Martin Holler is a Professor at the Institute of Mathematics and Scientific Computing at the University of Graz, Austria, where he leads the research group Applied Mathematics and Machine Learning . His work bridges theoretical mathematics with practical applications in imaging and machine learning. Research Focus: His primary research areas include the mathematics of data science, variational methods in imaging, dynamic and multi-modality inverse problems, and biomedical imaging. He has made significant contributions to model-based regularization techniques, particularly with Total Generalized Variation (TGV) approaches for image and video reconstruction. Publication Trends: Over the past decade, Holler's research has evolved from traditional variational methods for image reconstruction toward increasingly sophisticated machine learning approaches. His recent work (2021-2023) focuses on integrating deep learning with variational methods, particularly for motion separation in medical imaging and learning-informed parameter identification in partial differential equations. His publications demonstrate a consistent thread of applying rigorous mathematical frameworks to solve practical problems in medical imaging and computer vision. Mathematics of data science and machine learning Generative models in machine learning Variational methods in imaging Dynamic and multi-modality inverse problems Model-based regularization Biomedical imaging Image and video decompression Technical Leadership: Holler has developed several open-source software packages implementing advanced reconstruction algorithms, particularly for multi-modal imaging problems. His GitHub repositories show active maintenance and development of these tools, which have been cited in the medical imaging community.
Assoc. Prof. Dietmar Pum is a leading researcher at the Institute of Biophysics, University of Natural Resources and Life Sciences, Vienna (BOKU). With a career spanning over three decades, he has pioneered work on S-layer proteins as nanobiotechnological tools and biomimetic surface functionalization. His research bridges microbiology, biophysics, and nanomaterials science. Education & Career Doctorate (1984) and Habilitation (1992) at Vienna University of Technology Awarded FEBS (1987) and EMBO (1982) fellowships Assoc. Univ. Prof. since 1997, Deputy Head of Biophysics Institute since 2014 Research Focus Dr. Pum's work centers on leveraging S-layer proteins for nanoscale fluid mechanics , molecular imprinting , and biohybrid materials . His projects explore: Self-assembly of 2D protein crystals Functionalization of carbon nanotubes Biomimetic sensor development Applications in diagnostics and environmental technology Publication Trends His recent publications (2025-2019) highlight interdisciplinary advancements in: Nanoscale biofluid dynamics Gold nanoparticle synthesis via microbial enzymes Archaeal S-layer characterization Protein-directed nanomaterials Biosensor platforms Lipid quantification via machine learning Scientific Recognition Philip Morris Research Prize (1998) Cardinal Innitzer Prize (1992) ÖAGM Prize (1986) Peer reviewer for Nature Materials , Advanced Materials , and Biophysical Journal Advising & Collaborations Dr. Pum has supervised over 15 theses, mentoring students in topics ranging from Caenorhabditis elegans imaging to nanomembrane fabrication. He leads international collaborations under EU Horizon and FWF grants, including the Stimuli Responsive Materials project (2020-2025). Labs & Networks As a core member of BOKU's Center for NanoBiotechnology and the Ludwig Boltzmann Institute for Molecular Nanotechnology , he develops bioinspired nanomaterials and contributes to global programs in molecular self-assembly.
Peter Homolka is an Associate Professor at the Center for Medical Physics and Biomedical Engineering, Medical University of Vienna. His work focuses on medical imaging optimization, radiation dosimetry, and the application of additive manufacturing in developing advanced phantoms for radiology and ultrasound. He has contributed extensively to CT imaging, mammography, and pediatric radiology. University: Medical University of Vienna Department: Center for Medical Physics and Biomedical Engineering Homolka's research spans X-ray attenuation analysis, image quality assessment, and the development of tissue-mimicking materials for phantoms. He has explored dual-energy mammography, ultra-low-dose CT applications, and techniques for enhancing diagnostic accuracy while minimizing radiation exposure. His recent publications highlight trends in 3D printing for anthropomorphic phantoms, dose optimization in CT and mammography, and comparative studies in emergency radiology. These works emphasize radiation safety, material science, and clinical imaging protocols. Homolka's projects include collaborations with international bodies like the IAEA, focusing on pediatric imaging standards and multi-center studies. His contributions to phantom design and dosimetry metrics have advanced quality assurance in radiology.
