جست‌وجوی استاد و پژوهشگر

• Air Pollution Control
• Odor Treatment Technologies
• Volatile Organic Compounds (VOCs) Removal
• +۷ مورد دیگر

Professor Ji Hyeon Song is a distinguished researcher in the Department of Civil and Environmental Engineering at Sejong University, specializing in air pollution control and environmental engineering. With a Ph.D. from the University of Texas at Austin and extensive research experience, she has established herself as a leading expert in odor treatment technologies and VOCs removal. Her educational background includes: Ph.D. in Environmental Engineering, University of Texas at Austin (2001) M.S. in Environmental Engineering, Seoul National University (1993) B.S. in Environmental Engineering, Seoul National University (1991) Professor Song's research focuses on innovative solutions for air pollution challenges, particularly in biological treatments of air pollutants using microorganisms, advanced oxidation processes including catalytic ozone oxidation and electrochemical oxidation, and combined systems for air pollution control. Her work bridges fundamental science with practical applications for VOCs and odor control technologies. Her research has significant implications for environmental sustainability and public health. An analysis of her recent publications reveals a strong focus on catalytic oxidation processes for VOC removal, hydrogen sulfide treatment in wastewater systems, and innovative combined approaches for simultaneous pollutant removal. Her work consistently emphasizes practical engineering solutions that can be implemented in real-world environmental systems. Professor Song has maintained an active research program with consistent publication output over more than two decades, demonstrating sustained scholarly productivity and impact in her field. Her research group develops and tests various technologies including electrochemical oxidation systems, catalytic ozone processes, and biofiltration methods for air and water treatment applications. Current projects appear to be focused on optimizing catalyst systems for room-temperature pollutant removal and developing integrated approaches for simultaneous treatment of multiple contaminants.

• Textile Engineering
• Smart Textiles
• Textile Sensors
• +۴ مورد دیگر

Helder Carvalho is an Associate Professor at the University of Minho's School of Engineering, Campus de Azurém, where he also serves as Director of the Department of Textile Engineering and Director of the Master's program in Textile and Accessories Product Design and Innovation. His academic career spans over three decades, with a focus on textile engineering and its intersection with electronics and automation systems. His educational background includes: PhD in Textile Engineering (2004) from University of Minho, School of Engineering MSc in Textile Engineering (1998) from University of Minho, School of Engineering BSc in Electrotechnical and Computer Engineering (1992) from University of Porto, Faculty of Engineering Professor Carvalho's research primarily focuses on smart textiles, textile sensors, and instrumentation systems for industrial sewing machines. His work bridges the gap between traditional textile manufacturing and modern electronics, creating innovative solutions for interactive textiles and wearable technology. He has particular expertise in developing flexible sensors that can be integrated into fabrics for applications ranging from sports performance monitoring to healthcare. His recent publications demonstrate a strong trend toward sports applications of smart textiles, with numerous papers on fencing apparel, karate body protectors, and general athletic performance monitoring. The research spans material science, sensor development, and user experience design, showing a comprehensive approach to creating functional and attractive smart textile products. Professor Carvalho has received recognition through research funding from major institutions: BE@T Bioeconomy Textile and Clothing (current) Greenauto - Green Innovation for the Automotive Industry (current) Factor ST+ (2021-2023) FAMEST (2017-2020) TSSIPRO (2016-2019) He has directed multiple academic programs including the Master's in Textile and Accessories Product Design and Innovation, and coordinated educational initiatives like the CET 'Fashion Commerce' program. His work at the Textile Science and Technology Centre demonstrates a commitment to translating research into practical applications across sports, healthcare, and industrial manufacturing sectors.

