Research field and research interests

Machine Learning, Deep Learning, Trajectory Mining, GPS Mining, People’s Next Location Prediction, Monitoring Elderly People’s Movements, and Mobility Analysis and Prediction for Smart Health.

Publications

• Al-Molegi, M. Jabreel, A. Martínez-Ballesté, Move, Attend and Predict: An Attention-based Neural Model for People’s Movement Prediction, Pattern Recognition Letters Elsevier, 112, 34-40, 2018, ISSN: 0167-8655 (1.952 Q2).
• Al-Molegi, I. Alsmadi, A. Martínez-Ballesté, Regions-of-Interest Discovering and Predicting in Smartphone Environments, Pervasive and Mobile Computing Elsevier, 47, 31-53, 2018, ISSN 1574-1192, (2.349 Q2).
• Martínez-Ballesté, A. Al-Molegi, E. Batista, On the Detection of Wandering using Trajectories Datasets, In the 9th International Conference on Information, Intelligence, Systems and Applications IISA, IEEE, 2018.

Professional career interests

Currently, I am looking for a research position in academia or industry where I can keep developing my research skills and extending my knowledge.

I participate in PostDoc-NeT because...

it is a great opportunity to gain insight into cutting-edge researches and technologies and also to develop connections with academic and industrial research groups in Germany.

Website

https://www.linkedin.com/in/abdulrahman-al-molegi-ph-d-61912b45/
https://scholar.google.es/citations?user=0BXbg4IAAAAJ&hl=en&oi=ao

 

Present position and affiliation Postdoctoral Research Fellow, Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta

Research field and research interests

My research includes Robotics, Biomedical devices, Myoelectric control, Machine Learning, Pattern Recognition, Design and Control of Prosthetic Limbs, Neuroprosthetics as well as developing sensory feedback devices to improve myoelectric prosthesis control for upper- and lower-limb amputees.

Publications

• A W. Shehata, L F. Engels, E J. Scheme, J W. Sensinger, and C. Cipriani. (2019). When Less Is More – Discrete Tactile Feedback Dominates Continuous Audio Biofeedback in the Integrated Percept While Controlling a Myoelectric Prosthetic Hand. Frontiers in Neuroscience, 13, p.578.
• A W. Shehata, L F. Engels, M. Controzzi, C. Cipriani, E J. Scheme, and J W. Sensinger. (2018). Improving Internal Model Strength and Performance of Prosthetic Hands Using Augmented Feedback. Journal of NeuroEngineering and Rehabilitation; 15:70.
• A W. Shehata, E J. Scheme, and J W. Sensinger. (2018). Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control, Scientific Reports; 8, Article number: 8541

Professional career interests

Research scientist, Professor, or Principal Investigator at a research institution/University or the Industry sector (Research and Development).

I participate in PostDoc-NeT because...

I would like to expand my knowledge of the needs of the industry sector and experience firsthand the role of machine learning and artificial intellegence in manufacturing. I am hoping that this tour would spark some collaboration opportunities with research institutions, universities, and technology corporates to unpack the integration of machine learning for robotics and prosthesis control. Also, I believe that this networking program is a great opportunity to share and form ideas that may bridge the gap between industry and research by allowing postdocs, such as myself, to transition from university setting to industry.

Website

https://blinclab.ca/shehata
https://scholar.google.com/citations?user=KxwT8ZUAAAAJ&hl=en&oi=ao

 

Present position and affiliation Postdoctoral Research Fellow, Department of Electronics Engineering, Chonbuk National University, South Korea

Research field and research interests

Artificial Intelligence, Machine learning, Deep learning, Pattern recognition, Computer vision, Internet of things, Neural Networks Optimization, Robotics.

Publications

• Fuentes, A., Yoon, S., Lee, J., and Park, D.S. (2018). High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System with Refinement Filter Bank. Frontiers in Plant Science. doi: 10.3389/fpls.2018.01162
• Fuentes, A., Yoon, S., and Park, D. S. (2018). Spatial Multilevel Optical Flow Architecture-based Dynamic Motion Estimation in Vehicular Traffic Scenarios. KSII Transactions on Internet and Information Systems, 12(12), 5978-5999, doi: 10.3837/tiis.2018.12.020
• Fuentes, A., Yoon, S., Kim, S. C., and Park, D. S. (2017). A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition. Sensors, 17(9), 2022. doi: 10.3390/s17092022

Professional career interests

As part of my academic and professional career, I am interested in establishing connections with universities, research institutions, and companies in the field of artificial intelligence. In addition, I am also interested in potential career opportunities to continue developing state-of-the-art technologies based on artificial intelligence.

I participate in PostDoc-NeT because...

I am participating in PostDoc-Net because it is a unique opportunity to establish connections with academic and industrial institutions in Germany. The program gives the opportunity to meet potential collaborators, learn about cutting-edge technologies, and networking.

