Activity of the research laboratory

The Laboratory is responsible for solving the problems of health care by the tools of advanced measurement and information technology. Most of the research capacity concentrates on the noninvasive diagnostics of the brain and the cardiovascular system, applying the so-called bioelectric imaging procedures. An important part of the activities are the modeling studies (motion analysis, bioelectric source definition) for understanding the biological systems, and the analysis and synthesis covering many components of dietary intake. More recently, a significant part in the Laboratory's activities is the development and research of an intelligent information system with remote diagnostic and treatment units assisting in home care. The development of these topics are guaranteed by “NKTH” (National Office for Research and Technology), “NTP”, EU and “TéT” (Hungarian Science and Technology Foundation) support. To handle the interdisciplinary issues properly the Laboratory intensively cooperates with some industrial and health care institutes (e.g., GE Healthcare Hungary, Semmelweis University’s Vein and Heart Surgery Clinic, as well as the Csolnoky Ferenc County Hospital).

Research results

Brain and heart examinations with bioelectric imaging procedures

  • The determination of the space and time dependent bioelectric sources of neurological mechanisms and the functional relationship between certain areas of the brain may help to understand the functioning of the brain, and the mapping of reparative mechanisms after diseases. The actual researches in the Laboratory are carried out in order to discover the post-stroke reparation process, comparing the results of these studies with the results of fMRI examinations. These researches are related to the NEUROMATH FP7 COST program.
  • The ECG mapping type measurements allow the use of all the body surface information to solve diagnostic tasks. Currently, the method is used to discover the necessary structural and functional condition of the so-called sudden cardiac death, using the parameters describing the changes of integral maps displaying the sequence of ventricular depolarization and spatial heterogenity of repolarisation by each cardiac cycle.

Modeling of biological systems

  • A multi-scale arm model has been developed, which aims to create a connection between the measurable macroscopic quantities (movement patterns, EMG signals) and the basic molecular units. The model sensitivity analysis is an essential part of the estimation process.
  • The estimation of the brain source activity (Brain Electro-Mapping, BEM) is in connection with the concept of available spatial resolution. While it is known that the EEG has a good temporal resolution (up to 2048Hz), its spatial resolution is relatively low. To improve this situation, a series of computational procedures “projects” back to the brain surface the potentials measured on the scalp. The examinations carried out studied the impact of different types of noises (geometry, conductivity, potential measurement) to the accuracy of source reconstruction.

Nutrition synthesis

  • The lifestyle and diet composition have a large impact on the prevention and treatment of the chronic diseases (cardiovascular diseases, diabetes, cancer, allergy) affecting a significant part of society. The Laboratory has carried out and implemented artificial intelligence methods which are able to analyze eating habits covering many parameters, and even supporting or substituting the work of human experts, these methods are able to synthesize personalized menu plan.

Remote diagnostic systems research

  • The health care costs can be significantly reduced by home caring of patients not necessarily needing hospital care. The main task of the remote diagnostic systems is the algorithmizing of the matured medical knowledge used in clinics: automatic generation of conclusions from the parallel tracking and interpretation of main physiological parameters. The Laboratory’s researches currently deal with the health preservation of the elderly and lonely age-group, the primary and secondary prevention issues, as well as the home, controlled rehabilitation issues.

Applying knowledge models (ontologies) in the health care

  • The specialty knowledge models (ontologies) designed by expert consensus can be automatically used in health information systems with applying appropriate formalism and technology. Such an application was the NEUROWEB system (international FP 6 R&D program), in which we used the stroke knowledge model for phenotype definition, intelligent literature searches, and the unified mapping of clinical databases.

