Sinchan Biswas is a Research Fellow at the Department of Engineering Cybernetics, Norwegian University of Science and Technology. His research focuses on data-driven modeling in industrial processes, particularly electrode resistance dynamics in submerged arc furnaces. He has published work in IEEE journals. Contact: emma.cuthbert@ntnu.no . Research interests emphasize advanced modeling techniques for energy-intensive industrial systems. His 2024 publications address critical challenges in metallurgical furnace optimization through data analytics. No scientific awards or grants explicitly mentioned. No advisees listed.
Fei He is a Visiting Research Scientist in the Department of Comparative Medicine at Yale School of Medicine. Their work bridges biomedical and computational domains, with affiliations spanning interdisciplinary research initiatives. Research interests include comparative medicine methodologies, materials science modeling, and healthcare informatics applications. Current studies focus on medical dialogue systems and metallurgical simulations for advanced alloy behaviors. No scientific awards or grants are listed in available records. Advising activities and lab affiliations remain unreported in the provided information.
Dr. Shuronjit Kumar Sarker is a Postdoctoral Research Assistant in the School of Engineering at RMIT University, Australia. His research focuses on sustainable recovery of critical minerals, hydrometallurgical processes, and environmental engineering solutions. Key projects include neodymium recovery from permanent magnets, biological flue-gas desulfurization, and valorization of mine tailings. His work spans interdisciplinary areas such as rare earth element extraction, nano/microplastic removal from wastewater, and geospatial analysis of tailing storage facilities. He has contributed to over 10 peer-reviewed articles, emphasizing sustainable resource recovery and environmental technologies. Supervision projects include hydrometallurgical routes for rare earth recovery and eco-friendly flue-gas treatment. His research addresses global challenges in resource efficiency and environmental protection through innovative metallurgical and chemical engineering approaches.
Frank Adjogble is a distinguished academic and industry professional specializing in technology and innovation management. He serves as a faculty member at the University of Hagen and lecturer at TÜV Akademie Rheinland GmbH, teaching IT security, technology intelligence, and software engineering. His academic credentials include a Ph.D. in Technology and Innovation Management from the University of Hagen (collaboration with Fraunhofer Institute), an M.Sc. in Computer Science from the University of Siegen, and specialized certifications in technology management. Professionally, Adjogble has held senior roles in the steel and aluminum industries, including General Manager of Digital Technologies at SMS-Digital and leadership positions at SMS-SIEMAG. His expertise spans automation systems, manufacturing processes, and global project management in rolling mills. He actively bridges academia and industry, supervising master’s students and mentoring research teams. His research focuses on AI-driven manufacturing, Industrial IoT, and technology intelligence using advanced analytics (e.g., neural networks, data envelopment analysis). Notable awards include the James Farrington Award and Hunt-Kelly Award. He contributes to innovation through cross-disciplinary collaboration and has authored over 20 publications since 2014, emphasizing AI applications in metals industries and digital transformation strategies.
John E. Barnes serves as Adjunct Professor in Additive Manufacturing at the Royal Melbourne Institute of Technology (RMIT), Adjunct Professor in Materials Engineering at Carnegie Mellon University, and Adjunct Senior Research Fellow at Monash University. His career uniquely integrates industrial aerospace engineering with academic research, specializing in transitioning laboratory innovations to production environments for defense platforms. His educational background includes: MS in Metallurgical Engineering, Purdue University (1994) BS in Materials Science & Engineering, Purdue University (1992) Dr. Barnes' research focuses on Additive Manufacturing and Materials Engineering, with deep expertise in Titanium Processing for aerospace applications. He has implemented critical technologies on the F-22 Raptor and F-35 Lightning II programs, addressing challenges in low Technology Readiness Level (TRL) development and certification pathways. His work emphasizes process optimization for metal additive manufacturing and metallurgical innovation in high-performance alloys. He pioneered major initiatives including the CSIRO Titanium Challenge to advance Australian manufacturing capabilities, the Lab22 Centre for Additive Innovation as a state-of-the-art research facility, and the Australian Additive Manufacturing Initiative to accelerate industry adoption. His leadership consistently transforms underperforming teams and expands international partnerships through strategic navigation of technical, business, and political landscapes. Dr. Barnes excels at building cross-sector consortiums between industry, government, and academia, ensuring seamless coordination between researchers, executives, and officials for complex technology development projects.
