Find Academic Supervisors

Sara E. SkrabalakView profile

Professor

• Inorganic Materials
• Nanomaterials
• Physical Chemistry
• +3 more

Sara E. Skrabalak is the James H. Rudy Professor and Robert & Marjorie Mann Chair in the Department of Chemistry at Indiana University Bloomington . She serves as Editor-in-Chief for ACS Materials Letters and Chemistry of Materials and held associate editor roles for Nanoscale journals (2017-2020). Her research focuses on designing nanomaterials with controlled crystal size, shape, composition, and architecture for applications in energy science , chemical sensing , and secured electronics . Education : B.A. in Chemistry from Washington University in St. Louis (2002), Ph.D. in Chemistry from University of Illinois at Urbana-Champaign (2006), Postdoctoral Research at University of Washington-Seattle. Research Themes : Nanomaterial Synthesis : Developing scalable methods for inorganic nanocrystals with defined properties. Plasmonics : Exploring symmetry-reduced metal nanostructures for optical applications. Electrocatalysis : Building durable multimetallic catalysts from intermetallic seeds. Solar-to-Fuel Conversion : Engineering heteroanionic photocatalysts for visible light water splitting. Scientific Recognition : NSF CAREER and DOE Early Career Awards Research Corporation Cottrell Scholar (2012) Sloan Research Fellow (2013) Camille Dreyfus Teacher-Scholar (2014) Guggenheim and Fulbright Fellowships (2017) ACS Award in Pure Chemistry (2014) Labs & Collaborations : Leads the Skrabalak Group in Chem C310, 318, 326 at IU Bloomington and collaborates with the Center for Single-Entity Nanochemistry and Nanocrystal Design (NSF-funded). Her work emphasizes diversity and inclusion in scientific innovation.

Monika TrimoskaView profile

Assistant Professor

• Cryptanalysis
• Post-Quantum Cryptography
• Multivariate Cryptography
• +6 more

Monika Trimoska is an Assistant Professor at the Coding Theory and Cryptology group at Eindhoven University of Technology (TU/e) , where she has worked since 2023. Previously, she was a postdoc at Radboud University and obtained her Ph.D. in cryptography at the University of Picardie Jules Verne under the supervision of Gilles Dequen and Sorina Ionica. She has also served as a Teaching and Research Assistant at her alma mater. Current Affiliation: Assistant Professor, TU/e (2023–present) Previous Affiliations: Postdoc at Radboud University (2021–2023), Teaching/Research Assistant at University of Picardie (2017–2021) Research Interests revolve around cryptanalysis of post-quantum cryptosystems , focusing on multivariate , code-based , and isogeny-based systems. Her work bridges theoretical and practical security analysis, particularly through SAT solvers and fault injection attacks . Recent Publications demonstrate expertise in algebraic attacks against digital signature schemes like MQ-Sign and CSIDH , with a focus on code equivalence problems , trilinear forms , and parallel collision search . She has also contributed to homomorphic encryption applications. Teaching Activities include courses on Applied Number Theory and Algebra and guest lectures on isogeny-based cryptography at Radboud University. She has co-supervised multiple Ph.D. , Master’s , and Bachelor’s students. Technical Contributions include open-source tools like WDSat (SAT solver for Weil descent) and MCE (Matrix Code Equivalence implementations).

Mohammed BenaissaView profile

Professor

• Hardware Cryptography
• Error-Control Coding
• Reconfigurable Hardware Design
• +4 more

Mohammed Benaissa is a Professor of Information Engineering at the University of Sheffield within the School of Electrical and Electronic Engineering . As Director of Learning and Teaching (Student Experience) , he leads initiatives for academic quality and student engagement. His research bridges hardware cryptography , error-control coding , and healthcare technology , particularly in data-driven diabetes management via the WithCare+/Glucollector platform deployed in NHS trusts. Education : PhD, Dip.Ing in Electrical and Electronic Engineering Technical Leadership : Patent holder for WithCare+ (GB 2467079) His research interests span cryptosystems , residue number systems , and reconfigurable hardware , with a focus on scalable security architectures and low-power medical devices . Recent publications highlight lattice-based cryptography and AI-driven glucose prediction using NIR/MIR spectroscopy and machine learning . Scientific accolades include a best paper award for RFID security and an innovation prize for diabetes technology. He has supervised over 25 PhD students, including graduates like Abdelaal A , Al-Mbaideen A , and Khan Z U A , and serves on research funding panels and conference Technical Program Committees.

