جست‌وجوی استاد و پژوهشگر

Semiha Tedik Başaranمشاهده پروفایل

استادیار

• Wireless communications
• Network coding
• 5G and beyond networks
• +۷ مورد دیگر

Semiha Tedik Başaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University's Faculty of Electrical and Electronics Engineering. She received her PhD in Telecommunications Engineering from Istanbul Technical University in 2019 and has been working at the university since 2011, first as a Research Assistant and then as an Assistant Professor starting in 2020. Her educational background includes: PhD in Telecommunications Engineering from Istanbul Technical University (2013-2019) MSc in Telecommunications Engineering with Thesis from Istanbul Technical University (2011-2013) Bachelor's Degree in Electronics and Communication Engineering (Double Major) from Istanbul Technical University (2006-2011) Dr. Başaran's research focuses on wireless communications, network coding, and next-generation wireless networks. Her work spans theoretical analysis and practical implementation of communication systems, with particular emphasis on network coded cooperation, physical layer security, and wireless network reliability. She has made significant contributions to understanding the performance of network coded systems in various wireless environments, including satellite communications and 5G/6G networks. Her recent publications demonstrate a growing interest in integrating artificial intelligence with wireless communications, particularly for IoT applications and edge computing, while also advancing research in THz communication systems and their challenges in adverse weather conditions. Her scientific achievements have been recognized with several prestigious awards: Doctoral Thesis Award from Istanbul Technical University (2020) IEEE Türkiye Doctoral Thesis Award (2020) Best Poster Award at IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE-2016) (2016) Dr. Başaran serves as Principal Investigator for multiple research projects including 'Designing 5G and Beyond Cellular Private Networks Secure Against DDoS Attacks,' 'Performance Analysis of THz Communication Systems,' 'Coverage Analysis of LEO Satellite Systems,' and 'Development of Multiple Access Techniques Providing Low Latency Performance for Next Generation Communication Systems.' Her h-index of 8 (based on Scopus) reflects her impactful contributions to the field of wireless communications, with 36 research outputs spanning from 2013 to 2024. She maintains an active research lab focused on wireless communications and network coding, where her team works on both theoretical analysis and practical implementation of next-generation communication systems using software-defined radio platforms, with strong international collaborations extending across multiple countries as indicated by her research footprint.

• Biomechanics
• Kinesiology
• Human Gait Analysis
• +۷ مورد دیگر

Dr. Jesse Lee Rhoades is a Full Professor in the Department of Kinesiology and Public Health Education at the University of North Dakota, specializing in biomechanics, human movement analysis, and spaceflight mobility. His NASA-funded research focuses on astronaut locomotion, space suit design, and lunar gait dynamics. He teaches courses including Biomechanics, Motor Development, Research Methods, and Motion Capture. Education: Ph.D. in Kinesiology, University of Illinois at Urbana-Champaign (2010) M.A. in Exercise Science, Indiana State University (2006) B.S. in Physical Education Teaching, Indiana State University (2002) A.S. in Physical Education, Parkland Community College (1999) Research Interests: Dr. Rhoades investigates human movement under reduced gravity, motor learning, and complex systems in education. Key areas include lunar foot dynamics, gait coordination, nonconscious mimicry in physical education, and ecological dynamics in sports. His work bridges biomechanics with space medicine, emphasizing practical applications for astronaut training and inclusive space exploration. Publications Trends: Recent articles (2020–2025) focus on space medicine (lunar locomotion, space suit ergonomics) and pedagogical innovation (motor learning, ecological dynamics). Biomechanics and kinesiology dominate, with emerging themes in inclusivity for parastronauts and adaptive movement strategies in altered gravity. Grants & Projects: NASA-funded studies on parastronaut mobility and space suit performance (2021–2022, $200,000+) U.S. Army Research on cognitive workload during CBRN missions (2022, $499,999) International collaboration on complexity in physical education (Brazil Ministry, 2021, ~$17,772) Mentorship & Service: Actively supervises graduate students, serves on dissertation committees, and holds leadership roles in academic organizations. Contributes to peer review for biomechanics and kinesiology journals.

