FTNCT'09

Keynote Speakers

Name: Mr. Guru Charan Kakaraparthi
Affiliation: Cloud Engineer and Researcher, PRC Cloud Tech LLC, United States
LinkedIn Profile: https://www.linkedin.com/in/always-guru-charan
Date & Time: Date: 18/12/2026 Time: Will be updated.. IST
Title: The Intelligent Zero Trust Cloud: AI-Driven Security for the Next Generation of Cloud Computing

Brief Abstract of Talk:
The Intelligent Zero Trust Cloud integrates artificial intelligence with behavioral analytics, adaptive access control, continuous verification, and automated threat detection to enhance cloud security. By securing identities and workloads, adapting to evolving threats, and dynamically evaluating risk, companies can establish strong, intelligent, and proactive security for next-generation cloud environments.For more information visit his profile: https://www.linkedin.com/in/always-guru-charan

Name: Mr. Shashidhar Bhat
Affiliation: Senior Software Engineer,ByteDance, United States
LinkedIn Profile: https://www.linkedin.com/in/shashibhat07/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Smart Scheduling for a GPU-Hungry World: Reinventing Kubernetes for AI Scale

Brief Profile:
Shashidhar Bhat is a technology leader in AI infrastructure and distributed systems, known for architecting platforms that enable high-performance GPU training and petabyte-scale data processing. At ByteDance, he works on next-generation AI compute infrastructure, shaping how GPU clusters are scheduled, partitioned, and optimized for large-scale model training. His work spans GPU time-slicing, utilization-aware rescheduling, DCGM-driven insights, and Kubernetes-native orchestration techniques that elevate throughput and efficiency across global clusters. With more than 15 years in enterprise-scale infrastructure, Shashidhar has served as the lead architect transforming legacy, monolithic systems into modern cloud-native, AI-driven platforms, redesigning them around Kubernetes, microservices, and intelligent data pipelines. For more information visit his profile: https://www.linkedin.com/in/shashibhat07/

Name: Mr. Balakumar Ravindranath Kunthu
Affiliation: Managing Delivery Architect, Capgemini America Inc, Atlanta, United States
LinkedIn Profile: www.linkedin.com/in/balakumar-kunthu-955b6414/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: From ARPU to AI-Driven Value: Reinventing Telecom for the 6G Economy

Brief Profile:
Balakumar Ravindranath Kunthu is a seasoned technology leader with over 28+ years of experience driving telecom transformation, enterprise data architecture, and large-scale digital modernization across the USA, UK, and Europe. As a Managing Delivery Architect at Capgemini America Inc., he leads enterprise architecture strategy, cloud modernization initiatives, AI-driven customer experience programs, and next-generation data ecosystem transformations for major telecommunications operators.He is a Fellow of the British Computer Society (BCS), a Distinguished Fellow of SCRS, a Fellow of IETE, and a Senior Member of IEEE. He has published journal papers in reputed, indexed venues including Springer and IEEE, and serves as a reviewer for international journals and conferences organized by IEEE.For more information visit his profile: www.linkedin.com/in/balakumar-kunthu-955b6414/

Name: Mr. Deepak Giri
Affiliation: Financial Technology Specialist | Ex-Millennium Management, United States
LinkedIn Profile: https://www.linkedin.com/in/deepak-a-giri/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Scalable Real-Time AI Systems for High-Performance Applications

Brief Profile:
For more information visit his profile: https://www.linkedin.com/in/deepak-a-giri/

Name: Ms. Suchismita Chatterjee
Affiliation: Cyber Security Product Specialist Expert, Pacific Gas and Electric Company, United States
LinkedIn Profile: https://www.linkedin.com/in/suchismita-suz-c-51773699/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Importance of Identity and Access Management in setting the BCSI-NERC repository

