جست‌وجوی استاد و پژوهشگر

• Information Theory
• Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Oliver Kosut is an Associate Professor at the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he has worked since August 2012. He was promoted to Associate Professor in 2018 and received the NSF CAREER award in 2015. His research spans information theory, machine learning, cybersecurity, and power systems, with a focus on theoretical foundations and applications to privacy, security, and smart grid resilience. Education: B.S. in Electrical Engineering and Mathematics from MIT (2004), Ph.D. in Electrical and Computer Engineering from Cornell University (2010) His recent work explores differential privacy, adversarial robustness in decentralized networks, and information-theoretic approaches to cybersecurity. He advises graduate students with strong mathematical backgrounds, particularly those interested in fundamental theory for applied problems. Scientific accolades include the IEEE Information Theory Society Distinguished Lecturer (2023–2024) and NSF CAREER award. Key research areas: Information Theory, Privacy, Machine Learning, Power System Security Students: Obai Bahwal, Atefeh Gilani, Naima Tasnim (current); Nima Bazargani, Andrea Pinceti, Jingwen Liang, Zhigang Chu, Fatemeh Hosseinigoki, Nematollah Iri, Kousha Kalantari, Roozbeh Khodadadeh (former)

Thomas DC Littleمشاهده پروفایل

استاد

• Visible Light Communications
• Optical Wireless Communications
• Indoor Positioning Systems
• +۵ مورد دیگر

Thomas DC Little is a Professor of Electrical and Computer Engineering in the College of Engineering at Boston University. He serves as the Associate Dean for Educational Initiatives, driving the growth of the engineering master’s program and enhancing pedagogy through mobile and cloud technologies. Additionally, he is the Associate Director and Principal Investigator of the National Science Foundation Smart Lighting Engineering Research Center (LESA), a multi-institutional effort advancing visible light communication and smart lighting systems. Professor Little's research centers on ubiquitous computing and communications, with a focus on using optical cells to expand wireless data capacity for mobile devices. He pioneers ambient intelligence that enables environments to anticipate human needs. His key areas include Visible Light Communications (VLC), Optical Wireless Communications, Indoor Positioning Systems, and Smart Lighting. By integrating lighting infrastructure with communication networks, his work addresses the growing demand for wireless data and enables energy-efficient, responsive smart buildings and urban environments. Analysis of his recent publications (2019-2024) shows a strong trend toward occupancy sensing, indoor positioning, and hybrid RF/VLC networks. His team develops innovative solutions for people counting, zone-based positioning, and interference mitigation in dense optical wireless environments. There is increasing integration of machine learning for security and optimization, with applications in energy-efficient buildings and user-centric smart spaces. Scientific awards received by Professor Little include: Janetos Award for Continuous Indoor Air Quality Assessment for BU Buildings (2025) Professor Little actively mentors graduate students and postdocs, with notable advisees including Iman Abdalla (awarded Best Computer Engineering Dissertation, 2020-2021) and the MenuNav team (Societal Impact Award for a navigation app for the blind). He has secured significant research funding, including a $1M Department of Energy/ARPA-E project for occupancy sensing to reduce energy costs in commercial buildings and grants for indoor air quality sensor development. He leads the NSF Smart Lighting ERC (LESA), which develops COSSY people counting technology, sensory lighting systems, and dynamic light control applications. His team collaborates with industry and has spun off Helux Technologies, Inc. to commercialize dynamic lighting control. Current projects focus on creating safe, energy-efficient buildings through advanced sensor integration and wireless communication.

