Shantala Hegde | Psychology | Best Researcher Award

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Dr. Shantala Hegde | Psychology | Best Researcher Award šŸ†

Additional Professor at National Institute of Mental Health and Neuro Sciences, India.

Dr. Shantala Hegde, an Additional Professor, is an accomplished researcher in the field of neuroscience and cognitive science, with a particular focus on Parkinson’s disease, music-based interventions, and neuropsychology. Her contributions include notable publications in esteemed journals such as Movement Disorders, and participation in international and national research projects. She has demonstrated expertise in applying machine learning approaches to differentiate neurodegenerative conditions, investigating auditory processing in essential tremor, and studying resting-state brain networks in Parkinson’s disease. Additionally, her work explores the neuropsychological impacts of music and cognitive retraining interventions.

Profile

Scopus

ORCID

Google Scholar

Education šŸŽ“:

Dr. Shantala Hegde holds an advanced educational background rooted in neuroscience and psychology. She earned her doctoral degree in neuropsychology, focusing on cognitive and emotional processing. Dr. Hegde’s training combines expertise in clinical neuropsychology, neuroimaging, and music cognition. Throughout her academic journey, she pursued interdisciplinary education, blending neuroscience with art and technology to explore innovative therapeutic approaches. Her commitment to advancing education extends to her active participation in international conferences and workshops. She continually builds on her foundation, contributing to emerging fields like machine learning in neuropsychology. Her education emphasizes a blend of traditional psychological understanding and cutting-edge technological methods, establishing her as a leader in neuroscience research and education.

Work Experience šŸ’¼:

Dr. Shantala Hegde has over two decades of experience in neuroscience, focusing on neuropsychological assessment, cognitive rehabilitation, and neuroimaging. As an Additional Professor, she has led numerous research initiatives exploring neurodegenerative disorders, particularly Parkinson’s disease, and interventions for cognitive dysfunction. Her expertise spans academia, clinical neuropsychology, and interdisciplinary research, enabling her to contribute significantly to her field. Dr. Hegde has served as a collaborator on prestigious international projects, such as Many Voices, and has secured national and international research grants. Her experience includes applying advanced methodologies, such as machine learning, to differentiate cognitive impairments and designing music-based therapeutic interventions. Dr. Hegdeā€™s extensive teaching experience and mentorship have inspired many students and researchers in neuroscience, psychology, and cognitive science.

Awards and Honors

Dr. Shantala Hegde has received several accolades for her contributions to neuroscience and cognitive science. She has been recognized for her innovative research on music therapy and neuropsychological interventions. Dr. Hegdeā€™s groundbreaking work on machine learning applications in Parkinson’s disease has garnered appreciation at international conferences, including Movement Disorders. She has been invited to deliver keynote presentations at renowned conferences and has received awards for her interdisciplinary contributions to music cognition and neuropsychology. Dr. Hegde’s participation in prestigious projects, such as Many Voices, reflects her recognition as a global collaborator in neuroscience research. Her dedication to advancing therapeutic interventions for neurodegenerative disorders continues to earn her accolades and recognition from the academic and scientific communities.

Research Interests:

Dr. Shantala Hegdeā€™s research focuses on understanding cognitive and emotional processing in neurodegenerative disorders, particularly Parkinson’s disease. She leverages interdisciplinary approaches, combining machine learning, neuropsychology, and music cognition, to develop innovative diagnostic and therapeutic interventions. Her studies include differentiating Parkinson’s disease dementia from mild cognitive impairment, analyzing auditory processing in essential tremor, and exploring resting-state brain networks in Parkinson’s disease with visual hallucinations. Additionally, Dr. Hegde investigates the therapeutic potential of music-based interventions to target stress and cognitive dysfunction. Her ongoing projects include collaborations on international research initiatives like Many Voices and studies on postoperative delirium and cognitive dysfunction. Dr. Hegdeā€™s research aims to integrate technology and art into neuroscience, fostering new approaches to diagnosing and managing cognitive disorders.