Introduction of the head

thumb kozmann-gyorgyGyörgy Kozmann received the M.Sc. degree in electrical engineering from the Technical University of Budapest, in 1964, the C.Sc. (PhD) and D. Sc. degrees from the Hungarian Academy of Sciences in 1981 and 2001, respectively.
He is Professor of Medical Informatics, University of Pannonia, Veszprem, president of the Medical Informatics R&D Centre, of the Faculty of Information Technology, scientific adviser at the Research Institute for Technical Physics and Materials Science, Budapest, Hungary. Member of several academic committees and the management boards of international organizations. President of the Biomedical Division of the J. von Neumann Society, Editor-in-chief of the Hungarian periodical IME (Information and Management in Healthcare). Professional areas of interest: health information systems, measurement and interpretation of bioelectric phenomena, remote diagnostics.

Activity of the research laboratory

The Laboratory is engaged in the development of new methods of optical radiation measurements, photometry and colorimetry. It works on methods to improve the physiologically and psychologically proper processing of visual information in multimedia and virtual reality applications.
To fulfil these tasks the Laboratory deals with the visually optimal description of optical radiation, with the effects of image perception in virtual environments. An important task in this respect is the investigation of human vision in the mesopic luminance range, the determination of the mesopic spectral luminous efficiency function, the investigation of the phenomenon of “presence” in virtual environments, the study of colour rendering properties of light sources, especially of solid state light sources and the investigation of colour memory. The Laboratory is engaged also in the practical application of above research subjects, thus e.g. the results of the investigations of virtual environments are applied in the rehabilitation of persons with special needs, in the development of software products that can improve their life; results of mesopic photometric investigations can show ways how street lighting can be made more efficient and can contribute to safer use of the roads; the colour rendering investigations show how more efficient and more pleasant lighting can be designed.
Important research areas are the theory and practice of multimedia, virtual reality and “Design for All” (a universal software design that provides for everybody barrier free user surfaces), the Laboratory is partner in several R&D projects, focusing on rehabilitation and education.
The Laboratory participated in all above research areas in several national and international (EU) projects. Based on these an international standard for mesopic vision is under development, but work was done also in an international consortium to develop intelligent automotive headlamps. At present the Laboratory is engaged in four EU projects and a consortium financed by the National Office for Research and Technology to develop a LED street lighting luminaire that provides more safety and is more energy efficient.

Research results

The research achievements of the laboratory span a large circle from basic visual psychophysical findings till the application oriented results of light emitting diodes and the use or virtual environments in rehabilitation and teaching.
In the field of visual fundamentals the following results are of major importance: better description of highly metameric stimuli, especially in case of LEDs, the clarification of fundamental phenomena in mesopic vision, the determination of the spectral glare efficiency of the human observer. Result of the Laboratory got international acceptance and use in the fields of colour rendering, colour preference and colour harmony, just as the results of short term and long term colour memory.
From among the results of the investigations conducted in the field of virtual environments and multimedia we would like to mention the use of these new informatics possibilities in rehabilitation and education, as well as design for all. Results of the Laboratory are used in the rehabilitation of strokes patients, and in the documentation of the rehabilitation progress, programs have been designed and are used in testing WEB pages for their barrier free access.

Introduction of the head

thumb schanda-janosJános Schanda is Professor Emeritus of the University of Pannonia, Hungary. He graduated in physics at the Loránd Eötvös University in Budapest. At the Research Institute for Technical Physics of the Hungarian Academy of Sciences he first dealt with ZnS electro-luminescence, where he wrote his PhD thesis on the “Spectroradiometric Investigation of Electroluminescence”.
The Hungarian Academy of Sciences granted him the degree of “Doctor of Technical Sciences” for his thesis work on colour rendering. He retired from the Institute as Head of the Department of Optics and Electronics and joined the University of Veszprém as professor of informatics. He headed there the Department of Image Processing and Neurocomputing. Since retirement he is Professor Emeritus and advisor for the “Colour and Multimedia Laboratory”, now “Research Laboratory for Virtual Environments and Imaging Technology”.
During the nineteen eighties and nineteen nineties he worked for the International Commission on Illumination (CIE) as its General Secretary and later technical manager. He functioned also in a number of honorary positions of the CIE. At present he is the Vice President Technical of the Commission, chaired and chairs several Technical Committees, among others dealing with fundamentals of photometry, colorimetry and colour rendering. At present he is the President of the Hungarian National Committee of the CIE.
Dr. Schanda is member of the Optical Society of America, of The Society for Imaging Science and Technology and of several Hungarian Societies in the fields of light and lighting and optical measurement.
He is on the editorial / international advisory board of Color Res. & Appl., USA, Lighting Research & Technology, UK and Journal of Light & Visual Environment, Japan. He is author of over 500 technical papers and conference lectures.

