of research include open source ecosystems, governance of software standards, and cybersecurity in public sector IT. He has contributed to major initiatives like the EDU4Standards project (EU Horizon 2020) and the ORIOS project on open source reference implementations. His work emphasizes long-term maintenance of digital assets, interoperability, and compliance with regulations like the Cyber Resilience Act (CRA). Lundell has authored over 150 publications in journals like IEEE Software and Empirical Software Engineering, and conferences such as EGOV and OpenSym. His recent focus includes GenAI data governance, SaaS contract terms in public sectors, and IoT standardization. He serves as an advisor to governmental bodies, including the Swedish Public Procurement Agency, and has provided expert opinions on IT policy frameworks. Grants and projects include leadership in the LIM-IT (2016–2020) and SUDO (2020–2024) initiatives, addressing lock-in effects and sustainable innovation. His research team collaborates internationally, with partners in academia and industry across Europe and beyond.

K. Selçuk CandanView profile

Professor

• Data Science
• Database Systems
• Machine Learning
• +5 more

K. Selçuk Candan is a Professor of Computer Science and Engineering at Arizona State University (ASU) and the Director of the Center for Assured and Scalable Data Engineering (CASCADE). He holds affiliations with the Global Institute of Sustainability and the Center for Cybersecurity and Digital Forensics. His academic roles include interim co-director of the School of Computing and Augmented Intelligence (2022) and coordinator of the Big Data Systems concentration. He earned his Ph.D. from the University of Maryland and his B.S. from Bilkent University. Education: Ph.D. Computer Science (University of Maryland, 1997), B.S. Computer Engineering (Bilkent University, 1993) Affiliations: CASCADE Director, Global Futures Scientist, NSF APPEX Center His research focuses on data management, analysis of heterogeneous data, and applications in healthcare, energy, and cybersecurity. He has authored over 250 peer-reviewed publications and secured $34M in grants. Key projects include pandemic modeling, building energy optimization, and cybersecurity for smart infrastructure. Recipient of the 2023 Daniel Jankowski Legacy Award and ACM SIGMOD Contributions Award, he emphasizes interdisciplinary collaboration and mentorship. He has advised 16 doctoral students and 35+ graduate students, contributing to teaching excellence awards. His work bridges academia and industry, with grants from NSF, DOE, and DoD. Current efforts include causal learning frameworks, spatio-temporal modeling, and cyber-infrastructure for pandemic response.

K. Selcuk CandanView profile

Professor

• Data Management
• Multimedia Databases
• Distributed Systems
• +5 more

K. Selcuk Candan is a Professor of Computer Science and Engineering at Arizona State University (ASU) and Director of the Center for Assured and Scalable Data Engineering (CASCADE). He holds affiliations with multiple institutes, including the Global Futures Scientists and Scholars and the Center for Cybersecurity and Trusted Foundations. Candan has been at ASU since 1997, following his PhD from the University of Maryland. His research focuses on managing and analyzing non-traditional data types like multimedia, web, and scientific data. Key interests include scalable data processing, sensor data integration, and accessibility technologies for visually impaired individuals. He has led numerous grants from NSF, DoD, and others, resulting in over 250 peer-reviewed publications and 9 patents. Notable contributions include the DataStorm framework for coupled simulations and the OASIS system for accessible digital content. Candan has served as program chair for top conferences like SIGMOD and MM, and is an ACM Distinguished Scientist. His awards include the SIGMOD Contributions Award and Dan Jankowski Legacy Award. He has advised numerous students and led interdisciplinary projects in areas like pandemic modeling (APPEX Center) and building automation security. His work bridges theory and application, emphasizing real-world impact in healthcare, urban systems, and educational accessibility.

Heiko SchwarzView profile

Professor

• Video Coding
• Image Compression
• Multimedia Systems
• +3 more

Prof. Heiko Schwarz is a Professor at Freie Universität Berlin and Head of the Image & Video Coding Group at the Fraunhofer Heinrich Hertz Institute (HHI). He holds a Dipl.-Ing. (1996) and Dr.-Ing. (2000) in Electrical Engineering from the University of Rostock. Research & Expertise: Specializes in video coding standards including HEVC (H.265) and H.264/MPEG-4 AVC. Key contributions include scalable video coding (SVC), multiview video coding (MVC), and rate-distortion optimized encoding. His work has been integral to international standards through participation in ITU-T VCEG and ISO/IEC MPEG. Developed core tools for HEVC and its 3D video extensions Co-designed H.264/AVC's motion compensation and entropy coding Co-editor of H.264/AVC and SVC reference software Awards & Recognition: 2014 SMPTE Certificate of Merit 2012 German Future Prize Nomination 2011 Karl Heinz Beckurts Award 2009 IEEE Best Paper Award Academic Engagement: Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (2016–present). Teaches Data Compression at FU Berlin. Leads a research group focusing on next-generation video coding technologies. Labs/Teams: Directs the Image & Video Coding Group at Fraunhofer HHI, advancing standards like HEVC and exploring wavelet-based video coding techniques.