Find Academic Supervisors

• Clean Conversion of Fuel
• Carbon Materials
• Fluidization
• +5 more

Li Junguo is a Research Professor at the School of Innovation and Entrepreneurship, Southern University of Science and Technology (SUSTech), where he also serves as Assistant Dean of the Clean Energy Institute. He joined SUSTech in 2019 and was promoted to Research Professor in January 2024. Prior to this, he worked as an Assistant Professor at the Institute of Coal Chemistry, Chinese Academy of Sciences (CAS) from 2014 to 2019. His academic journey began with a Bachelor's degree in Mineral Processing Engineering from China University of Mining and Technology in 2008, followed by a Ph.D. in Chemical Engineering and Technology from the University of Chinese Academy of Sciences, completed in January 2014. His educational background includes: 2004-2008: B.S. in Mineral Processing Engineering, China University of Mining and Technology 2009-2014: Ph.D. in Chemical Engineering and Technology, University of Chinese Academy of Sciences Professor Li's research focuses on the clean conversion of carbon-containing fuels , carbon materials development , fluidization engineering , and scale-up fundamentals . His work spans both fundamental and applied research, with particular emphasis on sustainable energy solutions that address carbon neutrality goals. He investigates pyrolysis and gasification characteristics of various fuels, develops high-performance carbon materials for diverse applications, and studies soil improvement techniques. His research on fluidized bed reactors explores flow characteristics and scale-up mechanisms critical for industrial applications. His publication record demonstrates a strong focus on sustainable energy solutions and carbon management. Recent work emphasizes green methanol production as a pathway to carbon neutrality, advanced biomass conversion technologies, and innovative approaches to coal water slurry processing. His research integrates chemical engineering principles with environmental sustainability goals, particularly addressing China's carbon reduction targets. The interdisciplinary nature of his work bridges energy engineering, materials science, and environmental remediation. Professor Li has received numerous honors and awards for his contributions to science and engineering: Second Prize for Innovation of the China Invention Association Entrepreneurship Award (2024) Academic Editor of the Journal of Fuel Chemistry and Technology (2021, 2023) Shenzhen High-level Professional Talent (Category D, 2019) Member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2019) "Shanxi Talent" Young Outstanding Talent (2019) Second Prize of Science and Technology Progress Award of Chinese Society of Particulate Science (2018) As a research leader, Professor Li has secured significant funding for his work, including projects under the National Key R&D Program, National Natural Science Foundation of China, and various industry collaborations. His current research portfolio includes high-value utilization of domestic sludge, key technologies for low-rank coal processing, and large-scale treatment of low-calorific-value municipal solid waste. He also serves as the project leader for the Shenzhen Low-Quality Coal Comprehensive Utilization Engineering Research Center. In addition to his research activities, he teaches graduate courses in Industrial Product Dissection and Transformation Practice and Engineering Ethics. Professor Li leads the Clean Energy Institute at SUSTech, where his team focuses on developing technologies for carbon-neutral energy systems. His laboratory work emphasizes practical applications of fundamental research, particularly in the areas of biomass conversion, coal utilization, and carbon material synthesis. The institute collaborates with both domestic and international partners to advance sustainable energy solutions.

Raed Al KontarView profile

Associate Professor

• Federated Learning
• Personalized Data Science
• Uncertainty Quantification
• +5 more

