جستجوی استاد راهنمای دانشگاهی

• Special functions
• Fractional calculus
• Mathematical Physics
• +۲ مورد دیگر

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Organic Functional Materials
• Materials Informatics
• Structural Organic Chemistry
• +۴ مورد دیگر

Takuya Taniguchi is an Associate Professor at the Center for Data Science, Waseda University, where he has been employed since 2019, first as an Assistant Professor (2019-2021) before promotion to his current non-tenure track position. His interdisciplinary research bridges organic chemistry, materials science, and data science, with a focus on developing and analyzing functional organic materials, particularly photo-responsive molecular crystals. He maintains active collaborations with research groups including Hideko Koshima and Toru Asahi, and serves on professional committees such as the Manufacturing Industry AI Promotion Association. Education Doctor of Engineering, Waseda University (2019) Graduate studies at Waseda University's Graduate School of Advanced Science and Engineering Undergraduate studies at Waseda University's School of Advanced Science and Engineering, Department of Life Science and Medical Bioscience Research Focus Professor Taniguchi's work centers on structural organic chemistry and physical organic chemistry , with particular emphasis on organic functional materials and the application of materials informatics to crystal engineering. His research investigates how molecular structure influences macroscopic mechanical properties, especially photo-mechanical behaviors in organic crystals. He has pioneered the use of machine learning techniques to predict crystal properties, optimize materials performance, and design novel functional materials with applications in soft robotics and energy conversion. His recent work demonstrates a clear progression from fundamental studies of photo-mechanical crystals toward increasingly sophisticated applications of machine learning in materials science. The 15 most recent publications reveal a strong focus on neural network potentials for crystal property prediction, optimization of photo-actuated materials, and exploration of phase transitions in molecular crystals. This research trajectory shows consistent innovation in combining experimental chemistry with advanced computational methods. Awards and Recognition Inoue Research Encouragement Prize (2019) Ono Azusa Memorial Award from Waseda University (2019) Student Presentation Award at Japan Chemical Society 99th Spring Annual Meeting (2019) Poster Presentation Award at Chirality 2017 Multiple poster and presentation awards at international crystallography conferences Research Leadership Dr. Taniguchi leads multiple research projects funded by JSPS, JST, and industry partners including ENEOS Corporation and Sumitomo Foundation. His current projects include 'Efficient crystal structure prediction for organic porous materials,' 'Machine learning simulation of HOF material stability,' and 'Machine learning application for organic solid-phase transition.' He has successfully secured competitive funding including JST ACT-X and JSPS Early-Career Scientist grants. His work has received significant media attention, with coverage in Nikkan Kogyo Shimbun and Kagaku Kogyo Nippo highlighting breakthroughs in light-driven organic crystals with 3.7x improved output force. Academic Contributions Beyond research, Professor Taniguchi teaches extensively in Waseda's Global Education Center, offering courses in data science, statistical analysis with R, and statistics literacy across multiple academic quarters. He has contributed chapters to technical publications on process informatics, Bayesian optimization, and crystallization process design. His scholarly impact is evidenced by an h-index of 11 (Google Scholar) with 581 total citations, demonstrating significant influence in the emerging field of materials informatics for organic crystals.

Paul F. Rottmannمشاهده پروفایل

استادیار

• Additive Manufacturing
• Thin Film Alloys
• Materials Characterization
• +۳ مورد دیگر

Paul F. Rottmann is an Assistant Professor in the Chemical and Materials Engineering department at the University of Kentucky 's Stanley and Karen Pigman College of Engineering. He specializes in advanced materials characterization to connect macroscopic properties with nanoscale mechanisms in metals and thin films. Ph.D. , Materials Science & Engineering, Johns Hopkins University (2017) M.S. , Materials Science & Engineering, Johns Hopkins University (2012) B.S. , Materials Science & Engineering, University of Kentucky (2010) His research focuses on additive manufacturing (e.g., Inconel 718, aluminum alloys) and high-temperature thin film alloys , emphasizing processing-microstructure-property relationships. Techniques include custom small-scale mechanical testing , in situ SEM with FemtoTools platforms, and UK Electron Microscopy Center equipment. Recent trends in his publications highlight additive manufacturing (geometric effects on properties, applied magnetic fields), thin film characterization (refractory alloys, oxidation behavior), and fundamental deformation mechanisms (twins in magnesium, dislocation pathways, porous carbon fibers). The Rottmann Research Group trains students in fabrication-to-characterization approaches. Current members include graduate students Alewi Damilola David, Md. Imran Noor, R. Nicholaus (Nic) Quammen, Ben R. Sampson, and T. Connor Varney, who completed their Ph.D.s in 2024.