• Wireless Communication
• Wireless Sensor Networks
• Industrial IoT
• +۵ مورد دیگر

Mikael Gidlund is a Full Professor of Computer Engineering at Mid Sweden University in Sundsvall and holds an adjunct professorship at Beijing Jiaotong University, China. He serves as head of the Computer Engineering subject and program manager for the international MSc program in Computer Engineering. His academic journey includes a Ph.D. in Electrical Engineering from Mid Sweden University (2005), followed by roles at ABB Corporate Research (2008-2014) where he led wireless technologies research. Dr. Gidlund's research spans Wireless Communication, Industrial IoT, 5G/6G Networks, and Network Security . His group focuses on AI/ML for beyond-5G wireless communication, time-critical industrial applications, and IoT security. Current research themes include Future Wireless Networks (5G/6G) using AI/ML, Time-and mission-critical wireless communication, Industrial IoT, and IoT Security. His work demonstrates strong interdisciplinary connections between wireless systems, industrial automation, and security. His publication portfolio includes over 200 scientific articles and 20+ patents. Recent publications show a clear trend toward AI/ML integration in wireless systems, NOMA techniques, RIS technologies, and security solutions for industrial applications. The research output demonstrates strong international collaboration across six continents. Best Paper Award at IEEE International Conference on Industrial IT (2014) Co-author of IEEE Sweden VT-COM-IT Joint Chapter Best Student Journal Paper Award (2022) Dr. Gidlund actively mentors 6 current PhD students and has supervised 16 former PhD students who now hold positions at institutions including Ericsson, Lund University, Aalborg University, and Mid Sweden University. His research is supported by multiple active projects including IRS TransTech, NIIT, ENSURE 6G, and TRUST. He collaborates with institutions worldwide including City University of Hong Kong, Iowa State University, Kyung Hee University, and KTH Royal Institute of Technology. His research group maintains strong industry connections through projects with ABB, Ericsson, and other industrial partners, focusing on practical implementations of wireless technologies for industrial automation and critical infrastructure.

• Signal Processing
• Wireless Communications
• Underwater Acoustic Communications
• +۷ مورد دیگر

Professor Yue Rong is a Full Professor at Curtin University's Department of Electrical and Computer Engineering, within the School of Electrical Engineering, Computing and Mathematical Sciences. He holds editorial roles at IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters. His research focuses on signal processing for communications, underwater acoustic systems, wireless networks, and healthcare IoT. Rong has authored over 140 journal and conference papers and received multiple awards, including the 2010 Young Researcher of the Year Award. Education: B.E. (Electrical Engineering), Shanghai Jiao Tong University (1999) M.Sc. (Electrical Engineering), University of Duisburg-Essen (2002) Ph.D. (Electrical Engineering), Darmstadt University of Technology (2005) Research Interests: Rong's work spans cooperative MIMO communications, underwater acoustic systems, OFDM modulation, radar-based healthcare monitoring, and secure wireless protocols. His innovations include adaptive modulation schemes for underwater environments and radar-based vital signs detection. Recent trends in his publications emphasize AI-driven signal processing for healthcare IoT and underwater optical communication systems. Awards: Best Paper Awards (WCSP 2011, APCOMM 2010) Chinese Government Award (2004) DAAD/ABB Fellowship (2001-2002) Grants & Labs: His research is supported by grants focusing on UAV-enabled data collection and underwater network optimization. He leads projects in the Distributed Data Fusion and Emerging Technologies (DDFE) lab, advancing radar-cardiography and wearable health monitoring systems.

• Heat Transfer
• Energy Storage
• Thermal Management
• +۵ مورد دیگر

Ankur Jain is a Professor in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington, with a joint appointment in Bioengineering. His research focuses on heat transfer in Li-ion batteries, microscale thermal transport, bioheat transfer, and additive manufacturing. He holds leadership roles, including serving as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technologies and Secretary of the ASME Heat Transfer Division's K16 Committee. Education: Ph.D. (2007) and M.S. (2003) in Mechanical Engineering from Stanford University; B.Tech. (2001) in Mechanical Engineering from IIT Delhi with top honors. Research interests span energy conversion/storage, thermal management of electronics, and biomedical heat transfer applications. Notable achievements include the NSF CAREER Award (2016), ASME Fellow status (2022), and UTA President's Award for Excellence in Teaching (2022). His work has been supported by NSF, DOE, ONR, and Indo-US Science & Technology Forum. Advancing thermal runaway prevention in Li-ion batteries and improving additive manufacturing processes are key current focuses. Collaborations include industry partners like Underwriters Laboratories and Cuberg, Inc.