Professor Geoffrey Brooks is a Professor in the School of Engineering at Swinburne University of Technology, where he has held roles including Associate Dean of Research, Head of Mathematics, and Pro-Vice Chancellor (Future Manufacturing). He previously worked at the University of Wollongong, McMaster University, and CSIRO. His research focuses on sustainable mineral processing, steelmaking, aluminum production, materials engineering, and lunar resource utilisation. He has published over 250 papers and won major awards from TMS, AIST, ASM, and IOM3. He is a Fellow of the Institute of Materials, Minerals and Mining (UK). Education: PhD (1994) Research Interests: Sustainable mineral processing, hydrogen-based metallurgy, extraterrestrial materials processing, dark matter detection via axion research, and decarbonisation of steel production. He leads the ARC Steel Innovation Hub and coordinates research in lunar metal casting and vacuum thermal sublimation. His recent grants include projects on hydrogen direct reduction of iron, BOF heat monitoring systems, and sound analysis in steelmaking. Over 59 HDR students have been supervised under his guidance since 2020, focusing on topics like lunar regolith processing, hydrogen DRI production, and critical metal recovery. Awards: Distinguished Lecture Award (TMS), Marcus Grossman Award (ASM), METSOC Best Paper Award Professor Brooks collaborates with physicists on dark matter detection and leads industry partnerships through HILT CRC and CSIRO. His work spans terrestrial and extraterrestrial resource processing, emphasizing sustainability and innovation in heavy industries.
Romina CONTE is a Researcher (Law 240/10) at the Department of Mechanical, Energy and Management Engineering, University of Calabria. Her research focuses on manufacturing technologies, materials science, and biomedical engineering, with a strong emphasis on sustainability and process optimization. She is part of the 'Tecnologie e Sistemi di Lavorazione' research group, which explores advanced manufacturing processes, material characterization, and sustainable production systems. Research Interests: Development of biomedical materials (e.g., magnesium alloys, titanium prostheses) LCA analysis for sustainable product development Predictive maintenance in manufacturing (e.g., vibro-acoustic systems for milling cutters) Additive manufacturing and hybrid joint design Publications: Recent work includes studies on bioactive coatings for biomedical applications, numerical modeling of corrosion in hybrid joints, and optimization of submerged arc welding processes. Her research bridges material innovation with environmental impact assessments. Awards: No awards explicitly mentioned. Advising & Grants: No student advisees listed. Collaborates on projects within the research group, focusing on industrial and biomedical applications. Labs & Teams: Member of the 'Tecnologie e Sistemi di Lavorazione' group, contributing to five core areas: advanced manufacturing processes, material characterization, numerical modeling, integrated production systems, and sustainable energy practices.
Helga Jordan is an Assistant Professor at the Department of Mineral and Energy Resources Engineering, Instituto Superior Técnico (University of Lisbon). She specializes in sustainable georesources engineering, integrating geospatial data science, mining planning, and mineral processing. Her research focuses on applying advanced computational methods like Bayesian neural networks and generative adversarial networks to geological modeling and resource recovery challenges. She is affiliated with the Center for Natural Resources and Environment (CERENA) and teaches courses such as Geospatial Data Science and Design of Mineral Processing Facilities. Her research interests span the intersection of machine learning and geosciences, including uncertainty quantification in geological models, environmental impact assessment of mining activities, and innovative recycling technologies for metal recovery from waste streams. She has contributed to projects like the Digital Twin Earth initiative for coastal flood modeling and the optimization of mineral processing equipment using statistical design methodologies. Key research areas include: Deep learning applications in geological data analysis Waste-to-resource transformation technologies Environmental sustainability in mineral resource management Her work bridges fundamental research with industrial applications, particularly in improving resource efficiency and reducing environmental footprints in mining and urban contexts.
