Find Academic Supervisors

Jonathan BoualavongView profile

Assistant Professor

• Electrochemical Separations
• Climate Change Mitigation
• Public Health
• +6 more

Jonathan Boualavong is an Assistant Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York. His research focuses on electrochemical separations for climate change mitigation, public health, and environmental justice, integrating engineering and critical science and technology studies perspectives. PhD, Environmental Engineering, Pennsylvania State University (2023) MPhil, Chemical Engineering, University of Strathclyde, Scotland (2019) BS, Biomedical Engineering, University of Rochester (2017) His work examines: Electrochemical CO2 capture and its energy implications Mechanistic understanding of metal separations Ethical dimensions of scientific measurement Integration of renewable energy systems with chemical processes Current projects analyze: Air-water interface manipulation for CO2 absorption Electrochemical controls on lead/copper corrosion Coordination chemistry in transition metal redox processes Ethical citation networks in separation science Contact: jboualav@buffalo.edu

Yiting XiaView profile

Assistant Professor

• Computer Networks
• Data Center Networking
• Optical Communications
• +3 more

Dr. Yiting Xia is a tenure-track faculty member at the Max Planck Institute for Informatics (MPI-INF), leading the Network and Cloud Systems research group. She previously worked as a research scientist at Facebook and holds a PhD in Computer Science from Rice University (2018) and a B.S. in Telecommunications Engineering from Beijing University of Posts and Telecommunications and Queen Mary University of London (2011). Her research focuses on high-performance and energy-efficient networking for cloud computing, including reconfigurable data center networks, optical communications, and network protocols. Notable contributions include innovations in transport protocols, time synchronization for optical networks, and failure-resilient network design. Education: PhD in Computer Science, Rice University, 2018 M.S. in Computer Science, Rice University, 2014 B.S. in Telecommunications Engineering, BUPT & QMUL, 2011 Research Interests: Data center networking, optical communications, cloud systems, network protocols, distributed systems, and network security. Her work bridges theoretical contributions with practical implementations, addressing challenges in latency-sensitive flows, traffic engineering, and system reliability. Awards include the Ken Kennedy-Cray Fellowship and the N2Women Rising Star Award (2021). She has co-lectured courses on distributed systems and data networks at Saarland University and previously contributed to teaching at Rice University. Key projects include Aurora (for MoE inference optimization), Lighthouse (an open research framework for optical networks), and Occam (a reliable network management system). Grants & Projects: Focus on deployable optical network architectures and resilient backbone management during pandemic-driven traffic shifts. Labs/Teams: Leads the Network and Cloud Systems group at MPI-INF, collaborating with academia and industry on cutting-edge networking solutions.

Miroslav KrsticView profile

Professor

• Control Theory
• Nonlinear Systems
• Adaptive Control
• +5 more

Miroslav Krstic is a Distinguished Professor of Mechanical and Aerospace Engineering at the University of California, San Diego (UCSD), and serves as Senior Associate Vice Chancellor for Research overseeing 17 research institutes, postdoctoral affairs, and shared facilities. He leads the Center for Control Systems and Dynamics and the Naval Innovation, Science, and Engineering Center (NISEC). Education: PhD (1994) and MS (1992) from University of California, Santa Barbara, under advisor Petar Kokotovic. BSc (1989) from University of Belgrade, Yugoslavia. Research Interests: Pioneered methods in control theory including PDE backstepping, extremum seeking, nonlinear adaptive control, and delay compensation. Focuses on applications in chip manufacturing, aircraft carriers, particle accelerators, Mars rovers, and traffic congestion. Integrates machine learning with control design for PDE systems. Awards: Over 30 major honors including the Bellman Award, Reid Prize, Oldenburger Medal, Bode Lecture Prize, and Fellowships from AAAS, SIAM, ASME, IEEE, and IFAC. Recognized as the world's top control theorist by ScholarGPS. Service & Grants: Editor-in-Chief of IEEE Transactions on Automatic Control and Systems & Control Letters . Directed over $100M in research funding annually. Advised 30+ PhD students and postdocs, many in industry leadership roles. Industry Impact: Technologies deployed in EUV lithography (Cymer/ASML), US Navy aircraft carrier arresting gear (General Atomics), and NASA's Mars Curiosity Rover laser system. Contributions to fusion control, battery estimation, and combustion optimization.