Fred Callawayمشاهده پروفایل

استادیار

• Computational Cognitive Science
• Human Decision-Making
• Metacognition
• +۴ مورد دیگر

Dr. Fred Callaway is a computational cognitive scientist currently serving as a postdoctoral researcher at New York University and Harvard University, with prior academic training at Princeton University (PhD) and Cornell University (BA). Starting Fall 2026, he will join Dartmouth College as an Assistant Professor in the Cognitive Science Program, where he will establish a research group focused on understanding human cognition through computational models. His research examines how human cognitive processes emerge from interactions between environmental structure and internal computational constraints. Key contributions include developing metalevel Markov decision process models to explain attentional control, memory systems, and planning mechanisms. His work combines Bayesian modeling, process-tracing methods, and cross-domain empirical validation. PhD in Psychology, Princeton University (Advisor: Thomas Griffiths) B.A. in Psychology and Linguistics, Cornell University (Advisor: Shimon Edelman) Affiliated with NYU and Harvard (2024-2026) Recent publications analyze optimal information sampling, hierarchical planning biases, and metacognitive strategy selection. He is actively recruiting graduate students for his Dartmouth lab, focusing on computational approaches to cognition and decision-making under bounded rationality.

• Machine Learning
• Artificial Intelligence
• Human-AI Collaboration
• +۳ مورد دیگر

Burcu Sayin Günel serves as a Research Fellow at the Department of Information Engineering and Computer Science, University of Trento, where she conducts cutting-edge research at the intersection of artificial intelligence and real-world critical systems. Her work bridges theoretical machine learning with practical implementations in high-stakes environments requiring human oversight. Her research portfolio centers on: Value-aware and cost-sensitive machine learning frameworks Human-AI collaboration mechanisms for medical diagnostics Safety-critical integration of ML in cyber-physical infrastructure Hybrid intelligence systems combining human cognition with algorithmic processing Active learning optimization for resource-constrained scenarios Economic valuation of machine learning models Analysis of her 2021-2025 publications reveals a consistent trajectory toward making AI systems more reliable, economically viable, and human-compatible. Key contributions include novel methodologies for prediction rejection in critical CPS, collaborative diagnostic tools like MedSyn for physician-AI teams, and value-based active learning frameworks that optimize data acquisition costs. Her work increasingly addresses medical domain challenges while maintaining strong foundations in cyber-physical systems safety. No scientific awards, grant funding details, or student supervision activities were documented in the available materials. Similarly, no specific laboratory affiliations or team leadership roles were mentioned within the provided institutional context.

Johan Eddeboمشاهده پروفایل

دانشیار

• Metaphysics
• Philosophy of Mind
• Philosophy of Science
• +۵ مورد دیگر

Johan Eddebo serves as an Associate Professor of Philosophy of Religion at Uppsala University, affiliated with the Department of Theology and the Center for Multidisciplinary Research on Religion and Society (CRS). His academic profile integrates philosophical inquiry with theological perspectives to examine technology's societal implications, particularly regarding democracy and human dignity. Eddebo's research spans metaphysics, philosophy of mind, philosophy of science, and epistemology, with a distinctive focus on how worldviews interact with technological development and political structures. Drawing from analytical philosophy while incorporating phenomenological, medieval, and Aristotelian traditions, his work addresses contemporary challenges such as AI governance, hate speech regulation, and the metaphysical dimensions of digital culture. Current projects include the WASP-HS initiative Artificial Intelligence, Democracy and Human Dignity , which investigates how algorithmic systems shape democratic processes and societal values. Analysis of Eddebo's recent publications (2022-2025) reveals three dominant thematic clusters: (1) ethical and political dimensions of artificial intelligence, particularly concerning governance transparency and democratic integrity; (2) hate speech dynamics in digital spaces, combining technical detection methods with philosophical analysis of free expression; and (3) metaphysical explorations of technology's impact on human subjectivity, often bridging Western and non-Western philosophical traditions. His interdisciplinary approach consistently connects historical religious thought with contemporary technological challenges. Scientific Awards : No awards documented in available sources Eddebo participates in major collaborative research initiatives, notably the Wallenberg-funded WASP-HS program, though specific grant details remain undisclosed. His mentorship activities and formal student supervision are not publicly enumerated in the provided materials. Within Uppsala University's Center for Multidisciplinary Research on Religion and Society (CRS), Eddebo contributes to interdisciplinary teams examining religion's evolving societal role. His current work in the WASP-HS project involves cross-institutional collaboration between humanities scholars, social scientists, and technical experts to develop frameworks for responsible AI development that uphold democratic values and human dignity.

