KUSRP Lise Programı Özellikleri
Öğrenciler, bağımsız düşünebilme ve yaratıcılık yeteneklerini geliştirerek; yeni araştırma teknikleri ve konu kapsamları ile tanışma fırsatı yakalayacaklardır.
Öğrencilerin akademik yönden başarılı olup, iyi derecede İngilizce bilgisine sahip olması gerekmektedir.
Lise Programımıza 9, 10, 11 ve 12. sınıf öğrencileri başvurabilirler.
Program tamamen ücretsizdir.
2024 Lise Yaz Araştırma Programımızda konaklama ve ulaşım imkanı bulunmamaktadır.
Programı başarıyla tamamlayan öğrencilere katılım sertifikası verilmektedir.
Program tarihleri proje bazında değişiklik gösterecektir. Kabul alan öğrencilere program tarihleri iletilecektir.
Tüm sorularınız için bize email ile ulaşabilirsiniz. vpri@ku.edu.tr
| Department | Name and Last Name | Project Title (in English) | Research Center or Lab Affiliated (if applicable) | Dates (Expected start and end date) | Can the students participate online? | Specific Requirements (if any) | Project Description (in English) |
| Chemical and Biological Engineering | Özlem Keskin Özkaya | Computational drug design | COSBI | July 15-Aug 1, 2024 | Yes | Drugs perform their action by binding proteins/DNA. There finding which drug can bind to which protein is a critical step in drug design. The student will learn to use a docking tool to score molecules that can bind to a protein of interest. The student will learn how to visualize the protein structure and the drug molecule. | |
| Computer Engineering | Aykut Erdem | Developing Medicine Large Language Models for | KUIS AI Center | 01.07.2024 – 15.08.2024 | Yes | A good background on deep learning | This summer research project aims to pioneer the development of large language models tailored for the medical domain. Participants will engage in cutting-edge methodologies in natural language processing (NLP) and deep learning, in particular in the area of large language models. |
| Computer Engineering | Aykut Erdem | Developing Medicine Large Language Models for | KUIS AI Center | 01.07.2024 – 15.08.2024 | Yes | A good background on deep learning | This summer research project aims to pioneer the development of large language models tailored for the medical domain. Participants will engage in cutting-edge methodologies in natural language processing (NLP) and deep learning, in particular in the area of large language models. |
| Computer Science and Engineering | Öznur Özkasap | Blockchain for Decentralized Healthcare Systems | Distributed Systems and Reliable Networks Research Lab | TBA | No | Preferably junior/senior students in Computer Engineering or Computer Science. Excellent programming skills and Computer Networks background. |
This project addresses usage of blockchain and key distributed system technologies in decentralized healthcare systems.The aim is to classify the existing solutions in the literature and develop a prototype decentralized healthcare system implementation using blockchain. |
| Media and Visual Arts | ILGIM VERYERİ ALACA | 1-CONTEMPORARY TRENDS IN ILLUSTRATION. 2-CONTEMPORARY CHILDREN’S BOOKS | ARTISTIC RESEARCH STUDIO(https://kuarc.ku.edu.tr/) & PICTUREBOOK STUDIES(https://kure.ku.edu.tr/) | JULY 2024 | Yes | DETAILED CV, TRANSCRIPT & GPA(LİSE İÇİN KARNE OLABİLİR, (OPTIONAL: PORTFOLIO), ENGLISH FLUENCY | 1-CONTEMPORARY TRENDS IN ILLUSTRATION: THE PROJECT FOCUS ON EVALUATING NEW WORK IN ILLUSTRATION STUDIES. 2-CONTEMPORARY CHILDREN’S BOOKS-EVALUATING NEW TRENDS IN CHILDREN’S BOOKS. |
| Mechanical Engineering | Erdem Alaca | MEMS Flow Sensor | Mechanical Characterization Lab (MCL): mcl.ku.edu.tr | July 1 – July 31 | No | The technology of micro- and nanoelectromechanical systems (M/NEMS) enables the creation of small force sensors that accurately measure forces in the micro-newton and sub-micro-newton ranges. Piezoresistive sensors have gained popularity due to their relative immunity to electrostatic forces, simple read-out circuitry, lower noise, ease of scaling up and integration, and potential for miniaturization. The fabricated NEMS force sensor uses piezoresistive silicon nanowires to detect multi-axis forces in the micro-newton range. Through an Arduino-based setup, we will explore the flow-sensing capabilities of these sensors, characterizing them through current-voltage measurements and analyzing their electromechanical and thermal behavior. | |
| Mechanical Engineering | B. Erdem Alaca | Mechanics of Soft Matter | Mechanical Characterization Lab (MCL): mcl.ku.edu.tr | July 1 – July 31 | No | Mechanical material characterization is of paramount importance in scientific and engineering domains. While extensive research has addressed the mechanics of rigid materials, such as metals exhibiting minimal deformation under moderate loads, there is a significant research gap concerning soft materials, which undergo substantial deformation under delicate loading conditions. Precise measurement of minute loads in such materials necessitates the utilization of highly sensitive force sensors. Moreover, securing soft materials within grips poses challenges due to their delicate nature. This study proposes employing digital image correlation, a sophisticated technique for analyzing local strains from sample images coupled with sensitive force sensing, to understand the mechanics of soft materials comprehensively. | |