Saikat Duttaمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Saikat Dutta is an Assistant Professor in the Department of Computer Science at Cornell University. He is affiliated with the Software Engineering Group and focuses on the intersection of Software Engineering and Machine Learning . His work aims to enhance the reliability of ML-based systems while applying ML techniques to solve software engineering challenges. PhD in Computer Science from University of Illinois Urbana-Champaign (Summer 2023) Postdoctoral Researcher at University of Pennsylvania Bachelor's in Computer Science and Engineering from Jadavpur University Research Interests: Dr. Dutta's research spans several key areas: Automated test generation and debugging for ML/DL libraries Using AI/ML for automated software engineering tasks Improving performance of regression tests in ML libraries Static and dynamic analysis for probabilistic programming Article Trends: His recent publications emphasize: Automated testing of ML systems Security vulnerability detection using LLMs Probabilistic program analysis Neurosymbolic learning frameworks Flaky test management in stochastic environments Stochastic regression test optimization Scientific Awards: Meta AI LLM Evaluation Research Grant (2025) Mavis Future Faculty Fellowship (2022-23) Facebook PhD Fellowship (2020-22) 3M Foundation Fellowship (2019-2020) Advising & Grants: Dr. Dutta actively recruits PhD students and postdocs. He leads research projects supported by grants from Meta AI and participates in program committees for top conferences like ICSE and ISSTA. His lab focuses on neurosymbolic systems and ML-based software verification.

Jocelyn Alcántara-Garcíaمشاهده پروفایل

دانشیار

• Conservation Science
• Cultural Heritage Materials
• Textile Conservation
• +۵ مورد دیگر

Jocelyn Alcántara-García is an Associate Professor in the Department of Art Conservation at the University of Delaware, with a joint appointment in the Department of Chemistry and Biochemistry since 2023. She specializes in conservation science, focusing on the forensic analysis and preservation of cultural heritage materials, particularly textiles and archival objects. Education: B.S. in Chemistry – National Autonomous University of Mexico (UNAM) Ph.D. in (Inorganic) Chemistry – National Autonomous University of Mexico (UNAM) Postdoctoral Fellowship – Johns Hopkins University (Andrew W. Mellon Postdoctoral Fellow) Conservation Studies – National School of Conservation, Restoration and Museography (ENCRyM) Internship in Polymers – Brno University of Technology, Czech Republic Conservation Science Fellowship – National Museum of Contemporary Art Reina Sofia, Spain Research Focus: Dr. Alcántara-García’s work is deeply interdisciplinary, bridging chemistry, conservation science, and cultural heritage studies. Her research is structured around three core areas: forensic analysis of historical materials, reverse engineering and degradation mechanisms of heritage textiles, and the development of non-destructive techniques for studying cultural artifacts. She also integrates innovative pedagogical approaches to attract and retain students in STEM fields, using cultural heritage as a focal point for teaching chemistry and conservation science. Publications Overview: Her scholarly output reflects a consistent focus on the application of advanced analytical techniques to the study of historical materials. Topics include the non-destructive identification of dyes and pigments, the degradation of copper-based pigments, and the use of spectroscopic and chromatographic methods in conservation science. Her work often involves collaboration with conservators, historians, and scientists, and is published in high-impact journals in the fields of conservation, chemistry, and cultural heritage. Scientific Awards & Honors: Andrew W. Mellon Postdoctoral Fellowship Phi Kappa Phi Honor Society Membership Sigma Xi Scientific Research Society Membership Advising & Mentorship: Dr. Alcántara-García is actively involved in mentoring students across multiple departments and institutions. She works with undergraduate and graduate students in Art Conservation, Chemistry and Biochemistry, and the Winterthur/University of Delaware Program in Art Conservation (WUDPAC). Her mentorship emphasizes interdisciplinary research and hands-on experience with analytical instrumentation in cultural heritage contexts. Labs & Affiliations: She is affiliated with the Winterthur Museum, Garden and Library, where she conducts research and teaches WUDPAC students. She also engages with students and collaborators in Old College and Lamont DuPont/Brown/Drake facilities at the University of Delaware.

Lotty Hooftمشاهده پروفایل

استاد

• Evidence-Based Medicine
• Systematic Reviews
• Diagnostic Test Accuracy
• +۳ مورد دیگر