Jasmin Grosinger is an Associate Professor at Graz University of Technology's Institute of Microwave and Photonic Engineering, specializing in wireless systems and RF engineering. Her research advances sustainable wireless technologies through innovations in energy harvesting and communication systems. Primary research areas include: Radio Frequency Identification (RFID), antenna design for IoT applications, wireless power transfer efficiency, and development of batteryless sensor systems. Recent work emphasizes miniaturization challenges in metal environments and radiation-hardened space applications. Publication analysis reveals strong focus on: impedance measurement methodologies, NFC/WPT interoperability solutions, ultra-low power circuit design, and robust wireless systems. Research consistently addresses energy efficiency in passive electronics. Awards recognize contributions to microwave theory and practical implementations: Administrative Committee Member of IEEE MTT-S, Distinguished Microwave Lecturer award, and multiple best paper contest awards. Current projects investigate electromagnetic compatibility in challenging environments and next-generation wireless standards.
Edgar Erdfelder is a Full Professor of Psychology at the University of Mannheim, Germany, holding the Chair of Cognitive Psychology and Individual Differences since 2008. He is affiliated with the School of Social Sciences and has made significant contributions to cognitive psychology, statistical modeling, and decision-making research. Previously, he served as Full Professor at the University of Mannheim (2002–2008), Associate Professor at the University of Giessen (2001–2002), and Senior Lecturer at the University of Bonn (1987–2001). Ph.D. in Psychology, University of Trier (1986) Habilitation in Psychology, University of Bonn (2000) Diploma (M.Sc.) in Psychology, University of Göttingen (1980) Erdfelder's research focuses on statistical power analysis, multinomial processing tree (MPT) modeling, sequential statistical inference, and cognitive modeling. His work explores judgment and decision-making through mathematical and computational frameworks, integrating signal-detection theory with threshold models. He developed the widely used GPOWER software for statistical power analysis and advanced MPT models to measure cognitive process speeds. His recent publications with students highlight applications of Bayesian sequential methods, meta-analyses of sleep effects on memory, and theoretical extensions of the recognition heuristic. These studies span subfields like cognitive architecture, decision theory, and experimental design. Martin Irle Award (2020) Fellow of the Association for Psychological Science (2016) Heinz Heckhausen Award (1988) Erdfelder has held leadership roles, including Vice President of Research at the University of Mannheim and Academic Director of the Center of Doctoral Studies in Social and Behavioral Sciences funded by the DFG. He mentored numerous Ph.D. students and led the DFG-funded Research Training Group SMiP, focusing on statistical modeling in psychology.
Dr. Manav R. Bhatnagar serves as a Professor and Brigadier Bhopinder Singh Chair Professor in the Department of Electrical Engineering at Indian Institute of Technology Delhi. He ranks #517 globally in Networking & Telecommunications among the top 2% scientists worldwide according to Stanford University and is a Fellow of INAE, NASI, IET(UK), IETE, and OSI. His academic credentials include a Ph.D. in Signal Processing for Communications from University of Oslo (2008), M.Tech. in Communications Engineering from IIT Delhi (2005), and B.E. in Electronics from North Maharashtra University (1997). He has held visiting appointments at prestigious institutions including Aalto University (Finland), University of Rennes (France), University of Oslo, Indian Institute of Science Bangalore, and University of Minnesota. Dr. Bhatnagar's research spans cutting-edge domains including 5G/6G communication, optical wireless communication, quantum communication, molecular communication, power line communication, and machine learning applications. His work demonstrates significant interdisciplinary connections between communication theory, signal processing, and emerging technologies. His publication record shows a strong focus on wireless and optical communication systems, with recent work addressing challenges in jamming detection, quantum relay systems, IRS-assisted communication, and game-theoretic approaches to resource allocation. His research consistently bridges theoretical foundations with practical applications in next-generation communication systems. NASI-Scopus Young Scientist Award Shri Om Prakash Bhasin Award (2016) Dr. Vikram Sarabhai Research Award (2017) BASIC RESEARCH AWARD of IIT Delhi (2023) Sir Visvesvaraya Young Faculty Research Fellowship (2016) Senior Member of IEEE As an academic advisor, Dr. Bhatnagar has mentored numerous PhD students who have gone on to successful careers at institutions including IIT Jodhpur, IIT Roorkee, Aalto University, and IIT Kanpur. His editorial roles include current Editor of IEEE Transactions on Communications and former Editor of IEEE Transactions on Wireless Communications (2011-2014). His textbook "Telecommunication Switching Systems and Networks" has become a standard reference in the field.