| Mechanical Engineering | Ismail Lazoglu | Advanced Manufacturing Technology | Manufacturing and Automation Research Center | will be determined later | No | Computer Aided Design, Computer Aided Manufacturing, CNC, Machining, Additive Manufacturing | |
| Mechanical Engineering | Ismail Lazoglu | Mechatronics/Robotics/Automation | Manufacturing and Automation Research Center | will be determined later | No | Mechatronics/Robotics/Automation | |
| Mechanical Engineering | Ismail Lazoglu | Medical Systems/Artificial Organs/Implants | Manufacturing and Automation Research Center | will be determined later | No | Design and Development of Medical Systems/Artificial Organs/Implants | |
| Molecular Biology and Genetics | Elif Nur Firat Karalar | Purification and characterization of a microtubule-associated protein linked to genetic diseases | Cytoskeleton Research Laboratory | 45458 | No | Microtubule-associated proteins bind to microtubules to assemble diverse microtubule arrays ranging from the mitotic spindle to the primary cilium. These microtubule arrays carry out vital cellular processes. Therefore, their deregulation is linked to diseases such as cancer and rare developmental disorder. In this project, the student will clone a gene that is predicted to bind to microtubules into a bacterial expression vector. Following cloning, he/she will purify the protein and characterize it using in vitro assays under supervision of a PhD student. | |
| Molecular Biology and Genetics | Halil Kavaklı | Drug discovery against clock related diseases | Biotechnology and Circadian Clock LAB | 01.07.2024-18.082024 | No | The circadian rhythms are physiological, biochemical, and behavioral oscillations that cycle every 24 hours to anticipate the daily changes in the external environment. Disruption of the circadian clock in mammals results in increased susceptibility to different types of diseases such as metabolic, mood and sleep disorders and cancer. To this end, different approaches have been taken to find small molecules that have the potential to correct the disrupted circadian clock. We are currently identifying novel molecules that regulate the activities of the core clock proteins to treat cancer. | |
| Molecular Biology and Genetics | İsmail K. Sağlam | Evolutionary genetics of environmental change and adaptation | Biodiversity and Evolutionary Genetics Laboratory | No | Students will be conducting genetic research on changes that promote adaptation of organisms to environmental change | ||
| Optic MEMS Laboratory | Hakan Ürey | Augmented and Virtual Reality | Optic MEMS Laboratory | 01/07/2024-26/072024 | Yes | Augmented and Virtual Reality This program provides participants with the opportunity to engage in virtual/augmented reality technology. Students are expected to apply science and technology knowledge in a real-life AR/VR project. Participants will work together on projects that simulate real-world situations and limitations. Essential project management such as development, design, implementation, teamwork, communication and presentation skills are required for program completion. Development, design, implementation, and management of a project in teams under realistic constraints and conditions. Upon completion of the program, attending participants will be able to: ● Follow a process and solve a real-life engineering problem. ● Design a system or algorithm to meet defined functional requirements. ● Practice group dynamics and team building. ● Follow a project plan for completing and managing a project. ● Test and troubleshooting of a system, script, and algorithm. ● Demonstrate the functionality and operation of their project for a general audience. |
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| Robotics and Mechatronics Laboratory, College of Engineering | Cagatay Basdogan | Haptic Vest for Indoor Navigation of Blind People | Robotics and Mechatronics Laboratory, College of Engineering | June 25-July 25 | No | Good programming skills | A haptic vest designed for indoor navigation of blind people would utilize tactile feedback to guide users through environments without the need for sight. This technology would convert spatial information into touch-based signals that the wearer can understand, enabling them to navigate around obstacles, through doorways, and towards destinations within buildings. |
| School of Medicine | Tamer Onder | Reprogramming, Stem cells, epigenetics | KUTTAM | June-July | No | The Stem Cell Laboratory at KUTTAM (https://scl.ku.edu.tr/) studies the molecular mechanisms of cellular reprogramming. Reprogramming of differentiated cells, such as skin cells, to induced pluripotent stem cells (iPSCs) has revolutionized the field of stem cell biology and greatly increased the opportunities for disease modeling and cell-based regenerative therapies. While iPSCs offer tremendous potential, a number of technical challenges remain in the generation of iPSCs that hamper their use in clinical settings. A comprehensive understanding of the molecular mechanisms of cellular reprogramming is essential for devising methods to overcome these challenges. Our research is aimed at understanding the molecular mechanisms of reprogramming and identifying genes that are important for iPSC generation. Specifically, we utilize forward genetics tools such as CRISPR-Cas9 technology and chemical screens using small molecule inhibitors to identify the role chromatin modifying enzymes play during reprogramming. |