جستجوی استاد راهنمای دانشگاهی

• Bioinformatics
• Computer Architecture
• Genome Analysis
• +۳ مورد دیگر

Can Firtina is a Lecturer at ETH Zurich's Department of Information Technology and Electrical Engineering and a Senior Researcher in the SAFARI Research Group. His research focuses on accelerating genome analysis through algorithm-architecture co-design, particularly leveraging hardware-software integration for bioinformatics workloads. He holds a PhD in Electrical and Computer Engineering from ETH Zurich and degrees from Bilkent University. As of Fall 2025, he will join the University of Maryland, College Park (UMD) as an Assistant Professor of Computer Science. Education: PhD in Electrical and Computer Engineering (D-ITET), ETH Zurich MSc in Computer Engineering, Bilkent University BSc in Computer Engineering, Bilkent University Research Interests: His work bridges bioinformatics and computer architecture, emphasizing real-time, accurate, and energy-efficient genome analysis. Key areas include raw nanopore signal processing (e.g., RawHash, Rawsamble), hardware-software co-design for bioinformatics, and scalable metagenomic analysis. His algorithms address noise mitigation and accelerate applications like assembly polishing (Apollo) and alignment remapping (AirLift). Labs & Collaborations: He leads research within the SAFARI Group, collaborating with institutions like NVIDIA, AMD, and Huawei. His contributions span tools like GenASM (approximate string matching) and BLEND (fuzzy seed matching). He also organizes workshops on bioinformatics acceleration and serves on review boards for venues like ISMB and RECOMB. Future Directions: Future work includes end-to-end raw signal analysis without basecalling, reference-free genome assembly, and leveraging emerging hardware for real-time field applications. He will expand these efforts at UMD, hiring students in Fall 2025.

Todd Collinsمشاهده پروفایل

استاد

• Political Science
• Legal Studies
• Judicial Behavior
• +۵ مورد دیگر

Todd Collins is a Professor of Political Science and Public Affairs at the University of Western Carolina’s College of Arts and Sciences. He holds a Ph.D. in Political Science from the University of Georgia, a JD from the University of North Carolina at Chapel Hill, and a BA from the same institution. His research focuses on judicial decision-making, legal system biases, and the intersection of religion, politics, and policy. Key research interests include racial and gender disparities in legal contexts, media’s role in shaping public perception of courts, and religious influences on legislative behavior. Collins has extensively studied Supreme Court dynamics, appellate processes, and the interplay between public opinion and judicial rulings. His work bridges empirical legal studies with sociological and political frameworks, addressing issues such as courtroom fairness, attorney collaboration barriers, and the impact of religious affiliations on policymaking. Notable projects include analyses of case salience metrics and the role of precedent in judicial reasoning.

• Supply Chain Management
• Operations Management
• Business Analytics
• +۷ مورد دیگر

Rameshwar Dubey is a Full Professor of Operations Management at Montpellier Business School (France), Visiting Professor at Liverpool John Moores University (UK), and Adjunct Professor at Indian Institute of Management Jammu (India). He holds editorial roles across multiple journals, including Senior Associate Editor of the International Journal of Logistics Management and Associate Editorships at Journal of Humanitarian Logistics & Supply Chain Management, International Journal of Information Management, and others. His research focuses on supply chain resilience, humanitarian operations, sustainable practices, and digital transformation in crisis scenarios. He has been recognized as a top 1% cited scholar in Web of Science and among the top 200 in SCOPUS for Business Management and Operations Research. Dr. Dubey’s academic contributions include over 75 journal reviews, supervision of seven PhD and five DBA students, and examination of 37 theses globally. His work emphasizes applications in healthcare logistics, disaster relief, and emerging technologies like AI and IoT in supply chains. He has taught at institutions including the University of Leeds, UNESP Brazil, and Southern University of Science and Technology China. Awards: Outstanding Reviewer Awards (IJPE, JBR, JCP), Best Reviewer Awards (JHLSCM 2014/2016, MD 2018), and a 2019 Lifetime Achievement Title for contributions to supply chain science. Teaching: Logistics, Operations Management, Analytics, Research Methodology, and Data Science. Labs/Teams: Editorial leadership in over seven international journals, active participation in global SCOR and B2B risk frameworks.