Raed Al Kontar serves as an Associate Professor with tenure in the Industrial & Operations Engineering (IOE) department at the University of Michigan's College of Engineering. He leads the Data Science Lab and holds affiliate appointments with the Michigan Institute for Data Science and Computational Discovery and Engineering. His research bridges probabilistic modeling with engineering applications, focusing on personalized, collaborative, and distributed data analytics where knowledge from diverse sources is integrated while preserving privacy. His research program addresses three core questions across descriptive, predictive, and prescriptive analytics: extracting shared/unique patterns across datasets, enabling collaborative model improvement while maintaining data privacy, and optimizing distributed trial-and-error processes. Key research areas include Federated Learning, Uncertainty Quantification, Bayesian Optimization, and Digital Twins, with applications spanning healthcare, manufacturing, and materials science. Current funding includes NSF (including a 2022 CAREER award), NIH, NLM, and industry partnerships. Research Trends: His recent publications demonstrate a strong focus on heterogeneous data integration through novel matrix/tensor factorization techniques, personalized PCA frameworks, and consensus-based distributed optimization. The work consistently bridges theoretical guarantees (e.g., identifiability conditions) with practical applications in hydrogel development, 3D printing, and pharmaceutical safety. Award Highlights: His group has won 12 best paper awards since 2022 across INFORMS, ASA, and IISE, including the 2024 Wilson Prize and INFORMS Data Mining Section's Best General Track Paper. Dr. Al Kontar has successfully placed multiple PhD students in tenure-track positions including Naichen Shi (Northwestern), Xubo Yue (Northeastern), and Seokhyun Chung (University of Virginia). His lab maintains active collaborations with medical researchers (NIH/NLM projects), materials scientists (autonomous experimentation), and pharmaceutical safety experts. The lab combines theoretical innovation with real-world impact, exemplified by their NSF CAREER-funded work on the Internet of Federated Things.

Irving E. VegaView profile

Associate Professor

• Alzheimer's Disease
• Neurodegenerative Diseases
• Pathological Tau Proteins
• +4 more

Irving E. Vega is an Associate Professor at Michigan State University's College of Human Medicine in the Department of Translational Neuroscience. His primary research focus lies in the molecular and biochemical mechanisms of pathological tau accumulation in Alzheimer's disease and related dementias, with a secondary emphasis on ethnoracial disparities in neurodegenerative disease biomarkers. University of Puerto Rico-Mayaguez Campus (Biology, B.S. 1996) Rutgers University (Cell Biology & Neuroscience, Ph.D. 2002) Dr. Vega's research explores how neurons respond to pathological tau in different brain regions, utilizing techniques like mass spectrometry-based proteomics , mouse models of tauopathy , and liquid chromatography . His work spans Alzheimer's disease mechanisms, neurodegenerative protein aggregation, and social determinants of cognitive health in Latino communities. Recent publications highlight his contributions to understanding EFhd2-tau interactions through liquid-liquid phase separation, epigenetic patterns in Parkinson's disease hemispheric asymmetry , and cross-reactivity of phosphorylated tau antibodies . He has also published methodological work on recombinant protein validation. Dr. Vega's technical expertise includes ELISA , Western Blot , mouse models , and protein purification . He leads the Vega Lab, which integrates biochemical and clinical approaches to tauopathies.

David A. ChinView profile

Professor

• Civil Engineering
• Coastal and Ocean Engineering
• Environmental Engineering
• +4 more

David A. Chin is a Professor in the Department of Chemical, Environmental, & Materials Engineering at the University of Miami College of Engineering , focusing on Water Resources Engineering and Environmental Engineering . His research spans coastal hydrology, stormwater management, and water quality analysis. Research Interests : Rainfall-runoff modeling, nutrient pollution dynamics, cluster analysis for water quality, stormwater control measures, and groundwater-canal interactions. Publication Trends : Recent work emphasizes refining the NRCS Curve Number method, assessing septic system impacts on water quality, optimizing rainfall separation techniques, and improving water-quality flow estimation. His studies apply to South Florida and other regional hydrological contexts.

Maxim O. LavrentovichView profile

Assistant Professor

• Pattern Formation
• Evolutionary Dynamics
• Domain Walls
• +4 more

Dr. Maxim O. Lavrentovich is an Assistant Professor at Worcester State University in the Department of Earth, Environment, and Physics . He previously served as an Assistant Professor at the University of Tennessee, Knoxville for six years and conducted postdoctoral research at the University of Pennsylvania . His work spans theoretical biophysics and soft condensed matter physics , focusing on pattern formation, evolutionary dynamics, and non-equilibrium systems. Education: PhD in Physics, Harvard University (2014) B.A. in Physics and Mathematics, Kenyon College (2008) Research interests include: Pattern formation on curved surfaces and biological membranes Evolutionary dynamics in spatial population genetics Domain wall motion in ferroelectric and cellular systems Non-equilibrium phase transitions in driven systems Recent publications highlight work on chiral ferroelectric ground states , biological memory mechanisms , and domain wall dynamics in materials and cellular populations. Collaborations include institutions like Harvard University , University of Tennessee , and Oak Ridge National Laboratory . He advises students across multiple institutions and has developed lattice models for cancer growth and non-linear PDE solvers for pattern formation. Teaching spans graduate quantum mechanics , statistical mechanics , and biophysics , with lecture notes freely available.

