Qualification Highlights
Expert in Python (NumPy, SciPy, Matplotlib, Pandas, Scikit-Learn, TensorFlow), Matlab, Linux, Android
Patented research that led to commercially sold licenses
Research experience in AI, Machine Learning, Speech and Audio Signal Processing, Big Data, Data Analytics
Publication record including journal articles, conference listings, published chapters, books, monographs
Industry experience with connected devices, multimedia and internet related technologies
Current Academic Positions
Professor and Academic Head in Big Data and AI
Professor and Member of Dissertation Committee
Languages
Professional Memberships
Education
Ph.D. in Electrical and Computer Engineering
M.S. in Music Engineering Technology
M.S. in Electrical Engineering
Associate Degree in Multimedia Technologies
Fellowships
- Fellowship from the Provost at University of Miami, Florida, USA, May.2006
- Senator of the Graduate Student Association, University of Miami, Florida, USA, 2007-2009
- Audio Engineering Society (AES) Educational Foundation Stipend, Jul.1998-1999
Patents
Awards & Honors
- Best paper award "Crystal Cube Prize The Best Paper" at the 22nd International Conference on Computer Systems and Technologies CompSysTech'21, Ruse, Bulgaria
- Best paper award "Crystal Cube Prize The Best Paper" at the 18th International Conference on Computer Systems and Technologies CompSysTech'17, Ruse, Bulgaria, June.22-24.2017
- Honor Society "Eta Kappa Nu", University of Miami, Florida, USA, Nov.2006
- Best Attendance Award - UM, University of Miami, Florida, USA, Jun-Dec.2003
- Best Attendance Award - UM, University of Miami, Florida, USA, Jan-Jun.2004
Professional Experience
Professor
- Professor at the International Postgraduate School
- Member of Dissertation Committee at the School of Economics and Business Management
- Academic Head of the Big Data and AI program
- Master's thesis supervisor
- Teaching: Machine Learning, AI Use Cases, Python Programming for AI, Big Data and Cyber Security
- Research in Big Data and AI areas
- Associate Professor at Software Engineering and Information Systems Dept
- Research in AI and Smart Systems through Speech and Audio Signals
- Applied Python and Android Development
- Teaching Scientific Computing and Machine Learning courses in the Data Science program
- Lecturer at College of Engineering (July 2022 - 2024)
- Teaching Python for Analytics
- Lecturer at School of Information (Aug 2018 - July 2019)
- Teaching Machine Learning for the MIDS program
Assistant Professor
- Teaching various courses in the Data Analytics program
- Research in Personalization using Speech and Audio Signals related to Big Data Analytics
- Academic advisor
Software Engineer
- Research in Digital Right Management (DRM) field using Audio Watermarking
- Research in Emotion Recognition in Digital Speech
- Designed C++ based application for parsing and compiling of novel programming platform
Lead Researcher
Co-Founder
Python Consultant, Lecturer
VP/Director of Internet Business Unit
Product Manager
Consulting Scientist
- Contributed in product development based on research titled 'Auxiliary Channel Masking...'
- Actively involved in strategy improvement decisions
Teaching Experience
Professor
- Machine Learning
- AI Use Cases
- Python for Scientific Computing
- Scientific Work
- Master Thesis advisor
Lead Instructor
- Machine Learning and Deep Learning
- Introduction to Data Science
- Python for Data Analysis
- Applied Machine Learning (W207)
Assistant Professor
- Programming for Data Analytics
- Android Development
- Data Mining
- Web Development I
- Machine Learning
Lecturer
- Architectural Acoustics
- Advanced Audio Production for Film and Video
Service & Committees
- Awards and Scholarships Committee Chair - Univ of Wisconsin Stevens Point (2017-2019)
- Student Advising - SRH Berlin University (2020-Current)
- Thesis Committee and Supervisor
- Community Lecture Series, Portage County Public Library (2018)
- Wausau Police Department - Data Analysis and Solutions (2017)
Intelligent EnterprAIse Summit — Sofia 2026
A forum bringing together business leaders, innovators and AI experts to shape the intelligent enterprise. Program Committee Chair & Editor, and opening keynote speaker: “Beyond Generative AI: The Rise of Agentic Intelligence in the Enterprise”.