Activity of the research laboratory

  • Application of Life Cycle Analysis and Supply Chain Analysis to energy supply and efficiency problems
  • Renewable Energy generation and management options, including polygeneration of energy, heat, cold and other products such as food and fuels
  • CO2 emissions reduction and mitigation exploiting IT tools
  • Integration of Renewable sources of Energy into Energy Supply Chains
  • Optimum maintenance and availability

Research results

Recent Projects:

  • ERDF bilateral project HU-SI: ECO-HUB, 2011-2014: “Information and eco-educational centre for small and mediumsized enterprises to support innovation and environmentally friendly products, processes and services”. Partnerek: University of Maribor, Pannon Novum Regional Innovation Centre, Chamber of Commerce Nagykanizsa.
  • EC FP7 project „Development of Efficient and Robust Controllers for Advanced Energy Systems” – DECADE, 2009-2013. Partnerek: University of Western Macedonia – Greece, Parametric Optimization Solutions Ltd. – UK,  ESTIA LTD - Greece.
  • EC-FP7 project „Intensified Heat Transfer Technologies for Enhanced Heat Recovery”  – INTHEAT, 2011-2012. Partnerek: Process Integration Ltd (UK), Cal Gavin (UK), Akstionernoe Obshchestvo ‘Sodrugestvo-T’ (Ukraine), Makatec Apparate GmbH (Germany), Oikos, svetovanje za razvoj, d.o.o. (Slovenia), The University of Manchester (UK), University of Bath (UK), Paderborn University (Germany), University of Pannonia (Hungary), EMBaffle (The Netherlands).
  • EC-FP7 project „Design Technologies for Multi-scale Innovation and Integration in Post-Combustion CO2 Capture: From Molecules to Unit Operations and Integrated Plants” – CAPSOL, 2011-2014. Partners: Centre for Research and Technology – Hellas (Greece), University of Manchester (UK), University of Paderborn (Germany), Imperial College of Science,Technology and Medicine (UK), Eidgenössische Technische Hochschule Zürich (Switzerland), National Technical University of Athens (Greece), Julius Montz GmbH, (Germany), Public Power Corporation SA (Greece), CaO Hellas Macedonian Lime SA (Greece), Process Design Center B.v. (The Netherlands), Scottish Power Generation PLC (UK).

Introduction of the head

thumb jiri-klemesJiří Klemeš is a Pólya Professor and EC Marie Curie Chair Holder (EXC) at the University of Pannonia, Veszprém in Hungary. Previously he worked for nearly twenty years in the Department of Process Integration and the Centre for Process Integration at UMIST and after the merge at The University of Manchester, UK, as a Senior Project Officer and Honorary Reader. He has an MSc in Mechanical Engineering and a PhD in Chemical Engineering from Brno Technical University - VUT Brno, Czechoslovakia and an H DSc from National Polytechnic University Kharkov, Ukraine. He has many years of research and industrial experience, including research in process integration, sustainable technologies and renewable energy, which has resulted in many successful industrial case studies and applications. He has extensive experience managing major European and UK Know-How projects and consulted widely on energy saving and pollution reduction. Previously he ran research in mathematical modelling and neural network applications at the Chemical Engineering Department, University of Edinburgh, Scotland. He is an Editor-in-Chief of Chemical Engineering Transactions, Subject Editor of Journal of Cleaner Production, Deputy Regional Editor of Applied Thermal Engineering, Associate Editor for Heat Transfer Engineering, a Member of the Editorial Board for ENERGY – The International Journal; Cleaner Technologies and Environmental Policies; Resources, Conservation and Recycling; Integrated Technologies and Energy Saving. In 1998 he founded and has been since the President of the International Conference “Process Integration, Mathematical Modelling and Optimisation for Energy Saving and Pollution reduction – PRES”.

