Point Configurations Professors and Supervisors

Sandhya MoiseView profile

Lecturer

University of BathUnited Kingdom

Dr. Sandhya Moise is a Lecturer in the Department of Chemical Engineering at the University of Bath, with a focus on bioengineering and biomedical technologies. She contributes to the Centre for Bioengineering & Biomedical Technologies (CBio) and maintains an active research program in cell therapy manufacturing systems. PhD , Biomedical Engineering, Keele University (2016) Her research interests center on: Economically efficient bioreactor systems for cell culture Production of red blood cells from immortalized cell lines (BELA cells) Extracellular vesicle manufacturing for regenerative medicine Biomaterials development for tissue engineering applications Lab-on-chip diagnostic tools for gynaecological cancers Green manufacturing approaches in biomedical engineering Recent publications demonstrate expertise in: Hydrogel scaffold development (2025) Fibrous scaffold electrospinning (2025) Fluidised bed bioreactor design (2023, 2025) Immunosuppressive cell therapy systems (2022) Nanoparticle-based diagnostic sensors (2022) Current projects include: EPSRC IAA bioreactor development for therapeutic cells (2024-2025) Cancer Research UK diagnostic module projects (2021-2022) BioMed 4.0 manufacturing in hospital systems (2021-2025) She actively supervises doctoral students and collaborates across disciplines in biomedical engineering, contributing to UN Sustainable Development Goals through advanced manufacturing research.

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Karl-Villem VõsaView profile

Researcher

Tallinn University of TechnologyEstonia

Karl-Villem Võsa is an Expert (0.75 FTE) at Tallinn University of Technology's School of Engineering, Department of Civil Engineering and Architecture. He previously served as a Junior Research Fellow (2018-2023) and has been with the institution since 2018 in various research capacities. Dr. Võsa is a certified HVAC Engineer with level 7 qualification and has been a member of the Estonian Society of Heating and Ventilation Engineers since 2014. His research focuses on building indoor climate, energy efficiency, and HVAC systems with particular emphasis on ventilation effectiveness for infection control, heat emission efficiency of heating systems, and thermal comfort parameters. Dr. Võsa teaches Energy Simulation of Buildings (EEA5042) and has been involved in numerous research projects including the Energy Efficiency Excellence Center (2024-2030) and Post-COVID ventilation project (2024-2028). Analysis of his recent publications (2022-2024) reveals a significant focus on ventilation effectiveness for infection risk control in classrooms, cruise ships, and offices, reflecting the post-pandemic research priorities in building science. His work combines experimental measurements with CFD simulations to assess air distribution effectiveness and infection transmission risks. His scientific recognition includes: 2022 State Real Estate Ltd. PhD scholarship 2014 Estonian Society of Heating and Ventilation Engineers Society scholarship Dr. Võsa has secured funding from multiple sources including the Estonian Research Council, European Commission, and Academy of Finland for projects totaling millions of euros in research funding. His work bridges theoretical building physics with practical applications for improving indoor environmental quality and energy performance.

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Shunichi OhmoriView profile

Professor

Waseda UniversityJapan

Shunichi Ohmori , a Professor at the Faculty of Science and Engineering , Waseda University , holds a Doctorate in Engineering from the same institution. His academic journey includes continuous affiliation with Waseda University since 2011, currently serving as a faculty member and concurrently as Director of Research Institute at the Institute of Global Production & Logistics (2022-2026). Education: Doctorate (2009-2012), Master's (2007-2009), and Bachelor's (2004-2007) from Waseda University His research focuses on industrial engineering and operations research , with specific interests in optimization , facility planning , logistics , and supply chain management . He has developed innovative frameworks for: Robust supply chain design under disruption risks Multi-echelon inventory optimization 3D facility layout planning with pipeline arrangements Collaborative vehicle routing cost allocation Green product portfolio strategies under uncertainty His publication record demonstrates expertise in stochastic optimization (15+ peer-reviewed papers) and heuristic algorithms (14+ conference proceedings). He has received multiple Best Paper Awards (2012-2016) and contributed to curriculum development through courses like Advanced Facilities Planning , Supply Chain Transformation , and Logistics at both undergraduate and graduate levels.

