Data-driven Infrastructure Management Professors and Supervisors | ApplySharif

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Stephen LeeView profile

Assistant Professor

University of PittsburghUnited States

Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.

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Joshua BleibergView profile

Assistant Professor

University of PittsburghUnited States

Joshua Bleiberg is an Assistant Professor of Education Policy at the University of Pittsburgh School of Education, specializing in quantitative methods to assess causal effects of education policies on marginalized communities. His research focuses on standards-based reforms (e.g., NCLB, Common Core), inequality in education, quasi-experimental policy analysis, education politics, and teacher labor markets. Ph.D. in Leadership, Policy, and Organization, Vanderbilt University (Peabody College) Master’s in Education Policy and Management, Harvard University B.A. in Political Science, Vassar College Childhood Education Teacher Certification, New York His recent publications analyze state takeovers of school districts, teacher layoffs, and pandemic-era education systems. Awards include the Emerging Education Policy Scholar (Fordham Institute, 2021) and Education Policy Academy Fellow (2018). Bleiberg also engages in professional service roles at the Annenberg Institute and Vanderbilt University.

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Brian M DealView profile

Professor

University of Illinois Urbana-ChampaignUnited States

Brian M Deal serves as a Professor of Landscape Architecture within the School of Architecture at the University of Illinois at Urbana-Champaign, holding additional appointments in Urban and Regional Planning, the European Union Center, the Center for Latin American and Caribbean Studies, and the National Center for Supercomputing Applications (NCSA). His expertise bridges sustainable planning theory, energy systems, and spatial modeling to develop practical decision-support tools for community development and climate resilience. His educational foundation includes a PhD in Regional Planning (2002), Master of Architecture (1997), and BS in Architectural Studies (1983), all earned at the University of Illinois at Urbana-Champaign. Prior academic experience encompasses a decade of professional architecture practice and senior research at the Army Construction Engineering Research Laboratory (CERL), where he specialized in sustainable military facility design using spatial simulation. Deal's research centers on sustainable planning systems and climate adaptation, with current projects examining urbanization impacts on Korean rural amenities, advancing the University of Illinois' climate action plan (iCAP), and developing next-generation 'sentient' planning support systems. His work integrates land-use modeling, energy systems analysis, and decision-support technologies to address complex urban environmental challenges through interdisciplinary collaboration. Recent publications reveal a pronounced shift toward data-driven sustainability solutions, featuring AI applications for carbon-neutral planning, multi-scaled green infrastructure optimization, and socio-ecological modeling. Key themes include urban carbon sequestration, post-pandemic park dynamics, and climate-resilient coastal design, demonstrating consistent innovation in translating theoretical frameworks into actionable planning tools for real-world implementation. Professor Deal's scientific awards and honors were not detailed in the provided text. As faculty mentor to the Student Sustainability Committee and chair of campus sustainability planning efforts, Deal actively guides student development and institutional policy. His leadership of the LEAM Laboratory and SEDAC involves managing research grants focused on urban resilience, energy systems, and climate adaptation, fostering partnerships with government agencies and community organizations to deploy planning tools that directly impact community decision-making processes. Deal directs the Land Use Evolution and Impact Assessment Modeling (LEAM) Laboratory and Smart Energy Design Assistance Center (SEDAC), leading interdisciplinary teams in developing spatial simulation models and decision-support systems. His operational leadership extends to authoring the university's climate action plan and chairing campus sustainability committees, positioning him at the nexus of academic research, institutional policy, and community engagement for sustainable urban futures.

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Echu LiuView profile

Professor

Saint Louis UniversityUnited States

Echu Liu is a Professor in the Department of Health Management and Policy at the College for Public Health and Social Justice, Saint Louis University. He also serves as the Director of the Ph.D. in Public Health Studies program, contributing significantly to academic leadership and public health education. Education: Ph.D. in Economics, University of Southern California, 2006 M.B.A. in Finance, California State University, Los Angeles, 2000 M.A. in Economics, National Taiwan University/University of Southern California, 1995/2003 B.A. in Economics, National Taiwan University, 1994 Dr. Liu's research focuses on health policy, health economics, data analytics, and health insurance literacy . His work examines how socioeconomic factors, health literacy, and insurance understanding influence healthcare access, financial burden, and health outcomes across diverse populations, including international students, older adults, and racial minorities. His interdisciplinary approach integrates economics, public health, and biostatistics to inform policy and improve health equity. His recent publications (2009–2025) reflect a consistent trajectory in health economics and policy analysis , with a strong emphasis on health insurance literacy, medical debt, pandemic behavior, and global health disparities . The studies employ rigorous econometric and statistical methods, often using large national surveys from the U.S., China, and India. Key themes include the impact of policy interventions, socioeconomic determinants of health, and behavioral responses to healthcare systems. Professional Service: Associate Editor, Health Economics Section, Frontiers in Public Health Dr. Liu teaches Biostatistics, Health Care Economics, and Healthcare Financial Management , equipping students with analytical and financial tools for public health leadership. While specific advisees are not listed, his role as Ph.D. program director and frequent collaboration with researchers suggests active mentorship. His research has been supported by institutional and likely external funding, though specific grants are not detailed. He maintains an active scholarly presence through high-impact journal publications and editorial contributions. Laboratory and Research Teams: While no formal lab is mentioned, Dr. Liu leads and collaborates with interdisciplinary research teams focused on health policy analysis, data-driven public health, and socioeconomic determinants of health. His work often involves partnerships with public health scholars, economists, and data scientists.

