جست‌وجوی استاد و پژوهشگر

Sreedhari Desaiمشاهده پروفایل

دانشیار

• Negotiations
• Ethical Decision Making
• Organizational Behavior
• +۵ مورد دیگر

Sreedhari Desai is an award-winning, tenured Associate Professor of Organizational Behavior and Crist W. Blackwell Scholar at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. Her research focuses on negotiations, ethical decision-making, and gender dynamics in organizations. She holds a PhD in Organizational Behavior from the University of Utah, an MS in Finance, and a BS in Metallurgical Engineering from Punjab Engineering College. Dr. Desai’s academic career includes roles as a visiting assistant professor at Duke University’s Fuqua School of Business and research fellowships at Harvard University’s Edmond J. Safra Center for Ethics and Harvard Kennedy School’s Women and Public Policy Program. She has been honored with prestigious awards such as the Mariner S. Eccles Graduate Fellowship and finalist recognition for the ASPEN Dissertation Proposal Award. Her research explores topics like unethical behavior mitigation, gender and racial disparities in negotiations, and the impact of organizational income inequality. Notable findings include the role of virtuous quotes in curbing unethical requests and the link between marital structure and workplace gender attitudes. Her work has been featured in outlets like Harvard Business Review, Wall Street Journal, and BBC. As an educator, Desai teaches MBA, Master of Accounting, and PhD courses on leadership, negotiations, and ethics. She is a sought-after keynote speaker and consultant for global organizations, military leaders, and Fortune 500 companies, advising on strategic decision-making and ethical practices. Her consulting clients include Boeing, IBM, ExxonMobil, and the U.S. Army. Dr. Desai’s grants and fellowships include funding from the National Stock Exchange of India and UNC’s University Research Council. She has also received the MBA Teaching All-Star award multiple times for her engaging pedagogy.

• Finance
• Economics
• Financial Markets
• +۴ مورد دیگر

Professor Ian Marsh is a Professor of Finance at Bayes Business School, University of London. He has held this position since 1998 with a temporary leave at the Bank of England between 2001–2003. His research focuses on credit risk transfer markets, foreign exchange dynamics, and macroeconomic exchange rate modelling. He holds a B.Sc. from Sheffield, an M.Sc. from Birkbeck, and a PhD in Economics from Strathclyde. Marsh's research explores three core areas: macroeconomic exchange rate models, FX/equity market microstructure, and credit derivatives. His work on short-selling bans in the UK won the 2011 INQUIRE Prize. He has supervised over 10 PhD students, including Jason Cen and Kwabena Duffuor, focusing on topics like international finance and microstructure analysis. Key publications include the 2012 Handbook of Exchange Rates and influential studies on central bank interventions and credit default swaps. His work is published in top journals like the Journal of Financial Economics and Journal of International Money and Finance . Marsh serves on editorial boards including the Journal of Banking and Finance , and consults for institutions like the Bank of Finland on credit risk innovations. His media engagements include BBC and Financial Times commentary on financial market policies.

Mohammadreza Araniمشاهده پروفایل

استادیار

• Cyber-physical security of smart grids
• Microgrids dynamics and control
• Renewable and distributed generation
• +۲ مورد دیگر

Dr. Mohammadreza Arani is an Assistant Professor and Canada Research Chair (CRC) in Smart Grid Cyber-Physical Security at Toronto Metropolitan University's Department of Electrical, Computer, and Biomedical Engineering. He joined the university in 2019, bringing expertise in renewable energy, microgrids, and cybersecurity. His research focuses on enhancing smart grid stability, renewable integration, and cyber-physical security. Education: BSc: Sharif University of Technology (2009) MASc: University of Waterloo (2012) PhD: University of Alberta (2017) Research Interests: Arani specializes in cyber-physical security of smart grids, microgrid dynamics, renewable energy systems, and power system stability. His work bridges urban infrastructure needs and advanced energy technologies, emphasizing practical solutions for modern grid challenges. Awards: NSERC Postdoctoral Fellowship (2017–2019) Alberta Innovates Technology Future Student Scholarship (2014–2017) Advising & Collaboration: Arani views graduate students as future colleagues, fostering independent research and collaboration. He emphasizes interdisciplinary approaches and industry-academia partnerships, leveraging Toronto's urban environment for applied research. Labs & Teams: While no specific lab is named, his research benefits from Toronto Metropolitan's facilities and collaboration networks in power systems and cybersecurity.