Lai Ying-Cheng is the ISS Endowed Professor of Electrical Engineering at Arizona State University since 2014, with concurrent appointments as Professor of Electrical Engineering (2001-present) and Affiliated Professor of Physics (2004-present). He previously held the Sixth Century Chair at University of Aberdeen (2009-2017) and faculty positions spanning Electrical Engineering, Mathematics, and Physics at Arizona State University and University of Kansas. His research pioneers Relativistic Quantum Chaos (RQC), exploring intersections of Quantum Mechanics, Relativity, and Chaos Theory in 2D Dirac materials. He established transient chaos as a fundamental framework with applications in quantum transport modulation, ecological modeling, and epileptic seizure prediction. His group also pioneered compressive-sensing based identification of complex dynamical systems. Award highlights include the Vannevar Bush Faculty Fellowship (2016), Royal Society of Edinburgh Fellowship (2018), and Presidential Early Career Award (1997). His international collaborations span Europe and Asia, generating ~80 high-impact papers in five years through partnerships with institutions in Germany, UK, China, and Japan. Corresponding Fellow of the Royal Society of Edinburgh (2018) Vannevar Bush Faculty Fellow (2016) Presidential Early Career Award (PECASE, 1997) Fellow of the American Physical Society (1999) NSF Faculty Career Award (1997) Professor Lai maintains extensive international collaborations, hosting numerous visiting scholars and holding visiting appointments at half-dozen Chinese universities. His lab has trained influential researchers now active in China, with research impacting materials science, nanotechnology, and medical diagnostics through nonlinear dynamics applications.
Prim. Assoc. Prof. PD Dr. Walter Struhal MSc FEAN serves as Head of the Clinical Department of Neurology at University Hospital Tulln since 2017 and holds a shared leadership role at the University Clinic for Neurology (Karl Landsteiner Private University of Health Sciences) since 2019. His career bridges clinical neurology and translational research in autonomic nervous system disorders. Research Focus : Struhal specializes in autonomic dysfunction, particularly its role in Alzheimer's dementia, post-COVID-19 neurological sequelae, and neurodegenerative diseases like multiple system atrophy. His work emphasizes modern diagnostic tools such as wearable ECGs and power modulation spectrum algorithms for signal quality control. Recent collaborations include developing the NEUROGED Guidelines for neurogenic urinary/sexual symptoms and mapping autonomic education gaps in European neurology training. Scientific Contributions : As a Fellow of the European Academy of Neurology (FEAN) , he co-led international studies on ECG quality indices (PDQI/MSQI) and participated in the AFFRICATE Project analyzing autonomic impacts of cerebral vascular interventions. His 15 most recent publications (2020-2025) span stroke care economics, dysphagia management, and autonomic testing innovations, reflecting his commitment to clinical-neurological research infrastructure development. Scientific Awards : Metric-based scholarship for Austro-Mir space research Fellow of the European Academy of Neurology (FEAN)
Rainer Schuhmacher is a Full Professor for Plant and Microbe Metabolomics at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Department of Agricultural Sciences and the Institute of Bioanalytics and Agro-Metabolomics in Tulln an der Donau. His research focuses on metabolomics, analytical chemistry, and plant-microbe interactions, with emphasis on fungal secondary metabolites, mycotoxin resistance, and environmental stress responses in crops. He leads projects funded by the Austrian Science Fund (FWF), European Commission, and national agencies. Research interests span: Metabolomic profiling of plant-pathogen interactions (e.g., Fusarium -wheat systems) Stable isotope-assisted techniques for metabolic pathway analysis Cold stress mitigation in plants using Antarctic bacteria Development of computational tools for untargeted metabolomics data processing His work integrates analytical chemistry, bioinformatics, and molecular biology to study metabolic crosstalk in agricultural systems. Awards include the Fritz-Feigl-Preis (2012) and Dr.-Wolfgang-Houska-Preis (2005). He has supervised multiple PhD projects and leads the Plant-Microbe Metabolomics group, managing core metabolomics platforms and international collaborations. Key projects: Chemical crosstalk in mycoparasitic interactions (FWF) Metabolomics of cold stress tolerance mediated by psychrotolerant bacteria Extension of metabolomics platforms for plant-pathogen studies
