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Ioan Raicu is a Professor in the Department of Computer Science at Illinois Institute of Technology (IIT) and a guest research faculty at Argonne National Laboratory's Math and Computer Science Division. He leads the Data-Intensive Distributed Systems Laboratory (DataSys) at IIT, focusing on distributed systems, cloud computing, and high-performance computing. His work is primarily funded by the NSF and DOE. Research interests include distributed systems, many-task computing, and data-intensive applications. Over 140 peer-reviewed publications have yielded a H-index of 46, with top papers addressing cloud vs. grid computing comparisons, Globus GridFTP, Swift workflow systems, and Falkon frameworks. Recent projects explore fine-grained parallelism, scalable indexing, and energy-efficient blockchain algorithms. Awards include NSF grants and recognition for lab innovations. Advised PhD students include Alexandru Orhean and Poornima Nookala. The DataSys lab has won the Grainger Computing Innovation Prize and leads initiatives like the BigDataX REU program. Active in conferences such as SC and IEEE IPDPS, Raicu's work bridges theory and practice in extreme-scale computing systems.

• Distributed Systems
• Cloud Computing
• Grid Computing
• +3 more

Lisa Axe is a Professor and Chair in the Otto H. York Department of Chemical and Materials Engineering at NJIT, with a joint appointment in the Department of Civil and Environmental Engineering. Her research focuses on chemical and physical processes in environmental systems, particularly interfacial processes affecting contaminant attenuation, biologically active water treatment filters, and reactive iron mineral coatings in subsurface environments. She has been funded by organizations like the National Science Foundation and Chemours, and serves on the Chemours Science Advisory Board and NJDEP Science Advisory Board. Education - Ph.D., Environmental Engineering (Illinois Institute of Technology, 1995) - MChE, Chemical Engineering (Illinois Institute of Technology, 1995) - M.S., Environmental Engineering (Illinois Institute of Technology, 1992) - B.S., Geoscience (Purdue University, 1984) Research Interests Dr. Axe’s work integrates surface chemistry, microbial ecology, and geochemical analysis to address water contamination challenges. Her lab studies biologically active filters for emerging contaminants and reactive iron mineral dynamics in redox transition zones. Recent projects include advancing biofilm-based water treatment and analyzing subsurface iron mineral coatings’ reactivity. Methodological innovations include cryogenic sampling for subsurface core preservation. Awards DuPont Young Professor Grant Grants & Collaborations Funded projects include partnerships with Chemours, SUEZ North America, and the U.S. Army. She leads research on contaminant degradation mechanisms and sustainable treatment technologies. Her work bridges environmental engineering and geochemistry, emphasizing scalable solutions for water quality challenges. Labs & Teams Her research group operates within NJIT’s Chemical and Materials Engineering department, collaborating with environmental agencies and industry partners to develop next-generation water treatment systems and subsurface remediation strategies.

• Environmental Engineering
• Chemical Engineering
• Water Treatment
• +4 more

Ian Sellers is Professor in Electrical Engineering at University at Buffalo's School of Engineering and Applied Sciences. He specializes in next-generation solar cells and materials for space photovoltaics, with appointments including Marie Curie Fellow (2004-2006) and Visiting Academic Fellow at Oxford (2009-2012). His research examines: Novel photovoltaic materials and architectures Ultra-low power electronic systems MEMS-based sensors and energy harvesters Beyond-CMOS computing technologies Recent publications demonstrate advances in ultra-low power sensor design (MEMS accelerometers), energy-efficient computing (MESO technology), and miniaturized imaging systems. The work shows consistent focus on optimizing power efficiency through innovations in circuit design, materials integration, and system architecture. Before joining UB, Sellers held positions as Presidential Professor at University of Oklahoma and Senior Research Scientist at Sharp Labs of Europe. His international collaborations include extended research stays in France and the UK.

