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Ellen HelsperView profile

Professor

• Digital inequalities
• Information and Communication Technologies (ICTs)
• Mediated interpersonal communication
• +5 more

Ellen Helsper is a Professor of Digital Inequalities at the London School of Economics (LSE) within the Department of Media and Communications. She serves as Doctoral Programme Director and has held visiting scholar roles at institutions such as USC Annenberg and the Pontificia Universidad Católica de Chile. Her research focuses on digital inequalities, media literacy, and the socio-cultural impacts of digital technologies. Helsper earned her PhD from LSE in 2007 and has contributed to major projects like Global Kids Online and Connected Cities and Inclusive Growth. Her work bridges quantitative and qualitative methodologies to address disparities in digital engagement, particularly among disadvantaged groups. Education: PhD in Media and Communications, LSE (2007) MSc in Media Psychology, Utrecht University (1998) Research Interests: Digital inequalities, mediated communication, youth online behavior, and policy-relevant methodologies. She explores how socio-cultural contexts shape digital engagement and advocates for inclusive digital policies. Key Projects: From Digital Skills to Tangible Outcomes (DiSTO), Global Kids Online, and EU Kids Online. These projects analyze barriers to digital inclusion and measure outcomes of digital literacy interventions. Teaching: Convenes advanced research methods courses (MC4M2/MC5M2) and teaches Media and Globalisation (MC411). Former Director of the MSc Media and Communications (Research Track). Collaborations: Consults for governments and organizations on digital engagement strategies. Co-developed the play 'Cookies' addressing cyberbullying, blending research with public outreach. Labs/Teams: Leads research teams within LSE’s Department of Media and Communications, collaborating internationally through initiatives like the REMEDIS project.

Panagiotis MergosView profile

Lecturer

• Structural Engineering
• Earthquake Engineering
• Seismic Design
• +7 more

Dr. Panagiotis Mergos is a Lecturer in Structural Engineering at City and St George's, University of London, where he teaches across BEng, MEng, and MSc programs in civil and structural engineering. He is affiliated with the Department of Engineering within the School of Health, Sport and Bioscience. PhD in Civil Engineering, Aristotle University of Thessaloniki, Greece (2011) MSc in Earthquake Engineering, University of Pavia, Italy (2003) MSc in Structural Engineering, Aristotle University of Thessaloniki, Greece (2002) Diploma in Civil Engineering, Aristotle University of Thessaloniki, Greece (2001) Dr. Mergos’s research centers on structural optimization, performance-based seismic design, and the assessment and retrofit of existing reinforced concrete structures. His work integrates advanced computational methods, including metaheuristic algorithms such as genetic algorithms and the flower pollination algorithm, to achieve sustainable and resilient structural designs. He investigates embodied carbon reduction, optimal seismic performance, and innovative retrofitting techniques, such as the use of helical steel reinforcement for masonry piers. The recent publications of Dr. Mergos reflect a strong trend toward sustainable and computationally intelligent structural design. His work spans the optimization of 3D reinforced concrete frames, benchmark problems for algorithm validation, and the environmental impact of construction materials. He frequently publishes in high-impact journals such as Engineering Structures , Earthquake Engineering & Structural Dynamics , and Energy and Buildings , demonstrating interdisciplinary research at the intersection of structural engineering, sustainability, and computational science. Scientific Awards and Recognitions: No specific awards or fellowships are mentioned in the provided text. Dr. Mergos actively supervises research students, including Dimitrios Zimos, and has led significant research projects on seismic retrofitting and structural optimization. He has held research positions at École Polytechnique Fédérale de Lausanne and has collaborated with leading experts such as Professor Andreas Kappos. His professional membership as a Chartered Engineer with the Technical Chamber of Greece underscores his technical expertise. While no external grants are mentioned, his independent research output indicates strong project leadership and methodological innovation. Dr. Mergos contributes to advancing structural engineering through both theoretical developments and practical applications, particularly in the areas of seismic resilience and sustainable construction. His work on benchmark problems provides valuable resources for the optimization community, and his exploration of novel retrofitting techniques addresses critical needs in heritage and existing building safety.

