Sajad Rezvani | Computer vision | Excellence in Research

Posted on by 21b4bddf87157652317827146367558f

 

Mr Sajad Rezvani | Computer vision | Excellence in Research

Shahrood University of Technology , Iran

Sadjad Rezvani is a highly qualified candidate for the Research for Excellence in Research award. His impressive academic achievements, impactful research contributions, technical expertise, and leadership in mentoring make him a strong contender. His work in masked face recognition, medical image analysis, and image segmentation reflects both the depth and relevance of his research in today’s rapidly evolving tech landscape.

Publication Profile
scopus

Education :

Sadjad Rezvani holds a Master of Science in Computer Engineering with a specialization in Artificial Intelligence from Shahrood University of Technology, Iran. He completed his master’s degree between September 2020 and September 2022, graduating with a GPA of 4/4 (18.59/20). His thesis was titled “Masked Face Recognition Using Deep Learning,” under the guidance of Professor Mansoor Fateh. Prior to this, Sadjad earned his Bachelor of Science in Computer Engineering, specializing in Software Engineering, from Shahrood University of Technology, completing his degree between September 2015 and September 2019 with a GPA of 3.53/4 (16.92/20). His undergraduate thesis was titled “Profiling Web Applications to Improve Intrusion Detection,” supervised by Professor Mohsen Rezvani.

Professional Experience:

Sadjad has practical experience as a Computer Vision Software Engineer in several industries. He worked at Hookan Salt Factory in Shiraz, Iran, from November 2020 to September 2021, where he contributed to the development of a Salt Crack Sorting Machine. In this role, he employed advanced image processing techniques to detect salt impurities in real-time, utilizing tools such as OpenCV, Python, C#, and C++. Additionally, he worked at Shahaab, CO from June 2019 to December 2023 on a Plate Recognition Software project, where he contributed to a system that recognized license plates using CCTV camera data. His work involved maintaining and improving the software using C#, SQL, and other related technologies.

Research Skills:

Sadjad is highly skilled in programming languages such as Python, C++, and C#, and has a strong background in Machine Learning frameworks including PyTorch, TensorFlow, and Scikit-Learn. He is proficient in Computer Vision tools like OpenCV and has experience with databases such as Microsoft SQL Server and MySQL. His technical expertise also extends to advanced image processing, AI for medical diagnosis, and deep learning-based solutions for real-world applications.

Research Focus :

Sadjad’s research interests include Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Medical Image Analysis, Limited Data Solutions, and Domain Adaptation. He has contributed to several journal publications, such as the development of ABANet: Attention Boundary-Aware Network for Image Segmentation (2024) and a paper on Single Image Denoising via a New Lightweight Learning-Based Model (2024), among others. His academic research also includes the application of deep learning models for lung CT image segmentation and innovations in masked face recognition using deep learning.

 

Awards :

Sadjad has received recognition for his achievements, including being a member of Iran’s National Elites Foundation in 2023 and being the third-ranked student in his Master of Science program. His certifications include AI for Medical Diagnosis from DeepLearning.AI (Coursera, 2023), Python Project for Data Science from IBM (Coursera, 2022), and specialization courses in Generative Adversarial Networks (GANs) and Machine Learning from Stanford University.

Honours and Awards

  • Member of Iran’s National Elites Foundation, 2023

  • Third-ranked student in the Master of Science in Computer Science program, 2022

 

Publication : 

 

    • Rezvani, S., Fateh, M., & Khosravi, H. (2024). ABANet: Attention Boundary-Aware Network for Image Segmentation. Expert Systems, e13625. [Published May 2024]

    • Rezvani, S., Soleymani Siahkar, F., Rezvani, Y., Alavi Gharahbagh, A., & Abolghasemi, V. (2024). Single Image Denoising via a New Lightweight Learning-Based Model. IEEE Access, August 2024.

    • Rezvani, S., Fateh, M., Fateh, A., & Jalali, Y. (2024). FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation. Biomedical Signal Processing and Control, Revised Sep 2024.

conclusion:

  • Sadjad’s overall profile is well-rounded with strengths across research, academia, technical skills, and professional experience.

