Fan Yang | Machine learning | Best Researcher Award

Published on 09/12/202509/12/2025 by CAD Awards

Dr. Fan Yang | Machine learning | Best Researcher Award

Dr. Fan Yang | Qinghai Normal University | China

Dr. Fan Yang, Ph.D., is an Associate Professor in the School of Computer Science at Qinghai Normal University, recognized for his expanding contributions to human–machine systems and artificial intelligence. He has developed a strong academic profile with multiple peer-reviewed publications in high-impact journals and internationally respected conferences, reflecting his growing influence in intelligent interaction and adaptive computational technologies. His background includes advanced training in computer science with a research emphasis on intelligent human–machine collaboration and adaptive AI modeling. In his current role, he teaches core subjects in artificial intelligence and interactive systems while supervising graduate research and contributing to national and provincial research initiatives. His research interests span intelligent interaction, AI-driven decision technologies, adaptive computational models, and integrated human–machine environments, with a focus on connecting machine intelligence to real-world human behavior. His early achievements, impactful research output, and contributions to cutting-edge AI technologies have earned him recognition within the research community and position him as a competitive candidate for prestigious research awards.

Profile: ORCID

Featured Publications

Yang, F. “Adaptive human–machine interaction using deep attention models.” IEEE Transactions on Human–Machine Systems. — Cited by 12.

Yang, F. “Multi-agent reinforcement learning for human-centered AI.” ACM CHI Conference. — Cited by 8.

Yang, F. “Cognitive-driven robot collaboration under dynamic environments.” Robotics and Autonomous Systems. — Cited by 15.

Yang, F. “Real-time interaction modeling using hybrid deep networks.” Neurocomputing. — Cited by 20.

Yang, F. “Intelligent behavior prediction in human–machine teams.” IEEE ICMLA Conference. — Cited by 5.

SASANK VVS |machine learning| Best Researcher Award

Published on 27/11/2024 by CAD Awards

Dr. SASANK VVS |machine learning| Best Researcher Award

ASSISTANT PROFESSOR,K L UNIVERSITY,India

Dr. VVS Sasank is an Assistant Professor at K L University, India. With a strong background in his field of expertise, Dr. Sasank is dedicated to advancing research and education. He has made significant contributions to academic literature and is recognized for his commitment to fostering innovative learning methodologies. At K L University, he focuses on mentoring students, conducting impactful research, and contributing to the institution’s mission of excellence in higher education. His areas of interest include [add specific areas of research or specialization if known].

Summary:

Dr. Sasank VVS has exhibited a robust academic and research profile, combining strong academic qualifications, a distinguished teaching career, and significant contributions to research. His efforts in publishing SCI-indexed papers, receiving patents, and securing prestigious certifications reflect his dedication to advancing knowledge in his field. His work is not only academic but also highly relevant in the practical application of IoT and machine learning technologies.

Professional Profiles:

Scopus

🎓 Education :

Dr. Sasank has consistently demonstrated academic brilliance, earning a Ph.D. in Computer Science from K.L. University (2019–2023), focusing on cutting-edge research. He completed his M.Tech in Computer Science and Technology at GITAM University (2016), securing a CGPA of 9.11 and achieving the top rank in his department. His B.Tech in Information Technology at GITAM University (2013) was marked by distinction with a CGPA of 8.15. Earlier, he excelled in his intermediate education at Mega Junior College (2009) and 10th-grade studies at Jassver English Medium School (2007), graduating with first-class distinctions.

🏢 Experience:

With extensive teaching and administrative experience, Dr. Sasank currently serves as an Assistant Professor and ERP Registration In-charge at K.L. University (December 2021–Present), where he manages course registrations and teaches advanced computer science topics. Previously, he held roles as an Assistant Professor and Placement Officer at Anil Neerukonda Institute of Technology & Sciences (2017–2019) and as an Assistant Professor at Lendi Institute of Engineering & Technology (2016–2017). His teaching journey began as a Teaching Assistant at GITAM University (2015–2016).

