SASANK VVS |machine learning| Best Researcher Award

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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

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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

Dr . Isha Batra | Machine leaning| Best Researcher Award

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Dr . Isha Batra | Machine leaning| Best Researcher Award

Dr . Isha Batra ,Lovely Professional University,India

Dr. Isha Batra is a distinguished academic and researcher at Lovely Professional University, India. With extensive expertise in her field, she has made significant contributions to both teaching and research. Dr. Batra holds advanced degrees in her area of specialization and has been involved in numerous research projects, publications, and conferences. Her dedication to education and innovation is evident through her active participation in various academic and professional activities. At Lovely Professional University, Dr. Batra is committed to fostering a dynamic learning environment and advancing knowledge in her discipline

 

Professional Profiles:

Scopus

Orcid 

Profile:

A thermo-fluid research engineer specializing in single-phase/two-phase heat transfer design, refrigeration/air conditioning research with low GWP refrigerants, heat sink/cold plate design, product development for electronics cooling, and optimization of energy systems. Proven track record in delivering industry-university cooperation projects on time. Expertise in experimental works and designing solutions to sustainable energy problems in alignment with industry needs.

Education :

  • Ph.D. in Computer Science and Engineering
    Lovely Professional University, 2019
  • M.E. in Computer Science and Engineering
    PEC University of Technology, Chandigarh, 2010
  • B.Tech in Computer Science and Engineering
    JMIT Radaur, Kurukshetra University, 2008

Experience:

Lovely Professional University, Jalandhar, Punjab,Assistant Professor: 21/07/2010 – 03/12/2010,Associate Professor: 02/01/2013 – Till date,NIT Kurukshetra,Assistant Professor: 30/12/2010 – 18/12/2012

Research, Teaching, and Other Professional Interests:

  • Network and Security
  • Internet of Things (IoT)
  • Wireless Sensor Networks

Professional Honors and Awards:

  • Best Paper Award for “Performance Analysis of Data Mining Techniques in IoT” at the 4th International Conference on Computing Sciences, Feynman 100, Lovely Professional University, 2018
  • Teacher Appreciation Award from Lovely Professional University on Teacher’s Day, 2019

Publications :

  • Isha, Arun Malik, and Gaurav Raj. “Dos attacks on tcp/ip layers in wsn.” International Journal of Computer Networks and Communications Security 1, no. 2 (2013): 40-45.

 

  • Isha, Arun Malik, and Aditya Bakshi. “Spectrum Sensing Techniques in Cognitive Radio Based Sensor Networks: A Survey.” International Journal of Applied Engineering Research 10, no. 8 (2015): 19063-19076.

 

  • Neha, and Isha. “Analysis of Hybrid GPSR and Location Based Routing Protocol in VANET.” International Journal of Computer Science and Information Technologies 6, no. 1 (2015): 674-677.

 

  • Deepali, and Isha. “Analysis of Enhanced Request Response Detection Algorithm for Denial of Service Attack in VANET: A Review.” International Journal of Computer Science and Information Technologies 6, no. 1 (2015): 678-681.

 

  • Isha Batra, and Ashish Kr. Luhach. “Analysis of lightweight cryptographic solutions for Internet of Things.” Indian Journal of Science and Technology 9, no. 28 (2016).

 

  • Isha Batra, Ashish Kr Luhach, and Nisrag Pathak. “Research and analysis of lightweight cryptographic solutions for internet of things.” In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, p. 23. ACM, 2016.

 

  • Rohini Lohia, and Isha Batra. “Reputation based Proposed Scheme to Ensure Reliable Decision by Fusion Centre.” Indian Journal of Science and Technology 9, no. 44 (2016).

 

  • Isha, Ashish Kr. Luhach, and Rajeev Sobti. “Smart Inventory System Scenario Based on Internet of Things.” Far East Journal of Electronics and Communications (2016).

 

  • Isha Batra, Ashish Kr. Luhach, and Sumit Kumar. “Layer Based Security in Internet of Things: Current Mechanisms, Prospective Attacks, and Future Orientation.” International Conference on Smart Trends for Information Technology and Computer Communications, pp. 896-903. Springer, Singapore, 2016.

 

  • Rohini Lohia, Isha, and Arun Malik. “Comparative study of security threats in cognitive radio networks.” International Journal of Control Theory and Applications 9, no. 41 (2016): 443-453. …

 

  • Tanima Thakur, Isha Batra, Arun Malik, Deepak Ghimire, Seong-Heum Kim, ASM Sanwar Hosen. “RNN-CNN Based Cancer Prediction Model for Gene Expression.” IEEE Access, 2023.

 

  • Ved Prakash Chaubey, Shamneesh Sharma, Aman Kumar, Arun Malik, Praveen Chaudhary, and Isha Batra. “Role of IoT in Revolutionizing Smart Agriculture Systems: A Comprehensive Review.” Future Generation Computer Systems, 2023.