Website

https://sites.google.com/site/afuentes100ec
https://www.researchgate.net/profile/Alvaro_Fuentes9
https://scholar.google.co.kr/citations?user=whVMhRMAAAAJ&hl=en

 

Present position and affiliation Postdoctoral Associate, neuroArm, Department of Clinical Neurosciences, University of Calgary

Research field and research interests

• Artificial Intelligence and Data Science
• AI-incorporated Surgical Robotics
• Computer Vision and Deep Learning in Health Informatics
• Machine Learning in Human Fatigue Monitoring
• Sensor Fusion in Biomechanics

Publications

• Baghdadi, A., Megahed, F. M., Esfahani, E. T., & Cavuoto, L. A. (2018). A machine learning approach to detect changes in gait parameters following a fatiguing occupational task. Ergonomics, 61(8), 1116-1129.
• Baghdadi, A., Cavuoto, L. A., & Crassidis, J. L. (2018). Hip and trunk kinematics estimation in gait through Kalman filter using IMU data at the ankle. IEEE Sensors Journal, 18(10), 4253-4260.
• Baghdadi, A., Hussein, A. A., Ahmed, Y., Cavuoto, L. A., & Guru, K. A. (2019). A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos. International journal of computer assisted radiology and surgery, 14(4), 697-707.

Professional career interests

Applied research scientist positions in the field of health informatics focusing on artificial intelligence and data science with an industrial setting.

I participate in PostDoc-NeT because...

Visiting Germany as a notable industrial hub through PostDoc-Net focuing on AI-incorporated industries is a good opportunity to learn about the potentials for a future collaboration with German research and industry and visiting fellows from around the world.

Website

https://www.linkedin.com/in/amirbaghdadi/
https://scholar.google.ca/citations?user=qvA4CzMAAAAJ&hl=en
https://www.researchgate.net/profile/Amir_Baghdadi2
https://github.com/AmirBGitHub

 

Present position and affiliation Research Fellow, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI USA

Research field and research interests

• Intelligent manufacturing and intelligent welding within human-cyber-physical systems (HCPS)
• Energy conversion & management
• Technology innovation & management

Publications

• Zhou Ji, Li Peigen, Zhou Yanhong *, Wang Baicun *, Zang Jiyuan, and Meng Liu. Toward new-generation intelligent manufacturing. Engineering, 2018, 4(1): 11-20.
• Zhou Ji, Zhou Yanhong *, Wang Baicun *, and Zang Jiyuan. Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing. Engineering (2019). https://doi.org/10.1016/j.eng.2019.07.015
• Baicun Wang, Yufei Liu, Yuan Zhou *, and Zhen Wen. Emerging nanogenerator technology in China: A review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods. Nano Energy, 2018, 46: 322-330.

Professional career interests

I am interested in doing teaching and research at high-level university/institution. Being an cross-disciplinary researcher in technology, engineering, management and policy is my dream.

I participate in PostDoc-NeT because...

    I am keen to be an expert in the research field of intelligent manufacturing, human-cyber-physical systems (HCPS) area, holding a faculty/research position in one of the top universities worldwide.
    I am interested to work in the area of intelligent manufacturing and Industry 4.0, including the international exchanges among Germany, USA and China.
    This tour will provide me the opportunity to get an deep insight about the ongoing research in Industry 4.0 and intelligent manufacturing areas in Germany, get information about the potential collaborators and available faculty positions, meet new friends to network, and find opportunities to pursue my career in Industry 4.0 and intelligent manufacturing areas.

Website

https://www.linkedin.com/in/baicun-wang-48b3a6a8/
https://scholar.google.com/citations?user=Bq-19qQAAAAJ&hl=en
https://www.researchgate.net/profile/baicun_Wang

 

Present position and affiliation Research Associate, Cardiff University

Research field and research interests

• Cyber-Physical Production Systems
• Digital Twin
• Metal Additive Manufacturing
• Machine Learning in Manufacturing
• Data Communication Standards

Publications

• Liu, C., Vengayil, H., Lu, Y., & Xu, X. (2019). A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect. Journal of Manufacturing Systems, 51, 61-74.
• Liu, C., Vengayil, H., Zhong, R. Y., & Xu, X. (2018). A systematic development method for cyber-physical machine tools. Journal of manufacturing systems, 48, 13-24.
• Liu, C., Cao, S., Tse, W., & Xu, X. (2017). Augmented reality-assisted intelligent window for cyber-physical machine tools. Journal of Manufacturing Systems, 44, 280-286.

Professional career interests

I am keen to be an expert and influential scholar in the research field of Smart Manufacturing. I would like to pursue a faculty position in one of the top universities worldwide.

I participate in PostDoc-NeT because...

