جست‌وجوی استاد و پژوهشگر

Saikat Duttaمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Saikat Dutta is an Assistant Professor in the Department of Computer Science at Cornell University. He is affiliated with the Software Engineering Group and focuses on the intersection of Software Engineering and Machine Learning . His work aims to enhance the reliability of ML-based systems while applying ML techniques to solve software engineering challenges. PhD in Computer Science from University of Illinois Urbana-Champaign (Summer 2023) Postdoctoral Researcher at University of Pennsylvania Bachelor's in Computer Science and Engineering from Jadavpur University Research Interests: Dr. Dutta's research spans several key areas: Automated test generation and debugging for ML/DL libraries Using AI/ML for automated software engineering tasks Improving performance of regression tests in ML libraries Static and dynamic analysis for probabilistic programming Article Trends: His recent publications emphasize: Automated testing of ML systems Security vulnerability detection using LLMs Probabilistic program analysis Neurosymbolic learning frameworks Flaky test management in stochastic environments Stochastic regression test optimization Scientific Awards: Meta AI LLM Evaluation Research Grant (2025) Mavis Future Faculty Fellowship (2022-23) Facebook PhD Fellowship (2020-22) 3M Foundation Fellowship (2019-2020) Advising & Grants: Dr. Dutta actively recruits PhD students and postdocs. He leads research projects supported by grants from Meta AI and participates in program committees for top conferences like ICSE and ISSTA. His lab focuses on neurosymbolic systems and ML-based software verification.

Ramy Arnaoutمشاهده پروفایل

دانشیار

• Systems Immunology
• Systems Medicine
• Computational Biology
• +۷ مورد دیگر

Ramy Arnaout, MD, DPhil , is an Associate Professor of Pathology at Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) , where he also holds affiliations with the Department of Systems Biology and Division of Clinical Informatics . As director of the Arnaout Laboratory for Immunomics and Informatics , he leads research at the intersection of systems immunology , machine learning , and clinical pathology . Education: SB in Mathematics, MIT DPhil in Biochemistry, Oxford University (Marshall Scholarship) MD, Harvard Medical School (Soros Fellow) Research Interests focus on decoding adaptive immunity through high-throughput sequencing of antibody and T-cell receptor repertoires, applying information theory and network analysis to understand immune dynamics in aging, cancer, and infections. His systems medicine work leverages real-world hospital data to optimize diagnostics and therapeutic strategies. Scientific Awards include the Reagan-Udall Foundation Grant for accelerating COVID-19 test approval, the Gordon and Betty Moore Foundation Award for BIDMC-UCSF collaboration, and prestigious fellowships like the Marshall Scholarship and Soros Fellowship . Advising & Grants highlight mentorship of computational biologists and a lab supported by NIH, American Heart Association, Massachusetts Life Sciences Center, and industry partners. His team has developed 3D-printed swabs and machine learning frameworks for immune repertoire analysis during the pandemic. Lab Structure includes 5–10 members spanning immunologists, computer scientists, and physicians. Collaborations extend to Dr. Rima Arnaout (UCSF), Dr. James Kirby (BIDMC), and institutions like Duke AI Health and Kapa Biosciences.

Karunanayake Esselleمشاهده پروفایل

استاد

• Electromagnetic Engineering
• Antenna Design
• Telecommunications
• +۶ مورد دیگر

