José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Published on by Network Science

José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Assoc Prof Dr. José Fernando Maya-Vetencourt distinguished academic and researcher in the field Network science.

🌐 Professional Profile

Educations📚📚📚

Dr. José Fernando Maya-Vetencourt obtained his Bachelor’s degree in Biology from the University of the Andes in Merida. He then pursued a Master’s degree in Biochemistry and Cellular Biology at the Ecole Normale Supérieure in Paris, where he contributed to an international research project. He earned his PhD in Neurobiology at the Scuola Normale Superiore of Pisa under the mentorship of Lamberto Maffei and continued there as a Postdoctoral fellow. His postdoctoral work extended to the NEST laboratory.

Research Interests

Dr. Maya-Vetencourt’s research interests encompass:

  1. Neuronal Interfaces: Developing devices to substitute damaged tissues in the nervous system.
  2. Optogenetics and Neuronal Plasticity: Investigating mechanisms underlying sensory perception and behavior.
  3. Retinal Circuitries: Studying physiological and pathological conditions in the retina.

Publications and Academic Contributions

Dr. Maya-Vetencourt has published 34 scientific manuscripts in esteemed peer-reviewed journals, with 29 indexed in PubMed, including Science, Nature Neuroscience, and Nature Nanotechnology. He has edited one neuroscience book, authored four book chapters, and co-invented four patents. His work has garnered over 3400 citations, an H-index of 22 on Google Scholar, and an average impact factor per manuscript of 13.06.

Teaching and Mentorship

He has supervised over 35 Master’s thesis students in Neuroscience and Biotechnology. Dr. Maya-Vetencourt is a member of the Italian Society of Neuroscience (SINS), the American Society of Neuroscience (SfN), and the Italian Physiological Society (SIF). He serves as an associate review editor for “Frontiers in Molecular Neuroscience” and “Frontiers in Cellular Neuroscience”.

Awards and Recognitions

In 2017, Dr. Maya-Vetencourt received two prestigious “Young Investigator” awards: one from the Italian Physiological Society in Pavia and another from the Federation of European Physiological Societies in Vienna.

Pioneering Research

Dr. Maya-Vetencourt pioneered approaches to reactivate juvenile-like plasticity in the adult visual system (Nat Neurosc 2007; Science 2008). He explored chromatin susceptibility mechanisms for reinstating plasticity in the adult brain (Eur J Neurosci 2011). At IIT, he set up an electrophysiology lab to apply photovoltaic interfaces in rodent models of retinitis pigmentosa, leading to the development of a fully organic prosthetic device for subretinal implantation in RCS rats (Nat Mat 2017). This research demonstrated significant recovery of light sensitivity and visual acuity, accompanied by increased metabolic activity in the visual cortex.

Current Projects

Dr. Maya-Vetencourt is currently working on adapting surgical implant procedures for pig models to evaluate biocompatibility and visual function recovery (Front Bioeng Biotech 2020). He is also developing innovative “liquid” retinal prostheses to address age-related macular degeneration (Nat Nanotech 2020a, 2020b).

Future Directions

Dr. Maya-Vetencourt continues to advance the field of neuroscience by developing novel, biocompatible, and cost-effective solutions for neurodegenerative diseases, aiming to improve therapeutic outcomes for patients with degenerative blindness.

 

 