  • Continued focus on expanding publication reach, collaboration, and public speaking could further elevate his visibility and impact in the research community.

  • With his dedication and achievements, Sadjad is well-positioned for recognition in research excellence.

In conclusion, Sadjad is a strong candidate for the award, and with a few adjustments in outreach and collaboration, he could continue to make significant strides in the research world.

 

Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Researcher in training , University of Malaga , Spain

Francisco Javier Lima Florido is an accomplished researcher whose work in Machine Learning, Deep Learning, and Natural Language Processing has significant practical and academic merit. His focus on multilingual dialogue systems, health applications, and automatic interpretation solutions speaks to his expertise and potential to impact society through technology. As a PhD student, he is still developing his academic career but has already made noteworthy contributions to the field through participation in significant projects.

Publication Profile
scopus

Education :

Francisco Javier Lima Florido holds a Bachelor’s degree in Software Engineering from the University of Málaga (2016). He also earned a Master’s degree in Software Engineering and Artificial Intelligence from the same institution in 2019. Currently, Francisco is pursuing a PhD in the Translation and Interpreting Department at the University of Málaga, where his research is primarily focused on the intersection of technology and language.

Experience:

Francisco has actively participated in various research projects throughout his academic career. Notably, he was involved in the VIP: Integrated Voice-Text System for Interpreters project. This project explored the integration of voice and text systems for interpreters. Presently, he is contributing to cutting-edge projects like the Neural-based multilingual dialogue systems for the development of health apps (focusing on triage in Spanish, English, and Arabic) and the MI4ALL – Automatic Interpretation for All Using a Deep Learning-based API transfer project. These initiatives demonstrate his extensive experience in developing machine learning models for natural language processing (NLP).

Research Focus:

His primary research interests lie in the application of Machine Learning and Deep Learning techniques to Natural Language Processing (NLP). He is particularly focused on the development of multilingual dialogue systems and automatic interpretation technologies. His work aims to enhance the functionality and accessibility of tools for interpreters and healthcare applications, with a special interest in bridging communication gaps in multilingual settings.

Skills:

Francisco is highly skilled in several areas within Software Engineering and Artificial Intelligence, with a strong emphasis on Machine Learning and Deep Learning. His technical expertise spans:

    • Natural Language Processing (NLP)
    • Multilingual Dialogue Systems
    • Deep Learning Algorithms
    • Machine Learning Model Development
    • Speech-to-Text Technologies
    • Python Programming and related frameworks (e.g., TensorFlow, PyTorch)

 

Publication :

Francisco Javier Lima Florido has contributed to several research projects and publications in the fields of Machine Learning, Deep Learning, and Natural Language Processing. Notably:​

  1. “Mapping tillage direction and contour farming by object-based analysis of UAV images” (2021): This study, co-authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, José Dorado, and José M. Peña, was published in Computers and Electronics in Agriculture. ​

  2. “Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain” (2019): Authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, and Federico B. Galacho-Jiménez, this paper appeared in Remote Sensing. ​

Additionally, Francisco Javier Lima Florido has been involved in research projects such as “VIP: Integrated Voice-Text System for Interpreters” and is currently participating in “Neural-based multilingual dialogue systems for the development of health apps: triage (Spanish – English/Arabic)” and the transfer project “MI4ALL – Automatic Interpretation For All Using a Deep Learning-based API”.

conclusion:

Francisco is highly deserving of consideration for the “Best Researcher Award.” His expertise in cutting-edge AI technologies, especially in the context of language translation and interpretation, holds immense potential for positive social impact. While there are areas for improvement, such as enhancing his publication record and broadening his collaborative network, his current research trajectory shows great promise. His ongoing contributions to AI research and application indicate that he is on a path to becoming a leading figure in the field.