Daniel F. Keefeمشاهده پروفایل

استاد

• Data Visualization
• Interactive Computer Graphics
• Extended Reality (AR/MR/VR)
• +۷ مورد دیگر

Daniel F. Keefe is a Professor in the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities, where he directs the Interactive Visualization Lab (IV/LAB). He is also recognized as a Distinguished University Teaching Professor, reflecting his excellence in both research and education. His work bridges computer science, art, and design, with a focus on ethical and creative approaches to data interaction in extended realities. Education: Ph.D. in Computer Science from Brown University (2007) Bachelor of Science in Computer Engineering summa cum laude from Tufts University (1999) Additional training at the Rhode Island School of Design and School of the Museum of Fine Arts at Tufts University Professor Keefe's research centers on ethical, just, and creative human-data interaction in computer-mediated extended realities (AR/MR/VR). His work addresses high-stakes societal needs including human-in-the-loop data-driven medical decision making, Indigenous cultural revitalization, climate discourse, natural resource management, and computer-mediated creative work. His technological approaches span interactive 3D computer graphics, digital 3D drawing, multimodal sensing, spatial displays, digital fabrication with sustainable materials, and traditional craftsmanship. His research group, the Interactive Visualization Lab, is known for pioneering work at the intersection of art, science, and technology, producing over 80 research papers with numerous best paper awards at top ACM and IEEE venues. Scientific Awards: National Science Foundation CAREER Award (2010) Best Paper Award at IEEE VIS 2024 Best Paper Award at IEEE VIS 2015 Best Paper Honorable Mention at IEEE VIS 2013 ACM I3D 2011 Best Paper (Honorable Mention) IEEE VisWeek 2010 Best Panel Award 3M Nontenured Faculty Award McKnight Land-Grant Professor (2012-2014) Horace T. Morse-University of Minnesota Alumni Association Award for Outstanding Contributions to Undergraduate Education (2019) Bowers Faculty Teaching Award (2021) Professor Keefe has mentored eight Computer Science Ph.D. students and one Cognitive Science Ph.D. student to graduation, with his former students now holding positions as professors at institutions like Gonzaga, Macalester, Carleton, and UMN, as well as roles at companies including Google, 3M, and Abbott. He has also mentored more than 50 undergraduate students and advised over 20 undergraduate and master's theses. His research program is primarily funded by the National Science Foundation, with additional support from the National Institutes of Health, National Academies Keck Futures Initiative, Mayo Clinic, US Department of Agriculture Forest Service, cities of Minneapolis and Saint Paul, and corporate partners in the medical and computer industries. The Interactive Visualization Lab (IV/LAB) serves as the hub for Professor Keefe's transdisciplinary research. The lab is known for its inclusive culture and collaborative approach, working closely with Indigenous scholars and communities, artists, designers, and scientists across disciplines. Recent projects include Sculpting Vis (an NSF-sponsored project on artistic design for scientific visualization), Back to Indigenous Futures, and various initiatives exploring the intersection of data, art, and social justice. The lab has also been involved in creating public art installations like Orbacles in downtown Minneapolis and the Augmented Paafu Mat exhibited at the Queensland Art Gallery. Professor Keefe is deeply committed to diversity, equity, and inclusion, having founded and chaired the CS-IDEA committee and co-designed the department's Broadening Participation in Computing Plan.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +۳ مورد دیگر

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

• Two-Dimensional (2D) Materials
• Semiconductor Physics
• Nanoelectronics
• +۵ مورد دیگر

