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Miryung KimView profile

Professor

• Software Engineering
• Software Engineering for Data Intensive Computing
• Automated Testing
• +7 more

Miryung Kim is a Professor and Vice Chair of Graduate Studies in UCLA's Computer Science Department, where she directs the Software Engineering and Analysis Laboratory. She is renowned for her pioneering work in software evolution, code clone management, and establishing the emerging field of Software Engineering for Data Intensive Computing (SE4DA and SE4ML). Her research focuses on automated testing and debugging for Apache Spark, developer tools for heterogeneous computing, and conducting systematic studies of refactoring practices in industry. She led the first large-scale study of data scientists in industry and developed JDebloat, a Java bytecode debloating tool that made significant tech transfer impact to the Navy. Her recent publications demonstrate strong trends in fuzz testing for big data analytics and heterogeneous computing, with a focus on natural input generation, co-dependence awareness, and leveraging hardware probes for acceleration. Her work bridges software engineering with data-intensive and heterogeneous computing paradigms. ACM SIGSOFT Influential Educator Award (2022) ICSME Most Influential Paper Award (2023 and 2020) NSF CAREER award Google Faculty Research Award Okawa Foundation Research Award Humboldt Fellow ACM Distinguished Member As an academic advisor, she has produced eight tenure-track faculty members at institutions including Columbia, Purdue, and Virginia Tech. Her research has been supported by National Science Foundation, Air Force Research Laboratory, Google, IBM, Intel, Okawa Foundation, Samsung, and Office of Naval Research. She previously served as Program Co-Chair of ESEC/FSE 2022 and has delivered keynotes at ASE 2019 and ISSTA 2022. She maintains active industry collaborations, serving as an Amazon Scholar at Amazon Web Services and having spent time as a visiting researcher at Microsoft Research.

Tran Trung LuuView profile

Assistant Professor

• Ultrafast Optics
• Strong-Field Laser Physics
• Attosecond Science
• +7 more

Tran Trung Luu is an Assistant Professor at the Department of Physics , Faculty of Science , The University of Hong Kong . He earned his B.Sc. from Vietnam National University (2007), M.Sc. from Korea Advanced Institute of Science and Technology (2010), and Ph.D. from Ludwig-Maximilians-Universität München (2015). Currently, he leads research in Ultrafast Optics , Strong-Field Laser Physics , and Attosecond Science , with a focus on probing coherent lattice vibrations and electron-phonon coupling in solids using high-harmonic spectroscopy. Education: B.Sc. in Physics, Vietnam National University (2007) M.Sc. in Physics, Korea Advanced Institute of Science and Technology (2010) Ph.D. in Physics, Ludwig-Maximilians-Universität München (2015) Research Interests revolve around Ultrafast Optics and Strong-Field Laser Physics , particularly Attosecond Science applications in condensed matter. His work bridges Nonlinear Spectroscopy with Quantum Dynamics in Solids , utilizing High-Harmonic Generation to study Electron-Phonon Coupling and Anharmonic Phonon Scattering . Publications highlight trends in Coherent Lattice Dynamics , Time-Resolved Photoelectron Spectroscopy , and Optical Manipulation of Bandgaps . Scientific Awards include the ISUILS Young Researcher Award (2015) and an ETH Postdoctoral Fellowship (2015) . As a Principal Investigator , he has secured grants such as RGC ECS project 27300820 and GRF project 17315722 , totaling over HKD 2,819,760. He actively supervises PhD and MPhil students in Ultrafast Optics projects and contributes to invited lectures on Attosecond Science at institutions like Phenikaa University and ETH Zurich.

• Network Engineering
• Internet Infrastructure
• Data Analysis
• +3 more

Zachary Bischof is a Researcher at Georgia Tech's School of Computer Science within the College of Computing. His work focuses on internet infrastructure, network reliability, and broadband analysis. He investigates topics such as outage detection, submarine cable networks, and the geographic and technical aspects of internet systems. His research spans from foundational studies on IPv4 utilization to applied projects like the iGDB platform integrating physical/logical network layers. Key areas of interest include internet measurement methodologies, infrastructure resilience, and the societal impact of telecommunications policies. He has contributed to improving outage detection algorithms, analyzing AS relationships, and evaluating consumer broadband experiences across diverse regions. His work often bridges technical and policy dimensions, emphasizing real-world applications. Notably, his publications explore undersea cable criticality, Google's AMP project's impact, and the utility of service-level agreements (SLAs) for broadband providers. While no formal awards are listed, his consistent output reflects sustained engagement with high-impact networking challenges. Zachary collaborates on projects like the Dasu platform for edge-based ISP measurements and has advised on submarine cable vulnerability assessments. His research integrates machine learning (e.g., hostname geolocation extraction) with traditional networking analysis, demonstrating interdisciplinary strengths. Future directions include expanding measurement frameworks and addressing emerging infrastructure challenges.

