جست‌وجوی استاد و پژوهشگر

Manh-Huong Phanمشاهده پروفایل

استاد

• Nanomagnetism
• Nanospintronics
• Smart Sensing Technologies
• +۱۶ مورد دیگر

Prof. Manh-Huong Phan is a full Professor in the Department of Physics at the University of South Florida , where he directs the Laboratory for Advanced Materials and Sensors . He holds a Ph.D. in Engineering Physics from Bristol University, UK, and has established himself as a leading researcher in nanomagnetism and functional magnetic materials. Ph.D. : Engineering Physics, Bristol University, United Kingdom (2006) M.S. : Applied Physics, Chungbuk National University, South Korea (2003) B.S. : Solid State Physics, Vietnam National University, Vietnam (2000) His research focuses on nanomagnetism, nanospintronics, smart sensing technologies, energy-efficient multicaloric materials, magnetic nanoparticles, 2D van der Waals magnets, and quantum materials . His work bridges fundamental physics with applications in energy, healthcare, and advanced electronics. He has pioneered discoveries in room-temperature 2D ferromagnetism and light-tunable magnetism in transition metal dichalcogenides, contributing to the emerging field of opto-spin-caloritronics . The recent publications highlight a strong trend in two-dimensional magnetic materials , particularly vanadium-doped transition metal dichalcogenides (TMDs), with a focus on achieving and controlling room-temperature ferromagnetism using light and thermal stimuli. His group also advances magnetic sensor technologies , including novel magneto-LC resonance systems for respiratory monitoring, and explores fundamental phenomena like the spin Seebeck effect, exchange bias, and skyrmions in complex oxides and heterostructures. His scientific contributions have been recognized with numerous honors: Faculty Outstanding Research Achievement Award, USF (2017, 2019, 2021) Honorary Doctoral Degree, Vietnam National University - Hanoi (2021) Outstanding Dissertation Award, APS-GMAG (2022) National Research Council (NRC) Fellowship for his student Inclusion in the World's Top 2% Scientists list Prof. Phan is a dedicated mentor, advising numerous graduate and undergraduate students who have won awards for their presentations and research. His group has secured significant funding from agencies like NSF, DOE, NASA, and ARO . He is also active in the academic community as an editor for journals such as Journal of Science: Advanced Materials and Devices (Elsevier) and Scientific Reports (Nature), and as an organizer and chair for major international conferences on magnetism and materials. He leads a dynamic research team focused on cutting-edge projects in 2D magnetism, smart sensors, and energy materials , with recent innovations including AI-integrated respiratory monitoring for COVID-19 detection and the development of novel magnetocaloric microwires for efficient refrigeration.

Ahmed Hassanمشاهده پروفایل

دانشیار

• Applied Electromagnetics
• Nanoelectromagnetics
• Bioelectromagnetics
• +۱۲ مورد دیگر