• Internet Measurements
• Internet Architecture
• Low-end Internet
• +15 more

Justus Fries is a researcher at the Chair of Connected Mobility (I11) , Department of Informatics, Technical University of Munich. He focuses on Internet measurements, architecture, and decentralization , with specific interests in transport protocols (QUIC, TCP+TLS, WebRTC), congestion control, and low-end network performance. University: Technical University of Munich School: Department of Informatics Department: Chair of Connected Mobility (I11) Email: fries@in.tum.de His research examines cross-layer interactions in encrypted protocols ( QUIC, DNS, HTTP/3 ), network security, and web performance. Recent work explores Web of Things (WoT) systems and edge-to-cloud continuum architectures. Key contributions include datasets and analysis tools for broadband infrastructure evaluation (FCC Measuring Broadband America), with publications in top networking conferences like IFIP Networking.

Michael BassView profile

Associate Professor

• Medical Informatics
• Health Information Systems
• Electronic Health Records
• +4 more

Michael Bass serves as Research Associate Professor in the Department of Medical Social Sciences (Outcome and Measurement Science) at Northwestern University's Feinberg School of Medicine, with affiliations at the Institute for Augmented Intelligence in Medicine and Institute for Innovations in Developmental Sciences. Education: MS, University of Illinois, Chicago (1990) His research focuses on medical informatics infrastructure and electronic health record integration , specializing in secure software architecture for patient-reported outcomes systems. As principal architect of the PROMIS Assessment Center, he developed critical components including data encryption protocols, CAT algorithm implementation, and secure synchronization frameworks for clinical research data capture. Recent publications (2025) demonstrate consistent contributions to implementation science methodology, cancer care informatics, and orthopaedic assessment tools, with emphasis on practical health IT solutions for real-world clinical settings and research consortia. Professional Leadership: Scientific Advisory Board Member, Medable (2016–Present) Consultant, Argonaut Project (2018–Present) Member, Northwestern Memorial PRO Steering Committee (2016–Present) Member, American Medical Informatics Association (2015–Present) He directs strategic development of health IT standards through active participation in national initiatives including the Office of the National Coordinator for Health IT and clinical trial management system task forces.

Milind KulkarniView profile

Professor

• Programming Languages and Compilers
• Parallel and Distributed Computing
• Privacy-Preserving Computation
• +4 more

Milind Kulkarni is a Professor and the Michael and Katherine Birck Head at the Elmore Family School of Electrical and Computer Engineering at Purdue University . He earned degrees from North Carolina State University (B.S. 2002) and Cornell University (M.S. 2005, Ph.D. 2008) under advisor Keshav Pingali . His research focuses on compiler and programming language design for privacy-preserving computation , GPU acceleration , and parallel execution of irregular algorithms . Recent publications emphasize Vectorization in FHE (ASPLOS 2023, PPoPP 2025) Sparse Tensor Optimization (ICS 2022, ICS 2024) Ray Tracing Hardware Utilization (ICS 2023, ICS 2024) His research group has received numerous accolades including 4 IEEE TCSE Distinguished Paper Awards , 3 Purdue Seed for Success Awards , and 2 Presidential Early Career Awards . Current advisees include Raghav Malik and Vani Nagarajan , while former students have joined institutions like Amazon Web Services and Virginia Tech . He leads the PurPL programming languages research group and collaborates with the Center for Resilient Infrastructures (CRISP).

Abhijit MishraView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Conversational AI
• +3 more

Abhijit Mishra is an Assistant Professor at the University of Texas School of Information, where he teaches courses in Applied Machine Learning, Natural Language Processing (NLP), Deep Learning, and Human-Centered Data Science. He holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Bombay and has previously worked as a research scientist at Apple and IBM Research, focusing on Siri and IBM Watson. Education: Ph.D. in Computer Science and Engineering (IIT Bombay) Bachelor of Technology in Computer Science and Engineering Research Interests: Machine Learning for NLP Large Language Models Cognition-Inspired NLP Multimodal Systems Conversational AI His recent publications focus on privacy-preserving AI, EEG-based text generation, hallucination detection in code summaries, and multimodal reasoning. He has received recognition for outstanding reviewing at EMNLP 2020 and ACL 2017. Abhijit mentors students in projects involving NLP, machine learning, and cognitive science applications, with recent theses on EEG-driven dialog systems and multilingual multimodal models.

