Find Academic Supervisors

• Physico-Chemical Phenomena
• Thermal-Fluids
• Interfaces
• +10 more

Professor Kripa K. Varanasi is a faculty member in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, operating within the School of Engineering. Her interdisciplinary research spans physico-chemical phenomena, thermal-fluids, interfacial science, and electrochemical systems, with applications in energy, water, biomedical technologies, and sustainable manufacturing. Alumnus of Indian Institute of Technology Madras (B.Tech, 1998), MIT (M.S. 2002, Ph.D. 2004) Former GE Global Research lead with multiple technology awards Her research program uniquely bridges fundamental surface science with scalable industrial solutions, evidenced by startup ventures like LiquiGlide, Infinite Cooling, and AgZen. Expertise lies in Nanostructured surfaces , electrochemical fluid control , and bio-inspired material design . The group's visible light-responsive TiO 2 surfaces enable transformative approaches to oil-water separation and microfluidic manipulation. Scientific recognition includes: NSF Career Award DARPA Young Faculty Award ASME Bergles-Rohsenow Heat Transfer Award MIT Graduate Advising Excellence Award Multiple startup competition victories Key publications reveal systematic innovations in optically modulated wetting , dye-sensitized interfacial engineering , and industrial fluid dynamics . The group's startups have won prestigious competitions including the MIT-100K and MassChallenge Diamond Winner distinction.

• Bioinformatics and Computational Biology
• Machine Learning
• Data Science
• +3 more

Fardina Alam is a Lecturer in the Department of Computer Science at the University of Maryland, College Park. She holds a Ph.D. from George Mason University (2023), where she specialized in Structural Bioinformatics and Machine Learning. Her academic rank reflects UMD's Professional Track Faculty, equivalent to an Assistant Professor of Teaching. Dr. Alam's research focuses on deep learning applications in protein structure prediction, generative AI, and ethical data practices. She has contributed to projects funded by an NSF FET Grant (#1900061) and published in journals like Biomolecules. Awards include the 2023 Outstanding Dissertation Award and 2022 Editor's Choice Article recognition. Education: Ph.D. (Computer Science, George Mason, 2023); M.S. (Computer Science, George Mason, 2019); B.S. (Computer Science and Engineering, Military Institute of Science and Technology, Bangladesh, 2013). Her teaching emphasizes data science ethics and interdisciplinary applications, including a new course for UMD's Data Science minor. Professional roles include Associate Guest Editor at Bioinformatics Advances (2024), Faculty Advisor to the Bangladeshi Graduate Student Association, and Program Co-Chair for the ACM-BCB Computational Structural Bioinformatics Workshop (2023). Research Interests: Structural Bioinformatics, Generative AI, Responsible AI Ethics, Deep Learning, Machine Learning, and Data Science. Her work bridges computational biology and AI, with a focus on equitable data practices and protein structure analysis. Recent projects address challenges in generating physically-realistic protein structures and improving question-answering systems through equitable data strategies. Awards: Recipient of the 2023 Outstanding Dissertation Award (George Mason University), 2023 Best Paper Award, and 2022 Biomolecules Editor's Choice Article. These accolades highlight contributions to protein structure prediction and bioinformatics methodology. Advising & Grants: NSF FET Grant #1900061 supported her computational biology research. She advises the Nobanno graduate student group and chairs workshops in her field. Her teaching and research aim to promote inclusivity, particularly for underrepresented groups in STEM. Labs/Teams: Active contributor to the Computational Biology Lab at George Mason University and collaborates with UMD's interdisciplinary teams on data ethics and AI applications. Her work aligns with UMD's vision for data-driven education and innovation.

Anne MenefeeView profile

Assistant Professor

• Sustainable Energy Systems
• Carbon Management
• Subsurface Engineering
• +5 more

