Find Academic Supervisors

Krishnan SureshView profile

Professor

• Topology Optimization
• Additive Manufacturing
• Computational Mechanics
• +5 more

Prof. Krishnan Suresh is a Professor in Mechanical Engineering at the University of Wisconsin-Madison, affiliated with the College of Engineering. He directs the Engineering Representations and Simulation Laboratory (ERSL) and co-leads the Wisconsin Applied Computing Center. His research focuses on topology optimization, additive manufacturing, computational mechanics, and quantum computing applications. He holds prestigious awards including the Vilas Associate (2023), Mead Witter Professorship (2022), and Woodburn Teaching Award (2018). Education: PhD 1998, Cornell University MS 1995, Cornell University MS 1992, UCLA B.Tech 1990, IIT Madras Research Interests: Dr. Suresh pioneers methods for efficient finite element analysis over tangled meshes, integrates machine learning into topology optimization, and develops quantum computing solutions for engineering problems. His work bridges computational mechanics with advanced manufacturing, emphasizing eco-friendly design and multiscale material systems. Publications: Recent work explores surrogate neural networks for topology optimization, quantum annealing for linear systems, and AI-driven detector design for physics experiments. His methods address challenges in handling inverted elements and improving additive manufacturing support structures. Awards: 2023 Vilas Associate 2022 Mead Witter Professorship 2018 Woodburn Teaching Award 2017 ASME Fellow Advising & Grants: He advises on NSF/DOE-funded projects and collaborates with Sandia National Labs/Autodesk. Courses taught include design optimization, CAD engineering, and graduate research supervision. Labs & Teams: ERSL develops simulation tools for complex systems, integrating high-performance computing and AI for next-gen engineering solutions.

• Educational Technology
• STEM Education
• E-Business Systems
• +5 more

Jan Seruga serves as Deputy Dean of Education and Arts at the Faculty of Education and Arts, University of South Australia. His research focuses on educational technology, e-business systems, network security, and information systems. He has collaborated extensively on frameworks for STEM education, MOOC analysis, and cybersecurity protocols. Key research areas include the integration of computational tools in learning environments, digital infrastructure for developing economies, and the application of cloud computing in ERP systems. His work spans over two decades with notable contributions to phishing detection algorithms and social media's role in political communication. Notable outputs include a 2019 framework for STEM education, 2016 analysis of MOOC platforms, and 2013 studies on network intrusion detection systems. He has participated in international conferences across Europe, Asia, and the Americas, addressing issues from e-auction protocols to B2B effectiveness. Teaching and curriculum development contributions include designing computing minors and reviewing postgraduate information systems programs. His work bridges pedagogical innovation with technological advancement in higher education systems globally.

Kathryn BrownView profile

Academic

• Modern and Contemporary Art
• Art Markets
• Digital Art History
• +3 more

Kathryn Brown is a Reader in Art Histories, Markets and Digital Heritage at Loughborough University's School of Social Sciences and Humanities, and currently serves as School Director of Doctoral Programmes. Her academic journey includes roles at Tilburg University, Tulane University, and the Australian National University, alongside visiting fellowships at institutions like the Center for Advanced Studies in Visual Art. She holds a Rhodes Scholarship and a D.Phil. from the University of Oxford, where she studied under Malcolm Bowie. Her research spans three core areas: modern and contemporary art (focusing on artists like Matisse and Degas), art markets (analyzing epistemic cultures and institutional dynamics), and digital art history (exploring computational methods and interdisciplinary collaborations with computer scientists). Her work has been supported by grants from the British Academy, Terra Foundation, and others. Key publications include Henri Matisse: A Critical Life (2021), Dialogues with Degas (2023), and edited volumes such as Companion to Digital Humanities and Art History (2020). Her recent projects leverage computer vision techniques to analyze artworks, reflecting her innovative approach to digital methodologies in art history. Awarded the British Academy Talent Development Award (2021), she has also been recognized for her editorial contributions, including series editorships with Bloomsbury Academic. Her career transition from corporate law—where she specialized in mergers and acquisitions—to academia uniquely informs her analysis of art market economics and institutional frameworks.