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Activity of the research laboratory

Optimization is the most important basis of modern decision making. The main objective of the Optimization Research Laboratory is a constructive participation in the worldwide development of this, relatively new, branch of science. Optimization is based on mathematics and computer science. It also pays attention to the utilization of new developments in hardware architecture. As a result, the activity of the Research Laboratory extends to the following areas:

  • Theoretical, algorithmic, complexity and computational methods research covering the core areas of optimization, with special emphasis on large scale linear, network, mixed integer, conic linear, smooth convex, nonlinear and stochastic optimization.
  • Theory and practice of optimization modelling.
  • Modelling uncertainty, sensitivity analysis.
  • Design and implementation of robust optimization algorithms.
  • Approximation algorithms, including well founded heuristics.
  • Optimization on distributed architecture, including computational grids.
  • High accuracy optimization (special but important application areas).
  • Enhancement of implementation technology of optimization software (how to implement efficiently theoretically correct algorithms).
  • Application projects, including VLSI design, nuclear core reloading optimization, radiation therapy treatment optimization, electricity portfolio optimization, engineering design optimization.

Research results

The leaders of the lab are also world-wide leaders in the theoretical and practical development and enhancement of the two main families of solution algorithms: the simplex method and interior point methods. Both are aimed at the efficient solution of large to very large scale optimization problems. Their achievements have been incorporated in the most successful commercial software packages. Further results include network optimization, mixed integer, quadratic, conic quadratic, semidefinite and smooth nonlinear optimization. Duality theory and computational methods are developed as well.
Among the important results in the simplex method it is worth quoting the creation of a completely new dual simplex algorithm (phase 1 and phase 2) that is highly efficient in itself but even more so if used as the computational engine in the solution of mixed integer problems. Further significant improvements have substantially increased the algorithmic and numerical capabilities of both the primal and dual simplex method. They have enabled the solution of very large and complex problems that were unsolvable so far.
The modern age of interior point methods have started in 1984 with Karmarkar’s epoch making paper. Since then hundreds of variants of polynomial time IPMs have been developed for linear, smooth convex, conic quadratic and semidefinite optimization problems. The target following concept, the self-dual embedding model and novel ways to do sensitivity analysis are among the notable contributions. Interior point methods not only revolutionarized the theory of optimization, but allowed us to develop powerful IPM based optimization software. Nowadays IPMs are part of all leading optimization packages, and are dominant for conic linear optimization.

Introduction of the heads

thumb maros-istvanIstván Maros, mathematician (Eötvös University, Budapest 1964) is a professor of operations research (OR). He received doctorate (1982) from Eötvös University and CSc (1981) and DSc (2006) from the Hungarian Academy of Sciences. Before joining the University of Pannonia in 2006, he was a professor at the Department of Computing, Imperial College London for 11 years. His research interests include linear and nonlinear programming, network optimization, computational techniques of optimization, implementation technology of optimization software, parallel optimization and applications of OR. He has been the chief architect of 12 optimization systems over 30 years each of which represented the state of the art of its time and built scientific achievements of the author. He is the founding co-editor of Computational Management Science (a Springer journal) and associate editor of several international and domestic scientific journals and book series. He is also a member of several international professional organizations.

thumb terlaky-tamasTamás Terlaky, mathematics (Eötvös University, Budapest, 1979) is a professor of operations research (OR). He received doctorate (1981) from Eötvös University, Budapest) , CSc (1985) and DSc (2005) from the Hungarian Academy of Sciences. He has previously taught at Delft University of Technology, Netherlands, McMaster University in Canada, Lehigh University, PA, USA. At McMaster he also served as the founding Director of the School of Computational Engineering and Science. Founding editor-in-chief of the journal, Optimization and Engineering. Terlaky has served as associate editor of seven journals, conference chair, conference organizer, and distinguished invited speaker at conferences all over the World. Member and former chair of numerous professional organizations, and Fellow of the Fields.