Brief Profile:
Suchismita Chatterjee is a highly accomplished cybersecurity and DevOps professional with over 11 years of experience spanning cloud security, infrastructure engineering, and security automation. She is widely recognized for her ability to bridge deep technical expertise with strategic risk management, helping organizations design secure, compliant, and resilient cloud platforms across AWS, Azure, and GCP. Throughout her career, Suchismita has worked at the intersection of DevSecOps, compliance, and enterprise infrastructure, leading initiatives in identity and access management, continuous security monitoring, vulnerability management, and regulatory alignment. Her work has supported complex compliance frameworks such as NERC, SOC 2, HIPAA, and GDPR, particularly within highly regulated industries like energy, utilities, and financial services. What sets her apart is her hands-on leadership style—she doesn’t just design controls, she helps teams operationalize them through automation and measurable outcomes.Beyond her professional role, Suchismita is deeply engaged in the global cybersecurity and innovation community. She is a certified CISM professional, a DevSecOps practitioner, an academic journal fellow member, and an active IEEE professional member. She regularly contributes as a peer reviewer, session editor, conference chair, and keynote speaker, reflecting her commitment to advancing both research and practice. She is also the inventor of GloPaw, a patented wildlife tracking and protection application created to support forest rangers and conservation efforts—an initiative that reflects her passion for applying technology to real-world humanitarian and environmental challenges.Driven, curious, and impact-focused, Suchismita combines technical depth with purpose-driven leadership, making her a respected voice in cybersecurity, DevSecOps, and digital innovation.For more information visit her profile: https://www.linkedin.com/in/suchismita-suz-c-51773699/

Name: Mr. Shiva Kumar Madishetty
Affiliation: Advanced Software Engineer, R&D, Steris Surgical Solutions, United States
LinkedIn Profile: https://www.linkedin.com/in/shiva-kumar-madishetty-20b703a/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: IoT and RTLS Integration for Intelligent Equipment Tracking in Healthcare

Brief Profile:
Shiva Kumar Madishetty, Senior Member of IEEE, is a Certified Scrum Master (CSM), embedded systems engineer, inventor, and researcher with more than a decade of experience in medical device technology, embedded firmware development, and signal processing. He currently serves as an Advanced Software Engineer at STERIS Healthcare, where he leads Agile software development for FDA-regulated surgical systems, integrating real-time control, safety-critical firmware, and embedded system architecture. Shiva Madishetty moved to US in 2010 on a full scholarship award and tuition waiver to pursue his Master of Science in Electrical and Computer Engineering at The University of Akron graduated in 2013. He also holds a Bachelor’s in Electronics and Communication Engineering from Kakatiya University graduated in 2010. As a Certified Scrum Master, Shiva has led cross-functional teams of 8–10 engineers through Agile sprints, retrospectives, and backlog grooming sessions, ensuring high-quality deliverables, strong team collaboration, and regulatory compliance under standards such as IEC-62304. His experience spans STM32 embedded platforms, Azure/ThreadX RTOS, bootloader design, and low-level communication protocols (UART, SPI, CAN), along with extensive use of Atlassian tools (JIRA, Bitbucket, Bamboo) for CI/CD pipelines. Shiva is also an active IEEE researcher and Senior Member, with several IEEE-indexed publications totaling over 140 citations. His work on algebraic-integer-based VLSI architectures for wavelet filters has been featured in IEEE Transactions on Circuits and Systems, IEEE Transactions on VLSI Systems, and ISCAS. Additionally, he is the co-inventor of a U.S. patent (pending) on distributed and redundant control architectures for surgical tables at Steris Corporation in Mentor, OH. For more information visit his profile: https://www.linkedin.com/in/shiva-kumar-madishetty-20b703a/

Name: Mr. Tanay Kulkarni
Affiliation: Asset Management Consultant, Freese and Nichols, United States
LinkedIn Profile: https://www.linkedin.com/in/kulkarnitanu/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Urban water distribution networks (WDNs) form the invisible lifelines of modern cities

Brief Profile:
Tanay Kulkarni is an Infrastructure Asset Management Consultant with Freese and Nichols, Inc. He specializes in asset management and decision intelligence for water, wastewater, stormwater, and transportation infrastructure systems. With over ten years of experience, he has led the development of asset management programs involving risk-based planning, performance monitoring, condition assessment, and regulatory compliance. He is a member of AWWA’s Asset Management and EMAC Committees, WEAT, and a Senior Member of IEEE. He is also a peer-reviewed author of over twenty technical publications in the field and is currently co-authoring AWWA's Manual of Practice M32, "Computer Modeling of Water Distribution Systems." In his free time, he reviews research papers for ASCE's Journal of Pipeline Systems Engineering & Practice, as well as numerous IEEE conferences & journals. For more information visit his profile: https://www.linkedin.com/in/kulkarnitanu/