Harpreet S. Dhillonمشاهده پروفایل

استاد

• Wireless Communications
• Communication Theory
• Stochastic Geometry
• +۸ مورد دیگر

Harpreet S. Dhillon is the W. Martin Johnson Professor of Engineering and Associate Dean for Research and Innovation at Virginia Tech's College of Engineering. He holds appointments in the Bradley Department of Electrical and Computer Engineering. His research focuses on wireless communications, stochastic geometry, machine learning, and next-generation network systems. Education: Ph.D., University of Texas at Austin (2013); M.S., Virginia Tech (2010); B.Tech., Indian Institute of Technology Guwahati (2008). Research Interests: Communication Theory, Stochastic Geometry, Machine Learning for Communication Systems, Heterogeneous Networks, IoT, and Energy Harvesting. He leads projects on vision-aided localization, LEO satellite systems, and RIS-aided networks. Key Awards: IEEE Fellow (2023), AAIA Fellow (2022), IEEE Heinrich Hertz Award (2016), and numerous early-career recognitions. His work has resulted in over 150 journal/conference publications. Advising: Supervises Ph.D. students in cutting-edge research areas like 6G localization and RIS optimization. His advisees have won awards such as the VT ECE Blackwell Award for Best Dissertation. Labs/Teams: Head of the research group focusing on communication theory and localization. Collaborates on projects funded by agencies like NSF and industry partners.

David Tseمشاهده پروفایل

استاد

• Information Theory
• Wireless Communication
• Networking
• +۳ مورد دیگر

David Tse is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (1994) and a B.A.Sc. in Systems Design Engineering from the University of Waterloo (1989). Education: B.A.Sc., Systems Design Engineering, University of Waterloo (1989) M.S., Electrical Engineering, MIT (1991) Ph.D., Electrical Engineering, MIT (1994) His research focuses on information theory , wireless communications , and networking , particularly on fundamental limits of communication systems, diversity-multiplexing tradeoffs, and capacity scaling in wireless networks. Selected work includes groundbreaking studies on MIMO channels , cooperative diversity , and spectrum sharing . Recent publications (2003–2007) analyze channel coherence, network capacity, and diversity-embedded coding, reflecting his emphasis on theoretical foundations of wireless communication. Key themes include fading channels, network optimization, and mathematical modeling using percolation theory and signal space approaches. Scientific Awards: IEEE Richard W. Hamming Medal (2019) National Academy of Engineering Member (2018) IEEE Information Theory Society Shannon Award (2017) IEEE Joint Paper Awards (2015, 2000, 2003) INFORMS Erlang Prize (2000) NSF CAREER Awards (1998) Okawa Research Grant (1997)

• Wireless Communications
• Signal Processing
• Massive MIMO
• +۳ مورد دیگر

Nikolaos Kolomvakis is a researcher in the Division of Communication Systems at KTH Royal Institute of Technology in Sweden. He is also a visiting researcher at Ericsson AB in Stockholm. Previously, from 2017 to 2023, he held positions as Systems Engineer and Senior Researcher at Ericsson. His research focuses on wireless communications and signal processing, particularly on developing baseband physical-layer algorithms for distributed/cell-free massive MIMO, holographic MIMO, and large intelligent surfaces. Education: Ph.D. in wireless communications from Chalmers University of Technology , supervised by Prof. Mats Viberg with co-supervision from Prof. Thomas Eriksson and Prof. Michail Matthaiou M.Sc. in information technology & electrical engineering from ETH Zurich (2012) Research Interests: Wireless communications Signal processing Distributed/cell-free massive MIMO Holographic MIMO Large intelligent surfaces Publications: Recent work includes analyzing nonlinear distortion in large arrays and active reconfigurable intelligent surfaces (2025) Exploring spatial frequencies in near-field communications (2025) Investigating 6G performance through gigantic MIMO (2025)

