Find Academic Supervisors

• Physics-based statistical signal processing
• Subsurface sensing
• Auditory prostheses
• +6 more

Leslie M. Collins is a distinguished Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Professor in the Department of Head and Neck Surgery & Communication Sciences at Duke University's Pratt School of Engineering. She is also a Faculty Network Member of the Duke Institute for Brain Sciences, demonstrating her interdisciplinary reach across engineering, medicine, and neuroscience. Dr. Collins earned her BSEE from the University of Kentucky, followed by MSEE and PhD degrees from the University of Michigan, Ann Arbor. After working as a Senior Engineer at Westinghouse Research and Development Center from 1986 to 1990, she joined Duke University in 1995 as an Assistant Professor, was promoted to Associate Professor in 2002, and to full Professor in 2007. Her research spans physics-based statistical signal processing, subsurface sensing, auditory prostheses, and pattern recognition. Dr. Collins has made significant contributions to landmine detection systems, having been part of the team that transitioned MURI-developed algorithms to the Army HSTAMIDS and GSTAMIDS systems. Her work on cochlear implants and brain-computer interfaces represents groundbreaking advances in auditory prosthetics and neural engineering. She has secured substantial research funding from agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH. Analysis of her recent publications reveals a strong trajectory toward integrating deep learning with traditional signal processing approaches across multiple domains. Her work bridges military applications (landmine detection), medical technology (cochlear implants, heart monitoring), and infrastructure analysis (power grid mapping), demonstrating remarkable versatility in applying core signal processing principles to diverse real-world problems. DoD UXO Cleanup Project of the Year (2000) Member of Tau Beta Pi honor society Member of Sigma Xi honor society Member of Eta Kappa Nu honor society Dr. Collins has been a dedicated mentor, graduating 15 PhD students as of 2015. Her research has been supported by numerous grants from major federal agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH, reflecting the significance and impact of her work across defense, environmental, and medical applications. She has played a key role in translating research into practical systems, particularly in landmine detection where her work has directly impacted military operations. Her research group operates at the intersection of multiple laboratories and teams, including collaborations with the Duke Institute for Brain Sciences and various medical departments at Duke. This interdisciplinary approach enables her to tackle complex problems that span traditional academic boundaries, from developing algorithms for landmine detection to creating improved speech processing for cochlear implant users.

• Tribology
• Materials Science
• Manufacturing Engineering
• +3 more

Mehmet CEVİZ serves as a Lecturer at Trakya University's Kesan Vocational School, where he has held academic positions since 2020, initially as an Instructor and advancing to Instructor Doctor following his 2021 PhD completion. His teaching portfolio spans core mechanical engineering disciplines including Computer Aided Drawing, Manufacturing, Thermodynamics, and Occupational Health and Safety across vocational curriculum. His academic foundation comprises comprehensive mechanical engineering training: a 2021 PhD and 2015 Master's in Mechanical Engineering from Trakya University, a 2012 Bachelor's from Hitit University, complemented by earlier vocational qualifications from Trakya University and Edirne Technical High School. CEVİZ's research centers on tribological phenomena and advanced manufacturing processes, with particular emphasis on temperature-dependent wear mechanisms in metallic alloys, surface engineering solutions for industrial components, and computational modeling of forming processes. His experimental work frequently combines finite element analysis with empirical validation to address real-world manufacturing challenges in valve production and aerospace materials. Analysis of his 2021-2023 publications reveals a concentrated focus on dry sliding friction behavior under thermal stress, hot forging defect mitigation, and composite material development - demonstrating consistent application of both experimental and numerical methodologies to solve industrial-scale material performance problems. No scientific awards were documented in the source materials. While his teaching responsibilities encompass 12 distinct mechanical engineering courses, no student advising relationships or research grants were specified in the provided documentation. The materials indicate active engagement in research but do not reference specific laboratories, research teams, or collaborative groups beyond co-authorship patterns.