Marco PieriniView profile

Professor

• Supramolecular Chemistry
• Stereochemistry
• Computational Chemistry
• +4 more

Marco Pierini is a Full Professor at the Department of Pharmaceutical Chemistry and Technology within the School of Pharmacy and Medicine at Sapienza University of Rome . He teaches Organic Chemistry and Chemistry of Natural Organic Substances in the Pharmacy degree program. His research focuses on stereochemical lability and molecular interactions , particularly through supramolecular chemistry and dynamic HPLC studies . Research areas: Supramolecular Chemistry, Stereochemistry, Computational Chemistry Techniques: Enantioselective HPLC, NMR and UV-Visible Spectroscopy, Molecular Docking His recent publications emphasize chiral separations and stereochemical stability of pharmaceutical compounds, with applications in drug development and analytical methodologies. Key trends include enantioselective catalysis , chiral electroanalysis , and supramolecular nano-aggregates . Scientific Awards National Scientific Qualification (Abilitazione Scientifica Nazionale) for the 03/C1 sector (Organic Chemistry) in 2017 Winner of competitive procedures for associate professor (2001) and full professor (2021) at Sapienza University

Scott KeeneyView profile

Professor

• Meiotic recombination
• DNA double-strand break repair
• Spo11 biochemistry
• +5 more

Scott Keeney, PhD, is a Member of the Molecular Biology Program at Memorial Sloan Kettering Cancer Center’s Sloan Kettering Institute, an Investigator of the Howard Hughes Medical Institute since 2008, and the Frederick R. Adler Chair at MSKCC. A leading authority on meiotic recombination, he investigates how programmed DNA double-strand breaks are generated, regulated, and repaired during gametogenesis. Education: PhD, University of California, Berkeley. Research Focus: The Keeney laboratory combines biochemical, structural, and genetic approaches to dissect the molecular choreography of meiotic recombination. Central projects include: Mechanism and regulation of Spo11-dependent DSB formation in budding yeast and mouse meiosis. Structure–function analysis of the Spo11 core complex and its auxiliary factors (Rec114–Mei4, ANKRD31, etc.). Topoisomerase II biology: how chemotherapeutic inhibitors convert Topo II into a DNA-damaging agent and the cellular responses that ensue. Recent Publication Trends: Over 2020-2025 the group has produced a steady stream of high-impact papers combining cryo-EM, mouse genetics, and genomics to illuminate (i) atomic-level views of Spo11–DNA complexes, (ii) chromatin remodelers that license DSB resection, and (iii) in vitro reconstitution of the entire Spo11-dependent DSB reaction. Scientific Honors & Awards: Investigator, Howard Hughes Medical Institute (2008) Fellow, American Academy of Microbiology (2014) Fellow, American Academy of Arts and Sciences (2017) Frederick R. Adler Chair, MSKCC (2017) Member, US National Academy of Sciences (2020) Mentoring & Training: The Keeney lab has trained numerous postdoctoral fellows and graduate students, many now in independent positions worldwide. Current trainees include MSK Bridge Program scholars, graduate students from the Gerstner Sloan Kettering Graduate School, and research technicians supported by HHMI and NIH funds. Laboratory & Affiliations: The lab is housed within SKI’s state-of-the-art research tower and is affiliated with the Molecular Biology Program, the Gerstner Sloan Kettering Graduate School of Biomedical Sciences, and HHMI. Core facilities provide access to cryo-EM, high-throughput sequencing, and advanced mouse husbandry resources.