The theme of this tour suits perfectly with my current research project as well as my general research interests. I am very keen to learn about the current status of the development of Industry 4.0 in Germany. I believe the tour could help me make connections with international researchers in my research area and explore potential collaboration opportunities in the future.

Website

https://scholar.google.co.uk/citations?hl=en&user=gHIWdHcAAAAJ
https://www.researchgate.net/profile/Chao_Liu85
https://www.cardiff.ac.uk/people/view/1495346-liu-chao

 

Present position and affiliation Postdoctoral Research Fellow, East China University of Science and Technology, China

Research field and research interests

Cyber-physical systems, the security of smart grid

Publications

• C. Liu, M. Zhou, J. Wu, C. Long, and D. Kundur, “Financially motivated FDI on SCED in real-time electricity markets: attacks and mitigation,” IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1949-1959, Mar. 2019.
• C. Liu, J. Wu, C. Long, and D. Kundur, “Reactance perturbation for detecting and identifying FDI attacks in power system state estimation,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 763-776, Aug. 2018.
• C. Liu, M. Zhou, J. Wu, C. Long, and Y. Wang, “Electric vehicles en-route charging navigation systems: joint charging and routing optimization,” IEEE Transactions on Control Systems Technology, vol. 27, no. 2, pp. 906-914, Mar. 2019.
• Professional career interests

I am interested in research positions both in the universities and industries.

I participate in PostDoc-NeT because..

It’s a good opportunity to interact and establish potential research collaborations with the researchers in the field of cyber-physical systems in Germany.

Website

https://www.researchgate.net/profile/Chensheng_Liu2

 

Present position and affiliation Postdoctoral Research Fellow, East China University of Science and Technology, China

Research field and research interests

Smart DC-AC Microgrids, Application of Smart Power Electronics Converters in Power Systems, Artificial Intelligence for Smart Grid’s Control, Cyber Attacks and Mitigation Strategies in Smart Microgrids

Publications

• F. Nejabatkhah and Y. W. Li, “Flexible Unbalanced Compensation of Three-Phase Distribution System Using Single-Phase Distributed Generation Inverters”, IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1845-1857, Mar. 2019. (Impact Factor: 10.486)
• F. Nejabatkhah, Y. W. Li., K. Sun, and R. Zhang, “Active Power Oscillation Cancellation with Peak Current Sharing in Parallel Interfacing Converters under Unbalanced Voltage”, IEEE Transactions on Power Electronics, vol. 33, no. 12, pp. 10200-10214, Dec. 2018. (Impact Factor: 7.224)
• F. Nejabatkhah, Y. W. Li, and K. Sun, “Parallel Three-Phase Interfacing Converters Operation under Unbalanced Voltage in Hybrid AC/DC Microgrid”, IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1310-1322, Mar. 2018. (Impact Factor: 10.486)

Professional career interests

I plan to work as a researcher in the field of Smart Grids, in academia or industry-based research institute.

I participate in PostDoc-NeT because..

I would like to meet potential collaborators and network with universities and companies in Germany. Also, it is a great opportunity to learn about German industry and academic jobs and application procedure. Moreover, this tour will provide valuable aspects of Industry 4.0, which will help me enrich my research in this area.

Website

https://scholar.google.ca/citations?user=sCimlikAAAAJ&hl=en
www.linkedin.com/in/farzam-nejabatkhah

Present position and affiliation Assistant Professor Department of Mechatronics Engineering German Jordanian University Amman, 11180 JORDAN

Research field and research interests

• Machine Learning and Dynamic System Identification
• Cyber-Physical systems for Manufacturing and Healthcare
• Industry 4.0 and Internet of Things
• Physiological Systems

Publications

• ElMoaqet, H., Tilbury, D. M., & Ramachandran, S. K. (2016). Multi-step ahead predictions for critical levels in physiological time series. IEEE transactions on cybernetics, 46(7), 1704-1714.‏
• ElMoaqet, H., Ismael, I., Patzolt, F., & Ryalat, M. (2018, September). Design and Integration of an IoT Device for Training Purposes of Industry 4.0. In Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control (p. 25). ACM.‏
• Kim, J., ElMoaqet, H., Tilbury, D. M., Ramachandran, S. K., & Penzel, T. (2019). Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach. Physiological measurement, 40(5), 054007-054007.‏

Professional career interests

As I progress in my academic career, I am thrilled to establish connections with German universities, research institutions, and industry in the fields of Cyber-Physical systems and machine learning within the framework of Industry 4.0.

I participate in PostDoc-NeT because..

It is a great opportunity to meet potential collaborators, learn about cutting-edge technologies, and network with researchers and companies in Germany.

