Course Info Course Number Course Title Lecturer Published/Updated More Inforamtion
Dr. Menahem (Hemi) Rotenberg 23/03/2023 More Inforamtion
Prof. Yuval Garini 26/01/2023 More Inforamtion

This course covers the biophysical and engineering principles behind the experimental methods for investigating the molecular machinery of cells. The course covers emerging tools for sensing individual biomolecules and their applications in biomedical the field. The lectures focus on Nanopore sensing methods, super-resolution microscopy of cells, single molecule fluorescence resonance energy transfer (sm-FRET) and various force measurement techniques including optical tweezers, magnetic tweezers and Atomic Force Microscope (AFM).

Prof. Amit Meller 21/01/2024 More Inforamtion
Dr. Yosi Shamay 10/09/2023 More Inforamtion
Prof. Yuval Garini 21/01/2024 More Inforamtion
Dr. Yosi Shamay 21/01/2024 More Inforamtion
Prof. Josué Sznitman 21/01/2024 More Inforamtion

The course will provide an overview of recent advances in deep-learning applied to Magnetic Resonance Imaging (MRI). We will briefly introduce the theoretical and practical aspects of MRI. Then we will discuss how deep-learning has been applied to the entire MRI processing chain including acquisition, reconstruction, restoration, registration, segmentation, and diagnosis.

At the end of the course, students will know:

  1. How to formulate a challenge in MRI processing pipeline by a deep-neural-network.
  2. How to implement a deep-neural-network to solve a given challenge such as:
    1. Segmentation
    2. Registration
    3. Reconstruction/Restoration
    4. Disease prediction
    5. Quantitative MRI analysis (specifically, Diffusion-Weighted MRI)
  3. How to train and evaluate a deep-neural-network to solve a challenge in MRI.
Dr. Moti Freiman 22/01/2023 More Inforamtion

Statistics is most important all across sciences, including in medical diagnostics, biomedical decision making and more. It requires a special way of thinking that is being taught along the course, based on probability theory.

In the course we will learn descriptive statistics and inference statistics, including single parameter inference, comparison of populations, correlations of data and linear regression. Following rehearsal of probability concepts, we will also learn about important statistical functions such as  and more.

Prof. Yuval Garini 23/03/2023 More Inforamtion

An advanced course that aims to enable specialization in a specific area. Detailed syllabus will be defined by the lecturer and approved before the beginning of the semester.

Winter 2023-2024: Biomedical applications at the molecular level. The course is designated for graduate students, and 4th-year undergraduate students upon lecturer’s approval.

Prof. Yuval Garini 08/10/2023 More Inforamtion

The structure and function of the human body including organs, tissues and cells of the body’s systems. the integumentary system, the skeletal system, the muscular system, the nervous system, the endocrine, the urinary and the reproductive system, the cardiovascular and respiratory system and the digestive system, the interrelationships among physiological systems and regulation of physiological functions involved in maintain homeostasis.

The students will know how to:

  1. Describe core-concepts in human anatomy from a functional point of view.
  2. Describe the basic structure of organs, tissues and cells that belong to each system and function of organs of each system.
  3. Identify the names and processes of the different parts of the human body including organs, parts of organs tissue aspects.
  4. Explain the role of human anatomy in basic clinical scenarios with specific reference to clinical applications in individual health care professions.
  5. Describe the regional anatomy of the human body through common medical imaging technologies.
  6. Recognize, name, identify, describe, relate, locate, distinguish, analyze, differentiate, compare, categorize, organize, evaluate, and compare the aspects of body organization and anatomical nomenclature as it applies to human anatomy, histological tissues, and human developmental anatomy.
  7. Describe the interrelation between the different systems, including the integumentary system, skeletal system, muscular system, nervous system, endocrine, urinary and reproductive systems, cardiovascular and respiratory systems and digestive system.
Dr. Katrien Vandoorne 21/01/2024 More Inforamtion

An advanced course that aims to enable specialization in a specific area. A detailed syllabus will be defined by the lecturer and approved before the beginning of the semester.

Spring Semester 2021/2022: Machine Learning for Physiological Time Series Analysis. The course is designated for graduate and 4th-year undergraduate students

Dr. Joachim Behar 23/03/2023 More Inforamtion

Discusses respiratory airflows and fundamentals of Inhalation Therapy in treating Airway Diseases. Topics Covered: Fluid Mechanics of Respiration, Oxygen Transport, and the Role of Surface Tension, the Governing Mechanisms for Particle Transport and Deposition in Airways (Impaction,Sedimentation,Diffusion),and Designs of Medical Devices for Inhalation.Emphasis Is Put on Dimensional Analysis and Parameter Estimation to Gain Physical Understanding of Flow and Particle Transport in the Lungs.