• Artificial Intelligence
• Constraint Programming
• Optimisation
• +10 more

Professor Kenneth Brown is affiliated with the Department of Computer Science at University College Cork (UCC) , Ireland. He holds the academic rank of Professor and is a Principal Investigator at the Insight Centre for Data Analytics and the CTVR (Telecommunications Research Centre) . BSc (Hons) Mathematics, University of Glasgow, 1986 MSc Mathematical Logic and the Foundations of Computation, University of Manchester, 1987 PhD Artificial Intelligence in Engineering, University of Bristol, 1991 His research focuses on Artificial Intelligence, constraint programming, optimisation, and distributed reasoning , with applications in wireless networking, sensor networks, and dynamic resource management . He also works on smart energy systems, data analytics, and human-centric applications. His recent work includes projects under the SFI-funded Insight Centre and Horizon Europe initiatives like GLACIATION and SEISMEC. His publications span topics from wireless sensor network optimization and cognitive radio to constraint-based decision support and AI in emergency management. He has led and contributed to over 15 recent publications in top-tier journals and conferences, showing a strong trend in AI-driven solutions for networked and intelligent systems. IEEE SECON 2015 Best Demonstration 2014 TAOS Best Paper Award in Access Networks and Systems Best paper, SMARTGREENS 2013 Enterprise Ireland Lifescience and Food Commercialisation Award Best Application Paper, AI2008 Best Application Paper, AI2006 Best paper nomination, ECAI 2004 Best Paper, Intl Conf AI in Design Professor Brown has supervised numerous PhD and MSc students in areas including constraint programming, sensor networks, evacuation modeling, and smart buildings. He has secured significant research funding from SFI, Enterprise Ireland, and IRCSET. He is actively involved in research leadership, serving as Deputy Director of Insight@UCC and PI in multiple national and international projects. He is a member of research groups involved in GLACIATION (green, responsible data operations), SEISMEC (human-centric industry), and SMARTeBuses . His lab supports a team of doctoral students and research staff working on AI, networking, and data analytics for real-world applications.

• Measurement systems
• Instrumentation design
• Electromagnetic induction
• +7 more

Wuliang Yin is a Reader in Electromagnetic Sensing and Instrumentation at the University of Manchester's School of Electronic and Electrical Engineering. His research focuses on measurement systems, electromagnetic induction, eddy currents, tomographic imaging, and non-destructive testing. He leads projects funded by EPSRC and the EU, including advancements in metal detector design and robotic inspection systems. Yin has over 400 publications and 20 patents, with notable awards such as the IEEE Instrumentation Society Best Application Award (2021) and Williams Awards (2014-2015). Current research interests include sensor-driven robotics, energy harvesting, and FPGA-based signal processing. He supervises 8 PhD students and 2 PDRAs, with former team members at institutions like Zhejiang University and Oxford. His work aligns with UN Sustainable Development Goals, particularly in advancing Digital Futures for industrial safety and efficiency. Key projects include the TSB-funded metal detector optimization (2014-2016), EPSRC-supported electromagnetic tensor imaging (2015-2018), and collaborations on robotic NDT systems like the FPGA-based EddyBot. Awards also include the 2000 Agilent Measurement Forum Excellent Paper Award and China’s National Scientific and Technical Progress Award (1999).