📝🔬Publications📝🔬

  • 1. Edoardo Porzano, Benedetta Borghi, José Fernando Maya-Vetencourt. 2024.
    Environmental enrichment as an innovative therapeutic approach to treat neurodegenerative
    blindness (in preparation)
    2. Edoardo Porzano, Dominga Lapi, Benedetta Borghi, Silvia Marracci, Melecchi Alberto,
    Giovanni Casini, José Fernando Maya-Vetencourt. 2024. Enriched environment
    enhances visual responses of the inner retina in early-stage retinitis pigmentosa (in
    preparation)
    3. Dmytro Shmal, Giulia Mantero, Thomas Floss, Fabio Benfenati, José Fernando MayaVetencourt. 2024. Restoring vision in adult amblyopia by enhancing plasticity through
    deletion of the transcriptional repressor REST. iScience 27(4): 109507. IF 5.8
    4. Ilaria Piano, Arianna Votta, Patrizia Colucci, Francesca Corsi, Sara Vitolo, Chiara Cerri, Dario
    Puppi, Michele Lai, José Fernando Maya-Vetencourt, Massimiliano Leigheb, Chiara
    Gabellini, Elisabetta Ferraro. 2023. Anti-inflammatory reprogramming of microglia cells by
    metabolic modulators to counteract neurodegeneration: a new role for Ranolazine. Scientific
    Reports 13: 20138. IF 5.13
    5. Simona Francia, Stefano Di Marco, Mattia Lorenzo DiFrancesco, Davide Ferrari, Dmytro
    Shmal, Alessio Cavalli, Grazia Pertile, Marcella Attanasio, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati, Elisabetta Colombo.
    2023. P3HT-Graphene device for the restoration of visual properties in a model of retinitis
    pigmentosa. Advanced Materials Technologies 8: 2201467. IF 8.86
    6. Domenico Ventrella*, José Fernando Maya-Vetencourt*, Alberto Elmi, Francesca Barone,
    Camilla Aniballi, Luisa Vera Muscatello, Maurizio Mete, Grazia Pertile, Fabio Benfenati, Maria
    Laura Bacci. 2022. The p-ERG spatial acuity in the biomedical pig under physiological
    conditions. Scientific Reports 12: 15479. IF 5.13
    7. Simona Francia, Dmytro Shmal, Stefano Di Marco, Greta Chiaravalli, José Fernando MayaVetencourt, Giulia Mantero, Caterina Michetti, Sara Cupini, Giovanni Manfredi, Mattia
    Lorenzo DiFrancesco, Anna Rocchi, Sara Perotto, Marcella Attanasio, Riccardo Sacco, Silvia
    Bisti, Maurizio Mete, Grazia Pertile, Guglielmo Lanzani, Elisabetta Colombo, Fabio Benfenati.
    2022. Light induced charge generation in polymeric nanoparticles restores vision in
    advanced-stage retinitis pigmentosa rats. Nature Communications 13: 3677. IF 17.69
    8. Miguel Skirzewski, Stéphane Molotchnikoff, Luis F Hernandez, José Fernando MayaVetencourt. 2022. Multisensory integration: is medial prefrontal cortex signaling relevant for
    the treatment of higher-order visual dysfunctions? Frontiers in Molecular Neuroscience
    14: 806376. IF 5.63
    9. Stefano di Marco, Mattia Di Francesco, Elisabetta Colombo, Giovanni Manfredi, José
    Fernando Maya- Vetencourt, Guglielmo Lanzani, Fabio Benfenati. 2020. Modulation of
    neuronal firing: what role can nanotechnology play? Nanomedicine 8: 579141. IF 4.7
    10. José Fernando Maya-Vetencourt, Stefano Di Marco, Maurizio Mete, Mattia Di Paolo,
    Francesca Barone, Domenico Ventrella, Giovanni Manfredi, Silvia Bisti, Guglielmo Lanzani,
    Grazia Pertile, Maria Laura Bacci, Fabio Benfenati. 2020. Biocompatibility of a polymeric
    subretinal prosthesis in the domestic pig. Frontiers in Bioengineering and
    Biotechnology 8: 1188. IF 6.06
    11. José Fernando Maya-Vetencourt, Giovanni Manfredi, Maurizio Mete, Elisabetta Colombo,
    Mattia Bramini, Mattia DiFrancesco, Dmytro Shmal, Cyril Eleftheriou, Francesca Di Maria,
    Vanessa Cossu, Laura Emionite, Flavia Ticconi, Cecilia Marini, Gianmario Sambuceti, Grazia
    Pertile, Guglielmo Lanzani, Fabio Benfenati. 2020. Subretinal semiconducting polymer
    nanoparticles fully rescue vision in a rat model of retinal dystrophy. Nature
    Nanotechnology 15: 698. IF 40.5
    12. DiFrancesco Mattia, Elisabetta Colombo, Ermanno Papaleo, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati. 2020. A hybrid P3HTGraphene interface for efficient photostimulation of neurons. Carbon 162: 308. IF 11.3
    13. Francesca Barone, Luisa Vera Muscatello, Domenico Ventrella, Alberto Elmi, Noemi
    Romagnoli, Luciana Mandrioli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2020. The
    porcine iodoacetic acid model of retinal degeneration: morpho-functional characterization of
    the visual system. Experimental Eye Research 193 107979. IF 3.77
    14. Mattia DiFrancesco, Francesco Lodola, Elisabetta Colombo, Luca Maragliano, Giuseppe M.
    Paternò, Mattia Bramini, Simone Cimò, Letizia Collela, Daniele Fazzi, José Fernando MayaVetencourt, Chiara Bertarelli, Guglielmo Lanzani, Fabio Benfenati. 2020. Neuronal firing
    modulation by a membrane-targeted photoswitch. Nature Nanotechnology 15(4): 296. IF
    40.5
    15. Stéphane Molotchnikoff, Vishal Bharmauria, Nayan Chanauria, Lyes Bachatene, José
    Fernando Maya- Vetencourt. 2019. The function of connectomes in encoding sensory
    stimuli. Progress in Neurobiology 101659. IF 14.16
    16. Luisa Vera Muscatello, Francesca Barone, Domenico Ventrella, Alberto Elmi, Luciana
    Mandrioli, Noemi Romagnoli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2019.
    Retinal features in iodoacetic-treated biomedical pigs as a model for photoreceptor disorders.
    Journal of Comparative Pathology 166: 103. IF N.A.
    17. Francesca Barone, Eleonora Nannoni, Alberto Elmi, Domenico Ventrella, Marika Vitali,
    Giovanna Martelli, José Fernando Maya-Vetencourt, Fabio Benfenati, Maria Laura Bacci.
    2018. Behavioral assessment of vision in pigs. Journal of the American Association for
    Laboratory Animal Science 57(4): 350. IF 1.34