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Robin RajamäkiView profile

Visiting Professor

Aalto UniversityFinland

Robin Rajamäki is a Visiting Professor in the Department of Information and Communications Engineering at Aalto University, Finland. He is affiliated with the Visa Koivunen Group and holds an ORCID ID (0000-0002-5028-6022). His academic credentials include a Doctor of Technology (Tekn. toht.) in Electrical Engineering (2021), a Master's in Engineering and Technology (2016), and a Bachelor's in Telecommunications Engineering (2014), all from Aalto University. Research interests focus on Sparse Arrays , Beamforming , ISAC (Integrated Sensing and Communications) , and Array Configuration models. His work explores optimal array geometries, waveform design, and identifiability guarantees in active sensing systems, with applications to MIMO radar, millimeter-wave communications, and future 6G networks. Key methodologies include statistical signal processing, machine learning, and computational optimization. Recent publications highlight advancements in generative deep synthesis , array geometry optimization , and sensor array applications in ISAC. His research spans 2015–2025, including 5 projects (e.g., FUN-ISAC, INSTINCT) and collaborations with institutions like the University of California, San Diego (2019–2020), Technion (2017–2018), and University of Pennsylvania (2016). Scientific Awards: Best Student Paper Award (3rd place, 2019) Projects include fundamental limits in ISAC, joint sensing-communications systems for immersive connectivity, and sparse antenna array processing for 6G and millimeter-wave applications. His work has been cited in Scopus and supported by the Academy of Finland and EU Horizon grants.

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Coen De RooverView profile

Professor

Max Planck Institute for Security and PrivacyGermany

Coen De Roover is a Professor at the Vrije Universiteit Brussel (VUB) since October 2015, affiliated with the Software Languages Lab (SOFT) where he leads the Code Analysis and ManiPulation (CAMP) subgroup. He serves as programme director for the bachelor's program in Computer Science since the 2019-2020 academic year. His research focuses on the design of program analyses and their application to software quality problems , with particular expertise in static and dynamic analysis techniques. Key research areas include: Soft verification of contracts and incremental abstract interpretation Fine-grained change analysis of individual commits Mining for change patterns across multiple commits Vulnerability detection in infrastructure code (particularly Ansible) Concolic testing and resilience analysis Recent publication trends show increasing focus on infrastructure as code security, WebAssembly analysis, and modular abstract interpretation frameworks. His work bridges theoretical program analysis with practical software engineering applications, often validated through empirical studies on open-source projects. As an active contributor to the software engineering community, he has served on program committees for major conferences including ASE, ECOOP, ICSE, and SPLASH. His leadership roles include steering committee positions for GPCE and SANER, and program co-chair roles for International Conference on Program Comprehension. De Roover directs the CAMP research subgroup which has published over 120 peer-reviewed articles. The group develops practical analysis tools while advancing theoretical foundations of program analysis, with recent work focusing on infrastructure code security and WebAssembly analysis.

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Radu DragomirView profile

Researcher

National Institute of Materials PhysicsRomania

Radu Dragomir is a Scientific Researcher at the National Institute of Materials Physics (NIMP) in Magurele, Romania, affiliated with the Laboratory of Theoretical Physics and Computational Modeling. His work bridges theoretical physics and computational modeling, focusing on quantum phenomena in nanoscale systems. His educational background includes: PhD in Theoretical Physics (2012–2016) from the University of Bucharest's Faculty of Physics, with a summa cum laude thesis on "Transport phenomena and exciton dynamics in optically active quantum dots" under Prof. Dr. Virgil Baran and Dr. Valeriu Moldoveanu. MSc in Computer Tomography (2009–2011) focusing on reconstruction algorithms. Undergraduate training at National Informatics College "Tudor Vianu" in mathematics and informatics. Dragomir's research centers on quantum transport , spin dynamics , and nanoelectromechanical systems , employing advanced methods like k.p theory and configuration interaction . His work reveals critical insights into spin-vibron coupling in single-molecule magnets, exciton dynamics in quantum dots, and quantum turnstile operations in NEMS. Key contributions include identifying Rabi oscillations as fingerprints of spin-vibron coupling and demonstrating how vibron-assisted transitions enable molecular spins to climb anisotropy barriers. Analysis of his 2014–2023 publications shows a consistent trajectory in quantum nanoscale physics, with increasing emphasis on hybrid quantum systems where mechanical, electronic, and spin degrees of freedom interact. His research has significant implications for quantum computing components and nanoscale sensor design. Scientific awards include: 2004: First mention (6th place) at National Physics Olympiad 2004: Qualification for IPHO training group 2004: 1st prize at National Physics Contest "Phi" 2004: 1st prize at Schwartz Physical Memorial Contest 2005: Mention (10th place) at National Physics Olympiad 2005: Qualification (5th place) for IPHO training group 2005: 2nd prize at Advertising Physics Contest No student advisement or grant information is documented in the provided materials. His current work within NIMP's Laboratory of Theoretical Physics and Computational Modeling involves collaborative projects on quantum transport simulations and spin dynamics modeling, often utilizing generalized master equation approaches for open quantum systems.

