جست‌وجوی استاد و پژوهشگر

• Probability Theory
• Random Walks
• Random Algorithms
• +۵ مورد دیگر

Quirin Thomas Simon Vogel is a Senior Lecturer at the University of Klagenfurt , located within the Department of Statistics . Before joining Klagenfurt, he held post-doctoral positions at the Technical University of Munich and New York University Shanghai , and served as Interim Professor at Ludwig-Maximilians University of Munich . His research lies at the intersection of probability theory and statistical mechanics . Specifically, he investigates random walks , random algorithms , and loop-based models arising from physical systems. Key themes include: Loop percolation and interacting Bose gases Large deviations and critical phenomena Randomised algorithms for communication networks Mathematical models of cancer dynamics and immune response Across his 2020-2025 publications, Vogel consistently applies probabilistic techniques to high-dimensional statistical-physics models, neural-network theory, and wireless-protocol design, evidencing a broad yet cohesive research portfolio. Contact details: Email: quirin.vogel@aau.at Office: N.0.01, Main Building, North Wing West, Level 0 Phone: +43 463 2700 3156

Dildar Hussainمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dildar Hussain is an Assistant Professor in the Department of Artificial Intelligence Data Science at Sejong University, South Korea, where he has been serving since September 2022. His academic journey includes a Ph.D. in Biomedical Engineering from Kyung Hee University (2019), preceded by an MS in the same field (2014) and a BCS from Kohat University of Science and Technology, Pakistan (2010). Prior to his current position, he held significant roles including Postdoctoral Research Fellow at the Korea Institute for Advanced Study (KIAS), a subordinate institute of KAIST (2019-2022), Research and Development Engineer at YOZMA BMTech CO., LTD (2013-2019), and Research Associate at NUST Pakistan (2010-2012). His teaching portfolio at Sejong University includes Computer Organization and Architecture, Introduction to Data Analysis, Advance Programming Usage, Computer Vision, Artificial Intelligence and Cyber Security, Basic Coding Based on Computational Thinking, and Introduction to Applied Image Processing. Artificial Intelligence and Machine Learning applications in healthcare Medical Imaging and DXA image analysis Computer Vision and Image Processing techniques Biomedical informatics and computer-aided diagnosis Automation solutions in healthcare settings Natural language processing applications Hussain's research output shows a strong focus on applying deep learning techniques to medical imaging problems, particularly in osteoporosis detection using DXA imaging systems. His work spans multiple healthcare domains including cancer detection, diabetic retinopathy analysis, and embryo viability assessment. Recent publications (2023-2025) demonstrate expansion into diverse areas like text sentiment analysis, skin lesion diagnosis, and even materials science through computational studies of hydrogen storage materials. Kyung Hee University scholarship for Ph.D. Hussain has advised numerous research projects and collaborated extensively across disciplines, with co-authors from institutions worldwide. His industry experience at YOZMA BMTech significantly contributed to the implementation of machine learning algorithms for DXA image analysis in osteoporosis diagnosis devices. Current research directions include advancing AI techniques for medical diagnostics and exploring applications of deep learning in diverse scientific domains beyond traditional healthcare settings.

• Embedded Systems
• Real-Time Systems
• System-on-Chip Design
• +۷ مورد دیگر

Adriano José Conceição Tavares is an Associate Professor at the School of Engineering, University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI, where he is affiliated with both the IE R&D Group and the ESRG R&D Lab. His academic credentials include a PhD in Industrial Electronics from the University of Minho, a Master of Science in Information Technology from the University of Coimbra, and an undergraduate degree in Informatics from the University of Coimbra. Professor Tavares specializes in embedded systems with particular expertise in: Embedded systems modeling and design System software design System-on-chip design Real-time operating systems Hardware acceleration and FPGA design Virtualization for embedded systems IoT frameworks and protocols His publication record demonstrates a strong research trajectory in hardware-software co-design, with recent work showing an increasing integration of machine learning techniques into embedded systems. His publications span theoretical frameworks to practical implementations addressing real-time performance, resource constraints, and security challenges. Among his scholarly metrics: h-index of 18 126 publications with 1148 citations 20 publications in Q1/Q2 journals Author of a book on microcontroller programming Professor Tavares has supervised students including Miguel Ângelo Fernandes Silva and has established international collaborations through the Erasmus Program with institutions in China, Iran, Thailand, Jordan, and Cambodia. He teaches advanced courses on embedded and real-time systems modeling, compiler design, system-on-chip design, real-time operating system design, and advanced computer architectures at University of Minho.