Abraham Silberschatzمشاهده پروفایل

استاد

• Database Systems
• Operating Systems
• Storage Systems
• +۳ مورد دیگر

Abraham Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He previously served as Vice President of the Information Sciences Research Center at Bell Laboratories and held a chaired professorship at the University of Texas at Austin. His research focuses on database systems, operating systems, and network management. Silberschatz has advised over a dozen PhD students, many now in academia and industry. Education: Ph.D., Computer Science, Stony Brook University (SUNY) Research Interests: His work spans database systems, operating systems, storage systems, and network management. Notable contributions include foundational textbooks like Operating System Concepts and Database System Concepts , which have become industry standards. He has also developed innovative systems like DataPlay and contributed to projects such as NetInventory. Publications: His 15+ years of research include influential papers on database architecture, network routing, and distributed systems. Recent work explores leveraging non-volatile memory technologies in systems design. Awards: ACM Karl V. Karlstrom Outstanding Educator Award (1998) IEEE Taylor L. Booth Education Award (2002) VLDB Test of Time Award (2019) Multiple Bell Laboratories President's Awards for innovation Grants & Patents: Recipient of over two dozen grants and over four dozen patents, including foundational IP in multimedia storage and distributed systems. His team's HadoopDB project merged MapReduce and DBMS technologies. Labs/Teams: Collaborates with Prof. Robert Soulé on projects in database systems and networking, focusing on next-gen memory technologies. Active in mentoring graduate students and postdocs in their research group.

• Quantum Technologies
• Quantum Optics
• Semiconductor Epitaxy (MBE/MOVPE)
• +۴ مورد دیگر

Dr. Emanuele Pelucchi is a Research Professor and Head of the Epitaxy and Physics of Nanostructures (EPN) group at Tyndall National Institute, University College Cork. His research focuses on quantum technologies, epitaxial growth (MBE/MOVPE), quantum dot physics, and photonic integration. He leads a world-class MOVPE facility, pioneering developments in site-controlled quantum dots and entangled photon emitters. Pelucchi's work has resulted in over 129 international publications with an h-index of 28 (Scholar), including contributions to Nature Photonics and NanoLetters. He has held a Science Foundation Ireland Principal Investigator grant since 2006, establishing his group at Tyndall in 2007. His expertise spans semiconductor nanostructures, including III-V materials and quantum optics. Pelucchi actively reviews for top journals and chairs international conferences, contributing to the field's academic discourse. His MOVPE laboratory is recognized as a key resource for III-V materials, serving as a secondary supplier to the UK National Centre for III-V Materials. Pelucchi's research bridges fundamental physics and applied photonics, driving advancements in quantum information processing and optoelectronic devices.

Olli Varisمشاهده پروفایل

استاد

• Water Resources Management
• Sustainable Development
• Climate Change Adaptation
• +۵ مورد دیگر

Olli Varis is an Aalto Distinguished Professor at Aalto University's Department of Built Environment, specializing in Water and Environmental Engineering. He holds adjunct professorships at Asian Institute of Technology (Thailand) and has served as Vice Dean for Research & Innovation at Aalto School of Engineering (2013–2018). His expertise spans water resources management in developing economies, climate change impacts, and transboundary water governance. Education: Doctoral degree in Engineering (Helsinki University of Technology, 1991), Licentiate (1988), and dual Master's degrees in Agriculture (University of Helsinki, 1986) and Engineering (Helsinki University of Technology, 1984). Research focuses on sustainable development goals (SDGs), particularly water-energy-food nexus dynamics, urbanization impacts, and global river basin vulnerabilities. Key interests include flood early warning systems, migration-environment linkages, and Asian transboundary water challenges. Notable awards include Aalto Excellence Awards (2018, 2021), Best Research Paper 2023, and Environmental Research Letters' Best Paper 2010. Over 350 publications include works on China's water risks, Nepal's flood resilience, and global migration drivers. Active in UNESCO, WMO, and UNU/WIDER. Recent projects address urbanization's environmental pressures, interdisciplinary education challenges, and东南亚数字经济的崛起与挑战 (Vietnam's digital economy challenges). Leads the Water and Environmental Engineering research group, supervising 12 theses. Involved in public outreach,如芬兰赫尔辛基大学的媒体参与案例.

