Find Academic Supervisors

• Biostatistics
• Statistics
• Non-parametric Methods
• +5 more

Dr. Ahmad Farooqi serves as Assistant Professor at Central Michigan University College of Medicine, where he provides statistical leadership through the Clinical Research Institute (CRI). He delivers weekly statistics instruction to medical trainees at Children's Hospital of Michigan and offers comprehensive analytical support for clinical research projects across the institution. His academic credentials include: Ph.D. in Biostatistics from Wayne State University M.S. and M.A. in Statistics from University of Windsor M.Phil in Statistics from Government College University, Lahore Dr. Farooqi's research pioneers non-parametric, robust, and exact statistical methodologies applied to pediatric clinical challenges. His work addresses critical gaps in small-sample clinical studies through innovative approaches to longitudinal data analysis, survival modeling, and diagnostic accuracy assessment. As a SAS-certified expert, he implements advanced techniques across SAS, R, and SPSS environments to solve complex analytical problems in cardiology, emergency medicine, and immunology research. His publication record demonstrates consistent high-impact contributions across pediatric specialties, with particular emphasis on cardiac outcomes, emergency department operations, and immunological responses. The research portfolio reveals strong methodological rigor combined with practical clinical applications, often addressing resource-constrained scenarios requiring robust analytical solutions. Key recognitions include: Best Article Award in Pediatric Neurology (2019) Best Paper Award at ICCS-15 statistical conference Wayne State University Full Tuition Scholarship Dr. Farooqi actively mentors medical researchers through statistical consulting and teaching, with collaborations spanning multiple departments and international institutions. His role in the CRI facilitates cross-disciplinary research partnerships while advancing methodological standards in clinical investigation. Current work focuses on refining statistical approaches for pediatric cardiac interventions and emergency care protocols through ongoing clinical data analysis projects.

Pankaj MehraView profile

Research Professor

• Memory Systems
• Parallel and Distributed Computing
• Artificial Intelligence
• +7 more

Pankaj Mehra is a Research Professor in the Department of Computer Science and Engineering at The Ohio State University and CEO of Elephance Memory, a company he founded that develops software for disaggregated data center memory optimization. He holds a Ph.D. in Computer Science from The University of Illinois at Urbana-Champaign and has extensive industry leadership experience including SVP/WW CTO at Fusion-io, VP/Senior Fellow roles at SanDisk and Western Digital, and VP positions at Samsung where he led SmartSSD development. His research focuses on memory-semantic fabrics (CXL, UALink), Memory Objects abstraction for data-centric programming, and AI Super Devices (AISDs) for near-data processing in AI workloads. Key interests include optimizing memory systems for Retrieval Augmented Generation (RAG), vector databases, and Approximate Nearest Neighbor Search (ANNS) algorithms. His notable scientific awards include: Samsung R&D Award (2019) for SmartSSD development CES R&D Innovation Award (2021) for SmartSSD Dr. Mehra founded HP Labs Russia and served as Chief Scientist until 2010. He is an active industry contributor to the Open Compute Project and DOE EMC3 initiatives, with scheduled presentations at the 2025 OCP Global Summit on composable memory systems and data-centric computing. His entrepreneurial ventures include Elephance Memory, IntelliFabric, Whodini, and AwarenaaS, with publications spanning 3 books and over 100 papers and patents in memory technologies and distributed systems.

• Immunology
• Vaccinology
• Malaria Research
• +4 more

Cyrielle Elyette Fougeroux serves as a Postdoctoral Researcher at the Department of Immunology and Microbiology within the Faculty of Health and Medical Sciences at the University of Copenhagen. Her research focuses on adenovirus vaccine platforms, malaria immunization strategies, and novel adjuvant development. She maintains active collaborations with international institutions including University Medical Center Freiburg, Sirion Biotech, and GSK, with her work on cVLP-based vaccines leading to patent development. Education: PhD in Immunology and Infectious Diseases (2014-2017), Center for Medical Parasitology, University of Copenhagen Master in Immunology (2011-2013), Pasteur Institute Immunology Advanced Program, Paris Bachelor in Physiology, Cellular and Molecular Biology (2009-2011), Paris Dr. Fougeroux's research centers on molecular mechanisms of immune responses against extracellular pathogens, with emphasis on adenovirus vectors for malaria vaccination and novel adjuvant systems. Her work bridges basic immunology and translational vaccine development, particularly investigating the EPCR-binding domains of PfEMP1 for malaria and capsid virus-like particles for SARS-CoV-2 and cancer applications. She has developed freeze-drying techniques enabling ambient-temperature vaccine storage, addressing critical distribution challenges in resource-limited settings. Analysis of her 17 publications reveals strong focus on capsid virus-like particle platforms across multiple disease targets. Her work demonstrates consistent innovation in vaccine vector design, with recent expansion into therapeutic cancer vaccines. The research shows progression from basic vector development (2022) to clinical translation (2023 Lancet Microbe paper) and novel applications in oncology (2025 publication), maintaining strong emphasis on molecular immunology mechanisms throughout. Scientific Recognition: Award for best presentation at Young Researcher Forum, Eurovaccine Conference, Paris Dr. Fougeroux actively supervises early-career researchers, having mentored 2 lab technician trainees, 1 medical student, 2 master's students, and 1 bachelor's student during her postdoctoral tenure. She manages laboratory operations including weekly group meetings, database creation, and standard operating protocols. Her international collaborations span Danish, German, and French institutions, with notable partnerships including the COUGH-1 trial study group and University Medical Center Freiburg. Current research includes adenovirus vaccine strategies, adjuvant development for extracellular pathogens, and malaria vaccine requirements evaluation.

