Analog Lab: People
Kofi Odame is an Assistant Professor of Electrical Engineering at the Thayer School of Engineering at Dartmouth College. Kofi's primary interest is in analog integrated circuits for nonlinear signal processing. This work has applications in low-power electronics for implantable and wearable biomedical devices, as well as in autonomous sensor systems.
Kofi received the Cornell International Scholars and Students Award to study at Cornell University, graduating magna cum laude with a B.Sc. in electrical engineering and a minor in computer science in 2002. He studied as a Cornell African Development Fellow to receive the M.Sc. in electrical engineering, under Bradley Minch in 2004. He then worked in Paul Hasler's lab at the Georgia Institute of Technology, earning the Ph.D. in electrical engineering in 2008.
Dingkun Du is currently a Ph.D. student at the Analog Lab. He has been working on power-constrained sensor interface circuits, with an emphasis on adaptive signal conditioning and data acquisition. He received his M.S. and B.S. degrees in electrical engineering both from Tsinghua University, Beijing, China.
Valerie Hanson is a B.E./M.S. candidate at the Thayer School of Engineering at Dartmouth College. Valerie completed her undergraduate work at Hamilton College, and graduated summa cum laude with a B.A. in physics and a minor in mathematics in 2010. She participated in the dual degree engineering program offered in conjunction with Dartmouth College, and spent her junior year at Thayer School. As an undergraduate she conducted research both at Hamilton and at Oak Ridge National Laboratory researching and developing an automated technique for measuring Helium-3 polarization in helium-based neutron polarizers using electron paramagnetic resonance theory. Her research interests lie in digital signal processing, with a focus on biomedical applications.
Saleh Masoodian received the B.Sc. and M.Sc. degrees from University of Tehran (2009) and Ferdowsi University of Mashhad (2012), respectively. He joined Thayer School of Engineering as a Ph.D. candidate in 2012. His research interests are in the areas of low-power analog and digital integrated circuits design and image sensors. He is a member of Dartmouth Advanced Image Sensor and Analog Labs. His current research project is designing low-power and high-speed readout circuits for the next generation of image sensors, the Quanta Image Sensor.
Yueh-Ching Teng is a Ph.D. candidate at Thayer School of Engineering at Dartmouth. He received the M.Sc. degree in Electrical and Computer Engineering from the Ohio State University, Columbus, Ohio, in 2011. From 2011 to 2012, he was a Researcher Assistant Engineer with ElectroScience Laboratory, where he worked on analog/mixed-signal circuit designs for RFID applications. His current research interests include ultra-low power and low-noise circuit and system design for biomedical applications.
Arun Rao is currently a Ph.D student at Thayer school of Engineering at Dartmouth. He completed his B.E in Electrical Engineering from Bangalore University, and MS from Utah State University. His primary focus during MS was design of low-power front-end amplifiers used on spacecraft instruments to measure the properties of the ionosphere. Upon completion of MS, he worked at LSI Corp in Milpitas, California, as a test engineer. Arun's primary interests are in the field of low-power analog, digital ASIC's for image sensors and biomedical implantable devices. His current project explores the design challenges of the next generation image sensors.
Mohammad Takhti is a PhD candidate in the innovation program at Thayer School of Engineering at Dartmouth College. He received his BS degree in 2007, and his MS degree in the Spring of 2010 from K.N. Toosi University of Technology (KNTU), both in Electronics Engineering. After his MS he worked on wireless power and data telemetry systems for biomedical implants at KNTU as an associate researcher. In Analog Lab. at Dartmouth College, his current work involves implementing a highly-integrated electrical impedance tomography (EIT) system. His research interests also include medical assistive devices, design of analog-to-digital converters, and data and power telemetry to biomedical implantable systems.
Alex Latham, M.S. student. Co-advised with Charlie Sullivan.
- Andrew Ceballos, Presidential Scholars Award
Project: Brain-computer interface using scalp EEG
- Elizabeth Kemp, Honors Thesis
Project: Beamforming microphone array
- Leo Anzagira, John L. Murphy Family Fund Award
Project: Design and implementation of adaptive microphones for hearing aids
- Adam Marano, Honors Thesis
Project: Dartmouth Formula Racing: Driver's display