I. Basic Personal Information 

Name: Fei GAO

Gender: Male

Professional Title/Position: Full Professor/ Marie Curie Fellow

Degree/Education: Ph.D. / Postgraduate 

Master’s/Doctoral Supervisor: Masters’ Supervisor 

Department: Dep. of Mathematics, School of Mathematics and Statistics, Wuhan University of Technology

Research Interests: Fractional-order systems, big data analysis, neural networks, machine learning, swarm intelligence algorithms, etc. 

E-mail: gaof@whut.edu.cn

Personal Homepage:https://orcid.org/0000-0003-2266-7263

II. Educational Background and Work Experience

Dr. Gao Fei is a Professor of Applied Mathematics at Wuhan University of Technology (since September 2013), a Marie Curie Fellow, and a Master's Supervisor. He has completed two postdoctoral fellowships, including one overseas. His research focuses on neural networks, machine learning, fractional-order systems, swarm intelligence algorithms, big data analysis, and their applications to various practical problems.

(1) Educational Background: 

2003.09–2006.06, Wuhan University of Technology, Fluid Mechanics, Ph.D.

1999.09–2002.06, Wuhan University, Applied Mathematics, Master’s

June 1999, B.S. in Science, School of Mathematics and Computer Science, Wuhan University

(2) Work Experience: 

2024.06–present, Wuhan University of Technology, School of Mathematics and Statistics, Professor

2013/09–2024.05, Wuhan University of Technology, School of Science, Department of Mathematics, Professor

2011/11–2012/10, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology, Mathematics and Electrical Engineering, Marie Curie Postdoctoral Fellow (funded by the EU Marie Curie COFUND Programme)

2008/03–2009/03, Korea Advanced Institute of Science and Technology (KAIST), Department of Electrical Engineering, Postdoctoral Fellow (funded by the Brain Korea 21 (BK21) Program)

2007/12–2013/09, Wuhan University of Technology, School of Science, Department of Mathematics, Associate Professor

2006/11–2009/07, Wuhan University of Technology, School of Architecture, Postdoctoral Fellow

2004/11–2007/11, Wuhan University of Technology, School of Science, Department of Mathematics, Lecturer

III. Teaching

Instructor of the National Excellent Course “Economic Mathematics – Advanced Mathematics B”. Since 2002, she/he has been teaching and researching Advanced Mathematics A and B (including bilingual and English-only instruction), Calculus, Probability and Statistics, Linear Algebra, Complex Functions and Integral Transforms, Optimization Theory and Methods, Ordinary Differential Equations, Numerical Computation, etc.

IV. Scientific Research 

(1) Research Projects: 

Natural Science Foundation of Hubei Province, No. 2014CFB865, Research on Non-Lyapunov Reconstruction of Fractional-order Hyperchaos, Jan 2015 - Dec 2016, ***, Completed, Principal Investigator (PI).

Major Research Plan of the National Natural Science Foundation of China, No. 91324201, Laws and Mechanisms of Psychological and Behavioral Changes of Social Groups under Unconventional Emergencies, Jan 2014 - Dec 2016, ***, Completed, Participant.

Marie COFUND Program of the European Commission - ABCDE Project, EU Grant No. 246016, Mathematical Analysis on Bio-inspired Communication Network Theory, Nov 2011 - Oct 2012, EUR ***, Completed, Principal Investigator (PI).

Scientific Research Foundation for Returned Overseas Chinese Scholars, Ministry of Education of China, No. 20111j0032, Research on Non-Lyapunov Analysis Method Based on Quantum Bacterial Chemotaxis Algorithm, Jun 2010 - Dec 2011, RMB  ***, Completed, Principal Investigator (PI).

(2) Academic Publications (60+): 

（2.1） From Year 2024 till now

［1］ Xu　Y，　Gao　F．　A　novel　higher－order　Deffuant–Weisbuch　networks　model　incorporating　the　Susceptible　Infected　Recovered　framework［J］．　Chaos，　Solitons　＆　Fractals，　2024，　182：　114778．

［2］  Xie　X，　Gao　F．　The　Delayed　Effect　of　Multiplicative　Noise　on　the　Blow－Up　for　a　Class　of　Fractional　Stochastic　Differential　Equations［J］．　Fractal　and　Fractional，　2024，　8（3）：　127．

［3］  GAO F, GUO L, XIE X, et al. Global existence, uniqueness and $$L^{\infty }$$-bound of weak solutions of fractional time-space Keller-Segel system [J]. Fractional Calculus and Applied Analysis, 2025, 28(1): 232–75.