Kichol LeeView profile

Assistant Professor

• Human Factors Engineering
• Auditory Systems
• Military Ergonomics
• +3 more

Kichol Lee is a Research Assistant Professor in the Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. His research focuses on human factors engineering, auditory situation awareness, and military ergonomics, with particular emphasis on hearing protection technologies and product design. He holds a Ph.D. in Industrial & Systems Engineering from Virginia Tech. His work bridges theoretical and applied research, addressing challenges in auditory localization, military communication systems, and the design of user-friendly interfaces for training and safety applications. Notable contributions include the development of the Portable Auditory Situation Awareness Training (PASAT) system and advancements in otoprotectant technologies. Lee’s publications emphasize optimizing auditory training protocols, evaluating hearing protector performance, and integrating gamification principles into user interfaces. His research has practical implications for military personnel safety, industrial product design, and clinical applications of hearing conservation. Despite no explicitly listed scientific awards, his contributions have supported Virginia Tech laboratories recognized for innovation in occupational safety. His advising and grant activities are not detailed in the provided text.

Parmesh RamanathanView profile

Professor

• Wireless Networks
• Wireline Networks
• Mobile Computing
• +9 more

Professor Parmesh Ramanathan is a faculty member in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. His research focuses on wireless and wireline networks, mobile computing, real-time systems, and genomic networks. He collaborates with experts in biochemistry, chemistry, and engineering to develop computational tools for genome-aided biodesign and metabolic pathway optimization. His recent work includes advancements in millimeter-wave communication, privacy-preserving genomic data processing, and fault-tolerant computing. Education: PhD (1989), MS (1986) from University of Michigan; B.Tech (1984) from Indian Institute of Technology. Research interests span network architectures, quality of service (QoS), and interdisciplinary projects in bioengineering. He has received prestigious awards such as the Vilas Distinguished Achievement Professorship (2017) and IEEE Fellow (2023). His publications highlight contributions to millimeter-wave networks, genomic data privacy, and machine learning in metabolic engineering. He teaches courses like Real-Time Computing Systems and supervises master’s and doctoral research.

• Pandemic Preparedness & Response
• Biological and Chemical Security
• Health Policy and Planning
• +6 more

Dr. Joshua R. Moon is a Senior Research Fellow in Health & Research Policy at the Science Policy Research Unit (SPRU) within the University of Sussex Business School. His research bridges biosecurity and the sociology of scientific knowledge, with expertise spanning epidemic/pandemic preparedness, chemical/biological security, and international health policy evaluation. Research Interests: Dr. Moon's work focuses on the intersection of science policy and global challenges. Key areas include: Pandemic preparedness & response systems Biosecurity risks of emerging technologies Transdisciplinary research methodologies Health policy evaluation frameworks Science-policy interfaces in security regimes Publication analysis reveals sustained focus on crisis governance, with recent work examining AI's implications for biosecurity frameworks and comparative studies of pandemic response systems across 6 countries. Earlier scholarship established foundations in research evaluation metrics and global health partnerships. Grants & Funding: Advancing therapeutics projects through UKSPINE’s pipeline (Research England, 2022) Optimising Covid-19 Testing System – OCTS (ESRC, 2021-2022) Covid-19 diagnostic testing research hub (ESRC, 2020) Dr. Moon contributes to undergraduate teaching in bioscience innovation and change management, and leads collaborative projects through SPRU's global health security research cluster.

• Mathematical Modeling
• Optimization Algorithms
• Performance Evaluation
• +5 more