Name: Prof. Teresa A. Oliveira
Affiliation: Universidade Aberta & CEAUL, Portugal
Profile: https://ceg.uab.pt/research/researchers/researcher/teresa-paula-costa-azinheira-oliveira/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Recent Studies on Risk Analysis and Statistical Modeling

Brief Profile:
Teresa A. Oliveira is Associate Professor with Habilitation in Mathematics Statistics at the Open University (UAb) in Lisbon since December 2019, belonging to the Department of Science and Technology (DCET). She joined UAb in November 1999 becoming an Assistant Professor in June 2000. Currently, she is a collaborating member of CEG, LEAD, and CIAC of UAb, and an integrated member of CEAUL – Center for Statistics and Applications of the University of Lisbon (2000-). She obtained her Master’s (1994) and Doctorate (2000) degrees in Statistics and Operations Research at the Faculty of Sciences of this University, and graduated in Applied Mathematics (1987). At UAb, she is currently a member of the General Council, having been the Coordinator of the Mathematics Section for three years and the Director of DCET for a two-year term. She participated in the creation of all courses in the Mathematics area of DCET, being the proponent and Coordinator of the Master’s Program in Biostatistics and Biometry and Co-Coordinator of the Postgraduate Course in Forestry Sciences. For more information visit her profile: https://ceg.uab.pt/research/researchers/researcher/teresa-paula-costa-azinheira-oliveira/

Name: Ms. Jyoti Shah
Affiliation: Director of Application Development, ADP, United States
Linkedin Profile: https://www.linkedin.com/in/jyoti-shah-6a550817/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Resource-Aware Scheduling for AI Workloads in Multi-Cloud Environments

Brief Profile:
Jyoti Shah is currently working as Director of Application Development at ADP, over 3 years of leadership she has focused on delivering robust enterprise solutions powered by Oracle, Java, and AngularJS. The role emphasizes optimizing application performance, enhancing user interfaces, and fostering innovation in line with Agile principles and SDLC best practices. Contributions have included collaboration on impactful design patterns and ensuring seamless deployment within complex systems. Previous experience as Principal Software Engineer and Lead Application Developer at ADP strengthened expertise in building responsive, scalable applications using Spring frameworks and modern front-end technologies. Motivated by a commitment to technical excellence, the current focus lies in driving strategic initiatives and empowering teams to achieve sustainable growth through advanced application development strategies. For more information visit LinkedIn profile: https://www.linkedin.com/in/jyoti-shah-6a550817/

Name: Mr. Chirag Agrawal
Affiliation: Senior Software Engineer,Amazon, United States
Linkedin Profile: https://www.linkedin.com/in/agrawalchirag/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Designing AI Agentic Loop

Brief Profile:
Chirag Agrawal is a seasoned technology professional with over a decade of experience in building large scale AI platforms, distributed systems, and developer tooling. As a Senior Engineer and Tech Lead, he specializes in LLM infrastructure, advanced AI-powered conversational systems and multi-agent orchestration including agent execution, system prompt engineering, AI tool use, AI memory, Software Development Kit, and Compilers for AI Agents. Chirag leads cross-functional architectural initiatives, driving lower latency, reliability, and scale for Alexa and its developer ecosystem. For more information visit LinkedIn profile: https://www.linkedin.com/in/agrawalchirag/

Name: Prof. Amilcar Oliveira
Affiliation: Universidade Aberta & CEAUL, Portugal
Google Scholar: https://scholar.google.com/citations?user=nBhbLe4AAAAJ&hl=pt-PT/
Date & Time: Date: 18/12/2026 Time: Will be updated.. IST
Title: Big data sets in environmental studies