Howard KuhnView profile

Adjunct Professor

• 3D Printing
• Additive Manufacturing
• Fracture Mechanics
• +3 more

Howard Kuhn is an Adjunct Professor in the Department of Industrial Engineering at the Swanson School of Engineering, University of Pittsburgh. He holds a PhD in Mechanical Engineering from Carnegie-Mellon University (1966), along with prior degrees from the same institution (MS, 1963; BS, 1962). His research focuses on 3D Printing Additive Manufacturing Fracture Mechanics Mechanical Behavior of Materials Workability Analysis Powder Metallurgy .

Onur KILIÇView profile

Lecturer

• Interior Architecture
• Sustainable Design
• Design Education
• +3 more

Dr. Onur KILIÇ serves as a Lecturer in the Department of Interior Architecture at Cukurova University's Faculty of Architecture, Turkey, focusing on sustainable design innovation and digital technologies in architectural practice and education. His research spans waste material utilization in architecture, virtual reality applications for design education, and cinematic interior space analysis—particularly in horror and science fiction genres. He investigates texture composition techniques, ergonomic design in confined environments like submarines, and corporate identity expression through retail spatial design, with emphasis on material science applications including wood composites. Analysis of his 28 publications reveals consistent exploration of sustainable material cycles, educational methodologies for detail design, and psychological impacts of spatial narratives in media. His recent 2024 works demonstrate evolving focus on circular economy principles in architecture and cross-disciplinary connections between film studies and interior spatial psychology. Scientific awards: No awards documented in available sources. Advising and grants: No information available regarding student supervision, research grants, or funded projects. Labs and teams: No specific research laboratories, collaborative teams, or institutional partnerships are referenced in the provided materials.

Chuang GanView profile

Assistant Professor

• Computer Vision
• Graph Deep Learning
• Multimodal Learning
• +5 more

Chuang Gan is a distinguished researcher holding dual positions as a Principal Research Staff Member at the MIT-IBM Watson AI Lab and an Assistant Professor at the University of Massachusetts Amherst. His work bridges academic research and industrial applications in artificial intelligence, with particular focus on advancing the frontiers of computer vision and multimodal learning systems. Dr. Gan's research interests span multiple interconnected domains within artificial intelligence. He specializes in video understanding, with deep expertise in representation learning, neural-symbolic visual reasoning, audio-visual scene analysis, and embodied intelligence. His work frequently integrates graph deep learning techniques with neuro-symbolic approaches to create more interpretable and robust AI systems. The recurring themes across his research portfolio include developing models that can understand physical dynamics from visual inputs, creating systems capable of embodied reasoning, and building bridges between symbolic and neural approaches to artificial intelligence. His publications reveal a strong trend toward increasingly sophisticated multimodal systems that integrate visual, auditory, and linguistic information. Over time, his work has evolved from basic video understanding tasks to complex embodied reasoning systems capable of physical simulation, 3D scene understanding, and multi-agent collaboration. A notable pattern is the progression from analyzing static scenes to understanding dynamic physical interactions and embodied agent behaviors in increasingly complex environments. Microsoft Fellowship Baidu Fellowship Dr. Gan's research has received significant recognition from major technology companies through prestigious fellowships and has been widely covered by leading media outlets including CNN, BBC, The New York Times, WIRED, Forbes, and MIT Tech Review. His work at the MIT-IBM Watson AI Lab provides him with access to substantial resources for cutting-edge AI research, while his academic position enables him to train the next generation of AI researchers. His collaborations with prominent researchers like Antonio Torralba demonstrate his integration within the top echelons of the computer vision and AI research community. At the MIT-IBM Watson AI Lab, Dr. Gan leads research initiatives focused on advancing video understanding and embodied intelligence. His work contributes to the lab's mission of developing AI systems that can perceive, reason about, and interact with the physical world in more human-like ways. His research group likely focuses on developing novel architectures for multimodal learning, creating benchmarks for physical reasoning, and building systems that can transfer knowledge between simulation and real-world environments.

