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Tauhidur RahmanView profile

Assistant Professor

• Mobile and Sensor Systems
• Artificial Intelligence
• Health Informatics
• +5 more

Tauhidur Rahman is an Assistant Professor at the Halıcıoğlu Data Science Institute, UC San Diego, and directs the MOSAIC Lab. His research focuses on mobile health technologies leveraging acoustic/electromagnetic signals from the human body/environment to monitor health behaviors (e.g., eating, sleep, addiction) and environmental factors (e.g., food quality, disease spread). His work integrates applied physics, machine learning, and embedded systems to create low-power, unobtrusive sensing solutions. Education: PhD in Information Science, Cornell University (2017) MS in Electrical Engineering, University of Texas at Dallas (2012) BS in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2009) Research Interests: Rahman's work spans three core areas: Sensor Development: High-fidelity capture of physiological/environmental signals using novel modalities like backscattered waves Signal Interpretation: Algorithm development to map raw signals to behavioral/health metrics (e.g., eating patterns, opioid cravings) Mobile Computing: Efficient implementation of algorithms in low-resource devices Recent Trends in Publications: Recent work emphasizes opioid use tracking, mental health interventions, and digital epidemiology. Notable projects include FluSense (influenza surveillance) and OpiTrack (clinical opioid monitoring), demonstrating real-world impact through NIH/NSF/DARPA funding. Awards: Google Research Scholar Award 2023 Google PhD Fellowship 2016 ACM Ubicomp Best Paper Honorable Mention (2015) Outstanding Teaching Award (Cornell, 2015) Grants & Labs: Current funding includes NIH grants for opioid research and NSF awards for sleep/cognitive studies. His lab collaborates with clinical partners and industry (e.g., Intel Pandemic Response Initiative). He co-founded the Digital Biomarkers Workshop series and edited Springer's Contactless Human Activity Analysis .

Ramesh SitaramanView profile

Professor

• Networking and Distributed Systems
• Theoretical Computer Science
• Internet-scale Systems
• +5 more

Ramesh Sitaraman is a Distinguished Professor and Associate Dean for Educational Programs and Teaching at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He is a world-renowned expert in Internet-scale distributed systems and content delivery networks (CDNs). His contributions include pioneering the first major CDN (Akamai) and foundational work in edge computing and video streaming technologies. He holds part-time roles as Akamai’s Chief Consulting Scientist and directs the Laboratory for Internet-Scale Distributed Systems (LIDS). Education: PhD in Computer Science, Princeton University B.Tech. in Electrical Engineering, Indian Institute of Technology, Madras Research Interests: His work spans distributed systems, networking, energy efficiency, and sustainable computing. Key areas include: CDNs and edge computing architectures Adaptive bitrate algorithms (e.g., BOLA) Energy-aware systems and decarbonization Algorithmic design for scalability Awards and Honors: AAAS Fellow (2023) IEEE William R. Bennett Prize (2023) ACM SIGCOMM Networking Systems Award (2018) ACM and IEEE Fellowships (2019) University Distinguished Teaching Award (2020) Teaching and Leadership: As founding director of the Informatics Program, he bridges computer science with interdisciplinary fields. He has received top teaching awards and advocates for curiosity-driven research and broad undergraduate education. Labs and Initiatives: Directs LIDS and collaborates with the Center for Data Science. Research focuses on sustainable internet infrastructure and next-generation distributed systems.

• Antenna Design
• 5G Technology
• Microwave Engineering
• +3 more

Long Qian is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on advanced antenna technologies, particularly for 5G and beyond communication systems. He specializes in compact, high-performance antenna designs including metasurface antennas, MIMO systems, and beamforming techniques. Research interests include antenna miniaturization, broadband operation, polarization diversity, and integration with modern communication devices. His work addresses challenges in 5G terminal applications, space-based solar power transmission, and wireless infrastructure optimization. Recent publications (2019-2024) highlight innovations in low-profile antennas, multi-mode operations, and interference mitigation strategies. These contributions advance antenna efficiency, bandwidth, and compatibility with emerging wireless standards. No scientific awards or grants are explicitly mentioned in the provided information. His current affiliation involves collaboration with the School's research groups in electronic engineering and computer science.