Website

http://www.gju.edu.jo/content/dr-hisham-elmoaqet-5648
https://scholar.google.com/citations?user=l8W_euMAAAAJ&hl=en

 

Present position and affiliation Assistant Professor, Department of Computer Technology, PSG College of Arts & Science, Coimbatore , India

Research field and research interests

Smart Agricultural System, Data Security in Cloud Computing, IoT for Smart Learning

Publications

• J.Mahalakshmi and K.Kuppusamy,  “IoT Sensor based Smart Agricultural System”, in Emerging Technologies for Agriculture and Environment, Lecture notes on Multidisciplinary Industrial Engineering, Springer, Singapore, pp. 39-52, 2019, DOI: https://doi.org/10.1007/978-981-13-7968-0_4, ISSN print: 978-981-13-7967-3.Link: https://link.springer.com/chapter/10.1007/978-981-13-7968-0_4)
• J.Mahalakshmi and K.Kuppusamy, “Hybridization of ICBC and Genetic Algorithm for Optimizing Encryption process in Cloud Computing Application Service”, inFundamentaInformaticae,vol. 157, no. 1-2, pp. 79-109, 2018, DOI: 10.3233/FI-2018-1619(SCI Indexed – Annexure – 1) ISSN print: 0169-2968, IOS Press. (Link: https://content.iospress.com/articles/fundamenta-informaticae/fi1619)
• J.Mahalakshmi and K.Kuppusamy, “Security- As – A – Service for files in Cloud Computing – A Novel application Model”, IEEE Digital Xplore,DOI: 10.1109/ISCO.2016.7726889, November 2016, pp: 1-5, IEEE (Link: https://ieeexplore.ieee.org/document/7726889/)

Professional career interests

My Research Interests focus on cutting-edge technologies emerged for Agricultural System using IoT Sensors. Focusing on Machine Learning Algorithms that could be implemented for the Sub-optimal solution to the problems regarding security of the data in Distributed Networks.  Interested to establish a strong collaborations with industries working on IoT for smart environment. Keen to learn about recent advancements towards the IoT and Data Security.

I participate in PostDoc-NeT because..

As an Assistant Professor, it is my greatest oppourtunity to  connect with the academic and research group at a single point in Germany. It is the speical chance to develop collaborations with academic people and actively wishes to advance my research carrer. Learn about more research projects and carrer development oppourtunities. It is the floor to exchange research ideas and create a expert connections.

Website

https://scholar.google.com/citations?user=mKKefkkAAAAJ&hl=en&authuser=1
https://www.researchgate.net/profile/Dr_Jeyabalu?ev=hdr_xprf&_sg=6SwNW21D4-ne2pJUx2acVpaZD0HVdadXm72FHmEockkDtgQbFrRj4nw8m_bRVFcGQ832qi4VWMFB5G48nGWqHM7W
https://www.linkedin.com/in/dr-mahalakshmi-jeyabalu-7a8b1796

 

Present position and affiliation Associate Professor, Yangon Technological University

Research field and research interests

• Wireless communication systems
• IoT and optimization techniques
• Machine learning

Publications

• Khin Kyu Kyu Win, “Modeling of IoT Network using Packet Tracer,” Annual Conference on Myanmar Engineering Society, Yangon, Myanmar, 2019.
• Khin Kyu Kyu Win, Soe Lin Phyo and Ye Yint Moe, “Study of Spectrum Utilization using Wireless VLAN,” IEEE International Conference on Science Technology and Innovation, Mandalay, Myanmar, 2018.
• Khin Kyu Kyu Win and Phyu Phyu Thant, “Selecting Objective Functions for Multiobjective Optimization in Wireless Sensor Network,” International Journal of Science, Engineering and Technology Research Vol.7, Issue 7, July, 2018.

Professional career interests

I am interested in research and development for technology and industrial need of my country. I am trying to keep on my teaching and learning continuously.

I participate in PostDoc-NeT because..

It is great opportunity for me to learn Developing Industry 4.0 in Germany. I trust that it will give me research ideas and innovation and future collaboration.

Website

https://www.linkedin.com/in/khin-win-7a8506116

 

Present position and affiliation Postdoctoral Researcher / Institute for Transportation - Iowa State University

Research field and research interests

Video/Image Processing, Computer Vision, Embedded Systems, Video Event Detection, Artificial Intelligence, Machine/Deep Learning, Autonomous Driving, Connected Vehicles.

Publications

• K. Ozcan, A. Mahabalagiri, and S. Velipasalar. 2014. Automatic Fall Detection and Activity Classication by a Wearable Camera. In Distributed Embedded Smart Cameras. Christophe Bobda and Senem Velipasalar, Eds., pp. 151–172. Springer, New York, NY.
• Ozcan, K. and S. Velipasalar. 2016. Wearable Camera- and Accelerometer-Based Fall Detection on Portable Devices. IEEE Embedded Systems Letters. Vol. 8, No. 1, pp. 6–9.  
• K. Ozcan, A. K. Mahabalagiri, M. Casares, and S. Velipasalar. 2013. Automatic Fall Detection and Activity Classication by a Wearable Embedded Smart Camera. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. Vol. 3, No. 2, pp. 125–136.

