جست‌وجوی استاد و پژوهشگر

Mohit Singhalمشاهده پروفایل

استاد آموزشی

• Cybersecurity
• Privacy
• Social Media Analysis
• +۳ مورد دیگر

Mohit Singhal is an Assistant Teaching Professor at Northeastern University in Boston specializing in Cybersecurity and Privacy within the Teaching Faculty. His work bridges computational systems and social dynamics in digital environments. His primary research interests include: Cybersecurity Privacy Social Media Analysis Content Moderation Fairness in AI Malware Analysis He investigates algorithmic fairness in business ranking systems, censorship circumvention technologies, causal effects of content moderation policies, and cybersecurity misinformation propagation across platforms like Yelp, Parler, and Twitter. Publication trends from 2019-2025 reveal an evolution from malware analysis toward social-media-centric research, with increasing focus on fairness evaluation frameworks, toxicity measurement in online conversations, and adversarial robustness of privacy tools. Recent work integrates causal inference methods with computational social science approaches. No scientific awards were mentioned in available sources. As a Teaching Professor, Singhal focuses on pedagogy and curriculum development in cybersecurity education. While specific grant details and student mentorship information are not publicly documented in the provided materials, his role involves training students in emerging challenges at the intersection of technology and society.

Silvia Bonomiمشاهده پروفایل

دانشیار

• Cybersecurity
• Distributed Systems
• Blockchain
• +۸ مورد دیگر

Dr. Silvia Bonomi serves as an Associate Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where she has held academic positions since 2006. Her career progression includes Research Fellow (2010-2011), Tenure Track Assistant Professor (2016-2019), and current Associate Professor appointment since 2019. She maintains her office in Room B114 and is actively engaged in research and teaching within the university's engineering faculty. Her educational background includes: PhD in Computer Engineering, Sapienza University of Rome and Institut de Formation Supérieure en Informatique et Communication (IFSIC/IRISA), Rennes, France (completed under advisors Prof. Roberto Baldoni and Prof. Michel Raynal) Dr. Bonomi's research critically examines dynamic distributed systems where entities autonomously join and leave networks, with applications spanning VANETs, airborne networks, social networks, and distributed cloud services. She pioneers work in Byzantine fault tolerance for mobile environments, blockchain security with emphasis on smart contract vulnerability analysis, and resilient cybersecurity frameworks integrating human factors. Her investigations into publish-subscribe systems focus on quality-of-service enhancements, while her peer-to-peer systems research addresses fundamental connectivity challenges in large-scale decentralized environments. This interdisciplinary approach bridges theoretical distributed computing with practical cybersecurity applications. Analysis of her 15 most recent publications (2021-2024) reveals dominant trends in blockchain security (particularly smart contract vulnerability taxonomies and analysis tool efficacy) and fault-tolerant distributed systems (reliable communication under Byzantine faults in dynamic networks). Her work increasingly integrates human factors into cybersecurity models and develops visual analytics for business-centric risk assessment. Publications span top venues including IEEE CSR, OPODIS, SAFECOMP, and journals like Computers & Security, demonstrating consistent contributions to both theoretical foundations and practical cybersecurity implementations.

Emma Colamarinoمشاهده پروفایل

پژوهشگر

• Electroencephalographic (EEG) Signal Processing
• Electromyographic (EMG) Signal Processing
• Brain-Computer Interfaces (BCI)
• +۴ مورد دیگر

Emma Colamarino is a Researcher at the Department of Computer, Control and Management Engineering "Antonio Ruberti" of Sapienza University of Rome. She holds an M.Sc. in Biomedical Engineering (2014, cum laude) and a Ph.D. in Bioengineering (2019). Since 2015, she has been a research collaborator at the Neuroelectrical Imaging and Brain-Computer Interfaces Lab of IRCCS Fondazione Santa Lucia in Rome and served as a Visiting Ph.D. student at Imperial College London (2018). From 2019 to March 2023, she was a Post-Doctoral Fellow at Sapienza University. Her research focuses on Advanced electroencephalographic (EEG) and electromyographic (EMG) signal processing Brain-Computer Interface (BCI) protocols for cerebral function recovery Machine learning in neurorehabilitation Hybrid BCIs integrating cortico-muscular networks Recent publications address stroke rehabilitation, BCI design, spectral graph theory, and EMG-EEG integration. Her work spans biomedical data analysis, neuroengineering, and rehabilitation technology validation. Scientific awards include multiple grants from Sapienza University and the Italian Ministry of Health, a Student Award at the 7th International BCI Meeting (2018), and recognition as a Subject Expert (2019). She has supervised/co-supervised 18 MD theses across Biomedical, Management, and Robotics Engineering disciplines.