Gunnar von Heijne serves as Professor of Theoretical Chemistry at Stockholm University, a position he has held since 1994, and as Director of the Center for Biomembrane Research since 2006. Previously, he directed the Stockholm Bioinformatics Center from 2000-2006. His academic career includes appointments at Karolinska Institute as Associate Professor (1989-1994), University of Munich as Full Professor of Computer Science (1999-2002), and ETH Zurich as Professor of Computer Science (2003). Dr. von Heijne earned his Ph.D. in Theoretical Physics from the Royal Institute of Technology, Stockholm in 1980. His research focuses on protein sorting and membrane protein biogenesis, with groundbreaking contributions including the discovery of the "(-1,-3)-rule" for signal peptide cleavage sites and the "positive inside" rule for membrane protein topology. He has developed essential bioinformatics tools such as SignalP, TargetP, and TMHMM that are widely used in the field. His work spans both computational methods development and experimental validation across E. coli and eukaryotic systems, with recent emphasis on dual-topology membrane proteins and their evolutionary significance. His research has established fundamental principles in membrane protein biology and provided essential tools for the global research community. Dr. von Heijne's publications have received approximately 75,000 citations with an h-index of 102, reflecting his significant impact on molecular biology, bioinformatics, and membrane protein research. The T. Svedberg Award, The Swedish Biochemical Society (1990) The Göran Gustafsson Prize, The Swedish Academy of Sciences (1995) The Arrhenius Medal, The Swedish Chemical Society (1997) Elected member of the Royal Swedish Academy of Sciences (1997) Elected member of the Academia Europaea (1998) "Excellence" Award, the Swedish Research Council (2002) Honorary Doctorate, Åbo Akademi (2008) The van Deenen Medal, Utrecht University (2009) The Accomplishment by a Senior Scientist Award of the International Society for Computational Biology (2012) Dr. von Heijne has supervised 16 Ph.D. students since 1991 and has served extensively on academic committees, including as faculty examiner for doctoral defenses at multiple international institutions. He has chaired the Nobel Committee for Chemistry since 2007 and has participated on editorial boards of leading journals including Journal of Molecular Biology and EMBO Journal. As Director of the Center for Biomembrane Research, he leads an interdisciplinary team investigating membrane protein structure, function, and biogenesis through integrated experimental and computational approaches, advancing our understanding of fundamental cellular processes.
Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.
Albert Treytl is a Senior Researcher at the Danube University Krems , serving as Head of the Center for Distributed Systems and Sensor Networks and Deputy Head of the Department for Integrated Sensor Systems. He holds a Master’s degree in Electrical Engineering from the Vienna University of Technology (2001) and has over two decades of experience in communication technologies and security. Current roles: Head of Center, Deputy Head of Department Research focus: Security for embedded systems, IoT, digital twins, AI in energy optimization Involvement: IEEE, CEN TC 247 WG4, IEEE1588 standardization His work addresses distributed data management, smart grid security, and model predictive control strategies for energy efficiency in buildings and traffic systems. He leads multiple national and international projects funded by FFG and EU programs. Recent research projects include KI4HVACS (AI-driven HVAC optimization), Factories4Renewables (industrial renewable energy integration), and Dataskop (sensor-based data economy). He has authored over 100 peer-reviewed publications and serves as co-lecturer at the Vienna University of Technology.