• Integrated Circuit Design
• Low Power Design
• Mixed-Signal Testability
• +12 more

Ali Muhtaroğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His research spans integrated circuit design, energy systems, and computer architecture, with a strong emphasis on low-power, high-performance, and sustainable technologies. His research interests include: Integrated Circuit Design: Power delivery, mixed-signal testability, high-volume manufacturing (HVM), and low-power IC design. Energy Systems: Renewable energy integration, energy scavenging, thermoelectric and photovoltaic systems, and sustainable power management for mobile computing. Computer Architecture: Low-power architectures, parameterized designs using VHDL, FPGA-based implementations, and specialized computing systems such as Cellular Automaton Processors. His recent publications (2004–2009) reflect a consistent focus on solving practical engineering challenges in power integrity, testability, and energy efficiency. These works demonstrate innovation in on-die droop detection, AC I/O loopback testing, hybrid thermoelectric conversion, and solar integration in portable devices, indicating a trajectory toward sustainable and high-performance computing systems. He is actively involved in the Renewable Energy Design and Applications Research (REDAR) group, where interdisciplinary efforts have led to the development of a self-powered solar radiation measurement system. This supports empirical studies on sustainable power management. While no formal advising or grant information is available, his research output suggests leadership in applied electronics and energy systems. His work bridges semiconductor design, power electronics, and system-level optimization, contributing to advancements in mobile and embedded computing technologies.

Brendan SaltaformaggioView profile

Associate Professor

• Computer Systems Security
• Cyber Forensics
• Threat Intelligence
• +3 more

Brendan Saltaformaggio is an Associate Professor in the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering at the Georgia Institute of Technology, with a courtesy appointment in the School of Computer Science. He leads the Cyber Forensics Innovation (CyFI) Lab, focusing on advanced cybercrime investigation and malware analysis in mobile/IoT environments. His research spans computer systems security, cyber forensics, and untrusted software vetting. He has received funding from the ONR, DARPA, and NSF, among others. His work has been recognized with awards such as the ACM SIGSAC Doctoral Dissertation Award and Best Paper distinctions at top security conferences. Saltaformaggio earned his B.S. in Computer Science from the University of New Orleans (2012), and his M.S. and Ph.D. from Purdue University (2014, 2016). His research has led to impactful contributions, including the removal of malicious software packages from platforms like PyPI and the collaboration with the FBI on smart contract fraud investigations. Key achievements include developing frameworks like DSCRETE (Best Student Paper at USENIX Security 2014) and GUITAR (Best Paper at CCS 2015). His recent publications address topics such as botnet remediation, AI-driven forensic analysis, and cryptocurrency fraud detection. He actively contributes to the security community through conference tutorials and media outreach, with his work featured in outlets like IEEE GlobalSpec, TechRadar, and Communications of the ACM.

Tugce YukselView profile

Assistant Professor

• Vehicle Electrification
• Battery Design and Thermal Management
• Energy Systems Modeling
• +2 more

Tuğçe Yüksel is an Assistant Professor at Sabanci University's Faculty of Engineering and Natural Sciences, specializing in vehicle electrification and battery system design. She earned her PhD in Mechanical Engineering from Carnegie Mellon University in 2015, following MSc and BSc degrees from Middle East Technical University. Research focus on battery thermal management, electric vehicle efficiency, and regional climate impacts on mobility systems Recipient of prestigious Fulbright Scholarship and Tubitak Returning Scientist Program Active in teaching energy systems and advanced vehicle technologies Contributions to transportation sustainability through computational modeling and policy analysis Her work bridges mechanical engineering principles with practical applications in sustainable mobility, supported by collaborations with institutions like Carnegie Mellon University's Vehicle Electrification Group. Scientific Awards: Fulbright Scholarship (2010-2012): Support for Ph.D. study in the United States Tubitak 2232 Returning Scientist Program (2016-2018): Comparative study of battery thermal management techniques Sabanci University Internal Research Grant (2017-2018): Cost and benefits of vehicle electrification in Turkey Advising & Funding: Currently seeking motivated students for projects in vehicle electrification and battery modeling. Has secured funding for research on thermal management impacts and regional climate effects on electric vehicle performance.

