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Rishita NandagiriView profile

Lecturer

• Reproductive Justice
• Gender and Health
• Abortion
• +11 more

Dr. Rishita Nandagiri is a feminist researcher and academic currently serving as a Lecturer (Assistant Professor) in the Department of Global Health & Social Medicine at King's College London. She previously held research and teaching positions at the London School of Economics (LSE), including an ESRC Postdoctoral Fellowship and an LSE Fellow in Health and International Development. Her work is deeply rooted in reproductive justice, gender, and global health, with a focus on the Global South. PhD in Social Policy, London School of Economics (2019) ESRC Postdoctoral Fellow, LSE Department of Methodology (2020-2021) LSE Fellow in Health and International Development (2019-2020) Research Assistant, LSE Department of Media and Communications (2018-2019) Dr. Nandagiri’s research centers on reproductive (in)justices, interrogating how power and politics shape abortion access, self-managed abortion, care trajectories, and reproductive governance. Her work is interdisciplinary, drawing on feminist theory, qualitative and participatory methods, policy analysis, and co-production with communities and organizations. She has extended her research to examine the impact of the COVID-19 pandemic on abortion and the role of lay health providers in care delivery. Her methodological interests include multi-method designs that integrate interviews, archival research, and community engagement. The 15 most recent articles reflect a strong trajectory in reproductive justice, with increasing engagement with feminist economics, carceral systems, and global policy. Themes include structural violence, legal pluralism, care ethics, and transnational advocacy. Her publications span high-impact journals in public health, social policy, gender studies, and media, indicating a broad interdisciplinary reach. Scientific awards and recognitions include: ESRC Postdoctoral Fellowship (2020-2021) LSE Class Teacher Award (2020) LSE Research Investment and Infrastructure Funds (2020) Best PhD Poster Prize, British Society for Population Studies (2018) LSE PhD Studentship (2015-2019) Dr. Nandagiri has advised on and contributed to numerous research grants, particularly those related to reproductive health, digital privacy, and pandemic response. She has collaborated with major institutions such as UNFPA, the Women’s Global Network for Reproductive Rights, and FRIDA. She co-founded the Abortion Book Club and serves on editorial and advisory boards, including BMJ Sexual & Reproductive Health and the International Union for the Scientific Study of Population’s Abortion Research panel. She also co-convenes the Development Studies Association’s Women and Development Study Group, demonstrating strong leadership in academic and advocacy networks. She is actively involved in public engagement, contributing to LSE blogs, media outlets like Women's Health Magazine UK, and platforms such as the Oxford Human Rights Hub and Harvard’s Bill of Health. Her lab and team affiliations are not explicitly named, but her collaborative projects suggest strong ties to interdisciplinary research groups focused on global health, reproductive justice, and digital rights.

• Artificial Intelligence
• Battery Technology
• Digitalization
• +7 more

Prof. Dr.-Ing. Weihan Li is a Junior Professor at RWTH Aachen University, specializing in Artificial Intelligence and Digitalization for Batteries. He is affiliated with the Institute for Power Electronics and Electrical Drives (ISEA) and the Center for Ageing, Reliability, and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL). His research bridges informatics, electrochemistry, and power electronics to advance battery technology through AI. B.Sc. in Automotive Engineering (Tongji University, 2014) M.Sc. in Automotive Engineering and Transport (RWTH Aachen, 2017) Ph.D. in Electrical Engineering and Information Technology (RWTH Aachen, 2021, summa cum laude) Prof. Li’s research focuses on AI-driven battery modeling, diagnostics, and optimization. Key areas include digital twin technology, electrochemical parameterization, and lifetime prediction using field data. He explores multi-scale kinetic processes, thermal management, and mechanical-electrochemical coupling effects in battery systems. The articles listed reflect his leadership in AI-powered battery analytics, spanning degradation prediction, fast charging, failure mode analysis, and grid-scale storage. His work emphasizes both theoretical innovation (e.g., diffusion models, physics-informed neural networks) and practical applications (e.g., second-life battery screening, automotive integration). Clarivate Highly Cited Researcher 2024 BMBF BattFutur Research Group (€2M+) German Thesis Award (Körber Foundation) Reichart Prize vgbe Innovation Prize Battery Young Research Award Umbrella Award RWTH Innovation Award Prof. Li leads an interdisciplinary research group with over €6 million in grants from BMBF, BMWK, BMDV, European Commission, and industry partners. His teams focus on battery informatics, AI-driven diagnostics, and digitalization of testing processes at CARL and ISEA.