Jun Li| AI-powered biomaterials | Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Prof Jun Li | AI-powered biomaterials | Best Researcher Award

COA Outstanding Young Orthopedic Physician award, West China Hospital, Sichuan University, China

Jun Li’s work stands out in the field of Orthopedics and biomedical research due to his innovative contributions to bone tissue regeneration, orthopedic oncology, and regenerative medicine. His extensive academic qualifications, publication record, patent contributions, and clinical trials demonstrate his ability to bridge the gap between theoretical research and clinical applications. Furthermore, his leadership roles and active involvement in professional organizations reflect his commitment to advancing the field and mentoring the next generation of researchers.

Publication Profile
scopus

Education :

  • Postdoctoral Fellow
    2019/07 – 2022/12
    West China Hospital of Stomatology, Sichuan University, China

  • Joint Ph.D. Program
    2017/08 – 2019/08
    Harvard Medical School, USA

  • Ph.D. in Clinical Medicine
    2016/09 – 2019/06
    West China College of Clinical Medicine, Sichuan University, China

  • Master’s Degree in Clinical Medicine
    2013/09 – 2016/06
    Wuhan University School of Clinical Medicine, China

EXPERIENCE:

  • Associate Professor and Associate Researcher
    Department of Orthopedics, West China Hospital, Sichuan University, China
    Current Position

  • Principal Investigator
    Chengdu Advanced Medical Center, China
    Current Position

  • Postdoctoral Fellow
    Harvard Medical School, USA
    2017-2019

Skills:

  • Orthopedic Surgery & Oncology
    Expertise in clinical and experimental orthopedic surgery, specifically in bone and joint diseases, bone cancer, and trauma recovery.

  • 3D Bioprinting & Biomaterials
    Focus on developing hybrid scaffolds for bone tissue regeneration and bioprinted tumor models.

  • Stem Cell Therapy
    Expertise in utilizing bone marrow mesenchymal stem cells for promoting bone repair and spinal cord injury recovery.

  • Clinical Trials Management
    Experience as a principal investigator in Phase II and III clinical trials, particularly focusing on bone regeneration and orthopedic oncology.

Awards:

  • COA Outstanding Young Orthopedic Physician Paper Award
  • Second Huaxi Orthopedic Young Development Fund ESI High Citation Paper Award
  • Tomorrow Star Award
  • Selected as Young Talent in the Tianfu Emei Plan
  • High-level Overseas Talent in Sichuan Province

Research Focus:

Jun Li’s research lies at the intersection of orthopedics, biomaterials, and regenerative medicine. His work primarily focuses on the development and application of advanced biomaterials, including 3D bioprinting, for bone tissue regeneration, orthopedic oncology, and spinal injuries. His studies explore the role of stem cells in tissue repair and regeneration, particularly in bone defects, spinal cord injuries, and cancer-related orthopedic conditions. Jun Li has made significant contributions to developing innovative scaffolds and treatment modalities that combine stem cell therapy and advanced biomaterials.

 

Publication :

      • Li J, Parra-Cantu C, Wang Z, Zhang YS. Improving Bioprinted Volumetric Tumor Microenvironments In Vitro. Trends Cancer, 2020, 6(9): 745-756. (IF=19.161, B)

      • Li J, Lai Y, Li M, Chen X, Zhou M, Wang W, et al. Repair of infected bone defect with Clindamycin-Tetrahedral DNA nanostructure Complex-loaded 3D bioprinted hybrid scaffold. Chem Eng J, 2022, 435: 134855. (IF=16.744, B)

      • Wu D, Wang Z, Li J, Song Y, Perez MEM, Wang Z, et al. A 3D‐Bioprinted Multiple Myeloma Model. Adv Healthc Mater, 2021. (IF=11.092, B)

      • Zhou M, Zhang T, Zhang X, Li J, et al. The Effect of Tetrahedral Framework Nucleic Acids on Neurological Recovery via Ameliorating Apoptosis, Regulating the Activation and Polarization of Astrocytes in Ischemic Stroke. ACS Appl Mater Inter., 2022. (IF=10.383)