Hojjat Adeli is an Academy Professor at The Ohio State University (OSU) with courtesy appointments in the Departments of Neurology, Neuroscience, and Biomedical Informatics. He has held the Abba G. Lichtenstein Professorship in Infrastructure Engineering (2003-2013) and served as Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering for 25 years. Academy Professor, OSU (2018–present) Professor of Neurology, Neuroscience, and Biomedical Informatics (by courtesy, since 2015-2002) His research interests span interdisciplinary domains at the intersection of engineering and neuroscience, focusing on: Computational neuroscience and neurocomputing Biomedical signal processing (particularly EEG-based diagnostics) Machine learning and computational intelligence applications Smart infrastructure systems and structural engineering Optimization algorithms in civil and biomedical contexts His research trends demonstrate a synergy between: Neural network development for medical diagnostics Wavelet and chaos theory in epilepsy detection Computational intelligence for structural engineering Hybrid models integrating fuzzy logic and genetic algorithms Scientific awards and honors include: Multiple IEEE Fellowships and AAAS Fellow Thomson Reuters Highly Cited Researcher in Engineering and Computer Science Hojjat Adeli Awards for Neural Systems and Innovation in Computing Elections to international academies in Poland, Lithuania, and Spain Scott Award for Engineering Education and Distinguished Member ASCE
Mohamed-Slim Alouini is a Professor of Electrical Engineering and Associate Dean of the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He also serves as the Associate Vice President for Research and holds the UNESCO Chair in Education to Connect the Unconnected. With over 500 journal publications and more than 46,000 citations, he is a world-renowned expert in wireless communications who was elected IEEE Fellow in 2009 at the age of 39. Education: PhD in Electrical Engineering, California Institute of Technology (Caltech), 1998 MS in Electrical Engineering, Georgia Institute of Technology (Georgia Tech), 1995 Diplôme d'Etudes Approfondies (DEA) in Electronics, Université Pierre & Marie Curie (Sorbonne University), 1993 Diplôme d'Ingénieur, École Nationale Supérieure des Télécommunications (Télécom Paris Tech), 1993 Habilitation, Université Pierre & Marie Curie (Sorbonne University), 2003 Dr. Alouini is a world-renowned expert in wireless communication and networking with research interests spanning diversity combining techniques, MIMO systems, multi-hop/cooperative communications, optical wireless systems, cognitive radio, UAV communications, and advanced modulation schemes. His current focus addresses the technical challenges of uneven information and communication technology distribution, particularly targeting rural, low-income, disaster-prone, and hard-to-reach areas through integrated ground-airborne-space networks. His work bridges theoretical foundations with practical implementations to solve real-world connectivity problems. His recent publications (2020-2024) demonstrate a clear research trajectory toward integrated communication networks combining terrestrial, aerial, and space components. There's growing emphasis on UAV communications, satellite systems, optical wireless technologies, and rural connectivity solutions, with increasing integration of machine learning techniques for network optimization. His work shows consistent focus on addressing the digital divide, with several publications specifically targeting 6G challenges for connecting underserved populations and recycling existing infrastructure for enhanced rural connectivity. Scientific Awards: Member of the European Academy of Sciences and Arts (2019) Fellow of the African Academy of Sciences (2018) IEEE Fellow (2009) Abdul Hameed Shoman Award for Arab Researchers (2016) OIC Science & Technology Achievement Award (2017) Multiple recognitions as Highly Cited Researcher NSF CAREER Award (1999) Dr. Alouini has mentored numerous successful students and post-doctoral fellows who have secured positions at top institutions worldwide including Harvard, Caltech, Imperial College, and faculty positions at Korea University, Hanyang University, and universities across the Middle East. His December 2018 PhD graduate Qurrat-Ul-Ain Nadeem received the prestigious Marconi Society Paul Baran Young Scholars award, while post-doctoral fellows have won IEEE ComSoc Young Professionals Best Innovation Award and attended the Lindau Nobel Meeting. His Communication Theory Lab at KAUST drives significant research in wireless communications with funding supporting extensive publication output and innovative projects. Dr. Alouini leads the Communication Theory Lab at KAUST and holds the UNESCO Chair in Education to Connect the Unconnected, focusing specifically on technical solutions for connecting underserved communities. His lab works on integrated ground-airborne-space networks to bridge the digital divide, with particular emphasis on rural, low-income, and hard-to-reach areas. The team develops practical solutions using UAVs, satellite communications, and recycled infrastructure to provide cost-effective connectivity where traditional approaches fail.
Professor Dong Xu is a Tenured Professor in the Department of Computer Science at the University of Hong Kong (HKU), part of the School of Computing and Data Science. He holds a B.Eng. and Ph.D. from the University of Science and Technology of China (USTC). His career includes tenured roles at Nanyang Technological University and the University of Sydney, alongside postdoctoral research at Columbia University. His research focuses on Artificial Intelligence, Computer Vision, Multimedia, and Machine Learning , with applications in autonomous driving, AR/VR, medical image analysis, and video surveillance. Xu has authored over 150 papers in top journals and conferences, including CVPR, ICCV, and IEEE Transactions. He actively contributes to the academic community as an editorial board member for journals like ACM Computing Surveys and IEEE Transactions, and through leadership roles in conferences such as ACM Multimedia and ICME. Notable awards include Fellowships from IEEE and IAPR, and the IEEE Signal Processing Society Distinguished Lecturer title (2021–2022). Education: B.Eng. (USTC, 2001), Ph.D. (USTC, 2005) Professional Service: Program Coordinator of ACM Multimedia 2024, Guest Editor of over ten special issues.