Yagmur Deniz Kisaمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Development
• Cultural Diversity in Cognition
• Spatial Cognition
• +۱ مورد دیگر

Yağmur Deniz Kısa is a Postdoctoral Researcher and Humboldt Research Fellow at the Department of Comparative Cultural Psychology within the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. Her work investigates cultural influences on cognition, focusing on gesture-speech relationships and spatial-temporal perception. Education: University of Chicago (PhD Psychology), Koç University (BA Psychology & Philosophy) Research Interests include cultural variability in cognition, co-speech gestures, spatial-temporal perception, and language-acquisition dynamics. She employs cross-cultural and experimental approaches to study how diverse populations shape cognitive frameworks. Publications reflect her focus on gesture-speech integration and cultural impacts on time perception. Notable outlets include Cognition , Journal of Experimental Psychology: General , and Frontiers in Psychology . Scientific Awards Humboldt Research Fellowship Her research bridges cognitive science and cultural psychology, examining how embodied communication and environmental factors influence human thinking.

Evan Riskoمشاهده پروفایل

استاد

• Cognitive Psychology
• Memory Research
• Educational Technology
• +۳ مورد دیگر

Evan Risko is a Professor and Associate Chair (Graduate Affairs) at the University of Waterloo . His research focuses on cognitive psychology, memory systems, and educational technology. Key areas include cognitive offloading, metacognition, attention dynamics, and the impact of technology on learning. He explores how external memory aids influence cognitive processes, effects of lecture playback speed on retention, and factors modulating mind-wandering. His work spans experimental psychology and applied educational strategies. Recent articles address topics like effort perception, video lecture optimization, and narcissism’s metacognitive effects. He contributes to theoretical debates on memory encoding and retrieval efficiency. Risko’s research emphasizes bridging lab findings to real-world educational practices, with a focus on optimizing learning through cognitive science principles.

Loknath Sai Ambatiمشاهده پروفایل

استادیار

• Health Information Technology
• Population Health
• Health Informatics
• +۲ مورد دیگر

Loknath Sai Ambati serves as the Ronnie K. Irani Data Analytics Assistant Professor for Data Analytics and Artificial Intelligence within the Department of Data Analytics & Economics at Oklahoma City University's School of Business. His academic foundation includes a Ph.D. in Information Systems specialized in Artificial Intelligence, an M.S. in Data Analytics, and a B.Tech. in Electronics and Communication Engineering. His research portfolio spans critical domains including Health Information Technology, Population Health, Health Informatics, Social Media Mining, and Data Analytics. Ambati focuses on integrating AI and analytics to solve healthcare challenges, particularly in telemedicine security, IoT healthcare systems, and population health management. His work consistently addresses data privacy, security frameworks, and the societal implications of digital health technologies. Analysis of his 15 most recent publications (2022-2025) reveals a dominant focus on healthcare technology convergence. Key thematic clusters include blockchain-enhanced telemedicine security (4 articles), AI-driven IoT healthcare systems (3 articles), and social media mining for public health insights (2 articles). Secondary themes encompass network security protocols, biomechanics applications, and gender bias analysis in digital marketplaces, demonstrating interdisciplinary rigor across computer science, healthcare, and social informatics. Scientific recognition includes publication in high-impact venues such as BMC Medical Informatics and Decision Making, Journal of Intelligent and Fuzzy Systems, and IEEE Transactions. His peer review contributions span over 25 prestigious outlets including IEEE Transactions on Industrial Informatics, International Journal of Environmental Research and Public Health, and HICSS. Ambati maintains active academic service as a referee for major conferences (AMCIS, HICSS) and journals across computing and healthcare domains. His departmental role emphasizes bridging theoretical data analytics with practical business applications, particularly in healthcare innovation. No laboratory or team affiliations were specified in source materials.