Yury Illarionov is an Associate Professor in the Department of Materials Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China. He was previously a postdoc researcher at TU Wien's Institute for Microelectronics (2016-2022) and a PhD student at TU Wien and Ioffe Institute (2011-2015). His research focuses on 2D materials for nanoelectronics, optoelectronics, and sensors, with an emphasis on gate insulator development and device reliability. Education: B.Sc. & M.Sc., Technical Physics, Peter the Great St-Petersburg Polytechnic University (2009, 2011) Double M.Sc., Advanced Material Science, Erasmus Mundus FAME Program (2012) Ph.D., Semiconductor Physics, Ioffe Institute (2015) Ph.D., Technical Sciences, TU Wien (2015) His research interests center on: Fabrication of 2D FETs, photodetectors, and sensors with novel insulators (fluorides, native oxides) Advanced device characterization across temperature ranges TCAD modeling for performance and reliability Scalable fabrication techniques compatible with industrial thermal budgets Publications highlight trends in 2D nanoelectronics, oxide trap analysis, and reliability engineering for next-generation devices, spanning journals like Nature Electronics, Nature Communications, ACS Nano, and IEEE Transactions on Electron Devices. Scientific Recognition : IEEE Senior Member (2020) Co-supervisor of multiple PhD awards (2015-2023) Best poster award (ICP2DC4, 2019) Erasmus Mundus scholarship (2010) High school gold medal (2005) Advising includes direct supervision of PhD students like T. Knobloch, with collaborative efforts across international teams. His lab, Laboratory of 2D Optoelectronics and Nanoelectronics (L2DON) , combines academic rigor with industrial partnerships to advance scalable 2D device technologies.

Sonia Lopez Alarconمشاهده پروفایل

دانشیار

• Quantum Computing
• Computer Architecture
• Heterogeneous Computing
• +۲ مورد دیگر

Sonia Lopez Alarcon is an Associate Professor in the Department of Computer Engineering at the Kate Gleason College of Engineering, Rochester Institute of Technology (RIT). She has been a faculty member since 2009, teaching core courses like Computer Organization and developing quantum computing curricula including the new CMPE-257 undergraduate course and CMPE-757 graduate course. Her research bridges computer architecture and quantum computing with emphasis on practical quantum circuit implementation. Her educational background includes a Bachelor of Physics and Master's in Device Physics from the University Complutense of Madrid (2002), followed by a PhD in Computer Engineering (2009) where she researched cache hierarchy in simultaneous multithreaded architectures. During her studies, she gained industry experience at Lucent Technologies and Fundetel working on integrated circuit design. Dr. Lopez Alarcon's primary research focuses on Quantum Computing and heterogeneous hardware solutions, specifically quantum circuit compilation processes, scalability challenges, and error resilience techniques. She investigates how to translate theoretical quantum algorithms into executable circuits while managing noise and resource constraints, with applications in optimization problems and physics simulations. Her work connects computer engineering principles to emerging quantum technologies. Analysis of her publication timeline shows a strategic shift from traditional computer architecture (2015-2018 cache/HLS research for GPU/heterogeneous systems) to quantum computing (2019-2021). Recent work explores quantum algorithms for combinatorial optimization (Grover's), quantum simulation of physical systems, and machine learning applications, reflecting her adaptation to the rapidly evolving quantum landscape while maintaining her architectural expertise. Her teaching excellence has been recognized through multiple awards: Kate Gleason College of Engineering Exemplary Performance in Teaching Award (2016, 2017, 2020) Computer Engineering Most Effective Teacher Award (2016) She actively mentors graduate students including Mark Danza (MS Computer Engineering candidate 2025), with whom she collaborated on quantum machine learning research featured in Quantum Zeitgeist (May 2025). She contributes to RIT's quantum information science minor launched in 2022, developing curriculum and supervising student research in this emerging field. Dr. Lopez Alarcon leads quantum computing research efforts within RIT's Department of Computer Engineering, collaborating with colleagues like Cory Merkel on quantum algorithm applications. Her work is supported through her personal research website and integration into university-wide quantum initiatives, positioning her at the forefront of academic quantum computing education and research.