Wasiu O Popoolaمشاهده پروفایل

استاد

• Optical Wireless Communications
• Visible Light Communication (VLC)
• Free-Space Optical Communications (FSO)
• +۵ مورد دیگر

Professor Wasiu O Popoola is a Professor of Communications Engineering and Director of Electronics and Electrical Engineering at the School of Engineering, University of Edinburgh . With over 150 publications and a RAEng/Leverhulme Trust Research Fellowship (2022), his work focuses on optical wireless communication systems including VLC/LiFi, FSO, and underwater optical communications. BSc (First Class Hons), MSc (Distinction), PhD in optical communications (Northumbria University) Professional memberships: Fellow of Higher Education Academy (FHEA), Fellow of IET (FIET), Senior Member IEEE Research Interests span Indoor/Outdoor/Underwater Optical Wireless Communication , Modulation Techniques , and LiFi Applications . His 2025 articles explore underwater turbulence mitigation and hybrid RF-water communication systems . Earlier works include Best Poster Award at IEEE ICSAE 2016 and top-downloaded IEEE Xplore article (2008). Scientific Awards include: 2022 RAEng/Leverhulme Trust Research Fellowship 2016 IEEE ICSAE Best Poster Award 2009 'Xcel Best Engineering and Technology Student' (PhD) He contributes to editorial work as Associate Editor (IEEE Access) , Guest Editor (Optik Journal) , and peer reviewer for Physics World . Recent projects involve BOLD (Defence Science and Technology Laboratory) and TITAN Extension (University of Strathclyde) focusing on diffuse optical wireless systems and UAV swarm networks .

Marina Bockمشاهده پروفایل

مدرس

• Numerical Modelling
• Laboratory Experiments
• Metallic Structures
• +۳ مورد دیگر

Dr. Marina Bock is a Chartered Civil Engineer and Lecturer in Civil Engineering at Aston University's College of Engineering and Physical Sciences. She specializes in structural engineering with expertise in metallic structures, additive manufacturing, and numerical modeling. Currently accepting PhD students, her work bridges academic research and industry applications in sustainable construction. Her educational background includes: PG Cert in Building and Design and Construction Technology, University of Wolverhampton (2017-2018) PhD in Local Buckling and Web Crippling Response of Stainless Steels, Universitat Politècnica de Catalunya (2010-2015) MSc in Patch Loading of Hybrid Plate Girders, Universitat Politècnica de Catalunya (2004-2010) Dr. Bock's research integrates laboratory experiments and numerical modeling to advance metallic structural systems, with pioneering work in additive manufacturing for construction. Her investigations span stainless steel design code development, corrosion prevention in reinforced concrete using hydrogels, and cold-formed steel behavior. Recent projects focus on sustainable infrastructure solutions through novel composite materials. Analysis of her 2022-2025 publications reveals dominant themes in additive manufactured aluminum structures, cold-formed steel design methodologies, and sustainable paving materials for urban heat island mitigation. Her work consistently addresses practical engineering challenges through experimental validation and code-compliant design solutions. Scientific recognition includes: IStructE Academic Research Award Commendation (2021) for research on aluminum SHS/RHS under biaxial bending Dr. Bock has secured significant research funding including a Royal Society Research Grant (£20k, 2023) for additive manufactured Al7075 aluminum and Innovate UK funding (£437k) for UV-reflective resin-based paving. Previous internal projects (£20k) focused on structural aluminum applications. She supervises PhD research in additive manufacturing and corrosion prevention while maintaining industry collaborations. Her experimental work utilizes advanced university laboratories for structural testing, with collaborations spanning European research consortia and industrial partners. Current projects involve multi-institutional teams developing reusable structural systems and solar-energy-harvesting building envelopes.

