Find Academic Supervisors

• Nanophotonics
• III-V Electronics
• Nanotechnology
• +5 more

Kirsten Moselund is a Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) and Head of the Laboratory for Nano and Quantum Technologies (LNQ) at the Paul Scherrer Institute (PSI) since 2022. She leads LNQ’s six research groups focused on nanotechnology and advanced nanomanufacturing quantum computing technologies with co-location of the ETHZ-PSI Quantum Computing Hub and affiliation to EPFL's Quantum Science and Engineering Center (QSE) . Her research spans semiconductor device physics and technology development, including III-V electronics nanophotonics topological devices cryogenic electronics with applications in quantum computing, optical communication, and integrated photonics. She received an ERC Starting Grant for hybrid photonic-plasmonic nanolasers. Recent publications focus on III-V photodetectors on silicon hybrid laser integration thermal management in nanocavities topological mode emission across Nature Communications , ACS Photonics , and Nature Electronics . Scientific awards include ERC Starting Grant and institutional roles such as Member of IHP Microelectronics Scientific Advisory Board Executive Board of Swiss Photonics Technical Program Committee member for IEDM conference At PSI, she oversees construction of the Park InnovAare cleanroom opening in 2024 and collaborates with international groups on theoretical foundations and simulations.

William HarbertView profile

Professor

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +5 more

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

Gabriel Koch OckerView profile

Assistant Professor

• Theoretical Neuroscience
• Computational Neuroscience
• Neuronal Network Modeling
• +5 more

Gabriel Koch Ocker is an Assistant Professor in the Department of Mathematics & Statistics at Boston University, specializing in theoretical and computational neuroscience. His research investigates how neural activity encodes sensory information, shapes behavior, and evolves through learning mechanisms. Research Focus: Structure-function relationships in neuronal networks Methodology: Dynamical systems, stochastic processes, statistical physics Collaborations: Experimental validation of computational models Recent publications analyze integrate-and-fire networks, dendritic calcium spiking, inhibition-stabilized circuits, and metastability in stochastic neuronal systems. His group combines mathematical rigor with biological relevance to explore neural coding, plasticity, and functional hierarchy in cortical structures. Key contributions include tensor decomposition approaches to correlation analysis, reconciling recording technique discrepancies, and developing field-theoretic frameworks for compartmental modeling. Work spans from molecular-level channel dynamics (Kv7 channels) to brain-area-level functional organization.

Saket AsthanaView profile

Professor

• Ferroelectrics
• Energy Storage
• Piezoelectrics
• +7 more

Prof. Saket Asthana is a Professor in the Department of Physics at the Indian Institute of Technology Hyderabad (IIT Hyderabad), where he leads the Advanced Functional Materials Laboratory (AFML). His academic qualifications include a Ph.D. from IIT Bombay, an M.Tech. from IIT BHU, and an M.Sc. from Banaras Hindu University. He has held postdoctoral positions at Osaka University (Japan), ICMCB-CNRS (France), and Kyungpook National University (South Korea). His research focuses on functional materials with emphasis on: Ferroelectrics and piezoelectric systems for energy storage Multiferroics and magnetoelectric composites Photocatalytic materials for energy conversion Lead-free relaxor ceramics and nanostructured oxides Cation engineering for property optimization Analysis of his 50+ publications reveals dominant themes in lead-free piezoelectric ceramics, rare-earth substituted bismuth ferrites, magnetocaloric effects, and photoelectrochemical materials. His work consistently bridges fundamental property characterization with applications in energy storage, sensors, and catalysis. Honors include being elected as a Fellow of the Royal Society of Chemistry . He has supervised 10+ PhD students and 15+ Master's students, with current advisees working on piezoelectric ceramics, multiferroic composites, and energy storage materials. His laboratory conducts research funded by DST-SERB, CSIR, DRDO, and international collaborations, including active projects on relaxor ferroelectrics (2020-2023) and organic solar cells (2019-2022). The Advanced Functional Materials Laboratory specializes in materials synthesis (hydrothermal/solid-state), structural characterization (XRD/SEM), and property measurements (ferroelectric/magnetic hysteresis, impedance spectroscopy, piezoelectric coefficient analysis).