Prof. Josué Sznitman 19/01/2021
  1. Biotechnology: An Integrated Biological, Physiochemical and Medical Engineering Endeavor. Fields of Application.
  2. the Enzymatic Reaction as Unit Operation in Biotechnological-Biomedical Processes.
  3. Bioreactors for Medical Applications: Principles of Design and Operation.
  4. Immobilized Enzymes: Preparation and Characterization.
  5. Inactivation of Biocatalysts: Its Mechanisms, and Approaches to Prevent It.
  6. Control Systems for Biotechnological-Biomedical Processes. Biochemical Sensors.
  7. Separation and Purification of Biologically Active Materials from Biomass
Assoc. Prof. Dror Seliktar 16/04/2023 More Inforamtion

Design of computer-based (virtual) medical instruments. introduction to LABVIEW programming. Additional PC-instruments interfaces (GPIB, RS232, USB). Synchronization methods for parallel threads (sampling, data analysis, storage and display) design of virtual instrumentation for monitoring of physiological and medical parameters.


This course is on the basic design and fabrication principles of genetic circuits and systems in living cells. The course consists of three parts:

  1. System biology: the student will learn about the different mechanisms of gene regulation in living cells, gene networks motifs (feedforward, negative and positive feedbacks) and noise in genetic systems.
  2. Mapping engineering concepts to genetic systems, the student will learn to use concepts from electrical engineering (e.g. digital/ analog design) to build genetic circuits.
  3. Molecular biology and characterization techniques, the student will learn about different methods of DNA assembly and tools to measure the activity of genetic circuits.

Learning outcomes: at the and of the course the student will be able to:

  1. develop engineering models for building genetic circuits and systems.
  2. carry out detailed simulations of dynamics and stochastic behavior for genetic circuits using Monte Carlo simulations.
  3. design primers for PCR and understand DNA sequence files using automation software.
Assoc. Prof. Ramez Daniel 23/03/2023 More Inforamtion

Failure criteria, stress fatigue, stress concentration. Tolerances, material selection, production stages. Analysis and design of: joints (bonding, bolts), springs, bearings, transmissions, clutches. example: bearing and locking of a joint in external prostheses. Design of simple mechanisms and transducers. Motorized systems and energy sources: types and characteristics of electric motors, hydraulic and pneumatic systems. Examples: design of transmission and motorized systems for wheel chairs and dynamic imaging systems. Computer applications for drawing and design.

Dr. Arielle Fischer 10/09/2023 More Inforamtion

Basic laws of mass momentum and heat transfer. Principles of similarity in laminar and turbulent systems. Carrier-assisted and enzyme-promoted mass transport in membranes. Convective mass transfer, dialysis, ultrafiltration. Pharmacokinetics of drug and poison, tracers in blood flow. Compartmental analysis. Models of mass transfer between the body and extra-corporal systems. Artificial kidney and artificial liver.

Prof. Josué Sznitman 22/10/2021 More Inforamtion

Engineering aspects and models of membrane properties, action potential,the Hodgkin-Huxley and Liu-Rudy models. Numerical solutions of action potential propagation in nerve axon and 2D tissue.definition of electrical sources, dipole and monopole source models. Gauss theory, green theory. Volume conductor. The forward problem and inverse problem. Biological effects of non-ionizing electromagnetic, low frequency and high frequency fields (measurement,cellular and whole- body effects, therapeutic effects). Electrophoresis-field effects on the membrane, transport of molecules, drugs and genetic materials, utilization in the laboratory and tissue.

Assoc. Prof. Yael Yaniv 21/01/2024 More Inforamtion

Mechanical failure of joints, artificial joints: biomechanical design configurations in the upper and lower limbs, fractures in long bones and their fixations using various methods. Two-material structures in bones and joints, indeterminate problems in different loading configurations. Composite stresses, material substitutes for bones, ligaments and blood vessels.

Dr. Mark Levy 23/03/2023 More Inforamtion

Electrophysiological methods and systems for neural recording and stimulation. Optical imaging and stimulation of neural activity. Fundamental in vitro, in vivo and behavioral experimental paradigms. Statistical analysis of neural signals.

Dr. Limor Freifeld 26/01/2023 More Inforamtion

Characterization and analysis of continuous-time or discrete-time signals by filtering, auto cross correlation, power spectrum and more. Examples of Electrocardiography (EKG / ECG), Electroencephalography (EEG), Electromyography (EMG). Characterization of Point Process Signals: Statistics of Series of Events and of Intervals: Serial Correlation and Expectation Density. Inter-Relations Between Events, and Between Intervals and Events: Examples for Neurophysiological Signals. Pulse detection Template Matching pulse identification. Neurophysiology examples.

Assoc. Prof. Yoav Shechtman 28/09/2022 More Inforamtion

Molecular aspects: diseases as metabolic malfunctions. Modes of drug action. Drug and prodrugs: molecular design, dosage and blood concentration copolymers and polymer-drug conjugates. Drug-carrying micro – and nanoparticles. Enzyme related aspects. Pharmacokinetics and biodistribution. Drug targeting. Operating systems : concepts and principles. Mechanisms of action. Physioligically-controlled systems. Engineering aspects. Applications.