Liwei Deng- Autonomous Driving- Best Researcher Award

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Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).（WOS:001139763600001）
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–（WOS:001098686900001）
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–（WOS:0011269599000 24）
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.（WOS:001050358900001）
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.（WOS:001025791800001）
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.（WOS:000816995100001）
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.（WOS:00177860300006）
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.（WOS:001008469300001）
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029（WOS:000986658100 001）
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.（WOS:000932261100001）
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.（WOS:001006917800001）
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.（WOS:000961765200002）
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.（WOS:000990481800001）
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.（WOS:000980836000018）
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.（WOS:000934806000001）
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.（WOS:000822102200001）
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.（WOS:000792418600001）
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.（WOS:000662668300001）

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI：20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI：20204009254996).

Ali Vaezi- Network Science Awards- Best Researcher Award

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Ali Vaezi- Network Science Award – Best Researcher Award

Mr. Ali Vaezi distinguished academic and researcher in the field  Network Science. He is an experienced data analyst at Parva Co. in Tehran, Iran, where he has been driving operational excellence and optimizing supply chains for automotive parts suppliers since October 2019. His responsibilities include utilizing data analysis, implementing process improvements, and fostering cross-functional collaboration. Notably, he has developed data models and dashboards to deliver valuable insights to leadership, leading to a 10% reduction in inventory management costs.

In addition to his professional role, he has served as a teaching assistant at Science & Research University from 2020 to 2023, supporting courses such as Computer Programming, Operational Research 2, Quality and Productivity Management, Decision-Making Analysis, and Systems Analysis. In this capacity, he provided individual tutoring to over 250 students and assisted professors with exam preparation, grading, and facilitating review sessions.

Furthermore, he is an active volunteer member of the Iran Project Management Association since April 2023. In this role, he contributes to the advancement of project management practices through professional development, training, research, and knowledge sharing. He actively participates in association programs aimed at promoting certification, events, and seminars within the field.

🌐 Professional Profiles

Educations📚📚📚

He pursued his Bachelor of Science in Industrial Engineering at Islamic Azad University, Science & Research Branch in Tehran, Iran, from September 2019 to July 2023. During his undergraduate studies, he demonstrated strong academic performance, maintaining a GPA ranging from 3.69/4 to 3.75/4 in his last two years. His coursework included a variety of essential subjects such as Operational Research (1,2), Computer Programming, Probability Theory and its Application, Engineering Statistics, Production Planning, and Principles of Simulation.

Prior to his university education, he completed his Pre-University Diploma in Mathematics and Physics at Allameh Tabatabaei High School in Tehran, Iran, from September 2018 to May 2019. He achieved an outstanding GPA of 18.91/20 during this period, laying a solid foundation for his academic journey in industrial engineering.

Research interests

His research interests encompass a diverse range of topics within the realm of data analytics, machine learning, statistical modeling, operations research, and data science integration. He is particularly drawn to scalable technologies and real-time processing in data analytics, seeking innovative solutions to handle large volumes of data efficiently. Within machine learning, his focus lies in classification, regression, clustering, and deep learning techniques, aiming to uncover patterns and insights from complex datasets.