Anne Menefee is an Assistant Professor in the John and Willie Leone Department of Energy & Mineral Engineering at The Pennsylvania State University. Her research focuses on sustainable energy systems and carbon management, particularly leveraging subsurface engineering for low-carbon energy production and carbon sequestration. She investigates geochemical reactions impacting fracture stability, CO₂-enhanced energy recovery in tight reservoirs, and lifecycle environmental impacts of emerging technologies. Key research themes include subsurface CO₂ mineralization, geothermal energy in Pennsylvania, and hydrogen storage challenges. Her work bridges fundamental geoscience with applied energy systems analysis to decarbonize the energy sector. Notable projects include evaluating geospatial policies for carbon sequestration and techno-economic analyses of wind-powered green hydrogen systems. Dr. Menefee collaborates with interdisciplinary teams and is affiliated with the Institutes of Energy and the Environment (IEE), contributing to climate solutions through workshops and policy-focused research. She has been recognized for her contributions to energy storage and carbon utilization strategies, though no specific awards are listed in the provided materials. Her publications span journals like Proceedings of the National Academy of Sciences and Energy and Fuels , addressing topics from fracture mechanics to policy frameworks for carbon storage viability. Current research emphasizes optimizing subsurface systems for both energy production and environmental sustainability.

• Additive Manufacturing
• Materials Engineering
• Surface Engineering
• +3 more

Denis Dowling is a Full Professor at University College Dublin (UCD), leading the School of Mechanical and Materials Engineering. He directs the I-Form Advanced Manufacturing Research Centre, a 40M Euro initiative focusing on additive manufacturing and digital integration in manufacturing environments. His research spans surface engineering, plasma treatments, and advanced materials processing, with a focus on composites and additive manufacturing innovations. Dr. Dowling holds a PhD from UCD and has supervised 20 PhD and 5 MSc students. He is actively involved in the European Institute of Innovation and Technology (EIT) in manufacturing and previously led UCD's participation in the SFI Precision Cluster. His awards include the UCD Innovation Award (2012) and the Institute of Materials Finishing Gold Medal (2013). His work bridges academia and industry, with collaborations in solar energy, medical devices, and manufacturing SME sustainability. Key research themes include functional coatings for biomedical applications, microwave-assisted synthesis of nanostructures, and in-situ process monitoring for additive manufacturing quality control. Teaching includes modules on nanomaterials and manufacturing, reflecting his research-led approach. Professional roles include chairing the Irish branch of the Institute of Metal Finishing.

• Computational Multiscale Modeling
• Artificial Intelligence
• Process Control
• +5 more

Davood B. Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University (K-State), part of the Carl R. Ice College of Engineering. He is also a graduate faculty member at the Food Science Institute and a faculty researcher at the Johnson Cancer Research Center. His professional experience includes roles at ExxonMobil Research and Engineering, the University of Minnesota, and the University of Delaware. Education: Ph.D. in Chemical Engineering, Pennsylvania State University (2015) M.S. in Chemical Engineering, Sharif University of Technology (2010) B.S. in Chemical Engineering, Sharif University of Technology (2008) Research Interests: Focuses on computational multiscale modeling, artificial intelligence, optimal control, and automation for sustainable energy/chemical production. Key areas include physics-informed machine learning, cyber-physical systems, and smart materials synthesis. His lab integrates process systems engineering with digital twin technology to enhance decision-making in complex systems. Key Research Trends: Recent work emphasizes distributed control architectures, resilient process networks, and applications in renewable energy (e.g., green ammonia, solar cell production). His publications span AI-driven modeling, cybersecurity for manufacturing systems, and data-driven predictive frameworks. Awards: 2024 Carl R. Ice College Outstanding Assistant Professor NSF EPSCoR Fellowship AFOSR Faculty Fellowship Multiple Best Presentation Awards at AIChE/ACC conferences Advising & Grants: Advises over a dozen graduate/undergraduate students. Secured grants including NSF funding for physics-informed machine learning in organ-on-a-chip systems. Active in lab automation and robotic additive manufacturing initiatives. Labs & Teams: Director of the Intelligent Sustainable Process Systems Lab (ISPSL), with computational and experimental facilities in Durland Hall. Collaborates across disciplines including food science, cancer research, and biomedical engineering.

Krist V. GernaeyView profile

Professor

• Industrial fermentation
• Bioprocess modeling
• Process Analytical Technology
• +2 more

Krist V. Gernaey is Professor in Industrial Fermentation Technology at the Technical University of Denmark's Department of Chemical and Biochemical Engineering. His research develops computational tools for bioprocess optimization across pharmaceutical, food, and chemical sectors. Research specializes in mechanistic modeling of fermentation processes, process analytical technology (PAT) implementation, and continuous production system design. Current investigations focus on uncertainty analysis methods, data-driven modeling, and novel bioreactor characterization from micro to production scale. Publications demonstrate applications in vaccine manufacturing, wastewater treatment, chromatography simulation, and sustainable chemical engineering. Recent work advances regulatory frameworks for in silico bioprocess models and AI integration in engineering education. Research collaborations span academic institutions and industry partners across Europe. Professional activities include conference organization and editorial responsibilities for chemical engineering journals.