Dr. Özge Büyükdağlı is an Associate Professor in the Computer Science and Engineering program at the International University of Sarajevo. She also serves as Program Coordinator for the Software Engineering (SE) and Artificial Intelligence and Data Engineering (AIDE) programs. Additionally, she is a member of the Sustainable Development Goals committee at IUS and has participated in projects such as Ai4CUAV and an IT Sector On-The-Job Training Program. Dr. Büyükdağlı holds a PhD in Industrial Engineering from Yasar University, Turkiye (2018). Her research focuses on mathematical modeling, optimization algorithms, performance evaluation of production systems, and educational technology. She explores topics like gender balance in STEM education, sustainable development implications in Sub-Saharan Africa, and smart city functional arrangements. Her work bridges theoretical optimization with practical applications in education and industry. Her recent publications (2023-2025) explore gender dynamics in computer science, AI-driven image annotation, and sustainable development methodologies. She actively contributes to curriculum design through decision support systems and simulation-based educational tools. Her interdisciplinary approach integrates operations research with social sciences to address contemporary challenges in education and urban planning. Key Projects: Ai4CUAV, IT Sector Training Program Committee Roles: Sustainable Development Goals (SDG) committee member Teaching Contributions: Coordinates two academic programs; develops innovative curricula Research Themes: Optimization algorithms, gender studies in STEM, and SDG-aligned education

• Engineering Design
• Additive Manufacturing
• Computer-Aided Design (CAD)
• +7 more

Dr. Ian Graham is a Lecturer in Engineering Design at Loughborough University, part of the Wolfson School. He holds a BEng (Product Design) and PhD (Evolutionary Design) from Loughborough University. Prior to academia, he worked in automotive engineering (Toyota), portable electronics (GE), and architecture. He joined Loughborough in 2006 as a Research Associate in the School of Civil and Building Engineering, moved to the Design School in 2007 as Senior Research Associate and Enterprise Fellow, and transitioned to the Wolfson School in 2012. Education: BEng in Product Design, Loughborough University PhD in Evolutionary Design, Loughborough University Research Interests: Graham’s work focuses on Computer-Aided Design (CAD) , Evolutionary Algorithms , Additive Manufacturing , Remanufacturing , and Haptic Technologies . He explores applications in industrial efficiency, cultural heritage restoration, and product design innovation. His research bridges theoretical design optimization with practical industry challenges, including modular construction, artifact preservation, and sustainable manufacturing. Articles Trends: His publications emphasize CAD optimization (e.g., parametric model inefficiency analysis), evolutionary design systems, additive manufacturing for art/archaeology, and modular construction case studies. Recent work highlights cost estimation in remanufacturing and haptic sketching interfaces. Advising & Grants: No specific advisees or grant details are listed in the text, but his roles suggest involvement in research funding and collaborative projects. Labs/Teams: Founder of EvoShape , developing evolutionary design tools. Active in cross-disciplinary teams within Loughborough’s Wolfson School, focusing on CAD innovation and sustainable manufacturing.

• Sustainable Supply Chains
• Transportation Logistics
• Urban Logistics
• +3 more

Sonja U.K. Rohmer is an Assistant Professor at Eindhoven University of Technology (TU/e) and holds a joint position as Assistant Professor at HEC Montréal since July 2021. She is affiliated with the Operations, Planning, Accounting & Control (OPAC) group within the School of Industrial Engineering and Innovation Sciences. Her research focuses on applying Operations Research to address sustainability challenges in supply chains and urban logistics, particularly in food systems and perishable goods distribution. Academic Background: She earned her PhD in Operations Research and Logistics from Wageningen University (2019) and holds degrees from the University of Strathclyde (BSc Management Science/Economics) and Polytech Tours (MRes Computer Aided Decision Support). During her PhD, she conducted research at CIRRELT (Canada), Dalian Maritime University (China), and Chulalongkorn University (Thailand). Research Interests: Her work emphasizes sustainable urban logistics, last-mile delivery innovations, food waste reduction through supply chain optimization, and the integration of new technologies in agriculture. She explores metropolitan solutions for perishable goods logistics and the environmental-economic trade-offs in food distribution systems. Projects: She leads/co-leads initiatives like the CropMix OPAC project (2023–2027) on food logistics and the Cross-KIC Sustainable Cities project (2020). These projects aim to develop scalable solutions for urban food systems and sustainable supply chain networks. Collaborations: Active collaborations span institutions in Canada, China, Thailand, and Europe, focusing on vehicle routing optimization, cooperative logistics frameworks, and perishable inventory management. Advising/Grants: Supervises 10 academic works and secures grants targeting sustainable urban logistics, with a focus on food systems and emission reduction technologies.