In statistical modeling for optimization, he is intrigued by predictive modeling, time series analysis, and Bayesian methods, utilizing statistical techniques to enhance decision-making processes. Additionally, he explores the integration of operations research and data science, leveraging mixed-integer linear programming (MILP), metaheuristics, and addressing optimization challenges in real-world applications.

Moreover, he is passionate about interactive data visualization, emphasizing the creation of engaging visuals for effective data communication and decision support. Through his research pursuits, he endeavors to contribute to advancements in these interdisciplinary fields, bridging theory with practical applications to address contemporary challenges.

Honors and Awards:

Received top marks (grade point average above 17) for six semesters during bachelor’s degree at Azad
University
– Recognized as an exceptional student (Elite Student status) based on high academic performance –
ranked in the top 5% of the program
– Secured first place in the idea competition held at Science & Research University, competing against
20 teams.

📝🔬Publications📝🔬

Syarifuddin – Network Science – Best Researcher Award

Published on by Network Science

Mr.  Syarifuddin distinguished academic and researcher in the field Network science.He has been actively engaged in research and academic roles at Hasanuddin University, Indonesia. Since 2022, he has served as a Junior Researcher at the Laboratory of Materials and Energy Physics, where he contributes to various research projects. Additionally, he has been part of the Publication Management Center since 2022, where he collaborates with teams to oversee publication-related activities. Prior to these roles, from 2020 to 2022, he gained experience as a Research Assistant at the Laboratory of Materials and Energy Physics, further solidifying his expertise in the field.

🌐 Professional Profiles

Educations📚📚📚

Since 2018, he has been pursuing his undergraduate studies at Hasanuddin University, focusing on Materials Physics within the Faculty of Mathematics and Natural Sciences. Currently, he is a graduate student at the same university, specializing in Biocomposite Nanomaterials under the Faculty of Mathematics and Natural Sciences, a path he embarked on in 2023.

He was the recipient of the Bidikmisi scholarship, an Indonesian government education assistance program, from 2018 to 2021 while studying at Hasanuddin University. This scholarship provided him with financial support to pursue his undergraduate studies, highlighting his academic achievements and dedication to his education

WORK EXPERIENCE 🧬🔗

He possesses a diverse range of scientific expertise spanning various areas. His scientific interests revolve around Nonlinear Material Structure and Dynamics, encompassing bifurcation analysis, nonlinear waves, and nanomaterial dynamics in biocomposites. Additionally, he excels in Synthesis and Characterization, adept in synthesis methods and material characterization techniques. Furthermore, he demonstrates proficiency in exploring Technology Applications such as environmentally friendly materials, nanomaterial-based drug delivery platforms, and nanoscale electronic devices. His skills extend to Research Trend Analysis and research network mapping, facilitating visualization of research networks and trends. With language proficiency in both Indonesian (native) and English (intermediate), he effectively communicates his findings. In terms of technical expertise, he is well-versed in PC Operation System with Microsoft Windows, programming languages including MatLab and Rstudio, and various office suites/publishing tools like Microsoft Office and LaTeX. Moreover, he exhibits proficiency in graphics software such as Tableau, Citespace, VosViewer, CorelDraw, Origin Pro, ImageJ, and HighScore.

 

 

 

 

 

 

 

 

 

 

Sajal Halder – Network Science – Best Researcher Award

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Sajal Halder – Network Science

Dr. Sajal Halder distinguished academic and researcher in the field Network science. He is currently working as a Research Fellow at Charles Sturt University, Australia. He has completed PhD in Computer Science at RMIT University and he has been appointed as an Assistant Professor (on study leave) at Jagannath University, Bangladesh since August 2017. His research interests are Personalized Itinerary Recommendation Systems, Machine Learning, Data Mining, Periodic Behavior Mining in Large-Scale Graph, Trajectory Behavior Analysis and Real Life Big Data Analysis.

Eduvation

He completed his academic journey with a stellar record, culminating in a Doctor of Philosophy (PhD) from the School of Computing Technologies at the Royal Melbourne Institute of Technology (RMIT) University in Melbourne, Victoria, Australia, with graduation in December 2022. His research focus during his doctoral studies was on the development of itinerary recommendation systems using deep learning methodologies. Under the guidance of A/Prof Jeffrey Chan and Prof. Xiuzhen Zhang, he contributed to the advancement of knowledge in this domain.

