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Dharanidhar DangView profile

Assistant Professor

• Photonic Computing
• AI Hardware Acceleration
• Memristor-based Computing
• +3 more

Dharanidhar Dang serves as Assistant Professor in the Department of Computer Engineering at the College of AI, Cyber and Computing, The University of Texas at San Antonio (UTSA), where he advances hardware-centric artificial intelligence solutions through photonic and memristor technologies. Education Ph.D., Texas A&M University His research program bridges hardware innovation and biomedical applications, with primary focus on photonic computing architectures for real-time AI acceleration and memristor-based neuromorphic systems. He investigates critical challenges in hardware reliability (particularly degradation in memristor crossbars), energy efficiency in photonic accelerators, and co-design methodologies that optimize both algorithms and physical implementations. His biomedical work applies machine learning to macrophage biology, identifying predictive signatures for inflammatory diseases through computational immunology approaches. Analysis of his 2020-2025 publications reveals three dominant research trajectories: 1) Silicon photonic accelerators (P-ReTI, P-ReTiNA, SOFTONIC) targeting real-time and energy-efficient AI, 2) Memristor reliability frameworks addressing aging effects in deep learning hardware, and 3) Translational biomedical applications where machine learning deciphers macrophage behavior in inflammatory bowel disease and preterm infant lung conditions. This tripartite focus demonstrates exceptional versatility across hardware engineering and life sciences.

Willis LangView profile

Researcher

• Database Systems
• Cloud Computing
• Data Management
• +3 more

Willis Lang is a Researcher at Microsoft , focusing on Database Systems , Cloud Computing , and Data Management . His work bridges academic research with industrial applications in cloud databases. Education: PhD in Computer Sciences - Databases (University of Wisconsin-Madison, 2012) MS in Computer Science and Engineering - Databases (University of Michigan, 2008) BMath in Honours Computer Science - Bioinformatics (University of Waterloo, 2006) Research Interests: Willis’s research spans Database Systems , Cloud Computing , and Energy Efficiency , with a focus on scalability, tenant management, and predictive provisioning. His work addresses real-world challenges in cloud database optimization, multi-tenancy, and power-aware systems. Recent Publications highlight trends in Cloud Database Efficiency , including auto-scaling, tenant placement, and energy-conscious cluster design. His contributions often involve collaboration with industry leaders like Microsoft and Jignesh M. Patel. Scientific Awards: Best Paper Award, DaMoN 2010 Best Presented Award, Midwest Database Research Symposium 2007 Service: Willis has served as a reviewer for conferences like SIGMOD, VLDB, and journals including VLDBJ and JPDC. His expertise is sought in cloud and database research communities.

Zahra MohagheghView profile

Professor

• Probabilistic Risk Assessment (PRA)
• Socio-Technical Risk Analysis
• Human-System Reliability
• +4 more

Zahra Mohaghegh is a Professor and Donald Biggar Willett Faculty Scholar in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois Urbana-Champaign. She directs the Socio-Technical Risk Analysis (SoTeRiA) Research Laboratory , focusing on advancing risk science for complex systems like nuclear power plants, advanced reactors, civil aviation, and oil industries. Her work integrates probabilistic risk assessment (PRA), probabilistic physics of failure, human-system reliability, AI trustworthiness, uncertainty analysis, and risk-informed policymaking, supported by grants from DOE, NSF, NRC, and IAEA. Academic Positions: Professor (2025–present), Associate Professor (2020–2025), Assistant Professor (2013–2020), Part-Time Faculty at Beckman Institute (2015–present) Her research explores socio-technical systems through hybrid models combining technical systems with organizational factors, earning awards like the NSF Mid-Career Achievement Award and American Nuclear Society's Mary Jane Oestmann Professional Women's Achievement Award. She has contributed to U.S. National Academies committees on transport airplane risk assessment and Coast Guard compliance programs. Recent publications focus on spatiotemporal risk modeling, fire PRA advancements, human-digital twin interactions, and AI integration in nuclear safety. Her work emphasizes reducing false negatives in screening analysis, validating simulation models, and connecting safety with financial performance through probabilistic physics of failure. She actively collaborates with academia, industry, and regulators, including DOE's Carbon Free Power Project and OECD-NEA's NEST SMR initiative. Scientific Awards: National Science Foundation Mid-Career Achievement Award Dean's Award for Excellence in Research (Assistant and Associate levels) George Apostolakis Award in risk assessment American Nuclear Society Mary Jane Oestmann Professional Women's Achievement Award She serves on the Board of Directors for the International Association for Probabilistic Safety Assessment and Management (IAPSAM) and acts as a technical advisor to the U.S. National Academies on risk assessment methodologies.