• Antenna Engineering
• Wireless Communications
• MIMO Technology
• +4 more

Imran Shoaib is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. He specializes in advanced antenna technologies for wireless communication systems, with a focus on MIMO configurations, reconfigurable systems, and metamaterial applications. His research addresses challenges in 5G networks, mm-wave communication, and antenna design for mobile devices. His work spans topics including beam steering, polarization control, and compact antenna solutions for modern wireless terminals. Recent contributions include innovations in metasurface-based antennas, wideband systems, and multi-standard compatibility for smartphones and tablets. Dr. Shoaib's publications reflect a strong emphasis on practical implementations of theoretical concepts, with applications ranging from RF front-end optimization to signal integrity in mobile networks. His research has been published in high-impact journals and conferences, contributing to advancements in antenna engineering and wireless communication infrastructure.

Eduward TangdionggaView profile

Associate Professor

• Optical Communication
• Wireless Communication
• Photonics
• +7 more

Eduward Tangdiongga is an Associate Professor in Electrical Engineering at Eindhoven University of Technology (TU/e). He leads research in the Electro-Optical Communication System group, focusing on optical access networks, hybrid optical-radio communication, and photonic technologies for wireless systems. His work emphasizes low-cost, high-performance solutions for last-mile communication and indoor networks. He holds MSc (1994) and PhD (2001) degrees from TU/e, with early research at the Institute for Photonic Integration. He has led EU and Dutch projects like ALPHA, POF-PLUS, and BROWSE+, contributing over 500 publications. His expertise spans passive optical networks, radio-over-fiber systems, and photonic-assisted wireless technologies. Research Areas: Optical Wireless Communication, LiFi, Multimode Fibers, Photonic Integration, 5G/6G Infrastructure Key Projects: BROWSE+, ELIoT, FlexCom, Smart-One, KPN Smart Two+ He has been recognized with the Corning Outstanding Student Paper Competition Finalist (2025). His lab infrastructure collaborations enable cutting-edge advancements in optical wireless systems, supporting PhD/postdoc research in areas like beam steering, high-speed transmission, and network scalability.

Debargha DeyView profile

Assistant Professor

• Human Factors in Transportation
• Intelligent Transportation Systems
• Ubiquitous Computing
• +4 more

Debargha (Dave) Dey is an Assistant Professor in the Department of Industrial Design at Eindhoven University of Technology. He holds dual roles as an EAISI Foundational Assistant Professor and EAISI High Tech Systems researcher. His work focuses on human factors in Intelligent Transportation Systems and Future Mobility, with expertise in ubiquitous computing, multimodal interaction, and automotive user interfaces. He earned a PhD cum laude from TU Eindhoven in 2020, followed by postdoctoral research at TU Eindhoven and Cornell Tech. Education background includes a Master's in Computer Science from Vanderbilt University (2012), PDEng in User-System Interaction from TU Eindhoven (2017), and a PhD in Human-Machine Interaction (2020). Research interests emphasize traffic safety, autonomous vehicle-pedestrian interaction, and cross-cultural behavior modeling for AV development. His work addresses UN Sustainable Development Goals related to safe cities and communities (SDG 11). Recent research explores external human-machine interfaces (eHMIs) for autonomous vehicles, using VR simulators and participatory design methods. He investigates multimodal communication (light/sound) effectiveness and collaborative in-car activities' fairness. Awards: AutomotiveUI '22 Best Paper Award (2022) CHI '20 Best Paper Award (2020) AutomotiveUI '20 Honorable Mention (2020) Best Demo Award (2017) Active in ACM SIGCHI and AutomotiveUI communities, he serves on steering committees and organizes conferences like AutomotiveUI 2023. His work bridges academia and industry through collaborative projects on smart mobility solutions.