Élie AwwadView profile

Associate Professor

• Telecommunication Systems
• Optical Fiber Sensors
• Digital Signal Processing
• +3 more

Élie Awwad is an Associate Professor (Maître de Conférences) in Optical Communications at Télécom Paris, part of Institut Polytechnique de Paris. He leads research in the Optical Telecommunications (GTO) group within the Information Processing and Communication Laboratory (LTCI) under the Department of Communications and Electronics (Comelec). He joined Télécom Paris in 2019 after working as a Research Scientist at Nokia Bell Labs. He holds M.Eng. degrees in Electrical Engineering from Lebanese University and Telecom Engineering from Télécom Paris (2011), and a PhD in Communications and Electronics from Télécom Paris (2015). His research focuses on optical fiber communications and sensing systems, specializing in: Telecommunication Systems Optical Fiber Sensors Digital Signal Processing Distributed Acoustic Sensing (DAS) Nonlinear interference mitigation Novel optical sensing interrogators His publications demonstrate strong emphasis on distributed fiber sensing techniques (especially phase-sensitive OTDR), coherent MIMO processing, machine learning for optical networks, and free-space optical communications. Recent work integrates quantum cascade laser technology and chaotic encryption methods with optical transmission systems. He currently supervises multiple PhD students and has secured research funding through national CIFRE agreements, ANR SAFER project, CIEDS FIBROUS project, and Celtic-Next AI-NET initiative. His lab focuses on developing advanced monitoring solutions for optical networks and improving distributed sensing capabilities over telecom infrastructure.

• Computational Physics
• Numerical Electromagnetics
• Applied Optics
• +10 more

Thomas Grosges is a Full Professor at the University of Technology of Troyes (France) since 2013, specializing in computational and numerical physics, electromagnetics, applied mathematics, and plasmonics. His academic journey includes an Associate Professorship at UTT (2004-2013), post-doctoral research at UCL/VKI (Belgium) and CORIA/UTT (France), a PhD in Theoretical Physics from Catholic University of Louvain (1999), and a Professorial Thesis (Habilitation) at University of Technology of Compiegne (2007). Research Domains: Computational Physics, Numerical Electromagnetics, Applied Mathematics, Near-Field Optics, Plasmonics, Photothermal Therapy Key Projects: Numerical solver developments for near-field microscopy, optimization of plasmonic nanostructures, adaptive meshing techniques, and applications in biomedical imaging/cryptography His scientific output includes 89 publications with 10,392 reads, focusing on: Photothermal cancer therapy using metallic nanoparticles 3D adaptive remeshing for electromagnetic/thermal simulations Positron Emission Tomography (PET) image reconstruction Plasmonic field enhancement and uncertainty propagation Development of pseudo-random generators using chaotic systems Professor Grosges holds a patent on tomographic encryption methods and has contributed to pedagogical works on the European Credit Transfer System (ECTS) and near-field optical microscopy signal processing.

Kemal Gökhan NALBANTView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Fuzzy Decision-Making Systems
• +3 more

Kemal Gökhan NALBANT is an Assistant Professor at the Department of Software Engineering, Faculty of Engineering and Architecture, Istanbul Beykent University, and serves as Deputy Director of the Institute of Science. His academic career spans multiple institutions including Istinye University and Istanbul Beykent University. Assistant Professor (2019–Present) Deputy Director, Institute of Science Published in 25+ international/national journals Active in 5G, AI, and Metaverse research Research focuses on Artificial Intelligence and Fuzzy Decision-Making Systems applied to: Digital Marketing & Metaverse Textile Defect Detection Campus Environment Design Renewable Energy Optimization Industrial IoT Reliability Recent articles emphasize machine learning and interval type-2 fuzzy methodologies across diverse domains. Collaborates with researchers in Turkey, China, and international networks. No scientific awards recorded in available texts.

Damian WeberView profile

Professor

• Cryptography
• IT Security
• Encryption
• +7 more

Damian Weber is a Professor at the Faculty of Engineering of Saarland University of Applied Sciences . He specializes in Cryptography and IT Security , with a focus on computational number theory and cryptographic protocols. Currently teaching Security Engineering and Cryptography Engineering modules, he maintains an active role in academic administration as Dean of Studies. Contact: damian.weber@htwsaar.de Office hours: Wednesday 10:30-11:30 (by prior registration) Location: Room 6313, Goebenstraße 40, Saarbrücken His research spans discrete logarithms , number field sieve , elliptic curve cryptosystems , and authenticated encryption . Publications demonstrate sustained contributions to cryptanalysis and cryptographic algorithm design since the mid-1990s.

• Data Management
• Information Systems
• Technology and Innovation Management
• +3 more

Cihan Bayraktar is a Lecturer at Karabük University's Eskipazar Vocational School, specializing in Information Security Technology . He holds a PhD in Management Information Systems (2017-2022) and a Master’s in Business Administration (2014-2016), with a BA in Computer Education and Instructional Technologies (2002-2006). Research Interests include data management, cybersecurity, AI technologies, and smart manufacturing systems. His work focuses on applying machine learning to industrial processes, energy optimization, and secure machine-to-machine communication . Recent publications examine blockchain for factory security and automated ML in agricultural classification. Scientific Contributions feature 15+ publications, including 2025 studies on dry-wet wear analysis using ML models employee resignation prediction algorithms AI in graphic design agencies . He received the 97.Yıl En Başarılı Doktora Tez Ödülü in 2023. Bayraktar collaborates on projects like ANOMALYNET (TÜBA/TÜBİTAK funded, 2015-2018) and serves on editorial boards for journals like Gazi University Journal of Science . His current roles include Head of Department and Vice Director at Eskipazar Vocational School.