Professional career interests

I participate in PostDoc-NeT because I’d like to extend my network and collaboration opportunities with research institutes and companies in my research areas of interest. I hope the tour will provide new research opportunities suitable with my education and career path. I’m enthusiastic about research career opportunities that will be introduced within this year’s tour.

Website

https://www.linkedin.com/in/koray-ozcan-b003903b/

 

Present position and affiliation I am a Post-doctoral researcher at the Federal University of Technology of Parana in Brazil.

Research field and research interests

             

My research field is Artificial Intelligence (AI) and my main research interests are intelligent agents, formal argumentation, multi-agent systems, uncertainty, and explainable AI.

Publications

• MORVELI-ESPINOZA, MARIELA; NIEVES, JUAN CARLOS. ; POSSEBOM, AYSLAN; PUYOL-GRUART, JOSEP; TACLA, CESAR. “An argumentation-based approach for identifying and dealing with incompatibilities among procedural goals”. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (IF:1.982), v. 105, p. 1-26, 2019, DOI: 10.1016/j.ijar.2018.10.015
• MORVELI-ESPINOZA, MARIELA; POSSEBOM, AYSLAN; PUYOL-GRUART, JOSEP; TACLA, CESAR. “Argumentation-based Intention Formation Process”. DYNA-MEDELLÍN (IF: 0.27), v. 86, p. 82-91, 2019, DOI: 10.15446/dyna.v86n208.66597
• MORVELI-ESPINOZA, MARIELA; POSSEBOM, AYSLAN; TACLA, CESAR. “On the Calculation of the Strength of Threats”. KNOWLEDGE AND INFORMATION SYSTEMS: AN INTERNATIONAL JOURNAL (IF: 2.397). Accepted with minor reviews, 2019.

Professional career interests

I am interested in a position that allows me to grow academically. I want to deepen my knowledge about the previously mentioned research topics and extend my knowledge about new related areas. In addition, I would like to know about research projects in which I can cooperate either living in Germany or from Brazil.

I participate in PostDoc-NeT because...

It is a good opportunity for learning about the academic German system and about the research interests of the universities an research and private institutes. It is also interesting because I can know people whose research field is similar to mine and there may be the possibiity of working together in the future.

Website

http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4383566Y6
https://www.researchgate.net/profile/Mariela_Morveli-Espinoza

 

Present position and affiliation Postdoctoral Research Fellow, Postgraduate School of Engineering Management, University of Johannesburg, South Africa

Research field and research interests

Additive Manufacturing/3D printing, Digital Technology, Water 4.0 (Digital Water), Manufacturing System, Lean Manufacturing, Engineering Management, Supply Chain Management, Engineering Education, Sustainable Engineering, Artificial Intelligence

Publications

• Alabi, M.O., De Beer, D and Wichers, H. Applications of Additive Manufacturing at Selected South African Universities: Promoting Additive Manufacturing Education. Rapid Prototyping Journal. DOI 10.1108/RPJ-08-2018-0216. (Impact factor – 3.686*).
• Alabi, M.O., Nixon, K. and Botef, I. A Survey on Recent Application of Machine Learning with Big Data in Additive Manufacturing Industry. America Journal of Engineering and Applied Sciences, 11(3): 1114 – 1124. DOI:  10.3844/ajeassp.2018.1114.1124.
• Alabi, M. O., Big Data, 3D Printing Technology, and Industry of the Future. International Journal of Big Data and Analytics in Healthcare. 2(2): 1 – 20. DOI: 10.4018/IJBDAH.2017070101

Professional career interests

I am an aspiring young researcher who is interested in emerging technology such as disruptive and digital technologies. I am actively looking for opportunities to advance my research career in the interdisciplinary domains of manufacturing systems, additive manufacturing, Internet of Things, Industry 4.0 and water 4.0 through synergistic collaborations. I am interested n potential career opportunities or position in Germany within the universities, research institutes, and industries especially in Research, Development and Innovations. I am also interested in a short visit as a visiting researcher in Germany.

I participate in PostDoc-NeT because...

It is an excellent opportunity because Germany is a leader in research topics. The postdoctoral research networking tour will give me the privilege to see the physical implementation of Industry 4.0. More so, I am participating in PostDoc-Net because it is an excellent opportunity to develop connections with academic and industrial research groups in Germany. I hope these will lead to rich collaborations in the future. I see it as a great opportunity to network with other Postdoctoral fellows.