Shannon NeibergsView profile

Researcher

• Economics of Livestock Production and Management
• Auction Markets
• Agribusiness Employment
• +3 more

Shannon Neibergs is an academic professional at Washington State University (WSU), serving as Director of the Western Center for Risk Management Education and Extension Specialist in the School of Economic Sciences. She holds a Ph.D. in Agricultural Economics from Texas A&M University (1993), an M.A. in Agricultural Economics from WSU (1987), and a B.S. in Animal Science from WSU (1983). Her research focuses on livestock production economics, auction market dynamics, and agribusiness employment strategies, with significant contributions to risk management education and sustainable agriculture. Notable honors include NACAA National and Regional Finalist awards for team newsletters (2010, 2008), a Faculty Member of the Year Award (University of Louisville, 1997), and multiple annual evaluation awards for service and research excellence. Her work bridges academic research with practical extension programs, addressing challenges in beef production systems, genomic selection tools, and rangeland management. Risk Management Education: Leads initiatives to help farmers navigate market uncertainties and policy changes. Livestock Economics: Specializes in production costs, crossbreeding impacts, and disease management economics. Regional Agriculture: Analyzes economic contributions of Washington's beef and dairy sectors through input-output models. Her advisory and collaborative efforts include managing the Western Center for Risk Management and contributing to the Beef Risk Control (BRD CAP) project. She collaborates with ranchers and policymakers to enhance agricultural resilience. Active in interdisciplinary teams such as the IMPACT Center and Transportation Research Group, her work emphasizes translating research into actionable solutions for agricultural stakeholders.

Chung-Hsing YehView profile

Associate Professor

• Multicriteria Decision Analysis
• Applied Artificial Intelligence
• Intelligent Decision Support Systems
• +6 more

Chung-Hsing Yeh is an Associate Professor at Monash University's Faculty of Information Technology, Department of Data Science & AI. He holds a visiting professorship at National Cheng Kung University, Taiwan, and has extensive experience in academic roles including Chief Examiner and Lecturer for numerous IT and business-related courses. His research focuses on multicriteria decision analysis, applied artificial intelligence, fuzzy logic, neural networks, and sustainable operations management. He has led collaborative projects on e-waste recycling, supply chain optimization, and public health policy, funded by organizations like the Ministry of Science and Technology (Taiwan) and the Australian Research Council. Education: PhD in Operations Research/Information Systems, Monash University (1988) MSc in Management Science, National Cheng Kung University (1982) BSc (Engineering) in Industrial Design, National Cheng Kung University (1977) Research Interests: His work spans decision support systems, optimization modeling, transport research, and recycling operations. Notable contributions include algorithms for production scheduling, AI-driven solutions for healthcare, and sustainable e-waste management strategies. Awards: Listed in Marquis Who's Who in the World Listed in Who's Who in Finance and Industry Listed in Who's Who in Science and Engineering Grants & Projects: Led 6 major projects, including 'Maximizing E-waste Recycling Profitability' (2019–2020) and 'Smoke-Free Policy Effectiveness' (2007–2010). Active in grant review roles for ARC and the Netherlands Organisation for Scientific Research. Teaching: Overseeing courses such as Fundamentals of Artificial Intelligence, Business Intelligence Modelling, and Management Information Systems.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +12 more

Hao Liu is a researcher affiliated with institutions like Chinese Academy of Sciences , Beihang University , and Stanford University . His work spans Computer Science , Artificial Intelligence , and Robotics . Key affiliations: National Space Science Center (Beijing), School of Astronautics (Beihang), Key Laboratory of Pervasive Computing (Tsinghua) Research interests include Machine Learning , Image Processing , Graph Neural Networks , and Wireless Communication Optimization His recent publications focus on: Advanced control systems for fuzzy models Medical imaging via hyperspectral analysis Transformer-based approaches in NLP and vision Quantum-safe and edge computing protocols

