Om Prakash – Computer Vision – Best Researcher Award

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Om Prakash – Computer Vision – Best Researcher Award

Dr. Om Prakash  distinguished academic and researcher in the field Computer Vision.

🌐 Professional Profile

Educations📚📚📚

He earned his Doctor of Philosophy from the University of Allahabad, Allahabad, U.P., India, in November 2014. He has extensive experience in academia and industry. Since March 2020, he has been an Assistant Professor at Academic Pay Level-10 in the Department of Computer Science and Engineering, School of Engineering and Technology, HNB Garhwal University, Srinagar Garhwal, Uttarakhand, India. From May 2019 to February 2020, he worked as a Computer Vision Scientist at Inferigence Quotient LLP, Bengaluru, Karnataka, India. Prior to this, he served as an Assistant Professor in the Department of Computer Science and Engineering at NIRMA University, Ahmedabad, Gujarat, India, from May 2018 to April 2019. Between March 2016 and April 2018, he was a faculty member at the Centre of Computer Education, University of Allahabad, U.P., India. He also completed a Postdoctoral Fellowship at the Gwangju Institute of Science and Technology, South Korea, from March 2015 to February 2016. His earlier experience includes serving as a faculty member at the Centre of Computer Education, University of Allahabad, U.P., India, from August 2007 to February 2

Research Interests

• Computer Vision
• Image and Video Processing
• Wavelet transforms
• Multisensory data fusion
• Video surveillance
• Machine Learning/Deep Learning
• Thermography
• Medical Imaging

Book Edited as Guest Editor

AKS Kushwaha, Om Pakash, M. Khare, J. Gwak, N.T. Binh, “Visual and Sensory Data Processing
for Real Time Intelligent Surveillance System”, Multimed Tools Appl, vol.81, pp. 42097–42098
(2022). https://doi.org/10.1007/s11042-022-14263-3, Springer

 

📝🔬Publications📝🔬

1. Pratibha Maurya, Arati Kushwaha, Ashish Khare, Om Prakash, Balancing Accuracy and
Efficiency: A Lightweight Deep Learning Model for Covid-19 Detection” Journal
Engineering Applications of Artificial Intelligence. vol. 136, Part B, July 2024, 108999,
ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2024.108999., Elsevier. (SCI).
2. Arati Kushwaha, Ashish Khare, Om Prakash, Human activity recognition algorithm in video
sequences based on the fusion of multiple features for realistic and multi-view
environment. Multimedia Tools and Applications. vol.83, pp. 22727-22748, August 2024,
Springer (SCI)
(https://doi.org/10.1007/s11042-023-16364-z)
3. Neha Sisodiya, Nitant Dube, Om Prakash, Priyank Thakkar, Scalable Big Earth
Observation Data Mining Algorithms: A Review. Earth Science and Informatics, vol.16,
pp. 1993–2016, June 2023, Springer (SCI). https://doi.org/10.1007/s12145-023-01032-5.
4. Ashish Khare, Arati Kushwaha and Om Prakash, Human Activity Recognition in a Realistic
Unconstrained and Multiview Environment using 2D-CNN. Journal of Artificial
Intelligence and Technology (JAIT). vol.3, pp. 100-107, May 2023, Intelligence Science
and Technology Press. (ISTP) (Scopus). (https://doi.org/10.37965/jait.2023.0163)
5. Arati Kushwaha, Ashish Khare, Om Prakash, “Micro-network-based deep convolutional
neural network for human activity recognition from realistic and multi-view visual
data”, Neural Comput & Applic (2023). vol.35, pp.13321–13341, Springer (SCI).
(https://doi.org/10.1007/s00521-023-08440-0)
6. Arati Kushwaha, Ashish Khare, Om Prakash and Manish Khare, “Dense optical flow
based background subtraction technique for object segmentation in moving camera
environment”, IET Image Processing, vol. 14, no. 14, pp. 3393-3404, December 2020, IET
Publication. (SCI)
(https://doi.org/10.1049/iet-ipr.2019.0960).
7. Mounika B. Reddy, Om Prakash, Ashish Khare, “Keyframe extraction using Pearson correlation
coefficient and color moments,”. Multimedia Systems, vol. 26, pp.267–299 (2020), Springer. (SCI)
(https://doi.org/10.1007/s00530-019-00642-8).