Assoc. Prof. Daphne Weihs 21/01/2024 More Inforamtion

Description of the fundamental physics and engineering and the clinical applications of nuclear medicine and radiotherapy.

The course covers the following topics: radiation physics and radionuclides, interaction of radiation with matter, the principles of clinical treatments,treatment planning and dosimetry. Radiation detection, measurements and monitoring, radiation safety, treatment machines for radiotherapy, calibration of photon and electron beams, radiopharmaceuticals, brachytherapy. Diagnostic imaging and hybridisation of spect and PER with CT. The course includes hospital visits for learning the various machines and equipment and the various treatment modes.

Learning outcomes: the students will be able to:

  1. understand the fundamental physics of the diagnostic and therapeutic modalities.
  2. understand the various machines, detectors and measurements systems.
  3. be familiar with the standards and safety requirements.
  4. acquire techniques for radiation planning.
Dr. John Kennedy, Dr. Raquel Bar-Deroma 21/01/2021 More Inforamtion

Regulation of medical devices in the US, Europe and Israel. Evaluation of regulatory track and design requirements according to the intended use. Quality system. Risk analysis. Post market surveillance. Human clinical studies. Clinical protocol structure and design. Logistics, regulatory and legal requirements, submission and approval by the IRB (Helsinki).

Learning outcomes: at the end of the course, the student will:

  1. become familiar with fundamental concepts in regulation and clinical research.
  2. become familiar with the requirements that apply to the documentation of the development processes for medical devices.
  3. be able to design and write a basic clinical research protocol.
  4. prepare an IRB (Helsinki committee) submission.
  5. know how to determine what is the appropriate classification for a given medical device.
  6. be able to evaluate alternative regulatory paths for a new medical device.
  7. be able to critically evaluate feasibility and potential clinical study based on the study protocol
Dr. Yael Rozen 21/01/2024 More Inforamtion

The student will meet a number of clinical departments in the hospital. The clinical and engineering problems associated with the implementation of devices in the patient-device-operator system, and the required qualifications for operating the device will be demonstrated. The project will be assigned to small groups within the regular clinical system.

Dr. Anat Grinfeld 05/02/2023 More Inforamtion

The course is designed for graduate students.

The course allows specialization in a given discipline of biomedical engineering, summation of the know-how in writing and, usually, presentation of it in a formal seminar.

Assoc. Prof. Yael Yaniv 17/09/2020

The course is designed for the excellence program in biomedical engineering. The student will be supervised by one of the faculty members and will conduct research in one of the state-of-the-art biomedical engineering labs in the faculty. The student will work independently and at the end of the course will give a seminar and will submit a final report.

Assoc. Prof. Yael Yaniv 17/09/2020

Project 2 follows project 1, and includes the entrepreneurial aspects of biomedical projects. The course includes design analysis, choice of materials, detailed design of instrument’s parts and related accessories, design of control, command and operation units, preparation of production file, construction of prototype, its testing and design review. The entrepreneurial aspects include commercial considerations related to the business worthiness, development and commercialization of a project, presentation for investors.

At the end of the semester a written paper will be submitted, as well as a basic business plan and and investment summary.

Assoc. Prof. Netanel Korin, Dr. Yael Rozen 19/01/2021 More Inforamtion

Project 2 follows project 1. The course includes design analysis, choice of materials, detailed design of instrument’s parts and related accessories, design of control, command and operation units, preparation of production file, construction of prototype, its testing and design review.

Dr. Firas Mawase 02/04/2023 More Inforamtion

Project 1 is conducted by groups of students. Each group chooses a topic from a list published early in the semester. The project consists of design of an instrument or a system for diagnosis or treatment in the medical field. The work includes: literature survey and gathering of pertinent information. Analysis of needs and optional solution. Economic analysis including market research. Survey of possible technical solutions. Functional analysis of solution options. Decision on optimal solution and preparation of preliminary design.

The course is designated for students in a satisfactory academic status, who have accumulated at least 110 credits. The course can be taken with just three of the four prerequisite courses, if the missing fourth will be taken simultaneously with the project course and upon approval of the project’s head advisor, the head of the laboratory and the faculty member in charge of projects.


Dr. Firas Mawase 21/01/2024 More Inforamtion

Physiology of the Cardiovascular, Respiratory, Renal, Digestive and Hormonal Systems, Quantitative Analysis of the Function of the Body Systems. Flow in Blood Vessels and Airways, Mechanical and Electrical Activities of the Heart, the Coronary, Pulmonary and Systemic Blood Systems, Regulation of the Cardiovascular System, Gas Exchange in the Lung and Tissue, Transport of Oxygen and Carbon Dioxide in the Blood, Mechanics of Breathing, Control of Respiration, Fluid, Electrolytes and Hydrogen Ion Balance, Renal Secretion and Regulation, Absorption of Nutrients in the Digestive System, Mobility and Control of the Gastrointestinal Tract, Hormonal Control of the Internal Environment, Endocrine Glands and Principles of Physiological Feedback Control.