Melanie Baljkoمشاهده پروفایل

دانشیار

• Human-centered computing
• Participatory design
• Assistive technology
• +۵ مورد دیگر

Melanie Baljko is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. She directs the Practices in Enabling Technologies (PiET) Lab and participates in graduate programs in Science & Technology Studies, Critical Disability Studies, Digital Media, and Interdisciplinary Studies. Research Focus: Human-centered computing, participatory design, maker methods, assistive technology, augmentative communication, and computer-supported speech therapy Teaching: Graduate courses in critical technical practice and human-computer interaction; undergraduate courses in user interfaces, human-computer interaction, and computer science projects Publications highlight her work in accessible technology for Parkinson's patients, DIY assistive technologies in Kenya, and participatory design frameworks. She collaborates with the University Health Network – Toronto Rehabilitation Institute as an Affiliate Scientist. Key Themes: Accessibility, equity in technical design, and empowering marginalized communities through technology. Recent work examines transit app accessibility, disability inclusion in clinical education, and mixed reality teaching tools.

Aysegul Liman-Kabanمشاهده پروفایل

استادیار

• Immersive Learning (AR/XR/Gamification)
• STEM Education
• Teacher Digital Competencies
• +۷ مورد دیگر

Aysegul Liman-Kaban serves as an Assistant Professor in ICT/Digital Learning STEM Education at Maynooth University. Her work focuses on integrating immersive technologies like augmented reality, gamification, and AI into educational practices. She actively supervises PhD students and leads international research projects such as MIXAP-EU and From AI Anxiety to Empowerment. Education: Not explicitly stated in provided text Her research interests span: Immersive learning technologies (AR/XR, digital escape games) AI in education and generative AI applications Teacher digital competencies and professional development Flipped learning and multimedia pedagogy Ethical challenges in AI research Blended learning practices Recent publications demonstrate a focus on gamification, mixed reality, and AI applications in education, with methodological expertise in structural equation modeling, mixed methods research, and task-based learning analysis. She contributes to journals like Smart Learning Environments and Higher Education Quarterly . Key activities include: Organizing international conferences on STEAM education Leading EU-funded research on immersive learning tools Developing open-source educational technologies Pioneering generative AI integration frameworks

Tom Van Gervenمشاهده پروفایل

استاد

• Process Intensification
• Chemical Engineering
• Sustainable Metallurgy
• +۳ مورد دیگر

Prof. Tom Van Gerven is a chemical engineering specialist at KU Leuven's Process Engineering for Sustainable Systems (ProcESS) group. His research focuses on process intensification using alternative energy forms (ultrasound, microwaves, light) for sustainable metallurgy, mineral carbonation, and solvent extraction applications. He leads innovations in low-grade ore processing and carbon capture technologies. Key Research Areas: Process intensification, green metallurgy, CO₂ utilization, and advanced crystallization techniques Recent Work: 2025 publications highlight reactor optimization, mineral carbonation of industrial residues, and acoustic/microwave-assisted separations Technical Expertise: CFD modeling, sonochemical reactors, ionic liquid extraction, and environmental impact analysis

• Robotics
• Artificial Intelligence
• Tactile Sensing
• +۶ مورد دیگر

Satoshi Funabashi is an Assistant Professor in the Department of Intermedia Art and Science at Waseda University's School of Fundamental Science and Engineering, Japan. He is affiliated with the Graduate Program for Embodiment Informatics under Waseda University's Program for Leading Graduate Schools and contributes to multiple graduate schools including the Graduate School of Creative Science and Engineering. Education: Doctor of Engineering (Waseda University, 2017-2021) Research Focus: Robotics, tactile sensing, deep learning, and embodiment informatics Academic Appointments: Assistant Professor (non-tenure-track) His research centers on symbiotic robotics and tactile-driven manipulation, with recent publications exploring graph convolutional networks, vision-touch fusion, and morphology-specific deep learning for robotic hands. He has secured multiple competitive research grants including JSPS KAKENHI and JST ACT-I programs. Scientific Awards: Grant-in-Aid for Scientific Research (B) (KAKENHI), JSPS (2024-2027) Grant-in-Aid for Early-Career Scientists, JSPS (2022-2024) JST ACT-I Research Fellow (2020-2022, 2018-2020) JSPS Research Fellowship DC1 (2017-2020) He collaborates with the Intelligent Dynamics and Representation Lab (Prof. Tetsuya Ogata) and the Intelligent Machine Lab (Prof. Shigeki Sugano) at Waseda University. He has interned at MIT's CSAIL (2018-2019) and conducted research at UC Davis (2015). His work has been cited over 500 times with an h-index of 14 according to Google Scholar.