Karunanayake Esselle (Karu P. Esselle) is a Distinguished Professor in Electromagnetic & Antenna Engineering at the University of Technology Sydney (UTS), School of Electrical and Data Engineering. He is a world-renowned expert in telecommunications, defence, and space technologies, leading the MetaSteerers research team. His affiliations include roles as Senior Editor for IEEE Access, Visiting Professor at Macquarie University, and Fellow of the Royal Society of New South Wales, IEEE, and Engineers Australia. Education includes a BSc (First Class Hons) in Electronic Engineering from the University of Moratuwa (Sri Lanka), and MASc/PhD in Electrical Engineering from the University of Ottawa (Canada). Research focuses on electromagnetic engineering, antenna design (including resonant cavity, metasurface, and millimeter-wave antennas), wireless communication systems, and applications in defence/space. His work emphasizes high-gain beam-steering antennas, wearable/implantable devices, satellite communications, and electromagnetic shielding. Recent trends include meta-steering techniques, CubeSat-compatible arrays, solar-cell-integrated antennas, and 3D-printed metasurfaces. Awards include the Premier’s Prize for Innovation Leadership (2024), Australian Eureka Prize (2023), Professional Engineer of the Year (2022), and 21 major prizes in 5 years. Key recognitions span innovation, mentorship, and research excellence across defence, space, and engineering sectors. Advises undergraduate/postgraduate students in engineering capstones and internships. Secured research grants exceeding $35 million, including ARC grants and the $245M SmartSat CRC. Leads labs like the MetaSteerers team and collaborates with defence/space industries.

Christos Makrisمشاهده پروفایل

دانشیار

• Data Structures
• Information Retrieval
• Data Mining
• +۵ مورد دیگر

Christos Makris is an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece. His academic career spans over two decades with significant contributions to computer science, particularly in data structures, algorithms, and information systems. He maintains active research collaborations and supervises graduate students in his areas of expertise. Dr. Makris's research spans several key areas in computer science with a strong focus on efficient data organization and processing. His work encompasses Data Structures , Information Retrieval , Data Mining , String Management and Processing Algorithms , Computational Geometry , Internet Technologies , Bioinformatics , and Multimedia Databases . His interdisciplinary approach bridges theoretical computer science with practical applications across various domains including web technologies, bioinformatics, and emergency response systems. Analysis of Dr. Makris's publication record reveals a consistent research trajectory focused on efficient algorithms for information management. His work demonstrates evolution from foundational data structure research in the 1990s to more applied work in web technologies, social media analysis, and machine learning applications in recent years. A notable pattern is his ability to adapt core algorithmic techniques to emerging application domains while maintaining theoretical rigor. Dr. Makris maintains an impressive scholarly record with over 3,000 citations, an h-index of 29, and an i10-index of 71 according to Google Scholar metrics. These indicators reflect the significant impact of his research within the computer science community. As an active faculty member, Dr. Makris maintains regular office hours on Tuesdays from 18:00-20:00 and Thursdays from 12:00-14:00. He is accessible via email at makri@ceid.upatras.gr or makri@upatras.gr for academic inquiries and student supervision.

Graham Ormondroydمشاهده پروفایل

استاد

• Wood Modification
• Biomaterials
• Phenolic Resin Applications
• +۳ مورد دیگر

Graham Ormondroyd is a Professor at the School of Environmental and Natural Sciences , Bangor University , specializing in the Biocompounds department. His research focuses on innovative wood modification techniques, sustainable biomaterials, and environmental impact assessments. Current projects include scaling waste-based composites for infrastructure and developing Welsh wool applications. Collaborations span academia-industry partnerships like Bangor University and Zentia Ltd KTP. Research Trends: His 2025 publications emphasize multi-scale resin diffusion analysis and UK wood recycling frameworks, while 2024 work explores laser incising and phenolic resin-NMR interactions. Recent studies also address VOC emissions from formaldehyde-free composites. Professional Activities: He chairs academic panels (e.g., International Panel Products Symposium) and reviews publications. Projects focus on net-zero construction and climate resilience.