Brief Profile:
Amílcar Manuel do Rosário Oliveira is Associate Professor of Statistics with Habilitation in the Department of Sciences and Technology, at the Universidade Aberta (UAb), Portugal, www.uab.pt. He holds a PhD in Mathematics (Statistical Modelling) (Universidade Aberta, Lisbon-2008), Master degree in Statistics and Optimization (Faculty of Sciences and Technology, New University of Lisbon-1999) and Degree in Civil Engineering. Research interests include Statistical Modelling, Statistical Quality Control, Risk Analysis and Risk Assessment, Computational Statistics, Data Analysis, Mathematical and Statistical e-Learning, and Distance Learning. He is Assistant Professor of Introduction of Applied Statistics, Computational Statistics, Operations Research on the Graduates degree’s, Statistical Computation on the Master’s degrees, and Statistical Modelling on the PhD program in Applied Mathematics and Modelling offered by the Department of Sciences and Technology, Universidade Aberta (UAb), Portugal.He has published several papers in international journals, books, chapters of books and proceedings.. He has supervised several PhD and master thesis regarding these fields.He co-organized several international conferences on Statistics, Mathematics and Computation (13th Edition - 2019), as well as Portuguese-Polish Workshops on Biometry (5rd Edition May 2016) He is integrated member of the Center of Statistics and Applications, University of Lisbon.. For more information visit his profile: https://repositorioaberto.uab.pt/entities/person/1c873476-22fd-4331-8286-ff5576ac3b0c/

Name: Mr. Ranganath Nagesh Taware
Affiliation: Chief Architect, Capgemini Americ Inc., United States
Linkedin Profile: https://www.linkedin.com/in/ranganath-taware-9a33211/
Date & Time: Date: 18/12/2026 Time: Will be updated.. AM IST
Title: The AI-Driven Telco: Building Cognitive Networks and Autonomous Billing

Brief Profile:
Ranganath Taware is a seasoned technology leader with over 24 years of experience in the IT industry, specializing in the telecom, media, and technology sectors. As Chief Architect at Capgemini America Inc., he has spearheaded the design and delivery of telecom cloud native BSS/OSS platforms, championed 5G and XaaS innovation, and seamlessly integrated Generative AI into software development lifecycles and customer engagement systems. Ranganath is a recognized expert in AI productivity tools such as Microsoft Co-Pilot, Google Gemini, and Windsurf, and has successfully led the implementation of enterprise-scale platforms including Amdocs and KenanFx. A committed advocate of industry collaboration, he is an active adaptor to TM Forum, where he plays a key role in shaping global standards for telecom data and integration. For more information visit LinkedIn profile: https://www.linkedin.com/in/ranganath-taware-9a33211/

Name: Mr. Sathish Krishna Anumula
Affiliation: Senior Enterprise Architect, IBM Corporation, Detroit, United States
Linkedin Profile: https://www.linkedin.com/in/sathishkrishna/
Date & Time: Date: 18/12/2026 Time: Will be updated.. IST
Title: Neuromorphic Computing - Emerging Trends

Brief Profile:
Sathish Krishna Anumula is an accomplished Enterprise Architect with over 23 years of experience in digital transformation, software solutions, and cloud computing across various industries, including manufacturing, supply chain, and utilities. He is recognized as an expert in hybrid cloud solutions, IIOT, and machine learning. With over two decades of Industry Experience, he has established himself across multinational corporations and academia, specializing in: (i) Computer Science (ii) Cloud Computing (iii) Machine Learning (iv) Artificial Intelligence (v) Electronics Design (Industrial & Medical), Manufacturing, Supply Chain (vi) Autonomous Systems & Robotics (vii) Quantum Computing His extensive expertise spans both industry and academic sectors, where he has contributed significantly to technological advancement and knowledge dissemination in the form of Engineering Text books. Mr. Sathish has demonstrated exceptional proficiency in bridging theoretical concepts with practical applications across these cutting-edge technological domains. For more information visit LinkedIn profile: https://www.linkedin.com/in/sathishkrishna/

Name: Mr. Ohm Hareesh Kundurthy
Affiliation: Director, App Dev Risk/Finance Reporting, Santander Bank, United States
Linkedin Profile: https://www.linkedin.com/in/ohm-hareesh-kundurthy/
Date & Time: Date: 19/12/2026 Time: Will be updated.. IST
Title: Nextgen AI-Powered Data-Driven Decision Support Systems (DSS) in Financial Risk, Compliance, and Treasury