Ahmed Hassan is an Associate Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is the founder and director of the Multidisciplinary Multiscale Electromagnetics Lab (MMEL), where he conducts cutting-edge research in applied electromagnetics with applications in nanotechnology, medicine, and defense. Education: Ph.D. in Electrical Engineering, University of Arkansas, 2010 M.S. in Electronics and Communication Engineering, Cairo University, 2006 B.S. in Electronics and Communication Engineering, Cairo University, 2004 Research Interests: His expertise spans applied electromagnetics, nanoelectromagnetics, bioelectromagnetics, computational electromagnetics, electromagnetic compatibility (EMC), and microwave/terahertz imaging. He employs both computational and experimental methods to solve real-world challenges in materials, biomedical sensing, and defense systems. His work often integrates machine learning and high-performance computing for electromagnetic modeling. Publication Trends: His recent research focuses on carbon nanotubes, plasmonic sensors, UAV electromagnetic compatibility, and biomedical applications of microwaves. He frequently uses characteristic mode analysis, computational modeling, and experimental validation to advance understanding in multiscale electromagnetics. Scientific Awards: University of Arkansas College of Engineering Early Career Alumni Award (2021) IEEE Senior Member (2019) UMKC Chancellor’s Early Career Award for Excellence in Teaching (2018) Elected Full-Member, U.S. National Committee for URSI (2018) CS&EE Excellence in Teaching Award (2017) Sigma Xi Outstanding Poster Award, NIST (2014) Doctoral Academy Fellowship, University of Arkansas (2007–2010) Cairo University Faculty Prize (1999–2004) Advising and Grants: Dr. Hassan has advised numerous PhD and MS students, many of whom have received research grants and awards. His lab is supported by major funding from DARPA, NSF, ONR, NIST, and industry partners like Zoloz. Projects include counter-drone technologies, biometric sensing, and nanoscale electromagnetic modeling. He actively recruits PhD students with strong computational or experimental backgrounds. Labs and Teams: The MMEL Lab is equipped with advanced hardware including vector network analyzers, SEM, and high-performance computing workstations, and software tools like COMSOL, FEKO, CST, and HFSS. The lab fosters interdisciplinary collaboration across engineering, physics, and medicine.

David Hickeyمشاهده پروفایل

استادیار

• Electrochemistry
• Biosensors
• Cancer Detection
• +۳ مورد دیگر

David Hickey is an Assistant Professor in the Department of Chemical Engineering and Materials Science at Michigan State University. His research integrates computational and experimental methods to design electrochemical systems for biosensing, energy storage, and biocatalytic processes. Key areas include molecular interactions at electrode interfaces, electroenzymatic biosensors, and novel redox flow battery technologies. Education: Ph.D. in Chemistry from the University of Oklahoma, followed by postdoctoral training at the University of Utah. Research focuses on advancing bioelectrochemical interfaces for early cancer detection, optimizing non-aqueous redox flow batteries, and developing enzymatic cascades for sustainable chemical synthesis. The Hickey Lab pioneers interdisciplinary approaches to bridge fundamental science and applied engineering challenges. Publications emphasize innovative materials design (e.g., pyridinium anolytes), cofactor recycling systems, and wearable biosensors. Collaborations include experts in electrochemistry, materials science, and biomedical engineering.

• Bioelectricity
• Scanning Probe Microscopy
• Artificial Intelligence
• +۳ مورد دیگر

Gabriel Gomila Lluch is a Full Professor at the University of Barcelona's Department of Electronics and Group Leader at the Institute for Bioengineering of Catalonia (IBEC). His research at the Nanoscale Bioelectrical Characterization group integrates Scanning Probe Microscopy, Artificial Intelligence, and Organic Bioelectronics to advance label-free characterization tools for Life Sciences and nanomedical diagnostics. PhD in Physics (University of Barcelona, 1997) Ramón y Cajal Fellowship recipient (2001) ICREA Academia awardee (2014) His research spans: Bioelectrical characterization of cells, bacteria, and nanocarriers Autonomous microscopy systems with AI integration Organic Bioelectronics for biosensing and signal transduction Cable bacteria conduction mechanisms Scientific contributions include: First supervised machine learning algorithm for Scanning Dielectric Microscopy data Breakthrough in confined water dielectric constant measurement (Science 2018) Pioneering work on nanoscale capacitance microscopy Key innovation areas: High-throughput multimodal characterization Autonomous probe microscopy systems Dielectric nanotomography Protein nanowire conductivity analysis

Peter Washingtonمشاهده پروفایل

استادیار

• Consumer Digital Health
• Human-Centered AI
• Artificial Intelligence / Machine Learning
• +۱۹ مورد دیگر