• Programming Languages
• Compiler Technology
• Reversible Computation
• +5 more

Torben Ægidius Mogensen is an Associate Professor at the Department of Computer Science, University of Copenhagen, where he leads research in the Programming Languages and Theory of Computation section. His office is located at Universitetsparken 5, Copenhagen. His primary research focuses on: Automatic program analysis and transformation (especially partial evaluation and semi-inversion) Compiler technology for functional languages Domain-specific language design Reversible computing systems and languages Algorithms, complexity theory, and automata theory Applications in graphics and fractal generation His recent publications demonstrate a strong focus on reversible computation systems, including specialized programming languages like Hermes for encryption, reversible processor architectures, and functional programming extensions. His textbook publications on compiler design (2024) and programming language implementation (2022) indicate significant contributions to computer science education and foundational knowledge. He teaches courses on compilers, programming language technology, and game development, and maintains active research collaborations internationally. He is fluent in Danish and English, with working knowledge of German and Romanian.

Wenjie XiongView profile

Assistant Professor

• Computer Architecture
• Hardware Security
• Side-Channel Attacks
• +5 more

Wenjie Xiong is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He leads the BEARHW (Building Efficient and Resilient Hardware) lab focused on hardware security, leveraging hardware features to enhance system security and mitigate vulnerabilities. His research spans secure architectures, side-channel attacks, cryptographic co-design, and PUF-based security solutions. Xiong holds a Ph.D. from Yale University (2020) and has received notable awards including the 2024 Dean's Award for Outstanding New Assistant Professor. He has published extensively in top venues like ASPLOS, HPCA, and IEEE Transactions on Computers. Research Interests: Hardware Security & Privacy Computer Architecture Side-Channel Attacks & Mitigations PUF-Based Authentication Federated Learning Privacy Transient Execution Defense Grants & Awards: Dean's Award 2024 (Virginia Tech) Featured Paper in IEEE TC (2021) Best Student Paper Finalist (HOST 2017) Microsoft Research Fellowship (2015) Lab: BEARHW Lab focuses on secure hardware design, PUF implementations, and efficient security co-design. Current openings for postdocs/PhD students in hardware security.

Jonathan Passerat-PalmbachView profile

Research Fellow

• Artificial Intelligence
• Image Processing
• Distributed Computing
• +13 more

Dr. Jonathan Passerat-Palmbach is an Academic Visitor at the Department of Computing, Imperial College London, and a Research Fellow at Imperial College's BioMedIA group and City, University of London's CitAI. He holds a PhD in High Performance Computing from Blaise Pascal University. His research focuses on Privacy-Preserving Machine Learning (PPML), Federated Learning, Secure Computing, and Blockchain applications in decentralized systems. He explores technologies like Trusted Execution Environments (TEEs), Homomorphic Encryption, and Zero-Knowledge Proofs to address data sovereignty challenges. His work bridges AI and blockchain, tackling issues like Maximum Extractable Value (MEV) in blockchains and decentralized collaborative learning. Education: PhD in High Performance Computing (2013, Blaise Pascal University), MEng (2010, ISIMA), BSc (2007, Institut Universitaire et Technologique). Research Interests: Privacy Enhancing Technologies (PETs), Decentralized Computing, Federated Learning, Secure Computing (including TEEs and FHE), Verifiable Computing, Blockchain applications, and AI ethics. His projects include frameworks like ARIA for federated visual classification and 2CP for contributivity evaluation in blockchain-based FL. Publications Highlights: Over 50+ publications, including seminal work on privacy-preserving frameworks (e.g., A generic framework for PPDL), federated learning optimization (ARIA), and blockchain integration (e.g., MEV mitigation via decentralized commitment devices). Recent work addresses adversarial attacks in collaborative ML and end-to-end privacy in medical imaging. Awards & Recognition: Supervised students received Department prizes for excellence in projects (e.g., Bianca Ganescu, 2023; Dmitrii Usynin, 2020). His research has been featured at top venues like NeurIPS, ISBI, and IEEE conferences. Labs/Teams: Leads projects at BioMedIA (Imperial) and CitAI (City University), focusing on healthcare consortia and decentralized AI systems. Actively collaborates on tools like Split HE and 2CP protocols.