Duarte AnaniasView profile

Researcher

• Luminescent Materials
• Lanthanide Chemistry
• Nanomaterials
• +4 more

Duarte Ananias is a Researcher at CiCECO (University of Aveiro) since June 2009. He holds a Ph.D. in Chemistry (2004) and an Undergraduate Degree in Chemistry (1999), both from the University of Aveiro. His research focuses on lanthanide-based materials, particularly luminescent properties, porous/nanoscale systems, and applications in sensing and nanotechnology. Education : Ph.D. in Chemistry (2004), University of Aveiro Undergraduate Degree in Chemistry (1999), University of Aveiro Experience : Postdoctoral Fellowships at University of Linköping (Sweden) and University of Aveiro (2005–2008) Research Interests : Ananias explores lanthanide ions' unique optical and magnetic properties, developing luminescent materials for applications in thermometry, sensing, and catalysis. His work integrates porous materials (e.g., MOFs, silicates) with nanotechnology, emphasizing structural design and functionalization. Key themes include energy transfer mechanisms, multifunctional materials, and environmental applications. Projects : Development of luminescent nanothermometers and multifunctional MOFs Optimization of lanthanide separation in novel solvents Labs/Teams : Based at CiCECO, he collaborates on interdisciplinary projects involving materials synthesis, characterization, and applications in energy and environmental science.

Cory SimonView profile

Associate Professor

• Machine Learning
• Bayesian Optimization
• Computational Materials Science
• +3 more

Cory Simon serves as Associate Professor in the Department of Chemical, Biological, and Environmental Engineering within Oregon State University's College of Engineering. His research integrates machine learning, optimization, and chemical engineering to advance materials discovery and environmental sensing systems. His academic foundation includes a Ph.D. in Chemical Engineering from the University of California, Berkeley and a B.S. in Chemical Engineering from The University of Akron. Simon's work centers on Bayesian methodologies for scientific challenges, featuring: Bayesian optimization for adaptive materials synthesis Statistical inversion of physical systems with uncertainty quantification Computational design of nanoporous sensor arrays Stochastic algorithms for robotic environmental monitoring Recent publications demonstrate accelerating focus on multi-fidelity optimization for molecular design and atmospheric water harvesting, bridging chemical engineering with computational science through data-driven approaches. Leading The Simon Ensemble research group, Simon champions a versatile 'buffet-style' research philosophy—drawing from mathematics, statistical mechanics, and machine learning to address interdisciplinary problems across chemistry, materials science, and environmental engineering.

• Bioleaching
• Bioremediation
• Circular Economy
• +7 more

Dr. Fatemeh Pourhossein Alamdari is a Research Fellow at Coventry University's Centre for Health and Life Sciences, specializing in bioleaching and circular economy applications. Her work focuses on sustainable recovery of metals from electronic waste, leveraging microbial processes for environmental and industrial solutions. She holds a Ph.D. in Chemical Engineering (Biotechnology) from Tarbiat Modares University (2020), with postdoctoral research in Iran and Italy. Currently, she leads initiatives optimizing bioleaching techniques for critical metals extraction from e-waste. Educational Background: Ph.D., Chemical Engineering (Biotechnology), Tarbiat Modares University, 2015–2020 M.Sc., Chemical Engineering, Babol Noshirvani University of Technology, 2012–2015 B.Sc., Chemical Engineering, Babol Noshirvani University of Technology, 2008–2012 Research Interests: Bioleaching of indium, gold, and precious metals from LCD panels and PCBs Circular economy strategies for e-waste valorization Development of bio-based remediation technologies Design of sustainable bioreactor systems Professional Activities: Guest co-editor for Applied Sciences journal Reviewer for Journal of Environmental Management , Resources, Conservation and Recycling , and others Her research bridges microbiology and engineering to address global challenges in resource recovery and environmental sustainability, contributing to UN Sustainable Development Goals 9 (Industry, Innovation) and 12 (Responsible Consumption).