🛠️Skills:

Dr. Sasank is proficient in programming languages such as C, C++, Java, and DevOps, and database systems like Oracle-10G, MySQL, and PostgreSQL. His teaching repertoire includes specialized subjects like DBMS, Software Engineering, Computer Architecture, UI/UX Design, and DevOps. Certified as a Google Associate Cloud Engineer (2023) and AWS Cloud Practitioner, he combines technical and academic expertise to advance his professional goals

Research Focus :

A committed researcher, Dr. Sasank has published 5 SCI-indexed papers, with 1 under review, alongside 3 Scopus-indexed papers, 1 book chapter, and 3 IEEE conference papers. His research interests span IoT, machine learning, software modeling, and data management systems. Additionally, he has guided 12 B.Tech batches, 2 M.Tech project batches, and 1 ongoing Ph.D. scholar, showcasing his mentorship abilities.

🔬Awards:

He was recognized for his academic excellence by securing 1st rank in M.Tech (CSE) at GITAM University (2016) and is celebrated for his innovative project guidance and research accomplishments.

Conclusion:

Dr. Sasank VVS is an excellent candidate for the Best Researcher Award due to his substantial contributions to both the academic and research domains. His accomplishments in research, teaching, and innovation underscore his potential for long-term impact in the field of computer science. With a few strategic improvements, such as broadening his research areas and fostering more international collaborations, Dr. Sasank can continue to make significant contributions to the global scientific community.

Publications:

Prostate cancer classification using adaptive swarm intelligence-based deep attention neural network
- Authors: Sowmya, D., Bhavani, S.A., Sasank, V.V.S., Rao, T.S.
- Year: 2024
- Citations: 0

Real-time face detection and recognition
- Authors: Lekhaz, A., Sasank, V.V.S., Rao, Y.K.
- Year: 2024
- Citations: 0

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images
- Authors: Sasank, V.V.S., Venkateswarlu, S.
- Year: 2023
- Citations: 1

Monitor and Control Electricity for Home Appliance
- Authors: Sharma, P.K., Lakshmi, B., Prakash, A., Sasank, V.V.S., Ashokkumar, N.
- Year: 2023
- Citations: 0

An Analysis and Study of Brain Cancer with RNN Algorithm based AI Technique
- Authors: Vallathan, G., Rao Yanamadni, V., Vidhya, R.G., Ambhika, C., Sasank, V.V.S.
- Year: 2023
- Citations: 7

Machine Learning Model to Reduce the Various Defects on Die Casting Process
- Authors: Jagadeesan, S., Janardhan, M., Singh, B., Sasank, V.V.S., Kapila, D.
- Year: 2023
- Citations: 0

Smart Home Messenger Notifications System using IoT
- Authors: Sai, M.R., Teja, K.K., Sasank, V.P., Kavitha, M., Aravinth, S.S.
- Year: 2023
- Citations: 10

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images
- Authors: Sasank, V.V.S., Venkateswarlu, S.
- Year: 2022
- Citations: 15

HATE SPEECH & OFFENSIVE LANGUAGE DETECTION USING ML & NLP
- Authors: Panchala, G.H., Sasank, V.V.S., Adidela, D.R.H., Ashesh, K., Prasad, C.
- Year: 2022
- Citations: 6

Security and Privacy in Associated Self-Controlled Cars
- Authors: Sasank, V.V.S., Lokesh, B., Mahesh, J., Kumar, T.S., Prasad, C.
- Year: 2022
- Citations: 0

Adil Hussain |Machine | Best Researcher Award

Published on 23/11/2024 by CAD Awards

Mr. Adil Hussain |Machine | Best Researcher Award

Chang’an University,Pakistan

Adil Hussain is a PhD scholar at Chang’an University, China, specializing in advanced research within his field. Originally from Pakistan, Mr. Hussain is dedicated to contributing to academic excellence and innovation.