• Engineering Graphics
• Descriptive Geometry
• Architectural Design
• +2 more

Svitlana Anatoliivna Bovkun is a Senior Lecturer at the Department of Integrated Technologies of Welding and Modeling of Structures within the Engineering Faculty of Zaporizhzhia Polytechnic National University. With academic activities since 2005, she specializes in engineering graphics and descriptive geometry, contributing to educational materials and interdisciplinary research at the intersection of design, mathematics, and technical visualization. Education: Electrical Engineer from V.Ya. Chubar Mass Media (1987) Her research focuses on geometric principles in technical representation, including linear perspective techniques and spatial modeling. She has authored textbooks and conference papers exploring dimensional constraints in manufacturing, geometric illusions, and biomimetic design applications. Scientific Activities: Though no formal awards are listed, her work spans 15+ publications, including two major textbooks. She actively participates in the university’s Science Week conferences, presenting research on geometric forms in architecture and bionics in design. Languages: English (with dictionary assistance) Contact: Room 341, 64 Zhukovsky St., Zaporizhzhia, Ukraine Phone: +380(61)769-82-60

• Mechanical Engineering
• Polymer Gears
• Additive Manufacturing
• +4 more

Enis Muratović is an Associate Professor at the Faculty of Mechanical Engineering, University of Sarajevo, with active research in mechanical engineering and biomechanics. His work bridges theoretical analysis with practical applications in polymer systems and medical devices. His primary research interests include: Mechanical Engineering Polymer Gears and Tribology Additive Manufacturing (3D Printing) CAD/CAE Systems Development Mechanical Stability Analysis Biomechanics and Medical Device Engineering Dr. Muratović's research focuses on understanding wear mechanisms in polymer gears, particularly PVDF, and their performance under various load conditions. He investigates how manufacturing parameters like incline angles affect 3D printed element quality and develops integrated CAD systems for spring design and prototyping. His biomedical work analyzes external fixation devices' mechanical properties under axial pressure and torque loads, comparing traditional steel frames with composite alternatives. His recent publications (2023-2025) demonstrate a strong trend toward interdisciplinary research connecting mechanical engineering fundamentals with biomedical applications, with particular emphasis on failure analysis, load capacity, and wear prediction in polymer-based mechanical systems. Dr. Muratović has contributed to several institutional projects, including self-evaluation reports for mechanical engineering programs and the development of CAD systems for spring design and laboratory modernization initiatives.

Rino RagnoView profile

Professor

• Drug Design
• Computational Chemistry
• Medicinal Chemistry
• +3 more

Dr. Rino Ragno is a Full Professor at the Department of Chemistry and Pharmaceutical Technology , Sapienza University of Rome. His academic career spans decades of innovation in drug design , computational chemistry , and machine learning applications for chemical-biological systems. He teaches courses like Pharmaceutical and Toxicological Chemistry I and Computational Medicinal Chemistry , accessible via elearning.uniroma1.it. Research focuses on small molecule design , natural product analysis , and predictive modeling Developed the 3D-QSAR PORTAL for molecular modeling and drug discovery Active in essential oil characterization for antimicrobial, anticancer, and anti-inflammatory applications Recent publications emphasize machine learning classification models for essential oil activity prediction, anti-Bcl-2 cancer therapies , and AI-driven drug discovery . His lab employs multidisciplinary approaches combining experimental data with computational analysis to identify bioactive compounds and optimize drug candidates. The 3D-QSAR PORTAL, a free non-profit web platform, enables conformational analysis , molecular docking , and 3D-QSAR modeling accessible across electronic devices. Current projects include essential oil-based biocides for cultural heritage conservation and nanoemulsion formulations for drug delivery systems.

• Computer Science
• Signal and Image Processing
• Remote Sensing
• +5 more

Christian Germain is a Professor of Computer Science at Bordeaux Sciences Agro, an engineering school specializing in agronomy. He focuses on information technologies and their applications to agriculture and environmental science, conducting research in image analysis at the IMS laboratory. His work spans remote sensing, embedded agricultural imaging, and digital tool development for vineyards. Key Roles: Co-holder of the AgroTIC business chair (29 corporate sponsors), Scientific Director of DigiLab (open platform for wine-growing experiments). Research Themes: Remote sensing, agricultural imaging systems, covariance pooling in machine learning, and texture analysis for material science. His recent publications highlight collaborations with industry and academic partners, emphasizing applications in vineyard health monitoring, carbon composite modeling, and vine disease detection. Germain’s team utilizes CNNs, Gaussian mixture models, and SAR imaging techniques to advance agricultural and materials engineering. He has contributed to international conferences and journals, integrating computational methods with real-world agricultural challenges, including proximal sensing for crop management and 3D microstructure simulation.