Peter Washington is an Assistant Professor in the Department of Medicine at the University of California, San Francisco (UCSF), affiliated with the School of Medicine and the Division of Clinical Informatics and Digital Transformation (DoC-IT). He leads the UCSF TECH Lab (Technologies Empowering Consumer Health), focusing on human-centered AI for digital health applications. Education: PhD in Bioengineering, Stanford University (2022) MS in Computer Science, Stanford University (2018) BA in Computer Science, Rice University (2015) His research centers on consumer digital health informatics, leveraging data from wearables, smartphones, and specialized health devices to develop digital diagnostics, therapeutics, and monitoring tools. Key areas include autism and ADHD screening, mental health, substance use, chronic disease management, and global digital health. His work emphasizes ethical AI, crowdsourcing, and personalized machine learning. The recent publications highlight a strong trend in applying AI to real-world health challenges, particularly through passive sensing, social media data, and multimodal inputs. His research spans digital phenotyping, remote monitoring, and bias mitigation in clinical AI, with a focus on implementation and equity. Scientific Awards: NIH New Innovator Award (2023–2028) Stanford Interdisciplinary Graduate Fellowship (2020–2022) Dr. Washington teaches Epi 233 – Introduction to Clinical Artificial Intelligence – and mentors UCSF students, staff, residents, and fellows in research projects. His lab is funded by the NIH and NSF, including as Principal Investigator on grants focused on personalized machine learning and crowd-powered diagnostics for neurodevelopmental conditions. He is actively involved in global health equity initiatives through the Institute for Global Health Sciences at UCSF. Labs and Teams: UCSF TECH Lab (Technologies Empowering Consumer Health) Collaborator with Wall Lab and other interdisciplinary teams

Aaron Mohsمشاهده پروفایل

استاد

• Fluorescent Imaging
• Drug Delivery Systems
• Tumor Metabolism
• +۶ مورد دیگر

Aaron Mohs, PhD is the Associate Dean for Research and Graduate Studies at the University of Nebraska Medical Center (UNMC) College of Pharmacy , where he holds a professorship in the Department of Pharmaceutical Sciences . His academic profile integrates biomedical engineering, pharmacology, and oncology through innovative research and translational applications. Research Focus: Fluorescent imaging contrast agents for tumor surgery Department: Pharmaceutical Sciences Key Collaborations: Surgical oncology, nanotechnology, and biomedical engineering teams Dr. Mohs' research explores fluorescence-guided tumor surgery and tumor metabolism-targeted drug delivery systems . His work leverages nanotechnology for real-time intraoperative imaging and pathogen detection, as evidenced by recent publications on NIR dye conjugates and paper-based sensors. His 15 most recent publications (2020-2025) span pancreatic cancer imaging , antibiotic-resistant pathogen detection , and nanoparticle engineering . Specific topics include MUC4/MUC16 targeting, hyaluronic acid nanomaterials, and ratiometric sensor arrays for bacterial identification.

Imola Wilhelmمشاهده پروفایل

پژوهشگر ارشد

• Neurovascular unit
• Blood-brain barrier
• Cerebral circulation
• +۴ مورد دیگر

Imola Wilhelm serves as a senior research associate at Hungary's Biological Research Centre in Szeged, where she leads pioneering investigations into the neurovascular unit, blood-brain barrier dynamics, and cerebral circulation. Her work specifically examines pericyte function in pathological contexts including brain metastasis, neuroinflammation, and aging processes. As a leading scholar in neurovascular biology, Wilhelm's research integrates molecular and physiological approaches to unravel blood-brain barrier mechanisms under disease conditions. Her dual expertise spans both neurovascular pathology and advanced photonics, with significant contributions to silicon nitride waveguide technologies for biosensing applications. Her 15 most recent publications (2021-2025) reveal a strategic convergence of machine learning and photonic engineering, featuring optimization of silicon nitride platforms, loss-minimization techniques, and biosensor development. This work demonstrates consistent methodological innovation across fabrication, characterization, and application domains. Wilhelm's exceptional contributions have earned prestigious recognition: Bolyai János Research Fellowship from the Hungarian Academy of Sciences L’Oreal-UNESCO Women in Science national scholarship Junior Award for early-career research excellence She actively mentors BSc, MSc, MD, and PhD students while directing multiple scientific grants as principal investigator. Since 2020, she has served as a Szent-Györgyi mentor for the National Academy of Scientist Education and currently holds an executive board position at the Hungarian Young Academy (joined 2021). Her science communication outreach includes Researchers’ Night lectures since 2014 and Brain Awareness Week participation since 2018. Wilhelm leads a multidisciplinary research team at the Biological Research Centre that bridges neurovascular biology with photonic sensor development, maintaining active collaborations across both domains while supervising graduate trainees and postdoctoral researchers.