Dr. Katrien Vandoorne 14/01/2024 More Inforamtion

A supplementary course for graduate students.

Course topics: Physiology hormonal systems, flow in blood vessels and airways, mechanical and electrical activities of the heart, the coronary, pulmonary and systemic blood systems, regulation of the cardiovascular system, gas exchange in the lung and tissue, transport of oxygen and carbon dioxide in the blood, mechanics of breathing, control of respiration, fluid, electrolytes and hydrogen ion balance, renal secretion and regulation, absorption of nutrients in the digestive system, mobility and control of the gastrointestinal tract, hormonal control of the internal environment, endocrine glands and principles of physiological feedback control.

Learning outcomes: the student at the end of the course will:

  1. have an enhanced knowledge and appreciation of mammalian physiology
  2. understand the functions of important physiological systems including the cardio-respiratory and renal.
  3. understand how these separate systems interact to yield integrated physiological responses to challenges such as exercise, fasting and ascent to high altitude, and how they can sometimes fail.
  4. be able to analyze experiments and observations in physiology.
Assoc. Prof. Yael Yaniv 21/01/2024 More Inforamtion

Course topics: Methods of cardiovascular research. Excitability : voltage-gated Ion channels, gap junction. Excitation-contraction coupling. Sarcomere dynamics and energetics. Laser trap. Frank-Starling law. Relaxation and diastolic function. Coronary circulation : thrombosis and thrombolysis. Heart rate variability, Baroreflex control of the circulation. Arrhythmias : reentry after depolarization. Heart failure. Methods to assess cardiac function and viability. Artificial heart.

Assoc. Prof. Amir Landesberg 21/01/2024 More Inforamtion

Introduction: clinical and scientific needs in medical imaging. X-ray imaging and medical radiology. Computerized tomography and applications. Radioisotope imaging. Ultra-sound imaging. Nuclear magnetic resonance (NMR) principles and applications, spectroscopy. Medical thermography. Surface potential mapping and biomagnetic imaging. Near-infrared transillumination.

Dr. John Kennedy 21/01/2024 More Inforamtion

Course topics: The magnetic resonance phenomenon, magnetic gradients, the relation between the free induction decay and the spatial frequency domain, 2-d and 3-d image encoding, imaging modes and pulse sequences, tagging and spatial modulation of magnetization and their applications in cardiology, contrast materials for medical imaging, hardware concepts, velocity imaging, applications in medicine.

The course is designated for undergraduate students who have accumulated at least 120 credits, and for graduate students.

Prof. Haim Azhari 16/09/2020

Introduction to the field of medical image processing and its applications, 2D signal processing, 2D discrete Fourier transform and its application in medical imaging, image enhancement (histograms, denoising, sharpening), image quantization, image restoration, compression, dicom format,deep-learning methods for medical images, python programming language for medical image processing.

Learning outcomes:

  1. To implement medical image processing algorithms in python programming language.
  2. To determine which algorithm is suitable to solve a specific challenge in medical image processing.
  3. To develop algorithms to solve specific challenges in medical image processing.
Dr. Moti Freiman 21/01/2024 More Inforamtion

The course is designated for graduate students only.

Presenting a Biomedical Engineering Topic and writing a review article to be published in a journal. Each student learns Independently.
1. Experience in collecting and summarizing material for the article.
2. Experience in scientific writing.
3. Experience in editing of an article for publication.

Assoc. Prof. Yael Yaniv 16/09/2020

Course topics: Nano-particles and molecules as markers in biology. Various kinds of nano-particles, fabrication processes, composition and surface chemistry, biological compatibility. Nano-particles as carriers and targets for medical treatments. Forced transport and thermal- fluctuation in solution. Introduction to Rheology and constitutive equations. Nano-particle mediated mechanical and rheological measurements on the single cell level.

Assoc. Prof. Daphne Weihs 24/01/2023 More Inforamtion
Model classification, estimation as an optimization, errors and residuals, standard statistical assumptions, linear regression – ordinary and weighted least squares estimators, expectation and variance for parameters and predictions, multiple linear regression, multicolinearity – detection and treatment, non-linear regression-search methods, constraints. Standard dynamic models – sensitivity equations. Optimal experimental design. Interpretation of the estimates.
Dr. Limor Freifeld 21/01/2024 More Inforamtion

An advanced course which allows specialization in a specific topic. Detailed syllabus will be announced at the time the course is offered.

Spring semester 2022: Functional Magnetic Resonance Neuroimaging: Brain Structure and Function

Lecturer: Dr. Tzipi Horowitz-Kraus.

Assoc. Prof. Tzipi Horowitz-Kraus 30/01/2022 More Inforamtion

An advanced course that aims to enable specialization in a specific area. The course is designated for graduate and 4th-year undergraduate students.

