Find Academic Supervisors

• Operations Management
• Manufacturing Systems
• Supply Chain Management
• +5 more

Sunder Kekre is the Vasantrao Dempo Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business , where he has held academic appointments since 1984. His research focuses on manufacturing systems, global supply chains, and healthcare operations management. Research Expertise : New product development structures, strategic costing, lean innovation, knowledge sharing in enterprise networks, and business analytics for coordinated supply chains. Key Publications : Contributions to journals like Management Science , Operations Research , and Production and Operations Management , with work on LNG storage valuation, RFID logistics, and healthcare disparities. Scientific Recognition : Dempo Chair Professorship Bosch Chair Professorship Best Paper Award (1995) Teaching : Courses in Operations Management, Strategic Management of the Enterprise, and Information Systems Project. Non-Academic Experience : Prior engineering roles at Tata Steel (1974-1980) and consulting engagements with Fortune 500 firms like Bosch, Caterpillar, and IBM.

• Computer Architecture
• Interconnection Networks
• Approximate Computing
• +5 more

Natalie Enright Jerger is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She holds the Canada Research Chair in Computer Architecture and serves as Director of the Division of Engineering Science (2023-2028). Previously, she was the Percy Edward Hart Professor (2016-2019). She received her B.S. in Computer Engineering from Purdue University (2002), and M.S./Ph.D. in Electrical Engineering from University of Wisconsin-Madison (2004/2008). Her research focuses on: Multi/many-core architectures and on-chip networks Cache coherence protocols and memory hierarchy optimization Approximate computing and sustainable systems Intermittent computing for energy-harvesting devices Hardware acceleration for machine learning Her publications demonstrate strong emphasis on networks-on-chip (NoC) innovations, including routing algorithms, deadlock handling, power-efficient designs, and topology optimizations. Recent work expands into approximate computing, mobile architectures, and ML-driven hardware design. Major Awards: Fellow of Engineering Institute of Canada (2023) McLean Senior Fellow (2019) IEEE Micro Top Picks (2016) ACM/IEEE Microarchitecture Hall of Fame (2015) Sloan Research Fellowship (2015) Canada Research Chair (current) Distinguished Scientist, ACM Fellow, IEEE She leads the NEJ research group and collaborates with industry partners including Intel, AMD, Qualcomm, and IBM. Her work is funded by NSERC, CFI, and industrial grants. She co-chaired ASPLOS 2023 and HPCA 2014, and actively promotes diversity through WICARCH and ACM initiatives.

Nick HaddadView profile

Professor

• Ecology
• Conservation Biology
• Habitat Fragmentation
• +5 more

Nick Haddad is a Professor of Integrative Biology at Michigan State University and serves as the Director of the Long-Term Ecological Research (LTER) site at Kellogg Biological Station. His research focuses on ecological experimentation, particularly examining how habitat loss and fragmentation impact biodiversity and ecosystem functioning. He specializes in reversing these negative effects through landscape connectivity strategies and diversified working landscapes, with a strong emphasis on insect conservation, including critically endangered butterfly species. Role: Professor, Integrative Biology Directorship: KBS LTER Site Location: 322 Kellogg Biological Station Email: haddadn3@msu.edu Haddad's research spans habitat fragmentation, biodiversity conservation, climate change impacts, and agricultural sustainability. His lab conducts large-scale experiments like the Corridor Project and studies rare butterflies (e.g., St. Francis’ satyr, Miami blue) to understand extinction risks and recovery strategies. Recent work explores pesticide effects, prairie restoration, and long-term ecological trends. The 15 most recent publications highlight habitat fragmentation's ecological impacts, climate-driven phenological shifts, and innovative conservation approaches. Key themes include biodiversity monitoring, pesticide-driven declines, prairie restoration for pollinators, and climate adaptation strategies. His work leverages long-term datasets (e.g., 40-year LTER) and integrates theory with applied conservation. Lab activities include mentoring undergraduate and graduate students at KBS, leading the Haddad Lab, and collaborating on projects like the KBS-LTER and SRS Corridor initiatives. Research spans both terrestrial and agroecosystems, emphasizing actionable solutions for conservation and sustainable land use.