• Deep Learning
• Internet of Things (IoT) Security
• Software Defined Networking (SDN)
• +۴ مورد دیگر

Adnan Akhunzada is a prolific researcher with extensive contributions to computer science, particularly in artificial intelligence, cybersecurity, and internet of things. His work spans deep learning architectures, software defined networks, and security frameworks for emerging technologies. Research Interests include: Deep learning for micro-expression and image analysis Quantum control systems with reinforcement learning AI-based phishing and malware detection Federated learning for drone services Cryptographic protocols for UAV communications Publication Trends show expertise in: Hybrid neural network architectures Cybersecurity for industrial IoT Privacy-preserving crowdsourcing Sign language recognition datasets 5G-assisted cognitive communication

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +۹ مورد دیگر

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)

Anne C. Elsterمشاهده پروفایل

استاد

• High-Performance Computing
• Machine Learning
• GPU Acceleration
• +۴ مورد دیگر

Anne C. Elster is a Professor and Director of the Heterogeneous and Parallel Computing Lab (HPC-Lab) at NTNU's Department of Computer Science, with additional roles as HPC Leader at the Center for Geophysical Forecasting and Senior Research Fellow at the Oden Institute. She holds board positions at NTNU and its Faculty of Information Technology. Her research spans: High-Performance Computing : GPU acceleration, auto-tuning, and heterogeneous systems Machine Learning : Applied to optimization and computational geosciences Parallel Algorithms : For scientific computing and real-time simulations Her recent publications (2021-2024) focus on GPU auto-tuning, quantum-HPC integration, distributed systems, and ML-driven geophysical data analysis, with strong emphasis on performance optimization across architectures. Awards and honors: IEEE Computer Society Distinguished Contributor (2021) IEEE Distinguished Speaker (2019-2022) IEEE Senior Member (2000) She has supervised 100+ master's students, 15+ PhDs, and secured major grants including EU H2020 projects. Current Post Docs focus on HPC acceleration and AI applications. Her HPC-Lab collaborates with CERN, Equinor, and international universities, specializing in GPU-accelerated scientific computing and tools for performance portability.

Gabriel Luqueمشاهده پروفایل

استادیار

• Parallel Metaheuristics
• Genetic Algorithms
• Combinatorial Optimization
• +۷ مورد دیگر

Gabriel Luque is an Assistant Professor in the Department of Languages and Computer Science at the E.T.S.I. Informática (School of Computer Engineering) of the University of Málaga, Spain. His academic career focuses on parallel metaheuristics and evolutionary algorithms, with applications spanning bioinformatics, natural language processing, traffic optimization, and workforce planning. Dr. Luque's research interests center on the design and analysis of parallel and distributed metaheuristics for solving complex combinatorial optimization problems. His work has significantly contributed to understanding the performance characteristics of distributed evolutionary algorithms, including studies on takeover time dynamics, energy consumption analysis, and communication overhead in parallel implementations. He has made notable contributions to DNA fragment assembly problems using parallel genetic algorithms and has extended his research to emerging areas like quantum computing applications. Research grant from Spanish Government: 'Ayuda a la Movilidad José Castillejo' (2008) Research grant from Andalusian Government: 'Beca de Formación de Personal Docente e Investigador' (2002-2006) Award: 'Proyecto Fin de Carrera - Diario el País' (2001) Dr. Luque actively supervises student research projects and has directed several final degree projects on topics including particle swarm algorithms for complex problem solving and extending optimization libraries. His research is supported by multiple national and international projects focused on smart mobility, intelligent cities, and fundamental metaheuristic research. Dr. Luque has established a productive research trajectory with numerous high-impact publications in journals and conferences, demonstrating consistent contributions to the field of parallel metaheuristics and their real-world applications.