  • Spring Semester of the 2021/2022 academic year: Dr. Menahem (Hemi) Rotenberg will teach Methods and Materials for Bioelectric Interface



Dr. Menahem (Hemi) Rotenberg 17/01/2022 More Inforamtion

An advanced course that aims to enable specialization in a specific area. The course is designated for graduate and 4th-year undergraduate students.

  • Winter Semester: Dr. Yosi Shamay will teach biomedical methods for the diagnosis and treatment of cancer.
  • Spring Semester: Dr. Firas Mawase and Dr. Tzipi Horowitz-Kraus will teach brain stimulation and imaging. The course will be delivered in English.


Dr. Firas Mawase, Assoc. Prof. Tzipi Horowitz-Kraus 23/03/2023 More Inforamtion

Course topics: Differentiated cells and the structure of tissues; cell mobility and cell-cell adhesion; the extracellular matrix; receptors and signal transduction; life and death of cells in tissues; cell and tissue differentiation during embryonic development.

Prof. Shulamit Levenberg 21/01/2024 More Inforamtion

The students will be introduced to problems in the medical field, suggest ideas and create a prototype for their solution. The course will include an initial meeting, where the students will be exposed to a set of clinical problems. After the students pick a specific problem to work on, they will visit the hospital to familiarize themselves with the environment. During 3 says short sprints will be held on the medical challenges. The students will be exposed to business plan lectures.

Dr. Joachim Behar 08/09/2022 More Inforamtion

Experts from the biomedical industry will lecture on their areas of activity while presenting in detail some hi-tech solutions of medical needs. Emphasis will be paid to scientific/ technology aspects, and on regulatory demands and innovation in the development of the biomedical industry.

Prof. Haim Azhari 23/03/2023 More Inforamtion

In this course you will learn about aspects of information processing in the context of information driven healthcare. This includes data pre-processing, visualization, regression, dimensionality reduction (pca, ica), feature selection, classification (lr, svm, nn) and their usage for decision support in healthcare. Tutorials and assignments will train students to deal with medical datasets.

Learning outcomes:

Python for data science. structuring machine learning (ML) projects. ML main concepts and familiarity with main classifiers. Deep learning. ML in the context of healthcare.


Dr. Joachim Behar 21/01/2024 More Inforamtion

Excellent students will learn research methods and critical thinking in an active research laboratory in fields such as tissue engineering, biomaterials or bio-signals. Students will study the background and submit their laboratory plan for approval. The activity in the laboratory will be summarized in a written report and a seminar.

Details and Application Form

Prof. Shulamit Levenberg 10/02/2022 More Inforamtion

Excellent students will learn research methods and critical thinking in an active research laboratory in fields such as tissue engineering, biomaterials or bio-signals. The planned research has to be approved by the laboratory faculty member. The activity in the laboratory will be summarized in a written report and a seminar.

Details and Application Form (Hebrew)

Prof. Shulamit Levenberg 10/02/2022 More Inforamtion

The course includes two parts: fabrication and characterization of genetic circuits in E.coli. fabrication: molecular biology, PCR, designing primers, DNA sequencing , gel electrophoresis, cell culture, advanced DNA assembly methods (e.g. Gibosn assembly, cloning and bacterial transformations).

The second part includes characterization techniques: electrochemistry, fluorescent proteins, bioluminescence, flow cytometry, time-lapse microscopy.

The students will design, build, measure and analyze several genetic circuits:

  1. Analog amplifier using a positive feedback loop.
  2. Build a crosstalk compensating circuit.
  3. Genetic oscillator.

Learning outcomes:

  1. To work with computer aid software to design primers for DNA assembly.
  2. To implement engineering models in living cells.
  3. To use tools to measure biological signals inside living cells.
Assoc. Prof. Ramez Daniel 13/09/2020



Dr. Yulia Merkher 05/02/2023 More Inforamtion

2.0 credits

This is an advanced laboratory that allows specialization in the fields of imaging and medical signal processing, biomechanics, tissue engineering and biomaterials. The laboratory includes 14-17 experiments, of which the students choose 5 experiments according to their areas of specialization/interest. Most of the experiments are related to the research carried out in the faculty by the faculty members. This course helps students to consolidate the areas of interest and to choose the preferred field.


Dr. Yulia Merkher 18/09/2023 More Inforamtion

2.0 credits

The laboratory focuses on the fields of signals and imaging.

Each student must select and complete five experiments from the list of experiments published at the beginning of each semester.

Each experiment include: a 4 hour meeting,  preparatory tasks and a report. Part of the experiments consists of two meetings of four hours each.


Dr. Yulia Merkher 18/09/2023 More Inforamtion

2.0 credits

This is a basic laboratory that provides an initial introduction to the field. The laboratory includes 7 experiments that focus on familiarization and operation of equipment in the field of electricity, mechanics and biomaterials, measurement methods, error calculations and statistics. During the course, the students acquire basic knowledge that links the material learned in the theoretical courses to the practical base. They also study about safety procedures, work procedures and proper report preparation.