• Machine Learning
• Computer Vision
• Signal Processing
• +6 more

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

• Optimal Control
• Power Electronics
• Wireless Power Transfer
• +3 more

Zeinab Karami Hassan Abadi is a PhD candidate at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), under Professors Jon Are Wold Suul and Marta Molinas. Her research focuses on Control of Wireless Power Transfer Systems for Public Transport Applications, supported by SINTEF Energi's collaboration with Dr. Giuseppe Guidi. Academic Background: 2015-2021: Research Associate at University of Kurdistan, Sanandaj, Iran. 2015-2017: M.Sc. in Power Systems Engineering (University of Kurdistan). 2011-2015: B.Sc. in Electrical Engineering (University of Kurdistan). Research Interests span Optimal Control of Power Converters, Model Predictive and Robust Control, Wireless Power Transfer Systems, and Microgrid Dynamics. She specializes in advanced control strategies for power electronics in renewable energy and EV charging applications. Her work emphasizes stability and efficiency in power systems, with contributions to Model Predictive Control (MPC) for DC microgrids and inductive power transfer. Notable collaborations include projects with SINTEF Energi, focusing on practical implementations of control algorithms in real-world systems. Labs/Teams: Active in NTNU’s Power Electronics and Drives group, collaborating with SINTEF on applied power systems research.

Benyamin DavajiView profile

Assistant Professor

• Integrated Microsystems
• MEMS
• Nanofabrication
• +4 more

Benyamin Davaji serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he joined in January 2022. He holds additional appointments as a Center Member of The Plastics Center and Core Faculty of the Institute for NanoSystems Innovation (NanoSI). His work bridges microsystems engineering, nanofabrication, and data science to develop next-generation sensing technologies. Dr. Davaji's educational background includes: Postdoctoral Associate in Electrical and Computer Engineering at Cornell University (2016-2021) Ph.D. in Electrical Engineering from Marquette University (2016) His research centers on integrated microsystems with emphasis on mechanical wave-based sensing and computation, ultrasound transducers, bio-interfaces, and microcalorimetry. The Autonomous Integrated Microsystems (AIMS) Laboratory combines physics with AI/ML to invent novel sensors and computational devices through advanced nanofabrication. Key thrusts include power-sustaining architectures and analog/digital computational integration. Recent publications (2024-2025) reveal strong trends in MEMS/NEMS optimization using digital twins, plasmonically enhanced infrared detection, ferroelectric actuators for high-speed scanning, and ultrasound-enabled metrology. His work increasingly integrates machine learning for design automation and process optimization across semiconductor manufacturing and flexible hybrid electronics. Dr. Davaji advises graduate students including Yilmaz Arin Manav (PhD'28), who won the FLEX 2024 Future Student Poster Award. He has secured over $3 million in competitive funding as PI/Co-PI, including a $550k NSF grant for MEMS actuators, $330k NSF grant for quantum detectors, and $2M DARPA grant for inertial sensors. He directs the interdisciplinary AIMS Laboratory focused on MEMS, ultrasound, and calorimetric technologies. The lab collaborates extensively with NanoSI and The Plastics Center, developing autonomous microsystems for biomedical, environmental, and industrial applications through advanced manufacturing techniques.

Sheena D'ArcyView profile

Associate Professor

• Structural Biology
• Gene Transcription Mechanisms
• Protein Dynamics
• +3 more

Dr. Sheena D'Arcy is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Texas at Dallas (UT Dallas), affiliated with the School of Natural Sciences and Mathematics. Her research focuses on structural biology, protein dynamics, and the molecular mechanisms of gene transcription, particularly involving histone chaperones and nuclear transport proteins. She holds a PhD in Structural Biology from the University of Cambridge (2008) and a BS in Biochemistry and Biology from the University of Sydney (2003). Her work employs advanced techniques like hydrogen-deuterium exchange mass spectrometry (HDX-MS) and structural biology to investigate protein-RNA interactions, nucleosome assembly, and enzyme evolution. She leads the D'Arcy Lab, which explores topics such as TRAMP complex function, RanGTP signaling in histone transport, and conserved viral epitopes in coronaviruses. Dr. D'Arcy received a NIH ESI-MIRA grant (R35GM133751) to study nucleosome assembly mechanisms. Her research bridges molecular-level interactions with cellular processes, contributing to understanding epigenetic regulation and viral pathogenesis. She is currently not accepting undergraduate students but actively mentors graduate researchers in structural biology and biochemistry.