Florian ReitzView profile

Researcher

• Computer Science
• Database Systems
• Information Retrieval
• +5 more

Florian Reitz is a Scientific Staff member at Schloss Dagstuhl - Leibniz Center for Informatics, specializing in the dblp computer science bibliography. His current role involves enhancing bibliographic data infrastructure and managing projects like SmartER. He holds a PhD from the University of Trier (2018), focusing on historical metadata analysis. Previously, he was a research assistant in the Databases and Information Systems group under Prof. Bernd Walter. His work centers on metadata quality, author disambiguation, and leveraging historical corrections for test collections. Research interests include information retrieval, database systems, and digital libraries. He contributes to projects like Scalable Author Disambiguation and has co-authored numerous publications on topics such as LLM applications, knowledge graphs, and FAIR data principles. Contact: florian.reitz@dagstuhl.de.

Rudolf GrübelView profile

Professor

• Probability Theory
• Stochastic Processes
• Combinatorial Analysis
• +3 more

Prof. Rudolf Grübel is a full Professor at the Institute for Insurance and Financial Mathematics, Leibniz University Hannover (since 1994). He previously held positions at the University of Paderborn (1993-1994), Technical University of Delft (1989-1993), and Imperial College London (1985-1989). His research focuses on Probability Theory, stochastic processes, and combinatorial structures, with applications to algorithm analysis and actuarial science. Expertise includes renewal theory, random trees, and statistical methods. Contributions to branching processes, Markov chains, and permutons. His work emphasizes probabilistic models in discrete structures (e.g., search trees, random graphs), with recent trends toward copula-based statistical tests and mixture representations of distributions. Key topics include tail behaviors, limit theorems, and boundary theory approaches. Publications span over 40 years, with notable contributions to the Annals of Probability, Journal of Applied Probability, and Electronic Journal of Probability. No awards are listed, but his extensive academic output reflects his influence in stochastic analysis.

Markus WagnerView profile

Associate Professor

• Optimization Algorithms
• Search-Based Software Engineering
• Renewable Energy Production
• +3 more

Markus Wagner is an Associate Professor at the Department of Data Science and AI, Monash University. He also serves as an Adjunct Associate Professor at the University of Adelaide and a Visiting Professor at Harbin Institute of Technology. His research spans heuristic optimization algorithms, search-based software engineering, and renewable energy systems. He has been a key figure in sustainability initiatives, including founding the IEEE CIS Task Force on Computational Intelligence in Energy and serving as the first Sustainability Officer at ACM SIGEVO. Education: PhD in Computer Science (University of Adelaide, 2013), Diplom in Computer Science (University of Koblenz-Landau, 2009). Notable awards include the 2024 German IT Security Award and the HUMIES Gold Award. He has attracted over AUD 12M in research funding and led projects like Grid Guru and Australian Research for Global Power System Transformation. Research Interests: Optimizing wave energy converters, algorithm design, and AI-driven sustainability solutions. He has pioneered methods in genetic improvement of software and contributed to smart energy systems through roles at the Monash Energy Institute. Awards: Multiple best paper awards, DECRA Fellowship (2016–2018), and recognition for contributions to evolutionary computation. His work bridges theoretical research with industry applications, funded by Google, Facebook, and defense/mining sectors.

Sanjiban ChoudhuryView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +5 more

Sanjiban Choudhury is an Assistant Professor at Cornell University's Ann S. Bowers College of Computing and Information Science and a Machine Learning Researcher at Aurora. He leads the PoRTaL group, focusing on interactive AI agents that self-align through few-shot human interactions. His research emphasizes reinforcement learning (RLHF), imitation learning (IRL), and foundation models for robotics, planning, and code generation. Key achievements include receiving the 2025 ONR Young Investigator Award for multistep robot task learning, the OpenAI Superalignment Award (2024), and a Google Research Award for LLM-based planning. His group develops modular robotics foundation models (MOSAIC), earning best paper awards at ICRA 2024 workshops. Research projects aim to bridge AI language models with robotic execution, enabling robots to interpret manuals/videos and perform complex tasks like engine repairs in hazardous environments. Lab members include doctoral students Gonzalo Gonzalez, Yuki Wang, Kushal Kedia, and master’s student Prithwish Dan. Ongoing work focuses on task super-alignment, human-robot transfer learning, and open-source training models for the robotics community. Current funding supports developing robots capable of fluid, multi-step tasks through integrated AI systems.