Jacob Rosensteinمشاهده پروفایل

دانشیار

• Bioelectronics
• Integrated Circuit Design
• Biosensors
• +۳ مورد دیگر

Jacob Karl Rosenstein is an Associate Professor of Engineering at Brown University , specializing in mixed-signal electronic design and bioelectronics . His research focuses on developing high-resolution, low-power interfaces to biological systems using integrated circuits and materials. Education : PhD (2012), MS (2009) in Electrical Engineering from Columbia University; ScB (2005) from Brown University. Research Interests : Bioelectronics, biosensor arrays, nanopore technology, electrochemical imaging, and molecular computation. Teaching : Courses include Digital Computing Systems (ENGN 0500), Electrical Circuits and Signals (ENGN 0520), Mixed-Signal Electronic Design (ENGN 2912K), and Topics in Bioelectronics (ENGN 2912L). Scientific Contributions include advancements in CMOS-integrated nanopore sensors, high-speed bioelectronic interfaces, and electrochemical imaging systems. His recent work involves machine olfaction, capacitance tomography, and ultrafast thermal cameras. Awards : Best Paper Award at BioCAS 2021, Best Paper Nomination at ISCAS 2025, Halpin Capstone Prize 2023. Students advised include Kangping Hu (PhD 2022), Steven (PhD candidate), Manar Incandela (extended paper 2024), and Yutong (Master’s thesis 2024). The Rosenstein Laboratory for Embedded Bioelectronics fosters interdisciplinary research between electronic systems and biological applications.

Atanu Acharyaمشاهده پروفایل

استادیار

• Multiscale Computational Modeling
• Biochemistry
• Biophysics
• +۶ مورد دیگر

Dr. Atanu Acharya is an Assistant Professor in the Department of Chemistry at Syracuse University's College of Arts & Sciences. His research focuses on multiscale computational modeling of complex biological systems, with emphasis on long-range charge transport in bacterial respiration, excited-state allostery in light-sensitive proteins, nano-bio interactions, and machine learning applications for redox process modeling. He leads the ACompChemLab, which includes current graduate students Shashith Dass, Pratima Kumari, and Vivanthi Rajendran, and alumni like Micaela Alvarez (selected by NREL's DOE SULI program). Ph.D. in Chemistry, University of Southern California (2016) M.Sc. in Chemistry, Indian Institute of Technology Madras (2011) B.Sc. in Chemistry (Honors), Jadavpur University (2009) Research Pillars: Long-Range Charge Transport: Investigates multi-heme cytochromes' role in bacterial respiration and their biotechnological applications in bioremediation and microbial fuel cells, focusing on outer membrane modulation of charge transport. Excited-State Allostery: Studies light-oxygen-voltage (LOV) and BLUF proteins to understand signal transmission mechanisms from flavin cofactors to output domains, with implications for optogenetics and cellular regulation. Nano-Bio Interfaces: Analyzes nanoplastic interactions with lipid bilayers and membrane proteins using MD simulations, addressing environmental impacts on marine and mammalian cells. Machine Learning Models: Develops ML frameworks to reduce computational costs in calculating redox parameters, enabling efficient modeling of hundreds of cofactors. Recent Research Trends: His publications (2022-2025) reveal a focus on environmental applications of computational biophysics (nanoplastic penetration), optimization of protein-based nanowires, SARS-CoV-2 spike protein interactions, and ML-enhanced redox modeling. Collaborations span institutions like NREL and Georgia State University. Scientific Recognition: National Institutes of Health Maximizing Investigators' Research Award (2023) Best Presentation at Molecular Biomedical (MBM) Seminar Series (2021) Grants & Leadership: Currently leads NIH-NIGMS grant "Investigation of Long-Range Charge Transfer and Excited State Processes" (2023-2028). Serves on Biochemistry Steering Committee, Graduate Admission Committee, and Faculty Hiring Committee. Laboratory & Team: The ACompChemLab at Syracuse University develops computational tools for photoinduced processes and electron transfer. Recent additions include postdoc Abhinav Gupta (Lehigh University) and graduate students Shashith Dass, Pratima Kumari, and Vivanthi Rajendran. The lab has produced first-author publications from Suman Maity and Sasthi Mandal.