8. Mounika B. Reddy, Om Prakash, Ashish Khare, “Video Superpixels Generation through
Integration of Curvelet transform and Simple Linear Iterative Clustering”, Multimedia Tools and
Applications, vol. 78, pp. 25185–25219, March 2019, Springer. (SCI)
(https://doi.org/10.1007/s11042-019-7554-z).

9. Om Prakash, Chang Min Park, Ashish Khare, Moongu Jeon, Jeonghwan Gwak, “Multiscale
Fusion of Multimodal Medical Images using Lifting Scheme based Biorthogonal Wavelet
Transform,” Optik, vol. 182, pp.995-1014, April 2019, Elsevier (SCI)
(https://doi.org/10.1016/j.ijleo.2018.12.028)
10. Manish Khare, Om Prakash and Rajneesh Kumar Srivastava, “Combining Zernike moment and
Complex wavelet transform for Human object classification,” Int. J. Computational Vision and
Robotics, May 2018, vol.18, no.2, pp.140-167, Inderscience Publishers. (Scopus)
(https://doi.org/10.1504/IJCVR.2018.091983)
11. Om Prakash, Jeonghwan Gwak, Manish Khare, Ashish Khare, Moongu Jeon, “Human detection in
complex real scenes based on combination of biorthogonal wavelet transform and Zernike
moments,” Optik, vol. 157, pp. 1267-1281, March 2018, Elsevier. (SCI)
(https://doi.org/10.1016/j.ijleo.2017.12.061)
12. Richa Srivastava, Om Prakash and Ashish Khare, “Local Energy based Multimodal Medical
Image Fusion in Curvelet Domain,” IET Computer Vision, vol.10, issue 6, pp. 513-527, 2016. IET
digital library.(SCI)
(https://doi.org/10.1049/iet-cvi.2015.0251)
13. Om Prakash and Ashish Khare, “Tracking of moving object using energy of Biorthogonal wavelet
transform,” Chiang Mai Journal of Science, vol.42, no.3, pp. 783-795, July 2015, Chiang Mai
University. (SCI)
(https://thaiscience.info/Journals/Article/CMJS/10972713.pdf)
14. Om Prakash and Ashish Khare, “Medical Image Denoising based on Soft thresholding using
Biorthogonal Multiscale Wavelet Transform,” International Journal of Image and Graphics, vol.
14, no. 1 & 2, pp. 1450002 (30 pages), March 2014, World Scientific. (SCI)
(https://doi.org/10.1142/S0219467814500028)
15. Alok Kumar Singh Kushwaha, Chandra Mani Sharma, Manish Khare, Om Prakash and Ashish
Khare, “Adaptive real-time motion segmentation technique based on statistical background model,”
The Imaging Science Journal, vol. 62, no.5, pp. 285-302, 2014, Royal Photographic Society.(SCI)
(https://doi.org/10.1179/1743131X13Y.0000000056)
16. Rajiv Singh, Richa Srivastava, Om Prakash and Ashish Khare, “Multimodal medical image fusion
in Dual tree complex wavelet domain using maximum and average fusion rules,” Journal of
Medical Imaging and Health Informatics, vol. 2, no. 2, pp. 168-173, June 2012, American
Scientific Publishers. (SCI)
(https://doi.org/10.1166/jmihi.2012.1080)