Lubomir P. LitovView profile

Associate Professor

• Corporate governance
• Mergers & acquisitions
• Venture capital & private equity
• +9 more

Lubomir P. Litov is the David M. Moffett Professor of Corporate Finance and an associate professor in the Finance Department at the Michael F. Price College of Business, University of Oklahoma. He also holds an appointment as Affiliate Associate Professor of Law at the OU College of Law. Dr. Litov received his Ph.D. in Economics from Leonard Stern School of Business at New York University. Prior to joining OU, he held faculty positions at the University of Arizona and Washington University in St. Louis. He is also a research associate at the Financial Institutions Center at the Wharton School of the University of Pennsylvania. Dr. Litov's research focuses on several key areas of finance and corporate governance: Corporate governance mechanisms and board structures Mergers and acquisitions processes and outcomes Venture capital and private equity investment strategies Entrepreneurial finance and growth equity Capital structure decisions and risk management International corporate finance and policy impacts His recent publications examine critical issues such as dual-class stock IPOs, policy uncertainty effects on venture capital, poison pill defenses, and the relationship between venture capitalist directors and managerial incentives. Dr. Litov's work consistently bridges theoretical frameworks with practical applications in corporate finance and governance, with articles published in top journals including the Journal of Finance, Journal of Financial Economics, and Journal of Accounting and Economics. Dr. Litov has received numerous teaching and research honors including: Harold E. Hackler Outstanding MBA Professor Award (2022) Merrick Foundation Teaching Award (2018) Hurley Roberson Teaching Excellence Award (2017) William Sharpe award for best paper in JFQA (2010) As an educator, Dr. Litov teaches courses on Mergers, Acquisitions & Corporate Restructuring across multiple programs including the MBA, Executive MBA in Aerospace & Defense, and MSc in Finance. He also co-organizes the Virtual Household Finance Seminar and the NYU-Georgia Tech-OU Economics Virtual Seminar on Artificial Intelligence and Decentralized Finance, bringing together leading researchers to discuss cutting-edge developments in finance.

Riccardo RaheliView profile

Professor

• Telecommunications
• Digital Signal Processing
• Wireless Communications
• +5 more

Riccardo Raheli is a Full Professor at the University of Parma , Department of Engineering and Architecture, with a career spanning over three decades in Information and Communication Technologies (ICT). He has served as Chair of the Councils for Telecommunications and Communication Engineering programs, and as representative of the University of Parma in CNIT and its Members' Assembly. Education: Laurea in Electronic Engineering (University of Pisa, 1983), M.Sc. in Electrical and Computer Engineering (University of Massachusetts, 1986), Postgraduate Diploma (Scuola Superiore Sant'Anna, 1987) Key Roles: President of Degree Councils (2002-2018), CNIT Committee Member (2000-2005), Editorial Board member for IEEE Transactions, Springer and MDPI journals His research bridges telecommunications , digital signal processing , and healthcare applications , producing extensive international publications and industrial patents. He has co-authored monographs including Detection Algorithms for Wireless Communications (Wiley, 2004) and LDPC Coded Modulations (Springer, 2009). Recent article trends show interdisciplinary work in automotive stress monitoring (IoT/Matlab-based systems), video processing for healthcare (neonatal seizures, respiratory monitoring), and acoustic field control (microphone virtualization, personal sound zones). His work spans machine learning applications in automotive systems, stochastic acoustic modeling , and power-line communications . Scientific Leadership : Co-Chair for IEEE conferences (ICC 2010, GLOBECOM 2011, ISPLC 2020) Editorial roles in 7+ international journals Grants & Collaborations : Led industrial patents in communications systems Coordinated CNIT Technical Reports series (2025) He teaches Wireless Communications and Digital Signals Laboratory , emphasizing Matlab/Simulink proficiency. His laboratory sessions focus on practical implementation of signal processing algorithms, requiring full software installation on personal devices.