• Photovoltaics
• Semiconductor Materials
• Solar Energy Conversion
• +2 more

Prashant Sankaran is an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo (School of Engineering and Applied Sciences). He holds a PhD in Mechanical & Industrial Engineering from Rochester Institute of Technology (2023), an MS in Industrial & Systems Engineering from RIT (2020), and a BTech in Mechanical Engineering from Sharda University (2014). His research focuses on artificial intelligence for reasoning under uncertainty, explainable AI, and applications in healthcare, energy management, transportation, and space exploration. He integrates operations research and AI techniques to address complex optimization challenges. Research interests include computational design of bioelectronic materials, kidney exchange optimization via graph machine learning, and solving NP-hard combinatorial problems with hybrid learning-optimization frameworks. His work bridges theoretical advancements (e.g., genetic algorithms) with real-world applications like autonomous logistics systems and renewable energy management. No scientific awards have been mentioned. While no advisees are listed, his publications reflect collaborations across AI, robotics, and healthcare sectors. His research spans topics from deep reinforcement learning in warehouse automation to synthetic data generation for transplant systems.

• Artificial Intelligence
• Operations Research
• Healthcare Optimization
• +3 more

Guofu Niu is a Professor in the Department of Electrical and Computer Engineering at Auburn University, holding the Ed and Peggy Reynolds Family endowed chair. His research specializes in semiconductor device physics, compact modeling of SiGe heterojunction bipolar transistors (HBTs), FinFETs, and cryogenic electronics for RF and power applications. Key research areas include RF linearity characterization, avalanche effects, thermal noise, and low-temperature device performance. He has developed advanced models (e.g., Mextram) for circuit simulation tools, enhancing the accuracy of semiconductor design workflows. Publications focus on nano-scale device reliability, tunneling currents, and optimization of RF amplifiers, with applications in 5G technology and extreme-environment electronics. Collaborative projects span industry and academia to advance semiconductor modeling frameworks.

• Semiconductor Devices
• Compact Modeling
• RF Circuit Design
• +3 more

Pedro Fonseca is an Assistant Professor at the Department of Computer Science, Purdue University. He leads the Reliable and Secure Systems Lab, focusing on building reliable and secure core software systems such as operating systems, hypervisors, and distributed systems. His research has been recognized with awards including the NSF CAREER Award and Google Faculty Research Awards. Before Purdue, he completed a postdoc at the University of Washington, working with Arvind Krishnamurthy, Hank Levy, and Xi Wang. He earned his PhD from MPI-SWS and the University of Saarland under Rodrigo Rodrigues. His academic contributions span over 30 peer-reviewed publications in top-tier conferences like SOSP, OSDI, EuroSys, and ASPLOS. He teaches courses including CS503 (Operating Systems), CS592 (Reliable and Secure Systems), and CS408 (Software Testing). He actively serves on program committees for major systems conferences including SOSP, OSDI, EuroSys, and ASPLOS.

• Computer Security
• Operating Systems
• Distributed Systems
• +4 more

Sanat K. Sarkar serves as a Professor in the Department of Statistics, Operations, and Data Science at Temple University's Fox School of Business and Management. An internationally renowned expert, he has pioneered foundational work in multiple testing theory with applications spanning genomics, neuroimaging, and high-dimensional data analysis. His methodological innovations address critical challenges in false discovery rate control under complex dependency structures. Research Interests: Dr. Sarkar specializes in Multiple Testing, Statistical Methodologies, High-Dimensional Statistical Inference, and Multivariate Statistics. His work develops rigorous frameworks for hypothesis testing in modern scientific contexts where thousands of simultaneous tests are performed, ensuring reliable discoveries in fields like genetic association studies and brain connectivity mapping. Key contributions include adaptive FDR procedures and methods for structured hypothesis groups. Publication Trends: Over 2020-2025, his 11 publications demonstrate sustained leadership in refining false discovery rate methodologies. Recent work tackles correlated data (2025), knockoff variable selection (2022), and hierarchical hypothesis structures (2021-2024), reflecting his focus on real-world applicability in biomedical big data. His research bridges theoretical statistics with practical computational solutions. Honors and Awards: Fellow, Institute of Mathematical Statistics Fellow, American Statistical Association Elected Member, International Statistical Institute Musser Award for Research Excellence (Fox School) Multiple Dean's Research Honor Roll Inductions Research Support and Service: Funded continuously by NSF and NSA grants, Dr. Sarkar co-organized the NSF-CBMS conference on Multiple Comparisons and serves on editorial boards of Annals of Statistics , American Statistician , and Sankhya . He regularly delivers invited talks at international venues and mentors junior researchers in statistical methodology development.