• Employee Recruitment and Selection
• Employability
• Job Seeking Behavior
• +3 more

Konstantina (Nadine) Georgiou is an Assistant Professor of Human Resource Management and Organizational Behavior at Athens University of Economics and Business (AUEB). She holds affiliations with multiple institutions, including prior roles as Assistant Professor of Training & Development at Hellenic Mediterranean University, Instructor at Hellenic Open University, and Lecturer at the University of Liverpool's online programs. Her research focuses on employee recruitment strategies, gamification in assessment methods, employability, and job-seeking behaviors. Georgiou's work emphasizes organizational psychology applications, particularly in leveraging technology for innovative recruitment solutions. Her recent publications explore gamified assessment methodologies, their impact on applicant perceptions, and the role of psychological capital in job search success. Key research areas include signaling mechanisms in recruitment, fairness perceptions in employment interviews, and the development of training interventions for career resilience. Her scholarly contributions appear in journals like the European Journal of Work and Organizational Psychology and the International Journal of Selection and Assessment. She actively engages with the academic community through symposia and handbook contributions, such as her work in the Handbook of Employee Selection (2017). Current research trends prioritize understanding how emerging technologies reshape HR practices and enhance organizational attractiveness through innovative selection processes.

Miroslava MarinovaView profile

Senior Lecturer

• Competition Law
• Commercial Law
• Energy Law and Regulation
• +3 more

Dr. Miroslava Marinova is a Senior Lecturer in Commercial Law at the University of East London's Royal Docks School of Business and Law, Department of Law & Criminology. She specializes in Competition Law, Commercial Law, Energy Regulation, and EU Law with a focus on antitrust and digital markets. Prior to joining UEL in 2021, she worked at Ofgem’s Enforcement team. Her research emphasizes EU competition policy, excessive pricing, and the ‘as efficient competitor’ test. Teaching: Module leader for International Competition Law and Intellectual Property Law, with additional roles in Tort Law and EU Law. She also contributes to the EU’s Training of National Judges Programme. Research Interests: Her work explores evolving competition law challenges in digital markets, including Google’s antitrust case implications, NFT regulation in the metaverse, and the CMA’s approach to AI-driven price discrimination. She critiques EU guideline drafts and judicial precedents like the Intel and Post Danmark II cases. Publications: Over 30 peer-reviewed articles, including works in World Competition , European Competition Journal , and Concurrences Review . Notable contributions include analyses of the CMA v Pfizer/Flynn case and the UK’s digital market regulation framework. Awards: Nominated for the Antitrust Writing Awards 2019 for her World Competition paper. Professional Engagement: Active in conferences such as the CCP Annual Conference and ASCOLA Conference, and a member of the European Competition Journal editorial board. Her ORCID is 0000-0001-6930-2435 .

• Unmanned Aircraft Systems (UAS)
• Autonomous Systems
• Control System Design
• +7 more

Tim McLain is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), College of Engineering. He has been a core faculty member since 1995, advancing from Assistant to Associate and full Professor by 2007. He served as Department Chair from 2007 to 2013 and continues to lead research in unmanned aircraft systems and control theory. Research Interests: His work centers on the dynamics, guidance, control, and autonomy of unmanned aircraft systems (UAS). Key areas include cooperative control, vision-based navigation, state estimation, and precision landing for UAVs. His research integrates control theory with practical implementation in aerial robotics. The recent publications reflect a strong trend in autonomous UAV operations, particularly in GPS-denied environments, vision-based navigation, and cooperative mission planning. His work spans theoretical control design, real-time estimation, and experimental validation on small aerial platforms. He has also contributed to MEMS sensor integration and modeling. Scientific Awards: No specific awards are listed in the provided text. Advising and Grants: Dr. McLain has advised over 25 graduate students, primarily on UAV-related thesis topics. His research has likely been supported by grants from agencies such as AFRL and NSF, inferred from collaborations and research topics, though specific grants are not listed. Labs and Teams: He is affiliated with UAV research teams at BYU, collaborating closely with R. Beard and others on autonomous flight projects, including formation control, search missions, and cooperative surveillance.