Publications in International Conference Proceedings

  • B. Reddy Mounika, Om Prakash, Ashish Khare, “Key Frame Extraction using Uniform Local Binary Pattern,” 2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T), University of Allahabad, Allahabad, 21-23 Sept 2018. IEEE
  • Abhishek Srivastava, Pronaya Bhattacharya, Arunendra Singh, Atul Mathur, Om Prakash, Rajeshkumar Pradhan, “A Distributed Credit Transfer Educational Framework based on Blockchain,” 2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T), University of Allahabad, Allahabad, 21-23 Sept 2018. IEEE
  • Om Prakash, Alok Kumar Singh Kushwaha, Moongu Jeon, “An approach towards Object Tracking based on Rotation Invariant Moments of Complex Wavelet Transform,” in International Conference on Advances in Computing, Control and Communication Technology (IAC3T-2016), University of Allahabad, Allahabad, 25-27 March 2016.
  • Arati Kushwaha, Ashish Khare, Om Prakash, Jong-In Song, Moongu Jeon, “3D Medical Image Fusion using the Dual Tree Complex Wavelet Transform,” in IEEE 4th International Conference on Control, Automation and Information Sciences (ICCAIS-2015), Changshu, China, 29-31 October 2015. IEEE
  • Manish Khare, Om Prakash, Rajneesh Kumar Srivastava, Ashish Khare, “Contourlet Transform based Human Object Tracking,” Proceedings of 27th SPIE Electronic Imaging, Vol. 9410 (Visual Information Processing and Communication VI), 08-12 February 2015, San Francisco, USA. SPIE
  • Om Prakash, Manish Khare, Ashish Khare, “Biorthogonal Wavelet Transform Based Classification of Human Object Using Adaboost Classifier,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, pp. 194-199, 02-05 December 2014. IEEE
  • Manish Khare, Om Prakash, Rajneesh Kumar Srivastava, Ashish Khare, “Daubechies Complex Wavelet Transform Based Approach for Multiclass Object Classification,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, 206-211, 02-05 December 2014. IEEE
  • Prashant Srivastava, Om Prakash, Ashish Khare, “Content-Based Image Retrieval Using Moments of Wavelet Transform,” Proceedings of IEEE 3rd International Conference on Control, Automation and Information Sciences (ICCAIS-2014), Gwangju Institute of Science and Technology (GIST), South Korea, pp. 159-164, 02-05 December 2014. IEEE
  • Om Prakash, Arvind Kumar, Ashish Khare, “Pixel-level Image Fusion Scheme based on Steerable Pyramid Wavelet Transform using absolute Maximum fusion rule,” Proceedings of IEEE International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2014), Ghaziabad, India, pp. 770-775, 07-08 February 2014. IEEE

Toong Hai Sam – Technology Management – Best Researcher Award

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Toong Hai Sam – Technology Management – Best Researcher Award

Prof. Toong Hai Sam distinguished academic and researcher in the field Technology Management. Sam’s illustrious career is marked by a series of commendable achievements and influential roles in the academic and professional arenas. His dedication to innovation and excellence is evident in his diverse experiences and contributions across various sectors and countries.

In December 2018, Sam was recognized as one of the winners of the prestigious ASEAN Young Talented Scientists award, representing Malaysia at the symposium in China. This accolade set the stage for a series of notable academic and professional engagements on a global scale.

 

🌐 Professional Profile

Educations📚📚📚

After completing his PhD, Sam joined INTI International University in August 2018 as a Senior Lecturer in the Faculty of Business, Communication, and Law. Within four months, he advanced to the role of Head of Program for the PhD in Management, DBA, and Australian Degree Transfer Program, establishing himself as an academic leader.

Sam’s entrepreneurial spirit and business expertise are further evidenced by his certification as an Alibaba E-commerce trainer, where he mentors young entrepreneurs in leveraging E-commerce. His active involvement with the Malaysian Oil Palm Council (MPOC) underscores his commitment to promoting awareness of the palm oil industry among Malaysian students.

 Academic Positions

Academic Positions: Sam has held numerous significant academic positions that underline his global impact:

  • Professor at Inti International University & Colleges: As a professor, Sam has been instrumental in advancing the institution’s educational mission.
  • Director of International Relationship & Collaboration Centre at Inti International University: In this role, he has fostered international partnerships and collaborations, enhancing the university’s global footprint.
  • Adjunct Professorships: His academic influence extends to several renowned institutions in China and Indonesia, including Yunnan College of Business Management, Hebei Finance University, Guizhou University, Moutai Institute, and Indonesia International Institute for Life Sciences. These roles highlight his expertise and the high regard in which he is held internationally.