Corina AndronescuView profile

Assistant Professor

• Electrochemical Energy Conversion
• Catalysis
• Materials Science
• +3 more

Corina Andronescu is an Assistant Professor at the University of Duisburg-Essen, leading the Technical Chemistry III department. Her research focuses on electrocatalysis, advanced materials synthesis, and sustainable energy conversion. She has held positions at the Ruhr-University Bochum and the University Politehnica of Bucharest. Education: PhD in Chemical Engineering (2014), University Politehnica of Bucharest Master’s in Chemical Engineering (2011), University Politehnica of Bucharest Bachelor’s in Chemical Engineering (2009), University Politehnica of Bucharest Research interests: Development of novel electrocatalysts for oxygen evolution reaction (OER), CO₂ electroreduction, and alcohol oxidation High-throughput discovery of energy-related materials using combinatorial methods Investigation of nanostructured materials (e.g., perovskites, high-entropy alloys) for industrial applications Integration of plasma and laser-based technologies in catalyst fabrication Operando electrochemical microscopy to analyze catalyst heterogeneity Design of gas diffusion electrodes for scalable chemical production Awards: 2023: Jochem Block Preis (DECHEMA), Junge Kolleg Membership (NRW Academy) 2022: Joachim Walter Schultze Preis, Gottschalk-Diederich-Baedeker-Preis 2018: Ad Astra Research Excellence Award (Romania), Electrochimica Acta Travel Award 2017: RUB Inventor Award for self-healing catalyst films Advising & Grants: While no advisees are listed, her work involves collaborations on high-throughput material discovery and industrial electrolyzer optimization projects. She has secured grants for aerosol-based catalyst synthesis and nanocomposite development. Labs/Teams: Head of the Technical Chemistry III lab at UDE, focusing on electrocatalytic processes and advanced materials characterization using techniques like liquid-cell TEM and SECCM.

Johanita KrugerView profile

Professor

• Food Science
• Nutritional Bioavailability
• Food Fortification Strategies
• +3 more

Professor Johanita Kruger is a faculty member at the University of Applied Sciences Fulda, Germany, where she holds the position of Professor of Food Technology and Nutrition. Previously, she has held roles including Researcher at the University of Hohenheim and Lecturer at the University of Pretoria. Her research focuses on nutrient bioavailability, particularly inhibitors and enhancers of bioactive compounds, with an emphasis on polysorbate micelle absorption mechanisms, food-to-food fortification strategies, and mineral bioavailability in African green leafy vegetables. She collaborates internationally on projects funded by the German Research Foundation (DFG) and USAID, addressing issues such as micronutrient deficiencies and food processing innovations. Her educational background includes a PhD in Nutrition from the University of Pretoria, alongside extensive post-doctoral and research experience across multiple institutions. University of Applied Sciences Fulda, Germany (2023–present) University of Hohenheim, Stuttgart (2020–2023; 2016–2018) University of Pretoria, South Africa (2015–2015; 2011–2013) Her research interests span food biofunctionality, including the development of novel micellar formulations and the evaluation of food processing techniques to enhance nutrient bioavailability. Key projects include defining food-to-food fortification strategies and investigating iron/zinc bioavailability in traditional African diets. She has contributed to interdisciplinary collaborations, such as the USAID Feed the Future Innovation Lab for Food Processing. Publications highlight advancements in polysorbate micelle stability, polyphenol encapsulation, and the efficacy of tropical plant-based fortification. Her work bridges laboratory research and real-world applications, aiming to improve global food security and nutritional outcomes. Laboratory activities include the USAID-funded Food Processing Lab and collaborative projects with institutions in France and Slovenia. No scientific awards are explicitly noted in the provided text. Her advising and grants include DFG funding for micelle absorption studies and contributions to the Kenyan Flour Blending Initiative. Students and lab teams focus on topics like cereal biofortification and nutrient-micelle interactions.