Summary:

Adil Hussain, a motivated researcher and Android developer, excels in blending technical expertise with innovative problem-solving. His dedication to academic excellence and hands-on development experience positions him as a strong asset in the technology and research sectors. With ongoing doctoral studies, his career trajectory is aligned with advancing technological solutions and contributing to cutting-edge developments in his field.

Professional Profiles:

Scopus

Google Scholar

🎓 Education :

Adil Hussain has a solid academic background with ongoing doctoral studies in Traffic Information Engineering and Control at Chang’an University, Xi’an, China (2022–2026). He holds a Master of Science in Computer Science from Bahria University, Islamabad, Pakistan (2019–2022). His foundational knowledge in technology stems from a Bachelor of Science in Information Technology earned at Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2014–2018). Prior to his higher education, he pursued FSc. Pre-Engineering from Islamabad Model Postgraduate College for Boys H-8/2, Islamabad (2012–2014), and completed Matriculation in Science at Islamabad Model School for Boys No.2, I-9/4, Islamabad (2008–2011).

🏢 Experience:

Adil’s professional journey showcases a blend of technical expertise and research.,Speckpro Digital (Nov 2021 – Dec 2022),He contributed to the organization with his advanced skills in Android development and project implementation.,Cyber Reconnaissance andCombat Lab (CRC) (Oct 2019 – Sep 2021),As a Research Fellow, he conducted research tasks, authored papers in Computer Science, and assisted professors in submission and revision processes. He also prepared documents for publication, ensuring quality and accuracy.O3 Interfaces (Pvt.) Ltd. (Feb 2019 – Sep 2019),During his tenure as an Android Developer, Adil worked on product-based and project-based applications. Notable projects include the Salon Wizz app, Kasa Beeston E-Commerce application, and the CASA Tenant Management System, where he handled frontend and API integration.,Internship to Junior Android Developer (Feb 2019 – Sep 2019),Adil began as an intern, advancing to Junior Android Developer. He played a key role in developing the UBL Digital banking application, enhancing features like Franchise Payment, Payee Management, and Digital Onboarding. His responsibilities also included API testing, debugging, and troubleshooting.

🛠️Skills:

Adil possesses a diverse skill set that reflects his technological proficiency:Operating Systems: Windows, macOS,Programming Languages: Python, Java, C#, C++,Development Tools: Android Studio, Visual Studio, Eclipse,Databases: MS SQL, MySQL, MS Access,Web Development: PHP, ASP.NET, HTML, CSS,Version Control: Git, GitHub, Bitbucket,Project Management: JIRA, ASANA,UI Design: Adobe XD, Canva, Zeplin, Figma,API Testing: Postman, Advanced Rest,Research Tools: Google Colab, Notebook, EndNote, Mendeley, Zotero, Latex

Research Focus :

Adil’s doctoral research revolves around Traffic Information Engineering and Control, emphasizing intelligent solutions for transportation systems. His previous research interests include mobile app development, database management, and software architecture, with publications focused on innovative technological applications.

🔬Awards:

Adil has consistently delivered high-quality work in his academic and professional career, earning accolades for his commitment and innovation in Android application development and research contributions. His ability to combine research with practical applications has been widely recognized.

Conclusion:

Dr. Moshe Brand demonstrates exceptional research capability, leadership, and societal contribution. His well-rounded career in academia, combined with his focus on impactful, real-world applications, solidly positions him as a leading candidate for the Best Researcher Award. With slight improvements in broadening his collaborations and increasing research visibility, he would further cement his role as a leader in his field.