Research and Consultancy:

Sam’s affiliations with esteemed research and academic institutions further demonstrate his commitment to the advancement of knowledge and innovation:

  • Global Academic and Research Collaboration Consultant at Universiti Tun Hussein Onn Malaysia
  • Distinguished Research Fellow and Director of Global Research Collaboration at Beijing Beiguang Biological Sciences Research Center
  • Deputy Director of Guizhou Contemporary and Efficient Agricultural Development Collaborative Innovation Center
  • Research Fellow at the Strategic Development Research Center of Karst Region, Guizhou, China
  • Senior Research Fellow at University of Creative Technology Chittagong, Bangladesh
  • Invited Guest Lecturer at Guilin University of Electronic Technology, Guilin Guangxi, China

Global Impact and Recognition:

In December 2018, Sam was honored as one of the winners of the ASEAN Young Talented Scientists award, representing Malaysia at the symposium in China. His global impact is further highlighted by his numerous academic positions and research affiliations worldwide, including:

  • Professor at Inti International University
  • Director of International Relationship & Collaboration Centre at Inti International University
  • Adjunct Professor at various institutions in China and Indonesia
  • Global Academic and Research Collaboration Consultant at Universiti Tun Hussein Onn Malaysia
  • Distinguished Research Fellow and Director of Global Research Collaboration at Beijing Beiguang Biological Sciences Research Center
  • Senior Corporate Consultant in Malaysia and China

Sam’s professional journey, marked by his strategic approach to integrating IoT and Big Data in farming operations, showcases his dedication to innovation and excellence. Actively engaged in facilitating international research activities, he continues to make significant contributions to teaching, consultancy, commercialization, and scholarly pursuits, shaping the creation and dissemination of knowledge on a global scale.

Early Career and Leadership:

In July 2010, Sam was invited by a leading manufacturer of precision turned components to serve as General Manager. In this role, he led a team of 100 workers, overseeing the entire operation in Batu Pahat and successfully expanding the company’s operations into Vietnam. Under his leadership, the company experienced substantial sales turnover growth and achieved ISO 14001 and ISO/TS16949 certifications, reflecting Sam’s commitment to quality and environmental management.

Focus on the Vietnamese Market:

In March 2011, Sam shifted his focus to the Vietnamese market, stepping down from his roles at Nano Revival Technology and Nano Garden Nursery after eight years of dedicated service. Despite facing initial challenges, he managed to double the sales turnover of both plants in 2011 through the implementation of efficient management practices. Sam continued to drive organizational success until his departure in 2013.

Academic Pursuits and Innovations:

With over nine years of experience in listed companies and more than 14 years in the business world, Sam embarked on an academic journey with full sponsorship from the Ministry Of Higher Education Malaysia (MOHE) for an Industrial PhD at University Tun Hussein Onn Malaysia (UTHM). Beginning in June 2013, his research focused on Biomass Renewable Energy, Agricultural Light Sports Aircraft, and Unmanned Aerial Vehicles (UAV) integrated with a Crop Dusting Device and smart farming management system utilizing IoT technology.

During his five-year industrial PhD studies, Sam developed a diverse skill set, becoming a pilot, light sports aircraft designer, lecturer, researcher, and inventor. He collaborated closely with UTHM, fostering partnerships between industries and university departments through endowments, product R&D collaboration, and knowledge-sharing seminars.

📝🔬Publications📝🔬

  • Inti International University: Nilai, Negeri Sembilan, MY

    2024-01-01 to present | Director (International Relationship & Collaboration Center)
    Employment

  • Moutai Institute: Renhuai, Guizhou, CN

    2023-11-01 to present | Adjunct Professor (Faculty of Management)
    Employment

  • INTI International University: Kampung Baharu Nilai, MY

    2023 to present | Professor (Faculty of Business and Communication)
    Employment

Serena Doria – Technological Networks – Women Researcher Award

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Serena Doria – Technological Networks – Women Researcher Award

Assoc Prof Dr. Serena Doria distinguished academic and researcher in the field Technological Networks. She was responsible for the Ud’A Scienza Project financed under the Call for Scientific Dissemination PANN2020 – Annual Contributions Law 113/91 D.D. 1524 of 21/01/2019, promoted by the MUR. The Ud’A Scienza Project was funded for a total of €72,176, ranking ninth with a score of 55/60 out of 71 admitted projects, and it has a duration of 12 months (from 15.12.2021 to 15.12.2022).