Yingbin Huمشاهده پروفایل

استادیار

• Additive Manufacturing
• Materials Processing
• Advanced Machining
• +۴ مورد دیگر

Yingbin Hu is an Assistant Professor in the Industrial and Systems Engineering Department at Mississippi State University (MSU), part of the Bagley College of Engineering. Prior to joining MSU in 2024, he held an Assistant Professor position at Miami University. His educational background includes a Ph.D. in Industrial Engineering from Texas Tech University (2019), an M.S. in Manufacturing Engineering from the University of Texas-Rio Grande Valley (2015), and a B.S. in Mechanical Engineering from Shandong University (2013). Dr. Hu’s research focuses on additive manufacturing, materials processing, and advanced machining, with specializations in composite materials, laser-assisted manufacturing, and ultrasonic vibration techniques. His work has yielded over 70 peer-reviewed publications in journals like Composites Part B: Engineering and Additive Manufacturing , along with patents and conference contributions. He received the Miami University Junior Faculty Scholar Award and serves as an associate editor for Materials and guest editor for multiple journals. His research interests include: (1) additive manufacturing of composites, ceramics, and biomaterials; (2) ultrasonic vibration-assisted laser additive manufacturing; (3) laser alloying of metallic materials; and (4) rotary ultrasonic machining of hard materials. His contributions bridge fundamental material science with advanced manufacturing processes. Lab Affiliation: The AIM Laboratory (Additive Manufacturing & Innovation) Professional Memberships: SME, ASME, IISE Dr. Hu’s work emphasizes sustainable and high-performance material systems, with applications in biomedical engineering, aerospace, and advanced manufacturing. His recent articles explore 4D printing, functional graded ceramics, and acoustic field-assisted additive manufacturing techniques.

• Semiconductor Materials
• Nanotechnology
• Condensed Matter Physics
• +۳ مورد دیگر

Dr. Emmanouil Dimakis is a Researcher and Group Leader in the Spectroscopy department at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His research focuses on semiconductor nanowires, plasmonics, and optoelectronics, with emphasis on strain engineering, heterostructure design, and advanced spectroscopic techniques such as THz and infrared nanospectroscopy. His work explores electronic and optical properties of nanomaterials, including III-V semiconductor systems, InGaN/GaN quantum wells, and core-shell nanostructures. Key themes include understanding strain effects on material performance, developing high-electron-mobility nanostructures, and optimizing optoelectronic devices for near-infrared applications. Dimakis' publications highlight innovations in nanowire growth methodologies, nonlinear plasmonic responses, and time-resolved analysis of carrier dynamics under extreme conditions. His group employs cutting-edge techniques like probe-corrected HRSTEM and THz pump-probe spectroscopy to uncover fundamental material behaviors. Despite no listed awards or grants in the provided text, his contributions to nanomaterials research and spectroscopic characterization are evident through his prolific publication record spanning over two decades. His research group at HZDR continues to advance the frontiers of semiconductor physics and nanotechnology.

Deyu Liمشاهده پروفایل

استاد

• Micro/Nano Engineering
• Thermal Sciences
• Nanofabrication Techniques
• +۷ مورد دیگر

Professor Deyu Li is a faculty member in the Department of Mechanical Engineering at Vanderbilt University's School of Engineering. His research focuses on advancing energy and biomedical technologies through the study of micro/nano-scale thermal and fluid phenomena, nanofabrication techniques, and computational simulations using molecular dynamics and Monte Carlo methods. He leads the Micro/Nanofluidics Lab (MNTFL), which develops novel devices for energy conversion and medical applications. Education background includes: Ph.D., Mechanical Engineering, University of California M.E., Thermal Science, Tsinghua University B.E., Engineering Thermophysics, University of Science & Technology of China His research interests span several key areas, with a strong emphasis on nanoscale thermal and fluid transport, nanomaterials engineering, and the development of advanced microfluidic platforms. He explores these topics through experimental and computational approaches, including molecular dynamics simulations and nanofabrication. Specific areas of focus include: Micro/Nano energy systems and their applications in sustainable technologies Optimization of thermoelectric materials via phonon engineering Design of lab-on-a-chip devices for biomedical research Electrochemical flow capacitors and their performance in energy storage Characterization of nanowire and nanotube thermal properties Development of biocompatible microfluidic platforms Recent publications (2021–2025) highlight innovations in nanoscale thermal and fluid transport, including breakthroughs in phonon-mediated heat conduction, advanced thermoelectric materials, and biomedical applications of microfluidics. His work addresses challenges in energy efficiency, material interface optimization, and scalable fabrication of nanodevices. No scientific awards are explicitly mentioned in the provided text. Professor Li's advising and grants narrative remains unspecified, as no formal advisees or grants are listed. His research activities are centered on the Micro/Nanoscale Thermal-Fluids Lab (MNTFL), which bridges fundamental physics with practical applications in renewable energy and healthcare.