      • Li J, Wang W, Li M, Song P, Lei H, Gui X, et al. Biomimetic Methacrylated Gelatin Hydrogel Loaded With Bone Marrow Mesenchymal Stem Cells for Bone Tissue Regeneration. Front Bioeng Biotech, 2021, 9: 770049. (IF=6.064, D)

      • Li J, Huang Z, Chen L, Tang X, Fang Y, Liu L. Restoration of bone defects using modified heterogeneous deproteinized bone seeded with bone marrow mesenchymal stem cells. Am J Transl Res, 2017, 9(7): 3200-3211. (IF=3.940, D)

      • Wang W, Li J, Zhang Z, Ma H, Li Q, Yang H, et al. Genome-wide analysis of acute traumatic spinal cord injury-related RNA expression profiles and uncovering of a regulatory axis in spinal fibrotic scars. Cell Prolif, 2021, 54(1): e12951. (IF=8.755, C)Wang W-Z, Li J, Liu L, Zhang Z-D, Li M-X, Li Q, et al. Role of circular RNA expression in the pathological progression after spinal cord injury. Neural Regen Res, 2021, 16(10): 2048-2055. (IF=6.058, D)

      • Wang W, Ma L, Li J, Yang SY, Yi Z, Sun M, et al. Identification and coregulation pattern analysis of long noncoding RNAs following subacute spinal cord injury. J Orthop Res, 2022, 40(3): 661-673. (IF=3.102, D)

      • Li J, Wang W, Li M, Liu L. Repair of segmental bone defect using tissue engineered heterogeneous deproteinized bone doped with lithium. Sci Rep, 2021, 11(1): 4819. (IF=4.996, D)

      • Li B, Li J, Wang S, Liu L. Clinical analysis of peri-operative hidden blood loss of elderly patients with intertrochanteric fractures treated by unreamed proximal femoral nail anti-rotation. Sci Rep, 2018, 8(1): 3225. (IF=4.996, D)

      • Li J, Li B, Zhang Z, Wang S, Liu L. Ilizarov external fixation versus plate internal fixation in the treatment of end-stage ankle arthritis: decision analysis of clinical parameters. Sci Rep, 2017, 7(1): 16155. (IF=4.996, D)

      • Li J, Guo W, Xiong M, Han H, Chen J, Mao D, et al. Effect of SDF-1/CXCR4 axis on the migration of transplanted bone mesenchymal stem cells mobilized by erythropoietin toward lesion sites following spinal cord injury. Int J Mol Med, 2015, 36(5): 1205-1214. (IF=5.314, D)

      • Li J, Guo W, Xiong M, Zhang S, Han H, Chen J, et al. Erythropoietin facilitates the recruitment of bone marrow mesenchymal stem cells to sites of spinal cord injury. Exp Ther Med, 2017, 13(5): 1806-1812. (IF=2.751, E)

      • Li J, Liu L. Comparison of short-segment versus long-segment fixation for the treatment of thoracolumbar burst fracture: A meta-analysis. Int J Cli Expl Med, 2017, 10: 1750-1762.

      • Li J, Wang W, Li M, Li B, Liu L. Evolution and Development of Ilizarov Technique in the Treatment of Infected Long Bone Nonunion with or without Bone Defects. Orthop Surg, 2022. (IF=2.279, C)

      • Li J, Wang W, Yang H, Li B, Liu L. Management of elderly traumatic ankle arthritis with Ilizarov External Fixation. Orthop Surg, 2022. (IF=2.279, C)

CONCLUSION:

Jun Li is highly deserving of the Best Researcher Award due to his outstanding contributions to orthopedic and biomedical research. His leadership in various research projects, published work in high-impact journals, successful clinical trial involvement, and significant patents highlight his status as an influential researcher in his field. Expanding his collaborative networks, public outreach, and mentorship efforts will only further enhance his contributions and ensure his continued success as a leader in medical science.