Website

https://www.linkedin.com/in/alabi-micheal-b6474125/
https://scholar.google.co.za/citations?user=Z6U-EhQAAAAJ&hl=en

 

Present position and affiliation Postdoctoral Research Fellow, Postgraduate School of Engineering Management, University of Johannesburg, South Africa

Research field and research interests

Coding Theory, Machine Learning, Differential Privacy, Information Theory

Publications

• Min Ye and E. Abbe, "Communication-Computation Efficient Gradient Coding,'' 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018, pp. 5610-5619.
• Min Ye and A. Barg, "Explicit constructions of high-rate MDS array codes with optimal repair bandwidth,'' IEEE Transactions on Information Theory, vol. 63, no. 4, pp. 2001-2014, April 2017.
• Min Ye and A. Barg, "Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy,'' IEEE Transactions on Information Theory, vol. 64, no. 8, pp. 5662-5676, Aug. 2018.

Professional career interests

I’d like to establish connections with universities, research institutions, and companies in the field of big data analytics and machine learning.

I participate in PostDoc-NeT because...

I would like to meet potential collaborators, learn about cutting-edge technologies, and network with universities and companies in Germany.

Website

https://sites.google.com/site/yeemmi/

 

Present position and affiliation Postdoctoral Research Fellow, Centre for Cyber Physical Systems, Khalifa University, UAE

Research field and research interests

• Blockchain
• Industry 4.0
• Big Data Processing and Analytics
• Edge Computing
• Internet of Things

Publications

• M. H. Rehman et al, The of Big Data Analytics in Industrial Internet of Things, Future Generation Computer Systems, vol. 99, pp. 247-259, 2019.
• K. Salah, M. H. Rehman, N. Nizammuddin, A. Al-Fuqaha, Blockchain for AI: Review and Open Research Challenges, IEEE Access, vol. 7, pp. 10127-10149, 2019.
• M. H. Rehman et al, Big Data Analytics in Industrial IoT using a Concentric Computing Model, IEEE Communications Magazine, vol. 56(2), pp. 37-43, 2018.

Professional career interests

• Research and Development
• Teaching
• Startups

I participate in PostDoc-NeT because...

I want to explore the networking, collaboration, and job opportunities with German Scholars, Universities and Industrial Partners working in the area of Industry 4.0, CPS, Blockchain, Edge Computing, and Smart Factories.

Website

https://sites.google.com/site/drmhr2017/home

 

Present position and affiliation Senior Lecturer, Department of Mechanical Engineering, Faculty of Engineering, National Defense University of Malaysia

Research field and research interests

• Vehicle Dynamics and control
• Autonomous path tracking control
• Multi-objective optimisation with evolutionary algorithm
• Adaptive and knowledge-based control

Publications

• Amer, N. H., Hudha, K., Zamzuri, H., Aparow, V. R., Abidin, A. F. Z., Kadir, Z. A., & Murrad, M. (2018). “Adaptive modified Stanley controller with fuzzy supervisory system for trajectory tracking of an autonomous armoured vehicle”. Robotics and Autonomous Systems, 105, 94-111.
• Amer, N. H., Zamzuri, H., Hudha, K., & Kadir, Z. A. (2017), “Modelling and Control Strategies in Path Tracking Control for Autonomous Ground Vehicles: A Review of State of the Art and Challenges” Journal of Intelligent & Robotic Systems, 86(2), 225-254.
• Mansor, M., Hudha, K., Kadir, Z. A., Amer, N. H., & Aparow, V. R. (2017). “Modelling and optimisation of active front wheel steering system control for armoured vehicle for firing disturbance rejection”. International Journal of Vehicle Autonomous Systems, 13(4), 306-329.

Professional career interests

I am interested in research works related to intelligent systems and knowledge based systems and looking forward for future opportunities on research collaborations or attachments in Germany.

I participate in PostDoc-NeT because...

It is a very good opportunity to be exposed to the research culture in Germany, while establishing a research network in the field of IoT and intelligent systems.

Website

https://scholar.google.com.my/citations?user=eOPzVygAAAAJ&hl=en
https://orcid.org/0000-0003-0369-9585
https://www.scopus.com/authid/detail.uri?authorId=47061014700

 

Present position and affiliation Assistant Professor (Grade-II) at Amity University, Noida, India

Research field and research interests

Computing with words, Power Management, Optimization, Machine Learning, Deep Learning, NLP, Industry 4.0, Bioinformatics, Biomedical Engineering

Publications

• P.K. Muhuri, P.K. Gupta, J.M. Mendel, “Person Footprint of Uncertainty Based CWW Model for Power Optimization in Handheld Devices”, IEEE Transactions on Fuzzy Systems, Accepted for publication, DOI: 10.1109/TFUZZ.2019.2911049
• P.K. Gupta, P.K. Muhuri, “Extended Tsukamoto's Inference Method for Solving Multi-objective Linguistic Optimization Problems”, Fuzzy Sets and Systems, Elsevier, Accepted for publication, https://doi.org/10.1016/j.fss.2019.02.022
• P.K. Gupta, P. K. Muhuri, “Computing with words for student strategy evaluation in an examination”, Granular Computing, Springer, 4 (2): 167-184, https://doi.org/10.1007/s41066-018-0109-2

Professional career interests

I am currently working as a full-time Assistant Professor. My job responsibilities primarily include teaching. However, I see my future in a research lab or a research industry. I am interested in advancing my career in bioinformatics/ biomedical engineering.