Jinglu Tanمشاهده پروفایل

استاد

• Food Plant Stress
• Bioprocess Modeling
• Biosensing
• +۵ مورد دیگر

Jinglu Tan is a Professor in the Department of Chemical and Biomedical Engineering under the College of Engineering at the University of Missouri. He also serves as Director for the Division of Food, Nutrition & Exercise Sciences, a joint division between the College of Agriculture, Food & Natural Resources and the School of Medicine. His research spans biomedical and agricultural engineering, focusing on plant stress modeling, energy metabolism in muscles, and ultrasound sensing technologies. Ph.D. in University of Minnesota His research interests include: Modeling and sensing of photoelectron transduction in plants Kinetic analysis of energy metabolism in muscles Ultrasound measurement of rheological properties Chlorophyll fluorescence for stress detection Deep learning in multispectral image fusion Machine learning for climate and crop yield prediction Recent publications highlight: 2025 studies on ultrasound viscosity measurement and photosynthesis modeling 2024 work on microplastic-drought interactions in rice, frost forecasting, and crop recognition via satellite imagery Long-term contributions to chlorophyll fluorescence analysis and metabolic pathway simulations

Lena Golubewaمشاهده پروفایل

پژوهشگر

• Biophysics
• Carbon-based nanomaterials
• Spectroscopy
• +۲ مورد دیگر

Dr. Lena Golubewa is a Trainee Researcher at the Institute of Chemical Physics (ICP) of Vilnius University, specializing in biophysics and nanomaterials research. Her work bridges physics, materials science, and biomedical applications, with a particular focus on developing novel sensing and imaging technologies for cancer diagnostics and therapy. Her research interests span multiple interdisciplinary fields including Biophysics , Carbon-based nanomaterials , Spectroscopy , Hyperspectral imaging , and Machine learning . Dr. Golubewa has made significant contributions to surface-enhanced Raman spectroscopy (SERS) using black silicon substrates with gold coatings, diamond color centers for thermometry, and carbon nanotubes for cancer theranostics. Her work consistently combines experimental nanomaterial development with sophisticated data analysis techniques, showing an evolution from fundamental nanomaterial characterization toward direct biomedical applications. Dr. Golubewa's recent publications demonstrate a strong trend toward integrating machine learning with advanced optical microscopy for medical diagnostics. Her 2024 work particularly highlights applications in thyroid cancer diagnostics and analysis of pulmonary arterial hypertension. This represents a significant shift from her earlier work on nanomaterial characterization toward clinical applications. Dr. Golubewa leads significant research projects including: "Spatial distribution of diatom photosystems: machine learning-based reconstruction from nonlinear optical microscopy images" (Research Council of Lithuania, Nr. S-PD-24-158) "Persistent phosphors based on luminescent spinel nanocrystals exhibiting quantum-cutting effect for bio-imaging" (Polish-Lithuanian research project DAINA-3, agreement No [S-LL-24-11]) These projects reflect her expertise at the intersection of nanomaterials, optical imaging, and computational analysis.

