Beschäftigte

CV

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Wissenschaftlicher Mitarbeiter

Name

Dr. Surendra Reddy Kancharla

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Chair of Transport Modelling and Simulation

Chair of Transport Modelling and Simulation

Adresse work

Besuchsadresse:

Gerhart-Potthoff-Bau, POT 005 Hettnerstraße 1-3

01069 Dresden

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work Tel.

Wissenschaftlicher Mitarbeiter

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Wissenschaftliche Mitarbeiterin

Name

Dr. Durr e Nayab

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Kontaktinformationen

Organisationsname

Chair of Transport Modelling and Simulation

Chair of Transport Modelling and Simulation

Adresse work

Besuchsadresse:

Gerhart-Potthoff-Bau, POT 005 Hettnerstraße 1-3

01069 Dresden

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Research Associate

Education

PhD, 2015 – 2021
Research Title: Adaptive Expanding Ring Search Based Per Hop Routing Rendition in MANETS using Machine Learning
Electrical Engineering Department, 
University of Engineering and Technology, Peshawar, Pakistan

MS, 2012 – 2014
Research Title: Exploring Developmental Plasticity in Neural Networks for the Prediction of Foreign Currency Exchange Rates
Department of Computer Systems Engineering,
University of Engineering and Technology, Peshawar, Pakistan

BS, Computer Systems Engineering
2007 – 2011
University of Engineering and Technology, Peshawar, Pakistan

Research Experience

Post Doctoral Researcher,
Jan 2024 to date
TU Dresden, Transport Modeling and Simulation
“Friedrich List” Faculty of Transport Sciences
Institute for Transport Planning and Road Traffic
Technische Universitat Dresden, Germany

Co-Principal Investigator,
Feb 2023 – Jan 2024
Intelligent Systems Design Lab,
National Center for Artificial Intelligence, NCAI,
University of Engineering and Technology, Peshawar

International Researcher,
Feb 2020 – Feb 2022
Research Project under RDO Grant,
Intelligent Real-time Crowd Monitoring System Using UAV video and GPS Data,
Qassim University, KSA

Research Assistant,
2012 – 2014
R & D Funded Projects Center for Intelligent Systems and Networks Research,
University of Engineering and Technology, Peshawar, Pakistan

Teaching Experience

Lecturer & Batch Advisor,
June 2016 to date,
Department of Computer Systems Engineering,
University of Engineering and Technology, Peshawar, Pakistan

Lecturer,
2014 – 2015
Computer Science Department,
Institute of Business and Management Sciences,
Agriculture University, Peshawar, Pakistan

Lecturer,
2014 – 2016
Electrical Engineering Department,
Peshawar College Engineering, Peshawar, Pakistan

Research interests

Bearing a strong academic and research background in Mobile Ad Hoc Networks, Machine Learning, and Artificial Intelligence, Nayab seeks newer challenges in academia as well as industry capitalizing on her knowledge, research, and problem-solving skills to achieve impactful goals for the advancement of science and technology and benefit of society. She earned her Ph.D. in Electrical Engineering (EED) from UET Peshawar in 2021 and a Master's degree in Computer Systems Engineering from UET Peshawar in 2015. She has worked on major ICT R & D-funded projects at the Center for Intelligent Systems and Network Research (CISNR), UET Peshawar, and led twelve AI-based projects at the National Center for Artificial Intelligence (NCAI), UET Peshawar. Her research majors are Mobile Ad hoc Networks, Routing Schemes in Wireless Networks, Intelligent Systems Design, Artificial Intelligence Applications, and Machine Learning algorithms.

