جست‌وجوی استاد و پژوهشگر

Junjian Qiمشاهده پروفایل

دانشیار

• Electric power systems
• Cascading failure
• Microgrid control
• +۲ مورد دیگر

Junjian Qi serves as the Hohbach Endowed Associate Professor in the Department of Electrical Engineering and Computer Science at South Dakota State University's College of Engineering, holding this position since 2023. His academic journey includes prior appointments as Assistant Professor at Stevens Institute of Technology (2020-2023) and University of Central Florida (2017-2020), along with research roles at Argonne National Laboratory and University of Tennessee. His educational background includes: Ph.D. in electrical engineering from Tsinghua University, Beijing, China (2013) B.E. in electrical engineering from Shandong University, Jinan, China (2008) Dr. Qi's research centers on electric power systems resilience, with particular expertise in cascading failure mechanisms, microgrid control architectures, cyber-physical security vulnerabilities, and synchrophasor applications. His work integrates advanced data analytics and machine learning techniques to enhance grid stability against extreme weather events and cyber threats. Current investigations focus on developing distributed control strategies for inverter-dominated grids and modeling system interdependencies during failure propagation. Analysis of his 15 most recent publications (2021-2024) reveals a strong methodological shift toward data-driven approaches for power system challenges. Key trends include machine learning applications for cascading failure prediction, novel distributed control frameworks for AC/DC microgrids, and cybersecurity enhancements for inverter-based resources. His work consistently bridges theoretical models with real-world utility data, particularly evident in multiple Best Paper Award-winning publications analyzing actual outage sequences. Dr. Qi's scientific recognition includes: NSF CAREER Award (2020) Three consecutive Best Paper Awards at IEEE PES General Meetings (2022-2024) World's Top 2% Scientist designation in energy (2020-2023) IEEE PES Outstanding Working Group Award (2023) Multiple journal Best Paper Awards (IEEE Transactions on Power Systems, Journal of Modern Power Systems) He currently leads significant research initiatives including an NSF CAREER project ($500k) on cascading failure analysis and an NSF collaborative grant ($219k) for grid stability, alongside previous DOE funding ($1.8M) for cybersecurity of distributed energy resources. His service includes editorial roles for IEEE Transactions on Power Systems and IEEE Power Engineering Letters, plus leadership in IEEE PES technical committees focused on voltage control and smart grid security.

• Consumer Behavior
• Marketing
• Cognitive Sciences
• +۵ مورد دیگر

Dr. Rajesh Bhargave is an Associate Professor of Marketing at the Department of Analytics, Marketing and Operations within Imperial Business School, Imperial College London. He holds a B.B.A. from the University of Texas at Austin and a Ph.D. from the Wharton School of the University of Pennsylvania. His research focuses on consumer behavior, particularly how social contexts and digital tools influence decision-making and product evaluations. Dr. Bhargave’s academic journey includes prior faculty positions at the University of Texas at San Antonio before joining Imperial College London. He teaches across programs including MBA, Executive Education, and Pre-experience Masters, emphasizing practical application of marketing principles. His research explores two primary areas: (1) the impact of social environments on product preferences, analyzing shared versus solitary consumption experiences, and (2) how online technologies reshape consumer decision-making processes. Key topics include hedonic judgments, numerical processing in choices, and the psychological effects of digital cues like 'cloud' reminders. His publications span journals such as Journal of Consumer Research and Psychological Science , reflecting a strong focus on behavioral economics and consumer psychology. Notable themes include 'collective satiation,' 'cue-of-the-cloud effects,' and the role of round numbers in consumer perceptions of product longevity. Dr. Bhargave has advised students such as JORGE PENA-MARIN and Nicole Votolato Montgomery. While no scientific awards are explicitly listed, his work contributes significantly to marketing theory and practice. His research and teaching underscore the intersection of technology, social dynamics, and consumer behavior.