• Computer Science
• Social Sciences
• Geography and Planning
• +۳ مورد دیگر

Dr. Jeffrey Morgan is a Researcher at Cardiff University's School of Social Sciences, specializing in multidisciplinary research at the intersection of computer science, social science, and geography. His work emphasizes human-computer interaction, visualization, and big data analytics. He holds a Research Software Engineer role, combining technical expertise with academic inquiry. Key research interests include AI-driven patent analysis, IoT applications in rural citizen science, and geospatial Twitter demographics. He has contributed to studies on Hadoop infrastructure optimization and social media conflict detection, often collaborating with institutions like Xiamen University and the University of Bremen. His publications span topics like energy-efficient big data processing, digital geography of Welsh identity, and scalable social media analysis frameworks. Notable projects include COSMOS (a cloud-based social media analysis platform) and studies on post-devolution cultural narratives in Wales. Award-winning work includes computational Twitter analysis for detecting online community tensions and geotagging behavior patterns. His research often bridges technical innovation with societal impact, addressing challenges in rural technology deployment and digital sociology.

• Signal Processing
• Communications
• Bioimaging
• +۵ مورد دیگر

Amir Asif is a Professor at the Lassonde School of Engineering, York University, and concurrently serves as Vice President, Research and Innovation. His academic leadership roles include Dean of the Gina Cody School of Engineering and Computer Science at Concordia University (2014-2020). He specializes in signal processing, communications, and their applications in healthcare, power grids, and distributed systems. Asif holds a PhD from Carnegie Mellon University and a Harvard certification in executive leadership. Education: PhD, Electrical and Computer Engineering, Carnegie Mellon University (1996) MS, Electrical and Computer Engineering, Carnegie Mellon University (1993) BSc, University of Engineering and Technology Lahore (1990) Harvard Certificate in Leadership for Senior Executives (2018) Research Interests: Asif’s work spans signal processing for medical imaging (e.g., ultrasound elastography), smart grid optimization, and cybersecurity in power systems. His recent publications address hydrogen energy systems, EMG-based gesture recognition, and resilient control frameworks against cyberattacks. Grants & Leadership: He leads NSERC-funded projects on federated learning and resilient algorithms. He chairs the Ontario Council of University Research and serves on TRIUMF Innovations and the Richmond Hill Board of Trade. His grants include SSHRC funding for equity initiatives and NSERC support for distributed signal processing. Teaching & Mentorship: Asif has supervised over a dozen graduate students and taught courses like Digital Communications and Statistical Signal Processing Theory. Notable advisees include Arash Mohammadi (PhD, 2014) and Nick Sajadi (PhD, 2017).

• Structural Engineering
• Earthquake Engineering
• Bridge Engineering
• +۳ مورد دیگر

Andrew S. Whittaker is a SUNY Distinguished Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York . He serves as Director of the Institute of Bridge Engineering and Interim Director of the Stephen Still Institute for Sustainable Transportation and Logistics , both within the School of Engineering and Applied Sciences . A registered Civil and Structural Engineer in California, Whittaker specializes in structural and earthquake engineering, bridge engineering, blast and impact engineering, performance-based engineering, and nuclear structures. Research Interests: His work focuses on seismic isolation systems for nuclear reactors, fluid-structure interaction in advanced reactor vessels, gamma radiation effects on materials, and the dynamic behavior of graphite blocks in high-temperature gas reactors (HTGRs). He also explores the commodification of microreactors and soil-structure interaction for seismically isolated facilities. Scientific Awards: Distinguished Member, American Society of Civil Engineers (2025) Untermyer & Cisler Reactor Technology Medal (2023) Nathan M. Newmark Medal (2023) Fellow of multiple societies (ASCE, SEI, ACI) Awards and grants highlight his leadership in nuclear safety, seismic engineering, and reactor design.