Lotty Hooft is a Full Professor at Utrecht University, affiliated with the University Medical Center Utrecht (UMC Utrecht), where she contributes to strategic research programs in Child Health and Methodology development. She holds key external roles as a member of the independent advisory committee for the Advenzo funding scheme at Zorginstituut and the Cochrane Council and Methods Groups for Prognosis, Screening, and Diagnostic Tests. Her research focuses on Evidence-Based Medicine, specializing in Systematic Reviews and Diagnostic Test Accuracy, with clinical applications in Paediatric and Perinatal Medicine. She investigates methodological challenges such as bias in diagnostic studies using expert panels, stakeholder engagement in paediatric trial reporting, and neonatal outcomes in preterm infants. Her work bridges rigorous methodology with real-world clinical impact across diverse medical domains. Analysis of her 2025 publications reveals a cohesive trajectory in advancing diagnostic methodology—particularly in reference standard development and bias mitigation—while expanding into patient-centered paediatric research and neonatal care. Her contributions to sleep medicine diagnostics and workforce well-being further demonstrate cross-disciplinary relevance in improving healthcare systems and clinical practice. No scientific awards were documented in the provided materials. Professor Hooft actively shapes research funding through her Advenzo committee role, evaluating project proposals and subsidy applications, though specific grant awards or student mentorship details remain unreported. Her Cochrane involvement underscores leadership in global evidence synthesis standards, yet no laboratory or dedicated research team structure is specified in the current data.

Nandika Bandaraمشاهده پروفایل

دانشیار

• Food Science
• Protein Chemistry
• Nanotechnology
• +۴ مورد دیگر

Dr. Nandika Bandara serves as Associate Professor and Tier 2 Canada Research Chair in Food Proteins and Bioproducts at the University of Manitoba's Department of Food and Human Nutritional Sciences within the Faculty of Agricultural and Food Sciences. Her research program focuses on advancing sustainable protein technologies for food, materials, and bioproduct applications through integration of material science and nanotechnology. Education: CFS (Certified Food Scientist), Institute of Food Technologists / International Food Science Certification Council PhD (Food Science & Bioresource Technology), University of Alberta, Canada MSc (Food Science & Technology), University of Alberta, Canada BSc (Agriculture), University of Peradeniya, Sri Lanka Dr. Bandara's research explores protein and biopolymer-based nanostructures for bioactive delivery, sustainable protein extraction from Canadian crops and byproducts, and renewable biopolymers for food packaging and biomedical materials. Her lab investigates novel processing technologies' effects on protein structure-function relationships using advanced characterization techniques. Current projects include protein-lipid conjugation for nanodelivery systems, feather keratin-based wound-healing materials, and deep eutectic solvents for protein extraction. Her publication record demonstrates strong focus on plant protein valorization, nanodelivery systems, and functional materials. Key trends include development of electrospun nanofibers, protein-based packaging films reinforced with nanocellulose, and metabolomics approaches for bioactive compound analysis in Canadian berries. The research bridges fundamental protein chemistry with industrial applications in sustainable food systems. Awards and Honors: Outstanding Volunteer Service Award of the Food Chemistry Division at Institute of Food Technologists (IFT) - 2019/2020 Institute of Food Technologists (IFT) Emerging Leaders Network (ELN) Program finalist - 2019 Natural Science and Engineering Research Council (NSERC) of Canada Postdoctoral Fellowship - 2018 Agricultural Institute of Canada Foundations' (AICF) Karl C Iverson Agricultural Scholarship - 2016 MITACS Accelerate Graduate Scholarship - 2015 Queen Elizabeth II Doctoral Graduate Scholarship - 2015 American Oil Chemist Society Honored Student Award - 2015 Graduate Student Teaching Award of the Faculty of Graduate Studies and Research/ Faculty of Agricultural, Life and Environmental Sciences, University of Alberta - 2015 Alberta Innovates Technology Futures Graduate Student Doctoral Scholarship Dr. Bandara actively supervises graduate students through the University of Manitoba's Food and Human Nutritional Sciences program and holds an adjunct professorship at Dalhousie University. She serves as Associate Editor for Food Chemistry Journal and on the editorial board of Food Research International. Her research is supported by her Canada Research Chair position and industry partnerships focused on Canadian agricultural innovation. She directs the Food Proteins and Bioproducts Lab at the Richardson Centre for Food Technology and Research, which specializes in protein characterization, nanomaterial development, and sustainable extraction technologies. The lab collaborates with researchers across Canada and internationally to translate fundamental discoveries into industrial applications for food, packaging, and biomedical sectors.