Jie LuView profile

Associate Professor

• Software Security
• Program Analysis
• Vulnerability Detection
• +5 more

Jie Lu is an Associate Professor at the Institute of Computing Technology of the Chinese Academy of Sciences (ICT, CAS), where he leads research in software security and program analysis. His work focuses on developing advanced program analysis techniques to improve software reliability and security, with applications in cloud systems, distributed environments, and modern web applications. Dr. Lu's research interests include: Software Security: Focusing on vulnerability detection and prevention in open-source software Program Analysis: Specializing in static/dynamic analysis techniques and context-sensitive pointer analysis Cloud Systems: Researching distributed system security, crash-recovery, and concurrency bug detection His recent publications demonstrate a strong focus on practical security solutions for real-world systems. The research spans Kubernetes ecosystems, PHP applications, Linux kernel security, Java web applications, and Windows IPC systems. A notable trend is the development of precise static analysis techniques that balance efficiency with accuracy, addressing the longstanding challenge in program analysis. His work often bridges theoretical advances with practical implementations that have been adopted by industry. Dr. Lu has received several prestigious awards: ACM SIGSOFT Distinguished Paper Award 2025 Best Paper Honorable Mention at CCS 2022 Chinese Academy of Sciences Outstanding Doctoral Dissertation 2021 Chinese Academy of Sciences President's Special Award 2020 ICT New Hundred Stars 2020 Dr. Lu actively mentors students and researchers, recruiting PhD candidates, Master students, and research interns interested in software security and program analysis. His research has been supported by the National Natural Science Foundation of China, CCF-Huawei Innovation Research Plan, and CCF-Ant Research Fund. The Program Analysis Group (ICT-PAG) at the National Key Laboratory of Processor has successfully identified numerous errors and vulnerabilities in popular open-source applications, with over 200 severe bugs confirmed by the open-source community and assigned more than 100 CVE numbers. His research group, the Program Analysis Group (ICT-PAG), is based in the National Key Laboratory of Processor at ICT, CAS. The group has achieved significant impact through both academic publications in top venues (SOSP, CCS, USENIX Security, NDSS, OOPSLA, ISSTA, FSE, ASE, TSE) and practical applications in leading IT companies and government organizations.

María Belén Pérez LanchoView profile

Professor

• Multi-agent Systems
• Ambient Intelligence
• Context-aware Computing
• +5 more

María Belén Pérez Lancho is a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, Spain. With over 25 years of academic experience since completing her PhD in 1995, she maintains active affiliations with multiple research groups including BISITE (Bioinformatics, Intelligent Computing Systems and Educational Technology), CaUSAL (Academic Culture, Heritage and Social Memory), and Process Supervision and Control. Dr. Pérez Lancho earned her doctoral degree from the University of Salamanca with her thesis "Integrated process control system: a practical approach" supervised by Dr. Eladio Sanz García. Her academic foundation in systems engineering and automation has evolved into diverse research applications across multiple domains. Her research program demonstrates remarkable breadth while maintaining technical coherence. She has pioneered context-aware multiagent systems for home care environments, developing architectures like HoCa and HoCCAC that monitor patients and optimize task scheduling. In environmental science, she created hybrid intelligent systems for forest fire prediction using Case-Based Reasoning with topology-preserving algorithms. More recently, she has addressed cybersecurity challenges in educational technology through two-factor authentication systems. Her work consistently bridges theoretical computer science with practical implementations in real-world settings. Analysis of her publication trajectory reveals a consistent focus on adaptive intelligent systems that respond to environmental changes. Her earliest work established foundations in systems engineering, which evolved into sophisticated multi-agent applications across healthcare, environmental monitoring, and security domains. The most recent publications continue this trajectory while addressing contemporary challenges in educational technology security. Dr. Pérez Lancho maintains extensive collaborative relationships, particularly with Juan M. Corchado at the University of Salamanca, as evidenced by numerous co-authored publications. Her research has been implemented in actual home care environments and environmental monitoring systems, demonstrating the practical impact of her work. Her research infrastructure includes: BISITE group focusing on intelligent computing systems and educational technology CaUSAL group examining academic culture and heritage Process Supervision and Control group applying her foundational work to industrial contexts These affiliations support her interdisciplinary approach to solving complex problems through computational methods.