جست‌وجوی استاد و پژوهشگر

• Computational Catalysis
• Heterogeneous Catalysis
• Density Functional Theory
• +۷ مورد دیگر

William Schneider is the Dorini Family Chair of Energy Studies and Professor and Chair of the Department of Chemical and Biomolecular Engineering at the University of Notre Dame’s College of Engineering. He is also a Concurrent Professor in the Department of Chemistry and Biochemistry, reflecting his interdisciplinary expertise across chemical engineering and chemistry. Education: Ph.D., Ohio State University (1991) B.Sc., University of Michigan-Dearborn (1986) Research Interests: Professor Schneider’s research group employs state-of-the-art first-principles molecular simulations, primarily density functional theory (DFT), to investigate heterogeneous surface reactivity and catalysis. His work addresses critical challenges in energy production and environmental protection, including catalytic removal of NOx emissions, conversion of shale gas, fuel cell catalysis, and plasma-enhanced chemical transformations. The group bridges chemical engineering, chemistry, physics, environmental science, and materials science to deliver molecular-level insights that guide catalyst design and process optimization. Scientific Awards: Giuseppe Parravano Memorial Award for Excellence in Catalysis Research & Development (2018) Fellow, American Association for the Advancement of Science (AAAS) (2011) BP Foundation Outstanding Teacher Award for the College of Engineering (2009) Group & Collaborations: The Schneider Research Group operates within the Computational Environmental Catalysis theme at Notre Dame. The team collaborates broadly with experimental groups worldwide to validate predictions and accelerate technology deployment. Group resources include a GitHub organization hosting code repositories, standard operating procedures, and course materials, alongside a dynamic seminar schedule and open positions for graduate students and postdocs.

Oleg Yazyevمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Computational Physics
• Two-dimensional Materials
• +۴ مورد دیگر

Prof. Oleg Yazyev is an Associate Professor at the Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL). He holds the Chair of Computational Condensed Matter Physics (C3MP) and serves as a PhD Program Committee Member for the Doctoral Program in Physics. Education: BSc in Chemistry, Moscow State University (2003) PhD in Chemistry and Chemical Engineering, EPFL (2007) Postdoctoral Fellow, EPFL (2007–2009) Postdoctoral Fellow, University of California, Berkeley (2009–2011) His research focuses on theoretical and computational studies of two-dimensional and topological materials, particularly their electronic, magnetic, and transport properties for technological applications. Key contributions include work on graphene defects, topological insulators, and spintronics devices. Recent publications highlight his work on topological materials , graphene-based systems , and quantum transport . Trends include advancing understanding of defect-induced magnetism , grain boundaries , and Weyl semimetals . Scientific Awards: Swiss National Science Foundation Professorship (2011) ERC Starting Grant (2012) University Latsis Award (2018) He has supervised numerous PhD students and received grants from the Swiss National Science Foundation and European Research Council. His work bridges theoretical condensed matter physics and applied nanotechnology , with implications for next-generation quantum devices.

Jorge Kohanoffمشاهده پروفایل

استاد مهمان

• Materials Science
• Computational Physics
• Nanotechnology
• +۵ مورد دیگر

Jorge Kohanoff is a Visiting Professor at Queen’s University Belfast's School of Mathematics and Physics, affiliated with the Research Centre in Sustainable Energy. His work spans theoretical and computational physics, focusing on materials science and sustainable energy applications. Research interests include Electronic structure calculations Thermoelectric materials Real-time electron dynamics Nanotechnology for biomedical and energy applications Radiation effects on materials Climate change mitigation via material innovation Recent research outputs highlight his expertise in Density Functional Theory , nanobubble drug delivery , and thermoelectric cement composites , with trends toward interdisciplinary applications of physics in energy and medicine. Scientific awards include Cesar Milstein Fellowship (2010) Kohanoff has led projects on thermoelectric efficiency near phase transitions and high-altitude plant/bacteria applications for climate mitigation, collaborating with institutions like CIC NANOGUNE and participating in training schools and international conferences.