Mei YangView profile

Professor

• Computer architectures
• Interconnection networks
• Machine learning
• +5 more

Mei Yang is a Professor and Chair in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas (UNLV). Her research focuses on computer architectures, interconnection networks, machine learning, embedded systems, and wireless sensor networks. She leads the Networking and System Integration Laboratory (NSIL), advancing interdisciplinary projects at the intersection of hardware design and intelligent systems. Education Ph.D., Computer Science, University of Texas at Dallas, 2003 Research Interests Dr. Yang's work spans network-on-chip (NoC) architectures, thermal-aware task management, and deep learning applications in microscopy and environmental monitoring. She explores energy-efficient computing, cybersecurity in many-core systems, and educational strategies to engage girls in STEM through hands-on projects like IoT and embedded systems. Articles Trends Her recent publications emphasize hardware security (e.g., thermal covert channels), AI-driven biomedical image analysis, and optimizing multi-chiplet systems. She bridges theoretical contributions with practical implementations, such as FPGA-based NoC emulators and GAN-based protein localization tools. Labs & Teams Hosts the NSIL lab, fostering collaborations in photonic networks-on-chip, embedded systems, and cybersecurity. Active in IEEE and ACM conferences, organizing special sessions on high-performance computing and network coding.

• Telecommunications
• Networking
• LTE/EPC Architecture
• +4 more

Mauricio ITURRALDE is a Lecturer at CESI La Rochelle, specializing in telecommunications and network architecture. His recent work focuses on enhancing Quality of Service (QoS) for in-train mobile devices through mobile relay deployment in railway communications. He presented this research at the 15th IAPR International Workshop on Document Analysis Systems (DAS 2022) in May 2021. Key research interests include LTE/EPC systems, mobile relay performance analysis, and overcoming electromagnetic insulation challenges in railway vehicles. His simulation-based studies explore traffic models, protocol stacks, and QoS parameters under loaded conditions. Active in academic events, he has participated in conferences like CICLing 2019, CoFaBRAs, and various Journées scientifiques organized by L3i. His work contributes to advancing mobile communication solutions for high-mobility environments.

Jonathan WoodruffView profile

Research Fellow

• Computer Architecture
• Security
• Programming Languages
• +3 more

Dr. Jonathan Woodruff is a Senior Research Associate at the Department of Computer Science and Technology, University of Cambridge. His research focuses on secure computing architectures, with a particular emphasis on the CHERI (Capability Hardware Enhanced RISC Instructions) project. His work spans computer architecture, security, programming languages, and hardware-software co-design. Research Interests: Hardware-enhanced memory safety Secure processor architectures (RISC-V/CHERI) Formal verification of microarchitectures Compiler/runtime systems for secure execution Transient-execution attack mitigation Global address space security Recent work emphasizes validation of the Morello platform (ARM's CHERI implementation) and exploration of architectural contracts for safe speculation. His contributions include novel memory protection mechanisms and performance evaluation of secure architectures.

Quinn QiaoView profile

Professor

• Batteries
• Solar Cells
• Micro/Nano Fabrication
• +7 more

Quinn Qiao is a Professor in the Department of Mechanical and Aerospace Engineering at Syracuse University, with an affiliate Professor role in the Department of Electrical Engineering and Computer Science. He currently serves as the Interim Associate Dean for Research and Site Director of the NSF IUCRC Center for Solid-State Electric Power Storage (CEPS), while also leading the NSF Engine project on campus. Previously, he held the Harold C. Hohbach Professorship in Electrical Engineering at South Dakota State University and directed the U.S. Economic Development Center there. Education: Ph.D. in Engineering (Virginia Commonwealth University, 2006) M.S. in Optics and Fine Mechanics (Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 2003) B.S. in Engineering (Hefei University of Technology, 1999) Dr. Qiao’s research focuses on energy storage and photovoltaic technologies, including lithium-ion, lithium-metal, and solid-state batteries; perovskite and organic solar cells; and biomedical sensors. His work emphasizes improving material stability, charge transport efficiency, and scalability for real-world applications. He has pioneered methods for grain engineering in perovskite materials, developed novel interfacial designs for lithium metal anodes, and advanced sensor networks for precision agriculture. His publications highlight breakthroughs in battery anode optimization, perovskite solar cell fabrication, and sensor technology. The articles collectively address challenges in energy storage systems, such as dendrite suppression in lithium batteries and defect passivation in solar cells. Recent work explores hybrid materials and advanced manufacturing techniques to enhance device performance and longevity. Awards: 2019 SDSU Commercialization Award 2016 Faculty Excellence for Global Engagement in Research 2015 Distinguished Researcher of the Year 2010 NSF CAREER Award 2009 Bergmann Memorial Research Award 2006 Chinese Government Award for Outstanding Self-Financed Student Abroad Qiao has advised numerous students and led grants focused on energy storage and photovoltaics. He co-founded the CEPS center and contributed to the NSF Engine project, fostering industry-academia collaborations. His research labs focus on nanomaterials synthesis, electrochemical characterization, and device prototyping. He maintains affiliations with interdisciplinary teams at Syracuse University and previously at South Dakota State University, where he directed the U.S. Economic Development Center and mentored researchers in advanced materials for photonics and energy systems.