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Dong-Hyuk KimView profile

Lecturer

University of GeorgiaUnited States

Dong-Hyuk Kim, Ph.D., is a Limited Term Instructor at the University of Georgia (UGA), affiliated with the School of Environmental, Civil, Agricultural & Mechanical Engineering within the College of Engineering. His research focuses on advancing pavement management systems through big data analytics, machine learning, and IoT technologies. Prior to joining UGA, he conducted research at a government-funded institute in South Korea and held a Postdoctoral Researcher position in the U.S. Education: Ph.D. in Civil Engineering Dr. Kim’s expertise bridges theoretical and applied engineering, aiming to optimize infrastructure management through innovative data-driven approaches. His work integrates emerging technologies to address real-world challenges in transportation systems. Though no specific publications or grants are listed, his current role at UGA’s Boyd Research and Education Center suggests active involvement in cutting-edge engineering research.

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Funlade SunmolaView profile

Senior Lecturer

University of HertfordshireUnited Kingdom

Funlade Sunmola is a Principal Lecturer in Manufacturing and Industrial Engineering at the University of Hertfordshire , affiliated with the School of Engineering and Computer Science and the Department of Engineering and Technology. He holds a PhD in Computer Science (Artificial Intelligence and Robotics) from the University of Birmingham and has nearly 40 years of professional experience across civil engineering, manufacturing, healthcare, and academia. Education: BEng (Hons) in Civil Engineering, Ahmadu Bello University MSc in Industrial Engineering, University of Ibadan MA in Accounting and Finance, Birmingham City University MPhil in Manufacturing Engineering, University of Birmingham PhD in Computer Science, University of Birmingham Research Interests: Focuses on Applied Artificial Intelligence , Sustainable and Smart Industries , and Industry 4.0 . Key areas include supply chain visibility, blockchain integration, machine learning applications in manufacturing, and virtual engineering. Leads the Duncan Calder Virtual Engineering Lab and oversees MSc Online Engineering Programmes. Grants & Projects: PI of LINK: Digital Direct Connection for Salvage Construction Materials (Circular Economy) PI of N-BICC: Cassava Innovation Deployment Co-I in Solar Cool System (So-Cool) for Smallholder Farmers Labs/Teams: Heads the Duncan Calder Virtual Engineering Lab , focusing on immersive technologies and virtual product design.

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Omar HegazyView profile

Professor

Vrije Universiteit BrusselBelgium

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

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Marco Martino RossoView profile

Research Fellow

Polytechnic University of TurinItaly

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

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Angelika KrehlView profile

Professor

Hochschule Niederrhein University of Applied SciencesGermany

Professor Angelika Krehl serves as Professor for Economics, regional and sectoral structural policy and Director of the NIERS Institute (Lower Rhine Institute for Regional and Structural Research) at Niederrhein University of Applied Sciences since 2020. Her academic leadership spans regional economics, urban spatial structure analysis, and sustainability research within the Department of Economics. Her research focuses on theoretical foundations and empirical analysis methods of urban spatial structures, regional economics, economic geography, and GIS-based regional research with emphasis on sustainability aspects. Key methodologies include polycentricity measurement, density pattern analysis, and integrated spatial modeling using remote sensing data. Her work bridges urban morphology with economic development processes. Recent publications reveal strong trends in polycentric urban systems analysis, corporate regional responsibility frameworks, and sustainable land use economics. Over 70% of her recent work examines German metropolitan regions through morphological polycentricity lenses, with increasing focus on sustainability transitions and social innovation mechanisms since 2020. Methodological innovation in GIS integration and spatial metrics development characterizes her publication trajectory. Professor Krehl leads multiple major research initiatives including RediStar (diversity-sensitive startup funding), AUFBRUCH (sustainable bioeconomy transformation), R(h)einTex (textile recycling innovation), and R³ (corporate regional responsibility). Her institutional leadership extends to directing NIERS Institute and serving on the university's Advisory Board for Research and Transfer. As Director of NIERS Institute, she oversees collaborative research teams focused on regional structural policy, with particular emphasis on lignite phase-out governance, sustainable learning projects, and regional innovation ecosystems. Her work integrates academic research with practical policy implementation through close partnerships with regional stakeholders.