Dr. Katie Mitchell-Koch is an Associate Professor of Chemistry at Wichita State University, holding tenure since 2019. She holds a B.S. (2003) and Ph.D. (2008) from the University of Kansas, with a M.S. from the University of Michigan (2005). Her research focuses on computational chemistry, particularly biomolecular solvation, enzyme dynamics in non-aqueous environments, fluorine chemical shifts, and applications in drug design and green chemistry. She received the prestigious Higuchi Doctoral Progress Award during her doctoral studies and has been recognized for research excellence at Wichita State. Her work combines theoretical modeling with experimental insights to understand solvent effects on protein structure, enzymatic catalysis mechanisms, and fluorine NMR spectroscopy. Collaborative projects include drug development strategies and sustainable chemical processes leveraging novel solvents like ionic liquids and deep eutectic systems. Key research themes include: (1) hydration layer dynamics and their impact on protein function, (2) fluorine-based chemical shift analysis for structural determination, and (3) biocatalytic reactions in non-traditional solvents. Her recent publications (2021-2025) explore enzyme adaptation to solvents, micellar systems, and hydrogen bond characterization in amino acids. Awards: Higuchi Doctoral Progress Award (2008) Collaborations: Cross-disciplinary teams in medicinal chemistry, materials science, and bioinorganic chemistry Lab Focus: Computational modeling (DFT, MD simulations) and spectroscopic analysis Her teaching and mentoring emphasize computational methods training for graduate students, though specific advisee names are not documented here.
Hüseyin Baştürkcü is an Associate Professor at Istanbul Technical University in the Department of Mineral Processing Engineering. He concurrently serves as Deputy Director of the Research and Application Center at ITU and holds the position of Mineral Processing Manager at Esan Eczacıbaşı Industrial Raw Materials Industry. His academic journey includes a PhD from Istanbul Technical University and research at Technische Universität Clausthal. His research focuses on developing innovative mineral processing techniques for metallic minerals and chemical-biological recovery methods, with expertise in hydrometallurgy and process design. His work advances sustainable resource extraction through novel leaching and recovery methodologies. Dr. Baştürkcü has been recognized with prestigious awards including the YMGV Science-Encouragement Award for his contributions to mining technology development.
Dr. Şükriye Beste Aydın is an Assistant Professor in the Department of Mineral Processing Engineering at Istanbul Technical University. She holds a PhD from Istanbul Technical University and a Bachelor's from Istanbul University, both in Mineral Processing/Mining Engineering. Her roles include Erasmus Coordinator and lecturer. Her research focuses on sustainable mineral processing, including frother optimization, bubble dynamics in flotation systems, and eco-friendly leaching techniques for metal recovery. She explores alternatives to cyanide in gold/silver recycling and kinetic modeling of mineral separation processes. Recent publications emphasize flotation efficiency, copper recovery, and synergic effects of chemical blends. Her work integrates chemical engineering, environmental science, and process optimization to advance mineral resource sustainability. Dr. Aydın serves as Erasmus Coordinator and contributes to academic administration at ITU.
Tülay Türk is a Researcher at Istanbul Technical University's Faculty of Mining, Department of Mineral Processing Engineering. She holds a PhD in Mineral Processing Engineering (2021) from ITU, alongside a Master's (2018) and Bachelor's (2013) in the same field. Her research focuses on chemical-biological recovery techniques, mineral preparation, and industrial applications such as flame retardant materials and potassium extraction from feldspar. She has contributed to advancements in wollastonite enrichment, calcite content optimization, and resource recovery processes. Her work bridges fundamental mineral processing with industrial applications, particularly in metallurgy and material science. Education: PhD in Mineral Processing Engineering, ITU (2013–2021) M.Sc. in Mineral Processing Engineering, ITU (2016–2018) B.Sc. in Mineral Processing Engineering, ITU (2013–2018) Research Interests: Mineral beneficiation, chemical recovery processes, industrial mineral applications, and sustainable resource utilization. Her publications highlight innovations in potassium extraction via roasting, huntite enrichment for paint industry use, and wollastonite-calcite ore processing. Collaborations with institutions like TÜBİTAK and industry partners like Turkish Mining Company Inc. underscore her applied research focus. No awards are explicitly mentioned, but her active research portfolio reflects ongoing contributions to the field.