Activity of the research laboratory

The research laboratory is concerned with interdisciplinary questions of systems- and control theory, computer science and especially artificial intelligence
The research topics are as follows:

1. Intelligent diagnostics of complex process systems

Diagnostics of complex large-sized industrial systems can be performed based on more complementary but heterogeneous information sources. Moreover, the algorithms are of high complexity because of the large size, the complexity and the heuristic nature of the diagnostic information. Because of the above features, model based intelligent methods and discrete event systems (e.g. Petri nets) based methods are used for the diagnostics of complex industrial systems. Therefore the planned research work is arranged in the three subtopics below.

A) Intelligent diagnostics of complex process systems using agent-based methods

The basis of the work is our agent-based diagnostic method [4,5] prepared for solving diagnostics problems of complex process systems, which uses HAZOP-FMEA knowledge. This method is developed to a version able to work on the hierarchically decomposed model of the system and we are also working on semi-automatic decomposition methods of complex process systems. The research work is done cooperatively with Prof. Ian Cameron and his group (CAPE Centre, Dept. of Chemical Engineering, The University of Queensland, Brisbane, Australia).

B) Model based synthesis and verification of operating and safety procedures using Petri nets

For the formal description of operating and safety procedures different types of Petri nets are used. This formal description provides an opportunity for the verification and hopefully for the algorithmic synthesis of these procedures using formal tools [6].

C) Agent systems

Agent-based developments and simulations are of high importance since the agent senses its environment with its sensors, and based on sensor inputs it makes decisions, which are realized by agent software by changing the environment with its actuators. Models can be created which treats every component as an intelligent agent, and the whole system can be examined in the light of the inter-agent connections. We are examining agents which are able to learn, and we are applying our results in the area of robot control and educational methodology [7].

2. Analysis, identification and control of nonlinear systems

The state- and parameter estimation of nonlinear and stochastic systems is an intensively researched area which has several practical benefits exceeding its theoretical difficulties and beauty. Our research is research work is arranged in the following two subtopics.

A) State- and parameter estimation of quantum mechanical systems

The systems- and control theory approach to quantum mechanical systems have challenges in store for the engineers since the quantum measurement is a probabilistic operation and that’s why quantum systems are special stochastic systems. One of the research directions is quantum state estimation, or state tomography which is the approximate determination of the original state based on the outcomes of quantum measurement [8,9]. The other direction is the parameter estimation of simple quantum channels. Quantum channels are transforming qubits representing the quantum information. In practice the effects of quantum noise, and quantum communication is modeled using quantum channels. This topic applies quantum state estimation since sending a known state through the channel we have to estimate the output state. The use of optimization tools in channel estimation provides a possibility to the optimal choice of the input states and observables, too.

B) Determining the stability region of nonlinear systems using maximal Lyapunov functions (Katalin Hangos, Szabolcs Rozgonyi)There are no general methods for the determination of nonlinear systems’ stability region. In our research a special rational fractional Lyapunov function candidate is used which is determined iteratively in such a way that the domain of attraction it covers is as great as possible.

