Find Academic Supervisors

Vicente Ordóñez-RománView profile

Associate Professor

• Computer Vision
• Natural Language Processing
• Machine Learning
• +3 more

Vicente Ordóñez-Román is an Associate Professor in the Department of Computer Science at Rice University, part of the George R. Brown School of Engineering. His research focuses on the intersection of computer vision, natural language processing, and machine learning, with an emphasis on fair, transparent, and interpretable AI. He leads the Vision, Language, and Learning Lab and contributes to the Ken Kennedy Institute's Closed-loop Computer Vision research cluster. Education: PhD in Computer Science (UNC Chapel Hill, 2015), MS in Computer Science (Stony Brook University), and Engineering (Escuela Superior Politécnica del Litoral, Ecuador). Prior roles include Assistant Professor at the University of Virginia (2016-2021) and visiting positions at Adobe Research, the Allen Institute for AI, and Amazon. Research Interests : Developing multimodal AI systems that integrate visual and textual data, mitigating biases in AI, and advancing generative models. His work emphasizes ethical AI and societal impact, as seen in his contributions to the whitepaper advocating for federal regulation of facial recognition technologies. Awards & Recognition : NSF CAREER Award (2021), Marr Prize (ICCV 2013), Best Paper at EMNLP 2017, and multiple industry grants from Google, Amazon, and Facebook. His research has been featured in media outlets like WIRED, The New York Times, and Bloomberg News. Advising & Grants : Supervises a diverse research group spanning PhD, MS, and undergraduate students. Secured over $1.8 million in external funding, including NSF grants, Amazon FAI awards, and Google Cloud credits. Leads initiatives on bias mitigation, AI ethics, and multimodal learning. Labs & Collaborations : Directs the Vision, Language, and Learning Lab (vislang.ai), collaborating with industry partners like Adobe, Amazon, and SAP. Engages in interdisciplinary projects at the Ken Kennedy Institute, focusing on closed-loop computer vision systems.

Christian HomburgView profile

Professor

• Marketing Management
• Sales Management
• Pricing Strategy
• +7 more

Prof. Dr. Christian Homburg holds the Chair of Business-to-Business Marketing, Sales & Pricing at the University of Mannheim's Faculty of Business Administration. Since 2007, he has been a Professorial Fellow at the University of Melbourne. His research spans marketing strategy, sales management, pricing, and customer relationship management, with a focus on business-to-business contexts. He collaborates with global firms such as Accenture, BOSCH, SAP, and BASF. Research Interests: Prof. Homburg explores topics like sales force automation, key account management, IoT in marketing, and augmented reality in sales. His work bridges academic theory and practical implementation, emphasizing organizational systems driving customer and competitor responsiveness. Scientific Awards: Hermann Billing Prize (1989) Multiple Best Paper Awards from the American Marketing Association (1997-2010) Louis W. Stern Award (2009) Best Paper Awards from Journal of the Academy of Marketing Science and Journal of Business to Business Marketing Publications: Author of 7+ editions of Marketing Management , co-editor of the Handbook of Customer Loyalty Management , and contributor to leading journals like Journal of Marketing and Strategic Management Journal .

• Embedded Machine Learning
• High-Performance Computing
• Computer Architecture
• +6 more

Holger Fröning is a full professor at Heidelberg University’s Institute of Computer Engineering (ZITI), where he leads the Hardware and Artificial Intelligence (HAWAII) Lab. His research focuses on embedded machine learning , high-performance computing , and hardware-software co-design , with emphasis on resource efficiency, power optimization, and emerging architectures like analog , photonic , and resistive memory systems. He has held leadership roles including Managing Director of ZITI (2023–present) and Dean of Studies for Computer Science (2019–2022) , and has collaborated with institutions such as NVIDIA Research, Chinese Academy of Sciences, and Graz University of Technology. Research Trends : His recent publications explore Bayesian neural networks , green machine learning , analog computing noise mitigation , and GPU/FPGA optimization . Articles highlight photonic computing for AI , memory-efficient training , and hardware-aware DNN compression . Scientific Awards : 2025 HiPEAC Paper Award (Nature Computational Science) 2014 Google Faculty Research Award Multiple Best Paper Awards (IPDPS, ICPP, ECML-PKDD workshops) Leadership & Service : Organized workshops (WEML, ITEM, F4HD), chaired tracks at EuroPar and ISC, and served on program committees for ICPR, ECAI, and FPL. Education & Affiliations : PhD and MSc from University of Mannheim (2007/2001). Sponsors include DFG, FWF, FFG, NVIDIA, SAP, and XILINX.