Andrea Di FalcoView profile

Professor

• Nano-photonics
• Metamaterials
• Plasmonics
• +6 more

Andrea Di Falco serves as Professor and Director of Impact at the School of Physics and Astronomy, University of St Andrews. He leads the Centre for Biophotonics and maintains an active research group focused on cutting-edge photonics research. His institutional affiliations include editorial work for Photonics and Nanostructures: Fundamentals and Applications journal since 2013. University of St Andrews - School of Physics and Astronomy (Current) Centre for Biophotonics (Current) Photonics and Nanostructures: Fundamentals and Applications (Editor since 2013) Professor Di Falco's research spans multiple photonics domains with particular expertise in nano-photonics, metamaterials, plasmonics, and biophotonics. His work bridges fundamental optical physics with practical applications, especially in metasurface technology and flexible photonics. The research demonstrates strong interdisciplinary connections between physics, materials science, and biomedical applications, contributing to multiple UN Sustainable Development Goals. His recent publication portfolio shows a clear trend toward increasingly sophisticated metasurface applications, with growing integration of machine learning techniques for photonic design. The research spans fundamental optical physics, novel material development, and practical biomedical applications, demonstrating remarkable breadth while maintaining technical depth in photonics. EPSRC Fellowship (2010) for flexible metamaterials and plasmonics research ERC Consolidator Grant (2019) for biophotonic applications of optically trapped photonic membranes Professor Di Falco actively supervises postgraduate research students and has led numerous significant research projects, including the current Holographic Integrated Photonic Platform project (2024-2025). His research program has secured substantial funding from EPSRC, European Research Council, and Medical Research Council, demonstrating strong recognition of his work's significance and potential impact. His group maintains the SynthOpt research website as a hub for their collaborative work. The SynthOpt research group operates within the School of Physics and Astronomy at St Andrews, maintaining strong connections with both theoretical and experimental photonics researchers. The team focuses on developing novel photonic structures with applications ranging from fundamental optics to biomedical sensing and human-computer interaction technologies.

Mustapha C.E. YagoubView profile

Professor

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +5 more

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

• Digital Transformation
• Business Process Management (BPM)
• Robotic Process Automation (RPA)
• +4 more

Prof. Dr. Ralf Plattfaut is a Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023. He heads the Process Innovation & Automation Lab , focusing on digital transformation, business process management, and robotic process automation (RPA). Prior to this, he was Professor for Business Informatics at the South Westphalia University of Applied Sciences (2019–2023), and a management consultant at McKinsey & Company (2013–2019). Current Role: Professor (since 2023) Lab Leadership: Process Innovation & Automation Lab Consulting: Management consultant and keynote speaker Research Interests span digital transformation, IT governance, RPA adoption, and postcolonial perspectives in information systems. His work addresses organizational challenges in process automation, agile methodologies, and human-AI collaboration. Recent Publications (2024–2025) examine paradoxes in agile transformations, postcolonial IT governance in NGOs, AI adoption in healthcare, and behavioral barriers like status quo bias. These studies often employ computational grounded theory and cross-organizational case analyses. Scientific Recognition includes multiple Best Paper and Best Conference Paper nominations at ICIS, HICSS, and IFIP E-Government Conferences, as well as recognition by Wirtschaftswoche as a top German-speaking management researcher under 40.

Weiqing SunView profile

Professor

• Computer Security
• Network Security
• Malware Defense
• +6 more

Weiqing Sun is a Professor in the Computer Science and Engineering Technology Program within the Department of Engineering Technology at the College of Engineering, University of Toledo. He serves as the Program Director for the Master's Programs in Cyber Security and is also the Cyber Security Faculty Fellow for UT DTAS (Division of Technology and Advanced Solutions). His office is located in NE 1627 at the University of Toledo. Dr. Sun earned his Ph.D. degree from the Computer Science Department at Stony Brook University (SUNY at Stony Brook) in 2008. He completed his undergraduate and master's education in China, holding both B.E. and M.E. degrees in Computer Science and Engineering from Tongji University, Shanghai. Dr. Sun's primary research focuses on computer and network security, with particular emphasis on malware defense and detection, security policy development, security testbed creation, and intrusion detection systems. His work extends to enhancing security across various critical infrastructure systems including smart grids, cloud computing environments, software-defined networks, unmanned aerial vehicles, healthcare information systems, and transportation networks. His research approach combines theoretical foundations with practical implementations, often developing simulation testbeds to evaluate security solutions in realistic scenarios. Analysis of Dr. Sun's publication record reveals a consistent focus on practical cybersecurity solutions across multiple domains. His work shows evolution from foundational security mechanisms toward specialized applications in emerging technologies like UAV networks, smart grids, and connected vehicles. A notable trend is his development of simulation testbeds for security evaluation, demonstrating his commitment to bridging theoretical security concepts with real-world implementation challenges. His research increasingly incorporates machine learning and deep learning techniques for intrusion detection and anomaly identification. Dr. Sun has been actively involved in mentoring students and developing curriculum in cybersecurity. His teaching portfolio includes advanced courses in computer and network security, software engineering, programming languages, and web services. He has contributed to cybersecurity education through the development of hands-on lab environments that provide practical security experience for students. His research has received support from the Ohio Department of Transportation and the University of Toledo, enabling his work on critical infrastructure security. Dr. Sun leads research initiatives focused on creating secure environments for emerging technologies and critical systems. Dr. Sun directs the Cyber Security Research Lab at the University of Toledo, where his team works on developing innovative security solutions for various platforms and systems. The lab focuses on practical security implementations, often creating simulation environments to test security mechanisms before real-world deployment.