Ikjot SainiView profile

Professor

• Cybersecurity
• Automotive Systems
• Vehicular Networks
• +3 more

Ikjot Saini is a Professor at the University of Windsor’s Faculty of Engineering, co-leading the SHIELD Automotive Cybersecurity Centre of Excellence, Canada’s first organization addressing threats in connected transportation. Her research focuses on automotive cybersecurity, vehicular networks, and privacy-preserving technologies. She has supervised doctoral students Shiva Nejati and Kunj Dhonde, and contributed to courses in the University’s Continuing Education program, specializing in cybersecurity education for professionals. Her work includes pioneering studies on blockchain-based security for connected autonomous vehicles (CAVs), machine learning-driven intrusion detection systems, and privacy-enhancing mechanisms like pseudonym-changing strategies. She has been recognized with the K.W. Michael Siu Award from the APMA Institute for Automotive Cybersecurity (2020). Saini’s research bridges theoretical advancements with real-world applications, ensuring vehicles and infrastructure remain secure against evolving cyber threats. Her contributions span academic publications, industry partnerships, and policy recommendations, positioning her as a leader in vehicular cybersecurity. Ongoing projects emphasize eco-efficiency in cybersecurity solutions and adversarial modeling for privacy evaluation.

• Information Systems
• Sustainable Energy Markets
• Smart Grids
• +10 more

Wolf Ketter is a Full Professor of Next Generation Information Systems at the Department of Technology and Operations Management, Rotterdam School of Management, Erasmus University, and Chaired Professor of Information Systems at the University of Cologne. He serves as Director of the Institute of Energy Economics (EWI) in Cologne and leads the Erasmus Centre for Future Energy Business in Rotterdam. He is a leading figure in designing sustainable smart markets using advanced computing and simulation techniques. His research focuses on Information Systems , Machine Learning , Energy Economics , and Sustainable Smart Markets . He pioneered the use of Competitive Benchmarking through simulation platforms like Power TAC to tackle complex sustainability challenges. His work bridges computer science, economics, and business to design intelligent systems for energy, transportation, and resource allocation. The recent articles highlight a strong trend toward real-time decision-making in sustainable systems—such as electric bus operations, shared electric vehicles, traffic signal control via reinforcement learning, and local energy markets. These reflect his focus on AI-driven optimization , smart market design , and urban sustainability . Scientific Awards: INFORMS ISS Design Science Award (2012) Runner-up for Best European IS Research Paper (2013) ERIM Top Article Award (2013) ERIM Impact Award (2014) He has supervised over 10 PhD students and secured significant research impact through grants and collaborative projects. His editorial roles include serving on the boards of Information Systems Research and MIS Quarterly , the top journals in the IS field. He has chaired over 20 international conferences and workshops, advancing global discourse in trading agents and sustainable systems. Wolf Ketter founded and leads the Learning Agents Group at Erasmus University and chairs the annual Erasmus Energy Forum . His labs and teams focus on building simulation environments and AI agents to model and improve real-world sustainable markets, particularly in energy and mobility.

René M.B.M. de KosterView profile

Professor

• Logistics
• Operations Management
• Warehousing
• +7 more

René M.B.M. de Koster is a Full Professor of Logistics and Operations Management at the Rotterdam School of Management (RSM), Erasmus University, where he has been a faculty member since 1995. He holds a PhD from Eindhoven University of Technology (1988) and is a leading expert in warehousing, material handling, and sustainable logistics. PhD, Eindhoven University of Technology, 1988 Professor, RSM, Erasmus University, 1995–present Honorary Francqui Chair, Hasselt University, 2018 His research focuses on warehousing systems , robotics in logistics , container terminals , and behavioural operations . He integrates operations research with real-world logistics challenges, emphasizing sustainability and automation. His work contributes to UN Sustainable Development Goals related to responsible consumption and industry innovation. The most recent publications highlight a strong trend toward autonomous systems and AI-driven logistics , particularly in robotic fulfillment, dynamic routing, and human-robot collaboration. These works reflect interdisciplinary engagement with computer science, industrial engineering, and behavioural science. Notable scientific awards include: IISE Annual Conference Best Student Paper Award (2024) Transportation Science Paper of the Year (2023) EJOR Best Paper Award (2023) Best European Journal of Operational Research Review Paper (2022) Best Paper Finalist at major logistics conferences Professor de Koster has supervised over 30 students and is actively involved in editorial service for top journals such as Transportation Science , Production and Operations Management , and International Journal of Production Research . He is chairman of Stichting Logistica and founder of the Material Handling Forum, contributing significantly to both academic and industry advancement in logistics. He leads research in advanced logistics labs focusing on robotic sorting, mobile fulfillment, and sustainable supply chains, often in collaboration with European institutions and industry partners.