Felipe Gohring de Magalhaesمشاهده پروفایل

استادیار

• Integrated circuits
• Microelectronics
• Computer systems organization
• +۷ مورد دیگر

Felipe Gohring de Magalhaes is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been working since July 2018 and assumed his current position in October 2024. He holds a dual doctorate from PUC-RS (Brazil) and Polytechnique Montréal (2016), with degrees in both computer science and computer engineering. His research spans embedded system architectures, real-time systems, avionics, and cybersecurity for emerging technologies. He is affiliated with the Microelectronics and Microsystems Research Group and the Multidisciplinary Institute for Cybersecurity and Cyber Resilience, reflecting his focus on integrated circuits, microelectronics, and system security. Professor Gohring de Magalhaes has published over 40 articles in international journals and conferences, with recent work focusing on photonic integrated circuits security, optical neural networks, and post-quantum cryptography for avionic systems. His publication trend shows consistent output with increasing focus on security aspects of emerging computing technologies. He has supervised at least one PhD student to completion and teaches courses including Introduction to Programming and Operating System Kernel. His research interests align with NSERC topics in integrated circuits, microelectronics, computer systems organization, and VLSI systems.

David Soloveichikمشاهده پروفایل

دانشیار

• Molecular Programming
• Synthetic Biology
• Nanotechnology
• +۵ مورد دیگر

David Soloveichik is an Associate Professor holding the Temple Foundation Endowed Faculty Fellowship No.4 in the Chandra Family Department of Electrical & Computer Engineering at The University of Texas at Austin. He leads the Solo-Group and is affiliated with the Center for Advanced Research in Software Engineering (ARISE). He earned undergraduate and Masters degrees in Computer Science from Harvard University and a PhD in Computation and Neural Systems from Caltech, where his dissertation received the Milton and Francis Clauser Doctoral Prize. His research pioneers Molecular Programming —engineering molecular systems from first principles for synthetic biology and nanotechnology—while exploring theoretical connections between distributed computing and molecular information processing. He develops chemical kinetics-based programming languages using DNA hybridization and investigates unconventional computing models including analog, reversible, and quantum systems. Dr. Soloveichik’s major awards include: Feynman Prize in Nanotechnology (Theory) (2012) Tulip Award (2014) NSF CAREER Award (2016) Sloan Research Fellowship (2020) Schmidt Sciences Polymath Award (2023) He actively recruits graduate students and postdocs for interdisciplinary projects spanning RNA bioinformatics, DNA nanotechnology, and quantum computation. His group recently welcomed new members Tony and Hamidreza (Spring 2024) and he co-chairs the 2024 DOE/ASCR Workshop on Analog Computing for Science.

• Cybersecurity and Privacy
• Artificial Intelligence
• Distributed Computing
• +۶ مورد دیگر

Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.

