Prof. Benfano Soewito, M.Sc., Ph.D. | Guru Besar
Guru Besar

Prof. Benfano Soewito, M.Sc., Ph.D.

ABOUT

Prof. Benfano Soewito, M.Sc., Ph.D.

Prof. Benfano Soewito, M.Sc., Ph.D merupakan Guru Besar Tetap ke-dua puluh empat yang dikukuhkan BINUS UNIVERSITY. Beliau lahir di Bandung, 28 Oktober 1965, merupakan anak pertama dari 4 bersaudara. Beliau memperoleh gelar Ph.D. dan Master of Science dari Southern Illinois University, Carbondale setelah mendapatkan gelar sarjana dari Universitas Airlangga. Beliau memiliki minat yang tinggi terhadap penelitian dalam ilmu komputer dengan minat khusus pada teknologi informasi, termasuk Internet processing and scanning, router development serta security and computer network. Saat ini Beliau tergabung sebagai Faculty Member di BINUS Graduate Program.
Prof. Benfano Soewito, M.Sc., Ph.D.

Orasi Ilmiah

Shifting Mindset: Paradigma Baru Untuk Menghadapi Serangan Siber di Era Society 5.0

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Profile & Qualification

Education

Southern Illinois University, Carbondale
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering · (2005 – 2009)

Southern Illinois University, Carbondale
Master of Science (M.Sc.), Electrical and ComputerEngineering · (2002 – 2004)

Universitas Airlangga
Bachelor of Science (B.Sc.), Physic

PROFESSIONAL DESIGNATION

BINA NUSANTARA University
Lecturer
July 2013 – Present (10 years 1 month)

BINUS UNIVERSITY
Lecturer
June 2010 – Present (13 years 2 months)
Part time lecturer in Master Information Technology, Graduate Program (S2) Conducted the subject lectures: IT Risk Management and DisasterRecovery, Research Methodology.

Swiss German University
Lecturer
September 2012 – September 2013 (1 year 1 month)
BSD City, Tangerang
Part time lecturer in Master Information Technology, Graduate Program (S2) Conducted the subject lectures: Ethical Hacking and Incident Handling

Bakrie University
Lecturer
June 2010 – July 2013 (3 years 2 months)

Certifications

Certified Ethical Hacking

Publications

High-speed String Matching for Network Intrusion Detection

Hybrid Pattern Matching for Trusted Network Intrusion Detection

Evaluating DNA Sequence Searching Algorithms on Multi-core

Self Addressable Memory-based FSM (SAM-FSM): A Scalable Intrusion Detection Engine

Concurrent Workload Mapping for Multicore Security Systems

Buku

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Testimonial

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