• Computational intelligence
• intelligent control
• data mining
• modern heuristics

Miloš Manić, (pronounced: Mi'losh Mah'nitɕ), is an assistant professor in the Computer Science Department, is an adjunct faculty member in the Electrical and Computer Engineering (ECE) program and the Neuroscience program, and is the program director for the CS and ECE programs in Idaho Falls.

In search of academic advancements and fresh powder, he has stayed at the same latitude north of 43°. He moved from his birthplace, City of Fairies (Naissus, Latin name for Niš), to the City of Trees (Boise), only to end up in a city with one of the highest ratios of PhD's per capita in the nation, the City of Falls (Idaho Falls), where he currently enjoys research, teaching, playing jazz and volunteering for the national ski patrol.

Miloš received his Ph.D. degree in Computer Science from the University of Idaho, and M.S. and a Dipl.Ing. in Electrical Engineering and Computer Science from the University of Niš, Faculty of Electronic Engineering, Serbia.

He is an active member of one of the most international of IEEE Societies, the Industrial Electronics Society (IES).  As an IEEE Senior Member, he is the Chair of the IES TCFA Computational Intelligence Subcommittee, and member of the IES Web and Information, Conference Board, and Technical Committee. Miloš is also Chair of the Eastern Idaho IEEE Section Gold and an executive committee member.  Currently, he is a guest editor for the IEEE Transactions on Industrial Electronics, and a track or session Co-Chair at several IEEE conferences (ETFA08, IECON08, ICIEA08, HSI08). 

Miloš works in the area of computational intelligence, focusing on neural networks and fuzzy logic.  He has been an NSF invited review panelist, a NSERC invited technical reviewer, an Idaho National Laboratory external technical reviewer, and an invited reviewer for IEEE Transactions on Fuzzy Systems, Neural Networks, and Industrial Informatics, as well as other journals and conferences.  He has published over 60 refereed articles in international journals and conferences.

• Ridluan, A., Tokuhiro, A., Manic, M., Patterson, M., Danchus, W., "Consideration of a Design Optimization Method for Advanced Nuclear Power Plant Thermal-Hydraulic Components", The 13th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-13), Kanazawa City, Ishikawa Prefecture, Japan, September 27-October 2, 2009.
• Wright, L.J., Manic, M., “Neural Network Approach to Locating Cryptography in Object Code”, 14th IEEE Conference on Emerging Technologies and Factory Automation, ETFA’09, Sep. 22-25, 2009, Mallorca, Spain (pdf ).
• Hauser, G., Manic, M., “Neural Network Real Time Video Processor for Early Aircraft Detection”, 14th IEEE Conference on Emerging Technologies and Factory Automation, ETFA’09, Sep. 22-25, 2009, Mallorca, Spain (pdf ).
• Vollmer, T., Manic, M., “Computationally Efficient Neural Network Intrusion Security Awareness”, IEEE ISRCS’09, the 2nd IEEE Symposium on Resilience Control Systems, Idaho Falls, Idaho, Aug. 11-13, 2009 (pdf ).

• University Partner, “Control System Data Fusion”, Laboratory Directed Research and Development (LDRD) between Idaho National Laboratory and UIIF. We are investigating data fusion techniques in control systems including cyber, physical security, and process control. (Feb. 09-Sep. 09, total grant funding of $1,275M).
• University Partner, “Resilient Control System Network Agents”, Laboratory Directed Research and Development (LDRD) between Idaho National Laboratory and UIIF. We are investigating computational intelligence techniques in resilient control network agents. (Jun.08-Sep.10, total grant funding of $500K).
• Co-Pi, “University of Idaho Sustainable Idaho Greening the Curriculum Proposal, Course Number(s) and Name(s): 204X - Introduction to Energy and Technology; 404XX- Energy, Sustainability and Modeling; 504XXX- Advanced Computational Intelligence Modeling Heuristics of Energy and Sustainability Issues”, (Sep.08-Aug.08, total grant funding of 3k).
• Co-PI, "A Fuzzy Approach for Bluetooth Intrusion Detection on Mobile Devices", Laboratory Directed Research and Development (LDRD) between Idaho National Laboratory and UIIF. We are investigating fuzzy/neural controller approach in intrusion detection of wireless devices (Nov.2006-Oct.2007, total grant funding $272k).