Dr. Yulia Merkher 18/09/2023 More Inforamtion

Safety and standards, single fault design, identifying safety hazards, conformity assessment procedures, selection of components, construction details, safety and EMC tests, radiation and immunity testing. User and patient concerns, certification procedures (FDA and EC) as part of the design process. Performance standards for medical implants (ISO TC-150) and of medical devices. Exercises of design methods according to safety requirements.


This is an introductory course describing the concept of continuum, applied to biological substance. Topics will cover: the concept of continuum, fluid properties, stress and pressure. Hydrostatics. Descriptions of motion, streamlines. Application of the principles of conservation of mass, momentum, and energy to fluid systems. Rheological properties that characterizes cells, fluids and tissues, boundary conditions. The Navier-Stokes flow equations. Newtonion and non-newtonion flows.

Assoc. Prof. Daphne Weihs 21/01/2021 More Inforamtion

The course is designated for graduate students.

Advanced Fluorescence Microscopy, Three-Dimensional Microscopy, Super-Resolution, Nonlinear Optics, Laser Scanning Microscopy, Nonlinear Microscopy, Scanningless Microscopy Techniques, Image Processing, Deconvolution.

Assoc. Prof. Dvir Yelin 15/02/2022 More Inforamtion

The course will allow undergrad students on their fourth year (with an average grade above 82) to be exposed to biomedical engineering research and will assist them to choose a mentor and research subject for graduate studies. The course includes a weekly meeting with faculty members and writing a short proposal of an MSc project under the supervision of the faculty member the student will choose.

Learning outcomes: at the end of the course the student will be aware for the variety of research areas in the faculty and learn how to write an MSc proposal.

Prof. Shulamit Levenberg 21/01/2024 More Inforamtion
The course aims to expose before the students the various activities in the field of biomedical engineering and the topics that they will study in depth in advance semesters. The lectures present the research and the academic activities in the department in the three main directions:
  1. Imaging and medical equipment.
  2. Biomechanics systems.
  3. Biomaterials and biotechnology.

The course is designated for students from the biomedical engineering program.

Dr. Yosi Shamay 21/01/2024 More Inforamtion

System presentation, control system characteristics, stability, Pid controller. Non-linear system analysis: phase plane analysis, limit cycles. Linearization and local stability. Lyapunov theory. Adaptive control: Model-reference adaptive system, self tuning regulators. Chaos in biological systems. Applications: heart rate variability, stimulated muscle function, arrhythmogenic activity, control of blood pressure and drug delivery.

Assoc. Prof. Amir Landesberg 02/02/2023 More Inforamtion

Static and dynamic characteristics of transducers used in medicine, shielding, measurement noise and drift. Equivalent circuits, transfer function and measurement errors. Semi diode, bi-polar, FET CMOS transistors. Design of linear circuits, amplifiers, recorders. Specifications and data sheets. Design of analog filters. Gates and digital circuits. Design of medical instrumentation, impedance matching, signal-to-noise, signal processing and safety considerations.


Assoc. Prof. Ramez Daniel, Dr. Menahem (Hemi) Rotenberg 21/01/2024 More Inforamtion

Introduction to the different classes of materials for biomedical applications including synthetic and natural polymers, hydro gels, ceramics, glasses, composites and metal alloys. Measurement of mechanical properties, simple models of viscoelastic behavior, creep and stress relaxation, fracture and fatigue failure modes, challenges in characterization and modeling biomaterial behavior, surface properties of materials, surface modifications, degradation of biomaterials, simple mathematical degradation models, bio compatibility to biomaterials, controlled drug release system and mathematics of release.

Dr. Yosi Shamay 23/03/2023 More Inforamtion

Stress, strain, Hooke’s law, elastic and viscoelastic material, rods under tension, beam bending, torsion in tubes, pressurized vessels, surface tension, energy methods, column buckling, collapse of tubes, yield criteria, kinematics and dynamics of a rigid body, rotating frame of reference, biomedical examples, joints, muscles, bones, implants, the cardiovascular and respiratory systems.

Assoc. Prof. Netanel Korin 20/02/2022 More Inforamtion

Maxwell equations, electromagnetic waves, Gaussian beams, optical pulses, dispersion, geometrical optics, energy levels in atoms and molecules,, scattering, absorption, light-tissue interaction, fluorescent molecules, lasers, Fourier optics, Fresnel and Fraunhofer approximations, the lens, optical imaging, light detection, cameras.

Learning Outcomes:

The end of the course, the student will know how to:

  1. Design simple optical systems
  2. Calculate resolution of an optical system
  3. Calculate parameters of laser beams 4. Carry out simple Fourier analysis of an image.
  4. Estimate SNR of optical signals.
Assoc. Prof. Dvir Yelin 23/03/2023 More Inforamtion

Light propagation in tissue, diffusion approximation, numerical simulation methods, diffuse optical tomography, photodynamic therapy, applications of lasers in biomedicine, laser surgery, coherence in optics, optical coherence tomography, time and Fourier domain OCT, optical fibers, medical endoscopy, miniature endoscopy, spectrally encoded endoscopy.