🌐 Professional Profiles

Educations📚📚📚

she graduated in Mathematics, with a focus on Applied Probability, from the University of Rome “La Sapienza” on January 29th, 1992. Since November 1st, 2022, she has been an associate professor in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. From 1995 to 2022, she worked as a researcher in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. Her research interests include coherent conditional forecasts and their extensions, Hausdorff measures and fractal sets, Choquet integral, representation of orderings, equivalences in complex decisions and complex systems, and knowledge representation in Artificial Intelligence.

Conferences

She attended the MTISD’06 Conference on Methods, Models, and Information Technologies to Support Decision Making, held at the University of Naples – L’Orientale, Procida from September 28th to 30th, 2006. She also participated in the MTISD’04 Conference on Methods, Models, and Information Technologies to Support Decision Making, hosted by the Faculty of Economics and Social Sciences, Benevento from June 24th to 26th, 2004. Additionally, she was present at the SIS Intermediate Conference on Process and Statistical Evaluation Methods in Rome from June 4th to 6th, 2001. She took part in the II Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Lipari, Sicily from July 22nd to 26th, 2000. Moreover, she attended the I Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Perugia from April 7th to 9th, 1999. She also participated in the Evolution of Mathematics, its Applications, and its Teaching Conference in Numana from June 4th to 10th, 1999, and the National Mathesis Conference in L’Aquila from October 19th to 21st, 1998. She attended the Days of Combinatorial Geometry in Rome on May 29th and 30th, 1997. Lastly, she was present at the Conference on Methods of Representing Uncertainty in Architecture in Pescara from November 27th to 30th, 1997, and the Conference on Uncertainty Analysis in Economic and Territorial Management in Benevento in May.

 

Internationalizations

She served as an editor, alongside Thomas Augustin and Massimo Marinacci, for the Special Issue of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published in the International Journal of Approximate Reasoning, Volume 84, 39-40, in 2015. Additionally, she was an editor, alongside Thomas Augustin, Enrique Miranda, and Erik Queguebeur, for the Proceedings of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published by Arcne Editrice in 2015. She organized the Ninth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA’15) in Pescara from July 20th to 24th, 2015. Furthermore, she organized the Fifth SIPTA Summer School on Imprecise Probability: Theories and Applications in Pescara from July 16th to 20th, 2012. Since 2001, she has been a member of SIPTA (International Society for Imprecise Probability: Theories and Applications). She served on the Executive Committee of SIPTA from July 14th, 2009, to July 24th, 2011. Since April 2008, she has been a reviewer for Mathematical Reviews (MR). She also served on the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’21) in Granada, Spain, from July 6th to 9th, 2021, and the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’19) in Ghent, Belgium, from July 3rd to 6th, 2019.

 

Scientific Activity

She participated in the PRIN 1997 Research Program – Partial Knowledge and Coherent Probability, led by Professor Romano Scozzafava at La Sapienza University. She also participated in the PRIN 1999 Research Program – Mathematical Models for Uncertainty Treatment and Alternative Project Selection in Architecture and Urban Planning, led by Professor Antonio Maturo at G. d’Annunzio University of Chieti-Pescara, with National Scientific Coordination by Professor Romano Scozzafava at La Sapienza University. She served as a reviewer for national projects as a member of REPRISE (the register of scientific experts established at the MIUR) for the following section: Basic Research. Additionally, she acted as a reviewer for scientific articles within the framework of the VQR 2015-2019. She also reviewed scientific articles for the following international journals indexed in Scopus and/or WoS: International Journal of Approximate Reasoning, Information Sciences, International Journal of Information Technology and Decision Making, Fuzzy Sets and Systems, British Journal of Mathematical and Statistical Psychology, Axioms, and Symmetry.