Lei GuoView profile

Assistant Professor

• Epigenetic regulation
• DNA methylation
• Histone modifications
• +7 more

Lei Guo, PhD is a Research Assistant Professor at the Center for Epigenetics & Disease Prevention, Texas A&M University. Based in Houston, Texas, Dr. Guo focuses on epigenetic research with implications for understanding disease mechanisms and developing novel therapeutic approaches. His work bridges basic science and translational applications in cancer biology and developmental disorders. Dr. Guo received his Ph.D. in Cancer Cell Biology from Xiamen University in China. His educational background has provided a strong foundation for his current research in epigenetic regulation and its role in human diseases. Dr. Guo's research centers on understanding how DNA and histone modifications maintain homeostasis in humans and mammals, and how disruptions contribute to developmental defects, metabolic disorders, and oncogenesis. His work specifically investigates dynamic changes in DNA methylation, the impact of additional regulators on malignant transformation, and the development of innovative single-cell epigenome analysis and editing tools. He also utilizes high-throughput drug screening to discover new treatments for devastating diseases. Analysis of Dr. Guo's publication record reveals a strong focus on epigenetic regulation, particularly concerning TET2 and DNMT3A proteins, DNA methylation, and their roles in cancer development and treatment resistance. His recent work shows increasing emphasis on biomolecular condensates, spatial genome organization, and the intersection of epigenetics with aging and immune cell function. The research spans from basic mechanisms to translational applications, with a growing trend toward therapeutic development. Dr. Guo has not been mentioned as having specific scientific awards in the provided materials, but his publication record in high-impact journals demonstrates significant contributions to the field of epigenetics and cancer biology. While specific information about Dr. Guo's advising activities and grant funding is not detailed in the provided materials, his research program appears substantial given the volume and quality of publications. His work likely involves collaboration with multiple researchers and institutions, as evidenced by the co-authorship patterns in his publications. The research program seems well-supported to conduct sophisticated epigenomic analyses and drug screening approaches. Dr. Guo is affiliated with the Center for Epigenetics & Disease Prevention at Texas A&M University, suggesting he is part of a larger research team focused on understanding the epigenetic basis of disease. His work likely involves collaborations across multiple laboratories given the technical complexity of single-cell epigenome analysis, CRISPR-based epigenome editing, and high-throughput drug screening mentioned in his research goals.

David H. FarbView profile

Professor

• Molecular Neurobiology
• Pharmacology
• Cognitive Disorders
• +7 more

Professor David H. Farb is affiliated with the Boston University School of Medicine , where he leads the Laboratory of Molecular Neurobiology . His research focuses on identifying pharmacological treatments for cognitive disorders such as Alzheimer’s Disease , utilizing In Vivo Electrophysiology and molecular genetic technologies. Education: Ph.D. from Brandeis University Professor Farb investigates hippocampal systems involved in pattern separation (encoding) and pattern completion (retrieval), which underlie cognition in mammals. His work addresses deficits in these systems linked to schizophrenia , autism , Alzheimer’s Disease , and aging, aiming to develop safer cognitive enhancers like neuroactive steroids. The Laboratory of Molecular Neurobiology employs a multidisciplinary approach, combining electrophysiology with behavioral and molecular methods to advance therapies for nervous system disorders.

• Machine Learning
• Optimization
• Data Mining
• +2 more

Dr. Annabella Astorino is a researcher at ICAR-CNR (Italian National Research Council) in Rende, Italy, with expertise in machine learning, optimization, and computational biology. Her work focuses on classification algorithms using nonsmooth optimization, spherical separation, and multiple instance learning (MIL) approaches. Key Research Themes Geometric separation techniques (polyhedral, spherical) Multiple instance learning for biomedical applications Nonsmooth optimization in semisupervised learning Clustering methods for edge detection in images Recent publications highlight her development of Lagrangian relaxation for MIL, kernel-enhanced spherical separation algorithms, and DC optimization for computer vision tasks. Her collaborations include researchers like A. Fuduli, M. Gaudioso, and P. Veltri.