MEHMET KAHRAMANمشاهده پروفایل

استاد

• Analytical Chemistry
• Surface Enhanced Raman Scattering
• Plasmonics
• +۵ مورد دیگر

Professor MEHMET KAHRAMAN is currently serving as a Professor in the Department of Chemistry at Gaziantep University's Faculty of Arts and Sciences. With over 15 years of academic experience, he has progressed through the ranks from Assistant Professor (2012-2014) to Associate Professor (2014-2020) before attaining his current position as full Professor since 2020. His research is centered at the intersection of analytical chemistry, nanotechnology, and biomedical applications, with particular expertise in Surface Enhanced Raman Scattering (SERS) technologies. Dr. Kahraman received his Doctorate in Chemistry from Istanbul Technical University (2007-2011), followed by a Master's degree in Bioengineering from Yildiz Technical University (2005-2007), and completed his undergraduate education in Chemistry at Çukurova University (2000-2005). His academic journey began as a Research Assistant at Yeditepe University's Department of Genetics and Bioengineering (2005-2011), before transitioning to Gaziantep University. His primary research interests focus on developing advanced plasmonic nanomaterials for biomedical detection applications. He has pioneered work in SERS-based biosensors for pathogen detection, cancer biomarker identification, and antibiotic resistance monitoring. His laboratory specializes in fabricating tunable plasmonic nanostructures, particularly silver nanodomes and diatomite-based substrates, to enhance Raman scattering signals for sensitive molecular detection. Recent work increasingly integrates machine learning techniques with spectroscopic data for improved diagnostic accuracy. His research has significant implications for point-of-care diagnostics and clinical laboratory applications. Analyzing his publication record reveals a clear trajectory from fundamental nanomaterial development toward increasingly sophisticated biomedical applications. His early work focused on nanomaterial synthesis and characterization, while recent publications (2021-2024) demonstrate strong emphasis on clinical applications, particularly in detecting antibiotic-resistant bacteria and cancer biomarkers using machine learning-enhanced SERS platforms. The consistent high-impact publication record across SCI-expanded journals demonstrates sustained research excellence. TÜSEB Incentive Award (2018) Outstanding Young Scientist Award from Turkish Academy of Sciences (TÜBA) (2018) Young Scientist Award from Gaziantep University (2015) Professor Kahraman has successfully supervised eight graduate students to completion of their theses, spanning topics from plasmonic nanodomes to SERS-based biosensors. He has secured multiple competitive research grants, including seven TÜBİTAK projects where he served as principal investigator on four major grants (1001, 3501, and two others), focusing on plasmonic nanostructures for bioanalytical applications and pathogen detection. His international research collaborations include positions as Visiting Professor at McGill University (2017) and Postdoctoral Researcher at University of California Davis (2012-2013). His laboratory maintains active research programs in plasmonic nanomaterial fabrication, SERS substrate development, and biosensor design. The research group collaborates extensively with medical researchers for clinical validation of detection platforms, particularly in the areas of bacterial identification and cancer biomarker detection. Current work focuses on flexible, low-cost SERS platforms for point-of-care applications and machine learning integration for improved diagnostic accuracy.

