Dr. Neelapala Anil Kumar | Medical Image Processing | Excellence in Innovation Award

Dr. Neelapala Anil Kumar | Medical Image Processing | Excellence in Innovation Awardย 

Dr. Neelapala Anil Kumar, Alliance University, India

Dr. Neelapala Anil Kumar is an accomplished academic and researcher with a Ph.D. from Visvesvaraya Technological University (VTU), Belagavi, and over 18 years of teaching experience in electronics, embedded systems, and intelligent technologies. Currently serving as an Assistant Professor at Alliance University, Karnataka, he has held previous academic positions at reputed institutions such as Vignanโ€™s IIT, St. Stanley College of Engineering & Technology, and Progressive Engineering College. His expertise spans a wide range of subjects, including Artificial Intelligence and Machine Learning, Embedded Sensor Technology, Augmented Reality, and VLSI Design, both at undergraduate and postgraduate levels. With a strong foundation in electronics and computer engineering, Dr. Anil Kumar has also guided practical laboratory courses across microcontrollers, digital communication, and biomedical instrumentation. He is a member of professional bodies such as IAENG and MISTE and is known for his dedication to developing future-ready engineers through both theoretical and applied instruction.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability: Dr. Neelapala Anil Kumar โ€“ Excellence in Innovation Award

Dr. Neelapala Anil Kumar is an accomplished academic and innovator in embedded systems, intelligent technologies, and applied electronics, with nearly two decades of teaching and research experience. His work in smart healthcare systems, embedded sensor technology, AR/VR, and machine vision exemplifies a forward-looking approach to solving real-world problems through engineering innovation. His extensive multidisciplinary teaching across B.Tech, M.Tech, and Ph.D. levels supports a strong case for the Excellence in Innovation Award.

๐ŸŽ“ Educational Qualifications

  1. Ph.D. โ€“ Visvesvaraya Technological University (VTU), Belagavi
    ๐Ÿ—“๏ธ Completed: May 3, 2024

  2. M.E. in Engineering โ€“ Andhra University, Vizag
    ๐Ÿ“Š CGPA: 8.9 | ๐Ÿ… First Class | ๐Ÿ—“๏ธ 2009

  3. B.Tech โ€“ Jawaharlal Nehru Technological University, Hyderabad
    ๐Ÿ“Š 67.9% | ๐Ÿ… First Class | ๐Ÿ—“๏ธ 2005

  4. Diploma in Engineering โ€“ S.B.T.E.T (Gudlavalleru)
    ๐Ÿ“Š 73.04% | ๐Ÿ… First Class | ๐Ÿ—“๏ธ 2002

  5. S.S.C. โ€“ Secondary School Education
    ๐Ÿ“Š 74.6% | ๐Ÿ… First Class | ๐Ÿ—“๏ธ 1999

๐Ÿซ Work Experience

  1. Assistant Professor โ€“ Alliance University, Karnataka
    ๐Ÿ—“๏ธ June 2014 โ€“ Present | ๐Ÿ“ 10+ Years

  2. Assistant Professor โ€“ Vignanโ€™s IIT, Duvvada, Vizag
    ๐Ÿ—“๏ธ June 2007 โ€“ June 2014 | ๐Ÿ“ 7 Years

  3. Assistant Professor โ€“ St. Stanley College of Engineering & Technology, Hyderabad
    ๐Ÿ—“๏ธ Dec 2005 โ€“ June 2007 | ๐Ÿ“ 1.5 Years

  4. Assistant Professor โ€“ Progressive Engineering College, Nalgonda
    ๐Ÿ—“๏ธ July 2005 โ€“ Dec 2005 | ๐Ÿ“ 6 Months

๐Ÿ† Achievements & Honors

  • ๐Ÿ“œ Successfully completed Ph.D. in 2024 with specialization in Intelligent Systems.

  • ๐Ÿ‘จโ€๐Ÿซ Over 18 years of teaching experience across premier engineering institutions.

  • ๐ŸŽ“ Handled a diverse range of subjects including AI & ML, Embedded Systems, and Smart Healthcare.

  • ๐Ÿงช Expert in lab development and instruction in electronics, digital communication, and microcontrollers.

  • ๐ŸŒŸ Recognized for academic excellence and mentoring students in cutting-edge tech areas like AR/VR and biomedical instrumentation.

Publicationย Top Notes:

A Novel Electrical Load Forecasting Model Using a Deep Learning Approach

Artificial intelligence-based energy efficiency models in green communications towards 6G

Severity Analysis Automation for Detection of Non-Proliferative Diabetic Retinopathy.