• Structural Engineering
• Random Vibrations
• Earthquake Engineering

Professor Vinay Kumar Gupta is a faculty member in the Department of Civil Engineering at Indian Institute of Technology Kanpur. He specializes in Structural Engineering with research focus on Random Vibrations and Earthquake Engineering. With over two decades of service at IIT Kanpur, he has established himself as a leading expert in seismic analysis and structural dynamics. His educational background includes a PhD and M.S. from University of Southern California, USA (1989, 1990), and M.E. and B.E. from University of Roorkee (1985, 1982). Professor Gupta teaches courses in Mechanics of Solids, Structural Analysis, Structural Design, Structural Dynamics, Earthquake Analysis and Design of Structures, and Random Vibrations. His research focuses on earthquake engineering, particularly in the areas of random vibrations, response spectrum analysis, and structural dynamics under seismic loads. His publications demonstrate expertise in analyzing multistoried buildings, spectral velocity ordinates, modal combination rules, and wavelet-based simulation of aftershock accelerograms. His work bridges theoretical analysis with practical applications in seismic design. Young Engineer Award, 1997 from Indian National Academy of Engineering (INAE) Editor, ISET Journal of Earthquake Technology (since May, 1998) Vice-President, Indian Society of Earthquake Technology (ISET) (04/03-03/07) Life Fellow, ISET since February, 2003 Kapitsa Gold Medal in 2004 from the Russian Academy of Natural Sciences Professor Gupta has mentored students including Riya Catherine George and Varun Kumar Singla. His research group contributes significantly to advancing knowledge in earthquake engineering and structural dynamics. His work has practical applications in improving building safety standards and seismic design methodologies.

Zhefeng GuoView profile

Associate Professor

• Structural Biology
• Biochemistry
• Neurodegenerative Diseases
• +4 more

Zhefeng Guo is an Associate Professor in the Department of Neurology at UCLA School of Medicine, specializing in structural biology and biochemistry of amyloid-related neurodegenerative diseases. His research focuses on understanding the structural mechanisms of amyloid fibril formation in Alzheimer's, Parkinson's, and prion diseases. Structural characterization of amyloid fibrils Development of EPR methods for protein dynamics Investigation of aggregation mechanisms and diagnostics The Guo Lab employs advanced techniques like electron paramagnetic resonance (EPR), X-ray crystallography, and protein engineering to elucidate amyloid structures and their pathological transitions. Recent work explores conformational ensembles, fibril polymorphism, and membrane interactions affecting aggregation. Key research trends include amyloid structural heterogeneity, oligomer-fibril dynamics, and molecular mechanisms of neurotoxic aggregates. The lab actively investigates therapeutic strategies targeting amyloid formation through compounds like EGCG.

Geneive HenryView profile

Professor

• Natural Product Chemistry
• Medicinal Chemistry
• Organic Chemistry
• +3 more

Geneive Henry is a Jamaican-American chemist and the Charles B. Degenstein Professor of Chemistry at Susquehanna University since 2017. She received her Ph.D. in Organic Chemistry (1998) and B.Sc. in Chemistry (First Class Honors, 1993) from the University of the West Indies (Mona). Her academic journey includes postdoctoral fellowships at Harvard University and the University of Rhode Island, and visiting appointments at Lincoln University. Her research focuses on natural product and medicinal chemistry , particularly investigating antioxidant mechanisms, enzyme inhibition (tyrosinase, SARS-CoV-2 Mpro), and anticancer properties of chromene, quinoline, and thymol derivatives. She has secured multiple NSF and Cottrell grants for NMR instrumentation and chemical investigations of Pennsylvania Hypericum species. 2024 : CUR Fellows Award for Undergraduate Research Leadership 2020 : CUR Outstanding Mentorship Award 1998 : IODE Fellowship (Canada), Best Ph.D. Poster & Thesis (UW-I) She has mentored over 40 undergraduate researchers and co-authored 15+ peer-reviewed publications with students since 2015. Her work spans bioinorganic chemistry , pharmacognosy , and computational drug design , with recurring themes in antioxidant activity , DNA interaction studies , and metal complexation .

Seung Eock KimView profile

Professor

• Structural Engineering
• Nonlinear Inelastic Analysis
• LRFD Design
• +3 more

Seung Eock Kim is a Professor in the Department of Civil and Environmental Engineering at Sejong University, Korea, where he has served since 1997. Previously, he held executive leadership as Senior Vice President (2015-2018) and brings industry experience from Daewoo Engineering. His academic credentials include a Ph.D. from Purdue University (1996), M.S. from KAIST (1990), and B.S. from Yonsei University (1983). Kim leads research in structural systems optimization with emphases on: Nonlinear inelastic analysis of steel/composite structures AI-driven structural design methodologies LRFD (Load and Resistance Factor Design) frameworks Advanced computational mechanics for infrastructure His recent publications (2024-2025) demonstrate strong focus on machine learning applications for structural health monitoring, nano-scale material characterization of steels, and sensor-based corrosion detection. This represents a strategic expansion into intelligent infrastructure systems beyond traditional mechanics. Awards and honors: National Research Laboratory designation (Ministry of Science, 2000) Elected Full Member of Korean Academy of Science and Technology (2011) He directs the Steel Structure Laboratory , where he developed the specialized nonlinear analysis software 3D-PAAP. His research has generated 132 SCIE-indexed publications with 1,599+ citations, including the influential CRC Press book LRFD Steel Design Using Advanced Analysis (1997).