• Cognitive Psychology
• Educational Psychology
• Written Production
• +8 more

Tiphaine Colliot is an Associate Professor in Cognitive Psychology at the University of Poitiers, affiliated with the Center for Research on Cognition and Learning (CeRCA) and the School of Human and Social Sciences (MSHS). Her research focuses on educational psychology, particularly in written production, note-taking strategies, graphic organizers, and multimedia learning. Active member of the executive committee of the IPHD MA program at INSPE Niort Collaborates with É. Jamet on studies related to cognitive load and generative learning Her recent work explores the impact of digital tools on learning outcomes, including tablet-based geometry instruction, adaptive feedback mechanisms, and multitasking effects during video lectures. Collaborative research with É. Jamet investigates structured note-taking, self-generated graphic organizers, and the role of real-time feedback in educational technology. Despite significant contributions to cognitive load theory, no explicit scientific awards are documented in the provided materials. Colliot’s teaching responsibilities include academic methodology instruction, and she engages in developing interventions to enhance students’ self-regulation and writing efficacy.

Darin JonesView profile

Associate Professor

• Medicinal Chemistry
• Chemical Biology
• DNA Repair Mechanisms
• +7 more

Darin Jones is an Associate Professor of Pharmaceutical Sciences at the University of Arkansas for Medical Sciences (UAMS) College of Pharmacy. He holds a PhD in Chemistry from the University of Missouri and completed postdoctoral training at the University of California, Riverside. His research focuses on medicinal chemistry and chemical biology, particularly in developing small molecule inhibitors targeting proteins involved in DNA repair processes, anticancer therapies, and radioprotection. He employs structural biology, fragment-based drug design, and computer-aided methods to advance these goals. Key research areas include DNA repair mechanisms, antiviral strategies against SARS-CoV-2, and the development of radioprotective agents like tocotrienol analogues. Dr. Jones has published extensively on topics such as PARG inhibitors, GRB2 signaling, and novel drug delivery systems. His work bridges basic science and translational medicine, with a focus on overcoming chemotherapeutic resistance and improving therapeutic outcomes. Recent publications highlight innovations in high-throughput screening methodologies (e.g., HT-SAXS) and structure-based design of enzyme inhibitors. These studies underscore his laboratory's commitment to advancing drug discovery pipelines for complex diseases like cancer and viral infections.

• Speech Processing
• Auditory Perception
• Aging and Hearing
• +3 more

Daniel Fogerty is an Associate Professor in the Department of Speech and Hearing Science at the University of Illinois. His research focuses on auditory perception, speech processing, and the effects of aging on hearing and cognition. Key areas include speech intelligibility in adverse listening conditions, modulation masking, and sensorimotor control in vocal production. Recent work examines how age-related hearing loss impacts recognition of temporally filtered speech and explores speaker adaptation techniques for bone-conducted speech. He investigates the interplay between cognitive resources and auditory processing in older adults, particularly in noisy environments. Notable contributions include development of the Spectro-Temporal Glimpsing Index and studies on informational masking in same-talker speech scenarios. His research also addresses atypical vocal quality in genetic disorders like FMR1 premutation, linking sensorimotor dysfunctions to speech abnormalities. Dr. Fogerty's lab employs advanced signal analysis, acoustic modeling, and perceptual experiments to bridge theoretical and applied audiology. Collaborations span engineering, linguistics, and neuroscience domains.

Reiko MazukaView profile

Research Professor

• Language Acquisition
• Psycholinguistics
• Infant Speech Perception
• +4 more

Reiko Mazuka is a Research Professor in the Department of Psychology and Neuroscience at Duke University, affiliated with Trinity College of Arts & Sciences. She holds a Ph.D. from Cornell University and an M.S. from the University of Edinburgh. Her research focuses on language acquisition and psycholinguistics, particularly comparing English and Japanese across developmental stages. Key areas include infant speech perception, sentence comprehension strategies, and the influence of language experience on cognitive processes. Her work emphasizes cross-linguistic studies, investigating how infants' perceptual systems adapt to native phonology and how prosody aids language learning. Mazuka’s grants include studies on visual cue attention in language processing (RIKEN Brain Science Institute, 2009–2023), prosody in Korean children’s sentence disambiguation (NSF, 2002–2003), and comparative sentence processing (NIMH, 1994–2001). Publications highlight topics like non-native speech discrimination, cultural diversity in developmental research, and neural mechanisms underlying pitch accent processing. She is associated with the Duke Language Development Lab and collaborates with institutions like the University of Tokyo and Waseda University.