• Multiple Testing
• Statistical Methodologies
• High-Dimensional Statistical Inference
• +1 more

Srinivas Narayana is an Assistant Professor in the Department of Computer Science at Rutgers University, specializing in programmable networking, formal verification, and systems research. He holds a PhD from Princeton University and a B.Tech from IIT Madras, with postdoctoral work at MIT. His research focuses on building safe, high-performance networks through optimizing compilers, verified programming, and distributed system monitoring. He has received NSF grants, the CGO 2022 Distinguished Paper Award, and the 2017 SIGCOMM Best Paper Award. Education: PhD and MA in Computer Science, Princeton University (2016) B.Tech in Computer Science, IIT Madras (2010) Postdoctoral Research, MIT (2018) Research Interests: His work bridges networking and systems with a focus on compilers, formal methods, and programmable hardware. Notable projects include K2 compiler for eBPF, the eBPF verifier soundness work, and congestion control mechanisms like CCP. He explores parallel packet processing, privacy-preserving analytics, and load balancing strategies. Grants & Awards: NSF Awards #2422076, #1910796, #2019302 eBPF Foundation Grant Facebook Networking Research Award Network Programming Initiative (NPI) Funding Lab & Teams: Leads the NetSys group at Rutgers, collaborating with teams on projects like the eBPF verifier, verified packet processing, and network monitoring tools like Marple. His lab emphasizes open-source contributions and industry collaboration.

• Computer Networks
• Formal Verification
• Compilers
• +4 more

Bradley Turner serves as the Director of Online Golf Instruction at Keiser University College of Golf, where he holds an academic position with significant leadership responsibilities. With credentials including an MBA and PGA certification, Turner has established himself as an authority in golf education and instruction methodology. His research interests span multiple dimensions of golf education, including golf instruction techniques, golf course management, golf psychology, technological innovations in golf training, turfgrass management, and the business aspects of the golf industry. Turner has demonstrated particular expertise in the psychological components of golf performance and the application of modern technology to traditional golf instruction. Turner's scholarly output demonstrates consistent engagement with contemporary issues in golf education, with a focus on practical applications for both amateur and professional golfers. His work often addresses the intersection of traditional golf instruction with modern technological advancements, examining how digital tools and platforms can enhance learning outcomes in golf education. Over 165 published articles on golf instruction and education Specialized expertise in online golf instruction methodologies Focus on practical applications for golfers of all skill levels Contributions to golf business and management education As Director of Online Golf Instruction, Turner oversees the development and delivery of golf education programs through digital platforms, adapting traditional golf instruction to modern educational technologies and learning preferences. His work bridges the gap between academic golf education and practical industry applications, making him a significant contributor to contemporary golf pedagogy.

• Golf Instruction
• Golf Education
• Golf Course Management
• +5 more

Dr. Jooh Lee is a Professor of Management at Rowan University's William G. Rohrer College of Business. He holds a Ph.D. in Management Science from the University of Mississippi and an M.S. from Colorado State University. His research examines operational linkages between strategy and performance, with emphasis on sustainability, reputation, CEO compensation, and technology impacts. Lee has published over 130 scholarly articles focusing on international business strategy and operational efficiency. His recent work analyzes ESG performance, R&D-exports synergies, and reputation- compensation relationships using advanced modeling techniques. Research methodologies include neural networks, comparative international analyses, and longitudinal performance studies. Honors include holding The Campbell Professorial Chair. His teaching portfolio includes Operations Management, Managerial Decision Making Tools, and Business Forecasting at MBA and undergraduate levels.