Learning Outcomes:

The end of the course the student will know how to:

  1. Simulate light propagation in scattering medium.
  2. Calculate the effect of a laser beam on tissue
  3. Design a simple OCT system
  4. Calculate imaging parameters of OCT
  5. Design a simple fiber-based endoscope.
Assoc. Prof. Dvir Yelin 21/01/2024 More Inforamtion

The course is intended for students of biomedical engineering as well as students from other faculties interested in this domain.

The course will focus on biomedical technology entrepreneurship, covering diverse and unique aspects – technology, business, financial, regulatory, ethics and HR – in order to facilitate integration as leaders. Lectures will be delivered by experts in the various fields as well as by entrepreneurs from the biomedical device industry.

Learning outcomes: the students will acquire tools and know2-how in:

  1. Identifying and validating clinical needs.
  2. Assessing and developing alternative technology-basedf solutions.
  3. Preparing business plan including development, regulatory, marketing and financial plans.
  4. Practice presentations skill in front of an audience.

For undergraduate students who have accumulated at least 115  credits, and for graduate students.

Dr. Asaf Ben-Arye 09/02/2022 More Inforamtion

Students will select and characterize an unmet clinical need, research and validate it, and brainstorm early technology-based solutions. evaluate multiple technology-based solutions to the need, then select a leading solution and move it toward the market through prototyping, technical de-risking, strategies to address healthcare-specific requirements (regulation, reimbursement), and business planning (ip, funding, commercialization). learning outcomes: the course provides an intensive, hands-on introduction to the process of health technology innovation.

As part of an interdisciplinary project team, the students will learn:

  1. How to identify a significant unmet healthcare need.
  2. Design and create a prototype of a new technology to address it.
  3. Prepare a plan for bringing the solution to market (including reference to fund raising, intellectual property, regulatory, reimbursement and business models).

Note: This is a continuation course to the Biodesign 1 course (336024). The final grade for the two courses will be given following completion of the assignments in the Biodesign 2 course.

Assoc. Prof. Netanel Korin, Dr. Yona Vaisbuch 09/08/2022 More Inforamtion

The Biodesign course is an identical duplication of the Stanford Biodesign course that runs yearly in Palo Alto, with only minor adaptation to meet Technion’s semesters length, the Technion’s students and the Israeli ecosystem. The program will be closely monitored by Stanford faculty, and scrutinized to meet guiding principles set by Stanford as condition for the Israeli branch to be fully accredited within a 3-year time.

First semester will deal with the identification phase and the concept generation – going through clinical immersions and need finding along with clinical mentoring, need filtering techniques – technology and business potential analysis. Then students will be introduce with
the design thinking philosophy, brainstorming and prototyping workshops. The final presentation will deal with the need statement evaluation, need criteria and 3 optional concepts.
The second semester will begin with the 2nd part of the ideation (concept screening) by deep analysis of the technical feasibility using prototyping, regulatory and reimbursement approach analysis along with relevant business models. Then continue with the implementation phase developing plan for initiation by advanced prototyping, timeline and strategic approach for the different aspects, along with risk analysis. The final presentation will deal with the leading concept, prototyping presentation, other achievement as provisional patent application and future plan/collaboration for launching.

Assoc. Prof. Netanel Korin, Dr. Yona Vaisbuch 09/08/2022 More Inforamtion

A graduate level course. The course will be delivered in English, if such a demand is set.

Cardiac and Skeletal Muscle Physiology and the Intracellular Control of the Excitation Contraction Coupling; Left Ventricle Function Myocyte Structure; The Contractile Filaments Structure; Motility Essay Studies; Huxley’S Model and Biochemical Models of Crossbridge Dynamics; The Sarcoplasmic Reticulum; Force-Length Relationship; Frank-Starling Law; Regulation of Shortening Velocity and Force-Velocity Relationship. Regulation of Biochemical to Mechanical Energy Conversion; Contractile Property of the Failing Heart; Structure, Dynamics and Regulation of Various Muscle Types; Neural and Humeral Regulation.

Assoc. Prof. Amir Landesberg 13/09/2020

Integration of principles of engineering and life sciences as related to development of biological substitutes.

Cells and biomolecules: control of cell proliferation and differentiation, stem cells, gene transfer, growth factors, and morphogenic proteins.

Biomaterials: synthetic, biological, and decellularized bioscaffolds as well as biomimetic materials.

Engineering: bioreactor technology preservation of cells and engineered tissues, mass transport and biomechanics issues.

Clinical applications: tissue and cell transplantation, bioartificial organs, in vivo tissue regeneration.