Nils Ole TippenhauerView profile

Professor

• Cyber-Physical System Security
• Industrial Control Systems Security
• Physical-Layer Security
• +7 more

Nils Ole Tippenhauer is a faculty member at the CISPA Helmholtz Center for Information Security , leading the SCy-Phy research group . His academic journey includes an Assistant Professorship at the Singapore University of Technology and Design (SUTD) (2014–2018), a PhD in Computer Science from ETH Zurich (2012), and a Diploma in Computer Engineering from Hamburg University of Technology (2007). He also holds an exchange study year at the University of Waterloo (2004–2005) supported by a DAAD scholarship. Research Interests focus on practical systems security , particularly Security of Cyber-Physical Systems Industrial Control Systems (ICS) and Industrial IoT (IIoT) Physical-Layer Security and Wireless Security Privacy-Preserving Technologies (e.g., DP3T project) Embedded Systems Security Threat Detection & Defenses His work integrates both theoretical and applied approaches, addressing vulnerabilities in critical infrastructures like water systems and power grids. Recent Publications highlight trends in Anomaly detection evasion in industrial networks Microarchitectural side-channel defenses Localization techniques in cellular networks Security analysis of ICS protocols Data-driven vulnerability assessments for robotics Cyber-physical simulation for infrastructure security Scientific Awards include Best paper at DIMVA'23 Distinguished Paper at ACSAC 2022 Best paper at CPSIOTSEC 2022 Best paper at CPSS 2017 K-H Ditze Award for diploma thesis (2007) SG Mark Institution award (2016) Runner-Up at smart energy hackathon (2013) Advising and Grants feature PhD defenses of Daniele Antonioli and Hamid Reza Ghaeini (2022), co-organizing conferences like WiSec and CPSS , and leading projects such as the National Science Experiment (NSE) with 50,000 mobile sensors in Singapore. He also contributed to the DP3T project for privacy-preserving contact tracing. Labs and Teams include the SCy-Phy research group at CISPA and the development of testbeds like SWaT (Secure Water Treatment), WADI (Water Distribution), and EPIC (Electric Power and Industrial Control) at SUTD. These platforms enable hands-on security research in realistic industrial environments.

Christopher KruegelView profile

Professor

• Systems Security
• Malware Analysis
• Web Security
• +7 more

Christopher Kruegel is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he conducts research in systems security. He is affiliated with the International Secure Systems Lab (iSecLab) and was a co-founder of Lastline, Inc., which was acquired by VMware in 2020. His work focuses on creating practical security solutions that address real-world problems through system building and experimental validation. Professor Kruegel's research spans multiple areas of computer security including malware analysis, web security, network security, and vulnerability analysis. His work often involves developing systems that analyze programs for malicious behavior, scanning web applications for vulnerabilities, and improving privacy on social networks. He has made significant contributions to firmware security, smart contract analysis, and mobile security through his extensive publication record. His 15 most recent publications (2022-2023) demonstrate a strong focus on practical security solutions across diverse domains including firmware security (Shimware, Fuzzware), blockchain and smart contract security (Confusum Contractum, NFT security), mobile security (TEEzz, Columbus), and vulnerability detection techniques (Actor, Toss a Fault to Your Witcher). His research shows consistent innovation in security tools and methodologies with several papers receiving distinguished awards. Fellow of the Institute of Electrical and Electronics Engineers Outstanding Graduate Mentor Award, UCSB Academic Senate Distinguished Artifact Award for Fuzzware paper Distinguished Paper Award for Ramblr paper Best Student Paper Award for Detecting Spammers On Social Networks Professor Kruegel has advised numerous graduate students and collaborated extensively with researchers at UCSB and beyond. His work has been funded by various research grants supporting his security research initiatives. He is actively involved in the International Secure Systems Lab, which focuses on practical security solutions for real-world problems.

Xiaocheng ShangView profile

Associate Professor

• Mathematical Optimization
• Data Science
• Numerical Analysis
• +3 more

Xiaocheng Shang is an Associate Professor in Mathematical Optimisation and Data Science at the University of Birmingham's School of Mathematics. His research focuses on numerical methods for stochastic differential equations, with applications in computational mathematics, statistics, physics, and data science. He is affiliated with the Optimisation and Numerical Analysis Group, Statistics and Data Science Group, and the Institute for Data and AI. Shang holds a PhD in Applied and Computational Mathematics from the University of Edinburgh (2016) and completed postdocs at the University of Edinburgh, Brown University, and ETH Zurich before joining Birmingham in 2019. His academic achievements include fellowships from The Alan Turing Institute, the LMS Emmy Noether Fellowship, and the EUniWell Leadership Fellowship. He has secured funding from EPSRC, the Royal Society, and the Isaac Newton Institute. Shang is actively involved in supervising PhD students and co-organizing research initiatives such as the Data Science and Computational Statistics Seminar. Research interests include structure-preserving integrators, Bayesian sampling techniques, and machine learning applications in dynamical systems. His work bridges numerical analysis, probability theory, and multiscale modeling in materials science. Recent projects involve neural networks for complex dynamical systems and numerical algorithms for deterministic/stochastic systems.