Vladimir Bulovićمشاهده پروفایل

استاد

• Nanotechnology
• Renewable Energy
• Photonics
• +۴ مورد دیگر

Vladimir Bulović is a Professor of Electrical Engineering and Computer Science at MIT, holding the Fariborz Maseeh Chair in Emerging Technology. He serves as Founding Director of MIT.nano, a 20,000 m² nanofabrication and prototyping facility. His research focuses on nanoscale materials, renewable energy, and optoelectronics, with emphasis on scalable solar technologies and printed electronics. Education: B.S.E. and Ph.D. in Electrical Engineering from Princeton University. Research Interests: Development of thin-film photovoltaics (perovskites, organic PVs), energy-efficient optoelectronics, and advanced manufacturing techniques. His work bridges nanotechnology with real-world applications, such as transparent solar cells and flexible electronics. Key innovations include vapor transport deposition (VTD) for perovskite solar cells and scalable printed electronics. Publications: Over 250 articles (45,000+ citations) focus on perovskite materials, semiconductor fabrication, and optoelectronic device optimization. Recent trends emphasize machine learning-driven materials design and stability enhancement strategies for photovoltaics. Awards: MacVicar Fellowship (2018), Top 1% Highly Cited Researcher (2018) Advising & Grants: Co-founded Ubiquitous Energy, Kateeva, and QD Vision. Led projects on grid-edge solar solutions and MIT-Eni Solar Frontiers Center. Served as Associate Dean for Innovation and Director of MIT’s Innovation Initiative (2013–2018). Labs/Teams: Directs the Organic and Nanostructured Electronics Lab and oversees MIT.nano’s interdisciplinary research programs.

Mark Thouinمشاهده پروفایل

استاد بالینی

• Information Systems Education
• Experiential Learning
• Postsecondary Leadership
• +۳ مورد دیگر

Mark Thouin is a Clinical Professor of Information Systems and Associate Dean for Graduate Programs - Academic Operations at The University of Texas at Dallas (UT Dallas), Jindal School of Management. He holds an MBA from George Mason University and a PhD from Texas Tech University. His research focuses on IT business value, experiential learning, and postsecondary leadership, with notable contributions to information systems curriculum development and agile methodologies. He teaches courses like Business Analytics with SAS and Agile Project Management. His awards include the Outstanding Undergraduate Teaching Award from UT Dallas Jindal School of Management and AITP Region 3 Star Performer of the Year. His recent articles emphasize competency models in information systems education, experiential learning simulations for agile methodologies, and curriculum standards through collaborations like ACM/AIS IS2020 initiatives. Education: PhD, Texas Tech University, 2007 MBA, George Mason University, 2004 BS, Virginia Tech, 1992 Professional Organizations: Association for Information Systems (AIS) Society for Information Management Association for Computing Machinery His work bridges academic curriculum design with industry needs, particularly through competency-based frameworks and experiential learning approaches. He has contributed to global standards for information systems graduate programs (MSIS 2016) and undergraduate curriculum guidelines (IS2020).

Lei Leiمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Reinforcement Learning
• Internet of Things (IoT)
• +۵ مورد دیگر

Lei Lei is an Associate Professor at the University of Guelph, specializing in Computer Engineering. Her research focuses on Machine Learning/Deep Reinforcement Learning, Internet of Things (IoT)/Internet of Vehicles (IoV), Mobile Edge Computing, and Smart Grid Optimization. She explores cutting-edge applications in energy-efficient systems, autonomous vehicles, and intelligent transportation networks. Her work integrates advanced AI techniques with real-world challenges in communication and control systems. Key research areas include optimizing electric vehicle charging schedules using hierarchical deep reinforcement learning and enhancing vehicular networks through 6G communication protocols. She has pioneered methods for joint communication-control systems, securing federated learning models, and developing robust resource allocation strategies in IoT and edge computing environments. Lei Lei’s publications emphasize interdisciplinary solutions, bridging computer science, electrical engineering, and transportation systems. Her recent work addresses challenges in smart grid security, multitimescale control systems, and the application of AI tools like ChatGPT in connected vehicles. She is affiliated with the AI Affiliated Faculty at the University of Guelph, reflecting her contributions to artificial intelligence research.