• Immersive Visualization
• Human-Computer Interaction
• Interface Design
• +8 more

Volker Kuchelmeister is a Research Fellow at the University of New South Wales (UNSW), working as lead immersive designer at the UNSW felt Experience and Empathy Lab (feel). He has established and directed leading media-art research labs including the ZKM Centre for Art and Media Karlsruhe Germany - Multimedia Studio; UNSW iCinema Centre Media Lab and the UNSW National Institute for Experimental Art - Immersive Media Lab. Kuchelmeister is an expert in presence, embodiment and place representation for immersive applications. His research spans immersive visualization, human-computer interaction, interface design, new media in the performing arts, cinematography, interactive narrative, experimental imaging, and spatial mapping. He explores how immersive technologies can transform understanding of memory, dementia, urban environments, and cultural heritage through projects like EmbodiMap VR, InSight AR, and waumananyi: the song on the wind. His recent work focuses on using immersive technologies for health applications, particularly dementia care and mental health. Projects like The Visit VR demonstrate his commitment to using immersive experiences to foster empathy and understanding of complex health conditions while exploring new forms of documentary and therapeutic applications. Dr. Kuchelmeister has received numerous awards for his work, including: Originality and Impact Award at the 25th ACM Symposium on Virtual Reality Software and Technology (2019) Dean's Award for Excellence in Research from UNSW Art & Design (2019) Gold IDEA Award for International Design Excellence (2009) Silver Medal at the Interactive Media Design Review (2001) Kuchelmeister has collaborated as Chief Investigator on multiple Australian Research Council, Australian Council for the Arts and University grants totaling over AUD 1.5 million. He has been a Senior Research Associate on groundbreaking immersive visualization projects and is a Co-Inventor of key iCinema technologies including AVIE (Advanced Visualization and Interaction Environment), iDome, and Spherecam 360º video capture system. These platforms have been deployed across twelve sites globally and generated $6.5 million in commercial sales. His immersive experiences, interactive installations and experimental video projects are exhibited internationally in prestigious venues including Centre Pompidou Paris, The Institute of Contemporary Art Boston, ZKM Center for Art and Media Karlsruhe, Powerhouse Museum Sydney, and Museum Victoria. He has collaborated with renowned artists including Robert Lepage, Saburo Teshigawara, Liz Lecompte and The Wooster Group, and William Forsythe.

• Computer-Aided Design
• Additive Manufacturing
• Machine Learning
• +5 more

Dr. Murat AYDIN is a full-time Assistant Professor (Dr. Lecturer) at Karabük University, Faculty of Technology, Department of Industrial Design Engineering, where he has also served as Vice-Dean since 2022 and Head of Department since 2021. His entire academic career since 2008 has been spent at Karabük University and briefly at Düzce University. Education PhD in Mechanical Education, Karabük University, 2019 MSc in Mechanical Education, Karabük University, 2009 BSc in Design & Construction Teaching, Bülent Ecevit University, 2006 Associate Degree in Technical Programs, Selçuk University, 2003 Research Interests His work centres on the intersection of digital design and manufacturing, spanning computer-aided design & manufacturing , additive manufacturing , machine learning , image processing , and finite-element analysis . Within these themes he investigates process optimisation, mechanical characterisation of printed parts, formability of sheet metals, and advanced sensing techniques such as digital image correlation. Across 41 publications and 33 conference presentations from 2008 to 2024, a clear evolution is visible: early studies on hydraulic sheet-metal forming have gradually expanded to embrace 3D printing, composite filaments, and machine-learning-driven design optimisation, positioning him at the forefront of Industry 4.0-oriented research. Scientific Recognition & Service Associate Editor, International Journal of 3D Printing Technologies and Digital Industry (2022–present) Editorial board member and frequent organiser of national & international congresses on 3D printing and industrial design Peer reviewer for Journal of Cleaner Production and other leading journals Advising & Funding He currently supervises four master’s students on topics ranging from medical-device prototyping to the use of 3D printing in composite aerated-concrete production. His research has been funded by five competitive grants, including two TÜBİTAK-supported national projects (total ≈ ₺1.8 M) and an EU-UNESCO project on 3D printer design curricula. Laboratory & Team He leads the Additive Manufacturing & Digital Design Laboratory at Karabük University, a facility equipped with multi-material FDM printers, high-resolution DIC systems, and tensile-testing rigs, hosting a multidisciplinary team of graduate researchers and industry collaborators.

