Program Director BSc AI & Sustainable Technologies, Professor of AI & Technology

Prof. Dr. Sinem Solak

Sinem combines academic research and startup experience to explore ethical, real-world applications of AI—particularly in healthtech and inclusive innovation. At Tomorrow University, she inspires learners to build purposeful, impact-driven technologies.

Biography

Dr. Sinem Solak is Professor of Technology & AI at Tomorrow University of Applied Sciences. With a PhD in Electronics and Communication Engineering, she brings a unique blend of academic research, startup leadership, and applied AI experience across healthcare, hiring, and social impact sectors. Sinem is passionate about empowering learners to develop ethical, inclusive, and purpose-driven technologies. Her work at Tomorrow University focuses on inspiring critical thinking and real-world innovation through technology.

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Previously Worked At

Regent College London, Hirehoot, Stealth Mode Biotechnology Company, Study Group, University of Sussex, Conception X, Bogazici University, AIR Telekmünikasyon Çözümleri, Yıldız Teknik Üniversitesi and Turkcell

Research Profile

Sinem’s research explores the intersection of intelligent systems, signal processing, and applied AI. Her doctoral work focused on nano-sensor networks, and she has since led interdisciplinary projects involving AI-powered drug delivery systems and inclusive technology solutions. She has contributed to deep-tech startups and secured competitive research funding to support ethical innovation in healthtech and education. Sinem’s research aims to make technology more impactful, human-centered, and accessible across diverse communities.

Papers

S. Solak and M. Öner, "Sequential Decision Fusion for Abnormality Detection via Diffusive Molecular Communications," in IEEE Communications Letters, vol. 25, no. 3, pp. 825-829, March 2021, doi: 10.1109/LCOMM.2020.3040146.
keywords: {Sensors;Delays;Nanoscale devices;Task analysis;Sensor fusion;Receivers;Sensor phenomena and characterization;Molecular communications;distributed detection;nanoscale sensor networks},

S. N. Solak and M. Oner, "Neural Network Based Decision Fusion for Abnormality Detection via Molecular Communications," 2020 IEEE Workshop on Signal Processing Systems (SiPS), Coimbra, Portugal, 2020, pp. 1-5, doi: 10.1109/SiPS50750.2020.9195212. keywords: {Channel models;Task analysis;Sensor phenomena and characterization;Training;Artificial neural networks;Nanoscale devices;deep learning;molecular communication;distributed detection;sensor networks},

‍RNN based abnormality detection with nanoscale sensor networks using molecular communications

Split-ring resonator-based sensors on flexible substrates for glaucoma monitoring

SAR imaging techniques for ground penetrating impulse radar

Professional Community Services

Membership

Reviewing

Program committee memberships and chairing

Judging & mentoring in competitions

Thesis Supervised

Title of the Thesis

First & Last Name

Impact Master of Science

Konrad joined Tomorrow University to pivot from corporate leadership into purpose-driven impact. Through the MBA, he deepened his expertise in tech and sustainability while gaining the confidence to embrace a new mission: amplifying change through strategy and storytelling. His journey includes launching the SDG Ambition Guide and producing films that inspire climate action.

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Teaching at Tomorrow University

Programs

Skills You Can Learn

Foundation Computing

Foundation Mathematics

Human Computer Interaction Web Technologies

Machine Fundamentals

Electronic Circuits and Components

Creative Engineering

Programming Lab

Electrical Circuits and Devices

Core Physics

Physics Lab

Electromagnetism and Introduction to Electrical Machines

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