• Data Integration
• Data Management
• Data Preparation
• +5 more

Renée J. Miller is a Professor and Canada Excellence Research Chair in Data Intelligence at the Cheriton School of Computer Science, University of Waterloo. Her research focuses on data integration, data management, and open data systems. She holds a PhD in Computer Science from the University of Wisconsin-Madison and bachelor’s degrees in Mathematics and Cognitive Science from MIT. Her work addresses challenges in data preparation, integration, and curation, aiming to reduce the burden on data scientists. She co-authored foundational papers on data exchange and schema mapping, earning the ICDT Test-of-Time Award (2013) and the Alonzo Church Award (2020). Miller has led major initiatives like the NSERC Business Intelligence Network and the International Very Large Data Base Foundation. Her grants include NSERC Accelerator Awards and funding from IBM, SAP, and Microsoft. Notable students include Ariel Fuxman (SIGMOD Dissertation Award winner) and Oktie Hassanzadeh (IBM PhD Fellow). Her research group, the Miller Lab, develops tools like Clio for schema mapping and systems for data lake exploration (RONIN, JOSIE).

Nicole OndruschView profile

Professor

• Digital Transformation
• Innovation Management
• Design Thinking
• +3 more

Prof. Dr. Nicole Ondrusch is a Professor at Heilbronn University (HHN) within the Faculty of Computer Science. She specializes in teaching methodological fundamentals of software engineering, including ERP systems, Design Thinking, Change Management, and digital transformation. Her research focuses on educational concepts for computer science technologies and future-relevant skills. Key Roles and Projects: Member of BW-CAR doctoral center Organizer of Barcamp Heilbronn, an unconference teaching project fostering student teamwork Principal investigator in funded projects like DigiTrans (digital transformation education) and DEV:GAMES (educational game development) SAP Academic Board DACH spokesperson since 2021 Research Interests: Her work emphasizes innovative teaching methods such as Design Thinking, agile project implementation, and digital experimentation. She explores ethical AI education, interdisciplinary collaboration, and the societal impact of digital transformation. Nicole also develops practical teaching tools like virtual escape rooms and game-based learning frameworks. Grants & Partnerships: Funded by DAAD (DigiTrans), Stiftung Innovation, and others Collaborates with industry partners like SAP and local IT organizations (ConnectIT) Labs & Teams: She leads the Lab:D initiative, developing digital teaching platforms, and co-organizes the Barcamp, a student-led event integrating real-world project management and community building.

Kaitlyn ZhouView profile

Assistant Professor

• Natural Language Processing
• Human-Computer Interaction
• Artificial Intelligence Ethics
• +4 more

Dr. Kaitlyn Zhou is an incoming Assistant Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science, commencing August 2026. Her research focuses on human-language model interaction dynamics, with recognition at premier NLP and HCI conferences. Education: PhD in Computer Science, Stanford University (Advised by Dan Jurafsky) B.Sc., B.Se., M.S. in Computer Science and Human Centered Design and Engineering, University of Washington Research Focus: Her work investigates how language models shape human decision-making through three pillars: (1) identifying model overconfidence risks, (2) developing context-aware evaluation frameworks, and (3) reimagining interactions for marginalized user groups. This spans NLP, HCI, and AI ethics with emphasis on trust calibration and inclusive design. Publication Trends: Recent work examines human reliance on unreliable language models (NAACL 2025 Best Paper Runner-Up), uncertainty expression failures (ACL 2024), and evaluation metric limitations. Collectively, these advance responsible AI through human-centered methodologies across 12 major publications from 2017-2025. Scientific Awards: NAACL Best Paper Runner-Up (2025) MIT EECS Rising Star (2024) Stanford Graduate Fellowship College of Engineering Dean's Medal School of Engineering Dean's Medal of Excellence (UW) Advising & Grants: Supported by Stanford Graduate Fellowship and research internships at Microsoft Research FATE (hosted by Olteanu/Blodgett) and Allen Institute for AI (hosted by Sap/Hwang/Ren). Will recruit NLP/HCI students at Cornell starting 2026. Appointed by Washington Governor to UW Board of Regents, advocating for educational equity. Research Ecosystem: Collaborates with Stanford's NLP group, Microsoft's FATE team, and Allen Institute researchers. Features in NYT/WSJ for methods impacting real-world AI deployment.