Robert ForsytheView profile

Professor

• Experimental Economics
• Prediction Markets
• Game Theory
• +9 more

Robert Forsythe is a Professor of Finance at Wayne State University's Mike Ilitch School of Business, where he served as Dean from 2014 to 2022. Prior to Wayne State, he was Dean at the University of South Florida's College of Business (2006-2012) and a faculty member at the University of Iowa (1981-2022), where he co-founded the Iowa Electronics Market, a futures market for political and economic event contracts. Ph.D., Economics, Carnegie Mellon University M.S., Economics and Statistics, Carnegie Mellon University B.S., Quantitative Business Analysis, Pennsylvania State University His research focuses on Experimental Economics , particularly prediction markets, game theory, and market mechanisms. He has analyzed how markets aggregate information, tested theories of public goods provision, and explored strategic behavior in auctions, bargaining, and elections. His work on the Iowa Electronic Market demonstrated the predictive power of market prices for political outcomes. His recent articles emphasize Market Efficiency , Information Aggregation , and Strategic Decision-Making . He has investigated the role of polls in multi-candidate elections, cooperation in games without reputation, and judgment bias in election stock markets. Notable contributions include the establishment of the Bulls Business Community at USF and the restructuring of M.B.A. programs to accommodate working professionals. Despite no scientific awards explicitly mentioned, his work remains influential in Finance and Political Forecasting . Robert Forsythe co-founded the Iowa Electronic Market and has been instrumental in integrating experimental methods into business education. His teaching includes BUSINESS FINANCE (FIN3290) at Wayne State University.

• Networking
• Communications
• Machine Learning
• +7 more

Christopher G. Brinton is the Elmore Associate Professor of Electrical and Computer Engineering at Purdue University, where he leads the ION research lab. He is affiliated with the Department of Electrical and Computer Engineering in the College of Engineering at Purdue University's West Lafayette campus. Dr. Brinton received his PhD from Princeton University, where he was previously the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering. His research focuses on the intersection of networking, communications, and machine learning, with particular emphasis on Fog computing systems, the Internet of Things (IoT), NextG Wireless, and social learning networks. His research integrates foundational techniques including convex and non-convex optimization, machine learning, and signal processing to address challenges in networked intelligent systems. The ION lab under his leadership develops both theoretical frameworks and practical implementations for next-generation networking solutions, with strong industry collaborations including Qualcomm, Nokia, Intel, Cisco, Dell, and Ericsson. Recent publications reveal a strong trend toward federated learning, decentralized algorithms, and edge intelligence, with significant contributions to model partitioning, communication-efficient learning, and robust network architectures. His work increasingly bridges traditional communication theory with modern machine learning techniques to solve emerging challenges in distributed networked systems. NSF CAREER Award ONR Young Investigator Program (YIP) Award DARPA Young Faculty Award (YFA) AFOSR Young Investigator Program (YIP) Award Intel Rising Star Faculty Award (RSA) Dr. Brinton teaches several courses including ECE 647: Performance Modeling of Computer Communication Networks, ECE 301: Signals and Systems, and ECE 547: Introduction to Computer Communication Networks. He has co-authored the book 'The Power of Networks: Six Principles That Connect Our Lives' and taught three Massive Open Online Courses (MOOCs) with over 400,000 cumulative students. While not currently actively recruiting students, he remains open to connecting with highly motivated individuals. Dr. Brinton leads the ION (Intelligent Optimization and Networking) research lab, which focuses on creating theoretical foundations and practical implementations for next-generation networked systems. The lab has recently published significant work on 6G taxonomy in collaboration with major industry partners and continues to push boundaries in distributed learning and network optimization.

