Find Academic Supervisors

Tobias DistlerView profile

Associate Professor

• Distributed Systems
• Byzantine Fault Tolerance
• Energy-efficient Computing
• +7 more

Tobias Distler is an Associate Professor (Privatdozent) at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads research in resource-efficient fault tolerance, energy-aware systems, and distributed coordination. His work focuses on Byzantine fault tolerance, cloud computing, real-time systems, and embedded systems resilience. Research Projects: REFIT (Resource-efficient Fault and Intrusion Tolerance) EDC (Efficient Distributed Coordination) E³ (Energy-aware Execution Environments) TClouds (Trustworthy Clouds) Research Interests: His expertise spans distributed systems, fault-tolerant replication, energy-efficient computing, real-time systems analysis, and secure cloud infrastructure. He emphasizes practical system design with rigorous theoretical foundations. Publications: Over 100 peer-reviewed papers in top venues like Middleware, EuroSys, DSN, and ECRTS. Notable contributions include Egalitarian BFT, Strome (energy-aware stream processing), and TinyBFT for embedded systems. Awards: SIGACT Research Highlights Nomination (2024) FAU Teaching Award for Junior Researchers (2021) IBM Ph.D. Fellowship (2012-2013) Professional Activities: Served on program committees for Middleware, EuroSys, DSN, and IEEE Transactions. Chair of Artifact Evaluation for Middleware '20. Founded the BCRB workshop on Byzantine consensus and blockchains. Education: Habilitation (2021) and Ph.D. (2014) from FAU, focusing on resource-aware system software for replicated services. Advisor to numerous graduate students in distributed systems research.

Tolga OvatmanView profile

Professor

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

Pradip K SrimaniView profile

Professor

• Parallel and Distributed Computing
• Interconnection Networks
• Self-Stabilizing Systems
• +2 more

Pradip K Srimani is a Professor at the School of Computing , Clemson University , with research focus on Parallel and Distributed Computing , Self-Stabilizing Systems , and Graph Theory Applications . He is an IEEE Life Fellow and ACM Distinguished Scientist with over 250 publications. Research Interests Self-stabilizing algorithms for network graphs Ontology-based biomedical information retrieval High-performance computing resource management Biologically inspired distributed algorithms Network topology computation Recent publications demonstrate expertise in token circulation protocols, genome assembly frameworks, and semantic similarity measurement. He has served on program committees for APDCM , GPC-2018 , and IEEE BigMM conferences, while maintaining editorial roles at International Journal of High Performance Computing and Journal of Big Data . Scientific Awards IEEE Life Fellow ACM Distinguished Scientist

Ariel Ortiz-BobeaView profile

Associate Professor

• Agricultural Economics
• Environmental Economics
• Resource Economics
• +3 more

Ariel Ortiz-Bobea is an Associate Professor at Cornell University's Charles H. Dyson School of Applied Economics and Management and a Fellow at the Cornell Atkinson Center for Sustainability. His research focuses on how environmental changes, particularly climate change, affect agriculture, economies, and resource management. He holds a BS and MEng from the University of Paris-Saclay, an MPA from Syracuse University, and an MS and PhD in Agricultural and Resource Economics from the University of Maryland-College Park. Ortiz-Bobea's work spans agricultural productivity, climate adaptation strategies, and the interplay between environmental policies and economic outcomes. He has contributed to high-impact studies on climate-driven yield declines, deforestation, and solar energy's impact on farmland values. His papers have received several research awards and he serves on editorial boards for journals like American Journal of Agricultural Economics and Climatic Change . His teaching includes courses on Environmental and Resource Economics and Empirical Methods for Applied Economists. Professional roles include membership on the USDA’s NAREEE Advisory Board and the AERE board, reflecting his commitment to bridging academic research with policy applications.