Jia ZhangView profile

Professor

• Machine Learning
• Natural Language Processing
• Information Retrieval
• +10 more

Dr. Jia Zhang is the Inaugural Robert H. Dedman Jr. Endowed Department Chair and Professor of Computer Science at Southern Methodist University (SMU Lyle School of Engineering). She holds the Cruse C. and Marjorie F. Calahan Centennial Chair in Engineering and has a courtesy appointment in the Department of Operations Research and Engineering Management. Her research focuses on applying machine learning, natural language processing, and information retrieval to data science infrastructure, particularly scientific workflows, provenance mining, software discovery, knowledge graphs, cloud computing, immune AI, and applications in earth science and healthcare. Education: Ph.D. in Computer Science, University of Illinois at Chicago M.S. in Computer Science, Nanjing University B.S. in Computer Science, Nanjing University Dr. Zhang's work emphasizes data science infrastructure and machine learning for scientific workflows and knowledge graphs. Her recent publications highlight deep learning , graph neural networks , and optimization algorithms in cloud computing, cybersecurity, and environmental applications. Key trends include spatiotemporal modeling , hybrid neural architectures , and AI-driven service ecosystems . Scientific Awards: Best Paper Awards IEEE SCC (2011, 2017) Best Student Paper Awards IEEE ICWS (2014, 2018), IEEE ICCC (2018) Distinguished Paper Award ICSOC (2023) First Outstanding Service Award IEEE Technical Committee on Services Computing (2016) She has secured over $5 million in federal grants (as PI) and $11 million as PI/Co-PI from NSF, NASA, NIH, UTSW, Ericsson, SAP, and Google. Her lab (Caruth Hall 308) actively recruits research assistants. She previously served as a faculty member at Carnegie Mellon University, Northern Illinois University, and Nanjing University, and worked in industry as a software architect.

Satish NambisanView profile

Professor

• Innovation management
• Digital Innovation
• Entrepreneurship
• +6 more

Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.

Sudha RamView profile

Professor

• Big Data Analytics
• Business Intelligence
• Large Scale Network Science
• +12 more

Sudha Ram is the Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation at the Eller College of Management, University of Arizona. She holds joint faculty appointments as Professor of Computer Science and is a member of the BIO5 Institute and the Institute for the Environment. She is also the Director of INSITE: Center for Business Intelligence and Analytics, a leading research center in data-driven decision-making. Her research focuses on Big Data Analytics , Business Intelligence , Large Scale Network Science , and Machine Learning , with applications in healthcare, smart cities, environmental policy, and social media. She has pioneered methods in explainable AI, conceptual modeling, and multimodal data fusion, integrating statistical, ontological, and machine learning approaches. Recent publications demonstrate a strong trend in healthcare analytics (e.g., asthma, diabetes, fracture prediction), explainable AI (ROLEX, argumentation-based models), and urban/smart systems (mobility, wearables, environmental impact). Her work consistently appears in top-tier journals and conferences, reflecting sustained scholarly impact. AIS Fellow (2018) INFORMS ISS Distinguished Fellow IBM Faculty Award Peter Chen Award Best Paper Award, IEEE Smart Cities (2016) Best Paper Award, ACM Digital Health (2016) Woman of Impact Award, University of Arizona (2023) Dr. Ram has secured over $70 million in research funding from agencies like NSF, NASA, CIA, and corporations including IBM, Intel, and SAP. She has mentored numerous students and leads a multidisciplinary research team at INSITE. She has held editorial leadership roles in Information Systems Research , Journal of AIS , and is founding co-editor of the Journal of Business Analytics . She directs the INSITE Center, which fosters collaboration across business, computer science, and health domains, enabling large-scale data synthesis and knowledge discovery. The center supports projects in healthcare innovation, smart cities, and environmental policy analytics.