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +3 more

Grégory Mermoud is an Associate Professor at HES-SO Valais-Wallis, School of Engineering, specializing in Machine Learning, Artificial Intelligence, and large-scale distributed systems. He teaches computer networks, machine learning, and distributed computing. His research focuses on the intersection of ML, simulation, software systems, and data science. Affiliations: HES-SO Valais-Wallis (current), Cisco Systems (former Distinguished Engineer) Gregory holds a BSC in Computer Science and Communication Systems from HES-SO Valais-Wallis. With over a decade of industry experience at Cisco, he led teams developing flagship enterprise products and holds over 200 U.S. patents. His work spans network optimization, predictive modeling, and application-driven routing. Research Interests: Machine Learning applications in networking, Quality of Experience (QoE) prediction, network path optimization, and adaptive systems. His contributions include groundbreaking work on AI-driven network monitoring, QoE prediction models, and SD-WAN optimization. Advising & Grants: Oversaw recruitment of over 50 engineers at Cisco, many from HES-SO. His research has been supported by industry collaborations and academic grants. Labs/Teams: Engaged in collaborative projects with Cisco’s R&D teams and academic institutions, focusing on network intelligence and distributed systems innovation.

Fabiano RodriguesView profile

Associate Professor

• Ionospheric Physics
• Space Weather
• GNSS Signal Processing
• +2 more

Fabiano Rodrigues is the Eugene McDermott Professor and Associate Professor of Physics at The University of Texas at Dallas. He directs the Upper Atmosphere Remote Sensing Lab within the William B. Hanson Center for Space Sciences, holding a Ph.D. in Electrical and Computer Engineering from Cornell University. His research focuses on ionospheric physics, space weather, and remote sensing techniques. Current investigations examine ionospheric irregularities, GNSS signal scintillation, and equatorial plasma bubbles using ground-based radar systems and satellite data. He develops novel instrumentation for space weather monitoring and distributed observation networks. Recent publications demonstrate significant contributions to understanding ionospheric scintillation mechanisms and developing low-cost monitoring solutions. His work integrates satellite observations with numerical modeling to advance space weather prediction capabilities. Professor Rodrigues secured a $2.8 million NSF MRI grant to enhance the Jicamarca Radio Observatory in Peru, developing new radar receiving stations for advanced atmospheric studies. This represents the largest expansion of the facility since its 1960s establishment. His research has been recognized with an NSF CAREER award and AFOSR Young Investigator award. Current projects include developing student-built space weather monitors and analyzing solar radio burst impacts on GNSS signals.

Aydın Tarık ZenginView profile

Assistant Professor

• Robotics
• Autonomous Systems
• Embedded Systems
• +3 more

Aydın Tarık Zengin is an Assistant Professor at Istanbul Technical University , Department of Electrical Engineering , since 2022. He previously held administrative and academic roles (Head of Department, Deputy Director) at Istanbul Sabahattin Zaim University from 2015 to 2022. He earned his PhD from Kumamoto University (2010-2013) and has an educational background in Electrical Engineering. His research focuses on Robotics , Autonomous Systems , and Embedded Systems , with notable work in: Power Line Inspection Robots (ROSETLineBot, temperature mapping, sagging measurement) Autonomous Vehicle Platoons (control algorithms, stability under disturbances) AI/ML Applications (error correction codes, lane detection, wind forecasting) Human Skin Pain Modeling and Vibrotactile Feedback Systems He has received awards including the Young Author Award (2013) and Best Student Paper Award (2012) . His 15 most recent articles emphasize AI integration in power systems, autonomous vehicle control, and environmental monitoring. Current projects include the BAP-funded Multi-Channel Power Supply for Nuclear Electronics (2023-2025). He is an IEEE Member (2019-2020) and participates in academic governance as a board member.

Dave AndersenView profile

Associate Professor

• Computer Systems
• Distributed Systems
• Networked Environments
• +12 more

Dave Andersen is an Associate Professor at the School of Computer Science, Carnegie Mellon University , with research focusing on memory and power-efficient computing, robust distributed systems, and networked environments. He also serves as CTO of Enriched Ag . Education: Ph.D. and M.S. in Computer Science from MIT (2001, 2004), B.S. in Computer Science and Biology from the University of Utah (1995). Research Trends: Explores systems design in the post-Moore's Law era, emphasizing concurrency, low-latency geo-replicated storage, and RDMA in datacenters. Key projects include MemC3, Eiger, Cuckoo Filter, and FAWN. Teaching: Courses in Advanced OS, Distributed Systems, Low-Power Computing, and Network Security. Professional Service: Program committee roles at SOSP, NSDI, SIGCOMM, and DARPA ISAT advisory group. Personal: Active in running, climbing, and outdoor activities with detailed route guides for Pittsburgh and Boston.