Fernando PedoneView profile

Professor

• Dependable Distributed Systems
• Distributed Algorithms
• Distributed Data Management Systems
• +6 more

Fernando Pedone is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), leading the Computer Systems Institute (SYS). He holds a Ph.D. in Computer Science from EPFL (1999). His research focuses on dependable distributed systems, distributed algorithms, and fault-tolerant data management. Pedone has authored over 70 papers and co-edited 'Replication: Theory and Practice.' Roles: Full Professor, SYS Director Affiliations: USI, Swiss National Science Foundation (SNSF), Interchain Foundation Teaching: Distributed Algorithms, Distributed Systems, Operating Systems Research interests span atomic multicast protocols, state machine replication, blockchain synchronization, and consensus algorithms. His work bridges theoretical foundations with practical implementations, emphasizing scalability and fault tolerance. Pedone's projects are sponsored by entities like SNSF, CTI, and Microsoft Research. Notable contributions include 'Heron' (shared-memory state replication), 'PrimCast' (atomic multicast), and studies on blockchain state synchronization. His lab oversees over 20 PhD students, with alumni holding roles in academia and industry. Grants and collaborations include partnerships with the Hasler Foundation, European Commission, and Western Digital Research. Pedone actively participates in conferences like Middleware, DSN, and EuroSys.

Liesbeth Marian VeenhoffView profile

Associate Professor

• Cell Biology
• Biochemistry & Molecular Biology
• Nuclear Pore Complex
• +4 more

Prof. Liesbeth Veenhoff is an Associate Professor at the University of Groningen's Faculty of Medical Sciences, based at the European Research Institute for the Biology of Ageing (ERIBA) within the University Medical Center Groningen. Her research focuses on nuclear pore complex function, cellular ageing mechanisms, and intrinsic disorder in proteins, using baker's yeast as a model system. She holds a PhD from the University of Groningen (2001, Cum Laude) and has held postdoctoral positions at Rockefeller University (2002-2003) and the University of Groningen (2004-2010). Key research interests include nuclear transport dynamics, NPC assembly quality control, and systems biology approaches to aging. She leads a lab investigating molecular changes in aging yeast cells, including altered protein complex stoichiometry and compromised nuclear envelope transport. Her work combines microscopy, proteomics, and microfluidics to study age-related nuclear pore dysfunction. Received prestigious grants: NWO-Vici (2020), Aspasia Award (2016), and multiple VIDI/VENI fellowships Co-led a systems biology initiative on energy metabolism and aging Developed imaging tools like PunctaFinder for automated microscopy analysis Notable contributions include discovering selective transport mechanisms for NPC assembly proteins and identifying nuclear pore quality control deficits in aging cells. Her 2023 review in Trends in Biochemical Sciences synthesizes physicochemical perspectives on aging processes.

John BechhoeferView profile

Professor

• Stochastic Thermodynamics
• Biophysics
• Control Theory
• +3 more

John Bechhoefer is a Distinguished Professor in the Department of Physics at Simon Fraser University (SFU). He holds academic fellowships from the American Physical Society and the Royal Society of Canada. His research focuses on stochastic thermodynamics, biophysics, and control theory applied to physics. He has led a prolific research group with international collaborations, mentoring over 50 graduate and undergraduate students. His lab explores topics like the Mpemba effect, information engines, and DNA replication dynamics using advanced experimental techniques such as feedback traps and optical tweezers. Bechhoefer teaches courses in nonlinear physics and special topics in physics. His work bridges theoretical and experimental physics, with notable contributions to the understanding of entropy in nonequilibrium systems and the optimization of information-driven engines. He has published extensively in top journals including PNAS , Physical Review Letters , and Nature . His research group maintains active international exchanges, hosting scholars from institutions like the Weizmann Institute and the University of Nice.

Christopher EibelView profile

Researcher

• Energy-Aware Systems
• Distributed Systems
• Operating Systems
• +5 more

Christopher Eibel is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg (FAU). He specializes in energy-aware systems, distributed computing, and middleware design. His work focuses on optimizing energy efficiency in dynamic applications, heterogeneous computing environments, and real-time systems. His research includes projects such as BATS (tracking wildlife via sensor networks), E³ (energy-aware execution environments), and SEEP (symbolic execution for energy optimization). He has contributed to frameworks like Empya (energy-efficient middleware) and Albatross (profit-driven HPC runtime systems). Eibel has published extensively on topics like energy-aware programming, cloud computing, and heterogeneous cluster management. Notably, his work on Strome (energy-aware data-stream processing) won the Best Paper Award at DAIS 2018. He has supervised multiple theses on energy-efficient systems and middleware. He has taught courses on distributed systems and cloud computing since 2013, focusing on practical exercises and master’s seminars. His lab collaborates on projects involving high-performance computing, sensor networks, and operating system-level optimizations.