Anindita BanerjeeView profile

Associate Professor

• Science Fiction
• Environment and Sustainability
• Migration and Borders
• +6 more

Anindita Banerjee is an Associate Professor in the Department of Comparative Literature at Cornell University's College of Arts and Sciences, with cross-appointments in the Environment & Sustainability Program, History of Art and Visual Studies, Literatures in English, and Romance Studies. She serves as SAP Core Faculty for the South Asia Program and has been instrumental in establishing Cornell's Environmental and Sustainability Program, where she built and chaired the environmental humanities concentration for four years. Her research explores the relationship between imagining and making futures across diverse contexts, focusing on the evolving interfaces between science, technology, and culture; natural and built environments; media and information systems; and the migration of people, things, ideas, and images. Spanning Eastern Europe, Central Asia, the Indian subcontinent, and Latin and African Americas, her work examines networks of exchange, innovation, production, and consumption that emerge outside conventional coordinates of the modern world. Her scholarship has been featured in BBC Culture, Radio Free Europe, Medium, and Meduza. She has authored multiple books including the award-winning We Modern People: Science Fiction and the Making of Russian Modernity (2013), which won the Science Fiction and Technoculture Studies book prize, and is currently working on Reactionary Worldbuilding (MIT Press, 2026) and Border Environments (Cornell, 2026). Her research demonstrates consistent engagement with science fiction as a critical lens for examining global environmental, technological, and social transformations. Science Fiction and Technoculture Studies book prize Ivy+ Mellon Leadership Fellow (2024-25) Academic Venture Fund grant from Cornell Atkinson Center for Sustainability Social Sciences and Humanities Research Fellowship Banerjee serves as a faculty fellow of the Cornell Atkinson Center for Sustainability and is a participating member of cross-college programs in Biology and Society, Media Studies, and Visual Studies. She co-led a workshop series and engaged-learning course on border spaces and environmental justice supported by a grant from the Mario Einaudi Center for International Studies. As an Ivy+ Mellon Leadership Fellow, she serves as Special Assistant to the Dean of the Cornell School of Continuing Education, focusing on academic leadership and governance with an emphasis on diversity and inclusion.

• Web Security
• Software Security
• Secure Programming
• +3 more

Prof. Dr. Martin Johns serves as Chair of Application Security at the Institute for Application Security within the Carl Friedrich Gauss Faculty at Technical University Braunschweig. He joined TU Braunschweig after working as Research Expert at SAP Security Research, where he shaped security strategy and led software security teams. Prior to SAP, he worked as software engineer in Germany at companies like TC Trustcenter and Infoseek Germany. Academic qualifications include a PhD in Computer Science (University of Passau, 2009) and a Diploma in Computer Science (University of Hamburg, 2003). His research focuses on web security and software security , particularly secure programming , vulnerability detection , and attack mitigation strategies. Recent publications cover topics like GDPR compliance frameworks , WebAssembly security , federated learning privacy , and server-side request forgery (SSRF) defenses. His work appears in top conferences including IEEE S&P, CCS, WWW, and ACM CODASPY.

Wenxuan ZhangView profile

Assistant Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multilingual Language Models
• +5 more

Dr. Wenxuan Zhang is a tenure-track Assistant Professor at the Information Systems Technology and Design (ISTD) Pillar of Singapore University of Technology and Design (SUTD), supported by the prestigious SUTD Assistant Professorship (SAP) award. He holds a PhD from The Chinese University of Hong Kong and previously worked as a research scientist at Alibaba Group Singapore. His research focuses on advancing large language models (LLMs) to be both inclusive (supporting multilingual capabilities) and trustworthy (ensuring safety and robustness). Key projects include SeaLLMs (specialized for Southeast Asian languages), Babel (serving 90% of global speakers), and M3Exam (LLM evaluation framework). Education: PhD in Computer Science, The Chinese University of Hong Kong Previous roles: Research Scientist at Alibaba Singapore (2022) Research Interests: Multilingual LLMs, AI safety, model evaluation, and cross-lingual adaptation. He leads projects addressing LLM trustworthiness through safety mechanisms and fair evaluation practices. Awards & Recognition: SUTD Assistant Professorship (2025) Alibaba Star (2022) ITU Best Innovate for Impact Award (2024) Service & Leadership: Area Chair for NeurIPS 2025, ACL 2025, and multiple other top conferences. Actively contributes to program committees for conferences like ICLR and EMNLP. Current Projects: Multilingual LLMs, model compression, safety frameworks, and evaluation methodologies. Openings for PhD/Postdoc researchers in these areas.