• Nanoscale Transport Phenomena
• Fluid Mechanics
• High-Performance Computing
• +۵ مورد دیگر

Dr. Gerald Wang is an Assistant Professor in Civil and Environmental Engineering at Carnegie Mellon University with courtesy appointments in Chemical Engineering and Mechanical Engineering. He leads the M5 Lab (Mechanics of Materials via Molecular and Multiscale Methods), focusing on nanoscale mechanics using computational approaches to solve civil engineering challenges related to water-energy systems, material resilience, and sustainable polymers. Education: Ph.D. in Mechanical Engineering and Computation, MIT (2019) S.M. in Mechanical Engineering, MIT (2015) B.S. in Mechanical Engineering, Mathematics & Physics, Yale University (2013) His research integrates statistical physics, fluid mechanics, and high-performance computing to investigate nanoscale structural and transport phenomena. Key areas include climate-resilient infrastructure, energy-water nexus solutions, and nanoscale thermal transport in materials. Recent work explores molecular-scale separation processes and recyclable polymer design using advanced simulation techniques. Publication trends demonstrate consistent focus on nanoscale transport mechanisms, computational method development, and interdisciplinary applications from materials science to urban systems. Articles frequently bridge molecular dynamics with macro-scale engineering problems. Awards: Scott Institute Seed Grant for clean energy research CMU Celebration of Education Award for teaching excellence Current projects include NSF-funded work on nanoscale slip phenomena and polymer upcycling collaborations. The M5 Lab develops open-source simulation tools and maintains active industry partnerships in advanced materials.

• Soft Robotics
• Materials Engineering
• Mechanical Engineering
• +۵ مورد دیگر

Majid Taghavi is a Research Fellow at the Department of Bioengineering, Faculty of Engineering, Imperial College London. He leads the Soft Robotic Transducer Lab, focusing on developing advanced soft actuators for healthcare and robotics applications. Previously, he held a postdoctoral position at the University of Bristol’s SoftLab, where he pioneered artificial muscle technologies. He earned his PhD in BioRobotics from Scuola Superiore Sant'Anna with highest honors and an Italian Institute of Technology (IIT) scholarship. His research interests include soft robotics, materials engineering, and actuator design. Key projects involve creating monolithic soft robots with self-sensing, variable stiffness, and high contraction actuators. Recent work explores applications in wearable, implantable, and surgical robotics. Notable achievements include developing electric actuators with 98% contraction and human-muscle-equivalent power density. His articles highlight advancements in electrostatic actuators, dielectric elastomers, and biomimetic designs. Awards include the IIT scholarship and academic honors for doctoral work. He advises on open positions in his lab and collaborates across disciplines. His labs (Soft Robotic Transducers Lab and Robotics Forum) drive innovations in soft robotics systems and transducers.

Feridun Boyluمشاهده پروفایل

استاد

• Mineral Processing
• Coal Technology
• Industrial Raw Materials
• +۳ مورد دیگر

Prof. Feridun Boylu is a Professor in the Department of Mineral Processing Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Mines. His research focuses on mineral processing techniques, coal technology, and industrial raw materials. He holds a PhD in Ore Coal Preparation and Evaluation from ITU and has extensive experience in academic leadership roles, including Head of Department and Advisor to the Rector at ITU. His work spans over 30 years, with contributions to coal flotation, dense medium cyclones, and bentonite characterization. Prof. Boylu has supervised numerous theses and leads projects funded by national and international grants, including EU initiatives like FineFuture. His research emphasizes sustainable mining practices and advanced separation technologies. Education: PhD (Ore Coal Preparation and Evaluation, ITU, 2004), MSc (Ore Coal Preparation, ITU, 1998), BSc (Mining Engineering, ITU, 1993) Key Roles: Professor at ITU, Former Head of Department (2021–2021), Erasmus Coordinator (2020–present), and International Student Coordinator (2021–present) Research Interests: Chemical-biological recovery techniques, coal water slurries, flotation optimization, and mineral beneficiation. His work addresses challenges in fine particle flotation, coal preparation, and sustainable utilization of industrial raw materials. Recent Projects: Includes the EU-funded FineFuture project (2019–2023) and studies on three-product dense medium cyclones and machine learning for mill liner wear prediction. His research bridges theoretical modeling and industrial applications in mineral processing.