Guillermo A. Ameerمشاهده پروفایل

استاد

• Tissue Engineering
• Regenerative Engineering
• Biomaterials
• +۷ مورد دیگر

Guillermo A. Ameer serves as the Daniel Hale Williams Professor of Biomedical Engineering at Northwestern University's McCormick School of Engineering and Professor of Surgery in the Feinberg School of Medicine. He directs the Center for Advanced Regenerative Engineering (CARE) and maintains affiliations with the Simpson-Querrey Institute, Chemistry of Life Processes Institute, and the IBiS Graduate Program. His leadership extends to founding the Regenerative Engineering Laboratory, which pioneered citrate-based antioxidant biomaterials known as polydiolcitrates. Americas' leading innovator in regenerative engineering, Ameer's research spans vascular, orthopaedic, and bladder tissue engineering. His lab developed Nanonets™ thermoresponsive oligomers and photoresponsive liquid polymers for applications including wound healing, islet transplantation, and 3D-printed vascular scaffolds. Notable breakthroughs include bioresorbable stents, bladder regeneration scaffolds, and diabetic wound healing technologies that have received FDA clearance and commercial implementation through companies like Acuitive Technologies and VesselTek BioMedical. His publication record demonstrates consistent innovation in biomaterials science, with research trends showing progression from fundamental polymer chemistry to sophisticated clinical applications. Recent work focuses on electroactive bladder scaffolds, 3D-printed vascular devices, and wearable health monitoring systems, reflecting his commitment to translating laboratory discoveries into tangible medical solutions. The 2025 launch of the Regenerative Engineering Institute underscores his growing institutional impact. Percy L. Julian Award (2024) BMES Athanasiou Medal of Excellence in Translational Bioengineering (2023) Election to National Academy of Medicine (2021) National Academy of Inventors Fellow (2019) AAAS Fellow (2018) AIChE Fellow (2017) Ameer has mentored over 30 PhD and Master's students who now lead research at institutions including Penn State, USC, and the FDA. His lab secures substantial NIH funding, including an American Recovery and Reinvestment Act Challenge Grant for liquid cast arterial stents. Current projects include the development of citrate-based biomaterials for bladder regeneration, diabetic wound healing, and bioresorbable vascular scaffolds, with multiple technologies transitioning to clinical applications through partnerships with medical device companies. The Regenerative Engineering Laboratory maintains a collaborative interdisciplinary environment with approximately 20 researchers spanning engineering and natural sciences disciplines. Recent initiatives include the development of wearable skin gas sensors (2025) and CITREPORE™ bone void filler (2024), demonstrating the lab's capacity to address diverse clinical challenges through biomaterials innovation.

Iftikhar Ahmadمشاهده پروفایل

استادیار

• Wide Bandgap Semiconductors
• Ultra-Wide Bandgap Semiconductors
• MOCVD Growth
• +۵ مورد دیگر

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.

James C. Davisمشاهده پروفایل

استادیار

• Empirical software engineering
• Security
• Safety
• +۷ مورد دیگر

James C. Davis is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He leads the Duality Lab, which focuses on the engineering of software-intensive computing systems with particular interest in how these systems fail and how those failures can be mitigated. His research takes a socio-technical approach, considering both human and technical perspectives in system engineering. Dr. Davis received his PhD in Computer Science from Virginia Tech, where he was advised by Dongyoon Lee. His research interests span empirical software engineering, security, safety, testing, and web technologies, with a strong emphasis on practical impact and measurement. He applies a socio-technical philosophy to his work, believing high-quality systems must be engineered considering both human and technical perspectives. His recent research focuses on software supply chain security, regular expression vulnerabilities (particularly ReDoS), pre-trained model security, and failure analysis in software systems. His work often involves empirical studies of real-world software systems and security practices, with a strong emphasis on practical impact and measurable results. Dr. Davis has received significant funding from the National Science Foundation, Google, Cisco, and Rolls Royce for his research. His publications appear in top-tier venues including ICSE, FSE, ASE, and USENIX Security. He has served on program committees for many major software engineering and security conferences. Among his notable achievements are being elevated to IEEE Senior Member in 2022, receiving the Ruth and Joel Spira Outstanding Teacher Award from ECE@Purdue in 2022, and multiple Best Paper and Best Poster awards. He has successfully mentored numerous PhD and Master's students, with several completing their theses on topics related to software security and engineering. Dr. Davis actively recruits graduate and undergraduate research assistants for his Duality Lab, which has produced influential work on software failure analysis, regular expression security, and machine learning supply chain security. His lab is supported by multiple federal and industry grants focused on improving the security and reliability of software systems.