Ali Reza Keivanimehr | AI in healthcare | Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr.Ali Reza Keivanimehr | AI in healthcare
| Best Researcher Award

Mr.  Ali RezaKeivanimehr ,  Amirkabir University of Technology (Tehran’s Polytechnic), Iran.

Ali Reza Keivanimehr is an exceptional early-career researcher with a solid academic foundation, a promising research trajectory in machine learning applications for healthcare, and strong technical expertise. His combination of research, teaching, and technical projects highlights a well-rounded profile. His contributions, especially in the use of TinyML for cardiovascular diagnosis, are commendable and align with global health priorities.

Publication Profile

Google scholar

Education :

Master of Science in Information Technology Engineering – Internet of Things (IoT) (2022 – 2025)Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranRanked 403rd in QS World University Rankings 2024GPA: 3.53/4 (17.48/20) – 3rd highest in 2022 faculty entranceThesis: Applications of TinyML in Prediction and Diagnosis of Cardiovascular DiseasesSupervisor: Dr. Mohammad Akbari | Advisor: Dr. Abbas AhmadiBachelor of Science in Computer Engineering – Software Engineering (2018 – 2021)Imam Khomeini International University of Qazvin, Qazvin, IranProject: Designing a Software Interface for Industrial Machinery Maintenance

Experience :

Research Assistant (2022 – Present)
Data Science Lab (DSLab), Amirkabir University of Technology, Tehran, IranConducting research on TinyML and edge intelligence applications in cardiovascular disease prediction.Teaching Assistant — Machine Learning and Pattern Recognition (2024 – 2025)Amirkabir University of Technology, Tehran, IranAssisted in course instruction, project supervision, and student evaluations under Dr. Alireza Rezvanian.Teaching Assistant — Data Structure and Algorithms (2019 – 2020)
Imam Khomeini International University of Qazvin, Qazvin, IranSupported coursework delivery, assignments, and exam preparations under Morteza Mohammadi Zanjireh.

Research Focus :

Natural Language Processing (NLP)Graph Neural NetworksEdge IntelligenceExplainable Artificial Intelligence (XAI)Generative Adversarial Networks (GANs)Dr. Keivanimehr’s research centers on Tiny Machine Learning (TinyML) and edge intelligence, with a specific emphasis on their applications in cardiovascular disease monitoring. He explores the deployment of machine learning models on low-power, resource-limited devices to facilitate real-time analytics and pervasive monitoring for patients with cardiac anomalies.

Skills and Expertise:

As a research assistant, Dr. Keivanimehr has developed expertise in machine learning, classification, and supervised learning. His technical proficiency includes a focus on computational health and biomedical applications, particularly in the context of resource-constrained devices.Programming: PythonMachine Learning Frameworks: PyTorch, TensorFlowBig Data Tools: Apache SparkLanguages: TOEFL iBT (Score: 109 | Reading: 28 | Listening: 30 | Speaking: 26 | Writing: 25)

Awards:

 

48th Rank among 5000+ participants, National Entrance Exam for Master Studies in IT Engineering (2022)3rd Rank in IT Engineering Master’s cohort based on GPA (2022 – Present)Full Master’s Scholarship: Awarded for excellence in national entrance exams; covers tuition, dormitory, and partial food expenses (2022 – Present)Full Bachelor’s Scholarship: Granted for top performance in national entrance exams; included tuition, accommodation, and meal support (2018 – 2021)

 

Publication 

 

  • Keivanimehr, A., & Akbari, M. (2024). TinyML and Edge Intelligence Applications in Cardiovascular Disease: A Survey. Computers in Biology and Medicine. DOI: 10.1016/j.compbiomed.2025.109653

 

Conclusion

Ali Reza Keivanimehr is a suitable candidate for the Best Researcher Award. His strong academic record, impactful research, and consistent growth in machine learning and edge intelligence demonstrate his potential as a leading researcher in his field. With further international exposure and expanded publication efforts, he is poised to make significant contributions to both academia and industry.

 

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

Posted on by 21b4bddf87157652317827146367558f

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

 

Dr . Isha Batra | Machine leaning| Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

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.