Anuj Goyalمشاهده پروفایل

استادیار

• Computational Material Science
• Electronic structure theory
• Defects thermodynamics
• +۱۴ مورد دیگر

Anuj Goyal is an Assistant Professor in the Department of Materials Science And Metallurgical Engineering at the Indian Institute of Technology Hyderabad. His research focuses on computational materials science, particularly electronic structure theory, defects thermodynamics, and multiscale modeling of metals and semiconductors. Education: Ph.D. from the University of Florida Research Interests: Computational Material Science Electronic structure theory Defects thermodynamics Point defects, dislocations, and interfaces Semiconductors (oxides, nitrides, chalcogenides, halides) First Principle Calculations Multiscale Modelling Applications in AI/ML, energy, and High Performance Computing (HPC)

Himanshu Joshiمشاهده پروفایل

استادیار

• Assembly and Dynamics of membrane-DNA systems
• Biomimetic Materials
• Nanopore sequencing
• +۱۴ مورد دیگر

Himanshu Joshi is an Assistant Professor at the Indian Institute of Science, affiliated with the Departments of Biotechnology and Engineering Science. His research spans interdisciplinary areas combining biotechnology, engineering, and computational sciences. Assembly and Dynamics of membrane-DNA systems Biomimetic Materials Nanopore sequencing DNA nanotechnology Computational Virology Biomedical Materials Biomedical Devices Biophysics/Medical Physics First Principle Calculations Multiscale Modelling Nanoscience & Technology Disease/Toxicity Mechanisms Drug Discovery/Drug Target Validation Preclinical Testing Molecular Virology Statistics Soft and Active Matter

Kanchana Vمشاهده پروفایل

استاد

• Computational Condensed Matter Physics
• Topological Materials
• Thermoelectric Properties
• +۱۱ مورد دیگر

Professor Kanchana V is affiliated with the Department of Physics at the Indian Institute of Technology Hyderabad, where she leads the Materials Design and Simulation Lab and Computational Condensed Matter Physics Lab. Her research focuses on topological materials, thermoelectrics, spintronic materials, and lattice dynamics using first-principles calculations within Density Functional Theory (DFT). Research Interests: Condensed Matter Theory and Material Science Topological Phase of Matter and Anomalous Hall Effects Thermoelectric Transport Beyond Relaxation Time Approximation Magnetic Materials and Magneto-Optical Applications Battery Materials for High Energy Density and Ionic Diffusion Lattice Thermal Conductivity and Phonon Dynamics Scientific Awards & Recognitions: Bronze Medal (SMC, 2023) MRSI Medal (IIT Madras, 2021) Fellow, Institute of Physics (UK, 2021) Editorial Board Member, Journal of Electronic Structure (IOP, 2021) Royal Society of Chemistry Fellowship (FRSC, 2020) Young Achiever Award (DAE Symposium, 2014) National Academy of Science Member (2014) Associate Fellow, Andhra Pradesh Academy of Sciences (2012) Her group has secured active research grants from CSIR, DST-SERB, and DRDO. Former students and associates have joined institutions like Howard University, BARC, John Hopkins University, and ICTP. The lab emphasizes interdisciplinary studies in topological materials and energy-related nanotechnology.

Mohan Raghavanمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Motor system
• Spinal cord
• +۹ مورد دیگر

Mohan Raghavan is an Associate Professor at the Indian Institute of Technology Hyderabad, affiliated with the Departments of Artificial Intelligence, Biomedical Engineering, and Heritage Science & Technology. His research spans interdisciplinary domains at the intersection of neuroscience, biomedical engineering, AI/ML, and heritage science. Ph.D. from Indian Institute of Science (IISc), Bengaluru His work focuses on computational neuroscience, spinal cord dynamics, bionics, and multiscale modeling. He develops assistive devices and rehabilitation technologies using principles of AI/ML and virtual reality, while also contributing to heritage science and technology. The Spinal Cord & Movement Laboratory, which he leads, integrates in-silico neuroscience, clinical applications, and educational research. Office Contact: Room C-446, Academic Block C, Indian Institute of Technology Hyderabad, Kandi-502284, Telangana, India | Phone: (040) 2301 - 6105