Anas IftikharView profile

Assistant Professor

• Supply Chain Resilience
• Supply Chain Complexity
• Digital Transformation
• +5 more

Dr. Anas Iftikhar is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at Lancaster University's Management School, United Kingdom. He is affiliated with the Centre for Productivity and Efficiency and contributes to the Supply Chain Management department with research focusing on contemporary supply chain challenges. Dr. Iftikhar completed his Ph.D. in Economics, Management, and Quantitative Methods from the University of Salento, Italy in May 2021. During his doctoral studies, he held visiting researcher positions at Ghent University (Belgium) and Cardiff Business School at Cardiff University (UK), gaining valuable international research experience. Prior to his academic career, he accumulated industry experience in inventory planning and operations management. Dr. Iftikhar's research primarily investigates how supply chain capabilities enhance resilience in disruptive and complex environments. His work explores the intersection of supply chain complexity, digital technologies, and resilience strategies. He employs methodological approaches including systematic literature reviews, meta-analysis, and structural equation modeling. His research has significant implications for organizations navigating geopolitical uncertainties, digital transformation, and supply chain disruptions. His publication portfolio demonstrates a clear evolution from foundational work on network trust and ripple effects to more sophisticated examinations of digital transformation's role in supply chain resilience. Recent publications increasingly focus on the synergistic effects of multiple capabilities (network capability, innovation ambidexterity) in addressing complex challenges like geopolitical turmoil. The research trajectory shows a progression from single-factor analyses to more complex, integrated models that better reflect real-world supply chain dynamics. Dr. Iftikhar actively participates in the academic community through presentations at major conferences including the European Operations Management Association (EUROMA) annual conference, IFAC Conference on Manufacturing Modelling, Management & Control, and Industrial Engineering Operations Management (IEOM) society events. He has also delivered invited talks such as 'Contemporary Issues in Logistics Management' at Bukhara State University. As an educator, Dr. Iftikhar is willing to supervise PhD students in supply chain resilience, disruption management, supply chain complexity, and innovative technologies in supply chain management. His industry experience enriches his teaching approach, bridging theoretical concepts with practical applications. His research outputs have been published in leading Operations and Supply Chain Management journals including International Journal of Production Research, Production Planning and Control, Annals of Operations Research, and Journal of Business Research.

• Operations Management
• Healthcare Operations
• Queueing Theory
• +3 more

Mustafa Akan is an Associate Professor of Operations Management at the Tepper School of Business, Carnegie Mellon University . He holds a Ph.D. in Managerial Economics and Strategy from Northwestern University (2008) and a B.Sc. in Industrial Engineering from Carnegie Mellon University (2004). Research Interests : His work focuses on healthcare operations management , queueing theory , and dynamic pricing strategies . He investigates efficient resource allocation in service systems, equity in organ transplantation, and optimization of remanufacturing processes under uncertainty. His research bridges applied mathematics , computation theory , and business strategy . Article Trends : Recent publications address liver allocation equity (2025), two-sided market pricing (2025), and task allocation in tandem queueing systems (2024). Earlier works explore transplant health disparities (2024), remanufacturing procurement (2023), and fashion product pricing (2021). Common themes include service science , healthcare operations , and policy-driven optimization . Scientific Awards : Best Dissertation Award (INFORMS Aviation Applications Section, 2008) Xerox Faculty Chair (2009) INFORMS Best Paper in Service Science (2009) POMS Healthcare Best Paper Award (2012) Lave-Weil Prize (2013) Gerald L. Thompson Teaching Award (2014) NSF CAREER Award (2014) Mehrotra Research Excellence Award (2024) DEIJ Best Paper Award (2023) Teaching & Grants : He teaches courses like Healthcare Operations , Risk Analytics , and Demand Management & Price Optimization . His NSF CAREER Award (2014) supports research in operational systems. He has served on committees for INFORMS , POMS , and Naval Research Logistics .