• Photodetection
• Optical Engineering
• Photovoltaic Energy Systems
• +۳ مورد دیگر

Alan Morrison is a Senior Lecturer in the Department of Electrical and Electronic Engineering at University College Cork (UCC), part of the College of Science, Engineering and Food Science (SEFS). He holds roles including Vice-Dean for Undergraduate Affairs (since 2021) and former Dean of Engineering (2012–2018). His academic career began at UCC in 1998, progressing from Lecturer to Senior Lecturer in 2006. A Chartered Physicist (1998) and Senior Member of IEEE (since 2002), Morrison is also a Science Foundation Ireland Principal Investigator. Education : - B.E. (First Class Honors) in Electrical Engineering, UCC (1992) - Ph.D. in Electrical Engineering, National University of Ireland (1997) Research Interests : Morrison's work focuses on three core areas: 1. Multi-spectral LED lighting for horticulture (collaboration with School of BEES, UCC) 2. Optical detection, including Geiger-mode avalanche photodiodes (SPADs) for low-light imaging and photon counting 3. Photovoltaic systems and energy storage, with contributions to multi-junction solar cell development and concentrated photovoltaic (CPV) systems. His dormant research included nanopore DNA analysis technologies. Grants & Awards : - Science Foundation Ireland (SFI) grants: PhoCUS (€897k), MODCON-PV (€310k) - EU funding: Nano-ChApp (€203k) - Over 150 peer-reviewed publications and multiple patents. Teaching : Courses include EE1007 (Intro to Electrical Engineering), NE4008 (Photovoltaic Systems), and others focused on photonics, renewable energy, and embedded systems. Lab & Collaborations : Affiliated with the Tyndall National Institute's Photonics Centre. Active in interdisciplinary projects involving nanotechnology, energy systems, and agricultural technology.

Ahmedullah Azizمشاهده پروفایل

استادیار

• Mixed-Signal VLSI Circuits
• Non-Volatile Memory
• Beyond CMOS Device Design
• +۴ مورد دیگر

Ahmedullah Aziz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He earned his Ph.D. in Electrical and Computer Engineering from Purdue University (2019), an M.S. from Pennsylvania State University (2016), and a B.S. from Bangladesh University of Engineering & Technology (2013). His research focuses on mixed-signal VLSI circuits, non-volatile memory, and beyond-CMOS device design, emphasizing emerging technologies like ferroelectrics and spintronics. He leads the NorDIC Lab and has published over 60 articles in journals, conferences, and patents. Education: PhD, Electrical & Computer Engineering, Purdue University, 2019 MS, Electrical Engineering, Pennsylvania State University, 2016 BS, Electrical & Electronic Engineering, BUET, 2013 Research Interests: Aziz explores device-circuit-system co-design techniques, particularly in cryogenic neuromorphic systems, superconducting memory, and ferroelectric-based circuits. His work bridges material innovation with practical applications, aiming to advance energy-efficient and high-performance computing. Awards: EDAA Outstanding Dissertation Award (2019/2020) Outstanding Graduate Student Research Award (Purdue, 2019) Samsung 'Icon' Award (2013) Best Publication Awards (SRC-DARPA STARnet, 2015/2016) Advising & Grants: While specific grants are not detailed, his research has been supported by prestigious institutions. He has advised/co-advised projects in emerging technologies but no listed students. His work extends to reviewing IEEE journals, conference TPC roles, and editorial contributions. Labs & Teams: He directs the NorDIC Lab, focusing on next-generation computing and device innovation.