• Operations Strategy
• Corporate Sustainability
• CEO Compensation
• +2 more

Dr. Stephen V. Chenoweth is an Associate Professor of Computer Science and Software Engineering at Rose-Hulman Institute of Technology. He holds a PhD in Computer Science and Engineering from Wright State University and has nearly 30 years of industry experience, including roles at NCR Corporation and Bell Laboratories. At Rose-Hulman, he has spearheaded initiatives in software engineering and robotics, including developing online program components and coordinating the senior capstone design course. He is a faculty member of the Home for Environmentally Responsible Engineers, fostering sustainability-focused STEM professionals. His teaching interests span systems architecture, software project management, and interdisciplinary teamwork. Dr. Chenoweth also mentors high school students through Rose-Hulman’s Operation Catapult program. Education: PhD, Wright State University, Computer Science and Engineering (AI Search), 1990 MS, Wright State University, Computer Science (Mathematical Foundations), 1986 MBA, Wright State University, Management, 1980 MS Ed, Butler University, Mathematics, 1970 BS, Butler University, Mathematics, 1966 Professional Contributions: Member of IT Advisory Board, City of Terre Haute Academic administrator for Purdue University’s EPICS program Consultant for Rose-Hulman Ventures and Millennium Services Research & Teaching Focus: Dr. Chenoweth emphasizes social skills in engineering education, advocating for holistic student development and alignment with industry needs. His work includes advancing ethical practices, team dynamics, and innovative pedagogical methods like service learning and flipped classrooms. He is also involved in curriculum design, including the Rose-Hulman MSSE program and software architecture courses.

• Software Engineering
• Systems Architecture
• Teaching Systems Durability
• +5 more

Robert T. Grimm Jr. is a Professor of the Practice and the inaugural Levenson Family Chair in Philanthropy and Nonprofit Leadership at the University of Maryland's School of Public Policy. As Director of the Do Good Institute, he leads a campus-wide initiative empowering students to drive social impact through programs like the Do Good Challenge and the Food Recovery Network. His work has spurred transformative partnerships, resulting in new faculty endowments, facilities like Thurgood Marshall Hall, and initiatives such as the Do Good Accelerator. He holds a PhD from Indiana University, Bloomington, and has served in senior roles at AmeriCorps, including developing the Social Innovation Fund. His research focuses on philanthropy, nonprofit leadership, and civic engagement, with notable contributions to understanding volunteerism trends and charitable behavior in the U.S. Affiliations: Civic Innovation Center, Do Good Institute Leadership, NASPAA Board Key Achievements: Founded the Food Recovery Network, launched the Do Good Challenge, and contributed to national policy through congressional testimony. His awards include the 2021 Regents Award for Public Service Excellence and the 2019 Distinguished Alumni Award from Indiana University. Grimm’s research bridges academic inquiry with practical solutions, shaping nonprofit strategies and student leadership programs. Grants and partnerships have enabled programs addressing food waste, mental health access, and environmental conservation. The Do Good Institute’s ventures include 400 menstrual product dispensers on campus and partnerships saving millions of pounds of food annually. Labs/Teams: Directs the Do Good Institute and collaborates with the Do Good Lab, focusing on actionable research to advance social innovation and nonprofit efficacy.