Yiming Fengمشاهده پروفایل

استادیار

• Food Science
• Bioprocessing
• Sustainable Food Systems
• +۶ مورد دیگر

Dr. Yiming Feng is an Assistant Professor and Extension Specialist at the Virginia Seafood Agricultural Research and Extension Center , affiliated with the Department of Biological Systems Engineering in the College of Engineering at Virginia Tech. He leads the Sustainable & Intelligent Seafood Bioprocessing Lab , focusing on seafood safety and waste valorization. Ph.D. and B.S. in Food Science and Human Nutrition from the University of Illinois, Urbana-Champaign Dr. Feng’s research integrates hyperspectral imaging and machine learning for real-time seafood safety monitoring (e.g., microplastic detection) and transforms food processing waste into biochar , bio-fungicides , and biogases . His work aligns with circular economy principles and addresses industry challenges like thermal validation and traceability regulations . Recent publications highlight advancements in non-destructive food sensing , plant-based seafood analogs , and agricultural waste conversion for energy and packaging. Grants include a USDA-SCBGP award for olive byproduct valorization and a 4-VA Collaborative Research Grant for microplastic detection. Food Processing Operation Award (Cal Poly, 2021–2023) Food Engineering Award (Cal Poly, 2021–2023) Food Quality Assurance Award (Cal Poly, 2021–2023) Advanced Food Processing Award (Cal Poly, 2021–2023) Dr. Feng actively recruits graduate students and collaborates with industry partners to bridge academic research with practical seafood sector solutions. His lab specializes in thermal validation studies , machine vision , and sustainable bioprocessing .

Hannah Leeseمشاهده پروفایل

مدرس ارشد

• Sustainable Healthcare
• Materials Science
• Biomedical Engineering
• +۵ مورد دیگر

Hannah Leese is a Senior Lecturer in the Department of Chemical Engineering at the University of Bath. She leads the Materials for Health research group and is affiliated with the Centre for Sustainable Chemical Technologies (CSCT), Institute of Sustainability and Climate Change, and the Bath Institute for the Augmented Human. Her work aligns with the UN Sustainable Development Goals, particularly SDG 3 (Health and Well-being) and SDG 12 (Sustainable Consumption and Production). Senior Lecturer, University of Bath (Current) Post Doctoral Research Associate, University of Manchester (2017-2018) Post Doctoral Research Associate, Imperial College London (2013-2017) Research Interests : Dr. Leese specializes in advanced materials development for sustainable healthcare applications. Her group creates materials enabling point-of-care diagnostics , including microneedle/nanoneedle systems , therapeutic nanocomposite fibers , and smart 3D-printed biosensing modules . Key focus areas include combating antimicrobial resistance, democratizing healthcare access, and integrating biochemical and chemical treatments for resource-efficient systems. Selected Research Trends : Recent work spans electrospun nanofibers for tissue engineering, molecularly imprinted polymer sensors , graphene-based membranes , and infrared-responsive polymers . She contributes to cellular agriculture and biodegradable energy harvesters , emphasizing sustainable manufacturing and SDG-aligned innovation. Key Collaborations : Dr. Leese collaborates with institutions like Nanyang Technological University and A*STAR , and participates in EU-funded projects including the Sustainable Chemicals and Materials Manufacturing Hub and Cellular Agriculture Manufacturing Hub . She also serves as a contributor to media discussions on sustainable technologies.

Park Hwang-seoمشاهده پروفایل

استاد

• Drug Discovery
• Computational Biology
• Protein-Ligand Interactions
• +۴ مورد دیگر

Professor Park Hwang-seo is a faculty member at Sejong University, affiliated with the Department of Life Sciences and Department of Bio-Convergence Engineering. His research focuses on computational biology, drug discovery, and molecular design, particularly for targeting disease-related proteins using physicochemical and machine learning approaches. B.S. in Microbiology, Seoul National University (1993) M.S. in Chemistry, Seoul National University (1995) Ph.D. in Chemistry, Seoul National University (2000) His work includes developing protein-ligand binding free energy functions, predicting pharmacological properties of compounds, and designing inhibitors for kinases and phosphatases. Recent articles highlight structure-based drug design for BRAF and LRRK2 mutants, machine learning in adhesive molecule screening, and 3D-QSAR models for blood-brain barrier permeability. He holds patents for anti-TM4SF4 humanized antibodies and pharmaceutical compositions for stroke treatment based on AMPK inhibition.