HO Han Kiatمشاهده پروفایل

دانشیار

• Chronic Liver Diseases
• Drug-Induced Liver Injury
• Nanomaterials in Medicine
• +۵ مورد دیگر

A/Prof HO Han Kiat is an Associate Professor in the Department of Pharmacy and Pharmaceutical Sciences at the National University of Singapore. His research focuses on chronic liver disease progression (from fatty liver to cancer) and drug-induced liver injury mechanisms. He explores nanomaterial applications in disease modification and drug delivery, using techniques like high-throughput sequencing and preclinical collaborations with clinicians. His work bridges cancer biology and toxicology, emphasizing clinical relevance through patient sample correlations. He teaches courses such as PR4207 Applied Pharmacokinetics & Toxicokinetics and FSC4203 Forensic Toxicology & Poisons. His lab’s vision involves developing molecular interventions for liver disorders through in vitro/vivo models. Notable interests include nanomaterial toxicity, hepatoprotective strategies, and cytokine profiles in cognitive impairment post-chemotherapy. Recent articles highlight studies on BDNF biomarkers, gold nanoparticle vascular targeting, and therapeutic hypothermia for hepatotoxicity. His research integrates genetic polymorphism analysis (e.g., CYP7A1) with drug metabolism studies, emphasizing personalized medicine approaches. HO’s work also addresses educational innovations in pharmacy curricula and assessment design, reflecting his dual focus on clinical research and pedagogy.

Cornelius Faberمشاهده پروفایل

استاد

• MRI cell tracking
• infection imaging
• MR methodology
• +۶ مورد دیگر

Cornelius Faber is a University Professor in the Department of Radiology at the University of Münster, Germany, where he leads the Experimental Nuclear Magnetic Resonance research group. His work focuses on developing and implementing novel MRI techniques that extend the boundaries of magnetic resonance imaging in terms of spatial and temporal resolution, sensitivity, and specificity for physiological, structural, and molecular changes. He actively participates in the "Cells in Motion" interdisciplinary research initiative at the university. Professor Faber's research spans multiple critical areas in medical imaging and biomedical science. His primary expertise lies in MRI cell tracking , enabling visualization of cellular dynamics in vivo. He has made significant contributions to infection imaging , developing methods to detect and characterize microbial infections using MRI. His work on MR methodology development has advanced quantitative imaging techniques, while his research on multimodal integration in MR and MRI contrast mechanisms has provided deeper insights into molecular and cellular processes. His research bridges physics, engineering, and biomedical applications, with particular relevance to inflammation, cancer, neurological disorders, and cardiovascular disease. Analysis of Professor Faber's extensive publication record reveals a clear evolution from fundamental MRI technique development toward increasingly sophisticated applications in disease models. His recent work demonstrates a strong trend toward multimodal imaging approaches that combine MRI with complementary techniques such as mass spectrometry, optical imaging, and PET. This integration creates comprehensive diagnostic platforms that provide both anatomical and molecular information. A notable pattern is the focus on cellular dynamics, particularly immune cell behavior in inflammatory conditions and tumor microenvironments, with applications spanning neuroscience, oncology, and cardiology. Professor Faber leads a multidisciplinary research team of approximately 15 members, including scientists, doctoral students, technicians, and medical students. His laboratory is deeply integrated with the University of Münster's research infrastructure, particularly the Multiscale Imaging Centre. The group's work contributes significantly to advancing preclinical MRI methodologies while maintaining strong clinical relevance, with numerous publications in high-impact journals across medical imaging, neuroscience, and biomedical engineering disciplines.