• Nonprofit Management & Leadership
• Philanthropy
• Social Innovation
• +3 more

Eric Jessup is a Research Professor and Director of the Freight Policy Transportation Institute at Washington State University's School of Economic Sciences. He holds a Ph.D. in Agricultural Economics from WSU (1998), an M.S. and B.S. in Agricultural Economics from the University of Kentucky (1992, 1988). His career includes roles at Informa Economics, Albert-Ludwig-University (Germany), and American Express. His research focuses on transportation modeling, freight systems, applied econometrics, and geo-spatial analysis. Notable awards include the 2008 Transportation Research Forum Best Paper Award and recognition as an Eno Fellow (1994). Research interests emphasize optimizing freight logistics, transportation policy, and infrastructure investment. Recent work addresses pandemic impacts on global trade, truck parking safety, and rail rate dynamics. He has directed major freight policy initiatives, including the Freight Policy Transportation Institute and the PacTrans Workforce Development Institute. Over 80 publications span journals like Transportation Research Forum and Journal of the Transportation Research Forum , with a focus on GIS applications, supply chain resilience, and safety critical events. Education: Ph.D. Agricultural Economics, WSU, 1998 M.S. Agricultural Economics, University of Kentucky, 1992 B.S. Agricultural Economics, University of Kentucky, 1988 Awards: 2008 TRF Best Paper Award 2006 Best Paper Award (Italy) 1996 Northwest UTC Student of the Year 1994 Eno Transportation Fellowship Labs/Teams: Leads the Freight Policy Transportation Institute and collaborates with the Transportation Research Group at WSU. Engaged with national initiatives like PacTrans and the Idaho Statewide Freight Data Project. Grants and advising are central to his work, though specific student advisees are not listed. His research bridges academia and industry, addressing real-world challenges in freight logistics, environmental policy, and transportation safety.

• Transportation Modeling and Economics
• Freight Systems Modeling
• Applied Econometrics
• +3 more

Alva L. Couch is an Associate Professor at Tufts University's School of Engineering, Department of Computer Science, with a career spanning over 30 years. His work bridges network/system administration, autonomic computing, and hydrologic data science, focusing on scalable solutions for data management and automated system administration. Education: Ph.D. in Mathematics (1988), B.S. in Architecture (1978), and B.A. in Bassoon/Contrabassoon Performance (1978). Research Interests His research centers on: Network and System Administration: Tools like SLINK, Maelstrom, and Babble for dependency analysis, cloud migration, and policy enforcement. Geo-informatics: MEDFORD metadata language and HydroShare platform for hydrologic data curation and discovery. Autonomic Computing: Promise theory, convergent operators, and closure models for self-managing systems. Recent Work Trends His 2024-2018 publications emphasize: Cloud-based hydrologic data management (AnVILMEDFORD, HydroShare) Metadata standards for interdisciplinary research Machine learning for system administration Agent-based resource sharing models Scientific Awards Liebner Teaching Award (1996) Seymour Simches Advising Award (2017) Best Paper Awards: LISA 1996, AIMS 2008, LISA 2001 LISA 2000 Best Student Paper (with Michael Gilfix) Contributions He developed key software like Peep (network auralization) and Slink (configuration management), supported by NSF grants and industry partnerships. His work with CUAHSI's Water Data Center shapes national hydrologic data infrastructure. He also advocates for science education and privacy in computing.

• Network and System Management
• Geo-informatics
• Data Management
• +9 more

Dr. Jonathan Buonocore is an Assistant Professor in Environmental Health at the Boston University School of Public Health and Core Faculty at the Institute for Global Sustainability (IGS). His research evaluates health impacts of energy systems, focusing on climate mitigation strategies' co-benefits, equity, and unintended consequences. He holds a Sc.D. and MS from Harvard School of Public Health and a BS from Clarkson University. Education: Sc.D., Environmental Science & Risk Management, Harvard School of Public Health MS, Environmental Health, Harvard School of Public Health BS, Environmental Science & Policy, Clarkson University Research Interests: Dr. Buonocore examines energy systems through integrated frameworks combining health impact assessment, risk modeling, and energy policy analysis. Key areas include: Health co-benefits of renewable energy expansion Air pollution consequences of fossil fuel infrastructure Environmental justice in energy transitions Geoengineering health risks Recent work analyzes electrification policies, methane leakage risks, and extreme climate interventions. Articles emphasize spatial equity in exposure to oil/gas development and transportation policies. Grants & Advising: His research is supported by grants focusing on energy-climate-health linkages. He advises on projects related to decarbonization pathways and environmental justice. Labs & Collaborations: Associated with IGS and prior work at Harvard's Center for Climate, Health, and Global Environment. Collaborates with environmental justice organizations on policy-relevant research.

• Environmental Health
• Climate Mitigation Strategies
• Energy Policy Analysis
• +4 more