Introduction of the head

thumb hangos-katalinKatalin Hangos has an M.Sc. degree in Chemistry (ELTE TTK, 1976), M.Sc. in Computer Science (ELTE TTK, 1980), Academic Doctor of the Hungarian Academy of Science (MTA) (1993), habilitated doctor (process systems engineering, 1994, information technology, 2000). At present she is a university professor at the Department of Electrical Engineering and Information Systems, University of Pannonia, and a research professor at the Process Control Research Group, Computer and Automation Research Institute, Hungarian Academy of Sciences. Professor Katalin Hangos, the head of the Intelligent Control Systems research laboratory, with her strong system- and control theoretical and computer science education, is one of the few female professors of the process control science. Her major field of interest is the dynamical modeling of process systems for control and diagnostic purposes. She is a coauthor of over 100 journal papers about different aspects of modeling and control of process systems including nonlinear, stochastic, Petri net-based, qualitative, and graph theoretical process models. In 1992 she was awarded the prize of the Czech-Slovakian Academy of Science, she was awarded the Prize of the Computer and Research Institute, Hungarian Academy of Science (MTA SZTAKI) several times, in1998 and 2006 she was awarded the Best Supervisor Award of the MTA SZTAKI, and in 1995 she was nominated to a honorary university professor of the Budapest University of Technology. She is the Hungarian representative of the IFAC Technical Committee on Chemical Process Control, and member of the IFAC Hungarian National Committee, she is the president of Process Engineering Working Committee of the Hungarian Academy of Science, and a member of the System Technical Working Committee.


Activity of the research laboratory

Improvement of enzyme stability by means of its coating with a nanometer-scale polymer layer, providing longer lifetime of enzymes for biochemical processes. This polymer nanolayer is thin and porous enough to allow practically unhindered diffusion of the substrate from the solution to the active site of the enzyme. Chymotrypsin, mannozidaz and cellulas enzymes have been investigated. The activity’s change of the free and the covered enzymes was measured at different temperatures and pH values. It has been proved that the preparation of enzyme nanoparticles can essentially stabilize the enzyme;
Removal of zinc and nickel ions by complexation-membrane filtration process from industrial wastewater; many industrial wastewater streams contain toxic metal cations, for example, Ni2+, Zn2+, etc. or their oxyanions in up to few hundred mg/dm3, which must be removed before water recycling or discharging directly into surface waters. The conventional processes to treat this kind of wastewater are, e.g. chemical precipitation, ion exchange, membrane separations (such as electrodialysis, nanofiltration, reverse osmosis), adsorption or biosorption. The complexation-microfiltration is a promising method with several advantages: e.g. higher bonding selectivity, highly concentrated metal concentration for reuse, etc. The efficiency of the process has been investigated under different conditions (the effect of pH, complexation agent, concentration ratio, membrane properties);
Enantioseparation of D,L-lactic acid by membrane techniques; The D,L-lactic acid resolution has been studied in two types of membrane techniques, by supported liquid membrane and by solid chiral membrane using polypropylene hollow fiber module. In the latter case, the liquid membrane containing the chiral selector was evaporated from the membrane pores, thus, the selector was deposited as an amorphous, solid layer on the internal membrane surface. The enantioselective transport was facilitated by chiral selector: N-3.5-dinitrobenzolyl-L-alanine octylester.
Investigation of the mass transfer through the membrane layer during separation; the mass transport during pervaporation and during biochemical membrane reactor has been investigated. The mechanism of the process, the effect of the membrane properties on the mass transport are important factors to improve the membrane efficiency. The description of these processes can significantly help to choose correctly the membrane properties and the operation conditions for a given separation.
Investigation of the second generation biofuel fermentation; the effect of different pretreatment methods are investigated on the hydrolysis of lignocelluloses. The hydrolysis and the fermentation is carried out then in a fermentor, simultaneously.

Introduction of the head

nagyeEndre Nagy is chemical engineer (University of Chemical Industry in Veszprém, 1969). He defended his doctoral thesis in 1973 (Techn. Dr), his Candidate thesis in 1985, and then thesis of his doctor of sciences in 1995 and he received his PhD in 2000. He has been employee of the Research Institute of Chemical and Process Engineering of the Hungarian Academy of Sciences as scientific co-worker since 1971. From 2004 he is director of this Institute. He habilitated at Technical University of Budapest in 2000 and became professor at University of Pannonia in 2004.
He had scholarship between 1991-1992, at Technical University of Graz, at Institute of Biotechnolgy . His research topic was investigation of the mixing in large bioreactors. In a framework of a joint research project, he spent altogether two years at Technical University of Darmstadt (Germany, 1979-1990). Topic of this project was investigation of heterogeneous, catalytic reactions.
Main topics of his research activity: Mass transfer in two- and three-phase systems, (1971-); Heterogeneous catalytic reaction: isomerisation of n-hexane on zeolite catalyst (1979-1990); Mixing in fermentation reactors, scale-up (1991-1994); Pervaporation process, mass transfer and separation by membrane processes (1971-); Separation of optically active components by membrane processes (2000-); Enzyme catalyzed reactions, bioreactions, bioprocesses, investigation of production of bioenergy (bioethanol), biochemicals from agricultural productions, utilization of biomass (1985-)