Publications:

Article:
Title: Location Optimization of EV Charging Stations: A Custom K-Means Cluster Algorithm Approach
Authors: Abdullahi, M.R., Lu, Q.-C., Hussain, A., Xu, P.-C., Wang, S.
Year: 2024
Citations: 0

Article:
Title: Ensemble-Based Approach Using Inception V2, VGG-16, and Xception Convolutional Neural Networks for Surface Cracks Detection
Authors: Hussain, A., Aslam, A.
Year: 2024
Citations: 0

Article:
Title: Hate Speech Against Women and Immigrants: A Comparative Analysis of Machine Learning and Text Embedding Techniques
Authors: Hussain, A., Aslam, A.
Year: 2024
Citations: 0

Conference Paper:
Title: Minor Surface Cracks Detection Using SCD11 Convolutional Neural Network
Authors: Hussain, A., Qureshi, K.N., Zaman, F., Aslam, A., Tariq
Year: 2024
Citations: 0

Conference Paper:
Title: TSC18 Convolutional Neural Network for Traffic Sign Classification
Authors: Hussain, A., Qureshi, K.N., Aslam, A., Tariq, T., Abdullahi, M.R.
Year: 2024
Citations: 0

Conference Paper:
Title: A Novel SCD11 CNN Model Performance Evaluation with Inception V3, VGG16, and ResNet50 Using Surface Crack Dataset
Authors: Hussain, A., Qureshi, K.N., Anwar, R.W., Aslam, A.
Year: 2024
Citations: 2

Article:
Title: An Enhanced Intelligent Intrusion Detection System to Secure E-Commerce Communication Systems
Authors: Hussain, A., Qureshi, K.N., Javeed, K., Alhussein, M.
Year: 2023
Citations: 1

Article:
Title: Trust Aware Energy Management System for Smart Homes Appliances
Authors: Qureshi, K.N., Alhudhaif, A., Hussain, A., Iqbal, S., Jeon, G.
Year: 2022
Citations: 19

Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

Published on 26/09/202426/09/2024 by CAD Awards

Ms.Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

Ms, Deepshikha Bhati；Kent State University, United States.

Deepshikha Bhati is a dedicated graduate student at Kent State University, where she is pursuing her academic interests with a focus on [specific field or research area, if known]. With a strong foundation in [relevant skills or previous education], she is passionate about advancing her knowledge and contributing to innovative solutions in her field. Deepshikha is known for her collaborative spirit and commitment to academic excellence, actively engaging in research projects and campus initiatives that promote learning and community involvement.

Summary:

The candidate’s extensive academic and teaching experience, coupled with a strong foundation in relevant research areas, positions them as a worthy contender for the Research for Best Researcher Award. Their commitment to applying advanced technologies to solve real-world problems, alongside a proactive approach to seeking collaboration and funding, underscores their potential to drive innovation in their field.

Professional Profiles:

Google Scholar

🎓 Education :

I am currently pursuing a Ph.D. in Computer Science at Kent State University, focusing on my dissertation titled “Semantic Features Based Explanation of Image Classification and Tools for Geographical Multimedia Data.” I hold a Master of Technology in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, India, which I completed in 2017. I also earned my Bachelor of Technology in Computer Science from the same university in 2014.

🏢 Experience:

Since August 2022, I have been serving as a Full-Time Non-Tenure Track Lecturer in the Department of Computer Science at Kent State University, Stark Campus. I have taught a range of courses, including CS III Programming Patterns, Intro to Database System Design, and Algorithm and Programming. My prior roles include part-time instructor and graduate assistantship positions within the same department, where I contributed to courses on Computer Science Principles and various advanced topics. Additionally, I gained practical experience as a Summer Software Developer, working on the “Geo Visuals Mobile Application (GVM app).”

🛠️Skills:

I possess strong programming skills in languages such as C, C++, Python, Java, Embedded C, PHP, Swift, and Kotlin. My web design skills include HTML, CSS, and JavaScript, while I am proficient in tools like MATLAB, SciLab, Visual Studio, and Android Studio. My expertise extends to database management systems such as SQLite, Realm, and MongoDB, along with data analysis and visualization tools including Pandas, NumPy, and Matplotlib. Additionally, I am well-versed in machine learning frameworks such as OpenCV, Scikit-learn, and TensorFlow, and have experience with deep learning architectures including CNNs, RNNs, and Transformers.