Rikky Mullerمشاهده پروفایل

دانشیار

• Neural Engineering
• Medical Devices
• Low-Power Electronics
• +۶ مورد دیگر

Rikky Muller is an Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, holding the S. Shankar Sastry Professorship in Emerging Technologies. She is Co-director of the Berkeley Wireless Research Center (BWRC), a Core Member of the Center for Neural Engineering and Prostheses (CNEP), and an Investigator at the Chan-Zuckerberg Biohub. Her research focuses on implantable/wearable medical devices, low-power wireless systems, and neurotechnology for neurological applications. Education: PhD (2013), UC Berkeley; BS and M.Eng. (2004), MIT, all in EECS. Prior roles include IC designer at Analog Devices and co-founder of Cortera Neurotechnologies (acquired). Research interests include neural interfaces, closed-loop neuromodulation, and biomedical microelectronics. Notable contributions include Neural Dust (ultrasonic implants), wireless EEG systems, and seizure prediction hardware. Awards: MIT TR35 Innovator, NAE Gilbreth Lectureship, NSF CAREER Award, IEEE SSCS New Frontier Award Grants: Bakar Fellows, Hellman Fellowship, NSF CAREER Labs: Muller Lab (UC Berkeley EECS), Chan-Zuckerberg Biohub collaborations

Jean Walrandمشاهده پروفایل

استاد

• Communication Networks
• Network Congestion Control
• Game Theory
• +۵ مورد دیگر

Jean Walrand is a Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. His research focuses on communication networks, performance evaluation, game theory, and stochastic networks. He has authored several influential books, including Communication Networks: A Concise Introduction and Probability in Electrical Engineering and Computer Science , and holds numerous patents in network resource management. Ph.D. in EECS from UC Berkeley IEEE Fellow and recipient of the Stephen O. Rice Prize INFORMS Lanchester Prize for operations research contributions His research interests span communication networks, queueing theory, congestion control, wireless network scheduling, and economic models for network resource allocation. Walrand's work has significantly impacted network design and optimization, particularly in distributed algorithms and game-theoretic approaches. His recent publications emphasize network architecture, delay variability reduction, and distributed optimization algorithms. Walrand has mentored over 20 Ph.D. students, including notable contributors to wireless networks and network economics. IEEE Koji Kobayashi Award (2012) ACM Sigmetrics Achievement Award (2013) INFORMS Lanchester Prize for Communication Networks book As advisor to students like Libin Jiang and Hoi-Sheung Wilson So, Walrand has shaped research in wireless MAC protocols, bandwidth trading, and network security. His technical reports and patents address practical challenges in switch fabric design, bandwidth allocation, and power management.

Dennis G. Whyteمشاهده پروفایل

استاد

• Magnetic Fusion Energy
• Plasma-Surface Interactions
• Accelerators and Surface Analysis
• +۳ مورد دیگر

Dennis G. Whyte is the Hitachi America Professor of Engineering at MIT, leading the Plasma Science and Fusion Center (PSFC) and the SPARC fusion project in collaboration with Commonwealth Fusion Systems (CFS). He holds a BEng from the University of Saskatchewan, and an MS and PhD from Université du Québec. His research focuses on magnetic fusion energy, plasma-surface interactions, and accelerator-based material analysis. Notable awards include the Fusion Power Associates Leadership Award (2018) and the Nuclear Fusion Journal Prize. He teaches courses on fusion energy and technology, including 22.62 and 22.63. His work on SPARC aims to achieve net fusion energy through advanced high-field superconducting magnets, a breakthrough validated in 2021 with a 20-tesla magnet demonstration. Research interests span boundary plasma physics in tokamaks, plasma diagnostics, and fusion reactor design. He has pioneered concepts like the ARC power plant and liquid blankets, emerging from student design courses he led. Over 300 publications and interdisciplinary collaborations highlight his contributions to fusion’s practical application. Grants and industry partnerships reflect his push to accelerate fusion energy’s commercialization, positioning SPARC as a pivotal step toward sustainable clean energy. Labs and teams include the PSFC and CFS collaborations, emphasizing rapid experimentation and modular design. His leadership in national and international panels underscores fusion’s global strategic importance. Recent projects include the MIT-CFS collaboration’s 20T magnet milestone, advancing fusion toward grid-readiness by 2025.