šŸ“š PublicationĀ 

Music-based cognitive remediation therapy for patients with traumatic brain injury

Authors: S. Hegde

Citations: 158

Year: 2014

Addition of home-based cognitive retraining to treatment as usual in first-episode schizophrenia patients: A randomized controlled study

Authors: S. Hegde, S.L. Rao, A. Raguram, B.N. Gangadhar

Citations: 79

Year: 2012

Neural plasticity: The substratum of music-based interventions in neurorehabilitation

Authors: D. Chatterjee, S. Hegde, M. Thaut

Citations: 71

Year: 2021

Interactions of visual hallucinations, rapid eye movement sleep behavior disorder, and cognitive impairment in Parkinson’s disease: A review

Authors: A. Lenka, S. Hegde, K.R. Jhunjhunwala, P.K. Pal

Citations: 70

Year: 2016

Cognitive profile and structural findings in Wilson’s disease: A neuropsychological and MRI-based study

Authors: S. Hegde, S. Sinha, S.L. Rao, A.B. Taly, M.K. Vasudev

Citations: 58

Year: 2010

The Oxford handbook of music and the brain

Authors: D. Hodges, M. Thaut

Citations: 57

Year: 2019

Music therapy for mental disorder and mental health: The untapped potential of Indian classical music

Authors: S. Hegde

Citations: 54

Year: 2017

Hippocampal subfield atrophy in patients with Parkinsonā€™s disease and psychosis

Authors: A. Lenka, M. Ingalhalikar, A. Shah, J. Saini, S.S. Arumugham, S. Hegde, et al.

Citations: 47

Year: 2018

Pattern of cognitive impairment in patients with Parkinson’s disease and psychosis: A critical review

Authors: A. Lenka, S. Hegde, S.S. Arumugham, P.K. Pal

Citations: 43

Year: 2017

Cognitive deficits and its relation with psychopathology and global functioning in first-episode schizophrenia

Authors: S. Hegde, J. Thirthalli, S.L. Rao, A. Raguram, M. Philip, B.N. Gangadhar

Citations: 43

Year: 2013

ConclusionĀ 

Dr. Shantala Hegde is an exemplary candidate for the Best Researcher Award, owing to her impactful contributions to neuroscience, cognitive science, and interdisciplinary research. Her innovative applications of machine learning and music therapy, combined with a robust track record of publications and collaborative projects, position her as a leader in her field. By addressing areas for improvement, such as enhancing the visibility and impact of her work, she could further solidify her standing as an eminent researcher.

 

Shweta Koparde | Cognitive Development | Best Researcher Award

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Mrs Shweta Koparde | Cognitive Development | Ā Best Researcher AwardĀ 

D Y Patil University,Ā Navi Mumbai, India

Shweta Ashish Koparde is a dedicated Computer Engineering academic currently pursuing her PhD at D.Y. Patil University, Mumbai. She holds an M.E. with Distinction and a B.E. from Pune University. With extensive teaching experience in subjects like AI and Computer Networks šŸ–„ļø, she has also guided colleges through NBA accreditation and contributed to SPPU syllabus revisions šŸ“š. Skilled in Python, C++, Java, and more, Shweta blends practical industry experience from her time as a Software Engineer with her academic pursuits. She was awarded the ā€œBest Outgoing Studentā€ for her M.E. from MCOERC, Nashik šŸ†.

 

Professional Profile:

Education

PhD in Computer Engineering (Pursuing) DY Patil University, Mumbai RPS-II completed M.E. in Computer Engineering (2013)University of Pune First Class with Distinction from MCOERC, Nashik 7.88 CGPA šŸŽ“āœØ B.E. in Computer Engineering (2005) University of Pune First Class from VIT, Pune 64.06%

H.S.C. (High School Certificate) S.M.V Akurdi, Pune Board of Pune 84.00% First Class with Distinction šŸŽ–ļøšŸ…S.S.C. (Secondary School Certificate) Jana Prabodhini, Akurdi, Pune Board of Pune 87.06% First Class with Distinction šŸ†šŸ“œ