I participate in PostDoc-NeT because...

It is a wonderful opportunity to connect with academia, industry and research labs across the globe, especially Germany. Germany is one of the leading economies of the world. It is also among the top notch countries in the area of bioinformatics and biomedical engineering. So, I am of the opinion that PostDoc-Net will be a fertile ground to enforce collaborations as well understanding the German research culture.

Website

https://guptaprashant1986.wixsite.com/prashantgupta

 

Present position and affiliation Postdoctoral Research Fellow, State Key Laboratory of Mechanical Systems and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University

Research field and research interests

• Mechanisms, robotics and its industry applications
• Parallel mechanisms
• Kinematics

Publications

• Rongfu Lin, Weizhong Guo, Feng Gao. Type Synthesis of a Family of Novel Four, Five, and Six Degrees-of-Freedom Sea Lion Ball Mechanisms with Three Limbs. ASME Journal of Mechanisms and Robotics, 2016,8(2): 021023-1-12.
• Rongfu Lin, Weizhong Guo, Meng Li. Novel Design of Legged Mobile Lander with Decoupled Landing and Walking Functions Containing a Particular Joint. ASME Journal of Mechanisms and Robotics, 2018, 10(6): 061017-1-14.
• Rongfu Lin, Weizhong Guo, Xianbao Chen, Meng Li. Type Synthesis of Legged Mobile Landers with One Passive Limb Using the Singularity Property. Robotica, 2018, 36(12):1836-1856.

Professional career interests

I want to keep developing my skills and extending my knowledge, which is an innovative theory for designing novel robots or mechanisms and their applications. Since I would like to pursue my future academic carrier in the field of robotics, I would like to find a postdoc or other academic position in a university.

I participate in PostDoc-NeT because...

First, the PostDoc-Net tour provides us a comprehensive and enjoyable opportunity to study the front line of state-of-the-art Industry 4.0 research in Germany. I am looking forward to improving and extending my current research in Germany.
Second,  by visiting different universities, research institutes, and companies in the field of Industry 4.0, I could have the opportunity to find out more about the German research system, funding opportunities and so on. It is definitely a good approach to explore the potential career opportunities and make connections with academic and industrial research groups in Germany.
Third, this tour brings many talented postdoctoral fellows together from different backgrounds all over the world. It is definitely a good chance for us to learn from each other regarding the development of Industry 4.0 and discuss some ideas for potential future collaborations.

Website

https://www.researchgate.net/profile/Rongfu_Lin

 

Present position and affiliation Project Associate, Indian Institute of Technology (IIT-D), New Delhi, INDIA

Research field and research interests

• Computer Vision
• Robotics
• Industry Automation
• Machine Learning

Publications

• S. Chaudhary, S. Zakhami, S. Dutta Roy. "Visual Feedback based Trajectory Planning to Pick an Object and Manipulation using Deep learning." In Proc. Advances in Robotics (AIR), ACM New York, NY, USA, 2019.
• S. Chaudhary, S. Indu and S. Chaudhury, "Video-based road traffic monitoring and prediction    using dynamic Bayesian networks," in IET Intelligent Transport Systems, vol. 12, no. 3, pp. 169-176, 4 2018. doi: 10.1049/iet-its.2016.0336
• M. Roy, R. A. Boby, S. Chaudhary, S. Chaudhury, S. D. Roy and S. K. Saha, "Pose estimation of texture-less cylindrical objects in bin picking using sensor fusion," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016, pp. 2279-2284.
  doi: 10.1109/IROS.2016.7759356

Professional career interests

I want to pursue my career in an organization where there are ample opportunities for research and innovation. I have an inclination towards teaching as it helps spread knowledge and at the same time making me learn from student’s experience.

I participate in PostDoc-NeT because...

Learning: During my PhD, I was engaged in an industry-oriented project on the KUKA robot platform. We had to work in close collaboration with industrial experts to understand the requirements and the deliverables. In this regard, the structured programs at Aachen University towards fruitful cooperation between academia and industry will provide ample opportunities to enhance my knowledge and skills for a better future career.
Exposure: Siemens, being the hub to smart manufacturing, robots etc., is the biggest attraction. In particular, exposure to its initiatives towards energy-efficient and sustainable technologies which is visible in upcoming innovations like conversion of carbo- dioxide to energy etc. would act as a valuable input to making my country a better place in terms of reusability of energy resources.
Networking: Competence Centre of Machine Learning Rhine being the most advance centre for low power based embedded systems, FPGA's etc., is of much interest to me. As I have done my M.Tech in embedded systems and Ph.D. in machine learning technologies, work done at this centre fascinates me a lot. I would love to make new connections with the people of my domain, so that I can get insight into new problem statements that we can solve as a team.