Astrid CarolusView profile

Associate Professor

• Media Psychology
• AI Competencies
• Human-AI Interaction
• +7 more

Astrid Carolus serves as Senior Academic Councillor and Privatdozentin at the Human-Computer-Media Institute within the Faculty of Human Sciences at Julius-Maximilians-University of Würzburg. She leads three major research initiatives: AI MINDSET (examining psychological facets of teachers' AI competencies), AIL AT WORK (focusing on AI skills in workplace contexts), and CHAT (Comprehending Human-AI Interaction). Her office is located in Hubland Nord, Building 82, Room 2.016. Dr. Carolus completed her psychology studies at Saarland University with specializations in media and organizational psychology, psychological diagnostics, evaluation, clinical psychology, and social psychology (with business administration minor). She earned her doctorate with distinction in 2012 from Würzburg University, was appointed Academic Councillor in 2016, promoted to Senior Academic Councillor in 2022, and received her venia legendi (teaching authorization) in psychology in 2025. She maintains active consultancy work alongside her academic position and holds international certification in Facial Action Coding System (FACS) for facial expression analysis. Her research examines human thought, emotion, and behavior in media interactions through the fundamental questions: 'What do people do with media and technologies?' and 'What do technologies do to people?' She conceptualizes human-AI interactions as social encounters, emphasizing both technical competencies and psychological dimensions. Her work develops frameworks for competent, self-determined, and reflective technology use, with current focus on measuring AI literacy, understanding voice assistant interactions, and developing training interventions for teachers and professionals. Analysis of her 15 most recent publications reveals three dominant research trajectories: (1) development and validation of measurement tools for AI literacy (including the MAILS scale), (2) psychological effects of smartphone separation and digital detox interventions, and (3) training methods to improve functional understanding of AI systems. Her work spans educational contexts (particularly teacher training), workplace applications, and consumer technology use, with increasing emphasis on practical interventions to enhance human-AI collaboration. Gleichstellungspreis der Julius-Maximilians-Universität (2023) Forschungsförderpreis der Vogel-Stiftung Dr. Eckernkamp (2018) Dr. Carolus serves as External Student Advisor for MK Bachelor programs and has secured multiple research grants including projects funded by the Bavarian Research Institute for Digital Transformation (projects MOTIV, DIGITALKOMPETENZ ALS MINDSET), Dr.-Herbert-Brause Foundation (projects on Mixed Reality Technologies, mobile/stationary Smart Hubs), and the Human Dynamics Centre. Her research often involves interdisciplinary collaborations across psychology, computer science, and education fields. She works within the Media Psychology research group that maintains specialized laboratory facilities including mobile and stationary Smart Hubs for testing AI systems in simulated environments. Her team collaborates with educational institutions and workplace settings to translate research findings into practical applications, particularly through the development of modular teacher training programs that address both technical skills and psychological factors like technology acceptance, self-efficacy, and change readiness.

• LGBTQ+ Rights
• Gender and Sexuality Studies
• Children's Rights
• +4 more

Dr Rob Clucas is an Associate Professor at Edinburgh Napier University's Business School, where he serves as a core member of the Centre for Child & Family Law and Policy. His research focuses on the critical intersection of law, human rights, and social justice, with particular emphasis on LGBTQ+ rights, gender and sexuality studies, children's rights, and the complex relationship between religious institutions and legal frameworks in the UK context. Clucas holds a PhD and LLB (Hons) alongside professional qualifications (PCHE, SFHEA), grounding his work in both theoretical rigor and practical application. His scholarship examines how legal systems interact with marginalized communities, especially within Scottish law and the Church of England. Recent work analyzes evolving LGBTQ+ rights landscapes, early marriage policies, and religious exemptions to anti-discrimination legislation. His publication trajectory reveals consistent engagement with evolving social justice issues, from foundational work on medical law (2000-2002) through detailed analyses of religious institutions' relationship with equality law (2012-2017) to current cutting-edge research on LGBTQ+ rights (2023-2025). This progression demonstrates increasing policy relevance, particularly regarding Scotland's legal landscape and contemporary human rights challenges. Clucas actively supervises doctoral research including Ego Chidinma Ezeokoli's work on marriage age reform in Scotland, Peter Mullin's study on murder, Unite Ekwo's comparative analysis of EU and Nigerian legal procedures, and Gillian Baker's examination of women's experiences in domestic abuse-related child contact cases. He has secured funding from The Clark Foundation for Legal Education for mini-internship projects (2021-2024) providing undergraduate students practical experience in child and family law policy. As a key contributor to the Centre for Child & Family Law and Policy, Clucas collaborates across disciplines to address systemic legal challenges affecting vulnerable populations. His work bridges academic scholarship with tangible policy impacts, particularly in Scottish family law reform and human rights protections for LGBTQ+ communities.