• Research Methods
• Pathology
• Molecular Biology
• +۷ مورد دیگر

Dr. Faith Kwa is a Senior Lecturer and Course Director for the seven Bachelor of Health Science degrees at Swinburne University of Technology's School of Health Sciences. Her teaching interests include Research Methods, Pathology, and Molecular Biology. She leads the Drug Discovery for Chronic Diseases Laboratory and has been recognized as one of Australia's leading educators, receiving the 2024 citation for Outstanding Contributions to Student Learning by the Australian Awards for University Teaching. Her educational background includes: Doctor of Philosophy from The University of Melbourne, Australia Graduate Certificate in Tertiary Teaching and Learning from RMIT University, Australia Bachelor of Biomedical Science from The University of Melbourne, Australia Bachelor of Science (Honours - First Class) from The University of Melbourne, Australia Fellow of the Higher Education Academy, United Kingdom (2020-present) Dr. Kwa is a molecular biologist whose research focuses on drug discovery for chronic diseases, particularly in the areas of epigenetic medicine, molecular mechanisms of action, and chronic disease prevention and management. Her laboratory has made significant contributions to understanding treatment strategies for leukemia, posterior eye diseases, and Friedreich's ataxia using natural compounds with epigenetic properties. She has made novel observations regarding low doses of epigenetic modifiers in combination therapies that potentiate cytotoxicity in leukemia cells resistant to conventional chemotherapeutic drugs. Her work with sulforaphane (a broccoli-derived compound) has shown therapeutic benefits across multiple disease models, particularly for neurodegenerative and ocular conditions. Analysis of her recent publications reveals a strong focus on neurodegenerative disorders (particularly Friedreich's ataxia), ophthalmic diseases, and molecular approaches to disease treatment. Her work consistently bridges basic science with clinical applications, often examining epigenetic mechanisms and oxidative stress pathways. A recurring theme across her research is the therapeutic potential of natural compounds like sulforaphane, which appears in multiple disease contexts from mitochondrial myopathies to posterior eye diseases. Her scientific recognition includes: 2024 citation for Outstanding Contributions to Student Learning by the Australian Awards for University Teaching 2023 Vice-chancellor's Award for Teaching Excellence (Higher Education - Individual) 2023 School of Health Science Teaching Excellence Award Fellow of the Higher Education Academy in the UK 18 other teaching accolades throughout her academic career Dr. Kwa supervises PhD and Master's students in areas related to molecular mechanisms of disease and therapeutic interventions. She has coordinated and taught eleven different subjects with student numbers ranging from 20 to over 300. As a Chief Investigator, she has secured various learning and teaching grants from Australian universities. Currently, she holds funding for 'Pre-clinical investigations on sulforaphane to advance the cure for Friedreich's ataxia' from the University of Melbourne (2022-2025). She is passionate about developing pedagogical methods to enhance teaching and learning environments and has received positive student feedback throughout her career. Dr. Kwa leads the Drug Discovery for Chronic Diseases Laboratory, where her team investigates potential treatments for various chronic disorders. She also serves as the Swinburne Women Academic Network Leader in the Career Development Team, where she develops programs supporting women academics in progressing their careers. Her laboratory work utilizes pre-clinical disease models to evaluate therapeutic approaches, with a particular emphasis on targeted therapies with superior efficacy for treating human diseases.

• Communications Theory
• Wireless Communications
• Information Theory
• +۱ مورد دیگر

Dr. Ajit Kumar Chaturvedi is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Communications Theory and Systems. With decades of experience at IIT Kanpur, he has established himself as a leading researcher and educator in wireless communications and information theory. Dr. Chaturvedi earned his B.Tech (1986), M.Tech (1988), and PhD (1995) all in Electrical Engineering from IIT Kanpur, demonstrating his deep institutional commitment. His educational background reflects his dedication to academic excellence at his alma mater. His research focuses on Communications Theory and Systems, with specific expertise in Wireless Communications, Information Theory, and Spread Spectrum Systems. Dr. Chaturvedi's work bridges theoretical foundations with practical applications in modern communication technologies. His contributions have significantly advanced the understanding of signal processing techniques, multiuser detection methods, and error analysis in wireless systems. His research has direct implications for improving the reliability and efficiency of contemporary wireless communication standards. Dr. Chaturvedi's publication record demonstrates consistent contributions to communications engineering, spanning from fundamental signal processing techniques to complex system-level analyses. His work on ISI mitigation, orthogonal sequence design, and error rate analysis shows both theoretical rigor and practical relevance for real-world communication challenges. Distinguished Teacher award of IIT Kanpur (2007) Tan Chin Tuan Fellowship of NTU, Singapore (2008) Supervisor of Best B. Tech Project groups (2002, 2006, 2012) Plenary speaker at the 15th National Conference on Communications (2009) Mentor of IEEE Computer Society International Design Contest winning team (2002) As an educator, Dr. Chaturvedi has supervised numerous award-winning student projects, including three Best B.Tech Project awards. He has mentored teams to international recognition, such as the Microsoft Award for Innovation at the IEEE Computer Society International Design Contest World Finals in 2002. His office is located in ACES 201B at IIT Kanpur, where he continues to contribute to the academic and research mission of the institution.