Luyi SunView profile

Professor

• Materials Science
• Polymer Nanocomposites
• Wearable Electronics
• +4 more

Professor Luyi Sun is a faculty member at the University of Connecticut in the Department of Chemical and Biomolecular Engineering. He earned his Ph.D. from The University of Alabama in 2004 and has held academic positions at Texas State University and Texas A&M University before joining UConn. Current research focuses on multi-functional nanostructured materials for structural, environmental, and energy applications. Specializes in polymer nanocomposites, wearable electronics, soft robotics, and stimuli-responsive materials. Develops green science solutions using biomass-derived materials and novel polymer processing techniques. Recent publications highlight advancements in 4D printing of polymers, MXene-based flexible electronics, and defect engineering in photocatalysts. His work spans nanoscale design for energy storage, flame-retardant coatings, and self-assembled nanosheets for dielectric performance. Awards include Fellow of the National Academy of Inventors, Morand Lambla Award, and Composites Educator of the Year. Professional memberships span American Chemical Society (ACS), American Institute of Chemical Engineers (AIChE), and Society of Plastics Engineers (SPE). 2021 Fellow of the National Academy of Inventors 2020 Morand Lambla Award (Polymer Processing Society) 2018 Composites Educator of the Year (SPE) 2016 Fellow of the Royal Society of Chemistry and SPE His lab develops scalable methods like rotational coating and doctor-blade-assisted casting for thin nanocomposite films. Research includes bio-inspired mechanochromisms, superhydrophilic silica coatings, and enzyme-linked microneedle patches for diabetic wound healing. Current projects explore 4D-printed nerve guidance conduits, dual photo-mechano-responsive materials, and sustainable phase change materials for thermal energy storage.

Cristian CiobanuView profile

Professor

• Nanoscale Surface Physics
• Two-Dimensional Materials
• Computational Materials Design
• +3 more

Cristian Ciobanu serves as Professor in the Department of Mechanical Engineering at Colorado School of Mines, where he has maintained continuous faculty appointment since 2004. His academic journey includes postdoctoral research at Brown University prior to joining Mines, with progressive promotions from Assistant to Associate to full Professor by 2014. Educational background: PhD in Physics, The Ohio State University (2001) MS in Physics, The Ohio State University (1998) BS in Physics, University of Bucharest (1995) His research program integrates computational and experimental approaches to address fundamental challenges in nanoscale surface physics and two-dimensional materials . Specialized expertise includes evolutionary algorithms for atomic structure optimization, development of materials for renewable energy applications, and investigation of self-organized nanostructures on crystal surfaces. Current work emphasizes machine learning applications in high-entropy alloy design and piezoelectric property engineering of layered systems. Publication trends reveal sustained focus on transition metal dichalcogenides, computational materials discovery, and piezoelectric response enhancement through alloying. Recent work increasingly incorporates machine learning for materials design while maintaining strong experimental validation through advanced microscopy and spectroscopy techniques. Key recognitions include: NSF Career Award (2009-2014) Research Excellence Award at Colorado School of Mines (2013) Fellow of the Institute of Physics (elected 2014) Ohio State Presidential Fellowship (2000-2001) Research funding has been secured through competitive mechanisms including the NSF Career Award, supporting his authorship of over 60 technical publications and a coauthored book on atomic structure determination. He actively advises graduate students in computational materials science and nanotechnology research within the Mechanical Engineering department. His scholarly activities are complemented by professional memberships in the Materials Research Society, American Physical Society, and American Vacuum Society. While specific laboratory facilities aren't detailed in source materials, his publication record indicates capabilities in computational modeling, scanning probe microscopy, and thin film characterization relevant to nanoscale materials research.

Mikael EklundView profile

Professor

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +3 more

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

Suraj VasudevanView profile

Senior Lecturer

• Process Design
• Separation Technology
• Process Control
• +2 more

Suraj Vasudevan is a Senior Lecturer in Chemical and Biomolecular Engineering at the National University of Singapore's College of Design and Engineering. He holds a Ph.D. in Chemical Engineering from NUS (2011) and a B.Eng. (Honors) from NUS (2004). His teaching focuses on: Chemical process design and simulation Separation processes and industrial control systems Food technology applications Research addresses sustainable energy solutions, including CO2 conversion technologies and carbon capture optimization. Vasudevan has received multiple teaching awards including the Annual Teaching Excellence Award (2019, 2021, 2023) and the Faculty of Engineering's Engineering Educator Award (2020-2022). His publications appear in leading journals including Energy and Industrial & Engineering Chemistry Research.