Chenang Liuمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Data Analytics
• Machine Learning
• +۲ مورد دیگر

Dr. Chenang Liu is an Associate Professor in the Department of Industrial Engineering & Management at Oklahoma State University's College of Engineering, Architecture and Technology (CEAT). Their research focuses on smart manufacturing systems, real-time quality monitoring, and machine learning applications in manufacturing and healthcare. Ph.D., Industrial and Systems Engineering, Virginia Tech, 2019 M.S., Statistics, Virginia Tech, 2017 B.S., Mathematics (Statistics track), Zhejiang University, China, 2014 B.S., Environmental and Resource Sciences, Zhejiang University, China, 2014 Research Interests: Dr. Liu develops advanced sensing and data analytics methodologies for smart manufacturing, statistical frameworks for real-time quality control, and mathematical models integrating machine learning with healthcare applications. Their work bridges industrial engineering principles with cutting-edge data science techniques. Publication Trends: Recent articles demonstrate expertise in diabetic retinopathy prediction via interpretable AI, supply chain coordination mechanisms, EHR analytics for disease progression modeling, and combinatorial optimization algorithms. Key themes include healthcare data science, resilient manufacturing systems, and stochastic resource allocation. Scientific Recognition: Featured Article in ISE Magazine, IISE, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Best Poster Award, INFORMS Annual Meeting, 2018 Best Student Paper Finalist, IISE Annual Conference, 2018 Best Paper Awards at INFORMS (2017) and IISE (2017)

Alexander Müller-Hermesمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Linear Algebra
• Functional Analysis
• +۱ مورد دیگر

Alexander Müller-Hermes is an Associate Professor at the Department of Mathematics, University of Oslo. His research focuses on quantum information theory with emphasis on mathematical questions in quantum Shannon theory and entanglement. He also explores functional analysis and convex geometry inspired by quantum phenomena. Before joining UiO, he held a Marie Skłodowska-Curie fellowship at University Claude Bernard Lyon 1 and was a postdoc at the Centre for Mathematics in Quantum Theory (QMATH), University of Copenhagen. He earned his PhD in Mathematics from Technical University Munich in 2015. Teaching includes advanced courses like Quantum Information Theory (MAT4430) and Linear Algebra (MAT1120). His research interests span quantum communication, entanglement theory, operator algebras, and functional analysis, with over 20 peer-reviewed publications since 2014. His work on fault-tolerant quantum coding and entanglement monotones has advanced theoretical foundations in quantum information. He collaborates with the Operator Algebras research group at UiO and is part of the QOMBINE project on quantum computation and many-body theory.

Robin Crockettمشاهده پروفایل

پژوهشگر

• Document Forensics
• Academic Integrity
• Contract Cheating
• +۹ مورد دیگر

Dr Robin Crockett is the University Academic Integrity Lead at the University of Northampton, based in the Academic Registry. He is a mathematician-ethicist actively engaged in research and professional development in academic integrity, document forensics, and the detection of contract cheating and AI-generated text. He is a member of the European Network for Academic Integrity (ENAI), co-founder of the Midlands Integrity Group (UK), and has advised UK policymakers on legislation to ban essay mills. He holds Chartered Scientist and Chartered Mathematician status. MPhil, The Management of Electricity Supplies via Storage as Hydrogen, Cranfield University Master, Energy Conservation and the Environment, Cranfield University PhD, Electrostatic Damage to Semiconductor Devices, University of Southampton Master, Natural & Electrical Sciences, University of Cambridge Bachelor, Natural & Electrical Sciences, University of Cambridge Dr Crockett's research centers on document forensics and academic integrity, with core interests in Fourier theory, time-series analysis, and stylometry for identifying contract cheating. His work increasingly addresses the challenges posed by generative artificial intelligence in education. He applies mathematical and statistical methods to analyze linguistic cues, writing styles, and embedded information in student submissions. His recent publications highlight a strong trend toward understanding and mitigating academic misconduct in the AI era. Topics include AI-text detection uncertainties, forensic stylometry, and policy development for generative AI misuse. Earlier work includes environmental research on radon remediation and signal processing applications in telecommunications. Chartered Scientist Chartered Mathematician Dr Crockett has supervised PhD students, including Believe Nwamae in Computing. He has secured internal research funding, such as the Small Grants Scheme for Early Career Researchers at the University of Northampton for a project on AI-synthesized text detection. He has been an Academic Visitor at Loughborough University and served on the Turnitin Advisory Board, indicating active collaboration and external engagement. He frequently presents at academic events and contributes to policy discussions. He is affiliated with research networks including the European Network for Academic Integrity (ENAI) and the European Geosciences Union (as a former Scientific Officer). His work is supported by institutional and collaborative projects focused on advancing machine discernment of academic misconduct.