• Optimization
• Operations Research
• Renewable Energy Systems
• +3 more

António Ismael Freitas Vaz serves as Associate Professor with Habilitation at the School of Engineering, University of Minho, and holds a Senior Researcher position at the ALGORITMI Research Centre. As a core member of the SEOR (Systems Engineering and Operations Research) R&D Group, he directs research in mathematical optimization methodologies with applications spanning energy systems, additive manufacturing, and biomedical engineering. His institutional profile includes verified metrics: h-index 17, 1,505 citations, and 41 publications including 34 in Q1/Q2 journals. His research program centers on developing advanced optimization frameworks including multi-objective, derivative-free, and semi-infinite programming techniques. Key application domains feature renewable energy integration (demand-response co-optimization, cost-effectiveness analysis), 5-axis 3D printing (curved layer path planning, build orientation optimization), and medical diagnostics (automated tumor detection in wireless capsule endoscopy). Methodological innovations focus on particle swarm optimization, DC programming, and gradient descent complexity for complex constrained problems. Analysis of his 15 most recent publications (2018-2022) reveals three dominant research thrusts: energy systems optimization (33% of output), additive manufacturing (33%), and medical imaging (13%), with foundational optimization theory comprising the remainder. This distribution demonstrates strategic application of core methodologies to high-impact engineering challenges, particularly in sustainable energy transition and advanced manufacturing. The consistent publication in top-tier venues like Renewable and Sustainable Energy Reviews and Applied Energy underscores disciplinary influence. Scientific Awards: No specific awards, fellowships, or medals were documented in the provided profile information. Regarding academic advising, the source material contains no listings of PhD or Master's students supervised. The funding section explicitly indicates zero recorded projects ("Fundings (0)"), suggesting either institutional management of grants outside individual reporting or incomplete profile documentation. His h-index and publication volume imply significant research leadership despite absent grant details. As an integral contributor to the SEOR R&D Group at ALGORITMI, Vaz participates in a cross-disciplinary research ecosystem focused on operational research applications. The group maintains industry partnerships in energy, manufacturing, and healthcare sectors, facilitating translation of optimization algorithms into practical solutions for industrial partners and public administration through the Centre's thematic lines.

Alaattin KaçalView profile

Professor

• CAD/CAM
• Computer-aided design and manufacturing
• Machining
• +6 more

Professor Alaattin Kaçal is a distinguished academic at Kütahya Dumlupınar University's Simav Faculty of Technology, where he serves as Professor of Mechanical Engineering. With a career spanning over two decades, he has progressed through the academic ranks from Research Assistant to his current position as Professor, while also taking on significant administrative responsibilities including Director of Simav Vocational School and Head of Department. Professor Kaçal's educational background includes a Bachelor's degree in Mechanic Education (1994-1998), Master's degree in Mechanical Education (1999-2002), and PhD in Machine Training (2003-2008), all completed at Turkish institutions. His academic journey has been primarily centered at Dumlupınar University, with a notable period at Gazi University during his doctoral studies. His research focuses on CAD/CAM, machining processes, cutting mechanics, and the machinability of engineering materials, with recent emphasis on additive manufacturing technologies. Professor Kaçal has led multiple significant research projects investigating drilling and milling of advanced materials, particularly titanium alloys produced through additive manufacturing methods. With 44 publications to his name, his recent work demonstrates consistent scholarly output in areas related to surface roughness analysis, tool wear mechanisms, and sustainable machining techniques using Minimum Quantity Lubrication. His research employs experimental methodologies combined with statistical analysis, frequently utilizing Taguchi method and increasingly incorporating artificial intelligence techniques for modeling and prediction. As an educator, Professor Kaçal teaches core mechanical engineering courses including Computer-Aided Manufacturing, Manufacturing Technologies, and Machinability of Engineering Materials, while supervising graduate thesis work. His administrative roles reflect his leadership within the institution, contributing to both academic and operational aspects of the faculty.