Prior to his doctoral pursuits, He earned a Master of Engineering in Computer Engineering from Kyung Hee University in South Korea, graduating with distinction in August 2013. His academic excellence is underscored by an impressive Cumulative Grade Point Average (CGPA) of 4.23/4.30 (95.25%). His master’s thesis, conducted under the supervision of Prof. Young-Koo Lee, delved into the exploration of supergraph-based periodic behaviors mining in dynamic social networks.

Commencing his academic journey,  he achieved a Bachelor of Science in Computer Science and Engineering from the University of Dhaka, Bangladesh, with graduation in November 2010. Displaying academic prowess, he secured a CGPA of 3.60/4.00, securing the 5th position out of 59 students. His final undergraduate project, conducted under the guidance of Supervisor Ashis Kumar Biswas, focused on the classification of multiple protein sequences through the analysis of irredundant patterns.

In summary, his educational background reflects a trajectory marked by academic excellence and a commitment to cutting-edge research in the fields of computer science and engineering.

Professional Profiles:

EXPERIENCE

• We developed a metadata-based malicious and benign package detection model for the NPM repository.
• We introduced two sets of features, easy to manipulate (ETM) and difficult to manipulate (DTM),
where manipulating DTM depends on long-term planning and monotonic properties. Then, we verify
our feature selection effectiveness based on four well known machine learning and one deep learning
techniques.
• We also analyse algorithms’ performance using metadata manipulation and recommend better metadata adversarial attack-resistant algorithms.
• Experiment analysis shows that our proposed model reduces 97.56% False Positive and 80.35 % False
Negative number.
• Achievement 1: Sajal Halder et al. ”Malicious Package Detection using Metadata Information”, In
submission (A* Conference).
• Achievement 2: Sajal Halder et al. ”Install Time Malicious Package Detection on NPM Repository”,
In process.
Skills: Feature Engineering, Data Scraping, Open Source Software, Machine Learning Model, Deep Learning,
Python, Report/Article Writing, Data Visualization and Teamw

PhD Researcher, RMIT University Melbourne, Australia.

i. Project Title: Capacity aware Fair POI Recommendation using Users Satisfaction.
Innovation: Design a novel fair POI recommendation model considering POI capacity and users preferences.
Language and Tools: Python, Actor-critic network, GCN, Tensorflow, Neural Network, Graph Allocation and Optimization
Duration: July 2021 to date.
ii. Project Title: Deep reinforcement learning of dynamic POI generation and optimization for itinerary
recommendation
Innovation: Propose and implement deep actor-critic network based itinerary recommendation model
named DRLIR.
Language and Tools: Python, AWS, Actor-critic network, GCN, Tensorflow, Neural Network
Duration: January 2021 to June 2021.
iii. Project Title: POI Recommendation with Queuing Time and User Interest Awareness
Innovation: Improve users interest based multi-tasking based transformer architecture models (TLR U
and TLR-M UI) for best POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: March 2020 to December 2020.
iv. Project Title: Transformer-based Multi-tasking for Queuing Time Aware Next POI Recommendation
Innovation: Design and implement multi-tasking based transformer architecture models (TLR and
TLR-M) for better POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: August 2019 to February 2020.
v. Project Title: Efficient Itinerary Recommendation via Personalized POI Selection and Pruning
Innovation: Develop efficient personalized itinerary recommendation model (EffiTourRec).
Language and Tools: R-studio, Lucid Chart, Overleaf, MatLab.
Duration: August 2018 to July 2019.

Research/Project Member
i Research Group: VLSI Research Group, Department o f Computer Science and Engineering, University of Dhaka, Bangladesh
Supervisor: Professor Dr. Hafiz Md. Hasan Babu
Duration: July 2016 to June 2018.
ii Project Name: Establishment of Basic Campus Network in Jagannath University
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: January 2017 to July 2018.
iii Project Name: Establishment of Basic Campus Network on Bangabandhu Sheikh Mujibur Rahman
Science & Technology University,
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: June 2015 to July 2016