Selected Publications:

D. Nayab, M. H. Zafar, Ali Altalbe, Prediction of Scenarios for Routing in MANETs based on Expanding Ring Search and Random Early Detection Parameters using Machine Learning Techniques, IEEE Access, vol. 09, no. 01, pp. 47033-47047, 2021. (IF:3.745)

D. Nayab, M. H. Zafar, M. Basheri, Adaptive Expanding Ring Search Based Per Hop Routing in MANETs, Computers, Materials & Continua, vol. 67, no. 1, pp. 1137-1152, 2021. (IF:4.89)

K. Khan, W. Albattah, R. U. Khan, A. M. Qamar, D. Nayab, Advances and Trends in Real Time Visual Crowd Analysis, Applications of IoT and Machine Learning in Smart Cities, Sensors MDPI, vol. 20, no. 18, pp. 5073-5101, 2020. (IF:3.576)

D. Nayab, R. U. Khan, A. M. Qamar, Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets, Applied Computational Intelligence and Soft Computing, vol. 2023, no.1, pp. 1-20, 2023. (IF:2.9)

G. M. Khan and D. Nayab, Learning Trends on the Fly in Time Series Data using Plastic CGP evolved Recurrent Neural Networks, 27^th International Conference on Artificial Neural Networks and Machine Learning, Springer Proceedings, Rhodes, Greece, pp. 199-207, 2018.

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Wissenschaftlicher Mitarbeiter

Name

Dr. Esta Qiu

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Chair of Transport Modelling and Simulation

Chair of Transport Modelling and Simulation

Adresse work

Besuchsadresse:

Gerhart-Potthoff-Bau, POT 005 Hettnerstraße 1-3

01069 Dresden

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Wissenschaftlicher Mitarbeiter

CV

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Wissenschaftliche Mitarbeiterin

Name

Sakshi Atul Charde B.Arch.

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Chair of Transport Modelling and Simulation

Chair of Transport Modelling and Simulation

Research Assiciate

CV

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Wissenschaftliche Hilfskraft

Name

Dr. Anna Sotnikova

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Chair of Transport Modelling and Simulation

Chair of Transport Modelling and Simulation

Wissenschaftliche Hilfskraft

Anna holds a PhD degree in Transport Technologies from Lviv Polytechnic National University, Lviv, Ukraine. Her research is focused on understanding changes in transport flows in war conditions using pervasive data.

Selected Publications:

Waller, S. T., Qurashi, M., Sotnikova, A., Karva, L., & Chand, S. (2023). Analyzing and Modeling Network Travel Patterns During the Ukraine Invasion Using Crowd-Sourced Pervasive Traffic Data. Transportation Research Record, 2677(10), 491-507. https://doi.org/10.1177/03611981231161622

А. O. Sotnikova, "Analysis of the transport behavior of the population of Ukraine during the initial phase of a full-scale invasion," VPI Bulletin, vol. 6, pp. 65-70, Dec. 2023. https://doi.org/10.31649/1997-9266-2023-171-6-65-70

Work experience

12/2022 – now
Research Assistant
Dresden University of Technology

09/2019 – 06/2021
Assistant of the Department of Transport Technologies
Lviv Polytechnic National University, Lviv, Ukraine

06/2018 – 09/2019
Junior Transport Analyst
Dornier Consulting International GmbH, Kyiv, Ukraine

04/2017 – 06/2017
Engineer of the 2nd category
Lviv Municipal Enterprise “Lvivavtodor”, Lviv, Ukraine

Education

09/2019 – now
PhD student
Lviv Polytechnic National University, Lviv, Ukraine
Thesis: Specifics of transport flows formation in war conditions

09/2017 – 12/2018
Master of Transport Technologies
Lviv Polytechnic National University, Lviv, Ukraine
Thesis: Investigation of interaction between cyclists and pedestrians

09/2013 – 06/2017
Bachelor of Transport Technologies
Lviv Polytechnic National University, Lviv, Ukraine
Diploma work - "Reorganization of traffic management scheme at intersection of streets Pasichna and G. Washingtona in Lviv"

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Wissenschaftliche Hilfskraft

Name

Lavina Karva M.Sc.

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Wissenschaftliche Hilfskraft

CV