Holger WittgesView profile

Researcher

• Digital Transformation
• Cloud Computing
• Enterprise Resource Planning (ERP)
• +7 more

Holger Wittges is the Managing Director of the SAP University Competence Center (UCC) at the Technische Universität München (TUM) . His work focuses on Digital Transformation , Next Generation ERP , and Hybrid Cloud infrastructure. He is affiliated with the KrcmarLab and collaborates with IBM via the OpenPOWER@TUM initiative. Educational Background: 2004: Dr. rer. oec. (Promotion), Universität Hohenheim 1996: Diplom Wirtschaftsinformatiker, Universität Bamberg Research Interests include Digital Transformation, Cloud Computing, Enterprise Resource Planning (ERP), XaaS (Everything as a Service), and Service-Oriented Architecture (SOA). His work bridges academic innovation with industry needs through SAP UCC TUM, which provides 40+ educational service bundles like SAP HANA and S/4HANA for teaching and research. Recent Publications highlight advancements in machine learning for ERP support ticket systems, energy efficiency in SAP S/4HANA, and educational frameworks for cloud-based enterprise software. Articles emphasize collaboration with institutions across Europe and contributions to digital ecosystems like the SAP University Alliances. Key Projects include the OpenPOWER@TUM initiative with IBM, focusing on accessible AI/ML infrastructure for academia, and the SAP UCC TUM, which drives Education as a Service (EaaS) strategies for digital business ecosystems.

Franz Lennard RicklefsView profile

Professor

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +5 more

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

Brendan ChoatView profile

Professor

• Plant hydraulics
• Xylem function
• Drought stress responses
• +6 more

Professor Brendan Choat is a leading plant physiologist and Professor at the Hawkesbury Institute for the Environment, Western Sydney University. With a distinguished career in plant hydraulics and water relations research, he has established himself as a global expert in understanding how plants respond to drought stress. His work spans both natural ecosystems and agricultural systems, with particular emphasis on Australian native forests and crop species. Choat's research focuses on the intricate relationship between plant water transport systems and environmental stressors, particularly drought. His work examines how the xylem tissue functions as a hydraulic system that must balance water delivery to leaves while avoiding cavitation (embolism) that can lead to plant mortality. His groundbreaking research has demonstrated that many woody plant species operate close to their physiological safety margins with respect to drought, making them vulnerable to future climate changes. His laboratory employs cutting-edge non-invasive imaging techniques, including X-ray Micro Computed Tomography (microCT) and Magnetic Resonance Imaging (MRI), to directly visualize xylem function in living plants. This approach has allowed his team to address fundamental questions about how cavitation forms and spreads through plant vascular systems during drought stress. Analysis of Professor Choat's extensive publication record reveals a consistent focus on plant drought responses, with particular emphasis on Eucalyptus species and mangrove ecosystems. His research has increasingly incorporated large-scale monitoring approaches, remote sensing data, and trait databases to understand vegetation responses to climate extremes across broader spatial scales. Clarivate Highly Cited Researcher (2018-2024) ARC Future Fellowship (2013) Humboldt Fellowship for Experienced Researchers (2010) Thomson Reuters Citation and Innovation Award (2015) Professor Choat leads multiple significant research projects examining tree dieback in Australian forests, particularly focusing on Eucalyptus species. His work with citizen scientists through the 'Dead Tree Detective' project has provided valuable data on drought impacts across diverse forest biomes. He maintains active collaborations with researchers across Australia and internationally, contributing to large-scale initiatives like the AusTraits plant trait database. His research has direct implications for forest management, conservation strategies, and predicting ecosystem responses to climate change.