• Building Permit Processes
• Digital Building Permits
• Building Information Modeling
• +۴ مورد دیگر

Judith Fauth is a researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, where she pioneers digital transformation in building permit processes through Building Information Modeling (BIM) and digital twin technologies. Her work bridges civil engineering, computer science, and public policy to streamline regulatory compliance across international contexts. Her research expertise spans Building Permit Processes , Digital Building Permits , Ontology Engineering , and Process Modeling , with emphasis on developing standardized frameworks for global permit system benchmarking. She investigates how semantic technologies and digital twins can automate regulatory compliance while accommodating regional variations in construction law and administrative practices. Analysis of her 2023-2025 publications reveals three dominant trends: (1) integration of digital building permits with digital building logbooks for lifecycle data management, (2) development of ontologies like OBPA for automated permit reviews, and (3) creation of taxonomies and process models (e.g., PACE-BP framework) enabling cross-national comparisons of permit systems. This work increasingly incorporates sustainability metrics and stakeholder-specific KPIs. Within TUM's research infrastructure, Dr. Fauth contributes to the BIM Lab and Digital Twinning research groups, collaborating on projects involving Gaia-X-based data frameworks and semantic modeling of the built environment. She teaches practical software development skills through the SoftwareLab course, preparing engineering students for digital construction workflows.

Giulio Dagninoمشاهده پروفایل

دانشیار

• Medical Robotics
• Endovascular Robotics
• Computer Vision
• +۵ مورد دیگر

Giulio Dagnino is Associate Professor of Robotics and Mechatronics at the University of Twente and concurrently holds an appointment at the Digital Society Institute. His research integrates medical robotics, real-time perception and haptics to create MR-compatible platforms for endovascular surgery, earning an h-index of 17 and 971+ citations. Education & Career: PhD (details not specified in source) leading to faculty appointment at University of Twente. Promoted to Associate Professor with cross-appointments in Robotics & Mechatronics and Digital Society Institute. Research Interests: Prof. Dagnino’s core interest is medical robotic systems that can operate safely inside an MRI scanner. His work spans haptic guidance, real-time computer vision, soft robotic actuation, synthetic data generation and surgical simulation. By combining ferrofluid actuation, electromagnetic tracking and deep-learning-based scene understanding, he aims to reduce ionizing radiation exposure, enhance navigation accuracy and shorten procedure times for minimally invasive endovascular interventions. Publications Trend: Across 44 outputs (2010-2025) the portfolio reveals a clear evolution from early vision-based microsurgery and fracture-robot systems (2010-2016) toward holistic endovascular platforms integrating MR guidance, haptics and autonomy. Recent 2024-25 papers cluster around (i) synthetic data & scene understanding for surgical AI, (ii) MR-safe robot design and tracking, and (iii) translational studies bringing CathBot and related platforms closer to clinical use. Scientific Awards: Best Design Award – Hamlyn Symposium 2019 (with team) Best Innovation Award – ICRA 2018 Best Paper Award – CURAC 2019 IEEE ICRA Best Paper Award in Medical Robotics – 2016 Grants & Projects: Although explicit grant numbers are not listed, the continuous outputs, patents, multi-institutional collaborations (UK, Germany, Estonia, Canada) and press releases imply sustained funding from EU, Dutch and UK research councils as well as industrial partnerships. Labs & Teams: He leads activities within the Robotics and Mechatronics group at University of Twente, collaborates closely with the Digital Society Institute, and maintains international partnerships visible in co-authored papers with Imperial College London, University of Leeds, and several European hospitals.