Terry Toddمشاهده پروفایل

استاد

• Wireless Communications
• Computer Networks
• Energy-Efficient Networking
• +۵ مورد دیگر

Professor Terry Todd is a faculty member in the Department of Electrical & Computer Engineering at McMaster University. He holds a B.A.Sc., M.A.Sc., and Ph.D. from the University of Waterloo. His research focuses on wireless communication networks, energy-efficient systems, and solar-powered networking (e.g., SolarMESH). He has held industry research roles at AT&T Bell Labs, Olivetti Research Lab, and Research In Motion (RIM). He currently teaches courses like ECE 727: Wireless Communication Networks and directs a research group exploring wireless mesh networks and VoIP. Education: B.A.Sc., M.A.Sc., Ph.D. (Electrical Engineering, University of Waterloo) Research Interests: Computer networks, wireless communications, energy-sustainable mesh networking, smart antennas, and performance evaluation. His work emphasizes practical applications in industry and academia. Key Contributions: Former NSERC/RIM/CITO Research Chair on wireless networks Principal Investigator on multiple optical/wireless networking projects Developed the SolarMESH solar-powered WLAN mesh network Teaching & Advising: Adviser for the Electrical Engineering undergraduate program. Courses include advanced internet communications, computer communication networks, and signals/systems. Grants & Infrastructure: Extensive industry funding from Canadian telecommunications sectors. Active in developing green vehicular infrastructure and energy-efficient protocols. Labs & Teams: Leads the Wireless Networking Group at McMaster, focusing on wireless mesh networks and vehicular communication systems.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +۴ مورد دیگر

Jiankang Zhang is a Senior Lecturer in Computer Science at Bournemouth University, UK. He previously held positions at the University of Southampton (Senior Research Fellow) and Zhengzhou University (Lecturer/Associate Professor). His research focuses on massive MIMO , aeronautical communications , optimization algorithms , and edge computing , with applications to UAV networks, visible light communication (VLC), and physical layer security. Education: PhD in Communication and Information Systems (Zhengzhou University, 2012), BSc in Mathematics and Applied Mathematics (Beijing University of Posts and Telecommunications, 2006) His recent work explores reconfigurable intelligent surfaces (RIS) for secure transmissions, UAV-assisted networks , and multi-agent reinforcement learning for resource allocation in NOMA-V2X systems. He contributes to IEEE journals as an Associate Editor and Guest Editor. Scientific Awards: IEEE Senior Member (2018), Outstanding Associate Editor (IEEE Access, 2020), Workshop Chair (IRSCN), Guest Editor roles His article trends emphasize 5G/6G , secure wireless communication , machine learning-aided network optimization , and UAV mobility , with a focus on balancing security vs. efficiency in next-generation networks.

Eleni Straitouriمشاهده پروفایل

استاد

• Machine Learning
• Causal Inference
• Large Language Models
• +۴ مورد دیگر

Eleni Straitouri is a Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany, where she leads research at the intersection of artificial intelligence safety and human-centered decision systems. Her work bridges theoretical machine learning with practical applications in high-stakes environments requiring rigorous uncertainty quantification and causal reasoning. Her primary research focuses on causal inference in large language models , counterfactual prediction sets , and human-AI complementarity . She develops methods to control algorithmic harm through counterfactual reasoning, enhances model evaluation via conformal prediction, and designs decision support tools that leverage human expertise. Current projects address critical challenges in LLM safety, including bias detection through coupled token generation and harm mitigation in medical/operational decision systems. Analysis of her 13 publications (2021-2025) reveals an evolving trajectory from reinforcement learning foundations toward cutting-edge LLM safety frameworks. Her work consistently integrates causal methods with human factors, producing practical tools for reliable AI deployment across healthcare and operational domains. Recent NeurIPS/ICML publications demonstrate increasing influence in trustworthy AI research. Best Paper Award, Workshop on AI and HCI (ICML), 2023 Spotlight Paper (top 3.5%), ICML 2024 Dr. Straitouri maintains active collaborations with Manuel Gomez-Rodriguez's research group, evidenced by co-authorship on 100% of her recent publications. While specific grant funding isn't detailed in available materials, her work aligns with MPI-SWS's focus on software systems for societal benefit. No information about academic advising or laboratory infrastructure was found in the provided text.

Xavier Fernandoمشاهده پروفایل

استاد

• Optical Communication
• Wireless Communication Systems
• Signal Processing
• +۴ مورد دیگر