• Energy Efficiency in Software
• Multicore Memory Systems
• Hardware/Software Co-Design
• +۳ مورد دیگر

Arrvindh Shriraman is an Associate Professor and Program Director of Software Systems at Simon Fraser University's School of Computing Science in Surrey. His research focuses on energy-efficient software, multicore memory systems, and optimizing hardware/software interfaces for parallel programming. He holds a Ph.D. (2010) and M.S. (2006) in Computer Science from the University of Rochester, and a B.Eng. (2004) from the University of Madras. He teaches courses on parallel programming and energy-conscious software design. His research interests include synchronization mechanisms for domain-specific architectures, cache optimization, and FPGA-based acceleration. He has contributed to frameworks like Mu-grind for HLS-generated RTL instrumentation and TAPAS for parallel accelerator generation. Notable projects include RANGE-BLOCKS for synchronization in domain-specific systems and TapeFlow for gradient computation in neural networks. His work emphasizes real-time verification of autonomous systems and safety-critical trajectory planning for underwater vehicles. Shriraman collaborates closely with the Tangent Lab, exploring cutting-edge solutions in hardware-software co-design and embedded systems. His teaching and research bridge theoretical computer science with applied engineering challenges, addressing scalability, efficiency, and safety in modern computing systems.

Retsef Leviمشاهده پروفایل

استاد

• Food Supply Chain Analytics
• Supply Chain Optimization
• Health Systems
• +۷ مورد دیگر

Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management, affiliated with the MIT Operations Research Center. He co-directs the Leaders for Global Operations (LGO) Program. His work focuses on data-driven decision models for healthcare systems, supply chain optimization, and risk management. Levi holds a PhD in Operations Research from Cornell University and has led industry collaborations with major hospitals and organizations like the FDA and Walmart Foundation. Education: PhD in Operations Research, Cornell University, 2005 Bachelor’s in Mathematics, Tel-Aviv University, 2001 Research Interests: Levi’s research addresses complex decision-making under uncertainty in healthcare, supply chains, and logistics. Key areas include food safety analytics, risk-based sampling, and predictive modeling for zoonotic diseases. He designs algorithms for inventory control, appointment scheduling, and healthcare resource allocation. Articles Overview: Recent work spans AI-driven epidemiological models, supply chain cybersecurity, and agricultural market interventions. His articles emphasize practical applications of operations research in healthcare and public health. Awards: NSF Career Grant INFORMS Optimization Prize (2008) Wagner Prize (2013) Harold W. Kuhn Award (2016) Advising & Grants: Advised 10 PhD students and 34 master’s students. Led multi-million-dollar projects like the Walmart Foundation initiative for China’s food safety. Active in hospital process optimization and FDA risk management contracts. Labs & Teams: Runs MIT’s Food Supply Chain Analytics and Sensing Initiative, collaborating with global partners on predictive risk tools and healthcare analytics.

Hadrian Djajadikertaمشاهده پروفایل

استاد

• Sustainability
• Corporate Governance
• Management Accounting
• +۶ مورد دیگر

Hadrian Geri Djajadikerta is a Professor and Accounting Discipline Lead at Curtin University's School of Accounting, Economics and Finance, part of the Faculty of Business and Law. He holds leadership roles such as Research Dean (Business and Law) and has previously held positions at UNSW, UTS, Lincoln University, and Edith Cowan University. His academic background includes a PhD from UTS, MBA from Montana State, and qualifications from ITB and UNPAR, alongside professional certifications like CA, CMA, and SCPM. Education: PhD(UTS), MBA(Montana), MSc(ITB), Drs(UNPAR). Additional training includes Business Analytics at the University of Cambridge. Research focuses on sustainability, corporate governance, and management accounting. Key areas include sustainability reporting, environmental disclosures, and interdisciplinary studies in supply chain, finance, and digital technology. Recent work explores climate resilience in higher education, digital competencies in energy industries, and freight transport sustainability. Awards include VC Excellence in Research Supervision and Teaching, AFAANZ Best Paper, and Wiley’s Top Cited Paper. Over 30 PhD students supervised and numerous grant investigations (e.g., Australia Africa Universities Network, Future Energy Exports CRC). Active in global collaborations and policy engagements, including parliamentary inquiries on short-stay accommodation. Grants include projects on climate change resilience ($20,000), digital competencies in energy ($219,375), and freight transport networks ($193,680). Engaged in not-for-profit social initiatives and corporate consulting in Indonesia and Australia. Led the Sustainability and Corporate Governance Research Cluster and contributes to industry partnerships through research clusters and advisory roles.