Journal/ Conference Reviewers

• Engineering Applications of Artificial Intelligence (Q1 Ranked Journal, IF: 7.8)
• Information Process and Management (Q1 Ranked Journal, IF: 7.47)
• Applied Soft Computing (Q1 Ranked Journal, IF: 8.7)
• Scientific Reports (Q1 Ranked Journal, IF: 4.6)
• IEEE Transactions on Computational Social Systems (Q1 Ranked Journal, IF: 4.74)
• Transactions on Knowledge Discovery from Data (Q1 Ranked Journal, IF: 4.2)
• IEEE Access (Q1 Ranked Journal, IF 3.367)
• Expert System with Applications, (Q1 Ranked Journal, IF 6.954)
• World Wide Web (Q1 Ranked Journal, IF: 3.00)
• Knowledge and Information Systems (Q1 Ranked Journal, IF: 2.82)
• Neural Processing Letters (IF: 3.1)

SELECTED PUBLICATIONS

1. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang.A Survey on Personalized Itinerary
Recommendation: From Optimisation to Deep Learning. In Applied Soft Computing Journal, 111200,
2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

2. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. In Applied Soft
Computing Journal, pages 110720, 2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

3. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. POI Recommendation with Queuing
Time and User Interest Awareness. In Data Mining and Knowledge Discovery, 2022, Q1 Ranked
Journal, (Impact Factor – 5.406). Publisher: Springer.

4. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Efficient Itinerary Recommendation
via Personalised POI Selection and Pruning. In Knowledge and Information Systems, Volume 64, Pages
963–993, 2022. Q1 Ranked Journal, (Impact Factor – 2.53), Publisher: Springer.

5. Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Transformer-based Multi-task
Learning for Queuing Time Aware Next POI Recommendation. In the 25th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD-2021), A Ranked Conference.

6. Sajal Halder, Md. Samiullah and Young-Koo Lee. Supergraph based Periodic Patterns Mining in
Dynamic Social Networks. Expert Systems with Applications-An International Journal. volume 72,
pages 430-442, 2017, Q1 Ranked Journal, (Impact Factor – 6.954). Publisher: Elsevier.
7. MS Rahman, Sajal Halder, MA Uddin, UK Acharjee, An efficient hybrid system for anomaly detection in social networks. In Cybersecurity, Q1 ranked Journal, (Impact Factor – 6.27), 2021, Volume 4,
Pages 1-11, Publisher: Springer.

8. Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, YoungKoo Lee, Sungyoung Lee. Smart CDSS: Integration of Social Media Interaction Engine (SMIE) in
Healthcare for Chronic Disease Patients. Multimedia Tools and Applications, pages 1-21, 2013, Q1
Ranked Journal, (Impact Factor – 2.757), Publisher: Springer.

9. Yongkoo Han, Kisung Park, Donghai Guan, Sajal Halder, and Young-Koo Lee. Topological Similarity
based Feature Selection for Graph Classification. In the Computer Journal, bxt123, 2013, Q2 Ranked
Journal, (Impact Factor – 0.755), Publisher: Oxford University Press.

Shahid Alam – Network science

Published on by Network Science

Dr. Shahid Alam – Leading Researcher in Network Science

Education📚

🎓 He pursued his academic journey in the field of Applied Physics, culminating in a Ph.D. from the GIK Institute of Engineering Sciences and Technology (GIKI), Pakistan, spanning from August 2018 to July 2021. Prior to that, he earned his Master’s degree in Applied Physics at GIKI, completing the program from January 2016 to April 2018. His educational foundation in Physics was laid during his undergraduate years, where he obtained a Bachelor of Science (Hons) in Physics from Hazara University, Mansehra, Pakistan, from September 2011 to August 2015. These years of dedicated study and research have equipped him with a strong academic background and a passion for the applied sciences. 📚🔬

 

Professional Profiles:

RESEARCH EXPERIENCE

🎓 He embarked on a fascinating research journey as a Ph.D. researcher from August 2018 to July 2021 at the Nanotechnology Research Laboratory, GIK Institute in Pakistan. Delving into the captivating realm of nanotechnology, his focus centered on unraveling the synergistic potential inherent in the combination of metal phosphates and sulfides. This exploration was driven by the aspiration to unearth novel applications in the realm of supercapattery devices, propelling the boundaries of energy storage technology.