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Leila Moslemi NaeniView profile

Senior Lecturer

University of Technology SydneyAustralia

Dr. Leila Moslemi Naeni is a Senior Lecturer at the University of Technology Sydney (UTS), School of Built Environment, with a dual appointment in the Faculty of Design, Architecture and Building. She previously served as a Lecturer at UTS (2016-2018) and Sessional Lecturer at Curtin University (2015-2016). PhD in Computer Science (University of Newcastle, 2017) MSc in Industrial Engineering (Sharif University of Technology, 2007) BSc in Industrial Engineering (Iran University of Science and Technology, 2004) Her research focuses on project management under uncertainty, integrating fuzzy systems and mathematical modeling with applications in construction, ESG reporting, and disruptive technologies. She developed innovative methods for statistical control charts in project monitoring and leads research on leveraging blockchain and digital tools for sustainable infrastructure. Recent publications highlight her work on resource-constrained scheduling algorithms, ESG integration in megaprojects, and gamification in project management education. She serves as Review Editor for Frontiers in Environmental Science and on the Editorial Board of Smart and Sustainable Built Environment . 2016 PMI NSW Research Award 2022 Walt Lipke Award 2013 FEBE Postgraduate Research Prize As an active research mentor, she supervises PhD students in machine learning applications, disaster management technologies, and social infrastructure investments. Her teaching emphasizes simulation-based learning, collaborating with Oulo University (Finland) to quantify educational value.

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James SalamyView profile

Lecturer

Monash UniversityAustralia

James Salamy is a part-time Lecturer in the Department of Electrical and Computer Systems Engineering at the College of Engineering, Monash University. He actively contributes to both research and teaching initiatives, with a focus on photonics and engineering education. His work bridges technical innovation with pedagogical advancements, ensuring holistic development of educational strategies. Current Affiliation: Monash University, College of Engineering Academic Role: Lecturer Status: Part-time faculty member His research spans two primary domains: photonics and engineering education . In photonics, he investigates laser stabilization techniques using microring resonators for dense wavelength-division multiplexing (WDM) systems, aiming to improve optical network scalability and reliability. In education, he explores factors influencing student success, including mental health literacy, onboarding experiences, and the role of failure in academic growth. Additionally, he has contributed to cloud-based machine learning infrastructure optimization. Recent research trends emphasize interdisciplinary collaboration, particularly between Monash University and the University of Warwick, focusing on scalable automated feedback systems for cross-campus education. His technical work on self-injection locking mechanisms has implications for temperature-stable laser systems, while his educational studies address equity and pedagogical innovation. While no scientific awards are documented in the provided material, his 2024-2025 projects include research on Research Cross Campus Peer Instructions and scalable feedback systems, demonstrating his commitment to enhancing engagement in information engineering education.

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Evan ApfelbaumView profile

Professor

Boston UniversityUnited States

Evan Apfelbaum is a Professor of Management & Organizations at Boston University's Questrom School of Business, previously holding positions as W. Maurice Young Career Development Professor at MIT Sloan School of Management and Team and Group Research Fellow at Northwestern University's Kellogg School. His academic career bridges social psychology and organizational behavior with a focus on evidence-based approaches to workplace dynamics. Educational background: B.S. in Psychology and Music from Union College Ph.D. in Social Psychology from Tufts University Apfelbaum's research centers on diversity, inclusion, and intergroup relations within organizational contexts, examining how racial and gender biases manifest in workplaces through field experiments and longitudinal studies. He investigates the psychological mechanisms behind diversity initiatives, social norms in racially diverse environments, and transparency in reporting diversity metrics, consistently translating theoretical insights into practical business applications for fostering equitable workplaces. Analysis of his 15 most recent publications (2017-2024) reveals a cohesive trajectory examining diversity transparency, barriers to gender equality, and multiculturalism effects across multiple organizational settings. His work demonstrates methodological rigor through field experiments in real business environments, with increasing focus on data-driven interventions and longitudinal impacts of diversity initiatives in corporate contexts. Major recognitions include: Gordon Allport Intergroup Relations Prize James H. Ferry Jr. Grant for Innovation in Research Early Researcher Award from the American Psychological Association Top 40 Business Professors Under 40 by Poets & Quants Apfelbaum's research has secured significant funding including the James H. Ferry Jr. Grant, supporting innovative field studies on diversity interventions. While specific student advisees aren't listed, his collaborative publications with junior researchers across institutions indicate active mentorship. His work frequently involves cross-institutional teams examining large-scale diversity initiatives in corporate environments. As former Team and Group Research Fellow at Kellogg School of Management, Apfelbaum contributed to group dynamics research infrastructure. At Boston University, he participates in Questrom School's organizational behavior research ecosystem, focusing on experimental approaches to diversity challenges though no dedicated laboratory is specified in current materials.