Shelaka Guptaمشاهده پروفایل

استادیار

• Heterogeneous catalysis
• Biomass
• Density Functional Theory
• +۲ مورد دیگر

Shelaka Gupta is an Assistant Professor in the Department of Chemical Engineering at the Indian Institute of Technology Hyderabad . Holding a Ph.D. from IIT Delhi , her research focuses on Heterogeneous catalysis , Biomass conversion, and computational methods including Density Functional Theory and First Principle Calculations . Education: Ph.D. from IIT Delhi Research Interests: Heterogeneous catalysis Biomass valorization Computational catalysis via Density Functional Theory First Principle Calculations Contact: Office: Room C-214/A, Academic Block C, IIT Hyderabad, Kandi-502284, Sangareddy, Telangana, India Phone: (040) 2301 - 6218

Mohd Suhail Rizviمشاهده پروفایل

استادیار

• Biomechanics
• Biophysics
• Systems Biology
• +۹ مورد دیگر

Mohd Suhail Rizvi is an Assistant Professor in the Department of Biomedical Engineering at Indian Institute of Technology Hyderabad . He is also affiliated with the Heritage Science & Technology program. His interdisciplinary research lies at the intersection of biology and physics, focusing on biomechanics, biophysics, systems biology, and biomedical materials. Education: Ph.D. from IIT Kanpur Research Interests: His work integrates multiscale modeling , first-principle calculations , and high-performance computing to explore complex biological phenomena. Key areas include: Cell-ECM interactions and mechanosensing Cancer metastasis mechanics Collective cell migration and motility Pattern formation in tissues Mechanoregulation in embryonic development 3D bioprinting mechanics Constitutive modeling of biomaterials AI/ML applications in bioengineering Teaching: He teaches a wide range of courses including Mathematical Models and Systems Biology , Computational Biomechanics Lab , Statistical Inference Methods in Bioengineering , Mechanobiology , Bayesian Inference in Bioengineering , and Control Systems . Contact: Email: suhailr@bme.iith.ac.in Office: BM305, BTBM Building, IIT Hyderabad, India Phone: +91 40 2301 6109

Vishal Agarwalمشاهده پروفایل

دانشیار

• Catalysis
• Biofuels
• Nucleation
• +۶ مورد دیگر

Vishal Agarwal is an Associate Professor in the Department of Chemical Engineering at Indian Institute of Technology Kanpur (IIT Kanpur). His research focuses on developing molecular-level understanding of complex systems in catalysis, biomass conversion, and nucleation processes. Dr. Agarwal received his PhD from the University of Massachusetts Amherst in 2012, followed by postdoctoral research at the University of California Santa Barbara from 2012-2016. He also holds an M.Tech from IIT Bombay (2006) and a B.Tech from Panjab University (2003). His research interests span Catalysis, Biofuels, Nucleation, Gas-Surface and Liquid-Surface Interactions, Molecular Simulation, Ab initio Molecular Dynamics, Density Functional Theory, Rare-Event Simulations, and Reaction Rate Theory. Dr. Agarwal's work primarily employs computational methods to investigate atomic-level processes that govern molecular transformations in various chemical systems. Analysis of his publication record shows a strong focus on computational chemistry applied to catalysis and materials science, particularly in the areas of zeolite chemistry, cellulose pyrolysis, and oxygen vacancy formation in metal oxides. His work bridges theoretical computational methods with practical applications in energy and materials. Research on cellulose decomposition highlighted in BioBased Digest and North American Clean Energy RG Madhudhane M. Tech. Best Masters Research Thesis Award, IITB, 2006 1st Prize in Technical Paper Presentation, Eureka-2002, PU, 2002 Dr. Agarwal has mentored several graduate students and has been involved in significant research projects related to computational chemistry and materials design. His laboratory at IIT Kanpur focuses on developing and applying advanced computational methods to understand complex chemical processes at the molecular level. The research group maintains active collaborations with institutions worldwide and has made notable contributions to the understanding of catalytic processes, biomass conversion mechanisms, and nucleation phenomena.