• Computational Materials Science
• Condensed Matter Physics
• Nanomaterials
• +6 more

Paul Erhart is a Professor in Condensed Matter and Materials Theory at the Department of Physics, Chalmers University. He received his PhD from Technische Universität Darmstadt in 2006, followed by postdoctoral and staff positions at Lawrence Livermore National Laboratory from 2007, before joining Chalmers in 2011. His research bridges computational physics, materials science, and machine learning to tackle fundamental problems in materials design and characterization. Dr. Erhart's research focuses on computational materials science with particular emphasis on condensed matter physics, nanomaterials, and quantum materials. His work spans from developing computational methods like machine-learned potentials (GPUMD, neuroevolution potentials) to studying fundamental phenomena in perovskites, 2D materials, thermal transport, and plasmonics. He has pioneered approaches connecting simulation with experimental techniques through correlation functions and has made significant contributions to understanding phase transitions, defect physics, and electronic structure in complex materials systems. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional computational physics methods. His work increasingly focuses on developing and applying neuroevolution potentials to study thermal properties, phase transitions, and optical phenomena in materials. There's also a clear emphasis on connecting computational results with experimental observations, particularly in neutron scattering, Raman spectroscopy, and plasmonic sensing applications. His research spans fundamental materials physics to applied areas like hydrogen sensing and sustainable materials development. Dr. Erhart has contributed to numerous software packages essential to the computational materials science community, including WulffPack for Wulff constructions, Dynasor for extracting dynamical structure factors, calorine for neuroevolution potential models, and ICET for alloy cluster expansions. His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern materials research. His contributions to understanding perovskite materials, thermal transport phenomena, and plasmonic systems have established him as a leading researcher in computational materials science.

Luca DemetrioView profile

Assistant Professor

• Adversarial Machine Learning
• Malware Detection
• Cybersecurity
• +3 more

Luca Demetrio is an Assistant Professor at the University of Genoa, Italy, specializing in adversarial machine learning and cybersecurity. Previously, he was a Post-doctoral Researcher at the PRA Lab within the Department of Electrical and Electronic Engineering at the University of Cagliari. He holds bachelor's (2015), master's (2017), and Ph.D. (2021) degrees from the University of Genova, with his doctoral thesis focusing on formalizing evasion attacks against security detectors. His research emphasizes enhancing the robustness of machine learning models against adversarial attacks, particularly targeting malware detectors, SQL injection defenses, and Windows security systems. He leads the development of SecML Malware, a Python library for generating adversarial Windows malware, and contributes to the SecML framework. His work has been published in top-tier journals like ACM TOPS and IEEE TIFS. Key research interests include adversarial example generation, malware analysis, and cybersecurity defense mechanisms. He has explored query-efficient attacks on phishing detectors, certified adversarial robustness via randomized smoothing, and robust synthetic data-driven threat detection. His recent studies (2023–2025) address challenges in hardening machine learning models against evasion attacks, adversarial SQL injection countermeasures, and securing autonomous driving systems from adversarial reinforcement learning attacks.

Liyi ZhouView profile

Lecturer

• Systems Security
• Blockchain Technology
• Artificial Intelligence
• +5 more

Dr. Liyi Zhou is a Lecturer in the School of Computer Science at the University of Sydney, specializing in systems security, blockchain, and AI. His research focuses on developing automated and adaptive security tools using machine learning and reinforcement learning. He co-founded D23E.ch, a platform addressing blockchain security and privacy challenges. Research interests include AI-driven vulnerability detection, large security models, real-time intrusion prevention, advanced program analysis (fuzzing/symbolic execution), and privacy-preserving systems. He actively recruits PhD students for projects advancing AI in cybersecurity. Notable achievements include pioneering 'sandwich attacks' discovery in DeFi protocols, contributing to Ethereum Foundation grants, and receiving bug bounties from Flashbots and Ethereum Foundation for vulnerability disclosures. His work has been published in venues like IEEE S&P, USENIX Security, and SIGMETRICS. Teaching includes the course INFO2222. He seeks collaborations and funding to bridge academic research with real-world industry problems, emphasizing practical impact.