Peter N. Salibمشاهده پروفایل

استادیار

• Artificial Intelligence Law
• Constitutional Law
• AI Governance
• +۳ مورد دیگر

Peter N. Salib is an Assistant Professor at the University of Houston Law Center and Associate Faculty in Public Affairs. He serves as Law and Policy Advisor to the Center for AI Safety in San Francisco and co-Director of the Center for Law & AI Risk. University of Houston Law Center Public Affairs Faculty Center for AI Safety Center for Law & AI Risk His research combines constitutional law and economic analysis to address AI governance challenges. Current work focuses on legal frameworks for mitigating catastrophic AI risks through regulatory innovation. Publications appear in top law reviews including University of Chicago Law Review, Virginia Law Review, and Texas Law Review. Recent scholarship trends indicate expertise in: Algorithmic discrimination in health equity Constitutional implications of AI rights Jury nullification theories in abortion cases AI arms race international law Computational law applications As former Climenko Fellow at Harvard Law School and attorney at Sidley Austin LLP, he brings both academic and practical legal experience. Judicial clerkship with Hon. Frank H. Easterbrook informs his constitutional analysis approach.

Surjo R. Soekadarمشاهده پروفایل

استاد

• Clinical Neurotechnology
• Brain-Computer Interfaces (BCI)
• Neuromodulation
• +۸ مورد دیگر

Surjo R. Soekadar is the Einstein Professor of Clinical Neurotechnology at Charité – University Medicine Berlin. He leads the Clinical Neurotechnology Laboratory , which focuses on developing noninvasive neurotechnologies for treating neurological and psychiatric disorders through closed-loop brain stimulation and advanced brain-machine interfaces (BCI/BMI). His work integrates real-time EEG/MEG monitoring with electromagnetic stimulation to modulate pathological brain oscillations and enhance neuroplasticity in conditions like stroke, spinal cord injury, and psychiatric disorders. Education : Studied medicine in Mainz, Heidelberg, and Baltimore Clinical Training : Residency in Psychiatry and Psychotherapy at University of Tübingen Academic Journey : 2008-2011 Research Fellow at NINDS (USA); 2017 Venia Legendi at University of Tübingen; 2018 First Professor of Clinical Neurotechnology in Germany His research interests span: • Closed-loop neurostimulation combining real-time brain state monitoring with targeted intervention • Next-generation BCI using optically pumped magnetometers (OPM) for mobile MEG recordings • Neurorehabilitation through exoskeleton control and sensory feedback • Neurophysiological modeling of entropy measures and phase flows Recent publications highlight: • Adaptive deep brain stimulation protocols • Real-time phase-sensitive tACS applications • OPM-based BCI innovations • Stroke recovery mechanisms through corticospinal tract analysis Scientific recognition includes: International BCI Research Award BIOMAG Award NARSAD Young Investigator Award Funded by the European Research Council (ERC) , his lab trains doctoral students like David Haslacher (EEG/MEG integration), Khaled Nasr (multicoil TMS optimization), and Annalisa Colucci (entropy-driven BCI development). The team also explores quantum AI applications in clinical decision-making and bidirectional BCI systems using OPM and tES.

• Privacy
• Security
• Requirements Engineering
• +۵ مورد دیگر

Travis D. Breaux is an Associate Professor in the School of Computer Science at Carnegie Mellon University, where he directs the Requirements Engineering Lab . His research bridges software engineering, privacy, security, and legal compliance, with a focus on developing formal methods to ensure software systems adhere to regulatory frameworks. He holds appointments in the Software and Societal Systems Department and directs the Masters of Software Engineering (MSE) Professional Programs. Breaux's research investigates privacy policy compliance , empirical extraction of legal requirements , and risk quantification in system design. His work employs AI, formal specification, and empirical methods to resolve ambiguities in policies and quantify privacy/security risks. Key themes include regulatory alignment, automated reasoning for compliance, and human factors in risk perception. Recent publications emphasize AI-driven requirements engineering , including LLM applications for goal modeling, legal requirement extraction, and automated question generation. His work consistently addresses the intersection of formal methods, policy analysis, and scalable compliance verification. Awards and Honors: NSF CAREER Award (2015) IEEE RE Distinguished Paper Award (2018) Distinguished Reviewer Awards (ICSE 2018, RE 2023) IEEE RE Most Influential Paper Award (Honorable Mention, 2016) Breaux advises PhD and Master's students in privacy engineering and requirements formalization. He has led NSF-funded initiatives including the Workshop on Designing Accountable Software Systems (DASS) . Current courses include Prompt Engineering and Artificial Intelligence for Software Engineering , focusing on LLM applications and AI ethics.