Pranav JoshiView profile

Associate Professor

• Experimental Fluid Mechanics
• Heat Transfer
• Boundary Layers
• +4 more

Dr. Pranav Joshi is an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), where he has been employed since April 2018. His research specializes in experimental fluid mechanics and heat transfer, with particular focus on turbulent boundary layers, rotating flows, and convective heat transfer systems. Prior to joining IIT Kanpur, he held research positions at the National Aerospace Laboratories (India), Eindhoven University of Technology (Netherlands), and Johns Hopkins University (USA). Education: Ph.D. Mechanical Engineering, Johns Hopkins University (2013) M.S. Mechanical Engineering, Johns Hopkins University (2009) M.Sc. (Engg.) Mechanical Engineering, Indian Institute of Science (2006) B.E. Mechanical Engineering, Shivaji University (2003) Research Focus: Dr. Joshi's work bridges fundamental fluid dynamics and thermal sciences, examining complex phenomena in rotating turbulent convection, boundary layer modifications under pressure gradients, and particle-laden flows. His experimental investigations employ advanced measurement techniques to characterize flow structures and heat transfer mechanisms in both natural and forced convection systems. Publication Trends: His 15 most recent publications (2010-2017) demonstrate consistent focus on turbulence characterization, with experimental studies on rotating Rayleigh-Bénard convection systems dominating recent outputs. Earlier works established foundations in boundary layer turbulence modulation. Journals include Journal of Fluid Mechanics and Physical Review Fluids . Awards & Honors: AIAA Graduate Student Presentation Award (2012) Johns Hopkins ME Fellowship (2006-2007) IISc ME Department Alumni Medal (2006) Shivaji University Merit Scholarship (2003) Laboratory affiliations and student advising information are not detailed in available sources.

Jean-Philippe BonnetView profile

Lecturer

• Membrane Separation Processes
• Ultrafiltration
• Pervaporation
• +3 more

Jean-Philippe BONNET is a Lecturer at Aix-Marseille University (AMU) , affiliated with the Membrane Processes team . His research focuses on membrane technology applications in industrial and environmental contexts, particularly ultrafiltration and pervaporation processes. Key Research Areas: Membrane separation, fluid dynamics, wastewater treatment, olive oil processing, and fouling analysis Collaborations: Extensive work with Philippe Moulin and other researchers at M2P2 laboratory His recent publications address membrane performance in pharmaceutical solvent recovery, water reuse systems, and industrial effluent treatment. Notable projects include landfill leachate management and olive oil decantation studies. Scientific Expertise: Membrane Fouling and Aging Process Intensification Fluid Dynamics in Porous Media Ultrafiltration for Aquaculture Pervaporation for Solvent Recovery Membrane Integrity Testing

Sufyan Ali MemonView profile

Professor

• Target Tracking
• Unmanned Aerial Vehicles
• Data Association
• +6 more

Sufyan Ali Memon serves as a Professor in the Department of Defense Systems Engineering at Sejong University, Republic of Korea. His academic journey includes Assistant Professor positions at Isra University (2016-2017), UNIST as Postdoc Research Associate (2017-2018), Indus University (2018-2019), and Mehran University of Engineering & Technology (2019-2021) before joining Sejong University in 2021. His research focuses on Tracking, Estimation, Guidance, Navigation, and Control systems, with particular expertise in multi-target tracking in cluttered environments, UAV trajectory estimation, and smoothing algorithms. His fingerprint analysis reveals strong activity in Target Tracking (97%) , Multi-Target Tracking (83%) , Unmanned Aerial Vehicles (37%) , and State Estimation (27%) . Analysis of his 42 research outputs (2015-2025) shows consistent growth in publication output, with 8 papers in 2025 alone. His work spans journals like Expert Systems with Applications , IEEE Access , and Sensors , demonstrating interdisciplinary applications from defense systems to social media analysis and pipeline inspection robotics. The publications reveal a clear evolution from fundamental tracking algorithms toward practical implementations in UAVs, industrial systems, and security applications. h-index 12 330 Citations Web of Science ResearcherID: AAD-9239-2019 His professional background includes significant contributions to smoothing algorithms for target tracking in cluttered environments, with major achievements including dynamic trajectory estimation for UAVs and multi-UAV tracking systems. Current research appears focused on integrating machine learning with traditional tracking systems and expanding applications to industrial inspection and security domains.