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Johan ComparatView profile

Researcher

Max Planck Institute for Extraterrestrial PhysicsGermany

Johan Comparat is a Researcher at the Max Planck Institute for Extraterrestrial Physics (MPE) in Garching, Germany. His academic background includes a PhD from Marseille focused on baryonic acoustic oscillations with emission line galaxies, followed by research on simulated Universes in Madrid, Spain. He currently studies the Universe's large-scale structure in the X-ray domain at MPE. Research Focus: Comparat specializes in multi-wavelength cosmology, with emphasis on: Observational cosmology and galaxy formation/evolution X-ray astrophysics (eROSITA/eBOSS surveys) Cross-correlations between X-ray sources and galaxies Cosmological simulations and mock catalog development Publication Trends: Recent work (2022-2025) centers on eROSITA all-sky survey data analysis, featuring cluster abundance studies, gravity model tests, and X-ray/galaxy cross-correlations. Earlier contributions include SDSS-IV emission-line galaxy cosmology and luminosity function measurements. PhD Advisees: S. Shreeram (2023–present) Y. Zhang (2021–present) R. Seppi (2019–2023) J. Ider Chitham (2017–2021) F. Albareti (2015–2018) S. Rodriguez-Torres (2014–2017) G. Favole (2012–2016) Collaborations: Leads efforts in eROSITA cosmology working groups, develops simulation pipelines (e.g., Skies and Universes ), and contributes to SDSS-IV/eBOSS surveys. Maintains public repositories for spectral templates and data products.

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Beomjoon KimView profile

Associate Professor

University of MadeiraPortugal

Beomjoon Kim is an Associate Professor at the Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST). He directs the Humanoid Generalization (HuGe) lab, which focuses on creating general-purpose humanoids capable of efficient decision-making in complex environments. Education: Ph.D. in Computer Science from MIT CSAIL M.Sc. in Computer Science from McGill University B.Math in Computer Science and Statistics from University of Waterloo Professor Kim's research spans multiple areas of robotics and artificial intelligence, with a particular focus on humanoid robotics, task and motion planning, and robot learning. His work aims to bridge the gap between high-level task planning and low-level motion control, enabling robots to operate effectively in complex, real-world environments. He has made significant contributions to the field of geometric task and motion planning, developing novel algorithms that improve the efficiency and effectiveness of robot decision-making processes. Analysis of Professor Kim's recent publications reveals a strong focus on humanoid robotics, with particular emphasis on motion planning, object manipulation, and learning-based approaches. His work increasingly integrates deep learning techniques with traditional robotics algorithms, demonstrating a trend toward more data-driven approaches in robotics research. Many of his papers address the challenge of generalization in robotics, seeking to develop systems that can handle novel objects and environments without extensive retraining. Scientific Awards: Best Cognitive Robotics Paper award at ICRA 2017 Oral presentation (top 6% of accepted papers) at AAAI 2020 Oral presentation (top 6% of accepted papers) at AAAI 2019 Oral presentation (top 6% of accepted papers) at AAAI 2018 Spotlight presentation (top 3.5% of accepted papers) at NeurIPS 2018 Spotlight presentation (top 4% of accepted papers) at NeurIPS 2013 Plenary talk (top 12% of accepted papers) at CoRL 2020 Professor Kim actively mentors students at various levels, currently advising multiple Ph.D. and Master's students in the HuGe lab. His research is supported by grants that enable his team to pursue ambitious projects in humanoid robotics and AI. Through collaborations with institutions like MIT and industry partners, his work has significant impact on both academic research and practical applications of robotics technology. The HuGe lab, under Professor Kim's direction, has established itself as a leading research group in humanoid robotics. The lab maintains strong connections with other research institutions and regularly publishes in top-tier robotics and AI conferences. Current research directions include developing more efficient motion planning algorithms, improving robot manipulation capabilities, and exploring the integration of large language models with robotic systems.

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