Visit Summit Website →Research Projects & Grants
OpenAIRE Advance
National Initiatives for Open Science in Europe (NI4OS-Europe)
H2020 Cross4Health
Publications
CONSULTING
Strategic AI Advisory & Intelligent Systems Architecture
Alexander Iliev, Ph.D.
With over two decades of international experience across the United States and Europe, I advise enterprises, research institutions, and innovation-driven organizations on the design and deployment of advanced Artificial Intelligence systems.
My work integrates deep scientific research, patented psychoacoustic technologies with commercially licensed solutions, and large-scale AI architectures deployed across academic, industrial, and EU-funded initiatives.
I operate at the intersection of:
- Artificial Intelligence
- Machine Learning & Deep Learning
- Intelligent Agent Architectures
- Data Analytics & Big Data Systems
- Acoustics & Psychoacoustics
The focus is not experimentation — it is deployable intelligence.
DNASound
AI Agents | Unified Sensory Intelligence
DNASound is my applied AI venture dedicated to building next-generation intelligent systems.
The mission of DNASound is Unified Sensory Intelligence — designing AI architectures that integrate perception, reasoning, signal processing, and decision-making into cohesive, production-ready systems.
DNASound focuses on:
- Enterprise AI Agent Development
- Multi-modal Intelligence Systems
- Advanced Machine Learning Architectures
- Sensory Data Processing (Audio, Speech, Behavioral Signals)
- Intelligent System Orchestration
The dedicated platform for DNASound will be available soon at: www.dnasound.com
Core Consulting Domains
1. AI Agent Architecture & Autonomous Systems
Design and deployment of enterprise-grade AI agents and decision systems, including:
- Retrieval-Augmented Generation (RAG) systems
- Domain-specific LLM integration
- Secure enterprise knowledge agents
- Autonomous workflow orchestration
- Agent-based automation pipelines
- Multi-agent system design
Focus: scalable, secure, business-aligned architectures.
2. Machine Learning & Advanced Modeling
Strategic and technical guidance in:
- Predictive modeling & forecasting systems
- Deep learning architectures (CNNs, transformers, hybrid models)
- Explainable AI (XAI) frameworks
- Bias detection & mitigation
- Production ML pipelines
- Research-to-deployment transitions
Focus: measurable performance and long-term maintainability.
3. Data Strategy & Intelligent Infrastructure
End-to-end data architecture consulting:
- Big Data processing systems
- Scalable AI infrastructure design
- Feature engineering & signal modeling
- Personalization engines
- Behavioral analytics systems
- Decision-support platforms
Focus: turning complex data ecosystems into strategic assets.
4. Acoustics, Psychoacoustics & AI-Driven Signal Systems
Based on patented research and peer-reviewed scientific contributions:
- Speech analysis & emotion recognition systems
- Audio watermarking & data hiding
- Psychoacoustic modeling
- Perceptual AI systems
- Sensory intelligence design
Focus: scientifically grounded signal intelligence with commercial viability.
Engagement Models
Consulting engagements may include:
- Executive-level AI strategy advisory
- System architecture design
- Enterprise AI roadmap development
- Technical due diligence
- Prototype design & validation
- Innovation & patent strategy consulting
- Research collaboration structuring
Engagements are tailored for organizations seeking long-term AI capability — not one-off experimentation.
Consulting Philosophy
My approach combines:
- Scientific rigor
- Engineering discipline
- Ethical AI standards
- Scalable system thinking
- Cross-domain integration
Every engagement is built around one principle:
Intelligence must be engineered — not improvised.
Contact
For strategic advisory, enterprise collaboration, or system architecture onsulting inquiries, please reach out directly.