A short bio:
Sercan Aygun holds a B.Sc. degree in Electrical & Electronics Engineering and a double major in Computer Engineering from Eskisehir Osmangazi University, Turkey, which he received in 2013. He then went on to obtain an M.Sc. degree in Electronics Engineering from Istanbul Technical University in 2015, and a second M.Sc. degree in Computer Engineering from Anadolu University in 2016. In 2022, Sercan earned his Ph.D. in Electronics Engineering from Istanbul Technical University. Currently, Sercan is a postdoctoral research scientist at the Emerging Computing Technologies Lab. at the University of Louisiana at Lafayette, led by Professor M. Hassan Najafi. Prior to this, he gained 9 years of experience in teaching and research at Yildiz Technical University's Computer Engineering Department. Sercan's research interests encompass a range of topics, including Stochastic Computing, Unary Processing, Hyperdimensional Computing, and Vision & Learning Machines. He is particularly interested in applying these techniques to Agricultural Data Processing, Biometrics, and Recommender Systems.
Current Affiliation: Research Scientist at University of Louisiana at Lafayette, USA
301 E. Lewis St., James R. Oliver Hall, Room 235, Lafayette, LA 70503, USA
e-mail: sercan.aygun@louisiana.edu
Research Interests:
Stochastic Computing (SC)
-my PhD-
Hyperdimensional Computing (HDC) -my PostDoc-
Embedded Systems & Hardware Design
Biometric Systems & Sensor-of-Things
Recommendation Systems
Achievements:
2023 - Innovation and Creativity Awards by Turkish Electronic Manufacturers Association (TESID), The Best Scientific Application Ph.D. Award in University-Industry Collaboration
Selected as a MLCommons Rising Star (link).
2023 - First Place Best Paper in GLSVLSI'23 Conference in Knoxville, TN, USA
2023 - One of the 3 Best Reviewers in 2022 of IEEE Journal on Emerging and Selected Topics in Circuits and Systems
2023 - Travel Grant for the Design, Automation and Test in Europe Conference (DATE) - Ph.D. Forum
2022 - ACM Travel Grant for Design Automation Conference (DAC) - Ph.D. Forum
2021 - 2022 Research Visit - USA, University of Louisiana Lafayette (project support from link)
2018 - 2019 Visiting Ph.D. Student - Belgium, Université Catholique de Louvain (Istanbul Tech. Uni - Erasmus+ Grant)
2016 - Best Paper Award - 4th International Symposium on Digital Forensic and Security (ISDFS), (with IEEE travel grant)
2016 - Best Poster Award VIII. International Conference on Information Security and Cryptology, Little Rock, USA
News:
[Apr'24] I became a member of the Organizing Committee of MLCommons Rising Stars 2024 event.
[Apr'24] Our paper has been accepted to GLSVLSI'24.
[Mar'24] Our paper has been accepted to Design Automation Conference (DAC'24).
[Mar'24] Our paper has been accepted to the Neuro-Inspired Computational Elements NICE'2024 Conference.
[Mar'24] Two papers have been accepted to the 2nd Workshop on Unary Computing (WUC 2024) in conjunction with ASPLOS'24.
[Mar'24] Our student Jonas Schmidt won the Leaf Award of the University of Louisiana at Lafayette.
[Feb'24] Invited as a TPC for GLSVLSI'24 Conference.
[Feb'24] Invited as a session co-chair for DAC'24 Conference.
[Jan'24] Invited as a TPC for the 2nd Workshop on Unary Computing (WUC) in conjunction with ASPLOS'24.
[Jan'24] Our paper has been accepted to be published in IEEE Transactions on Nanotechnology.
[Jan'24] I have been elected as a secretary for the IEEE Lafayette Computer Chapter.
[Dec'23] My dissertation was accepted for Ph.D. Forum in ASP-DAC'24.
[Nov'23] One paper has been accepted to DATE'24.
[Oct'23] Two papers have been accepted to NANOARCH'23.
[Sep'23] Our paper has been accepted to be published in IEEE Embedded Systems Letters.
[Sep'23] The Best Scientific Application Ph.D. Award was received.
[Sep'23] I have been selected as a finalist for the Best Ph.D. Thesis Award by Turkish Electronic Manufacturers Association.
[Sep'23] Our paper has been accepted in ASP-DAC'24.
[Aug'23] Research work presented in MLCommons Rising Stars event @Google.
[Aug'23] One patent has been filed.
[Jul'23] Two patents have been filed.
[Jul'23] Research Funding Award from Louisiana Space and Sea Grant to our research group ($4,000) for student (Jonas I Schmidt) that I work with (Project PI: Prof. M. Hassan Najafi) Project Name: "Emerging Computing for Underwater Image Processing" link
[Jul'23] Our paper "No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices" was accepted in ESWEEK'23 conference and will be published in IEEE Embedded Systems Letters.
[Jul'23] Our paper "Hardware-Software Co-optimization of Long-Latency Stochastic Computing" was accepted in ESWEEK'23 conference and will be published in IEEE Embedded Systems Letters.
[Jun'23] Our paper (Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines) was selected as First Place Best Paper in GLSVLSI'23 Conference in Knoxville, TN, USA. link, award ceremony
[May'23] I was selected for the program Machine Learning and Systems Rising Stars 2023 (Acc. Rate: <35%) organized by MLCommons.
[Apr'23] Our paper (Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines) has been nominated as best paper in GLSVLSI'23 Conference in Knoxville, TN, USA.
[Apr'23] I was selected as one of the three best Reviewers of 2022 in IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[Apr'23] I am invited to serve as a TPC member for ASSYST Workshop in ISCA'23.
[Mar'23] Two papers were accepted to GLSVLSI'23.
[Mar'23] I have received a travel grant for the DATE'23 PhD Forum.
[Feb'23] Our paper "Stochastic Computing Design and Implementation of a Sound Source Localization System" was accepted for publication in IEEE JETCAS.
[Jan'23] Our paper "Agile Simulation of Stochastic Computing Image Processing with Contingency Tables" was accepted for publication in IEEE TCAD.
[Jan'23] Our paper "A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding" was accepted to DATE'23.
[Dec'22] Our paper "Time-Bin-Based Neighbourhood Algorithm for Temporal Effects in Recommendation Systems" was published in TV-TG Technical Gazette.
[Nov'22] I have successfully defended my Ph.D.: Stochastic Bitstream-Based Vision and Learning Machines.
[Oct'22] I have presented my doctoral research in ESWEEK'22 Ph.D. Forum.
[Oct'22] I have attended ACM SIGBED Student Research Competition in ESWEEK'22 and receipt Best Scientific Research Award based on my doctoral research.
[Oct'22] I have attended ACM SIGDA Student Research Competition in ICCAD'22.
[Oct'22] I have attended Ph.D. Forum in ESWEEK'22.
[Jul'22] I have attended PhD. Forum of DAC'22 (with ACM Travel Grant).