• Bio-integrated Electronics
• Flexible and Stretchable Electronics
• Optofluidics
• +7 more

Professor John A Rogers is a leading academic in materials science and biomedical engineering, currently holding the Louis Simpson and Kimberly Querrey Professor position at Northwestern University . He is also the founding Director of the Querrey-Simpson Institute of Bioelectronics , with joint appointments in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Chemistry, and Neurological Surgery. His research spans bio-integrated electronics, flexible devices, and nanofabrication technologies. Education : BA/BS in Chemistry and Physics (University of Texas, 1989); SM in Physics and Chemistry (MIT, 1992); PhD in Physical Chemistry (MIT, 1995). Rogers’ work focuses on Soft, skin-like electronics for vital signs monitoring, Bioresorbable devices for cardiac and neural applications, Injectable optoelectronics in neuroscience, and 3D microsystems for biomedical research. His team pioneers stretchable silicon , transient electronics , and bio-inspired fabrication methods. Recent research trends include millimeter-scale pacemakers , wireless skin-interfaced systems , and closed-loop bio-optoelectronics . These innovations leverage flexible substrates , nanoscale thermocapillary flows , and soft lithography for unprecedented biocompatibility and functionality. Scientific Awards : Sigma Xi William Procter Prize (2023), IEEE Biomedical Engineering Award (2023), James Prize (2022), Guggenheim Fellowship (2021), MacArthur Fellowship (2009), and multiple academy fellowships. Rogers leads a multidisciplinary team and has co-authored over 1000 peer-reviewed papers, with more than 100 patented technologies commercialized through startups. His lab’s 3D electronic pericardium and skin-integrated microfluidics exemplify his commitment to translating fundamental science into clinical solutions.

• Human Robot Interaction
• Healthcare Robotics
• Wearable Sensors
• +6 more

Tamon Miyake is an Assistant Professor at Waseda University's School of Creative Science and Engineering, specializing in Human Robot Interaction and Healthcare Robotics. His research focuses on wearable sensors, muscle deformation analysis, gait training, and mixed reality systems for rehabilitation applications. Dr. Miyake received his Doctor of Engineering from Waseda University in March 2020. His primary research areas include muscle deformation sensing, gait analysis and training, mixed reality rehabilitation systems, and human-robot interaction for healthcare applications. His work bridges engineering and clinical applications, particularly in physiotherapy training and rehabilitation robotics. His research output demonstrates a strong focus on developing objective measurement systems for clinical applications, particularly in analyzing muscle deformation during physiotherapy and developing training systems that provide quantifiable metrics for skill acquisition. His recent work shows increasing integration of AI and machine learning techniques with traditional biomechanical analysis. His publications reveal a consistent research trajectory focused on improving rehabilitation outcomes through technology, with particular emphasis on gait training, muscle load analysis, and developing objective metrics for physiotherapy practice. His work spans both engineering development and clinical validation studies. Dr. Miyake has been actively involved in the IEEE Robotics and Automation Society as Co-Chair of the Student Activities Committee from 2017-2019, demonstrating his commitment to academic community building.