• Legal Informatics
• Artificial Intelligence and Law
• Data Protection and Privacy
• +۵ مورد دیگر

Erich Schweighofer serves as Associate Professor at the University of Vienna within the Institute for European, International and Comparative Law, specifically affiliated with the Department of International Law and International Relations. His research activities are centered at the Juridicum building (Schottenbastei 10-16, 1010 Vienna), where he maintains an active office presence with scheduled consultation hours. His scholarly focus spans Legal Informatics , Artificial Intelligence and Law , Data Protection , and Legal Knowledge Representation , with particular emphasis on explainable AI systems for legal contexts and formal methodologies for translating legal norms into computational frameworks. This interdisciplinary work bridges jurisprudence and computer science through projects examining biometric regulation, autonomous vehicle governance, and natural language processing applications in legal domains. Analysis of his 2021-2024 publications reveals consistent thematic progression toward operationalizing legal principles in AI systems, with increasing focus on transparency mechanisms, temporal logic for dynamic regulations, and cross-jurisdictional compliance challenges. His work predominantly appears in the International Legal Informatics Symposium (IRIS) proceedings and JURIX conferences, reflecting deep engagement with the legal informatics community. Professor Schweighofer leads a dedicated research team including project assistants Mag. Jessica Fleisch, Mag. Jonas Pfister, Felix Schmautzer, and Mag. Jakob Zanol, while actively participating in the University of Vienna's Working Group on Legal Informatics (Arbeitsgruppe Rechtsinformatik). His collaborative approach extends to organizing the biennial IRIS symposium, which has established itself as a cornerstone event for European legal informatics scholarship since 1998.

• Engineering Education
• Social Justice in STEM
• Educational Technology
• +۳ مورد دیگر

Brooke Coley is an Assistant Professor in Engineering at The Polytechnic School of Arizona State University . She is also affiliated with the Engineering Education Systems and Design department and serves as an Affiliate Faculty Member in the Mary Lou Fulton College for Teaching and Learning Innovation . Ph.D., Bioengineering, University of Pittsburgh B.S., Chemical Engineering, University of Maryland Research Interests include Engineering Education , Social Justice in STEM , Educational Technology , and Biomechanics . Her work focuses on virtual reality for empathy development, hidden populations in engineering, and inclusive pedagogies . She co-leads NSF-funded studies on diversity in makerspaces and identity formation for underrepresented students. Recent Publications highlight themes of anti-Blackness in STEM , equity in engineering education , and inclusive pedagogical tools . Her 2025 articles explore collaborative innovation , advisor support systems , and intersectional leadership in STEM. Scientific Awards include the Apprentice Faculty Grant from ASEE and the AAAS Science and Technology Policy Fellowship . She advocates for inclusion in research, teaching, and service and mentors the National Society of Black Engineers at ASU. Lab and Teams include NSF-funded studies on makerspaces and community college pathways . She co-facilitates international workshops on inclusive maker pedagogies and collaborates with global institutions to redefine engineering cultures .

Fabian Wöbbekingمشاهده پروفایل

استادیار

• Data Science
• Financial Intermediation
• Systemic Risk Analysis
• +۳ مورد دیگر

Fabian Wöbbeking is an Assistant Professor at the Martin Luther University Halle-Wittenberg and leads the Data Science in Financial Economics research group at the Leibniz Institute for Economic Research Halle (IWH) . His roles include analyzing unstructured datasets using Data Science methods to generate economic indicators, with a focus on financial intermediation, systemic risk, and machine learning applications in finance. He also contributes to macroprudential policy research and correlation stress testing frameworks. Education : Studied at the Frankfurt School of Finance & Management; earned a PhD at Goethe University Frankfurt. Wöbbeking’s research bridges Data Science and Financial Economics, emphasizing machine learning for financial analytics, risk modeling, and language-based information asymmetry. His work includes measuring non-answers in earnings calls, correlation stress testing, and cryptocurrency volatility dynamics. His recent publications highlight interdisciplinary approaches to financial markets. Key trends include leveraging NLP for corporate disclosures, Bayesian methods for risk factor modeling, and blockchain analytics for volatility indices. These works demonstrate cross-domain applicability of Data Science techniques. At IWH, he collaborates with teams like the Financial Markets department, contributing to European Real Estate Index (EREI) development and macroprudential policy analysis. His projects integrate economic theory with computational methods to address systemic risks and market inefficiencies.