Robert Shepherdمشاهده پروفایل

استاد

• Public Policy Evaluation
• Government Accountability and Transparency
• Public Expenditure and Strategic Reviews
• +۳ مورد دیگر

Robert Shepherd is a faculty member at Carleton University’s School of Public Policy and Administration (SPPA) where he teaches and researches public-sector evaluation, accountability, and Indigenous governance. His recent work concentrates on institutionalizing spending reviews, strengthening internal accountability, and adapting public-administration pedagogy to on-line and crisis environments. Education & Early Awards: PhD studies, Department of Political Science, University of Toronto C.B. MacPherson-Dawson Dissertation Fellowship (2001-02) Doctoral Studies Research Fellowship, University of Toronto (1997-98, 2000-01, 2001-02) Research Interests: Shepherd’s scholarship sits at the intersection of public-policy evaluation and public-management reform. He examines how governments can embed evidence-based spending reviews, monitoring and evaluation units, and internal accountability mechanisms that survive political turnover. A complementary stream explores Indigenous governance, particularly the evaluation of programs designed by and for First Nations communities, with an emphasis on youth engagement and culturally grounded methodologies. Publication Trends: Over 2020-24 he has published extensively on pandemic-era public management, the institutionalization of expenditure reviews in the Canadian federal government, and the challenges of evaluating Indigenous programs. His articles map a trajectory from episodic austerity exercises toward sustained analytic capacity inside government, while simultaneously advocating participatory and decolonizing approaches when evaluating programs in Indigenous contexts. Honours & Awards: SPPA Excellence in Teaching Award (2013-14) C.B. MacPherson-Dawson Dissertation Fellowship (2001-02) Multiple Doctoral Studies Research Fellowships, University of Toronto (1997-98, 2000-01, 2001-02) Graduate Teaching & Program Development: Shepherd has led the design and on-line delivery of graduate evaluation degrees and certificates, including inter-university partnerships aimed at civil servants in the Northwest Territories. His pedagogical research compares student engagement across on-line and blended formats and documents lessons learned from rapid remote teaching during COVID-19. Media & Public Commentary: He is regularly cited in Canadian media on questions of government transparency, accountability lapses, and the need for strategic spending reviews, positioning his research at the centre of contemporary debates on public-service renewal.

Antoine Miechمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Antoine Miech is a Researcher at DeepMind's Vision Group , with prior affiliations at Inria and Ecole Normale Supérieure where he completed his computer vision Ph.D. under Ivan Laptev and Josef Sivic . He has collaborated with researchers from Facebook AI and Google during his academic career. Research Interests span video understanding, weakly-supervised machine learning, and multimodal analysis. His work focuses on: Text-video embedding Self-supervised video representation Action localization Anticipatory video modeling Scalable multimodal learning Scientific Contributions include: HowTo100M - A massive dataset of narrated instructional videos MIL-NCE - A novel loss function for video-text alignment MEE - A model for handling heterogeneous data Context Gating - Learnable pooling architecture Awards & Recognition : Google Ph.D. Fellowship (2018) Technical Leadership : Created the LOUPE TensorFlow toolbox for feature pooling and maintained annotated video dataset catalogs. Organized the Data Science Game competition (2016-2017).