（2.2） Before year 2024

［1］ 　ZHANG　M，　GAO　F，　YANG　W，　ZHANG　H．　Wildlife　Object　Detection　Method　Applying　Segmentation　Gradient　Flow　and　Feature　Dimensionality　Reduction　［J］．　Electronics，　2023，　12（2）．

［2］ 　ZHANG　M，　GAO　F，　YANG　W，　ZHANG　H．　Real－Time　Target　Detection　System　for　Animals　Based　on　Self－Attention　Improvement　and　Feature　Extraction　Optimization　［J］．　Applied　Sciences－Basel，　2023，　13（6）．

［3］ 　GAO　F，　ZHAN　H．　Boundedness　and　exponential　stabilization　for　time–space　fractional　parabolic–elliptic　Keller–Segel　model　in　higher　dimensions　［J］．　Applied　Mathematics　Letters，　2023，　144：　108699．

［4］ 　GUO　L，　GAO　F，　ZHAN　H．　Existence，　uniqueness　and　L8－bound　for　weak　solutions　of　a　time　fractional　Keller－Segel　system　［J］．　Chaos　Solitons　＆　Fractals，　2022，　160．

［5］ 　ZHOU　X，　GAO　F，　FANG　X，　LAN　Z．　Improved　Bat　Algorithm　for　UAV　Path　Planning　in　Three－Dimensional　Space　［J］．　Ieee　Access，　2021，　9：　20100－16．

［6］ 　GAO　F，　LI　X，　LI　W，　ZHOU　X．　Stability　analysis　of　a　fractional－order　novel　hepatitis　B　virus　model　with　immune　delay　based　on　Caputo－Fabrizio　derivative　［J］．　Chaos　Solitons　＆　Fractals，　2021，　142．

［7］ 　GAO　F，　LI　W－Q，　TONG　H－Q，　LI　X－L．　Chaotic　analysis　of　Atangana－Baleanu　derivative　fractional　order　Willis　aneurysm　system　［J］．　Chinese　Physics　B，　2019，　28（9）．

［8］ 　ZHANG　J，　GAO　F，　CHEN　Y，　et　al．　Parameter　Identification　of　Fractional－order　Chaotic　System　Based　on　Chemical　Reaction　Optimization；　proceedings　of　the　2nd　International　Conference　on　Management　Engineering，　Software　Engineering　and　Service　Sciences　（ICMSS），　Wuhan，　PEOPLES　R　CHINA，　F　2018，　Jan　13－15，　2018　［C］．　2018．

［9］ 　GAO　F，　HU　D－N，　TONG　H－Q，　WANG　C－M．　Chaotic　analysis　of　fractional　Willis　delayed　aneurysm　system　［J］．　Acta　Physica　Sinica，　2018，　67（15）．

［10］　MAO　W，　GAO　F，　DONG　Y，　LI　W．　A　Novel　Paradigm　for　Calculating　Ramsey　Number　via　Artificial　Bee　Colony　Algorithm；　proceedings　of　the　35th　Chinese　Control　Conference　（CCC），　Chengdu，　PEOPLES　R　CHINA，　F　2016，　Jul　27－29，　2016　［C］．　2016．

［11］　GAO　F，　LI　T，　TONG　H－Q，　OU　Z－L．　Chaotic　dynamics　of　the　fractional　Willis　aneurysm　system　and　its　control　［J］．　Acta　Physica　Sinica，　2016，　65（23）．

［12］　GAO　F，　LEE　T，　CAO　W－J，　et　al．　Self－evolution　of　hyper　fractional　order　chaos　driven　by　a　novel　approach　through　genetic　programming　［J］．　Expert　Systems　with　Applications，　2016，　52：　1－15．

［13］　GAO　F，　LEE　X－J，　FEI　F－X，　et　al．　Identification　time－delayed　fractional　order　chaos　with　functional　extrema　model　via　differential　evolution　［J］．　Expert　Systems　with　Applications，　2014，　41（4）：　1601－8．

［14］　GAO　F，　FEI　F－X，　LEE　X－J，　et　al．　Inversion　mechanism　with　functional　extrema　model　for　identification　incommensurate　and　hyper　fractional　chaos　via　differential　evolution　［J］．　Expert　Systems　with　Applications，　2014，　41（4）：　1915－27．

［15］　GAO　F，　LEE　X－J，　TONG　H－Q，　et　al．　Identification　of　Unknown　Parameters　and　Orders　via　Cuckoo　Search　Oriented　Statistically　by　Differential　Evolution　for　Noncommensurate　Fractional－Order　Chaotic　Systems　［J］．　Abstract　and　Applied　Analysis，　2013．

［16］　GAO　F，　LEE　X－J，　FEI　F－X，　et　al．　Parameter　identification　for　Van　Der　Pol－Duffing　oscillator　by　a　novel　artificial　bee　colony　algorithm　with　differential　evolution　operators　［J］．　Applied　Mathematics　and　Computation，　2013，　222：　132－44．

［17］　GAO　F，　FEI　F－X，　TONG　H－Q，　et　al．　Bacterial　Foraging　Optimization　Oriented　by　Atomized　Feature　Cloud　Model　Strategy；　proceedings　of　the　32nd　Chinese　Control　Conference　（CCC），　Xian，　PEOPLES　R　CHINA，　F　2013，　Jul　26－28，　2013　［C］．　2013．

［18］　GAO　F，　QI　Y，　BALASINGHAM　I，　et　al．　A　Novel　non－Lyapunov　way　for　detecting　uncertain　parameters　of　chaos　system　with　random　noises　［J］．　Expert　Systems　with　Applications，　2012，　39（2）：　1779－83．