Nureddin GülaçtıView profile

Professor

• Ceramics
• Glass Art
• Tile Art
• +3 more

Nureddin Gülaçtı serves as Professor and Head of the Ceramics and Glass Department at Dumlupınar University's Faculty of Fine Arts, a position he has held continuously since 2011 with promotion to full Professor in 2023. His academic journey began at Anadolu University where he earned his Bachelor's (1990-1994), Master's (1995-1998), and Proficiency in Arts (1998-2011) degrees in Ceramic disciplines. Educational background: Bachelor's in Ceramic Department, Anadolu University (1990-1994) Master's in Ceramic Main Branch with Thesis, Anadolu University (1995-1998) Proficiency in Arts, Ceramic Main Branch, Anadolu University (1998-2011) Research interests center on ceramic and glass arts with dual emphases: historical analysis of Kutahya's ceramic traditions and contemporary applications including surrealism in ceramic design, architectural integration, and cross-disciplinary motif adaptation. His work examines technical aspects like glaze systems and firing temperatures alongside cultural dimensions such as religious symbolism in ceramics and the evolution of ceramic art from Hittite to Republican eras. Recent publications demonstrate consistent output bridging academic research and artistic practice. Scientific recognition: Presidency of the Board of Higher Education Achievement Award (2022) Special Jury Award at 3rd International Kütahya Tile Symposium (2010) Nadya Kaya Special Award (1998) and multiple student competition honors Izmir Painting and Sculpture Museum Special Award (1996) Ministry of Interior Special Jury Award (1994) Academic leadership includes Erasmus Coordination since 2022 and continuous departmental headship since 2011. His research projects like the 'Protocol Entrance Staircase Pediment Wall Panel Application' (2015) and 'Evaluation of Frit-Based Crystal Glaze Systems' (2014-2015) demonstrate applied scholarship with institutional support. Graduate supervision occurs through courses including 'Scientific Research and Ethics' and 'Ceramic Design in Environmental Design', though specific student counts aren't documented. While no dedicated laboratory is specified, Prof. Gülaçtı directs departmental artistic production through courses like 'Artistic Ceramics Workshop' and project-based initiatives. His administrative roles provide structural support for ceramic arts education, with the department serving as the primary hub for creative and technical development in ceramics and glass.

Fang S. LaiView profile

Professor

• Plastics Processing
• Process Control
• Instrumentation
• +5 more

Professor Fang S. Lai is a distinguished faculty member in the Department of Plastics Engineering at the University of Massachusetts Lowell's Francis College of Engineering. With expertise spanning plastics processing, process control instrumentation, and computer-aided engineering, he maintains an active research program focused on medical device innovation and manufacturing optimization. His research interests center on plastics processing with specialized focus on process control and instrumentation , powder technology , industrial hazard assessment , and statistical quality/process control methods . Recent work emphasizes medical applications, particularly computer-aided design of ocular inserts for glaucoma management. His publication record demonstrates consistent contributions to injection molding innovations, thermoforming simulation, and recycled material processing. Professor Lai's research shows clear evolution from fundamental polymer processing studies toward applied medical device development. His 15 most recent publications reveal strong emphasis on simulation validation (60%), medical applications (20%), and recycling technologies (20%), with consistent application of statistical methods throughout his career. The work demonstrates increasing industry collaboration, particularly with medical device manufacturers. As Principal Investigator, Professor Lai has secured significant research funding including: NIH-NATL EYE INSTITUTE contract (2010) for ocular insert production systems Vista Scientific LLC grant (2009) for glaucoma device development NIH-NATL EYE INSTITUTE funding (2009) through ARRAS Flow Through Funds His advisory role focuses on graduate research in plastics engineering, with particular emphasis on students pursuing medical device manufacturing and process control specializations. Professor Lai maintains active industry consulting relationships that inform both his research and teaching. Professor Lai conducts research through the university's Combustion Lab facility, where his team develops advanced simulation protocols and experimental validation methods for plastics processing. The lab serves as a bridge between theoretical modeling and industrial application, with current projects focused on precision manufacturing for ophthalmic devices.