Shauna C. Henleyمشاهده پروفایل

پژوهشگر

• Food Safety
• Nutrition
• Food Preservation
• +۴ مورد دیگر

Dr. Shauna C. Henley is a Senior Agent and Affiliate Agent in the Department of Nutrition & Food Science at the University of Maryland , affiliated with the College of Agriculture and Natural Resources . She specializes in food safety education , nutrition , and consumer behavior research , with a focus on improving safe food handling practices across the supply chain. Dr. Henley earned her B.S. in Biology from Muhlenberg College, an M.S. in Nutrition & Food Science from the University of Vermont, and a Ph.D. in Biology with a concentration in Human Nutrition from Drexel University. Her research spans food safety education , behavioral interventions , and community-based extension programs , including workshops on boiling-water-bath canning and FSMA compliance for farmers and food entrepreneurs. Her 15 most recent publications (2017-2025) address critical food safety issues, including home canning practices , Salmonella prevention , and consumer education strategies . She has received recognition such as the University of Maryland Extension Excellence Award (2025) and the Best in Class award from the Association for Communication Excellence (2025) for ProduceTRAINer.org. Dr. Henley has secured multiple grants, including a USDA-FSOP grant for food safety training and a McCormick Science Institute grant for herb and spice safety research. She leads initiatives like the Food Safety Action Team and contributes to national food safety campaigns , such as the widely recognized ' Don't Wash Your Chicken! ' project.

Cristian Gómez Canelaمشاهده پروفایل

استاد

• Environmental Toxicology
• Neurotoxicology
• Analytical Chemistry
• +۵ مورد دیگر

Cristian Gómez Canela is a Full Professor in the Department of Analytical and Applied Chemistry at IQS School of Engineering (IQS - Institut Químic de Sarrià), specializing in environmental analytical chemistry with a focus on neurotoxicology and aquatic toxicology. He leads the Environmental Process Engineering and Simulation Group and maintains an active research profile with significant h-index metrics reflecting substantial scholarly impact. His research interests center on environmental toxicology, particularly neurotoxicology of pharmaceuticals and other contaminants in aquatic systems. Using advanced analytical techniques including liquid chromatography and tandem mass spectrometry, his work examines the effects of neuroactive compounds on model organisms like zebrafish and Daphnia magna . His fingerprint reveals strong expertise in neurotransmitter analysis (66%), Daphnia magna toxicology (64%), serotonin-related research (27%), and neurotoxicity mechanisms (21%). His publication record shows consistent productivity with 92 scientific outputs, demonstrating increasing research activity from 2011 to the present, with particularly strong output in recent years (15 publications in 2024 alone). His work spans environmental chemistry, toxicology, and analytical methodology development, with a clear trajectory toward understanding the neurological impacts of environmental contaminants. Zebra Fish neurotoxicology (100%) Neurotransmitter analysis (66%) Daphnia magna toxicology (64%) Behavioral neuroscience (33%) Serotonin-related research (27%) Liquid chromatography methods (27%) Dr. Gómez Canela actively supervises doctoral research through the FI-2025 Joan Oró program and leads multiple significant research projects including CHEMIPARK (as Principal Investigator) and the GESPA environmental process engineering group. His current projects extend through 2028, indicating ongoing research activity and leadership in his field.

Alessandra Luchiniمشاهده پروفایل

استاد

• Nanotechnology
• Proteomics
• Molecular Medicine
• +۳ مورد دیگر

Alessandra Luchini serves as Professor in George Mason University's School of Systems Biology and the Center for Applied Proteomics and Molecular Medicine (CAPMM), where she pioneers nanotechnology solutions for cancer and infectious disease diagnostics. Her work bridges biomolecular interface engineering with clinical translation through advanced proteomic platforms. Education Ph.D. from University of Padova, Italy Research Focus : Dr. Luchini's program centers on nanoproteomics for biomarker discovery, specifically developing hydrogel-based affinity capture systems to detect urinary biomarkers of Lyme disease, Chagas disease, and tuberculosis. Her lab innovates in biomimetic membrane models using neutron reflectometry to study pathogen-host interactions, while translating findings into point-of-care diagnostic devices through CAPMM's clinical partnerships. Publication Trends : Recent work (2024-2025) reveals three converging trajectories: (1) urinary peptide diagnostics for tick-borne illnesses validated against clinical symptom scores, (2) engineered nanoparticle networks for pathogen sequestration in blood/plasma, and (3) membrane biophysics studies enabling targeted drug delivery. This integration of basic membrane science with clinical proteomics defines her translational approach. Awards 2023 SCHEV Outstanding Faculty Award for Virginia higher education Research Leadership : As CAPMM principal investigator, Dr. Luchini directs NIH-funded projects developing FDA-cleared diagnostic platforms. Her team collaborates with CDC on Babesia diagnostics and with oncology centers on field cancerization proteomics, while mentoring postdocs in nanoparticle engineering and mass spectrometry techniques. Infrastructure : The CAPMM core facility houses state-of-the-art mass spectrometers, neutron reflectometers, and GMP-compliant nanoparticle synthesis equipment, supporting her lab's work on urinary biomarker validation and affinity capture technology development.