Heming CuiView profile

Associate Professor

• Distributed Systems
• Operating Systems
• Cloud Computing
• +7 more

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.

• Neuromorphic Engineering
• Embedded Artificial Intelligence
• Spiking Neural Networks
• +13 more

Benoit Miramond is a Full Professor at Université Côte d’Azur, affiliated with the Laboratory of Electronics, Antennas and Telecommunications (LEAT) and Polytech Nice Sophia. He serves as Director of Research at the 3IA Côte d'Azur – Interdisciplinary Institute for Artificial Intelligence, and leads the eBRAIN Research Group focused on neuromorphic engineering. His research interests lie at the intersection of embedded systems, artificial intelligence, and neuroscience. He specializes in bio-inspired AI , spiking neural networks , event-based processing , and neuromorphic hardware architectures . His work emphasizes energy efficiency, real-time performance, and hardware-aware design for AI at the edge. The recent publications highlight a strong trend in embedded AI , neuromorphic computing , and energy-efficient sensor networks . His team explores hardware-aware neural architecture search, distillation for spiking networks, and FPGA-based implementations, demonstrating a consistent focus on deploying intelligent systems in resource-constrained environments. He is actively involved in national and interdisciplinary initiatives: Member of PEPR IA (EMERGENCES project) Scientific advisor at AICO Technology (startup) Member of the Scientific Committee of the NeuroMod Institute Member of GDR BioComp He advises several researchers and students in the fields of embedded AI and neuromorphic systems. His work is supported by institutional affiliations and collaborative grants, particularly through 3IA Côte d’Azur and PEPR IA. He contributes to advancing the next generation of edge intelligence through interdisciplinary research bridging hardware, algorithms, and cognitive principles. His research is conducted within the LEAT laboratory, a CNRS UMR7248 unit, where the eBRAIN group fosters innovation in bio-inspired computing and adaptive hardware systems.

Matthew CooperbergView profile

Professor

• Prostate Cancer
• Clinical Outcomes Research
• Risk Assessment
• +13 more

Dr. Matthew Cooperberg is a Professor in the Department of Urology at the University of California, San Francisco (UCSF) School of Medicine. He serves as Urology Co-Leader for the UCSF Helen Diller Family Comprehensive Cancer Center Prostate Program and is Chief of Urology at the San Francisco VA Medical Center. His research spans clinical and outcomes aspects of prostate cancer, with leadership roles in national registries such as the AUA Quality (AQUA) registry. Bachelor of Arts in English, Dartmouth College (1991–1995) MD and MPH in Medicine and Health Policy, Yale University (1995–2000) Dr. Cooperberg’s research focuses on prostate cancer early detection, risk assessment, biomarker validation, health services research, quality of life outcomes, comparative effectiveness, and health disparities . He led the development of the UCSF Cancer of the Prostate Risk Assessment (CAPRA) scores and pivotal validation studies for commercial tissue-based genomic tests. His current NIH-funded research includes noninvasive miRNA-based risk stratification and a new project on spatial multi-omics to interpret AI pathology algorithms. His recent publications (2024–2025) reflect a strong trajectory in active surveillance, imaging (MRI, PSMA PET), AI in diagnostics, racial disparities, transgender health, and real-world genomic testing utility . These works appear in top journals including JAMA , JNCI , Eur Urol , and Radiology , indicating a multidisciplinary impact across urology, oncology, health policy, and medical ethics. Scientific awards include the AUA Gold Cystoscope Award and multiple national research prizes. He has also received recognition from the American Cancer Society, AMA, and regional urology societies. Dr. Cooperberg has mentored numerous trainees and leads major research initiatives. He was Principal Investigator on NIH R01 grants R01CA198145 (completed) and R01CA160816 (co-PI). His leadership in the AQUA registry and CaPSURE underscores his role in shaping national urologic care standards. He is actively involved in lab and team-based research, including the UCSF Prostate Program, multi-institutional collaborations (SEARCH cohort), and editorial leadership at European Urology and Journal of the National Cancer Institute .