Andrea Arcuriمشاهده پروفایل

استاد

• Software Testing
• Software Engineering
• Cloud Computing
• +۶ مورد دیگر

Andrea Arcuri is a Professor at the School of Economics, Innovation and Technology within Kristiania University of Applied Sciences . His research focuses on Software Testing , Software Engineering , and Cloud Computing , with a particular emphasis on automated testing techniques for web APIs. Specialized in RESTful, GraphQL, and RPC API fuzzing Developer of the open-source EvoMaster testing tool Pioneer in integrating evolutionary algorithms and symbolic execution for test generation Active in bridging academic research with industrial software testing practices His recent publications show a strong focus on Search-Based Software Testing (SBST) , Automated Test Generation , and Industrial Adoption of Testing Technologies . He has contributed extensively to improving testability through mock generation and database handling in API testing. While no formal scientific awards are listed in the public records analyzed, his work has been consistently published in top-tier software engineering venues since 2013. The articles demonstrate increasing sophistication in fuzzing techniques, with recent extensions to handle complex dependencies like MongoDB and SQL databases.

Peng Liمشاهده پروفایل

استاد

• Integrated Circuits and Systems
• Brain-Inspired Computing
• Electronic Design Automation
• +۶ مورد دیگر

Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.

Jason Hendersonمشاهده پروفایل

استاد

• Pesticide-free management methods
• Turfgrass establishment techniques
• Soil modification
• +۲ مورد دیگر

Jason Henderson is a Professor of Soil Science in the Department of Plant Science and Landscape Architecture at the University of Connecticut's College of Agriculture, Health and Natural Resources. His research focuses on developing sustainable turfgrass management practices through innovations in pesticide-free techniques, soil modification, and root zone assessment. Dr. Henderson holds a PhD in Crop and Soil Sciences from Michigan State University. Research Interests: His work encompasses turfgrass establishment optimization, laboratory methods for evaluating root zone constituents, and innovative approaches to enhance turf performance under traffic stress. Current projects investigate organic management systems, soil physical properties, and environmental sustainability in turf settings. Teaching: Dr. Henderson instructs courses including Introduction to Soil Science (SAPL 300), The Great American Lawn (SPSS 1060), and Advanced Turfgrass Management (SPSS 3150).

Bruce A. Maxwellمشاهده پروفایل

استاد آموزشی

• Computer Vision
• Robotics
• Computer Graphics
• +۳ مورد دیگر

Bruce A. Maxwell is a Teaching Professor and Assistant Director of Computing Programs at Northeastern University’s Seattle Campus, following roles as Chair of the Computer Science (CS) Department at Colby College (2013–2020) and leadership in establishing the Khoury College MS CS Align Program at the Roux Institute (2020–2022). His academic journey includes affiliations with Northeastern’s Seattle Campus and ongoing collaboration with Colby CS as a research scientist. He specializes in Computer Vision, Robotics, Computer Graphics, Game Design, and Data Analysis, with notable contributions to concussion management research through the Maine Concussion Management Initiative (MCMI), focusing on sports-related injury analysis and symptom monitoring. His research spans over two decades, with significant work in human-robot interaction, autonomous systems, and educational technology. Notable projects include developing tools for real-time shadow removal in autonomous driving contexts and analyzing cognitive outcomes in student-athletes post-concussion. Maxwell has authored over 50 peer-reviewed publications, emphasizing interdisciplinary approaches bridging computer science, sports medicine, and educational policy. Teaching innovations include integrating thematic elements (e.g., Lord of the Rings) into CS1 coursework and advocating for writing in computer science curricula. He maintains active roles in academic service, including SIGCSE conference contributions and panel discussions on gender equity in tech education. Education: Ph.D. in Robotics from Carnegie Mellon University (1996), M.Phil. in Engineering from Cambridge University (1993). Awards: Recognized for pedagogical contributions but no named awards listed in provided materials. Labs/Teams: Collaborates with the Maine Concussion Management Initiative and Khoury College’s Align Program team.