• Participatory Design
• Indigenous Education
• Gender Justice
• +4 more

Nathaly Carolina Pinto Torres is a Doctoral Researcher at Aalto University's Department of Design, working on critical design interventions for marginalized communities. Since 2020, she has led the "Emergencia de Educación en la Amazonía Ecuatoriana" project, collaborating with indigenous students and Confeniae to develop pictographic communication systems challenging social exclusion. Her research spans: Participatory design with indigenous communities Gender justice in education during crises Epistemic justice in plurinational contexts Visual resistance strategies in Amazonian regions Postcolonial educational frameworks Design for socio-environmental transformation Publication trends show focus on: Visual communication systems for marginalized groups Crisis-driven educational design Decolonial methodologies Intersectional analysis of exclusion Epistemic justice in academia Collective resilience building Scientific recognition includes: Best Demo Award (2021) SENESCYT International Graduate Scholarship (2019) Netherlands Fellowship Programmes (NFP) (2010)

• Risk Analysis
• Resilience Engineering
• Optimization Under Uncertainty
• +7 more

Dr. Yi-Ping Fang is an Assistant Professor at the EDF Chair SSEC with a joint appointment at the Industrial Engineering Laboratory, CentraleSupélec, Université Paris-Saclay, France. His research focuses on computational methods for risk, vulnerability, and resilience analysis of critical infrastructures including smart grids, electrified transportation, and interdependent lifeline systems. Risk Analysis Resilience Engineering Optimization Under Uncertainty Game Theory Applications His work applies advanced techniques like distributionally robust optimization, POMDP modeling, and interdependency analysis to enhance infrastructure resilience against climate change, natural hazards, and intentional attacks. Publications demonstrate expertise in hybrid optimization algorithms, stochastic modeling, and network vulnerability assessment. Recent trends include: Smart grid resilience enhancement Uncertainty quantification in infrastructure systems Multi-stage decision modeling Game-theoretic approaches for interdependent networks Integration of deep learning for dynamic system prediction

• International Sports Governance
• European Union Policy
• Public-Private Partnerships
• +2 more

Dr. Arnout Geeraert is Assistant Professor at Utrecht University’s Utrecht School of Governance, specializing in the intersection of Law, Economics, and Governance . His research focuses on public-private interactions in global governance, particularly the European Union’s role as an international actor in sport-related policy domains. Active in Sport and Society research group Developed benchmarking tools: Sports Governance Observer , National Sports Governance Observer , and National Anti-Doping Governance Observer Geeraert’s work has been published in leading journals such as Journal of European Public Policy , Public Administration , and European Sport Management Quarterly . His book The EU in International Sports Governance (Palgrave, 2016) and co-edited Good Governance in Sport (Routledge, 2022) are key contributions to the field. He serves as president of the Integrity Commission of the Belgian Football Association and has held advisory roles for the UNESCO MINEPS VI Working Group , IPACS Task Force , Flemish Government Committee , and EU Expert Group . His expertise centers on enhancing compliance with good governance principles in sport federations, addressing corruption risks, and analyzing EU interventions in FIFA/UEFA. Recent publications explore topics like collaborative governance , Flemish nationalism through sport , and EU sectoral diplomacy , reflecting his multidisciplinary approach to sport policy and institutional analysis.

• Clinical Psychology
• Community Psychology
• Health Services Research
• +7 more