Suyong LeeView profile

Professor

• Artificial intelligence for food systems
• Alternative food processing
• Food Texture Design
• +5 more

Suyong Lee is a Professor in the Department of Food Science and Biotechnology at Sejong University, leading research at the Carbohydrate Bioproduct Research Center. His work bridges food science, artificial intelligence, and advanced processing technologies to develop innovative food systems. His research focuses on Artificial intelligence for food systems , Alternative food processing , and Food Texture Design , with particular emphasis on hydrocolloids, oleogels, and plant-based analogues. His laboratory specializes in rheo-processing technologies that integrate machine learning with hyperspectral imaging for non-destructive food analysis. Analysis of his recent publications reveals strong trends in AI-driven food characterization, with 60% of his 2023-2025 work applying machine learning to predict food properties. His research spans from fundamental carbohydrate chemistry to applied product development, particularly in sugar reduction, fat replacement, and gluten-free systems. Over 130 peer-reviewed research papers More than 30 patent applications h-index of 47 with 6548 citations He actively supervises research in food texture engineering and maintains strong industry collaborations, particularly in developing plant-based meat and dairy alternatives using hydrocolloid-based technologies. His laboratory operates cutting-edge facilities for rheological analysis, hyperspectral imaging, and AI modeling of food systems.

• Textile Engineering
• Smart Textiles
• Electronic Textiles
• +7 more

André Catarino is an Assistant Professor in the Department of Textile Engineering at the University of Minho, Portugal, and Deputy Director of the 2C2T – Center for Textile Science and Technology since 2022. He is an integrated researcher at the center, with a strong focus on interdisciplinary research at the intersection of textiles, electronics, and materials science. Education: Postgraduate Specialization in Digital Business, University of Porto, Porto Business School (2020–2021) Ph.D. in Textile Engineering, University of Minho (2005) M.Sc. in Textile Engineering, University of Minho (1998) B.Sc. in Electrical and Computer Engineering, University of Porto (1992) Research Interests: André Catarino's research spans a wide range of domains, including smart and electronic textiles , wearable sensor systems , materials engineering , and functional textiles for health and sports . His recent work also delves into digital marketing and the application of artificial intelligence in textile systems. His expertise encompasses electronics, instrumentation, programming, fabric manufacturing, and textile characterization. He has led or participated in over 25 national and international research projects , including EU-funded initiatives like BE@T, GreenAuto, and Fashion Alive. His work has resulted in 4 Portuguese patents and 1 European patent , alongside numerous prototypes and technology transfers. Publications and Impact: With over 115 scientific publications , including journal articles, book chapters, and conference proceedings, his research output is both broad and impactful. His recent publications focus on smart vests for posture monitoring, textile-based EMG electrodes, and consumer behavior in fashion marketing. Student Supervision: He has supervised or co-supervised more than 45 master’s and doctoral dissertations , covering topics from wearable health monitoring systems to sustainable fashion design and digital marketing strategies. Labs and Teams: As Deputy Director of the 2C2T – Center for Textile Science and Technology , he leads a multidisciplinary team of researchers and engineers. The center is a hub for innovation in textile science, with a strong emphasis on integrating electronics, sustainability, and human-centered design into textile applications.

Benjamin RicaudView profile

Associate Professor

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +3 more

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

Jocelyn Alcántara-GarcíaView profile

Associate Professor

• Conservation Science
• Cultural Heritage Materials
• Textile Conservation
• +5 more

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.

Nandika BandaraView profile

Associate Professor

• Food Science
• Protein Chemistry
• Nanotechnology
• +4 more

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.

Daniela StrenkertView profile

Assistant Professor

• Plant Biology
• Systems Biology
• Molecular Biology
• +12 more

Daniela Strenkert is an Assistant Professor at Michigan State University, affiliated with the MSU-DOE Plant Research Laboratory, Plant Biology Department, Molecular Plant Sciences Program, BioMolecular Science Gateway, and Cell & Molecular Biology Program. Her research focuses on systems biology approaches to understand gene regulation in photosynthetic organisms. Ph.D., University of Kaiserslautern, Germany Her lab investigates photosynthetic performance through multi-omics analysis of chromatin structure, transcriptomes, proteomes, and metabolomes in Chlamydomonas reinhardtii . Key areas include environmental acclimation, histone modification mapping (GreENCODE project), and regulatory RNA characterization. Recent publications emphasize computational modeling of photosynthetic protein interactions, metal homeostasis under stress, and chloroplast protein import mechanisms. Articles span 2025-2010, with 15 most recent from 2025-2022. Her work integrates genome-wide datasets to decode algal regulatory programs under climate change-relevant stressors. She teaches BS 161: Cells and Molecules and maintains a lab at 106 Plant Biology Lab. Contact: strenke2@msu.edu .

Iftikhar AhmadView profile

Assistant Professor

• Wide Bandgap Semiconductors
• Ultra-Wide Bandgap Semiconductors
• MOCVD Growth
• +5 more

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.