• Concrete Materials Science
• Civil Engineering
• Sustainable Construction Materials
• +۳ مورد دیگر

Jan Olek is the James H. and Carol H. Cure Professor in Civil and Construction Engineering at Purdue University's College of Engineering. His research focuses on sustainable construction materials, alkali-activated binders, 3D-printed concrete, and material durability. He leads studies on ASR mitigation, carbonation-activated cements, and novel pozzolans. His work integrates material science with engineering applications, addressing challenges like freeze-thaw resistance and mechanical performance of advanced composites. Key interests include: Cement chemistry and carbonation activation 3D printing of architectured materials Nano-additive effects on durability Alkali-silica reaction mechanisms His recent articles emphasize sustainable materials innovation, additive manufacturing, and durability assessment through advanced characterization techniques like microtomography. Research trends highlight environmental resilience, scalability of novel binders, and process optimization for industrial applications. Awards and recognitions are listed under institutional records. His advising focuses on graduate students in civil engineering and materials science, with grants supporting concrete durability, 3D printing R&D, and sustainable infrastructure projects. Current lab activities include the Purdue Extreme Sustainability Initiative and advanced concrete printing systems.

Geoffrey M. Geiseمشاهده پروفایل

دانشیار

• Membrane Separations
• Polymers
• Redox Flow Battery Membranes
• +۳ مورد دیگر

Geoffrey M. Geise is an Associate Professor at the University of Virginia's Department of Chemical Engineering , with a courtesy appointment in Materials Science and Engineering. His research focuses on advanced polymer membranes for water desalination, ion separation, and clean energy applications like redox flow batteries . He also directs the undergraduate chemical engineering program. Education: Ph.D. in Chemical Engineering (University of Texas at Austin, 2012) M.S.E. in Chemical Engineering (University of Texas at Austin, 2010) B.S. in Chemical Engineering (Pennsylvania State University, 2007) Research interests include: Fundamental studies of small molecule transport in polymeric materials Development of desalination and ion-selective membranes Non-aqueous redox flow battery membranes Microwave dielectric relaxation spectroscopy for material analysis Recent publications highlight breakthroughs in ion sorption mechanisms , solvent-specific membrane behavior , and modeling selectivity/permeability tradeoffs . Awards span teaching excellence (Hartfield Award, All-University Teaching Award), research recognition (NSF CAREER, NAMS Young Membrane Scientist), and innovation in lithium extraction technologies. Scientific Awards: National Science Foundation CAREER Award (2018) North American Membrane Society Young Membrane Scientist Award (2015) Ralph E. Powe Junior Faculty Award (2016) Journal of Membrane Science Editors’ Choice (2024) Geise actively teaches courses ranging from chemical thermodynamics to advanced transport processes while leading the Geise Research Group at UVA's Chemical Engineering 222 Lab and 325 Lab on McCormick Road.

• Biostatistics
• Public Health
• Medical Imaging
• +۳ مورد دیگر

Jingjing Zou is an Assistant Professor in Residence at the Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego. Her research focuses on integrating statistical methodologies with medical imaging and public health challenges, particularly in cancer prevention, physical activity analysis, and radiomics. Education: PhD in Statistics, Columbia University MA in Statistics, Columbia University BS in Statistics, Peking University Research Interests: Dr. Zou's work emphasizes functional data analysis, accelerometer-based physical activity monitoring, and MRI techniques for cancer treatment evaluation. She develops statistical models to analyze longitudinal health data, with applications in cardiovascular disease prevention and oncology. Her studies often bridge clinical outcomes with advanced imaging biomarkers. Grants: NIH/NHLBI (Principal Investigator): Examining Longitudinal Changes in Accelerometer-Measured Physical Activity in Preventing Cardiovascular Disease (2024-2028) NIH R37CA249659 (Co-Investigator): Advanced diffusion MRI for cervical cancer treatment evaluation (2021-2026) NIH R01CA255780 (Co-Investigator): Whole-body radiomics for gynecologic cancers (2020-2024) Labs/Teams: Collaborates with interdisciplinary teams in radiology, oncology, and biostatistics, including co-authors like Loki Natarajan (UCSD) and Loren Mell (UCSD).