A combined fuzzy backtracking search optimization algorithm to localize retinal blood vessels for diabetic retinopathy

2nd International Symposium on Sustainable Energy and Technological Advancements (ISSETA 2023)โ€ Feb 2023.NIT Meghalaya.

System-on-chip based Automated Optic Disk Segmentation in Retinal Images

Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Award

Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Awardย 

Dr. Francisco Maria Calisto, Institute for Systems and Robotics, Portugal

Francisco Maria Calisto is a PhD candidate in Computer Science and Engineering at Instituto Superior Tรฉcnico, Universidade de Lisboa, Portugal, where he also completed his MSc and BSc degrees. His doctoral research, supervised by Prof. Jacinto Nascimento and Prof. Nuno Nunes, focuses on the human-centered design of personalized intelligent agents in medical imaging diagnosis, aiming to enhance clinical decision-making through the integration of AI. He has been a doctoral researcher at ISR-Lisboa, where he developed intelligent agents to assist in breast cancer diagnosis, and has held visiting scholar positions at Carnegie Mellon University, working on human-machine collaboration in healthcare. Francisco’s academic contributions include various scholarships, teaching assistant roles, and research fellowships, along with expertise in deep learning techniques and user-centered design approaches in healthcare technology. He is actively involved in research that bridges human-computer interaction and medical applications, aiming to improve diagnostic efficiency and clinician satisfaction.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Based on the provided curriculum vitae of Francisco Maria Calisto, it is evident that he is an exceptionally qualified candidate for the Best Researcher Award in the field of Computer Science and Engineering. His extensive academic and research background highlights several key attributes that support his suitability for this recognition.

๐Ÿ“š Education:

  • ๐ŸŽ“ PhD in Computer Science and Engineering (2024) โ€“ Instituto Superior Tรฉcnico, Universidade de Lisboa, Portugal
  • ๐ŸŽ“ MSc in Information Systems and Computer Engineering (2018) โ€“ Instituto Superior Tรฉcnico, Universidade de Lisboa, Portugal
  • ๐ŸŽ“ BSc in Computer Science and Engineering (2017) โ€“ Instituto Superior Tรฉcnico, Universidade de Lisboa, Portugal

๐Ÿ’ผ Work Experience:

  • ๐Ÿ”ฌ Doctoral Researcher (2020 โ€“ 2024) โ€“ ISR-Lisboa, Lisbon, Portugal
  • ๐ŸŒŽ Visiting Scholar (2022 โ€“ 2023) โ€“ Carnegie Mellon University (CMU), USA
  • ๐Ÿฅ Research Fellow (2018 โ€“ 2019) โ€“ Interactive Technologies Institute (ITI), Lisbon, Portugal
  • ๐Ÿค– Research Engineer (2016 โ€“ 2018) โ€“ ISR-Lisboa, Lisbon, Portugal
  • ๐Ÿ–ฅ๏ธ Online Editor & Web Developer (2016 โ€“ 2017) โ€“ Elsevier (Remote, UK)
  • ๐Ÿง  Research Assistant (2015 โ€“ 2017) โ€“ INESC-ID, Lisbon, Portugal
  • ๐Ÿ’ก Summer Intern (2015) โ€“ INESC-ID, Lisbon, Portugal

๐ŸŽ“ Teaching Experience:

  • ๐Ÿ‘จโ€๐Ÿซ Invited Teaching Assistant (2023 โ€“ Present) โ€“ Instituto Superior Tรฉcnico (IST), Lisbon, Portugal
  • ๐Ÿซ Teaching Assistant (2019) โ€“ Instituto Superior Tรฉcnico (IST), Lisbon, Portugal
  • ๐Ÿ“– Supporting Lecturer (2016 โ€“ 2019) โ€“ Instituto Superior Tรฉcnico (IST), Lisbon, Portugal

๐Ÿ† Achievements, Awards & Honors:

  • ๐ŸŽ–๏ธ FCT Scholarship (2020 โ€“ 2024) โ€“ Fundaรงรฃo para a Ciรชncia e a Tecnologia (PD/BD/150629/2020)
  • ๐Ÿ… CMU Portugal Program Scholarship (2018 โ€“ 2019) โ€“ (CMU/ECE/0005/2017)
  • ๐ŸŽ“ BL89/2017-IST-ID Scholarship (2017 โ€“ 2018)
  • ๐ŸŒ Developed BreastScreening-AI Framework โ€“ Enhancing breast cancer diagnosis using AI
  • ๐Ÿ† Published in Top Scientific Journals & Conferences โ€“ Google Scholar: KI0G_SUAAAAJ

Publicationย Top Notes:

BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions

Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Dimensions Of Trust Scale (DOTS) LaTeX Version: v1.0.2-alpha

Towards touch-based medical image diagnosis annotation