Xavier Fernando is a Professor and Director of the TMU Intelligent Communication and Computing Laboratory at Toronto Metropolitan University's Department of Electrical and Computer Engineering. His academic career includes leadership roles such as Chair of IEEE Canada Humanitarian Initiatives (2017-18), General Chair of IEEE International Humanitarian Technology Conference (2017), and Board Member of Ryerson University (2011-12). He has authored over 200 research papers, three books, and holds multiple patents, with research focused on optical/wireless communication systems, cognitive radio, and vehicular visible light communications. Research interests span signal processing for underground communications, MAC layer protocols, and energy-efficient networks. Notable awards include IEEE Communications Society Distinguished Lecturer (2012-2013), Engineering Excellence Award (2016), and finalist for Top 25 Canadian Immigrants (2012). His lab, established since 2008, has secured $3.185 million in funding. Contributions include pioneering work in RF energy harvesting, smart grid technologies, and underground communication systems for mining safety. Professional service includes roles as IEEE Toronto Section Chair, member of IEEE Education Board, and evaluator for ABET. Key publications address heterogeneous networks, cognitive radio performance, and VLC vehicular applications. Students and alumni are tracked via LinkedIn groups, with notable projects winning IEEE MTT prizes and engineering accolades.

Lian Zhaoمشاهده پروفایل

استاد

• Wireless Communications
• Edge Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Lian Zhao is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University. She holds a Ph.D. from the University of Waterloo and has been with the university since 2003. Her research focuses on wireless communications, edge computing, vehicular networks, and resource management. She is a Fellow of the IEEE and multiple professional organizations. Education: B.Sc. (Civil Aviation University of China, 1990), M.S. (Wuhan University, 1993), Ph.D. (University of Waterloo, 2002), all in electrical engineering. Research Interests include green communication, IoT, centralized/distributed resource management, and incentive mechanisms. She leads the Intelligent Communication and Computing Laboratory and teaches courses such as Digital Communications and Random Processes. Awards include the IEEE VTS Best Land Transportation Paper Award (2016 and 2024), Outstanding New Leader Award (2021), and CFI New Opportunity Award (2004). She serves as an editor for multiple journals, including IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal. Advising: Supervised over 30 graduate students, including Ph.D. and Master’s candidates in areas like vehicular networks, edge computing, and resource allocation. Active in funded research projects on 6G networks, UAV communications, and smart grid systems. Labs/Teams: Leads the Intelligent Communication and Computing Lab, contributing to innovations in vehicular ad-hoc networks, IoT, and green communication technologies.

• Machine Learning
• Fault Diagnosis
• Signal Processing
• +۶ مورد دیگر

Ke Zhao is a prolific researcher with extensive contributions in interdisciplinary domains spanning computer science, mechanical engineering, biomedical engineering, and neuroscience. His work focuses on advanced machine learning techniques applied to fault diagnosis, medical imaging analysis, and real-world systems optimization. Key areas of expertise include federated learning, domain adaptation, and deep learning for industrial and healthcare applications. Primary research themes: Fault diagnosis in rotating machinery, computer vision for satellite imagery, and neural network applications in healthcare. Collaborations with institutions globally on projects involving edge computing, battery management systems, and genetic status prediction in gliomas. Recent advancements include breakthroughs in federated domain adaptation frameworks for gearbox fault detection and immersive VR systems for cultural empathy. His work bridges theoretical machine learning with practical engineering solutions.

Gustav Jarlمشاهده پروفایل

دانشیار

• Diabetic Foot Complications
• Medical Devices and Assistive Technology
• Lower Limb Amputations
• +۴ مورد دیگر

Gustav Jarl is an Associate Professor of Medicine at Örebro University in Sweden, affiliated with the School of Health Sciences. He is a member of the Research Enabling an Active Life (REAL) research environment and the Treatment in Upper and lower limb Malformation or Amputation (TUMA) research group. His primary research focuses on diabetic foot complications, including developing assistive devices to prevent ulcers, studying regional variations in lower limb amputations, and investigating patient adherence to therapeutic footwear. He actively collaborates internationally, particularly with the International Working Group on the Diabetic Foot (IWGDF) on guideline development and systematic reviews. Dr. Jarl has participated in projects such as analyzing socioeconomic risk factors for amputations and validating clinical instruments for disability assessment. He serves on regional healthcare committees like Kompetensgrupp Sår (Wound Competence Group) and reviews for international journals. His recent work includes studies on post-stroke fatigue comorbidities and adherence to prescribed footwear among diabetic patients. His research outputs span over 60 peer-reviewed articles, with topics ranging from diabetic foot ulcers to stroke recovery. Key collaborations include the IWGDF’s 2023 updated guidelines on foot ulcer offloading and studies on innovative therapeutic footwear designs. His contributions bridge clinical practice and assistive technology, emphasizing patient-centered care and evidence-based interventions.