• Computer Networks
• Cybersecurity
• Distributed Systems
• +4 more

Saurabh Bagchi is a Professor at Purdue University, West Lafayette, USA. He holds a PhD in Computer Science from the University of Illinois Urbana-Champaign (2001). His research focuses on distributed systems security, networking, and embedded systems. Key areas include IoT security, cyber-physical systems resilience, and machine learning applications in edge computing. Bagchi's work spans theoretical and applied domains, addressing challenges in distributed algorithms, fault tolerance, and secure communication protocols. His contributions to firmware analysis, serverless computing optimization, and anomaly detection in industrial IoT systems have been widely recognized. He has published over 300 papers in top-tier conferences and journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Sensor Networks, and CVPR. He collaborates with researchers in academia and industry to advance resilient networked systems, including projects funded by NSF and industrial partnerships. His lab explores cutting-edge topics like federated learning security, edge computing architectures, and game-theoretic approaches to cyber defense.

Abdon Pena-FranceschView profile

Assistant Professor

• Biomaterials science
• Polymer chemistry
• Soft matter physics
• +5 more

Abdon Pena-Francesch is an Assistant Professor in the Department of Materials Science and Engineering at the University of Michigan. He is also affiliated with the Macromolecular Science and Engineering Program, Chemical Engineering, and the Michigan Robotics Institute. His interdisciplinary research integrates biomaterials science, polymer chemistry, soft matter physics, and nanotechnology to develop programmable soft materials for applications in healthcare, robotics, and environmental science. Education: Ph.D. in Engineering Science and Mechanics, The Pennsylvania State University, 2017 M.Sc. in Chemical Engineering, Institut Químic de Sarrià (Barcelona, Spain), 2013 B.Sc. in Mechanical Engineering, Institut Químic de Sarrià (Barcelona, Spain), 2011 Research Interests: His work focuses on bioinspired materials , soft robotics , self-healing polymers , and biodegradable microrobots . By engineering molecular and nanoscale structures, his lab designs materials with programmable properties for soft robotic systems and biomedical devices. The group emphasizes both fundamental science and translational applications, including tissue repair, actuation, and environmental sensing. Awards and Honors: Humboldt Research Fellowship for Postdoctoral Researchers (2018–2020) Alumni Association Dissertation Award, Penn State University (2017) Rustum and Della Roy Innovation in Materials Research Award (2016) Materials Research Society Graduate Student Award (2016) First Prize, Penn State ESM Graduate Research Symposium (2015) AGAUR MOBINT Fellowship, Government of Catalunya (2012) Labs and Affiliations: He leads the Bioinspired Materials Lab , an interdisciplinary group within the University of Michigan’s Materials Science & Engineering Department. The lab collaborates with the Macromolecular Science & Engineering Program, Chemical Engineering, and the Michigan Robotics Institute.

Ralph BockView profile

Professor

• Plant Molecular Biology
• Chloroplast Biology
• Organelle Biotechnology
• +7 more

Prof. Dr. Ralph Bock serves as Director of Department 3: Organelle Biology, Biotechnology and Molecular Ecophysiology at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he also leads the Organelle Biology and Biotechnology research group. Previously, he held positions as C4 Professor for Plant Biochemistry and Biotechnology at the University of Münster (2001-2004) and Group Leader at the Institute of Biology III, University of Freiburg (1996-2001). His academic credentials include: Habilitation: University of Freiburg, 1999 Doctorate: University of Freiburg, 1996 Diploma: University of Halle, 1993 Prof. Bock's research focuses on plant molecular biology with particular emphasis on chloroplast biology, organelle biotechnology, and molecular ecophysiology. His work spans genetic engineering of plastids, photosynthesis research, plant biotechnology applications, and understanding organelle-nucleus communication. He has made significant contributions to developing chloroplast transformation systems and applying them to molecular farming, metabolic engineering, and understanding fundamental processes in plant cell biology. His research has important implications for sustainable agriculture, bioenergy, and pharmaceutical production, particularly through the development of plant-based systems for producing vaccines and therapeutic proteins. Analysis of Prof. Bock's recent publications (2023-2025) reveals a strong focus on chloroplast biology, genetic engineering, and molecular farming applications. His work spans fundamental research on organelle genetics, photosynthesis, and stress responses, as well as applied research on using plant and algal systems for biopharmaceutical production. A notable trend is the increasing use of advanced genetic engineering techniques, including CRISPR-based approaches, to manipulate organelle genomes. His research also shows growing interest in algal systems as alternative expression platforms for molecular farming, particularly red algae like Porphyridium for producing viral antigens and glycoproteins.

Gang (Gary) TanView profile

Professor

• Computer Security
• Formal Methods
• Programming Languages
• +2 more

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