Trenton R. Fosterمشاهده پروفایل

دانشیار

• Endocrine Surgery
• Thyroid Surgery
• Parathyroid Surgery
• +۷ مورد دیگر

Trenton R. Foster, M.D., is an Associate Professor of Surgery at Mayo Clinic College of Medicine, serving as a Consultant in the Division of Endocrine Surgery within the Department of Surgery. He holds multiple leadership positions including Associate Program Director for the General Surgery Residency Program and Associate Director of Student Clerkships Programs. Dr. Foster is also the Physician Lead for the Collaborative Endocrine Surgery Quality Improvement Program (CESQIP) and serves on several important committees including the Clinical Competency Committee and the Department of Surgery Equity, Inclusion, and Diversity Committee. Dr. Foster's research focuses on optimizing surgical management of endocrine disorders, with particular emphasis on determining appropriate surgical extent for thyroid cancer, improving preoperative localization for parathyroid disease, and refining diagnostic approaches for adrenal tumors. His work utilizes national and institutional databases to understand disease behavior and improve patient outcomes through evidence-based practice. Analysis of Dr. Foster's recent publications (2023-2025) reveals a strong focus on clinical outcomes research across the spectrum of endocrine surgery. His work addresses critical questions regarding optimal surgical approaches for thyroid, parathyroid, and adrenal conditions, with particular attention to minimally invasive techniques, long-term outcomes, and quality improvement initiatives. The research demonstrates expertise in analyzing complex surgical datasets to derive practical clinical insights that directly impact patient care. His scientific achievements include: 2025 Focused Practice Designation in Adult Complex Thyroid and Parathyroid Surgery from the American Board of Surgery 2019 Dennis Wasson, M.D. Award for Outstanding Graduating Chief Resident from Yale University Multiple research awards from 2015-2016 including the SVS Foundation Resident Research Prize and Department of Surgery Best Basic Science Research Award at Yale Golden Key National Honor Society membership during undergraduate studies Dr. Foster actively mentors residents and medical students through his roles in the General Surgery Residency Program and student clerkships. He collaborates extensively with colleagues in endocrinology, radiology, and pathology to provide comprehensive, multidisciplinary care for patients with endocrine disorders. His research directly informs clinical practice, leading to improved preoperative evaluation, optimized surgical approaches, and enhanced postoperative care protocols while maintaining safety and effectiveness.

Christos Makrisمشاهده پروفایل

دانشیار

• Data Structures
• Information Retrieval
• Data Mining
• +۵ مورد دیگر

Christos Makris is an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece. His academic career spans over two decades with significant contributions to computer science, particularly in data structures, algorithms, and information systems. He maintains active research collaborations and supervises graduate students in his areas of expertise. Dr. Makris's research spans several key areas in computer science with a strong focus on efficient data organization and processing. His work encompasses Data Structures , Information Retrieval , Data Mining , String Management and Processing Algorithms , Computational Geometry , Internet Technologies , Bioinformatics , and Multimedia Databases . His interdisciplinary approach bridges theoretical computer science with practical applications across various domains including web technologies, bioinformatics, and emergency response systems. Analysis of Dr. Makris's publication record reveals a consistent research trajectory focused on efficient algorithms for information management. His work demonstrates evolution from foundational data structure research in the 1990s to more applied work in web technologies, social media analysis, and machine learning applications in recent years. A notable pattern is his ability to adapt core algorithmic techniques to emerging application domains while maintaining theoretical rigor. Dr. Makris maintains an impressive scholarly record with over 3,000 citations, an h-index of 29, and an i10-index of 71 according to Google Scholar metrics. These indicators reflect the significant impact of his research within the computer science community. As an active faculty member, Dr. Makris maintains regular office hours on Tuesdays from 18:00-20:00 and Thursdays from 12:00-14:00. He is accessible via email at makri@ceid.upatras.gr or makri@upatras.gr for academic inquiries and student supervision.