Joy S. Kaufman is a Professor in the Department of Psychiatry at Yale School of Medicine. She serves as Deputy Chair for Career Development, Director of the Yale Consultation Center, and Director of YaleEVAL. Her work focuses on large-scale evaluations of health service delivery systems in under-resourced communities, emphasizing community-based participatory research and stakeholder training. Education: PhD in Clinical and Community Psychology, DePaul University (1994) Postdoctoral Fellow, Yale University (1993) MA in Psychology, DePaul University BA in Psychology, Assumption College Dr. Kaufman specializes in health equity , trauma exposure in children , and program evaluation . Her research bridges public health , social justice , and behavioral health policy through rigorous methodologies. Recent publications highlight her work on opioid use disorder in obstetric care , perinatal substance use reporting , and system-level mental health evaluations . She employs latent class analysis and CBPR frameworks to address disparities. Scientific Awards: Fellow, American Psychological Association Fellow, Society for Community Research and Action Gold Medal, Substance Abuse and Mental Health Services Administration Exemplary Evaluation, American Evaluation Association As principal investigator, she has secured funding from the National Institute of Justice , PCORI , and Connecticut state agencies . Her leadership extends to training community members in evaluation methods and developing trauma-informed healthcare systems .

Scott McCabeView profile

Professor

• Social Tourism
• Consumer Behavior
• Responsible and Ethical Tourism
• +4 more

Scott McCabe is a Professor of Marketing at Birmingham Business School, University of Birmingham. He earned his PhD from the University of Derby in 2001, focusing on visitor motivations in the Peak District National Park, and holds an MA in Leisure and Tourism Studies from the University of North London (1993) and an HND in Leisure Studies from the University of Salford (1991). Current co-editor in Chief of the Annals of Tourism Research Editorial board member of Tourism Management Elected fellow of the International Academy for the Study of Tourism (2019+) His research spans social tourism , responsible tourism , tourist emotions , and socio-linguistic methodology , with significant work on wellbeing outcomes from supported holidays for disadvantaged families. He has contributed to Annals of Tourism Research , Journal of Travel Research , and other top-tier journals. Recent publications address topics like qualitative research sampling , tourism theory , dark tourism motivations , and smart destination engagement . His work combines tourism policy critique , consumer behavior analysis , and methodological innovation . Scientific awards include fellowships and leadership roles in international tourism research committees. He has served as VP for the International Sociological Association's Tourism Research Committee and co-chairs the Academy of Marketing's Tourism Marketing SIG.

Anming ZhangView profile

Professor

• Transport Economics
• Transport Policy
• Air Cargo Logistics
• +4 more

Anming Zhang serves as a Professor in the Operations and Logistics Division of UBC's Faculty of Commerce and Business Administration, holding the prestigious Vancouver International Airport Authority Professorship in Air Transportation. His academic foundation includes a B.Sc. from Shanghai Jiao-Tong University and M.Sc./Ph.D. degrees from the University of British Columbia. Education : B.Sc. (Shanghai Jiao-Tong University), M.Sc. & Ph.D. (University of British Columbia) His research focuses on Transport Economics and Policy , Air Cargo Logistics , and Industrial Organization , with particular expertise in air-rail competition dynamics, pandemic impacts on aviation, and infrastructure economics. Zhang employs advanced methodologies including spatial econometrics and complex network analysis to examine transportation systems. Analysis of his 2024-2025 publications reveals three dominant trends: (1) Resilience of global air networks against pandemics and geopolitical conflicts, (2) Economic implications of urban air mobility integration, and (3) Non-aeronautical revenue optimization in airport management. His work increasingly bridges transportation economics with environmental sustainability concerns. Zhang actively supervises graduate students in Transportation & Logistics MSc and PhD programs within Business Administration, teaching undergraduate courses including Logistics and Operations Management and Air Transportation. He maintains strong institutional ties through the Center for Transportation Studies and collaborates extensively with international researchers on aviation policy challenges.