Sergei MaslovView profile

Professor

• Microbial Ecology
• Epidemiology Modeling
• Systems Biology
• +3 more

Sergei Maslov is a Full Professor and Bliss Faculty Scholar in the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He also holds a non-active appointment in the Department of Physics (0%). His research integrates theoretical physics, computational biology, and microbiology to study microbial ecosystems, epidemic dynamics, and systems-level biological processes. Education: Ph.D. in Theoretical Statistical Physics from Stony Brook University (1996). Academic leadership includes founding roles in UIUC's and Illinois Governor's COVID-19 modeling teams, advising on mitigation strategies during the pandemic. He leads interdisciplinary initiatives, such as the 2024 Strategic Research Initiative on spatial transcriptomics funded by Grainger College of Engineering. Research Interests: Microbial community dynamics, computational epidemiology, origins of life, and systems biology. Key projects include modeling gut microbiome behavior, predicting epidemic waves, and developing tools like FUN-PROSE and DR-BERT for biological data analysis. Awards: 2021 University of Illinois Presidential Medallion, AIMBE Fellowship (2021), APS Fellow (2020), and PECASE (2002). His work bridges theoretical frameworks with real-world applications, such as SHIELD testing protocols and community-level ecological modeling. Grants and Service: Principal Investigator (PI) on multi-million-dollar projects, including SRI grants. Served on campus committees like the Math Bio Faculty Search Committee (2022). Lab collaborations span departments, with co-PI roles in electrical engineering, computer science, and statistics. Labs/Teams: Maslov Lab focuses on computational and systems biology. Recent work includes a Nature Communications paper on microbial resource preferences and eLife publications on pandemic modeling. The lab actively engages in international conferences and hosts visiting scholars, such as Griffin Chure from Stanford.

J. Edward Swan IIView profile

Professor

• Augmented Reality
• Virtual Reality
• Applied Perception
• +5 more

J. Edward Swan II serves as the Interim Associate Dean of Research for the James Worth Bagley College of Engineering (BCoE) at Mississippi State University and holds the prestigious Virginia Carron Eiland and Brent Eiland Professorship in the Department of Computer Science and Engineering. Previously, he served as Interim Department Head in 2017 and 2018. His academic journey includes a B.S. in Computer Science from Auburn University (1989), and M.S. (1992) and Ph.D. (1997) degrees in Computer Science from Ohio State University. Dr. Swan's research primarily focuses on augmented and virtual reality, applied perception, data science, empirical methods, human-computer interaction, human factors, and visualization. His work centers on understanding the perception and technology required to give virtual objects definite spatial locations, including depth and layout perception and depth presentation methods. He also investigates efficient data science tools through his leadership of the Spatial Perception and Augmented Reality Lab (SPAAR Lab) and collaboration with the Data Science for the Social Sciences Laboratory. His recent publications reveal a strong emphasis on depth perception in augmented and virtual reality environments, with particular attention to eye tracking metrics, context switching effects, and x-ray vision applications. His research demonstrates a consistent commitment to empirical methods and human factors analysis, with applications spanning military, medical, and everyday contexts. His work shows increasing sophistication in measurement techniques and experimental design over the years. Induction into the 2024 Class of the VGTC Virtual Reality Academy 2023 VGTC Virtual Reality Service Award 2022 ISMAR Impact Paper Award Best Poster, Honorable Mention award at IEEE Virtual Reality 2020 Winner of an Honorable Mention award at IEEE Virtual Reality 2012 Dr. Swan has successfully mentored numerous graduate students who have gone on to successful careers in academia and industry. His research has been consistently supported by major funding agencies including the National Science Foundation, the Department of Defense, NASA, the Naval Research Laboratory, and the Office of Naval Research. He has organized and taught numerous tutorials at major conferences and serves in leadership roles including chair of the IEEE VR steering committee. His lab culture emphasizes teamwork and the pursuit of intellectual excellence through scholarship of the highest quality.

Shivendra PanwarView profile

Professor

• Wireless Networks
• 5G/6G Technology
• Millimeter Wave and Terahertz Communication
• +4 more

Shivendra Panwar is a Professor in the Electrical and Computer Engineering Department at the NYU Tandon School of Engineering and Director of the New York State Center for Advanced Technology in Telecommunications (CATT). He holds IEEE Fellow and NAI Fellow distinctions. His research focuses on wireless networks (5G/6G, mmWave, terahertz), video distribution over wireless, AR/VR/XR applications, and R&D policy. Education: B.Tech from IIT Kanpur (1981), M.S. and Ph.D. from University of Massachusetts Amherst (1983, 1986). He co-founded the NY City Media Lab and is a member of NYU Wireless. Notable awards include the IEEE Leonard G. Abraham Prize (2004), 2011 Multimedia Best Paper Award, and Sony Research Awards (2016-2017). Recent work addresses challenges in millimeter wave systems, full-duplex cellular networks, and latency-sensitive applications. His contributions span protocol design, network architecture innovation, and economic analysis of telecom systems. He has authored/co-authored influential books on TCP/IP and network management.