Luca DidaciView profile

Associate Professor

• Statistical Pattern Recognition
• Biometric Recognition and Security
• Semi-Supervised Learning
• +4 more

Luca Didaci is an Associate Professor of Computer Engineering at the University of Cagliari's Department of Electrical and Electronic Engineering (DIEE), within the Faculty of Engineering and Architecture. He leads research in statistical pattern recognition, biometric systems, and EEG signal analysis, focusing on applications in security, healthcare, and machine learning. His work includes developing EEG-based personal identification techniques, semi-supervised learning methods, and advanced tools for histopathological image analysis. With an h-index of 16, his research has been cited over 950 times. He teaches courses on programming, software development, and computer science fundamentals across undergraduate and graduate programs. Didaci is affiliated with the Pattern Recognition and Application Lab at DIEE and contributes to the PhD Program in Electronic and Computer Engineering. His research interests span multiple classifier systems, biometric authentication, and cybersecurity. Recent projects include studying ADaM/SDTM clinical data formats and investigating adversarial machine learning threats to biometric systems. He actively publishes in top-tier journals and conferences, emphasizing interdisciplinary applications of AI in engineering and medicine.

• Synthetic Biology
• Biomedical Engineering
• Systems Biology
• +7 more

Professor Richard Ian Kitney is Professor of Biomedical Systems Engineering in the Department of Bioengineering within Imperial College London's Faculty of Engineering. He serves as Chairman of the Institute of Systems and Synthetic Biology and Co-Director of the EPSRC National Centre for Synthetic Biology and Innovation. His institutional affiliations include the Centre for Synthetic Biology, Centre for Translational Nutrition and Food Research, and the Industrial Biotechnology Hub CsynBI. His academic qualifications include a DSc (Eng) from the University of London and a PhD in Electrical Engineering from Imperial College London. He holds professional designations as Chartered Engineer (CEng), Fellow of the Institution of Electrical Engineers (FIEE), and Chartered Scientist (CSci). Kitney's research focuses on synthetic biology, systems biology, and biomedical engineering, with emphasis on mathematical modeling, medical imaging, and engineering biology principles. He pioneered the integration of automation and standardization in biological design, establishing Imperial College as a global leader in synthetic biology through the development of the Imperial College Hub for Synthetic Biology and SynbiCITE, the UK's national industrial translation center. His work bridges fundamental research with industrial applications in biomanufacturing and sustainable solutions. Analysis of his recent publications reveals a decisive shift toward engineering biology as a systematic discipline, characterized by automation-driven workflows, biofoundry infrastructure development, and applications addressing global challenges including pandemic response and sustainable vaccine production. Key trends include standardization of biological parts, computational design tools, and policy frameworks enabling the advanced bioeconomy. His distinguished honors include: Order of the British Empire (OBE) for services to Information Technology in Biomedicine (2001) Fellowship in the World Technology Network (1999) Academician of the International Academy of BioMedical Engineering (2003) Honorary Fellowships of The Royal College of Physicians and Surgeons (2006) Fellowships of The Royal Academy of Engineering and Royal Society of Edinburgh Kitney has secured transformative funding through leadership of national initiatives including the EPSRC National Centre for Synthetic Biology and Innovation and SynbiCITE. He chaired The Royal Academy of Engineering Inquiry into Synthetic Biology and co-authored the UK Roadmap for Synthetic Biology, establishing critical policy frameworks. His grants portfolio emphasizes industrial translation, biofoundry development, and building the UK's engineering biology capability. He directs the Imperial College Synthetic Biology Hub (CsynBI) and The Foundry DNA synthesis facility, which form the core of Imperial's engineering biology infrastructure. These centers operate as integrated platforms connecting academic research with industrial applications through standardized workflows, automated design-build-test cycles, and collaborative projects with pharmaceutical and biotechnology companies.