Morgane Chevalierمشاهده پروفایل

دانشیار

• Educational Robotics
• Computational Thinking
• E-learning
• +۴ مورد دیگر

Morgane Chevalier is an Associate Professor at Vaud Teacher Training College (HEP Vaud) working within the Media, Digital Uses and Computer Science Teaching unit (UER MI). She specializes in multimedia pedagogical engineering, combining project management with e-learning scripting. Her work bridges educational theory and practical implementation of digital technologies in classroom settings, with particular focus on primary education. With prior experience teaching in primary schools in Seine-Saint-Denis (France), working in human resources in Montreal (Canada), and teaching in the Canton of Vaud, Chevalier brings diverse perspectives to her academic work. She holds a Master's degree in e-learning from IPM, Lille 1 and is currently pursuing a MAS in 'Theories, practices and training devices for teachers' to refine her understanding of institutional and social contexts of teacher training in French-speaking Switzerland. Her research interests focus on three complementary areas: online homework implementation in blended learning environments and fostering teacher communities of practice; how e-learning supports teacher professionalization; and robotics as a medium for knowledge, specifically examining how classroom robot integration impacts student learning and teaching practices. She is particularly interested in emerging communities of practice around educational technology. Analysis of her recent publications reveals a strong emphasis on educational robotics as a vehicle for developing computational thinking in primary education. Her work consistently explores scaffolded learning approaches, intervention methods, and teacher perspectives on implementing robotics in classrooms. A recurring theme is the development of models to help teachers identify relevant computational thinking concepts during different phases of educational robotics activities. Chevalier serves in several organizational roles including as an Associate HEP Professor, delegate of the intermediate body to the HEP Council, delegate of the Specialized Pedagogy Study Commission, and scientific collaborator at EPFL's LSRO. She is also a member of the educanet2 Community. Her teaching spans Bachelor primary programs, MASPE education, and continuing education courses covering image creation and processing, media education, Thymio II robotics, and flipped classroom methodologies. She collaborates extensively with EPFL researchers, particularly on projects involving the Thymio educational robot, and has developed frameworks for creative computational problem solving through robotics. Her work demonstrates a commitment to translating research into practical classroom applications while supporting teacher development in the digital age.

• Mycotoxicology
• Food Safety
• Microbiome Research
• +۳ مورد دیگر

Dr. Chibundu Ngozi Ezekiel is a Senior Researcher at the Institute of Bioanalytics and Agro-Metabolomics within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). Previously, he served as Professor and Associate Professor of Food Microbiology and Mycotoxicology at Babcock University, Nigeria (2018-2022) and held roles at the Food and Agriculture Organization of the United Nations. Education: Ph.D. in Mycology/Mycotoxicology (University of Ibadan, 2009-2013), M.Sc. in Microbiology (University of Ibadan, 2005-2007), B.Sc. in Microbiology with First Class Honours (Babcock University, 2000-2004) Research Interests: Focus on mycotoxin contamination in food systems, microbiome interactions in agricultural products, and food safety in sub-Saharan Africa. Key areas include dietary exposure assessment, probiotic applications for toxin reduction, and molecular characterization of fungal communities. Recent Research Trends: His 15 most recent publications (2024-2025) span mycotoxin biomonitoring in infants, probiotic strain genomics, cereal contamination analysis, and microbiome-exposome interactions. Studies emphasize analytical methodologies (LC-MS/MS, MALDI-TOF), global health implications, and risk assessment frameworks. Scientific Awards & Fellowships Brigitte Gedek Science Award for Mycotoxin Research (2023) Top 50 Food Safety Expert Globally (2023) No. 2 Food Safety Expert in Africa (2021-2023) EU MycoRed Fellowship (2010) Babcock University First Class Graduate Assistantship (2005) Academic Service: Editorial Board Member for Mycotoxin Research (2023), Associate Editor for Frontiers in Sustainable Food Systems (2019), and reviewer for 20+ journals including Food Control , Environment International , and World Mycotoxin Journal . Active in EU-China-Safe and FoodSafeR advisory boards.

Chloe E. Atreyaمشاهده پروفایل

استاد

• Gastrointestinal Cancer
• Colorectal Cancer
• Tumor Genetics
• +۵ مورد دیگر

Dr. Chloe E. Atreya is a Professor of Medical Oncology at the University of California San Francisco (UCSF) School of Medicine, specializing in gastrointestinal and colorectal cancers at the UCSF Helen Diller Comprehensive Cancer Center. She co-directs the Integrative Oncology Program and Research Hub, focusing on tumor genetics, personalized therapy, and gut microbiome interactions to improve patient outcomes. Her research integrates clinical trials with molecular analysis to overcome treatment resistance. Dr. Atreya's educational background includes: BA in Molecular Biology with Visual Art Certificate from Princeton University (1998) PhD in Pharmacology and MD from Yale University (2004, 2005) Internal Medicine residency at University of Washington (2008) Medical Oncology fellowship and Advanced Clinical Research Training at UCSF (2010, 2014) Clinical Fellowship in Integrative Medicine (2018-2019) Her research spans tumor genetics, gut microbiome interactions, and integrative oncology approaches. Recent publications reveal strong focus on microbiome-mediated drug metabolism, precision medicine strategies for KRAS/BRAF-mutant cancers, and patient-centered interventions for cancer survivors. She leads multiple NIH-funded projects examining resistance mechanisms and nutritional interventions. Dr. Atreya has received significant recognition including: ASCO Young Investigator Award (2011) Multiple UCSF research awards (2012-2017) Sandler Program Breakthrough Award (2022) ASCO-Integrative Oncology Clinical Guidelines leadership As Principal Investigator on multiple NIH grants including R01CA229447 and R37CA266549, she directs translational research programs examining kinome-guided targeting and KRAS inhibition resistance. Her work bridges basic science with clinical applications through the Integrative Oncology Research Hub, developing evidence-based complementary approaches for symptom management and quality of life improvement.