🔬 During his tenure as an MS research student from July 2016 to April 2018 at GIK Institute, he dedicated himself to investigating innovative approaches in the field. His research endeavor revolved around the fabrication of inverted perovskite solar cells, where Cadmium Sulphide played a pivotal role as the electron transport layer. This pursuit was not merely an academic endeavor; rather, it was a passionate quest to contribute to the advancements in solar energy technology, seeking sustainable solutions for a brighter and cleaner future. 🌞

CAREER HISTORY

🎓 He has a diverse and enriching career history that spans various roles in academia and research. Since September 2021, he’s been serving as an Assistant Professor in the Department of Physics at Abbottabad University of Science and Technology in Havelian. In addition to his teaching responsibilities, he’s taken on the role of Departmental Controller of Examination since April 2022, overseeing internal examinations within the Department of Physics.

His journey in academia began as a Graduate Assistant at the GIK Institute of Engineering Sciences and Technology, Pakistan, where he was involved from January 2016 to January 2018. This early experience laid the foundation for his subsequent roles and allowed him to contribute meaningfully to the academic and research community. 🌐🔬

PUBLICATIONS
  1. Advancements in asymmetric supercapacitors: Material selection, mechanisms, and breakthroughs with metallic oxides, sulfides, and phosphates – Journal of Energy Storage, 2023, 72, 108208
  2. Binary composites of strontium oxide/polyaniline for high performance supercapattery devices
    MZ Iqbal, S Alam, AM Afzal, MJ Iqbal, K Yaqoob, MA Kamran, MRA Karim, …
    Solid State Ionics 347, 115276
  3. Green synthesis of nickel‐manganese/polyaniline‐based ternary composites for high‐performance supercapattery devices
    S Alam, MZ Iqbal, J Khan
    International Journal of Energy Research 45 (7), 11109-11122
  4. Binary composites of nickel-manganese phosphates for supercapattery devices
    M Alzaid, MZ Iqbal, S Alam, N Almoisheer, AM Afzal, S Aftab
    Journal of Energy Storage 33, 102020
  5. Recent advancement in the performance of solar cells by incorporating transition metal dichalcogenides as counter electrode and photoabsorber
    MZ Iqbal, S Alam, MM Faisal, S Khan
    International Journal of Energy Research 43 (8), 3058-3079
  6. Binary composites of sonochemically synthesized cobalt phosphates/polyaniline for supercapattery devices
    F Alam, MZ Iqbal, S Alam, N Alhassan
    Journal of Energy Storage 42, 103150
  7. Magnetron sputtered tungsten di-sulfide: An efficient battery grade electrode for supercapattery devices
    S Alam, MZ Iqbal, N Amjad, R Ali, M Alzaid
    Journal of Energy Storage 46, 103861
  8. Exalted redox frameworks of Cu-MOF/polyaniline/RGO based composite electrodes by integrating silver nanoparticles as a catalytic agent for superior energy featured supercapatteries
    M Roman, SSA Gillani, S Farid, M Shakil, R Ahmad, MZ Iqbal, MM Faisal, …
    Electrochimica Acta 400, 139489
  9. Enhanced electrochemical performance of battery‐grade cobalt phosphate via magnetron sputtered copper interfacial layer for potential supercapattery applications
    MZ Iqbal, J Khan, S Alam, R Ali, MJ Iqbal, AM Afzal, S Aftab
    International Journal of Energy Research

 

 

Chun Cao | Network Science

Published on by Network Science
  Dr.  Chun Cao – Network Science

Academician/Research Scholar

Congratulations,Dr.  Chun Cao – Network Science , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Wishing you continued success and many more milestones in your illustrious research journey. Your impact on the field is truly commendable and serves as a beacon of inspiration for aspiring researchers.

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

    • Doctor degree of medicine in West China Clinical Medical School of Sichuan univeresity.
    • Major; Hematology (Stem cell transplantation)
    • Bechelor and Master degree of Medicine in West china Clinical Medical School of sichuan University.

Awards:

1.The second prize for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

2.The best teaching plan award for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

publication;