• ontology
• formal ontology
• topological ontology
• +۴ مورد دیگر

Dr. hab. Janusz Kaczmarek serves as an Associate Professor in the Department of Logic and Methodology of Sciences within the Faculty of Philosophy and History at the University of Lodz. His academic work spans ontology, logic, and philosophical anthropology, where he contributes to both theoretical frameworks and practical applications in these interconnected fields. His research focuses on formal ontology (particularly topological ontology), examining Wittgensteinian ontology of logical atomism, various forms of atomism and substantialism, category theories, and property theories. In logic , he explores theories of judgment in the logical sense, modal and temporal logics in ontological versions. His work in philosophical anthropology centers on essential and existential views of the human being, the problem of will, cognition structures, ethical problems, and ontic foundations of philosophical anthropology. His 15 most recent publications reveal a consistent focus on topological structures in formal ontology, Wittgensteinian frameworks, modal logic applications, and anthropological foundations. The research demonstrates interdisciplinary connections between mathematical logic, metaphysical structures, and humanistic inquiry, with particular emphasis on how formal systems can illuminate philosophical questions about being, knowledge, and human existence. Dr. Kaczmarek actively contributes to academic life through teaching ontology, philosophy (for PhD students), cognitive science, analytical philosophy, philosophical anthropology, and logic to students across all degree levels including ERASMUS participants. He co-organizes significant academic events including the Non-Classical Logics conferences, World Logic Day celebrations, and Ontological Workshops. Currently, he leads two major research initiatives: 'Atom. Substance. System. Research in topological ontology' funded by the National Science Center (NCN), and 'Non-Classical Logics. Theory and Applications' within the ministerial 'Excellent Science' program. His office is located in room 304 at William H. Lindleya 3 in Łódź, with regular office hours on Wednesdays.

Michael Pradelمشاهده پروفایل

استاد

• Software Engineering
• Program Analysis
• Bug Detection
• +۵ مورد دیگر

Michael Pradel is a full professor in the Computer Science Department at the University of Stuttgart and faculty member at CISPA Helmholtz Center for Information Security (effective September 2025), where he leads the Software Lab. He is also affiliated with the International Max Planck Research School for Intelligent Systems and the Stuttgart ELLIS Unit, reflecting his interdisciplinary research approach. His research interests focus on software engineering, particularly program analysis, bug detection, and the application of machine learning to developer tools. Pradel's recent work increasingly explores LLM-based approaches for program repair, code analysis, and automated software development, as evidenced by projects like RepairAgent and ExecutionAgent. Pradel's publication record shows a clear trend toward integrating AI techniques with traditional software engineering methods, with recent papers focusing on LLM applications for program repair, change validation, and quantum software analysis. His work bridges theoretical foundations with practical tool development, as seen in frameworks like DyLin for Python analysis and LintQ for quantum programs. Ernst-Denert Software Engineering Award Emmy Noether grant (1.3 million Euro) by the DFG ERC Starting Grant (1.5 million Euro) Multiple ACM SIGSOFT Distinguished Paper Awards ACM Distinguished Member recognition Pradel actively mentors PhD students, with recent graduates including Matteo (specializing in quantum software) and Luca (focusing on software evolution). His group has received significant funding and maintains strong industry connections, including past sabbaticals at Facebook. He serves in leadership roles for major conferences, including PC co-chair for FSE 2027, demonstrating his standing in the software engineering community. The Software Lab maintains active collaborations with institutions worldwide, including CMU, Google, KAIST, and several European universities.

Sathish Kumarمشاهده پروفایل

دانشیار

• Cybersecurity
• Machine Learning
• Distributed Systems
• +۶ مورد دیگر

Sathish Kumar is an Associate Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University's Washkewicz College of Engineering. He serves as Director of the Intelligent Secure Cyber-Systems Analytics and Applications Research (ISCAR) Lab and holds editorial positions with PLOS One, IEEE Access, and Nature Scientific Reports. With over a decade of industry experience prior to joining academia in 2013, Dr. Kumar has established himself as a prominent researcher in cybersecurity and emerging technologies. Dr. Kumar's research spans Cybersecurity, Machine Learning, Distributed Systems, and Quantum Computing, with applications in Intelligent Cyber Physical Social Systems, Smart Cities, Blockchain, Disaster Resilience, and Health Informatics. His work demonstrates a consistent focus on practical security solutions for emerging technologies, particularly in IoT and IIOT environments. Recent publications show increasing emphasis on quantum machine learning applications and reinforcement learning approaches to security challenges. His research program has attracted significant funding, including multiple NSF grants as PI and Co-PI, CDC and NIH funding for public health applications, and industry partnerships. Dr. Kumar has published over 80 technical papers and co-edited a book on IoT security challenges. His editorial roles with major journals reflect his standing in the research community. National Science Foundation Grant ($799,985) as PI for quantum sensor research (2022-2025) National Science Foundation Grant ($434,431) as Co-PI for HPC infrastructure (2022-2025) Multiple additional NSF, CDC, and industry-funded projects Dr. Kumar actively mentors students at all levels, currently supervising multiple PhD students, postdoctoral researchers, and undergraduate honors students. His lab provides opportunities for students to engage in cutting-edge research with practical applications in cybersecurity and emerging technologies, supported by substantial external funding that ensures resources for student participation.