Longbing Caoمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Professor Longbing Cao serves as a Professor at University of Technology Sydney (UTS) in the Faculty of Engineering and Information Technology, specifically within the Data Science Institute. He also holds the position of Distinguished Chair Professor in AI at Macquarie University and is an ARC Future Fellow (Level 3). As a pioneering researcher in AI, data science, and advanced analytics, Professor Cao founded the UTS Advanced Analytics Institute, the first data science initiative in Australia. Professor Cao's research interests span across data science fundamentals, machine/deep learning, behavior informatics, and enterprise data science applications. His work bridges the gap between theoretical research and practical implementation, focusing on non-IID learning, actionable knowledge discovery, and complex behavior modeling. His research has addressed real-world challenges in government services, finance, insurance, banking, telecommunications, transport, and e-commerce sectors. His 15 most recent publications reveal a strong trend toward addressing distributional challenges in machine learning, developing transdisciplinary AI approaches, modeling complex temporal dependencies, and advancing negative sequence analysis. His work consistently integrates theoretical foundations with practical applications, particularly in financial analytics, healthcare, and disaster resilience. Scientific Awards: Eureka Prize for Excellence in Data Science (2019) ACM Distinguished Scientist Professor Cao has made significant contributions to academic leadership and research supervision. He established world-first research degrees at UTS (Master of Analytics and PhD Thesis: Analytics), founded the IEEE Task Force on Data Science and Advanced Analytics, and served as general chair of the KDD conference in 2015 (the first edition in Australia). His funded research portfolio includes multiple ARC grants and industry collaborations focusing on complex data analytics, behavior informatics, and AI applications. He leads the Data Science Lab at UTS, which has become a prominent center for data science research in Australia. The lab focuses on developing fundamental theories and practical applications of data science, with strong industry partnerships that translate research into real-world impact. Professor Cao's leadership in establishing the annual Big Data Summit in 2012 created Australia's first platform for bridging academic research with industry and government applications.

• Radar Signal Processing
• Waveform Diversity
• Spectrum Sharing Techniques
• +۵ مورد دیگر

Shannon D. Blunt is the Roy A. Roberts Distinguished Professor of Electrical Engineering & Computer Science (EECS) at the University of Kansas (KU), where he also serves as Director of the KU Radar Systems Lab (RSL) and Director of the Kansas Applied Research Lab (KARL). With a distinguished career spanning over two decades, Prof. Blunt has established himself as a leading expert in radar signal processing and waveform design. Dr. Blunt earned his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Missouri, completing his doctorate in 2002 under the supervision of K.C. Ho. After working at the U.S. Naval Research Laboratory from 2002-2005, he joined the University of Kansas faculty, where he has remained ever since, advancing to his current distinguished professorship. Prof. Blunt's research focuses on sensor signal processing and system design with particular emphasis on waveform diversity and spectrum sharing techniques. His work has made significant contributions to radar and sonar systems that have been deployed operationally. His research spans radar waveform design, spectrum coexistence, cognitive radar, and the integration of radar and communication systems. The 15 most recent publications demonstrate his continued leadership in random FM radar waveforms, spectrum sharing techniques, and experimental validation of novel radar concepts, with numerous papers appearing in top journals like IEEE Transactions on Radar Systems and presented at major radar conferences. His scientific achievements have been recognized with numerous prestigious awards including the IEEE/AESS Nathanson Memorial Radar Award (2012), IEEE Fellowship (2016), IET Radar, Sonar & Navigation Premium Award (2020), and the IEEE/AESS Warren D. White Award (2025). In 2019, he was appointed to the U.S. President's Council of Advisors on Science & Technology (PCAST), and in 2024 he was named Fellow of the MSS. Prof. Blunt has successfully mentored numerous graduate students, with many of his former PhD students now holding positions at prestigious institutions including MIT Lincoln Laboratory, Johns Hopkins University Applied Physics Lab, Naval Research Laboratory, and academic positions at the University of Kansas. His research has been supported by over $30M in funding from organizations including NRL, DARPA, AFRL, ARL, ARO, DoE, NAVSEA, and ONR. He has served in significant editorial roles including Founding Editor-in-Chief of IEEE Transactions on Radar Systems and editorial board member for IET Radar, Sonar & Navigation. As Director of both the KU Radar Systems Lab and the Kansas Applied Research Lab, Prof. Blunt leads research teams focused on advancing radar technology and applying it to real-world problems. His labs have developed numerous innovative radar techniques that address spectrum congestion challenges while maintaining radar performance.