Present position and affiliation Assistant Professor, Faculty of Informatics, University of Gondar, Ethiopia.

Research field and research interests

Data-Driven Modelling, Simulation and Analysis, Machine Learning, Knowledge Based Systems, Natural Language Processing, Graph Theory.

Publications

• TM Abuhay, SV Kovalchuk, K Bochenina, GK Mbogo, AA Visheratin, ..., “Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory”, Journal of computational science 26, 193-204.
• SV Kovalchuk, TM Abuhay, I Altintas, ML Norman, MH Lees, ..., “Data through the computational lens”, Journal of Computational Science 20, 81-84.
• TM Abuhay, SV Kovalchuk, KO Bochenina, G Kampis, ..., “Analysis of computational science papers from ICCS 2001-2016 using topic modeling and graph theory”, Procedia Computer Science 108, 7-17.

Professional career interests

I am interested in data-driven research and data science positions.

I participate in PostDoc-NeT because...

The program provides first-hand information from top scientists and on-site visits to universities, research institutes, and private companies. This will give me a chance to discuss potential collaboration and funding opportunities. On top of this, I will have an opportunity to exchange ideas on the state-of-the-art of AI with participants.  

Website

https://www.mendeley.com/profiles/tesfamariam-abuhay/#profile-employment
https://scholar.google.com/citations?user=q2mLtWEAAAAJ&hl=en

 

Present position and affiliation Senior Data Scientist, APAC IoT Innovation Center, Hewlett Packard Enterprise

Research field and research interests

• Artificial Intelligence (AI)
• Machine Learning
• Federated Learning
• Multi-Agent System
• Internet Of Things
• Data Analytics / Data Science
• Smart Grid
• Smart Home
• Energy Management System
• Blockchain

Publications

• W. Li, T. Logenthiran, V. T. Phan, and W. L. Woo, “A Novel Smart Energy Theft System (SETS) for IoT based Smart Home,” IEEE Internet of Things Journal, 2019, In press.
• W. Li, T. Logenthiran, V. T. Phan, and W. L. Woo, “Implemented iot based self-learning home management system (shms) for singapore,” IEEE Internet of Things Journal, pp.1–1, 2018.
• W. Li. "Application of Economical Building Management System for Singapore Commercial Building." IEEE Transactions on Industrial Electronics, 2019, In press.

Professional career interests

I am interested in making an impact in the current society. Hence, to achieve the targeted progression in my career, I am excited to establish connections with universities, research institutions, and companies.

I participate in PostDoc-NeT because...

I am able gain insights to the Germany’s leading technologies and exchange perspective with academia and industry experts. It is also a great opportunity to network and connect with German experts in the research institutions and industrial companies with cutting-edge technologies.

Website

https://www.linkedin.com/in/weixian-li-844033ba/
https://scholar.google.com/citations?user=q-lFFPMAAAAJ&hl=en
https://www.researchgate.net/profile/Weixian_Li2

 

Present position and affiliation Lecturer, Head of Department Department of Biomedical Sciences and Engineering Mbarara University of Science and Technology, Uganda

Research field and research interests

My PhD research was focused on Automated Diagnosis and Classification of cervical cancer from pap-smears. I developed an AI Empowered a digital pathology platform for automated diagnosis of cervical cancer from pap-smear images. I am interested in application of AI for disease diagnosis to improve the lives of people in LMIC.

Publications

• W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm,” Informatics Med. Unlocked, 2019. https://doi.org/10.1016/j.imu.2019.02.001
• W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images,” Biomed. Eng. Online, Dec. 2019. https://doi.org/10.1186/s12938-019-0634-5
• W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images,” Comput. Methods Programs Biomed., vol. 164, pp. 15–22, Oct. 2018. https://doi.org/10.1016/j.cmpb.2018.05.034

Professional career interests

I am much interested in digital health innovations that provide universal health coverage, especially reaching the unreached particularly in LMIC. I have vast expertise in artificial intelligence and biomedical data science and has authored several academic papers especially in the field of machine learning, medical image analysis and biomedical data science.

I am also interested in Blockchain, Microfluidics, Global Health Leadership, Machine Learning, Software Engineering, Biomedical modelling and simulation, MechanoBiology, Biomechanics, Medical imaging, Healthy informatics, Red Biotechnology, Decision support systems, Cloud Computing, Distributed Systems and Signal Processing.

I participate in PostDoc-NeT because...

It is a great oppurtunity for networking and connecting with researchers from Germany working in both the academic and industrial fields. This will hopefully open a track for collaboration in research that can be benificial to all stakeholders.

Website

http://fast.must.ac.ug/fast-staff/mr-wasswa-william/