Valerie Karplusمشاهده پروفایل

استاد

• Carbon Management
• Climate Resilience and Environmental Impact
• Critical Minerals and Energy Security
• +۳ مورد دیگر

Valerie Karplus is a Professor in the Department of Engineering and Public Policy at Carnegie Mellon University (CMU) and Associate Director of the Wilton E. Scott Institute for Energy Innovation. She holds a Ph.D. in Engineering Systems from MIT and a B.S. in Biochemistry and Political Science from Yale University. Her research focuses on resource and environmental management in global industrial contexts, emphasizing institutions, management practices, and policy design. Key areas include decarbonization pathways, hydrogen energy systems, and the intersection of public policy with workforce resilience. Dr. Karplus leads the Laboratory for Energy and Organizations (LEO) at CMU and is affiliated with MIT’s Energy Initiative and environmental policy centers. She previously directed the MIT-Tsinghua China Energy and Climate Project (2011–2016), analyzing China’s energy policies and their global impacts. Her work bridges academia and practice, addressing challenges like steel industry decarbonization and clean energy workforce development through interdisciplinary approaches. Notable contributions include modeling China’s carbon neutrality targets (C-REM 4.0), evaluating hydrogen hub risks, and assessing energy audit effectiveness. She has secured grants such as a $500,000 ARISE planning grant to analyze Appalachian workforce skills for decarbonization. Media engagements include commentary on EU energy strategies, green hydrogen viability, and nuclear energy for AI systems.

Hari Nairمشاهده پروفایل

استادیار

• Materials Synthesis and Processing
• Semiconductor Physics and Devices
• Advanced Materials
• +۱۲ مورد دیگر

Hari Nair is an Assistant Professor in the Department of Materials Science and Engineering at Cornell University, part of the College of Engineering. His research focuses on the synthesis and characterization of complex oxide thin films using molecular beam epitaxy (MBE), with applications in power electronics, quantum materials, and optoelectronics. B.Tech. in Engineering Physics, Indian Institute of Technology Madras, 2006 M.S. in Electrical and Computer Engineering, The University of Texas at Austin, 2008 Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2013 His research interests lie at the intersection of semiconductor physics, materials synthesis, and advanced functional materials. He specializes in epitaxial strain engineering, heterostructure design, and the control of electronic and magnetic properties in oxide thin films. His vision is to leverage novel materials to enable revolutionary advances in electronic and optoelectronic devices. Analysis of his recent publications reveals a strong focus on β-Ga₂O₃ for high-power devices and ruthenate-based quantum materials such as Sr₂RuO₄ and SrRuO₃. His work spans ultra-wide bandgap semiconductors, strain-engineered phase transitions, superconductivity, and spin-orbit phenomena. Techniques include MBE growth, THz spectroscopy, and advanced electron microscopy. Notable scientific awards include: Student Paper Award, Device Research Conference (DRC), 2013 The Ben Streetman Prize for Outstanding Research in Electronic and Photonic Materials and Devices, 2013 Student Paper Award, Electronics Materials Conference (EMC), 2012 Hari Nair has advised several graduate students and postdoctoral researchers, though specific names are not listed in the provided text. His work has been supported by grants from federal agencies and institutional programs focused on advanced materials and quantum science. He is actively involved in collaborative research through centers and labs at Cornell, particularly those related to materials synthesis and characterization. He leads a research group focused on the growth and study of epitaxial thin films, working closely with the D.G. Schlom group and other collaborators in the Kavli Institute at Cornell. His lab utilizes state-of-the-art MBE systems and advanced characterization tools for probing electronic, magnetic, and structural properties at the nanoscale.