Timothy B. CurryView profile

Professor

• Autonomic Nervous System
• Cardiovascular Physiology
• Insulin Sensitivity
• +4 more

Timothy B. Curry, M.D., Ph.D., is a Professor of Anesthesiology and Assistant Professor of Physiology at Mayo Clinic, Rochester, Minnesota. He holds academic roles including Vice Chair for Clinical Practice in the Department of Anesthesiology and Perioperative Medicine, and leads initiatives in individualized medicine through the Center for Individualized Medicine. His research focuses on autonomic nervous system regulation of cardiovascular and metabolic functions, employing advanced techniques such as microneurography and glucose clamping. Key interests include perioperative outcomes, environmental physiology, and hyperbaric medicine. Education: B.A. in Molecular Biology & Biochemistry (Middlebury College) M.D./Ph.D. via Medical Scientist Training Program (SUNY Buffalo) Residency in Anesthesiology (Mayo Clinic) Research Interests: Dr. Curry’s work spans autonomic nervous system physiology, metabolic syndrome mechanisms, and perioperative glycemic control. He leads the Human Integrative Physiology and Clinical Pharmacology Laboratory and collaborates globally on microneurography studies. Recent projects include investigating cerebral oxygen metabolism under hypoxia and developing genomic medicine training programs (COGENT). Awards: Emerald Award for Excellence (2015) Mayo Excellence in Leadership Award (2009) Multiple research and teaching accolades Grants & Leadership: Co-director of Mayo’s Clinomics Program, Team Leader for Perioperative Glucose Management, and Chair of multiple committees overseeing clinical practice and research. Labs & Teams: Directs the Human Integrative Physiology Lab and collaborates with the Clinical Research Unit. Active in multidisciplinary teams addressing autonomic dysfunction and precision medicine.

Papadimitriou KyprianosView profile

Researcher

• Reconfigurable Systems
• Hardware Design
• Digital Systems
• +7 more

Kyprianos Papadimitriou is a Researcher at the Microprocessor and Hardware Laboratory within the School of Electrical and Computer Engineering at the Technical University of Crete . He holds a PhD in Electronic and Computer Engineering (2012) and has been involved in teaching laboratory courses such as Logic Design , Computer Architecture , and VLSI/ASIC Circuit Design . Research Areas : His work spans Reconfigurable Systems , Hardware Design , Computer Architecture , RFID Systems , and Real-Time Systems . He has developed innovative approaches in FPGA-based dynamic reconfiguration, MPSoC security, and 3D stereo vision for surveillance. Key Trends : Runtime reconfiguration for FPGAs Security frameworks for NoC-based MPSoCs Low-cost embedded vision systems Optimization of reconfiguration overhead Hardware task scheduling methodologies Genetic algorithm implementations on FPGAs Scientific Contributions : 1 USA patent (2005) Co-author of VLSI-SoC 2013 paper nominated for 1st Prize Active member of scientific committees (FPL, ReConFig) Peer reviewer for IEEE, Elsevier, and Springer journals Session chair at IEEE CNS and HPCC conferences Grants & Projects : Participated in competitive European and national programs, serving as scientific manager, coordinator, and technical coordinator. Developed spin-off company (2003-2005) to commercialize master's thesis research. Laboratory & Teaching : Affiliated with the Microprocessor and Hardware Laboratory , focusing on practical training in digital systems, processor-based systems, and VLSI design.