Brief Profile:
Ohm Kundurthy is a strategic data architect with over 18 years of experience designing and leading enterprise data platforms across regulatory compliance, credit and market risk, capital adequacy, liquidity, and financial reporting in the global banking sector. Currently working as Director, Application development @ Santander Bank. His expertise lies in modernizing legacy ecosystems, leading cloud transformations (Snowflake, Power BI), and architecting scalable solutions that support retail, commercial, investment banking, and capital markets. I’ve most recently led cross-functional initiatives, enabling compliance through data-driven decision support systems. I bring a rare blend of deep technical architecture, regulatory domain fluency, and leadership experience, having delivered large-scale programs across global banks and FinTechs. He is passionate about simplifying complexity, aligning architecture to business outcomes, and unlocking strategic insights through next-generation data platforms. For more information visit LinkedIn profile: https://www.linkedin.com/in/ohm-hareesh-kundurthy/

Name: Mr. Hemant Soni
Affiliation: Product Development and Delivery Leader TMT, Capgemini, United States
Linkedin Profile: https://www.linkedin.com/in/hemantsoniatlanta/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: From Data Lakes to Data Fabrics Modernizing Telecom Data Architecture

Brief Profile:
Hemant is a dynamic senior leader with over 20 years of experience advising Fortune 50 companies in the technology, media, and telecom sectors. He has successfully led complex, high-impact programs driving digital transformation and business growth. With deep expertise in business line management, he has delivered projects generating over $5M annually and improved profitability through strategic partnerships with C-level stakeholders. Hemant excels in aligning people, processes, and systems to enhance customer experience and boost financial outcomes. His advisory work spans investment strategy, value realization, and technology-driven business innovation. A skilled program manager, he has streamlined global operations, saving over $500K through process optimization. He also brings sharp insight into marketing, business intelligence, and market development, having led telecom system sales and digital enablement initiatives across geographies. Hemant’s multidisciplinary leadership ensures tangible results, accelerated revenue, and long-term business value. For more information visit LinkedIn profile: https://www.linkedin.com/in/hemantsoniatlanta/

Name: Mr. Venkataram Poosapati
Affiliation: Lead Data Engineer, Atlassian, United States
Linkedin Profile: https://www.linkedin.com/in/venkat-satish-poosapati/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: From Prompt to Pipeline: Scaling Automated Analytics Workflows with LLMs and Cursor

Brief Profile:
Venkat Poosapati is a Senior Data Engineer with 15+ years of experience building scalable, high-impact data platforms and AI/ML infrastructure across global leaders such as Meta, Atlassian, Intuit, Expedia, and Goldman Sachs. He has led end-to-end data engineering initiatives powering multi-billion-dollar products, driving cost savings, operational efficiency, and business growth. His work spans feature store design, marketing analytics, and ML evaluation pipelines at a petabyte scale. A recognized thought leader and reviewer for top AI conferences, Venkat combines deep technical expertise with strategic vision to create intelligent, data-driven ecosystems that enable innovation at enterprise scale. For more information visit LinkedIn profile: https://www.linkedin.com/in/venkat-satish-poosapati/

Name: Mr. Ravi Teja Balla
Affiliation: Oracle Cloud Solution Architect, ABM, United States
Linkedin Profile: https://www.linkedin.com/in/ravitejaballa/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Resource-Aware Scheduling for AI Workloads in Multi-Cloud Environments

Brief Profile:
Ravi Teja Balla is a seasoned Oracle ERP & Cloud Integration Architect, specializing in Oracle Cloud ERP, Oracle Integration Cloud (OIC), Oracle Visual Builder Cloud Service (VBCS) , Oracle Process Automation (OPA) and Oracle Cloud IAM. With extensive experience across Financials, Supply Chain, and Procurement, Ravi has successfully led Oracle ERP Cloud implementations and legacy-to-cloud migrations for global enterprises, ensuring seamless integration, scalability, and compliance. Ravi’s expertise in OIC-based integrations has empowered organizations to automate order processing, inventory management, and real-time financial workflows, significantly improving system performance and reducing manual effort across P2P , Q2C , R2R and O2C flows. Additionally, his proficiency in low-code development with Oracle VBCS and OPA has resulted in the creation of user-friendly, data-driven applications that automate business processes and enhance decision-making capabilities across diverse industries.. For more information visit LinkedIn profile: https://www.linkedin.com/in/ravitejaballa/

Name: Mr. Ammar Ekbote
Affiliation: Software Engineer, Pinterest, United States
Linkedin Profile: https://www.linkedin.com/in/ammarekbote/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Secure AI Integration: Guardrails for Scaling Engineering Teams