• Neuromodulation
• Transcranial Magnetic Stimulation
• Deep Brain Stimulation
• +۴ مورد دیگر

Lothar Krinke serves as an Adjunct Assistant Professor at West Virginia University School of Medicine with dual appointments in the Department of Neuroscience and the Rockefeller Neuroscience Institute. He concurrently holds executive leadership as CEO of Magstim Inc., a transcranial magnetic stimulation technology company, and serves on the Board of the UCLA Brain Mapping Medical Research Organization, demonstrating significant integration of academic research with industry innovation in neuromodulation. His educational foundation includes: PhD in Molecular Biology from the University at Albany, State University of New York Dr. Krinke's research program spans two distinct yet complementary domains: contemporary neuromodulation therapies and foundational molecular biology. His current work focuses on advancing transcranial magnetic stimulation (TMS) technology, particularly navigated TMS systems for substance abuse disorders, chronic pain, OCD, and dementia. He actively pursues closed-loop TMS development using neurophysiological biomarkers for patient stratification. His historical research contributions center on RNA-mediated gene regulation mechanisms in bacteriophage lambda, establishing expertise that bridges molecular neuroscience and clinical applications. Analysis of his publication record reveals a clear evolution from molecular biology (1987-1991) to clinical neuromodulation (2016-2022). Recent work emphasizes collaborative, interdisciplinary approaches to psychiatric neurosurgery and neuromodulation technology development, with strong representation in consensus-building initiatives like the Deep Brain Stimulation Think Tank. His research consistently addresses translational challenges in moving neuromodulation from laboratory to clinical practice. No scientific awards or fellowships are documented in the available materials. While specific student mentorship details are not provided, Dr. Krinke's leadership roles indicate significant involvement in research direction and team building. His position as CEO of Magstim Inc. suggests substantial engagement with research commercialization and technology development funding, though specific grant details are not disclosed in the source material. Dr. Krinke's primary research infrastructure includes Magstim Inc., where he drives TMS technology innovation, and the UCLA Brain Mapping Medical Research Organization, facilitating large-scale neuroimaging collaborations. His work environment integrates academic neuroscience departments with industry R&D, creating a unique ecosystem for accelerating neuromodulation therapies from concept to clinical implementation.

• Mobile Communications
• Radio Frequency Radiation Safety
• Biometric Radio Systems
• +۳ مورد دیگر

Dr Robert Edwards is a Reader in Mobile Communications and Director of the 5G Research Centre at Loughborough University. Formerly Director of Sheffield's Centre for Mobile Communications Research, he holds Senior Member status in IEEE and is a Chartered Engineer with the IET. His research focuses on biometric radio systems, mobile communications advancements, and the health implications of radio frequency radiation exposure. Education : BEng (Hons) in Electronic Engineering (Communications), University of Sheffield PhD in Communications & Radar Engineering from Sheffield University Research Interests : Developing biometric authentication through radio channel characteristics Antenna design for on-body and industrial applications IoT-based flood monitoring systems in developing regions RF safety assessment and mitigation strategies Key Activities : External Examiner for multiple institutions including American College of Thessaloniki and Arab Open University Member of Wireless World Research Forum's Communications Division Subject advisor for British University in Egypt (Communications Electronics) Labs/Teams : Leads the Loughborough 5G Research Centre and collaborates with the Antenna Team (as noted in his 2013 publications).