Nabil Simaanمشاهده پروفایل

استاد

• Medical Robotics
• Surgical Robotics
• Continuum Robotics
• +۷ مورد دیگر

Nabil Simaan is a Professor of Mechanical Engineering at Vanderbilt University with secondary appointments in Computer Science and Otolaryngology . He leads the Advanced Robotics and Mechanism Applications (ARMA) laboratory, focusing on surgical robotics, continuum robots, and intelligent human-robot interaction. Education : Ph.D., M.Sci., and B.S. in Mechanical Engineering from the Technion—Israel Institute of Technology . Postdoctoral Research at Johns Hopkins University NSF ERC-CISST (2003-2004). Research Interests : Medical robotics for minimally invasive procedures Kinematic modeling and optimization of parallel/continuum robots Telemanipulation and semi-autonomous control Flexible mechanisms and actuation redundancy Article Trends : His recent work emphasizes subretinal surgical robots, continuum manipulators for transurethral operations, and multi-scale dexterity through mathematical synthesis using screw theory and algebraic geometry. Scientific Awards : NSF Career Award (2009) for intelligent surgical robots IEEE Senior Member (2013) for contributions to robotics Advising & Grants : Advises PhD/MSc students in robotics and mechanism design. NIH-funded work on OCT-guided retinal surgery robots. NSF grants for continuum robot kinematics and redundancy control. Labs & Collaborations : Leads the ARMA Lab , bridging engineering and clinical medicine. Collaborates with Vanderbilt Institute for Surgery and Engineering (VISE) and industry partners like AURIS Surgical Robotics. Translational focus through Titan Medical Inc. partnerships.

Kate O'Neillمشاهده پروفایل

استاد

• Global Environmental Politics
• Waste Management
• Circular Economy
• +۲ مورد دیگر

Kate O'Neill is Professor of Global Environmental Governance and Associate Dean for Instruction and Student Affairs at the Rausser College of Natural Resources, University of California, Berkeley. Her research addresses global environmental governance challenges across climate change, biodiversity loss, and waste management. She holds a PhD in Political Science from Columbia University and a BA from Oxford University. Current projects include US recycling policy transitions, global plastic governance, and disaster waste management. Research interests focus on the intersection of waste as a globalized resource, climate change linkages, and environmental justice. Her work analyzes how governance systems adapt to complex transboundary risks and waste labor dynamics. Publications demonstrate consistent focus on waste-to-climate interconnections, consumer behavior, and international policy effectiveness. Trends include innovative methodologies for studying global environmental problems and science communication through diverse media channels. Awards and Honors: 2022 CACS Team Award 2019 Distinguished Faculty Lecturer 2018 Sustainability Leadership Award Advising includes mentoring graduate students in environmental policy research. Outreach integrates academic work with public education through NPR, Washington Post, and international media interviews. Leads the O'Neill Group research lab and collaborates with local governments to evaluate policies like Berkeley's Single-Use Foodware Ordinance.