 

📝🔬Publications📝🔬

Arvind Ramtohul – Human-Computer Interaction – Best Researcher

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Arvind Ramtohul – Human-Computer Interaction

Mr. Arvind Ramtohul  distinguished academic and researcher in the field Human computer interaction. He is an experienced Enterprise Architect and Senior System and Network Administrator with over a decade of hands-on involvement in designing, implementing, supporting, and managing multi-tiered systems. His expertise lies in spearheading digital transformation initiatives and translating strategic objectives into actionable goals. With proficiency across various enterprise-level devices, platforms, middleware, and embedded systems, he has demonstrated a consistent ability to deliver solutions under pressure during critical outages, ensuring timely and budget-conscious implementations.

Moreover, he excels in assessing and enhancing Customer Experience and Engagement, while also evaluating emerging and unproven technologies. Alongside his professional roles, he serves as a part-time Lecturer and Tutor, instructing on Artificial Intelligence and Relational Database Management System modules as he pursues his PhD research in ubiquitous areas such as Augmented Reality (AR), Virtual Reality (VR), Mixed-Reality (MR), and Extended-Reality (XR)

🌐 Professional Profiles

Educations: 📚🎓

He pursued his academic journey with a strong focus on Ubiquitous Computing:

  • PhD in Ubiquitous Computing: Currently enrolled at the University of Mauritius, his research revolves around developing a Mobile Augmented Reality Framework aimed at enhancing User Experience and Engagement. Notably, he successfully transitioned from MPhil to PhD status during his studies.
  • MPhil in Ubiquitous Computing: He earned his Master of Philosophy degree from the University of Mauritius, where his thesis delved into the creation of a Mobile Augmented Reality Framework designed to enhance User Experience and Engagement.
  • BSc (Hons) in Computer Science and Engineering: Graduating with honors from the University of Mauritius, he completed his undergraduate studies with a remarkable Final Year project focused on developing an Indoor Positioning System utilizing WiFi Technology, earning him a Grade A.
  • Higher School Certificate (HSC): During his earlier education at Sir Leckraz Teelock State Secondary School, he excelled in Mathematics (A), Computing (B), and Physics (D), laying the foundation for his subsequent academic pursuits.

 EXPERIENCE

In his role as a Lecturer at Polytechnics Mauritius Ltd, he has been instrumental in shaping the educational experience by:

  • Delivering lectures, tutorials, and seminars, with a focus on Artificial Intelligence and Relational Database Management Systems modules.
  • Creating comprehensive teaching materials to facilitate effective learning.
  • Collaborating with fellow academics to enhance teaching methodologies and broaden the scope of knowledge delivery.
  • Setting and assessing assignments, tests, and examinations to ensure academic rigor.
  • Providing valuable support to students and colleagues alike.

As a Senior Operations Officer/Senior IT Officer at Mauritius Civil Service Mutual Aid Association (MCSMAA) Ltd, he has demonstrated exceptional leadership and expertise in managing various aspects of IT operations:

  • Serving as the backup lead for the IT infrastructure team, with a specialized focus on UNIX, Linux, Storage, Middleware, Windows, Database, Hypervisor, Network, and Security domains.
  • Contributing to strategic IT planning by proposing and executing innovative projects such as E-Services, Active-Active DR Architecture, VMware infrastructure, Content Analysis System (CAS), and WhatsApp messaging, among others.
  • Actively researching and incubating new ideas from emerging technologies, with a particular emphasis on achieving a branchless institution and enhancing customer experience through digital initiatives.
  • Engaging with stakeholders, consultants, and suppliers to facilitate seamless project execution, address pending issues, evaluate emerging technologies, and manage support contracts.
  • Leading the formulation of Request-for-Proposal (RFP) documents, assessing bids, and participating in tender committees to ensure the selection of optimal solutions for new projects.
  • Playing a crucial role in budget preparation for infrastructure projects on an annual basis.
  • Overseeing the optimal functioning of network hardware, security solutions, and IT governance and compliance initiatives, including security audits and Vulnerability Assessment and Penetration Testing (VAPT) exercises.