Technical Skill Sets

Operating Systems: Windows, Linux, Ubuntu, Android šŸ–„ļøšŸ§šŸ“± Programming Languages: Python, C, C++, VB 6, Java, VB.Net, Android Bundle, Android Studio šŸ’»šŸ“² Databases: Oracle 9i, SQLite šŸ—„ļø Tools: Rational Rose, Lex, Yaac, NS2 šŸ› ļøšŸ”§

Work Experience

Assistant Professor

Guided four colleges (KBT COE, Nasik; PCCOE Akurdi; NMIT Talegaon; Vidyavardhini College of Engg & Technology, Mumbai) for NBA visit šŸ«šŸ‘Øā€šŸ«Successfully registered for PhD in Computer Engineering at RAIT, Nerul, and DY Patil University šŸ“ššŸ“Worked as member in SPPU syllabus revision for TE 2019 and BE 2019 Course šŸ“‹Served as SPPU Paper setter for subjects SPOS and Augmented Reality šŸ“šŸ“šInstitute NBA Coordinator & Criteria-10 Coordinator šŸ…ISO Coordinator šŸ¢āœ”ļøIn charge for direct second-year admission process šŸ«PBL coordinator for Second Year Project šŸ”Higher study cell coordinator šŸ“ˆšŸŽ“Reviewer and session chair for CPGCON -2016 šŸ—£ļøšŸ“‘NSS member and coordinator at various colleges šŸŒ±šŸ¤External examiner for university exams šŸŽ“

Software Engineer (2.5 years)

Synthesis Software, Pune šŸ–„ļøWinjit Technologies, Nashik šŸ’¼

Subjects Taught

Computer Networks šŸŒ System Programming & Operating System šŸ–„ļø Artificial Intelligence & Robotics šŸ¤– Digital Electronics & Logic Design šŸ”Œ Smart System Design and Application šŸ—ļøĀ  Theory of Computation šŸ“š Operating System Design šŸ–„ļø Principles of Programming Languages šŸ’» Discrete Structures šŸ§® Software Architecture šŸ›ļø Object-Oriented Programming šŸŒŸĀ  Mobile Computing šŸ“±

Achievements

  • Received the ā€œBest Outgoing Studentā€ Award for M.E. from MCOERC, Nashik šŸ…šŸŽ“

Activities & Contributions

Completed multiple MOOC certifications in DevOps and IoT under PBL via Coursera šŸ“œšŸ’” Coordinated an event on “Architecting the Next Generation Governance” with Dr. K. Subramanian šŸŽ¤šŸ“Š Worked in prize distribution committee for annual functions šŸŽ‰ Maintained and managed student achievement records šŸ“ˆšŸ“Š Worked in ARC for 5 years and on mandatory disclosure for compliance reports šŸ“‹āœ”ļø

Research Focus

Currently pursuing a PhD in Computer Engineering, focusing on advanced computational methods and their applications in real-world problems šŸ§ šŸ” Engaged in syllabus revision and paper setting for advanced computer engineering courses, contributing to academic standards and curriculum development šŸ“šāœØ

publication

 

 

 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

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Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardĀ 

Senior Assistant Professor at Ā Central University of Karnataka, Kalaburagi,India

šŸ“š šŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. šŸ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. šŸ–„ļø His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. šŸ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. šŸ… He has received two best research paper awards and actively participates in international conferences and committees. šŸŒ Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

šŸ“š Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

šŸ¢ Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

šŸ… Awards and Honors:

  • Two Best Research Paper Awards šŸ†
  • UGC Major Research Project Fellow šŸŒŸ

šŸ”¬ Research Focus:

  • Digital Image Processing šŸ“·: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition šŸ”: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing šŸ“„: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning šŸ¤–: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision šŸ‘ļø: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

šŸ“š Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

šŸŽ“ Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications:Ā 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene ImagesšŸ“˜,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at WordlevelšŸ“—,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ“™,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP featuresšŸ“š,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognitionšŸ“•,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA featuresšŸ““, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA featuresšŸ“„,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: SurveyšŸ“‘,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual documentšŸ“‚,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological featuresšŸ“‹,

Communications in Computer and Information Science, 2017, cited by 0.