• Epidemiology
• Infectious Diseases
• Tuberculosis
• +۵ مورد دیگر

Dr. Maru Castellanos Reynosa is a Senior Lecturer in Epidemiology & Communicable Disease Control at James Cook University (JCU), Australia. She holds a BSc in Chemical Biology (Universidad de San Carlos de Guatemala), a Master’s in Medical Microbiology (Liverpool School of Tropical Medicine), and a PhD in Epidemiology (University of Georgia). Her expertise spans infectious disease epidemiology, particularly tuberculosis, malaria, and HIV, with a focus on low-resource settings in Africa and Latin America. Research interests include: epidemiological study design, infectious disease transmission dynamics, and public health interventions. Her work emphasizes molecular epidemiology, co-infections, and climate impacts on pathogen spread. Key contributions include studies on TB social networks, HIV-TB co-infection outcomes, and malaria in pregnancy. Key Achievements: Recipient of the Schlumberger Faculty for the Future Program (2016) and Fulbright LASPAU Fellowship (2013) Teaching Excellence Award at JCU (2023) and Dissertation Completion Award (UGA, 2018) Over 35 peer-reviewed publications and 2 active research projects, including a capacity-building initiative for tropical disease control Professional Affiliations: Royal Society of Tropical Medicine & Hygiene, American Society of Tropical Medicine & Hygiene, and Organization for Women in Science for the Developing World (OWSD).

Iftikhar Ahmadمشاهده پروفایل

استادیار

• Wide Bandgap Semiconductors
• Ultra-Wide Bandgap Semiconductors
• MOCVD Growth
• +۵ مورد دیگر

Dr. Iftikhar Ahmad serves as an Assistant Professor in the Department of Electrical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. He joined the faculty in 2018 after eight years in industry as a Senior Scientist developing ultra-wide bandgap materials for UV-LEDs, and prior post-doctoral and research professor roles at USC. His expertise lies in the growth and characterization of wide bandgap semiconductors for advanced electronic and optoelectronic applications. Dr. Ahmad earned his M.Sc. from Govt. College Lahore (ranking first in the state) and completed his M.S. and Ph.D. at Texas Tech University in 2003 and 2005, focusing on wide bandgap semiconductors. He furthered his training with post-doctoral work at Virginia Commonwealth University in MBE and MOCVD growth techniques. His educational background established the foundation for his current research in semiconductor materials engineering. His research centers on ultra-wide bandgap semiconductors, especially gallium oxide and boron nitride, for applications in deep UV LEDs and high-power electronics. He explores novel MOCVD growth methods for these materials and their integration with traditional III-nitrides (AlGaN) to advance device performance in optoelectronics and power electronics. Current projects focus on defect engineering, phase stabilization, and device fabrication for next-generation semiconductor technologies. Analysis of his recent publications reveals a strong emphasis on β-Ga2O3 and h-BN for next-generation devices. Key themes include MOCVD growth optimization, defect characterization, and device integration for radiation detectors, high-temperature transistors, and UV emitters. His work bridges materials science and electrical engineering to address critical challenges in wide bandgap semiconductor technology, with increasing focus on computational modeling and industrial applications. No scientific awards or fellowships were mentioned in the provided materials. Regarding advising, while specific students are not listed, Dr. Ahmad teaches core courses including Introduction to Microelectronics (ELCT 363) and Advanced Semiconductor Materials (ELCT 874), indicating active engagement in graduate and undergraduate education. Grant details are not specified, but his laboratory operations suggest external funding support for semiconductor research. Dr. Ahmad leads the Ultrawide Bandgap Semiconductor Laboratory, equipped with an MOCVD growth system, Oceanoptics spectrometer, and comprehensive characterization tools for electrical, optical, and atomic force microscopy. The lab supports research in materials growth, device fabrication, and testing, fostering innovation in semiconductor technology through collaborations with industry and government research programs.