Negar ReiskarimianView profile

Assistant Professor

• Electronic Materials
• Quantum Materials and Devices
• Integrated Circuits
• +3 more

Negar Reiskarimian is an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), affiliated with the School of Engineering. Her research focuses on electronic materials, quantum devices, and integrated circuit systems. Research Highlights: Dr. Reiskarimian specializes in developing advanced circuit architectures for wireless communication systems, including interference cancellation techniques and high-performance receiver designs. Her work emphasizes improving signal integrity and energy efficiency in mobile devices through innovative analog circuit solutions. Recent Contributions: In 2024, her team demonstrated a novel wireless receiver architecture that cancels interference at the earliest stages of signal processing, significantly enhancing mobile device performance. This work reflects her broader interests in RF circuit design and system-level optimization. Affiliations & Contact: She is based in MIT's EECS department (Office 39-427A) and can be reached at negarr@mit.edu or +1 617-253-0726.

Arno RuckelshausenView profile

Professor

• Agricultural Engineering
• Robotics
• Sensors and Sensor Systems
• +3 more

Prof. Dr. Arno Ruckelshausen is a retired professor at Osnabrück University of Applied Sciences, affiliated with the Faculty of Engineering and Computer Science. His work focuses on agricultural technology, robotics, and sensor systems. He introduced innovative technologies like the BoniRob autonomous field robot and contributed to projects such as the Competence Center of Applied Agricultural Engineering (COALA). Education: 1977–1983: Diploma in Physics, University of Giessen 1983–1987: Research Assistant at University of Giessen and collaborations with Max Planck Institute and Argonne National Lab 1987: PhD in Experimental Physics (Nuclear Physics and Multidetector Systems) Research Interests: Prof. Ruckelshausen’s research addresses precision agriculture, field robotics (e.g., BoniRob), phenotyping (e.g., BreedVision), and sensor systems for soil analysis (ISFET-based systems). His work emphasizes automation, real-time data processing, and interdisciplinary applications in crop science and environmental monitoring. Awards: Deutscher Innovationspreis Gartenbau 2015 euRobotics Technology Transfer Award 2015 (2nd Prize) Wissenschaftspreis Niedersachsen 2019 Grants and Projects: AgriCareerNet: Certificate Program in Agricultural Imaging Systems (BMBF) Crop Virus Scan: Spectral Imaging for Virus Detection (FNR/BMEL/GFPi) Experimentierfeld Agro-Nordwest (BLE/BMEL) Teaching: Courses include Optoelectronics, Sensors, Image-Based Phenotyping, and international programs on agricultural innovation. He mentors student teams like the Field Robot Team (International Field Robot Event). Key Contributions: Developed BoniRob as a field robot platform, pioneered ISFET-based soil nutrient analysis, and co-founded the Competence Center ISOBUS e.V. and AgroTech Valley Forum.