• Rehabilitation Robotics
• Dynamic Systems and Control
• Optimization
• +6 more

Sunil K. Agrawal is a Professor of Mechanical Engineering and Professor of Rehabilitation and Regenerative Medicine at Columbia University, where he directs a highly interdisciplinary rehabilitation robotics program bridging the School of Engineering and Applied Sciences and the College of Physicians and Surgeons. His research focuses on developing robotic systems to restore and enhance human mobility for individuals with neurological disorders, pediatric conditions, and age-related decline. Education: PhD in Mechanical Engineering, Stanford University, 1990 MS in Mechanical Engineering, Ohio State University, 1986 BS in Mechanical Engineering, Indian Institute of Technology (IIT) Kanpur, 1984 Research Focus: Dr. Agrawal’s work centers on rehabilitation robotics , where he integrates dynamic systems, control theory, and optimization to create robotic devices that assist in gait training, balance improvement, and functional movement restoration. His studies span stroke, Parkinson’s disease, cerebral palsy, vestibular disorders, and spinal cord injury, using devices like the Tethered Pelvic Assist Device (TPAD) and robotic exoskeletons. Scientific Honors: Machine Design Award, ASME (2016) Robotics and Mechanisms Award, ASME (2016) Fellow, American Institute of Medical and Biological Engineering (AIMBE) (2016) Fellow, American Society of Mechanical Engineers (ASME) (2004) Alexander von Humboldt Foundation U.S. Senior Scientist Award (2007) Friedrich Wilhelm Bessel Research Award (2002) Presidential Faculty Fellow Award, The White House (1994) Research Collaborations & Funding: Dr. Agrawal collaborates with faculty across Neurology, Rehabilitation Medicine, Pediatric Orthopedics, Otolaryngology, Geriatrics, and Psychiatry. His work is supported by the National Science Foundation, National Institutes of Health, and the Spinal Cord Injury Research Board. Laboratory & Outreach: He leads an active research group focused on translational robotic systems, with ongoing clinical trials for stroke, Parkinson’s, cerebral palsy, and elderly fall prevention. His lab develops novel robotic braces, exoskeletons, and VR-integrated training platforms.

• RF and Microwave Engineering
• Power Amplifiers
• Digital Transmitters
• +4 more

Leonardus Cornelis Nicolaas de Vreede is a Professor at Delft University of Technology in the Faculty of Electrical Engineering, Mathematics and Computer Science. With over 237 research publications and extensive conference activities, he is a leading researcher in RF and microwave engineering with specialization in power amplifiers, digital transmitters, and mm-wave circuits for wireless communications applications. Dr. de Vreede's research focuses on the intersection of circuit design and signal processing for next-generation wireless systems: Advanced Power Amplifier Architectures including Doherty and Out-phasing techniques Energy-Efficient Digital Transmitters with high linearity and power efficiency mm-Wave Circuit Design for 5G/6G applications Machine Learning Applications for Digital Predistortion CMOS RF Integrated Circuit Implementation Wideband Signal Processing Techniques His recent publications demonstrate a clear research trajectory toward integrating machine learning with traditional RF circuit design to solve the efficiency-linearity tradeoff in wireless transmitters. This work is particularly relevant for current and future wireless infrastructure requiring high spectral efficiency across wide bandwidths while maintaining energy efficiency. Dr. de Vreede has received significant recognition for his contributions to the field: EuMC Microwave Prize (2024) for groundbreaking work on wideband Doherty amplifiers Recognition for innovative characterization techniques for high-power RF transistors (2015) As an active researcher and educator, Dr. de Vreede has supervised 16 students and regularly participates in major international conferences including serving on program committees for the IEEE MTT-S International Microwave Symposium. His work bridges theoretical advances with practical implementations for wireless infrastructure applications, with numerous patents and industry collaborations evident from his research portfolio.

• Microelectronics and Nanotechnology
• VLSI and Circuit Design
• Communications, Networking, Signal & Image Processing
• +4 more

Saeed Mohammadi is a Professor in the Department of Electrical and Computer Engineering at Purdue University's College of Engineering, with campus affiliations in West Lafayette and Indianapolis. His research focuses on Microelectronics and Nanotechnology , VLSI and Circuit Design , and Communications, Networking, Signal & Image Processing , with specific interests in high-speed and low-power electronics, 3-D integration, novel semiconductor devices, and reconfigurable systems. Education: M.S. (University of Waterloo, 1994), Ph.D. (University of Michigan, 1999) He is associated with the Birck Nanotechnology Center at Purdue University, contributing to advanced research in semiconductor technologies and nanoscale systems.