Rex Gerald is a Research Professor in the Electrical and Computer Engineering department at Missouri University of Science and Technology , specializing in advanced sensor technologies and materials science. His work bridges nuclear magnetic resonance, optical fiber sensors, and microwave resonators for industrial and biomedical applications. Education : PhD in Physical Chemistry (University of Illinois/Chicago) and Molecular Crystal Physics (Max Planck Institute/Heidelberg); BA in Chemistry (University of Chicago) His research spans Nuclear Magnetic Resonance (NMR) hardware development, Optical Fiber Sensors for extreme environments, and innovation in sensor design . Recent publications highlight femtosecond laser fabrication and distributed sensing systems for steelmaking and health monitoring. Scientific Awards : Honored with the CEC Awards in 2023 for contributions to engineering at Missouri S&T. Collaborations with Dr. Jie Huang and others drive advancements in microwave photonics , sapphire fiber sensors , and machine learning-integrated sensing arrays . His work impacts industrial efficiency and wearable diagnostics.
Dr. Bohong Zhang is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. His research focuses on developing advanced optical and microwave sensors for harsh environments, biomedical applications, and intelligent infrastructure systems. He holds a Ph.D. in Electrical Engineering from Missouri S&T. Education: PhD in Electrical Engineering (Missouri S&T) Key Research Areas: Fiber Optic Sensors, Optical Spectroscopy, Ultrafast Laser Processing, Material Characterization His work integrates cutting-edge techniques like femtosecond laser fabrication and machine learning to create robust sensors for industrial processes (steel manufacturing, cement hydration), biomedical diagnostics, and environmental monitoring. Recent projects include real-time mold flux analysis in steel production and pathogen detection using Raman spectroscopy-based systems. Awards: 2022: 2nd Place IEEE St. Louis Student Presentations 2022: 3rd Place Missouri S&T Three Minutes Poster Competition 2021: CEC Dean’s Graduate Educator Award Research Highlights: Pioneering distributed fiber optic sensor networks for industrial monitoring, developing miniaturized wearable biosensors, and advancing SERS-based chemical detection systems. Current projects emphasize sensor durability in extreme conditions and AI-driven data interpretation.
Pavel Krakhmalev is a Professor of Materials Science at Karlstad University's Department of Engineering and Physics in Sweden. He serves as the Ämnesföreträdare (Subject Representative) for Material Technology since 2020 and directs the Digital Adaptive Manufacturing for Industry 4.0 (DAMI) research center (2023–2024). He has held roles including Guest Professor at Friedrich-Alexander-University Erlangen-Nürnberg (2019) and Associate Professor/Senior Lecturer at Karlstad University (2002–2012). His research focuses on microstructure-property relationships in advanced metallic materials, additive manufacturing (e.g., Ti alloys, steels, and HEAs), tribology, and failure analysis. He leads projects totaling over €50M in funding, including initiatives like AMHiPP (advanced materials for high-performance products) and SmartForge (AI-controlled forging). He is a prolific author, ranked in the World’s Top 2% Most Cited Scientists (2022–2024), and serves on editorial boards for journals like Additive Manufacturing Letters and Metals . Key projects include in-situ alloying of Cu in 316L stainless steel, microstructure control in functionally graded materials, and fatigue analysis of additively manufactured alloys. His work spans industries from biomedical implants to aerospace and automotive tooling. He collaborates internationally, with over 200 publications and roles in conferences like LANE and LIM. His research emphasizes translating materials science into industrial applications via advanced manufacturing techniques.