［19］　GAO　F，　FEI　F－X，　XU　Q，　et　al．　A　novel　artificial　bee　colony　algorithm　with　space　contraction　for　unknown　parameters　identification　and　time－delays　of　chaotic　systems　［J］．　Applied　Mathematics　and　Computation，　2012，　219（2）：　552－68．

［20］　GAO　F，　FEI　F－X，　DENG　Y－F，　et　al．　A　novel　non－Lyapunov　approach　through　artificial　bee　colony　algorithm　for　detecting　unstable　periodic　orbits　with　high　orders　［J］．　Expert　Systems　with　Applications，　2012，　39（16）：　12389－97．

［21］　XIAO　J－Q，　WU　M，　GAO　F．　Divergence　points　of　self－similar　measures　satisfying　the　OSC　［J］．　Journal　of　Mathematical　Analysis　and　Applications，　2011，　379（2）：　834－41．

［22］　GAO　F，　QI　Y，　YIN　Q，　XIAO　J．　Solving　problems　in　chaos　control　though　an　differential　evolution　algorithm　with　region　zooming；　proceedings　of　the　2nd　International　Conference　on　Mechanical　and　Aerospace　Engineering　（ICMAE　2011），　Bangkok，　THAILAND，　F　2012，　Jul　29－31，　2011　［C］．　2012．

［23］　GAO　F，　LEE　J－J，　LI　Z，　et　al．　Parameter　estimation　for　chaotic　system　with　initial　random　noises　by　particle　swarm　optimization　［J］．　Chaos　Solitons　＆　Fractals，　2009，　42（2）：　1286－91．

［24］　GAO　F，　GAO　H，　LI　Z，　et　al．　Detecting　unstable　periodic　orbits　of　nonlinear　mappings　by　a　novel　quantum－behaved　particle　swarm　optimization　non－Lyapunov　way　［J］．　Chaos　Solitons　＆　Fractals，　2009，　42（4）：　2450－63．

［25］　GAO　F，　LI　Z－Q，　TONG　H－Q．　Parameters　estimation　online　for　Lorenz　system　by　a　novel　quantum－behaved　particle　swarm　optimization　［J］．　Chinese　Physics　B，　2008，　17（4）：　1196－201．

［26］　GAO　F，　LEE　J－J，　IEEE．　A　New　Approach　in　Synchronization　of　Uncertain　Chaos　Systems　Through　Particle　Swarm　Optimization；　proceedings　of　the　6th　IEEE　International　Conference　on　Industrial　Informatics，　Daejeon，　SOUTH　KOREA，　F　2008，　Jul　13－16，　2008　［C］．　2008．

［27］　GAO　F，　LEE　J－J，　IEEE．　A　New　Approach　in　Discrete　Chaos　System　Control　by　Differential　Evolution　Algorithm；　proceedings　of　the　6th　IEEE　International　Conference　on　Industrial　Informatics，　Daejeon，　SOUTH　KOREA，　F　2008，　Jul　13－16，　2008　［C］．　2008．

［28］　GAO　F，　TONG　H　Q．　Parameter　estimation　for　chaotic　system　based　on　particle　swarm　optimization　［J］．　Acta　Physica　Sinica，　2006，　55（2）：　577－82．

［29］　GAO　F，　TONG　H　Q．　A　novel　optimal　PID　tuning　and　on－line　tuning　based　on　particle　swarm　optimization；　proceedings　of　the　International　Conference　on　Sensing，　Computing　and　Automation，　Chongqing，　PEOPLES　R　CHINA，　F　Dec　2006，　May　08－11，　2006　［C］．　2006．

［30］　GAO　F，　TONG　H，　IEEE．　Control　a　novel　discrete　chaotic　system　through　Particle　Swarm　Optimization；　proceedings　of　the　6th　World　Congress　on　Intelligent　Control　and　Automation，　Dalian，　PEOPLES　R　CHINA，　F　2006，　Jun　21－23，　2006　［C］．　2006．

［31］　GAO　F，　TONG　H．　UEAS：　A　novel　united　evolutionary　algorithm　scheme　［M］／／KING　I，　WANG　J，　CHAN　L，　WANG　D　L．　Neural　Information　Processing，　Pt　3，　Proceedings．　2006：　772－80．

［32］　GAO　F，　TONG　H．　Differential　evolution：　An　efficient　method　in　optimal　PID　tuning　and　on－line　tuning　［J］．　Dynamics　of　Continuous　Discrete　and　Impulsive　Systems－Series　B－Applications　＆　Algorithms，　2006，　13：　785－9．

［33］　GAO　F，　TONG　H．　Particle　swarm　optimization：　An　efficient　method　for　tracing　periodic　orbits　and　controlling　chaos　［J］．　Dynamics　of　Continuous　Discrete　and　Impulsive　Systems－Series　B－Applications　＆　Algorithms，　2006，　13：　780－4．

(3) Academic Appointments: 

Deputy Secretary-General, the Fractional Order Professional Committee, Chinese Association of Automation