• Materials Science Education
• Digital Assessment Methods
• Student-Active Learning
• +۴ مورد دیگر

Gerhard Henning Olsen serves as an Associate Teaching Professor in the Department of Materials Science and Engineering at the Norwegian University of Science and Technology (NTNU), where he directs both the bachelor's programme in Chemistry and Materials Engineering (BIKOM) and the master's programme in Materials Science and Engineering (MSMT). His teaching portfolio centers on foundational courses including General Chemistry for Engineers and Introduction to Materials Science, with emphasis on innovative pedagogical approaches for engineering students. Dr. Olsen completed his MSc in Materials Chemistry (2007-2012) and PhD in Materials Science (2012-2016, advised by Tor Grande) at NTNU, followed by postdoctoral research at Cornell University (2017-2019). His academic journey reflects deep integration of Norwegian and international research training. His research bridges educational innovation and advanced materials physics. In education, Olsen pioneers digital exam systems and student-active learning methodologies, particularly for laboratory instruction. His materials science work investigates structure-property relationships in functional oxides, specializing in defect chemistry and strain engineering of ferroelectric thin films through combined computational (DFT) and experimental approaches. This dual focus enables cross-pollination between pedagogical development and materials discovery. Publication analysis (2012-2021) reveals progressive specialization: early work established fundamental mechanisms in tungsten bronzes and manganites, while recent research addresses applied challenges in tunable dielectrics for millimeter-wave applications and thin-film manufacturing. This trajectory demonstrates increasing technological relevance while maintaining theoretical rigor in electronic materials design. No major scientific awards or fellowships are documented in available sources. As an educator, Olsen has supervised 28 bachelor's students across twelve externally collaborative projects and two master's theses (as of spring 2025), with recent work focusing on chemistry education research. His supervision model emphasizes industry-academia partnerships, reflecting NTNU's engineering education philosophy. While specific grant details aren't public, his sustained publication output suggests consistent project funding typical for materials science academics.

Viswanath R R S R Chinthapentaمشاهده پروفایل

دانشیار

• Computational Solid Mechanics
• First Principle Calculations
• Multiscale Modelling
• +۱ مورد دیگر

Viswanath R R S R Chinthapenta is an Associate Professor in the Mechanical & Aerospace Engineering department at the Indian Institute of Technology Hyderabad . Research Interests: Computational Solid Mechanics First Principle Calculations Multiscale Modelling Nanoscience & Technology

Michael Rohlfingمشاهده پروفایل

استاد

• Condensed Matter Physics
• Electronic Structure Theory
• Many-Body Perturbation Theory
• +۷ مورد دیگر

Prof. Dr. Michael Rohlfing is a theoretical physicist at the Institute of Solid State Theory , University of Münster. His research focuses on electronic structure , optical excitations , and many-body perturbation theory in 2D materials and hybrid heterostructures . He leads the AG Rohlfing group, which develops and applies ab initio methods to study surfaces , interfaces , and nanoscale systems . Current projects include optical excitations in TMDC heterostructures under pressure (DFG since 2020) and electronic interface states in weakly bound systems (SFB 103, A13). His group investigates phenomena such as excitonic effects , electron-phonon interactions , and spin-orbit-driven surface states , with applications in nanotechnology and optoelectronics . Recent work explores trions , image potential effects , and valley-selective interlayer coupling in materials like CrSBr and MoS2 . Key publications highlight exciton dynamics in 2D systems, strain-tunable optical properties , and first-principles simulations of scanning tunneling microscopy images. His research team is involved in the Collaborative Research Center 1083 (Structure and Dynamics of Internal Interfaces) and the Computational 2D Materials Database (C2DB) . Scientific awards include the Heisenberg Fellowship (DFG, 2001-2004) and recognition for STM simulations and electron correlation studies . Prof. Rohlfing supervises numerous Bachelor’s , Master’s , and PhD students , including recipients of the Infineon PhD Award (Matthias Drüppel, 2017). His group regularly contributes to public workshops and collaborative experimental-theoretical studies .