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Kalle LyytinenView profile

Professor

Case Western Reserve UniversityUnited States

Kalle Lyytinen is the Iris S. Wolstein Professor of Management Design and Distinguished University Professor at Case Western Reserve University's Weatherhead School of Management, where he also serves as Faculty Director of the Doctor of Business Administration Program. He is a Professor in the Department of Design & Innovation. Lyytinen received his PhD in 1986 from the University of Jyvaskyla, Finland, following an Econ Lic (1982) and MS (1978) from the same institution. He was initially appointed to Case Western Reserve University in 2001. Lyytinen's research focuses on digital innovations and how they shape organizations and industries. His work helps organizations identify, absorb, manage, implement and transform through digital innovations. His specific research areas include the content and logic of digital innovation, digital innovation regimes and infrastructures, organizing processes of digital innovation, and how digital technology shapes engineering and design practices. He has also studied the adoption of new technologies, particularly mobile technologies, new collaboration forms enabled by technologies, and methods for determining large-scale system requirements. With over 450 publications in prestigious journals including Information Systems Research, Management Information Systems Quarterly, and Organization Science, he is among the top five scholars in the information system field by citations (51,000, h-index 100). Lyytinen's recent publications demonstrate his continued leadership in the digital innovation space, with research spanning digital platforms, technical debt, software complexity, and socio-technical systems. His work consistently bridges theoretical frameworks with practical applications across multiple industries and contexts. Distinguished University Professor 2017 Case Western Reserve University Honorary Doctorate 2017 Lappeenranta University of Technology, Finland Enduring Research Impact Award 2016 Weatherhead School of Management Honorary Doctorate 2016 Copenhagen Business School LEO Award 2013 Association for Information Systems Best Paper Awards from AIS (ICIS), HICSS and AoM (OCIS) Lyytinen has served as Vice President for the Association for Information Systems, Senior Editor for Information Systems Research, and Editor-in-Chief for the Journal of the Association for Information Systems. He has held editorial board positions in all major information systems and several organization theory and management journals. His global academic engagements include positions at London School of Economics, Erasmus University, University of Sorbonne, LUISS University, University of Cape Town, Copenhagen Business School, City University of Hong Kong, Auckland University School of Business, Umea University, Aalto University, and Oslo University.

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Jonathan L. AuerbachView profile

Assistant Professor

George Mason UniversityUnited States

Jonathan L. Auerbach is an Assistant Professor in the Department of Statistics at George Mason University . His work bridges statistics and public policy , focusing on causal inference , longitudinal data analysis , and official statistics . He has contributed to understanding urban myths (e.g., New York City rat populations, building height trends), election fraud , and policy evaluation for initiatives like Vision Zero. Education : PhD in Statistics (Columbia University, 2020), BA in Economics (Cornell University, 2010) Research Interests include data science , causal inference , survey methodology , and urban analytics . His recent work addresses climate change impacts on cherry blossom seasons, federal data security , and street vendor demographics in New York City. Scientific Awards include the 2024-2025 President of Washington Statistical Society , 2020-2021 American Statistical Association Science Policy Fellow , and 2019 Howard Levene Outstanding Teaching Award . He has served as an instructor for courses like Capstone in Statistics and Causal Inference , emphasizing technical communication and data ethics .

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Willis LangView profile

Researcher

University of South CarolinaUnited States

Willis Lang is a Researcher at Microsoft , focusing on Database Systems , Cloud Computing , and Data Management . His work bridges academic research with industrial applications in cloud databases. Education: PhD in Computer Sciences - Databases (University of Wisconsin-Madison, 2012) MS in Computer Science and Engineering - Databases (University of Michigan, 2008) BMath in Honours Computer Science - Bioinformatics (University of Waterloo, 2006) Research Interests: Willis’s research spans Database Systems , Cloud Computing , and Energy Efficiency , with a focus on scalability, tenant management, and predictive provisioning. His work addresses real-world challenges in cloud database optimization, multi-tenancy, and power-aware systems. Recent Publications highlight trends in Cloud Database Efficiency , including auto-scaling, tenant placement, and energy-conscious cluster design. His contributions often involve collaboration with industry leaders like Microsoft and Jignesh M. Patel. Scientific Awards: Best Paper Award, DaMoN 2010 Best Presented Award, Midwest Database Research Symposium 2007 Service: Willis has served as a reviewer for conferences like SIGMOD, VLDB, and journals including VLDBJ and JPDC. His expertise is sought in cloud and database research communities.

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