Publication

  • Augmented reality systems in the cultural heritage domains: A systematic review

    Digital Applications in Archaeology and Cultural Heritage
    2024-02 | Journal article
    DOI: 10.1016/j.daach.2024.e00317
    CONTRIBUTORS: Arvind Ramtohul; Kavi Kumar Khedo

Guangli Wu – Video Summarization – Best Researcher Award

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Guangli Wu – Video Summarization

prof Dr. Guangli Wu  distinguished academic and researcher in the field  Video summarization.  The existence of software vulnerabilities will cause serious network attacks and information leakage problems. Timely and accurate detection of vulnerabilities in software has become a research focus on the security field. Most existing work only considers instruction-level features, which to some extent overlooks certain syntax and semantic information in the assembly code segments, affecting the accuracy of the detection model. In this paper, we propose a binary code vulnerability detection model based on multi-level feature fusion. The model considers both word-level features and instruction-level features. In order to solve the problem that traditional text embedding methods cannot handle polysemy, this paper uses the Embeddings from Language Models (ELMo) model to obtain dynamic word vectors containing word semantics and other information. Considering the grammatical structure in the assembly code segment, the model randomly embeds the normalized assembly code segment to represent it. Then the model uses bidirectional Gated Recurrent Unit (GRU) to extract word-level sequence features and instruction-level sequence features respectively.

Eduvation

He pursued his academic journey with a solid foundation in computer science and technology, earning a Bachelor’s degree from Shandong Technology and Business University in 2003. Building upon this, he delved into the realm of Computer Application Technology, completing his Master’s degree at Northwest Minzu University in 2007. Driven by a passion for cultural diversity and linguistic exploration, he further expanded his expertise by attaining a doctoral degree in Chinese Minority Ethnic Languages and Literature from Northwest Minzu University in 2011. This educational trajectory reflects his commitment to a multidisciplinary approach, seamlessly blending computer technology with a profound understanding of language and culture.
Professional Profiles:

RESEARCH INTEREST

⚫ Video Summarization
⚫ Temporal Language Localization in videos
⚫ Botnet Detection
⚫ Binary Code Vulnerability Detection
⚫ Video Abnormal Event Detection
FUND PROJECTS
1. Natural Science Foundation of Gansu Province (17JR5RA161, 21JR7RA570)
2. Gansu University of Political Science and Law Major Scientific Research and Innovation Projects
(GZF2020XZDA03)
3. Young Doctoral Fund Project of Higher Education Institutions in Gansu Province (2022QB-123)
4. Gansu Province Higher Education Innovation Fund Project (2017A-068)
5. University-level Innovative Research Team of Gansu University of Political Science and Law
6. Longyuan Youth Innovation and Entrepreneurship Talent Project (2022QB-123)

MAIN SCIENTIFIC PUBLICATIONS

1. Guangli Wu,ShengTao Wang,Shipeng Xu. “Feature fusion over hyperbolic graph convolution networks for
video summarization.” IET Computer Vision,2023.
2. Guangli Wu,Tongjie Xu. “Video Moment Localization Network Based on Text Multi-semantic Clues
Guidance.” Advances in Electrical and Computer Engineering,2023,23(3):85-92.
3. Guangli Wu,Huili Tang. “Binary Code Vulnerability Detection Based on Multi-Level Feature Fusion.” IEEE
Access,2023,11: 63904-63915.
4. Guangli Wu,Shanshan Song,Leiting Li. “Video Summarization Generation Model Based on Transformer
and Deep Reinforcement Learning.” in 2023 8th International Conference on Computer and
Communication Systems (ICCCS). IEEE, 2023: 916-921.
5. Guangli Wu,Shengtao Wang,Liping Liu. “Fast Video Summary Generation Based On Low Rank Tensor
Decomposition.” IEEE Access,2021,9:127917-127926.
6. Guangli Wu,Zhenzhou Guo,Mianzhao Wang,Leiting Li and Chengxiang Wang. “Video Abnormal Event
Detection Based on CNN and Multiple Instance Learning.” in twelfth international conference on signal
processing systems. SPIE,2021:134-139.
7. Guangli Wu,Zhenzhou Guo,Leiting Li and Chengxiang Wang. “Video Abnormal Event Detection Based on
CNN and LSTM.” in 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).
IEEE,2020: 334-338.
8. Guangli WU,Leiting LI,Zhenzhou GUO,Chengxiang WANG and Yanpeng, YAO. “Video summarization
Based on ListNet Scoring Mechanism.” in 2020 5th International Conference on Computer and
Communication Systems (ICCCS). IEEE,2020: 281-285.
9. Guangli WU,Liping LIU,Chen Zhang and Dengtai TAN. “Video Abnormal Event Detection Based on ELM.”
in 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).IEEE,2019: 367-371