Ramiro SerraView profile

Associate Professor

• Electromagnetic Compatibility (EMC)
• Statistical Electromagnetics
• Wireless Coexistence and Interference Studies
• +3 more

Ramiro Serra is an Associate Professor at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in the Netherlands. He is affiliated with the Electrical Energy Systems group and the High Tech Systems Center , focusing on Power Conversion and Electromagnetics . Research Interests include Electromagnetic Compatibility (EMC) , Statistical Electromagnetics , Wireless Coexistence , and Interference Studies . His expertise spans the design, modeling, and operation of Electromagnetic Mode-Stirred Reverberation Chambers , noise propagation in IC substrates, and EMC aspects in large infrastructures. Notable Contributions involve novel methods for EMI Reduction in mixed electrical class modules, VNA-Based TRP Measurements , and quantifying Loading Effects in reverberation chambers. His work impacts domains like Consumer Electronics , Automotive , and Medical Devices . Academic Leadership includes roles in international committees such as the International Steering Committee of EMC Europe , Chair of URSI Commission E , and Secretary of the General National URSI Committee . He also contributes to standardization efforts via IEC 61000-4-21 and CIRED/CIGRE joint working groups.

• Model Predictive Control
• Power Electronics
• Renewable Energy Integration
• +5 more

Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control

John D CresslerView profile

Professor

• Silicon-Germanium Microelectronics
• RF/Microwave Circuits
• Semiconductor Devices
• +3 more

John D. Cressler is a Regents Professor and Schlumberger Chair in Electronics at the Georgia Institute of Technology's School of Electrical and Computer Engineering. He earned his B.S. in Physics from Georgia Tech (1984) and Ph.D. in Applied Physics from Columbia University (1990). After pioneering SiGe research at IBM (1984-1992), he joined academia at Auburn University before moving to Georgia Tech in 2002. His research specializes in silicon-germanium heterojunction technology, with focuses on: RF/microwave/mm-wave circuits Radiation effects in electronics Cryogenic semiconductor behavior Device reliability physics Compact modeling for SiGe devices His 700+ publications demonstrate consistent innovation in SiGe HBT design, radiation-hardened circuits, and millimeter-wave systems. Recent work emphasizes radiation tolerance for space applications, high-frequency circuit optimization, and novel fabrication techniques. Major Awards: IEEE Fellow (2001) IEEE Leon K. Kirchmayer Graduate Teaching Award (2011) ONR Young Investigator Award (1994) IEEE Third Millennium Medal (2000) He leads Georgia Tech's SiGe research group with extensive industry collaborations and teaches courses including ECE 3040 (Microelectronic Circuits), ECE 6444 (SiGe Devices), and interdisciplinary courses on science/religion dialogue.

• Electrical Engineering
• Mechanical Engineering
• Power Systems
• +4 more

R. Ross is a Professor in the Department of Mechanical Engineering at HAN University of Applied Sciences, with active research contributions in power systems, sensor technology, and the energy transition. His work spans applied superconductivity, system reliability, and electromagnetic diagnostics. External positions: Strategist at TenneT TSO B.V. (since 2013) and Director at Stichting Instituut voor Wetenschap en Ontwikkeling (since 1994). Research interests focus on high-temperature superconductors, partial discharge detection, and uninterrupted functionality of electrical systems. Key subfields include cryogenic converters, magnetoresistive sensors, and social impacts of energy transitions. Recent publications highlight advancements in GMR sensor design, HTS degaussing applications, and reliability methodologies for K-out-of-N systems. Trends emphasize interdisciplinary approaches to power infrastructure diagnostics and sustainable energy integration. Scientific award: 2004 Annual Award SenterNovem Energy & Environment.