Gang (Gary) Tanمشاهده پروفایل

استاد

• Computer Security
• Formal Methods
• Programming Languages
• +۲ مورد دیگر

Gang (Gary) Tan is a Professor at the Pennsylvania State University's College of Engineering, specializing in computer security, formal methods, and programming languages. He co-directs the Institute for Networking and Security Research (INSR) and leads the Security of Software (SOS) Group, focusing on compiler, programming language, and formal method techniques to enhance computer security. Education: B.E. in Computer Science from Tsinghua University Ph.D. in Computer Science from Princeton University His research integrates formal verification with practical security applications, particularly emphasizing: Compiler-based security enforcement Side-channel mitigation in speculative execution Fairness analysis in machine learning systems Formal grammar approaches for software reliability Key article trends show: Security-focused formal methods (15% of publications) ML fairness verification (20% of recent work) Compiler-based security solutions (30% of output) Side-channel defense mechanisms (25% of research) Parser design and formal grammar synthesis (10% of contributions) Scientific achievements include: NSF CAREER Award Google Research Awards (2x) PLDI 2024 Best Paper James F. Will Career Development Professorship Outstanding Research Award at Penn State Ruth and Joel Spira Excellence in Teaching Award Dr. Tan actively contributes to academic communities through: DARPA ISAT study group membership Program committee roles (CGO 2024, ECOOP 2018, etc) Leadership in security research initiatives

Maria C.W. Peetersمشاهده پروفایل

استاد

• Workforce Sustainable Performance
• Diversity Management
• Worker Health and Well-being
• +۶ مورد دیگر

Maria C.W. Peeters serves as a Full Professor at Eindhoven University of Technology (TU/e) within the Department of Industrial Engineering and Innovation Sciences, specifically the Human Performance Management Group. She concurrently holds an Associate Professor position at Utrecht University in the Department of Social, Health and Organizational Psychology, reflecting her dual institutional engagement in Work and Organizational Psychology. Her educational background includes: MSc in Health Sciences from Maastricht University PhD from Radboud Universiteit Nijmegen (dissertation: effect of social support on work stress) Peeters' research investigates sustainable workforce performance through the critical lens of worker diversity in high-tech environments. She specializes in worker (ill)health and well-being, work engagement, sustainable employability, job crafting interventions, work-life balance dynamics, and tailored technological innovation implementation. Her work emphasizes adapting technologies to accommodate older workers, those with lower educational levels, and disabilities to extend labor market participation. Recent publications (2025) analyze psychosocial safety climate and the DISC model for office workers, while earlier studies (2018-2015) focused on job crafting transmission and intervention efficacy. Her research consistently employs quantitative methodologies like regression analysis within the Job Demands-Resources framework, addressing sustainable performance threats from rapid technological implementation. No specific scientific awards or prizes are documented in the provided text. Peeters has published over 100 national and international articles and book chapters, with 75 research outputs listed in TU/e's repository. She co-edited the textbook "An Introduction to Contemporary Work Psychology" (Wiley Blackwell, 2014) and serves on editorial boards for Work & Stress and Gedrag en Organisatie (Dutch Journal of Behaviour in Organizations). Her academic leadership includes presidency of the Dutch Association of Work & Organizational Psychology since 2018. She operates within the Human Performance Management Group at TU/e, which studies workforce optimization through health, engagement, and sustainable employability metrics in digitized workplaces.

Nelly V. Litvakمشاهده پروفایل

استاد

• Algorithms for Complex Networks
• Applied Probability
• Stochastic Operations Research
• +۵ مورد دیگر

Nelly V. Litvak is a Full Professor in Algorithms for Complex Networks at Eindhoven University of Technology (Mathematics and Computer Science). She works on mathematical methods and algorithms for complex networks (social networks, WWW) using random graph models. She joined TU/e as a part-time professor in 2017 after being an Associate Professor at the University of Twente since 2012. Affiliations: 4TU Applied Mathematics Institute, Data Science Center Eindhoven, CTIT Industry Partners: ABN-AMRO Bank, Philips Lighting, Thales Editorial Role: Managing Editor of Internet Mathematics Her research focuses on extracting value from network data across three areas: (1) Information extraction and prediction, (2) Mathematical analysis of network characteristics, and (3) Efficient algorithms for incomplete network data. Key topics include PageRank, HITS algorithm, random graphs, homophilic networks, and network epidemiology. Recent work (2022-2025) spans network growth mechanisms, fairness in ranking algorithms, educational pedagogy, and pandemic forecasting dashboards. She contributes to SDGs through data-driven approaches to societal challenges. Teaching activities include course development at TU/e and earlier institutions, with innovative methods for computer engineering students' statistical understanding.