• Mobile Application Development
• Programming Languages
• Compiler Construction
• +3 more

Prof. Dr. Dragan Macos is a Professor at the Berlin University of Applied Sciences, affiliated with the Building Construction Department. His research focuses on mobile application development (particularly iOS), compiler construction for functional programming languages, and simulation models in transportation and wireless communication. He teaches courses on media informatics, compiler design, and software project management at both bachelor's and master's levels. His work spans technical contributions in high-availability data center backends, simulation performance optimization, and toll system modeling. Recent publications emphasize distributed systems, parallelization techniques, and the application of simulations in real-world scenarios. No scientific awards are listed, but his engagement in international conferences highlights active research collaboration. Teaching: Media Informatics, Compiler Construction, and TI Bachelor programs Research: Mobile apps, functional programming languages, stochastic traffic models Key Publications: Over 10 peer-reviewed articles between 2010–2017 on simulation, networking, and embedded systems Personal interests include Istrian culture and Croatian heritage, reflecting a passion for regional history and natural landscapes.

• Computer Networks
• Machine Learning
• Artificial Intelligence
• +5 more

Hala ElAarag is a Professor of Computer Science at Stetson University, located in Deland, Florida. She holds a PhD from the University of Central Florida (2001) and MS/BS degrees from Alexandria University (1991/1989). Her research focuses on computer networks, machine learning, cybersecurity, and computer science education. She has authored over 70 publications and 11 edited books, including her notable work Web Proxy Cache Replacement Strategies Simulation, Implementation, and Performance Evaluation . ElAarag has served in leadership roles, such as President of the Consortium of Computing Sciences in Colleges (2016-2018) and Vice President (2014-2016). She has also been active in organizing conferences, including co-chairing the Communication and Networking Simulation Symposium and Spring Simulation Multiconference. Her teaching philosophy emphasizes hands-on learning, reflected in her development of 15 computer science courses, including core and specialized subjects like Computer Networks and Algorithms Analysis. Her research trends span algorithm optimization, network security, and autonomous systems, with recent work in AI-driven password cracking and quadrotor modeling. Awards include the IEEE Region 3 Biedenbach Award (2022) and multiple teaching and service recognitions. She has mentored numerous students and contributed to STEM outreach through initiatives like the Tech Trek Coordinator for middle school girls (2021-2023). ElAarag’s contributions extend to editorial roles in journals like Journal of Computing Sciences in Colleges and Simulation: Transactions of SCS . Her work bridges academic research and practical application, emphasizing pedagogical innovation and interdisciplinary collaboration.

• Network Science
• Data Science
• Complex Networks
• +3 more

Artur Ziviani is a Senior Researcher at the Data Extreme Lab (DEXL) of the National Laboratory for Scientific Computing (LNCC), a research unit under Brazil's Ministry of Science, Technology, and Innovation (MCTI). He coordinates LNCC's Multidisciplinary Graduate Program in Computational Modeling (M.Sc./Ph.D.). With a Ph.D. from Université Pierre et Marie Curie (Paris 6) and a B.Sc./M.Sc. from Federal University of Rio de Janeiro (UFRJ), he has held visiting positions at INRIA (France) and taught at Paris 6. His research focuses on network science, data science, and interdisciplinary applications, including complex networks, machine learning, and mobility analysis. He is a Senior Member of IEEE and ACM, and an Affiliated Member of the Brazilian Academy of Sciences (2013-2017). His work spans algorithmic information theory, network centrality, and human-aware communication strategies. Recent projects include mobility modeling, protein interaction networks, and biodiversity informatics. Education: Ph.D. (Paris 6, 2003), M.Sc. (UFRJ, 1999), B.Sc. (UFRJ, 1998). Research interests include network characterization, data-driven modeling, and applications in healthcare and biodiversity. His publications analyze network structures, centrality metrics, and spatiotemporal data, with contributions to IEEE, ACM, and Elsevier journals. He also leads initiatives on SDN architectures for high-performance computing and collaborative learning platforms. Awards include recognition as an IEEE Impact Creator and senior fellowships. His team works on projects like SafeCityMap (mobility during pandemics) and MobHet (heterogeneous mobility prediction). He serves on editorial boards for Computer Networks and IEEE Communications Surveys.