Claude DELPHAمشاهده پروفایل

استاد

• Signal Processing
• Fault Diagnosis and Prognosis
• Electrical Engineering Systems
• +۴ مورد دیگر

Claude DELPHA is a Full Professor at Université Paris Saclay, affiliated with CentraleSupélec’s Laboratoire des Signaux et Systèmes (L2S). He holds an IEEE Senior Member status and has been with L2S since 2001. His expertise spans signal processing, fault diagnosis, electrical engineering systems, and machine learning. He leads the Modelling and Estimation team (GME) at L2S and oversees engineering admissions at Polytech Paris Saclay. Education: PhD in Instrumentation & Measurements and Signal Processing from Université de Metz, with a focus on intelligent sensor systems. Graduate degree in Electrical and Signal Processing Engineering. Research Interests: Multidimensional/statistical signal processing, fault diagnosis/prognosis (modeling, detection, estimation), electrical systems (drives, converters, PV), data hiding (watermarking), and pattern recognition (machine/deep learning). Active in energy systems, industry 4.0, and health/biology applications. Professional Roles: Director of GME research team, Polytech admissions lead, member of Polytech’s executive and academic boards, and IUT department council member. Engaged in labs like SYCOMORE and ILOCOS. Publications: Over 200 works since 2015, focusing on fault diagnosis in electrical systems, photovoltaic modules, bearings, and tidal turbines. Key methods include Kullback-Leibler divergence, Jensen-Shannon divergence, Mahalanobis distance, and PCA-based approaches. Awards: Not explicitly listed in provided texts.

Hemant K. Bhargavaمشاهده پروفایل

استاد

• Technology Management
• Management Information Systems
• Economics of Information Technology
• +۱۲ مورد دیگر

Hemant K. Bhargava is a Distinguished Professor at the Graduate School of Management, University of California Davis, where he holds the Jerome and Elsie Suran Chair in Technology Management. He serves as Associate Dean for Academic Affairs and Director of the Center for Analytics and Technology in Society (CATS), and previously served as Associate Dean for Instructional Programs (2010–2013) and Faculty Chair. He co-founded and was the first Academic Director of the UC Davis Master of Science in Business Analytics (MSBA) program. His educational background includes: Ph.D. in Decision Sciences, The Wharton School, University of Pennsylvania (1989) MBA, Indian Institute of Management Bangalore (1986) B.S. in Mathematics, University of Delhi (1984) Bhargava is a leading scholar in technology management, information systems, and decision analytics. His research focuses on the economics of digital goods and platforms, pricing strategies, AI in business, healthcare IT, and platform ecosystems. He builds economic models to study operations, marketing, and competitive strategy in tech-driven markets, with applications in healthcare, media, electric vehicles, and generative AI. His recent publications reveal a strong trend toward platform business models, data sharing, AI’s impact on research and education, and healthcare cost transparency. He explores how digital platforms shape competition, how data can be leveraged across markets, and how real-time decision tools can reduce prescription drug costs. His work bridges theory and practice, often involving collaboration with industry and policy makers. His scientific awards include: INFORMS Journal on Computing Test of Time Award (2023) INFORMS CIST Best Paper Award (2021) Google Research Excellence Gift (2017–18) Distinguished Alumni Award, IIM Bangalore (2024) INFORMS ISS President's Service Award (2023) Global 100 Top Academic Data Leaders (2020) Bhargava has played a pivotal role in academic leadership and program development. He co-founded the Theory in Economics of Information Systems (TEIS) workshop and has served on editorial boards of top journals including Management Science (where he is Department Editor for Information Systems), Operations Research, and Marketing Science. He has advised numerous campus initiatives, including the UC Davis Data Lab and Religions of India Initiative. His grants and collaborations include work with Google and healthcare organizations on real-time price transparency tools. He leads the Center for Analytics and Technology in Society (CATS), which focuses on the societal implications of data and AI. He also co-founded the MSBA program and continues to shape the future of business education in the age of AI through strategic planning committees.