Further information on webpage:

Activity of the research laboratory

The Research laboratory is commonly operated by the Research Institute of Chemical and Process Engineering (at Faculty of Information Technology), and by the Institute of Materials and Environmental Chemistry (CRC, Hungarian Academy of Sciences).
Main activities:

  • Preparation of functional micro & nanoparticles for drug delivery systems with controlled and targeted release.
  • Preparation of solid biocatalyst support particles for immobilization of enzymes.
  • Preparation and formulation of fine ceramic powders or other particulate materials for electrical applications (spouted bed drying, spray granulation, grinding, milling, crystallization, precipitation).
  • Measurements and analysis of morphological and functional properties of fine particles.
  • Investigation of transport phenomena in soils using size analysis, zeta-potential measurements, etc.

Research results

  • Simultaneous precipitation – spherical agglomeration method to produce composite microparticles for controlled drug delivery systems. The effects of process parameters and material properties on the structural and functional behavior of particles have been elucidated.
  • New drug formulas with protein type ingredients (e.g. natural interferon) composed of tailored particles with sizes between 200 nanometer and 300 micron. Correlations determined between the conditions of preparation and the chemical, physical, structural and functional properties of the particles, used for optimization.

PLGA/BSA microspheres PLGA nanospheres

  • New stochastic modeling method was developed to investigate the thermal degradation of starch molecules to elucidate the kinetics and mechanism of this process.
  • New, mechanically spouted bed methods were developed for drying of heat sensitive protein solutions and food pulps.
  • New emulsion-crosslinking method for production of solid biocatalyst support particles.
  • Preparation of fine ferrite powders used for coating of electrical components.

Introduction of the head

thumb gyenis-janosJános Gyenis was graduated at the University of Veszprem in 1962. From this time he worked at the Oil Refinery of Komarom (Hungary) as the head of the technical development group. From 1971 he worked at the Research Institute of Chemical and Process Engineering (Veszprem, Hungary) as research fellow, then as senior researcher, head of department, scientific vice director, and till 2005 as the director of the institute. His main research fields are: heat and mass transfer operations, investigation and development of new processes, methods and equipment. At present, his special research field is preparation and investigation of functional nano and microparticles. In 1975 the CSc degree in chemical engineering (PhD equivalent) was granted to him. In 1993, the title of DSc (Doctor of Sciences in Chemistry) was granted to him by the Hungarian Academy of Sciences. In 1994, the title of Dr.Habil and PhD degree were granted to him by the Technical University of Budapest. From 1999, he became invited university professor, and from 2001 full professor at the University of Kaposvar. From 2005 he works at the University of Veszprem (University of Pannonia), as scientific advisor and now as full professor. During his work he has published about 200 scientific papers, about 60 of them published in SCI journals and the rest of them mostly as books chapters in and conference proceedings. He is co-inventor of 24 patents. His works were referred by more than 200 independent citations. He organized several international conferences, he was member of editorial boards or served as referee for several international journals. He is member of several domestic and international scientific organizations or committees.
Till now, he is the author or co-author of 193 papers, book chapters, conference proceedings and other written works. Almost 60 of them were published in referred journals. The number of presentations is close to 100. He is co-inventor of 24 patents or filed inventions. His published works were referred by more than 200 independent citations.

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