• Mathematical Statistics
• Applied Statistics
• Probability Theory
• +۶ مورد دیگر

Holger Dette is a Professor and Chair Holder of Stochastics (specializing in Statistics) at the Faculty of Mathematics, Ruhr University Bochum. He leads the prominent Group Dette within the Institute of Statistics, overseeing a team of researchers, doctoral students, and administrative staff including Birgit Tormöhlen as team assistant. His research group is deeply integrated within the university's mathematical ecosystem, collaborating with other research groups across algebra, analysis, numerics, and topology. Dette's research spans mathematical statistics with strong applications in real-world problems. His primary interests include optimal experimental design, time series analysis, functional data, change point problems, nonparametric regression, biostatistics, special functions, goodness-of-fit tests, and random matrices . His work bridges theoretical statistics with practical applications, particularly evident in his collaborations with pharmaceutical giants Novartis and Bayer AG in biostatistics, as well as Quasol, a spin-off company from his statistics institute. His recent publications (2024-2025) reveal a research program increasingly focused on high-dimensional and functional data analysis, privacy-preserving statistics, and novel methodological approaches to longstanding statistical problems. Dette's work shows strong interdisciplinary connections, particularly with biomechanics (analyzing joint angles during fatigue phases) and data science (addressing challenges in the era of big data). His research group is actively involved in multiple DFG-funded projects including the newly established 'Small Data' collaborative research center (Sonderforschungsbereich 1597) and the Spatio-temporal Statistics for the Transition of Energy and Transport (Transregio 391). Dette has received significant recognition including the prestigious Humboldt Research Award . His paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors' achieved second place at the CSAW'24 Applied Research Competition MENA. His research group has also secured multiple significant funding awards from the German Research Foundation (DFG). As an advisor, Dette supervises numerous doctoral and master's students including Pascal Quanz, Marius Kroll, and Carina Graw. His group offers statistical consulting services for scientists and students across bachelor's, master's, and doctoral phases. The group maintains strong industrial partnerships, particularly in biostatistics applications, demonstrating Dette's commitment to translating theoretical statistics into practical solutions for real-world challenges.

Xin Pengمشاهده پروفایل

استاد

• Software Analytics
• Intelligent Software Development
• Microservice
• +۴ مورد دیگر

Xin Peng is a Professor and Deputy Dean at the School of Computer Science, Fudan University, China. He leads the CodeWisdom research team focusing on intelligent software engineering techniques for development, maintenance, and operation of software systems. His educational background includes a PhD in Computer Science (2001-2006) and Bachelor's degree in Computer Science (1997-2001), both from Fudan University. He progressed through the academic ranks from Assistant Professor (2006-2010) to Associate Professor (2010-2015) and finally to Professor (2015-present). Professor Peng's research interests span Software Analytics, Intelligent Software Development, Microservice systems, and AIOps. His work leverages AI technologies including deep learning and knowledge graphs to develop intelligent software engineering techniques. A significant portion of his recent work focuses on applying Large Language Models to various software engineering tasks, including vulnerability detection, API usage analysis, and test automation. His publication record shows a clear trend toward increasingly sophisticated applications of AI in software engineering, with recent work heavily featuring LLMs for tasks ranging from vulnerability patch porting to resource leak detection. The research spans multiple domains including microservice systems, automotive software, and Web of Things security. Best Paper Award of ICSM 2011 ACM SIGSOFT Distinguished Paper Award of ASE 2018 and 2021 IEEE TCSE Distinguished Paper Award of ICSME 2018, 2019, and 2020 IEEE Transactions on Software Engineering Best Paper award for 2018 Professor Peng serves in numerous leadership roles including Deputy Director of CCF Technical Committee on Software Engineering, Co-Editor-in-Chief of Journal of Software: Evolution and Process, and Associate Editor for ACM Transactions on Software Engineering and Methodology. He has been actively involved in program committees for major software engineering conferences including ICSE, ASE, ESEC/FSE, and ICSME. He leads the CodeWisdom research team at Fudan University, which has developed several benchmark systems including TrainTicket for microservice research. The team's work bridges academic research with industrial applications, particularly in microservice systems analysis and intelligent software development tools.