Brief Profile:
Ammar Ekbote is a cloud security leader with over 11 years of experience building secure, scalable, and resilient systems across AWS, GCP, and Kubernetes environments. His work bridges deep technical expertise with a passion for innovation and community impact.Currently at Pinterest, Ammar focuses on developing large-scale infrastructure that powers global web communities, emphasizing reliability, automation, and cloud security. Previously, at Lacework, he led the development of agentless workload scanning, a groundbreaking solution that transformed how organizations detect vulnerabilities across multi-cloud environments. His earlier roles at Nimble Storage and QLogic shaped his foundation in distributed storage systems and high-performance firmware development.Ammar is an inventor on multiple U.S. patents in cloud security and distributed systems, covering innovations in agentless scanning, container monitoring, and data transformation for cloud visibility. Beyond engineering, he mentors aspiring technologists and has served as a mentor and judge at global AI hackathons, including Richmond AI Spark and Paris AI Tinkerers, promoting inclusive innovation and hands-on learning. For more information visit LinkedIn profile: https://www.linkedin.com/in/ammarekbote/

Name: Mr. Vijay Bhalani
Affiliation: Project Lead | Sr Data Engineer, AksharIT Solutions LLC, United States
Linkedin Profile: https://www.linkedin.com/in/vijay-bhalani-31463820/
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Bridging AI and Legacy Systems: Real-World Applications in Energy Data Engineering

Brief Profile:
Vijay Bhalani is a Data Engineering leader with over 11 years of experience transforming energy operations through AI/ML solutions and enterprise-scale digital platforms. He has led major initiatives at AksharIT Solutions, Iskandia Energy, Tiandi Energy, and Mire & Associates, specializing in production optimization, predictive analytics, and legacy system modernization. His work has been featured in HartEnergy, BusinessWire, and Offshore Magazine, including contributions to Equinor's Digital Center of Excellence and PTTEP's offshore transformation. He has published research on Generative AI applications and AI-driven HR systems, bridging academic innovation with industrial implementation.. For more information visit LinkedIn profile: https://www.linkedin.com/in/vijay-bhalani-31463820/

Name: Dr. Maanak Gupta
Affiliation: Associate Professor and Associate chair, Department of Computer Science, Tennessee Tech University, TN, USA
Date & Time: Date: 20/12/2026 Time: Will be updated.. IST
Title: Bridging AI and Legacy Systems: Real-World Applications in Energy Data Engineering

Brief Profile:
Maanak Gupta is an Associate Professor and Associate Chair in the Department of Computer Science at Tennessee Tech University where he is the director of the Applied and Basic Cyber Security (ABCyS) research laboratory. He received his Ph.D. in Computer Science from the University of Texas at San Antonio (UTSA), under the supervision of Prof. Ravi Sandhu in December 2018, and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security, UTSA. He is also an associated faculty with the CEROC: Cybersecurity Education, Research & Outreach Center at Tennessee Tech.

TO BE CONFIRMED

Name: Dr. Maheshkumar H.Kolekar
Affiliation: Associate Professor at Electrical Engineering Department, Indian Institute of Technology Patna, India
Google Scholar: https://scholar.google.co.in/citations?user=0WnZiBgAAAAJ&hl=en

Brief Profile:

Dr. Maheshkumar H. Kolekar is working as Associate Professor in Department of Electrical Engineering at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 2007. During 2008 to 2009, he was a Post-Doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. During May to July 2017, he worked as DAAD fellow in Technical University Berlin where he worked in the research area EEG signal analysis using machine learning. His research interests are in the area of Digital Signal, Image and Video Processing, Video surveillance, Biomedical Signal Processing, Deep Learning. Recently, he has authored a book titled as “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, 2018. He has successfully completed R&D Project Sponsored by Principal Scientific Advisor to Govt of India on abnormal human activity recognition.

Past Organisations

CDAC	University of Buenos Aires, Argentina
University of Informatics Sciences, Cuba	University of Cádiz, Spain
Luleå University of Technology, Sweden	Institute of Control Sciences of Russian Academy of Sciences, Russia
University of Malaga, Spain	Technical University of Kosice, Slovakia
University of Habana, Cuba	Southern Federal University, Russia