Prof. Shulamit Levenberg 26/03/2023 More Inforamtion
  • Introduction to inverse problems: linear problems continuous and matrix forms, ill-posed and ill conditioned problems, regularization methods, sparsity, compressed sensing, imaging through scattering media/multimode fibers.
  • Fourier optics – short review: transfer function, 4f system, coherent/incoherent imaging, numerical lens and microscope model.
  • Localization microscopy: imaging modalities – palm, storm, paint, emitter-fitting methods (ls, wls, mle), analysis of localization microcopy via estimation theory, temporal infirmation – 3b, sofi.
  • Single particle tracking: tracking algorithms, kalman filter, motion blur. optical Fourier processing: phase retrieval, adaptive optics, wave front sensing, spatial-light-modulation, ptychography.
  • Three-dimensional imaging: macroscopic vs. microscopic 3D imaging, multifocal microscopy, light-field imaging, point-spread-function engineering, edof, interfermetric localization.

Learning outcomes: at the end of the course the student will acquire:

  1. Understanding in computational optical imaging.
  2. Ability to perform basic numerical modeling and simulation related to computational microscopy.
  3. Understanding of the experimental and numerical limitations of existing techniques.
Assoc. Prof. Yoav Shechtman 23/04/2023 More Inforamtion

The course will be delivered in English.

It will focus on control energy mechanisms: how to quantify mathematically and how to use experimental tools to measure energetic, to build computational and numerical model of energetic, literature survey to find parameters for the model, criticize published works related to the course area.

Assoc. Prof. Yael Yaniv 20/10/2022 More Inforamtion

A supplementary course for graduate students.

Assoc. Prof. Yael Yaniv, Dr. Limor Freifeld, Dr. Inbar Brosh 23/03/2023 More Inforamtion

Diffusion, osmosis, ionic equilibrium, ionic flow through membranes, bioelectric phenomena, excitable membranes, the nerve impluse,Hudgkin Huxley equations,action potential simulation, synaptic transmission, neurotransmitters, neuromodulators, electrical and mechanical activity of muscle cells, organizational principles of the brain, sensory systems – transduction principles and central representation of information,the visual system, the autidory system, working principles of the motor system, functional imaging.


Assoc. Prof. Yael Yaniv, Dr. Limor Freifeld, Dr. Inbar Brosh 23/03/2023 More Inforamtion

The course will be delivered in English.

For graduate students. 4th-year undergraduate students can attend upon lecturer’s approval.


Assoc. Prof. Netanel Korin 02/09/2021 More Inforamtion

Methods of functional evaluation of limbs: standing and gait analysis, forces and moments in muscles and joints, electromyography. Pathophysiology of limbs in amputations, cranial and spinal injuries, stroke. Skeletal muscle fatigue. Design principles of aids for the disabled, artificial limbs and joints. Functional electrical stimulation of paralyzed muscles, hybrid walking systems.

Dr. Firas Mawase 21/01/2021 More Inforamtion
  1. Materials for Medical Applications: Polymers, Ceramics, Metals. Chemical and Physico-Chemical Aspects.
  2. New Structural Materials in Medicine: Porous and Composite Materials.
  3. Biomaterials Under Physiological Conditions: Biocompatibility.
  4. Separation of Biomaterials: Classical and Advanced Methods.
  5. Drugs Provided with Homing Devices.
  6. Controlled-Rate Drug Delivery Systems.
  7. Insoluble Biosorbents and Biocatalysts. Biosensors. Devices for Blood Purification from Toxins and Undesired Metabolites.
  8. Molecular Engineering
  9. Biochemical Systems for Information Processing: Switches, Logic Gates and Neural Networks.
Dr. Yosi Shamay 12/09/2020

Cell types, cellular structure, mechanical environment of flowing and immobile cells, cell-matrix interactions, mass transport across cellular membrane, mechanical signal transduction in cells, effect of loading on cellular response, engineering aspects of cell mobility, morphogenesis and cytokinesis, mechano-chemical coupling and force generation, mechanical properties of blood cells, effect of flow on blood cell structure and function, implications for design of bio-materials, implants and artificial organs.

Assoc. Prof. Dror Seliktar 08/03/2022 More Inforamtion

Introduction to the basic anatomy of the human body. Emphasis is placed on morphological and functional aspects of the various systems with the help of slides, x-ray images and lab work, including: the nervous system, musculoskeletal system, cardiovascular systems, respiratory system and other systems.



A supplementary course for graduate students.

The course is delivered by the Technion’s Continuing Education School.

Dr. Katrien Vandoorne 19/10/2022 More Inforamtion

The wave phenomena. Propagation of acoustic waves in liquids and solids: longitudinal and shear waves. Reflections and refraction from boundaries. Transducers. Acoustic fields. Acoustic mirrors and lenses. Acoustic properties of tissues. Measurement techniques. Acoustic imaging. Tissue characterization and therapeutic techniques.

For undergraduate students who have accumulated at least 90 credits.

23/03/2023 More Inforamtion