Research Focus :

My research interests encompass Information Visualization, Image Processing, Deep Learning, Machine Learning, and Mobile Computing. I actively participate in the Graphics and Visualization Research Group at Kent State University under the guidance of Prof. Ye Zhao.

🔬Awards:

Throughout my academic career, I have received numerous accolades, including the Fall 2024 PAAC Travel Award for participation in the IEEE 7th International Conference on Knowledge Innovation and Invention in Japan, and the Best Conference Paper Awards for two separate papers presented at the IEEE International Conference on Knowledge Innovation and Invention in 2024. I have also been nominated for the Distinguished Teaching Award at Kent State University and have received several travel awards for participation in international conferences.

Conclusion:

Overall, this profile indicates a dedicated and capable researcher whose work aligns well with the goals of the Research for Best Researcher Award. Addressing the highlighted areas for improvement, particularly in research publication and collaboration, would further bolster their candidacy. With continued effort in these domains, the candidate has the potential to make significant contributions to both academic research and practical applications in computer science.

Publications :

Title: Survey—A comparative analysis of face recognition technique
Authors: D Bhati, V Gupta
Year: 2015
Cited by: 16

Title: A Multimodal Conversational Interface to Support the creation of customized Social Stories for People with ASD
Authors: DB Rita Francese, Angela Guercio, Veronica Rossano
Year: 2022
Cited by: 7*

Title: VisualCommunity: a platform for archiving and studying communities
Authors: S Jamonnak, D Bhati, M Amiruzzaman, Y Zhao, X Ye, A Curtis
Year: 2022
Cited by: 5

Title: Current Advances in Locality-Based and Feature-Based Transformers: A Review
Authors: A Srivastava, M Chandra, A Saha, S Saluja, D Bhati
Year: 2024
Cited by: 3

Title: DNA Sequence in Cryptography: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 3

Title: Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices
Authors: D Bhati, M Amiruzzaman, S Jamonnak, Y Zhao
Year: 2022
Cited by: 3

Title: Face Recognition Stationed on DT-CWT and Improved 2DPCA employing SVM Classifier
Authors: D Bhati
Year: 2017
Cited by: 3

Title: BookMate: Leveraging Deep Learning to Empower Caregivers of People with ASD in Generation of Social Stories
Authors: D Bhati, A Guercio, V Rossano, R Francese
Year: 2023
Cited by: 2

Title: Recent Trends for Practicing Steganography Using Audio as Carrier: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 2

Title: Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation
Authors: K Arquilla, ID Gajera, M Darling, D Bhati, A Singh, A Guercio
Year: 2024
Cited by: 1

Title: Visualizing Routes with AI-Discovered Street-View Patterns
Authors: TH Wu, M Amiruzzaman, Y Zhao, D Bhati, J Yang
Year: 2024
Cited by: 1

Title: A Survey on Explainable Computer Aided Design In Mechanical Engineering (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging
Authors: D Bhati, FNU Neha, M Amiruzzaman
Year: 2024
Cited by: 0

Title: Large Language Model-Driven Immersive Agent
Authors: A Singh, S Kumar, A Ehtesham, TT Khoei, D Bhati
Year: 2024
Cited by: 0

Title: Predictive Analytics in Law Enforcement: Unveiling Patterns in NYPD Crime through Machine Learning and Data Mining
Authors: JS Kumar, M Amiruzzaman, AA Bhuiyan, D Bhati
Year: 2024
Cited by: 0

Title: Solving Classification Problem using Reduced Dimension and Eigen Structure in RSVM
Authors: M Pal, D Bhati, B Kaushik, H Banka
Year: 2017
Cited by: 0