Daniel MurphyView profile

Professor

• Lung Cancer
• Mesothelioma
• Cancer Research
• +5 more

Professor Daniel Murphy is a Professor of Lung Cancer & Mesothelioma at the University of Glasgow's Institute of Cancer Sciences, based at the CRUK Beatson Institute. His research focuses on understanding the molecular mechanisms underlying lung cancer and mesothelioma, with particular emphasis on genetically engineered mouse models and kinase signaling pathways. His work bridges basic science with clinical applications to develop new therapeutic approaches. Professor Murphy's research interests span multiple areas of cancer biology, with a strong focus on lung cancer and mesothelioma pathogenesis. His laboratory investigates how oncogenes like MYC drive tumor development and progression, with particular attention to metabolic reprogramming, kinase signaling networks, and the role of environmental factors like asbestos in mesothelioma. He has made significant contributions to understanding NUAK1 kinase signaling in cancer, centrosome regulation in pancreatic cancer, and mitochondrial dysfunction in tumor progression. His work often employs sophisticated genetically engineered mouse models to study cancer biology in physiologically relevant contexts. Analysis of Professor Murphy's recent publications reveals a strong thematic focus on molecular mechanisms of cancer development, with particular emphasis on kinase signaling pathways (especially NUAK1), metabolic reprogramming in tumors, and the molecular basis of mesothelioma. His research increasingly incorporates advanced computational approaches, as evidenced by publications on histomorphological atlases using self-supervised learning. The work spans basic molecular mechanisms to translational applications, with several studies identifying potential therapeutic targets in liver cancer, pancreatic cancer, and myeloproliferative disorders. Pharmacological inhibition of MYC in lung cancer (Beatson Cancer Charity, 2025-2026) Dactinomycin has an immunopotentiation effect by inducing MHC-I expression of cancer cells (University of Oxford, 2024-2025) REMIT: REconstruction of disease evolution in Mesothelioma for Improved Therapy (Cancer Research UK, 2023-2028) Using complex state of the art mouse models of cancer to improve the understanding and treatment of human cancer (Medical Research Council, 2022-2027) PREDICT-Meso: PRE-malignant Drivers Combined with Target-Drug validation in Mesothelioma (Cancer Research UK, 2020-2025) Professor Murphy leads a research group focused on oncogene-induced vulnerabilities, particularly studying how MYC and related pathways drive cancer development. His laboratory utilizes advanced genetically engineered mouse models to investigate lung cancer and mesothelioma pathogenesis, with recent work increasingly incorporating computational approaches to analyze complex histopathological data. The research has significant translational potential, with several recent studies identifying novel therapeutic targets across multiple cancer types.

Edward TremelView profile

Assistant Professor

• Fault-Tolerant Distributed Systems
• RDMA Networks
• Privacy and Security in Distributed Systems
• +3 more

Edward Tremel is an Assistant Professor in the Department of Computer Science at Augusta University's School of Computer and Cyber Sciences. His research focuses on fault-tolerant distributed systems, RDMA network optimization, and privacy-preserving protocols for smart devices. PhD, Computer Science, Cornell University (2020) MS, Computer Science, Cornell University (2017) BS, Computer Science with Honors, Brown University (2013) Key research contributions include: Lead developer of Derecho , a C++ library for high-performance replicated services in RDMA networks Architect of Cascade , a versioned key-value storage framework for low-latency cloud applications Inventor of CascadeChain , a verifiable log storage system Designer of secure electronic pollbook systems for US elections Recent publications analyze monotonicity in distributed systems, efficient recovery mechanisms, and anonymous query protocols. His awards include NSF travel funding for SOSP 2019 and Heidelberg Laureate Forum selection in 2015.