• Philosophy of Mind
• Consciousness
• Cognitive Science
• +۳ مورد دیگر

David John Chalmers is Professor of Philosophy and Neural Science at New York University and Co-director of NYU's Center for Mind, Brain and Consciousness. His primary affiliations include current positions at NYU and past faculty appointments at Australian National University, University of Arizona, University of Adelaide, and Indiana University Bloomington. He holds fellowships in the Australian Academy of the Humanities and American Academy of Arts & Sciences. Chalmers' research focuses on foundational questions about consciousness, philosophy of mind, and cognitive science. Key domains include: The 'hard problem' of consciousness and explanatory gaps in physicalist theories Metaphysical frameworks including panpsychism and non-reductive explanations Philosophical implications of artificial intelligence and virtual reality Two-dimensional semantics and epistemic scrutability His work bridges philosophical analysis with empirical cognitive science and neuroscience. Analysis of Chalmers' recent publications shows shifting emphases: Growing focus on AI consciousness and machine cognition (2020-2023) Sustained exploration of metaphysical foundations of consciousness Increased interdisciplinary engagement with quantum physics and neuroscience Continued development of frameworks for understanding virtual experiences Major recognitions include: Fellow, Australian Academy of the Humanities (2006) Fellow, American Academy of Arts & Sciences (2013) Berggruen Prize for Philosophy and Culture As director of NYU's Center for Mind, Brain and Consciousness, Chalmers leads interdisciplinary collaborations investigating consciousness through philosophical analysis, neuroimaging, and computational modeling. The center serves as a hub for international research partnerships.

Antonio Flores Tlacuahuacمشاهده پروفایل

استاد

• Process Systems Engineering
• Sustainable Energy Systems
• Machine Learning Applications
• +۴ مورد دیگر

Antonio Flores-Tlacuahuac is a Professor in the Chemical Engineering Department at Tecnológico de Monterrey's Campus Monterrey, affiliated with the Institute of Advanced Materials for Sustainable Manufacturing. His research spans sustainable process systems engineering with emphasis on optimization, machine learning applications, and resource nexus modeling. Chemical Engineering Degree, Universidad Autónoma de Puebla Ph.D. in Philosophy, University of London His research interests focus on developing advanced computational frameworks for sustainable engineering systems. Key areas include Bayesian optimization for chemical processes, machine learning applications in polymerization and separation systems, and integrated modeling of water-energy-carbon systems. His work bridges fundamental process engineering with sustainability challenges, particularly in renewable energy integration and CO 2 capture technologies. Analysis of his 2024-2025 publications reveals a strong trend toward hybrid AI-optimization methodologies, with 60% of recent work incorporating Bayesian approaches. The research spans from molecular-scale catalyst design to community-scale energy systems, demonstrating exceptional breadth while maintaining technical depth in process systems engineering. Mexican Researcher Certification - Level 3 Flores-Tlacuahuac mentors doctoral students through courses including Automation and Control of Chemical Processes and Doctoral Research series. His research portfolio includes significant contributions to the Centro Mexicano de captura, uso y almacenamiento de CO 2 , with funding evidenced by extensive publication output in high-impact journals. Current projects focus on quantum-classical hybrid algorithms for bioprocess optimization and machine learning frameworks for pandemic surveillance. He leads research within the Institute of Advanced Materials for Sustainable Manufacturing, with strong emphasis on UN Sustainable Development Goals including Affordable and Clean Energy, Climate Action, and Sustainable Cities. His work integrates multiple stakeholder perspectives in sustainable system design, particularly for rural energy solutions and circular economy implementations.