• Numerical analysis
• Scientific computing
• Partial differential equations
• +3 more

Kirill Serkh is an Assistant Professor in the Department of Mathematics at the University of Toronto, with a cross-appointment to the Department of Computer Science. His research focuses on advanced numerical methods for solving complex mathematical problems. Key Research Areas: Numerical analysis, Scientific computing, Partial differential equations, Numerical linear algebra, Quadrature and approximation theory, Special functions His recent work explores high-order numerical schemes for PDEs on non-smooth domains, adaptive methods for oscillatory integrals, and efficient evaluation of Newtonian potentials. He has contributed to the development of hybrid boundary integral methods and spectral techniques for challenging computational problems. While no specific scientific awards are mentioned in the provided text, his publications demonstrate expertise in computational mathematics and interdisciplinary applications in fluid dynamics, wave propagation, and machine learning. His methodological innovations span both theoretical and applied domains.

Ben K. GrunwaldView profile

Professor

• criminal law
• criminal procedure
• constitutional law
• +4 more

Ben K. Grunwald serves as Professor of Law at Duke University School of Law, where he has been a faculty member since 2017 after completing a Bigelow Fellowship at the University of Chicago Law School. His scholarly work bridges legal theory and empirical analysis to address critical issues in criminal justice systems. JD, PhD in Criminology, AM in Statistics, and BA from the University of Pennsylvania Clerked for the Honorable Thomas Ambro on the U.S. Court of Appeals for the Third Circuit Bigelow Fellow at the University of Chicago Law School (2016-2017) Professor Grunwald's research program centers on evidence-based criminal justice reform, with particular emphasis on prosecutorial power dynamics, sentencing fairness, juvenile justice boundaries, and police accountability mechanisms. His methodological approach integrates advanced statistical techniques with legal scholarship to produce actionable insights for policymakers. Current projects examine racial bias in criminal records, optimal decarceration strategies, and the labor market consequences of police discipline. His recent publications demonstrate a consistent focus on translating empirical findings into practical legal reforms, particularly in law enforcement practices and juvenile justice systems. Through interdisciplinary collaborations with criminologists and statisticians, his work challenges conventional wisdom using rigorous data analysis while maintaining strong connections to constitutional principles and procedural justice. Professor Grunwald teaches foundational courses including Criminal Law and Criminal Procedure: Investigation, along with specialized seminars in Criminology and Criminal Procedure that emphasize empirical methodologies. His curriculum development reflects his commitment to training future lawyers in evidence-based legal practice and policy analysis.

• Power Systems
• Microgrids
• Inverter Control
• +3 more

Xiaonan Lu is an Associate Professor of Electrical Engineering Technology at Purdue University's School of Engineering Technology, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. His research focuses on critical challenges in modern power systems dominated by inverter-based resources, particularly stability and control in microgrids and renewable-integrated grids. His research interests span power systems engineering with emphasis on small-signal stability analysis, dynamic modeling of hybrid AC/DC microgrids, and advanced control strategies for grid-forming and grid-following inverters. He investigates AI-assisted modeling techniques, resilience enhancement through hydrogen integration, and data-driven optimization of microgrid operations to address challenges in low-inertia power systems and distributed energy resource coordination. Analysis of his recent publications (2024-2025) reveals dominant trends toward AI-aided stability assessment, seamless control transitions between inverter modes, and quantifiable trade-offs in voltage regulation and power sharing. His work consistently addresses practical implementation challenges including communication delays, cyber resilience, and standardized testing methodologies for inverter-dominated systems.

Anu PuusaView profile

Professor

• Co-operatives
• Organizational Identity
• Organizational Change
• +7 more

Anu Puusa is a Professor in Management at the Business School, University of Eastern Finland , with a focus on cooperatives, organizational identity, change, and work-community skills. Her research bridges theory and practice, emphasizing democratic governance, the dual nature of cooperatives, and qualitative methodologies. She serves on boards such as Cooperatives Europe and Pellervo Coop Center , reflecting her commitment to cooperative principles. Research Interests : Co-operatives, Organizational Identity, Change Management, Work-Community Skills, Trust Dynamics, Knowledge Sharing, Innovation Processes Education : Doctor of Philosophy (KTT), with expertise in interpretative paradigm research Recent Publications highlight trends in cooperative governance, resilience in business contexts, and the interplay of trust and member commitment. Her work spans journal articles, book chapters, and conference proceedings in Journal of Co-operative Organization and Management , Nordic Journal of Business , and Deusto, Estudios Cooperativos . Scientific Awards : Recognized as an awarded teacher Collaborations include partnerships with scholars like Juha Kinnunen, Sami Karhu, and Pasi Tuominen, as well as contributions to projects like the WoCuE Final Report and Elgar Encyclopedia of Innovation Management .