 

Tumlumbe Juliana Chengula – Computer Vision -Best Researcher Award

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Tumlumbe Juliana Chengula  – Computer Vision

Tumlumbe Juliana Chengula  a distinguished academic and researcher in the field of Computer Vision. He possesses proficiency in several programming languages, with a focus on Python. His expertise extends to utilizing various tools such as Tableau, QGIS, PyTorch, and Tensorflow, showcasing a well-rounded skill set in data science and machine learning. Additionally, he has earned certifications in Data Science Tools, SQL for Data Science, and Machine Learning with Python, all from IBM. Furthermore, he has completed the “Using Python for Research” certification from Harvard University, underscoring his commitment to continuous learning and staying at the forefront of relevant technologies in the field. These skills and honors collectively highlight his comprehensive knowledge and dedication to the dynamic and evolving realm of data science.

Eduvation

His master’s studies at Amirkabir University of Technology (AUT) in Tehran, Iran, from September 2018 to October 2021, he specialized in Electrical Engineering with a focus on Control. During this period, he maintained a GPA of 3.5/4, and his final project earned a perfect score of 4/4. Prior to his master’s degree, he completed his Bachelor’s in Power Electrical Engineering at Yazd University, Iran, from September 2014 to August 2018, achieving a GPA of 3.1/4.

Professional Profiles:

Employment Experience
As a Graduate Research Assistant at South Carolina State University since August 2022, she has been actively engaged in the collection, recording, and analysis of transportation data, utilizing proficient tools such as Python, Tableau, PowerBI, and QGIS. Her research focus involves the application of cutting-edge technologies, including Machine Learning, Deep Learning, and Artificial Intelligence, to address challenges within the transportation industry.
Over the course of her tenure, she has showcased her contributions by delivering six impactful presentations on her research in Machine Learning and Artificial Intelligence at seven distinguished transportation conferences. Furthermore, her commitment to scholarly dissemination is evident through the submission and acceptance of two peer-reviewed articles, which are slated for presentation at the prestigious 2024 Annual Transportation Research Board conference. These accomplishments underscore her dedication to advancing knowledge and providing innovative solutions to enhance the efficiency and effectiveness of the transportation sector.
Research Project Highlights
She has made notable contributions to the field of transportation through her research endeavors, addressing critical issues with cutting-edge technologies. One of her significant projects involves enhancing road safety through Ensemble Learning, specifically in detecting driver anomalies using vehicle inbuilt cameras. In another study, she employed Topic Modeling and Categorical Correlations to unveil patterns associated with autonomous vehicle disengagements, shedding light on crucial aspects of autonomous driving systems.
Furthermore, she delved into the realm of quantum computing to improve classification performance in traffic sign recognition, utilizing an optimized hybrid classical-quantum approach. Additionally, her research extends to the realm of sustainable urban mobility, where she has applied Explainable Artificial Intelligence to predict bike-sharing station capacity. These diverse projects showcase her proficiency in utilizing advanced technologies and methodologies to address multifaceted challenges within the transportation sector.
Publication

Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras

Machine Learning with Applications
2023-12 | Journal article
DOI: 10.1016/j.mlwa.2023.100510
CONTRIBUTORS: Tumlumbe Juliana Chengula; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi