Venkateshwarla Rama Raju
CMR College of Engineering & Technology, CMR College of Engineering and Technology, Nizam's Institute of Medical Sciences, University of Sheffield
About
Venkateshwarla R Rama Raju received the B.Sc.(Hon`s) Degree in Electronics with specialization in transistor characteristics digital electronics in 1984 from Osmania University, a post B.Tech(Hon`s) Degree in Computer Science & Engineering(CSE) with Artificial Intelligence – Robotics & Biomedical Engg (AI&R, BME) specialization from University of Hyderabad(UoH) Central University(HCU) in 1988, a M.Tech Degree in Computer Science & Technology with AI/Machine Translation NLP specialization from JNU New Delhi in 1992, a PhD Degree in Transdiscipline CSE and AI and Biomedical Eng & Neurology-Neurosurgery from Nizam`s Inst of Medical-Sciences(NIMS)Hospital ( 2009) all in India. He also pursued an Advanced masters MS Degree through research in Cognitive Science (AI/Medical-Neuroscience, Natural Language-and-Speech Processing, Speech-Technology&Auditory-Processing) at ILASH-Research Centre, Computer Science Dept, University of Sheffield(England,1994-95), M.Phil/D.Sc. Degree in Biomedical-Signal-processing from the Bioengineering-Transducers-Signal-Processing(BTSP) Research Group of University of Leicester(UoL) Dept of Engg(England,1995-97), worked as Scientist/Engineer at Planning Commission (NewDelhi) through Indian Engineering Services (IES), Research Fellow at UOS-and-UoL. Presently, he is a full Professor at CMRCET Hyderabad involved in developing and applying new estimation, systems and control-tools in order to: build computational simulation and statistical models of electrical-activity in neural-circuits affected by Parkinson`s disease(PD), understand electro-physiological-dynamics of neural-circuits in health/disease-states during DBS treatment, design more effective, adaptive, and safer DBS-strategies for neurological-neurodegerative-disorders; design new clinical/clinico-statistical-experiments, develop/apply systems-level mathematical-frameworks for modeling-and-controlling neuronal-network-activity in the brain with DBS, create a more intelligent-system for both placing-and-controlling the electrodes; implant an intelligent-chip that continuously measures-monitors neural-activity, and finally build an effective new cadre-of-researchers who bridge the training and thinking gaps toward major-advances in trans discipline neuroscience. He has over 180 papers published in national and international journals and over 12 chapters in various text books - proceedings. He is a Professional member of different scientific societies of engineering medicine biology and computing: Life member of ISTE, senior member of IEEE (USA), British Computing Society (BCS, UK), LAM of Indian Academy of Neurology (IAN), life member of Indian Academy of Neurosciences (IANs), Member [# 46708] of International Parkinson Disease and Movement Disorders society (WI, USA), Neurological Society of India (NSI), member of Andhra Pradesh Neurology society and neuroscientists association, etc. He was granted [SR/CSRI/201/2016] by the Dept of Science & Technology (DST), Ministry of Science&Technology, Govt of India, New Delhi.
Biosketch: Dr Raju is one of the distinguished pioneers of the field of computational neuroscience and cognitive system, computer science – artificial intelligence (AI) machine intelligence and machine learning (ML), and biomedical/neural systems engineering with applications to Parkinson`s disease (PD), dystonic movement disorders, Alzheimer`s, cancer, epileptic seizures, etc. He is recognized for his leadership in naming and shaping the discipline as well as contributing significantly to its understanding and maturation. He has written many peer reviewed papers and served as the keynote speaker at many conferences. In parallel, he has authored nearly 300 archival publications and, served as Editor-in-Chief of International Journal of Health Rejuvenation, Peer reviewer of the BRAIN Informatics Journal, IEEE Transactions on Biomedical Engg – IEEE Engineering Medicine & Biology (EMB), International Federation of Medical and Biological Engineering (IFMBE, Canada), Taylor & Francis (UK), Journal of Neurosciences, international journal of aesthetics and health rejuvenation Dr. Raju’s outstanding accomplishments in the field of neural engineering are numerous. He has excelled in four major CSE areas in particular: analyzing and monitoring Parkinson`s brain disease and nerve injury and muscle damages using advanced signal and image processing and analysis methods; developing vital technology for neural interfaces; leading the development of neural prosthetics capable of dexterous manipulation.
Employment
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CMR College of Engineering & Technology Academic Teaching and R&D/Professor. Dr.2003 - 2036
Education
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CMR College of Engineering and Technology PhD/Dr. Professor2015 - Present
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Nizam's Institute of Medical Sciences MS PhD/Dr. Research Professor R&D1998 - Present
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University of Sheffield Master of Science in Cognitive Science Speech language and auditory processing SLAP1994 - 1995
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Jawaharlal Nehru University M.Tech/Computer Science & Systems Technology1991 - 1992
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University of Hyderabad Post B.Tech/Computer Science & Eng Special: A.I. Robotics & Biomedical Eng1985 - 1988
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Osmania University B.S (Hon```s) Electronics as Major, physics and mathematics ancillary1981 - 1984
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Awareness of medical issues in health sciences and in scientific technological education Save
- Adaptive Closed-Loop Deep Brain Stimulator Coding Techniques for Target Detections in Parkinson’s Save
- Deep Brain Stimulation Coding in Parkinson’s: An Evolving Approach Save
- Statistical Analysis of MER Data of STN DBS Using Variance RMS Coherence and Entropy Techniques in Parkinson`s Disease Save
- Computer Analysis of Local Field Potentials of MER Data with STN Deep Brain Stimulation in Parkinson`s Disease Save
- Effect of Microelectrode Recording in Accurate Targeting STN with High Frequency DBS in Parkinson Disease Save
- Objective methods for quantifying the deep brain stimulation (DBS) efficacy in subthalamic-nuclei (STN) neurons with microelectrode recording (MER) technology Save
- Microelectrode recording System for Acquiring EMG Writer`s Cramp Signals Save
- Microelectrode Signal Recording with ARTEMG System in Mirror Movements of Writer`s Cramp – Part II: Execution, and Test for Accuracy (Multivariate Diagnostic Clinico—Statistical Analysis) Save
- Mirror dystonia movements in writer's cramp – A study with advanced multi-channel EMG system Save