Brad Campbellمشاهده پروفایل

دانشیار

• Ubiquitous Computing
• Internet of Things (IoT)
• Embedded Systems
• +۱۲ مورد دیگر

Brad Campbell is an Associate Professor in the Department of Computer Science and Electrical and Computer Engineering at the University of Virginia, where he is a member of the Link Lab, a cross-disciplinary research group focused on cyber-physical systems. His research centers on designing and building scalable, effective, and unobtrusive embedded systems for the Internet of Things, with applications in smart buildings, smart cities, and personal health. His work spans hardware design, networking, and cloud infrastructure, with a strong emphasis on energy-harvesting systems, low-power wireless communication, and resilient embedded operating systems. He has led projects such as the Living Link Lab, a heavily instrumented smart building testbed, and has developed open-source platforms for self-powered sensing and IoT ecosystems. His recent publications reflect a strong trend toward privacy-preserving federated learning, contactless occupancy sensing using WiFi and light, decentralized edge computing, and sustainable IoT systems. These works are published in top venues including SenSys, BuildSys, MobiCom, and IPSN, indicating a high impact in the systems and networking community. NSF CAREER Award (2022) Best Paper Award at DFHS’19 Multiple graduate fellowships and teaching awards for his students UVA Engineering Endowed Graduate Fellowships Link Lab Seminar Award CPS Rising Star recognition Brad Campbell has advised numerous PhD and master’s students, many of whom have gone on to academic and industry roles. He has secured significant research funding, including from the NSF, and has contributed to curriculum development in cyber-physical systems. He is actively involved in teaching courses on computer networking, IoT, and operating systems, and has co-taught wireless IoT courses across multiple institutions. His lab focuses on real-world deployment of IoT systems, emphasizing scalability, fault tolerance, and long-term sustainability. He continues to push the boundaries of what embedded systems can achieve in everyday environments, from homes to cities.

Joseph Friedmanمشاهده پروفایل

دانشیار

• Artificial Intelligence Hardware
• Beyond-CMOS Computing
• Neuromorphic Computing
• +۶ مورد دیگر

Joseph S. Friedman is an Associate Professor of Electrical & Computer Engineering at the University of Texas at Dallas, leading the NeuroSpinCompute Laboratory within the Erik Jonsson School of Engineering and Computer Science. His research focuses on unconventional computing paradigms leveraging nanotechnology, including neuromorphic systems, spintronics, and memristive devices. He specializes in nanomagnet-based logic architectures, neuromorphic computing with domain walls and skyrmions, and hardware security for emerging technologies. His research explores energy-efficient computing through novel paradigms such as reversible skyrmion logic, neuromorphic networks using magnetic tunnel junctions, and stochastic Bayesian inference circuits. He has pioneered spintronic neurons demonstrating 94% accuracy in handwritten digit recognition and developed secure logic locking mechanisms using nanomagnet logic. His work integrates experimental fabrication with SPICE modeling, emphasizing scalable beyond-CMOS systems. Recent advancements include toggle SOT-MRAM architectures, quantum circuit design for neutral atom systems, and neuromorphic networks leveraging superconducting flux quanta. He advises over 20 graduate and undergraduate students, fostering innovation in AI hardware and unconventional computing. Notable projects include the NeuroSpinCompute Lab's domain wall neuromorphic networks, secure logic locking schemes, and collaborations with institutions like Sandia National Labs on neuromorphic reservoir computing. Current research trends emphasize low-energy spintronic architectures, hybrid quantum-classical systems, and neuromorphic applications in edge computing. His research is supported by NSF grants CCF-1910800 and CCF-2146439, focusing on neuromorphic and spintronic systems. He regularly contributes to conferences like IEEE Rebooting Computing and SPIE Spintronics, showcasing breakthroughs in nanomagnetic logic and neuromorphic inference.