1. Cao C, Wang T, Luo Y, Zhang Y, Dai YY, Shen Y. Comprehensive analysis of cuproptosis-associated LncRNAs predictive value and related CeRNA network in acute myeloid leukemia. Heliyon. 2023;9(12):e22532. Published 2023 Nov 25. doi:10.1016/j.heliyon.2023.e22532
2. Cao C, Zhang L, Sorensen MD, et al. D-2-hydroxyglutarate regulates human brain vascular endothelial cell proliferation and barrier function [published correction appears in J Neuropathol Exp Neurol. 2023 Nov 07;:]. J Neuropathol Exp Neurol.
2023;82(11):921-933. doi:10.1093/jnen/nlad0723. Cao C, Li X, Liu T, Zhang L, Shen K, Zhu H. Human organic cation transporter 1 protein levels of granulocytes can optimize imatinib therapy in patients with chronic myeloid leukemia. Acta Haematol. 2015;133(2):199-204. doi:10.1159/0003654374. Cao C, Liu T, Zhu H, Wang L, Kai S, Xiang B. Bortezomib-contained chemotherapy and thalidomide combined with CHOP (Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone) play promising roles in plasmablastic lymphoma: a case report and literature review. Clin Lymphoma Myeloma Leuk. 2014;14(5):e145-e150. doi:10.1016/j.clml.2014.03.002
5. Cao C, Liu S, Lou SF, Liu T. The +252A/G polymorphism in the Lymphotoxin-α gene and the risk of non-Hodgkin lymphoma: a meta-analysis. Eur Rev Med Pharmacol Sci. 2014;18(4):544-552.
6.Cao C, Liu T, Lou S, Liu W, Shen K, Xiang B. Unusual presentation of duodenal plasmablastic lymphoma in an immunocompetent patient: A case report and literature review. Oncol Lett. 2014;8(6):2539-2542. doi:10.3892/ol.2014.26047.Sun Y, Wei C, Cao C, et al. New Strategy of Acute Graft-vs-Host Disease: Investigation of a Reduced Dose of Antithymocyte Globulin in Haploidentical Hematopoietic Stem Cell Transplantation. Transplant Proc. 2019;51(3):890-895. doi:10.1016/
j.transproceed.2018.10.028

Fan Xu | Network Science

Published on by Network Science
 Prof Dr.  Fan Xu | Network Science

Academician/Research Scholar

Congratulations, Prof Dr.  Fan Xu | Network Science , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Wishing you continued success and many more milestones in your illustrious research journey. Your impact on the field is truly commendable and serves as a beacon of inspiration for aspiring researchers.

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

  • Bachelor’s Degree (B.S):
    • Major: Pharmacology
    • Institution: Chengdu Medical College
    • Duration: 2003-2007
  • Master’s Degree (M.D):
    • Major: Biochemistry and Molecular Biology
    • Institution: Chongqing Medical University
    • Duration: 2009-2012
  • Doctoral Degree (Ph.D):
    • Major: System Biology
    • Institution: Chongqing Medical University
    • Duration: 2012-2015
  • Visiting Scholar:
    • Institution: Peking University Medical School (Beijing, China)
    • Duration: 2019-2020
    • Certificate Number: 2020059

Teaching Certification:

  • Teaching Certification (China):
    • Certificate Number: 20195100171005018
    • Qualified as a senior faculty member at higher education institutions.

Honors and Certificates:

  • Certificates from Sichuan Province:
    1. Certificate of Overseas Study (川留​​F397 号)
    2. Certificate of High-level Overseas Talents (川留​​F311 号)
  • Other Honors:
    1. Various awards and recognitions for scientific research, teaching, and innovation from Chengdu Medical College.
    2. Outstanding contributions and awards from external organizations and employers.

Research Interests:

  1. Behavioral Genetics and Cognitive Sciences
  2. Systems Biology and Integration of Omics Data
  3. Advanced Analysis of Medical Imaging

Author Information:

  • ResearcherID: HLW-1600-2023

Published Papers (Selected): Note: List includes some papers from 2022 and 2023.

  1. Correlation analysis between EEG data and facial expressions and sleep behaviors (2023)
  2. Accuracy of Raman spectroscopy in the diagnosis of Alzheimer’s disease (2023)
  3. Serum uric acid to serum creatinine ratio predicts neurological deterioration in branch atheromatous disease (2023)
  4. Endothelial function and arterial stiffness indexes in subjects with carotid plaque (2023)
  5. Landmarks in pancreatic cancer studies (2022)
  6. Vigilant Attention, Cerebral Blood Flow, and Grey Matter Volume Change after Acute Sleep Deprivation (2022)
  7. Depression symptoms and quality of life in empty-nest elderly (2022)
  8. Carotid plaque components and other carotid artery features associated with the risk of stroke (2022)
  9. Facial muscle movements in patients with Parkinson’s disease undergoing phonation tests (2022)
  10. A systematic review and meta-analysis comparing the ability of diagnostic of the third heart sound and left ventricular ejection fraction in heart failure (2022)