Dildar Hussainمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dildar Hussain is an Assistant Professor in the Department of Artificial Intelligence Data Science at Sejong University, South Korea, where he has been serving since September 2022. His academic journey includes a Ph.D. in Biomedical Engineering from Kyung Hee University (2019), preceded by an MS in the same field (2014) and a BCS from Kohat University of Science and Technology, Pakistan (2010). Prior to his current position, he held significant roles including Postdoctoral Research Fellow at the Korea Institute for Advanced Study (KIAS), a subordinate institute of KAIST (2019-2022), Research and Development Engineer at YOZMA BMTech CO., LTD (2013-2019), and Research Associate at NUST Pakistan (2010-2012). His teaching portfolio at Sejong University includes Computer Organization and Architecture, Introduction to Data Analysis, Advance Programming Usage, Computer Vision, Artificial Intelligence and Cyber Security, Basic Coding Based on Computational Thinking, and Introduction to Applied Image Processing. Artificial Intelligence and Machine Learning applications in healthcare Medical Imaging and DXA image analysis Computer Vision and Image Processing techniques Biomedical informatics and computer-aided diagnosis Automation solutions in healthcare settings Natural language processing applications Hussain's research output shows a strong focus on applying deep learning techniques to medical imaging problems, particularly in osteoporosis detection using DXA imaging systems. His work spans multiple healthcare domains including cancer detection, diabetic retinopathy analysis, and embryo viability assessment. Recent publications (2023-2025) demonstrate expansion into diverse areas like text sentiment analysis, skin lesion diagnosis, and even materials science through computational studies of hydrogen storage materials. Kyung Hee University scholarship for Ph.D. Hussain has advised numerous research projects and collaborated extensively across disciplines, with co-authors from institutions worldwide. His industry experience at YOZMA BMTech significantly contributed to the implementation of machine learning algorithms for DXA image analysis in osteoporosis diagnosis devices. Current research directions include advancing AI techniques for medical diagnostics and exploring applications of deep learning in diverse scientific domains beyond traditional healthcare settings.

George Volonakisمشاهده پروفایل

استادیار

• Computational Materials Science
• Energy Materials
• Quantum Mechanics Simulations
• +۳ مورد دیگر

George Volonakis serves as a Junior Professor at the University of Rennes, France, affiliated with the Institute of Chemical Sciences of Rennes (ISCR) and the Inorganic Theoretical Chemistry team (CTI). His research focuses on computational materials science for energy applications, employing first-principles quantum mechanical calculations to investigate perovskite-based materials for next-generation solar cells and opto-electronic devices. His primary research interests encompass computational prediction of structural, electronic, and optical properties in energy materials, with specialized expertise in halide perovskites and their surface/interface phenomena. He develops advanced simulation methodologies including parameter-free hybrid functionals and efficient semiempirical approaches to model complex materials systems, aiming to accelerate discovery of stable, high-efficiency photovoltaic materials through computational design. Analysis of his 2021-2025 publications reveals sustained focus on perovskite materials science, with growing emphasis on lead-free alternatives (double perovskites), dimensionality effects (2D/3D structures), and polaronic phenomena. Key trends include integration of computational predictions with experimental validation, methodological innovations for band gap prediction, and targeted exploration of surface stability issues critical for device performance. Professor Volonakis currently leads the ANR-funded SURFIN project investigating surfaces/interfaces in new materials, demonstrating active grant support. Holding an HDR qualification, he supervises PhD students and maintains an open recruitment policy for motivated candidates. His research group operates within the CTI team at ISCR, providing computational expertise in materials discovery with strong collaborative links to experimental groups.